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27674411948 | """
Author: Carlos Fernando Castaneda
Class : CS 2302
Date Modified: May 12, 2019
Instructor: Olac Fuentes
Assingment: Lab 8 Algorithm Design Techniques
TA: Anindita Nath & Maliheh Zaragan
Purpose: to implement both randomized algorithms and backtracking teachniques
learned in class to check if two algorithm... | cfcastaneda98/CS2302 | Lab8/lab8.py | lab8.py | py | 5,453 | python | en | code | 0 | github-code | 50 |
73961133915 | import pymysql
from modules.cardgen import CardGen
import modules.config as cfg
if __name__ == "__main__":
cardgen = CardGen()
cards = cardgen.get_cards(1)
print(cards)
# Connect to the database
conn = pymysql.connect(host=cfg.host,
user=cfg.user,
... | TaylorAbraham/Uncharted-Realms-ML | main.py | main.py | py | 870 | python | en | code | 1 | github-code | 50 |
37492925281 | def main():
fruits = ['grape', 'apple', 'strawberry', 'waxberry', 'pitaya']
print(max(fruits))
print(min(fruits))
max_value = min_value=fruits[0]
for elem in fruits:
if elem >max_value:
max_value=elem
elif elem<min_value:
min_value=elem
print("Max:",max_va... | ymjrchx/python-demo | Day07/findmax.py | findmax.py | py | 392 | python | en | code | 0 | github-code | 50 |
70832032154 | '''
Main file
Run in terminal 'python3 main.py' to use project
Dependencies:
- sqlite3
- requests
'''
from api import *
from sql import *
from datetime import date, datetime
# User input start/end date in ISO8601 format
start_date = input("Start date (YYYY-MM-DD, default=[start of repo]): ") + "T"
if start_date == ... | ARtheboss/github-repo-analysis | main.py | main.py | py | 2,967 | python | en | code | 0 | github-code | 50 |
40126941120 | # used by cmsDriver when called like
# cmsDriver.py hlt -s HLT:@relval
autoHLT = {
'fake' : 'Fake',
'fake1' : 'Fake1',
'fake2' : 'Fake2',
'relval50ns' : 'Fake',
'relval25ns' : 'Fake1',
'relval2016' : 'Fake2',
'relval2017' : 'Fake2',
'relval2018' : 'Fake2',
'relval2022' : 'Fake2',
... | cms-sw/cmssw | Configuration/HLT/python/autoHLT.py | autoHLT.py | py | 424 | python | en | code | 985 | github-code | 50 |
73110306076 | from pydub import AudioSegment
def split_mp3(file_name):
sound = AudioSegment.from_mp3(file_name)
halfway_point = len(sound) // 2
first_half = sound[:halfway_point] + sound[:halfway_point]
# create a new file "first_half.mp3":
first_half.export("first_half_twice.mp3", format="mp3")
| Algostu/chungyo | pose_diff/core/audio.py | audio.py | py | 306 | python | en | code | 6 | github-code | 50 |
24360173200 | # bit_mask로 하는 방법도 있다.
arr = [1, 2, 3]
N = 3
sel = [0] * N # 사용.
def perm(idx, check):
if idx == N:
print(sel)
return
for i in range(N): # 원소의 개수만큼 반복할 것.
if (check & (1<<i)) != 0: # 이전에 사용한 원소 사용 X. -> 이걸 어떻게 체크?
continue
sel[idx] = arr[i]
perm(idx + 1,... | phoenix9373/Algorithm | 2020/SWEA_문제/순열_BitMask.py | 순열_BitMask.py | py | 580 | python | ko | code | 0 | github-code | 50 |
25156426576 | import optuna
from optuna.pruners import SuccessiveHalvingPruner
from optuna.samplers import TPESampler
from optuna.trial import TrialState
from functools import partial
import matplotlib.pyplot as plt
from ai.lab.base import LabEntity
from ai.lab.trial import Trial
from ai.util import print_header
class Experiment(... | calvinpelletier/ai | lab/exp.py | exp.py | py | 4,226 | python | en | code | 0 | github-code | 50 |
9349714998 | from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def inicio():
return render_template("formulario.html")
@app.route('/procesar', methods=['POST'])
def procesar():
palabra = request.form.get("palabra")
significado = request.form.get("significado")
return render... | Fersnake22/Sustitucion-de-CLI-por-Web | main.py | main.py | py | 452 | python | en | code | 0 | github-code | 50 |
36817192015 | from __future__ import print_function
import os
import yaml
from config import config
destination = os.path.expanduser("~/.exo")
if not os.path.exists(destination):
os.mkdir(destination, 0o755)
print("created configuration folder:", destination)
config_destination = os.path.join(destination, "template.y... | baites/exo_plots | install.py | install.py | py | 790 | python | en | code | 0 | github-code | 50 |
26895369081 | from requests import request, exceptions as req_exceptions
from .microsoft_api_auth import *
from connectors.core.connector import get_logger, ConnectorError
from connectors.core.utils import update_connnector_config
logger = get_logger('azure-log-analytics')
MANAGE_SERVER_URL = 'https://management.azure.com'
MANAGE_... | fortinet-fortisoar/connector-azure-log-analytics | azure-log-analytics/operations.py | operations.py | py | 11,944 | python | en | code | 0 | github-code | 50 |
11964147517 | class Solution:
def smallerNumbersThanCurrent(self, nums: List[int]) -> List[int]:
array = sorted(set(nums), reverse=True)
frequency = Counter(nums)
hash_map = defaultdict(int)
length = len(nums)
for key in array:
length -= frequency[key]
hash_map[key]... | duressa-feyissa/A2SV_Programming | 1365-how-many-numbers-are-smaller-than-the-current-number/1365-how-many-numbers-are-smaller-than-the-current-number.py | 1365-how-many-numbers-are-smaller-than-the-current-number.py | py | 469 | python | en | code | 0 | github-code | 50 |
33657136040 | from django.urls import path, include
from rest_framework.routers import Route
from app.urls import router
from . import views
app_name = 'user'
router.routes += [
# User View Route
Route(
url=r'^user{trailing_slash}$',
