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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
40133363615 | from collections import deque
dx = [-1, 1, 0, 0]
dy = [0, 0, -1, 1]
def nextspots(board, pos, n):
nextspots = []
pos = list(pos)
x1, y1, x2, y2 = pos[0][0], pos[0][1], pos[1][0], pos[1][1]
for i in range(4): # ์ํ์ข์ฐ
nx1, ny1 = x1 + dx[i], y1 + dy[i]
nx2, ny2 = x2 + dx[i], y2 + dy[i]
... | Woojung0618/algorithmSolve | Programmers/Lv3/๋ธ๋ก์ด๋ํ๊ธฐ.py | ๋ธ๋ก์ด๋ํ๊ธฐ.py | py | 1,594 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 31,
"usage_type": "call"
}
] |
29123820566 | import os
import posixpath
import errno
import json
import resource
import sys
import shutil
import textwrap
import urllib.parse
import urllib.request
import warnings
import logging
# External modules
import click
import yaml
# We import botocore here so we can catch when the user tries to
# access AWS without having ... | nchammas/flintrock | flintrock/flintrock.py | flintrock.py | py | 45,036 | python | en | code | 629 | github-code | 1 | [
{
"api_name": "sys._MEIPASS",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
... |
25515562168 | import pyautogui, time
print("A simple text spam bot that types a massage and presses enter")
print("word mode =w copy and paste mode =c self enter mode =t")
mode = input("word or copy and paste mode? ")
def modet():
text = input("Entere a text to spam: ")
num = int(input("Enter a num:"))
time.slee... | Kn0spi/Spam_Bot | spam_bot.py | spam_bot.py | py | 1,084 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyautogui.typewrite",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyautogui.press",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_... |
5059822920 | from __future__ import annotations
from dataclasses import dataclass, field
from math import ceil
from pathlib import Path
from typing import TYPE_CHECKING, Any, overload
from vstools import (
MISSING, CustomRuntimeError, FileWasNotFoundError, MissingT, core, expect_bits, get_user_data_dir, get_video_format,
... | jiaolovekt/HPCENC | deps/vs-plugins/vsscale/shaders.py | shaders.py | py | 6,240 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "helpers.GenericScaler",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "dataclasses.fiel... |
35385777411 | from ast import Return
from enum import auto
import json
from lib2to3.pgen2 import token
from multiprocessing.util import abstract_sockets_supported
from textwrap import wrap
from flask import Flask, jsonify, request, make_response
from SQLalchemy import Autor, Postagem, db
import jwt
from datetime import datetime,time... | Glauberorionslt/apiblog-devaprender | app.py | app.py | py | 8,266 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lib2to3.pgen2.token",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "flask.request.headers",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
21619963342 | import threading
import time
import urllib
from collections import deque
import discord
import cogs.voice_lib.mkvparse as mkvparse
import logging
# dumb buffer stuff
import io, queue, subprocess
class Handler(mkvparse.MatroskaHandler):
def __init__(self, packet_buffer):
self.packet_buffer = packet_buf... | biglizards/butty | cogs/voice_lib/parser.py | parser.py | py | 4,677 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "cogs.voice_lib.mkvparse.MatroskaHandler",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cogs.voice_lib.mkvparse",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"a... |
29673261055 | # -*- coding: utf-8 -*-
"""Server for the Raspi Webapp
Examples:
- get json with curl -> curl -X POST http://0.0.0.0:2828/api/v1/getCrashInfo -d data/1.json
- get image with curl -> curl -X POST http://0.0.0.0:2828/api/v1/getCrashImage -o received_img.png
"""
import sys
sys.path.append('..')
import os
import signal
imp... | tschibu/starthack-asimov | src/server.py | server.py | py | 3,244 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sanic.Sanic",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "helper.log_helper.get",
"... |
72860061154 | from bs4 import BeautifulSoup
from django.test import TestCase, Client
from django.contrib.auth.models import User
from .models import Post, Category, Tag
# <6. ํ
์คํธ ์ฃผ๋ ๊ฐ๋ฐ>
# pip install beautifulsoup4 ๋ก beautifulsoup4 ์ค์นํ๊ณ ์ฌ์ฉ
# 1. python manage.py test ํ
์คํธ ํ๋ ๋ช
๋ น์ด
# 2. blog/test.py์ TestCase๋ฅผ ์์๋ฐ๊ณ ์ด๋ฆ์ด 'Test'๋ก ์ใ
ใ
์ํ๋ ... | devMooon/internet-programming | ๊ณผ์ /10์ฃผ์ฐจ/์ปดํจํฐ๊ณตํ์ ๊ณต20200675๋ฌธ์์ฐ_tests.py | ์ปดํจํฐ๊ณตํ์ ๊ณต20200675๋ฌธ์์ฐ_tests.py | py | 11,826 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "django.test.TestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 19,
"usage_type": "call"
}... |
10604830299 | from datetime import datetime
def compare_dateprices(dp_a, dp_b, initial=True):
date_a, date_b = dp_a[0], dp_b[0]
if initial:
best_dp = dp_a if date_a <= date_b else dp_b
else:
best_dp = dp_a if date_a > date_b else dp_b
return best_dp
if __name__ == "__main__":
date1 = datetim... | sullyD64/bigdata-2019 | project1/src/spark/misc/tests.py | tests.py | py | 552 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
26398264145 | from copy import deepcopy
from utils import *
from test import test_all
from c45 import max_gain
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, precision_recall_curve
def build_tree(T):
"""
An entry point in C45 algorithm.
