seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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72322916513 | # -*- coding:utf-8 -*-
from __future__ import print_function
import numpy
import theano.tensor as T
import cv2
import cPickle
numpy.random.seed(1337) # for reproducibility
from PIL import Image
from keras.models import Sequential
from keras.layers import Input, Dense, Dropout, LSTM
from keras.layers.convolutional i... | jsxxj/RBF_DCNN | MCNN/LSTM.py | LSTM.py | py | 3,202 | python | en | code | 0 | github-code | 1 |
28653936566 | """
uniquePath1
A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below).
The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked 'Finish' in the diagram below).
How many possible unique paths ar... | drmenghan/PyS | LeetCode/Unique Paths.py | Unique Paths.py | py | 4,076 | python | en | code | 1 | github-code | 1 |
74692201954 | #!/usr/bin/env python3
#
# CLIMPORN
#
# Prepare 2D maps (monthly) that will later become a movie!
# NEMO output and observations needed
#
# L. Brodeau, January 2019
#
import sys
import glob
#import argparse as ap
import numpy as nmp
from PIL import Image
#
# ClimPorn:
from climporn.utils import chck4f
import... | brodeau/climporn | python/scripts/mk_image_montage_agrif.py | mk_image_montage_agrif.py | py | 3,867 | python | en | code | 6 | github-code | 1 |
30767921487 | # -*- coding: utf-8 -*-
from django.template import RequestContext
from django.http import HttpResponseRedirect
from django.contrib.auth import logout
from django.http import HttpResponse, Http404
#from django.template import Context
#from django.template.loader import get_template
from django.contrib.auth.models impo... | meoooh/Bookmarks | bookmarks/views.py | views.py | py | 9,930 | python | en | code | 0 | github-code | 1 |
31129070227 | #!/usr/bin/env python
"""dec05-1.py: Solution to Advent of Code December 5th, part 1
"""
def read_input(filename: str) -> list:
input_list = list()
try:
with open(filename) as f:
for line in f.readlines():
input_list.append(line)
except FileNotFoundError:
print... | kyleburnette/adventofcode2020 | solutions/dec05/dec05-1.py | dec05-1.py | py | 1,131 | python | en | code | 0 | github-code | 1 |
18323604988 | import aiohttp
import urllib.parse as urlparse
from typing import Optional
from middleware.config import Settings
from middleware.exception import MiddlewareException
from middleware.external.base.application import Application as BaseApplication
class Application(BaseApplication):
@staticmethod
async def _g... | chyaoyuan/data-sync-cdc | middleware/external/schema/application.py | application.py | py | 1,365 | python | en | code | 0 | github-code | 1 |
72263561954 | """create auth tables
Revision ID: 6e0daa4be1f8
Revises: cb42b1c187d9
Create Date: 2019-09-26 09:17:12.642904
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '6e0daa4be1f8'
down_revision = 'cb42b1c187d9'
branch_labels = None
depends_on = None
def upgrade():
... | best-doctor/its_on | db/migrations/versions/6e0daa4be1f8_create_auth_tables.py | 6e0daa4be1f8_create_auth_tables.py | py | 1,439 | python | en | code | 14 | github-code | 1 |
20146515848 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
# ... | henrylu518/LeetCode | Convert Sorted List to Binary Search Tree.py | Convert Sorted List to Binary Search Tree.py | py | 964 | python | en | code | 0 | github-code | 1 |
42169327955 | #! /usr/bin/env python3
import os
import requests
#List all the files in /supplier-data/descriptions
for root, dirs, files in os.walk("./supplier-data/descriptions"):
#Loop through the list of description files of fruits
for file_name in files:
with open(os.path.join(root,file_name)) as file:
... | peterncs/fruit | run.py | run.py | py | 927 | python | en | code | 0 | github-code | 1 |
10565279224 | import pandas as pd
import numpy as np
import tensorflow as tf
from datetime import datetime
import statistics
# connect to db
import pymysql
import sqlalchemy
from sqlalchemy import create_engine
# misc
import random as rn
from sklearn.model_selection import train_test_split
#pipeline
from sklearn.preprocessing impor... | HBNU-SWUNIV/COME-CAPSTONE22-dashboard | 003 Code/autoEncoder/AE.py | AE.py | py | 7,821 | python | en | code | 0 | github-code | 1 |
6484667503 | """
@Time : 2021/1/28 10:41
@Author : Steven Chen
@File : main.py
@Software: PyCharm
"""
# 目标：
# 方法：
# 1、导入managerSystem模块
from manageSystem import *
# 2.启动学员管理系统
if __name__ == '__main__':
student_manager = StudentManager()
student_manager.run()
| PandaCoding2020/pythonProject | Python_OOP/7案例：面向对象版学习系统/StudentManageSystem/main.py | main.py | py | 296 | python | zh | code | 0 | github-code | 1 |
7460166493 | import sys
sys.stdin = open("algo2_sample_in.txt")
def get_box_sum(m):
if N < 3:
box_sum = [0]
return box_sum
else:
center_lst = []
for i in range(2, N):
for j in range(2, N):
center_lst.append([i, j])
box_sum = 0
box_sum_lst = []
... | coolihans/TIL | Algorithms/과목평가1/Algo2_서울_5반_안현모.py | Algo2_서울_5반_안현모.py | py | 1,474 | python | en | code | 0 | github-code | 1 |
42615496732 | """Class to define the properties of a climate zone"""
from .const import ADVANCED, MODE_AUTO, MODE_MANUAL
class Zone():
"""Class to define the properties of a climate zone"""
# pylint: disable=too-many-instance-attributes
def __init__(self, name: str) -> None:
self.name = name
self.tem... | funtastix/pyrinnaitouch | pyrinnaitouch/zone.py | zone.py | py | 1,435 | python | en | code | 4 | github-code | 1 |
30951274678 | """Main module."""
