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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
22011657649 | import time
from fgo.common import *
from fgo.管理室 import 随便选任务
from PIL import ImageGrab
from fgo.model import stable_predict
import numpy as np
def 使用小技能(英灵位=0, 技能位=0):
def 决定():
def 取消():
return MoveTo(1110, 185) + click()
return MoveTo(875, 429) + click() + Wait(Exact(0.90)) + 取消()
... | thautwarm/do-you-like-wan-you-si | fgo/战斗.py | 战斗.py | py | 2,638 | python | en | code | 11 | github-code | 36 |
43587658067 | import json as _json
import re as _re
from typing import List as _List
from mitmproxy.http import HTTPFlow as _HTTPFlow
from mitmproxy.io import FlowReader as _FlowReader
from mitmproxy.io import FlowWriter as _FlowWriter
from mitmproxy.io import tnetstring as _tnetstring
from . import utils as _utils
# ---------- C... | PSS-Tools-Development/pss-api-parser | src/anonymize.py | anonymize.py | py | 5,070 | python | en | code | 4 | github-code | 36 |
36304843373 | Import("env")
def get_build_flag_value(flag_name):
build_flags = env.ParseFlags(env['BUILD_FLAGS'])
flags_with_value_list = [build_flag for build_flag in build_flags.get('CPPDEFINES') if type(build_flag) == list]
defines = {k: v for (k, v) in flags_with_value_list}
return defines.get(flag_name).strip('... | Georgegipa/UKP | scripts/rename_bin_file.py | rename_bin_file.py | py | 475 | python | en | code | 0 | github-code | 36 |
33914103336 | import os
import unittest
from unittest import mock
from imageops.server import Server
from imageops.utils import Utils
class ServerCheckTest(unittest.TestCase):
"""
Unit Test Cases about Server Module
"""
def setUp(self):
file_path = os.path.abspath(os.path.dirname(__file__))
os.env... | EdgeGallery/toolchain | imageops/imageops/tests/test_server_check.py | test_server_check.py | py | 3,281 | python | en | code | 19 | github-code | 36 |
70951081705 | import numpy as np
import unittest
import javabridge as J
import imagej.imageplus as I
import imagej.imageprocessor as IP
class TestImageProcessor(unittest.TestCase):
def setUp(self):
J.attach()
def tearDown(self):
J.detach()
def test_01_01_get_image(self):
from cellprofiler.modu... | AnneCarpenter/python-imagej | tests/test_imageprocessor.py | test_imageprocessor.py | py | 1,035 | python | en | code | 0 | github-code | 36 |
21323942849 | from turtle import Turtle
ALIGNMENT = "center"
FONTS = {
"default": ("Courier", 15, "normal"),
"big": ("Courier", 25, "normal"),
}
class Scoreboard(Turtle):
def __init__(self):
super().__init__(visible=False)
self.score = 0
self.high_score = open("data.txt").read()
self.colo... | happy09123/Snake-Game | scoreboard.py | scoreboard.py | py | 1,290 | python | en | code | 0 | github-code | 36 |
15640198972 | from django.conf.urls import url,include
from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
from . import views
urlpatterns = [
url(r"^$", views.HomePage.as_view(), name="home"),
url(r"^index/$", views.TestPage.as_view(), name="test"),
url(... | itzikorfa/SE-Lite-Scrum | SE_Project_VerX/urls.py | urls.py | py | 1,153 | python | en | code | 0 | github-code | 36 |
72545214823 | import hashlib
class Codec:
def __init__(self):
self.url_list=[]
self.hash_map={}
self.current_id=0
self.alphabet='0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
def encode(self, longUrl):
shortUrl = 'http://tinyurl.com/'
m = hash... | zhongchong/Leetcode | Leetcode/535.py | 535.py | py | 1,052 | python | en | code | 0 | github-code | 36 |
8161754177 | import multiprocessing
import time
def pro1(q):
# q에 데이터를 넣는다
for i in range(100):
q.put(str(i))
time.sleep(0.1)
def pro2(q):
# q에 데이터를 빼낸다
for i in range(100):
item = q.get()
print(item)
# JoinableQueue
q.task_done()
if __name__ == '__main__':
queu... | weatherbetter/levelup-python | multi_process/multiprocess_JoinableQueue.py | multiprocess_JoinableQueue.py | py | 540 | python | en | code | 0 | github-code | 36 |
29648508373 | #! /usr/bin/env python3
# Author: Mohit Saini (mohitsaini1196@gmail.com)
"""
The entry point of DepG library. Read the `README.md` for more details.
"""
# pylint: disable=missing-function-docstring
# pylint: disable=invalid-name
# pylint: disable=missing-class-docstring
import os
from . import target_graph_builder... | mohitmv/depg | depg_lib_main.py | depg_lib_main.py | py | 2,978 | python | en | code | 0 | github-code | 36 |
19279680101 | import datetime
import os
import tensorflow as tf
import numpy as np
class Runner(object):
def __init__(self, agent, env, train, load_path):
self.agent = agent
self.env = env
self.train = train # True: entrenar agente, False: se carga agente entrenado
self.episode = 1
se... | ericPrimelles/RLProject | runner.py | runner.py | py | 4,209 | python | en | code | 0 | github-code | 36 |
38799425699 | import discord
import bdg
import enum
import requests
import bs4
import datetime
class BrawlModes(enum.Enum):
BRAWLBALL = "brawlBall"
SOLOSHOWDOWN = "soloShowdown"
DUOSHOWDOWN = "duoShowdown"
GEMGRAB = "gemGrab"
BOUNTY = "bounty"
HOTZONE = "hotZone"
KNOCKOUT = "knockout"
HEIST = ... | DanielKMach/BotDusGuri | src/commands/utilities/brawlmeta.py | brawlmeta.py | py | 3,277 | python | en | code | 1 | github-code | 36 |
417814461 | import os
from collections import defaultdict
def file_statistics(parent_dir):
files_dict = defaultdict(list)
for root, dirs, files in os.walk(parent_dir):
for file in files:
stat = os.stat(os.path.join(root, file))
if stat.st_size <= 100:
files_dict[100].append... | Shorokhov-A/practical_tasks | Shorokhov_Andreiy_dz_7/task_7_4.py | task_7_4.py | py | 747 | python | en | code | 0 | github-code | 36 |
16895923091 | from tkinter import Tk,Button,Label,Frame,Canvas,Entry,Text,StringVar, ttk, filedialog, messagebox
import pandas as pd
from pandas import datetime, read_csv
import numpy as np
import matplotlib as mp
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
from matplotlib.figure impor... | FernandoLopezC/TSA | base.py | base.py | py | 19,718 | python | en | code | 0 | github-code | 36 |
35401057235 | class Bank:
def __init__(self,name):
self.name=name
self.balance=0
def deposit(self):
amount=int(input(f"Dear {self.name},Enter the amount that to be deposit : "))
self.balance=self.balance+amount
print(f"-->{amount} deposited successfully....")
