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9512060656 | import os
from pathlib import Path
import re
import pandas as pd
from utils import *
AppPath()
def reformat_address(df: pd.DataFrame, len_address: int) -> pd.DataFrame:
indexes = df.loc[df['len_address_split'] == len_address].index
if len_address == 3:
columns = ['street', 'district', 'city']
el... | Thangphan0102/RealEstateProject | code/data_pipeline/src/clean.py | clean.py | py | 6,806 | python | en | code | 0 | github-code | 1 |
36716719472 | from linkedList import ListNode, LinkedList
# find kth to last element of a singly linked list
def kthToLast(head: ListNode, k: int):
p1 = head
p2 = head
# p1 move forward by k steps, then p1 has n-k steps left to the end of linked list
while (k > 0):
if (p1 == None):
return None
p1 = p1.next
k -= 1
... | sophiiae/leetcode | cci/linkedList/kthToLast.py | kthToLast.py | py | 596 | python | en | code | 1 | github-code | 1 |
2313803754 | import re , os ,sys
files = 0
current_path = os.getcwd()
current_file = os.listdir(current_path)
pattern = re.compile('\) (\/vobs[^\s]+)@@')
for C_code_file in current_file:
if os.path.splitext(C_code_file)[1] =='.c':
f_code_file = C_code_file;
if f_code_file == False:
print('need put the c cod... | Dachao-Huang/MBD-Tools | split_c_code.py | split_c_code.py | py | 1,157 | python | en | code | 0 | github-code | 1 |
20962312145 | import atexit
import imp
import glob
import logging
import os
import shutil
import subprocess
import tempfile
import config
import deb
# Last config root directory to cleanup on exit
__last_config_root = None
def __cleanup_last_root():
if should_cleanup() and __last_config_root is not None and \
os.... | endlessm/merge-o-matic | tests/testhelper.py | testhelper.py | py | 10,038 | python | en | code | 0 | github-code | 1 |
70702970915 | #Realsense.py
#Created by: Josh Chapman Date: 1/12/2023
#This code contains basic implementation for the Realsense camera
#Version 1.0
#Status: Complete
#Capabilities:
# Camera initialization
# Getting frames and storing as np arrays
# ouput of a user-readable image
# Align depth with color image
... | jdc13/Farm_Roomba | RealSense.py | RealSense.py | py | 11,468 | python | en | code | 0 | github-code | 1 |
11208025058 | # -*- coding: utf-8 -*-
"""Tests for obfuscation utilities."""
import textwrap
from unittest import TestCase
from ddt import data, ddt, unpack
from mock import MagicMock, patch
import edx.analytics.tasks.util.obfuscate_util as obfuscate_util
from edx.analytics.tasks.util.tests.target import FakeTask
@ddt
class Bac... | openedx/edx-analytics-pipeline | edx/analytics/tasks/util/tests/test_obfuscate_util.py | test_obfuscate_util.py | py | 26,191 | python | en | code | 90 | github-code | 1 |
72263102754 | import tkinter as tk
from tkinter import *
import time
import sys
import os
import tkinter.font as font
from time import sleep
import pygame
##GUI CODE
root = tk.Tk()
timercanvas = Canvas(root, height = 250, width = 250, bg = "#fff")
timercanvas.pack()
minute=StringVar()
second=StringVar()
hours=StringVar()
sec = St... | Aragon-Robotics-Team/test-materov-2021 | GUI/asfasdf.py | asfasdf.py | py | 1,886 | python | en | code | 0 | github-code | 1 |
74558975072 | # _*_ coding: utf-8 _*_
"""
"""
from app.component.db import db
from app.libs.enums import ScopeEnum, ClientTypeEnum
from app.models.user import User
from app.models.identity import Identity
class UserDao():
# 获取用户列表
@staticmethod
def get_user_list(page, size):
paginator = User.query \
... | danyeer/python-flask-api | app/dao/user.py | user.py | py | 622 | python | en | code | 0 | github-code | 1 |
38777081854 | nota1 = float(input('Entre com a nota: '))
while nota1 > 10:
nota1 = float(input('Nota invalida. Entre com a nota correta: '))
nota2 = float(input('Entre com a segunda nota: '))
while nota2 > 10:
nota2 = float(input('Nota invalida. Entre com a nota correta: '))
nota3 = float(input('Entre com a terceira nota: ')... | Ademilson12/Aulas_Digital | Basico/aula2.py | aula2.py | py | 849 | python | pt | code | 0 | github-code | 1 |
73033773473 | # -*- coding: utf-8 -*-
'''
OpenStack Cloud Module
======================
OpenStack is an open source project that is in use by a number a cloud
providers, each of which have their own ways of using it.
