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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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21946827715 | import datetime
import time
from constants import STARTED
def get_uptime():
delta = datetime.datetime.utcnow() - STARTED
hours, remainder = divmod(int(delta.total_seconds()), 3600)
minutes, seconds = divmod(remainder, 60)
days, hours = divmod(hours, 24)
uptime = ("{} days, {:0=2}:{:0=2}:{:0=2}".for... | iamtakagi-lab/ai | src/uptime.py | uptime.py | py | 452 | python | en | code | 2 | github-code | 13 |
20221311264 | import json
import boto3
import base64
def lambda_handler(event, context):
client = boto3.resource("dynamodb") #Da acesso aos recursos do DynamoDB
table = client.Table("Secrets") #Da acesso a tabela "Secrets"
#Try e Except para capturar e tratar Exceções que possam ocorrer
try:
i... | ayrtonmarinho/getmysecret | back-end/gmsGetSecret/lambda_function.py | lambda_function.py | py | 1,519 | python | pt | code | 0 | github-code | 13 |
23617487370 | from __future__ import unicode_literals
import os
from django.db import models
from django.conf import settings
from django.utils.safestring import mark_safe
from django.template.defaultfilters import truncatechars
from django.db.models.signals import *
from django.dispatch import receiver
# monitoring.tools.pathAnd... | BangHeru/p2kacehtengah | monitoring/submodels/monitoringModels.py | monitoringModels.py | py | 6,309 | python | en | code | 0 | github-code | 13 |
36553240073 |
# 다중분류는 이진분류와 달리 y 레이블의 범주 수가 3개 이상
import warnings
warnings.filterwarnings('ignore')
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data = pd.read_csv('Fvote.csv', encoding='utf-8')
X = data[data.columns[1:13]]
y = data[['parties']]
from sklearn.model_selection import train_test_split
X_t... | reasonmii/ref_DataScience | certificate_BigDataAnalytics/08_multiclassification.py | 08_multiclassification.py | py | 2,783 | python | en | code | 14 | github-code | 13 |
74469111058 | from django.conf.urls import url
from django.views.generic import TemplateView
from . import views
app_name = 'heartrisk'
urlpatterns = [
url(r'^index/', views.index, name='index'),
url(r'^get_probability/', views.get_probability, name='get_probability'),
url(r'^final_probability/', views.final_probability, name='fi... | himanshumangla/hackData | heartrisk/urls.py | urls.py | py | 476 | python | en | code | 0 | github-code | 13 |
17084752434 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.PetProfiles import PetProfiles
class AlipayInsSceneInsassetprodPetprofilelistQueryResponse(AlipayResponse):
def __init__(self):
super(AlipayInsSceneInsas... | alipay/alipay-sdk-python-all | alipay/aop/api/response/AlipayInsSceneInsassetprodPetprofilelistQueryResponse.py | AlipayInsSceneInsassetprodPetprofilelistQueryResponse.py | py | 1,126 | python | en | code | 241 | github-code | 13 |
17636562699 | """
Advent of Code 2022 - Day 3
"""
with open("day3.txt", "r") as file:
input = file.read().split("\n")
input = [(sack[0:len(sack)//2], sack[len(sack)//2:]) for sack in input] #split in half
def getPriority(letter):
"""
Calculate the priority of a letter char
"""
return ord(letter)-ord("... | lab57/Advent-of-Code | day3.py | day3.py | py | 592 | python | en | code | 0 | github-code | 13 |
41719963422 | import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torchvision
from torchvision import datasets
from torch.utils.data import DataLoader
from torchvision.utils import make_grid
transform = transforms.Compose([
transforms.Resize((32,32)),
transforms.ToTensor(),
])
def ... | celestialxevermore/DL_Implementations | Autoencoders/ConvolutionalVAE/dataloaders/data_dataloader.py | data_dataloader.py | py | 1,169 | python | en | code | 0 | github-code | 13 |
29881900000 | import socket
import os
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello World! Hostname: {hostname} | Version: {version}'.format(
hostname=socket.gethostname(),
version=open('./VERSION.md').read().rstrip('\n')
)
if __name__ == '__main_... | michaltrmac/docker-first-steps | example/docker/python-simple-app/src/app.py | app.py | py | 364 | python | en | code | 0 | github-code | 13 |
14880477577 | '''
https://docs.python.org/3/library/collections.html#namedtuple-factory-function-for-tuples-with-named-fields
'''
import collections
import sys
# print(*(i for i in dir(collections) if not i.startswith("_")), sep = "\n")
Point = collections.namedtuple('Point', ['x', 'y']) # Returns a new tuple subclass named Po... | ekomissarov/edu | py-basics/stdlib/namedtuple.py | namedtuple.py | py | 726 | python | en | code | 0 | github-code | 13 |
72569725459 | import cv2
import numpy as np
import matplotlib.pyplot as plt
def create_vert_alpha_matte(dims, f_width, f_location) -> np.ndarray:
"""
dims: (height, width)
f_width: width
f_location: (height, width)
b_width: (height, width)
b_location: (height, width)
"""
mask = np.zeros... | christian-armstrong25/lab-compositing | alpha_blending.py | alpha_blending.py | py | 1,547 | python | en | code | 0 | github-code | 13 |
40857471411 | import pandas as pd
from debal_scrap.models import Debal
def app():
debal = Debal()
group = debal.select_group()
data = list(group.expenses())
df = pd.DataFrame(data)
df.to_csv(input("save as <filename.csv>: "))
| tewfik/debal_scrap | debal_scrap/app.py | app.py | py | 236 | python | en | code | 0 | github-code | 13 |
19505765793 | import spotipy
from sys import argv
from pprint import pprint
from spotipy.oauth2 import SpotifyOAuth
# ###########################
# ON REPEAT PLAYLIST IDS
# ###########################
# OMRI - 37i9dQZF1Epk3rCnDbRzoW
# RYAN - 37i9dQZF1EpjwNta6kRS75
# JACK - 37i9dQZF1EpkeEt7H42BOM
# JORDAN - 37i9dQZF1EprSmFIIwNCNf
# ... | noahgorstein/spotify_scripts | concatenate_playlists.py | concatenate_playlists.py | py | 2,654 | python | en | code | 1 | github-code | 13 |
28363776980 | """Тут код, результаты в result.json"""
import json
import pandas as pd
from yargy import Parser, rule, or_
from yargy.pipelines import morph_pipeline, caseless_pipeline
from yargy.interpretation import fact
from yargy.predicates import in_
data = pd.read_csv('pristavki.csv', header=None, names=['text'])
Game = fac... | OneAdder/compling2019 | hm_yargy/1/extract_games.py | extract_games.py | py | 3,256 | python | en | code | 0 | github-code | 13 |
30902870779 | # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# Finetuning torchvision models for the purpose of predicting
