seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16723311170 | import json
import threading
import cv2
import PySimpleGUI as sg
import trt_pose.coco
import trt_pose.models
from flask import Flask
from flask_restful import Api, Resource
from trt_pose.parse_objects import ParseObjects
from camera import Camera
from exercise import LeftBicepCurl, RightBicepCurl, Shoulde... | CashMemory/SeniorProject | tasks/human_pose/get_video.py | get_video.py | py | 5,493 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "flask_restful.Resource",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "exercise.LeftBicepCurl",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "... |
41202660931 | import enum
import logging
import os
import subprocess
import sys
import tempfile
from pathlib import Path
from typing import Iterable, List, Tuple, Union
from pprint import pprint
import commentjson
import config
import resume.sections as sections
def create_resume_(data: dict, output_filename: str):
class SECT... | ankan-ekansh/JSON-Resume-LaTeX | script/create.py | create.py | py | 8,191 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "enum.auto",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 20,... |
30293317516 | from gc import callbacks
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import tensorflow as tf
import scipy
import keras
from keras.models import Sequential
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers... | hafeezkhan909/Detection-of-Cavities-from-Oral-Images-using-Convolutional-Neural-Networks | main.py | main.py | py | 5,653 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "keras.models.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.layers.Convolution2D",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "keras.layers.BatchNormalization",
"line_number": 29,
"usage_type": "call"
},
{
... |
30579767477 | import os
import numpy as np
import torch
import transformers
import torch.nn as nn
from transformers import AutoModel, BertTokenizer
import nltk
nltk.download("stopwords")
from nltk.corpus import stopwords
from string import punctuation
russian_stopwords = stopwords.words("russian")
'''import keras
import numpy as ... | FenixFly/Neimark-hack-FSC | backend/MLmodels.py | MLmodels.py | py | 8,042 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.... |
26966511059 | import pandas as pd
import numpy as np
import re
from itertools import chain
from sklearn.preprocessing import StandardScaler
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
import pickle
with open('only_viruses.pkl','rb') as f:
only_viruses = pickle.load(f)
with op... | IlyaMescheryakov1402/virus-predictor | predict.py | predict.py | py | 2,977 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_numb... |
3026797044 | # -*- coding: utf-8 -*-
from Basic_Tools import *
import arcpy,math
import pandas as pd
import numpy as np
import uuid,json,datetime,sys,csv,os
from scipy.spatial import distance_matrix
arcpy.env.overwriteOutPut = True
class Layer_Engine():
def __init__(self,layer,columns = 'all'):
i... | medad-hoze/EM_3 | Old/Engine_class.py | Engine_class.py | py | 9,913 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "arcpy.env",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "arcpy.ListFields",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
29394478322 | # -*- coding: utf-8 -*-
"""Bottle web-server."""
from bottle import Bottle
from bottle import template, static_file
from os.path import dirname, abspath
from datetime import date, timedelta
app = Bottle()
BASE_DIR = dirname(abspath(__file__))
@app.route('/static/<filename:path>')
def server_static(filename):
"... | AnotherProksY/MyPage | src/mypage.py | mypage.py | py | 701 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "bottle.Bottle",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bottle.static_file",
... |
3511505451 | from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
class Orderpage:
def __init__(self, driver): # constructor method
self.driver = driver
self.wait = WebDriverWait(self.driver, 10)
... | tadios19/QA_19_POM1 | Src/Pages/OrderPage.py | OrderPage.py | py | 705 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.presence_of... |
37753193171 | import requests
from bs4 import BeautifulSoup
from pymongo import MongoClient
from loguru import logger
from tqdm import tqdm
from .dates import DATES
client = MongoClient()
db = client["echo_of_moscow"]
collection = db["error_log_links"]
def links() -> list:
links = []
logger.info("Starting generating")
... | smapl/mos_parse | src/mos_parse/parse_links.py | parse_links.py | py | 1,022 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "loguru.logger.info",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "dates.DATES",
... |
74120520424 | import pygame,sys
from pygame.locals import *
from GUI_formulario_prueba import FormPrincipal
from constantes import *
pygame.init()
pygame.display.set_caption("Robot Blaster Adventure")
RELOJ = pygame.time.Clock()
PANTALLA = pygame.display.set_mode((ANCHO_PANTALLA,ALTO_PANTALLA))
imagen_fondo = pygame.imag... | valverdecristian/cristian_valverde_tp_pygame | main_principal.py | main_principal.py | py | 1,647 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
966762603 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from textwrap import dedent
import argparse
import logging
import numpy as np
np.set_printoptions(precision=1)
from scipy.sparse import load_npz
from surface_stiffness.matrix import (
fourier_transform_symmetric_square_block_matrix,
OrderedVectorToRectan... | wgnoehring/surface_stiffness | scripts/fourier_transform_greens_functions.py | fourier_transform_greens_functions.py | py | 3,013 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "textw... |
70584661544 | # create venv
# python3 -m venv env
import markdown
from datetime import datetime
md = markdown.Markdown(extensions=['markdown.extensions.fenced_code'])
file_data = None
with open('raw.md') as f:
file_data = f.read()
#print(file_data)
data = md.convert(file_data)
header_list = []
# link
i = len(data)
target = '... | yjlo123/runtime-tutorial | gen.py | gen.py | py | 2,378 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "markdown.Markdown",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 93,
"usage_type": "name"
}
] |
34112296996 | #!/usr/bin/env python3
import time
import sys
import psycopg2
import configparser
from json import dumps
from json import loads
import stomp
###############################################################################
# Globals
###############################################################################
config... | pumpingstationone/DeepHarborCRM | DHDispatcher/dispatcher.py | dispatcher.py | py | 3,088 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "stomp.ConnectionListener",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name... |
5221914888 | import matplotlib.pyplot as plt
from constants.spark import Session
from etl import parquet
def createDistributionGraph():
"""
Distribution analysis function
Calculates the distribution of cyclists over the different measurement points
Shows the results in a bar plot
:return: None
"""
wit... | BigUtrecht/BigUtrecht | analysis/distribution.py | distribution.py | py | 1,598 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "constants.spark.Session",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "etl.parquet.readResults",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "etl.parquet",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "etl.parqu... |
16667023084 | import torch, torch.nn, torch.nn.functional as F
import pytorch_lightning as pl
from tqdm import tqdm
from pathlib import Path
from argparse import ArgumentParser, Namespace
from itertools import count
import time, os
from train import Unet3D, QureDataset
def predict(args):
checkpoint_path = Path(args.checkpo... | xeTaiz/dvao | infer.py | infer.py | py | 3,255 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"l... |
32707616661 | import pygame
from pygame.locals import *
class abstractCell:
def __init__ (self):
"cell basic class"
self.northWallBroken = False
self.eastWallBroken = False
self.westWallBroken = False
self.southWallBroken = False
"if visited"
self.visited = False
self.neighbours = []
"coords"
self.x = 0
s... | Sheepaay/Maze-Generation | cell.py | cell.py | py | 2,254 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.draw.line",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.line",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
... |
39497609909 | """
Module for Various functions to simplify and standardize dumping objects to json.
