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
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
23175990731 | from bergen.console import console
from bergen.schema import Node
from bergen.graphical import GraphicalBackend
class Interaction:
def __init__(self, node: Node) -> None:
self.node = node
async def graphical_assign(self):
from bergen.ui.assignation import AssignationUI
with console.s... | jhnnsrs/bergen | bergen/contracts/interaction.py | interaction.py | py | 713 | python | en | code | 0 | github-code | 90 |
18235028162 | from django.shortcuts import redirect
from django.utils.encoding import smart_str
from django.contrib.sites.shortcuts import get_current_site
from django.utils.http import urlsafe_base64_decode, urlsafe_base64_encode
from django.urls import reverse
from django.contrib.auth.tokens import PasswordResetTokenGenerator
from... | samadaderinto/e-commerce-backend | codematics/core/views.py | views.py | py | 21,024 | python | en | code | 1 | github-code | 90 |
1608358740 | from kivymd.app import MDApp
from kivy.lang.builder import Builder
from kivy.properties import StringProperty, ListProperty
from kivymd.uix.list import MDList,OneLineIconListItem
from kivymd.theming import ThemableBehavior
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.screenmanager import ScreenManager, Scree... | simofane4/transapp | mangement/main.py | main.py | py | 3,219 | python | en | code | 0 | github-code | 90 |
42888975081 | import os, re, torch
from collections import defaultdict, OrderedDict
from mmsc.datasets.base_dataset import BaseDataset
from mmsc.utils.dataset import load_video
_CONSTANTS = {
'dataset_name': 'voxceleb2',
'wave_ext': 'wav',
'face_ext': 'jpg',
'face_folder': 'aligned_faces',
'video_ext': 'mp4'... | zcxu-eric/AVA-AVD | model/mmsc/datasets/builders/voxceleb2/dataset.py | dataset.py | py | 5,233 | python | en | code | 32 | github-code | 90 |
19586753164 | #!/usr/bin/python
##################################
# getrange.py - Get distance reading from ultrasonic range detector
# on GPIO pins GPIO_TRIGGER_F and GPIO_ECHO_F
#
# HISTORICAL INFORMATION -
#
# 2016-xx-xx Eric/Mike Created for Raspberry pi
# 2017-02-04 msipin Adapted to C.H.I.P. by replacing G... | rhazzed/potatoCHIP | getrange.py | getrange.py | py | 3,598 | python | en | code | 0 | github-code | 90 |
26496706878 | # L)백준2447_별 찍기 - 10
# https://www.acmicpc.net/problem/2447
# 문제
# 재귀적인 패턴으로 별을 찍어 보자. N이 3의 거듭제곱(3, 9, 27, ...)이라고 할 때, 크기 N의 패턴은 N×N 정사각형 모양이다.
# 크기 3의 패턴은 가운데에 공백이 있고, 가운데를 제외한 모든 칸에 별이 하나씩 있는 패턴이다.
# ***
# * *
# ***
# N이 3보다 클 경우, 크기 N의 패턴은 공백으로 채워진 가운데의 (N/3)×(N/3) 정사각형을 크기 N/3의 패턴으로 둘러싼 형태이다. 예를 들어 크기 27의 패턴은 예제... | hamin2065/PnP-Algorithm | Week 2/L)백준2447.py | L)백준2447.py | py | 1,363 | python | ko | code | 0 | github-code | 90 |
43940853851 | # -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
from tqdm import tqdm
import os
# 存储数据的根目录
ROOT_PATH = "./data"
# 比赛数据集路径
DATASET_PATH = ROOT_PATH + '/wechat_algo_data1/'
# 训练集
USER_ACTION = DATASET_PATH + "user_action.csv"
FEED_INFO = DATASET_PATH + "feed_info.csv"
FEED_EMBEDDINGS = DATASET_PATH + "fee... | crayonyon/wechat-big-data-game | prepare_data.py | prepare_data.py | py | 9,889 | python | en | code | 0 | github-code | 90 |
9769635982 | from django.contrib import admin
from .models import (Challenge, Solution,)
from .forms import (ChallengeForm, SolutionForm,)
class SolutionInline(admin.TabularInline):
model = Solution
fields = ['text','is_correct',]
extra = 0
class ChallengeAdmin(admin.ModelAdmin):
form = ChallengeForm
list_display = ('title'... | saraivaufc/askmath | competition/admin.py | admin.py | py | 630 | python | en | code | 0 | github-code | 90 |
35024302777 | #!/usr/bin/env python3
"""Somewhat automated crawler using the YTCrawl library."""