_T_ - a two-dimensional array represen... | buffer404/university | year3/Artificial intelligence systems/lab3/main.py | main.py | py | 2,684 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "c45.max_gain",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "matplot... |
17599914288 | import json
useDebugPrint = False
class Bets():
def __init__(self, bot, chatpointsObj, chateventsObj, jsonpath):
self.bot = bot
self.chatpointsObj = chatpointsObj
self.chateventsObj = chateventsObj
self.jsonpath = jsonpath
self.bets = {}
try:
with open(... | Petricpwnz/NyAI | modules/bet.py | bet.py | py | 9,192 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 67,
"usage_type": "call"
}
] |
1374574117 | import torch
from tqdm import tqdm
from tabulate import tabulate
from collections import OrderedDict
from torch.nn import functional as F
from HDG.engine.trainer import GenericNet
from HDG.utils import count_num_parameters, evaluator, TripletLoss
from HDG.engine import TRAINER_REGISTRY, GenericTrainer
from HDG.optim im... | VirtueZhao/HDGC | HDG/engine/baseline/CrossGrad.py | CrossGrad.py | py | 5,587 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "HDG.engine.GenericTrainer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "HDG.engine.trainer.GenericNet",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "HDG.optim.build_optimizer",
"line_number": 29,
"usage_type": "call"
},
{
... |
17977945273 | from models.Project import Project
from main import db
from flask import Blueprint, request, render_template, redirect, url_for, flash
from flask_login import login_required, current_user
projects = Blueprint('projects', __name__, url_prefix='/projects')
@projects.route('/', methods=['GET'])
def project_index():
... | eric-chew/T4A2-B | src/controllers/projects_controller.py | projects_controller.py | py | 3,040 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Project.Project.query.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Project.Project.query",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
23164192729 | import geopandas as gp
import shapely
def intersection(left, right, grid_size=0):
"""Intersect the geometries from the left with the right.
New, intersected geometries are stored in "geometry_right".
Uses spatial index operations for faster operations. Wholly contained
geometries from right are cop... | astutespruce/secas-blueprint | analysis/lib/geometry/intersection.py | intersection.py | py | 1,867 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "shapely.STRtree",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "shapely.prepare",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "shapely.contai... |
32308460282 | import os
from flask import jsonify, request
import requests
def getWeather():
try:
API_KEY = os.getenv("API_KEY")
args = request.args
lon = str(args.get('lon'))
lat = str(args.get('lat'))
url = f'https://api.openweathermap.org/data/2.5/weather?lat={lat}&lon={lon}&a... | HarshxiT/Krishi-Network | apps/weather/controller.py | controller.py | py | 492 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line... |
4836908083 | ##########################################
# @subject : Person segmentation #
# @author : perryxin #
# @date : 2018.12.27 #
##########################################
import torch.utils.data as Data
from read_data import *
from config import *
from models.unet_plusplus im... | hellopipu/person_seg | test.py | test.py | py | 2,579 | python | en | code | 15 | github-code | 1 | [
{
"api_name": "torch.utils.data.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.utils.data",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.ut... |
39424860660 | import cv2
import io
import os
from google.cloud import vision
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = ".." #put your google API credintials here
# Instantiates a client
client = vision.ImageAnnotatorClient()
#folder = "/uploads/"
class Image():
def __init__(self):
self.labels = []
self... | yahyaakli/spring2021hackathon | src/Image.py | Image.py | py | 2,347 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.vision.ImageAnnotatorClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "google.cloud.vision",
"line_number": 11,
"usage_type": "name"
},
{
"api_n... |
71291623714 | import gensim
from sklearn import svm
from sklearn import datasets
from sklearn.feature_extraction.text import TfidfVectorizer
from joblib import dump, load
import flask
from flask_restful import Resource, Api, reqparse
from flask import request
from functools import partial
from flask import request, jsonify
... | themorlock/SearchMart | RestAPI/api.py | api.py | py | 2,142 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gensim.models",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "joblib.loa... |
35990658808 | """
This module is used to store the methods for setting up the NSX-T XUI
"""
import json
import os
from os import path
from packaging import version
from cbhooks.models import CloudBoltHook
from servicecatalog.models import ServiceBlueprint
from resourcehandlers.models import ResourceHandler
from xui.nsxt.... | mbomb67/cloudbolt_samples | cloudbolt_content/ui-extension-packages/nsxt/config.py | config.py | py | 6,538 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "utilities.logger.ThreadLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.abspath... |
26597485464 | import pdb, argparse
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision as thv
from torchvision import transforms
from torch.utils.data import Dataset, DataLoader
from CarlaDataset import CarlaDataset
from CVAE import CVAE
from siameseC... | klaywittler/latent-map-planning | model/train_siamese.py | train_siamese.py | py | 1,675 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "siameseCVAE.siameseCVAE",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
... |
70028298274 | #!/bin/python
import argparse
import numpy as np
import pandas as pd
import time
import json
from datetime import datetime, timedelta
from confluent_kafka.avro import AvroProducer
def parse_args():
parser = argparse.ArgumentParser(description='Publish CSV records to a Kafka topic.')
parser.add_argument('--de... | brunoribeiro2k/movielens-events | src/main/python/publish-ratings.py | publish-ratings.py | py | 3,929 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.... |
132504097 | import random
import sys
import threading
import time
from multiprocessing import Process
import zmq
import requests
from Crypto.Hash import SHA3_256
from Crypto.PublicKey import ECC
from Crypto.Signature import DSS
from Pyro4.util import json
n = int(sys.argv[2])
t = int(sys.argv[4])
endpoint = "htt... | Arda-Yurdakul/CS403-Term-Project | peers2.py | peers2.py | py | 2,651 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "threading.Lock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"li... |
72059863395 | from esphome.components import number
from esphome.const import CONF_MAX_VALUE, CONF_MIN_VALUE, CONF_STEP
import esphome.config_validation as cv
import esphome.codegen as cg
from .. import fourheat_config_validation as fhcv
from .. import (
fourheat_ns,
CONF_DATAPOINT,
CONF_FOURHEAT_ID,
CONF_PARSER,
... | leoshusar/4heat-esphome | components/fourheat/number/__init__.py | __init__.py | py | 1,960 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "esphome.components.number.Number",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "esphome.components.number",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "esphome.codegen.Component",
"line_number": 19,
"usage_type": "attribute"
... |
32100442579 | from ase import Atoms
import numpy as np
atoms = Atoms(['O', 'H', 'H'], positions=[[0., 0., 0.119262],
[0., 0.763239, -0.477047],
[0., -0.763239, -0.477047]])
# Angle no pbc
assert abs(atoms.get_angle(1, 0, 2) - 104) < 1e-3
atoms.set... | joliesla/Material-modelling | venv/Lib/site-packages/ase/test/atoms_angle.py | atoms_angle.py | py | 1,046 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "ase.Atoms",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 25,
... |
15201921852 | from argparse import ArgumentParser, HelpFormatter
