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25505977572 | import six
import tensorflow_hub as hub
import pandas as pd
from functions import get_logger, execute, to_sep_space, get_sim_index, show_sim_faq
from config import LOGDIR, JA_NNLM_MODEL, MUSCLE_QA
def main():
logger = get_logger(LOGDIR)
logger.info('start')
logger.info('load faq data')
qa_df = pd.rea... | trtd56/MuscleQA | src/muscle_qa_nnlm.py | muscle_qa_nnlm.py | py | 1,036 | python | en | code | 0 | github-code | 13 |
12228729380 | # -*- coding:utf-8 -*-
from django.conf.urls import url
from django.contrib import admin
from .views import (
StationListAPIView,
CommunityListAPIView,
SecondWaterListAPIView,
DMAListAPIView,
dmabaseinfo,
getDmaSelect,
)
app_name='devm-api'
urlpatterns = [
# url(r'^user/oranizationtree/$',... | apengok/bsc2000 | dmam/api/urls.py | urls.py | py | 1,157 | python | en | code | 1 | github-code | 13 |
20032171796 | """upvote3 Migration
Revision ID: 528c1a134c57
Revises: 73e42c60678a
Create Date: 2021-04-28 12:39:38.258102
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '528c1a134c57'
down_revision = '73e42c60678a'
branch_labels = None
depends_on = None
def upgrade():
... | kagus-code/Pitch-Piper | migrations/versions/528c1a134c57_upvote3_migration.py | 528c1a134c57_upvote3_migration.py | py | 1,181 | python | en | code | 0 | github-code | 13 |
16773949833 | # dfs__BOJ_21609_상어중학교
# NxN grid
# block : {black(-1), rainbow(0), ordinary(M)}
# === input ===
EDGE, NUM_OF_COLOR = map(int, input().split())
EMPTY = -2
BLACK, RAINBOW = -1, 0
board = [list(map(int, input().split())) for _ in range(EDGE)]
# === algorithm ===
def rotate_counterclockwise(arr: list) -> ... | 1092soobin2/Algorithm-Study | bfs,dfs/(1.5) dfs-stack__BOJ_21609_상어중학교.py | (1.5) dfs-stack__BOJ_21609_상어중학교.py | py | 3,626 | python | en | code | 1 | github-code | 13 |
8658469917 |
VERSION = "Cam_display v0.10"
import sys, time, threading, cv2
import numpy as np
from flirpy.camera.lepton import Lepton
from tifffile import imsave
import helperFunctions.skin_detector
import time
import h5py
from helperFunctions.spo2Functions import face_detect_and_thresh,spartialAverage,MeanRGB,SPooEsitmate,pr... | TheBluePhoenix10/multiparaOS | src/test.py | test.py | py | 12,695 | python | en | code | 0 | github-code | 13 |
27165492465 |
with open('input.txt', 'r') as file:
inp = file.read().strip()
sections = inp.split('\n')
total = 0
total_part2 = 0
for sec in sections:
var1, var2 = sec.split(',')
var1_start, var1_end = map(int, var1.split('-'))
var2_start, var2_end = map(int, var2.split('-'))
if(var1_start... | LaCroix0/Code-of-Advent-2022 | day_4/day_4.py | day_4.py | py | 697 | python | en | code | 0 | github-code | 13 |
31318752744 | """Module 7 - Lab 2
We're going to practice installing, importing and using external python modules while learning out how to scrape web pages.
"""
# Import libraries
import requests
from bs4 import BeautifulSoup
# Scraping the web
# Set up our url as a string
url = "https://wiki.python.org/moin/IntroductoryBooks"
# ... | dtingg/IntroToPython | Module 7/mod7_lab2.py | mod7_lab2.py | py | 1,348 | python | en | code | 0 | github-code | 13 |
19304981596 | # Write a program to accept a number from 1 to 7 and display the name of the day like 1
# for Sunday , 2 for Monday and so on.
dict = {1:"Sunday", 2: "Monday", 3: "Tuesday", 4:"Wednesday", 5:"Thursday", 6:"Friday", 7:"Sturday"}
num = int(input("Input the number of the day you will like to see. Note(between 1-7): "))
... | olaoyeisrael/Input_and_output_in_py | Answer7.py | Answer7.py | py | 437 | python | en | code | 0 | github-code | 13 |
71540701457 | from random import randint
nb1 = randint(0, 100)
nb_input = int(input("Entrez un nombre: "))
while nb_input != nb1:
if nb_input < nb1:
print("trop petit")
else:
print("trop grand")
nb_input = int(input("Entrez un nombre: "))
print(f"Vous avez trouvé le nombre caché était donc bien: {nb1... | Fixer38/University-Notes | semester-1/progra-ex/manip2/ex12-random.py | ex12-random.py | py | 327 | python | fr | code | 0 | github-code | 13 |
71082097937 | import numpy as np
from activation import sigmoid_derivative, sigmoid_function
class MLP:
def __init__(
self,
input_size,
hidden_size,
output_size,
activation,
derivative_activation,
) -> None:
"""
This is a three layer neural network with:
... | wayneotemah/ML-from-scratch | perceptron/multilayerpercepton.py | multilayerpercepton.py | py | 2,788 | python | en | code | 0 | github-code | 13 |
1486440233 | import random
import time
import os
from pprint import pprint
class Pokemon:
def __init__(self, name, hp, attack, defense, speed, attaks) -> None:
self.name = name
self.hp = hp
self.attack = attack
self.defense = defense
self.speed = speed
self.attacks = attaks
... | AdrianVillamayor/Python_First_Try | pokemon_fight.py | pokemon_fight.py | py | 5,959 | python | en | code | 0 | github-code | 13 |
5792350135 | from threading import Thread
from queue import Queue
from message import Message, MessageType
import socket
import select
class Connection:
def __init__(self, _logger, socket, address="unknown", fileroot='/tmp'):
self._logger = _logger
self.socket = socket
self.address = address
# ... | FallingSnow/simplified-ftp | src/simplified_ftp/server.py | server.py | py | 9,440 | python | en | code | 0 | github-code | 13 |
72137408017 | from math import sqrt
from matplotlib import pyplot
import numpy as np
from pandas import read_csv
from sklearn.metrics import mean_squared_error
from sklearn.metrics import mean_absolute_error
from sklearn.metrics import mean_absolute_percentage_error
count=1
count1=1
dataset_name="USDCNY"
for i in range(30):
ori... | xhuph66/GNSNP | compute.py | compute.py | py | 1,749 | python | en | code | 0 | github-code | 13 |
14326520580 | import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.Qt import Qt
from PyQt5.QtWidgets import *
class KeyboardWidget(QDialog):
def __init__(self, parent=None):
super(KeyboardWidget, self).__init__(parent)
self.currentTextBox = None
self.signalMapper = QSignalMapper(s... | eurosa/DigilineSystem-new | virtual_keyboard_qtextedit.py | virtual_keyboard_qtextedit.py | py | 8,578 | python | en | code | 0 | github-code | 13 |
25055574735 | import pandas as pd
from matplotlib import pyplot as plt
import numpy as np
# read the csv file into a dataframe
df = pd.read_csv('rotten_tomatoes_movies.csv', engine='python')
print(df.head())
# fitler out movies wihout a numeric rating
df.dropna(subset=['tomatometer_rating', 'audience_rating', 'actors'], inplace=T... | tinuh/applied-statistics | U2 Data Project.py | U2 Data Project.py | py | 4,267 | python | en | code | 0 | github-code | 13 |
41713625591 | import requests
import json
class sudoku():
def __init__(self, matrix):
matrix[0][0] = 1
def main():
print("Ciao!")
