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
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
36768435919 | def main():
for i in range(int(input())):
s = input()
if len(s) > 10:
print(f"{s[0]}{len(s)-2}{s[-1]}")
else:
print(s)
if __name__ == '__main__':
main()
| arbkm22/Codeforces-Problemset-Solution | Python/WayTooLongWords.py | WayTooLongWords.py | py | 211 | python | en | code | 0 | github-code | 6 |
16708430730 | import networkx as nx
import matplotlib.pyplot as plt
import pandas as pd
# nodes=['A','B','C','D','E','F','1']
dataset = pd.read_csv("./topology.csv", header=None)
lenth = dataset.shape[0]
G=nx.Graph()
edges=[]
for i in range(lenth):
edges.append((dataset.values[i, 0], dataset.values[i, 1]))
r=G.... | GAVIN-YAN/FinTechauthon2022 | topology/topology.py | topology.py | py | 712 | python | en | code | 0 | github-code | 6 |
7859737668 | liste_mois = [
('janvier', 31),
('fevrier', 28),
('mars', 31),
('avril', 30),
('mai', 31),
('juin', 30),
('juillet', 31),
('aout', 31),
('septembre', 30),
('octobre', 31),
('novembre', 30),
('decembre', 31)
]
calendrier = []
for nom_mois, nb_jours in liste_mois:
for ... | mercator-ocean/python-notes | exercices/makina/syntaxe-bases/calendrier_1.py | calendrier_1.py | py | 473 | python | fr | code | 0 | github-code | 6 |
26529327586 | #유기농 배추
from collections import deque
def bfs(x,y):
queue = deque()
queue.append((x,y))
graph[x][y] = 0
while queue:
x, y = queue.popleft()
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if 0<=nx<n and 0<=ny<m and graph[nx][ny] == 1:
... | Jaeheon-So/baekjoon-algorithm | DFS, BFS/1012.py | 1012.py | py | 822 | python | en | code | 0 | github-code | 6 |
31536399436 | from project.hardware.heavy_hardware import HeavyHardware
from project.hardware.power_hardware import PowerHardware
from project.software.express_software import ExpressSoftware
from project.software.light_software import LightSoftware
class System:
_hardware = []
_software = []
@staticmethod
def reg... | iliyan-pigeon/Soft-uni-Courses | pythonProjectOOP/project/system.py | system.py | py | 4,537 | python | en | code | 0 | github-code | 6 |
41457482585 | from sqlite3 import IntegrityError, Connection
import schema
from flask import g
from flask import request
from flask import Blueprint
from flask.views import MethodView
from werkzeug.exceptions import abort
from flaskr import settings
from flaskr.utils.auth import login_required
from flaskr.utils.db import get_db, g... | MioYvo/unlimited-level-messages | backend/flaskr/views/post.py | post.py | py | 5,566 | python | en | code | 0 | github-code | 6 |
18100605374 | """
https://leetcode.com/problems/maximum-ice-cream-bars/
1833. Maximum Ice Cream Bars
It is a sweltering summer day, and a boy wants to buy some ice cream bars.
At the store, there are n ice cream bars. You are given an array costs of length n, where costs[i] is the price of the ith ice cream bar in coins. The boy in... | hirotake111/leetcode_diary | leetcode/1833/solution.py | solution.py | py | 1,538 | python | en | code | 0 | github-code | 6 |
7869115009 | import math
# 入力
A, B, H, M = map(float, input().split())
# 座標を求める
PI = 3.14159265358979
AngleH = 30.0 * H + 0.5 * M
AngleM = 6.0 * M
Hx = A * math.cos(AngleH * PI / 180.0)
Hy = A * math.sin(AngleH * PI / 180.0)
Mx = B * math.cos(AngleM * PI / 180.0)
My = B * math.sin(AngleM * PI / 180.0)
# 答えを出力
d = ... | E869120/math-algorithm-book | editorial/chap4-1/prob4-1-4.py | prob4-1-4.py | py | 408 | python | en | code | 897 | github-code | 6 |
5026987486 | # -*- coding:utf-8 -*-
my_name = "分数"
import pygame
pygame.init()
my_font = pygame.font.SysFont("simSun", 66)
name_surface = my_font.render(u'分数', True, (0, 0, 0), (255, 255, 255))
pygame.image.save(name_surface, "name.png")
enemy_hit_dict = dict()
score = 0
ENEMY_SCORE = 100
# enemy_hit_dict = pygame.sprite.grou... | xinlongOB/python_docment | 飞机大战/字体.py | 字体.py | py | 737 | python | en | code | 0 | github-code | 6 |
17961314485 | from urllib import request, parse
import json
from getAccessToken import getToken
def newNotification(filename, touser, key1, key2, key3, key4, first, remark):
ACCESS_TOKEN = getToken()
url = 'https://api.weixin.qq.com/cgi-bin/message/template/send?access_token=ACCESS_TOKEN'
url = url.replace('ACCESS_TOKEN... | pkugeeklab/wx-server | notification/newNotification.py | newNotification.py | py | 708 | python | en | code | 0 | github-code | 6 |
14816787756 | """web URL Configuration"""
from django.conf.urls import include,url
from django.contrib import admin
from . import views
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^$', views.index, name='index'),