mapping={
'get': 'view_user',
'post': 'create_us... | Diaga/MARS-Server | app/user/urls.py | urls.py | py | 997 | python | en | code | 1 | github-code | 50 |
35134699125 | from .base import BaseCommand
from app.controllers import Commands
from app.utilities import typings, errors
class Command(BaseCommand):
name = "start"
usage = "start <tournament_id>"
description = "Start or Resume the tournament mode"
def __init__(self) -> None:
self.commands = Commands(pac... | Madscientiste/OpenClassrooms_P4 | app/commands/start.py | start.py | py | 3,357 | python | en | code | 0 | github-code | 50 |
7408239741 | import os
import re
import pandas as pd
import numpy as np
import logging
from time import strptime
from collections import defaultdict
from src.utils.files import save_json
from src.utils.refs import aux_paths, params
def read_csv(path, build_mode=False):
_df = pd.read_csv(path)
if build_mode:
_df = ... | tanfiona/HDBResalePrice | src/steps/process.py | process.py | py | 27,156 | python | en | code | 2 | github-code | 50 |
27211573123 | # -*-coding:utf-8-*-
# 题目描述
"""
https://leetcode-cn.com/problems/er-cha-shu-de-shen-du-lcof/
"""
# 标签: 树 深度优先搜索 广度优先搜索 二叉树
# 解题思路:
"""
这里使用层次遍历
queue数组存储树节点 temp数组存储该节点下一层节点 然后用res统计结果
"""
# 执行结果： 通过
"""
执行用时：24 ms, 在所有 Python 提交中击败了80.39% 的用户
内存消耗：15.8 MB, 在所有 Python 提交中击败了32.88% 的用户
通过测试用例：39 / 39
""... | zranguai/leetcode-solution | 剑指Offer/easy/剑指Offer55-1-二叉树的深度.py | 剑指Offer55-1-二叉树的深度.py | py | 1,254 | python | zh | code | 1 | github-code | 50 |
7297029761 | class Solution(object):
def searchInsert(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
pos=-1
for i in nums:
if target==i:
pos=nums.index(i)
if pos==-1:
nums.append(target)
... | DanielAlexanderMarcus/Python-Work | search_Insert.py | search_Insert.py | py | 407 | python | en | code | 0 | github-code | 50 |
350833675 | from django.contrib.auth.views import LoginView, LogoutView
from django.test import SimpleTestCase
from django.urls import reverse, resolve
from class_journal.views import TimetableView, JournalView, AddMarkView, DiaryView
class TestURLs(SimpleTestCase):
def test_url_resolves(self):
url_names_views = {
... | Proximity42/Electronic-Diary | tests/test_urls.py | test_urls.py | py | 675 | python | en | code | 0 | github-code | 50 |
71895360476 | from configparser import SafeConfigParser
global _WorkHeight
global _StartxPosition
global _ShakeHeight
global _ShakeXDist
global _ShakeStepDelay
global _ShakeStepAngleRange
global _servoFillAngle
global _Zfeedrate
global _Xfeedrate
global _HWservoDelay # Delay after servo move (MUST BE SAME IN FIRMWARE (for MA... | JiriPrusa/PyPeS | python_GUI/settings.py | settings.py | py | 5,036 | python | en | code | 0 | github-code | 50 |
29871407460 | from torch import nn
import torch
import numpy as np
class Tacotron2Loss_VAE(nn.Module):
def __init__(self, hparams):
super(Tacotron2Loss_VAE, self).__init__()
self.anneal_function = hparams.anneal_function
self.lag = hparams.anneal_lag
self.k = hparams.anneal_k
self.x0 = h... | jinhan/tacotron2-vae | loss_function.py | loss_function.py | py | 1,671 | python | en | code | 162 | github-code | 50 |
21371042513 | from copy import deepcopy
import numpy as np
import pdb
from src.formula_parser import FormulaParser
from src.extended_definition import ExtendedDefinition
from src.logic_parser import LogicParser
kg_parser = LogicParser(ExtendedDefinition(debug=True))
fm_parser = FormulaParser(ExtendedDefinition(debug=True))
kb = {... | JiajunSong-Bigai/geometry_fc_bc | src/my_unification.py | my_unification.py | py | 15,219 | python | en | code | 0 | github-code | 50 |
74858873756 | """Implementation for agents interface"""
from typing import Any, Tuple, List, Union
import numpy as np
from numpy.linalg import norm
from highrl.obstacle.single_obstacle import SingleObstacle
from highrl.utils.action import ActionXY
from highrl.utils.abstract import Position
class Agent:
"""
Class that repr... | ahmedheakl/multi-level-rl-for-robotics | src/highrl/agents/agent.py | agent.py | py | 10,865 | python | en | code | 6 | github-code | 50 |
73810841435 | import logging
import json
import os
import sys
sys.path.append('../')
import data_processing.confidence as cf
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import skimage.filters as filters
from skimage.io import imread, imsave
import itertools
from scipy.optimize import least_squares
f... | erickmartinez/relozwall | data_processing/camera/ir_thermography_spot.py | ir_thermography_spot.py | py | 2,651 | python | en | code | 0 | github-code | 50 |
74164588634 | import numpy as np
def linear_fit(x, y, fit_min, fit_max):
"""Fit x, y with a linear function
y = mx + b
Args:
x: x variable
y: y variable
fit_min: minimal value of x to fit
fit_max: maximal value of x to fit
Returns:
m: slope of the fitted line
b: int... | yqshao/tame | tame/fit.py | fit.py | py | 533 | python | en | code | 0 | github-code | 50 |
41729304062 | # -*- coding:utf-8 -*-
from Tkinter import *
class Red():
def __init__(self, root, btn, label):
self.label = label
self.btn = btn
self.root = root
self.n = 0
def gs(self):
self.btn['command'] = self.cc
def cc(self):
if self.n == 0:
self.label['... | sdabing/my-python-diary | tkinter/kapai jishu.py | kapai jishu.py | py | 785 | python | en | code | 0 | github-code | 50 |
7979426307 | from pydantic import BaseModel,ValidationError, validator
from typing import Any
from pydantic.networks import EmailStr
