seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
22813435642 | import numpy as np
import cv2
import os
from cv2 import dnn
def ColorizeImage(sourceImg, save):
if(os.path.exists(sourceImg) == False):
return
proto_file = 'Model\colorization_deploy_v2.prototxt'
model_file = 'Model\colorization_release_v2.caffemodel'
hull_pts = 'Model\pts_in_hull.npy'
# R... | OguzkanK/Image-Colorizer | ColorizeImage.py | ColorizeImage.py | py | 2,370 | python | en | code | 0 | github-code | 1 |
5563353172 | import zmq
from time import sleep
context = zmq.Context()
socket = context.socket(zmq.PUB)
socket.bind('tcp://127.0.0.1:2000')
messages = [100,200,300]
i = 0
while True:
sleep(1)
socket.send_pyobj({i:messages[i]})
i = 0 if i == 2 else i + 1
| williamlun/SomeCommunicationSocket | ZeroMQ/zmq_pub.py | zmq_pub.py | py | 257 | python | en | code | 2 | github-code | 1 |
16569111742 | """
The version of the package can be returned as a single string or a dict.
When a string, it comes from the package __version__.
When a dict, it also has __version__,
as well as versions of other depdency packages.
"""
from typing import Optional
import dls_mainiac_lib.version
import dls_servbase_lib.ve... | DiamondLightSource/soakdb3 | src/soakdb3_lib/version.py | version.py | py | 1,208 | python | en | code | 0 | github-code | 1 |
18101203760 | import sys
input = sys.stdin.readline
N = int(input())
# num_arr = list(map(int,input().split()))
num_arr = input().split()
def reverse(x):
new_num = []
for i in range(len(x),0,-1):
new_num.append(x[i-1])
new_num = ''.join(new_num)
return int(new_num)
def isPrime(x):
count = 0
if x == ... | codnjs3575/TIL | Inflearn/section_2/8_뒤집은_소수.py | 8_뒤집은_소수.py | py | 525 | python | en | code | 0 | github-code | 1 |
25896635456 | from datetime import datetime
import Player
class Result:
def __init__(self, date: datetime, place: int, player: Player, id: int = None):
self.id = id
self.date = date
self.place = place
self.player = player
| JChoptiany/Poker-Pro-League | Result.py | Result.py | py | 246 | python | en | code | 1 | github-code | 1 |
13853365576 | import requests
import json
import re
url = "http://www.juzimi.com/article/%E6%83%85%E4%B9%A6"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.139 Safari/537.36",
"Referer": "http://www.juzimi.com/search/node/%E5%82%B2%E6%85%A2%E4%B8%8E%E5... | youguanxinqing/Extract_Data | regex.py | regex.py | py | 1,513 | python | en | code | 0 | github-code | 1 |
32793763181 | """create table vulnerabilities
Revision ID: 7c34e9a89bc0
Revises: b21ffaeed8e4
Create Date: 2016-06-29 10:11:36.057723
"""
# revision identifiers, used by Alembic.
revision = '7c34e9a89bc0'
down_revision = 'b21ffaeed8e4'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
import d... | asrozar/perception_ui | migrations/versions/7c34e9a89bc0_create_table_vulnerabilities.py | 7c34e9a89bc0_create_table_vulnerabilities.py | py | 1,357 | python | en | code | 0 | github-code | 1 |
1421958380 | #!/usr/bin/env python #
# #
# Autor: Milena Crnogorcevic #
# Date created: 7/22/2019 ... | mcrnogor/LLE-ALPs | sensitivity/scripts/ALP_fit.py | ALP_fit.py | py | 2,626 | python | en | code | 0 | github-code | 1 |
41012606432 | filename = "Inputs/" + __file__.strip("py") + "txt"
with open(filename, "r") as file:
data = file.readlines()
import operator
scanners = []
scannerIndex = 0
for line in data:
if line.startswith("---"):
scanners.append([])
continue
if line.isspace():
scannerIndex += 1
cont... | ThomasCulotta/Advent2021 | Day19.py | Day19.py | py | 3,625 | python | en | code | 0 | github-code | 1 |
1666799492 | '''Created on 2021-11-03
@author: Gabriel Bailey
This code will solve Burger's equation for a given equation using the leapfrog method. It will produce 4 graphs of the equation at different times, and also an animated graph over time if desired.
'''
# Started from laplace.py
from numpy import pi,zeros, sin,linspace
... | TheRajeshB/Labwork1 | Lab08/Lab08_Q3.py | Lab08_Q3.py | py | 2,622 | python | en | code | 0 | github-code | 1 |
62125632 | import numpy as np
import matplotlib.pyplot as plt
def pie_charts(sizes,title):
#adjust the size of figure
plt.figure(figsize=(6,9))
#define label
labels = ['0-17 years','18-64 years','65+ years']
colors = ['yellow','lightskyblue','yellowgreen']
#The larger the value is, the larger the ga... | ShikaZzz/disease-outbreak | scripts/h1n1_piecharts.py | h1n1_piecharts.py | py | 1,303 | python | en | code | 0 | github-code | 1 |
43199603252 | from itertools import compress
import numpy as np
from .object_intersect import partition, get_ob_2dbboxes, get_vert_co_2d, get_ob_loc_co_2d, do_selection
from .polygon_tests import point_inside_rectangles, points_inside_rectangle, segments_intersect_rectangle
def get_obs_mask_in_selbox(obs, obs_mask_check, depsgra... | AtixCG/Universal-3D-Shortcuts | Blender/With Addons/scripts/addons/space_view3d_xray_selection_tools/functions/object_intersect_box.py | object_intersect_box.py | py | 3,688 | python | en | code | 38 | github-code | 1 |
27528723023 | #!/usr/bin/python3
import argparse
import json
import time
import cv2
import numpy as np
# dictionary with ranges
ranges_pcss = {"b": {"min": 100, "max": 256},
"g": {"min": 100, "max": 256},
"r": {"min": 100, "max": 256},
}
def main():
"""
INITIALIZE -----------... | JorgeFernandes-Git/PSR_AULAS_2021 | openCV/video_capture/ar_paint_v1/ar_paint.py | ar_paint.py | py | 9,828 | python | en | code | 0 | github-code | 1 |
31534568892 | __author__ = 'christine'
GTEx = ['Pancreas', 'Esophagus', 'Heart', 'Colon', 'Bone Marrow', 'Liver', 'Skin', 'Kidney', 'Brain', 'Pituitary', 'Blood', 'Thyroid', 'Uterus', 'Adipose Tissue', 'Adrenal Gland', 'Breast', 'Stomach', 'Spleen', 'Fallopian Tube', 'Lung', 'Blood Vessel', 'Ovary', 'Testis', '<not provided>', 'Mus... | christinecho/Analysis-of-Gene-Expressions | GTExAndTCGA.py | GTExAndTCGA.py | py | 1,281 | python | en | code | 0 | github-code | 1 |
12171273789 | import rclpy
from rclpy.node import Node
from sensor_msgs.msg import Image
import cv2
from cv_bridge import CvBridge
class CameraSubscriber(Node):
def __init__(self):
super().__init__("camera_subscriber")
self.create_subscription(Image, "/wamv/sensors/cameras/front_left_camera_sensor/optical/image_... | Wavefire5201/boat_ctrl | boat_ctrl/camera.py | camera.py | py | 754 | python | en | code | 1 | github-code | 1 |
1633435425 | #!/usr/bin/env python3
'''
Perform classification of a corpus using CountVectorizer.
