seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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values | pt stringclasses 78
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16521320986 | import os
import json
import discord
from discord.ext import commands
import asyncio
import time
class ShopCog(commands.Cog):
def __init__(self, bot):
self.bot = bot
# Load money from money.json
with open("money.json", "r") as f:
self.money = json.load(f)
... | frozuu/Python-Discord-bot-w-cogs | cogs/ShopCog.py | ShopCog.py | py | 6,063 | python | en | code | 0 | github-code | 13 |
41993329289 | import argparse
def textToBed(input_text_file, output_bed_file, chromosome_number):
data = open(input_text_file, 'r')
data = data.readlines()
f = open(output_bed_file, "w")
adjust = 1 #adjust for quadron to bed conversion: bed file is zero-based
for i in range(0, len(data)):
crit = data[i].split()
... | kxk302/Quadron_Docker | scripts/quadron_txt2bed.py | quadron_txt2bed.py | py | 988 | python | en | code | 0 | github-code | 13 |
70632726738 | from sklearn.neighbors import KNeighborsClassifier
import lvq_common as lvqc
import numpy as np
e = 1e-12
def gen_prototypes(x, y, num_protos):
protos_x, protos_y = lvqc.get_random_prototypes(x, y, num_protos)
classifier = KNeighborsClassifier(n_neighbors=2)
classifier.fit(protos_x, protos_y)
neighbo... | augustoolucas/IF699-Machine-Learning | lista2/lvq31.py | lvq31.py | py | 1,680 | python | en | code | 0 | github-code | 13 |
74292553937 | # Kutay Cinar
# V00******
# CSC 361: Assingment 3
import sys
import struct
class GlobalHeader:
magic_number = None # uint32
version_minor = None # uint16
version_major = None # uint16
thiszone = None # int32
sigfigs = None # uint32
snaplen = None # uint32
network = None # uint32
... | kutaycinar/CSC-361 | Assignment 3/TraceRouteAnalyzer.py | TraceRouteAnalyzer.py | py | 12,281 | python | en | code | 0 | github-code | 13 |
31878434243 | import subprocess
import re
import pandas as pd
import numpy as np
from path_configure import *
def run_subprocess(command,quiet=False,dry=False):
print("------{}-----".format("RUN"))
print(command)
if dry:
return
process = subprocess.Popen(command.split(), stdout=subprocess.PIPE, stderr=subpr... | chanwkimlab/MHC_Kor_Assoc | basic_tools.py | basic_tools.py | py | 1,977 | python | en | code | 1 | github-code | 13 |
29902532303 | def transformaEmLista(str1): #Transforma uma string em uma lista
lista = []
for x in str1:
lista.append(x)
return lista
def transformaEmString(lista):
str1 = ''
for i in lista:
if(i!=' ' and i!=',' and i!='[' and i!=']' and i!="'"):
i = str(i)
str1 = str1+ i
... | PabloAbreu95/ProcessadorRISC | manip_strings_listas.py | manip_strings_listas.py | py | 1,388 | python | pt | code | 0 | github-code | 13 |
34888165041 | import os
import pickle
import re
# check to see if the file exists, then load the file, else return the empty dictionary
def load():
""" load student information from file"""
info = {}
if os.path.exists("student.txt"):
with open("student.txt", "rb") as input_char:
info = pickle.load(... | aberu78/pythonclass | main.py | main.py | py | 4,299 | python | en | code | 0 | github-code | 13 |
40928153658 | from flask import Flask, request
app = Flask(__name__)
@app.route('/hello', methods=["POST"])
def index():
username= request.form.get('username')
print('username=', username)
# 逻辑判断
msg = {"code": 200, 'msg': 'success'}
return msg
if __name__ == '__main__':
app.run(host='0.0.0.0',
port=... | EpitomM/yolov5 | server_test.py | server_test.py | py | 351 | python | en | code | 0 | github-code | 13 |
26159378660 | #!/usr/bin/python3
def find_duplicate(chars):
for char in chars:
if chars.count(char) > 1:
return True
def find_start(input_string):
a=0
start_char = 0
length = 14
while a < len(input_string):
sub_string = input_string[a:length+a]
print(sub_string)
if fi... | maartenstorm/AdventOfCode | day06/day06b.py | day06b.py | py | 913 | python | en | code | 0 | github-code | 13 |