# Tinder swipes, left or right
#
# Based on https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html
#
# Lots of things could be tweaked here:
# - NN ar... | abreu4/wing-man | libido.py | libido.py | py | 12,755 | python | en | code | 0 | github-code | 13 |
25566125873 | size = int(input())
territory = []
alice_position = []
for row in range(size):
territory.append(input().split())
if "A" in territory[row]:
alice_position = [row, territory[row].index("A")]
territory[alice_position[0]][alice_position[1]] = "*"
moves = {
"up": (-1, 0),
"down": (1, 0),... | mustanska/SoftUni | Python_Advanced/Multidimensional Lists/alice_in_wonderland.py | alice_in_wonderland.py | py | 1,122 | python | en | code | 0 | github-code | 13 |
72545300499 | # create by fanfan on 2019/11/14 0014
import tensorflow as tf
from tensorflow.contrib.rnn import GRUCell,LSTMCell,DropoutWrapper,ResidualWrapper,MultiRNNCell
def create_single_cell(num_units,keep_prob,use_residual,cell_type='lstm'):
if cell_type == 'lstm':
cell = LSTMCell(num_units)
else:
cell =... | fanfanfeng/nlp_research | dialog_system/attention_seq2seq/tf_model/encoder.py | encoder.py | py | 2,797 | python | en | code | 8 | github-code | 13 |
32053558525 | """The 4Heat integration switch."""
from __future__ import annotations
# from collections.abc import Callable
from dataclasses import dataclass
from typing import Any
from homeassistant.components.switch import SwitchEntity, SwitchEntityDescription
from homeassistant.config_entries import ConfigEntry
from homeassista... | anastas78/homeassistant-fourheat | custom_components/fourheat/switch.py | switch.py | py | 3,045 | python | en | code | 0 | github-code | 13 |
36223362496 | from cx_Freeze import setup, Executable
executables = [Executable('hrtfmixer.py', base='Win32GUI')]
build_exe_options = {'packages': ['pysofaconventions', 'scipy.spatial', 'matplotlib.pyplot','mpl_toolkits.mplot3d','scipy.signal','numpy','pyaudio','wave','time','pygame'],
'include_files': ['resources/THK_FFHRIR/HRIR_L... | aechoi/hrtfmixer | setup.py | setup.py | py | 501 | python | en | code | 28 | github-code | 13 |
28905150348 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sqlite3
read_file = "../data/twitter_id_append.txt"
f = open(read_file,"r")
# how many program finished
s = 0
sep_point = 0
count = 0
lines = f.readlines()
conn = sqlite3.connect('./sqlite.db')
cur = conn.cursor()
try:
cur.execute("""CREATE TABLE corr2(post_id serial... | pauwau/workspace | get_tweet/old_src/post_comment.py | post_comment.py | py | 2,484 | python | en | code | 0 | github-code | 13 |
17191480786 | def is2k_arr(arr):
sum1 = 0
sum2 = 0
if len(arr) % 2 ==0 :
for i in range(len(arr)//2):
sum1 += int(arr[i])
sum2 += int(arr[len(arr)-i-1])
if sum1 == sum2:
return True
return False
if __name__ == '__main__':
times = int(input())
for i in rang... | yzgqy/myacm | acm/kt3/m1.py | m1.py | py | 927 | python | en | code | 0 | github-code | 13 |
6881894476 | import tkinter as tk
import tkinter.font as tkFont
from Model import Model
from Objective1 import Objective1
from Objective2 import Objective2
from Objective3 import Objective3
from Objective4 import Objective4
from Objective5 import Objective5
from Objective6 import Objective6
class Home:
def __init__(self,roo... | RakshithJKashyap/PySpark | DesktopApp/Home.py | Home.py | py | 4,892 | python | en | code | 0 | github-code | 13 |
41687513952 | import csv
import cv2
import os
import numpy as np
from PIL import Image
import cv2
import imutils
import time
# counting the numbers
def is_number(s):
try:
float(s)
return True
except ValueError:
pass
try:
import unicodedata
unicodedata.num... | SoniyaN/LookBasedMediaPlayer | create_data.py | create_data.py | py | 5,684 | python | en | code | 0 | github-code | 13 |
16816284964 | #!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# NASA Jet Propulsion Laboratory
# California Institute of Technology
# (C) 2008-2011 All Rights Reserved
#
# <LicenseText>
#
# ~~~~~~~~~~~~~~~~~~~... | hysds/hysds | hysds/pymonitoredrunner/commons/thread/AbstractInterruptableThread.py | AbstractInterruptableThread.py | py | 4,981 | python | en | code | 15 | github-code | 13 |
5455497762 | from rest_framework import serializers
from rest_framework.fields import EmailField, CharField
from course.models import Course, Tutor
class TutorSerializer(serializers.ModelSerializer):
name = CharField(allow_blank=True, max_length=254, required=False)
email = EmailField(allow_blank=True, max_length=254,... | adds68/mmu-course-api | api/serializers.py | serializers.py | py | 1,895 | python | en | code | 0 | github-code | 13 |
6699081987 | import base64
import json
import re
import sys
def extract_vmess_info(vmess_address):
"""
Extract information from VMESS address
"""
"""
Regular expression pattern to match the base64-encoded JSON payload
"""
pattern = r"vmess://(.*)"
match = re.match(pattern, vmess_address)
if m... | jayxin/vmess_2_v2ray_config | py/vmess_2_server_info.py | vmess_2_server_info.py | py | 1,435 | python | en | code | 0 | github-code | 13 |
42318394189 | import tornado.web
import sqlite3
import json
import logging
from config import *
from webserver.utils import *
# the read-only sqlite connection for this server
# "?mode=ro" requires the newest sqlite python3.4 wrappers to be enabled
dbcon = sqlite3.connect(DBPREFIX + 'media.db?mode=ro', uri=True)
dbcur = dbcon.curso... | BeamNG/mediashare | webserver/media_ro.py | media_ro.py | py | 2,645 | python | en | code | 0 | github-code | 13 |
20695012191 | # app.py
from flask import Flask, render_template, request, send_file
import cv2
import numpy as np
import io
from boundingBoxDrawer import boundingBoxDrawer
from ensembleModel import ensembleModel
from objDetectionRCNN import objDetectionRCNN
from objDetectionY8 import objDetectionY8
app = Flask(__name__)
@app.rout... | AAchintha97/objDetection | app.py | app.py | py | 1,761 | python | en | code | 0 | github-code | 13 |
35871715038 | from typing import Union, cast
import kachery_p2p as kp
import numpy as np
class VectorField3D:
def __init__(self, arg: Union[dict, str]):
if isinstance(arg, str):
x = kp.load_json(arg)
if not x:
raise Exception(f'Unable to load: {arg}')
arg = cast(dict,... | scratcharchive/surfaceview2 | src/python/surfaceview2/vectorfield3d/vectorfield3d.py | vectorfield3d.py | py | 1,962 | python | en | code | 0 | github-code | 13 |
35230357062 | #!/usr/bin/python3
"""
This is the "5-text_indentation" module
for the Holberton School Higher Level Programming track.