url(r'^pdx/(?P<pk>\w{0,50})/$', views.pdx, name="pdx"),
url(r'^search/', views.search, name="... | jmason-ebi/pdx | web/urls.py | urls.py | py | 442 | python | en | code | 0 | github-code | 6 |
9460034812 | """
Запуск класса с датасетами твитов и генома ВИЧ
"""
import Hyperbolic
import numpy as np
import Levenshtein as Lev
import pandas as pd
from grad_descent import MSE
import draw
"""
ТВИТЫ
"""
positive = np.array(pd.read_csv(
r'twitter_data/positive.csv', sep=';', usecols=[3], names=['text']))
negative = np.arra... | DanilShishkin/Hyperbolic | actual/main.py | main.py | py | 2,184 | python | en | code | 1 | github-code | 6 |
22251514739 | import time
def isprime(n):
mas = []
d = 1
while d * d < n:
if n % d == 0:
mas.append(d)
mas.append(n // d)
d += 1
if d * d == n:
mas.append(d)
if len(mas) == 2:
return mas[1]
def g(n):
counter = 0
mas = []
d = 2
while d * d... | MakinFantasy/xo | 25/hw/2_correct.py | 2_correct.py | py | 775 | python | en | code | 0 | github-code | 6 |
14070127148 | import math
import numpy as np
from scipy.special import expit
class LogReg():
def __init__(self, lambda_1=0.0, lambda_2=1.0, gd_type='full',
tolerance=1e-4, max_iter=1000, w0=None, alpha=1e-3):
"""
lambda_1: L1 regularization param
lambda_2: L2 regularization param
... | idStep/hse_ml | logreg.py | logreg.py | py | 2,793 | python | en | code | 0 | github-code | 6 |
651508757 | from . learningTasks import RandomForest
import os
import luigi
import numpy as np
import logging
# import the proper nifty version
try:
import nifty.graph.rag as nrag
except ImportError:
try:
import nifty_with_cplex.graph.rag as nrag
except ImportError:
import nifty_with_gurobi.graph.rag ... | constantinpape/mc_luigi | mc_luigi/defectRandomForests.py | defectRandomForests.py | py | 4,204 | python | en | code | 0 | github-code | 6 |
31360177466 | #Long Short-Term Memory
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense, Dropout, LSTM
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
dataset_train = pd.read_csv('files/Salestrain.cs... | francinehahn/ai-and-machine-learning | detectingAnomalies/LSTM.py | LSTM.py | py | 4,027 | python | en | code | 0 | github-code | 6 |
39220567289 | from sklearn.preprocessing import StandardScaler
file_name2 = 'data2.csv'
df = pd.read_csv(file_name2)
df['race_date'] = pd.to_datetime(df['race_date']).dt.date
# 情報不足行を削除
df = df.dropna(subset=['past_time_sec1', 'past_time_sec2', 'past_time_sec3',
'past_time_sec4', 'past_time_sec5']).reset_index... | keisukee/horse_racing | normalize_3.py | normalize_3.py | py | 2,492 | python | en | code | 1 | github-code | 6 |
71484383548 | A, K = map(int, input().split())
ans = A
for i in range(len(str(A))):
for p in range(10):
for q in range(10):
s = str(A)[:i] + str(p) + str(q) * (len(str(A))-i-1)
if (len(set(str(int(s)))) <= K):
ans = min(ans, abs(A-int(s)))
print(ans)
| knuu/competitive-programming | atcoder/corp/codefes2014qa_d.py | codefes2014qa_d.py | py | 290 | python | en | code | 1 | github-code | 6 |
39922767694 | # THIS FILE IS SAFE TO EDIT. It will not be overwritten when rerunning go-raml.
from flask import jsonify, request
import sqlite3
def books_postHandler():
connection = sqlite3.connect("BookStore")
cursor=connection.cursor()
inputs = request.get_json()
cursor.execute("CREATE TABLE IF NOT EXISTS BookSt... | BolaNasr/BookStore-API | server/handlers/books_postHandler.py | books_postHandler.py | py | 608 | python | en | code | 0 | github-code | 6 |
21509830674 | import pickle
import numpy as np
referrence_vec = {} ## list of numpy average vectors to compare with
synonym_dict={}
names=["safety","products and services","technical skills","soft skills","orientation","onboarding"]
synonym_dict["safety"] = ["safety", "wellbeing","welfare","security"]
synonym_dict["products and se... | yashbhtngr/employee-training-chatbot | comparision_vectors.py | comparision_vectors.py | py | 1,110 | python | en | code | 0 | github-code | 6 |
32592778621 | import geoip2.database
"""
Requirements:
geoip2
use this page to download the db:
https://dev.maxmind.com/geoip/geolite2-free-geolocation-data?lang=en
"""
# This creates a Reader object. You should use the same object
# across multiple requests as creation of it is expensive.
with geoip2.database.Reader('... | steriospydev/tutools | Functions/get_ip_location.py | get_ip_location.py | py | 927 | python | en | code | 0 | github-code | 6 |
42602524063 | #!/usr/bin/env python
import numpy as np
from subprocess import call
from ase.io import read
def argparse():
import argparse
parser = argparse.ArgumentParser(description = """
This code will give you the (Total/Partial) Raidial Distribution Function.
Return npy file.
