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
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31621055131 | from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Request, Header
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from google.cloud import datastore
from typing import List
from fastapi.middleware.cors import CORSMiddleware
from functools import wraps
import uuid
import uvicorn
imp... | kshithijareddy/jobsmaster | Backend/chat/main.py | main.py | py | 3,344 | python | en | code | 0 | github-code | 13 |
30607414625 | # Import required libraries
# general imports
import numpy as np
from numpy import vstack
from numpy import argmax
# import for calculating the accuracy and confusion matrix
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix
from sklearn.metrics import ConfusionMatrixDisplay
# impor... | dmegkos/Noisy-handwritten-digits-classification-using-MLP-and-CNN | customCNN.py | customCNN.py | py | 10,292 | python | en | code | 0 | github-code | 13 |
21909732615 | """
Wizard to help user select parameters for various operations. WIP.
"""
import numpy as np
import sys
from PyQt5 import QtWidgets, QtCore, Qt, QtGui
class HelpWindow(QtWidgets.QMainWindow):
def __init__(self, app):
super(HelpWindow, self).__init__()
#######################
# ... | Jfeatherstone/pepe | pepe/auto/ParameterSelect.py | ParameterSelect.py | py | 2,190 | python | en | code | 1 | github-code | 13 |
909330423 | import json
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
data = open("polygon.json").read()
data = json.loads(data)
for plot_area in data:
coords = data[plot_area]["Road"]
plt.figure(figsize=(8, 8))
plt.axis('equal')
for coord in coords:
coords_x = ... | CarParty/CarParty | resources/json_examples/polygon.py | polygon.py | py | 900 | python | en | code | 3 | github-code | 13 |
9336145567 | from bs4 import BeautifulSoup
from pprint import pprint
from scraper.sas.sas_models import SASEvent, SASCategory, SASCategoryStage, SASEventStage
from scraper.base_models.models import Event, Category, CategoryStage, EventStage, Participant, Result
from scraper.sas.sas_config import DESTINATION_URL, MTB_EVENT_TYPE, YE... | coertzec/scraper | scraper/sas/scrape.py | scrape.py | py | 11,067 | python | en | code | 0 | github-code | 13 |
3634652820 | # Triangular Letter Pattern
num = int(input("Enter Number: "))
Num = 65
for i in range(1,num+1):
for j in range(i,i+1):
print(i * chr(Num),end= '')
Num +=1
print("")
# Option-2
for i in range(0,num):
print(chr(65 + i) * (i+1)) | ashish-kumar-hit/python-qt | python/python-basics-100/Loops 2.6.py | Loops 2.6.py | py | 255 | python | en | code | 0 | github-code | 13 |
35060658520 | """
Brightness in an image can be changed simply by adding or subtracting a constant
from each RGB value in the image. This is that implementation.
"""
from typing import List, Tuple
import numpy as np
from PIL import Image
import click
def brighten(img_arr: np.ndarray, brightness_factor: float) -> np.ndarray:
"... | kathirmeyyappan/edge-detector-algorithms | src/other_algorithms/brightness.py | brightness.py | py | 1,871 | python | en | code | 3 | github-code | 13 |
34040839162 | import numpy as np
import matplotlib
from matplotlib import pyplot as plt
import math
def nearest_idx(array, value):
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return idx
# D_opt_avg[i][2]+100*D_opt_avg[i][6]
# (B, B_1, earnings, avg_l_price, avg_off_price, B+B_1-sum(cost[1:]), B-co... | ydidwania/Coffee-Conundrum | final/extend.py | extend.py | py | 2,593 | python | en | code | 0 | github-code | 13 |
23028221159 | import os
import sys
import traceback
import types
import gc
import torch
import torch.nn as nn
import torch.optim as optim
from diora.net.diora import DioraTreeLSTM
from diora.net.diora import DioraMLP
from diora.net.diora import DioraMLPShared
from diora.logging.configuration import get_logger
def override_inside... | anshuln/Diora_with_rules | pytorch/diora/net/trainer.py | trainer.py | py | 20,666 | python | en | code | 4 | github-code | 13 |
1280044607 | # https://leetcode.com/problems/reverse-string/
def reverseString(s):
left,right = 0,len(s)-1
while(left < right):
# swap s[left] and s[right]
s[left],s[right] = s[right],s[left]
left+=1
right-=1
return s
print(reverseString(["h","e","l","l","o"]))
print(reverseString(["... | Rajjada001/LeetCode-Topic_Wise-Problems | Strings/1.reverseString.py | 1.reverseString.py | py | 346 | python | en | code | 0 | github-code | 13 |
9407734339 | import numpy as np
from itertools import groupby
from find_modes_mean_shift import findModesMeanShift
def edgeOrientations(img_angle, img_weight):
# init v1 and v2
v1 = [0, 0]
v2 = [0, 0]
# number of bins (histogram parameters)
bin_num = 32
# convert images to vectors
vec... | postBG/libcbdetect | code/edge_orientation.py | edge_orientation.py | py | 2,000 | python | en | code | 1 | github-code | 13 |
42168561182 | """ As the seeds get bigger we break new records in lenght or in height.
Usage: import records
Usage: from records import heightrecords
Usage: from records import lengthtrecords
>>> lengthrecords(20)
[(1, 1), (2, 2), (3, 8), (6, 9), (7, 17), (9, 20), (18, 21)]
>>> heightrecords(250)
[(1, 1), (2, 2), (3, ... | lzhengem/python-projects | LAB04/hailstoneslab/records.py | records.py | py | 1,625 | python | en | code | 0 | github-code | 13 |
43082964712 | #
# @lc app=leetcode.cn id=1154 lang=python3
#
# [1154] 一年中的第几天
#
# @lc code=start
class Solution:
def dayOfYear(self, date: str) -> int:
# 拆出年月日
year, month, day = [int(x) for x in date.split("-")]
# 模拟每一年的每月天数
amount = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
# 闰年... | Guo-xuejian/leetcode-practice | 1154.一年中的第几天.py | 1154.一年中的第几天.py | py | 592 | python | en | code | 1 | github-code | 13 |
30847785045 | # use torch to build a rbfnet to fit 2-d points.
