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35300100688 | # @nzm_ort
# https://github.com/nozomuorita/atcoder-workspace-python
# import module ------------------------------------------------------------------------------
from collections import defaultdict, deque, Counter
import math
from itertools import combinations, permutations, product, accumulate, groupby, chain
from ... | nozomuorita/atcoder-workspace-python | abc/abc247/C/answer.py | answer.py | py | 782 | python | en | code | 0 | github-code | 13 |
31544634834 | #!/usr/bin/env python3
import time, threading, random, logging, os, hashlib, json, queue#, pdb
import glovar
from network import broadMessage
# committee process
class BlockProcessing(threading.Thread):
def __init__(self, cominfo, logdirectory):
threading.Thread.__init__(self)
sel... | louis0121/pos | blockgen.py | blockgen.py | py | 18,630 | python | en | code | 0 | github-code | 13 |
9156811140 | import barcode
from barcode.writer import ImageWriter
text="enter your text here"
text1=str(text)
code=barcode.get_barcode_class("code128")
image=code(text,writer=ImageWriter)
save_img=image.save('my image barcode')
| satkar2001/BarcodeGenerator | test.py | test.py | py | 219 | python | en | code | 1 | github-code | 13 |
71284048659 | from . import constants
import sys
from .charsetprober import CharSetProber
class CharSetGroupProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mActiveNum = 0
self._mProbers = []
self._mBestGuessProber = None
def reset(self):
CharSetProber.r... | arduino/Arduino | arduino-core/src/processing/app/i18n/python/requests/packages/charade/charsetgroupprober.py | charsetgroupprober.py | py | 2,606 | python | en | code | 13,827 | github-code | 13 |
10173133495 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 19 19:22:00 2017
@author: thinktic
"""
fd = open("datos_ficheros","r",encoding="UTF-8")
linea= fd.readline()
print("La longitud de la priemra linea es {}".format(len(linea.rstrip())))
#fd.close() Usamos seek(0) para reiniciar la suma y no hace falta cerrar fd
## Nuemro ... | jmchema/CursoPython | Dia3/Ejercicios/Ejercicio1.py | Ejercicio1.py | py | 1,146 | python | en | code | 0 | github-code | 13 |
71348361618 | """
Created on Thu Aug 20 17:44:07 2020
@author: nrdas
"""
import sounddevice as sd
from pyAudioAnalysis import audioSegmentation as ag
from pyAudioAnalysis import audioBasicIO as aIO
from scipy.io.wavfile import write
duration = 15
fs = 44100
print(sd.query_devices())
print('recording now!')
sample = sd.rec(int(d... | Dashora7/VoiceID | processing.py | processing.py | py | 652 | python | en | code | 0 | github-code | 13 |
71528340499 | #!/usr/bin/env python3
# Run with:
# ./week2_dotplots.py ./sorted_SRVelvet_lastz.out
# ./week2_dotplots.py ./sorted_BCVelvet_lastz.out
# ./week2_dotplots.py ./sorted_SRSpades_lastz.out
# ./week2_dotplots.py ./sorted_BCSpades_lastz.out
# ./week2_dotplots.py ./sorted_LRSpades_lastz.out
"""
Usage: dotplot.py ./sort... | JSYamamoto/qbb2018-answers | lab2/dotplots.py | dotplots.py | py | 1,827 | python | en | code | 0 | github-code | 13 |
29218780221 | from typing import List
from pyteal.ir import TealBlock
from pyteal.errors import TealInternalError
def sortBlocks(start: TealBlock, end: TealBlock) -> List[TealBlock]:
"""Topologically sort the graph which starts with the input TealBlock.
Args:
start: The starting point of the graph to sort.
R... | algorand/pyteal | pyteal/compiler/sort.py | sort.py | py | 1,039 | python | en | code | 269 | github-code | 13 |
7954870719 | """Created: Friday July 20, 2018
Modified: Thursday August 2, 2018
Jorge Luis Flores
Calculates the similarity between each mRNA and a sequence from a given file containing the calculated vectors of mRNA.
Stores in .csv files a matrix where each row corresponds to an mRNA, and each column corresponds to t... | jl-flores/udem-2018-bioinfo | distance-calc/Distance_measuring.py | Distance_measuring.py | py | 12,672 | python | en | code | 0 | github-code | 13 |
35360566510 | import os
import pytest
from typing import Dict
from pathlib import Path
import yaml
import logging
from unittest import mock
# Import dvc
from dvc.core.config import ConfigReader, ConfigDefault
from dvc.core.database import SupportedDatabaseFlavour
import logging
@pytest.fixture(params=(logging.DEBUG, logging.WARN... | kenho811/Python_Database_Version_Control | tests/fixtures/config_service.py | config_service.py | py | 6,001 | python | en | code | 2 | github-code | 13 |
26302021202 | import json
from datetime import datetime
from django.db import models
from django.utils.translation import gettext_lazy as _
from IOTdevices.actions import *
from server.settings import PROJECT_ID, subscriber, publisher
class OperationMode(models.TextChoices):
NORMAL = 'NL', _("Normal")
OVERRIDE = 'OR', _(... | naveennvrgup/smart-traffic-light | maps/models.py | models.py | py | 5,371 | python | en | code | 0 | github-code | 13 |
36038750585 | import math
def is_prime_num(num):
for i in range(2, math.floor(math.sqrt(num)) + 1):
if (num % i == 0 and num != i):
return False
return num > 1
def problem3(num):
largest = num
for i in range(2, math.floor(math.sqrt(num)) + 1):
if (is_prime_num(i) and num % i == 0):
... | karthigb/recreational | challenge/projectEuler/problem3.py | problem3.py | py | 420 | python | en | code | 0 | github-code | 13 |
17248105286 | """flashio URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | patraz/cardsio | flashio/urls.py | urls.py | py | 3,379 | python | en | code | 0 | github-code | 13 |
1652921645 | #要实现还是很简单...然后我就超时了
#关键应该在那个对1337模运算上
class Solution(object):
def superPow(self, a, b):
"""
:type a: int
:type b: List[int]
:rtype: int
"""
B=0
l=len(b)
for i in range(l):
B+=b[i]*10**(l-i-1)
return a**B%1337