print("Dear ",sel... | PranitRohokale/My-programs | bank account.py | bank account.py | py | 1,612 | python | en | code | 0 | github-code | 36 |
15444060214 | #!/usr/bin/env python
from __future__ import print_function
import sys
import argparse
def parse_stdin(in_file):
d = {}
for line in in_file:
if ':' in line:
split = line.split(':')
stripped = [s.strip() for s in split]
#if len(stripped) > 2:
# print '... | amandasystems/cocp-automation-2017 | conductor/gather_stats.py | gather_stats.py | py | 1,288 | python | en | code | 0 | github-code | 36 |
16821571488 | # Author: Bill Pengyuan Zhai. Harvard University. Yelin Group. Oct 2022
from Utils_torch_version import Network, get_nn_pairs, binary_basis, unpacknbits
import numpy as np
import matplotlib.pyplot as plt
from scipy import sparse
import scipy
import scipy.linalg
import qiskit
import time
import torch
import math
# try... | BILLYZZ/NFNet | Benchmark_torch_version_partial.py | Benchmark_torch_version_partial.py | py | 9,049 | python | en | code | 1 | github-code | 36 |
42335398411 | import warnings
import torch
from mmdet.core import bbox2result
from ..builder import DETECTORS, build_backbone, build_head, build_neck
from .base import BaseDetector
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class TestGtDetector(SingleStageDetector):
"""Base class for single-sta... | mengqiDyangge/HierKD | mmdet/models/detectors/single_stage_test.py | single_stage_test.py | py | 1,754 | python | en | code | 32 | github-code | 36 |
43194848130 | import pickle as pkl
import numpy as np
from utils import clean_str
import scipy.sparse as sp
from tqdm import tqdm
from utils import clean_str
import torch
word_embeddings = dict()
with open('glove.840B.300d.txt', 'r') as f:
for line in f.readlines():
data = line.split(' ')
word_embedd... | MathIsAll/HDGCN-pytorch | build_fixed_graph.py | build_fixed_graph.py | py | 7,500 | python | en | code | 5 | github-code | 36 |
41573028205 | import logging
def get_logger():
"""Get logging."""
logging.getLogger('matplotlib.font_manager').setLevel(logging.WARNING)
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s: - %(message)s',
datefmt='%Y-%... | TitusWjt/class3 | utils/log.py | log.py | py | 474 | python | en | code | 0 | github-code | 36 |
20420839973 | # -*- coding: utf-8 -*-
from threading import Thread
import queue
import json
import os , sys
#导入requests库(请求和页面抓取)
import requests
#导入time库(设置抓取Sleep时间)
import time
#导入random库(生成乱序随机数)
import random
#导入正则库(从页面代码中提取信息)
import re
#导入数值计算库(常规计算)
import numpy as np
from PIL import Image
from wordcloud import WordCloud
#导... | ltzone/EE208Lab | jd_cmt_tags/_jd_cmt_TAGS.py | _jd_cmt_TAGS.py | py | 3,546 | python | en | code | 0 | github-code | 36 |
23258044940 | import tensorflow as tf
import numpy as np
sess = tf.Session()
X = tf.placeholder(tf.float32, shape=(100, 3))
y = tf.placeholder(tf.float32, shape=(100))
beta = tf.placeholder(tf.float32, shape=(3))
p = tf.math.sigmoid(tf.tensordot(X, beta, 1))
Loss = -tf.math.reduce_sum(y * tf.math.log(p) + ((1. - y) * tf.math.log... | MarcToussaint/AI-lectures | MachineLearning/nn-exercise/getting_started.py | getting_started.py | py | 987 | python | en | code | 67 | github-code | 36 |
34601010887 | # Implement the function unique_in_order which takes as argument a sequence and returns a list of items without any elements with the same value next to each other and preserving the original order of elements.