23713579360 | from django.shortcuts import render,redirect
from .models import Task
from .forms import TaskForm
from django.utils.text import slugify
# Create your views here.
def home(request):
task_form = TaskForm()
tasks = Task.objects.all()
if request.method == "POST":
task_form = TaskForm(data=request.POST)... | HanZawNyine/WebDevelopment2022182 | Project-for-Django-Lessons/todoproject/todo/views.py | views.py | py | 1,348 | python | en | code | 0 | github-code | 13 |
19714942887 |
# ************* function based views*******************
from django.views.decorators.csrf import csrf_exempt
from django.http import HttpResponse
from django.template import loader,RequestContext
from . models import *
from .form import BookForm
from django.shortcuts import render, redirect
from django.contrib import... | ekshams/my_libra | library/views_t.py | views_t.py | py | 2,459 | python | en | code | 0 | github-code | 13 |
35317322076 | #code to show only skin color trial and error
import cv2
import numpy as np
cap=cv2.VideoCapture(0)
while True:
ret,frame=cap.read()
hsv=cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)
low_skin=np.array([0,30,60])
up_skin=np.array([20,150,255])
mask=cv2.inRange(hsv,low_skin,up_skin)
result=cv2.bitwise... | htgdokania/hand_gesture_masking | hand.py | hand.py | py | 613 | python | en | code | 0 | github-code | 13 |
22270259859 | from xml.dom import ValidationErr
import pygame
import settings
import time
import random
pygame.init()
blue = (0,0,255)
black = (0,0,0)
red = (255,0,0)
white = (255,255,255)
dis = pygame.display.set_mode((settings.WIDTH, settings.HEIGHT))
pygame.display.set_caption("Snake Game JRY62")
x1 = sett... | jry62/snake_game | snake.py | snake.py | py | 3,560 | python | en | code | 0 | github-code | 13 |
6979191684 | import csv
from myapp.models import KnowledgeBase # Replace 'myapp' with the name of your Django app
def import_data_from_csv(file_path):
with open(file_path, 'r') as csv_file:
csv_reader = csv.reader(csv_file)
next(csv_reader) # Skip the header row if it exists in your CSV file
... | devdattatemgire/StressAdaptiveReading2 | portfolio/knowledegebase_init.py | knowledegebase_init.py | py | 1,007 | python | en | code | 0 | github-code | 13 |
29287369648 | # --------------
#Importing header files
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
#Code starts here
data = pd.read_csv(path)
data =data[data['Rating'] <=5]
print(data.head())
print(data.shape)
plt.hist(data['Rating'])
#Code ends here
# --------------
# code starts here
total_... | Suchitra-Majumdar/ga-learner-dsmp-repo | High-Rated-Games-on-Google-Playstore/code.py | code.py | py | 3,382 | python | en | code | 0 | github-code | 13 |
35805777753 | # Описати клас "Банківський рахунок", атрибути якого:
#
# - ім'я облікового запису - str
# - унікальний id (uuid)
# - баланс float (чи Decimal)
# - транзакції (список)
# Методи
#
# депозит коштів
# виведення коштів
# отримати баланс
#
#
# При зміні балансу записувати в транзакції (сума,... | KiraGol/hillel_python_basic | homework_9/bank_acc.py | bank_acc.py | py | 2,258 | python | uk | code | 0 | github-code | 13 |
71773490258 | import numpy as np
from matplotlib import pyplot as plt
from tqdm import tqdm
import imageio
import os
import argparse
def make_gif():
args = getArgs()
path = args.input_path
filenames = os.listdir(path)
print(filenames[0:5])
images = []
for filename in tqdm(filenames):
images.append(i... | Kaczmarekrr/2022L-Computer-modeling-of-physical-phenomena | 04-25/make_gif.py | make_gif.py | py | 809 | python | en | code | 0 | github-code | 13 |
46383974104 | from itertools import count
from collections import OrderedDict
from bs4 import BeautifulSoup
import requests
import urllib.request as req
def get_url():
url = "https://search.naver.com/search.naver"
hrd = {'User-Agent' : 'Mozilla/5.0', 'referer' : 'http://naver.com'}
post_dict = OrderedDict()
cnt = 1
query = ... | sieun-Bae/electronic-cars_PJT | final_url.py | final_url.py | py | 1,709 | python | en | code | 0 | github-code | 13 |
14191673482 | import cv2
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
video = cv2.VideoCapture(0)
# address = "https://192.168.1.5:8080/video"
# video.open(address)
while True:
check, frame = video.read()
# frame = cv2.flip(frame ,1)
gray = cv2.cvtColor(frame, cv... | MOHAMMED-NASSER22/PycharmProjects | funStuff/ip wepcam.py | ip wepcam.py | py | 634 | python | en | code | 0 | github-code | 13 |
4825959562 | """
Startup main window
"""
import os
import platform
from distutils.dir_util import copy_tree
import uuid
from Qt import QtCore, QtWidgets, QtGui
from core import definitions
from core import resource
from core import path_maker
import utilsa
logging = utilsa.Logger('armada')
USER, WORKSPACE = ('user', 'workspace... | Knufflebeast/armada-pipeline | packages/startup/gui/login_flow.py | login_flow.py | py | 9,607 | python | en | code | 27 | github-code | 13 |
28350623073 | import heapq
from collections import Counter
class Solution:
def repeatLimitedString(self, s: str, repeatLimit: int) -> str:
ans=""
dic=Counter(s)
size=0
heap=[]
for i in dic:
heapq.heappush(heap,(-ord(i),i))
size+=1
while heap:
if ... | saurabhjain17/leetcode-coding-questions | 2182-construct-string-with-repeat-limit/2182-construct-string-with-repeat-limit.py | 2182-construct-string-with-repeat-limit.py | py | 1,093 | python | en | code | 1 | github-code | 13 |
1943447211 | import hashlib
import json
import os
from time import time
COIN_DIR = os.curdir + '/coins/'
def check_coin(index):
current_index = str(index)
previous_index = str(int(index) - 1)
current_proof = -1
current_hash = 0
previous_hash = 0
temp = {'coin' : '', 'result' : '', 'proof': ''}
try... | dnl2612/coin | coin.py | coin.py | py | 3,240 | python | en | code | 0 | github-code | 13 |
28457502066 | import random
import numpy as np
class QAgent():
def __init__(self, actions, epsilon=0.1, alpha=0.2, gamma=0.9):
self.q = {}
self.epsilon = epsilon
self.alpha = alpha
self.gamma = gamma
self.actions = actions
def getQ(self, state, action):
return self.q.get((st... | TheRealDrDre/CompCogNeuro | Part2_ReinforcementLearning/rl/qagent.py | qagent.py | py | 3,398 | python | en | code | 3 | github-code | 13 |
36297423570 | from flask import render_template, redirect, request, session
from flask_app.config.mysqlconnection import connectToMySQL
from flask_app.models.dojo import Dojo
from flask_app import app
@app.route("/")
def index():
return redirect("/dojos")
@app.route("/dojos")
def dojos():
dojos = Dojo.get_all()
return ... | Matthew-Luk/Python-Bootcamp | Flask_MySQL/CRUD/dojos_and_ninjas/flask_app/controllers/dojos.py | dojos.py | py | 816 | python | en | code | 0 | github-code | 13 |
17051969404 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.PayUserInfoDTO import PayUserInfoDTO