import itertools
import sys
from pathlib import Path
# ============================================================================================================
# === DTN ARGUMENT PARSER CLASSES
# ====================================================================... | msancheznet/dtnsim | simulator/utils/DtnArgumentParser.py | DtnArgumentParser.py | py | 3,255 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "argparse.HelpFormatter",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "itertools.cha... |
41617267146 | """ Assignment 6 performance of Mango
"""
from ast import stmt
from pathlib import Path
import csv
import pathlib
from timeit import repeat, timeit as timer
import main
import users
import user_status
import pymongo
import pandas as pd
import random
import string
import time
import socialnetwork_model
... | smichalove/Python320_University_of_Washington | time_mongo.py | time_mongo.py | py | 13,262 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "string.ascii_lowercase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pathlib.Pa... |
36365558628 | import os
import logging
"""
่ฏปๅๆไปถๅฝๆฐ
"""
# ------------------------------
logging.basicConfig(
level=logging.DEBUG,
format="\033[37m[%(asctime)s] [%(pathname)s] (%(levelname)s-็ฌฌ%(lineno)d่ก) \n%(message)s\033[0m")
# ------------------------------
def open(self, all): # ่ฏปๅๆไปถๅคนๅ
ๆไปถ # ่พๅ
ฅ่ทฏๅพ
"""
:param se... | ramchan1988/HUMEI1 | os_file.py | os_file.py | py | 1,512 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line... |
46241357 | import logging
import os
import click
import pandas as pd
import tqdm
from mol_dyn.pipeline import pipeline
from mol_dyn.utils import load_smiles_csv
@click.command()
@click.option("--smiles_csv", required=True, help="Smiles csv")
@click.option("--output_folder", required=True, help="Output folder")
@click.option("-... | rxn4chemistry/rxn-ir-to-structure | scripts/run_md_pipeline.py | run_md_pipeline.py | py | 3,122 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "mol_dyn.utils.load_smiles_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "tqdm.tq... |
31525145901 | # -*- coding:utf-8 -*-
import pandas as pd # for data handling
import numpy as np # for random selections, mainly
import matplotlib.pyplot as plt # for plotting
import matplotlib
from sklearn.datasets.samples_generator import make_blobs
from sklearn.tree import DecisionTree... | Batman001/pu-learning-demo | PU-Learning-Test-Blob.py | PU-Learning-Test-Blob.py | py | 11,230 | python | zh | code | 2 | github-code | 1 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
26914970028 | #!/usr/bin/env python3
import os
import click
import hashlib
import imageio
from .jpeg import *
import subprocess as sp
from pathlib import Path
from contextlib import suppress
from multiprocessing import cpu_count
import concurrent.futures
cache_dir = Path.home() / '.cache/glitch-art-display'
cache_dir.mkdir(exist_... | TheTechromancer/glitch-art-display | glitch_art_display/main.py | main.py | py | 8,331 | python | en | code | 12 | github-code | 1 | [
{
"api_name": "pathlib.Path.home",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.walk",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numbe... |
70873192355 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from os import listdir,path,curdir
from os.path import isfile, join
import re
import shutil
import pandas as pd
from sklearn.model_selection import train_test_split
import csv
import random
root = "/data01/ML/dataset/FACE_CLASSIFIER"
face_image_path = "/data01/ML/dataset/FACE_... | lorenzo-stacchio/You-Only-Crop-Faces | support_scripts/balance_dataset_face_classifier.py | balance_dataset_face_classifier.py | py | 6,301 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_numb... |
12046323109 | import sklearn
import joblib
import cv2
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import albumentations
from torch.utils.data import Dataset, DataLoader
from PIL import Image
import time
import firebase_admin
from firebase_admin import credentials
from firebase_admin import f... | Abdelazizmuhmd/drowning-detection | projectjetson/jetson.py | jetson.py | py | 3,581 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 16,
"usage_type": "call"... |
12000905328 | # -*- coding: utf-8 -*-
"""Classes for lidar ratio related db tables"""
from ELDAmwl.database.tables.db_base import Base
from sqlalchemy import Column
from sqlalchemy import DECIMAL
from sqlalchemy import INTEGER
from sqlalchemy import text
class ExtBscOption(Base):
"""content of the db table ext_bsc_options
... | actris-scc/ELDAmwl | ELDAmwl/database/tables/lidar_ratio.py | lidar_ratio.py | py | 1,249 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "ELDAmwl.database.tables.db_base.Base",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.INTEGER",
"line_number": 19,
"usage_type": "argument"
},
{
"api... |
4851164907 | # -*- coding: utf-8 -*-
import itertools
from flask import url_for
from flask_mail import Message
import query_phenomizer
from scout.constants import (CASE_STATUSES, PHENOTYPE_GROUPS, COHORT_TAGS)
from scout.models.event import VERBS_MAP
from scout.server.utils import institute_and_case
STATUS_MAP = {'solved': 'bg-s... | gitter-badger/scout | scout/server/blueprints/cases/controllers.py | controllers.py | py | 6,194 | python | en | code | null | github-code | 1 | [
{
"api_name": "scout.constants.CASE_STATUSES",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "scout.constants.CASE_STATUSES",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "itertools.chain",
"line_number": 58,
"usage_type": "call"
},
{
"api_n... |
15362469033 | import click
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
def get_wiki_vocab(file):
"""
Build a vocabulary from Wikipedia articles.
Parameters
----------
file : str
File path to Wikipedia article text
Returns
----... | bllguo/KSI | vectorize_data.py | vectorize_data.py | py | 6,602 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 177,
"usage_type": "call"
},
{
"api_name": "numpy.save",
"line_number": 178,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 204,
"usage_type": "call"
},
{
"api_nam... |
36170482691 | import time
from typing import List, Tuple, Iterable
from volatility3.framework import constants, interfaces, layers, symbols
from volatility3.framework.configuration import requirements
from volatility3.framework.interfaces import plugins
from volatility3.framework.renderers import TreeGrid
from volatility3.framework... | volatilityfoundation/volatility3 | volatility3/framework/plugins/windows/info.py | info.py | py | 9,625 | python | en | code | 1,879 | github-code | 1 | [
{
"api_name": "volatility3.framework.interfaces.plugins.PluginInterface",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "volatility3.framework.interfaces.plugins",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "volatility3.framework.configuration.requir... |
87462737 | # https://skyeong.net/186
import numpy as np
from sklearn.datasets import fetch_openml
mnist = fetch_openml("MNIST_784")
X = mnist.data / 255.0
y = mnist.target
print (X.shape, y.shape)
import pandas as pd
feat_cols = ['pixel'+str(i) for i in range(X.shape[1]) ]
df = pd.DataFrame(X,columns=feat_cols)
df['label']... | humanscape-sean/TSNE-on-Video-Iframes | tsne_mnist_example.py | tsne_mnist_example.py | py | 1,113 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.datasets.fetch_openml",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random.permutation",
"line_number": 26,
"usage_type": "call"
},
{
"api_name":... |
11435870647 | # TEORIA:
'''
# importa o pygame
import pygame
# inicializa o modulo do pygame
pygame.init()
# definindo o tamanho da tela para o Pygame
dis_width = 600 # largura
dis_height = 400 # altura
dis = pygame.display.set_mode((dis_width,dis_height))
red = (219, 31, 31)
green = (44, 219, 31)
squareSize = 20
circleRadius =... | fabiodm7/stuPy | intro/game.py | game.py | py | 7,319 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pygame.display.init",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.init"... |