response = requests.get("https://sugoku.herokuapp.com/board?difficulty=easy")
""" sudoku = sudoku(response) """
print(response.status_code)
""" 200 means --> success... | DanieleCoppola/ProgettoSUDOKU | murgo_code.py | murgo_code.py | py | 704 | python | en | code | 0 | github-code | 13 |
15032884806 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import smtplib
import requests
from dotenv import load_dotenv
from flask import Flask, request
from email import message_from_string
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.utils import parseaddr, make_msgid
... | mishushakov/dialogflow-sendgrid | inbox.py | inbox.py | py | 5,624 | python | en | code | 34 | github-code | 13 |
74324875537 | import sevseg
import sys, time
def format_digit(digit_str):
return f'\033[1;34m{digit_str}\033[0m'
def format_separator():
return '\033[1;31m:\033[0m'
try:
while True:
print('\n' * 60)
current_time = time.localtime()
hours = str(current_time.tm_hour % 12)
if hours == '0':
... | KradThed/python_projects | digital_clock.py | digital_clock.py | py | 1,582 | python | en | code | 1 | github-code | 13 |
6234852632 |
from django.http import HttpRequest
# Create your views here.
from common import error
from lib.http import render_json
from lib.sms import send_verify_code, check_verify_code
from user.logic import save_avatar_to_location, save_avatar_to_remote
from user.models import User
from user.models import UserForm
def get... | wei6740714/tantan | user/api.py | api.py | py | 1,873 | python | en | code | 0 | github-code | 13 |
19019123171 | from django.contrib.auth.decorators import login_required
from annoying.decorators import render_to
from forms import ImportForm
from share.decorator import no_share
from import_class import PreviewImport, DatabaseImport, BaseImport
from handle_uploads import save_php, save_upload, get_last
from backupfromphp import... | priestc/flightloggin2 | manage/views.py | views.py | py | 3,259 | python | en | code | 18 | github-code | 13 |
1942747725 | from flask import Flask, request, jsonify
class NetManager:
def __init__(self):
self.app = Flask(__name__)
self.ip = "0.0.0.0"
self.port = 8000
self.setup_routes()
def run(self):
self.app.run(host = self.ip, port = self.port)
def setup_routes(self):
self... | PeiXinHuang/MiniGamePro | Server/NetManager.py | NetManager.py | py | 738 | python | en | code | 0 | github-code | 13 |
70612985937 | class Solution(object):
def reverseVowels(self, s):
"""
:type s: str
:rtype: str
"""
length = len(s)
sCopy = list(s)
data = ['a','e','i','o','u','A','E','I','O','U']
left = []
right = []
for i in range(length//2):
i... | yoonhoohwang/Algorithm | LeetCode/345. Reverse Vowels of a String.py | 345. Reverse Vowels of a String.py | py | 887 | python | en | code | 2 | github-code | 13 |
32465295299 | def binarySearch(nums, target):
start = 0
end = len(nums) - 1
while start <= end:
middle = start + (end-start)//2
if nums[middle] == target:
return middle
elif nums[middle] < target:
start = middle + 1
else:
end = middle - 1
return -1
# Pattern:
# Two pointers. Look at the middle of the array, the... | dbasso98/LeetCode-Grind | python/binary_search.py | binary_search.py | py | 406 | python | en | code | 0 | github-code | 13 |
8965442042 | import routeros_api
import pandas as pd
def connect(host, username, password):
connection = routeros_api.RouterOsApiPool(host,
username=username,
password=password,
port=8740,
... | edopore/api-graphic | api.py | api.py | py | 1,745 | python | en | code | 0 | github-code | 13 |
22248105122 | import speech_recognition as sr
from DataTrain import DataTrain
import pyttsx3
import time
class VoiceRecognisation:
def speech(self, string):
engine = pyttsx3.init()
query = string
r = sr.Recognizer()
with sr.Microphone() as source:
rate = engine.getProperty('rate')... | bornwinner54/HelloQuery | HelloQuery/VoiceRecognisation.py | VoiceRecognisation.py | py | 1,135 | python | en | code | 0 | github-code | 13 |
14551993603 | def p_function(word):
word_len = len(word)
p_values = [0 for _ in range(word_len)]
for i in range(1, word_len):
k = p_values[i - 1]
while k > 0 and word[i] != word[k]:
k = p_values[k - 1]
if word[i] == word[k]:
k += 1
p_values[i] = k
return p_value... | StepDan23/MADE_algorithms | hw_14/c.py | c.py | py | 665 | python | en | code | 0 | github-code | 13 |
71084000979 | courses = {}
while True:
command = input()
if command == 'end':
break
data = command.split(' : ')
course_name = data[0]
student_name = data[1]
if course_name not in courses.keys():
courses[course_name]=[]
courses[course_name].append(student_name)
for course in courses.keys(... | bobsan42/SoftUni-Learning-42 | ProgrammingFunadamentals/a25DictionariesExrecises/courses.py | courses.py | py | 437 | python | en | code | 0 | github-code | 13 |
70838594579 | import os
import logging
import gin
import typing
import cv2
import numpy as np
import pandas as pd
import torch
import matplotlib.pyplot as plt