:depends: libcloud >- 0.13.2
OpenStack provides a number of ways to authenticate. This module uses password-
based... | shineforever/ops | salt/salt/cloud/clouds/openstack.py | openstack.py | py | 30,521 | python | en | code | 9 | github-code | 1 |
8214563373 | alphabets = "abcdefghijklmnopqrstuvwxyz" # a normal alphabet
key = "bcdefghijklmnopqrstuvwxyza" # a modified alphabet that is shifted by 1
key = key[1:] + key[0]
bruteForceStorage1 = [0] * 26
bruteForceStorage2 = [0] * 26
bruteForceStorage3 = [0] * 26
bruteForceStorage4 = [0] * 26
cipher1 = "fqjcb rwjwj vnjax bnkhj w... | DerickBui/Ciphers | Cipher1.py | Cipher1.py | py | 2,559 | python | en | code | 0 | github-code | 1 |
9999830291 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import get_object_or_404
from django.test import TestCase
from directmessages.apps import Inbox
from directmessages.models import Message
from django.contrib.auth.models import User
from django.test import TestCase, RequestFactory, C... | odmoreno/kalaFitnessApp | fisioterapia/tests.py | tests.py | py | 2,814 | python | es | code | 1 | github-code | 1 |
29074773623 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# Sigmoid激活函数类
from FullConnectedLayer import *
import numpy as np
from conv import *
from activator import *
from pool import *
import sys
# 神经网络类
class Network(object):
def __init__(self):
'''
构造函数
'''
self.layers = []
self.conv... | hxdoit/deep_learn | conv/Network.py | Network.py | py | 2,716 | python | en | code | 1 | github-code | 1 |
15494922036 | import cv2
import numpy as np
import os
def get_2type_img(root_path):
root=root_path
dirlist = [ item for item in os.listdir(root) if os.path.isfile(os.path.join(root, item)) ]
print(dirlist)
for d in dirlist:
img_path = root + d
print(img_path)
img = cv2.imread(img_path)
h,w,c = img.shape
t... | LINBOOyuan/cell_counter | count_cell2.py | count_cell2.py | py | 1,523 | python | en | code | 0 | github-code | 1 |
15628967421 | import pandas as pd
import re
import math
from statistics import mean,stdev,mode
import os
#Select which instrument you're working on data from
# platform = 'Exploris'
# platform = 'Exploris_FAIMS'
platform = 'TimsTOF_Pro'
# platform = 'TimsTOF_SCP'
#Select Library
library = 'Library_3SS_Spiked'
# library = 'Library... | tvashist/PTMDIA | DIANN_phospho_summary.py | DIANN_phospho_summary.py | py | 2,564 | python | en | code | 0 | github-code | 1 |
3942267886 | from datetime import timedelta
from discord import Color, Embed, Message
from discord.ext import commands
from wavelink import Player, TrackEventType
from exceptions import CurrentNotPlaying
from .utilities import get_wavelink_player
class EmptyNowPlayingManager:
def __init__(self) -> None:
super(NowPla... | GabrielBarros00/Music-Discord-BOT | utils/nowplaying.py | nowplaying.py | py | 5,352 | python | en | code | 1 | github-code | 1 |
44825592664 | import os
import sys
import csv
#import numpy as np
import random
class DataHandler:
def __init__(self):
pass
def get_list(self):
data = []
with open('game_titles.csv', newline='', encoding='utf-8') as f:
reader = csv.reader(f)
data = [item for sublist in list(reader) for item in sublist]
return data... | reidtc82/WIPNameGenerator | wip_name_gen.py | wip_name_gen.py | py | 2,296 | python | en | code | 0 | github-code | 1 |
33032831725 | from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from rest_framework.exceptions import NotFound, PermissionDenied
from .serializers.common import ReviewSerializer
from .models import Review
from rest_framework.permissions import IsAuthenticatedOrRe... | florastocks/recipe_book | reviews/views.py | views.py | py | 1,989 | python | en | code | 0 | github-code | 1 |
23382287076 | """Combines multiple jars into one jar."""
def combine_jars(name, srcs, **genrule_kwargs):
'''Combines multiple jars into one jar.
Args:
name: Name to be used for this rule. It produces name.jar
srcs: List of jars to be combined.
genrule_kwargs: Keyword arguments to pass through to the genrule.
'''
... | YFShiftFinance/Android | build_extensions/combine_jars.bzl | combine_jars.bzl | bzl | 1,541 | python | en | code | 3 | github-code | 1 |
27568411284 | from tkinter import *
from tkinter import filedialog
from pytube import YouTube
from moviepy import *
from moviepy.editor import VideoFileClip
# Functions
def select_folder():
"""
Select folder to save files
"""
folder = filedialog.askdirectory()
folder_label.config(text=folder)
def download_bes... | C-distin/python-youtube | download.py | download.py | py | 2,329 | python | en | code | 0 | github-code | 1 |
74338108512 | from solcx import compile_standard, install_solc
import json
from web3 import Web3
from dotenv import load_dotenv
import os
load_dotenv()
with open("./SimpleStorage.sol", "r") as file:
simple_storage_file = file.read()
install_solc("0.8.0")
compiled_sol = compile_standard(
{
"language": "Solidity",
... | jassi-singh/blockChainDevCourse | simplstorage/deploy.py | deploy.py | py | 2,350 | python | en | code | 0 | github-code | 1 |
44604028122 | from fan_class import Fan
fan_1 = Fan(3, True, 10.0, "Yellow")
fan_2 = Fan(2, False, 5.0, "Blue" )
print("\033[1m" + "\033[94m" + "Fan 1 propeties:")
fan_1.display_fan()
print("Fan 2 propeties:")
fan_2.display_fan()
| Kenji1504/FAN_CAR_PET_CLASSES | fan_class/test_fan.py | test_fan.py | py | 219 | python | en | code | 0 | github-code | 1 |
3395724366 | import os
import subprocess
from requests import post
def fetch():
global text
for line in text:
os.mkdir(line.replace("://","-"))
os.chdir(line.replace("://","-"))
mod = line.strip("https://" or "http://")
mod = mod.rstrip("\n")
p1 = subprocess.run(['dig', '+short', mod], capture_output=True, t... | RogueSMG/Scavenger | PortsAndServices.py | PortsAndServices.py | py | 1,796 | python | en | code | 18 | github-code | 1 |
6609884216 | import argparse #To get the source directory from command line arguments.
import io # To fix encoding issues in Windows
import os #To find files from the source.
import os.path #To find files from the source and the destination path.
cura_files = {"cura", "fdmprinter.def.json", "fdmextruder.def.json"}
uranium_files = ... | Ultimaker/Cura | scripts/lionbridge_import.py | lionbridge_import.py | py | 9,461 | python | en | code | 5,387 | github-code | 1 |
2034280475 | from PyQt5.QtWidgets import QApplication, QWidget, QTableWidget
from PyQt5.QtGui import QPainter, QColor, QFont, QBrush, QPen, QPixmap, QTabletEvent
from PyQt5.QtCore import QPoint, pyqtSignal, Qt, QTime
from nav_msgs.msg import Path
import rospy
from Data import Data
SIZE_ROBOT_WRITING = 4.0
DISTANCE_ROBOT_WRITING_T... | asselbor/choose_adaptive_words | nodes/TactileSurfaceArea.py | TactileSurfaceArea.py | py | 5,492 | python | en | code | 0 | github-code | 1 |
19569543042 | # ------------------------------------------------------------------------------
# Part of implementation is adopted from CenterNet,
# made publicly available under the MIT License at https://github.com/xingyizhou/CenterNet.git
# ------------------------------------------------------------------------------
import warn... | RapidAI/TableStructureRec | lineless_table_rec/lineless_table_process.py | lineless_table_process.py | py | 13,631 | python | en | code | 2 | github-code | 1 |
26641848850 | from pyftpdlib.authorizers import DummyAuthorizer
from pyftpdlib.handlers import FTPHandler, ThrottledDTPHandler
from pyftpdlib.servers import FTPServer
from pyftpdlib.log import LogFormatter
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
ch = logging.StreamHandler()
fh = logging.Fi... | kinscloud/kinscloud.github.io | Python/DevOps/PyFtpdLibDemo.py | PyFtpdLibDemo.py | py | 994 | python | en | code | 0 | github-code | 1 |
69850120995 | ########################################################################################