# For example:
# unique_in_order('AAAABBBCCDAABBB') == ['A', 'B', 'C', 'D', 'A', 'B']
# unique_in_order('AB... | raqune89/CodeWars | Unique In Order.py | Unique In Order.py | py | 738 | python | en | code | 0 | github-code | 36 |
38715815112 | #!/usr/bin/env python3
pad = (
(None, None, '1', None, None),
(None, '2', '3', '4', None),
('5', '6', '7', '8', '9'),
(None, 'A', 'B', 'C', None),
(None, None, 'D', None, None)
)
row = 2
col = 0
combo = []
with open('input.txt', 'r') as f:
for line in f:
for c in line.strip():
... | lvaughn/advent | 2016/2/combo_lock_2.py | combo_lock_2.py | py | 981 | python | en | code | 1 | github-code | 36 |
74329032423 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
import django_extensions.db.fields
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Station',
... | opendata-stuttgart/metaEFA | meta_efa/main/migrations/0001_initial.py | 0001_initial.py | py | 1,045 | python | en | code | 33 | github-code | 36 |
4656654500 | __author__ = 'Giuliano'
import tkinter as tk
from tkinter import *
root = tk.Tk()
root.geometry("400x650")
root.configure(background='orange')
class Application(tk.Frame):
def __init__(self, master=None):
tk.Frame.__init__(self, master)
self.configure(background='orange')
self.pack()
... | Alexanderkorn/A3-project | code/raster.py | raster.py | py | 3,162 | python | en | code | 0 | github-code | 36 |
37314300998 | # -*- coding:utf-8 -*-
from openpyxl import Workbook
from datetime import datetime
def write_excel(filename):
wb = Workbook() # load_work(filename)
ws = wb.create_sheet('sheet', 0)
wb.remove('sheet')
ws = wb.active # default Sheet
ws.title = 'Pi'
ws['A1'] = 3.1415926
ws['A2'] = datetime... | huazhicai/Demo | openpyxl/demo2.py | demo2.py | py | 580 | python | en | code | 0 | github-code | 36 |
31345155935 | import csv
def get_flow_size_in_packets(tcpflows, udpflows):
tcp_output = open("tcp_flow_size_packets.csv", "w")
tcp_writer = csv.writer(tcp_output, delimiter=',',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
udp_output = open("udp_flow_size_packet.csv", "w")
udp_writer = csv.... | David47295/d58courseproject | d58/flow_size.py | flow_size.py | py | 2,457 | python | en | code | 0 | github-code | 36 |
12227662181 | #!/home/mcollier/miniconda3/bin/python
# -*- coding: utf-8 -*-
__author__ = "Matthew Collier"
__version__ = "0.5"
# Typical use cases:
#hf> /media/mcollier/ONYX/ONYX/W/portfolio/scripts/scan.py -v
#hf> /media/mcollier/ONYX/ONYX/W/portfolio/scripts/scan_db.py -s WMT
#hf> /media/mcollier/ONYX/ONYX/W/portfolio/scripts/sc... | mcStargazer/hf | scan_db.py | scan_db.py | py | 17,177 | python | en | code | 0 | github-code | 36 |
13442778323 | import os
import argparse
import tensorflow as tf
import numpy as np
from load import load_graph
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
"""
Adapted from https://gist.github.com/morgangiraud/4a062f31e8a7b71a030c2ced3277cc20#file-medium-tffreeze-3-py
"""
if __name__ == '__main__':
parser = argparse.ArgumentParse... | Yunski/nvidia-cnn | test_load.py | test_load.py | py | 961 | python | en | code | 9 | github-code | 36 |
15820786578 | # -*- coding: utf-8 -*-
#+--------------------------------------------------------------------------+#
# Importem mòduls #
#+--------------------------------------------------------------------------+#
from distancies import Cosinus, Intersection
#+---------... | segama4/Image_Search_Engine | recuperador.py | recuperador.py | py | 1,427 | python | en | code | 0 | github-code | 36 |
4712176028 | import numpy as np
import os
import trimesh.points
from abc import ABC
from typing import List, Union
from dataclasses import dataclass
from OpenGL import GL as gl
from .renderable import Renderable
from .shaders.shader_loader import Shader
from ..camera.models import BaseCameraModel, StandardProjectionCameraModel
fro... | vguzov/cloudrender | cloudrender/render/pointcloud.py | pointcloud.py | py | 12,029 | python | en | code | 16 | github-code | 36 |
1812506827 | import os
import re
import torch
from PIL import Image
from torch.utils.data import Dataset
import torchvision.transforms as T
import utils
class MyDataset(Dataset):
def __init__(self, file_list: list, name2label, transform_flag=True):
self.file_list = file_list
self.name2label = name2label
... | newchexinyi/mobilefacenet | dataset.py | dataset.py | py | 1,225 | python | en | code | 0 | github-code | 36 |
7702285883 | # names = ['heier1', 'heier2', 'heier3']
# for name in names:
# print( name )
sum = 0
for x in list( range(101) ):
sum += x
print( sum )
sum = 0
n = 100
while n > 0:
sum = sum + n
n = n - 2
print(sum)
| Heier2013/learn_python | cycle.py | cycle.py | py | 220 | python | en | code | 0 | github-code | 36 |
5950813494 | import os
class Weapon:
stats = {
"name": "Default_Weapon",
"dmg": 1
}
def __init__(self, weapon):
# Select Weapon File
weapon_path = "game\data\weapons"
# Parsing Data
try:
with open(weapon_path + '/' + weapon, "r") as weapon_values:
... | jalowe13/The-One-Python | The-One-Python/The-One-Python/game/mechanics/weapon.py | weapon.py | py | 869 | python | en | code | 0 | github-code | 36 |
8254895274 | import sys
grades = {'Biology':80, 'Physics':88, 'Chemistry':98, 'Math':89, 'English':79, 'Music':67, 'History':68, 'Art':53, 'Economics':95, 'Psychology':88}
def g (x):
y = {}
for key, value in grades.items():
if key != x:
y[key] = value
mean = sum(y.values()) / len(y)
mean1 = round(mean,... | bferguson02/Python_Programs | grades.py | grades.py | py | 361 | python | en | code | 0 | github-code | 36 |
44265086055 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import pandas as pd
df = pd.read_csv("File.txt", sep=" ")
#print(df)
moviewriter = animation.FFMpegWriter( fps=60)
fig = plt.figure(figsize=(12, 6))
with moviewriter.saving(fig, 'myfile.mp4', dpi=100):
integration_time = ... | josephmckenna/2021_April_IOP_IntroductionToCpp_Part1 | extras/AnimateFigure.py | AnimateFigure.py | py | 1,004 | python | en | code | 6 | github-code | 36 |
19245162119 | '''
CS5001
Fall 2022
Elif Tirkes
Homework 3: What color is that square?