from alipay.aop.api.domain.PayUserInfoDTO import PayUserInfoDTO
class FdsPayFundItemDTO(object):
def __init__(self):
self._amount... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/FdsPayFundItemDTO.py | FdsPayFundItemDTO.py | py | 4,760 | python | en | code | 241 | github-code | 13 |
16982591527 | import PySimpleGUI as sg
import networkx as nx
import matplotlib.pyplot as plt
import kruskal as k
def cria_graf():
sg.theme_background_color('#1C1C1C')
sg.theme_text_color('#FFD700')
sg.theme_button_color(('#273755', '#fad029'))
layout1 = [
[sg.Text('Árvore Geradora Mínima', background_color=... | roberio3620/arvore-geradora-minima | main.py | main.py | py | 2,832 | python | en | code | 0 | github-code | 13 |
4697178607 | import pyautogui
from src import movearrow
import time
import clipboard
def VerifyStatus():
global itemID
global status
if pyautogui.locateOnScreen(image=".\images\pausadostatus.png"):
status = True
movearrow.MoveArrow(times=18, side="left")
img = pyautogui.locateCenterOnScreen(imag... | carlynxd/automaticbacklog | src/verifystatus.py | verifystatus.py | py | 835 | python | en | code | 0 | github-code | 13 |
17174829686 | import argparse
import pandas as pd
def parse_args():
parser=argparse.ArgumentParser(description="use gencode annotation to get gene coordinates; add flanks of specified length with a stride of specific size")
parser.add_argument("-gene_list")
parser.add_argument("-gencode_gtf",default="/mnt/data/annotatio... | ENCODE-AWG/locusselect_applications | expression/get_expression_for_gene_list_ENCODE.py | get_expression_for_gene_list_ENCODE.py | py | 1,839 | python | en | code | 0 | github-code | 13 |
16393535327 | import boto
import boto.s3.connection
import os
import secret
access_key = secret.access_key
secret_key = secret.secret_key
conn = boto.connect_s3(
aws_access_key_id=access_key,
aws_secret_access_key=secret_key,
host=secret.host,
port=secret.port,
is_secure=False, # uncomment if you are not using... | MinistrBob/MyPythonTools | S3/s3get.py | s3get.py | py | 717 | python | en | code | 0 | github-code | 13 |
3725389290 | """Tools for running experiments with Garage."""
import base64
import collections
import datetime
import enum
import functools
import gc
import inspect
import json
import os
import os.path as osp
import pathlib
import pickle
import re
import subprocess
import warnings
import cloudpickle
import dateutil.tz
import dowel... | jaekyeom/IBOL | garaged/src/garage/experiment/experiment.py | experiment.py | py | 30,422 | python | en | code | 28 | github-code | 13 |
20839368163 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^update/stock_info$', views.update_stock_info, name='update_stock_info'),
url(r'^update/history$', views.update_history, name='update_history'),
url(r'^update/tick_data$', views.update_tick_data, name='update_tick_data'),
url(r... | flychensc/orange | storage/urls.py | urls.py | py | 471 | python | en | code | 1 | github-code | 13 |
1693497793 | __author__ = 'kwheelerj'
# Show how to implement a queue using two stacks. Analyze the running time of the queue operations.
class Queue:
def __init__(self, length):
self.length = length
self.enqueue_stack = Stack(length)
self.dequeue_stack = Stack(length)
def enqueue(self, value):
self.transfer_to_enqu... | kwheelerj/IntroToAlgorithms | Chapter10_ElementaryDataStructures/section_1/Exc_10.1-6.py | Exc_10.1-6.py | py | 2,243 | python | en | code | 0 | github-code | 13 |
71201508817 | from django.contrib.auth.models import Permission
from django.test import TestCase, Client
from django.urls import reverse
from accounts.models import Account
from .models import Lesson
class LessonTestCase(TestCase):
def setUp(self):
perm = Permission.objects.get(name='Can see hidden lesson')
... | bugulin/gymgeek-web | lessons/tests.py | tests.py | py | 1,706 | python | en | code | 0 | github-code | 13 |
35951180326 | from python import *
from python.cellfft import *
import sys, os, shutil
import subprocess
OUT_DIR='out'
CPP_DIR=os.path.join('test', 'twiddle')
ARCH="gfx908"
def run_cmd(cmd):
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr = subprocess.STDOUT)
try:
(out, _) = p.communicate()
if p.re... | ROCmSoftwarePlatform/MISA | test/twiddle/twiddle_test.py | twiddle_test.py | py | 6,689 | python | en | code | 29 | github-code | 13 |
37984860572 | #!/usr/bin/env python3
from threading import Condition
import time
from dr_hardware_tests.flight_predicate import is_offboard_mode
from dr_hardware_tests.flight_helpers import enter_offboard_mode
import rospy
from dr_hardware_tests import Drone, SensorSynchronizer, SensorData, flight_helpers, sleep
from dr_hardware_te... | DroneResponse/hardware-tests | nodes/arm.py | arm.py | py | 1,918 | python | en | code | 0 | github-code | 13 |
38089302508 | from drawer_v1 import Drawer
from vec_v1 import Vec, Vec3
from line_v1 import Line, vec_prod
from utils import read_points, prepare_points, add_prepare_args, init_tk_drawer
import argparse
import math
DESCRIPTION = '''
Program to draw wurfs for contours
'''
def parse_args():
parser = argparse.ArgumentParser(
... | savfod/contours_correspondence | code/draw_wurfs.py | draw_wurfs.py | py | 21,982 | python | en | code | 0 | github-code | 13 |
21786353070 | from volux import VoluxDemo
class DemoAudio(VoluxDemo):
def __init__(self, *args, **kwargs):
super().__init__(
demo_name="Demo Audio",
demo_method=self.run_demo,
alias="audio",
requirements=["voluxaudio"],
*args,
**kwargs
)
... | DrTexx/Volux | volux/demos/audio.py | audio.py | py | 1,077 | python | en | code | 7 | github-code | 13 |
26790084131 | class Solution:
def jump(self, nums: List[int]) -> int:
n = len(nums)
dp = [-1] * len(nums)
dp[n-1] = 0
for i in range(n-1,-1,-1):
reachables = [i + j for j in range(1,nums[i]+1) if i + j < n]
if len(reachables) == 0:
continue
... | forestphilosophy/LeetCode_solutions | Interview Questions/jump_game_ii.py | jump_game_ii.py | py | 455 | python | en | code | 0 | github-code | 13 |
34512084211 | import sys
import sqlite3
from sqlite3 import Error
class Database:
def create_connection(db_file):
""" create a database connection to a SQLite database """
try:
conn = sqlite3.connect(db_file)
return conn
except Error as e:
print(e)
return None... | ohnoanarrow/Senior_Thesis | src/analysis/top_cards_db.py | top_cards_db.py | py | 1,443 | python | en | code | 1 | github-code | 13 |
72337482257 |
"""
"""
# Native
import os
import time
# 3rd-Party
from flask import Flask, request, jsonify, send_from_directory
# Proprietary
app = Flask(__name__)
UPLOAD_DIRECTORY = '/files'
if not os.path.exists(UPLOAD_DIRECTORY):
os.makedirs(UPLOAD_DIRECTORY)
@app.route('/')
def hello():
"""
"""
retu... | m3talstorm/flask-http-store | FHS-API/app/app.py | app.py | py | 1,355 | python | en | code | 1 | github-code | 13 |