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy import Boolean, Column, ForeignKey, Integer, Stri... | ade2112/skillz | modules/form/model.py | model.py | py | 1,264 | python | en | code | 0 | github-code | 50 |
36793390895 | #! /usr/bin/env python
import copy
def readonly(value):
return property(lambda self: value)
class A:
def __init__(self, value):
_value = copy.deepcopy(value)
A.readonly = readonly(_value)
class B:
def __init__(self, value):
self._readonly = copy.deepcopy(value)
@property
... | baites/examples | classes/python/ReadOnlyByClosure.py | ReadOnlyByClosure.py | py | 543 | python | en | code | 4 | github-code | 50 |
585202611 | from socket import *
port = 3333
BUF_SIZE = 1024
sock = socket(AF_INET, SOCK_DGRAM)
sock.bind(('', port))
while True:
data, addr = sock.recvfrom(BUF_SIZE)
print('<- ', data.decode())
msg = input('-> ')
sock.sendto(msg.encode(), addr)
| H43RO/Network-Programming | Example2/udp_chat_server.py | udp_chat_server.py | py | 254 | python | en | code | 0 | github-code | 50 |
42082097565 | #!/usr/bin/env python
# coding: utf-8
# 
# In[1]:
# Lets choose K-Means Clustering Unsupervised ML Algorithm
# In[3]:
# Step 1: Let us import the required Libraries
# In[4]:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn import datasets
... | SAMKOXXPACO/Prediction-using-Unsupervised-Algorithm | Unsupervised ML Task Clustering .py | Unsupervised ML Task Clustering .py | py | 8,575 | python | en | code | 0 | github-code | 50 |
71756104794 | import math
from typing import *
import numpy as np
import torch
import torchaudio.transforms as at
from torch import nn
from torch.distributions import Beta
from torch.nn import functional as F
from torch.nn.parameter import Parameter
class GeMP(nn.Module):
"""from: https://github.com/knjcode/kaggle-seti-2021/b... | yoichi-yamakawa/kaggle-contrail-3rd-place-solution | scripts/training/model_util.py | model_util.py | py | 6,295 | python | en | code | 1 | github-code | 50 |
23741005175 | import transformers
import torch
from transformers import OpenAIGPTTokenizer, GPT2Tokenizer
from transformers import PreTrainedTokenizer, PreTrainedModel
from transformers import AutoTokenizer, AutoModelWithLMHead, AutoModelForCausalLM
import faulthandler
faulthandler.enable()
from transformers import (AdamW, OpenAIG... | BolanleOladeji/IS-Project | chat2.py | chat2.py | py | 2,866 | python | en | code | 0 | github-code | 50 |
70782325915 | '''
Practice Problem #2
Samuel Hulme
Problem:
Given a 2D array of numbers, determine the cheapest path from the top left (0,0) node to the bottom right
example = [
[6, 8, 1]
[100, 2, 30]
[1, 4, 2]
]
The cheapest path in this case would be the path of 6, 8, 2, 4, 2 = 22
... | shulme33/Programming | Python/pp_2.py | pp_2.py | py | 2,148 | python | en | code | 0 | github-code | 50 |
26636795524 | from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
class Btn(QPushButton):
pass
class MyWindow(QWidget):
def __init__(self):
super(MyWindow, self).__init__()
self.setWindowTitle('QDialog的学习')
self.resize(500, 500)
self.init_gui()
def init_gu... | PeterZhangxing/codewars | gui_test/test_pyqt/qss_test/learning_qss.py | learning_qss.py | py | 1,856 | python | en | code | 0 | github-code | 50 |
35196294855 | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 31 00:21:52 2016
@edited by K Provost
"""
#Aligning sequences
#Muscle software installed required: http://www.drive5.com/muscle/downloads.htm
def align(filename,outpath,cwd,muscle_exe):
import os
from Bio.Align.Applications import MuscleCommandline... | kaiyaprovost/misc_scripts | muscleAlign.py | muscleAlign.py | py | 3,397 | python | en | code | 0 | github-code | 50 |
27622938759 | from dataclasses import FrozenInstanceError
from scipy import signal # type: ignore
import matplotlib.pyplot as plt # type: ignore
import pytest
import numpy as np
import pysmo.tools.noise as noise
def test_NoiseModel() -> None:
# create two random arrays for testing
psd = np.random.rand(20)
psd2 = np.r... | pysmo/pysmo | tests/tools/test_noise.py | test_noise.py | py | 3,632 | python | en | code | 18 | github-code | 50 |
73179515356 | # coding: utf-8
import argparse
import time
import math
import torch
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
import data
import model
import cPickle
import glob, os
import math
import read_graph as rg
parser = argparse.ArgumentParser(description='PyTorch Wikitext-2 R... | cliffchen123/language_model | compute_lattice_cover_rate.py | compute_lattice_cover_rate.py | py | 2,375 | python | en | code | 1 | github-code | 50 |
42131499524 | # Source: https://github.com/krrish94/nerf-pytorch
# Torch imports
import torch
from torch import nn
from torch.nn import functional as F
class VeryTinyNerfModel(torch.nn.Module):
def __init__(self, hidden_size=128, num_encoders=6):
super(VeryTinyNerfModel, self).__init__()
self.layer1 =... | anshuman64/nerf | src/main_model.py | main_model.py | py | 2,028 | python | en | code | 0 | github-code | 50 |
14130660030 | n = int(input())
coords = []
for _ in range(n):
x1,x2 = map(int, input().split())
coords.append((x1,x2))
total_cnt = 0
for i in range(n):
for j in range(i+1, n):
for k in range(j+1, n):
arr = [0] * 101
is_bool = True
for l in range(n):
... | hoonkiyeo/codetree-TILs | 231205/선분 3개 지우기/remove-three-segments.py | remove-three-segments.py | py | 666 | python | en | code | 0 | github-code | 50 |
34094024275 | import math, time, random
import numpy as np
from vcopt import vcopt
node = [
[23,39],[ 8,44],[34,36],[12,30],[42,37],[ 6,35],[ 1,15],[12,25],