#或者这个更... | fire717/Algorithms | LeetCode/python/_372.SuperPow.py | _372.SuperPow.py | py | 2,458 | python | zh | code | 6 | github-code | 13 |
21498375229 | def filter_with_new_bit(array_to_filter, current_bit_index, most_common=True):
nr_ones= sum([int(x[current_bit_index]) for x in array_to_filter]) #Count number of ones at a certain index in array
if nr_ones>=len(array_to_filter)-nr_ones: #1 is more common
result_bit= "1" if most_common else "0"
else:... | shaefeli/AdventOfCode2021 | day03/day3_py_part2.py | day3_py_part2.py | py | 1,270 | python | en | code | 0 | github-code | 13 |
43231756874 | import numpy as np
import pygame as pg
from modules.swarm_path_search import SwarmPathSearch
pg.font.init()
def render(srf: pg.Surface, points: np.ndarray, rsa: SwarmPathSearch):
pid_font = pg.font.SysFont("Ubuntu", 12, True)
maxw = np.max(rsa.weights)
for i in range(points.shape[0]):
for j in... | VY354/my_repository | Python/projects/swarm_intelligence/swarm_path_search/src/modules/swarm_path_search_visualizer.py | swarm_path_search_visualizer.py | py | 769 | python | en | code | 0 | github-code | 13 |
36021905808 | from Letter_frequency_a_and_c import polish_tables_to_import, english_tables_to_import, german_tables_to_import
from math import fabs
def getting_frequencies(table):
sum_of_letters = 0
for value in table.values():
sum_of_letters += value
for k, v in table.items():
if sum_of_... | MatPatCarry/Algorithms_univerity_classes | WDA_List_5/Letter_frequency_c_functions.py | Letter_frequency_c_functions.py | py | 3,209 | python | en | code | 0 | github-code | 13 |
23636995249 | import json, os, random, h5py, tqdm, ast
from collections import Counter
from PIL import Image
import numpy as np
from torch.utils.data import Dataset
import torch
def parse_and_prepare_data(dataset, karpathy_json_path, image_folder, captions_per_image, min_word_freq, output_folder, max_len):
dataset = dataset.low... | numan947/DescribeIt-A-ReImplementation-of-Show-Attend-And-Tell | data.py | data.py | py | 8,467 | python | en | code | 0 | github-code | 13 |
39530376054 | import math
import resource
import socket
from logging import getLogger
import errno
import msgpack
import outcome
import anyio
from async_generator import asynccontextmanager
from .exceptions import SerfClosedError, SerfConnectionError, SerfError
from .result import SerfResult
from .util import ValueEvent, Cancelled... | smurfix/asyncserf | asyncserf/connection.py | connection.py | py | 13,002 | python | en | code | 3 | github-code | 13 |
29821977560 | import subprocess
import os
import socket
import fcntl
import struct
import json
import time
import datetime
import picamera
import picamera.array
import atexit
configFile = '/home/pi/camera.json';
HOST = '192.168.1.99'
# HOST = '192.168.10.2'
PORT = 81
CODE_PING_PONG = 100
CODE_ADD_SCANNER = 1000
CODE_TAKE_THUMB... | amakaroff82/scanner | scanerPI/server.py | server.py | py | 9,792 | python | en | code | 0 | github-code | 13 |
7927061610 | #############
# Camera.py #
#############
# This is the proverbial sausage factory.
# There are lots of things to play with in here
# and I've tried to mark areas of interest
from collections import namedtuple
from math import radians, tan, sqrt
from random import uniform
from time import time
from Utility.Vector impo... | mld2443/PythonRayTracer | Camera.py | Camera.py | py | 5,012 | python | en | code | 0 | github-code | 13 |
12088324723 | # 语句
# 3个物理行，3个逻辑行
# a = 10
# b = 20
# print(a, b)
# a = 10; b = 20 # 不推荐
# print(a, b)
#
# # a = 10
# # b = 20 # 不推荐
# # print(a, b)
#
# # 物理行长 --》换行
# print(1 + 2 + 3 + 4 + 5 + 6 + 7 + 8)
#
# # 显式换行
# # \ 续行符，表示下一行也是上一行未完的语句
# result = 1 + 2 + \
# 3 + 4 + \
# 5 + 6 + \
# 7 + 8
# prin... | 15149295552/Code | Month01/Day02/demo04_statement.py | demo04_statement.py | py | 814 | python | en | code | 1 | github-code | 13 |
33253338869 | import numpy as np
import math
import random
# free parameters in common
J = 1
L = 64
BLOCK = 2
# fun_phi
NUM_SYSTEM = 128 # num of independent systems
STEP = 5 # sampling time divide
nRG = 4 # RG iteration times
# MCRG
NUM_INTERACTION = 8 # 0 for Odd interaction
def Initial():
global L
... | helloworld0909/MCRG_on_Ising_model | source.py | source.py | py | 8,469 | python | en | code | 1 | github-code | 13 |
5776487207 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from PIL import Image, ImageOps, ImageFilter
import os
import shutil
from sklearn.model_selection import train_test_split
#data = pd.read_csv('train.csv', sep=",", header=None)
data = pd.read_csv('test.csv', sep=",", header=None)
#data = pd.read_csv... | jiegenghua/Traffic-Sign-Detection | datapreprocessing.py | datapreprocessing.py | py | 3,102 | python | en | code | 1 | github-code | 13 |
7511257632 | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 26 17:53:38 2015
@author: andy
"""
import gensim
import hansard_fetcher as fetcher
WORDVECS = 'temporary/GoogleNews-vectors-negative300.bin'
def load_wordvecs():
return gensim.models.Doc2Vec.load_word2vec_format(WORDVECS, binary=True)
def get_test_sentences():... | andyljones/hansard_analysis | word2vec_interface.py | word2vec_interface.py | py | 738 | python | en | code | 0 | github-code | 13 |
19702044425 | from homeassistant.components.switch import SwitchEntity, SwitchEntityDescription, SwitchDeviceClass
from homeassistant.helpers.dispatcher import async_dispatcher_connect
from homeassistant.helpers.entity import DeviceInfo
from .. import DOMAIN, SIGNAL_UPDATE_DATA, RedmondKettle, MODE_BOIL, STATUS_ON
class RedmondPo... | Nemiroff/hassio-r4s | custom_components/ready4sky/switches/power_switch.py | power_switch.py | py | 1,447 | python | en | code | null | github-code | 13 |
28462325130 | import random
def get_random_int(min, max):