""")
# Positional arguments... | hitergelei/tools | ase_rdf.py | ase_rdf.py | py | 14,474 | python | en | code | 0 | github-code | 6 |
10506264622 | """
a very simple MNIST classifier
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
FLAGS = None
def main(_):
#import data
mnist = input_d... | RuanYB/tensorflow | mnist.py | mnist.py | py | 1,897 | python | en | code | 0 | github-code | 6 |
26889693373 | import cv2
import numpy as np
import matplotlib.pyplot as plt
def viz2(img, regions, rooms, all_ctrs):
all_ctrs_img = np.zeros((img.shape[0], img.shape[1], 3), np.uint8)
cv2.drawContours(all_ctrs_img, all_ctrs, -1, (0, 255, 0), 3)
filtered_ctrs_img = np.zeros((img.shape[0], img.shape[1], 3), np.uint8)
... | jmou/quarks-knit | viz2.py | viz2.py | py | 736 | python | en | code | 0 | github-code | 6 |
34118032788 | # Going to be extremely similar to the staff groups file
from __future__ import print_function
import os.path
import json
from typing import get_type_hints
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from... | Philip-Greyson/D118-Google-Groups-Licensing | doStudentGroups.pyw | doStudentGroups.pyw | pyw | 16,072 | python | en | code | 0 | github-code | 6 |
22858483582 | import sys
CASE_FMT = "{} {}"
def pos(x, y):
if x == -1 and y == -1:
return 0
if x == -1 and y == 0:
return 1
if x == -1 and y == 1:
return 2
if x == 0 and y == -1:
return 3
if x == 0 and y == 0:
return 4
if x == 0 and y == 1:
return 5
if x ... | tivvit/codejam-2018 | Q1/go-gopher/main-final.py | main-final.py | py | 1,158 | python | en | code | 0 | github-code | 6 |
39473494610 | #!/usr/bin/python3
# coding=utf-8
import sys,os
import string
import random
import time
import subprocess
from binascii import unhexlify
random.seed(time.time)
charset=string.ascii_letters+string.ascii_lowercase+string.ascii_uppercase
patchbytes=16
print("You are allowed a maximum patch of {} bytes".format(patchbyt... | Himanshukr000/CTF-DOCKERS | SeasidesCTF/rev/patch/wrapper.py | wrapper.py | py | 1,601 | python | en | code | 25 | github-code | 6 |
5675740119 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function)
import os, re, collections, getpass, functools, click, six, logging, json, threading
import dash
from dash import dcc
from dash import html
import dash_bootstrap_components as dbc
from dash.dependencies i... | meghanstell/SNOWIE | megalodon/web/apps/launch.py | launch.py | py | 9,144 | python | en | code | 0 | github-code | 6 |
40787804441 | '''
Created on Feb 18, 2018
@author: fdunaway
'''
class thermalCalculations:
# Formula to calculate thermal rise rate:
#f(x)=1.11676445E-14 * x^4 - 1.313037E-10 * x^3 + 4.08270207E-07 * x^2 + 0.00141231184 * x + 0.9994399220259089
# takes the number of seconds and returns the temperature rise of the heater.
d... | mrncmoose/smart_controller | pi-code/ThermalPrediction/PredictDeltaTemp.py | PredictDeltaTemp.py | py | 1,200 | python | en | code | 3 | github-code | 6 |
16970226908 | from setuptools import setup
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open("README.md") as f:
long_description = f.read()
version = {}
with open(path.join(here, "emv", "__init__.py")) as fp:
exec(fp.read(), version)
setup(
name="emv",
version=versi... | russss/python-emv | setup.py | setup.py | py | 1,114 | python | en | code | 100 | github-code | 6 |
31014617376 | import numpy as np
import os
import matplotlib.pyplot as plt
import sys
import NeuralTrainerCustoms as ntc
import AdaMod as am
import keras
from keras import backend as K
from keras.models import Sequential, Model
from keras.layers import Input, Layer, Dense, Activation, Embedding, LSTM, Bidirectional, Lambda, conca... | fspring/NeuralArgMining | NeuralModel.py | NeuralModel.py | py | 13,844 | python | en | code | 0 | github-code | 6 |
811362006 | # Rotate List - https://leetcode.com/problems/rotate-list/
'''Given a linked list, rotate the list to the right by k places, where k is non-negative.
Example 1:
Input: 1->2->3->4->5->NULL, k = 2
Output: 4->5->1->2->3->NULL
Explanation:
rotate 1 steps to the right: 5->1->2->3->4->NULL
rotate 2 steps to the right: 4->5... | Saima-Chaity/Leetcode | LinkedList/rotateList.py | rotateList.py | py | 2,414 | python | en | code | 0 | github-code | 6 |
11753378103 | import urllib3
import requests
from bs4 import BeautifulSoup
from csv import writer
import csv
import pandas as pd
url = 'https://www.mubawab.tn/fr/cc/immobilier-a-louer-all:o:i:sc:houses-for-rent:p:' + str(1)
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
lists = soup.find_all('li', clas... | sofienne-chouiekh/Scraping_data_estate_location | test.py | test.py | py | 1,091 | python | en | code | 0 | github-code | 6 |
44999838 | import networkx as nx
import numpy as np
# from GPy.kern import Kern
from functools import reduce
from itertools import product
import copy
# class Ours(Kern):
# def __init__(self, input_dim, G, scale=1., variance = 1,
# active_dims=None, name='ours', K_matrix = None, kern = "linear",
# ... | MichelangeloConserva/CutFunctionKernel | interleaving/our_kernel.py | our_kernel.py | py | 8,950 | python | en | code | 2 | github-code | 6 |
26552265149 | import os
import sys
import subprocess
import concurrent.futures
import tomllib
addon_base_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
files_to_ignore_lower = [
x.lower() for x in ["initSettings.sqf", "initKeybinds.sqf", "XEH_PREP.sqf"]
]
sqfvm_exe = os.path.join(addon_base_path, "sqfvm.ex... | acemod/ACE3 | tools/sqfvmChecker.py | sqfvmChecker.py | py | 3,556 | python | en | code | 966 | github-code | 6 |