The 5-text_indentation module supplies one function, matrix_divided().
"""
def text_indentation(text):
""" Prints a text with 2 new lines after
each of these characters: ., ? and : """... | fernandogmo/holbertonschool-higher_level_programming | 0x07-python-test_driven_development/5-text_indentation.py | 5-text_indentation.py | py | 686 | python | en | code | 1 | github-code | 13 |
16101328592 | from datetime import datetime
import json
import os
import re
import csv
from lxml import etree
import requests
BASE_URL = 'https://s.weibo.com'
TXT_DIR = './txt'
def getHTML(url, needPretty=False):
''' 获取网页 HTML 返回字符串
Args:
url: str, 网页网址
needPretty: bool, 是否需要美化(开发或测试时可用)
Returns:
... | Runner1027/Weibo_Hot_Search | weibo.py | weibo.py | py | 2,963 | python | en | code | 3 | github-code | 13 |
2625039415 | # -*- coding: utf-8 -*-
import pytz
import datetime
import json
from pyramid.view import view_config
from stalker import db, Project, Status, Budget, BudgetEntry, Good, Entity, \
Type, Studio, StatusList, Task
from stalker.db.session import DBSession
import transaction
from webob import Response
import stalker_... | eoyilmaz/stalker_pyramid | stalker_pyramid/views/budget.py | budget.py | py | 30,411 | python | en | code | 6 | github-code | 13 |
41567798191 | def solution(number, limit, power):
answer = []
for i in range(1, number+1):
count = 0
for j in range(1, int(i**0.5)+1):
if i % j == 0:
if j * j == i:
count +=1
else:
count += 2
answer.append(count)
f... | bnbbbb/Algotithm | 프로그래머스/unrated/136798. 기사단원의 무기/기사단원의 무기.py | 기사단원의 무기.py | py | 436 | python | en | code | 0 | github-code | 13 |
30534620434 | import PyPDF2
with open('dummy.pdf', 'rb') as file:
reader = PyPDF2.PdfFileReader(file) #PyPDF have method .pdfreader to read pdf but it can only read binary
page = reader.getPage(0) #Pypdf needs to know which pdf page to rotate
page.rotateCounterClockwise(180)
writer = PyPDF2.PdfFileWriter()
writer.addPa... | AmanVgit/PDFrotator | PDF_rotator.py | PDF_rotator.py | py | 410 | python | en | code | 0 | github-code | 13 |
40229622635 | #!/usr/bin/env python
# coding: utf8
import math
import numpy as np
import json
import gi
gi.require_version('Gtk', '3.0')
gi.require_version('PangoCairo', '1.0')
from gi.repository import Gio, Gtk, Gdk, GLib
from gi.repository import Pango, PangoCairo
from gi.repository.GdkPixbuf import Pixbuf, PixbufRotation, Inte... | rtgiskard/snake | lib/snakeapp.py | snakeapp.py | py | 30,136 | python | en | code | 0 | github-code | 13 |
31512454451 | import tkinter as tk
from PIL import ImageTk
from camera import Camera
from imageTransformers import IImageTransformer, ImageTransformerBuilder
from imageSavers import IImageSaver
class App:
def __init__(self, title: str, webcam: Camera, default_image_transformer: IImageTransformer, image_saver: IImageTransformer)... | WWykret/Webcam-Image-Transformer | ui.py | ui.py | py | 3,401 | python | en | code | 0 | github-code | 13 |
14549949296 | import re
import pandas as pd
import collections
import nltk
import string
import pickle
import numpy as np
import sys
# Apply the function LIWC_detect to a text. It removes punctuation, tokenizes and matches
# the tokens to LIWC with the help of the star_check function and the nstar_liwc_dict and
# star_liwc_dict. ... | dgarcia-eu/DavidsUsefulScripts | Prosocial_French_Script.py | Prosocial_French_Script.py | py | 2,592 | python | en | code | 3 | github-code | 13 |
16316698257 | # Python
## Part 1
with open("data.txt") as f:
moves = list(map(int, f.read().splitlines()))
def move_numbers(moves: list[int], rounds: int = 1, decryption_key: int = 1) -> int:
decrypted_moves = [m * decryption_key for m in moves]
indices = list(range(len(decrypted_moves)))
for i in indices * rounds... | moritzkoerber/adventofcode | 2022/day20/day20.py | day20.py | py | 667 | python | en | code | 0 | github-code | 13 |
21092013063 | import socket
import pickle
import time
import random
from Send.send_api import *
from Encryption import encryption
from Compression import compression
from Data.data import get_myname, get_myaddr
from Receive import recv
# State graph
DATAKEY = 'data'
CODEKEY = 'code'
METADATA = 'metadata'
def set_data(packet,... | thomaspendock/Wormhole | src/Send/send.py | send.py | py | 2,385 | python | en | code | 0 | github-code | 13 |
33754693001 | ## NAME:
# THREEDtoTWOD.py
## PURPOSE:
# Takes a 3D healpix map and plots the 2D projection centered on a particular RA and dec
# Interactive mode: 2D image rotates (RA changes)
#------------------------------------------------------------------------------------------------
import aipy
impo... | HERA-Team/hera_sandbox | ctc/code/THREEDtoTWOD.py | THREEDtoTWOD.py | py | 1,900 | python | en | code | 1 | github-code | 13 |
28609522123 | #Question Link: https://takeuforward.org/data-structure/remove-n-th-node-from-the-end-of-a-linked-list/
#Solution Link (Python3): https://leetcode.com/submissions/detail/656748126/
class Node:
def __init__ (self, data):
self.data = data
self.next = None
def removeKthNode(head, k):
i... | AbhiWorkswithFlutter/StriverSDESheet-Python3-Solutions | Striver SDE Sheet/Day 5/Remove N-th node from the end of a Linked List.py | Remove N-th node from the end of a Linked List.py | py | 1,350 | python | en | code | 3 | github-code | 13 |
2250518699 | """Soft Q Imitation Learning (SQIL) (https://arxiv.org/abs/1905.11108).