#
# This script converts the trial list of voxceleb2 to the general format.
#
# Author(s): Nik Vaessen
########################################################################################
import pathlib
import click
from dat... | Loes5307/VocalAdversary2022 | data_utility-main/voxceleb/fix_trials.py | fix_trials.py | py | 1,583 | python | en | code | 4 | github-code | 1 |
22549890962 | import requests
from pathlib import Path
def get_picture(url, path):
Path("images").mkdir(parents=True, exist_ok=True)
response = requests.get(url)
response.raise_for_status()
with open(path, 'wb') as file:
file.write(response.content)
| FOURWORDSALLCAPS/Space_for_everyone | get_picture.py | get_picture.py | py | 263 | python | en | code | 1 | github-code | 1 |
18569928188 | import pygame
import random
import math
import cv2
import apriltag
import numpy as np
from pygame.locals import (
K_UP,
K_DOWN,
K_LEFT,
K_RIGHT,
K_ESCAPE,
KEYDOWN,
QUIT,
K_s,
K_w,
)
pygame.init()
clock = pygame.time.Clock()
SCREEN_WIDTH = 640
SCREEN_HEIGHT = 480
class P... | aisilva/ar-pong | main.py | main.py | py | 5,994 | python | en | code | 0 | github-code | 1 |
21435367392 | import logging
import numpy as np
def read_input(fname="input.txt"):
with open(fname, "r") as f:
return f.readlines()
def construct_paper(text):
instructions = []
dots = []
line_idx = 0
while line_idx < len(text) and text[line_idx] != '\n':
coords = [int(val) for val in text[line_i... | mrdkucher/advent_of_code | 2021/day13/main.py | main.py | py | 2,458 | python | en | code | 0 | github-code | 1 |
39948665528 | import os
from dotenv import load_dotenv
ROOT_DIR = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
def get_abs_path(file_path: str) -> str:
"""append ROOT_DIR for relative path"""
# Already absolute path
if file_path.startswith("/"):
return file_path
else:
return os.path... | pradyumnaym/Champions | app/config.py | config.py | py | 827 | python | en | code | 0 | github-code | 1 |
6950680498 | import torch
import torch.nn as nn
from torch.nn import init
class ConvLSTM(nn.Module):
def __init__(self, input_size, hidden_size, kernel_size):
super(ConvLSTM, self).__init__()
self.input_size = input_size
self.hidden_size = hidden_size
padding = kernel_size // 2
self.... | Flawless1202/tjevents | tjevents/nn/recurrent/conv_rnn.py | conv_rnn.py | py | 2,445 | python | en | code | 3 | github-code | 1 |
19031147613 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import codecs
import sys
from charset import special_chars, get_chars_encoding, special_chars_BW, get_chars_encoding_BW
all_languages = special_chars.keys()
def main():
languages = ""
char_list = []
lang_args = all_languages
if len(sys.... | EdgeTX/edgetx | tools/list-utf-8-code-points.py | list-utf-8-code-points.py | py | 942 | python | en | code | 1,243 | github-code | 1 |
73866763874 | from mmcv.runner import HOOKS, Hook
from torch.utils.data import DataLoader
from mpa.modules.datasets.samplers.cls_incr_sampler import ClsIncrSampler
from mpa.modules.datasets.samplers.balanced_sampler import BalancedSampler
from mpa.utils.logger import get_logger
logger = get_logger()
@HOOKS.register_module()
clas... | openvinotoolkit/model_preparation_algorithm | mpa/modules/hooks/task_adapt_hook.py | task_adapt_hook.py | py | 2,438 | python | en | code | 20 | github-code | 1 |
72421070114 | import time
import picodisplay as display
CHAR_HEIGHT = 6
CHAR_WIDTH = 5
class Ball:
def __init__(self, x, y, r, dx, dy, pen):
self.x = x
self.y = y
self.r = r
self.dx = dx
self.dy = dy
self.pen = pen
class Paddle:
def __init__(self, x, y, h, w, pen):
s... | johnnyruz/PicoPythonPong | pong.py | pong.py | py | 7,633 | python | en | code | 0 | github-code | 1 |
24621962822 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2022/3/31 18:49
# @Author : yaomy
import cv2
import torch
import torch.nn.functional as F
import numpy as np
def crop_resize_by_warp_affine(img, center, scale, output_size, rot=0, interpolation=cv2.INTER_LINEAR):
"""
output_size: int or (w, h)
N... | yaomy533/pose_estimation | lib/transform/coordinate.py | coordinate.py | py | 4,161 | python | en | code | 0 | github-code | 1 |
31498625020 | from flask import Flask, jsonify, render_template
import jinja2
import datetime
import refine_objects
from connection import get_connection, get_all_from_table, run_sql_command_one_result
app = Flask(__name__)
@app.route("/")
def show_startPage():
# print(refine_objects.refine_location(get_all_from_table("locati... | DHBW-Event-Planner/Event-Planner | app/app.py | app.py | py | 2,024 | python | en | code | 0 | github-code | 1 |
71779727075 | from flask import redirect, render_template, request, session, jsonify, json
from flask_app import app
from flask_app.models.car_models import Car
from flask_app.models.user_models import User
from flask_app.controllers import user_controllers
import os
print( os.environ.get("FLASK_APP_API_KEY") )
@app.route("/dashboa... | rseffens/flip_your_whip | flask_app/controllers/car_controllers.py | car_controllers.py | py | 3,003 | python | en | code | 1 | github-code | 1 |
11866916341 | import http.client
import tkinter as tk
from tkinter import *
import sys
win = tk.Tk()
win.geometry(f"600x370+100+200")
win.title("Task3")
# Функція для отримання або оновлення інформації для 5-ох країн
def update():
conn = http.client.HTTPSConnection("vaccovid-coronavirus-vaccine-and-treatment-tra... | Aragorant/python_tasks | task3/task3.py | task3.py | py | 8,552 | python | en | code | 0 | github-code | 1 |
9300648357 | import tweepy
import json
import time
from kafka import KafkaProducer
# Configure the authentication keys for the Twitter API
bearer_token="AAAAAAAAAAAAAAAAAAAAAMxXkAEAAAAAFC3teGdOH64EKRkhCiWANfWxwvk%3DvPTipAtXE0gr2YHUcBTp0MQ8bYz65LAbRyiiGLFIbCTvw4FZiD"
client = tweepy.Client(bearer_token=bearer_token)
# Parameters
... | YasTelecom/Twitter-Data-Stream-Sentimental-Analaysis | ingest-tweets.py | ingest-tweets.py | py | 1,271 | python | en | code | 0 | github-code | 1 |
10544482751 | import re
from src.point import *
# ============================ Clustering functions ============================
def x7s_directionClustering(pj, sb, inv=False):
""" Clusters a pip junction based on the difference vector between its external
termination point and the reference switchbox.