result = random.randint(min, max)
return result
def game(my_random, min, max, attempts):
if attempts == 0:
print("Вы проиграли! А число было: %d" % my_random)
return
user_in = input("Угадай число от %s до %s. Осталось %s попыток: ... | Sadburritos/python_homework | June06/04.py | 04.py | py | 1,010 | python | ru | code | 0 | github-code | 13 |
33481709115 | import unittest
import datetime
import io
import os
import shutil
import replicate_polymer.replicate_polymer as replicate_polymer
from replicate_polymer_lib.check_connect_pdb import check_conect_pdb
class TestCheckConnectPdb(unittest.TestCase):
# ===============================================================
... | jrdcasa/replicate_polymer_topology | tests/01-test_check_connect_pdb.py | 01-test_check_connect_pdb.py | py | 4,181 | python | en | code | 0 | github-code | 13 |
8865933561 | # -*- encoding: utf-8 -*-
from setuptools import setup, find_packages
from codecs import open
import os
basedir = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(basedir, "README.md"), encoding="utf-8") as readmefile:
long_description = readmefile.read()
setup(
name="cosmopvcod",
versio... | jamesmhbarry/PVRAD | cosmopvcod/setup.py | setup.py | py | 1,039 | python | en | code | 1 | github-code | 13 |
14218506129 | import requests
import streamlit as st
from PIL import Image
from io import BytesIO
import datetime
API_BASE_URL = "https://api.ebird.org/v2"
st.title("Recent Bird Sightings in New Hanover County")
def get_recent_sightings():
today = datetime.date.today()
last_month = today - datetime.timedelta(days=30)
... | weshuth/nhcbirds | main.py | main.py | py | 1,724 | python | en | code | 0 | github-code | 13 |
37996828378 | include.block( "SMEWTrilepSkim/SMTRILEP_PhotonSelector.py" )
from D3PDMakerConfig.D3PDMakerFlags import D3PDMakerFlags
from D2PDMaker.D2PDMakerConf import D2PDPhotonSelector
from AthenaCommon.AlgSequence import AlgSequence
preseq = AlgSequence (D3PDMakerFlags.PreD3PDAlgSeqName())
preseq += D2PDP... | rushioda/PIXELVALID_athena | athena/PhysicsAnalysis/D3PDMaker/PhysicsD3PDMaker/share/SMTRILEP_PhotonSelector.py | SMTRILEP_PhotonSelector.py | py | 722 | python | en | code | 1 | github-code | 13 |
2056803620 | import datetime
from scrapy.http.response.html import HtmlResponse
from climatedb import parse
from climatedb.crawl import create_article_name, find_start_url
from climatedb.models import ArticleItem
from climatedb.spiders.base import BaseSpider
class ChinaDailySpider(BaseSpider):
name = "china_daily"
def ... | ADGEfficiency/climate-news-db | climatedb/spiders/china_daily.py | china_daily.py | py | 1,244 | python | en | code | 12 | github-code | 13 |
3013405280 | from rest_framework import status
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from rest_framework.views import APIView
from base.utils import get_today
from base.messages import Messages
from django. db. models import Sum
from ..models import DailyMenu, MainMenu, Feedbac... | shreeramy/RestaurantAPITask | restrant/api/api_views.py | api_views.py | py | 4,890 | python | en | code | 0 | github-code | 13 |
39389390276 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 1 21:16:00 2020
@author: Emerl2
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import tensorflow as tf
train_path = r'C:\Users\Emerl2\shopee-product-detection-student\train\train\train\\'
test_path = r'C:\Users\Emerl2\shopee-produ... | Emerler/Product-Detection | find-broken-file.py | find-broken-file.py | py | 889 | python | en | code | 0 | github-code | 13 |
16455537139 | import discord
from discord.ext import commands
from discord.ext.commands import Greedy
from typing import Union
TOKEN = "token-here"
bot = commands.Bot(command_prefix='pls',
help_command=None,
activity=discord.Game(name="`pls yoink <emotes>` or `delete <emotes>`"),
... | DoggieLicc/Emote-Yoinker | emoteyoink.py | emoteyoink.py | py | 2,156 | python | en | code | 0 | github-code | 13 |
37785399865 | """Data Structures for Disjoint Sets, Reference - CLRS Page 565"""
# ------------------------- Visual Representation for Linked List implementation on Page 565 CLRS --------------------------
set_dict = {} # Make it global to make the program simpler. Disjoint sets are stored here with key = representat... | anantvir/Graph_DataStructures | Disjoint_Sets_Union_Find.py | Disjoint_Sets_Union_Find.py | py | 2,630 | python | en | code | 0 | github-code | 13 |
35113917718 | import numpy as np
import csv
import cv2
import os
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Flatten, Dense, Lambda, Dropout
from keras.layers.convol... | DirkH78/CarND-Behavioral-Cloning-P3 | model.py | model.py | py | 5,256 | python | en | code | 0 | github-code | 13 |
70858175377 | """
Author: Daniel Krusch
Purpose: To convert product type data to json
Methods: GET, POST
"""
"""View module for handling requests about product categories"""
from django.contrib.auth.models import User
from django.http import HttpResponseServerError
from rest_framework.viewsets import ViewSet
from rest_fram... | thejmdw/swipehome-server | swipehomeapi/views/search.py | search.py | py | 4,882 | python | en | code | 0 | github-code | 13 |
71924192339 | import tensorflow as tf
class Resnet:
"""
Builds a model up to the final convolutional layer
34 layer resnet
number_of_sections = 5
out_width & out_height == image_size*((0.5)**number_of_sections)
returns a conv layer of shape (batch_size, out_width, out_height, 512)
... | colinsteidtmann/object-detection | models/resnet_model.py | resnet_model.py | py | 6,982 | python | en | code | 0 | github-code | 13 |
71945808978 | '''
Ordered dictionaries: they remember the insertion order. So when we iterate over them,
they return values in the order they were inserted.