Trains a policy via DQN-style Q-learning,
replacing half the buffer with expert demonstrations and adjusting the rewards.
"""
from typing import Any, Dict, List, Optional, Type, Union
import numpy as np
import torch as th
from gymnasium import s... | HumanCompatibleAI/imitation | src/imitation/algorithms/sqil.py | sqil.py | py | 8,709 | python | en | code | 1,004 | github-code | 13 |
32227612386 | #! /usr/bin/python3
# coding: utf8
#
# -----------------------------------------------------------
# | "Pysenhower" |
# -----------------------------------------------------------
#
# Python3.2-Programm, mit dem Aufgaben entsprechend ihrer
# Prioritäten organisiert werden kö... | P9k/pysenhower_ger | pysenhower.py | pysenhower.py | py | 7,364 | python | de | code | 0 | github-code | 13 |
25345562203 | from flask_restplus import Namespace, Resource, fields
from app.main.models.user import User
api = Namespace('users')
user = api.model('User', {
'id': fields.Integer,
'first_name': fields.String,
'last_name': fields.String,
'pseudo': fields.String
})
@api.route('/<int:identifiant>')
@api.response(... | aissaelouafi/twitter-api | app/apis/users.py | users.py | py | 513 | python | en | code | 0 | github-code | 13 |
29237072036 | import dash_bootstrap_components as dbc
import dash_html_components as html
from views.layout.controls import indicators_controls
top_menu = dbc.Navbar([
html.H1('Furni', className='flex-field'),
dbc.Nav([
dbc.NavItem(dbc.NavLink('Indicadores generales', className='btn btn-primary round',href='/in... | JuanMaVelezPa/DS4A_Project | views/layout/menus.py | menus.py | py | 1,561 | python | en | code | 1 | github-code | 13 |
14619679476 | # Preprocesses NVD data
import re
name_pattern = r'(nvdcve-1.1-){1}(\d){4}'
# Listing JSON files
from os import listdir
from os.path import isfile, join
path = join('data', 'extracted')
data_files = [f for f in listdir(path) if isfile(join(path, f))]
print('{} files identified'.format(len(data_files)))
for item in dat... | agu3rra/nvd | pre-processor.py | pre-processor.py | py | 1,044 | python | en | code | 0 | github-code | 13 |
36121390161 | from typing import Optional, Dict, Tuple
from itertools import accumulate
import numpy as np
from gym.wrappers.time_limit import TimeLimit
import matplotlib.pyplot as plt
import seaborn as sns
import torch
from tqdm import tqdm
from .agents.utils import Agent
from .agents.DQN import DQNAgent
from .agents.VPG impo... | RedTachyon/rl_robotics | train_eval.py | train_eval.py | py | 5,250 | python | en | code | 0 | github-code | 13 |
370937772 | '''
手写数字识别
'''
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn import svm
from sklearn.neighbors import KNeighborsClassifier
#1.加载数据
data = datasets.load_digits()
print(type(data))
print(data)
#总的图像数目是1797个图像，每个图像是8*8的图
print(data.images.shape)
print(data.data.shape)
print(data.target.sh... | yyqAlisa/python36 | 自学/sklearn self-study/SVM/手写数字识别.py | 手写数字识别.py | py | 1,281 | python | en | code | 0 | github-code | 13 |
73053295377 | def findRestaurant(list1, list2):
dict1 = dict()
answer = []
for i in range(0, len(list1)):
if list1[i] in list2:
dict1.update({list1[i]: (list1.index(list1[i]) + list2.index(list1[i]))})
for key, value in dict1.items():
if min(dict1.values()) == value:
answer.app... | liv-apuzzio/my_leetcode_solutions | python/599_Minimum_Index_Sum_of_Two_Lists.py | 599_Minimum_Index_Sum_of_Two_Lists.py | py | 346 | python | en | code | 1 | github-code | 13 |
15056855396 | def med(arr):
arr.sort()
return arr[len(arr) // 2]
def mod(arr):
return max(arr, key=arr.count)
def fun():
n = int(input())
medi = []
modi = []
nums = []
for _ in range(n):
num = list(map(int, input().split()))
nums.extend(num)
medi.append(med(num))
mo... | mishutka200101/Python-Practice-2 | task_15.4.py | task_15.4.py | py | 466 | python | en | code | 0 | github-code | 13 |
73837308498 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('WeekPlanner', '0005_auto_20150915_1900'),
]
operations = [
migrations.RenameField(
model_name='educationalactivi... | yarkinsv/PYW | WeekPlanner/migrations/0006_auto_20150918_1735.py | 0006_auto_20150918_1735.py | py | 817 | python | en | code | 0 | github-code | 13 |
15647544617 | import numpy
from matplotlib import pyplot
from scipy import interpolate
nx = 41
dx = 2./(nx-1)
nt = 50
dt = .01
c = 1
x = numpy.linspace(0,2,nx)
xp = x.copy()
u = numpy.ones(nx)
u[10:20] = 2
up = u.copy()
for n in range(nt):
un = u.copy()
for i in range(1,nx-1):
u[i] = un[i]-c*dt/dx*(un[i]-un[i-1])
... | gear/HPSC | lec_code/pm/step01.py | step01.py | py | 620 | python | en | code | 0 | github-code | 13 |
1680792736 | #!/usr/bin/env python3
#encoding=utf-8
#-----------------------------------------
# Usage: python3 first_example.py
# Description: Function definition and call
#-----------------------------------------
def intersect(seq1, seq2):
res = []
for x in seq1:
if x in seq2:
res.append(x)
r... | mindnhand/Learning-Python-5th | Chapter16.FunctionBasics/first_example.py | first_example.py | py | 626 | python | en | code | 0 | github-code | 13 |
28494556710 | import boto3
import json
import logging