Displays the metrics from the classification.
'''
import codecs as cs
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn import cross_validation
from sklearn import m... | dumoulma/fic-prototype | MeasureTF.py | MeasureTF.py | py | 2,326 | python | en | code | 10 | github-code | 1 |
3978233106 | # -*- coding: utf-8 -*-
""" Class to store Units and perform conversion
This script requires that `logging` be installed within the Python
environment you are running this script in.
"""
import logging
import json
from os import path
import logging.config
class Unit:
"""It represents the physical un... | Praveenstein/Intern_Assignment | Q1/Q1_unit_2_dicConfig.py | Q1_unit_2_dicConfig.py | py | 3,305 | python | en | code | 0 | github-code | 1 |
20330162062 | import scipy.stats
import numpy as np
class UniformDist:
def __init__(self, xmax=1., xmin=None):
self.xmax = xmax
self.xmin = - xmax if xmin is None else xmin
self.prob = 1 / (self.xmax - self.xmin)
def __call__(self, *args, **kwargs):
return self.prob
def __str__(self):
... | uidilr/bayesian_irl | src/utils/prob_dists.py | prob_dists.py | py | 2,191 | python | en | code | 14 | github-code | 1 |
8882625049 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('webapp', '0009_auto_20141216_0118'),
]
operations = [
migrations.AlterField(
model_name='openinghours',
... | IvanCaceres/drunken-octo-spice | appointments/webapp/migrations/0010_auto_20141216_0119.py | 0010_auto_20141216_0119.py | py | 702 | python | en | code | 0 | github-code | 1 |
9557083189 | # 15_function_ex1.py
# 다음의 함수를 포함하는 프로그램 작성
# 함수 이름 : sum()
# 숫자 2개를 입력 받아서 두수의 합을 구하여 출력
# 숫자1 입력 : 3
# 숫자2 입력 : 4
# 합 : 7
def sum() :
num1 = int(input('숫자1 입력 : '))
num2 = int(input('숫자2 입력 : '))
sum = num1+ num2
return sum
print('합 : ', sum()) | DavidMCKim/TIL | 210628-210702 Python 강의/10_function/15_function_ex1.py | 15_function_ex1.py | py | 380 | python | ko | code | 0 | github-code | 1 |
13043906918 | import pytest
from iotile.core.exceptions import ArgumentError
from iotile.sg.model import DeviceModel
from iotile.sg.sensor_log import SensorLog
from iotile.sg.exceptions import StorageFullError, UnresolvedIdentifierError
from iotile.sg.engine import InMemoryStorageEngine
from iotile.sg import DataStreamSelector, Dat... | iotile/coretools | iotilesensorgraph/test/test_sensorlog.py | test_sensorlog.py | py | 12,526 | python | en | code | 14 | github-code | 1 |
5410486029 | from copy import deepcopy
import requests
from c2corg_api.legacy.converter import convert_from_legacy_doc, convert_to_legacy_doc
from c2corg_api.schemas import schema_validator
def test_converter(document_id, document_type):
legacy_doc = requests.get(f"https://api.camptocamp.org/{document_type}s/{document_id}", ... | c2corg/c2c_api-poc | migrations/test_converter.py | test_converter.py | py | 1,457 | python | en | code | 0 | github-code | 1 |
25159626748 | import os
from unidecode import unidecode
from pathlib import Path
import argparse
import re
parser = argparse.ArgumentParser()
parser.add_argument("--path", type=str, required=True)
parser.add_argument("--remove_accent", type=bool, required=False, default=True)
parser.add_argument("--lower", type=bool, required=False... | eugeniothiago/file-name-padronizer | file_padronizer.py | file_padronizer.py | py | 3,190 | python | en | code | 0 | github-code | 1 |
36626195418 | import requests
def get_and_filter_data(api_url, filter_params):
response = requests.get(api_url)
if response.status_code == 200:
data = response.json()
filtered_data = [item for item in data if all(item.get(key) == value for key, value in filter_params.items())]
return filtered_data... | Prosik2205/Python | main.PY | main.PY | py | 645 | python | en | code | 0 | github-code | 1 |
72696732193 | # Python practise 21 (From hackerrank) - List
"""
List :
Consider a list (list = []). You can perform the following commands:
- insert i e: Insert integer e at position i.
- print: Print the list.
- remove e: Delete the first occurrence of integer e.
- append e: Insert integer e at the end of the list.