# pylama:ignore=E501
# Note that the common import also checks for Python 3
from common import youtube_id_from_cmdline, log, rel_path
# Make sure these parameters can be imported from another script
BATCH_FILE = rel_path("batch_ytid.... | CraigKelly/youtube-data | do_crawl.py | do_crawl.py | py | 907 | python | en | code | 4 | github-code | 90 |
75053607656 | # -*- coding: utf-8 -*-
import pandas as pd
import os
from rdkit import Chem
from tqdm import tqdm
from autotemplate.run_utils import clearIsotope, RemoveReagent
from autotemplate.extract_utils import canon_remap
import matplotlib.pyplot as plt
import CGRtools
plt.rcParams["figure.dpi"] = 400
from matplotli... | Lung-Yi/AutoTemplate | post_analysis.py | post_analysis.py | py | 5,677 | python | en | code | 2 | github-code | 90 |
44772195734 | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from search_func import search_query, get_data_by_id
app = FastAPI()
# Configure CORS
app.add_middleware(
CORSMiddleware,
allow_origins=['*'], # Allow all origins
allow_credentials=True,
allow_methods=["*"], # Allow all m... | bhattaraisushma/DataB | backend/main.py | main.py | py | 1,099 | python | en | code | 0 | github-code | 90 |
73579975978 | import time
import numpy as np
import dfibers.numerical_utilities as nu
import itertools as it
import matplotlib.pyplot as plt
import dfibers.fixed_points as fx
class FiberTrace:
"""
A record of fiber traversal. Has fields:
status: "Terminated" | "Closed loop" | "Max steps" | "Timed out" | "Critical"
... | garrettkatz/directional-fibers | dfibers/traversal.py | traversal.py | py | 12,381 | python | en | code | 1 | github-code | 90 |
18543606289 | def main():
N, C = map(int, input().split())
sushis = [(0, 0) for _ in range(N)]
for i in range(N):
x, v = map(int, input().split())
sushis[i] = (x, v)
ls, rs = 0, 0
left = [(0, 0) for _ in range(N+1)]
right = [(0, 0) for _ in range(N+1)]
for i in range(N):
ls += sush... | Aasthaengg/IBMdataset | Python_codes/p03372/s015911268.py | s015911268.py | py | 817 | python | en | code | 0 | github-code | 90 |
40384396780 | import onnx_graphsurgeon as gs
import numpy as np
import onnx
scale_const = gs.Constant(name="scale_const_1", values=np.ones(shape=(63,), dtype=np.float32))
bias_const = gs.Constant(name="b_const_1", values=np.zeros(shape=(63,), dtype=np.float32))
@gs.Graph.register()
def replace_with_instancenormalization(self, inpu... | BraveLii/trt-hackathon-swin-transformer | scripts/merge.py | merge.py | py | 2,136 | python | en | code | 4 | github-code | 90 |
25828981553 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
class ResNet(nn.Module):
def __init__(self, dataset, multi_loss, base_model, out_dim):
super(ResNet, self).__init__()
self.resnet_dict = {"resnet18": models.resnet18(pretrained=False),
... | mozzielol/Hybrid | Hybrid_as_aug/models/resnet.py | resnet.py | py | 1,613 | python | en | code | 0 | github-code | 90 |
22550662416 | import jinja2
import requests
from time import sleep
from PIL import Image
import urllib.request
import qrcode
from io import BytesIO
from base64 import b64encode
ENV = jinja2.Environment(extensions=['jinja2.ext.loopcontrols'])
class NFT:
def __init__(self, contract_addr, id):
self.contract_addr =... | realjohnward/NFT-Framer | NFT_Framer/app/template_filters/filters.py | filters.py | py | 1,735 | python | en | code | 1 | github-code | 90 |
13090914335 | class Solution:
def maxProfit(self, prices: List[int]) -> int:
minSoFar = prices[0]
maxProfit = 0
for price in prices:
if (price < minSoFar):
minSoFar = price
currProfit = price - minSoFar
if (currProfit > maxProfit):
maxPro... | magdumsuraj07/data-structures-algorithms | questions/striever_SDE_sheet/6_best_time_to_buy_and_sell_stock.py | 6_best_time_to_buy_and_sell_stock.py | py | 362 | python | en | code | 0 | github-code | 90 |
18494277069 | import sys
input = sys.stdin.buffer.readline
from collections import defaultdict
import copy
def main():
N,M = map(int,input().split())
d = defaultdict(int)
MOD = 10**9+7
R = 10**5+100
fac = [0 for _ in range(R+1)]
fac[0],fac[1] = 1,1
inv = copy.deepcopy(fac)
invfac = copy.deepcopy(fac)... | Aasthaengg/IBMdataset | Python_codes/p03253/s901379470.py | s901379470.py | py | 974 | python | en | code | 0 | github-code | 90 |
1495599402 | #!/usr/bin/env python
import csv
import numpy as np
from threading import Thread, current_thread
from subprocess32 import Popen, PIPE
from datetime import datetime
import matplotlib.pyplot as plt
from scipy.signal import convolve2d
from skimage.transform import rotate
from skimage import filters
import time
import cv2
... | arihanv/croplands_optimization | pySOT_torch.py | pySOT_torch.py | py | 8,715 | python | en | code | 0 | github-code | 90 |
22383454857 | import pickle
class DiskIO:
def __compress_1_number_vbe(self, number):
binary = bin(number)[2:]
res = ''
i = 0
while len(binary) > 7:
res = '0' + binary[len(binary) - 7:] + res
binary = binary[:len(binary) - 7]
i += 1
res = '1... | borchaniz/search_index_compression | DiskIO.py | DiskIO.py | py | 3,919 | python | en | code | 0 | github-code | 90 |
22813410929 | #!/usr/bin/env python3
# encoding: utf-8
import os
from nose import with_setup
from nose.plugins.skip import SkipTest
from tests.utils import *
SOURCE = '''
#include <stddef.h>
#include <stdlib.h>
#include <stdio.h>
int main(int argc, char *argv[]) {
puts("Hello rmlint. Why were you executing this?");
retur... | sahib/rmlint | tests/test_types/test_nonstripped.py | test_nonstripped.py | py | 2,125 | python | en | code | 1,672 | github-code | 90 |
19368287658 | # coding: utf-8
# modified from https://github.com/minzwon/self-attention-music-tagging
import os
import numpy as np
from torch.utils import data
import pickle as pkl
import librosa
import warnings
import math
class AudioFolder(data.Dataset):
def __init__(self,
input_length, # [s]
... | marinelliluca/transformer-based-music-auto-tagging | training/data_loader.py | data_loader.py | py | 5,802 | python | en | code | 3 | github-code | 90 |
21180559486 | class Solution:
def isValidSudoku(self, board: List[List[str]]) -> bool:
sub_boxes = collections.defaultdict(set)
rows = collections.defaultdict(set)
cols = collections.defaultdict(set)
row_num = len(board)
col_num = len(board[0])
#Each row must contain the digits 1-9... | Tettey1/A2SV | leetcode-solutions/valid-sudoku.py | valid-sudoku.py | py | 879 | python | en | code | 0 | github-code | 90 |