from botocore.client import Config
from botocore.vendored.requests.exceptions import ReadTimeout
from traceback import format_exc
logger = logging.getLogger(__name__)
class stepfunctions(object):
def __init__(self, session=None):
config = Config(read_timeout=70)
... | matthewhanson/boto3-utils | boto3utils/stepfunctions.py | stepfunctions.py | py | 1,901 | python | en | code | 5 | github-code | 13 |
42663822361 | # import uwebsockets.client
import urequests
import ujson
import time
import machine
import dht
with open('secret') as f:
secret_key = f.read().strip()
def main():
uri = 'http://35.244.13.244/iot/post'
# uri = 'http://192.168.225.201:8000/iot/post' # for testing
# uri = 'ws://echo.websocket.org/' # f... | sajankp/iot_project_esp8266 | server.py | server.py | py | 2,355 | python | en | code | 0 | github-code | 13 |
73817130577 | from flask import *
app = Flask(__name__)
@app.route('/')
def homepage():
return "Hello me!"
users = {
'thuhuongvan98': {
"Name": "Van Nguyet Thu Huong",
"Age": 21,
"Address": "Hahaha"
},
'baohoa96' : {
"Name": "Hoa Hoang Bao Hoa",
"Age": 23,
"Address": "Complicated"... | thuhuongvan98/Huong-Van | Lesson 10/web_practice.py | web_practice.py | py | 1,923 | python | en | code | 0 | github-code | 13 |
70196260818 | import os
from datetime import datetime
from flask import Flask, flash, json, render_template, redirect, request, url_for
# ----------------------------#
# Split answer file function #
# ----------------------------#
def split_answer_file(filename):
answers = {}
with open(filename,"r") as file:
for l... | bennettpe/practical-python-website | test_get_correct_answers.py | test_get_correct_answers.py | py | 860 | python | en | code | 0 | github-code | 13 |
25837813290 |
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from tqdm import tqdm
from sklearn.metrics import mean_absolute_error
from scipy.optimize import curve_fit
class LinearInterpolator:
def __init__(self, engagement_col: str='engagements'):
self.engagement_col = engagement_col
... | botelhoa/C4D-blogs | Data Wrangling: Missing Engagement Interpolation/code/interpolation.py | interpolation.py | py | 8,125 | python | en | code | 0 | github-code | 13 |
29102173909 | # from scopus import ScopusSearch
import os
import pandas as pd
import numpy as np
import logging
from urllib import parse, request
import urllib.error
import json
from pprint import pprint as pp
BASE_DIR = os.path.abspath(os.path.realpath(__file__))
BASE_DIR = os.path.join(os.path.dirname(BASE_DIR), '..', '..')
os.c... | gnukinad/scival | src/book_count/get_aff_book_count.py | get_aff_book_count.py | py | 9,102 | python | en | code | 1 | github-code | 13 |
16508174953 | import json
from PyQt5.QtCore import pyqtSlot, QTime
from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import (
QMainWindow,
QColorDialog,
QTableWidgetItem,
QApplication, QHBoxLayout,
QLabel,
QPushButton,
QTableWidget,
QVBoxLayout,
QWidget,
QFileDialog,
QTableWidgetSelecti... | pmineev/GradientScreensaver | settings_window.py | settings_window.py | py | 9,097 | python | en | code | 0 | github-code | 13 |
299063578 | num = 2
sum = 0
while num <= 2480058:
p = 5
val = 0
for c in str(num):
val = val + pow(int(c),p)
if val == num:
sum = sum + num
num = num + 1
print(sum)
| LeStarch/euler-solutions | euler30.py | euler30.py | py | 189 | python | en | code | 0 | github-code | 13 |
29214874341 | import argparse
import json
import logging
import os
import sys
import boto3
from botocore.config import Config
from botocore import UNSIGNED
from e2e_common.util import (
xrun,
atexitrun,
firstFromS3Prefix,
hassuffix,
)
logger = logging.getLogger(__name__)
def main():
ap = argparse.ArgumentPar... | algorand/indexer | e2e_tests/src/e2e_common/get_test_data.py | get_test_data.py | py | 2,340 | python | en | code | 111 | github-code | 13 |
33700228760 | import bge
bge.render.showMouse(True)
def fix_text():
objs = bge.logic.getCurrentScene().objects
for o in objs:
try:
o.resolution = 1.25
except AttributeError:
pass
def update_resource_meters():
objs = bge.logic.getCurrentScene().objects
gd = bge.logic.gl... | gandalf3/The-Queen-s-Workers | GUI.py | GUI.py | py | 1,822 | python | en | code | 2 | github-code | 13 |
9844660475 | # -*- coding: utf-8 -*-
from secp256k1 import PublicKey, ALL_FLAGS
from raiden.utils import sha3, GLOBAL_CTX
def recover_publickey(messagedata, signature):
if len(signature) != 65:
raise ValueError('invalid signature')
key = PublicKey(
ctx=GLOBAL_CTX,
flags=ALL_FLAGS, # FLAG_SIGN is... | utzig/raiden | raiden/encoding/signing.py | signing.py | py | 1,170 | python | en | code | null | github-code | 13 |
17659538181 | from collections import Counter
n = int(input())
arr = list(map(int, input().split()))
gap = [[0 for j in range(n)] for i in range(n)]
MAX = -1
#i번째 원소 기준으로 공차d를 구한 후 최빈값의 등장 횟수를 기록
for i in range(n):
d = []
for j in range(n):
if i!=j :
d.append((arr[j] - arr[i]) / (j-i))
... | ryuwldnjs/BOJ | 백준/Silver/25401. 카드 바꾸기/카드 바꾸기.py | 카드 바꾸기.py | py | 516 | python | ko | code | 0 | github-code | 13 |
37154207403 | """Custom template tags for metabase embedding."""