import os
from datetime import datetime
import numpy as np
from scipy.optimize import least_squares
import click
import matplotlib.pyplot as plt
from geometric_calibration.reader import (
read_img_label_file,
read_projection_hnc,
read_projection_raw,
)
from geometric_calibration.utils ... | mrossi93/geometric_calibration | geometric_calibration/geometric_calibration.py | geometric_calibration.py | py | 18,359 | python | en | code | 4 | github-code | 1 |
37897987245 | from flask import Flask
from flask import request
import urllib.request
import re
from requests_html import HTMLSession
app = Flask(__name__)
#Makes all responses plaintext
@app.after_request
def treat_as_plain_text(response):
response.headers["content-type"] = "text/plain"
return response
@app.route('/')
de... | ThatOneCamel/boxdScrape | _oldVersion/app.py | app.py | py | 1,380 | python | en | code | 1 | github-code | 1 |
15578279834 | # ================================================================================
# This script instantiates the llm object with the relevant parameters
# ================================================================================
from langchain.llms import CTransformers
# Local CTransformers wrapper for Llama-2... | DeveshParagiri/sage | llm.py | llm.py | py | 521 | python | en | code | 1 | github-code | 1 |
32394088452 | import csv
from face import Face
data = csv.DictReader(open("fer2013/fer2013.csv"))
faces_train = []
faces_val = []
faces_test = []
for row in data:
if row.get("Usage") == "Training":
faces_train += [Face(row)]
elif row.get("Usage") == "PublicTest":
faces_val += [Face(row)]
elif row.get("U... | eshawang/Facial-Expression-Analysis | format_data.py | format_data.py | py | 439 | python | en | code | 1 | github-code | 1 |
74429573154 | #!/usr/bin/env python
import os, argparse, time
import utils
from keras.models import Sequential
from keras.layers import Dense, Activation, Dropout
from keras.layers import LSTM
from keras.callbacks import ModelCheckpoint, ReduceLROnPlateau, TensorBoard
from keras.optimizers import SGD, RMSprop, Adagrad, Adadelta, Ada... | brannondorsey/midi-rnn | train.py | train.py | py | 10,546 | python | en | code | 154 | github-code | 1 |
72307539555 | from sklearn.preprocessing import normalize
from sklearn.neighbors import NearestNeighbors
from tqdm import tqdm
import os
import pickle
from datetime import datetime
if not os.path.exists("saves/crude_embeddings.pkl"):
raise ValueError("Please run --process first to generate embeddings")
else:
with open("save... | finned-tech/MEIP | model/train.py | train.py | py | 1,936 | python | en | code | 0 | github-code | 1 |
31920261178 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 4 14:59:16 2020
@author: Eric Chen, Graduate Center, City University of New York
@contact: eric.clyang521@gmail.com
"""
import os
os.chdir("/Users/eric/Desktop/paper_figure/solvation_free_energy/Tip3p_bulk")
import numpy as np
from gridData im... | EricChen521/small_mol_project_script | bulk_TSsix.py | bulk_TSsix.py | py | 1,109 | python | en | code | 0 | github-code | 1 |
37798492039 | import pathlib
import numpy as np
import pytest
import meshio
from . import helpers
@pytest.mark.parametrize(
"mesh",
[
helpers.empty_mesh,
helpers.tet_mesh,
helpers.hex_mesh,
helpers.tet_mesh,
helpers.add_cell_sets(helpers.tet_mesh),
],
)
@pytest.mark.parametriz... | nschloe/meshio | tests/test_flac3d.py | test_flac3d.py | py | 1,540 | python | en | code | 1,691 | github-code | 1 |
29001110749 | import pygame
class playerProjectiles(pygame.sprite.Sprite):
def __init__(self, x):
super().__init__()
self.entity = pygame.image.load("../assets/playerbullet.png").convert_alpha()
self.rect = self.entity.get_rect()
self.rect = self.rect.move(x.rect.left+29, x.rect.top-50)
s... | wiltley/SpaceInvadersPyGame | scripts/bullet.py | bullet.py | py | 1,196 | python | en | code | 0 | github-code | 1 |
20782775994 | import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from .utils import download_file_from_gdrive
# mapping network
#################
def pixel_norm(x, epsilon=1e-8):
return x * torch.rsqrt(torch.mean(torch.pow(x, 2), dim=1, keepdim=True) + epsilon)
class MappingNetwo... | tanelp/neural-obfuscator | neural_obfuscator/stylegan.py | stylegan.py | py | 12,295 | python | en | code | 2 | github-code | 1 |
71223092515 | # coding=utf-8
# 字典合并
l_p = {"python": 'py', 'c++':'cpp'}
l_j = {'java': 'java', 'golang': 'go'}
l_t = l_p | l_j
# print(l_t)
# 解包合并
t = {**l_p, **l_j}
# print(t)
# 字典生成式
m_keys = ['py', 'c', 'go']
m_values = ['python', 'c', 'golang']
d = {key: value for key, value in zip(m_keys, m_values)}
# print(d)
# k,v互换
d... | FYPYTHON/PathOfStudy | python/笔记/字典操作.py | 字典操作.py | py | 625 | python | en | code | 0 | github-code | 1 |
29920536522 | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton, QStackedWidget, QToolButton, QComboBox, \
QTableWidget, QTableWidgetItem, QLabel
from PyQt5.uic import loadUi
from fileDirectory import FileDirectory
class Ui(QMainWindow):
def __init__(self):