302796985 | import myokit
import myokit.gui
from myokit.gui import Qt, QtCore, QtGui, QtWidgets
# GUI components
# Constants
SPACE = ' '
TABS = 4
INDENT = SPACE * TABS
BRACKETS = {
'(': ')',
')': '(',
'[': ']',
']': '['
}
BRACKETS_CLOSE = (')', ']')
FONT = myokit.gui.qtMonospaceFont()
FONT.setPointSize(11)
# Co... | myokit/myokit | myokit/gui/source.py | source.py | py | 52,152 | python | en | code | 29 | github-code | 90 |
25593921281 | from urllib.request import build_opener, HTTPCookieProcessor
from http.cookiejar import LWPCookieJar
cookie = LWPCookieJar()
cookie.load('cookie2.txt', ignore_expires=True, ignore_discard=True)
handler = HTTPCookieProcessor(cookie)
opener = build_opener(handler)
opener.addheaders = [('User-Agent', 'Mozilla/5.0 (Window... | zhimin7/web_spider | 01 urllib_demo/cookiejar_demo5.py | cookiejar_demo5.py | py | 506 | python | en | code | 0 | github-code | 90 |
11237399510 | # pylint: disable=missing-function-docstring, missing-module-docstring
# pylint: disable=missing-class-docstring, invalid-name, unused-argument
import http
import unittest
from unittest.mock import patch
from parameterized import parameterized
from shmelegram import app, db
from shmelegram.models import Chat, User, ... | Hukyl/shmelegram | tests/test_api.py | test_api.py | py | 5,775 | python | en | code | 1 | github-code | 90 |
13128111659 | import sys
input= sys.stdin.readline
n=int(input())
answer=[]
l=[i for i in range(2,n+1)]
a= [0]+list(map(int, input().split()))
answer.append(1)
index=0
m=a[1]
while 1 != len(a):
index+=m
if len(a)<index:
index=index//m
b=l.pop(index)
answer.append(b)
m=a[index]
print(answer) | koreabeginner96/CodeTest | Simulation/Back_Ballnoon_S3.py | Back_Ballnoon_S3.py | py | 305 | python | en | code | 0 | github-code | 90 |
18543939849 | import numpy as np
N,C = list(map(int, input().split()))
XV = [list(map(int, input().split())) for _ in range(N)]
X = np.array([0] + [x for x,v in XV])
V = np.array([0] + [v for x,v in XV])
V_cw_cumsum = V.cumsum()
right_one_ways = V_cw_cumsum - X
V_ccw_cumsum = V[::-1].cumsum()[::-1]
left_one_ways = V_ccw_cumsum ... | Aasthaengg/IBMdataset | Python_codes/p03372/s404416571.py | s404416571.py | py | 876 | python | en | code | 0 | github-code | 90 |
18454349399 | s = int(input())
lst = [s]
for i in range(10**6):
if int(lst[-1]) & 1 == 0:
next_a = lst[-1]/2
if next_a in lst:
m = i + 1
break
lst.append(next_a)
else:
next_aa = 3*lst[-1] +1
if next_aa in lst:
m = i + 1
break
lst... | Aasthaengg/IBMdataset | Python_codes/p03146/s416013601.py | s416013601.py | py | 348 | python | en | code | 0 | github-code | 90 |
43514284403 | from django.urls import path
from myappF23 import views
app_name = 'myappF23'
# urlpatterns = [
# path(r'', views.index, name='index'),
# path('<int:category_no>/', views.detail, name='detail'),
# path('aboutwebapp/', views.about, name='about')
# ]
urlpatterns = [
path('', views.index, name='index')... | Flash-7/DistanceEd | myappF23/urls.py | urls.py | py | 1,105 | python | en | code | 0 | github-code | 90 |
2179604531 | class Solution:
def mergeAlternately(self, word1: str, word2: str) -> str:
result = ""
for char1, char2 in zip(word1, word2):
result += char1 + char2
len1 = len(word1)
len2 = len(word2)
if len1 < len2:
result += word2[len1:len2]
... | wlyu1208/Leet-Code | 1769_Minimum_Number_of_Operations_to_Move_All_Balls_to_Each_Box/code.py | code.py | py | 411 | python | en | code | 1 | github-code | 90 |
18180636519 | #D
N=int(input())
X=str(input())
CNT=0
for i in range(N):
if X[i]=="1":
CNT+=1
NUM=int(X,2)
to0_cnt=[0 for i in range(N)]
for i in range(1,N):
ans=0
num=i
while True:
cnt=0
for j in bin(num)[2:]:
if j=="1":
cnt+=1
if cnt==0:
br... | Aasthaengg/IBMdataset | Python_codes/p02609/s269902866.py | s269902866.py | py | 760 | python | en | code | 0 | github-code | 90 |
34842111844 | """ creates a binary search tree """
class Node:
def __init__(self, data):
self.left = None
self.right = None
self.data = data
def __repr__(self):
return f"{self.data}"
class BST:
def __init__(self):
pass
def insert(self, root, node):
# if there ... | ds-praveenkumar/python-tutorial | datastructures/bst.py | bst.py | py | 1,846 | python | en | code | 0 | github-code | 90 |
9139791151 | class Solution:
def merge(self, intervals):
#O(nlogn)
intervals.sort(key = lambda i: i[0])
output = [intervals[0]]
for start, end in intervals[1:]:
lastEnd = output[-1][1]
if start <= lastEnd:
output[-1][1] = max(lastEnd, end)
els... | sohbanm/LeetCode | Lists/Merge Intervals.py | Merge Intervals.py | py | 467 | python | en | code | 1 | github-code | 90 |
6126119750 | from flask import Flask, render_template, request, redirect, url_for
app = Flask(__name__)
email=""
@app.route("/")
def index():
return render_template("index.html")
@app.route("/signin", methods=['POST', 'GET'])
def signin():
if request.method == "POST":
try:
global email
e... | incub4t0r/signin_example | app.py | app.py | py | 967 | python | en | code | 0 | github-code | 90 |
45134205093 | import os
def create_data(data_dir_path, data_file_path):
if not os.path.exists(data_dir_path):
os.makedirs(data_dir_path)
open(data_dir_path, 'w').close()
elif not os.path.exists(data_file_path):
open(data_file_path, 'w').close()
def mess_menue(full_course, data_dir_path):
print(... | runinrunin/cooking_helper | src/utils.py | utils.py | py | 1,234 | python | en | code | 0 | github-code | 90 |
41586807948 | from jira import JIRA
from time import sleep
import datetime
from sys import exit
from tkinter.filedialog import askopenfilename, asksaveasfilename
import tkinter as tk
from tkinter import *
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill
import os
import json
# This should be your JIRA ins... | delsakov/JIRA_Tools | Export From JIRA.py | Export From JIRA.py | py | 19,410 | python | en | code | 3 | github-code | 90 |
15660278599 | """ Retrieve slp, uwnd and uflx data for MERRA via ftp from pre-defined
lists of urls. urls were created with the tool at:
http://disc.sci.gsfc.nasa.gov/daac-bin/FTPSubset.pl?LOOKUPID_List=MATMNXSLV
Files arrive in monthly chunks and are concatenated with cdo
.. moduleauthor:: Neil Swart <neil.sw... | swartn/sam-vs-jet-paper | data_retrieval/merra/get_merra_data.py | get_merra_data.py | py | 1,373 | python | en | code | 3 | github-code | 90 |
72040022696 | # -*- coding: utf-8 -*-
"""
function top_binarizer() was previously used to create the binary matrix `bmc_mat`.