import logging
import time
from datetime import date
from datetime import datetime
import jwt
from django import template
from django.conf import settings
from django.template.loader import render_to_string
log = logging.getLogger(__name__) # noqa
register = templa... | abhay340/ethical-ads | adserver/templatetags/metabase.py | metabase.py | py | 1,516 | python | en | code | 0 | github-code | 13 |
44040860266 | #val=int(input("enter a number"))
#if val >100:
# val = val/2
#else:
# val=val*2
#print("the result is", val)
#to print in online
val=int(input("enter a number"))
val=val/2 if val>100 else val * 2
print("the result is", val)
name= input("enter ur name")
print("very good") if name.isalpha() else print("not good... | itzzyashpandey/python-data-science | basics/onliner.py | onliner.py | py | 322 | python | en | code | 0 | github-code | 13 |
14769143752 | #Simple run this file by call function crawl_r()
import requests
from data import *
def crawl_api_main():
http = []
socks4 = []
socks5 = []
for i in http_api:
res = requests.get(i)
http.append(res.text)
for i in socks4_api:
res = requests.get(i)
socks4.append(res.text)
for i in socks5_a... | pEvk/proxy-crawl | crawl_api.py | crawl_api.py | py | 690 | python | en | code | 0 | github-code | 13 |
22191448242 | import inspect
import json
from copy import deepcopy
from dataclasses import dataclass
from functools import lru_cache
from pathlib import Path
from typing import Any, Dict, Iterable, Union
import jsonschema
import yaml
from jsonschema.exceptions import best_match
from linkml_runtime import SchemaView
from linkml_runt... | linkml/linkml | linkml/linter/linter.py | linter.py | py | 4,984 | python | en | code | 228 | github-code | 13 |
1044279742 | """
如果保存的是模型参数
"""
import torch
import torchvision.models as models
torch_model = torch.load("test.pth") # pytorch模型加载
model = models.resnet50()
model.fc = torch.nn.Linear(2048, 4)
model.load_state_dict(torch_model)
batch_size = 1 #批处理大小
input_shape = (3, 244, 384) #输入数据,改成自己的输入shape
# #set the model to inferenc... | songjiahao-wq/untitled | Work/convert onnx/two.py | two.py | py | 970 | python | en | code | 1 | github-code | 13 |
6660684922 | ###################################################################
## Written by Eli Pugh and Ethan Shen ##
## {epugh}, {ezshen} @stanford.edu ##
## Translated from Matlab written by Jiantao Jiao ##
## https://github.com/EEthinker/Universal_direc... | elipugh/directed_information | directed_information/ctwalgorithm.py | ctwalgorithm.py | py | 2,998 | python | en | code | 2 | github-code | 13 |
4970009163 | n = int(input())
a = list(map(int, input().split()))
cnt_num = [0] * (10 ** 5 + 1)
max_length = 0
distinct_num = 0
left = 0
for i in range(n):
cnt_num[a[i]] += 1
if cnt_num[a[i]] == 1:
distinct_num += 1
while left < i and distinct_num > 2:
cnt_num[a[left]] -= 1
if cnt_num[a[lef... | truclycs/code_for_fun | algorithms/python/intermediate/algorithmic_complexity/Approximating a Constant Range.py | Approximating a Constant Range.py | py | 488 | python | en | code | 7 | github-code | 13 |
20169845997 | #Jose Tomas Martinez Lavin
from matplotlib.pylab import *
from scipy.integrate import odeint
m= 1.
f= 1.