- sort: Sort... | Brodevil/Competative-Programming | Python/Solved Questions/practise_set_21.py | practise_set_21.py | py | 2,525 | python | en | code | 3 | github-code | 1 |
73001660513 | import sys
sys.path.insert(1, 'C:\\Users\\upcnet\\Repositoris\\neuroimatge\\nonlinear2')
sys.path.insert(1, '/Users/acasamitjana/Repositories/neuroimatge/nonlinear2')
from Fitters.GAM import GAM, SmootherSet, SplinesSmoother
import numpy as np
import numpy.random as R
# import matplotlib
# matplotlib.use('GTKAgg')
imp... | imatge-upc/VNeAT | scripts/legacy/GAM/testGAM_splinesSmoother.py | testGAM_splinesSmoother.py | py | 2,588 | python | en | code | 3 | github-code | 1 |
18022324894 | import os
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import time
import kornia
import copy
from torch.utils.data import Dataset
import glob
import cv2
os.environ["OPENCV_IO_ENABLE_OPENEXR... | PKU-EPIC/DREDS | DepthSensorSimulator/stereo_matching.py | stereo_matching.py | py | 25,023 | python | en | code | 89 | github-code | 1 |
291709158 | #!/usr/bin/python3
import argparse
import string
import random
from pwn import *
import subprocess
import requests
import netifaces
import sys
import json
import hashlib
from urllib.parse import urlencode
webserver_port = 9001
proxies = {"http": "http://127.0.0.1:8080"}
class dompdf_rce:
def __init__(self, dompd... | dugisan3rd/exploit | dompdf v1.2.1 RCE (CVE-2022-28368)/dompdf-rce.py | dompdf-rce.py | py | 4,780 | python | en | code | 0 | github-code | 1 |
12889344897 | import numpy as np
import random
from scipy.stats import norm
from scipy.special import expit as sigmoid
class BBVI(object):
def __init__(self,trainSource,testSource,featureDim,
maxIteration,batchSize,sampleSize,stepScale,startPara,
dataAccessing='RA',interval=100,testSampleNum=200):
self._maxitera... | allenzhangzju/Black_Box_Variational_Inference | bayesian_logistic_regression_for_a9a/class_BBVI.py | class_BBVI.py | py | 7,041 | python | en | code | 1 | github-code | 1 |
70324000673 | import argparse
import multiprocessing
import shlex
import fim
import pandas as pd
import export
import outlier
import preprocess
##############################################################################
# DATA LOADING AND PRE-PROCESSING
def load_metrics(file_in, min_var, min_corr, scaling):
# load data ... | bittremieux/qc_analysis | qc_analysis.py | qc_analysis.py | py | 6,497 | python | en | code | 2 | github-code | 1 |
21918886906 | ''' Define the Layers '''
import torch.nn as nn
import torch.nn.functional as F
from Attention import MultiHeadAttention
class PositionwiseFeedForward(nn.Module):
''' A two-feed-forward-layer module '''
def __init__(self, d_in, d_hid, dropout=0.1):
super().__init__()
self.w_1 = nn.Conv1d(d_in,... | dodohow1011/waveglow_2 | SubLayer.py | SubLayer.py | py | 2,034 | python | en | code | 0 | github-code | 1 |
28081058204 | from django.shortcuts import render
from django.shortcuts import get_object_or_404
# Create your views here.
from django.http import HttpResponse
from .models import Site, Value
def index(request):
listSites = Site.objects.all()
context = {'listaSites' : listSites}
return render(request, 'index.html', cont... | bunnis/MWSite1 | MW/views.py | views.py | py | 2,106 | python | en | code | 0 | github-code | 1 |
30706837147 | from functools import lru_cache
from ScienceDynamics.config.log_config import logger
class PapersFetcher(object):
def __init__(self, db_client, db_name="journals", papers_collection="papers_features",
papers_join_collection="aminer_mag_papers"):
self._db = db_client[db_name]
self.... | data4goodlab/ScienceDynamics | ScienceDynamics/fetchers/papers_fetcher.py | papers_fetcher.py | py | 1,514 | python | en | code | 0 | github-code | 1 |
34872369398 | from flask import Flask, request
import json
app = Flask(__name__)
@app.route('/motion-data', methods=['POST'])
def motion_data():
data = json.loads(request.data)
# Do something with the motion data (e.g., store it in a database)
return 'Motion data received'
if __name__ == '__main__':
app.run(host='... | strikerPro818/strikerBot | Xavier_NX/mobileSelectTrack/appMotion.py | appMotion.py | py | 348 | python | en | code | 0 | github-code | 1 |
29991270161 | # **************************************************************************
# *
# * Authors: Grigory Sharov (gsharov@mrc-lmb.cam.ac.uk)
# *
# * MRC Laboratory of Molecular Biology (MRC-LMB)
# *
# * This program is free software; you can redistribute it and/or modify
# * it under the terms of the GNU General Public... | scipion-em/scipion-em-relion | relion/protocols/protocol_create_mask3d.py | protocol_create_mask3d.py | py | 9,433 | python | en | code | 3 | github-code | 1 |
12238117511 | from dataclasses import dataclass
import datetime
from typing import List, NamedTuple, Tuple
import json
from copy import deepcopy
from event import Event, Location, Timeframe
from mapsy import timeDistance
@dataclass
class Task:
id: int
begin: datetime.datetime
end: datetime.datetime
dur: datetime.t... | swiftplan-winhacks/swiftplan | planner.py | planner.py | py | 7,527 | python | en | code | 0 | github-code | 1 |
1892667939 | '''
Created on 09/11/2009
@author: Nahuel
'''
from matrix.NDimMatrix import NDimMatrix
from matrix.MatrixException import MatrixException
class Matrix(NDimMatrix):
'''Two dimension Matrix.'''
def __init__(self, size):
'''
Constructor of Matrix.