supe... | lalocho/software2 | src/PICK.py | PICK.py | py | 9,213 | python | en | code | 0 | github-code | 1 |
74227210594 | import uos as os
import lcd160cr
import lcd160cr_test
import pyb
import utime as time
import widgets
from colors import *
from utils import restore_framebuffer
try:
lcd = lcd160cr.LCD160CR('XY')
except OSError:
# I might have plugged in into the other side
lcd = lcd160cr.LCD160CR('YX')
lcd.set_pen(WHITE, ... | fragmuffin/howto-micropython | examples/lcd-demo/main.py | main.py | py | 3,425 | python | en | code | 2 | github-code | 1 |
6993276560 | import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
T = 200
h = 1e-2
t = np.arange(start=0, stop=T + h, step=h)
bet, gam = 0.15, 1 / 50
# todo: zmienic poziej na randoma
# S_pocz = np.random.uniform(0.7, 1)
S_start = 0.8
I_start = 1 - S_start
R_start = 0
N = S_start + I_start + R_sta... | Ukasz09/Machine-learning | SIR_Model_Spread_of_Disease/SIR.py | SIR.py | py | 4,130 | python | en | code | 1 | github-code | 1 |
30826854011 | from http import HTTPStatus
from typing import Dict
from aiohttp import web
from aiohttp.web import Request, Response, json_response
from botbuilder.core import (
BotFrameworkAdapterSettings,
ConversationState,
MemoryStorage,
UserState,
)
from botbuilder.core.integration import aiohttp_error_middleware... | Sako74/p10 | P10_03_chatbot/webapp/app.py | app.py | py | 4,282 | python | en | code | 0 | github-code | 1 |
26777282377 | import math
import torch
import numpy as np
from torch import autograd, optim
from torch.distributions.multivariate_normal import MultivariateNormal
import scipy.optimize
from tqdm import tqdm
def get_schedule(num, rad=4):
if num == 1:
return np.array([0.0, 1.0])
t = np.linspace(-rad, rad, num)
s ... | Lucas-Florin/dais_np | src/neural_process/dais.py | dais.py | py | 4,698 | python | en | code | 0 | github-code | 1 |
28921295761 |
import pandas as pd
import random as rd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.cm as cm
import pickle
import random
import math
class neuron:
def __init__(self,weights):
self.weights = weights
self.outputneuron=None
self.s=... | MeryemEssalmi/Adaptive-Neural-Network-from-scrach | Neural Network code.py | Neural Network code.py | py | 11,523 | python | en | code | 0 | github-code | 1 |
23574390738 | #CRIANDO FUNÇÕES
def decorar():
print(15*'-')
print('MENU')
print(15*'-')
def enfeitarNome(texto):
print(15*'-')
print(texto)
print(15*'-')
def teste():
return 'meu erro'
def calcularIMC(altura, peso):
imc = peso/(altura**2)
return imc
print(enfeitarNome(calcularIMC(2,99)))
som... | renegadelhaedu/alg20231 | code41.py | code41.py | py | 543 | python | pt | code | 1 | github-code | 1 |
1538771716 | import logging
import numpy as np
from src.MiniProjects.Maze.Maze import Maze
__author__ = 'frank.ma'
logger = logging.getLogger(__name__)
class MazeSolver(object):
MOVES = dict(N=(-1, 0), W=(0, 1), S=(1, 0), E=(0, -1))
found_solution = False
def __init__(self,
maze: Maze):
s... | frankma/Finance | src/MiniProjects/Maze/MazeSolver.py | MazeSolver.py | py | 1,299 | python | en | code | 0 | github-code | 1 |
27400999130 | from __future__ import annotations
import itertools
from abc import ABC, abstractmethod
from collections import defaultdict
from collections.abc import Iterable, Iterator
from dataclasses import dataclass, field
from typing import cast
from cognite.client.data_classes import data_modeling as dm
from cognite.client.da... | cognitedata/pygen | cognite/pygen/_core/data_classes.py | data_classes.py | py | 31,015 | python | en | code | 2 | github-code | 1 |
22448311010 | import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from app import app
from apps import app_individual, app_aggregate
app.layout = html.Div([
dcc.Location(id='url', refresh=False),
html.Div(id='page-content')
])
index_page = html.Div([
dcc.... | saeed349/Microservices-Based-Algorithmic-Trading-System-V-2.0 | Storage/dash/index.py | index.py | py | 901 | python | en | code | 38 | github-code | 1 |
4247894925 | from datetime import timedelta
from airflow import DAG
from airflow.models import Param
from airflow.operators.dummy_operator import DummyOperator
from common.operators.gce import (
StartGCEOperator,
StopGCEOperator,
CloneRepositoryGCEOperator,
SSHGCEOperator,
)
from common.utils import get_airflow_sch... | pass-culture/data-gcp | orchestration/dags/jobs/ml/algo_training_qpi.py | algo_training_qpi.py | py | 9,855 | python | en | code | 2 | github-code | 1 |
10821283659 | import argparse
import torch
import torch.nn as nn
from torch.utils import data
import numpy as np
from torch.autograd import Variable
import torch.optim as optim
import torch.backends.cudnn as cudnn
import os
import os.path as osp
from multiframe3_CoAttentionSTN import FtoFAttentionModel
import scipy.io as sio
from Po... | sa867/CoAttentionSTN | train_CoAttentionSTN_temporal.py | train_CoAttentionSTN_temporal.py | py | 17,381 | python | en | code | 1 | github-code | 1 |
892004178 | import sqlite3
import csv
get_sql = """
DELETE
FROM 'table_fees'
WHERE truck_number = ? AND timestamp = ?