24657287989 | from django.db import models
# Create your models here.
class Category(models.Model):
name = models.CharField(max_length=200)
class Product(models.Model):
title = models.CharField(max_length=300)
description = models.TextField()
price = models.DecimalField(decimal_places=2, max_digits=10)
image ... | AbhishekBose89/Asssignment35-Q1-AbhishekBose | shoplane/restapi/models.py | models.py | py | 500 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
28986490606 | import sqlite3
class SQLiteProfileImage():
def __init__(self):
def dict_factory(cursor, row):
d = {}
for idx, col in enumerate(cursor.description):
d[col[0]] = row[idx]
return d
dbname = "/sqlite/profile_image.db"
self.conn = sqlite3.conn... | minegishirei/flamevalue | trashbox/django3/app/flamevalue/my_SQLite_Profile.py | my_SQLite_Profile.py | py | 1,326 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
}
] |
72933516193 | # *_* coding : UTF-8 *_*
# author ๏ผ Leemamas
# ๅผๅๆถ้ด ๏ผ 2021/9/28 0:30
import pygame
class Cointext():
def __init__(self,rect,reward,bshape):
self.images = [pygame.image.load('images/coinText.png').subsurface(i*36, 0, 36, 49) for i in range(0, 11)]
self.rect=rect
self.reward=reward
... | leemamas/fishgame | coinText.py | coinText.py | py | 701 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "pygame.image.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 8,
"usage_type": "attribute"
}
] |
39077417661 | import os
import requests
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor
os.system("mode con cols=130 lines=4")
user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
headers = {
'User-Agent': user_agent
}
... | ElRizeru/dota2picker | update.py | update.py | py | 2,657 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.system",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numb... |
25476839440 | #!/usr/bin/env python3
import re
import json
from pprint import pprint
from argparse import ArgumentParser
from json import JSONDecodeError
from subprocess import call
import urllib
from os.path import expanduser
from urllib.parse import urlparse
import requests
import sys
from past.builtins import raw_input
# call w... | JosXa/twitch-native-streaming | twitch/twitch.py | twitch.py | py | 4,750 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.expanduser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "json.dump",
"li... |
37336242441 | from math import pi
import pandas as pd
from bokeh.layouts import gridplot,row
from bokeh.io import output_file, save
from bokeh.palettes import Category20c
from bokeh.plotting import figure
from bokeh.transform import cumsum
from bokeh.palettes import Spectral6
from bokeh.transform import factor_cmap
def chart():
ou... | dj5/Plastic-Waste-Profiling | Profilling tools/chart2.py | chart2.py | py | 1,631 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "bokeh.io.output_file",
"line_number": 12,
"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": "pandas.read_csv"... |
2738595022 | from django.http import HttpResponse, HttpResponseForbidden
from django.shortcuts import render, redirect, get_object_or_404
from django.db.transaction import atomic, non_atomic_requests
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from ipaddress import ip_a... | Wizard-Fingerz/GreenPurseBackend | payment/views.py | views.py | py | 10,164 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "api.WalletsClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.ENCRYPTION_KEY",
"line_number": 23,
"usage_type": "attribute"
},
{
... |
6275958376 | #!/usr/local/bin/python
# coding: utf-8
"""
ะฒ ััะพะผ ัะฐะนะปะต ะฟัะธะผะตั ัะพะทะดะฐะฝะธั ัะพะฑััะฒะตะฝะฝะพะณะพ ะฟะตัะตัะธัะปะธะผะพะณะพ ัะธะฟะฐ ะฒ ะฟะธัะพะฝะต
ัะฐะบ ะบะฐะบ ะฒัััะพะตะฝะฝะพะณะพ ะผะตั
ะฐะฝะธะทะผะฐ ะฝะตั, ะฟะตัะตัะธัะปะธะผัะต ัะธะฟั ัะพะทะดะฐัััั ะบะฐะบ ะฝะฐัะปะตะดะฝะธะบะธ ะบะปะฐััะฐ
Enum ะธะท ะผะพะดัะปั enum
"""
import enum
@enum.unique # ะฝะต ะฟัะพะฟัััะธั ะพะดะธะฝะฐะบะพะฒัั
ะทะฝะฐัะตะฝะธะน
class Numbers(enum.IntEnum):
"... | amtsu/team22 | users/sivanov/lessons/lesson_27_enum/incrementing_intenum.py | incrementing_intenum.py | py | 2,382 | python | ru | code | 5 | github-code | 1 | [
{
"api_name": "enum.IntEnum",
"line_number": 12,
"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": ... |
25889695431 | # Custom module to assess performance of ML model
# Author: Rupinder Singh (Oct. 25, 2016)
from __future__ import division
import matplotlib.pyplot as plt
from sklearn.metrics import auc,r2_score
import numpy as np
import pandas as pd
from scipy.stats import sem
from mpl_toolkits.axes_grid1 import make_axes_locatable
... | rupndrsingh/predictions-mvc | pLib/rs_model_metrics.py | rs_model_metrics.py | py | 22,722 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.Series",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.classificat... |
38776541163 |
def load_and_display(file_index,mode='both'):
filename = get_image_filename(file_index)
import pickle
import numpy as np
image = pickle.load( open( filename, "rb" ) )
if mode == 'both':
display_image(image)
else:
# Reconstruct the original rgb and depth images from the merged v... | andrew-houghton/self-driving-donkey-car | Utility code/utilities.py | utilities.py | py | 4,122 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.split",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.merge",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.merge",
"line_number": 18,
... |
11981080026 | from decimal import Decimal
from django.db import models
from django_countries.fields import CountryField
class Partner(models.Model):
uid = models.AutoField(primary_key=True)
partner_id = models.CharField(
max_length=3,
unique=True,
error_messages={"unique": "This Partner ID is alrea... | yezz123/My-Business | partners/models.py | models.py | py | 2,687 | python | en | code | 45 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
13461593976 | from typing import Dict, List, Union
import numpy as np
import torch
from src.utils.utils import shift_lang_token_right
class BatchCollator:
def __init__(self,
is_mlm: bool = False,
shift_lang_token: bool = False,
return_special_masks: bool = False,
... | RistoAle97/ContinualNAT | src/data/collators.py | collators.py | py | 8,618 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "torch.cat",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "src.utils.utils",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "src.utils.utils.new",
"line... |
31208597289 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
author comger@gmail.com
"""
import sys
import json
sys.path.append('../../')
from datetime import datetime
from pprint import pprint
from kpages import run
def callback(app):
print("Start time: {0}".format(datetime.now().isoformat(" ")))
print("Config Par... | comger/kpages | demos/web/apprun.py | apprun.py | py | 748 | python | en | code | 23 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
28541279468 | import csv
import matplotlib.pyplot as plt
'''
Get a list of keys from dictionary which has value that matches with any value in given list of values
'''
def getKeysByValues(dictOfElements, value):
listOfKeys = list()
listOfItems = dictOfElements.items()
for item in listOfItems:
if item[1] == valu... | aquarios77/python | 2021-04-08/temp_udz.py | temp_udz.py | py | 1,161 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot... |
23463756424 | #!/usr/bin/python3
"""Advanced API.