from soccer_robot_perception.utils.metrics import (
calculate_metrics,
get_confusion_matrix,
calculate_iou,
calculate_det_metrics,
iou_metrics_preprocess,... | DeepanChakravarthiPadmanabhan/Soccer_Robot_Perception | soccer_robot_perception/evaluate/evaluate_model_concatenated_dataset.py | evaluate_model_concatenated_dataset.py | py | 17,452 | python | en | code | 1 | github-code | 13 |
7383216239 | from aws_cdk import (
Duration,
Stack,
aws_s3 as s3,
aws_cloudfront as cloudfront,
aws_cloudfront_origins as origins,
aws_certificatemanager as acm,
aws_route53 as rt53,
aws_route53_targets as targets,
aws_codestarconnections as codestar,
aws_codepipeline as codepipeline,
aws... | cleanslate-technology-group/indyaws-cdk-python-jekyll-blog | infrastructure/infrastructure/infrastructure_stack.py | infrastructure_stack.py | py | 11,422 | python | en | code | 0 | github-code | 13 |
37879076422 | from agentes import othello
import timeit
black=othello.minimax_searcher(3, othello.score)
white=othello.alphabeta_searcher(3, othello.score)
startt = timeit.default_timer()
# black, white = get_players()
board, score = othello.play(black, white)
elapsed = timeit.default_timer() - startt # en segundos
cl = elapse... | Unnamed10110/AI | ia-t2-master/agentes/sub/othello/tests.py | tests.py | py | 429 | python | en | code | 0 | github-code | 13 |
9856577085 | # Задание 5**
# Создайте новый столбец в датафрейме authors_price под названием cover, в нем будут располагаться данные о том,
# какая обложка у данной книги - твердая или мягкая. В этот столбец поместите данные из следующего списка:
# ['твердая', 'мягкая', 'мягкая', 'твердая', 'твердая', 'мягкая', 'мягкая'].
# Просмот... | ZV8/GB-Python-libraries-for-DS | Lesson_2/Working with data in Pandas/5.py | 5.py | py | 2,682 | python | ru | code | 0 | github-code | 13 |
2625060935 | # -*- coding: utf-8 -*-
import pytz
import datetime
import json
from pyramid.view import view_config
from stalker import db, Project, Status, Entity, Invoice, Budget, Client, Payment
from stalker.db.session import DBSession
import transaction
from webob import Response
import stalker_pyramid
import logging
#logger... | eoyilmaz/stalker_pyramid | stalker_pyramid/views/invoice.py | invoice.py | py | 14,596 | python | en | code | 6 | github-code | 13 |
7315471364 |
# 交换a与b
def swap(a,b):
temp=a
a=b
b=temp
return a,b
# +:0, -:1, *:2, /:3
# in:two number
# out:a tuple with result and its operator
def f(a,b):
# 让a>=b
if(a<b):
a,b=swap(a,b)
res=[]
res.append((a*b,'*'))
res.append((a+b,'+'))
res.append((a-b,'-'))
if(b!=0):
... | marcusadrian666/24- | 24.py | 24.py | py | 2,021 | python | zh | code | 1 | github-code | 13 |
20919783216 | #!/usr/bin/python3
import aocd
from icecream import ic
import itertools
import math
import operator
TEST_INPUT = """199
200
208
210
200
207
240
269
260
263
"""
def test():
depths = [int(d) for d in TEST_INPUT.splitlines()]
### PART A ###
depths2 = list(zip(depths, depths[1:]))
increases = len(list(filter(lambda... | colematt/advent-code | 2021/p1.py | p1.py | py | 1,158 | python | en | code | 0 | github-code | 13 |
29712193280 | from django.conf import settings
import types
def log(method, **kwargs):
assert isinstance(method, types.FunctionType) is True or isinstance(
method, types.MethodType), "method == type : function or method"
if settings.DEBUG is True:
comment = ""
for key, value in kwargs.items():
... | yseiren87/jellicleSpace | server/utils/log.py | log.py | py | 586 | python | en | code | 0 | github-code | 13 |
15112705280 | # -*- coding: utf-8 -*-
"""
"""
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import lightgbm as lgb
from sklearn import metrics
# Importing the dataset
dataset = pd.read_csv('C:/Users//Ravi Keerthi//Desktop//Disserattion//Cleaned_KIVA_Data.csv')
datas... | Ravikeerthi2401/Kickstarter_Campaign | k flod.py | k flod.py | py | 2,749 | python | en | code | 0 | github-code | 13 |
1586731608 | import datetime
import threading
from django.core.cache.backends.locmem import LocMemCache
from django.utils import timezone
class LocMemCacheBackend(LocMemCache):
"""LocMemCache Backend"""
def _set_value(
self,
key,
value_class,
value_kwargs=None,
timeout=60 * 60,
... | lee-lou2/lee-lou2 | src/conf/caches.py | caches.py | py | 2,316 | python | ko | code | 1 | github-code | 13 |
13194754109 |
import csv
from numpy.linalg import norm
from scipy import *
import os
from pylab import plot, show, legend,xlim,ylim,savefig,title,xlabel,ylabel,clf, loglog
from Hamil import *
from numpy import tanh,arctanh
def makevar(sx,ex,dx,st,et,dt):
x = arange(sx, ex, dx)
t = arange(st, et, dt)
return x,t
... | jordanpitt3141/collectedworks | postprocessing/makeup/HamiltonainCheck/Energies.py | Energies.py | py | 9,742 | python | en | code | 0 | github-code | 13 |
19933233597 | # 实现 int sqrt(int x) 函数。