NOTE: this is taken from python-common in nomad-lab-base.
It is copied here to remove the dependency from nomad-lab-base.
For more info on python-common visit:
https://gitlab.mpcdf.mpg.de/nomad-lab/python-common
The author of this ... | angeloziletti/ai4materials | ai4materials/external/json_support.py | json_support.py | py | 5,727 | python | en | code | 36 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.ascontiguousarray",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "builtins.object",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "json.dump"... |
14208634774 | import trimesh
import subprocess
import time
def reduceVertex(mesh, vertices = 1024):
mesh.export("temp.obj")
subprocess.run(["Manifold/build/manifold", "temp.obj", "temp.obj", "1500"])
mesh = trimesh.load("temp.obj")
n_tries = 0
while(mesh.vertices.shape[0] != vertices):
n_vertices = mes... | texsmv/PCLslimTreeRec | Code/utils.py | utils.py | py | 996 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "subprocess.run",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "trimesh.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "trimesh.load",
"line_num... |
8692281198 | from aiogram.dispatcher import FSMContext
from aiogram.utils.markdown import bold
from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton, ParseMode
import keyboards
import db
from StateMachine import NewStateMachine
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram import Disp... | malumbaaa/jerrybot | handlers/admin/delete_dish_handler.py | delete_dish_handler.py | py | 4,611 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aiogram.dispatcher.filters.state.StatesGroup",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 17,
"usa... |
17090138466 | from flask import Blueprint, render_template, request
auth = Blueprint(
'auth',
__name__,
template_folder='templates',
static_folder='static'
)
@auth.route('/login', methods=['POST', 'GET'])
def login():
if request.method == 'POST':
print(request.form)
return render_template('login.htm... | fortisauris/PyDevJunior2 | FL05_BLUEPRINTS/blueprints/auth/auth.py | auth.py | py | 324 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.request.... |
32824752707 | import cv2
import os
def register():
cam=cv2.VideoCapture(0)
detector=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
num=input('enter our ID : ')
sampleNum=0
while True:
pwd=os.getcwd()
ret,im=cam.read()
if not ret:
print(ret)
break
... | apoorvamilly/imirror | dataset.py | dataset.py | py | 975 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"li... |
12644189947 | import os
import music21 as m21
import numpy as np
from tensorflow import keras
import tensorflow as tf
import json
# globals
# ex : "dataset/deutschl/test"
DATASET_DIR = "dataset/deutschl/erk"
# ex : "preprocessed/encode/deutschl/test"
ENCODED_SAVE_DIR = "preprocessed/encode/deutschl/erk"
# ex : "preprocessed/singl... | Audirea/music-generator | preprocessing.py | preprocessing.py | py | 7,365 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "music21.converter.parse",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "music21.converter",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "music21.str... |
15343540294 | import os
import re
from collections import defaultdict
from multiprocessing import Pool
from multiprocessing.dummy import Pool as ThreadPool
import chess
from chess.pgn import read_game
import numpy as np
def extract_moves(game):
# Takes a game from the pgn and creates list of the board state and the next
#... | mrklees/deepconv-chess | py/data_generator.py | data_generator.py | py | 5,960 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "chess.Board",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.isin",
"line_number": 5... |
11469122465 | import tensorflow as tf
import tensorflow_probability as tfp
import numpy as np
import time
import utils
def get_pNK_test_obs(
ls, sigmas, sigma0s,
nhyp,
X, # (nobs, xdim)
test_xs, # (ntest, xdim)
dtype=tf.float32
):
"""
Returns
... | ZhaoxuanWu/Trusted-Maximizers-Entropy-Search-BO | criteria/evaluate_sample_mp.py | evaluate_sample_mp.py | py | 11,291 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "tensorflow.float32",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.shape",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.shape",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tensorflow.... |
44310759659 | import pygame, colors, random, time, runclass, math, draw
from random import randint
def info(screen, WIDTH, HEIGHT):
# displays the goal of the game with the desired font and pauses for 1.5 seconds before the game starts
info_font = pygame.font.SysFont('Comic Sans MS', 100)
info_message = info_font.render('Rea... | RamboTheGreat/Minigame-Race | run.py | run.py | py | 3,594 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.font.SysFont",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "colors.white",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "colors.black",
... |
8863752563 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rcParams['font.family'] = 'cmu serif'
# use latex for font rendering
matplotlib.rcParams['text.usetex'] = True
SMALL_SIZE = 12
MEDIUM_SIZE = 14
BIGGER_SIZE = 16
plt.rc('font', size=SMALL_SIZE) # controls default text sizes
plt.rc... | marco-rosso-m/SAP2000-python-for-structural-optimization | Parallel_processing_optimization/Optimization_Parallel_sez_diverse_fixed.py | Optimization_Parallel_sez_diverse_fixed.py | py | 15,571 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
23176774568 | from .models import Heroes, Properties
from django.forms import ModelForm, Form, TextInput, Textarea, Select, CheckboxSelectMultiple, CharField,\
MultipleChoiceField, PasswordInput
from django.contrib.auth.models import User
class HeroesForm(ModelForm):
class Meta:
model = Heroes
fields = [
... | Manakhov/7dsgc-wiki | sdsgc_wiki/main/forms.py | forms.py | py | 3,196 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Heroes",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.TextInput",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.form... |
71578936743 | #!/usr/bin/env python
"""
"""
import vtk
def main():
colors = vtk.vtkNamedColors()
fileName = get_program_parameters()
colors.SetColor("SkinColor", [255, 125, 64, 255])
colors.SetColor("BkgColor", [51, 77, 102, 255])
# Create the renderer, the render window, and the interactor. The renderer
... | lorensen/VTKExamples | src/Python/Medical/MedicalDemo1.py | MedicalDemo1.py | py | 3,793 | python | en | code | 319 | github-code | 36 | [