***This is an advanced task***
For this task, we'll recursively call the Reddit API,
parse the titles of all hot articles and return a sorted
count of given keywords(case-sensitive, delimited by
spaces).
Note:
1. No iteration!
2. If `word_list` contains duplicates, then the... | brian-ikiara/alx-system_engineering-devops | 0x16-api_advanced/100-count.py | 100-count.py | py | 2,452 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 42,
"usage_type": "call"
}
] |
10927245542 | import requests
from auth import get_auth_data
from req import consumer_key
auth = get_auth_data()
def add_bookmark(url, title):
res = requests.post("https://getpocket.com/v3/add", json={
"url": url,
"title": title,
"consumer_key": consumer_key,
"access_token": auth["access_token"],
})
if res.status_code... | gebeto/python | pocket-py/api.py | api.py | py | 397 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "auth.get_auth_data",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "req.consumer_key",
"line_number": 12,
"usage_type": "name"
}
] |
11811149957 | import nested_admin
from django.contrib import admin
from cms.contexts.admin import AbstractCreatedModifiedBy
from . models import NavigationBar, NavigationBarItem, NavigationBarItemLocalization
class NavigationBarItemLocalizationInline(nested_admin.NestedStackedInline):
model = NavigationBarItemLocalization
... | UniversitaDellaCalabria/uniCMS | src/cms/menus/admin.py | admin.py | py | 2,075 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "nested_admin.NestedStackedInline",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.NavigationBarItemLocalization",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "nested_admin.NestedStackedInline",
"line_number": 15,
"usage_typ... |
24284540158 | """Bolted Entity Manager"""
from collections.abc import Mapping, MutableMapping
import logging
from typing import Any, Optional
import homeassistant.helpers.device_registry as hass_device_registry
import homeassistant.helpers.entity_registry as hass_entity_registry
from homeassistant.helpers.restore_state import (
... | dlashua/bolted | custom_components/bolted/entity_manager.py | entity_manager.py | py | 6,631 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "logging.Logger",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "homeassistant.helpers.entity_registry.async_get",
"line_number": 32,
"usage_type": "call"
},
{
... |
31278852115 | """
Center crop all the source images down to 512x512
"""
from PIL import Image
from PIL import ImageOps
import os
SOURCE_DIR = "source_images_blur"
OUT_DIR = "cropped_images_blur"
WIDTH = 512
HEIGHT = 512
for f in os.listdir(SOURCE_DIR):
im = Image.open(os.path.join(SOURCE_DIR, f))
# resize image
w, h ... | cpsiff/stable_diffusion | crop.py | crop.py | py | 847 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number":... |
20667232591 | # ์จ๋ฐ๊ผญ์ง 1์ฐจ์ bfs๋ก next x ๊ฐ์ x-1,x+1,x*2 ๋น๊ตํด์ฃผ๋ฉด์ ๋ค์๊ฐ์ +1์ฉ
from collections import deque
import sys
input=sys.stdin.readline
n,k=map(int,input().split())
graph=[0]*100001
def bfs(n):
queue=deque()
queue.append(n)
while queue:
x=queue.popleft()
if x==k:
return graph[x]
for nx in (x-1,x+1,x*2):
... | jeongkwangkyun/algorithm | BFS/1697.py | 1697.py | py | 465 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
9529021289 | """add original_taxa_id_to_taxa
Revision ID: 6938832cbce2
Revises: 24bc88e66a5b
Create Date: 2020-10-16 04:57:24.178833
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '6938832cbce2'
down_revision = '24bc88e66a5b'
branch_labels = None
depends_on = None
def up... | eODP/api | migrations/versions/6938832cbce2_add_original_taxa_id_to_taxa.py | 6938832cbce2_add_original_taxa_id_to_taxa.py | py | 863 | python | en | code | 0 | github-code | 1 | [
{
"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.Integer... |
3428235704 | import difflib
import re
from typing import Literal, TypedDict
import nltk
def segment_sentences_with_nltk(text: str) -> list[str]:
sent_detector = nltk.data.load("tokenizers/punkt/german.pickle")
return list(sent_detector.tokenize(text.strip()))
_PUNCTUATION_IN_MIDDLE_RE = re.compile("([\\w\\s,;:\\-]*)([?... | mulasik/wta | wta/utils/nlp.py | nlp.py | py | 8,344 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "nltk.data.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number"... |
34366237651 | # coding=utf-8
"""Constantes of ZETA Games first App"""
import pygame as pg
import numpy as np
from subprocess import Popen, PIPE
from threading import Thread
from subprocess import call
# Personnalisation de la fenรชtre
titre_fenetre = "ZETA GAMES"
image_icone = "images/zeta.png"
w_display = 480
h_display = 270
pg.f... | zeta-technologies/workIP | constantes.py | constantes.py | py | 4,460 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.font.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Font",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "pygame.font",
... |
23854783061 | """
Gene Neighborhoods
___________________
"""
import logging
import click
from dram2.cli.context import DramContext, DEFAULT_KEEP_TMP, __version__
def find_neighborhoods(
annotations, genes_from_ids, distance_bp=None, distance_genes=None
):
# get neighborhoods as dataframes
neighborhood_frames = list(... | rmFlynn/collection_of_typical_ocoli_samples | dram2/neighbors/__init__.py | __init__.py | py | 5,720 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.Logger",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "logging.info",
"li... |
7955053783 | from selenium import webdriver
from commom.BaseTest import Base1
from utils.ReadProperties import Read
from commom.WebDriverEngine import WebDriverEngine
from commom.ElementFinder import ElementFinder
import time
from selenium.webdriver.common.keys import Keys
import unittest
from utils.HTMLTestRunnerEN import HTMLTest... | King-BAT/RanZhi | RanZhiPython/testcase/ranzhi_test.py | ranzhi_test.py | py | 3,045 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "commom.WebDriverEngine.WebDriverEngine",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "commom.WebDriverEngine.WebDriverEngine",
"line_number": 16,
"usage_type": "... |
35268565961 | # A program that will list counties and use probability function to output theres possible frequency.