[ 4,39],[13,42],[23,13],[ 7,39],[11, 5],[ 6,44],[28,45],[20, 7],
[ 3,16],[ 4,19],[ 3,39],[ 0, 2],[19,21],[ 3,43],[ 8,34],[20,39],
[ 2,50],[20,26],[16,36],[24,30... | UnknownSP/ProgrammingExercise | 巡回セールスマン問題/比較/1TSP_Compare.py | 1TSP_Compare.py | py | 4,181 | python | en | code | 0 | github-code | 50 |
13928767500 | APP_INTERFACE = 'tcp://127.0.0.1:5555'
DEFAULT_LIBRARY = 'mongodb://127.0.0.1/apps'
DEFAULT_COLLECTION = 'apps'
ERROR_SUCCESS = 0
ERROR_EXCEPTION = 1
METHOD_REGISTER = 'Register'
METHOD_UNREGISTER = 'UnRegister'
METHOD_UPDATE = 'Update'
METHOD_QUERY = 'Query'
| Kimice/rpc-demo | origin/dataservice/common/constants.py | constants.py | py | 262 | python | en | code | 0 | github-code | 50 |
29860050280 | #domain_stats.py by Mark Baggett
#Twitter @MarkBaggett
from __future__ import print_function
import BaseHTTPServer
import threading
import SocketServer
import urlparse
import re
import argparse
import sys
import time
import os
import datetime
try:
import whois
except Exception as e:
print(str(e))
print("Y... | HASecuritySolutions/Logstash | configfiles-setup_required/freq/domain_stats.py | domain_stats.py | py | 8,009 | python | en | code | 248 | github-code | 50 |
3641922355 | ##
##pedir = True
##while pedir:
## numero = int(input("Dame un numero del 1 al 100: "))
## if numero < 100 and numero > 0:
## pedir = False
from random import *
print("Piensa un número del 1 al 100,¡voy a intentar advinarlo!")
print("Pulsa intro cuando estés listo...")
input()
aleatorio = randint(1,100)... | emiliobort/python | Practica2_Past/Programas/Ejercicio10.py | Ejercicio10.py | py | 896 | python | es | code | 0 | github-code | 50 |
22007133395 | import sqlite3
# criar instancia de conexão com o banco
connection = sqlite3.connect('records.db')
# inicializar cursor
cursor = connection.cursor()
# IF PARA CRIAR SE NAO TIVER CRIADO
create_table = "CREATE TABLE IF NOT EXISTS records (id INTEGER PRIMARY KEY, pontos int)"
cursor.execute(create_table)
c... | Murimaral/projeto_batalha_naval | criar_tabela.py | criar_tabela.py | py | 361 | python | en | code | 0 | github-code | 50 |
27539293247 | import json
import PySimpleGUI as sg
from src.handlers import login
def config(dificultad,ayuda,tarjeta,tiempo,color,alerta):
""" Guarda la configuracion del usuario en un archivo json"""
datos_config = [dificultad,ayuda,tarjeta,tiempo,color,alerta]
tiempo = str(tiempo)
if (tiempo.isdigit()):
... | LauraCuenca/MempybyGrupo29 | src/handlers/configuracion_h.py | configuracion_h.py | py | 1,640 | python | es | code | 0 | github-code | 50 |
23363173038 | import random
import math
depth = 5
functions = ["xd", "*", "+", "-"]
noFunctions = 3
terminals = ["mizerie", "c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9"]
noTerminals = 9
class Individ(object):
"""docstring for Individ"""
def __init__(self):
self.values = [0 for i in range(2 ** depth)]
for i in range(l... | ggaaggaabbii/University-work | ai/lab6_2.py | lab6_2.py | py | 5,158 | python | en | code | 0 | github-code | 50 |
38534453006 | import torch
from torch_geometric.nn import knn_graph, knn, CGConv
class GNNAttention(torch.nn.Module):
'''Uses 2 graph layers. One for self attention and one for cross attention. Self-attention based on k-NN of coordinates. Cross-attention based on k-NN in feature space'''
def __init__(self, dim, k):
... | eduardohenriquearnold/fastreg | lib/models/attention.py | attention.py | py | 1,537 | python | en | code | 52 | github-code | 50 |
14370519259 | import pygame
import math
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
f = open("dialog.txt", "r")
rawText = f.read().split("\n")
f.close()
msg = rawText[0]
options = rawText[1:]
def finish(s):
pygame.quit()
f = open("dialog.txt", "w")
f.... | sillypantscoder/pygame_zip | dialog/dialog.py | dialog.py | py | 1,907 | python | en | code | 0 | github-code | 50 |
16558290798 | import io
import re
import time
from collections import defaultdict
import requests
import requests_cache
from imicrobe.util import grouper
requests_cache.install_cache('kegg_api_cache')
def get_kegg_annotations(kegg_ids):
all_kegg_annotations = {}
all_bad_kegg_ids = set()
# the missing_accessions_gro... | hurwitzlab/imicrobe-data-loaders | imicrobe/util/kegg.py | kegg.py | py | 4,889 | python | en | code | 0 | github-code | 50 |
70409103517 | import os, random
import requests
from bs4 import BeautifulSoup
import NBA as nba
class ziz() :
def hello(self):
print("---- Hello my name Ziz ----")
def NBA(self, args):
if args[0] == 'games':
return self.stringfy(nba.getGames())
def getGames(self):
ur... | ahandan/discord_bot | bot/zizBot.py | zizBot.py | py | 1,163 | python | en | code | 0 | github-code | 50 |
7764637836 | import socket
from OpenSSL import SSL
import certifi
import datetime
hostname = 'services.bq.com'
port = 443
now = datetime.datetime.now()
context = SSL.Context(method=SSL.TLSv1_METHOD)
context.load_verify_locations(cafile=certifi.where())
conn = SSL.Connection(context, socket=socket.socket(socket.AF_INET, socket... | dgardella/pys | check_cert.py | check_cert.py | py | 1,215 | python | en | code | 0 | github-code | 50 |
4635654089 | __author__ = "Younes Bouhadjar, Vincent Marois, Tomasz Kornuta"
import torch
import numpy as np
from miprometheus.problems.seq_to_seq.algorithmic.algorithmic_seq_to_seq_problem import AlgorithmicSeqToSeqProblem
class ScratchPadCommandLines(AlgorithmicSeqToSeqProblem):
"""