33754030058 | #!/usr/bin/env pybricks-micropython
from pybricks.hubs import EV3Brick
from pybricks.ev3devices import (Motor, TouchSensor, ColorSensor,
InfraredSensor, UltrasonicSensor, GyroSensor)
from pybricks.parameters import Port, Stop, Direction, Button, Color
from pybricks.tools import wait, St... | KiroWasHere/Robocup-2023 | RoboSusa[DEPRECATED]/4BERobocup [DEPRECATED]/main.py | main.py | py | 9,063 | python | en | code | 2 | github-code | 6 |
3709323219 | import pandas as pd
import numpy as np
from cloudservice import get_documenttask, download_doc
from cloudservice import get_doctag, create_doctag, delete_doctag
from cloudservice import create_doctagrel, delete_doctagrel
from cloudservice import change_step
from cloudservice import get_docs_byid, fill_docinfo
from clou... | pengyang486868/PY-read-Document | analysislocal.py | analysislocal.py | py | 8,022 | python | en | code | 0 | github-code | 6 |
30357818911 | from pyface.qt import QtCore, QtGui, is_qt4
from pyface.image_resource import ImageResource
from pyface.timer.api import do_later
from pyface.ui_traits import Image
from traits.api import (
Any,
Bool,
Button,
Dict,
Event,
List,
HasTraits,
Instance,
Int,
Property,
Str,
cac... | enthought/traitsui | traitsui/qt/table_editor.py | table_editor.py | py | 49,857 | python | en | code | 290 | github-code | 6 |
28322769353 | from django.urls import path, include
from . import views
app_name = 'api'
employment = [
path('', views.EmploymentListEmployee.as_view(), name='list'),
]
employee = [
path('<int:pk>/employment/', include((employment, 'employment'))),
]
urlpatterns = [
path('employee/', include((employee, 'employee'))... | crowmurk/mallenom | mallenom/api/urls.py | urls.py | py | 325 | python | en | code | 0 | github-code | 6 |
73883744829 | import os
_, filename = os.path.split('/a/b/c/t.txt')
print(filename)
metro_areas = [
('Tokyo', 'JP', 36.933, (35.689722, 139.691667)),
('Delhi NCR', 'IN', 21.935, (28.613889, 77.208889)),
('Mexico City', 'MX', 20.142, (19.433333, -99.133333)),
('New York-Newark', 'US', 20.104, (40.808611, -74.020386... | yubo-yue/yubo-python | fluentpython/ch02.py | ch02.py | py | 857 | python | en | code | 0 | github-code | 6 |
31141179192 | import transformers
import torch
def shape(structure):
try:
return structure.shape
except AttributeError:
return (f"list[{len(structure)}]", *shape(structure[0]))
short_prompt = """To be or not to"""
long_prompt = """It was the best of times, it was the worst"""
if __name__ == "__main... | jjjmillist/ttc-workbench | scripts/23-05-18@13:50:44.py | 23-05-18@13:50:44.py | py | 2,176 | python | en | code | 0 | github-code | 6 |
728222177 | import string
# Initializing Variables
num_sentences = 0
num_words = 0
the_num_sentences = 0
frequency_the = 0
# Task 0
with open('war_and_peace.txt', 'r') as f: # opening and reading file
for line in f:
line = line.rstrip() # removing the space on right side
num_sentences += lin... | ruchitakatkar04/CNS-project-1 | project1.py | project1.py | py | 2,634 | python | en | code | 0 | github-code | 6 |
31022754626 | import sys
import numpy as np
def compute_class_precision_recall(L,K):
_,L = np.unique(np.array(L),return_inverse=True)
_,K = np.unique(np.array(K),return_inverse=True)
if(len(L) != len(K)):
sys.stderr.write("Labels and clusters are not of the same length.")
sys.exit(1)
num_elements = l... | fspring/NeuralArgMining | b_cubed_measures.py | b_cubed_measures.py | py | 1,672 | python | en | code | 0 | github-code | 6 |
36734211163 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
@author: Pramod Bharadwaj Chandrashekar, Li Liu
@email: pchandrashe3@wisc.edu, liliu@asu.edu
"""
import numpy as np
from sklearn.cluster import KMeans
import scipy.stats as stats
def get_cdf_pval(data):
""" Function for guassian mixture of dat and computing pval... | liliulab/DeepCORE | DeepCORE_attention_util.py | DeepCORE_attention_util.py | py | 1,744 | python | en | code | 0 | github-code | 6 |
74281642429 | '''
Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes p and q as the lowest node in T that has both p and q as descendants (where we allow a node to be a descen... | casanas10/practice_python | Recursion/lca_of_bst.py | lca_of_bst.py | py | 2,292 | python | en | code | 0 | github-code | 6 |
18804693997 | import copy
from typing import Dict, Optional, TypeVar
from pymilvus.exceptions import CollectionNotExistException, ExceptionsMessage
from pymilvus.settings import Config
Index = TypeVar("Index")
Collection = TypeVar("Collection")
class Index:
def __init__(
self,
collection: Collection,
... | milvus-io/pymilvus | pymilvus/orm/index.py | index.py | py | 4,921 | python | en | code | 744 | github-code | 6 |
43585654615 | """fitnesspro URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-ba... | sanjaymurali1910/fitnessclub | fitnesspro/urls.py | urls.py | py | 4,115 | python | en | code | 0 | github-code | 6 |
11946226959 | import sys, os, urllib.request, urllib.error, urllib.parse, logging, pwd
import subprocess, site, cgi, datetime, threading, copy, json
import uuid, time, re
from html import escape # ***MUST COME before `from lxml import html`!***
from collections import defaultdict, OrderedDict
from lxml import html
from lxml.html im... | jcomeauictx/pyturn | myturn.py | myturn.py | py | 32,136 | python | en | code | 0 | github-code | 6 |
27834268107 | #! /usr/bin/python3
import numpy as np
from matplotlib import pyplot as plt
# Simple Euler forward
# Input variables
Q = 10.
b = [20.]
S = 1E-2
D = 2E-2
h_b = 4
intermittency = 1
# Constants
phi = 3.97
g = 9.805
rho_s = 2700.
rho = 1000.