"""
def delete_wrong_fees(cursor: sqlite3.Cursor, wrong_fees_file: str) -> None:
with open(f'../{wrong_fees_file}') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',')
for ... | BogdanNos/PythonNosinovskiy | mod13/task2/task2.py | task2.py | py | 553 | python | en | code | 0 | github-code | 1 |
6377740088 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ***************************************************************************
# Copyright (c) 2018 西安交通大学
# All rights reserved
#
# 文件名称：Mayavi_test.py
#
# 摘 要：数据可视化mayavi库测试文件
#
# 创 建 者：上官栋栋
#
# 创建日期：2018年11月9日
#
# 修改记录
# 日期 修改者 版本 修改内容
# --... | sgdd66/Optimization-under-Constraint | Mayavi_test.py | Mayavi_test.py | py | 18,371 | python | en | code | 0 | github-code | 1 |
30407259914 | from fastapi import FastAPI
from controllers.routes import router
from services.services import download_and_load_data, download_and_load, clear_db_data
from apscheduler.schedulers.background import BackgroundScheduler
def poll_and_load_datasets_again():
clear_db_data()
download_and_load_data()
app = FastAP... | A-G-U-P-T-A/LoopApi | main.py | main.py | py | 684 | python | en | code | 0 | github-code | 1 |
74579624992 | """empty message
Revision ID: 88f77742bc2d
Revises:
Create Date: 2017-07-03 13:15:12.714598
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '88f77742bc2d'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | cokifigue/validateMe | migrations/versions/88f77742bc2d_.py | 88f77742bc2d_.py | py | 852 | python | en | code | 3 | github-code | 1 |
40091316327 | import torchvision
from torchvision import transforms
from torch.utils import data
def load_data_fashion_mnist(batch_size, resize=None, workers=4):
"""
自动下载FashionMNIST数据集，并返回数据加载器
"""
trans = [transforms.ToTensor()]
if resize:
trans.insert(0, transforms.Resize(resize))
trans = tran... | huangluyao/simple_network | simple_network/dataset/load_data.py | load_data.py | py | 1,177 | python | en | code | 0 | github-code | 1 |
11737051293 | from flask import jsonify, render_template
from app.device import bp, device
from app.models import DeviceModel, Project
@bp.route('/devices', methods=['GET', 'POST'])
def devices():
connected = device.get_devices()
registered = DeviceModel.query.all()
return render_template('device/devices.html', title='... | johndoe-dev/Ecodroid | app/device/routes.py | routes.py | py | 660 | python | en | code | 0 | github-code | 1 |
19719572491 | #!/usr/bin/env python3
import sys
sys.path.append('../../python')
from deviceManager import *
import unittest
class TestGetDevice(unittest.TestCase):
#====== process_device ========
def test_parse_happy_case(self):
test_input = ["13021FDD4005XC device", "emulator-5554 offline"]
expected = [{'... | qbalsdon/talos | python/tests/deviceManager_Test.py | deviceManager_Test.py | py | 5,422 | python | en | code | 4 | github-code | 1 |
37182985066 | from utilities import *
all_subdirs = os.listdir()
for subdir_name in all_subdirs:
if not os.path.isdir(subdir_name) or "Vehicle" not in subdir_name:
continue
all_files = os.listdir(subdir_name + "/cleaned_csv/")
bad_rides_filenames = set()
if os.path.isfile(subdir_name + "/bad_ride... | LucijaZuzic/OtoTrak-Data-Test | time_gap.py | time_gap.py | py | 1,480 | python | en | code | 0 | github-code | 1 |
9430911528 | t=int(input())
while t != 0:
nums = list(map(int, input().split(" ")))
l = min(nums)
r = max(nums)
for i in nums:
if i not in (l,r):
print(i)
t-=1 | NicholasTing/Competitive_Programming | CodeForces_830-835/CodeForces_835/a.py | a.py | py | 209 | python | en | code | 1 | github-code | 1 |
23048697587 | import torch
from torchvision import transforms as T
from torch.optim.lr_scheduler import ExponentialLR
from PIL import Image
import os
from tqdm import tqdm
from dalle2_pytorch import DALLE2, DiffusionPriorNetwork, DiffusionPrior, Unet, Decoder, OpenAIClipAdapter, DiffusionPriorTrainer, DecoderTrainer
from dall... | goldiusleonard/Dalle2_pytorch_project | train_dalle2_from_csv.py | train_dalle2_from_csv.py | py | 7,138 | python | en | code | 4 | github-code | 1 |
70483337633 | import random
from zope import lifecycleevent, event
from zope.component import getUtility
from Products.CMFCore.utils import getToolByName
from Products.Five import BrowserView
from kss.core import force_unicode
from plone.app.kss.plonekssview import PloneKSSView
from archetypes.kss.fields import FieldsView
from ... | austgl/everydo-project | zopen.plone.chat/src/zopen/plone/chat/browser/kssview.py | kssview.py | py | 1,830 | python | en | code | 0 | github-code | 1 |
21155338475 | import numpy as np
import pandas as pd
from preprocess import data_preprocessed as dt
year_data=[dt.loc[dt.YEAR==i,:] for i in range(1979,2016)]
max_table=pd.DataFrame(index=list(range(1979,2016)),columns=['max','max^2'])
for i in range(37):
max_table.iloc[i,0]=year_data[i].max()['HS']
max_table.iloc[i,1]=max... | WaicongTam/Graduation-Thesis | source code/prediction.py | prediction.py | py | 644 | python | en | code | 0 | github-code | 1 |
27090158967 | import heapq
N, K = map(int, input().split())
A, B = [0]*N, [0]*N
timesUsed = [0 for _ in range(N)]
for i in range(N):
a, b = map(int, input().split())
A[i], B[i] = a, b
priorityQueue = [(A[i], i) for i in range(N)]
heapq.heapify(priorityQueue)
# print(priorityQueue)
ans = 0
for i in range(K):
machineN... | Intel-out-side/AtCoder | practice/CodeThanksFestival2017_d.py | CodeThanksFestival2017_d.py | py | 569 | python | en | code | 0 | github-code | 1 |
35913592991 | # Manasa and Stones
# Calculate the possible values of the last stone where consecutive values on the stones differ by a value 'a' or a value 'b'.
#
# https://www.hackerrank.com/challenges/manasa-and-stones/problem
#
def stones(n, a, b):
# si a==b une seule valeur possible
if a == b:
return [(n - 1) * ... | rene-d/hackerrank | algorithms/implementation/manasa-and-stones.py | manasa-and-stones.py | py | 752 | python | en | code | 72 | github-code | 1 |
25191930876 | from pytablewriter import MarkdownTableWriter
def readCustomVCF(fname, keep_cols):
data = []
with open(fname, 'r') as vcf:
for line in vcf:
# skip the header specification part
if line.startswith('##'):
continue
# get the header line but only keep the... | W-L/ProblematicSites_SARS-CoV2 | src/vcf2markdown.py | vcf2markdown.py | py | 2,381 | python | en | code | 45 | github-code | 1 |
6421783280 |
import datetime
from flask import jsonify, request, Blueprint
from flask_jwt import jwt_required, current_identity
from flasgger.utils import swag_from
from app.utils.utils import serialize, get_flag_by_id
from app.utils.validate_redflag import Validate_redflag
from app.models.redflag import Redflag
from database.inci... | PatrickMugayaJoel/IReporter-Api | app/views/redflags.py | redflags.py | py | 8,161 | python | en | code | 0 | github-code | 1 |
17555510361 | '''Functions for reading ERA5 parameter table info saved in csv format.