# 计算并返回 x 的平方根,其中 x 是非负整数。
# 由于返回类型是整数,结果只保留整数的部分,小数部分将被舍去。
# 示例 1:
# 输入: 4
# 输出: 2
# 示例 2:
# 输入: 8
# 输出: 2
# 说明: 8 的平方根是 2.82842...,由于返回类型是整数,小数部分将被舍去。
### Solution:采用二分法思想,先指数扩张,再二分查找
### 平方根整数解,要满足 result^2 <= x < (result+1)^2
class Solution:
def mySqrt(self, x: int) -> int:
... | Vivhchj/LeeeCode_Notes | 69.x的平方根_easy.py | 69.x的平方根_easy.py | py | 1,234 | python | zh | code | 0 | github-code | 13 |
16641389235 | # ---------------------------------------------------------------+
#
# Albert Negura
# 2-Dimensional Particle Swarm Optimization (PSO) with Python
# February, 2021
#
# ---------------------------------------------------------------+
# --- IMPORT DEPENDENCIES----------------------------------------+
# mathematics ... | AlbertNegura/ParticleSwarmOptimization | particle_swarm_optimization.py | particle_swarm_optimization.py | py | 20,236 | python | en | code | 1 | github-code | 13 |
21774380069 | # -*- coding: utf-8 -*-
"""
XMS Client module
"""
from __future__ import absolute_import, division, print_function
try:
from urllib.parse import quote_plus, urlencode
except ImportError:
from urllib import quote_plus, urlencode
import logging
import requests
import clx.xms.__about__
from clx.xms import des... | clxcommunications/sdk-xms-python | clx/xms/client.py | client.py | py | 24,270 | python | en | code | 3 | github-code | 13 |
44178297742 | from selenium import webdriver
#from selenium.webdriver.common.keys import Keys
#from selenium.webdriver.support import expected_conditions as EC import re
import re
import os
import time
import subprocess
import io
from PIL import Image
import base64
user_history = []
id_history = []
proxy='127.0.0.1:7890'
env = o... | Vermillion-de/spider | src/youtube.py | youtube.py | py | 4,287 | python | en | code | 1 | github-code | 13 |
24601642704 | import random
from locust import HttpUser, task, between
from aueb_api.aueb_api.settings import STRESS_TEST_TOKEN
class AuebApiUser(HttpUser):
""" A user querying the AUEB API. """
wait_time = between(1, 5) # Wait for 1 to 5 seconds
header = {
'Authorization': 'Token {}'.format(STRESS_TEST_TOKEN... | KonstantinosVasilopoulos/aueb_api | stress_test/locustfile.py | locustfile.py | py | 837 | python | en | code | 3 | github-code | 13 |
36331589455 | # -*- coding: utf -*-
# Create your views here.
from django.shortcuts import render_to_response, redirect
from django.template import RequestContext
from osto.models import Barcode
from tilit.models import Account, AccountCode
def maybe_get_price(barcode):
try:
return barcode.product.current_price
exce... | HelsinkiHacklab/limu | limuweb/osto/views.py | views.py | py | 2,412 | python | en | code | 4 | github-code | 13 |
13748428820 | #!/usr/bin/env python3
import socket, struct, time, os, netifaces, netaddr, nmap, pprint, re, subprocess, logging, argparse, resource
from netaddr import *
from portscan import scan_ports
from pwd import getpwnam
import getpass
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
global addr, netmask, cidr, all... | nixgeekk-zz/netscan | netscan.py | netscan.py | py | 7,158 | python | en | code | 0 | github-code | 13 |
36031646192 | from selenium import webdriver
from selenium.webdriver.common.by import By
import time
url='https://www.youtube.com/@fifa/videos'
driver = webdriver.Chrome()
driver.get(url)
videos = driver.find_elements(By.CLASS_NAME,"style-scope ytd-rich-grid-media")
for vid in videos:
title = vid.find_elements(By.XPATH,'//*[@id=... | itsazogdbbk/Internship | Selenium_Python/selenium_scrape.py | selenium_scrape.py | py | 514 | python | en | code | 0 | github-code | 13 |
12543623470 | #from collections import deque
import random
import numpy as np
#from utilities import transpose_list
from collections import namedtuple, deque
import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
BUFFER_SIZE = int(1e6) # replay buffer size
BATCH_SIZE = 1024 # minibatch size
clas... | CristyanGil/Project3-DRL-Udacity | buffer.py | buffer.py | py | 4,309 | python | en | code | 0 | github-code | 13 |
33400538462 | import glob
import os.path
import torch
from torchvision import transforms
from PIL import Image
from torch.utils.data import Dataset
PICTURE_SIZE = 96
LABEL_MAPPING = {
'cat': 0,
'dog': 1,
}
transform = transforms.Compose([
transforms.CenterCrop(PICTURE_SIZE),
transforms.Resize(PICTURE_SIZE),
t... | twolights/pytorch-practice | practices/dogs_and_cats/datasets/preprocess.py | preprocess.py | py | 1,669 | python | en | code | 0 | github-code | 13 |
7236810384 | import cv2
import numpy as np
import warnings
from skimage.feature import peak_local_max
from astropy.io import fits
from astropy.convolution import convolve, Gaussian2DKernel
from astropy.stats import sigma_clipped_stats, gaussian_fwhm_to_sigma
from photutils.background import MedianBackground, Background2D
# from ... | Yash-10/galmask | galmask/galmask.py | galmask.py | py | 6,178 | python | en | code | 6 | github-code | 13 |
12323877451 | import random
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome()