For normal dictionary, when we test to see whether two dictionaries are equal,
this equality os only based on their K and V.
For ordered dictionary, when we test to see whethe... | AniketKul/learning-python3 | ordereddictionaries.py | ordereddictionaries.py | py | 849 | python | en | code | 0 | github-code | 13 |
26785344165 | from flask import Flask
from flask import request
from flask import jsonify
import os
import tempfile
from speech_to_text import speech_to_text_translated, speech_to_text
from summary_with_openai import summary_with_davinci
from text_to_italian import translate
from text_to_summary import text_to_summary
from video_to... | AndreaCaglio97/video-summarization | app.py | app.py | py | 2,902 | python | en | code | 0 | github-code | 13 |
40131128370 | class Solution:
def defangIPaddr(self, address: str) -> str:
address = list(address)
for i in range(len(address)):
if address[i] == '.':
address[i] = '[.]'
answer = ''
for c in address:
answer += c
return a... | dlwlstks96/codingtest | LeetCode/1108_Defanging an IP Address.py | 1108_Defanging an IP Address.py | py | 326 | python | en | code | 2 | github-code | 13 |
26603260750 | # 可视化神经网络的过滤器
# 想要观察卷积神经网络学到的过滤器
# 显示每个过滤器所响应的视觉模式
from keras.applications import VGG16
from keras import backend as K
import matplotlib.pyplot as plt
import numpy as np
# import tensorflow as tf
#
# tf.compat.v1.disable_eager_execution()
model = VGG16(weights='imagenet',
include_top=False)
model.summ... | linhexiu/Attention | V9.py | V9.py | py | 3,023 | python | en | code | 0 | github-code | 13 |
12261348210 | #!/usr/bin/env python
from gimpfu import *
GRID_COLUMNS = 12
GRID_COLUMN_WIDTH = 80
GRID_WIDTH = GRID_COLUMNS * GRID_COLUMN_WIDTH
def python_grid(image, draw, guide_1, guide_2):
image.undo_group_start();
offset_left = (image.width - GRID_WIDTH) / 2
for i in range (GRID_COLUMNS):
base = offset_left + i * GRI... | wellspring/dotfiles | config/GIMP/2.10/plug-ins/python_grid.py | python_grid.py | py | 872 | python | en | code | 2 | github-code | 13 |
4054637220 | import cgi
import datetime
import urllib
import webapp2
import jinja2
import os
import random
from Data import *
from google.appengine.ext import db
from google.appengine.api import users
jinja_environment = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)))
class Vote(webapp2.Reques... | sujalw/votemash | Vote.py | Vote.py | py | 4,349 | python | en | code | 0 | github-code | 13 |
41831549812 | from ClaseAMPL import SolverWithAMPL
import os
import time
class Control:
def __init__(self):
self.urlCarpetaCodigo = os.getcwd() + "\\codigosAMPL\\"
self.urlCarpetaData = os.getcwd() + "\\datosAMPL\\"
def createArchive(self, filename, listVariables, listPrices, listRestrictions):
# C... | CerberusStar/ProyectoJoeStar | Controladora.py | Controladora.py | py | 3,525 | python | es | code | 1 | github-code | 13 |
27997775772 | import pygame
import random
pygame.display.init()
pygame.font.init()
def menu():
print('menu()')
global run
loop = True
while loop:
global text_score
clock.tick(0)
screen.fill((255, 255, 255))
# render font to image
text_score = font.render('Sco... | zephyrdark/threelaneball | threelaneball.py | threelaneball.py | py | 5,631 | python | en | code | 0 | github-code | 13 |
25901550046 | import os
import shutil
import re
import codecs
import math
import xml.etree.ElementTree
import traceback
from qgis.PyQt.QtCore import QDir, QSize
from qgis.core import (QgsSingleSymbolRenderer,
QgsCategorizedSymbolRenderer,
QgsGraduatedSymbolRenderer,
... | tomchadwin/qgis2web | qgis2web/olStyleScripts.py | olStyleScripts.py | py | 32,071 | python | en | code | 494 | github-code | 13 |
715187830 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 10 14:04:15 2023
@author: fzbri
"""
import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.utils import resample
#from sklearn.model_selection import cross_val_score
from sklearn.model_selection import train_test_split
from ... | bricha-fz/ml_credit_risk_xai | data_processing.py | data_processing.py | py | 5,396 | python | en | code | 0 | github-code | 13 |
40649434695 | import model_q3
from keras.optimizers import Adam
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import ModelCheckpoint
import numpy as np
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from shutil import copyfile
import os
img_width, img_height = 224, 224
valid... | rogeriobonatti/ml_proj | eval3.py | eval3.py | py | 2,036 | python | en | code | 0 | github-code | 13 |
10111527115 | import asyncio
import discord
from discord import Embed, ApplicationContext, Interaction, Colour, MISSING
from discord.ui import View, Button
import czbook
from bot import BaseCog, Bot
from utils.discord import get_or_fetch_message_from_reference, context_info
class InfoCog(BaseCog):
def __init__(self, bot: Bo... | watermelon1024/czbooks-helper | cogs/info.py | info.py | py | 7,543 | python | en | code | 1 | github-code | 13 |
31917686723 | import time
import pygame
# Import constants and game-related functions from other modules
from checkers.constants import WIDTH, HEIGHT, RED, WHITE
from checkers.game import Game
from minimax.algorithm import minimax,alpha_beta,get_all_moves
from winner_gui import display_winner
from difficulty_selection_gui import D... | Yahia-Hasan/Ai-Checkers-Game | main.py | main.py | py | 3,220 | python | en | code | 0 | github-code | 13 |