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import matplotlib.pyplot as plt
import copy
class RBFNet(nn.Module):
def __init__(self, n = 5):
super(RBFNet, self).__init__()
# the number of neurons in hidden layer.
... | wlsdzyzl/GAMES102 | hw2/rbfnet.py | rbfnet.py | py | 2,845 | python | en | code | 14 | github-code | 13 |
70713148498 | import hid
import time
product_id = 0x2107
vendor_id = 0x413D
usage_page = 0xFF00
# 初始化HID设备
def init_usb(vendor_id, usage_page):
global h
h = hid.device()
hid_enumerate = hid.enumerate()
device_path = 0
for i in range(len(hid_enumerate)):
print(hid_enumerate[i])
# if (hid_enumera... | Jackadminx/KVM-Card-Mini | Client/module/hid_def.py | hid_def.py | py | 1,667 | python | en | code | 53 | github-code | 13 |
29530333138 | from __future__ import annotations
import numpy as np
from ConfigSpace import (
Categorical,
Configuration,
ConfigurationSpace,
Float,
Integer,
)
import sklearn
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sklearn.compose import ColumnTransformer
from skl... | josephgiovanelli/mo-importance | src/inner_loop/sklearn_model.py | sklearn_model.py | py | 2,499 | python | en | code | 0 | github-code | 13 |
7953458575 | import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
LENGTH = 2
ANGLE = np.pi/2
stack = []
dragonX = 'X+YF+'
dragonY = '-FX-Y'
hilbert_curveX = '-YF+XFX+FY-'
hilbert_curveY = '+XF-YFY-FX+'
def draw_fractal(actual_position, rule, angle, number_of_iterations, ... | maras49/NAVY | CV_6/__init__.py | __init__.py | py | 2,120 | python | en | code | 0 | github-code | 13 |
31087824503 | #!/usr/bin/python3
"""
Flask implementation for the HTTP Server
Overall this is more noisy and doesnt just die when you tell it too
"""
import logging
from os import environ
from threading import Thread
from datetime import datetime
from flask import Flask, request
try:
from .logger impor... | notxesh/sebknary | sebknary/http/flask-app.py | flask-app.py | py | 1,982 | python | en | code | 3 | github-code | 13 |
18484684734 | import numpy as np
import json
from dataclasses import dataclass
import math
import time
import arcade
import algorithms
import isometric
import constants as c
import interaction
from vision import VisionCalculator
from map_tile import Tile
# GATES and POI_LIGHTS are the highlights used to show the player points of ... | DragonMoffon/Temporum | mapdata.py | mapdata.py | py | 20,017 | python | en | code | 2 | github-code | 13 |
25718805079 | import requests
from bs4 import BeautifulSoup
import time
def soupify(url):
try:
r = requests.get(url)
soup = BeautifulSoup(r.content, 'html.parser', from_encoding='utf-8')
soup.prettify()
return r, soup
except:
time.sleep(3)
def rev_address(r, soup):
r_links = [... | iglee/outrunJulesVerne | src/parse_funcs.py | parse_funcs.py | py | 1,376 | python | en | code | 7 | github-code | 13 |
4974027926 | '''
https://www.acmicpc.net/problem/18222
문제
0과 1로 이루어진 길이가 무한한 문자열 X가 있다. 이 문자열은 다음과 같은 과정으로 만들어진다.
X는 맨 처음에 "0"으로 시작한다.
X에서 0을 1로, 1을 0으로 뒤바꾼 문자열 X'을 만든다.
X의 뒤에 X'를 붙인 문자열을 X로 다시 정의한다.
2~3의 과정을 무한히 반복한다.
즉, X는 처음에 "0"으로 시작하여 "01"이 되고, "0110"이 되고, "01101001"이 되고, ⋯ 의 과정을 거쳐 다음과 같이 나타내어진다.
"0110100110010110100... | yeos60490/algorithm | 백준/18222-투에모스문자열.py | 18222-투에모스문자열.py | py | 1,122 | python | ko | code | 0 | github-code | 13 |
31237114039 | def homework_6(nodes): # 請同學記得把檔案名稱改成自己的學號(ex.1104813.py)
n=len(nodes)
initial = [[float("inf")]*n for i in range(n)] #列出各點之間之距離
for i in range(n):
for j in range(n):
if i==j:
continue
if i!=j:
initial[i][j]=abs(nodes[i][0]-nodes[j][0])+abs(nod... | daniel880423/Member_System | file/hw6/1090338/hw6_s1090338_0.py | hw6_s1090338_0.py | py | 1,346 | python | en | code | 0 | github-code | 13 |
21361088473 | import spglib
from ase.io import read
from ase.neighborlist import neighbor_list
import matplotlib.pyplot as plt
import argparse
parser = argparse.ArgumentParser(description='Calculate and plot bond lengths for given input file and cutoff distance.')
parser.add_argument('input_file', type=str, help='path to input file... | mzkhalid039/Bond-lengths | bond_lengths.py | bond_lengths.py | py | 2,239 | python | en | code | 3 | github-code | 13 |
25906669302 | from .scraper import NewsScraper
from .console import Console
from .constants import constants
if __name__ == "__main__":
run_program = True
console = Console()
news_scrapper = NewsScraper()
news_scrapper.default()
console.start_program()
while run_program:
menu_execution = 0
... | meobilivang/newsreader-cli | newsreadercli/__main__.py | __main__.py | py | 667 | python | en | code | 6 | github-code | 13 |
42809800591 | """initial migration.