{
"api_name": "vtk.vtkNamedColors",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderWindow",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderW... |
72275954665 | from socket import *
from threading import Thread
import os,stat
import time, random
import statistics
def r2(n,ip,port):
if port == 20002: node = "s" # This is for output purposes
elif port == 20022: node = "d"
print("R2 WILL SEND MESSAGE TO: {} OVER {}".format(node, ip, port))
c = socket(AF_INET, SOCK_DGRAM) ... | ilkersigirci/METU-CENG-Assignments | Ceng435-Data_Communications_and_Networking/Term-Project-Part1/discoveryScripts/r2.py | r2.py | py | 2,452 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_numb... |
17797629984 | from __future__ import absolute_import, division, print_function, unicode_literals
import os
from builtins import str
from contextlib import contextmanager
from unittest import skipIf
from pants.java.distribution.distribution import Distribution, DistributionLocator
from pants.util.osutil import OS_ALIASES, get_os_na... | fakeNetflix/twitter-repo-pants | tests/python/pants_test/java/distribution/test_distribution_integration.py | test_distribution_integration.py | py | 6,476 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pants.java.distribution.distribution.DistributionLocator.options_scope",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pants.java.distribution.distribution.DistributionLocator",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pants_test.s... |
16636445685 | from enum import Enum
from math import hypot
from typing import Optional, List, Tuple, Union, Type
import torch
from torch import nn, Tensor
__all__ = [
"bilinear_upsample_initializer",
"icnr_init",
"AbstractResizeLayer",
"PixelShuffle",
"PixelShuffleWithLinear",
"BilinearAdditiveUpsample2d",
... | BloodAxe/pytorch-toolbelt | pytorch_toolbelt/modules/upsample.py | upsample.py | py | 9,298 | python | en | code | 1,447 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_numb... |
40798536786 | from keras.datasets import mnist
from keras.utils import np_utils
import numpy as np
import sys
import tensorflow as tf
seed = 0
np.random.seed(seed)
tf.set_random_seed(seed)
(X_train, y_class_train), (X_test, y_class_test) = mnist.load_data()
print("Num of images in Train set: %d" % (X_train.shape[0]))
print("Num ... | devjwsong/deep-learning-study-tensorflow | Chap5/MNIST_Data.py | MNIST_Data.py | py | 898 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.da... |
15194589620 | import json
with open ( "../6.NLP/sarcasm.json" , 'r' ) as f : datastore = json.load ( f )
sentences = []
labels = []
for item in datastore :
sentences.append ( item [ 'headline' ] )
labels.append ( item [ 'is_sarcastic' ] )
training_size = 20000
training_sentences = sentences [ 0 : training_size... | AmalLight/Neural_Network_2 | 7.sequences_RNN/12.sarcasm_with_1D_convolutional.py | 12.sarcasm_with_1D_convolutional.py | py | 2,519 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.text.Tokenizer",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.sequence.pad_sequences",
"line_number": 38,
"usage_... |
12338780708 | ################011011100110010101101111####
### neo Command Line #######################
############################################
def getcmdlist():
cmds = {
"sav" :"Select all in Active View, Model or Annotation.",
"samv" :"Select all in Active View, non Annotation.",
... | 0neo/pyRevit.neoCL | neoCL.extension/neocl_s.py | neocl_s.py | py | 1,593 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "lib.select.neo_selection_funcs.SelectAllInView",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "lib.select.neo_selection_funcs",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "lib.select.neo_selection_funcs.SelectAllInView",
"line_number":... |
318564129 | import logging
import shutil
from os.path import isdir
from urllib.request import urlopen
from zipfile import ZipFile
from charms.nginx_ingress_integrator.v0.ingress import IngressRequires
from ops.charm import CharmBase
from ops.main import main
from ops.model import ActiveStatus, BlockedStatus, MaintenanceStatus
lo... | mthaddon/hello-kubecon-k8s | src/charm.py | charm.py | py | 4,399 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ops.charm.CharmBase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "charms.nginx_ingress_integrator.v0.ingress.IngressRequires",
"line_number": 27,
"usage_type": "call... |
20077176339 | from django.urls import resolve
from rest_framework import status
from rest_framework.reverse import reverse
from rest_framework.test import APITestCase, APIRequestFactory
from cars.models import Car, Manufacturer, Rate
from cars.serializers import PopularSerializer
from cars.views import PopularListView
factory = AP... | tomasz-rzesikowski/cars_API | cars/tests/tests_views/tests_popular_list_view.py | tests_popular_list_view.py | py | 2,109 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.test.APIRequestFactory",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "cars.views.PopularListView.as_view",
"line_number": 15,
"usage_type... |
32817446826 | """Add beach_id column and BeachForecastListHistory table
Revision ID: eae746ee3547
Revises: cc49b6b03c5a
Create Date: 2021-11-06 03:37:19.196002
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = 'eae746ee3547'
down_revis... | veluminous/sea_forecast_api | alembic/versions/eae746ee3547_add_beach_id_column_and_.py | eae746ee3547_add_beach_id_column_and_.py | py | 2,744 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
39723147483 | from fastapi import Response, HTTPException
from odmantic import Field
from pydantic import BaseModel
from pydantic.main import ModelMetaclass
from starlette.background import BackgroundTask
import typing
from dojo.shared.supported_services import SupportedServices
if typing.TYPE_CHECKING:
from dojo.shared.error_m... | ms7m/dojo | dojo/shared/response.py | response.py | py | 3,595 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "fastapi.Response",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "typing.Opti... |
17659950405 | # -*- coding:utf-8 -*-
import pandas as pd
import requests
import time
import json
import os
def get_month_data(month):
page = 1
num = 1
video_list = []
while(True):
print('*****' * 10, f'page[{page}]', '*****' * 10)
# 处理月份格式
if month in ['01', '03', '05', '07', '08', '10', ... | PeanuTxT/bilibili_spider | danmu_spiders/link_spider.py | link_spider.py | py | 2,626 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 45... |