@note: checks if size has a dimension = ... | ngarbezza/tpi-so1-tp | src/matrix/Matrix.py | Matrix.py | py | 5,632 | python | en | code | 0 | github-code | 1 |
29008570208 |
import FWCore.ParameterSet.Config as cms
from Configuration.StandardSequences.Eras import eras
from cp3_llbb.Framework import Framework
from cp3_llbb.Framework.CmdLine import CmdLine
options = CmdLine(defaults=dict(runOnData=1, era="25ns", globalTag='80X_dataRun2_2016SeptRepro_v7', process='RECO'))
framework = Fram... | cp3-llbb/Framework | test/TestConfigurationData.py | TestConfigurationData.py | py | 1,534 | python | en | code | 0 | github-code | 1 |
26183187886 | # Imports
import random
import time
# LINEAR SEARCH
# Linear Search method that will search list one element at a time to see if it matches "a"
def linear_search(numeric_list, a):
for j in range(len(numeric_list)):
if numeric_list[j] == a:
return j
# If match can't be found, return -1
... | skyquis/ds_m8 | SearchingSortingTimingMarquis.py | SearchingSortingTimingMarquis.py | py | 8,661 | python | en | code | 0 | github-code | 1 |
6232972354 | import uuid
from datetime import datetime
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from core.models import Reading, Customer, Device
class TestReadingView(APITestCase):
def setUp(self):
self.url = reverse('reading')
def test_send_... | FadyAlfred/envio-challenge | core/tests.py | tests.py | py | 2,020 | python | en | code | 0 | github-code | 1 |
2309219912 | import numpy as np
from PIL import Image, ImageDraw, ImageFilter
import streamlit as st
# 何個作るか聞く
num_trials = st.slider('何個試作しますか？',0,10,0)
button = st.button('上記の設定で試作')
# 画像を後で入れる空のリスト
imgs = []
# URLを下になる画像から順に入れる
urls = ['base.png', 'field.jpg', 'yattazeyossya.png', 'Splatoon2logo.png',
'decorators-12... | auto-autumn/streamlit-thumbnails | AutoThumbnailStreamlit.py | AutoThumbnailStreamlit.py | py | 2,311 | python | en | code | 0 | github-code | 1 |
12394194085 | from aiohttp import web
from asyncpg.exceptions import UniqueViolationError
from . import permissions
from .dataaccess import environmentda
from . import auditing
async def get_envs(request):
env_list = await environmentda.get_envs()
envs = {'envs': [{'name': e} for e in env_list]}
return web.json_respo... | dvnrsn/toggle-meister | tmeister/environments.py | environments.py | py | 1,443 | python | en | code | 0 | github-code | 1 |
6148137744 | """
Module to train the decision tree model.
"""
import logging
import typing
import pickle
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
logger = logging.getLogger(__name__)
def train_test_split_data(data:pd.DataFrame, target_col:str, test... | jiahaolo/Hotel_Booking_Prediction_Web_App | src/train.py | train.py | py | 6,610 | python | en | code | 0 | github-code | 1 |
2797548973 | #!/usr/bin/env python3
CLOUD = False
try:
from polyinterface import Controller,LOGGER
except ImportError:
from pgc_interface import Controller,LOGGER
try:
import polyinterface
except ImportError:
import pgc_interface as polyinterface
CLOUD = True
import sys
import json
import time
import http.cli... | Einstein42/udi-ecobee-poly | nodes/Controller.py | Controller.py | py | 49,710 | python | en | code | 5 | github-code | 1 |
22932495045 | #!/usr/bin/env python3
from decimal import Decimal
import argparse
import json
from robinhood.RobinhoodCachedClient import RobinhoodCachedClient, FORCE_LIVE
from robinhood.util import ORDER_TYPES, ORDER_SIDES
# Set up the client
client = RobinhoodCachedClient()
client.login()
def place_order(order_type, order_side... | mstrum/robinhood-python | order_crypto.py | order_crypto.py | py | 2,376 | python | en | code | 102 | github-code | 1 |
2736709243 | '''
https://www.codewars.com/kata/51c8e37cee245da6b40000bd/python
'''
def solution(string:str,markers):
s_lst=string.split('\n')
content = []
for line in s_lst:
find = False
for mark in markers:
if mark in line:
find = True
line = line.split(mark)[... | SzybkiRabarbar/CodeWars | 2022-03/2022-03-29Strip Comments.py | 2022-03-29Strip Comments.py | py | 622 | python | en | code | 0 | github-code | 1 |
21049266316 | # Miguel Delapaz - CS594 - IRC Server Project
import socket
import select
import sys
from enum import Enum
try:
import queue
except ImportError:
import Queue as queue
class Command(Enum):
LOGIN = 1
LOGOUT = 2
ADD_CHANNEL = 3
JOIN_CHANNEL = 4
LEAVE_CHANNEL = 5
LIST_ROOMS = 6
LIST_USE... | mdelapaz/CS594-Project | irc_server.py | irc_server.py | py | 10,438 | python | en | code | 0 | github-code | 1 |
8249415108 | from twisted.web import server
from .base import BaseResource
class DataResource(BaseResource):
def __init__(self, dataserver):
self.dataserver = dataserver
BaseResource.__init__(self)
def render(self, request):
request.setHeader('Content-type', 'text/javascript; charset=UTF-... | wehriam/awspider | awspider/resources/data.py | data.py | py | 1,226 | python | en | code | 19 | github-code | 1 |
21012757630 | import os
import lxml
import shutil
import requests as re
import astropy.units as u
from astroquery.vizier import Vizier
from astropy.io import fits
from astropy.coordinates import SkyCoord
from bs4 import BeautifulSoup
# Create the download file directory.
data_dir = os.path.expanduser('~/astro_data/')
... | Astrohackers-TW/IANCUPyData | iancupy_data/download_file.py | download_file.py | py | 3,869 | python | en | code | 1 | github-code | 1 |
15247307437 | from AutoSequencerV2.composer import Composer
from AutoSequencerV2.runnable import Runnable
class SequentialCommandGroup(Runnable, Composer):
def __init__(self, cmdList=None):
self.cmdList = cmdList if cmdList else []
self._curCmdIdx = 0
def execute(self):
if(self._curCm... | RobotCasserole1736/firstRoboPy | AutoSequencerV2/sequentialCommandGroup.py | sequentialCommandGroup.py | py | 2,179 | python | en | code | 1 | github-code | 1 |
38149838319 | #-----------------------------------------------------------------------------
# Name: actors with images example
# Purpose: And Example file demoing actors
#
# Author: Mr. Brooks
# Created: 01-Oct-2020
# Updated: 01-Oct-2020
#---------------------------------------------------------------------... | huynhkGW/ICS-Python-Notes | examples/pgzero/games/music example.py | music example.py | py | 1,564 | python | en | code | 0 | github-code | 1 |
17517646010 | """