Revision ID: a65f918ff3a0
Revises:
Create Date: 2022-01-24 10:37:29.136316
"""
from alembic import op
from sqlalchemy.dialects import postgresql
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a65f918ff3a0'
down_revision = None
branch_labels = None
depends_on = Non... | BorodaUA/practice_api_server | db/migrations/versions/a65f918ff3a0_initial_migration.py | a65f918ff3a0_initial_migration.py | py | 1,400 | python | en | code | 0 | github-code | 13 |
2957049975 | # -*- coding: UTF-8 -*-
# 开发团队： xx科技
# 开发人员： lee
# 创建时间： 3/8/20 12:06 AM
# 文件名称： 322-coinChange.py
from typing import List
class Solution:
def coinChange2(self, coins: List[int], amount: int) -> int:
coins_sort = list(reversed(coins))
nums, max = 0, len(coins_sort) - 1
results = []
... | yanhuilee/hello_leetcode | src/main/python3.6/322-coinChange.py | 322-coinChange.py | py | 1,302 | python | en | code | 1 | github-code | 13 |
22165349969 | data = []
count = 0
with open('reviews.txt', 'r') as f:
for line in f:
data.append(line)
count += 1
if count % 10000 == 0:
print(len(data))
print('讀取完成，共有', len(data), '筆資料')
sum_length = 0
for d in data:
sum_length = sum_length + len(d)
print('每一筆的平均長度為', sum_length/len(data), '個字')
wc = {}
for d in dat... | iwels/read_count | read.py | read.py | py | 771 | python | en | code | 0 | github-code | 13 |
7008590695 | from DUBtils import *
database_name="三国集团"
sql="insert into information values (%s,%s,%s,%s,%s,%s,%s)"
param=['曹操',56,'男',106,'IBM',500,50]
updata(sql,param,database_name)
sql1="insert into information values (%s,%s,%s,%s,%s,%s,%s)"
param1=['大桥',19,'女',230,'微软',501,60]
updata(sql1,param1,database_name)
sql2="in... | zhongyusheng/store | 练习3.py | 练习3.py | py | 2,560 | python | en | code | 0 | github-code | 13 |
39233588354 | # -*- encoding:utf-8 -*-
"""
Author:wangqing
Date: 20190707
Version：1.3
实现模型的建立，模型具体细节：
1. Encoder部分
由于各个段落的长度不一致，因此分别将各个段落送入BertModel中
经过BertModel得到embedding
在这个过程中，注意到有一个函数，model.train()或者model.eval()
这个两个参数仅对模型中有dropout时有影响。
Encoder出来后，得到的output为;encoder_layer,pooled_output,
encoder_layer中的结果为我们所需的hidden_state
2. De... | CatherineWong1/hierarchy_model | hierarchy_model.py | hierarchy_model.py | py | 2,390 | python | zh | code | 0 | github-code | 13 |
18578522800 | ## extra file to test loading txt file into a list. function was also added in project1.py
def load_txt(filename):
# opening the file in read mode
my_file = open(filename, "r")
# reading the file
data = my_file.read()
# replacing end of line('/n') with ' ' and
# splitting the text it further ... | Brunozml/ml1_p1_linear_reg | loadtxt.py | loadtxt.py | py | 504 | python | en | code | 0 | github-code | 13 |
16132559683 | import collections
import multiprocessing as mp
Msg = collections.namedtuple("Msg", ["event", "args"])
class BaseProcess(mp.Process):
"""A process backed by an internal queue for simple one-way message passing."""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.qu... | udhayprakash/PythonMaterial | python3/19_Concurrency_and_Parallel_Programming/02_multiprocessing/example2.py | example2.py | py | 1,073 | python | en | code | 7 | github-code | 13 |
39447991925 | import torch
import torch.nn as nn
class TextEncoder(torch.nn.Module):
def __init__(self, hidden_size, input_dim, n_layers=1, dropout=0):
super(TextEncoder, self).__init__()
self.n_layers = n_layers
self.hidden_size = hidden_size
self.embedding = nn.Embedding(input_dim, sel... | talk2car/Talk2Car | baseline/models/nlp_models.py | nlp_models.py | py | 1,317 | python | en | code | 50 | github-code | 13 |
28105948739 | #!/usr/bin/env python3
import sys
class Day04:
def __init__(self, file):
self.data = [line.strip() for line in open(file).readlines()]
@staticmethod
def parse_line(line):
def parse_section(section):
first, second = section.split('-')
return set(range(int(first), int(... | danschaffer/aoc | 2022/day04.py | day04.py | py | 1,260 | python | en | code | 0 | github-code | 13 |
8868623369 | # -*- coding: utf-8 -*-
"""
Created on Sun Dec 6 01:36:40 2020
@author: apmle
"""
'''This is a program to convert Temperature in degrees Celsius to degrees Fahrenheit'''
def convert(Celsius):
F= (Celsius*9/5)+32
print(f"{Celsius} degrees in Celsius is equivalent to {F} degrees Fahrenheit")
... | FabioRochaPoeta/Python-v1-Ana | Celsius to Fahrenheit.py | Celsius to Fahrenheit.py | py | 545 | python | en | code | 1 | github-code | 13 |
27389303153 | import pickle
import numpy as np
from utils import get_sentence_vector, get_glove_matrix
# 导入预处理后的问题列表
preprocessed_question_list = pickle.load(open('model/preprocessed_question_list.pkl', 'rb'))
# # 建立GloVe矩阵
# glove_words, embeddings = get_glove_matrix()
#
# # 保存GloVe中的词头到文件
# with open('model/glove_words.pkl', 'wb... | huangjunxin/SimpleQuestionAnsweringSystem | vectorize_corpus_glove.py | vectorize_corpus_glove.py | py | 1,234 | python | en | code | 4 | github-code | 13 |
39709992731 | from manimlib.imports import *
class Equations(Scene):
def construct(self):
#Making equations
first_eq = TextMobject("$$S = \\int_{a}^{b} 2\\pi f(x) \\sqrt{1+[\\frac{dy}{dx}]^2} dx$$")
second_eq = ["$S$", "=", "$\\int_{a}^{b}$", "$2\\pi f(x)$", "$\\sqrt{1+[f'(x)]^2} dx$",]
second_... | advayk/Manim-CalcII-Project | trial_equations.py | trial_equations.py | py | 1,267 | python | en | code | 0 | github-code | 13 |
21792333050 | import functools
import logbook
import math
import numpy as np
import numpy.linalg as la
from alephnull.finance import trading
import pandas as pd
import risk
from . risk import (
alpha,
check_entry,
information_ratio,
sharpe_ratio,
sortino_ratio,
)
log = logbook.Logger('Risk Period')
choose_t... | CarterBain/AlephNull | alephnull/finance/risk/period.py | period.py | py | 9,040 | python | en | code | 259 | github-code | 13 |
18859958667 | import json
from time import sleep
import requests
from requests.models import Response
from serial import Serial
ser = Serial('COM2', 9600) # baudrate
print('Serial port is open: ' + str(ser.is_open))
while True:
print('Waiting for data...')