Author: guangzhi XU (xugzhi1987@gmail.com)
Update time: 2021-04-09 11:13:20.
'''
from __future__ import print_function
import os
import glob
import csv
TABLE_FOLDER=os.path.abspath(os.path.join(os.path.abspath(__file__), '../tables/'))
def rea... | Xunius/era5-dl | era5dl/util_read_param_table.py | util_read_param_table.py | py | 3,880 | python | en | code | 2 | github-code | 1 |
14147831907 | #!/usr/bin/python3
# #####素数的方法一
'''
方法一使用传统的while循环来实现素数的查找
'''
def showMaxFactor(num):
count=num//2
while count>1:
if num % count==0:
print('%d的最大约数是%d' % (num,count))
break
count -=1
else:
print('%d是素数！' % num)
num=int(input('请输入一个数：'))
showMaxFactor(num)
... | jackiesir/test | 1.py | 1.py | py | 625 | python | zh | code | 0 | github-code | 1 |
3495862385 | import random
from core.dice import Dice
from math import sqrt
class Board:
@staticmethod
def create_from_dice(dice: Dice):
dice_list = dice.value
shuffled_dice = random.sample(dice_list, len(dice_list))
letters = []
for die_faces in shuffled_dice:
let... | cpurules/alphabet-soup | alphabet-soup/core/board.py | board.py | py | 5,170 | python | en | code | 0 | github-code | 1 |
1706775488 | from tkinter import *
from enum import Enum
## WFrame 창의 처음 위치를 나타내는 열거형
class StartPosition(Enum):
default = 0
centerScreen = 1
centerParent = 2
manual = 3
## Windows Forms를 토대로 작성한 Frame
#
# http://effbot.org/tkinterbook/
class WFrame(Frame):
## 제목 표시줄에 표시할 제목
# @var string
t... | sunghwan2789/EnglishTypingPractice | wframe.py | wframe.py | py | 3,692 | python | ko | code | 1 | github-code | 1 |
26275998182 | import json
from http.server import HTTPServer, BaseHTTPRequestHandler
from multiprocessing import active_children, Process
'''
大致原理，程序启动后，会在本地开启一个http服务。Tkinter布局助手上，点击预览后，将拖拽界面的布局转为python代码，
通过网络请求，发送到本服务，服务端接收到代码，使用exec函数执行代码。
因为exec函数，有一定危险性，如果你使用的是fork的项目，请自行检查代码后再执行。官方下载地址如下。
官方地址：https://www.pytk.net/tkinter-... | iamxcd/tkinter-helper | preview/preview-1.0.0.py | preview-1.0.0.py | py | 1,855 | python | en | code | 408 | github-code | 1 |
20486209047 | guests = ["Peter", "Cathy", "Leon"]
for guest in guests:
print(f"Hello, {guest}! You are invited to a dinner party.")
print(f"We have room for more guests at the dinner party.")
# Add guest to beginning of list
guests.insert(0, "Ella")
# Add guest to middle of list using floor divide // to get an int index
mid... | pnvnd/python-courses | Python Crash Course 2e/03/3-6_more-guests.py | 3-6_more-guests.py | py | 512 | python | en | code | 0 | github-code | 1 |
71975828513 | #!/usr/bin/env python3
import time
from pyftdi.spi import SpiController
from pycrc.algorithms import Crc
# ---------------------------------------------------------------------------
# DSI utilities
# ---------------------------------------------------------------------------
EOTP = [ 0x08, 0x0f, 0x0f, 0x01 ]
DSI... | esden/icebreaker-temp | nano-pmod-up5k/control.py | control.py | py | 4,883 | python | en | code | 3 | github-code | 1 |
22452873346 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import tree, ensemble
from sklearn.model_selection import cross_val_score
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import KFold
from sklearn.tree import plot_tree
from sklearn.model_selection import t... | ken-100/edX | MachineLearning/HW01_DecisionTree_Cross-Validation.py | HW01_DecisionTree_Cross-Validation.py | py | 6,116 | python | en | code | 0 | github-code | 1 |
17736076609 | # given a list of integers return the minimum
# integer missing from the list
def solution(a):
# you could use the original list
# my reasoning for creating set out
# of the original list was to make the
# search for the elements faster as a
# set does not contain duplicates
# for example give... | E-G-C/challeges | min_integer_in_array.py | min_integer_in_array.py | py | 946 | python | en | code | 0 | github-code | 1 |
38918987427 | from django.shortcuts import render , redirect
from django.contrib.auth import login
from django.contrib.auth.forms import UserCreationForm
def register(request):
#регаем нового юзверя
if request.method != 'POST':
#вывод пустой формы реги
form=UserCreationForm()
else:
#Обр... | Master-sniffer/Learning-PYTHON- | Book_1/Django/Scripts/users/views.py | views.py | py | 973 | python | ru | code | 1 | github-code | 1 |
31929396338 | # Standalone 1.5D distributed SpMM implementation
# Largely borrowed from CAGNET
import argparse
import math
import os
import time
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from sparse_coo_tensor_cpp import spmm_gpu
comp_time = dict()
comm_time = dict()
bcast_comm_time = dict(... | alokpathy/spmm | nccl_ex.py | nccl_ex.py | py | 9,877 | python | en | code | 1 | github-code | 1 |
26390497940 | from django.db import models
from django.utils.translation import gettext_lazy as _
class QuestionType(models.TextChoices):
NUMERIC = 'NUMERIC', _('Numeric')
TEXT = 'TEXT', _('Text')
DROPDOWN = 'DROPDOWN', _('Dropdown')
CHECKBOX = 'CHECKBOX', _('Checkbox')
RADIO_BUTTON = 'RADIO_BUTTON', _('RadioBut... | mehedi-shafi/simple-survey | api/survey/enums.py | enums.py | py | 495 | python | en | code | 0 | github-code | 1 |