top_binarizer() can be built upon to make a more realistic binary matrix.
because currently it is based on rank of market cap.
in reality, however, it is more complex.
for example, nr 11 will have to ... | jacolind/crinfu | py/function-top_binarizer.py | function-top_binarizer.py | py | 956 | python | en | code | 1 | github-code | 90 |
21655010852 | import requests
from quart import Quart, request
import json
import copy
from datetime import datetime
import moment
import asyncio
import os
from time import sleep
import uuid
from quart_cors import cors
import python_pachyderm
#////////////////////////////////////////////////////////////////////////////////////////... | theycallmeloki/Edith | interfacer/server.py | server.py | py | 8,054 | python | en | code | 6 | github-code | 90 |
43442611975 | import os
import glob
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
import argparse
from torch.utils.data import DataLoader, Subset, Dataset
from torchvision import datasets, transforms
from sklearn.model_selection import train_test_split
from PIL import Image
class SimpleCNN(nn.M... | simula/presimal-sample-submission | run.py | run.py | py | 4,620 | python | en | code | 0 | github-code | 90 |
9088105650 | import pymysql.cursors
from datetime import datetime
class mysqlUtil(object):
#也可以使用参数进行初始化数据库连接self,host,user,password,db,port,charset
def __init__(self):
self.host="127.0.0.1"
self.user="root"
self.password="123456"
self.db="parking_system"
self.port=3306
self.charset="utf8"
self.connection=self.connec... | zhenglinyi/MyCarPlateRecognition | DataBase.py | DataBase.py | py | 8,682 | python | en | code | 1 | github-code | 90 |
35753854911 | #!/usr/bin/env python
arr=[]
for i in range(5):
name=input()
if len(name)>10:
continue
name=name.replace("FBI","*");
if name.find("*")==-1:
continue
arr.append(i+1)
if arr:
print(*arr)
else:
print("HE GOT AWAY!")
| hansojin/python | string/bj2857.py | bj2857.py | py | 259 | python | en | code | 0 | github-code | 90 |
26545500864 | # https://leetcode.com/problems/kth-largest-element-in-a-stream
import heapq
from typing import List
class KthLargest:
def __init__(self, k: int, nums: List[int]):
self.k = k
self.nums = [num for num in nums]
heapq.heapify(self.nums)
def add(self, val: int) -> int:
... | peulsilva/leetcode-problems | problems/kth_largest_element_in_a_stream.py | kth_largest_element_in_a_stream.py | py | 473 | python | en | code | 0 | github-code | 90 |
5006342605 | # evolution.py
# (C)2015
# Scott Ernst
from __future__ import \
print_function, absolute_import, \
unicode_literals, division
import numpy as np
from scipy import stats
import pandas as pd
import plotly.plotly as plotly
from plotly import graph_objs as plotlyGraph
from plotly import tools as plotlyTools
#==... | sernst/MVP_Analysis | src/mlb/analysis/evolution.py | evolution.py | py | 7,366 | python | en | code | 0 | github-code | 90 |
19414741112 | import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import Dense , Conv2D, MaxPooling2D , Dropout, Input,Flatten
from tensorflow.keras.models import Model
from tensorflow.keras.datasets import mnist
from tensorflow.keras.utils import to_categorical
(x_train, y_train), (x_test, y_test) = mnist.load... | Pavankunchala/Deep-Learning | Tensorflow_Basics/Functional-Model/cnn_functional.py | cnn_functional.py | py | 2,139 | python | en | code | 31 | github-code | 90 |