data = str(ser.readline())[2:-5]
print('Data received: ' + da... | BrahR/Supervision | Arduino/serial_COM2.py | serial_COM2.py | py | 605 | python | en | code | 0 | github-code | 13 |
71252112017 | ##########################################################################################
# CityXen 16 Relay Board Serial Bridge Program
# by Deadline
#
# NOTE: This is subject to heavy modification, especially the way it converts the signals
# so don't presume that the state it is in now is the way it will stay
#
# R... | cityxen/HACKME | Click-A-Tron/Click-A-Tron.py | Click-A-Tron.py | py | 7,527 | python | en | code | 0 | github-code | 13 |
14505760577 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.action_chains import ActionChains
from bs4 import BeautifulSoup
from time import sleep
import random
from project_solo_app.models import Background_Task, Job, Li_Job, Li_Company, Li_Poster, Web_Scrape_Er... | catalystTGJ/01_project_solo | tasks/webscrape_li.py | webscrape_li.py | py | 12,193 | python | en | code | 0 | github-code | 13 |
9730566725 | # coding: UTF-8
from burp import ITab
from burp import IBurpExtender
from burp import IProxyListener
from burp import IBurpExtenderCallbacks
from burp import IContextMenuFactory
from burp import IContextMenuInvocation
from javax.swing import JPanel
from javax.swing import JButton
from javax.swing import JLabel
from ja... | WhaleMountain/Match-and-Replace | match-and-replace.py | match-and-replace.py | py | 10,837 | python | en | code | 0 | github-code | 13 |
22454449734 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('README.rst') as f:
README = f.read()
with open('LICENSE') as f:
LICENSE = f.read()
setup(
name='python-sample',
version='0.1.0',
description='Sample Python Project',
long_description=README,
author='Ben Schmitt... | foxdb/python-sample | setup.py | setup.py | py | 493 | python | en | code | 0 | github-code | 13 |
17153516901 | import argparse
import numpy as np
from torch import nn
from erfnet_cp import customized_erfnet, erfnet
from gpu_energy_eval import GPUEnergyEvaluator
import time
import torch
import random
class CustomizedAlexnet(nn.Module):
def __init__(self, width=None):
super(CustomizedAlexnet, self).__init__()
... | hyang1990/energy_constrained_compression | energy_tr_gen.py | energy_tr_gen.py | py | 7,618 | python | en | code | 21 | github-code | 13 |
6985844056 | import numpy as np
import copy
def retrieve_index_and_tfidf_from_txt(doc_index):
'''
get term indexes and their unit tfidfs from specified documents
'''
index = []
unit_tfidf = []
pos = './result/doc' + str(doc_index) + '.txt'
with open(pos) as f:
count = 0
for l... | shengyenlin/Introduction-to-information-retrieval-and-text-mining-Fall-2020 | hw4/pa4.py | pa4.py | py | 4,839 | python | en | code | 0 | github-code | 13 |
17058371604 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class PromoPageResult(object):
def __init__(self):
self._page_num = None
self._page_size = None
self._total_count = None
self._total_pages = None
@property
def ... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/PromoPageResult.py | PromoPageResult.py | py | 2,369 | python | en | code | 241 | github-code | 13 |
1064691272 | import re
from py2neo import Graph, Node, Relationship
test_graph = Graph("http://localhost:7474", username="neo4j", password="08166517416reny")
input_message = input('input your message:')
def kgquery_entity(target):
find_entity = test_graph.find_one(re.search(r".*[老师/学生/项目]", target).group(0), property_ke... | Veronica1997/knowledge-graph | match_test.py | match_test.py | py | 3,805 | python | en | code | 6 | github-code | 13 |
14624965323 | from gtts import gTTS
from base.models import RecipeInstruction
from pydub import AudioSegment
import os
def getRecipeAudio(recipe_instructions, user_id = 0, language = 'en'):
for i in recipe_instructions:
myobj = gTTS(text=i.instruction, lang=language, slow=False)
myobj.save('media/%d_%d_%d.m... | jincy-p-janardhanan/recipettsdjango | services/tts_service.py | tts_service.py | py | 1,330 | python | en | code | 0 | github-code | 13 |
15289497457 | import datetime
import re
from django import forms
from django.forms.widgets import DateInput
from django.core.exceptions import ValidationError
from django.contrib.postgres.fields import ArrayField
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, PermissionsMixin
from django.utils import timez... | DiplomaTeamSDU/PartTimersApp | jobs/models.py | models.py | py | 10,819 | python | en | code | 0 | github-code | 13 |
22648490107 | #!/usr/bin/env python
import boto3
import json
import logging
import pystac
import requests
import landsat
from boto3 import Session
from boto3utils import s3
from cirruslib import Catalog
from cirruslib.errors import InvalidInput
from dateutil.parser import parse
from os import getenv, environ, path as op
from shutil... | cirrus-geo/cirrus-earth-search | tasks/landsat-to-stac/task.py | task.py | py | 5,303 | python | en | code | 21 | github-code | 13 |
12679648787 | """
给定一个链表，两两交换其中相邻的结点，并返回交换后的链表。
注：不能只是单纯的改变结点内部的值，而是需要实际的进行结点交换
"""
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def swapPairs(self, head: ListNode) -> ListNode:
def helper(start):
if not start.next:
return
... | ayingxp/LeetCode | recursion/common/swap_pairs.py | swap_pairs.py | py | 1,290 | python | en | code | 0 | github-code | 13 |
38275394215 | from machine import Pin
import time
def toggle(p):
p.value(not p.value())
def callback(p):
print('pin change', p)
led = Pin(2, Pin.OUT)
led.irq(trigger=Pin.IRQ_RISING | Pin.IRQ_FALLING, handler=callback)
led.on()
while True:
toggle(led)
time.sleep_ms(500) | Shinner/ESP32Demo | common/led.py | led.py | py | 275 | python | en | code | 0 | github-code | 13 |
17814527825 | import visitAllNodes
input = open("input/9", "r").read().strip()
lines = input.splitlines()
distances = {}
for journey in lines:
route, distance = journey.split(" = ")
distances[frozenset(route.split(" to "))] = int(distance)
print(visitAllNodes.getWeight(distances)) | QuarkNerd/adventOfCode | 2015/9.py | 9.py | py | 279 | python | en | code | 1 | github-code | 13 |