Args:
... | mortbopet/NetCracker | src/vendor/Xilinx/S7/x7s_clusterings.py | x7s_clusterings.py | py | 7,149 | python | en | code | 11 | github-code | 1 |
20458999522 | # Wednesday, October 5 Lecture Notes:
profs = ["Ackles", "Krebsbach", "Gregg"]
for prof in profs: # we can have anything instead of 'prof'
print(prof + " is a CMSC professor.")
for i, prof in enumerate(profs): # one option for including both index and value in output: enumerate! prof prefers this
print(str(i... | ninada25/cmsc140 | Desktop/py_scripts/class_lecture_notes/wk4-dicts.py | wk4-dicts.py | py | 4,099 | python | en | code | 0 | github-code | 1 |
71016766115 | import torch
import gpytorch
import numpy as np
torch.manual_seed(1)
np.random.seed(3)
class ExactGPModel(gpytorch.models.ExactGP):
def __init__(self, z_train, y_train, likelihood):
super(ExactGPModel, self).__init__(z_train, y_train, likelihood)
self.mean_module = gpytorch.means.ConstantMean()
... | yugaro/LearingETMPCSymbolic | lib/model/gp.py | gp.py | py | 2,053 | python | en | code | 1 | github-code | 1 |
11163177453 | def sol(k,score):
temp_score=[]
# diff = dict()
temp_idx=[]
# print(temp_idx)
for i in range(len(score)-1):
temp_score.append(score[i]-score[i+1])
temp = set(temp_score)
for i in temp:
if temp_score.count(i)>=k:
temp_idx+=(list(filter(lambda x: temp_score[x]==i,ra... | ahrtz/study | 혼자하는거/1009 쿠팡/3.py | 3.py | py | 794 | python | en | code | 0 | github-code | 1 |
34442469564 | from neupy.core.docs import SharedDocs
from neupy.utils import format_data
__all__ = ('SupervisedLearningMixin', 'UnsupervisedLearningMixin',
'LazyLearningMixin')
class SupervisedLearningMixin(object):
"""
Mixin for Supervised Neural Network algorithms.
Methods
-------
train(input_tr... | ravisankaradepu/saddle | network/learning.py | learning.py | py | 4,174 | python | en | code | 0 | github-code | 1 |
75265308833 | from fastapi import FastAPI, Request
from evotekaro import models
from evotekaro.database import engine
from evotekaro.routers import user, authentication, election, votes, candidates
from fastapi.middleware.cors import CORSMiddleware
import logging
logging.basicConfig(level=logging.INFO,
format='... | Theganeshpatil/Evotekaro | main.py | main.py | py | 1,113 | python | en | code | 1 | github-code | 1 |
8728232324 | import nltk
class MessageHistory:
# Used to track message history to inject back into the queries
def __init__(self, max_tokens=4000):
# nltk IS NOT THE SAME tokenizer used by GPT, in order to use that we must have torch
# to prevent some weird output tokenizer produces when torch isn't install... | JesseDarr/gpt4_shell | modules/message_history.py | message_history.py | py | 2,262 | python | en | code | 0 | github-code | 1 |
21004162993 | import json
import logging
from django.conf import settings
from itsdangerous import (
BadSignature,
Signer,
URLSafeSerializer,
)
from protobufs.services.user import containers_pb2 as user_containers
from protobufs.services.organization.containers import sso_pb2
from saml2 import entity
import service.cont... | getcircle/services | users/providers/okta.py | okta.py | py | 6,726 | python | en | code | 0 | github-code | 1 |
5618393353 | #!/usr/bin/env python
import numpy as np
import rospy
import pyaudio
from std_msgs.msg import Float32, Float32MultiArray
import sys
class ListenMiniMicrophone:
def __init__(self):
# init rospy node
rospy.init_node('listen_mini_microphone', anonymous=True)
self.p = pyaudio.PyAudio()
... | 708yamaguchi/hitting_sound_classification | scripts/listen_mini_microphone.py | listen_mini_microphone.py | py | 3,462 | python | en | code | 0 | github-code | 1 |
10040121110 | #The necessary imports
import os
import sys
import copy
import math
import numpy as np
from classes import *
from seq_tests import *
from con_tests import *
from ele_tests import *
"""
The Helpers needed for the algorithm
They consist of functions that extract subseries, positions of series which are numbers etc.
"""
... | luca-scharr/IQ-Number-Test-Solver | searchstructure.py | searchstructure.py | py | 12,970 | python | en | code | 0 | github-code | 1 |
74490089634 | #!/usr/bin/env python3
from faker import Faker
# Local imports
from app import app
from config import db
from models import User, Review, Business
fake = Faker()
with app.app_context():
print("Starting seed...")