'''
from chessboard import check_valid_row
from chessboard import check_valid_column
def main():
test_squares()
def test_column_validity():
'''
Function -- test_column_validity
presents three string-only te... | skippyskiddy/Python-Projects | Pokemon & Chess - Loops & Conditionals/test_squares.py | test_squares.py | py | 2,210 | python | en | code | 0 | github-code | 36 |
35681548851 | import os
import sys
import cv2
import time
import pickle
import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
from sklearn.svm import SVC
from sklearn.metrics import confusion_matrix,accuracy_score,f1_score
def generate_pca_dataset(datapath):
time1 = time.clock()
folders = [
'00000001', '00... | pradyumnameena/COL774-Machine-Learning | Assignment-4/pca.py | pca.py | py | 9,783 | python | en | code | 0 | github-code | 36 |
38110745441 | import os
import shutil
from pathlib import Path
def checkPathExists(filePath):
if not (os.path.exists(filePath)):
errorMessage = f'File Path not found: {filePath}'
print(errorMessage)
raise FileNotFoundError(errorMessage)
def recreateFolderPath(filepath):
if not (os.path.exists(filepath)):
print(f'Cr... | ibaadaleem/filmDatabase | fileManagement.py | fileManagement.py | py | 1,354 | python | en | code | 0 | github-code | 36 |
40165431906 | # -*- encoding: utf-8 -*-
from django import template
from django.contrib import admin
from django.conf import settings
register = template.Library()
'''
templatetag, obtiene la configuración del menú
'''
def get_config_menu():
return Menu.get_menu(self)
register.filter('get_config_menu')
class Menu(object):
... | elmanos/vari | vari/localesapp/templatetags/menu.py | menu.py | py | 1,276 | python | es | code | 0 | github-code | 36 |
13123666146 | #!/usr/bin/env python
# coding: utf-8
# # Finding appropriate parametric models
# - Code from: https://lifelines.readthedocs.io/en/latest/Examples.html
# In[1]:
# Imports
from lifelines import *
from lifelines.plotting import qq_plot
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seab... | mikkorekstad/M30-DV | Module C (Model Appropriateness)/Response Distributions.py | Response Distributions.py | py | 3,895 | python | en | code | 0 | github-code | 36 |
23297154753 | """
Series Meta Analysis.
Some day this will be either the parent class of TAM and Adoption, or at least used by them.
For now, needed to have the general class for use in integrations where it is sometimes used in unique ways.
Note, at this time, this class does *not* handle the interpolation, fitting, etc;
we will ne... | ProjectDrawdown/solutions | limbo/sma.py | sma.py | py | 6,839 | python | en | code | 203 | github-code | 36 |
24951711823 | from flask import render_template, request, redirect
from app import app
from models.book import *
from models.book_list import book_list, add_new_book, delete_book
@app.route('/')
def index():
return render_template('index.html', book_list = book_list)
@app.route('/stock')
def display_stock():
return render_... | sshingler/Flask-library_homework | controllers/controller.py | controller.py | py | 1,287 | python | en | code | 0 | github-code | 36 |
30071209692 | # -*- coding: utf-8 -*-
""" This code is open-sourced software licensed under the MIT license"""
""" Copyright 2019 Marta Cortes, UbiComp - University of Oulu"""
""" Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to d... | CUTLER-H2020/DataCrawlers | Economic/antalya_econ_cityofantalya_cityzonepuplictransportationpasengernumber_monthly.py | antalya_econ_cityofantalya_cityzonepuplictransportationpasengernumber_monthly.py | py | 5,426 | python | en | code | 3 | github-code | 36 |
36728615207 | from pwn import *
from time import sleep
port = 11021
pw= '13462b403d91edd8c8389517c1eca3ed'
for i in range(1,40):
print(pw)
sleep(2)
context.arch='amd64'
#p = process('./lol2.bin')
p = remote("auto-pwn.chal.csaw.io", port)
#pid = gdb.attach(p, gdbscript="""
# b * runChallenge
# ... | Aleks-dotcom/ctf_lib_2021 | csaw_finals/pwn/crafty/parser.py | parser.py | py | 2,317 | python | en | code | 1 | github-code | 36 |
36819222640 | # type: ignore
with open("input") as f:
program = [tuple(line.strip().split()) for line in f]
cycle = 0
reg = 1
rem = 0
strength = 0
out = []
for inst in program:
if inst[0] == "addx":
rem = 2
op = lambda r: r + int(inst[1])
elif inst[0] == "noop":
rem = 1
op = lambda r: r
... | ocaballeror/adventofcode2022 | 10/day10.py | day10.py | py | 791 | python | en | code | 0 | github-code | 36 |
13397163994 | """First prediction agent based on neural network."""
import numpy as np
from dlgo.agent.base import Agent
from dlgo.agent.helpers import is_point_an_eye
from dlgo import encoders
from dlgo import goboard
from dlgo import kerasutil
class DeepLearningAgent(Agent):
"""Deep Learning Agent Class."""
def __init__(... | Nkonovalenko/GoAI | dlgo/agent/predict.py | predict.py | py | 2,968 | python | en | code | 0 | github-code | 36 |
2582809755 | #In this challenge, you get to be the _boss_. You oversee hundreds of employees across the country developing Tuna 2.0, a world-changing snack food based on canned tuna fish. Alas, being the boss isn't all fun, games, and self-adulation. The company recently decided to purchase a new HR system, and unfortunately for yo... | pratik509/python-challenge | Pyboss/pyboss.py | pyboss.py | py | 4,175 | python | en | code | 0 | github-code | 36 |
8158020365 | import requests
import urllib
import json
import time
import pymysql
def get_latitude_longtitude(address):
address = urllib.parse.quote(address)
url = "https://maps.googleapis.com/maps/api/geocode/json?address=" + address+"&key=AIzaSyAzA3f6KHEpViCBcLFSWS3a2ywVr3fCIvY"
while True:
res = requests.get... | NTUBimd1092/project-1 | python/GeoAPI.py | GeoAPI.py | py | 1,979 | python | en | code | 0 | github-code | 36 |
21037490132 | '''
Thought process:
create new container, fill up all elements from nums1 and nums2
find median.