# Definition for Employee.
class Employee:
def __init__(self, id: int, importance: int, subordinates: List[int]):
self.id = id
self.importance = importance
self.subordinates = subordinates
"""
from collections import defaultdict
class Solution:
def getImportance(self, employees: List... | Eben-Success/A2SVOnboarding | A2SV_Education/Graph/690. Employee Importance.py | 690. Employee Importance.py | py | 714 | python | en | code | 0 | github-code | 1 |
2170063604 | import turtle
from turtle import *
turtle.speed(100)
#def draw_circle(x,y,size):
# turtle.penup()
# turtle.goto(x,y)
#def fun(x,y):
#turtle.pendown()
#t>>> turtle.fillcolor("violet")
#turtle.fillcolor()
#'violet'
#col = turtle.pencolor()
#col(50.0, 193.0, 143.0)
#turtle.fillcolor(col)
#turtle.fillcolor... | bassel16-meet/MEET-YL1 | meetconf/meetconf.py | meetconf.py | py | 2,287 | python | en | code | 0 | github-code | 1 |
71460302755 | import os
import json
def get_fields_names(fdf_file):
with open(fdf_file, "r") as f:
content = f.read()
field_names = []
start = 0
offset = len("/T (")
while not content.find("/T", start) == -1:
field_start = content.find("/T", start)
field_end = content.find(")", fie... | kai-pinckard/pdf-tools | field_value_mapping.py | field_value_mapping.py | py | 6,863 | python | en | code | 0 | github-code | 1 |
9898261445 | # Django imports.
from django.db import models
__author__ = 'Jason Parent'
class Task(models.Model):
PENDING = 'PENDING'
SUCCESS = 'SUCCESS'
FAILURE = 'FAILURE'
STATUS_CHOICES = (
(PENDING, PENDING),
(SUCCESS, SUCCESS),
(FAILURE, FAILURE),
)
objects = models.Manager... | JasonParentEAB/channeler | channeler/tasks/models.py | models.py | py | 557 | python | en | code | 1 | github-code | 1 |
25290301564 | import requests
import cv2
import cmath
import numpy as np
import time
from globals import *
from cam import tracker
import tlm
def set_resolution(url: str, index: int=1, verbose: bool=False):
try:
if verbose:
resolutions = "10: UXGA(1600x1200)\n9: SXGA(1280x1024)\n8: XGA(1024x768)\n7: SVGA(80... | ksklorz/ITproj | src/cam/video_lib.py | video_lib.py | py | 4,811 | python | en | code | 0 | github-code | 1 |
412533190 | import os
import pytest
from pandas.api.types import is_string_dtype # type: ignore
from dae.variants.attributes import Role
from dae.pedigrees.families_data import FamiliesData
from dae.pedigrees.loader import FamiliesLoader
@pytest.mark.parametrize(
"pedigree",
[
("pedigree_A.ped"),
("ped... | iossifovlab/gpf | dae/dae/pedigrees/tests/test_families_loader.py | test_families_loader.py | py | 4,050 | python | en | code | 1 | github-code | 1 |
25562508046 | """
File: testnode.py
Project 4.10
Add a remove function.
Tests the Node class.
"""
from node import Node
def length(head):
"""Returns the number of items in the linked structure
referred to by head."""
probe = head
count = 0
while probe != None:
count += 1
probe = probe.next
... | hieugomeister/ASU | CST100/Chapter_4/Chapter_4/Ch_4_Solutions/Ch_4_Projects/4.10/testnode.py | testnode.py | py | 2,651 | python | en | code | 0 | github-code | 1 |
43903665021 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 16 13:29:10 2019
@author: phoebeharmon
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 9 14:10:19 2019
@author: phoebeharmon
"""
import speech_recognition as sr
print(sr.__version__)
#Recognizer instance recongizes spe... | phoebeharmon/chat_server | speechRecPractice.py | speechRecPractice.py | py | 1,529 | python | en | code | 0 | github-code | 1 |
39426399340 | # Python Program to Calculate the Number of Upper Case Letters and Lower Case Letters in a String
name=input("Please input your string: ")
lower_n=0
lower="abcdefghijklmnopqrstuvwxyz"
upper_n=0
upper="ABCDEFGHIJKLMNOPQRSTUVWXYZ"
for i in name:
if i in lower:
lower_n+=1
if i in upper:
upper_n+=1... | YahyaNaq/INTENSIVE-PROGRAMMING-UNIT | Strings/letters.py | letters.py | py | 415 | python | en | code | 1 | github-code | 1 |
74473013793 | import tkinter as tk
from tkinter import ttk
from tkinter import filedialog
from ttkthemes import ThemedStyle
from tkinter import font
from win32 import win32api
from win32 import win32print
import os
import sys
import matplotlib.font_manager as fm
root = tk.Tk()
root.withdraw()
style = ThemedStyle(root)
... | jeerprank/Tisknu | MTisknu.py | MTisknu.py | py | 3,141 | python | en | code | 0 | github-code | 1 |
23789316450 | ###### Dictionary comprehension #########
"""name_age = {
"ijhar": 30,
"hasan": 40,
"majhar": 30
}"""
##################################
"""num_dict ={}
for num in range(1, 30):
num_dict[num] = num **3
print(num_dict)"""
############## short ###############
"""num_dict_comp = { number: numbe... | asharislam/python__dictionary_comprehension | dictionary_comprehension.py | dictionary_comprehension.py | py | 779 | python | en | code | 0 | github-code | 1 |
22525799323 | from sklearn.metrics import f1_score, matthews_corrcoef
import numpy as np
from rouge import Rouge
from src.utils import qa_utils
from datasets import load_metric
import re
class App:
def __init__(self):
self.functions = {}
def add(self, key):
def adder(func):
self.functions[key] =... | microsoft/LMOps | uprise/src/utils/metric.py | metric.py | py | 5,807 | python | en | code | 2,623 | github-code | 1 |
23065566578 | import os
import datetime
import ConfigParser
from tempfile import NamedTemporaryFile
from InvoiceGenerator.api import Invoice, Item, Client, Provider, Creator, Address
from InvoiceGenerator.pdf import SimpleInvoice
# choose english as language
os.environ["INVOICE_LANG"] = "en"
config = ConfigParser.ConfigParser()
co... | WillTuff/InvoiceGenerator | generateinvoices.py | generateinvoices.py | py | 1,480 | python | en | code | 0 | github-code | 1 |
27995731321 | import pandas as pd
import numpy as np
import nltk
nltk.download('punkt')
from nltk.tokenize import word_tokenize
df=pd.read_csv("cauhoi.csv",delimiter=";")
tt=df.Question
Answer={}
t,c=np.unique(df.Answer,return_counts=True)
for i in range(0,len(t)):
Answer[i]=t[i]
d=['(',')',',','.','!',' ','-','?','!','... | phamtri1812/website_quan_ly_mam_non | chatbot/model.py | model.py | py | 3,045 | python | vi | code | 0 | github-code | 1 |
27848566804 | import streamlit as st
import pandas as pd
from PIL import Image
import shap
import matplotlib.pyplot as plt
from sklearn import datasets
import pickle
def main():
st.write("""
# Boston House Price Prediction App
This app predicts the **Boston House Price**!