7768381873 | #!/usr/bin/env python3
# AWS Lambda function for creating an AMI image from a given instance.
# By Michael Ludvig - https://aws.nz
# Trigger this function from CloudWatch Scheduler (cron-like)
# Pass the Instance ID in 'instance_id' environment variable.
import os
import boto3
from datetime import datetime, timedelt... | mludvig/aws-standard-templates | src/lambda-snapshot-instance.py | lambda-snapshot-instance.py | py | 2,534 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "boto3.client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strftime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datetime.da... |
19781798290 | from os import popen
from pathlib import Path
import threading
from tkinter import Tk, Canvas, Entry, Text, Button, PhotoImage
from tkinter import *
from tkinter import ttk
from tkinter.messagebox import OK
import pyautogui
import mouse
import cv2
import pytesseract
from PIL import Image
import threading
import numpy a... | MohamedWael3011/PROFarmTracker | gui.py | gui.py | py | 8,410 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.Tk",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Treeview",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "tkinter.Button",
"lin... |
1290956082 | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 16 12:27:12 2022
@author: Delaeyram
"""
import streamlit as st
import cv2
st.markdown("Built by Eyram Dela")
run = st.checkbox("Run")
FRAME_WINDOW = st.image([])
video = cv2.VideoCapture(0)
net = cv2.dnn.readNet("dnn_model/yolov4-tiny.weights","dnn_model/yol... | eyradel/hybrid | hybrid.py | hybrid.py | py | 1,119 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.markdown",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.checkbox",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.image",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCaptur... |
70663470184 | import pandas as pd
import sqlite3
def load_data(messages_filepath, categories_filepath):
'''
Create dataframes for messages and categories data.
'''
messages_df = pd.read_csv(messages_filepath)
categories_df = pd.read_csv(categories_filepath)
return messages_df, categories_df
def clean_data... | rebeccaebarnes/DSND-Project-5 | scripts/process_data.py | process_data.py | py | 3,347 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_... |
43750959743 | # coding: utf-8
from __future__ import unicode_literals
import datetime
import unittest
from uwsgi_log_plugin import import_from_uwsgi_log
class UwsgiLogPluginTestCase(unittest.TestCase):
def test_import_from_uwsgi_log(self):
filename = "uwsgi.log"
table = import_from_uwsgi_log(filename, "utf-... | turicas/rows | examples/library/tests_uwsgi_log.py | tests_uwsgi_log.py | py | 1,076 | python | en | code | 851 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "uwsgi_log_plugin.import_from_uwsgi_log",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
22279183529 | import time
from wflow_sdk.core.dataset import WFlowDataset
from torch.utils.data import DataLoader
from torchvision import transforms
from torch.nn.utils.rnn import pad_sequence
import random
import json
import torch
import sys
import librosa
sys.path.append('../')
from dataset.tokenization import BertTokenizer
from u... | MLgdg/Video-Clip | video_class/dataset/wflow_dataset.py | wflow_dataset.py | py | 16,264 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.Config",
"line_numb... |
18253181418 | #!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
from .KITConfig import KITConfig
from .kitdata import KITData
from .kitlodger import KITLodger
from collections import OrderedDict
from .Utils import kitutils
import itertools
import logging
class KITMatplotlib(object):
def __init__(self, ... | SchellDa/KITPlot | kitmatplotlib.py | kitmatplotlib.py | py | 19,336 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "Utils.kitutils.extractList",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "Utils... |
34766663711 | import os
import io
import imageio
import logging
import cv2
import numpy as np
from PIL import Image
import torch
from ts.torch_handler.base_handler import BaseHandler
logger = logging.getLogger(__name__)
def test_resize(img, size=640, pad=False):
h, w, c = img.shape
scale_w = size / w
scale_h = size /... | huyhoang17/DB_text_minimal | src/db_handler.py | db_handler.py | py | 3,114 | python | en | code | 34 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_numbe... |
20382572134 | # 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 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but
... | ramamoorthyluxman/SurfaceAdaptiveRTI | __init__.py | __init__.py | py | 40,570 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.hypot",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.hypot",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"line_numbe... |
73876350504 | from gwibber.microblog import network, util
import cgi
from oauth import oauth
from gwibber.microblog.util import resources
from gettext import lgettext as _
import logging
logger = logging.getLogger("Twitter")
logger.debug("Initializing.")
PROTOCOL_INFO = {
"name": "Twitter",
"version": "1.0",
"config": [
... | thnguyn2/ECE_527_MP | mp4/SD_card/partition1/usr/share/gwibber/plugins/twitter/__init__.py | __init__.py | py | 18,053 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gwibber.microblog.util.getbus",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "gwibber.microblog.util",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": ... |
6226481940 | import glob, os
import cv2
import numpy as np
def red_ch_zeros(foldername):
'''
Drop red channel.
:param foldername: string
:return: None
'''
dir_name = foldername + os.sep + "*"
image_files_list = list(glob.glob(dir_name))
for image_file in image_files_list:
src = cv2.imread(... | Daeil-Jung/Fundus_Process | preproc/ch_reduction.py | ch_reduction.py | py | 563 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.sep",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_UNCHANGED",
"line_num... |
19405983770 | import time
from typing import List
class Solution:
'''
3.Longest Substring Without Repeating Characters
Given a string s, find the length of the longest substring without repeating characters.