Time complexity O(m+n)
'''
class Solution:
def findMedianSortedArrays(self, nums1: list[int], nums2: list[int]) -> float:
combine_list = []
i1 = 0
i2 = 0
while i1 < len(nums1) and i... | lochuhsin/LeetCodeRepo | algorithm/array/4. Median of Two Sorted Arrays(hard).py | 4. Median of Two Sorted Arrays(hard).py | py | 2,038 | python | en | code | 3 | github-code | 36 |
16127772066 | import cv2
import imageio
import pathlib
def fadeInGif(pathimg1, pathimg2, filegif, len=10, frames_per_second=2):
img1 = cv2.imread(pathimg1)
img2 = cv2.imread(pathimg2)
listimg = []
for seq in range(0,len):
fadein = seq/float(len)
dst = cv2.addWeighted(img1, 1-fadein, img2, fadein, 0... | doubsman/LedPanel64 | python_dev/TransitionGif.py | TransitionGif.py | py | 634 | python | en | code | 1 | github-code | 36 |
35438464473 | from torch.utils.data import random_split
import torch
import argparse
import json
from pathlib import Path
from dataloader import SquadLocalContextContrastiveDataset, QuacLocalContextContrastiveDataset, get_quac_sets, get_squad_sets
from model import QClip
from trainer import Trainer
from tracker import WandBTracker
... | Veldrovive/QuestionContext | main.py | main.py | py | 10,429 | python | en | code | 0 | github-code | 36 |
6703674654 | import os, shutil
from datetime import datetime, timedelta
from tkinter import *
import tkinter as tk
from tkinter import filedialog, messagebox, ttk
import sqlite3
def load_gui(self):
# GUI set up using tkinter.
self.lbl_origin = tk.Label(self.master, bg = "silver", text = "Origin directory:... | sajibhaskaran/Python_drills | PyDrill_db/modified_files_gui.py | modified_files_gui.py | py | 7,843 | python | en | code | 0 | github-code | 36 |
21664219940 | """
Receive an image
- Global binarize image
- Find word (connected component RETR_BOUNDARY)
- Find Rectilinear Polygon
Return an list of points in order
"""
import cv2
import numpy as np
import sys
import matplotlib.pyplot as plt
PADDING = 2
def binarize(img):
gray = cv2.cv... | qcuong98/clabel | rectilinear_polygon.py | rectilinear_polygon.py | py | 3,815 | python | en | code | 0 | github-code | 36 |
28932021496 | from django.shortcuts import render, redirect
from models import Book
# Create your views here.
def index(request):
books = Book.objects.all;
context = {
'books': books
}
return render(request, 'app/index.html', context)
def process(request):
if request.method == "POST":
Book.objec... | melissaehong/AllProjects | Python/django/fullstackbooks/apps/app/views.py | views.py | py | 460 | python | en | code | 1 | github-code | 36 |
37244411947 | # -*- coding: utf-8 -*-
"""
CAD120 data reader that is compatible with QSRlib.
:Author: Yiannis Gatsoulis <y.gatsoulis@leeds.ac.uk>
:Organization: University of Leeds
"""
from __future__ import print_function, division
import sys
import argparse
import timeit
import ConfigParser
import os
try:
import cPickle as p... | gatsoulis/strands_data_to_qsrlib | src/cad120/cad120_qsr_keeper.py | cad120_qsr_keeper.py | py | 4,946 | python | en | code | 0 | github-code | 36 |
70846797543 | from pymongo import MongoClient
from datetime import datetime
import os, sys
sys.path.append(os.path.join(os.path.dirname(sys.path[0]), 'backend'))
import Model
import Repository as repo
def make_seats(secL, secH, rowL, rowH, seatL, seatH, secI=1, rowI=1, seatI=1):
seats = []
for sec in range(secL, secH, secI... | DannyBarbaro/SeatSwap | db_code/EventCreator.py | EventCreator.py | py | 1,618 | python | en | code | 0 | github-code | 36 |
27894883857 | def articulation_points_util(graph, u, visited, disc, low, parent, time, result):
visited[u] = True
disc[u] = time[0]
low[u] = time[0]
time[0] += 1
children = 0
for v, w in enumerate(graph[u]):
if w:
if v == parent[u]:
continue
elif visited[v]:
... | stgleb/algorithms-and-datastructures | graphs/articulation_points.py | articulation_points.py | py | 1,325 | python | en | code | 0 | github-code | 36 |
3721701885 | import environ
from io import BytesIO
from PIL import Image, ImageFilter
env = environ.Env()
FILTERED_FILES = env('FILTERED_FILES', default='process_service/tmp/filtered')
def filter(file, filename, ext, method='blur', is_file=False):
filt = filt_obj.get(method, None)
Filter = getattr(ImageFilter, filt)
... | olacodes/prog-image | process_service/filtering/filter.py | filter.py | py | 875 | python | en | code | 1 | github-code | 36 |
22153329187 | x = int(input())
for i in range(x):
a, b = list(map(int, input().split()))
result = b - a
d = result % 2
if result > 0:
if d == 0:
print(2)
else:
print(1)
elif result < 0:
if d == 0:
print(1)
else:
print(2)... | saurav912/Codeforces-Problemset-Solutions | CDFAddOddorSubtractEven.py | CDFAddOddorSubtractEven.py | py | 658 | python | en | code | 0 | github-code | 36 |
20832740847 | import awkward as ak
from pocket_coffea.lib.cut_definition import Cut
def dilepton(events, params, year, sample, **kwargs):
MET = events[params["METbranch"][year]]
# Masks for same-flavor (SF) and opposite-sign (OS)
SF = ((events.nMuonGood == 2) & (events.nElectronGood == 0)) | (
(events.nMuonGood ... | ryanm124/AnalysisConfigs | configs/ttHbb/custom_cut_functions.py | custom_cut_functions.py | py | 1,172 | python | en | code | null | github-code | 36 |
72219406185 | import math
import os.path
from os.path import join
import random
import torch
from torch.utils.data import DataLoader, Dataset
from typing import Dict, AnyStr, Any
from torchvision.transforms import transforms
from .image_folder import is_image_file, make_dataset
from PIL import Image
import numpy as np
from PIL imp... | leelxh/Adaptive-Texture-Filtering-for-Single-Domain-Generalized-Segmentation | texture_filter/datasets/smoothing_dataset.py | smoothing_dataset.py | py | 1,899 | python | en | code | 5 | github-code | 36 |
21189060933 | class Solution:
def countBits(self, n: int) -> List[int]:
# 결과값을 저장할 list를 미리 선언해준다.
results = [0]
# 1부터 n까지의 반복횟수를 지정해준다.
for i in range(1, n+1):
# i와 i-1의 비트 AND연산을 수행& +1하여 가장 오른쪽 비트를 제거 -> 1의 개수를 센다.
results.append(results[i & i-1] + 1)
return res... | KimGiii/Algorithm | 0338-counting-bits/0338-counting-bits.py | 0338-counting-bits.py | py | 438 | python | ko | code | 0 | github-code | 36 |
12040540403 | import os, sys, logging, glob2, csv
import numpy as np
import pandas as pd
from sklearn.metrics.pairwise import cosine_similarity
def create_directory(name):
"""
Create directory if not exists
Parameters
----------
name : string
name of the folder to be created
"""
try:
... | stannida/skill-embeddings | utils/helper_functions.py | helper_functions.py | py | 3,147 | python | en | code | 1 | github-code | 36 |
14487480169 | import urllib.request, urllib.parse
from difflib import SequenceMatcher
import json
from msvcrt import getch
serviceurl = 'http://www.omdbapi.com/?'