""")
image = Image.open('boston.jpg... | BingQuanChua/DataScienceApps | 08_boston_housing_regression/myapp.py | myapp.py | py | 5,010 | python | en | code | 2 | github-code | 1 |
42199060348 | #! /usr/bin/env python
"""
Finite State Methods and Statistical NLP
"""
import nltk
import pickle
import random
from os import path
from nltk.corpus import masc_tagged
from nltk.tag import hmm
from ass3utils import train_unsupervised
nltk.download('masc_tagged')
short_sent = [
"Once we have finished , we will go... | dmuiruri/nlp | fsm_snlp/fsm_snlp.py | fsm_snlp.py | py | 7,250 | python | en | code | 0 | github-code | 1 |
7161385428 | import unittest
from itertools import chain
import torch
from pytorch_metric_learning.distances import CosineSimilarity
from pytorch_metric_learning.losses import CentroidTripletLoss
from pytorch_metric_learning.reducers import MeanReducer
from .. import TEST_DEVICE, TEST_DTYPES
from ..zzz_testing_utils.testing_util... | jwlee3746/metric_learning_pytorch | pytorch-metric-learning/tests/losses/test_centroid_triplet_loss.py | test_centroid_triplet_loss.py | py | 9,166 | python | en | code | 1 | github-code | 1 |
8617676101 | import torch
from transformers import BertTokenizer, BertModel
import pandas as pd
import logging
dataset = pd.read_csv('tokenized_data_without_punctuation_stopwords_lemma.csv')
dataset = dataset[:1000]
dataset = dataset['text'].astype(str).tolist()
# Set log level to ERROR to suppress warning messages
logging.getLog... | nazlicaneroglu/NLP-Project | bertembedding.py | bertembedding.py | py | 1,073 | python | en | code | 0 | github-code | 1 |
74537810272 | import os
import shlex
import shutil
import sys
from pathlib import Path
from subprocess import check_call
from typing import Callable, Dict, List, Union
from pytest import fixture, skip
FILES_PATH = Path(__file__).parent / "files"
def call(cmd: Union[str, List[str]], cwd: Union[str, Path, None] = None) -> int:
... | jupyterlab/jupyterlab-git | jupyterlab_git/tests/conftest.py | conftest.py | py | 2,898 | python | en | code | 1,327 | github-code | 1 |
32185261146 | from copy import copy
from ldap3 import SUBTREE
from plugins.AD import PluginADScanBase
from utils.consts import AllPluginTypes
class PluginADDuplicateAccount(PluginADScanBase):
"""存在重复的账户"""
# 出现原因是不同用户登录不同域控同时添加同一账户，域控之间同步导致的，添加后有的账户只有"CNF"字段，有的账户有"CNF"的同时
# 在SAMAccountName里也有"$DUPLICATE-"字段
disp... | Amulab/CAudit | plugins/AD/Plugin_AD_Scan_1031.py | Plugin_AD_Scan_1031.py | py | 2,067 | python | en | code | 250 | github-code | 1 |
74702200993 | import pandas as pd
def merge_groups_dummies(data_set_path):
dummies_path = data_set_path.replace('.csv', '_dummies_groupscore.csv')
dummies_df =pd.read_csv(dummies_path,index_col=[0,1])
dummies_df.drop(['is_churn'],axis=1,inplace=True)
groups_path = data_set_path.replace('.csv', '_nocat_groupscore.... | carl24k/fight-churn | fightchurn/listings/chap10/listing_10_5_merge_groups_dummies.py | listing_10_5_merge_groups_dummies.py | py | 989 | python | en | code | 227 | github-code | 1 |
19460218663 | from typing import Any, Dict, List
from unittest.mock import call
import pandas
import pytest
from callee.strings import Glob, String
from tests.service_test_fixtures import ServiceTestFixture
from tests.utils import DataFrameColumnMatcher, shuffled_cases
from the_census._variables.models import Group, GroupCode, Gro... | drawjk705/the_census | tests/unit/the_census/variables/repository/variables_repo_test.py | variables_repo_test.py | py | 5,924 | python | en | code | 0 | github-code | 1 |
34337715752 | from django.conf.urls import url
from schedulizer import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^addclasses/$', views.addClasses, name='addClasses'),
url(r'^finalschedule/$', views.finalSchedule, name='finalSchedule'),
url(r'^getdars/$', views.getDars, name='getDars'),
u... | leeonlee/fsched | schedulizer/urls.py | urls.py | py | 378 | python | en | code | 0 | github-code | 1 |
10924450539 | # -*- coding:utf-8 -*-
import logging.config
import re
from bs4 import BeautifulSoup
from utils import spider_utils
logging.config.fileConfig('log.ini')
file_logger = logging.getLogger(name="fileLogger")
def get_dianping_url(url):
"""
获取大众点评数据 url
:return:
"""
# url = "http://www.dianping.com/se... | logonmy/spider-mz | spider_producer/dianping_spider.py | dianping_spider.py | py | 12,103 | python | en | code | 0 | github-code | 1 |