10205779525 | import selectors
import socket
import types
# Where to connect to.
HOST = 'localhost'
PORT = 65432
# Selector for handling multiple connections.
sel = selectors.DefaultSelector()
# The byte messages that will be sent.
m1 = b''
m2 = b''
for i in range(0, 250):
m1 += b'a'
m2 += b'b'
MESSAGES = [m1, m2]
def s... | jlangvand/Sat2RF1-TCP | tests/connection_tester.py | connection_tester.py | py | 2,629 | python | en | code | 1 | github-code | 13 |
20694503697 | from rss_fetch import CheckFeeds
from load_config import load_section
#LOAD INI CONFIG TO GET ALL THE RSS URLs
THE_FEEDS = load_section()
print("THE FEEDS: ", THE_FEEDS)
test_feed_url = 'http://ourbigdumbmouth.libsyn.com/rss'
def run_get_feed(the_feed_url):
"""
do stuff
:return:
"""
print("TES... | maxnotmin/podcast_transfer | main.py | main.py | py | 976 | python | en | code | 0 | github-code | 13 |
37320269273 | from projects.qm_brain.utils.utils import *
import scipy.stats as ss
import numpy as np
import pandas as pd
cond10_taken_avg_tpm = load_matrix('/home/user/Desktop/QMBrain/tpm/8_regions/tpm_us_taken.csv')
cond12_taken_avg_tpm = load_matrix('/home/user/Desktop/QMBrain/tpm/8_regions/tpm_s_taken.csv')
cond10_byd_avg_tpm =... | jrudascas/brain_lab | projects/qm_brain/TPM/avg_tpm_stat.py | avg_tpm_stat.py | py | 2,991 | python | en | code | 2 | github-code | 13 |
37086500206 | from typing import Union
import torch
from e3nn import o3
from e3nn.util.jit import compile_mode
from nequip.data import AtomicDataDict
from nequip.nn import GraphModuleMixin
@compile_mode("script")
class EdgeSymmetricEmbedding(GraphModuleMixin, torch.nn.Module):
"""Construct edge attrs as a concatenation of a... | klarh/gala-nequip-plugin | gala_nequip_plugin/nn/embedding/EdgeSymmetricEmbedding.py | EdgeSymmetricEmbedding.py | py | 1,293 | python | en | code | 1 | github-code | 13 |
40366557176 | import tensorflow as tf
from google.protobuf import text_format
from object_detection.protos import pipeline_pb2
from absl import app
from absl import flags
import os
flags.DEFINE_integer(
'step', 10000, """num_steps""")
flags.DEFINE_integer(
'batch', 8, """batch size""")
flags.DEFINE_integer(
'num_class', 3, """Re... | Dansato1203/TFLite_ObjectDetector | src/fix_pipeline.py | fix_pipeline.py | py | 2,091 | python | en | code | 1 | github-code | 13 |
69837490579 | import math
import sys
import numpy as np
from hexgames.hexGrid import HexGrid
from simWorld import SimWorld
from actor_and_critic import *
import random
import time
import matplotlib.pyplot as plt
class Agent:
def __init__(self, env, actor, critic, epsilon = 0.5):
self.epsilon = epsilon
self.simW... | Brakahaugen/Peg-solitaire-RL | agent.py | agent.py | py | 1,262 | python | en | code | 0 | github-code | 13 |
70148065617 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
# from ..utils import *
from daakg.sampling import typed_sampling
class Decoder(nn.Module):
def __init__(self, name, params):
super(Decoder, self).__init__()
self.print_name = name
if name.startswith("[")... | nju-websoft/DAAKG | daakg/model/decoder.py | decoder.py | py | 7,346 | python | en | code | 3 | github-code | 13 |
44407873101 | # -*- coding: utf-8 -*-
"""Tricks for defining numeric types
Routine Listings
----------------
The following return mixin classes for defining numeric operators / functions:
convert_mixin
Methods for conversion to `complex`, `float`, `int`.
ordered_mixin
Comparison operators
mathops_mixin
Arithmetic opera... | subhylahiri/sl_py_tools | number_like.py | number_like.py | py | 36,268 | python | en | code | 1 | github-code | 13 |
23406900532 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import optim
from torch.autograd import Variable
import numpy as np
import torch_util
from tqdm import tqdm
from model.baseModel import model_eval
import util.save_tool as save_tool
import os
from datetime import datetime
import util.data_lo... | easonnie/multiNLI_encoder | model/tested_model/stack_3bilstm_last_encoder.py | stack_3bilstm_last_encoder.py | py | 10,220 | python | en | code | 59 | github-code | 13 |
30643406912 | import random
def roll_dice(num_dice):
print(f"\nRolling {num_dice} dice...")
for _ in range(num_dice):
dice_value = random.randint(1, 6)
print(f"Dice: {dice_value}")
def main():
while True:
print("\nWelcome to the Dice Rolling App!")