13386701439 | #!/bin/python
#
# Author : Ye Jinchang
# Date : 2016-04-14 11:06:13
# Title : 199 binary tree right side view
# Given 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.
#
# For example:
# Given the following binary... | Alwayswithme/LeetCode | Python/199-binary-tree-right-side-view.py | 199-binary-tree-right-side-view.py | py | 1,252 | python | en | code | 1 | github-code | 90 |
74119952616 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 7 20:17:55 2018
@author: user
字串索引
"""
val=input()
for i in range(len(val)):
print("Index of '{:}': {:}".format(val[i],i)) | junyi1997/TQC_Python | 8.第八類/PYD801.py | PYD801.py | py | 186 | python | en | code | 0 | github-code | 90 |
12049370544 | import uuid
import logging
from django.conf import settings
from django.core.management.base import BaseCommand
from kombu import Connection, Exchange, Queue
from kombu.mixins import ConsumerMixin
from search_engine.crawlers import web_crawler, text_preprocess, process_text_metadata
LOGGER = logging.getLogger(__name_... | brunolcarli/seeker | search_engine/management/commands/amqp_consumer.py | amqp_consumer.py | py | 3,446 | python | en | code | 1 | github-code | 90 |
39203379176 | from tkinter import *
class MyWindow:
def __init__(self, window):
self.label_title = Label(window, text = "My Full Name", fg = "red", font = "verdana")
self.label_title.place(x=200, y=40)
self.label_firstname = Label(window, text = "Enter Given Name:", fg = "red")
self.labe... | SamanthaLapena/58002_OOP | Midterm Exam Problem 2_LAPEÑA.py | Midterm Exam Problem 2_LAPEÑA.py | py | 2,117 | python | en | code | 0 | github-code | 90 |
10935925743 | import os
import logging
import pandas as pd
import matplotlib.pyplot as plt
PRE_PATH = '../data/preprocessed/'
LOGS_PATH = '../logs/'
PLOTS_PATH = './plots/'
logging.basicConfig(format='%(levelname)s - %(asctime)s: %(message)s',
datefmt='%d/%m/%Y %H:%M:%S',
filename=(LOGS_PATH... | Gonmeso/TFM_Anomaly_Detection | src/EDA/generate_graphs.py | generate_graphs.py | py | 2,728 | python | en | code | 0 | github-code | 90 |
72058832937 | repetitions = -1
numbers = [0, 12, 15]
answer = 0
_sum = 0
print(len(numbers))
print('if you want to stop the program just type 999 in the program')
while answer != 999:
numbers.append(answer)
_sum += answer
answer = int(input('Enter a integer: '))
repetitions += 1
print(f'{repetitions} numbers were typ... | vytorrennan/Curso-de-python | ex/old 057 until 064/ex064.py | ex064.py | py | 365 | python | en | code | 0 | github-code | 90 |
20259307035 | import pygame
from pygame import display, event, key, draw
from pygame.constants import K_KP0, K_KP1, K_KP2, K_KP3, K_KP4, K_KP5, K_KP6, K_KP7, K_KP8, K_KP9
import math
import requests
from json import dumps
pygame.init()
display.set_caption("Place")
running = True
screen = display.set_mode((900,900))
c_s... | RyroyNotFound/pixel | Place/main.py | main.py | py | 2,861 | python | en | code | 0 | github-code | 90 |
11584670283 | from typing import List
from ..domain.models import Channel, Subscription
from ..domain.repositories import (
ChannelRepository, DeviceRepository,
MessageRepository, SubscriptionRepository)
from ..domain.services import DeliveryService
from ..domain.common import RecordList
class SubscriptionManager:
def ... | knowark/instark | instark/application/managers/subscription_manager.py | subscription_manager.py | py | 2,995 | python | en | code | 2 | github-code | 90 |
13942285883 | import random
pc = random.randint(1,3)
i = 0
for i in range(1,4):
py = int(input("请输入1:石头 2:剪刀 3:布"))
if py > 0 and py < 4:
if (py == 1 and pc == 2) or (py == 2 and pc == 3) or (py == 3 and pc == 1):
print("玩家赢")
elif py == pc:
print("平局")
else:
print("电脑赢")
else:
print("输入不合法")
| nijunge/1807-2 | 1807/18day/月考编程练习/04.py | 04.py | py | 342 | python | en | code | 0 | github-code | 90 |
30237009236 | from scipy.linalg import hadamard
import numpy as np
import matplotlib.pyplot as plt
import time
import cv2
from run_generation import cali_gen
""" Plot the calibration images (Hadamard matrix) using open-cv, a faster way than using plt """
T_start = time.time()
N = 32
H = hadamard(N)
I_vector = np.ones((... | TTimelord/lensless | flatcam/picture_get_cv.py | picture_get_cv.py | py | 2,228 | python | en | code | 0 | github-code | 90 |
4397517602 | from pyspark.sql import SQLContext, Row
from pyspark import SparkContext
from pyspark.sql import SQLContext
sc=SparkContext()
sqlContext = SQLContext(sc)
lines = sc.textFile("/home/gpurama/Spark_task/spark-test/product.txt")
parts = lines.map(lambda l: l.split("|"))
people = parts.map(lambda p: Row(product_id=int(p[... | gopal354/practice | product.py | product.py | py | 701 | python | en | code | 0 | github-code | 90 |
22966186871 | import random
from tkinter import N
class Node:
def __init__(self, data, next=None):
self.data = data
self.next = next
class LinkedList:
def __init__ (self):
self.head = None
def __str__ (self):
node = self.head
while node is not None:
print (node.data)
... | brandopakel/Python-Data-Structure-and-Algorithm-Practice | linked_list.py | linked_list.py | py | 1,797 | python | en | code | 0 | github-code | 90 |
15863486576 | '''
Created on Mar 8, 2020
@author: ballance
'''
import os
from typing import Set
class RunCtxt(object):
"""Collects information about what is being run"""
def __init__(self):
self.rundir = None
self.launch_dir = None
self.project_cfg = None
self.engine = None
self... | fvutils/testsuite-runner | src/tsr/run_ctxt.py | run_ctxt.py | py | 1,268 | python | en | code | 1 | github-code | 90 |
18072337119 | from math import factorial
h, w, a, b = map(int, input().split())
MOD = 10**9+7
fact = [1]
# 累積乗を作る
for i in range(1, h+w-1):
fact.append(fact[-1] * i % MOD)
# 累積乗の逆元
inv_fact = [pow(fact[-1], MOD-2, MOD)] # x^(-1) = x^(10^9+5) % (10^9+7), フェルマーの小定理
for i in range(h+w-2, 0, -1): # xが最大の場合を求め、後ろ向きに計算していく
inv... | Aasthaengg/IBMdataset | Python_codes/p04046/s184490188.py | s184490188.py | py | 705 | python | ja | code | 0 | github-code | 90 |
16947863161 | """
Count the number of prime numbers less than a non-negative number, n.
"""
class Solution(object):
def countPrimes(self, n):
"""
:type n: int
:rtype: int
"""
if n < 2:
return 0
sieve = [True] * n
sieve[0] = False
sieve[1] = False
... | iamsuman/algorithms | iv/Leetcode/easy/204_count_primes.py | 204_count_primes.py | py | 653 | python | en | code | 2 | github-code | 90 |
35480287371 | def month_name(month, language):
eng_months = { # можно было просто через список и искать по индексу
'1': 'january',
'2': 'february',
'3': 'march',
'4': 'april',
'5': 'may',
'6': 'june',
'7': 'july',
'8': 'august',
'9': 'september',
'1... | VladaLukovskaya/Python | lesson19_return_in_functions/month_name.py | month_name.py | py | 1,078 | python | ru | code | 0 | github-code | 90 |
830381150 | import requests
import send_email
topic = 'tesla'
# Define API key and url of info from NewsAPI along with different parameters of API
api_key = "48f8f6d6299f4890a1a651935f6ae891"
url = f"https://newsapi.org/v2/everything?q={topic}&" \
"sortBy=publishedAt&" \
"apiKey=48f8f6d6299f4890a1a651935f6ae891&" \
... | Odinroast/App5-simplewebapi- | main.py | main.py | py | 994 | python | en | code | 0 | github-code | 90 |
10024747505 | import numpy as np
import tensorflow as tf
from helpers import *
def submission_per_patch(session, graph, images, img_number, window_size, patch_size=16, stride=16, threshold=0.5):
'''
:param session: Give a tensorflow session to be run on.