# Seed code goes here!
print('Deleting existing data...')
User.query.delete()
Review... | chernandez148/yelp_clone_v2 | server/seed.py | seed.py | py | 1,935 | python | en | code | 0 | github-code | 1 |
21734804742 | from xml.dom import minidom
class Node:
def __init__(self, lb, text=None):
self.label = lb
self.children = []
self.text = text
def is_leaf():
return len(self.children) == 0
def children(self):
return self.children
def to_s(self):
... | ManhND27/nlp_100_drill_exercises | 50_59ex/ex59.py | ex59.py | py | 1,473 | python | en | code | 1 | github-code | 1 |
74839925793 | import os
import glob
from openpyxl import load_workbook
from openpyxl.utils import get_column_letter
import csv
asset_tasks = {}
for filepath in glob.glob(os.path.join('C:\\Users\\majona\\Desktop\\AA PMs', '*.xls*')):
wb = load_workbook(filename = filepath)
print(filepath)
ws = wb["Main"]
new_row ... | jonathanmajh/iko-tools | Python/Assets_JobTasks/main.py | main.py | py | 2,073 | python | en | code | 0 | github-code | 1 |
23620656221 | from source.helpers.configuration_builder import (DatasetConfigurationBuilder,
NeuralNetworkConfigurationBuilder)
import pytest
@pytest.fixture
def mock_configuration_raw_dataset():
return {
'matlab': {
'file_name': 'matlab_file_test.mat',
... | 12Diego06Martinez/Python-Furuta-Pendulum | test/test_configuration_builder.py | test_configuration_builder.py | py | 2,534 | python | en | code | 0 | github-code | 1 |
43110386622 | """
Contains functions for building the forest.
Created on Thu May 11 16:30:11 2023
@author: MLechner
# -*- coding: utf-8 -*-
"""
from copy import deepcopy
from numba import njit
import numpy as np
import ray
# import pandas as pd
from mcf import mcf_forest_data_functions as mcf_data
from mcf import mcf_general as ... | MCFpy/mcf | mcf/mcf_forest_add_functions.py | mcf_forest_add_functions.py | py | 26,445 | python | en | code | 12 | github-code | 1 |
5683031448 | # 8. Write a Python script to print distinct elements along with
# their frequencies of occurrence in the list
any_list = ['A', 'A', 'B', 'C', 'B', 'D', 'D', 'A', 'B']
frequency = {}
for item in any_list:
# checking the element in dictionary
if item in frequency:
# incrementing the counr
frequency... | Deepak6203/INEURON | Assignments/Assignment14/Question8.py | Question8.py | py | 482 | python | en | code | 0 | github-code | 1 |
13280379613 |
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth.decorators import login_required
from django.template.context_processors import request
from django import forms
from .models import Person, Rolle, Leilighet, Innlegg, Kategori, Kommentar
from .forms import InnleggForm, Kommentar... | tbrygge/bolig | bolig/views.py | views.py | py | 9,813 | python | no | code | 0 | github-code | 1 |
1593211756 | from django.conf.urls import url
from . import views
urlpatterns = [
#显示添加页面
url(r'^add/$',views.add,name='add'),
#执行添加操作
url(r'^do_add/$',views.do_add,name='do_add'),
#执行显示操作
url(r'^shuju/$',views.shuju,name='shuju'),
url(r'^input_id/$',views.input_id,name='input_id'),
#执行删除操作
ur... | Lousm/Python | 03_web前端/第11周-后端框架/myshop_2 - 副本/blog/urls.py | urls.py | py | 548 | python | en | code | 0 | github-code | 1 |
21144199101 | from flask import Flask, request
import random
import os
import logging
import ctypes
from ctypes import c_char_p, c_int
# Initialize logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
# Initialize the Flask application
app = Flask(__name__)
# Base directory where the... | abadinextsilicon/eli-stream-project | server.py | server.py | py | 3,155 | python | en | code | 0 | github-code | 1 |
74436037474 | import random
from tkinter import *
from tkinter import messagebox
from PIL import ImageTk, Image
def MainConsole():
root.destroy()
main = Tk()
main.title("Console")
main.geometry("600x500")
main.iconbitmap("Images/favicon.ico")
mainframe = Frame(main, bg="Black")
mainframe.place(relheigh... | SamuelDotDoc/OS_Fundacao | ConsoleGUI.py | ConsoleGUI.py | py | 11,712 | python | en | code | 1 | github-code | 1 |
1772753121 | import requests
import config
import json
flight = 'SKW3871'
aero_api_key = config.AeroAPI
url = 'https://aeroapi.flightaware.com/aeroapi/flights/SCX262'
#payload = {'some': 'data'}
headers = {'x-apikey': aero_api_key}
r = requests.get(url, headers=headers)
aero_json = r.text
def extract_json_fields(aero):
# ... | nryberg/flights | aero_api.py | aero_api.py | py | 1,035 | python | en | code | 0 | github-code | 1 |
26692108806 | __author__ = "Matthias Rost, Alexander Elvers (mrost / aelvers <AT> inet.tu-berlin.de)"
import abc
import copy
import time
# algorithm results
class BaseAlgorithmResult:
def __init__(self, alg_name, scenario):
self.alg_name = alg_name
self.scenario = scenario
def __str__(self):
ret... | submodular-middlebox-depoyment/submodular-middlebox-deployment | src/algorithms/abstract_algorithm.py | abstract_algorithm.py | py | 6,366 | python | en | code | 3 | github-code | 1 |
22390443827 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""K-mean clustering plot functions."""