apikey = '&apikey='+'da05069b'
abv90=[]
def match(s1, s2):
s2p=s2[0:len(s1)]
s1p=''.join(d for d in s1 if d.isalnum())
s2p=''.join(d for d in s2p if d.isa... | souvikchakraborty98/QuickScripts | z_test_1.py | z_test_1.py | py | 1,554 | python | en | code | 0 | github-code | 36 |
14072972599 | import player
def get_player_details():
# Fill the code for getting user inputs and creating the card object
name=input("Enter the Player Name :")
matches=int(input("Enter the No of Matches Played:"))
player_obj=player.Player(name,matches)
return player_obj
player_obj = get_player_details()
no_o... | vivek0807/AllCodes | Python/main.py | main.py | py | 607 | python | en | code | 1 | github-code | 36 |
74792104104 | # this is not CURE, just heirarchical clustering
# this is used to practice making a clustering algorithm
import numpy as np
import matplotlib.pyplot as plt
import math
# a vertex is just an x position and a y position
# this makes is easier for grouping vertices together
# rather than having 2 arrays for the x and ... | AdamPoper/CPSC-480-CURE-Clustering | heirarchical_clustering.py | heirarchical_clustering.py | py | 9,062 | python | en | code | 0 | github-code | 36 |
12248576934 | ######################################################################
# Script for processing Diss.
#
# (C) Christoph Schaller, BFH
######################################################################
import os
import sys
import math
import glob
import numpy as np
import fiona
from shapely.geometry import Point... | HAFL-WWI/FINTCH-publication-code | 2022-improving-local-maxima-idt/python/detection/Processing/fintch_processing_process_pub.py | fintch_processing_process_pub.py | py | 14,644 | python | en | code | 0 | github-code | 36 |
40571855871 | import unittest
import os
import shutil
from ls import get_dir_files, get_dir_files_count, get_file_contents, get_file_line_count
from .stubs import create_temp_file, get_test_file_path, TEST_DIR_PATH, TEST_SUBDIR_PATH
class TestFilesHelpers(unittest.TestCase):
def setUp(self):
os.mkdir(TEST_DIR_PATH)
... | eveningkid/ls | tests/test_file_helpers.py | test_file_helpers.py | py | 2,551 | python | en | code | 0 | github-code | 36 |
72549427943 | import traceback
from fastapi import HTTPException, Request
from fastapi.exceptions import RequestValidationError
from starlette.exceptions import HTTPException as StarletteHTTPException
from starlette.responses import JSONResponse
from tortoise.exceptions import IntegrityError
from config import config
from utils.pa... | OpenTreeHole/treehole_backend | utils/exceptions.py | exceptions.py | py | 1,981 | python | en | code | 0 | github-code | 36 |
19544626210 | # pip install pipwin
# pip install pyaudio
import pyaudio
import wave
from datetime import datetime, timedelta
import numpy as np
from multiprocessing import shared_memory
def runCapture(recDevice, rec_controls_sm, saveFilesPath, SECONDS = 1):
rec_controls = rec_controls_sm.buf
p = pyaudio.PyAudi... | Richard-Kershner/Audio-Video-Screen-TimeStamp-Recorder | rec_audio.py | rec_audio.py | py | 4,034 | python | en | code | 0 | github-code | 36 |
28630475186 | from densefog import web
import flask # noqa
from icebox.model.iaas import image as image_model
def describe_images():
params = web.validate_request({
'type': 'object',
'properties': {
'limit': {
'type': 'integer',
'minimum': 1,
'maximu... | hashipod/icebox | core/icebox/api/public/image.py | image.py | py | 3,641 | python | en | code | 0 | github-code | 36 |
12553211459 | import datetime
current_weight = 220
goal_weight = 180
average_lbs_week = 1.5
start_date = datetime.date.today()
print('Today\'s Date is: {:%B %d, %Y}'.format(start_date))
end_date = start_date
# print(end_date)
while current_weight > goal_weight:
end_date += datetime.timedelta(days=7)
current_weigh... | iampaavan/Pure_Python | Weekly_Goal.py | Weekly_Goal.py | py | 506 | python | en | code | 1 | github-code | 36 |
36289747092 | from kafka.producer import KafkaProducer
TOPIC_NAME = "kafka.client.tutorial" # producer는 생성한 레코드를 전송하기 위해 전송하고자 하는 토픽을 알고 있어야 한다.