Class generating sequences of random... | vincentalbouy/mi-prometheus | miprometheus/problems/seq_to_seq/algorithmic/recall/scratch_pad_cl.py | scratch_pad_cl.py | py | 7,377 | python | en | code | 0 | github-code | 50 |
224890675 | '''
The purpose of the python code is as follows:
1) To load the trained classifier model to classify different hand signs
2) To capture the frames taken from users camera
3) Take the landmarks from the users hand
4) Load the landmark data into the model
5) Get the prediction from the model and print it in th... | RexSan0x/Sign-Language-and-Emotion-Detection | Sign_Language_Training/inferece_sign_lang.py | inferece_sign_lang.py | py | 2,902 | python | en | code | 0 | github-code | 50 |
191147204 | import sqlite3
# connecting to db
con = sqlite3.connect('technical_test.db')
cur = con.cursor()
# printing each row in the db
for row in cur.execute('select * from famous_people;'):
print(row)
print('')
# closing connection to db
con.close() | MickyCompanie/technical_test_sneldev | query_db.py | query_db.py | py | 252 | python | en | code | 0 | github-code | 50 |
22593983762 | #-*- coding: utf-8 -*-
from cadproj.models import OrientadorOuMediador, Projeto, Curso, TipoDeProjeto, ModoDeApresentacao, Cidade, Recurso, Calouro, Turma
from django.contrib import admin
from django.utils.translation import ugettext_lazy as _
class EstudanteOptions(admin.ModelAdmin):
list_display = ('nome','matri... | jamur/Mostra-de-Projetos | cadproj/admin.py | admin.py | py | 1,960 | python | pt | code | 1 | github-code | 50 |
25257312328 | from __future__ import annotations
import typing
from flupy import flu
from nebulo.config import Config
from nebulo.gql.alias import FunctionPayloadType, MutationPayloadType, ObjectType, ResolveInfo, ScalarType
from nebulo.gql.parse_info import parse_resolve_info
from nebulo.gql.relay.node_interface import NodeIdStru... | olirice/nebulo | src/nebulo/gql/resolve/resolvers/asynchronous.py | asynchronous.py | py | 5,380 | python | en | code | 90 | github-code | 50 |
26212162918 | from langchain.agents import Tool
from htmlTemplates import css, bot_template, user_template, disclaimer_text, box_template, user_img, bot_img
from typing import List
from langchain.agents import Tool
from streamlit.components.v1 import html
from agentFunctions import simple_report_search, report_summarizer, one_person... | kpister/prompt-linter | data/scraping/repos/HannesDiemerling~MinervasArchive/agentTools.py | agentTools.py | py | 1,654 | python | en | code | 0 | github-code | 50 |
43709154819 | #recommended way
admin_dict = {'1':'scie/065p','2':'scii/890p'}
#getting value for a key using [] brackets
print(admin_dict['1'])
#not recommended if key is an integer
dict_func = dict(one='1',two='2')
#change value
admin_dict['1'] = 'steve/07'
print(admin_dict['1'])
#adding key value dictionary from one dict to ano... | steve-ryan/python-tutorial-for-beginners | dictionary.py | dictionary.py | py | 424 | python | en | code | 0 | github-code | 50 |
17060406313 | import json
import openpyxl
from case_study.models import Question
from core.decorators import staff_required
from django.db import IntegrityError
from django.http import JsonResponse
from django.shortcuts import render
from .common import populate_data, delete_model, patch_model
from ..forms import QuestionImportFor... | 320011/case | core/case_admin/views/question.py | question.py | py | 8,610 | python | en | code | 1 | github-code | 50 |
41390824167 | import os
import json
import sqlite3
import requests
db_stored = os.path.join(os.path.dirname(__file__), 'qaset.db') # r'D:\Archive\Voibot\qabot\data\qabot\data\qaset.db'
url = 'http://10.1.163.22:5000/encode'
headers = {'Content-Type': 'application/json'}
def generate_all_features(db_stored, begin_id, end_id):
... | yaohsinyu/voibot | qabot/data/generate_all_feature.py | generate_all_feature.py | py | 1,382 | python | en | code | 0 | github-code | 50 |
4149350510 | """empty message
Revision ID: 96089780dc64
Revises: 45811f048651
Create Date: 2022-07-14 08:54:14.167701
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = '96089780dc64'
down_revision = '45811f048651'
branch_labels = None
depends_on = None
def upgrade():
# #... | pamelafox/translation-telephone | migrations/versions/96089780dc64_.py | 96089780dc64_.py | py | 924 | python | en | code | 16 | github-code | 50 |
23275279979 | from rest_framework import mixins, status
from rest_framework.viewsets import GenericViewSet
from rest_framework.response import Response
from api.models import UploadImage, UploadRequest
from api.serializers import UploadSerializer
from api.serializers.image_serializer import ImageSerializer
class UploadViewSet(mixi... | ongtzewei/django-image-manipulation-webapp | api/views/upload.py | upload.py | py | 2,050 | python | en | code | 0 | github-code | 50 |
17604501818 |
import numpy as np
from scipy import misc
import matplotlib.pyplot as plt
def conv_single_step(a_slice_prev, W, b):
"""
Apply one filter defined by parameters W on a single slice (a_slice_prev) of the output activation
of the previous layer.
Arguments:
a_slice_prev -- slice of input data of shape... | sheldon-wall/DLSpecCourse4 | Week1.py | Week1.py | py | 5,168 | python | en | code | 0 | github-code | 50 |
33948199381 | import http.server
import socketserver
from .tools import HTTPTools
class Handler(http.server.SimpleHTTPRequestHandler):
""" Subclass of pex.proto.http module.
This subclass of pex.proto.http module represents
HTTP handler for web server.