print("1. Roll the dice")
... | akash-inft1905/aidTec_Diceroller | diceroller.py | diceroller.py | py | 677 | python | en | code | 0 | github-code | 13 |
7867303342 | import datetime
from .base import ConnectionType
from copaco.utils import getFile
from copaco.constants.mappings import PRICELISTITEM_MAPPINGS, STOCK_MAPPINGS
from copaco.constants.constants import PRICELISTITEM_STATUS
from copaco.models.pricelist import PriceListItem, PriceList
class PriceListType(ConnectionType):
... | alexander-schillemans/python-copaco-connections | copaco/types/pricelist.py | pricelist.py | py | 3,079 | python | en | code | 0 | github-code | 13 |
1139150469 | # -*- coding: utf-8 -*-
"""
Created on 13.04.23
"""
import numpy as np
def cutout_image(annos, image, cutout_ratio, scale=1):
"""
Cut out the image according to the annotations, adding 20% margin to all sides
:param annos: num_keypoints x 2 or 3
:param image:
:param cutout_ratio: width to height ... | kaulquappe23/all-keypoints-jump-broadcast | utils/visualization.py | visualization.py | py | 1,780 | python | en | code | 1 | github-code | 13 |
42746779375 | import math
import numpy as np
from poptransformer import ops
from poptransformer.utils import shard, repeat, shard_fused_qkv
from poptransformer.layers import BaseLayer
from poptransformer.layers import Linear
class BaseAttention(BaseLayer):
softmax_fn_map = {
'aionnx': ops.softmax,
'ce': ops.sof... | graphcore/PopTransformer | poptransformer/models/llama2/attention.py | attention.py | py | 8,185 | python | en | code | 6 | github-code | 13 |
13418984523 | # -*- coding:utf-8 -*-
# 作者：IT小学生蔡坨坨
# 时间：2020/12/4 15:09
from django.conf.urls import url
from web.views import account
from web.views import home
urlpatterns = [
url(r'^send/sms/$', account.send_sms, name='send_sms'), # 发送短信验证码
url(r'^register/$', account.register, name='register'), # 注册
url(r'^login... | y297374507/saas | web/urls.py | urls.py | py | 725 | python | en | code | 0 | github-code | 13 |
73251601618 | import matplotlib.pyplot as plt
import numpy as np
from utils import TFuncs
import os
def plot_gp(ax, X, m, C, no_last_data,training_points=None):
""" Plotting utility to plot a GP fit with 95% confidence interval"""
# Plot 95% confidence interval
ax.fill_between(X[:, 0],
m - 1.96*np.sq... | Dwaipayan-R-C/SimCFD_ML | utils/plots.py | plots.py | py | 6,773 | python | en | code | 0 | github-code | 13 |
36940080710 | # Extended Rauch-Tung-Striebel smoother or Extended Kalman Smoother (EKS)
import jax
import chex
import jax.numpy as jnp
from .base import NLDS
from functools import partial
from typing import Dict, List, Tuple, Callable
from jsl.nlds import extended_kalman_filter as ekf
def smooth_step(state: Tuple[chex.Array, chex.... | gileshd/JSL | jsl/nlds/extended_kalman_smoother.py | extended_kalman_smoother.py | py | 2,520 | python | en | code | null | github-code | 13 |
10191740225 |
n= int(input())
arr = list(map(int, input().split()))
dy = [0] * n
dy[0] = 1
for i in range(1, n):
res = 0
for j in range(i):
if arr[j] < arr[i]:
if dy[j] > res:
res = dy[j]
dy[i] = res + 1
print(max(dy))
| Jinnie-J/Algorithm-study | python/동적계획법/최대_선_연결하기.py | 최대_선_연결하기.py | py | 254 | python | en | code | 0 | github-code | 13 |
71347980818 | from cryptozen.Euclid import GCD
import random
class Transpose:
def __init__(self, key):
self.key = key
self.encoded = ""
self.decoded = ""
def encrypt(self, message=None):
if message is None:
message = input("Enter message to encrypt: ")
if message == "":
... | Darknez07/CyberSec-Ciphers-hashes | cryptozen/cryptozen/Transposition.py | Transposition.py | py | 1,470 | python | en | code | 0 | github-code | 13 |
18697945245 | import clip
import torch
from PIL import Image
class ObjectDetector:
def __init__(self):
# Load the model
self.device = "cuda" if torch.cuda.is_available() else "cpu"
self.model, self.preprocess = clip.load('ViT-B/32', self.device)
def runDetect(self,filename,options = ["smoke dete... | ez314/Live-Safe-and-Save | backend/objectDetect.py | objectDetect.py | py | 1,180 | python | en | code | 2 | github-code | 13 |
2871922038 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from contextlib import contextmanager
import functools
import inspect
import threading
import numpy as np
from scipy import stats
import six
from . import log_probs as _log_probs
def make_log_joint_fn(model)... | google-research/autoconj | autoconj/pplham.py | pplham.py | py | 9,231 | python | en | code | 36 | github-code | 13 |
39580130106 | # -*- coding: utf-8 -*-
"""
Global configuration file for TG2-specific settings in turbogag.
This file complements development/deployment.ini.