import matplotlib.pyplot as plt
from random import random as rd
from k_means_types import *
COLORS = [
"red",
"yellow",
"lime",
"orange",
"cyan",
"purple",
"green",
"magenta",
"maroon",
"ol... | tbagrel1/machine_learning | clustering/k_means/k_means_plot.py | k_means_plot.py | py | 4,312 | python | en | code | 0 | github-code | 1 |
22575470177 | import sys
n= int(input())
s=set()
for _ in range(n):
m=sys.stdin.readline().split()
if len(m)==1:
if m[0] == 'all':
s= set([i for i in range(1,21)])
elif m[0] == 'empty':
s=set()
else:
m1,m2=list(m)
if m1=='add':
s.add(int(m2))
el... | dydwkd486/coding_test | baekjoon/python/baekjoon11723.py | baekjoon11723.py | py | 630 | python | en | code | 0 | github-code | 1 |
12059289004 | """
Module containing all the method used in both the octtree and particle
mesh simulations and all the global variables
"""
import multiprocessing
import copy
import pickle
import numpy as np
import astropy.units as u
import png
import pandas as pd
import matplotlib.pyplot as plt
import grav_field
from octtree im... | Lancaster-Physics-Phys389-2020/phys389-2020-project-JimWarner | sim.py | sim.py | py | 13,170 | python | en | code | 0 | github-code | 1 |
72625342754 |
# ░▄▀▀░▄▀▀ c. CS | FAF | FCIM | UTM | Fall 2023
# ░▀▄▄▒▄██ FAF-212 Cristian Brinza lab1
print('')
print('░▄▀▀░▄▀▀ c. CS | FAF | FCIM | UTM | Fall 2023')
print('░▀▄▄▒▄██ FAF-212 Cristian Brinza lab1 ')
print('')
# Define a function to display the menu options to the user.
def display_menu():
"""
Displa... | CristianBrinza/UTM | year3/cs/lab1/main.py | main.py | py | 5,432 | python | en | code | 3 | github-code | 1 |
5682980338 | # 1. Write a python script to store multiple items in a single variable
# ( Items are “Java”,“Python”, “SQL”, “C” ) using list
"""First Method"""
# lists = []
# item = int(input("Enter Numbers How Many Items Store : "))
# for i in range(item):
# items = eval(input("Enter Items :"))
# lists.append(items)
#... | Deepak6203/INEURON | Assignments/Assignment13/Question1.py | Question1.py | py | 563 | python | en | code | 0 | github-code | 1 |
11827857546 | unpro="123"
def f(pro,unpro):
if len(unpro) == 0:
print(pro)
return
ch = unpro[0]
for i in range(len(pro)+1):
first = pro[0:i]
second = pro[i:]
f(first+ch+second,unpro[1:])
print(f("",unpro))
# creating lists in body
unpro="abc"
def f(pro,unpro):
if len(unpro) ... | Xaheersays/recursion | string/subset/permutations of string/permutuatiuoin.py | permutuatiuoin.py | py | 931 | python | en | code | 0 | github-code | 1 |
29554395240 | import os
from app import app
import urllib.request
from flask import Flask, flash, request, redirect, url_for, render_template
from werkzeug.utils import secure_filename
import cv2
import time
import subprocess
CONFIDENCE_THRESHOLD = 0.2
NMS_THRESHOLD = 0.4
COLORS = [(0, 255, 255), (255, 255, 0), (0, 255, ... | YassinALLANI/finalversion | main.py | main.py | py | 3,057 | python | en | code | 0 | github-code | 1 |
75059028192 | """
Linear layer with fused activation with PyTorch autodiff support.
"""
from typing import Optional, Tuple
import torch
from torch import Tensor
from torch import nn
from triton import cdiv
from .act_kernels import act_func_backward_kernel
from .linear_kernels import linear_forward_kernel
from .types import Conte... | BobMcDear/attorch | attorch/linear_layer.py | linear_layer.py | py | 7,362 | python | en | code | 1 | github-code | 1 |
35990847108 | """
Perform teardown and integration logic after executing "constructive" Terraform
subcommands (e.g. `init`, `plan`, and `apply`).
"""
from typing import List
import json
from accounts.models import Group
from cbhooks.models import TerraformStateFile, TerraformPlanHook
from infrastructure.models import Environment,... | mbomb67/cloudbolt_samples | terraform/tf_post_provision.py | tf_post_provision.py | py | 13,710 | python | en | code | 2 | github-code | 1 |
43351701314 | """
This file is part of nand2tetris, as taught in The Hebrew University, and
was written by Aviv Yaish. It is an extension to the specifications given
[here](https://www.nand2tetris.org) (Shimon Schocken and Noam Nisan, 2017),
as allowed by the Creative Common Attribution-NonCommercial-ShareAlike 3.0
Unported [License... | noamkari/nand2tetris-8 | CodeWriter.py | CodeWriter.py | py | 14,254 | python | en | code | 0 | github-code | 1 |
42029466704 | from django.shortcuts import render
from django.urls import reverse #we used reverse function to use name instead of a url in urls.py
from django.core.files.storage import FileSystemStorage
from employee.models import Event,Employee,Student,Comment
from django.http import HttpResponse,HttpResponseRedirect
from django.d... | AakashkolekaR/NGO-Fundraiser-App | tsechacks/employee/views.py | views.py | py | 4,187 | python | en | code | 0 | github-code | 1 |
29372624043 | import boto3
dynamodb_client = boto3.client('dynamodb', region_name='us-west-2', endpoint_url='http://localhost:8000')
location = 'Trinity'
sdate = '20140101'
edate = '20140201'
response = dynamodb_client.query(
TableName='Snotel',
KeyConditionExpression='LocationID = :LocationID and SnotelDate BETWEEN :sdat... | MathiasDarr/Snotel | apis/snotel-serverless-api/parse_response_data.py | parse_response_data.py | py | 1,111 | python | en | code | 0 | github-code | 1 |
32275241643 | from tkinter import Tk, ttk, constants, END