18711583543 |
from collections import defaultdict
# class collections.defaultdict([default_factory[, ...]])
# 返回一个新的类似字典的对象。 defaultdict 是内置 dict 类的子类。
# 它重载了一个方法并添加了一个可写的实例变量。其余的功能与 dict 类相同，此处不再重复说明。
# 本对象包含一个名为 default_factory 的属性，构造时，第一个参数用于为该属性提供初始值，默认为 None。
# 所有其他参数（包括关键字参数）都相当于传递给 dict 的构造函数。
# __missing__(key)
# 如果 d... | russellgao/algorithm | ProgrammingLanuage/python/collecttions/collections_defaultdict.py | collections_defaultdict.py | py | 2,458 | python | zh | code | 3 | github-code | 13 |
35543126242 | #!/usr/bin/python
from helper import *
from config import *
display_header()
ticket = ''
def handle_claims_gathering_response():
global ticket
if is_ticket_in_url():
arguments = cgi.FieldStorage()
ticket = arguments['ticket'].value
# Here is my PCT token!
# Client attempts t... | aleclaws/gg-demo-fpx | index.py | index.py | py | 1,401 | python | en | code | 0 | github-code | 13 |
44464473391 | import tensorflow as tf
import time
import numpy as np
from reader import *
import os
import warnings
import metric
try:
import neptune
except ImportError:
warnings.warn('neptune module is not installed (used for logging)', ImportWarning)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
def get_angles(pos, i, d_mo... | pixelneo/dialogue-transformer-e2e | implementation/tf/transformer.py | transformer.py | py | 29,573 | python | en | code | 5 | github-code | 13 |
10273618549 | from protocolo import *
MAX_SEQ = 7 # Define una constante para el número máximo de secuencia.
# Función que determina si un número se encuentra en un rango circular.
def between(a, b, c):
# Los números son tratados como si estuvieran en un círculo, y esta función determina si b está entre a y c en ese círculo.
... | johanec/Proyecto1-Redes | backend/go_back_n.py | go_back_n.py | py | 3,999 | python | es | code | 0 | github-code | 13 |
16276353444 | import json
import numpy as np
from utils import *
def prepare_data():
vec = DictVectorizer()
data = pd.read_csv('蘑菇分类数据集.csv')
data_array = np.hstack([data['class'].values.reshape(-1, 1),
vec.fit_transform(data.drop(['class', 'odor', 'stalk-color-below-ring'], axis=1).to_dic... | MosRat/BnuMcLab | MCExp5/dataset.py | dataset.py | py | 4,215 | python | en | code | 1 | github-code | 13 |
8208917014 | """CP1404 Practical 2 - Files"""
# 1. Write code that asks the user for their name, then opens a file called "name.txt" and writes that name to it.
name = input("What is your name: ")
out_file = open('name.txt', 'w')
print(name, file=out_file)
out_file.close()
# 2. Write code that opens "name.txt" and reads the name ... | McTenshi/cp1404practicals | prac_02/files.py | files.py | py | 1,153 | python | en | code | 0 | github-code | 13 |
30583928238 | # -*- coding: utf-8 -*-
from ge.bpmc import MAX_BUSINESS_TASK_RETRIES, business
from ge.bpmc.app.injection import Contexts, Core, Factories, Services
from ge.bpmc.utilities.sqlalchemy import transaction
app = Factories.celery_factory()
@transaction(Core.logger, Contexts.em)
def wrapped_match_procedure_images(proced... | dbenlopers/SANDBOX | misc/bpm_cloud/ge.bpmc/ge/bpmc/tasks/matching.py | matching.py | py | 1,156 | python | en | code | 0 | github-code | 13 |
42747451874 | #%%
#
# Project 1, starter code part b
#
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import math
import pandas as pd
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
def ffn(x, feature_size, neuron_size, weight_decay_beta, layers=3, dropout=False):
"""Feedforward net ... | eddylim95/CZ4042_NeuralNet_project | Assignment_1/start_project_1b.py | start_project_1b.py | py | 12,200 | python | en | code | 1 | github-code | 13 |
26781712662 | """
:Module: shopify_crawler.py
:Author:
Peter Hyl
:Description: This module contains web crawler and other necessary function which
from input csv file load shopify urls to crawl. Collecting emails,
facebook, twitter and first N products, then save this data to
... | peterhyl/codes | Python/shopify_crawler.py | shopify_crawler.py | py | 9,845 | python | en | code | 0 | github-code | 13 |
31006637522 | import numpy as np
import argparse
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-v", "--video", help="path to the video file")
ap.add_argument("-a", "--min-area", type=int, default=500, help="minimum area size")
args = vars(ap.parse_args())
cap = cv2.VideoCapture(args["video"])
#while(cap.isOpened()):
... | eric-macdonald/opencv | play_video.py | play_video.py | py | 781 | python | en | code | 2 | github-code | 13 |
71257258899 | import openpyxl
# Buka file Excel
workbook = openpyxl.load_workbook("file.xlsx")
# Dapatkan sheet pertama
sheet = workbook.worksheets[0]
# Cetak nama kolom
for column in sheet.columns:
print(column[0].value)
# Cetak data dari baris pertama
for row in sheet.rows:
for cell in row:
print(cell.value, en... | ugunNet21/learn-python | advanced/readexcel.py | readexcel.py | py | 340 | python | en | code | 1 | github-code | 13 |
37952889918 | ###############################################################
#
# Job options file to read charge interpolation constants from
# text file and output a new pool file and sqlite file
#
#==============================================================