chi= 0.2
w= 2.*pi*f
wd= w * sqrt(1.-chi**2)
k= m*w**2
c= 2.*chi*w*m
def eulerint(zp, z0, t, Nsubdivisiones=1):
Nt = len(t)
Ndim = len(z0)
z = zeros((Nt, Ndim))
z[0,:] = z0[0]
z[1,:] = z0... | JoseTomasMartinez/MCOC2020-P1 | entrega4.py | entrega4.py | py | 1,314 | python | en | code | 0 | github-code | 13 |
38342907645 | import argparse
import sys
parse = argparse.ArgumentParser()
parse.add_argument("-o",default="color")
parse.add_argument("-emoji",nargs='?',const=True,default=False)
parse.add_argument("-i",type=float,default=1.0)
parse.add_argument("-minframes",type=int,default=24)
parse.add_argument("-output",default="\\Desktop\\out... | nlcsdev/rgbif.py | arg_handler.py | arg_handler.py | py | 910 | python | en | code | 1 | github-code | 13 |
72221887377 | import os
from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponse, JsonResponse
from django.urls import reverse, reverse_lazy
from django.contrib.auth.decorators import login_required
from books.models import Book, Category
def home(request):
books = Book.objects.all(... | devmedtz/sogea | books/views/books.py | books.py | py | 1,370 | python | en | code | 2 | github-code | 13 |
23360183298 | '''
Feb-04-2021
594. Longest Harmonious Subsequence
Difficulty: Easy
Link: https://leetcode.com/problems/longest-harmonious-subsequence/
'''
class Solution:
def findLHS(self, nums: List[int]) -> int:
myMap = collections.Counter(nums)
keys = set(nums)
ansMap = {}
for key in keys:
if key-1 not in... | iwajef/leetcode-daily-challenge | Feb-2021/02.04.py | 02.04.py | py | 497 | python | en | code | 0 | github-code | 13 |
2553654886 | from .dataset import Dataset
import artm
import os
import re
import sys
import shutil
import subprocess
import numpy as np
import pandas as pd
from tqdm import tqdm
class DatasetCooc(Dataset):
"""
Class prepare dataset in vw format for WNTM model
"""
def __init__(
self,
data_path: st... | machine-intelligence-laboratory/TopicNet | topicnet/cooking_machine/dataset_cooc.py | dataset_cooc.py | py | 9,968 | python | en | code | 138 | github-code | 13 |
12527631313 |
def exercise_2():
with open('Hamlet.txt', 'r') as f:
lines = 0
words = 0
characters = 0
for line in f.readlines():
characters += len(line)
lines += 1
if line == '':
continue
line.strip()
words_unfiltered = ... | RohanBKhatwani/AI-PythonDocstring-Generator | test-files/wordCount.py | wordCount.py | py | 2,972 | python | en | code | 0 | github-code | 13 |
30812696493 | import pytest
from lagom import Container, bind_to_container, injectable
class MyDep:
value: str
def __init__(self, value="testing"):
self.value = value
container = Container()
@bind_to_container(container)
def example_function(message: str, resolved: MyDep = injectable) -> str:
return resol... | meadsteve/lagom | tests/test_explicit_partial_functions.py | test_explicit_partial_functions.py | py | 923 | python | en | code | 216 | github-code | 13 |
23154261305 | import sys
from PyQt5 import QtGui, QtWidgets
from matplotlib import image
import run_graphsage_cora as rg
from PyQt5.QtCore import pyqtSignal, QThread
from PyQt5.QtWidgets import QApplication, QMainWindow, QGraphicsPixmapItem, QGraphicsScene
from demo import Ui_MainWindow
import cv2
class MyThread(QThread):
sign... | Boomerl/Graduation-project | src/run_ui.py | run_ui.py | py | 3,746 | python | en | code | 0 | github-code | 13 |
4359561978 | from bs4 import BeautifulSoup
import datetime
DATE_TIME_FORMAT = '%Y-%m-%dT%H:%M:%S.%fZ'
def extract_stops(bs_data):
'''
Recebe o objeto BeautifulSoup e processa as paradas presentes no KML
'''
# Extraindo as Paradas
stops_kml = bs_data.find_all('Placemark')
del stops_kml[-1] # Remover a últ... | mateusolorenzatti/gtfs-farroupilha-manager | apps/gtfs/helpers/gps2gtfs/KML_helper.py | KML_helper.py | py | 3,005 | python | en | code | 0 | github-code | 13 |
33596617943 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 6 09:55:58 2019
@author: ajseshad
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from ClassificationLib import FeatureScaling, LogReg, KNN, SVM, KernelSVM, NaiveBayes, DecisionTree, RandomForest
# dataset text can inherently cont... | seshajay/FunWithML | nlp.py | nlp.py | py | 3,362 | python | en | code | 0 | github-code | 13 |
12305066287 | import pygtk
import gtk, gobject, cairo
class Screen(gtk.DrawingArea):
__gsignals__ = {"expose-event":"override"}
def do_expose_event(self, event):
cr = self.window.cairo_create()
cr.rectangle(event.area.x, event.area.y,
event.area.width, event.area.height)
cr.cli... | malaania/kurs_pythona | try_gtk.py | try_gtk.py | py | 733 | python | en | code | 0 | github-code | 13 |
15976991416 | import pytest
from cityjson2ifc_cli.convert import cityjson2ifc
@pytest.mark.parametrize("input_model", ["input_model_5907", "input_model_68dn2"])
def test_lod_select(request, input_model, tmp_dir):
"""Can we extract a specific LoD?"""
cm = request.getfixturevalue(input_model)
outfile = tmp_dir / "outfil... | 3DGI/cityjson2ifc | tests/test_convert.py | test_convert.py | py | 1,461 | python | en | code | 2 | github-code | 13 |
6731703617 | import numpy as np
import pandas as pd
from PIL import Image
from typing import Tuple
import torch
from torch.utils.data import Dataset
from transformers.models.bert_japanese.tokenization_bert_japanese import BertJapaneseTokenizer
class MMBTClipDsataset(Dataset):
def __init__(
self,
df: pd... | ryota0051/boke-ai | src/models/MMBT_with_CLIP_encoder/dataset.py | dataset.py | py | 3,911 | python | en | code | 0 | github-code | 13 |
4825967632 | # -*- mode: python ; coding: utf-8 -*-
block_cipher = None
added_files = [
('./core', 'core'),
('./resources', 'resources'),
# ('./config_user/config.json', 'config_user'),
('./packages/marina', 'packages/marina'),
('./packages/launcher', 'packages/launcher'),
('./packages/atlantis', ... | Knufflebeast/armada-pipeline | pyinst_macos.spec | pyinst_macos.spec | spec | 1,911 | python | en | code | 27 | github-code | 13 |
27556101794 | import os.path
from loguru import logger
from providers import provider as provider_module
from modules.worker import Worker, handle_tasks
from modules.utils import zipdir