from logic.chain_analytics_service import chain_analytics_service
class ContractsView:
def __init__(self, root):
self._root = root
self._frame = None
self._block_id = None
self._current_block_id = str(
int(chain_analytics_serv... | tugee/cryptoChainAnalyzer | src/ui/saved_contracts_view.py | saved_contracts_view.py | py | 3,792 | python | en | code | 2 | github-code | 1 |
25433425619 | from itertools import combinations
import sys
input = sys.stdin.readline
d = [(0,1), (1,0), (-1,0), (0,-1)]
def out_of_range(ny:int, nx:int) -> bool:
return ny < 0 or nx < 0 or ny >= n or nx >= m
def check(s: tuple[int]):
res = 0
visited = [[False]*m for _ in range(n)]
for i in s:
... | reddevilmidzy/baekjoonsolve | 백준/Silver/18290. NM과 K （1）/NM과 K （1）.py | NM과 K （1）.py | py | 752 | python | en | code | 3 | github-code | 1 |
38355857526 | from urllib import request
import re
# https://movie.douban.com/j/chart/top_list?type=11&interval_id=100%3A90&action=&start=0&limit=20
# https://movie.douban.com/j/chart/top_list?type=11&interval_id=100%3A90&action=&start=20&limit=20
# https://movie.douban.com/j/chart/top_list?type=11&interval_id=100%3A90&action=&start... | 1368334540/Python | 电影TOP250爬虫实例.py | 电影TOP250爬虫实例.py | py | 1,008 | python | en | code | 0 | github-code | 1 |
9553900919 | """
Code is partially borrowed from repository https://github.com/sbarratt/inception-score-pytorch/blob/master/inception_score.py # noqa: E501
"""
import argparse
import logging
from pathlib import Path
from typing import Dict, Iterable, Optional, Tuple, Union
import numpy as np
import torch
import torch.utils.data
i... | svsamsonov/ex2mcmc_new | ex2mcmc/metrics/inception_score.py | inception_score.py | py | 7,378 | python | en | code | 3 | github-code | 1 |
34929668909 | import random
import time
t0 = 1
t1 = 100
d = 1
a = [str(x) for x in range(t0,t1 + 1, d)]# a 为列表
b = []
nn = [0]
def choice(event):
time.sleep(1)
rm = random.choice(a)
a.remove(rm)#无放回抽签
b.append(rm)
if ((len(b)-nn[0])%10 == 0):
b.append('\n')
nn[0] += 1
bstr = ', '.join(b)
#随机输出数字
ctn = wx.TextCtrl(win... | kelvin1020/GUI_draw_dices | draw.py | draw.py | py | 1,403 | python | en | code | 0 | github-code | 1 |
72226144995 | #-----------------------------------------------------------------
# Working with psycopg2
#-----------------------------------------------------------------
import psycopg2
import sys
from prettytable import PrettyTable
def heading(str):
print('-'*60)
print("** %s:" % (str,))
print('-'*60, '\n')
SH... | cmay20/Instagram-Database-Model | simple_query_1.py | simple_query_1.py | py | 2,828 | python | en | code | 0 | github-code | 1 |
29040769502 | from random import randint
from subprocess import call
import sys
from hexDictionary import hexIndex
def throwTheCoins():
hexagram = [0,0,0,0,0,0]
for i in reversed(range(len(hexagram))):
toss = 0
for x in range(0,3):
toss = toss + randint(2,3)
hexagram[i] = toss
retur... | davidhazardous/iching | ichingpy3.py | ichingpy3.py | py | 1,516 | python | en | code | 3 | github-code | 1 |
14029528473 | #Python version 3.6.0
import random as r
from collections import defaultdict
#import numpy as np
#from copy import deepcopy
class HelperFunctions():
def __init__(self):
pass
def kill_ship(self,strike_area):
self.overall_p_density = self.calculate_strategy()
while self.open_... | Brian1441/Battleship_Simulator | HelperClass.py | HelperClass.py | py | 8,830 | python | en | code | 0 | github-code | 1 |
18323508054 | import logging
import math
from typing import List, Dict, Optional
import torch
from adet.layers import DFConv2d, NaiveGroupNorm
from adet.utils.comm import compute_locations
from detectron2.layers import ShapeSpec, NaiveSyncBatchNorm
from detectron2.modeling.proposal_generator.build import PROPOSAL_GENERATOR_REGISTRY... | facebookresearch/sylph-few-shot-detection | sylph/modeling/meta_fcos/fcos.py | fcos.py | py | 36,764 | python | en | code | 54 | github-code | 1 |
39828382351 | import string
import nltk
from bs4 import BeautifulSoup
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
from nltk.corpus import stopwords
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
nltk.download('wordnet')
nltk.download('omw-1.4')
nltk.download('stop... | nzayem/Key-Terms-Extraction | Key Terms Extraction/task/key_terms.py | key_terms.py | py | 2,241 | python | en | code | 0 | github-code | 1 |
18738470138 | # -*- coding: utf-8 -*-
import numpy as np
from sklearn.datasets import load_iris
import matplotlib.pyplot as plot
"""
Ejercicio 1
"""
matriz = load_iris()
a=matriz.data
b=matriz.target_names
x1=a[0:49,-2:]
x2=a[50:99,-2:]
x3=a[100:149,-2:]
plot.scatter(x1[:,0],x1[:,1],c=[[1,0,0]],label=b[0])
plot.scatter(x2[:,0]... | PaulaCT/AprendizajeAutomatico_UGR | practica0.py | practica0.py | py | 1,365 | python | en | code | 0 | github-code | 1 |
23119614056 | import argparse
import logging
from elixir import feedstock
__version__ = '0.0.1'
def _config_logging(logging_level='INFO', logging_file=None):
allowed_levels = {
'DEBUG': logging.DEBUG,
'INFO': logging.INFO,
'WARNING': logging.WARNING,
'ERROR': logging.ERROR,
'CRITICAL'... | scieloorg/elixir | elixir/elixir.py | elixir.py | py | 2,335 | python | en | code | 1 | github-code | 1 |
31953600858 | import csv
import os
import sys
class Movie:
def __inti__(self, movie_id, mov_tittle, zhanra_1, zhanra_2, zhanra_3, zhanra_4, movie_rating, user_id):