if 'WRITEDB' in dir() and WRITEDB:
dowrite=TRUE
doread=FALSE
co... | rushioda/PIXELVALID_athena | athena/InnerDetector/InDetConditions/PixelConditionsTools/share/PixelOfflineCalibDbInteraction.py | PixelOfflineCalibDbInteraction.py | py | 3,475 | python | en | code | 1 | github-code | 13 |
10328771617 | def is_palindromic(number: int) -> bool:
number_as_list = list(str(number))
reversed_number_list = number_as_list[::-1]
reversed_number_str = ''.join(reversed_number_list)
reversed_number = int(reversed_number_str)
if reversed_number == number:
return True
return False
def solution(num... | Irench1k/ProjectEuler | problems/problem4/p4.py | p4.py | py | 872 | python | en | code | 0 | github-code | 13 |
26473998288 | from optimization.src.TSPOptimizerStrategy import TSPOptimizerStrategy
class TSPOptimizerClosestCityStrategy(TSPOptimizerStrategy):
def __init__(self, origin_city, cities):
TSPOptimizerStrategy.__init__(self, origin_city, cities)
self.visited_cities = {}
for city in self.cities:
... | marianoo-andres/EasyTripServer | optimization/src/TSPOptimizerClosestCityStrategy.py | TSPOptimizerClosestCityStrategy.py | py | 1,378 | python | en | code | 0 | github-code | 13 |
22478702775 | '''
1. 从wiki_crop里面按一些条件筛选图片
2. 将人脸部分裁剪出来
3. 文件名包含性别和年龄
4. 放入images-<dataset-size>文件夹
'''
import scipy.io as sio
import cv2
import os
face_cascade = cv2.CascadeClassifier('H:/venvs/pytorch-cpu/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')
root = "./wiki_crop/"
path = "wiki.mat"
data = sio.loadmat(... | NICE-FUTURE/predict-gender-and-age-from-camera | data/process_wiki_data.py | process_wiki_data.py | py | 2,650 | python | en | code | 33 | github-code | 13 |
2867260268 | import os
import numpy as np
import torch
import pdb
import cleaner
import load_args
import utils
# Parse the commandline arguments
args = load_args.load_args()
# Create the config dictionary
cfg = utils.load_config(args)
# Get the class IDs for the novel set of classes
novel_class_ids = utils.get_novel_class_ids... | google-research/noisy-fewshot-learning | run.py | run.py | py | 1,981 | python | en | code | 23 | github-code | 13 |
29604103889 | import socket
from time import sleep, time
HOST = '127.0.0.1'
PORT = 50007
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((HOST, PORT))
s.listen(1)
conn, addr = s.accept()
print('working')
def listen(): # produces encoder values for the wheels. returns right wheel value, left wheel value.
... | shimonfiddler/1420 | encodedbotmover.py | encodedbotmover.py | py | 1,430 | python | en | code | 0 | github-code | 13 |
31075988506 | import numpy as np
from utils import wrapToPi
def ctrl_pose(x,y,th,x_g,y_g,th_g):
# (x,y,th): current state
# (x_g,y_g,th_g): desired final state
# Code pose controller
k = np.array([0.5, 0.5, 1.2]) # (k1,k2,k3) > 0
# Incremental change in state
dx = x_g - x
dy = y_g - y
# Convert to... | anqif/AA274_HW1 | P3_pose_stabilization.py | P3_pose_stabilization.py | py | 742 | python | en | code | 1 | github-code | 13 |
24384537992 | import matplotlib.pyplot as plt
import sys
# import numpy as np
# plt.rcParams['font.sas-serig']=['SimHei'] #用来正常显示中文标签
# plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
# data=np.loadtxt('loss.txt',delimiter='\t')
# print(data)
# x = [row[0] for row in data]
# y = [row[3] for row in data]
# z = [row[4] for row in ... | Linzmin1927/darknet_chs | python/loss_display.py | loss_display.py | py | 983 | python | en | code | 2 | github-code | 13 |
32456364693 | """Utils for tracking graph homophily and heterophily"""
# pylint: disable=W0611
from . import function as fn, to_bidirected
try:
import torch
except ImportError:
HAS_TORCH = False
else:
HAS_TORCH = True
__all__ = [
"node_homophily",
"edge_homophily",
"linkx_homophily",
"adjusted_homophily... | keli-wen/dgl | python/dgl/homophily.py | homophily.py | py | 8,309 | python | en | code | null | github-code | 13 |
34337338932 | class Universal:
data_type = 'Universal'
data_types = set()
data_keys = []
instances = {}
def __init__(self, datas=None):
self.__datas = datas
def __repr__(self):
return f'{self.__datas}'
def get_data(self, key):
return self.__datas[key]
def set... | JJeKJJeKeee/Python_study | Universal_v1.py | Universal_v1.py | py | 2,122 | python | en | code | 0 | github-code | 13 |
72304573139 | from entry_task.models import User, EventInfo, Event, EventLike, EventParticipation, EventComment, Image
from entry_task.helpers import event_helpers
from entry_task.exceptions import InsertError,NotFoundError
def get_event(event_id):
try:
event_info = EventInfo.objects.get(event_id=event_id)
part... | hvloc15/Entry-Task | EntryTask/entry_task/services/event_services.py | event_services.py | py | 1,687 | python | en | code | 0 | github-code | 13 |
37948249668 | from AthenaCommon import Logging
from .non_blocking_stream_reader import NonBlockingStreamReader
import subprocess
## Get handle to Athena logging
logger = Logging.logging.getLogger("PowhegControl")
class ProcessManager(object):
"""! Wrapper to handle multiple Powheg subprocesses.