'''
def basic(self, s):
n = len(s)
j = -1
mp = {}
res = 0
for i i... | Matthewow/Leetcode | slidingWindow/sliding_window.py | sliding_window.py | py | 3,335 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 101,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12... |
19045144385 | #cog by @maxy_dev (maxy#2866)
import asyncio
import sys
import disnake as discord
import random
import os
from main import bot
from enum import Enum
import datetime, time
from disnake.ext import commands
from utils import db
if "debug" not in db:
db["debug"] = {}
class Required1(str, Enum):
true = "True"
false ... | 1randomguyspecial/pythonbot | cogs/debug.py | debug.py | py | 3,810 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "utils.db",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "utils.db",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "disnake.ext.commands.Cog",
"line_numb... |
22530319238 | import numpy as np
import pytest
import gym
from gym.wrappers import FrameStack
try:
import lz4
except ImportError:
lz4 = None
@pytest.mark.parametrize("env_id", ["CartPole-v1", "Pendulum-v1", "CarRacing-v2"])
@pytest.mark.parametrize("num_stack", [2, 3, 4])
@pytest.mark.parametrize(
"lz4_compress",
... | openai/gym | tests/wrappers/test_frame_stack.py | test_frame_stack.py | py | 1,457 | python | en | code | 33,110 | github-code | 36 | [
{
"api_name": "gym.make",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "gym.wrappers.FrameStack",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.allclose",
"line_... |
475267315 | from helpers.agent.multi_agent import MultiAgent
from helpers.env.env_utils import Init_Env
from itertools import count
import numpy as np
import torch
import glob
import time
import os
import gc
import sys
LEAVE_PRINT_EVERY_N_SECS = 300
class Env_Agent_Mix:
# initializerrrrrrr
def __init__(self, filename:str,... | Oreoluwa-Se/MultiAgent-SAC-Tennis | helpers/env_agent_interact.py | env_agent_interact.py | py | 14,372 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "helpers.env.env_utils.Init_Env",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.array"... |
3123319458 | # ------------------------------------------------------------------------------
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn.decomposition import KernelPCA
from sklearn.preprocessing import StandardScaler
import warnings
warnings.filterwarnings("ignore")
# -... | PauloAguayo/PUCV | TimeEncoder/nlpca.py | nlpca.py | py | 4,866 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.decomp... |
6508923868 | # -*- coding: utf-8 -*-
import numpy as np
import csv
import chainer
import chainer.functions as F
import chainer.links as L
import sys
import matplotlib.pyplot as plt
"""
データを実際に予測するときに利用するクラス
:param
predict_ary: csvからデータを取ってきて, 入力と正解をタプル形式で配列で持つクラス
plt_ary: matplotlibで表示するためにもつ配列
model: chainerでつくったモ... | awkrail/laugh_maker | validation_src/predictor.py | predictor.py | py | 3,639 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "chainer.serializers.load_npz",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "chainer.serializers",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "num... |
71699272744 | import numpy as np
import scipy.interpolate as sp_interp
from scipy.integrate import odeint, solve_ivp
import matplotlib.pyplot as plt
def odefun(t,x,params_log):
# Variables
Cs_ctnt = x[0]
Cc_ctnt = x[1]
Cp_ctnt = x[2]
# Arguments
a_log = params_log[0]
b_log = params_log[1]
Tsc_log =... | FraViss/CBRApy_ | CODE/functions_repository.py | functions_repository.py | py | 4,668 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.power",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
3882480498 | """
aimall_utils.py v0.1
F. Falcioni, L. J. Duarte, P. L. A. Popelier
Library with function to submit job to AIMAll and get properties values from output
AIMAll version: 19.10.12
Check for updates at github.com/FabioFalcioni
For details about the method, please see XXXXXXX
"""
import numpy as np
from typing import ... | popelier-group/REG | REG/aimall_utils.py | aimall_utils.py | py | 13,205 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "numpy.sqrt",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 78,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 1... |
71244448103 | import argparse
import os
import random
import tensorflow as tf
import re
import subprocess
import pyonmttok
import threading
import flask
from flask import request, jsonify
# TensorFlow Addons lazily loads custom ops. So we call the op with invalid inputs
# just to trigger the registration.
# See also: https://github.... | bhavinkotak07/distributed_machine_translation | model_api.py | model_api.py | py | 4,096 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow_addons.seq2seq.gather_tree",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow_addons.seq2seq",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.errors",
"line_number": 17,
"usage_type": "attribute"
}... |
32994978761 | """
Executor class.
"""
from __future__ import unicode_literals
import yaml
import subprocess
from voluptuous import Schema
from contextlib import closing
from functools import partial
from six import PY2
from locale import getpreferredencoding
class BaseExecutor(object):
"""
A generic executor class.
... | freelan-developers/plix | plix/executors.py | executors.py | py | 3,338 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "voluptuous.Schema",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "yaml.add_multi_representer",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "six.PY... |
5054739529 | from django.conf.urls import url, include
from rest_framework.urlpatterns import format_suffix_patterns
from .views import *
urlpatterns = {
url(r'^$', default, name="default"),
url(r'^profile/$', ProfileCreateView, name="profile"),
url(r'^profile/(?P<pk>[0-9]+)/$', ProfileDetailsView, name="profile_detail... | Willievuong/Stutter | backend/database/urls.py | urls.py | py | 1,032 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
41014917696 | import matplotlib.pyplot as plt
import matplotlib.animation as animation
from qbstyles import mpl_style
import numpy as np
import time
import os.path
import re
fig = plt.figure(facecolor='#1a1e24',edgecolor='black')
fig.canvas.set_window_title('MCS Readings')
ax1 = fig.add_subplot(1,1,1)
mpl_style(dark=Tr... | joymkj/labscript | labscript_suite/labscript_utils/mcs.py | mcs.py | py | 5,998 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "qbstyles.mpl_style",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplot... |
17895779950 | import os
import tempfile
from typing import List
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
import data # local file import from experimental.shoshin