self.id = movie_id
self.tittle = tittle
self.zhanra_1 = zhanra_1
self.zhanra_2 = zhanra_2
self.zhanra_3 = zhanra_3
s... | juliojr77/what-to-watch | movie_lib.py | movie_lib.py | py | 12,003 | python | en | code | 0 | github-code | 1 |
18929879783 | from tkinter import *
from tkinter import ttk
def main():
window = Window()
window.mainloop()
class Window(Tk):
def __init__(self):
super().__init__()
# object attributes
self.title("Show Grid Contents & Info")
# populate
mainframe = MainFrame(self)
class MainFrame(ttk.Frame):
def __init__(self, window... | rontarrant/tkoopython | 005_grid/grid_009_info.py | grid_009_info.py | py | 2,690 | python | en | code | 2 | github-code | 1 |
32578781072 | import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
from collections import OrderedDict
import time
data_dir = './images_category/images_category'
train_transforms = transforms.Compose([transforms.RandomRotation(30),
... | Anhtu07/wss_models | resnet101_pytorch.py | resnet101_pytorch.py | py | 3,860 | python | en | code | 0 | github-code | 1 |
7580043655 | # BOJ_1251
# 단어 나누기
def solution():
def swap(w):
out_word = ""
for c in range(len(w) - 1, -1, -1):
out_word += w[c]
return out_word
word = input()
word_list = list()
for i in range(1, len(word) - 1):
word_1 = word[:i]
for j in range(i + 1, len(word)... | wilderif/PS | BOJ/BOJ_1251.py | BOJ_1251.py | py | 556 | python | en | code | 0 | github-code | 1 |
34744486795 | """
移除链表元素
"""
from typing import Optional
# 定义链表
class ListNode:
def __init__(self, val=0, next=None):
# 值
self.val = val
# 下一个结点
self.next = next
class Solution:
def removeElements(self, head: ListNode, val: int) -> ListNode:
# 构建一个虚拟的头节点
dummy_head = ListN... | PorterZhang2021/LeetCode | 2.链表/一刷归档/LeetCode_203_2.py | LeetCode_203_2.py | py | 874 | python | zh | code | 0 | github-code | 1 |
8088553187 |
import csv
import pandas as pd
import matplotlib.pyplot as plt
CSV_LOAD_PATH = "data_C3-C4.csv"
ROW_INDEX = {
'name': 0,
'time': 1,
'stim_intensity': 6,
'rep_rate': 8
}
def plot_signal(datapoints):
plt.plot(datapoints)
# plt.title('Max: ', max(datapoints), 'min: ', min(datapoints))
plt.show()
def ... | rachelyeslah/ProjectNM | da.py | da.py | py | 1,479 | python | en | code | 0 | github-code | 1 |
390426681 | prime = 101
def pattern_matching(text, pattern):
m = len(pattern)
n = len(text)
pattern_hash = create_hash(pattern, m - 1)
text_hash = create_hash(text, m - 1)
for i in range(1, n - m + 2):
if pattern_hash == text_hash:
if check_equal(text[i-1:i+m-1], pattern[0:]) is True:
... | wusixuan0/practice | rabin_karp.py | rabin_karp.py | py | 3,037 | python | en | code | 0 | github-code | 1 |
6535462852 | import re
from collections import namedtuple
from typing import Any, Callable, Union
from .common import Position, Range
class LexError(Exception):
pass
Rule = namedtuple('Rule', ['regex', 'callback'])
Token = namedtuple('Token', ['type', 'value', 'range'])
class Lexer:
"""A generic lexer
Example:
... | joshuaskelly/wick | wick/parser/lexer.py | lexer.py | py | 4,942 | python | en | code | 2 | github-code | 1 |
9565341585 | #!/usr/bin/env python
# coding: utf-8
# @Author : Mr.K
# @Software: PyCharm Community Edition
# @Time : 2020/1/3 12:19
# @Description:
#统计list中出现的元素个数
#参考：https://www.zybang.com/question/2fa278ce7f89fb437759d57ab4b20594.html
# numbers=["cc","cc","ct","ct","ac"]
# res = {}
# for i in numbers:
# res[i] = res.get... | LeonardoMrK/Spider_4_TYC | ceshi.py | ceshi.py | py | 812 | python | en | code | 2 | github-code | 1 |
42999682359 | '''
Problem 85 | Maximal Rectangle
https://leetcode.com/problems/maximal-rectangle/
'''
class Solution:
def maximalRectangle(self, matrix: List[List[str]]) -> int:
if not len(matrix):
return 0
for row in range(len(matrix)):
for col in range(len(matrix[0])):
... | davijit868/Programming-Solutions | Data Structures/Stack/Maximal Rectangle.py | Maximal Rectangle.py | py | 2,287 | python | en | code | 2 | github-code | 1 |
9565427568 | # https://docs.aws.amazon.com/sagemaker/latest/dg/lineage-tracking-entities.html
# https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-lineage/sagemaker-lineage.ipynb
import base64
from sagemaker.lineage.artifact import Artifact
from sagemaker.lineage.context import Context
from sagemaker.lineage.ac... | aws-samples/ml-lineage-helper | ml_lineage_helper/ml_lineage.py | ml_lineage.py | py | 26,811 | python | en | code | 13 | github-code | 1 |
36427146353 | """
120. Triangle
Medium
1106
120
Favorite
Share
Given a triangle, find the minimum path sum from top to bottom. Each step you may move to adjacent numbers on the row below.
For example, given the following triangle
[
[2],
[3,4],
[6,5,7],
[4,1,8,3]
]
The minimum path sum from to... | fengyang95/OJ | LeetCode/python3/120_Triangle.py | 120_Triangle.py | py | 2,254 | python | en | code | 2 | github-code | 1 |
41440458922 | '''
페이지 교체 알고리즘 OPT 방식
OPT : https://velog.io/@qweadzs/BOJ-1700-%EB%A9%80%ED%8B%B0%ED%83%AD-%EC%8A%A4%EC%BC%80%EC%A4%84%EB%A7%81Python
멀티탭을 모두 사용하고 있을 때, 어떤 코드를 뽑을 것인지 선택하는 문제
- 앞으로 다시 사용하지 않을 코드
위 조건을 만족하는 코드가 없다면
- 가장 나중에 다시 사용할 코드
먼저 사용할 것을 빼버리면, 다시 사용할 때 다시 꽂아야 함.
'''
from collections... | aszxvcb/TIL | BOJ/boj1700.py | boj1700.py | py | 1,747 | python | ko | code | 0 | github-code | 1 |
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