tau_star_crit = 0.0495
# Derived variables
a1 = 1. / h_b
a2 = S**0.7 / ( 2.9 ... | MNiMORPH/OTTAR | examples/standalone-widening-intuitive/transport-limited-width.py | transport-limited-width.py | py | 1,398 | python | en | code | 5 | github-code | 6 |
16832434416 | # 图形画布
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
import matplotlib # 导入图表模块
import matplotlib.pyplot as plt # 导入绘图模块
class PlotCanvas(FigureCanvas):
def __init__(self, parent=None, width=0, height=0, dpi=100):
# 避免中文乱码
matplotlib.rcParams['font.sa... | yunmi02/MyProject | 11/源程序/ticket _analysis/chart.py | chart.py | py | 1,900 | python | zh | code | 1 | github-code | 6 |
33247661764 | import sys
from pathlib import Path
import cv2
import imutils
import numpy as np
FILE = Path(__file__).resolve()
ROOT = FILE.parents[1]
if str(ROOT) not in sys.path:
sys.path.append(str(ROOT))
code_dir_path = ROOT.joinpath("Code")
data_dir_path = ROOT.joinpath("Data")
class BlurTool:
def __init__(self):
... | Beau-Yang/CapstoneProject | Code/blur_tool_version.py | blur_tool_version.py | py | 6,194 | python | en | code | 0 | github-code | 6 |
25499068282 | # -*- coding: utf-8 -*-
__author__ = 'Liang Zhao'
__email__ = 'liangz8@vt.edu'
__version__ = '1.0.0'
import hashlib
import unicodedata
def get_hash_key(x):
return hashlib.sha1(str(x)).hexdigest()
def normalize_str(s):
if isinstance(s, str):
s = s.decode("utf8")
s = unicodedata.normalize("NFKD", s... | klyc0k/EDSFilter | kmethods/warning_format.py | warning_format.py | py | 5,127 | python | en | code | 0 | github-code | 6 |
73966289468 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import requests
import json
#药监总局地址：http://scxk.nmpa.gov.cn:81/xk/
if __name__ == "__main__":
url = 'http://scxk.nmpa.gov.cn:81/xk/itownet/portalAction.do?method=getXkzsList'
user_agent = 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chro... | xjuun/Note | Python/爬虫/code/request基础/06.requests之药监总局相关数据爬取.py | 06.requests之药监总局相关数据爬取.py | py | 1,414 | python | en | code | 0 | github-code | 6 |
33043283636 | import base64
import os
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import login, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import AuthenticationForm, UserCreationForm
from django.core.files.base import ContentFile
... | Vleyked/django-template | dinosaur_app/dinosaurs/views.py | views.py | py | 6,837 | python | en | code | 0 | github-code | 6 |
35987644586 |
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import argopandas as argo
wmos = [4902596, 4902597]
var_names = ['PRES', 'TEMP', 'PSAL', 'DOXY', 'CHLA', 'BBP700']
for wmo in wmos:
ix = argo.float(wmo).synthetic_prof
up = ix.subset_direction('asc')
down = ix.subset_directio... | cgrdn/argo-sci | src/pac-provor/initial_plot.py | initial_plot.py | py | 951 | python | en | code | 0 | github-code | 6 |
3901695878 | from parse import parse
import pygame
from pygame.locals import *
from cube import Cube
from const import *
from pygame.math import Vector3
from utils import *
from drawable_chunk import DrawableChunk
from hero import Hero
from level import *
class Level(pygame.sprite.Sprite):
def __init__(self):
super(... | odrevet/isometric-map | level.py | level.py | py | 5,207 | python | en | code | 0 | github-code | 6 |
71578033787 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Simple check list from AllenNLP repo:
https://github.com/allenai/allennlp/blob/master/setup.py
To create the package for pypi.
1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.
2. Commit these changes with the message: "Release: VERSION... | langfield/asta | setup.py | setup.py | py | 2,854 | python | en | code | 14 | github-code | 6 |
14870918627 | import logging
def initLogging():
# Use simple logging in this file
# See whether I can seperate logging from this program and my library
logging.basicConfig(filename='test_logging.log',level=logging.DEBUG,
format='%(asctime)s %(message)s', datefmt='%Y%m%d-%H%M%S')
logger = logging.getLogger('... | qiuwch/tenon | test/test_logging.py | test_logging.py | py | 934 | python | en | code | 9 | github-code | 6 |
72532713149 | from pathlib import Path
from .code_description import CodeDescriptionParams, CodeDescriptionXLSXDocument
from .dataset_description import (
DatasetDescriptionParams,
DatasetDescriptionXLSXDocument,
)
from .manifest import ManifestXLSXDocument
def write_xlsx_files(
base_path: Path,
dataset_descriptio... | ITISFoundation/osparc-simcore | services/web/server/src/simcore_service_webserver/exporter/_formatter/xlsx/writer.py | writer.py | py | 892 | python | en | code | 35 | github-code | 6 |
16705170564 | from django.shortcuts import render, redirect
from .models import Todo
from .forms import TodoForm
def tasks_list(request):
todos = Todo.objects.all()
context = {'todos': todos}
return render(request, 'tasks_list.html', context)
def add_todo(request):
if request.method == 'POST':
form = Todo... | Chikitonik/DI_Bootcamp | Week_12_PY/Day2/exercises_xp/todo_project/todo_list/todos/views.py | views.py | py | 622 | python | en | code | 0 | github-code | 6 |
31546382074 | from functools import reduce
def main():
# one liner functions
culc_sum = lambda number_list: sum(number_list)
check_palindrome = lambda number: str(number) == str(number)[::-1]
factorial = lambda number: reduce((lambda a, b: a * b), range(1, number + 1))
# check functions
print(culc_sum([1, ... | lidorelias3/Lidor_Elias_Answers | python/One Liners/OneLiners.py | OneLiners.py | py | 437 | python | en | code | 0 | github-code | 6 |
42560466022 | # Sparse Search: Given a sorted array of strings that is interspersed with empty strings, write a
# method to find the location of a given string.
def sparse_search(l, item):
def search(start, end):
mid = start + (end - start) // 2
if l[mid] == "":
radius = 1
while l[mid] ==... | JSchoreels/CrackingTheCodingInterview | Chapter_10_SortingAndSearching/ex_10_5_SparseSearch.py | ex_10_5_SparseSearch.py | py | 1,077 | python | en | code | 0 | github-code | 6 |
1199044805 | import copy
import time
class Krpsim:
def __init__(self, agent, delay, verbose, random=False):
self.inventory = []
self.agent = agent.copy()
self.delay = delay
self.stock = (agent.stock)
self.verbose = verbose
self.random = random
@property
def stock(self):... | jmcheon/krpsim | Krpsim.py | Krpsim.py | py | 5,278 | python | en | code | 0 | github-code | 6 |
24854584741 | # -*- coding: utf-8 -*-
import copy
class Population():
"""
Hold relevant information and bookkeeping functions for a population.