41244503180 | import pandas as pd
# 엑셀 데이터를 DataFrame으로 읽어옵니다.
df = pd.read_excel("c:/b.xlsx")
# 모듈과 슬롯을 저장할 변수 초기화
module_slot_ids = {}
# 데이터를 순회하며 모듈과 슬롯 정보 추출
for index, row in df.iterrows():
module = row['id']
item = row['Module']
slot = row['slot']
# 모듈과 슬롯을 조합하여 식별자 생성
identifier = f"{module} {slot}"
... | itvtt/pub | 정리/mars/mars.py | mars.py | py | 1,147 | python | ko | code | 0 | github-code | 1 |
21457847632 | import unittest
import case
class TitleCase(unittest.TestCase):
def test_single_word(self):
text = "python"
result = case.title_case(text)
self.assertEqual(result, "Python")
def test_multiple_words(self):
text = "python programming"
result = case.title_case(text)
... | Know-Thyself/python-exercises | unit_testing/simple_test.py | simple_test.py | py | 419 | python | en | code | 0 | github-code | 1 |
2593816440 | from typing import List, Optional, Tuple
from collections import defaultdict
import pickle
import json
import argparse
import os
from typing import Union, Dict
import math
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
SAVE_DIR = 'retriever_caches'
... | NoviScl/GPT3QA | tfidf_retriever.py | tfidf_retriever.py | py | 4,470 | python | en | code | 4 | github-code | 1 |
40043593113 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 15 15:28:18 2016
@author: hp
"""
def get_result(alpha):
target_df=pd.DataFrame(np.zeros((len(return_df.index),len(return_df.columns))),index=return_df.index,columns=return_df.columns)
target_df[target_df==0]=np.nan
col=list(return_df.columns)
for ... | luilui163/zht | py27/zht/quantitative/internship/cq/tool/get_result.py | get_result.py | py | 2,031 | python | en | code | 0 | github-code | 1 |
12853374215 | # Clear method
Emipro = {'Employee':'Ajay','Age':'21','City':'Thangadh','Employee':'Ajay'}
print(Emipro)
Emipro.clear()
print(Emipro)
# fromkey method
S = ['Student1','Student2','Student3','Student4']
Datas = dict.fromkeys(S)
print(Datas)
# get method
Student = {'Student1':'Ajay','Student2':'Jigar','Student3':'Sanj... | ajayr-ept/python_exercise1 | Ajay Rathod_Python Basic Exercise/firstDemo/Dictionaries/All types.py | All types.py | py | 1,270 | python | en | code | 0 | github-code | 1 |
18320858574 | import numpy as np
from sklearn.linear_model import LogisticRegression
class Camargo():
def __init__(self):
self.clssfier = LogisticRegression(class_weight='balanced')
def transform(self, source,target):
col_name = source.columns
for col in col_name:
s_median = np.log(sou... | cadet6465/eCPDP | baselines/Camargo.py | Camargo.py | py | 803 | python | en | code | 0 | github-code | 1 |
40427854063 | import numpy as np
import pandas as pd
#import time
import GA_aux_func as hp_opt
def main():
# Loading the data, shuffling and preprocessing it
# Feature Selection
data = pd.read_csv("../Dataset/breast-cancer-wisconsin.csv")
data = data.sample(frac=1)
n_samples = data.shape[0]
n_fe... | OttoMP/ga-feature-selection | Genetic_Algorithm.py | Genetic_Algorithm.py | py | 6,028 | python | en | code | 0 | github-code | 1 |
32260441088 | from curses.ascii import NUL
from templates import *
set_selected = None
# DISPLAY MAIN MENU AND HANDLE SELECTION INPUT
def choose_set():
hide_open_frames()
main_frame.pack(fill='both', expand=True)
title = tk.Label(main_frame, text="Choose a set to study", bg=BG_COLOR, fg=FONT_COLOR,
... | AlessiaRuggiero/geography-flashcards | main.py | main.py | py | 6,606 | python | en | code | 0 | github-code | 1 |
41798632502 | #!/usr/bin/python3
from argparse import ArgumentParser
import logging
import mympd
import myhttp
import socket
import sys
import threading
import time
from tkinter import *
import datetime
import random
import parser
from math import cos
from math import sin
from math import tan
import os
import vlc
import platform
... | LumiH/Adaptive-Informative-Real-Time-Streaming | stream.py | stream.py | py | 17,754 | python | en | code | 2 | github-code | 1 |
3196161243 | # Given a non-empty string s and a dictionary wordDict containing a list of non-
# empty words, add spaces in s to construct a sentence where each word is a valid
# dictionary word. Return all such possible sentences.
#
# Note:
#
#
# The same word in the dictionary may be reused multiple times in the segmentat... | niufenjujuexianhua/Leetcode | [140]Word Break II.py | [140]Word Break II.py | py | 2,428 | python | en | code | 0 | github-code | 1 |
29248023161 | import os,shutil
from jds_utils.yes_or_no import yes_or_no
def mkdir_ask(path,make_path=False):
if os.path.exists(path):
consent = yes_or_no("%s already exists. Delete it?"%path)
if consent:
shutil.rmtree(path)
else:
raise IOError
if make_path: os.makedirs(path)
... | joschu/python | jds_utils/dir_tools.py | dir_tools.py | py | 535 | python | en | code | 8 | github-code | 1 |
3097247249 | import argparse
def read_user_cli_args():
"""Handle the CLI arguments and options."""