35253854263 | import pymongo
import yfinance as yf
from pymongo import collection
from .stock_price import get_stock_price
import os
CLIENT = pymongo.MongoClient("mongodb+srv://App:ZU5u0b56vYc7xY15@stockopositions.r5bip.mongodb.net/StockoPositions?retryWrites=true&w=majority")
DB = CLIENT.test
USER_COLLECTION = DB.get_collection('d... | Asetka/Stocko | backend_api/backend_processing/db_wrapper.py | db_wrapper.py | py | 6,000 | python | en | code | 0 | github-code | 1 |
27516911233 | # -*- coding:UTF-8 -*-
def get_auth_url():
weibo_auth_url = 'https://api.weibo.com/oauth2/authorize'
redirect_url = 'http://127.0.0.1:8000/complete/weibo/'
auth_url = weibo_auth_url+'?client_id={client_id}&redirect_uri={re_url}'.format(client_id=2113796513,re_url=redirect_url)
print(auth_url)
def ge... | yuansuixin/Django | apps/utils/weibo_login.py | weibo_login.py | py | 1,282 | python | en | code | 1 | github-code | 1 |
32174735176 | import os
import io
import base64
import os.path
from zipfile import ZipFile
from odoo import api, fields, models
from odoo.tools.safe_eval import safe_eval
class ExportNfe(models.TransientModel):
_name = 'wizard.export.nfe'
_description = "Exporta NF-e"
start_date = fields.Date(string="Data Inicial", re... | Trust-Code/odoo-brasil | l10n_br_eletronic_document/wizard/export_nfe.py | export_nfe.py | py | 4,275 | python | en | code | 178 | github-code | 1 |
38914409041 | # python dictonary file
from difflib import get_close_matches
from json import load
#import tkinter as tk
from tkinter import *
# loading dictionary to memory
file = open('data.json', 'r')
data = load(file)
file.close()
# fuction declaration
def translate():
output.delete(0, END)
w = entry_key.get()
w ... | rinkeshsante/ExperimentsBackup | Python Project Dictionary/app_GUI.py | app_GUI.py | py | 1,797 | python | en | code | 0 | github-code | 1 |
409246010 | from __future__ import absolute_import
from .pybcp47 import Bcp47LanguageParser
from transitfeed import problems as problems_class
from transitfeed import util
parser = Bcp47LanguageParser()
def IsValidLanguageCode(lang):
"""
Checks the validity of a language code value:
- checks whether the code, as lower ca... | google/transitfeed | extensions/googletransit/extension_util.py | extension_util.py | py | 1,697 | python | en | code | 670 | github-code | 1 |
18815073444 | N = 14
hats = [0, 1, 2, 2, 3, 4, 5, 6, 6, 6, 6, 6, 6, 6]
#Replace the above code with your test cases
liar=0
for i in range(2,N-1):
if(hats[0]!=0):
liar=1
elif(hats[1]!=1):
liar=2
else:
if(hats[i]+1!=hats[i+1] and hats[i]!=hats[i+1]):
liar=i+1
if(liar==0):
for x in range(len... | LumpBloom7/MCC-2017-Answers | MCC2017Q5/main.py | main.py | py | 403 | python | en | code | 0 | github-code | 1 |
20192619756 | import pprint
from urllib import request
import requests
import pandas as pd
from _kluce import *
movie_id = 551
api_version = 3
api_base_url = f"https://api.themoviedb.org/{api_version}"
endpoint_path = f"/search/movie"
search_query = "Matrix"
endpoint = f"{api_base_url}{endpoint_path}?api_key={api_key}&query={sear... | eavf/30-days | Day132/connect.py | connect.py | py | 1,293 | python | en | code | 0 | github-code | 1 |
19444944835 | """The core module of this code base.
Includes the agent, environment, and experiment APIs.
"""
import logging
import sys
import time
from abc import ABCMeta, abstractmethod
import numpy as np
LOGGER = logging.getLogger('experiment')
LOGGER.setLevel(logging.DEBUG)
class Agent(metaclass=ABCMeta):
"""An abstr... | christopher-wolff-zz/lab-old | lab/core.py | core.py | py | 9,902 | python | en | code | 0 | github-code | 1 |
17847187153 | # -*- test-case-name: xquotient.test.historic.test_composer5to6 -*-
"""
Create stub database for upgrade of L{xquotient.compose.Composer} from version 5
to version 6.
"""
from axiom.test.historic.stubloader import saveStub
from axiom.dependency import installOn
from axiom.userbase import LoginMethod
from xquotient.c... | rcarmo/divmod.org | Quotient/xquotient/test/historic/stub_composer5to6.py | stub_composer5to6.py | py | 711 | python | en | code | 10 | github-code | 1 |
29674277875 | import json
from astar.astar import Astar
from roblib.map import Map
import numpy as np
from roblib.datastructures import MoveCommand
from roblib.datastructures import Coordinate
from filetransfer import Filetransfer
# Path JSON
_PATH_LOCAL = "./path.json"
_PATH_REMOTE = "/home/nao/.local/share/PackageManager/apps/Flo... | tschibu/hslu-roblab-floorguide | planner.py | planner.py | py | 4,098 | python | en | code | 0 | github-code | 1 |
5579649281 | import keyboard
from time import time
from communication.bt_server import BT_Server
from communication.KEYBOARD_CONFIG import KEYBOARD_CONFIG_DICT, DEBOUNCE_INTERVAL
from communication.BT_CONFIG import BT_CONTROLLER_DICT
def graceful_exit(func):
def wrapper(*args, **kw_args):
try:
return func... | ankitasharma1/swarmbots | raft/controller.py | controller.py | py | 3,093 | python | en | code | 0 | github-code | 1 |
73206785314 | """Support for HomeSeer light-type devices."""