"""
def __init__(self, pop_name, ea_mu, ea_lambda, dmax_init, dmax_overall,
parent_selection, overselection_top, p_m, survival_selection,
t... | dennisgbrown/pacman-competitive-coevolutionary-genetic-programming | code/population.py | population.py | py | 5,791 | python | en | code | 0 | github-code | 6 |
25349797554 | # Juhusliku valiku valimiseks importige arvutisse juhuslik teek
import random
# Valikute loend
options = ["kivi", "paber", "käärid"]
# Funktsioon mängu mängimiseks
def play_game():
# Arvuti teeb juhusliku valiku
computer_choice = random.choice(options)
# Kasutaja teeb valiku
user_choice = input("Vali... | Joosepi/ulesanned | yl22.py | yl22.py | py | 985 | python | et | code | 0 | github-code | 6 |
14177896732 | """Reads parameters of received http request"""
import http.client as http_client
import logging
from typing import Optional
import azure.functions as func
from .custom_error import DownloadBlobError
log = logging.getLogger(name="log." + __name__)
def main(req: func.HttpRequest, params_list: Optional[list] = None)... | wieczorekgrzegorz/ksef-krportal-communication | modules/download_blob/modules/read_params.py | read_params.py | py | 1,531 | python | en | code | 0 | github-code | 6 |
22329982080 | import imp
import discord
from discord.ext import commands
import json
import os
from os import listdir
from os.path import isfile, join
from datetime import datetime
import subprocess
from discordLevelingSystem import DiscordLevelingSystem
import aiosqlite
def micsid(ctx):
return ctx.author.id == 481377376475938... | micfun123/Simplex_bot | cogs/micsid.py | micsid.py | py | 9,632 | python | en | code | 24 | github-code | 6 |
18995573707 | import os
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
from paddleocr import PaddleOCR,draw_ocr
# Paddleocr supports Chinese, English, French, German, Korean and Japanese.
# You can set the parameter `lang` as `ch`, `en`, `fr`, `german`, `korean`, `japan`
# to switch the language model in order.
ocr = PaddleOCR(use_ang... | tota1Noob/autoBookmarkGen4PDF | moduleTryouts/ocrTest.py | ocrTest.py | py | 983 | python | en | code | 1 | github-code | 6 |
73955138107 | from tkinter import *
from PIL import Image, ImageDraw
from src.Model import Model
b1 = "up"
xold, yold = None, None
image1, drawimg = None, None
model = Model()
def create_lines(canv):
canv.create_line(30, 0, 30, 140, smooth=TRUE, fill="red", width="1")
canv.create_line(110, 0, 110, 140, smooth=TRUE, fill="r... | Freyb/LegoAI-homework | src/Gui.py | Gui.py | py | 2,185 | python | en | code | 0 | github-code | 6 |
24133449429 | #!/usr/bin/env python
import argparse
import csv
import logging
import math
import sys
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from pylab import rcParams
def plot_bar(data_fh, target, xlabel, ylabel, zlabel, title, x_label, y_label, x_order, y_order, fig_width, fig... | supernifty/plotme | plotme/bar.py | bar.py | py | 7,407 | python | en | code | 0 | github-code | 6 |
44551517900 | import numpy as np
# this matrix will store the data
labels = np.array ([])
# and this vector will store the labels
points = np.array ([])
# open up the input text file
with open('bc.txt') as f:
#
# read in the lines and init the data and labels
lines = f.readlines ()
labels = np.zeros (len (line... | cjdiaz98/Comp330_HW4 | SVM.py | SVM.py | py | 8,225 | python | en | code | 0 | github-code | 6 |
18520546657 | import tensorflow as tf
class DoubleConvolutionBlock(tf.keras.layers.Layer):
def __init__(self, filter, layer_name):
super(DoubleConvolutionBlock, self).__init__(name="double_conv_3x3_" + layer_name)
self.filter = filter
self.pool = tf.keras.layers.MaxPool2D((2, 2))
self.layers = [... | KushGabani/Biomedical-Image-Segmentation | unet.py | unet.py | py | 3,501 | python | en | code | 1 | github-code | 6 |
22100947365 | import sys
n,k=map(int,sys.stdin.readline().split())
trees=list(map(int,sys.stdin.readline().split()))
start,end=1, max(trees)
while start<=end:
mid=(start+end)//2
sum=0
for i in trees:
if i>=mid:
sum+=i-mid
if sum>=k:
start=mid+1
else:
end=mid-1
print(end)
| dhktjr0204/beakjoon | 이분탐색/2805.py | 2805.py | py | 318 | python | en | code | 0 | github-code | 6 |
24628062484 | import random
sproby=1
Vgadav=False
s=random.randint(1,100)
print('Ia zagadav chyslo. Sprobuy ugadaty ')
a=int(raw_input())
while (sproby<9) and (Vgadav==False) :
sproby=sproby+1
if a>s : print('Zabagato')
if a<s : print('Zamalo')
if a==s : Vgadav=True
else: a=int(raw_input('Sprobuy shche raz, spro... | Nahtigal/PythonStudy | STR2/Rand.py | Rand.py | py | 482 | python | en | code | 0 | github-code | 6 |
38714648302 | from rest_framework import serializers
from .models import Animal
import serializer_company
class AnimalSerializer(serializers.HyperlinkedModelSerializer):
company = serializer_company.CompanySerializer()
class Meta:
model = Animal
fields = [
'id',
'name',
... | pohara9720/lma-python | lma/api/serializer_animal.py | serializer_animal.py | py | 591 | python | en | code | 0 | github-code | 6 |
31126427233 | from gpiozero import DigitalInputDevice
import time
class EncoderCounter(object):
def __init__(self,pin_number,side):
self.side = side
self.test_mode = False
self.pulse_count = 0
self.device = DigitalInputDevice(pin=pin_number)
self.device.pin.when_changed = self.count_pulses
self.previous = ... | gregorianrants/legobot-7 | Encoder.py | Encoder.py | py | 1,404 | python | en | code | 1 | github-code | 6 |
21569497560 | #!/usr/bin/env python
""" Script to:
Extract 3D images from a 4D image and then extract one selected slice
from each of these 3D images and combine them as a gif.