:param graph: Give a default graph
:param images: test... | KennethThNg/RoadSegmentation | restore_submission.py | restore_submission.py | py | 4,182 | python | en | code | 0 | github-code | 90 |
26317636194 | import logging
from semantic_kernel.orchestration.sk_context import SKContext
from semantic_kernel.skill_definition import sk_function, sk_function_context_parameter
from gptui.gptui_kernel.manager import auto_init_params
mylogger = logging.getLogger("mylogger")
class WriteFile:
def __init__(self, manager):
... | happyapplehorse/gptui | tests/unit_tests/gptui_kernel/plugins_test_data/FileIO.py | FileIO.py | py | 1,090 | python | en | code | 3 | github-code | 90 |
70591359658 | from index import db, bcrypt
import networkx as nx
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
from collections import Counter
import operator
# class User(db.Model):
# id = db.Column(db.Integer(), primary_key=True)
# email = db.Column(db.String(255), unique=True)
# password =... | kajdanowicz/priorityAttachmentWeb | application/models.py | models.py | py | 10,679 | python | en | code | 0 | github-code | 90 |
20732862712 | from record import Record
# work with file to save records
class fileWork:
def __init__(self, name):
self.name = name
self.setRecord()
# cancel current records and write to the file
def zeroFile(self):
with open(self.name, "w") as inFile:
for i in range(0, 3):
... | VladTkach/Saper_Qt | fileWork.py | fileWork.py | py | 1,319 | python | en | code | 0 | github-code | 90 |
72683018858 | # 4 folds of OOF and a submission using Catboost by Yandex
import numpy as np
import pandas as pd
from scipy import sparse
from sklearn.model_selection import KFold
import csv
from catboost import CatBoostRegressor
pth = '../'
out_pth = '../OOF/Catboost6000/'
with open(pth + 'sparse-features/fnames.csv', 'r') as csv... | knstmrd/avitodemandprediction | catboost_CV.py | catboost_CV.py | py | 2,443 | python | en | code | 0 | github-code | 90 |
29462929523 | class aerospace: #creating a class that defines features all aerospace vehicles may have.
vehicle_name = ""
vehicle_model = ""
vehicle_year = ""
engine_thrust = ""
exit_velocity = ""
reusablity = ""
def aerospace1(self):
make = input("please enter make of the aerospace vehicle\n>>>... | taekionic/Python_Projects | Learning Files/parent-child classes.py | parent-child classes.py | py | 2,787 | python | en | code | 0 | github-code | 90 |
13662219152 | import pytest
from random_name_generator.constants import Descent, Sex
@pytest.fixture
def mock_first_names(monkeypatch):
first_names = {
Descent.ENGLISH: {
Sex.MALE: [
'John',
'Joseph'
],
Sex.FEMALE: [
'Ashley'
... | diachkow/python-random-name-generator | tests/conftest.py | conftest.py | py | 2,000 | python | en | code | 1 | github-code | 90 |
28230799233 | '''
Модуль для работы с внутриигровыми объектами.
К оным относятся игрок и мобы.
'''
import json
def get_object(name):
'''
Возвращает игровой объект типа name : string в виде словаря:
'name' : string -- название игрового объекта.
'max hp' : int -- максимальный запас здоровья.
'hp' : in... | Mirovengil/RadZombie | class_object.py | class_object.py | py | 833 | python | ru | code | 0 | github-code | 90 |
340604860 | """
問題URL:
"""
import math
import sys
from collections import deque
from typing import Union, List
INF = 2 * 10 ** 14
CONST = 998244353
global g
global yen_dist
global snk_dist
global q
class Edge(object):
def __init__(self, to, yen, snk):
self.to = to
self.yen = yen
self.snk = snk
... | ktaroabobon/AtCoder | 練習問題/graph/Dijkstra/soundhound_2018summer_D.py | soundhound_2018summer_D.py | py | 3,755 | python | en | code | 0 | github-code | 90 |
42642339817 | import cv2
import os
import argparse
import numpy as np
from detection.core.detector_factory import get_detector
from detection.tensorpacks.viz import draw_final_outputs
def pick_best_faces(detection_results, num):
if len(detection_results) == 0:
return []
# Trivial solution: just pick the largest f... | houweidong/models | detection/dataset/gen_face_bbox.py | gen_face_bbox.py | py | 6,275 | python | en | code | 0 | github-code | 90 |
32484673860 | from django.conf.urls import patterns, include, url
from group2 import views
urlpatterns = patterns('',
url(r'^profile/$', views.profile, name='profile'),
url(r'^dataStudent/$', views.data_student, name='data_student'),
url(r'^dataStudentEdit/$', views.data_student_edit, name='data_student_edit'),
... | tachagon/DB_Project | group2/urls.py | urls.py | py | 3,482 | python | en | code | 0 | github-code | 90 |