74021098579 | from django.contrib.auth import login
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from .decorators import *
from .forms import *
from .models import *
# from tablib import Dataset
# Create your views here.
def index_view(request):
if request.method == "P... | douniagh/MyApplication- | projet1/myapplication/app1/views.py | views.py | py | 7,766 | python | en | code | 0 | github-code | 13 |
17934644397 | #https://www.youtube.com/watch?v=clMJ8BwCGa0&ab_channel=Exponent
import math
array = [1,2,3,4,1]
def find_repeated_number(arr:list)->int:
'''
brute force solution to find a repeated number. We know there is only one repeated number
o(n^2)
'''
for i in range(0, len(arr)):
temp = arr[0:i] + a... | antoniojsp/retos | coding_interview/repeated_number_interview.py | repeated_number_interview.py | py | 1,728 | python | en | code | 0 | github-code | 13 |
12574214044 | """add category column to items
Revision ID: 366a6fa49471
Revises: a0a65e21f96f
Create Date: 2022-01-12 12:01:15.398481
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '366a6fa49471'
down_revision = 'a0a65e21f96f'
branch_labels = None
depends_on = None
def up... | justinrusso/loot-locker | migrations/versions/20220112_120115_add_category_column_to_items.py | 20220112_120115_add_category_column_to_items.py | py | 887 | python | en | code | 2 | github-code | 13 |
20293397794 | # -*- coding: utf-8 -*-
import re
from chaoslib.types import Configuration, Secrets
from logzero import logger
from chaosazure.application_gateway.constants import RES_TYPE_SRV_AG
from chaosazure.application_gateway.actions import __network_mgmt_client
from chaosazure.common.resources.graph import fetch_resources
__... | chaostoolkit-incubator/chaostoolkit-azure | chaosazure/application_gateway/probes.py | probes.py | py | 3,590 | python | en | code | 22 | github-code | 13 |
42363839131 | #! /usr/bin/env python
#
from astroquery.admit import ADMIT
if True:
import pickle
a = pickle.load(open('alma.pickle','rb'))
a = ADMIT()
a.query(source_name_alma="NGC3504")
a.check()
if False:
r = a.sql("SELECT * from win")
print(len(r),r)
if False:
q1 = 'SELECT * from spw, sources WHERE sour... | teuben/study7 | check1.py | check1.py | py | 729 | python | en | code | 0 | github-code | 13 |
36520150294 | import torch
import random
from torch import nn, optim
from torch.nn import functional as F
import numpy as np
from copy import deepcopy
from tqdm import trange
import matplotlib.pyplot as plt
class ReplayMemory():
def __init__(self, capacity):
self.capacity = capacity
self.memory = []
se... | joshnroy/TransferLearningThesis | new/dqn.py | dqn.py | py | 7,879 | python | en | code | 0 | github-code | 13 |
73488209617 | # Evaluate the value of an arithmetic expression in Reverse Polish Notation.
# Valid operators are +, -, *, and /. Each operand may be an integer or another expression.
# Note that division between two integers should truncate toward zero.
# It is guaranteed that the given RPN expression is always valid. That means ... | aslamovamir/LeetCode | Evaluate_Reverse_Polish_Notation.py | Evaluate_Reverse_Polish_Notation.py | py | 2,244 | python | en | code | 0 | github-code | 13 |
39025807376 | import random
class SkipList:
"""
Class representing skiplist as created by William Pugh
A skip list is built in layers. The bottom layer is an ordinary ordered
linked list. Each higher layer acts as an "express lane" for the lists below,
where an element in layer i appears in layer i+1 with some... | wiknwo/data_structures_and_algortithms | Data Structures/Linked List/SkipList.py | SkipList.py | py | 12,104 | python | en | code | 0 | github-code | 13 |
73147135377 | import os
import joblib
import numpy as np
import tensorflow as tf
from feature_processing import extract_feature
from cnn_model import get_model
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import OneHotEncoder
from sklearn.model_selection import train_test_split
# TO DO
# Need as comma... | ILuxa15/sound_classification | example_predict.py | example_predict.py | py | 1,938 | python | en | code | 1 | github-code | 13 |
17608780387 | class ListElement:
def __init__(self, value=None, next=None):
self.value = value
self.next = next
def delNode(pos):
global listHead
if pos == 1:
listHead = listHead.next
else:
prev = listHead
for i in range(2, pos):
prev = prev.next
... | ishizukuma/FE_B_sample | Python/Q10.py | Q10.py | py | 1,530 | python | en | code | 3 | github-code | 13 |
7181719100 | #!/usr/bin/python3
#-*- coding:utf8 -*-
'''
页面主体在 <div id="contentmain"> 标签内
标题为 <div id="title">
正文为 <div id="content">
下一页 <a href="54900.htm">下一页</a>
'''
import requests
from bs4 import BeautifulSoup
import re
import os
from multiprocessing import Pool
header = {'Host': 'www.wenku8.net',
'User-Agent': '... | CatAndCoffee/playground | 埃罗芒阿老师小说爬虫/spider_multiprocessing.py | spider_multiprocessing.py | py | 2,449 | python | en | code | 4 | github-code | 13 |
25002939509 | from string import Template
import stories
class aa():
class StoryMemberPostsTopicOnBook(stories.Story):
ID = "MemberPostsTopicOnBook"
TitleTemplate = _('<a href="/Members/$MemberKey">$MemberFullname</a> has posted a new topic under <a href="ParentURL">$ParentTitle</a>')