from config import MAX_THREAD, MANGA_STORAGE_PATH, CBZ_STORAGE_PATH
class Fetcher:
manga_name = None
def __init__(self, provider, url):... | wongpinter/manga-dl | app/fetcher.py | fetcher.py | py | 1,417 | python | en | code | 0 | github-code | 13 |
38630974551 | from rest_framework import serializers
from .models import Project
from authentication.models import User
class ProjectSerializer(serializers.ModelSerializer):
class Meta:
model = Project
fields = ['id', 'name', 'description', 'type', 'created_time', 'author']
read_only_fields = ('author',... | DomninBenoit/SoftDesk_Support | SoftDesk/projects/serializers.py | serializers.py | py | 1,377 | python | en | code | 0 | github-code | 13 |
37619133742 | #!/usr/bin/env python2
import rospy
from visualization_msgs.msg import Marker
from geometry_msgs.msg import Point
from msgs.msg import LaneEvent
class Node:
ground_z = -3.1
x1_min_ = 1.0
x1_max_ = 71.0
x1_center_ = (x1_min_ + x1_max_) / 2
x1_scale_ = x1_max_ - x1_min_
y1_min_ = 1.5 # right... | wasn-lab/Taillight_Recognition_with_VGG16-WaveNet | src/detection_viz/scripts/gen_lane_event_grid.py | gen_lane_event_grid.py | py | 6,691 | python | en | code | 2 | github-code | 13 |
26893452765 | import os
import subprocess
from make_enc import*
from testGUI import first_GUI
# ----- GATHERING PATH INFO -----
output = subprocess.getoutput( 'cd' )
full_path = '' + output
# ----- GETTING USERNAME -----
LHS_start = output.find('Users') + len('Users') + 1
user = output[LHS_start:]
RHS_end = user.fi... | mwmorale/StoringEncryptionData | OS_manip.py | OS_manip.py | py | 1,900 | python | en | code | 2 | github-code | 13 |
18274948226 |
from assemblyline.al.common.result import ResultSection, Tag, TAG_WEIGHT, Classification, TAG_USAGE, TAG_TYPE
class VirusHitSection(ResultSection):
def __init__(self, virus_name, score, embedded_filename='', detection_type=''):
if embedded_filename:
title = 'Embedded file: %s was identified a... | deeptechlabs/cyberweapons | assemblyline/assemblyline/al/common/av_result.py | av_result.py | py | 2,116 | python | en | code | 78 | github-code | 13 |
37132413130 | age = int(input('Введите ваш возраст: ')) # простой вариант преобразования строки (str) в целое число (int)
#int_age = int(age) # второй вариант более сложный и занимает больше строк
if age < 28:
print('Поздравляю, Вы - Молодой козлик!')
else:
print('Увы, но вы - Старикашка!')
# Цикл ... | lis5662/Hangman- | Test.py | Test.py | py | 934 | python | ru | code | 0 | github-code | 13 |
1434394303 | print('='*20,'欢迎使用好友系统','='*20)
print()
hy=[]
while True :
print('''\
1:\t添加好友
2:\t删除好友
3:\t修改备注
4:\t展示好友
5:\t退出
''')
print('-' * 58)
print('请选择要做得操作')
xz=input()
if xz =='1' :
print('输入要添加的好友')
name_hy=input()
if name_hy in hy:
print(f'{na... | sk0606-sk/python | python1/python3/练习/1/好友管理系统.py | 好友管理系统.py | py | 2,658 | python | zh | code | 0 | github-code | 13 |
23836488255 | from datetime import time, date
from random import choice
from time import sleep
import os
from discord.ext import tasks, commands
import discord
from poll import send_poll_req, create_poll
import utils
TOKEN = os.environ["TOKEN"]
CHAN_ID = int(os.environ["CHAN_ID"])
ADMIN = int(os.environ["ADMIN"])
JOB_TIME = time... | EarlPitts/badminbot-v2 | bot.py | bot.py | py | 4,409 | python | en | code | 0 | github-code | 13 |
23243413194 | import numpy as np
import torch
import torch.nn.functional as F
from item_to_genre import item_to_genre
import pandas as pd
from sklearn.preprocessing import normalize
from topK import topK, hrK
class XEval(object):
"""
evaluate the explainability
"""
def __init__(self, dataset='100k'):
"""
... | pd90506/AMCF | evaluate.py | evaluate.py | py | 8,358 | python | en | code | 15 | github-code | 13 |
11836791086 | # main -> controller -> db_controller
import json
from controller import controller
from controller.db_controller import config
from controller import json_writer
ask_for_dbs = True
crud_choice = ""
dbs_choice = ""
json_writer.connect()
def getOverview():
jsonFile = open('Schema/main/main.json')
data = json.... | joshelboy/db2_a1 | main.py | main.py | py | 6,350 | python | en | code | 0 | github-code | 13 |
3900675070 | import sys
from flask_restful import Resource, reqparse
from flask import jsonify
from flask_jwt_simple import create_jwt, jwt_required, get_jwt_identity
from server import bcrypt
from server.models.GradeDistribution import GradeDistribution
from server.models.User import User
from server.models.Lecturer import Lectu... | alitolga/ITU-CS-Database-Project | server/resources/admin.py | admin.py | py | 13,050 | python | en | code | 0 | github-code | 13 |
42116011928 | import sys
lines=sys.stdin.readlines()
N=int(lines[0].split()[0])
e=[[] for i in range(N)]
for line in lines[1:]:
[a,b,w]=[int(x) for x in line.split()]
e[a-1].append((b-1,w))
mx=[{} for i in range(N)]
mx[0][0]=0
for k in range(N):
for (t,w) in e[k]:
for (n,s) in mx[k].items():
if (not n... | Kodsport/swedish-olympiad-2018 | final/trevligvag/submissions/partially_accepted/par_slow.py | par_slow.py | py | 474 | python | en | code | 0 | github-code | 13 |
12458347774 | from rest_framework import serializers
from veterinarian_information.models import AcademicInformation
class AcademicInformationSerializer(serializers.ModelSerializer):
title = serializers.CharField(
max_length=256, required=True, error_messages={
'required': 'Por favor, ingrese un título',
... | Eliana-Janneth/vetapp-backend | veterinarian_information/serializers/academic_information.py | academic_information.py | py | 1,517 | python | es | code | 0 | github-code | 13 |
7729389650 | from bokeh.plotting import figure
from bokeh.embed import components
from bokeh.io import output_file, show
from bokeh.layouts import row
import datetime
import sqlite3
plant_data_db = '/var/jail/home/team07/plant_data.db'
def request_handler(request):
if request['method'] == "GET":
id = req... | zjohhson/Projects | You Grow Girl!/plant_data_grapher.py | plant_data_grapher.py | py | 3,716 | python | en | code | 0 | github-code | 13 |
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