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
"source": """
Object.defineProperty(navigator, 'webdriver', {
get: () => undefined
})
"""
... | lll13508510371/Scrapping | 11 多进程与多线程/01 上课代码/第10次作业讲解/0315-10-00000002-山禾-selenium问卷星.py | 0315-10-00000002-山禾-selenium问卷星.py | py | 1,350 | python | en | code | 0 | github-code | 13 |
72485782738 | from random import randint
def main():
"""Main function to call sub-functions"""
# get and validate initial pencil input
pencils = pencil_valid()
# get and validate player choice
player = player_check()
while pencils > 0:
printer(pencils, player)
if player == "John":
... | jdstrongpdx/JetBrains-last_pencil | Last Pencil/task/game.py | game.py | py | 4,286 | python | en | code | 0 | github-code | 13 |
71110521299 | from pathlib import Path
import pytest
from pycromanager import start_headless
from pycromanager.acq_util import cleanup
from pymmcore_plus import find_micromanager
from pycro_plus_bridge import pycroCorePlus
@pytest.fixture(scope="session")
def core():
mm_app_path = Path(find_micromanager())
start_headless... | ianhi/pycro-plus-bridge | tests/test_pycro_plus_bridge.py | test_pycro_plus_bridge.py | py | 804 | python | en | code | 0 | github-code | 13 |
17043364094 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOfflineProviderEquipmentAuthRemoveModel(object):
def __init__(self):
self._device_id = None
self._device_type = None
self._ext_info = None
self._merchant_pid... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AlipayOfflineProviderEquipmentAuthRemoveModel.py | AlipayOfflineProviderEquipmentAuthRemoveModel.py | py | 3,427 | python | en | code | 241 | github-code | 13 |
36178162426 | from flask import Flask,Response,request,json
from flask_pymongo import MongoClient
import logging as log
from bson.json_util import dumps
app = Flask(__name__)
class MongoAPI:
def __init__(self,data):
log.basicConfig(level=log.DEBUG, format='%(asctime)s %(levelname)s:\n%(message)s\n')
#... | prao02/flask_app | test.py | test.py | py | 2,457 | python | en | code | 0 | github-code | 13 |
10967114087 | import networkx as nx
import matplotlib.pyplot as plt
from homework2.task_defaults import DATA_ROOT, RESULTS_ROOT
class Task3:
prefix = 'task3'
def run(self):
for i in range(1, 4):
graph = self.read_txt(DATA_ROOT / f'sample3.{i}.txt')
fig, ax = plt.subplots(1, 1, figsize=(16,... | Sumrak1337/modern_computer_technologies | homework2/tasks/task3.py | task3.py | py | 2,279 | python | en | code | 0 | github-code | 13 |
9570546696 | from tkinter import *
def find_gcd():
num1 = e1.get()
num2 = e2.get()
e1.delete(0, END)
e2.delete(0, END)
if num1.isdigit() and num2.isdigit():
num1 = int(num1)
num2 = int(num2)
if num2 > num1:
num1, num2 = num2, num1 # swap in python
r = num1 % num2
... | hozan66/College-Practical-Code | Python (Cryptography)/pythonProject(GUI)/GUI3(find GCD using function).py | GUI3(find GCD using function).py | py | 1,294 | python | en | code | 1 | github-code | 13 |
28364344675 | from aws_cdk import (
Aws,
aws_iam as iam,
aws_secretsmanager as secretsmanager,
CfnOutput
)
from constructs import Construct
class IAMSetup(Construct):
def __init__(self, scope: Construct, construct_id: str, props: dict, **kwargs) -> None:
super().__init__(scope, construct_... | velez94/cdkv2_prog_user_deploy | src/constructs/iam_role.py | iam_role.py | py | 4,239 | python | en | code | 1 | github-code | 13 |
71270823697 | import sys
from math import ceil
from collections import defaultdict
from collections import OrderedDict
class Reaction:
def __init__(self, string):
out, inp = self.parse_reaction(string)
self.out_quantity = out[0]
self.out_chemical = out[1]
self.inp_chemicals = {}
for in... | Lammatian/AdventOfCode | 2019/14/sol.py | sol.py | py | 2,847 | python | en | code | 1 | github-code | 13 |
48472110814 | # -*- coding: utf-8 -*-
"""
Created on Sat May 28 12:35:50 2022
@author: Vijaya
"""
import math
import matplotlib.pyplot as plt
import pandas as pd
import pickle
with open ('locus_pos_list.pickle', 'rb') as f:
locus_pos = pickle.load(f)
standardRoom_mic_locs2 = [
[1.5,3.5, 0.9], [5.5,... | vnraomitnala/Device_Handover | plotMicrophoneTransition_basedOn_Distance_locus1_multiple.py | plotMicrophoneTransition_basedOn_Distance_locus1_multiple.py | py | 1,495 | python | en | code | 0 | github-code | 13 |
24257212328 | """
App's entrypoint
"""
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from src.schema.prediction import Prediction
from src.model.model import predict
# App object
app = FastAPI(
title="DASS model deployment",
version=1.0
)
# CORS
app.add_middleware(
CORSMiddleware,
a... | ggonzr/mind-safeguard-api | src/api.py | api.py | py | 594 | python | en | code | 0 | github-code | 13 |
40061024094 | import cv2
import numpy as np
#Delation avalia em cada pixel os pixels brancos na vizinhança. Caso ao menos um seja 1 (brancos) então o pixel
#é transformado para branco. Caso contrário, ele permanece 0 (preto).