"""
# Author: Bishesh Khanal <bishesh.khanal@inria.fr>
# Asclepios INRIA Sophia Antipolis
import subprocess
import sys
import argparse as ag
import ... | Inria-Asclepios/simul-atrophy | scripts/extractSliceVideoFrom4d.py | extractSliceVideoFrom4d.py | py | 4,284 | python | en | code | 7 | github-code | 6 |
43449602370 | #!/usr/bin/env python3
import re
import json
import urllib.request
import pymysql.cursors
def ipToCountry(ip):
url = 'http://api.ipstack.com/' + ip + '?access_key=dfe38edcd4541577119d91e7053a584a'
data = urllib.request.urlopen(url).read().decode("utf-8")
json_data = json.loads(data)
if not json_data['country_name... | VadimAspirin/usml | back/log_mapper.py | log_mapper.py | py | 9,005 | python | en | code | 0 | github-code | 6 |
9638599695 | # this class to get user information from user input
class GetUserInfor:
def __init__(self):
print("""Welcome to Elena's Flight Clue.\n
We find the best flight deals and email you.
""")
self.first_name = input("What is your first name?\n").rstrip()
self.last_name... | na-lin/100-days-of-Python | day39-Flight-deal-Finder/get_user_information.py | get_user_information.py | py | 769 | python | en | code | 0 | github-code | 6 |
14779367237 | import adsk.fusion
import unittest
# note: load_tests is required for the "pattern" test filtering functionality in loadTestsFromModule in run()
from fscad.test_utils import FscadTestCase, load_tests
from fscad.fscad import *
class Builder2DTest(FscadTestCase):
def test_line_to(self):
builder = Builder2... | JesusFreke/fscad | tests/builder2d_test.py | builder2d_test.py | py | 1,550 | python | en | code | 44 | github-code | 6 |
44083406715 | # -*- coding: utf-8 -*-
## Add uid to data gathered from qMp nodes in GuifiSants
## http://dsg.ac.upc.edu/qmpsu/index.php
## meshmon-format.py
## (c) Llorenç Cerdà-Alabern, May 2020.
## debug: import pdb; pdb.set_trace()
import json
cache = {}
graph = []
tabs = {}
def find_node_by_address(d, k, v):
"""
find ... | llorenc/meshmon-parser | meshmon-format.py | meshmon-format.py | py | 4,474 | python | en | code | 0 | github-code | 6 |
19475609630 | from django.apps import AppConfig
from django.conf import settings
import os
import joblib
class SentimentConfig(AppConfig):
name = 'sentiment'
path = os.path.join(settings.MODELS, 'models.p')
path_emosi = os.path.join(settings.MODELS, 'models_emotion.p')
path_general = os.path.join(settings.MODELS, ... | kholiqcode/skripsi | sentiment/apps.py | apps.py | py | 927 | python | en | code | 0 | github-code | 6 |
40662041520 | import os
from tkinter import *
class AuroraOS:
def __init__(self, master):
self.master = master
master.title("AuroraOS")
# GUI elementy
self.label = Label(master, text="Witaj w AuroraOS!")
self.label.pack()
self.dir_button = Button(master, text="DIR"... | Github673/Moje-Aplikacje | Python/System Operacyjny.py | System Operacyjny.py | py | 3,312 | python | en | code | 1 | github-code | 6 |
7047537895 | # import cv2
#
# videoCapture = cv2.VideoCapture("/home/haoyu/yuhao_video/a827.avi")
#
#
# # fps = videoCapture.get()
# # size = (int(videoCapture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)),
# # int(videoCapture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)))
# #
#
# # videoWriter = cv2.VideoWriter('./data/video_plane.avi',)
... | ylltest/myscripts-github | traffic_lights/new_pil_pd.py | new_pil_pd.py | py | 6,966 | python | en | code | 0 | github-code | 6 |
8201488763 | from flask import render_template, redirect, url_for
from flask_login import login_user, logout_user, current_user
from . import home
from ..models import User, Account, Role, Course
from ..forms import LoginForm, RegisterForm
from sha_training_app import db
import datetime
@home.route('/')
def homepage():
course... | ScottishHD/training_site | sha_training_app/_home/views.py | views.py | py | 2,385 | python | en | code | 0 | github-code | 6 |
19108144876 | import colors
import info
from icon_path import icon_path
from tooltip import Tooltip
from scan_media_window import ScanMediaWindow
from ingest_window import IngestWindow
from open_window import OpenWindow
from info_window import InfoWindow
try:
import tkinter
except ImportError:
import Tkinter as tkinter
clas... | NPS-DEEP/SectorScope | python/menu_view.py | menu_view.py | py | 4,423 | python | en | code | 11 | github-code | 6 |
26038693036 | from __future__ import annotations
import logging
import os
import re
import textwrap
from collections import defaultdict
from dataclasses import dataclass
from pants.backend.codegen.protobuf.protoc import Protoc
from pants.backend.codegen.protobuf.target_types import (
AllProtobufTargets,
ProtobufGrpcToggleF... | pantsbuild/pants | src/python/pants/backend/codegen/protobuf/go/rules.py | rules.py | py | 25,015 | python | en | code | 2,896 | github-code | 6 |
9304520532 | from rest_framework.generics import GenericAPIView
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.permissions import BasePermission
from rest_framework import status
from game.serializers import GameSerializer, TileSerializer, NextMoveSerializer
from game.mode... | earlyche/gomoku | backend/game/views.py | views.py | py | 4,210 | python | en | code | 0 | github-code | 6 |
24922743914 | import time
import os
import sys