BodyTemplate = _('''
<strong>The mess... | wrook/wrook | root/feathers/talk_stories.py | talk_stories.py | py | 1,640 | python | en | code | 4 | github-code | 13 |
73053461457 | # dataset settings
dataset_type = 'WordEmbeddingDataset'
train_pipeline = [
dict(type='LoadEmbeddingFromFile'),
dict(type='ToTensor', keys=['emb']),
dict(type='ToTensor', keys=['gt_label']),
dict(type='MyCollect', keys=['emb', 'gt_label'])
]
test_pipeline = [
dict(type='LoadEmbeddingFromFile'),
... | LiUzHiAn/kdxf | configs/datasets/word_emb_dataset_config.py | word_emb_dataset_config.py | py | 1,270 | python | en | code | 0 | github-code | 13 |
34139190948 | import fasttext
import sys
if len(sys.argv) < 2:
print("Data folder is required as an argument")
sys.exit(1)
folder = sys.argv[1]
if folder[-1] != "/":
folder = folder + "/"
# train classifier
model = fasttext.train_supervised(input=folder + "training.txt", lr=0.1, epoch=25, wordNgrams=2)
model.save_model(fo... | jeromechoo/sanctions-tracker | 4_train_model.py | 4_train_model.py | py | 898 | python | en | code | 4 | github-code | 13 |
16463128313 | import numpy as np
import codecs
#计算欧氏距离
def distance(x1,x2):
return np.sqrt(sum(np.power(x1-x2,2)))
#对一个样本找到与该样本距离最近的聚类中心
def nearest(point, cluster_centers):
min_dist = np.inf
m = np.shape(cluster_centers)[0] # 当前已经初始化的聚类中心的个数
for i in range(m):
# 计算point与每个聚类中心之间的距离
d = distance(... | yunyikristy/CM-ACC | kmeanspp.py | kmeanspp.py | py | 2,810 | python | en | code | 19 | github-code | 13 |
36114818405 | import os
import shutil
from docutils import nodes
from docutils.parsers.rst import Directive
from docutils.parsers.rst import directives, Directive
from sphinx.util.docutils import SphinxDirective, SphinxTranslator
def setup(app):
app.add_node(pdfimage,
html=(visit, depart))
app.add_directive... | carnotresearch/cr-vision | docs/extensions/pdfimage.py | pdfimage.py | py | 2,504 | python | en | code | 2 | github-code | 13 |
9087834350 | #https://www.acmicpc.net/problem/15489
#백준 15489번 파스칼 삼각형(DP)
#import sys
#input = sys.stdin.readline
r, c, w = map(int, input().split())
limit = r+w-1
dp = [[0]*limit for _ in range(limit)]
for i in range(limit):
for j in range(i+1):
if j == 0 or j == i :
dp[i][j] = 1
else:
... | MinsangKong/DailyProblem | 07-14/1.py | 1.py | py | 504 | python | en | code | 0 | github-code | 13 |
6808406273 | from __future__ import print_function
import sys, os, re, arcpy, traceback
from arcpy import env
from arcpy.sa import *
from safe_print import Safe_Print
######Created By Brian Mulcahy##########
#Step 5 will create rasters based off the given stream's xs and stream vertices
#If user corrected for backwater and was give... | bmulcahy/WSEL-Python-Tool | WSEL_Step_5.py | WSEL_Step_5.py | py | 10,327 | python | en | code | 1 | github-code | 13 |
29728328005 | """
Some solvers for simple linear systems.
Last updated: 10.2.2019
"""
import numpy as np
import math
import pandas as pd
def gj_method(mat, augment_c):
"""A (procedural?) function for solving a linear system using the Gauss-Jordan method
Contrary to the np.lingalg method arsenal, the input to this function... | trevormcinroe/mathematics | linear_systems.py | linear_systems.py | py | 7,104 | python | en | code | 0 | github-code | 13 |
20533996775 | from __future__ import annotations
from gi.repository import GLib, Gio
import turtlico.utils as utils
from turtlico.locale import _
def compile(input_file: Gio.File, output_file_path: str) -> int:
if input_file is None:
utils.error(_('No input file specified'))
return 1
output_file = Gio.F... | saytamkenorh/turtlico | turtlico/app/cli.py | cli.py | py | 966 | python | en | code | 3 | github-code | 13 |
25306301567 | import CheckProxy, getFreeProxy, setting
import time
class RegularlyCheck(object):
def __init__(self):
self.redis_clien = setting.redis_clien() # redis数据库对象
self.get_proxies = getFreeProxy.GetProxy()
self.check_proxies = CheckProxy.CheckProxy()
def regularlyGetProxy(self):
# 当前数据库中的proxy小于指定要求的proxy数量时, 开... | luzehe/proxy_pool | proxy_pool/ProxyPool-1.0/proxy_pool/main.py | main.py | py | 690 | python | en | code | 1 | github-code | 13 |
74098122579 | import numpy as np
A = np.array([[1,2],[-1,0],[2,1]])
B = np.array([[1,3],[2,1],[-3,-2]])
C = np.array([[2,5],[0,3],[4,2]])
print(2*A - 3*B + 2*C)
A = np.array([[2, -1], [1, 0], [-3, 4]])
B = np.array([[1, -2, 5], [3, 4, 0]])
print(A.dot(B))
print(B.dot(A))
A = np.array([[1,2,3],[4,5,6],[7,8,9]])
B = A.T
print(... | tranduythanh/learn-python | math-software/lab3b.py | lab3b.py | py | 1,084 | python | vi | code | 0 | github-code | 13 |
41897328572 | #Uses python3
import sys
def acyclic(adj):
visited=[]
marked=[0]*len(adj)
label=False
for i in range(len(adj)):
if i not in visited:
marked[i]=1
label=explore(adj,i,visited,marked)
if label:
break
marked[i]=0
if label:
... | Shaun10020/Algorithms-on-Graphs | Graph decomposition 2/CS curriculum/acyclicity.py | acyclicity.py | py | 1,045 | python | en | code | 0 | github-code | 13 |
14121956759 | from pyfda.libs.compat import (QWidget, pyqtSignal, QComboBox, QIcon, QSize,
QPushButton, QHBoxLayout, QVBoxLayout)
import numpy as np
import scipy.signal as sig
from scipy.signal import signaltools