"""
def log_request(self, fmt, *args) -> None:
p... | EntySec/Pex | pex/proto/http/listener.py | listener.py | py | 2,334 | python | en | code | 25 | github-code | 50 |
73961830874 | from urllib.parse import urlencode
import requests
from dj_rest_auth.app_settings import api_settings
from dj_rest_auth.jwt_auth import set_jwt_cookies
from dj_rest_auth.models import get_token_model
from dj_rest_auth.utils import jwt_encode
from dj_rest_auth.views import LoginView
from django.conf import settings
fro... | edu4ml/WSB-ML-PLATFORM-FORKED | api/apis/v1/auth/auth.py | auth.py | py | 3,513 | python | en | code | 0 | github-code | 50 |
29905578649 | # coding:utf-8
from unityagents import UnityEnvironment
import numpy as np
from network.DQN import DQNAgent
import matplotlib.pyplot as plt
import tensorflow as tf
import time
env = UnityEnvironment(file_name="../environment/Banana_Windows_x86_64/Banana.exe")
path = "../result/banana/"
# get the default brain
brain_na... | lebesgue125/reinforce_learning | banana/dqn_agent.py | dqn_agent.py | py | 3,144 | python | en | code | 0 | github-code | 50 |
74910611675 | import numpy as np
import cv2
import pyrealsense2 as rs
import math
"""INTIALIZING REALSENSE DATA"""
# Initialize RealSense pipeline
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 848, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 848, 480, rs.format.bgr8, 30)
pipel... | vpark915/The-GingerLens | LocalPythonIdeas/FundamentalScripts/ORBDepthPrimitive.py | ORBDepthPrimitive.py | py | 5,665 | python | en | code | 1 | github-code | 50 |
2609538019 | import matplotlib.pyplot as plt
import scipy.optimize as optimize
import scipy.sparse as sparse
import scipy.sparse.linalg
from math import ceil
import numpy as np
import sys
def solve_one_time_step(u_0, mu_vec, temp_a=0, temp_b=0):
print("h")
def create_main_matrix(n_x_points, mu_vec):
"""
Ma... | liorarueff/MathematicalIce | main.py | main.py | py | 7,928 | python | en | code | 0 | github-code | 50 |
42680391223 | import unittest
from unittest.mock import patch
from lotto.cities import Cities
class TestCities(unittest.TestCase):
def test_get_city_wrong_input(self):
self.assertNotIn('vxvx', Cities.total_cities)
self.assertNotIn(1, Cities.total_cities)
with patch('builtins.input', retu... | erydegio/lotto-game | test/test_cities.py | test_cities.py | py | 693 | python | en | code | 0 | github-code | 50 |
35062260193 | # This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation; either version 2 of the License, or (at your option) any later
# version.
#
# This program is distributed in the hope that it will be useful, but ... | aaps/MCmotions | minecraftimport.py | minecraftimport.py | py | 12,057 | python | en | code | 8 | github-code | 50 |
1391672757 | # N = input('enter N: ')
# M = input('enter M: ')
import timeit
def draw_board():
global board
for line in transpose(board):
print(*line)
def transpose(matr):
res=[]
n=len(matr)
m=len(matr[0])
for j in range(m):
tmp=[]
for i in range(n):
tmp=tmp+[matr[i][j]]... | matbitilya/rocks | 2.py | 2.py | py | 2,328 | python | en | code | 0 | github-code | 50 |
27653685459 | import collections
import os
import sys
import openpyxl
import database
from truckmate_email import TruckmateEmail
REPORT_EMAILS = [
'jwaltzjr@krclogistics.com'
]
class Rate(object):
def __init__(self, tariff, customers, origin, destination, break_value, is_min, rate):
self.tariff = tariff
... | jwaltzjr/truckmate | truckmate/ratereport.py | ratereport.py | py | 5,480 | python | en | code | 2 | github-code | 50 |
86734481945 | import pygame
class Ui:
def __init__(self, screen, player) -> None:
self.screen = screen
self.player = player
self.font = pygame.font.SysFont('Arial', 18)
self.big_font = pygame.font.SysFont('Arial', 32)
def render(self, score):
score_text = self.big_font.render(str(s... | JustThomi/SpaceShooter | ui.py | ui.py | py | 692 | python | en | code | 0 | github-code | 50 |
71994975835 | c50=0
c20 = 0
c10 = 0
c1 = 0
print('Banco dos Crias')
saque = int(input('Valor a ser sacado:'))
while saque !=0:
if saque - 50 >= 0:
c50 += 1
saque = saque -50
else:
break
while saque !=0:
if saque - 20 >= 0:
c20 += 1
saque = saque -20
else:
... | ArthPx/learning-code | d 71.py | d 71.py | py | 769 | python | en | code | 0 | github-code | 50 |
70896170076 | import os
import subprocess
import tempfile
from typing import Dict
import requests
from . import errors
from snapcraft.file_utils import calculate_hash, get_tool_path
from snapcraft.internal.cache import FileCache
from snapcraft.internal.indicators import download_requests_stream
class _Image:
def __init__(
... | Tymbur/Archive_Encrypted.zip | snapcraft/data/usr/lib/python3/dist-packages/snapcraft/internal/build_providers/_images.py | _images.py | py | 5,347 | python | en | code | 0 | github-code | 50 |
31526327859 | #"D:\UCLA+USC\OPT\fetch\fetch_run.py"
import json
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import ScalarFormatter
import torch
import torch.nn as nn
import torch.nn.functional as F
import streamlit as st
import os
from collections import defaultdict
impor... | tree2601/Fetch_LSTM_model | fetch_run.py | fetch_run.py | py | 4,500 | python | en | code | 0 | github-code | 50 |
26211678718 | import os
import json
import subprocess
from transformers import AutoTokenizer, AutoModelForCausalLM
from openai import OpenAI
import requests
import torch
import tiktoken
import argparse
commit_schema = {
"name": "git_commit",