def _make_temp_dir() -> str:
return tempfile.mkdtemp(dir=os.environ.get('TEST_TMPDIR'))
def _make_serialized_image(size: int) ... | google/uncertainty-baselines | experimental/shoshin/data_test.py | data_test.py | py | 3,743 | python | en | code | 1,305 | github-code | 36 | [
{
"api_name": "tempfile.mkdtemp",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint"... |
7005651266 | """Added_TokenBlackList_table
Revision ID: c2d76eeeeb15
Revises: 703db21eb105
Create Date: 2021-11-20 00:13:10.270320
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c2d76eeeeb15'
down_revision = '703db21eb105'
branch_labels = None
depends_on = None
def upgr... | nazarkohut/room_book | migrations/versions/c2d76eeeeb15_added_tokenblacklist_table.py | c2d76eeeeb15_added_tokenblacklist_table.py | py | 841 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.INTEG... |
5893250281 | #!/usr/bin/env python3
"""
hw2main.py
UNSW COMP9444 Neural Networks and Deep Learning
DO NOT MODIFY THIS FILE
"""
import torch
from torchtext import data
from config import device
import student
def main():
print("Using device: {}"
"\n".format(str(device)))
# Load the training dataset, and creat... | gakkistyle/comp9444 | ass2/hw2/hw2main.py | hw2main.py | py | 5,907 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "config.device",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "torchtext.data.Field",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torchtext.data",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "student.tokenis... |
73158859623 | from atexit import register
from unicodedata import category
from django import template
from ..models import Category
register = template.Library()
# @register.simple_tag
# def title(data="وبلاگ جنگویی"):
# return data
# @register.inclusion_tag("pages/partials/category_navbar.html")
# def category_navbar():
# ... | AliNozhati/BlogProject | pages/templatetags/base_tags.py | base_tags.py | py | 741 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "atexit.register",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "atexit.register.... |
74963737383 | # !/usr/bin/env python
# -*- coding:utf-8 -*-
"""
@FileName: EditAdmin
@Author : sky
@Date : 2023/2/8 11:08
@Desc : 修改用户界面设计与功能实现
"""
import sql_table
from PySide6.QtWidgets import QApplication, QMainWindow, QMessageBox, QInputDialog, QLineEdit, QPushButton, QLabel
from PySide6.QtCore import Qt, QRect, QMetaOb... | Bxiaoyu/NotesRep | studentms/EditAdmin.py | EditAdmin.py | py | 5,579 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PySide6.QtWidgets.QLabel",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PySide6.QtCore.QRect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PySide6.QtCore.Qt.AlignmentFlag",
"line_number": 25,
"usage_type": "attribute"
},
{
... |
70606068584 | import os
from os.path import (
abspath,
dirname,
isfile,
join as join_path,
)
from six.moves.configparser import ConfigParser
from pymud.utilities import ConsoleLogger
rel_path = abspath(join_path(dirname(__file__), 'pymud.conf'))
etc_path = join_path('/etc/pymud', 'pymud.conf')
CONFIG = ConfigPa... | jzaleski/pymud | pymud/__init__.py | __init__.py | py | 675 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
44141408017 | from torch.utils.data import Dataset
import numpy as np
from PIL import Image
import random
from torchvision import transforms
from options import utils_option
import os
import math
from lib import utils_image as util
class BaseDataset(Dataset):
def __init__(self):
super(BaseDataset, self).__init__()
... | chqwer2/Multi-view-Self-supervised-Disentanglement-Denoising | data/dataset_base.py | dataset_base.py | py | 5,678 | python | en | code | 99 | github-code | 36 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "options.utils_option.json_parse",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "options.utils_option",
"line_number": 62,
"usage_type": "name"
},
{
"api... |
5347720873 | from operator import mul
from functools import reduce
def combinations_count(n, r):
r = min(r, n - r)
numer = reduce(mul, range(n, n - r, -1), 1)
denom = reduce(mul, range(1, r + 1), 1)
return numer // denom
N, L = map(int, input().split())
l = N%L
cnt = 0
for l in range(N//L+1):
x = N-L*l
cnt ... | hrkhrkhrk/Atom | kyopro_educational_90/50_StairJump.py | 50_StairJump.py | py | 371 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "functools.reduce",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "functools.reduce",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"l... |
39826357335 | import logparser
import numpy as np
from matplotlib import pyplot as plt
access_log = open("access.log","r")
dt_counter = {}
for line in access_log:
logDict = logparser.parser(line)
dat = logDict['time'][:11]
if dat not in dt_counter:
dt_counter[dat] = 1
else:
dt_counter[da... | SaneshSabu/Visualisation-of-Log-file-using-Python-and-Matplotlib | hits_date_line_graph.py | hits_date_line_graph.py | py | 797 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logparser.parser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "matplotli... |
40187237048 | from selenium import webdriver
from datetime import datetime
import time
browser=webdriver.Chrome(r"C:\Users\FZL\Desktop\Blast Betting Game Predictor\Dependencies\chromedriver.exe")
#go to site
browser.get("http://1fifa90.com/games/crash/index")
#login
time.sleep(5)
browser.find_element_by_id("mail").se... | alifzl/Blast-Betting-Game-Predictor | First things First (Data Collecting)/myBot.py | myBot.py | py | 2,122 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
18433473447 | """H1st IoT Maintenance Operations: URL configs."""
from django.conf.urls import include, url
from rest_framework.routers import DefaultRouter
from aito.iot_mgmt.maint_ops.views import (
EquipmentInstanceDailyRiskScoreViewSet,
EquipmentProblemTypeViewSet,
EquipmentInstanceAlarmPeriodViewSet,
Equipme... | aitomatic/contrib | src/aito/iot_mgmt/maint_ops/urls.py | urls.py | py | 1,124 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "aito.iot_mgmt.maint_ops.views.EquipmentInstanceDailyRiskScoreViewSet",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "aito.iot_mgmt.maint_ops.views.Equip... |
33808709044 | """added profile pict
Revision ID: d03756b7815b
Revises: 845e6def5277
Create Date: 2022-03-02 16:17:18.286475
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd03756b7815b'
down_revision = '845e6def5277'
branch_labels = None
depends_on = None
def upgrade():
... | andyderis36/4p-flask | migrations/versions/d03756b7815b_added_profile_pict.py | d03756b7815b_added_profile_pict.py | py | 790 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
19842008557 | # 백준 4485. 녹색 옷 입은 애가 젤다지?