image = cv2.imread('j.png', 0)
kernel = np.ones((5, 5), np.uint8)
dilation = cv2.dilate(image, ker... | wshusheng/Python-OpenCV | dilation.py | dilation.py | py | 449 | python | pt | code | 0 | github-code | 13 |
27809793104 | l=[]
num=int(input("ENTER TOTAL NUMBER OF ELEMENT NEEDED : "))
for i in range(0,num):
value=int(input("ENTER NUMBER : "))
l.append(value)
t=tuple(l)
max=t[0]
for i in range(0,len(t)):
if(t[i]>max):
max=t[i]
print("MAXIMUN ELEMENT IS : ",max) | chetanbhatt10/WEEK--DAY5 | a22.py | a22.py | py | 271 | python | en | code | 0 | github-code | 13 |
14523043830 | from typing import List
import pandas as pd
from Warehouse.Attribute import Attribute, ForeignKey, SCDAttribute
class Dimension:
def __init__(self, name, metadata, dimensions, language="POSTGRES"):
self.name = name
self.attributes = []
self.dimensions = dimensions
self.metadata = ... | becutandavid/Generating-SQL-code-for-ETL | Warehouse/Dimension.py | Dimension.py | py | 14,010 | python | en | code | 0 | github-code | 13 |
7179962530 | """
Script used to group each selected object in it's own seperate group
"""
# Standard library imports
# Third party imports
from maya import cmds
# Local application imports
def GroupEachSeperately():
sel = cmds.ls(selection=1)
for object in sel:
cmds.select(object)
cmds.group(name='GR... | CatAndDogSoup/Maya_Tools | scripts/macros_utils/GroupEachSeperately.py | GroupEachSeperately.py | py | 384 | python | en | code | 9 | github-code | 13 |
23795242571 | import os
import os.path as osp
import sys
import torch
import torch.utils.data
import cv2
import numpy as np
import json
from PIL import Image
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from torchvision import transforms
RGBD_HOME = 'C:\\Users\\Admin\\Desktop\\ssdRGBD\\data\\RGBD\\'
dict_scenes... | FabioBer/RGBDexperiments | rgbd.py | rgbd.py | py | 9,777 | python | en | code | 0 | github-code | 13 |
24204878460 | import asyncio
from playwright.async_api import async_playwright
urls = [
"http://whatsmyuseragent.org/",
"https://whatismyipaddress.com/",
"https://mylocation.org/"
]
async def scrape(url):
async with async_playwright() as p:
for browser_type in [p.chromium, p.firefox, p.webkit]:
... | psisysinsight/playwright_sync_python_getting_started | async_example.py | async_example.py | py | 791 | python | en | code | 0 | github-code | 13 |
27364579272 | import os
import pytest
import torch
import torch.distributed as dist
from torch import nn
from torch.nn import functional as F
import slapo
from slapo import set_random_seed
def test_dropout(init_dist):
def verify(model, data, rank, local_rank, world_size, all_close):
out = model(data)
outs = ... | awslabs/slapo | tests/test_fork_rng.py | test_fork_rng.py | py | 1,814 | python | en | code | 120 | github-code | 13 |
1775545396 | # 提示用户输入一个整数
try:
num = int(input("输入一个整数"))
result = 8/num
print(result)
except ZeroDivisionError:
print("除0错误")
except ValueError:
print("数值类型不匹配") | LBJ-Max/basepython | 面向对象/异常2.py | 异常2.py | py | 226 | python | zh | code | 2 | github-code | 13 |
19997328329 | import torch
from torch import nn
import numpy as np
def flatten_trajectories(data):
# merge batch and trajectory dimensions in data dictionary
for key in data.keys():
if torch.is_tensor(data[key]):
if data[key].ndim > 2:
shape = [*data[key].shape]
data[key]... | SAITPublic/SinGRAF | models/model_utils.py | model_utils.py | py | 2,028 | python | en | code | 7 | github-code | 13 |
72564202258 | import cv2
import skimage.exposure
import numpy as np
from numpy.random import default_rng
# define random seed to change the pattern
seedval = 55
rng = default_rng(seed=seedval)
def create_segmentation_map(image):
height, width = image.shape
height -= 10
width -= 10
noise = rng.integers(0, 255, (heig... | AayushAgrawal2003/Deep-Blur | data/utilts.py | utilts.py | py | 1,300 | python | en | code | 0 | github-code | 13 |
74436065618 | import argparse
import builtins
import re
from github import Github
def run(github_file):
print("About to blindly run {url}.\nType yes if you think that's a good idea.\nHint: it's not.".format(
url=github_file.html_url
))
if input().strip().lower() != "yes":
print("Ok, not running it.")
... | jaksi/advent-of-other-peoples-code | advent.py | advent.py | py | 2,040 | python | en | code | 77 | github-code | 13 |
26640162275 | import math
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import mlflow
import seaborn as sns
def save_results(results, fit_times, output_dir, options):
save_csv(results, output_dir, options)
plot_result(results, output_dir, options)
save_time_csv(fit_times, output_dir, options)
... | raijin0704/TrDART | process/postprocess/save_results.py | save_results.py | py | 3,914 | python | en | code | 0 | github-code | 13 |
17427442098 | """
Serialize Binary Tree
Problem Description
Given the root node of a Binary Tree denoted by A. You have to Serialize the given Binary Tree in the described format.
Serialize means encode it into a integer array denoting the Level Order Traversal of the given Binary Tree.