Please note that **all the argument values are strings**. If you want to
convert them into boolean, for example, you should use the
:func:`paste.deploy.converters.asbool` func... | mengu/turbogag | turbogag/config/app_cfg.py | app_cfg.py | py | 3,285 | python | en | code | 8 | github-code | 13 |
23693546930 | from googlesearch import search,get_random_user_agent
import re,sys,time,os
r = '\033[031m'
g = '\033[032m'
b = '\033[036m'
y = '\033[033m'
n = '\033[00m'
class ghd(object):
settings = {
'count':20,
'sleep':2,
'mode':"all",
'dork': '',
'target': '',
'output' : "{dork}_%H%M%d%m.txt"
}
... | HanZawNyine/Special_Created | h4k3rTools/tool collect/ghd.py | ghd.py | py | 6,267 | python | en | code | 1 | github-code | 13 |
17047278044 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayUserPeerpayprodAgreementModifyModel(object):
def __init__(self):
self._alipay_related_uid = None
self._alipay_user_id = None
self._quota = None
self._request... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AlipayUserPeerpayprodAgreementModifyModel.py | AlipayUserPeerpayprodAgreementModifyModel.py | py | 2,571 | python | en | code | 241 | github-code | 13 |
43110440559 | #! /usr/bin/env python
import os
from math import pi
import pandas
from bokeh.io import curdoc
from bokeh import plotting as plt
from bokeh.layouts import column
from bokeh.models.tools import PanTool, WheelZoomTool, BoxZoomTool, CrosshairTool, HoverTool, ResetTool, SaveTool
column_names = [
'timestamp', 'date',... | Elindorath/finance | test-bokeh.py | test-bokeh.py | py | 2,968 | python | en | code | 0 | github-code | 13 |
36603704384 | # 드래곤커브
N = int(input())
grid = [[0 for _ in range(101)] for _ in range(101)] # 격자
dx, dy = [1,0,-1,0], [0,-1,0,1] # 0: x좌표 증가 1: y좌표 감소 2: x좌표 감소 3: y좌표 증가
endPoint = [0,0] # 회전 기준점의 x, y 좌표
def turn(sPoint,bPoint): # sPoint 회전 기준점, bPoint 회전 시키려는 점
sx, sy = sPoint[0], sPoint[1]
bx, by = bPoint[0], bPoint... | majung2/CTpractice | python/2020summer_study/boj_15685.py | boj_15685.py | py | 1,828 | python | en | code | 0 | github-code | 13 |
41017219670 | import sys, os
sys.path.append(os.getcwd())
from tornado import gen, ioloop, web
from lib.conf import KBConfig
from lib.log import KBLogger
from lib.store import Store
from lib.stm import STM
from lib.buffer import Buffer
from ui_handlers.admin.routing import adminRouting
from ui_handlers.front.routing import front... | alierkanimrek/rpui | src/server.py | server.py | py | 2,648 | python | en | code | 0 | github-code | 13 |
24698089880 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import logging
from logging.config import dictConfig
from dynaconf import LazySettings
# Configure Dynaconf
settings = LazySettings(
ENVVAR_PREFIX_FOR_DYNACONF="APP_{{ cookiecutter.app_name | upper }}",
ENVVAR_FOR_DYNACONF="APP_SETTINGS",
)
dictConf... | Lowess/cookiecutter-python-app | {{cookiecutter.app_name}}/app/__init__.py | __init__.py | py | 632 | python | en | code | 0 | github-code | 13 |
18127409792 | import numpy as np
from facerec.distance import AbstractDistance
from facerec.util import asColumnMatrix
class OSS(AbstractDistance):
"""This metric calculates the One-Shot Similarity (OSS) using LDA as the underlying classifier
OSS was originally described in the paper:
Lior Wolf, Tal ... | naveenmm/facerec | py/facerec/oss.py | oss.py | py | 1,594 | python | en | code | 0 | github-code | 13 |
2338298671 |
# Q program accepts n numbers from user add into list and return minimum and minimum number in list:
def minimum (List):
min = List[0]
for i in range(0, len(List), 1):
if min > List[i]:
min = List[i]
return min
def maximum(List):
max=List[0]
for i in range(0,len(List),... | mayurgore2023/Python | list5.py | list5.py | py | 839 | python | en | code | 0 | github-code | 13 |
4265040764 | import os
from invoke import task
from app.product.model import Product as ProductModel
from app.db import get_db, Base, engine
from wsgi import app
from app.config import source_path
from app.utils.reader import Reader
@task
def init_db(ctx):
print("Creating all resources.")
Base.metadata.create_all()
en... | linikerdev/sapo-products | tasks.py | tasks.py | py | 1,228 | python | en | code | 0 | github-code | 13 |
22188309012 | import pandas as pd
def get_course_title(course_code):
try:
return courses.get(course_code).get('title')
except:
print(course_code +
' doesn\'t exist. Please verify the entry or contact the developer.')
return 'TITLE NOT FOUND ERROR'
def get_course_credit(course_code):
... | jeandecian/polymtl-gpa-calculator | main.py | main.py | py | 4,038 | python | en | code | 0 | github-code | 13 |
23745230091 | class ExtratorArgumentosUrl:
url: str = None
def __init__(self, url):
if self.url_eh_valida(url):
self.url = url.lower()
else:
raise LookupError("Url invalida!")
def __len__(self):
return len(self.url)
def __str__(self):
moeda_origem, moeda_dest... | DAT-Alura/Formation_Python | String_manipulation/content/extrator_argumentos_url.py | extrator_argumentos_url.py | py | 2,253 | python | pt | code | 0 | github-code | 13 |
31078500963 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Advent of Code 2020 day 13 module."""
import math
def _earliest_time(bus, arrival):
return math.ceil(arrival / bus) * bus
def earliest(buses, arrival):
earliest_bus = None
earliest_time = None
for bus, _ in buses:
if bus is None:
... | pmrowla/aoc2020 | day13.py | day13.py | py | 1,776 | python | en | code | 0 | github-code | 13 |
4593672785 | class Solution:
"""
@param nums: A list of integers
@param k: An integer denote to find k non-overlapping subarrays
@return: An integer denote the sum of max k non-overlapping subarrays
"""
def maxSubArray(self, nums, k):
o = -sys.maxint
matrixLocal = [[o] * (k + 1) for i... | ultimate010/codes_and_notes | 43_maximum-subarray-iii/maximum-subarray-iii.py | maximum-subarray-iii.py | py | 1,606 | python | en | code | 0 | github-code | 13 |
32873653543 | import torch
import torchvision.transforms.functional as TF
import kornia.geometry.transform as K
import cv2
from torch.utils.data import Dataset
from pathlib import Path
import numpy as np
from superpoint.settings import DATA_PATH
import matplotlib.pyplot as plt
from torch.utils.data import DataLoader
class HPatches(... | AliYoussef97/SuperPoint-NeRF-Pytorch | superpoint/superpoint/data/HPatches.py | HPatches.py | py | 5,995 | python | en | code | 5 | github-code | 13 |
26702363144 | import argparse, boto3, json, logging, os, requests, time, yaml, zlib
from datetime import datetime
from multiprocessing.pool import ThreadPool
from config import *
def pull_subreddit(packed_item):
subreddit = packed_item[0]
item_type = packed_item[1]
item_count = 0
retry_count = 0
additional_ba... | r-cybersecurity/pushshift-to-s3 | main.py | main.py | py | 6,414 | python | en | code | 1 | github-code | 13 |
21308681889 | '''
This module contains helper functions for plotting rampedpyrox data.