# Author: Ryan Cox
import numpy as np
import matplotlib.pyplot as plt
# make the array of occurences
possibleCounties = ["Kerry", "Dublin", "Galway", "Cork", "Meath"]
# Random.choice() is a probability function. ... | RYANCOX00/programming2021 | Week08-Plotting/Lab8.11.2.ABSolution.py | Lab8.11.2.ABSolution.py | py | 856 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.... |
73911033314 | import sys
import os
import json
import glob
sys.path.append(
os.path.join(
os.path.dirname(os.path.realpath(__file__)),
'../python/ext-libs'))
from six import string_types
cpp = open(sys.argv[1], "w")
cpp.write(
"#include \"qgsexpression.h\"\n"
"\n"
"QHash<QString, QgsExpression::Hel... | nextgis/nextgisqgis | scripts/process_function_template.py | process_function_template.py | py | 4,209 | python | en | code | 27 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
74391649314 | # -*- coding: utf-8 -*-
import functools
#ๅไธไธชๅฝๆฐ่ฃ
้ฅฐๅจ๏ผๆฅ็ผๅญๅฝๆฐ็ๅผ
def cache(func):
cache_dict = {}
# @functools.wraps(func)
def wrapper(*args, **kwargs):
key = repr(*args, **kwargs)
if key in cache_dict:
return cache_dict[key]
else:
#ไฝฟ็จcache_dict็ผๅญๅไธไธชsql็็ปๆ
... | hello-wn/python-basic-scripts | 20180425/use_decorator_cacheValue.py | use_decorator_cacheValue.py | py | 943 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "functools.update_wrapper",
"line_number": 18,
"usage_type": "call"
}
] |
34640319155 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from rest_framework import serializers
from database.models import CollectionItemType
from rest.serializers.object_types import items
from . import types
from rest.serializers.object_types import events
from rest.serializers.object_types import mime_ty... | CONABIO-audio/irekua | irekua/rest/serializers/object_types/data_collections/items.py | items.py | py | 2,281 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "database.models.CollectionItemType",
"line_number": 17,
"usage... |
17340264805 | import re
from datetime import datetime
import requests
from src import utils
from src.connectors import KafkaClient, PostgreSQLConnector
class SitesAvailability:
"""
A class that fetches metrics from various sites & produces records to Apache Kafka.
Also, it consumes produced records from Kafka and sin... | cnatsis/sites-availability | src/SitesAvailability.py | SitesAvailability.py | py | 3,705 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "src.connectors.KafkaClient",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "src.utils.read_file_to_list",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "src.utils",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "src.... |
22193624498 | import openai
from src.models import ModelFinder
from src.ai.config import CODE_DEFAULT_MAX_TOKENS, CODE_DEFAULT_TEMPERATURE
class CodePromptResult:
def __init__(self, result: str, used_tokens: int) -> None:
self.result = result
self.used_tokens = used_tokens
def code_prompt(
input: str,
... | AgustinMDominguez/Prompt | prompter/src/ai/code.py | code.py | py | 825 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "src.ai.config.CODE_DEFAULT_TEMPERATURE",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "src.ai.config.CODE_DEFAULT_MAX_TOKENS",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "openai.Completion.create",
"line_number": 20,
"usage_type": ... |
37205546104 | # -*- coding: UTF-8 -*-
import pyee
import logging
import asyncio
import coloredlogs
from enum import Enum
from utils import MockTimeout
from models import dict2obj
from client_network import ClientNetwork
# Format colors in loggers
coloredlogs.DEFAULT_FIELD_STYLES['levelname']['color'] = 'yellow'
coloredlogs.install(... | xBrunoMedeiros/wyd-bot | client_game.py | client_game.py | py | 8,848 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "coloredlogs.DEFAULT_FIELD_STYLES",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "coloredlogs.install",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "p... |
25588514888 | # import atexit
import time
import json
from datetime import timedelta
import logging
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION,CONF_TYPE)
from homeassistant.helpers.entity import Entity
import homeassistant.helpers.con... | syjjx/HA_Esxi | ha_vcenter.py | ha_vcenter.py | py | 25,284 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.sensor.PLATFORM_SCHEMA",
"line_number": 62,
"usage_type": "name"
},
{
... |
29568221843 | # -*- coding: utf-8-*-
'''
First script
'''
from pathlib import Path
import sys
import argparse
pathSearch = Path('.').resolve().as_posix()
sys.path.append(pathSearch)
# -----------------------------------------
description='''This is a description of what the script does.