NOTE:
In the array, the NULL/None child is ... | vigneshSr91/MyProjects | Excercise76-SerializeBinaryTree.py | Excercise76-SerializeBinaryTree.py | py | 3,020 | python | en | code | 0 | github-code | 13 |
41136459194 | from platform_app.models import *
from auth_app.models import *
from django.shortcuts import get_object_or_404
from django.utils import timezone
import copy
__all__ = ("TaskService",)
class TaskService:
def info_match_check(self, user_pk: int, user_team: str) -> bool:
query = User.objects.filter(id=user... | basicgrammer/simple-project4 | backend/platform_app/Services/TaskService.py | TaskService.py | py | 7,780 | python | ko | code | 0 | github-code | 13 |
10620997074 |
import numpy as np
import tensorflow as tf
from keras import backend as K
__author__ = 'ignacio'
class WMDDistance(object):
#Implementation of Word Mover's Distance
#Reference
# From Word Embeddings To Document Distances
# http://www.jmlr.org/proceedings/papers/v37/kusnerb15.pdf
def __init_... | lizarraldeignacio/smartweb | isistan/smartweb/algorithm/WMDDistance.py | WMDDistance.py | py | 3,258 | python | en | code | 0 | github-code | 13 |
2580455355 | from django.urls import path
from . import views
from django.contrib.auth import views as auth_views
app_name = "users"
urlpatterns = [
path('register/', views.RegisterView.as_view(), name='RegisterView'),
path('profile/', views.ProfilePageView.as_view(), name='ProfilePageView'),
path('profile-edit/', vie... | AbdurRahman111/basic_ecommerce | users/urls.py | urls.py | py | 576 | python | en | code | 0 | github-code | 13 |
11407937832 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import multiprocessing as mp
import os
import socket
import time
import argparse
from terminable_thread import Thread, threading
from api.server import start_api_server
from config import (docker_configuration, network_configuration,
user_... | OWASP/Python-Honeypot | core/load.py | load.py | py | 30,410 | python | en | code | 383 | github-code | 13 |
25539376617 | # Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def buildTree(self, preorder, inorder):
"""
:type preorder: List[int]
:type inorder: List[int]
:rt... | luppx/leetcode | jianzhioffer/firstround/jianzhi_07.py | jianzhi_07.py | py | 1,378 | python | en | code | 0 | github-code | 13 |
36945460709 | from collections import Counter
def poly(s):
res = ''
dd = dict()
sin = ''
for k, v in Counter(s).most_common():
if v > 1:
dd[k] = v
elif v == 1 and (sin == '' or k < sin):
sin = k
for c in sorted(dd.keys()):
res += c * (dd[c] // 2)
if d... | iaramer/algorithms | python/mipt/mipt_contest/contest/C/problem_c.py | problem_c.py | py | 751 | python | en | code | 0 | github-code | 13 |
73006149138 |
import os
import numpy as np
import glob
from PIL import Image
from jittor.dataset.dataset import Dataset
import jittor.transform as transform
import matplotlib.pyplot as plt
import mxnet as mx
def get_dataset(path, resolution, batch_size):
root_path = os.path.join(path, str(resolution))
return FolderDataset(... | fengshikun/JittorStylegan | dataloader.py | dataloader.py | py | 2,932 | python | en | code | 0 | github-code | 13 |
24111091423 | import math
from django.shortcuts import render
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from rest_framework.decorators import api_view
from django.http import JsonResponse
from binance.client import Client, AsyncClient
from binance.exceptions import BinanceAPIException... | 707Plushka707/TradingClone | python_backend/api/views.py | views.py | py | 16,196 | python | en | code | 0 | github-code | 13 |
8429922224 | import bitcoin.base58
import bitcoin.core
import colorcore.addresses
import unittest
import unittest.mock
class Base58AddressTests(unittest.TestCase):
def setUp(self):
bitcoin.SelectParams('mainnet')
def test_from_string_no_namespace(self):
address = colorcore.addresses.Base58Address.from_s... | martexcoin/colorcore | tests/test_addresses.py | test_addresses.py | py | 2,496 | python | en | code | 2 | github-code | 13 |
16131561693 | from pprint import pp
import graphene
class Gender(graphene.Enum):
MALE = "MALE Person"
FEMALE = "FEMALE Person"
OTHER = "OTHER Type Person"
class Person(graphene.ObjectType):
name = graphene.String()
age = graphene.Int()
gender = graphene.Field(Gender)
class Query(graphene.ObjectType):
... | udhayprakash/PythonMaterial | python3/16_Web_Services/e_GraphQL/creating/a_graphene/b5_Enum_types.py | b5_Enum_types.py | py | 661 | python | en | code | 7 | github-code | 13 |
8829825690 | import pandas as pd
users_info=pd.read_csv("./files/users-info.csv",index_col=0)
users_score=pd.read_csv("./files/users-score-uname.csv",index_col=0)
print(users_info.join(users_score.groupby(['username']).sum(),how='inner',on='username'))
#groupy sum
| Johnson-xie/jtthink_python_math | courseware/pandas/06/课件/class6.py | class6.py | py | 259 | python | en | code | 0 | github-code | 13 |
13614760030 | class Rlist(object):
class EmptyList(object):
def __len__(self):
return 0
empty = EmptyList()
def __init__(self, first, rest=empty):
self.first = first
self.rest = rest
def rlist_to_list(rlist):
"""Take an RLIST and returns a Python list with the same elements.
... | clovery410/mycode | python/chapter-2/lab8-rlist-1.py | lab8-rlist-1.py | py | 856 | python | en | code | 1 | github-code | 13 |
1531145341 | """A set of simple utility functions for array math."""
import numpy as np
import scipy.signal as sps
def reduce_by_midpoint(array):
"""Subtract off and divide by middle array element.
Sorts the array before picking mid-point, but returned
array is not sorted."""