# 시간 제한 1초 / 메모리 제한 256MB
from collections import deque
dx = [-1, 1, 0, 0]
dy = [0, 0, -1, 1]
def bfs():
global dist
queue = deque()
queue.append((0, 0))
dist[0][0] = graph[0][0]
while queue:
x, y = queue.popleft()
for d in range(4):
... | eundeok9/algorithm-study | 백준/Gold/4485. 녹색 옷 입은 애가 젤다지？/녹색 옷 입은 애가 젤다지？.py | 녹색 옷 입은 애가 젤다지？.py | py | 966 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
}
] |
17849552367 | from ..config import Vector, ParameterName, ColorConfig, ZOrderConfig
from ..config import CompositeFigure, PathStep, PathOperation, PathShape, Rectangle, Ellipse, ellipse_arc_obj
class CulturedCellConfig(object):
common_z_order = ZOrderConfig.default_patch_z_order
z_order_increment = ZOrderConfig.z_order_inc... | LocasaleLab/Automated-MFA-2023 | figures/figure_plotting/figure_elements/diagrams/diagram_elements/object_diagrams/cultured_cell.py | cultured_cell.py | py | 8,045 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.ZOrderConfig.default_patch_z_order",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "config.ZOrderConfig",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "config.ZOrderConfig.z_order_increment",
"line_number": 7,
"usage_type": ... |
12315654775 | import pygame
pygame.init()
default_display = 320, 240
max_display = pygame.display.Info().current_w, pygame.display.Info().current_h
scale = 1
fullscreen = False
draw_surface = pygame.Surface(default_display)
scale_surface = pygame.Surface(default_display)
game_display = pygame.display.set_mode(default_d... | philorfa/FDTD_2D | pythonProject/Functions/delete later.py | delete later.py | py | 1,880 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.Info",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
... |
29730548092 | import setuptools
# with open("README.md", "r") as fh:
# long_description = fh.read()
long_description = 'https://github.com/suckmybigdick/flask-wechat-utils'
setuptools.setup(
name = "flask-wechat-utils",
version="0.1.16",
auth="Huang Xu Hui",
author_email="13250270761@163.com",
description="flask-wechat-tu... | synctrust/flask-wechat-utils | setup.py | setup.py | py | 908 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 19,
"usage_type": "call"
}
] |
42238036553 | import requests
import json ,os,pprint
while True:
if os.path.exists("s_courses.json")==False:
a=requests.get('http://saral.navgurukul.org/api/courses')
pprint.pprint(a.text)
b=a.text
c=open('s_courses.json','w')
json.dump(b,c)
c.close()
c=open('s_courses.json','r')
jsl1=json.load(c)
jsl2=json.loads(j... | shabidkhan/API | API.py | API.py | py | 1,568 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_numbe... |
40367902920 | # importing required modules
import tkinter as tk
from tkinter import filedialog
import xlsxwriter
from init_row_data import init_row_data
from compute_B import compute_B
from compute_A import compute_A
# console interface
print("Power bills data extractor in txt\nver.: 1.0, 10/03/2022\nAuthor: Fellipe Filgueira"... | fellipefilgueira/power-bill-data-txt-extractor | Source/main.py | main.py | py | 2,315 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.Tk",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "xlsx... |
709130702 | #!/usr/bin/env python
import os
from setuptools import setup
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
def read(fname):
return open(... | artss/geweb | setup.py | setup.py | py | 1,350 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"lin... |
9273754357 | import os
import gym
import time
import argparse
import numpy as np
import matplotlib.pyplot as plt
from EA_components_OhGreat.EA import EA
from EA_components_OhGreat.Recombination import *
from EA_components_OhGreat.Mutation import *
from EA_components_OhGreat.Selection import *
from src.Evaluation import *
from src.N... | OhGreat/es_for_rl_experimentation | train_model.py | train_model.py | py | 9,142 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 96,
"usage_type": "attribute"
},
{
"api_name": "gym.make",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"lin... |
11231627750 | """
"""
# Email: Kun.bj@outlook.com
import collections
import copy
import json
import os
import pickle
import time
import traceback
from collections import Counter
from pprint import pprint
import numpy as np
from sklearn.preprocessing import StandardScaler
from fkm import vis
from fkm.cluster import centralized_min... | kun0906/fkm | fkm/_main.py | _main.py | py | 16,242 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 188,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
... |
35401554885 | from django.conf.urls import url,include
from . import views as app_v
from django.contrib.auth import views
from app.forms import LoginForm
urlpatterns = [
url(r'^$',app_v.index, name='home'),
url(r'^login/$', views.login, {'template_name': 'app/login.html', 'authentication_form': LoginForm}, name='login'),... | vigzmv/LetsPay | app/urls.py | urls.py | py | 1,050 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.login",
"line_number": 11,
"usage_type": "attribute"
},
{
"ap... |
20407034990 | import os
import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets, transforoms
device = 'cuda' if torch.cuda.is_available() else 'cpu'
print('Using {} device'.format(device))
class NeuralNetwork(nn.Module):
def __init__(self):
self.flatten = nn... | a1key/VisionAssignment2 | test/Module.py | Module.py | py | 2,569 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",... |
14566681748 | from django.urls import path, re_path
from django.contrib.auth.decorators import permission_required
from django.views.generic import RedirectView
from .feeds import PublishTrackFeed
from . import views
urlpatterns = [
path('', RedirectView.as_view(url='catalogue/', permanent=False)),
path('images/', views.i... | fnp/redakcja | src/documents/urls.py | urls.py | py | 3,056 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.views.generic.RedirectView.as_view",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.views.generic.RedirectView",
"line_number": 9,
"usage_type": "name"
},
... |
15989239821 | """
Handlers related to "reports" about students' activity - badge evidence pages
and badge issuing routines.
"""
from controllers.utils import BaseHandler, ReflectiveRequestHandler, XsrfTokenManager
from common import prefetch
import pprint
from models.roles import Roles
import re
from collections import defaultdict
f... | twiffy/eabooc | coursebuilder/modules/wikifolios/report_handlers.py | report_handlers.py | py | 34,512 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "controllers.utils.BaseHandler",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "controllers.utils.ReflectiveRequestHandler",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "wtforms.Form",
"line_number": 60,
"usage_type": "attribute"
},... |
16472183531 | import collections
import itertools
import json
import logging
import os
import pickle
import random
import numpy as np
from sklearn.model_selection import train_test_split
import config
from utils.utils import JsonlReader
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
lo... | IBM/aihn-ucsd | amil/preprocess/_4_splits.py | _4_splits.py | py | 19,985 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.... |
19856854666 | """
autoencoder.py
Autoencoder-style image generation model.