9051287540 | import mxnet as mx
import numbers
import os
import numpy as np
import torch
import cv2
from torch.utils.data import Dataset
from torchvision import transforms
from s_data.MaskTheFace.augment_mask import AugmentMask
default_trans_list = [
transforms.Resize((112, 112)),
transforms.RandomHorizontalFlip(p=0.5),
... | iChenning/face_project | s_data/dataset_mx.py | dataset_mx.py | py | 2,087 | python | en | code | 2 | github-code | 90 |
42210199235 | from pointraing import db
from flask import render_template, url_for, redirect, request, flash, abort, send_from_directory, current_app, Blueprint
from flask_login import current_user, login_required
from pointraing.students.forms import StudentActivityForm
from pointraing.models import Attendance, ActivityType, RateAc... | sumluxgirl/flaskProject | pointraing/students/routes.py | routes.py | py | 7,148 | python | en | code | 0 | github-code | 90 |
8059893419 | import telebot
import os
import inspect
import sys
from PIL import Image
import face_recognition
import numpy as np
from io import BytesIO
import random
import sqlite3
bot = telebot.TeleBot("2147259007:AAEVsREyP6oCv5-YCxIyk45DyoTtW-4ui1s", parse_mode=None)
ORDINATA = ['Ars longa, vita brevis.',
... | yamaha3212/TelegramBot | BorschevickBot.py | BorschevickBot.py | py | 4,198 | python | en | code | 0 | github-code | 90 |
17932634580 | import torch
from torch.optim import Optimizer
#Custom Adam Optimizer - extension of Optimizer class
class CustomAdam(Optimizer):
"""
A custom implementation of the Adam optimizer. Defaults used are as recommended in https://arxiv.org/abs/1412.6980
See the paper or visit Optimizer_Experimentation.ipy... | thetechdude124/Adam-Optimization-From-Scratch | CustomAdam.py | CustomAdam.py | py | 4,870 | python | en | code | 4 | github-code | 90 |
71996842858 | # def solve(string):
# for i in range (0, len(string)):
# if (string[i] == string[i + 1]):
# return True
# return False
# s = "afternoon"
# print(solve(s))
mySet = set()
def testFunction(ok, i):
if i <= 5:
ok.add(i)
testFunction(ok,i + 1)
testFunction(mySet, 0)
print(mySet) | limzhanrong/DSA | test.py | test.py | py | 317 | python | en | code | 0 | github-code | 90 |
17952780069 | N=int(input())
A = [list(map(int, input().split())) for i in range(N)]
result=0
flag=True
isbreak=False
for m in range(N-1):
for n in range(m+1,N):
list_t=list(range(N))
list_t.remove(m)
list_t.remove(n)
for t in list_t:
if A[m][n]>A[m][t]+A[t][n]:
result=... | Aasthaengg/IBMdataset | Python_codes/p03600/s021799714.py | s021799714.py | py | 675 | python | en | code | 0 | github-code | 90 |
25915898301 | n1 = float(input(('Primiro valor:')))
n2 = float(input('Segundo valor:'))
opcao = maior = 0
while opcao != 5:
print(''' [1] somar
[2] multiplicar
[3] maior valor
[4] novos numeros
[5] sair''')
opcao = int(input('Qual é a sua opção ?'))
if opcao == 1:
print('{} + {} = {}'.format(n1,... | celycodes/curso-python-exercicios | exercicios/ex059.py | ex059.py | py | 939 | python | pt | code | 2 | github-code | 90 |
31676541287 | ''' VAE model traning for MD data set
# the reference for the originial code:
Kingma, Diederik P., and Max Welling.
"Auto-Encoding Variational Bayes."
https://arxiv.org/abs/1312.6114
Michael Feig, Bercem Dutagaci
Michigan State University
2022
bioRxiv:
'''
from __future__ import absolute_import
from __... | bercemd/PolII-mutants | ml_md_vae_training.py | ml_md_vae_training.py | py | 6,884 | python | en | code | 0 | github-code | 90 |
13118002639 | """This module contains all of the endpoints for the api."""
from http import HTTPStatus
from flask import Blueprint, jsonify, request
from flask_restful import Api
from flask_jwt_extended import verify_jwt_in_request
from app.api.resources import (
ArtistAPI,
ArtistListAPI,
ArtistByNameAPI,
VenueAPI,... | EricMontague/MailChimp-Newsletter-Project | server/app/api/views.py | views.py | py | 3,215 | python | en | code | 0 | github-code | 90 |
19272389075 |
# JOB: open file, get sum of squares of numbers in file
# ----------------------------------------------------------------------------
def isInteger(val):
""" Returns true if string val is an integer.
Note: having floats in strings throws value error.
Arguments:
val = value to check if integer
... | statisticallyfit/Python | pythonlanguagetutorials/PythonTutorial/JohnZelle_PythonProgramming/Chapter6_Functions/ex14_squareNumbersFromFile.py | ex14_squareNumbersFromFile.py | py | 1,670 | python | en | code | 0 | github-code | 90 |
2657447984 | """Drop output file type from database.