This script:
- is to show how the 'argp... | kemal332/entry | testScript.py | testScript.py | py | 1,390 | python | en | code | null | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
... |
20920399171 | # YOLOv5 ๐ by Ultralytics, GPL-3.0 license
"""
Plotting utils
"""
import math
import os
from copy import copy
from pathlib import Path
import cv2
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sn
import torch
from PIL import Image, ImageDraw, ImageFont
impo... | ziyan0302/Yolov5_DeepSort_Pytorch_ros | Yolov5_DeepSort_Pytorch/yolov5/utils/plots.py | plots.py | py | 29,223 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "utils.general.user_config_dir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.use"... |
23829749926 | try:
from setuptools import setup, find_packages
except ImportError:
from distutils.core import setup
config = {
'description': 'SNAPS OpenStack Installer',
'author': 'Steve Pisarski',
'url': 'https://github.com/cablelabs/snaps-openstack',
'download_url': 'https://github.com/cablelabs/snaps-ope... | cablelabs/snaps-openstack | setup.py | setup.py | py | 667 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "setuptools.find_packages",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "distutils.core.setup",
"line_number": 22,
"usage_type": "call"
}
] |
4046943676 | import os
import threading
import common.Api_pb2 as oap_api
from common.Client import Client, ClientEventHandler
from gpiozero import CPUTemperature
# Define cpu threshold (*C)
CPU_THRESHOLD = 60
cpu = CPUTemperature()
class EventHandler(ClientEventHandler):
def __init__(self):
self._notification_chann... | tigattack/CarPi | pi/scripts/cpu_temp_monitor.py | cpu_temp_monitor.py | py | 3,828 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gpiozero.CPUTemperature",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "common.Client.ClientEventHandler",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "common.Api_pb2.RegisterNotificationChannelRequest",
"line_number": 25,
"usage_ty... |
38367714869 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun May 21 13:23:27 2017
Plots two mass spectra on one set of axes and notates m/z of the peak(s)
with the highest relative intensity.
@author: emeryusher
"""
# import python modules for plotting etc.
import numpy as np
import matplotlib.pyplot as plt
fro... | idpemery/random-python-scripts | MS_ref_overlay.py | MS_ref_overlay.py | py | 2,275 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.loadtxt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.amax",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.amax",
"line_number"... |
28389679037 | from networks import AdaINGen, VAEGen, NetV2_128x128
from utils import weights_init, get_model_list, vgg_preprocess, load_vgg16, load_vgg19, get_scheduler
from torch.autograd import Variable
import torch
import torch.nn as nn
import os
class FACE_Trainer(nn.Module):
def __init__(self, hyperparameters):
sup... | TheSouthFrog/stylealign | pytorch_code/trainer.py | trainer.py | py | 5,877 | python | en | code | 182 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "networks.NetV2_128x128",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn.InstanceN... |
31891970363 | from termcolor import cprint
from tkinter import *
from ttkthemes import themed_tk
from tkinter import ttk , messagebox, filedialog
from PIL import Image, ImageTk
vendara = ['Vendara', 14]
root = themed_tk.ThemedTk()
root.geometry('900x600+500+200')
root.title('Admission-helper: Administrator Version')
root.set_theme(... | Advik-B/Admission-helper | main.py | main.py | py | 2,112 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "ttkthemes.themed_tk.ThemedTk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ttkthemes.themed_tk",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 26,
"usage_type": "call"
},
{
"api_na... |
37869013076 | import numpy as np
import pandas as pd
import cv2
from sklearn.model_selection import train_test_split
import tensorflow as tf
import keras
from keras.models import Model
from keras.models import load_model
from keras.layers import Input, Dense, Concatenate
from keras.layers import Dense, GlobalAveragePooling2D, Dropou... | anton500nb/ship_detection | model.py | model.py | py | 9,000 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tensorflow.reshape",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tensorflow.reshape",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.reduce_sum",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflo... |
32958345548 | from argparse import ArgumentParser
from time import sleep
from src.netreq import setContractAddress, requestPrice, requestSymbol
from src.grapher import setGraphSymbol, startGraphThread,addPrice, initanim
from src.contracts import contract_list
import threading
def priceThread():
while True:
price = reque... | gAtrium/acpy | acpy.py | acpy.py | py | 1,591 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "src.netreq.requestPrice",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "src.grapher.addPrice",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.Argu... |
8343142681 | from bs4 import BeautifulSoup
import requests
country = raw_input("Enter the country:")
#print(country)
site_to_scrape = "https://en.wikipedia.org/wiki/List_of_national_capitals_and_largest_cities_by_country"
r = requests.get(site_to_scrape)
data = r.text
soup = BeautifulSoup(data)
print("Capital: "+soup.find('a',ti... | deathBlad3/capitalCities | capitalCity.py | capitalCity.py | py | 373 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
}
] |
18722144626 | """
@package square_connect.report.management.commands.get_recent_transactions
Gets the most recent transactions from the primary storefronts and adds any selected items to the report database.
We recommend that you run it in a cron job.
"""
from django.core.management.base import BaseCommand, CommandError
from django... | TrianglePlusPlus/howitzer | square_connect/square_connect/report/management/commands/get_recent_transactions.py | get_recent_transactions.py | py | 1,410 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.models.Service.objects.count",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "app.models.Service.objects",
"line_number": 22,
"usage_type": "a... |
31669588144 | # -*- coding: utf-8 -*-
# !/usr/bin/env python
# @Time : 2019-08-06 16:16
# @Author : lidong@immusician.com
# @Site :
# @File : base.py
import requests
from UnitTest.settings import HOST, PORT, HEADERS
class BaseResponse:
def __init__(self):
pass
class BaseRequest:
def __init__(self, host... | Fushengliangnian/PracticeEssays | UnitTest/base.py | base.py | py | 1,821 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "UnitTest.settings.HOST",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "UnitTest.settings.PORT",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "UnitTest.settings.HEADERS",
"line_number": 28,
"usage_type": "name"
},
{
"api_name"... |
19194610924 | #YAPI Rewrite - Yet Another Package Manager
#Imports
import modules.config_import as config_import
import modules.installer as installer
import gui.interface as interface
import modules.search as search
import json
import sys
import os
try:
os.chdir(os.path.dirname(__file__)) #Change file location if outside of YA... | Wabri/rewrite | yapi.py | yapi.py | py | 1,975 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "os.chdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 1... |
72625343714 | import json
import csv
import requests
from bs4 import BeautifulSoup
# โโโโโโโโ lab. PR | FAF | FCIM | UTM | Fall 2023
# โโโโโโโโ FAF-212 Cristian Brinza lab2 homework
print('')