from scipy.special import sinc
import pyfda.filterbroker as fb # importing filterbroker ... | chipmuenk/pyfda | pyfda/filter_widgets/firwin.py | firwin.py | py | 23,890 | python | en | code | 601 | github-code | 13 |
17053241774 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.InsAgreementDTO import InsAgreementDTO
from alipay.aop.api.domain.InsurePlanDTO import InsurePlanDTO
class InsureRecommResultDTO(object):
def __init__(self):
self._ag... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/InsureRecommResultDTO.py | InsureRecommResultDTO.py | py | 10,269 | python | en | code | 241 | github-code | 13 |
14645882675 | from sqlalchemy import Boolean, Column, ForeignKey, Identity, Integer, String, Table
from stripe_openapi.file import File
from . import metadata
IssuingDisputeCanceledEvidenceJson = Table(
"issuing_dispute_canceled_evidencejson",
metadata,
Column(
"additional_documentation",
File,
... | offscale/stripe-sql | stripe_openapi/issuing_dispute_canceled_evidence.py | issuing_dispute_canceled_evidence.py | py | 2,018 | python | en | code | 1 | github-code | 13 |
27308901555 | import functools
import click
from clef.esgf import esgf_query
from clef.helpers import load_vocabularies
def tidy_facet_count(v):
return v[::2]
@functools.lru_cache()
def get_esgf_facets(project):
q = esgf_query(limit=0, project=project, type="Dataset", facets="*")
q = {k: tidy_facet_count(v) for k, v... | coecms/clef | clef/cordex.py | cordex.py | py | 3,147 | python | en | code | 7 | github-code | 13 |
11996856653 | # -*- coding: utf-8 -*-
# DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited.
# This material is based upon work supported under Air Force Contract No. FA8702-15-D-0001.
# Any opinions,findings, conclusions or recommendations expressed in this material are those
# of the author(s) an... | informaticslab/SimAEN | Simaen-Model/src/generate_simaen_config.py | generate_simaen_config.py | py | 2,881 | python | en | code | 2 | github-code | 13 |
27765020829 | import requests
import pandas as pd
import time
app_url = "http://localhost:5000"
auth_route = "/login"
upload_route = "/update/data"
username = "user1"
password = "password123"
print(f"Logging into API now @ {app_url + auth_route}")
# Authenticate and retrieve JWT token
response = requests.post(
app_url + auth... | bbartling/demand-response-research | old/posting_script/posting_script.py | posting_script.py | py | 1,896 | python | en | code | 1 | github-code | 13 |
20386972028 | import numpy as np
import tensorflow as tf
import os
import matplotlib.pyplot as plt
import cv2 as cv
from tensorflow import keras
from skimage.io import imread , imshow
from skimage.transform import resize
from tqdm import tqdm
import random
IMG_WIDTH = 128
IMG_HIGHT = 128
IMG_CHANNEL = 3
TRAIN_PATH = 'stage1_tra... | Onkarsus13/Cell-Detection | uCNN.py | uCNN.py | py | 6,196 | python | en | code | 0 | github-code | 13 |
21680114405 | import os
import requests
import zipfile
import sqlite3
import pandas as pd
import isbnlib
from dotenv import load_dotenv
from datetime import date
load_dotenv()
url = os.getenv("ISBN_URL")
pwd = os.getenv("ISBN_PWD")
def update_data():
"""Downloads product list (zip)"""
# Note: file contains only Kierrätys... | EskoJanatuinen/isbn_search | data_etl.py | data_etl.py | py | 2,832 | python | en | code | 0 | github-code | 13 |
35517240284 | from SLL import *
class length_SLL(SLL) :
'''
This class is inherited from SLL class.
It will be used to add functionality of finding length of the linked list.
'''
def getLength(self) :
'''
Find the length of/ number of nodes in the linked list.
Returns :
cou... | paramSonawane/99Problems | Python/P04.py | P04.py | py | 848 | python | en | code | 0 | github-code | 13 |
34672448476 | #度和热度计算
import pandas as pd
import networkx as nx
date=list(range(201901,201913))
date+=list(range(202001,202013))
for day in date:
data=pd.read_csv("./month/"+str(day)+".csv",low_memory=False)
data=data[(data["org_continent"]=="EU")&(data["dst_continent"]=="EU")]
G=nx.from_pandas_edgelist(data,"origin","d... | hinczhang/Graduate-Thesis | degreeAndHotness.py | degreeAndHotness.py | py | 2,793 | python | en | code | 0 | github-code | 13 |
31405903363 |
from tkinter import filedialog
from PIL import ImageTk, Image
import cv2
import math as m
import numpy as np
import tkinter as tk
import tkinter.ttk as ttk
import os
import sys
root_path = os.path.abspath(os.path.join('..'))
sys.path.append(root_path)
import _init_paths
import numpy as np
import torch
import torch.... | lsc25846/Wildlife-Recognition-System | demo/GUI.py | GUI.py | py | 7,720 | python | en | code | 1 | github-code | 13 |
2723167840 | from django.urls import path
from . import views
# from django.conf import settings
# from django.conf.urls.static import static
# +static(settings.MEDIA_URL, document_root = settings.MEDIA_ROOT)
urlpatterns = [
# path for user
path('usercreate', views.UserCreateAPI.as_view()),
path('useralldata', views.Use... | vidhansharma026/Blog-API | BlogAPI/blog/urls.py | urls.py | py | 1,386 | python | en | code | 0 | github-code | 13 |
13141023941 | #!/usr/bin/env python
"""
LogicRLUtils.py
The general utilities for LogicRL.