Revision ID: cd0fd4a20457
Revises: 41608b05c0b1
Create Date: 2022-04-06 21:51:27.162113
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "cd0fd4a20457"
down_revision = "41608b05c0b... | opendatalabcz/traffic-surveys-automation | backend/migrations/versions/2022-04-06-21-51-cd0fd4a20457_drop_output_file_.py | 2022-04-06-21-51-cd0fd4a20457_drop_output_file_.py | py | 735 | python | en | code | 3 | github-code | 90 |
10117337229 | import csv
def lecture(text):
'''
Renvoie une table à partir du fichier csv
param : fichier : csv file
return : list
>>> lecture('pokemon.csv')[0]
['Clic', '60', '80', '95', '50', 'Acier']
'''
file=open(text,'r')
table=[]
for ligne in file:
table.append(ligne.rstrip().sp... | VLesieux/NSI-Premiere | Projet_7_Pokemon/correction_projet_pokemon.py | correction_projet_pokemon.py | py | 2,858 | python | fr | code | 1 | github-code | 90 |
24715359292 | #!/usr/bin/env python3
import os
import sys
import re
import requests
import shutil
import subprocess
from time import sleep
URL_WHITELIST = "https://static.fclaude.net/whitelist-master.txt"
URL_SUBDOM = "https://static.fclaude.net/whitelist-subdoms.txt"
URL_IPADDR = "https://static.fclaude.net/whitelist-ipaddr... | francois-claude/tracker_ip_finder | resolv.py | resolv.py | py | 5,442 | python | en | code | 0 | github-code | 90 |
73979163495 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path("login", views.login_view, name="login"),
path("logout", views.logout_view, name="logout"),
path("register", views.register, name="register"),
path('gallery', views.gallery, name='gallery'),
... | xuche123/capstone | imagine/urls.py | urls.py | py | 836 | python | en | code | 0 | github-code | 90 |
38736699070 | import cv2
import numpy as np
import torch
#---CLAHE transform---
def clahe(img, clip_limit=2.0, tile_grid_size=(8, 8)):
if img.dtype != np.uint8:
raise TypeError("clahe supports only uint8 inputs")
clahe_mat = cv2.createCLAHE(clipLimit=clip_limit, tileGridSize=tile_grid_size)
if len(i... | pjirayu/STOS | utils/transform_img.py | transform_img.py | py | 4,708 | python | en | code | 1 | github-code | 90 |
25494840664 |
import json
import requests
from elasticsearch import Elasticsearch
es = Elasticsearch(hosts=["http://127.0.0.1:9200"])
headers = {
"Content-Type": "application/json",
"Authorization": "JWT eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJlbWFpbCI6IiIsImV4cCI6MTUxNzU4ODQ4OCwidXNlcl9pZCI6MSwidXNlcm5hbWUiOiJsaXNpIn0.... | open-cmdb/cmdb | apps/c_test/test/test-6.py | test-6.py | py | 717 | python | en | code | 966 | github-code | 90 |
22597710518 | import requests
from apiclient.discovery import build
from apiclient.errors import HttpError
class LelKekBot:
def __init__(self,token):
self.token = token
self.apiUrl = "https://api.telegram.org/bot{}/".format(token)
def getUpdates(self,offset=None, timeout = 30):
method = 'getUpdate... | Kilotary/lel | lolkekbot.py | lolkekbot.py | py | 2,444 | python | en | code | 0 | github-code | 90 |
13029472045 | # 3'. Задайте список из вещественных чисел.
# Напишите программу, которая найдёт разницу между максимальным и минимальным значением дробной части элементов.
# *Пример:*
# - [1.1, 1.2, 3.1, 5, 10.01] => 0.19
from os import system
from random import randint
import random
system("cls")
n = int(input(" сколько в сап... | AH1N/PythonHomeWork | HW_3_28.11.2022.py | HW_3_28.11.2022.py | py | 1,025 | python | ru | code | 0 | github-code | 90 |
13087678350 | import json
from twisted.internet import reactor
from binance.websocket.binance_socket_manager import BinanceSocketManager
class BinanceWebsocketClient(BinanceSocketManager):
def __init__(self, stream_url):
super().__init__(stream_url)
def stop(self):
try:
self.close()
fin... | June911/WithdrawFromBinance | binance/websocket/websocket_client.py | websocket_client.py | py | 2,166 | python | en | code | 5 | github-code | 90 |
18344592019 | from itertools import accumulate
N, K = map(int, input().split())
S = input()
q = []
pre = S[0]
ans = cnt = 0
for s in S:
if pre != s:
q.append(cnt)
cnt = 1
pre = s
else:
cnt += 1
q.append(cnt)
J = 2*K+1
acc = list(accumulate(q))
acc += [acc[-1]]
if len(q) <= J:
ans = acc[-... | Aasthaengg/IBMdataset | Python_codes/p02918/s453647133.py | s453647133.py | py | 593 | python | en | code | 0 | github-code | 90 |
9342415473 | '''
Description: https://blog.csdn.net/weixin_44128857/article/details/117445420
Author: HCQ
Company(School): UCAS
Email: 1756260160@qq.com
Date: 2021-08-03 12:41:16
LastEditTime: 2021-10-17 20:29:10
FilePath: /PCDet/pcdet/datasets/huituo/robosense/robosense_dataset.py
'''
import numpy as np
import copy
import pickle
i... | HuangCongQing/pcdet-note | pcdet/datasets/huituo/robosense/robosense_dataset.py | robosense_dataset.py | py | 28,527 | python | en | code | 45 | github-code | 90 |
19131016125 | import os
# readFile and WriteFile from
# http://www.cs.cmu.edu/~112/notes/notes-strings.html
def readFile(path):
with open(path, "rt") as f:
return f.read()
def writeFile(path, contents):
with open(path, "wt") as f:
f.write(contents)
def findConfig():
# Find the Euro Truck Simulator ... | eh8/jalopy | jalopy/changeSettings.py | changeSettings.py | py | 2,466 | python | en | code | 2 | github-code | 90 |
18592717619 | #HarshadNumber
n = int(input())
def hrsh(x):
s = 0
while x > 10:
s += x % 10
x = x//10
s += x
return s
f = hrsh(n)
#print(f)
if n % f == 0:
print('Yes')
else:
print('No') | Aasthaengg/IBMdataset | Python_codes/p03502/s875164548.py | s875164548.py | py | 190 | python | en | code | 0 | github-code | 90 |
37762251953 | from django.urls import path
from . import views
app_name = "api"
urlpatterns = [
path('/home', views.home, name='home'),
path('/search_links', views.get_links, name='links'),
path('/search_images', views.get_images, name='images'),
path('/search_pdfs', views.get_pdfs, name='pdfs')
] | Harikrishnan2004/Google_search_api | google_seo_api/urls.py | urls.py | py | 312 | python | en | code | 0 | github-code | 90 |
72211279338 | N = int(input())
arr = list(map(int, input().split()))
arr_tmp = list(set(arr))
result = []
dict_tmp = dict()
arr_tmp.sort()
tmp = 0
for num in arr_tmp:
dict_tmp[num] = tmp
tmp += 1
for num in arr:
result.append(dict_tmp[num])
print(*result) | khyunchoi/Algo | Boj/python/18870.py | 18870.py | py | 257 | python | en | code | 0 | github-code | 90 |
41423339336 | from flask import Flask, render_template, Response
import numpy as np
import cv2
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import tensorflow as tf
app = Flask(__name__)
@app.route("/")
def index():
"""Video streaming home page."""
return render_template("index.html")
net = tf.keras.models.load_m... | sasuke-ss1/LDR_NET | app.py | app.py | py | 1,648 | python | en | code | 2 | github-code | 90 |
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