'''
from __future__ import(
division,
print_function,
)
__docformat__ = 'restructuredtext en'
__all__ = ['_bd_plot_bge',
'_plot_dicts',
'_plot_dicts_iso',
'_rem_dup_leg',
]
import numpy as np
#define function to plot carbon fl... | FluvialSeds/rampedpyrox | build/lib/rampedpyrox/plotting_helper.py | plotting_helper.py | py | 7,021 | python | en | code | 4 | github-code | 13 |
3128938195 | from independent_set import MIS
from utilities import *
from vertex_covers import MVC
def experiment4():
num_nodes = 8
edge_ranges = range(1, 31, 4)
num_graphs = 1000
x_vals = []
mvc_avg_size, mis_avg_size, sum_size = [], [], []
for num_edges in edge_ranges:
mvc_total, mis_total = 0,... | MahboobMMonza/3XB3-Lab2 | experiment4.py | experiment4.py | py | 1,311 | python | en | code | 0 | github-code | 13 |
25523551348 | # run in the medimg conda environment
from pathlib import Path
import pickle
import SimpleITK as sitk
import numpy as np
import pandas as pd
import h5py
class GetPatches():
def __init__(
self,
bbox_file,
path_file,
side_file,
output_file,
spacing,
min_si... | LangDaniel/MAEMI | utils/generate_patches/image_patches.py | image_patches.py | py | 13,829 | python | en | code | 4 | github-code | 13 |
28133642295 | # 주차 요금 계산 https://programmers.co.kr/learn/courses/30/lessons/92341
from math import ceil
def solution(fees, records):
dic = {}
for rec in records:
print(dic)
time = int(rec[0:2])*60+int(rec[3:5])
carnum = int(rec[6:10])
# 처음 보는 차가 들어올 때
if carnum not in dic: dic[carnu... | yypark21/my_coding_test | level2_python/7.py | 7.py | py | 1,285 | python | en | code | 0 | github-code | 13 |
38362735628 | class Solution(object):
def convert(self, s, numRows):
"""
:type s: str
:type numRows: int
:rtype: str
"""
if numRows==1: return s
Mod_k = (numRows-1)*2
Rows = [[] for r in range(numRows)]
for i,c in enumerate(s):
for r in range(num... | rctzeng/AlgorithmDataStructuresPractice | Leetcode/ZigZagConversion_6.py | ZigZagConversion_6.py | py | 446 | python | en | code | 0 | github-code | 13 |
13092848920 | from typing import Optional, Any
import attr
from .initialize_from_attr import InitializeFromAttr
from .transform_common import (
IsTransformed,
IsPrototype,
GetDecoratedClass,
GetTransformedInstanceVars,
GetMemberType)
from .signal import ModelSignal, InterfaceSignal
def Initialize(
s... | JiveHelix/pex | python/pex/initializers.py | initializers.py | py | 2,133 | python | en | code | 0 | github-code | 13 |
10438364906 | # #START_LICENSE###########################################################
#
#
# This file is part of the Environment for Tree Exploration program
# (ETE). http://etetoolkit.org
#
# ETE is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the... | dongzhang0725/PhyloSuite | PhyloSuite/ete3/tools/ete_build_lib/task/prottest.py | prottest.py | py | 6,215 | python | en | code | 118 | github-code | 13 |
12812260216 | # This program performs sentimental analysis on movie reviews
# Importing libraries
import nltk
import nltk.classify.util
from nltk.classify.naivebayes import NaiveBayesClassifier
from nltk.corpus import movie_reviews
from nltk.corpus.reader import wordlist
# download the data
nltk.download("movie_reviews")
# def... | blacdev/Machine-learning-Nltk-Library- | nlp_demo.py | nlp_demo.py | py | 2,382 | python | en | code | 0 | github-code | 13 |
3022438493 | #!/usr/bin/python3
"""Defines a class Square"""
from models.rectangle import Rectangle
class Square(Rectangle):
""" Represents a square"""
def __init__(self, size, x=0, y=0, id=None):
"""Initializes a new Square
Args:
size (int): size of the new square
x (int): x coord... | JozeSIMAO/alx-higher_level_programming | 0x0C-python-almost_a_circle/models/square.py | square.py | py | 1,740 | python | en | code | 0 | github-code | 13 |
18875461221 | import torch
import torch.nn as nn
import torch.nn.init
import torchvision.models as models
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
import torch.backends.cudnn as cudnn
from torch.nn.utils.clip_grad import clip_grad_norm
import torch.nn.functional as ... | ramakanth-pasunuru/video_captioning_rl | models/seq2seq_atten.py | seq2seq_atten.py | py | 20,298 | python | en | code | 43 | github-code | 13 |
278579122 | from django.shortcuts import render
from django.http import HttpResponse
from .models import Line
from django.template import loader, Context
def add(request):
if request.method == 'GET':
context = {'状态': 'GET方法不允许提交'}
return render(request,'line_add.html', context=context)
else:
name =... | ApostleMelody/Django | Test1/DB_manager/views.py | views.py | py | 2,264 | python | en | code | 0 | github-code | 13 |
38622958265 | #coding: utf-8
__autor__ = 'Cleber Augusto Dias Da Silva'
#Números Primos
print('Descubra se um número é primo!!')
n = int(input('Digte o número que deseja saber:\n'))
l = [2,3,5,7,9,11]
b = 0
for idx,item in enumerate(l):
x = n%l[idx]
if x == 0:
b += 1
if b == 0 :
print('é primo')
if b > 0:
... | CleberSilva93/Study-Exercicios-Python | Exercicio_PythonBrasil/EstruturadeRepetição/ex21.py | ex21.py | py | 350 | python | pt | code | 0 | github-code | 13 |
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