"description": 'Performs a git commit by calling `git commit -m "commit_message"`'... | kpister/prompt-linter | data/scraping/repos/Globe-Engineer~semantic-commit/scommit~scommit.py | scommit~scommit.py | py | 5,025 | python | en | code | 0 | github-code | 50 |
25249831556 | import cv2
import pandas as pd
import time
# Can take a video file as input or video stream from the webcam
cap = cv2.VideoCapture("C:/Users/harsh/Downloads/video (1080p).mp4")
#cap = cv2.VideoCapture(0)
index = ["color", "color_name", "hex", "R", "G", "B"]
csv = pd.read_csv("C:/Users/harsh/Downloads/colors.csv", nam... | Harshil-Agrawal/RealTime_Color_Detection | Color_detection.py | Color_detection.py | py | 2,995 | python | en | code | 0 | github-code | 50 |
40559915413 | import random
# def rotto():
# num = [0, 0, 0, 0, 0, 0]
# for i in range(0, 6):
# num[i] = random.randint(1, 46)
# for j in num:
# if j == num[i]:
# i -= 1
# return num
# print(rotto())
lotto_number = []
def getRandomNumber():
number = ra... | Getver/StartCoding | 00_BasicLecture/09_로또번호.py | 09_로또번호.py | py | 700 | python | en | code | 0 | github-code | 50 |
21652314287 | import sklearn
from sklearn.linear_model import Perceptron
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
import matplotlib.pyplot as plt
iris=load_iris()
df=pd.DataFrame(iris.data,columns=iris.feature_names)
df['label']=iris.target
df.columns = [
'sepal length', 'sepal ... | yishishizi/machinelearning | sk.py | sk.py | py | 1,453 | python | en | code | 0 | github-code | 50 |
3132557366 | import torch
from torch import nn, reshape
from torch import device as torch_device
class Simple(nn.Module):
"""
Simple model
use mlp to do denoise
"""
def __init__(self, samples, chunk_size, channels, device):
super().__init__()
self.chunk_size = chunk_size
self.channels = channels
self.linear = nn.Line... | zhouxinyu0723/audio-denoise-addon-v2 | ZENNet/model/simple.py | simple.py | py | 1,156 | python | en | code | 1 | github-code | 50 |
7408358101 | #import tool
import sys
inputfile_1=sys.argv[1]
inputfile_2=sys.argv[2]
#create dictionary
def list2dict(s):
d={}
for i in s:
if i in d.keys():
d[i]=d[i]+1
else:
d[i]=1
return d
#define a function to match key and value between 2 files
def cmplist (s1,s2):
d1=list... | Becky2012/Large-file-discrepancy-checks | check.py | check.py | py | 1,755 | python | en | code | 0 | github-code | 50 |
16325613872 | #!/usr/bin/env python
# coding: utf-8
# ECON 280A
#
# PS 1
#
# By Yi-Fan, Lin
# In[1]:
import pandas as pd
import numpy as np
from scipy.optimize import fsolve
from sympy import symbols, Eq, solve, nsolve
import matplotlib.pyplot as plt
# In[2]:
df = pd.read_excel("/Users/ricky/Documents/椰林大學/Berkeley/Interna... | Yifan3018/Armington-model-in-international-trade | PS1.py | PS1.py | py | 5,541 | python | en | code | 1 | github-code | 50 |
15892916608 | from collections import defaultdict
def solution(dirs):
d = defaultdict(list)
cur_x = 0
cur_y = 0
x = [0, 0, 1, -1]
y = [1, -1, 0, 0]
cnt = 0
for e in dirs:
to_x = cur_x
to_y = cur_y
if e == 'U':
to_x += x[0]
to_y += y[0]
elif e =... | hyunsoolee991/cs | algorithm/programmers/방문 길이.py | 방문 길이.py | py | 1,866 | python | ko | code | 0 | github-code | 50 |
71346745115 | from os import path
from mediakit.utils.files import increment_filename_if_exists
from mediakit.utils.commands import run_command_in_background
from mediakit.constants import FFMPEG_BINARY
VIDEO_FORMATS = {"mp4"}
class ConversionOptions:
NO_AUDIO = "-an"
def merge_video_and_audio(
video_path, audio_path,... | diego-aquino/mediakit | mediakit/media/convert.py | convert.py | py | 1,080 | python | en | code | 11 | github-code | 50 |
36424255650 | #http://scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html#sphx-glr-auto-examples-model-selection-plot-grid-search-digits-py
from __future__ import print_function
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report
from sklearn.svm import S... | boyko11/ML1-SupervisedLearning | grid_search.py | grid_search.py | py | 3,243 | python | en | code | 0 | github-code | 50 |
36046350963 | import os
class CustomValidator:
@staticmethod
def path_validate(path: str) -> str:
"""
try:
path = validate_path(" my /path /with spaces ")
print(f"The path {path} is valid.")
except FileNotFoundError as e:
print(e)
:param path:
:re... | jerome-neo/Command-line-Data-Processor | validator/custom_validator.py | custom_validator.py | py | 579 | python | en | code | 0 | github-code | 50 |
3912202681 | from rk_diagram.models import RKPipeline, LocalizationAlgorithm, TransformNode
from rk_diagram.visualize import RKModelVisualizer
from rk_diagram.models.graph import EdgeType, Edge
import numpy as np
class HierarchicalFeatureExtractor1():
'''
Generates a heirarchical feature extractor
TODO: Think about 2+... | andorsk/rk_toolkit | example/example.py | example.py | py | 4,225 | python | en | code | 2 | github-code | 50 |
637859362 | from selenium import webdriver
from selenium.webdriver.common.by import By
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.wait import WebDriverWait
from crud ... | CaioFreitas96/scraping | scraping.py | scraping.py | py | 4,411 | python | pt | code | 0 | github-code | 50 |
29053233199 | x=10
y=2
print(x//y)
x=10
y=3
print(x//y)
x=10
y=8.5
print(x//y)
# algorithm
# 10,1,8,3,6,5,4,7,x,y
# Find the general solution of x and y
# x-> 2 y->9
# Step1: Start
# Step2: Initialise a variable named n
# Step3:x=n+1
# Step4:a=x+2
# Step5:b=x-2
# Step6: if x%2=0, then x+a
# Step7: if x%2!=0,... | RiyaBaid/Python | floordivision.py | floordivision.py | py | 346 | python | en | code | 0 | github-code | 50 |
35880060544 | # O nome e a posição das colunas dos dados históricos e das estações são diferentes!