BOOTSTRAP_SERVER_HOST = "kafka_tutorial:9092" # 전송하고자 하는 카프카 클러스터 서버의 host와 IP를 지정
KEY_SERIALIZER = str.encode
VALUE_SERIALIZER = str.encode
producer = KafkaProducer(
bootstrap_serve... | 2h-kim/kafka-personal-study | simple-kafka-producer/kafka-producer-key-value.py | kafka-producer-key-value.py | py | 833 | python | ko | code | 0 | github-code | 36 |
2356478535 | from __future__ import print_function
import argparse
import cgi
import locale
import os
import re
import sys
from .. import cli
from .. import hocr
from .. import ipc
from .. import logger
from .. import temporary
from .. import text_zones
from .. import unicode_support
from .. import utils
from .. import version
f... | jwilk-archive/ocrodjvu | lib/cli/djvu2hocr.py | djvu2hocr.py | py | 11,591 | python | en | code | 41 | github-code | 36 |
22354363555 | import datetime
import traceback
import typing
import humanfriendly
import mergedeep
import pytz
import sqlalchemy.orm
import mlrun.common.schemas
import mlrun.config
import mlrun.errors
import mlrun.utils
import mlrun.utils.helpers
import mlrun.utils.regex
import mlrun.utils.singleton
import server.api.crud
import s... | mlrun/mlrun | server/api/utils/projects/follower.py | follower.py | py | 18,072 | python | en | code | 1,129 | github-code | 36 |
5462088920 | import cv2
import numpy as np
import logging
from skimage import io
import time
from multiprocessing import Lock
mutex = Lock()
class AClassify:
def __init__(self,uuid,net,image,s_client):
logging.debug("intialisation is requested")
self.url = s_client.generate_presigned_url(ClientMethod='get_objec... | gitibeyonde/pyms | lib/AnalyticsClassify.py | AnalyticsClassify.py | py | 1,480 | python | en | code | 0 | github-code | 36 |
6999547749 | # Functions to calculate optical flow
import opyf
import utils
def analyze_frames(element):
dir = "/media/madziegielewska/Seagate Expansion Drive/Diploma-Project/"
analyzer = opyf.frameSequenceAnalyzer(f"{dir}Demo-App/static/segmentation_results/{element}")
num = analyzer.number_of_frames
utils.del... | mdziegielewska/Diploma-Project | Demo-App/opticalflow.py | opticalflow.py | py | 994 | python | en | code | 0 | github-code | 36 |
16912146541 | """
Setup Module for Blob Creator
Author: Michael Kohlegger
Date: 2021-09
"""
import setuptools
with open("README.md", "r", encoding="utf8") as readme_file:
readme = readme_file.read()
with open('requirements.txt', "r", encoding="utf8") as requirement_file:
requirements = requirement_file.read().splitlines(... | mckoh/blob_creator | setup.py | setup.py | py | 1,076 | python | en | code | 1 | github-code | 36 |
3511755621 | import random
print("Infinity Dice")
def infinityDice():
running = True
while running:
sides = int(input("How many sides do you want?: "))
roll = random.randint(1,sides)
print(f"You rolled {roll}")
if input("Do you want to roll again? (y/n):") == "n":
exit()
infinityDice() | tanapolark/100_days_coding_python | day_24_def_2.py | day_24_def_2.py | py | 303 | python | en | code | 0 | github-code | 36 |
20766513047 |
import sslscan
from sslscan import modules
from sslscan.module.scan import BaseScan
class SSLScanScanner:
def __init__(self, target):
self.target = target
self.scanner = sslscan.Scanner()
def scan(self):
self.scanner.scan(self.target)
for server in self.scanner.get_results():
... | shadowaxe99/MORE-AGENTS | cybersecurity_scanner/sslscan_scanner/sslscan_scanner.py | sslscan_scanner.py | py | 655 | python | en | code | 0 | github-code | 36 |
34353630412 | import dash_pivottable
import dash_html_components as html
def make_pivot_table(df):
columns_in_table=["CLIMA_AMBIENTAL", "PAISAJE", "CODIGO", 'TIPO_RELIEVE', 'FORMA_TERRENO', 'MATERIAL_PARENTAL_LITOLOGIA',
'ORDEN',]
new_df=df[columns_in_table].dropna()
Data_to_use = [list(new_df)] + new... | DS4A-Team19-2021/Agustin-Codazzi-Project | apps/utils/utils_pivot_table.py | utils_pivot_table.py | py | 782 | python | en | code | 1 | github-code | 36 |
28037620802 | from setuptools import find_packages, setup
# read the contents of README file
from os import path
from io import open # for Python 2 and 3 compatibility
# get __version__ from _version.py
ver_file = path.join('tensorpi', 'version.py')
with open(ver_file) as f:
exec(f.read())
this_directory = path.abspath(path.... | xinychen/TensorPi | setup.py | setup.py | py | 1,800 | python | en | code | 3 | github-code | 36 |
24011968546 | # --------------------------------------------------------
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import numpy as np
import os
import sys
from transforms3d.quaternions import *
from transforms3d.euler import *
from transforms3d.axangles imp... | liruiw/HCG | core/utils.py | utils.py | py | 48,148 | python | en | code | 13 | github-code | 36 |
24593511416 | # 4. Write a program that converts some amount of money from USD to BYN,
# ask a user for the amount, store the ratio inside the program itself.
usd = input("Enter the amount in US dollars:\n ")
try:
usd = float(usd)
except ValueError:
print("Data entry error.")
exit()
exchange_rates = 3.05
byn = usd * exc... | MikitaTsiarentsyeu/Md-PT1-69-23 | Tasks/Voltov/Task1/task4.py | task4.py | py | 392 | python | en | code | 0 | github-code | 36 |
10353313162 | import streamlit as st
import pickle
model_random = pickle.load(open("model/forest.pkl", "rb"))
from utils import head, body
hasil = head()
if st.button("Submit"):
name, MDVP_FO,MDVP_FHI, MDVP_FloHz,MDVP_JitterPercent,MDVP_JitterAbs, MDVP_RAP, MDVP_PPQ,Jitter_DDP,MDVP_Shimmer,MDVP_ShimmerDb,Shimmer_APQ3, Shimmer... | FathanKhansaArby/FinalProject083 | app/main.py | main.py | py | 833 | python | en | code | 0 | github-code | 36 |
70987576744 | #!/usr/bin/python2.7
import rospy
from sensor_msgs.msg import Image
import cv2
from cv_bridge import CvBridge
bridge = CvBridge()
def show_webcam():
cam = cv2.VideoCapture(0)
if not cam.isOpened():
raise IOError("Cannot open webcam")
while True:
ret_val, img = cam.read()
cv2.imsh... | E-pep/HaldisBot | catkin_ws/src/Line_Follower_pkg/imgPub.py | imgPub.py | py | 924 | python | en | code | 1 | github-code | 36 |
21165644420 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from matrix import *
from rand import rand_normal
class Dense:
"""全连接层
Args:
input_num: 输入节点数
units: 输出节点数
Attributes:
inputs: 输入
inputs_grad: 输入的梯度
units: 输出节点数
kernel: 权值
kernel_grad: 权值的梯度
b... | straicat/data-mining-assignment | layer.py | layer.py | py | 4,131 | python | en | code | 0 | github-code | 36 |
7998654007 | def Theory():
t = str(input("이론값을 입력해주십시오 : "))
if not isfloat(t) or float(t) <= 0:
return Theory()
else:
return float(t)
def Experiment():
e = str(input("실험값을 입력해주십시오 : "))
if not isfloat(e) or float(e) < 0:
return Experiment()
else:
return float(e)
def isfloat(s):
(m,_,n) = s.partition(".")