@author James Robinson <j... | rushioda/PIXELVALID_athena | athena/Generators/PowhegControl/python/utility/process_handling.py | process_handling.py | py | 5,409 | python | en | code | 1 | github-code | 13 |
2355049493 | '''
This module contains all of the !commands that the users
can call upon for execution.
'''
from functions import chat as _chat
from functions import queryAPI as _queryAPI
from functions import getXMLAttributes as _getXMLAttributes
from functions import isOp as _isOp
from functions import printv as _printv
from func... | matty-jones/blaskbot | commands.py | commands.py | py | 29,017 | python | en | code | 3 | github-code | 13 |
14914759023 | import numpy as np
import multiprocessing as mp
import time, os
import numpy.linalg as LA
import subprocess as sp
from random import random
import Model_Miller_3 as model
def getGlobalParams():
global dtE, dtI, NSteps, NTraj, NStates, M, windowtype
global adjustedgamma, NCPUS, initstate, dirName, NSkip
d... | bradenmweight/QuantumDynamicsMethodsSuite | MQC/SQC.py | SQC.py | py | 7,401 | python | en | code | 2 | github-code | 13 |
71347649618 | from django.shortcuts import render, get_object_or_404
from django.contrib.auth.decorators import login_required
from .models import Products, Distributor
@login_required
def index(request):
products = Products.objects.all()
template = 'products/index.html'
context = {
'products': products,
}
return render(req... | diego-lucas/system-d | system/products/views.py | views.py | py | 748 | python | en | code | 0 | github-code | 13 |
70102289939 | import tkinter as tk
# if you are still working under a Python 2 version,
# comment out the previous line and uncomment the following line
# import Tkinter as tk
# root = tk.Tk()
#
# w = tk.Label(root, text="Hello Tkinter!")
# w.pack()
#
# root.mainloop()
root = tk.Tk()
logo = tk.PhotoImage(file="logo64.gif")
w1 = ... | cyoukaikai/ahc_ete | smrc/utils/test/test_tk.py | test_tk.py | py | 669 | python | en | code | 2 | github-code | 13 |
72349882258 | import logging
import threading
from articleRec import handler as articleRecHandler
from topicModeling import handler as topicModelingHandler
from mdsModel.handler import *
from datetime import datetime
from idl import *
from userPreferences import handler as upHandler
from topicFeed import handler as topicFeedHandler
... | aiswaryasankar/dbrief | homeFeed/handler.py | handler.py | py | 5,798 | python | en | code | 1 | github-code | 13 |
20999094983 | from sklearn.decomposition import PCA
from scipy.cluster.vq import kmeans2
import numpy as np
def calculate_pca(embeddings, dim=16):
print("Calculating PCA")
pca = PCA(n_components=dim)
pca_embeddings = pca.fit_transform(embeddings.squeeze())
print("PCA calculating done!")
return pca_embeddings
... | cobanov/image-clustering | clustering.py | clustering.py | py | 547 | python | en | code | 8 | github-code | 13 |
9838513736 | import argparse
import numpy as np
import matplotlib.pyplot as plt
import gym
import time
from environments.swingup import CartPoleSwingUp
from environments.pongwrapper import PongWrapper
plt.style.use("dark_background")
def demo_cartpole():
cartpole = gym.make('CartPole-v1')
cartpole.reset()
cartpole... | amtoine/dqn | src/demo.py | demo.py | py | 1,809 | python | en | code | 0 | github-code | 13 |
1397428241 | #Libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import tkinter as tk
import sys
import time
import os
from PIL import Image, ImageOps
from collections import defaultdict
#Set File
file = sys.argv[1]
with open(file) as myfile:
head = [next(myfile) for x in range(5)]
if (head[0][0:... | RiceAllDay22/Hele-Shaw-Model | MainHeleCode.py | MainHeleCode.py | py | 4,683 | python | en | code | 0 | github-code | 13 |
5411171947 | import os
import numpy as np
from pylab import mpl
import matplotlib.pyplot as plt
import coordinate_transformation as ct
ref = []
data_allday = [[], [], [], [], [], [],
[], [], [], [], [], []]
x = []
y = []
z = []
X = []
Y = []
Z = []
result_XYZ = [[], [], []]
result_ENU = [[], [], []]
plot_ENU = [... | FLAGLEE/My_Python_Code | two_hour_solution.py | two_hour_solution.py | py | 3,495 | python | en | code | 0 | github-code | 13 |
31048041906 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import asyncio
import os
import pickle
from pprint import pprint
import structlog
import aiohttp
import arrow
import ujson
class Verisure:
log = structlog.get_logger(__name__)
def __init__(self, mfa: bool, username, password, cookieFileName='~/.verisure_mfa_c... | Soleg06/Verisure_API | verisureGrafqlAPI_async.py | verisureGrafqlAPI_async.py | py | 39,369 | python | en | code | 1 | github-code | 13 |
3721332770 | '''
Given the root of a binary tree, imagine yourself standing on the right side of it,
return the values of the nodes you can see ordered from top to bottom.