# Esse dicionário vai nos auxiliar para pegar um determinado dado nas duas tabelas.
# lista[0] -> Colunas como estão nos dados históricos.
# lista[1] -> Colunas como estão nos dados das estações (website).
d_dic = {
"Data": ['DATA ... | NeoFahrenheit/inmet-scraper | id.py | id.py | py | 2,115 | python | pt | code | 0 | github-code | 50 |
39518772432 | from random import random
import requests
from flask import Flask, request
from conf import (
get_healthy_server,
healthcheck,
load_configuration,
process_firewall_rules_flag,
process_rules,
process_rewrite_rules,
transform_backends_from_config,
)
loadbalancer = Flask(__name__)
MAIL_BACK... | leader8901/testServer | balancer.py | balancer.py | py | 1,317 | python | en | code | 0 | github-code | 50 |
1282240873 | import os
import numpy as np
import random
from gym.envs.mujoco.pusher import PusherEnv
from evaluation.eval import Eval
from data import utils
XML_FOLDER = "/media/stephen/c6c2821e-ed17-493a-b35b-4b66f0b21ee7/MIL/gym/gym/envs/mujoco/assets"
class EvalMilPush(Eval):
def _load_env(self, xml):
xml = xml[x... | stepjam/TecNets | evaluation/eval_mil_push.py | eval_mil_push.py | py | 2,852 | python | en | code | 40 | github-code | 50 |
17566333407 | n=int(input())
k=n
l=(n*(n+1))//2
num=0
if(l)%2==0:
l=l//2
ls=[i for i in range(1,n+1)]
ls1=[]
while(num!=l):
if(l-num)<n:
ls1.append(l-num)
break
else:
num+=n
n-=1
ls1.append(n+1)
print("YES")
print(len(ls1))
print(*ls1)
print(k-len(ls1))
s2=set(ls)-set(ls1)
ls2=list(s... | SaranSaiChava/Problem_Solving | CSES/twosets.py | twosets.py | py | 382 | python | en | code | 0 | github-code | 50 |
13917300027 | import pickle
import os
import sys
import ast
from header import Driver
import struct
import subprocess
import re
from pprint import pprint
import pandas as pd
from collections import defaultdict
# set working directory
WD = os.path.dirname(os.path.abspath(__file__))
os.chdir(WD)
d_p = "../../AutoRNP/experiments/testi... | Sherryhh/fpdiff_extend | fp-diff-testing/workspace/driverGenerator.py | driverGenerator.py | py | 8,600 | python | en | code | 1 | github-code | 50 |
10070441282 | import datetime
import os
import sys
from importlib import reload
from antlr4 import *
from CnfUtility import CnfUtility
from CnfVcGenerator import CnfVcGenerator
from MyCFG import MyCFG
from MyHelper import MyHelper
from MyUtility import MyUtility
from MyVisitor import MyVisitor
from PreProcessor import PreProcessor... | NabeelQaiser/BTP_2k18-19 | simulator_cnf.py | simulator_cnf.py | py | 17,501 | python | en | code | 1 | github-code | 50 |
18659979731 | from configparser import ConfigParser
from datetime import timedelta, datetime
from discord_webhook import DiscordWebhook
import os, random, requests, re
from typing import TypedDict, Union
class UserNameResponseDict(TypedDict):
personaname:str
name:str
def get_username(steam_id:int) -> Union[UserNameResponse... | lekjos/vhserver-walmart-greeter | discord_post.py | discord_post.py | py | 7,031 | python | en | code | 1 | github-code | 50 |
28076502272 | # -*- coding: utf-8 -*-
"""
@Author 坦克手贝塔
@Date 2023/2/8 0:25
"""
from typing import List
"""
你是一位系统管理员，手里有一份文件夹列表 folder，你的任务是要删除该列表中的所有 子文件夹，并以 任意顺序 返回剩下的文件夹。
如果文件夹 folder[i] 位于另一个文件夹 folder[j] 下，那么 folder[i] 就是 folder[j] 的 子文件夹 。
文件夹的“路径”是由一个或多个按以下格式串联形成的字符串：'/' 后跟一个或者多个小写英文字母。
例如，"/leetcode" 和 "/leetcode/... | TankManBeta/LeetCode-Python | problem1233_medium.py | problem1233_medium.py | py | 1,569 | python | zh | code | 0 | github-code | 50 |
705515631 | import math
import os
import time
from copy import deepcopy
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
def init_seeds(seed=0):
torch.manual_seed(seed)
# Speed-reproducibility tradeoff https://pytorch.org/docs/st... | WongKinYiu/ScaledYOLOv4 | utils/torch_utils.py | torch_utils.py | py | 8,846 | python | en | code | 2,013 | github-code | 50 |
72328303514 | import io
# アクセスするときに使う
import requests
import zipfile
# 普通に書いた場合
# with open('/tmp/a.txt','w') as f:
# f.write('test test')
#
# with open('/tmp/a.txt','r') as f:
# print(f.read())
#
f =io.StringIO()
f.write('string io test')
# 最初に戻る
f.seek(0)
print(f.read())
# 使用例
# zipfileをダウンロードをメモリ上で処理するときとかに使用する
u... | magisystem0408/python_cord_dir | library/io.py | io.py | py | 609 | python | ja | code | 0 | github-code | 50 |
70988579675 | import torch
import torch.nn as nn
import torch.optim as optim
import matplotlib.pyplot as plt
from Mesh import *
from Utils import *
import math
def F(Pi, Pj, k, r):
return k * (torch.linalg.norm(Pi - Pj) - r) * (Pj - Pi) / torch.linalg.norm(Pi - Pj)
def force_magnitude_sum(mesh):
l = 0
for vIndex, this ... | COMP0031VRProject/Framework | spring_mesh_example.py | spring_mesh_example.py | py | 1,950 | python | en | code | 0 | github-code | 50 |
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