midpoint = sorted(array)[int(np.round... | FaustinCarter/scraps | scraps/fitsS21/utils.py | utils.py | py | 1,806 | python | en | code | 13 | github-code | 13 |
33149687979 | import discord
import praw
from discord.ext import commands, tasks
import random
import requests
import os
from itertools import cycle
filehandle = open("commands.md")
filehandle = filehandle.read()
bot = commands.Bot(command_prefix='$', case_insensitive=True)
reddit = praw.Reddit(client_id=os.environ.get("praw_client_... | MuhammadAlzamily/fpath | discord_bot.py | discord_bot.py | py | 3,549 | python | en | code | 0 | github-code | 13 |
543719080 | import subprocess
performance = ['sudo', 'sh', '-c', 'echo performance > /sys/devices/system/cpu/cpufreq/policy0/scaling_governor']
powersave = ['sudo', 'sh', '-c', 'echo powersave > /sys/devices/system/cpu/cpufreq/policy0/scaling_governor']
subprocess.check_call(performance)
import tensorflow as tf
import tensorflo... | RoboTuan/ML4IOT_HMW | HMW3/little_client.py | little_client.py | py | 7,562 | python | en | code | 0 | github-code | 13 |
17700665509 | from rest_framework import serializers
from .models import Article, TaggedArticle, ArticleTag
from django.contrib.auth.models import User
from taggit_serializer.serializers import TaggitSerializer, TagListSerializerField
from comments.fields import CommentArticleRelatedField
class UserSerializer(serializers.ModelSeri... | oshevelo/jul_py_barbershop | barbershop/blog/serializers.py | serializers.py | py | 1,184 | python | en | code | 0 | github-code | 13 |
71004553297 | import os
import shutil
import torch
import torch.nn as nn
import torch.utils.data as data_utils
from matplotlib import pyplot as plt
from tqdm import tqdm
from transformers import HerbertTokenizer, RobertaModel
from config import Config
from datasets.massive import IntentDataset
from models.intent_classifier import ... | Kacprate/Intent-classification-Polish-language | train.py | train.py | py | 6,189 | python | en | code | 0 | github-code | 13 |
3035417553 | import matplotlib.pyplot as plt
from matplotlib import rc
import numpy as np
# Set the global font and size
rc('font',**{'family':'sans-serif','sans-serif':['DejaVu Sans'],'size':25})
# Set the font used for math
rc('mathtext',**{'default':'regular'})
def stylize_axes(ax, size=25, legend=True, xlabel=None, ylabel=N... | cmoyacal/DAE-PINNs | src/utils/plots.py | plots.py | py | 9,757 | python | en | code | 2 | github-code | 13 |
24186110246 | import os
import matplotlib.image as mpimg
import csv
import numpy as np
import cv2
import matplotlib.pyplot as plt
import math
#cd /home/workspace/CarND-Behavioral-Cloning-P3
samples = []
#process data from csv
data_path = './Drive_Data/'
csv_path_filename = data_path + 'driving_log.csv'
images_path = data_path + '... | JSachdev92/BehaviouralCloning | model.py | model.py | py | 4,878 | python | en | code | 0 | github-code | 13 |
1652840945 | # 开始一直提示AttributeError: 'NoneType' object has no attribute 'left',原来是要先判断节点存在。
# 虽然是自己写的,但是还是有点不理解后面两个if和最后return的关系,根据这个例子看来递归前面不一定要加return,只要递归函数内部有return即可。
# 同时,是先return再运算if里的递归的函数的,很奇怪,先标*吧
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# ... | fire717/Algorithms | LeetCode/python/_226.InvertBinaryTree.py | _226.InvertBinaryTree.py | py | 1,040 | python | zh | code | 6 | github-code | 13 |
35596982649 | import numpy as np
import cp2110
if __name__ == '__main__':
# This will raise an exception if a device is not found.
try:
d = cp2110.CP2110Device(vid=0x10c4, pid=0xea80)
except:
raise IOError("Device not found")
# You can also find a device by path.
#cp2110.CP2110Device(path='/dev... | djorlando24/pyLabDataLogger | tests/test_cp2110.py | test_cp2110.py | py | 2,977 | python | en | code | 11 | github-code | 13 |
73667101459 | from rest_framework.viewsets import ViewSet
from rest_framework.response import Response
from rest_framework.request import Request
from rest_framework import status
from django.template.defaultfilters import slugify
from .models import Campaign, Subscriber
from .serializers import CampaignSerializer, SubscriberSerial... | DevJoshi030/Next-Demo-API | api/views.py | views.py | py | 2,957 | python | en | code | 0 | github-code | 13 |
10396425009 | from flask import Flask, request, render_template
import data_utils
import model_nn
import sqlite3
import argparse
import database as db
app = Flask(__name__)
@app.route("/", methods=["GET"])
def home():
return "This is a default landing page!"
@app.route("/db/userdata", methods=["GET"])
def view_data():
conn... | slinakm/neuro_stress | backend/server.py | server.py | py | 1,480 | python | en | code | 0 | github-code | 13 |
28571097975 | class Person():
def __init__(self, nom, prenom) :
self.nom = nom
self.prenom = prenom
def SePresenter(self):
return "je suis " + self.nom + self.prenom
p=Person("pelagie " , "AINTANGAR")
j=Person("emmanuel ", "AINTANGAR")
e=Person("eliakim ", "AINTANGAR")
print(p.SePresenter())
print(j.S... | PELAGIE-AINTANGAR/runtrack-python-poo | runtrack_poo_jour1/job4.py | job4.py | py | 356 | python | en | code | 0 | github-code | 13 |
12508828312 | #!/usr/bin/env python3
import time
import RPi.GPIO as GPIO
build_in_trigger = \
['rising', 'falling', 'both']
''' func: trigger()
'''
def trigger(channel_list, _name, params):
edge_type = {'rising': GPIO.RISING, 'falling': GPIO.FALLING, 'both': GPIO.BOTH}
for channel in channel_list:
GPIO.a... | lwj786/RPi_GPIO_scheme | build_in_input.py | build_in_input.py | py | 655 | python | en | code | 0 | github-code | 13 |
70864088658 | # -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
Unit tests for elementary surfplot-based visualisations
"""
import pytest
import nibabel as nb
import numpy as np
import pandas as pd
import pyvista as pv
from hyve_examples im... | hypercoil/hyve | tests/test_uniplot.py | test_uniplot.py | py | 6,336 | python | en | code | 0 | github-code | 13 |
10465611815 | def ler_fasta(arquivo):
sequencia = ''
dna = []
with open(arquivo, 'r') as fasta:
sequencia = ''
for linha in fasta:
if not linha.startswith('>'):
sequencia += linha
else:
kd = linha
dna.append(sequen... | luchiago/bioinformatica | kdMer_old.py | kdMer_old.py | py | 1,589 | python | en | code | 1 | github-code | 13 |
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