'''
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left... | JaeEon-Ryu/Coding_test | LeetCode/0199_ Binary Tree Right Side View.py | 0199_ Binary Tree Right Side View.py | py | 794 | python | en | code | 1 | github-code | 13 |
46200892704 | #!/usr/bin/env python3
"""LAN monitor stock notifications handler
"""
__version__ = "3.1"
#==========================================================
#
# Chris Nelson, Copyright 2021-2023
#
# 3.1 230320 - Debug mode status dump
# 3.0 230301 - Packaged
# V2.0 221130 Dropped --once, added --service. Added on-dema... | cjnaz/lanmonitor | src/lanmonitor/stock_notif.py | stock_notif.py | py | 9,608 | python | en | code | 2 | github-code | 13 |
71031628817 | from flask import Flask, render_template, url_for, request
app = Flask(__name__)
import pyshorteners
import pyperclip
def shortenit(longurl):
s = pyshorteners.Shortener()
url = longurl;
shorturl= s.tinyurl.short(url)
return shorturl
def convert(longurl):
if ' ' in longurl:
return "Remove... | priyanshuv-raw/CodeClauseInternship_URLShortner | run.py | run.py | py | 863 | python | en | code | 0 | github-code | 13 |
38320405981 | import datetime
from django.db.models import Q
from django.http import Http404
from rest_framework import status
from rest_framework import generics
from rest_framework.response import Response
from rest_framework.permissions import AllowAny, IsAuthenticated
from rest_framework.views import APIView
from rest_framewor... | tanmaypardeshi/Loan-Management-System | backend/user/views.py | views.py | py | 7,044 | python | en | code | 6 | github-code | 13 |
31126770234 | import pandas as pd
path = "/Users/davidaxelrod/Documents/solarcities/census.csv"
# Make a row iterator (this will go row by row)
from app import models
head = True
escapes = ''.join([chr(char) for char in range(1, 32)])
with open(path, 'rb') as f:
for line in f:
if not head:
data=str(line).split("... | daxaxelrod/solarcities | app/census_creation.py | census_creation.py | py | 507 | python | en | code | 0 | github-code | 13 |
13377921481 | import pandas as pd
import matplotlib.pyplot as plt
csv_file='sherry.csv'
data = pd.read_csv(csv_file)
likes = list(data["likes"])[:50][::-1]
timestamp = list(data["time"])[:50][::-1]
x= timestamp
y= likes
plt.scatter(x,y)
plt.xlabel('timestamp->')
plt.ylabel('likes->')
plt.title('Insta')
plt.show()
| tlylt/Social-Media-Dashboard | read_insta.py | read_insta.py | py | 301 | python | en | code | 1 | github-code | 13 |
12349416124 | import pygame, sys, os
from pygame.locals import *
from mainWindow import Window
# Attempting to recreate a Snake clone
BLACK = (0, 0, 0)
window_width = 500
window_height = 500
pygame.init()
fps = 30
fpsClock = pygame.time.Clock()
main_surface = pygame.display.set_mode((window_width, window_height))
# Creating blo... | AlbertoEngineersEverything/pygaming | Chapter_16/Snake.py | Snake.py | py | 764 | python | en | code | 0 | github-code | 13 |
18889537906 | from django.urls import path
from . import views
urlpatterns = [
path('categories', views.product_categories, name='product_categories'),
path('categories/products', views.all_products, name='products'),
path('<int:product_id>/', views.design_product, name='design_product'),
path('add/', views.add_prod... | natalijabujevic0708/DesignYourCrafts | products/urls.py | urls.py | py | 507 | python | en | code | 0 | github-code | 13 |
31112195902 | #Abrir uma sequência de imagens coloridas, transformar para tom de cinza cada imagem e obtenha os momentos centrais de todas estas imagens. Imprima os resultados de cada imagem em um arquivo e na tela do prompt de comandos. Cada linha do arquivo gerado deve representar os atributos obtidos em uma imagem.
import cv2
im... | VivianeSouza923/ComputerVisionPy_Lapisco | 47/questão47.py | questão47.py | py | 1,389 | python | pt | code | 0 | github-code | 13 |
19219089807 | n = int(input())
answer = 0
saving = {}
values = []
num = 9
for _ in range(n):
word = input()
for s in range(len(word)):
if word[s] in saving:
saving[word[s]] += 10 ** (len(word) - 1 - s)
else:
saving[word[s]] = 10 ** (len(word) - 1 - s)
# print(saving)
... | Choi-Jiwon-38/WINK-algorithm-study | week 7/단어 수학.py | 단어 수학.py | py | 491 | python | en | code | 0 | github-code | 13 |
33627649681 |
from django.urls import path
from . import views
app_name = "staking"
urlpatterns = [
path("", views.IndexView, name="index"),
path("stake/", views.StakeView, name="stake"),
path("stake/metamask/", views.StakeWithMView, name="stake_metamask"),
path("stake/metamask/pay/", views.StakeWithM2View, name="stake_meta... | lurdray/aibra.io-version2- | stake/urls.py | urls.py | py | 668 | python | en | code | 0 | github-code | 13 |
35205361689 | from util import aoc
def look_and_say(model):
last = model[0]
n = 1
result = []
for c in model[1:]:
if last == c:
n += 1
else:
result += str(n), last
last = c
n = 1
result += str(n), last
return "".join(result)
def part_one(mode... | barneyb/aoc-2023 | python/aoc2015/day10/elves_look_elves_say.py | elves_look_elves_say.py | py | 629 | python | en | code | 0 | github-code | 13 |
1378175911 | # Import the required libraries
from tkinter import *
from tkinter import messagebox
# Create an instance of tkinter frame or window
win=Tk()
# Set the size of the tkinter window
win.geometry("700x350")
def cal_sum():
t1=int(a.get())
t2=int(b.get())
sum=t1+t2
label.config(text=sum)
# messagebox.showi... | Parth9780/Backend_12-SEP | Python 12_Sep/Practis/Tkinter/TTk.py | TTk.py | py | 1,784 | python | en | code | 0 | github-code | 13 |
33626996203 | from importlib import metadata
# NOTE: importing to have the types registered
import h5pyckle.interop_builtins
import h5pyckle.interop_numpy # noqa: F401
from h5pyckle.base import (
PickleGroup,
dump,
dump_sequence_to_group,
dump_to_attribute,
dump_to_group,
dumper,
load,
load_by_patte... | alexfikl/h5pyckle | h5pyckle/__init__.py | __init__.py | py | 815 | python | en | code | 0 | github-code | 13 |
11192471439 | from PIL import Image, ImageFilter, ImageOps
img = Image.open('./cat.jpg')
# cropping the body area of the cat
img = img.crop((200, 125, 420, 310))
# Blurring the image
img = img.filter(ImageFilter.GaussianBlur(6))
# then mirroring the image
img = ImageOps.mirror(img)
# and converting the image into black and white i... | AshuAhlawat/Python | Modules/Pillow/multiple.py | multiple.py | py | 370 | python | en | code | 1 | github-code | 13 |