import asyncio
import logging
from typing import Any
from homeassistant.components.light import (
ToggleEntity, LightEntity
)
from homeassistant.const import (
CONF_NAME, STATE_ON, STATE_OFF
)
from .command import (turn_off, turn_light_up)
_LOGGER = logging.getL... | ettingshausen/hass-micoe-bath-heater | custom_components/micoe_bath_light/light.py | light.py | py | 1,252 | python | en | code | 0 | github-code | 1 |
27101007733 | # -*- coding: utf-8 -*-
from PyQt4 import QtGui as qg
import PyQt4
import sys
class Example( qg.QWidget ):
def __init__( self ):
super(Example,self).__init__()
PyQt4.QtCore.QTextCodec.setCodecForTr(PyQt4.QtCore.QTextCodec.codecForName('GB18030'))
self.init()
def init( self ):
q... | TAKSIM/news | monitor/gui_test.py | gui_test.py | py | 771 | python | en | code | 0 | github-code | 1 |
2360324537 |
# word = "you "
# # first_letter = word[0]
# # end_word = word[1:-1]
# first_letter = ""
# end_word = ""
# for char in word:
# if char == word[0:1]:
# first_letter += char
# elif char in word[1:-1:]:
# end_word += char
# # print('x')
# # print(first_letter)
# # print(end_word)
# # p... | SamuelMiller413/Python-101- | 11_conditionals-and-loops/Order_function_loop.py | Order_function_loop.py | py | 2,399 | python | en | code | 0 | github-code | 1 |
19078811720 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.db.models import Q
from django.urls import reverse_lazy
from django.views.generic import ListView
from applications.Producto.models import ProductoServicio
from applications.PaginaVenta.models import Suscripciones
from applicat... | jhonny212/portalventas | applications/Compra/views.py | views.py | py | 3,549 | python | es | code | 0 | github-code | 1 |
27168642483 | # Databricks notebook source
# MAGIC %pip install git+https://github.com/rafa-arana/fire.git
# COMMAND ----------
# MAGIC %md
# MAGIC ---
# MAGIC + <a href="$./00.DLT-SAN-Setup">STAGE 0</a>: Setup
# MAGIC + <a href="$./00.DLT-SAN-File Ingestion with Autoloader">STAGE 0 bis</a>: File Ingestion with Autoloader
# MAGIC ... | rafa-arana/dlt-regulatory-reporting | 01.DLT-SAN-Autoloader-template.py | 01.DLT-SAN-Autoloader-template.py | py | 5,618 | python | en | code | 0 | github-code | 1 |
26514033503 | from multiprocessing import Process, Value, RLock
import time
start = time.time()
numa = Value('i', 0)
numb = Value('i', 0)
rlock = RLock()
def do_sth():
""" """
"""
rlock.acquire()
try:
adda()
addb()
finally:
rlock.release()
"""
with rlock:
for i in rang... | hemuke/python | 17_process_thread/31_1_multiprocess_rlock.py | 31_1_multiprocess_rlock.py | py | 1,027 | python | en | code | 0 | github-code | 1 |
38940929836 | import functools
import io
import json
import logging
import mimetypes
import os.path
import re
import shutil
import urllib.parse
from typing import Dict, Type, TextIO
import yaml
from swagger_ui_bundle import swagger_ui_3_path # type: ignore[import]
from werkzeug import Response
from werkzeug.exceptions import HTTPE... | superbjorn09/checkmk | cmk/gui/wsgi/applications/rest_api.py | rest_api.py | py | 9,052 | python | en | code | null | github-code | 1 |
21372179198 |
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
... | pdatlab/urology_journal_retriever | JournalGrabber.py | JournalGrabber.py | py | 5,308 | python | en | code | 0 | github-code | 1 |
26055383293 | import json
import torch
import yaml
from torch.utils.data import DataLoader
from torchvision.transforms import transforms
from tqdm import tqdm
from src.data.tooth_dataset import ToothDataset
from src.model.vgg.vgg import Vgg
from src.utils.transforms import SquarePad
if __name__ == "__main__":
with open("./src... | tudordascalu/2d-teeth-detection-challenge | src/model/vgg/scripts/predict.py | predict.py | py | 2,508 | python | en | code | 2 | github-code | 1 |
39674393133 | import logging
import csv
import re
from . import Indicator
from ..interfaces import CountryPolyInterface
class WebsiteIndicator(Indicator):
"""
Indicator which detects the TLD of the website in the users profile and maps it to an area.
Note: domains such as .com, .net and .org are ignored, and only coun... | Humpheh/twied | src/twied/multiind/indicators/websiteindicator.py | websiteindicator.py | py | 1,626 | python | en | code | 11 | github-code | 1 |
31851582700 | import pprint
import re # noqa: F401
import six
from asposeslidescloud.models.math_element import MathElement
class BorderBoxElement(MathElement):
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): ... | aspose-slides-cloud/aspose-slides-cloud-python | asposeslidescloud/models/border_box_element.py | border_box_element.py | py | 10,885 | python | en | code | 0 | github-code | 1 |
358883832 | from apmiiib.abstract.geom.Point import Point
from apmiiib.abstract.represent.microbot.AbstractMicrobotLineup import AbstractMicrobotLineup
from apmiiib.abstract.represent.microbot.MicrobotSpikeParametrics import MicrobotSpikeParametrics
from math import pi, floor, pow
pi2 = pi*2
class AbstractMicrobotBasicSpike:
"... | apmiiib/takachihosecretfiles-reverseengineering-blendermicrobotsimulation | src/apmiiib/abstract/represent/microbot/AbstractMicrobotBasicSpike.py | AbstractMicrobotBasicSpike.py | py | 9,387 | python | en | code | 0 | github-code | 1 |
74229119712 | from typing import List
class Solution:
def eraseOverlapIntervals(self, intervals: List[List[int]]) -> int:
intervals.sort()
res = 0
prevEnd = intervals[0][1]
for start, end in intervals[1:]:
if start >= prevEnd:
prevEnd = end
else:
... | TimHung000/leetcode | 0435_nonOverlappingIntervals/main.py | main.py | py | 450 | python | en | code | 0 | github-code | 1 |
35507782361 | import random
RandomNumber = random.randint(1,30)
print(RandomNumber)
print('Wylosowałem liczbę z zakresu 1-30. Odganij ją\n')
while 1:
Guess = int(input())
if Guess == RandomNumber:
break
print('Brawo wygrałeś!')