"""
import glob
import os
import tensorflow as tf
from matplotlib import pyplot as plt
from tqdm import tqdm
import models
from utils import gauss_kernel
class AutoEncoderGAN():
def __init__(self,
batch_size,
z_dim,
... | xaliceli/lemotif | image-models/autoencoder.py | autoencoder.py | py | 11,931 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "utils.gauss_kernel",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.train.AdamOptimizer",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 63,
"usage_type": "attribute"
},
{
... |
13161856150 | #coding: utf-8
import os
import time
import random
import jieba
import numpy as np
import matplotlib.pyplot as plt
from sklearn.naive_bayes import MultinomialNB
from sklearn.metrics import classification_report
from sklearn import tree, metrics
from sklearn import feature_extraction, model_selection
# 导入文本特征向量转化模块
from... | ilray88/python_ShuJuWaJueShiJian | 章节9-数据挖掘在中文文本分类中的应用/News-classification-master/News-classification-master/script/6.py | 6.py | py | 7,285 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": ... |
5511081889 | import numpy as np
import pandas as pd
from pydub import AudioSegment
import librosa
from tqdm import tqdm
import os
'''
loudness：响度，表示音频信号的振幅大小。
pitch_0, pitch_1, ...：基频，表示音频信号中的主要频率成分。这些列包含了不同时间节点上的基频信息。
chroma_0, chroma_1, ...：音调，表示音频信号中的音高信息。这些列包含了不同时间节点上的音调信息。
mfcc_0, mfcc_1, ...：梅尔频率倒谱系数（MFCC），表示音频信号中的频谱特性。这些列包含... | indecreasy/Bilibili_Audiovisual_Danmuku | videoCap/soundCap_1fps.py | soundCap_1fps.py | py | 11,617 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "pydub.AudioSegment.from_file",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.flo... |
22971648619 | import os
import json
import boto3
from itertools import groupby
def pprint_time(secs):
ret_str = ""
if secs >= 86400:
days = secs//86400
secs = secs % 86400
ret_str += f"{days} "
if days > 1:
ret_str += "days "
else:
ret_str += "day "
if secs >= 3600:
hours = secs // 3600
secs = secs % 3600
r... | IrisHub/iris-3-backend-prototypes | fns/utils.py | utils.py | py | 5,768 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.set_stream_logger",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 56,
"usage_type": "call"
}
] |
39245610548 | from flask import Flask, request,Response
from config.settings import format_url
from flask_sqlalchemy import SQLAlchemy
from schema.models import db
def create_app():
app = Flask(__name__)
app.config.from_object('config.settings')
app.config['SQLALCHEMY_DATABASE_URI'] = format_url('postgresql')
... | OKULLO/flask_api | app/run.py | run.py | py | 577 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "config.settings.format_url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "schema.models.db.init_app",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sche... |
28938445312 | import os
import torch
import functools
import yaml
import torch
from torch import nn
from torch.nn import init
import torch.nn.functional as F
from torch.utils import model_zoo
from networks.swinir import SwinIR
from networks.convnext import ConvNeXt
from networks.convnext import model_urls
import segmentation_mod... | thisisiron/dacon-sr | networks/__init__.py | __init__.py | py | 3,921 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "torch.cuda.device_count",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.save",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.save",
"... |
2735889585 | debug = True
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
from Cython.Compiler.Options import get_directive_defaults
import numpy as np
numpy_include_dir = np.get_include()
#cy_options = {
# 'annotate': True,
# 'compiler_directives': {
# ... | cwcurtis/Python_FMM_Project | setup.py | setup.py | py | 2,002 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.get_include",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Cython.Compiler.Options.get_directive_defaults",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Cython.Compiler.Options.get_directive_defaults",
"line_number": 25,
"usa... |
71104023784 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by i@BlahGeek.com at 2015-07-31
import yaml
import sys
if __name__ == '__main__':
data = yaml.load(open(sys.argv[1]).read(), Loader=yaml.FullLoader)
body = open(sys.argv[2]).read()
data['body'] = body
with open(sys.argv[1], 'w') as f:
f.w... | blahgeek/blog.blahgeek.com | scripts/posts_addbody.py | posts_addbody.py | py | 368 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "yaml.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "yaml.FullLoader",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
16608477822 | import requests
import json
import sqlite3
# მოაქვს მარსზე გადაღებული ფოტოები კონკრეტული თარიღის მითითებისას. მონაცემები იწერება json ფაილსა და მონაცემთა ბაზაში.
key = '6A7O2ghhDhKe1fBnNVDuVglIz04poXa3c1VJDlm7'
date = input("Enter the date in YYYY-M-D format: ")
payload = {'earth_date': date, 'api_key': key}
u... | AnaGagnidze/Quiz3 | Quiz3. AG.py | Quiz3. AG.py | py | 2,374 | python | ka | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 19,... |
13000663213 | import os
import pytest
import yaml
@pytest.fixture
def zuul_data():
data = {}
with open('/home/zuul/src/github.com/opentelekomcloud-infra/system-config/inventory/base/gate-hosts.yaml') as f:
inventory = yaml.safe_load(f)
data['inventory'] = inventory
zuul_extra_data_file = os.environ.ge... | opentelekomcloud-infra/system-config | testinfra/conftest.py | conftest.py | py | 531 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "yaml.safe_load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"l... |
9193917776 | import torch
import torch.nn as nn
def _get_simclr_projection_head(num_ftrs: int, out_dim: int):
"""Returns a 2-layer projection head.
Reference (07.12.2020):
https://github.com/google-research/simclr/blob/master/model_util.py#L141
"""
modules = [
nn.Linear(num_ftrs, num_ftrs),
#... | tibe97/thesis-self-supervised-learning | lightly/models/simclr.py | simclr.py | py | 3,319 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.nn.Linear",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": ... |
18924234195 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver import ActionChains
import time
class MouseHovering():
def test1(self):
baseUrl = "https://letskodeit.teachable.com/pages/practice"
driver = webdriver.Firefox()
driver.maximize_window()
... | PacktPublishing/-Selenium-WebDriver-With-Python-3.x---Novice-To-Ninja-v- | CODES/S24 - Selenium WebDriver -_ Working With Actions Class/1-mouse-hovering.py | 1-mouse-hovering.py | py | 1,053 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.web... |
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