20280063552 | import os
import pandas as pd
import numpy as np
import xlrd
from django.http import HttpResponse
from django.shortcuts import render
from openpyxl import load_workbook
from elucidata import models
# Create your views here.
def ques1(request):
context_dict = {}
if request.method == 'POST':
try:
my_file = mod... | saket9000/Elucidata | elucidata/views.py | views.py | py | 3,692 | python | en | code | 0 | github-code | 13 |
33586549169 |
import numpy as np
import tensorflow as tf
from tensorflow.python.keras import Sequential
from tensorflow.python.keras.layers import Bidirectional
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import Embedding
from tensorflow.python.keras.layers import GlobalAveragePooling1D
fro... | vahedq/rumors | models/dl.py | dl.py | py | 1,994 | python | en | code | 6 | github-code | 13 |
42148509924 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
try:
long_description = open("README.md").read()
except IOError:
long_description = ""
setup(
name="openwhisk_docker_action",
version="0.1.7",
description="A class to make writing openwhisk docker actions easier to write in python... | kognate/openwhisk_docker_action | setup.py | setup.py | py | 692 | python | en | code | 0 | github-code | 13 |
37197156044 | import pymongo, time
import sys
# import scrapyd_api
# from scrapyd_api import ScrapydAPI
# import scrapyd_api
# start = time.time()
# client = pymongo.MongoClient("mongodb://zhubo:zb52971552@101.132.117.61:27017/admin") # Alice
# client = pymongo.MongoClient("mongodb://zhubo:zb52971552@203.195.224.50:27017/a... | Mew97/atoz | mongo_db.py | mongo_db.py | py | 2,715 | python | en | code | 0 | github-code | 13 |
40256619374 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 1 14:03:09 2022
@author: jonwinkelman
"""
import pysam
import os
import pd
filepath = '/Users/jonwinkelman/Dropbox/Trestle_projects/Eustaquio_lab/Epigenetics_Project/RNAseq_bam_files/BAN-1.bam'
def get_bam_pairs(filename):
samfile = pysam.Align... | jtwinkel/eustaquio_epigenetics | Eustaquio_epigenetics/jw_utils/RNAseq_utils.py | RNAseq_utils.py | py | 4,757 | python | en | code | 0 | github-code | 13 |
14277583916 | import bpy, subprocess,ast, re
from bpy.app.handlers import persistent
from bpy.types import Operator
import datetime
class RENTASKLIST_OT_probar_modaltimer(Operator):
bl_idname = "rentask.probar_modal_timer"
bl_label = "Modal Timer Operator"
_timer = None
def modal(self, context, event):
sc = bpy.context.scen... | Tilapiatsu/blender-custom_config | scripts/addon_library/local/render_task_list/rentask/op_rentask_probar.py | op_rentask_probar.py | py | 1,221 | python | en | code | 5 | github-code | 13 |
2718481941 | num_oper = input().split("-")
nums = []
for i in range(len(num_oper)):
nums.append(num_oper[i].split("+"))
# print(nums)
first = 0
minus = 0
for i in range(0, len(nums)):
for j in range(len(nums[i])):
if i == 0:
first = first + int(nums[i][j])
else:
minus = minus + int(... | jinlee9270/algo | InJungle/week04/1514.py | 1514.py | py | 354 | python | en | code | 0 | github-code | 13 |
27075850819 | import os
from dotenv import load_dotenv
from langchain.llms import LlamaCpp
import logging
import spacy
load_dotenv()
class Configuration:
_instance = None
def __new__(cls):
if not cls._instance:
cls._instance = super(Configuration, cls).__new__(cls)
cls._inst... | innermost47/autogenius-daily | config.py | config.py | py | 2,197 | python | en | code | 5 | github-code | 13 |
24582992745 | import numpy as np
import pandas as pd
import scipy.ndimage as nd
from imageio import imsave as imsave2d
from timagetk.components import SpatialImage
from timagetk.io import imsave
from timagetk.algorithms.trsf import allocate_c_bal_matrix, apply_trsf, create_trsf
from timagetk.algorithms.reconstruction import pts2... | elifesciences-publications/sam_spaghetti | src/sam_spaghetti/signal_image_slices.py | signal_image_slices.py | py | 29,239 | python | en | code | 0 | github-code | 13 |
71270841937 | import os
dir_path = os.path.dirname(os.path.realpath(__file__))
from collections import defaultdict
CL = {
'(': ')',
'[': ']',
'{': '}',
'<': '>'
}
def part1(inp):
global CL
wrong = defaultdict(int)
for line in inp:
s = []
for c in line:
if c in ['(', '<', '... | Lammatian/AdventOfCode | 2021/src/day10/main.py | main.py | py | 1,812 | python | en | code | 1 | github-code | 13 |
71645328019 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('seedbank', '0008_auto_20141206_1245'),
]
operations = [
migrations.AlterField(
model_name='seed',
na... | briandant/echo-seeds | echo_seeds/seedbank/migrations/0009_auto_20141206_1307.py | 0009_auto_20141206_1307.py | py | 471 | python | en | code | 0 | github-code | 13 |
30313101620 | import logging
import signal
import threading
from flask_babel import lazy_gettext as l_
from xivo import plugin_helpers
from .http_server import Server
from wazo_ui.helpers.destination import register_destination_form
from wazo_ui.helpers.error import (
ErrorExtractor,
ErrorTranslator,
ConfdErrorExtracto... | wazo-platform/wazo-ui | wazo_ui/controller.py | controller.py | py | 3,275 | python | en | code | 4 | github-code | 13 |
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