"""
__version__ = "0.0.1"
__author__ = "David Qiu"
__email__ = "dq@cs.cmu.edu"
__website__ = "http://www.davidqiu.com/"
__copyright__ = "Copyright (C) 2018, David Qiu. All rights reserved."
import numpy as np
import cv... | LogicRL/MontezumaRevenge | src/utils/LogicRLUtils.py | LogicRLUtils.py | py | 1,473 | python | en | code | 2 | github-code | 13 |
4094002495 | from django import template
from post.models import Post,Comment,Notification
register = template.Library()
@register.inclusion_tag('post/show_notifications.html', takes_context=True)
def show_notifications(context):
request_user = context['request'].user
unseen = Notification.objects.filter(to_user= request... | Dristy03/Programming-Community | account/templatetags/custom_tags.py | custom_tags.py | py | 559 | python | en | code | 0 | github-code | 13 |
16654336100 | from sklearn.linear_model import LinearRegression
import numpy as np
import pandas as pd
import csv
import sys
sc_expression_data = sys.argv[1]
human_tfs = sys.argv[2]
test_data = pd.read_table(sc_expression_data, index_col=0)
tfs = pd.read_table(human_tfs, index_col=0, names='TF')
reg = LinearRegression()
X = test_... | prullens/GRNi_Benchmarking | LinearRegression.py | LinearRegression.py | py | 874 | python | en | code | 0 | github-code | 13 |
1076266449 | # i have to build a faulty calculator which shows the correct result
# for all the operations except some of the operation like
# 45*3=555, 56+9=77,56/6=4
operator = input('enter the operator\n'
'* for multiplication\n'
'+ for addition\n'
'/ for division\n'
... | manishkumarsahgopsaheb/faulty_calculator | main.py | main.py | py | 895 | python | en | code | 0 | github-code | 13 |
326272827 | import pandas as pd
import csv
import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
iris = datasets.load_iris()
boston = datasets.load_boston()
iris_features = iris.data
iris_labels = iris.target
print(iris)
p... | santosh500/Deep-Learning-and-Python-Projects | Python Project 3/Source/Problem2.py | Problem2.py | py | 2,172 | python | en | code | 0 | github-code | 13 |
16466746262 | from django.test import LiveServerTestCase
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import WebDriverException
import time
import unittest
MAX_WAIT = 10
class NewVisitorTest(LiveServerTestCase):
def setUp(self):
self.browser = webdriver.Firefox(... | kathryn-rowe/django_test_the_goat | similar_med_app/functional_tests/tests.py | tests.py | py | 3,750 | python | en | code | 0 | github-code | 13 |
574406497 | from flask import render_template,flash,redirect,url_for,current_app
from app.main.forms import EditProfileForm,PostForm
from app import db
from app.main import bp
from flask_login import current_user,login_required
from app.models import User,Post
from flask import request
from datetime import datetime
from werkzeug.u... | sileyouhe/microblog | app/main/routes.py | routes.py | py | 6,169 | python | en | code | 0 | github-code | 13 |
1969322241 | import json
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pathlib import Path
from alibi_detect.cd import KSDrift
from load_data import get_tables_from_folder, get_tables_from_path
from datatypes import TableInfo, Distribution, TableDistribution
from typing import List, Tuple, Callable
f... | VadyusikhLTD/prjctr-ML-in-Prod | week6/src/univariate_update_frequency.py | univariate_update_frequency.py | py | 6,681 | python | en | code | 0 | github-code | 13 |
29493256875 | # -*- coding: utf-8 -*-
# @Time : 2023/4/5 下午6:40
# @Author : Lingo
# @File : trainer_conica.py
import torch.nn.functional
from torch import nn
from transformers.trainer import *
from transformers.trainer_utils import PredictionOutput
from torch.utils.data import Dataset, DataLoader
from typing import Optional, List, ... | DenglinGo/CONICA | utils/trainer_conica.py | trainer_conica.py | py | 29,247 | python | en | code | 0 | github-code | 13 |
72308557139 |
import cv2 as cv
import numpy as np
#改变一些图像
def access_pixels(image):
print(image.shape)
#获取图片的高宽和通道数
height = image.shape[0]
width = image.shape[1]
channels = image.shape[2]
print("width:%s,height:%s,channels:%s"%(width,height,channels))
for row in range(height):
for ... | huangxinyu1/opencv- | opencv学习/02np数组操作.py | 02np数组操作.py | py | 1,860 | python | en | code | 0 | github-code | 13 |
8080719687 | from __future__ import print_function, division
import datetime
import os
import sys
import torch.nn as nn
import cv2
import numpy as np
from scipy.misc import imread
from utils import CFScore
import torch
from utils import helpers
from torch.autograd import Variable
import torch.nn.functional as F
from torch.nn.modul... | wjx1198/MTSSN-WT | utils/utils.py | utils.py | py | 9,772 | python | en | code | 0 | github-code | 13 |
29877308275 | radius = int(2)
pie = float(3.1459)
diameter = 2 * radius
circumference = 2 * pie * radius
area = pie * (radius**2)
print('Diameter is',diameter)
print ("Circumference is", circumference)
print ('Area is',area)
| susannaholubiyi/Python | diameter.py | diameter.py | py | 220 | python | en | code | 0 | github-code | 13 |
12045836170 |
import matplotlib.pyplot as plt
import numpy as np
# functions to show an image
def imshow(img):
img = img / 2 + 0.5 # unnormalize
plt.imshow(np.transpose(img, (1, 2, 0)))
def plot_dataset_images(train_loader, no_images):
"""
This will plot 'n' (no_images) images for g... | Paurnima-Chavan/cifar-s10 | src/utils.py | utils.py | py | 1,765 | python | en | code | 0 | github-code | 13 |
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