parser = argparse.ArgumentParser(
prog="sitechecker", description="Teste a disponibilidade de uma URL"
)
parser.add_argument(
"-u",
"--urls",
metavar="URLs",
nargs="+... | hugosousa111/sitechecker | sitechecker/cli.py | cli.py | py | 1,065 | python | pt | code | 0 | github-code | 1 |
13461378784 | import sys
import os
import re
import json
import xmltodict
import time
import subprocess
import calendar
from ..job_tracker import move_to_next_step, get_job_json
from ..util import get_md5
import shutil
name = 'downloading'
next_step = 'uploading'
bucket_url = 's3://oicr.icgc/data/'
def get_name():
global nam... | ICGC-TCGA-PanCancer/s3-data-qc | s3objectqc/ceph_qc/downloading.py | downloading.py | py | 8,261 | python | en | code | 0 | github-code | 1 |
25953580166 | ############### Blackjack Project #####################
############### Blackjack House Rules #####################
## The deck is unlimited in size.
## There are no jokers.
## The Jack/Queen/King all count as 10.
## The the Ace can count as 11 or 1.
## Use the following list as the deck of cards:
## The cards in ... | navil-noor/Python | Days-of-Python/11-blackjack/main.py | main.py | py | 3,428 | python | en | code | 0 | github-code | 1 |
26185358631 | def start():
print("Enter a Brand")
item = str(input())
if item in 'Adidas':
adidas()
elif item == 'Nike':
nike()
else:
error()
def adidas():
print("Enter shoe")
item = str(input())
if item == 'Original':
noProfit()
elif item == 'Yeezy'... | mmellone99/sneaker-resale | SneakerResale.py | SneakerResale.py | py | 3,173 | python | en | code | 0 | github-code | 1 |
42613974193 | import matplotlib.pyplot as plt
# Create the figure and axes
fig, ax = plt.subplots()
# Sample data
x = [1, 2, 3, 4, 5]
y = [10, 15, 7, 12, 8]
# Plot the data
ax.plot(x, y)
# Set x-tick positions and labels
xtick_positions = range(min(x), max(x)+1)
xtick_labels = [str(xtick) for xtick in xtick_positions]
ax.set_xti... | wendycahya/Yaskawa-Communication | IntegratedSystem/Basic Function Test/xticks-function.py | xticks-function.py | py | 472 | python | en | code | 3 | github-code | 1 |
10994818252 | class TSP:
def __init__(self,matrix,S):
self.m=matrix
self.S=S
self.N=len(matrix)
def tsp(self):
N=self.N
m=self.m
S=self.S
memo=[[float('inf') for i in range(2**N)]for j in range(N)]
self.setup(m,memo,S,N)
self.solve(m,memo,S,N)
mi... | Shubham2912/Graph | Basic TSP with path.py | Basic TSP with path.py | py | 3,629 | python | en | code | 0 | github-code | 1 |
11002315457 | class Solution:
def findMin(self, nums: List[int]) -> int:
min_val = float('inf')
left = 0
right = len(nums) - 1
while left <= right:
mid = (left + right) // 2
min_val = min(min_val, nums[mid])
if nums[mid] > nums[right]:
left = m... | peaqi/mock | Python/153. Find Minimum in Rotated Sorted Array/better.py | better.py | py | 424 | python | en | code | 0 | github-code | 1 |
21035746373 | # 请实现两个函数，分别用来序列化和反序列化二叉树
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
flag = -1
def Serialize(self, root):
"""
对于序列化：使用前序遍历，递归的将二叉树的值转化为字符，并且在每次二叉树的结点
不为空时，在转化val所得的字符之后添加一个' ， '作为分割。对于空节点则以 '#' 代... | EarthChen/LeetCode_Record | newcoder_offer/serialize_deserialize.py | serialize_deserialize.py | py | 1,218 | python | zh | code | 0 | github-code | 1 |
12083730428 | import pygame, random
pygame.init()
SIZE = WIDTH, HEIGHT = 1200, 700
SCREEN = pygame.display.set_mode(SIZE)
WHITE = 255,255,255
BLACK = 0,0,0
class Ball:
def __init__(self):
self.x = 100
self.y = 100
self.radius = 50
self.move_x = random.random()
self.move_y... | brainmentorspvtltd/RKGIT_IOT | OOPS/BallGame.py | BallGame.py | py | 1,556 | python | en | code | 5 | github-code | 1 |
36682257881 | # -*- coding: utf-8 -*-
"""
Created on Sun May 30 11:19:57 2021
@author: Gaurav
"""
import cv2
import mediapipe as mp
import time
from google.protobuf.json_format import MessageToDict
cap = cv2.VideoCapture(0)
mphands = mp.solutions.hands
hands = mphands.Hands()
mpDraw = mp.solutions.drawing_utils
ptime = 0
ctime... | kanojia-gaurav/Advance_opencv | Hand_using_mediaPipe/Hand_detection.py | Hand_detection.py | py | 1,251 | python | en | code | 0 | github-code | 1 |
30550400117 | def isTrue(obj, attr) :
return hasattr(obj, attr) and getattr(obj, attr)
import numpy as np
import torch
def get_sorting_index_with_noise_from_lengths(lengths, noise_frac) :
if noise_frac > 0 :
noisy_lengths = [x + np.random.randint(np.floor(-x*noise_frac), np.ceil(x*noise_frac)) for x in lengths]
... | lijiehu95/SEAT | attention/model/modelUtils.py | modelUtils.py | py | 6,648 | python | en | code | 0 | github-code | 1 |
7954284443 | from commom.BrowserStartUp import *
import requests
import json
class RunMain():
# 设置GET请求的带参数的cookie信息
def sent_get_by_cookies(self, url, cookies, paramdata=None):
headers = {"Content-Type": "application/json"}
response = requests.get(BaseUrl()+url,cookies=getCookies(cookies),data=json.dumps(pa... | King-BAT/RanZhi | RanZhiPython/commom/SendHttp.py | SendHttp.py | py | 1,279 | python | en | code | 0 | github-code | 1 |
22093481270 | import random
def run():
numero_aleatorio=random.randint(1,100)
numero_elejido=int(input('Elije un numero del 1 al 100 : '))
while numero_aleatorio != numero_elejido :
print(numero_aleatorio)
if numero_elejido < numero_aleatorio:
print('Busca un numero mayor')
else:
... | jjestrada2/jjestrada2.github.io | Juego.py | Juego.py | py | 497 | python | es | code | 1 | github-code | 1 |
4404407019 | import snap
import numpy as np
import numpy.linalg as la
import matplotlib.pyplot as plt
# The function to calculate the distance between two Network of the virtual tree
def distance(NId1, NId2, b, H):
# NId1 and NId2 are the IDs of two nodes
# b is the number of each parent's children
# H is the height of... | myishh/adb | hw1/search.py | search.py | py | 2,931 | python | en | code | 0 | github-code | 1 |
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