SDK_HOME_PATH = os.path.dirname(os.path.abspath(__file__)) + '/../../'
sys.path.append(SDK_HOME_PATH)
up_dir = os.path.dirname(os.path.abspath(__file__)) + '/../'
sys.path.append(up_dir)
from display.lcd import LCD as LCD
from ubo_keypad import * # Might have to revisit this form of ... | ubopod/ubo-sdk | ubo_keypad/examples/keypad_example_scroll.py | keypad_example_scroll.py | py | 2,605 | python | en | code | 1 | github-code | 6 |
71765759867 | """
REPSVM Agresores v3, esquemas de pydantic
"""
from pydantic import BaseModel
from lib.schemas_base import OneBaseOut
class RepsvmAgresorOut(BaseModel):
"""Esquema para entregar agresores"""
id: int | None
distrito_id: int | None
distrito_clave: str | None
distrito_nombre: str | None
dist... | PJECZ/pjecz-plataforma-web-api-new | plataforma_web/v3/repsvm_agresores/schemas.py | schemas.py | py | 824 | python | es | code | 0 | github-code | 6 |
1826616432 | import cv2
import matplotlib.pyplot as plt
import numpy as np
from skimage.measure import label
from skimage.io import imread, imshow
def read_image(url):
imagem = cv2.cvtColor(imread(url), cv2.COLOR_RGB2HSV)
return imagem
def apply_mask(imagem):
x = imagem.shape[0]
y = imagem.shape[1]
mask = np.... | EricaFer/Nudity-Detection | utils/preprocessing.py | preprocessing.py | py | 1,487 | python | pt | code | 0 | github-code | 6 |
70205052348 | import os
import argparse
import sys
import warnings
from pathlib import Path
warnings.filterwarnings('ignore')
import torch
import torchvision as tv
import pytorch_lightning as pl
import webdataset as wds
from resnet_sagemaker.models import ResNet
from resnet_sagemaker.callbacks import PlSageMakerLogger, ProfilerCall... | johnbensnyder/resnet-sagemaker | pytorch/train.py | train.py | py | 4,937 | python | en | code | 2 | github-code | 6 |
72960120187 | import string
def subtract(d1, d2):
res = dict()
for key in d1:
if key not in d2:
res[key] = None
return res
a = open('throughtelescope.txt')
b = open('word1.txt')
#c = subtract(a, b)
#for word in c.keys():
#print(word)
#print(subtract(a, b))
def linecount(filename):
count = 0
for ... | derinsola01/Projects | subtractwords.py | subtractwords.py | py | 414 | python | en | code | 0 | github-code | 6 |
29572346979 | from __future__ import annotations
from typing import TYPE_CHECKING, Any, Literal
from transformers import AutoTokenizer
from partial_tagger.data.collators import TransformerCollator
from partial_tagger.encoders.transformer import (
TransformerModelEncoderFactory,
TransformerModelWithHeadEncoderFactory,
)
fr... | yasufumy/pytorch-partial-tagger | src/partial_tagger/utils.py | utils.py | py | 1,230 | python | en | code | 1 | github-code | 6 |
7672099342 |
import random
class Vertices:
def __init__(self,x,y, volumePedido, valorPedido, qtdPacotes):
self.volumePedido = volumePedido
self.valorPedido = valorPedido
self.qtdPacotes = qtdPacotes
self.x = x
self.y = y
def __str__(self):
return str(self.v) + " " + str(sel... | LuisFelypeFioravanti/TrabalhoGrafos | classes.py | classes.py | py | 736 | python | pt | code | 0 | github-code | 6 |
36721611160 | import torch
from torch import nn
from modules import ConvSC, Inception
# stride를 만들어내는 모듈..
def stride_generator(N, reverse=False):
strides = [1, 2]*10
if reverse: return list(reversed(strides[:N]))
else: return strides[:N]
# N_S개 만큼 Stride를 생성한 후, ConvSC 생성해서
# 총 N_S의 깊이를 가진 Encoder 모듈 생성.
class Encoder... | J-PARK11/Video_Prediction_using_SimVP | model.py | model.py | py | 4,304 | python | en | code | 0 | github-code | 6 |
42442738126 | from django.shortcuts import render
from .models import Twit,Company
import datetime
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views import View
from django.http import HttpResponse,HttpResponseRedirect,Http404
import jdatetime
from django.db.models import Q # new
import datetime
# Create y... | mhsharifi96/sursiz_ir | backend/bors/views.py | views.py | py | 5,221 | python | en | code | 3 | github-code | 6 |
39556012979 | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 12 10:37:33 2018
@author: Gerardo Cervantes
"""
import xml.etree.cElementTree as ET
from src.coordinates import Coordinates
from src.hotkeys import Hotkeys
class SharedPreferences():
COORDINATES_TAG = 'coordinates'
SPLIT_TAG = 'split_key'
RESET_TAG = '... | gcervantes8/Star-Classifier-For-Mario-64 | src/shared_preferences.py | shared_preferences.py | py | 3,050 | python | en | code | 8 | github-code | 6 |
111612310 | import json
f = open('dados.json')
Dados = json.load(f)
Dados = [x for x in Dados if x['valor'] > 0]
menor = float("inf")
#menor faturamento diário
for x in Dados:
atual = x['valor']
if(menor > atual):
menor = atual
print('O menor valor de faturamento ocorrido em um dia do mês foi de ', menor)
#maior fatu... | CaioPyro/Target_Sistemas | Faturamento/main.py | main.py | py | 890 | python | pt | code | 0 | github-code | 6 |
6742136861 | import numpy as np
import cv2
cap = cv2.VideoCapture(0)
faceCascade = cv2.CascadeClassifier("face.xml")
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
gray = frame
# find face
# Detect faces in the image
faces = faceCascade.detectMu... | khanab85/FaceDetectors | start.py | start.py | py | 866 | python | en | code | 0 | github-code | 6 |
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