return... | kyj0701/SoftWare2017 | error.py | error.py | py | 822 | python | ko | code | 0 | github-code | 36 |
15975975433 | # *-* coding: utf-8 *-*
"""
Created on sam 22 mai 2021 19:11:56 CEST
@author : vekemans
"""
import numpy as np
from numpy.fft import \
rfft,irfft,fftfreq,\
rfft2,irfft2,rfftfreq
from scipy import sparse
from scipy.interpolate import interp2d
import matplotlib
import matplotlib.pyplot as plt
nfig = 1
imp... | abbarn/lmeca2300 | project/pylib/convergence.py | convergence.py | py | 2,416 | python | en | code | 0 | github-code | 36 |
38688339389 | import torch
from utils.metrics import AURC
import numpy as np
from utils.measures import MSP
def centralize(y:torch.tensor):
return y-(y.mean(-1).view(-1,1))
def p_norm(y:torch.tensor,p, eps:float = 1e-12):
if p is None or p == 0: return torch.ones(y.size(0),1,device=y.device)
else: return y.norm(p=p,dim=... | lfpc/pNormSoftmax | pNormSoftmax.py | pNormSoftmax.py | py | 3,632 | python | en | code | 1 | github-code | 36 |
74457197862 | import json
import os
import sys
import time
from apscheduler.schedulers.blocking import BlockingScheduler
from public import redis_con,get_conn
from data_change import get_setting
# 将数据查询到redis中
def get_data():
con = get_conn()
cur = con.cursor()
sql = f"SELECT id,title,Ncontent from {get_setting()} wher... | AYongmengnan/zimeiti | zimeiti/get_data_redis.py | get_data_redis.py | py | 1,434 | python | en | code | 0 | github-code | 36 |
35376239294 | # time-dependent solutions for P_00(t), P_01(t), and P_10(t) and P_01(t)
# taken from Anderson 2017 Lecture Notes on Stochastic Processes with Applications in Biology
# P_00(t) is the chance of being in the inactive state at t=t, given being in the inactive state at t=0
# or P_00(t) = P(x_t = 0 | x_0 = 0) with x=0 is b... | resharp/scBurstSim | solution/nonstat_markov.py | nonstat_markov.py | py | 1,894 | python | en | code | 3 | github-code | 36 |
932629353 | import datetime
from neutron.common import rpc as proxy
from neutron.openstack.common import log as logging
LOG = logging.getLogger(__name__)
class HeloAgentNotifyAPI(proxy.RpcProxy):
"""API for plugin to ping agent."""
BASE_RPC_API_VERSION = '1.0'
def __init__(self, topic=None, version=None):
... | CingHu/neutron-ustack | neutron/api/rpc/agentnotifiers/helo_rpc_agent_api.py | helo_rpc_agent_api.py | py | 1,219 | python | en | code | 0 | github-code | 36 |
22292420863 | # 0. 동빈나 책. 1이 될때 까지.
# 1. greedy
# 2. 빼야한다면 빼고, 나눌수있다면 나누기먼저.
# 입력예제
# 17 4 답은 3
n,k=map(int,input().split())
count=0
while 1:
temp=(n//k)*k
count+=n-temp
n=temp
if n<k:
break
count+=1
n//=k
count+=n-1
print(count) | 98hyun/algorithm | greedy/b_3.py | b_3.py | py | 317 | python | ko | code | 0 | github-code | 36 |
69912139304 | from ._common import basic_element
SCHEMA = {
"type": "dict",
"required_keys": {"content": {"type": "string", "nullable": True}},
"optional_keys": {"urgent": {"type": "boolean", "default": False}},
}
announcement_box = basic_element("announcement_box.html", SCHEMA)
| eldridgejm/automata | automata/api/coursepage/elements/announcement_box.py | announcement_box.py | py | 281 | python | en | code | 0 | github-code | 36 |
11358969821 | import sys
sys.stdin = open('일곱난쟁이.txt')
def comb(dep=0):
global check
if check == 1:
return
if len(arr) == n:
tmp = 0
for i in range(n):
tmp += arr[i]
if tmp == 100:
check = 1
for j in sorted(arr):
print(j)
return
... | Jade-KR/TIL | 04_algo/study/01/일곱난쟁이.py | 일곱난쟁이.py | py | 564 | python | en | code | 0 | github-code | 36 |
451073459 | #!/usr/bin/python3
from .config_utils import get_base_config
from .log_utils import get_module_logger
import DNS
import os
import sys
import time
import validators
CDIR = os.path.dirname(os.path.realpath(__file__))
ROOTDIR = os.path.abspath(os.path.join(CDIR, os.pardir))
BASECONFIG = get_base_config(ROOTDIR)
LOGGI... | phage-nz/ph0neutria | core/dns_utils.py | dns_utils.py | py | 1,379 | python | en | code | 299 | github-code | 36 |
17895276920 | from typing import Dict, Mapping, Sequence, Text, Union
import seqio
import tensorflow as tf
AUTOTUNE = tf.data.experimental.AUTOTUNE
NALUE_INPUT_NAME = 'sentence'
NALUE_OUTPUT_NAMES = ('vertical', 'domain', 'intent')
T5Text = Union[tf.Tensor, Text]
def toxic_comments_preprocessor_binary_classification(
datas... | google/uncertainty-baselines | baselines/t5/data/preprocessors.py | preprocessors.py | py | 11,183 | python | en | code | 1,305 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.