| dlaciak/Python | 8/2_3.py | 2_3.py | py | 238 | python | pl | code | 0 | github-code | 1 |
183727253 | import cv2
import numpy as np
import os
import svgwrite
# load image, change color spaces, and smoothing
img = cv2.imread(os.path.dirname(os.path.abspath(__file__))+"/INIAD_logo.png")
im=cv2.resize(img,(10000,10000))
im_gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
retval, im_bw = cv2.threshold(im_gray, 0, 255, cv2.THR... | s1F101900723/CG | CG_python/11/11-5_4.py | 11-5_4.py | py | 2,421 | python | en | code | 0 | github-code | 1 |
22852644906 | from django.shortcuts import render, HttpResponse, redirect
from django.db.models import Max, Min, Count
from attendance.models import extemployeeatt, holiday, classlist, classes, classsolt, timesolt, checkinout
from hr.models import employee
from . import msslqdb
import datetime
import time
import threading
from xm... | linuxsjun/assect | attendance/views.py | views.py | py | 16,883 | python | en | code | 0 | github-code | 1 |
42595708920 | from typing import Any, Dict
from django.contrib.auth.mixins import PermissionRequiredMixin
from .exceptions import UnfoldException
class UnfoldModelAdminViewMixin(PermissionRequiredMixin):
"""
Prepares views to be displayed in admin
"""
def get_context_data(self, **kwargs) -> Dict[str, Any]:
... | unfoldadmin/django-unfold | src/unfold/views.py | views.py | py | 708 | python | en | code | 506 | github-code | 1 |
34855303951 | #!/usr/bin/env python3
import time
rot = []
for i in (1,-1):
for j in (1,-1):
for k in (1,-1):
rot.append((i,j,k))
shuffle = [[0,1,2], [0,2,1], [1,0,2], [1,2,0], [2,0,1], [2,1,0]]
flag = False
class Scanner:
def __init__(self, measures):
self.data = measures
self.num_data... | vanjo9800/AdventOfCode2021 | 19/scanners.py | scanners.py | py | 4,251 | python | en | code | 1 | github-code | 1 |
19825679464 | from menu import resources, MENU
order = input("What would you like? (espresso/latte/cappuccino):")
def calculate_amount():
t_quarter = float(input("how many quarters?:"))
t_dime = float(input("how many dimes?:"))
t_nickel = float(input("how many nickels?:"))
t_penny = float(input("how many pennies?:... | ArghyaAD/Python | coffe_machine/code.py | code.py | py | 1,078 | python | en | code | 0 | github-code | 1 |
42500434502 | from django.urls import path
from . import views
app_name = 'polls'
urlpatterns = [
# polls的首页
path('', views.IndexView.as_view(), name='index'),
# 显示第三个问题的内容，例如: /polls/2/
path('<int:pk>/', views.DetailView.as_view(), name='detail'),
# 显示第三个问题的内容回答，例如:: /polls/2/results/
path('<int:p... | cybercampus/mysite-polls | polls/urls.py | urls.py | py | 571 | python | zh | code | 0 | github-code | 1 |
10048169764 | """
Binary Search Trees (BST) - tree structure that follow the search property, ie, for every node, all the nodes in the left subtree are smaller than the current node and all the nodes in the right subtree are larger than the current node.
rank(n) => the rank of a node in a tree is the sum of the number of nodes that ... | okaysidd/Interview_material | Extras/Binary search trees (BST).py | Binary search trees (BST).py | py | 2,777 | python | en | code | 0 | github-code | 1 |
31317534219 | from typing import List
from scripts.faceswaplab_ui.faceswaplab_inpainting_ui import face_inpainting_ui
from scripts.faceswaplab_swapping.face_checkpoints import get_face_checkpoints
import gradio as gr
from modules import shared
from scripts.faceswaplab_utils.sd_utils import get_sd_option
def faceswap_unit_advanced_... | Navezjt/sd-webui-faceswaplab | scripts/faceswaplab_ui/faceswaplab_unit_ui.py | faceswaplab_unit_ui.py | py | 11,583 | python | en | code | 0 | github-code | 1 |
7521355922 | # factorial 알고리즘 (2가지 방법)
# (1) 1~n까지 연속한 정수의 곱을 구하기
def facto(n):
s = 1
for i in range(1, n+1):
s = i * s
return s
print(facto(10))
# (2) 재귀호출을 통한 구현
def facto2(n):
if n <= 1:
return 1
return n * facto2(n-1)
print(facto2(10))
# 활용1. 1~n까지 연속된 숫자 합을 재귀 함수로 구하기
# firtst trial
def sum_num(n):
... | kyueunQ/Python | algorithms/day04.py | day04.py | py | 896 | python | ko | code | 0 | github-code | 1 |
32495999011 | # You are welcome to write and include any other Python files you want or need
# however your game must be started by calling the main function in this file.
from character import Character
from random import *
# Creates the character objects
def getCharacters():
hero = Character("Daltor", 200, 20)
sendor = C... | coreymyster/adventure-game | adventure_game.py | adventure_game.py | py | 4,370 | python | en | code | 0 | github-code | 1 |
30332025823 | from pathlib import Path
import shutil
CURRENT = Path(__file__).resolve().parent
ConfPath = CURRENT / ".vscode"
if ConfPath.exists():
shutil.rmtree(ConfPath)
ConfPath.mkdir()
tasks_conf = ConfPath / "tasks.json"
if False:
tasks_conf.write_text(
"""
{
"version": "2.0.0",
"tasks": [
{
... | soda92/external_sorting | generate_vscode_files.py | generate_vscode_files.py | py | 2,338 | python | en | code | 0 | github-code | 1 |
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