print('โโโโโโโโ lab. PR | FAF | FCIM | UTM | Fall 2023')
print('โโโโโโโโ FAF-212 Cristian Brinza lab2 homework ')
print('')
# User-Ag... | CristianBrinza/UTM | year3/pr/lab2/homework.py | homework.py | py | 7,543 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.RequestException",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "csv.Dic... |
22518135513 | import os
# os.environ['CUDA_VISIBLE_DEVICES'] = "0" # in case you are using a multi GPU workstation, choose your GPU here
import tqdm
import pytorch_lightning as pl
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
import torch.nn.functional as F
import pandas as pd
from datasets import ... | microsoft/LMOps | promptist/aesthetic/train_predictor.py | train_predictor.py | py | 5,077 | python | en | code | 2,623 | github-code | 1 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "t... |
40888591974 | # ---
# jupyter:
# jupytext:
# cell_metadata_json: true
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.4.2
# kernelspec:
# display_name: Python [conda env:anaconda-spark30_prev2]
# langu... | Hoeze/firefly | scripts/AggregateVEP.py | AggregateVEP.py | py | 15,105 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.popen",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "psutil.virtual_memory",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.popen",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number... |
20472215584 | import torch
from torch import nn
import torch.nn.functional as F
from typing import List, Callable, ClassVar
from collections import namedtuple
from copy import deepcopy
from .nvidia import PartialConv2d as PC2D
class PartiaLConv2d (nn.Conv2d):
def __init__(self, *args, **kwargs):
super(PartiaLConv2d, se... | source-data/ai | toolbox/models.py | models.py | py | 23,355 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.ones_like",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"li... |
23467172721 | #!/usr/bin/python3
from brownie import Reentrance, Attack
from scripts.deploy import deploy
from scripts.helpful_scripts import get_account
from colorama import Fore
from web3 import Web3 as w3
# * colours
green = Fore.GREEN
red = Fore.RED
blue = Fore.BLUE
magenta = Fore.MAGENTA
reset = Fore.RESET
# * Rinkeby address... | Aviksaikat/Blockchain-CTF-Solutions | ethernaut/Re-entrance_DONE/scripts/attack.py | attack.py | py | 1,759 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "colorama.Fore.GREEN",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.RED",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "colorama.... |
20838574752 | from cases import *
import pandas as pd
import scipy.io
import sys
def compare_cases():
coefs=scipy.io.loadmat("../data/timeseries.mat")
trend_coefs=pd.read_csv("../data/trends.csv")
season_coefs=pd.read_csv("../data/season.csv")
num_years=1
start_year=2020
num_simulations=100
seed=0
par... | schraderSimon/NorwayGermanyProject | code/testfunctions.py | testfunctions.py | py | 4,835 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scipy.io.io.loadmat",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.io.io",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"lin... |
26345201031 | ## read params
## process
## return dataframe
import os
import yaml
import pandas as pd
import argparse
#read the params from the config path and it will return a dictionary(yaml file)
def read_params(config_path):
with open(config_path) as yaml_file:
config = yaml.safe_load(yaml_file)
return config
#... | SrinivasGuntupalli/simple_dvc_demo | src/get_data.py | get_data.py | py | 1,015 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "yaml.safe_load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
}
] |
72457648034 | import torch
from mmdet.core.bbox import BaseBBoxCoder
from mmdet.core.bbox.builder import BBOX_CODERS
@BBOX_CODERS.register_module()
class CameraBBoxCoder(BaseBBoxCoder):
def __init__(self, code_size=8):
self.code_size = code_size
def encode(self, dst_boxes):
targets = torch.zer... | yichen928/SparseFusion | mmdet3d/core/bbox/coders/camera_bbox_coder.py | camera_bbox_coder.py | py | 2,909 | python | en | code | 116 | github-code | 1 | [
{
"api_name": "mmdet.core.bbox.BaseBBoxCoder",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.sin",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cos",
"l... |
11939597532 | from __future__ import absolute_import, division, print_function
import tensorflow as tf
from tensorflow import keras
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
print('tensorflow version:', tf.__version__)
# 1) get data
boston_housing = keras.datasets.boston_housing
(train_data, train_la... | halazila/pythonLearn | tfLearn/houseprice_reg.py | houseprice_reg.py | py | 3,037 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tensorflow.__version__",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.datasets",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 12,
"usage_type": "name"
},
{
"api_na... |
30020287097 | import os
from random import randint
from functools import partial
from datetime import datetime
from config.log_config import LogConfig
from config.pong_enum import PathEnum, ButtonNamesEnum
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
from kivy.uix.boxlay... | ivan1dze/kivy | main.py | main.py | py | 10,431 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "config.log_config.LogConfig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "kivy.uix.widget.Widget",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "config.... |
27639072195 | import csv
import datetime
import logging
from sme_ptrf_apps.core.models import Associacao, Periodo
from sme_ptrf_apps.core.models.arquivo import (
DELIMITADOR_PONTO_VIRGULA,
DELIMITADOR_VIRGULA,
ERRO,
PROCESSADO_COM_ERRO,
SUCESSO,
)
logger = logging.getLogger(__name__)
CODIGO_EOL = 0
PERIODO = 1
... | rochalet/SME-PTRF-BackEnd | sme_ptrf_apps/core/services/periodo_inicial.py | periodo_inicial.py | py | 3,373 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sme_ptrf_apps.core.models.arquivo.DELIMITADOR_VIRGULA",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sme_ptrf_apps.core.models.arquivo.DELIMITADOR_PONTO_VIRGULA",
"line_n... |
24877020550 | # coding: utf-8
"""
Ctypes wrapper module for BUSMUST CAN Interface on win32/win64 systems.
Authors: busmust <busmust@126.com>, BUSMUST Co.,Ltd.
"""
# Import Standard Python Modules
# ==============================
import ctypes
import logging
import sys
import time
try:
# Try builtin Python 3 Windows API
f... | Aceinna/acenav-cli | src/aceinna/devices/widgets/can/interfaces/bmcan/canlib.py | canlib.py | py | 13,564 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "can.BusABC",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "ctypes.c_int",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "ctypes.byref",
"line_nu... |
29110585681 | #-*- encoding: UTF-8 -*-
import urllib
from AlyMoly.reporte.excepciones import AbstractClassException
from AlyMoly.settings import REPORT_HOST, REPORT_PORT, REPORT_APP, REPORT_DIR,\
NOMBRE_SUCURSAL, CANTIDAD_PRODUCTOS_MAS_VENDIDOS,\
CANTIDAD_PROMOCIONES_MAS_VENDIDAS
from AlyMoly... | CreceLibre/alymoly | AlyMoly/reporte/clases.py | clases.py | py | 10,496 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "HTMLParser.HTMLParser",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "HTMLParser.HTMLParser.__init__",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "HTMLParser.HTMLParser",
"line_number": 17,
"usage_type": "name"
},
{
"api_na... |
18209204664 | from const import *
import sys
from datetime import datetime
import numpy as np
import cv2
import os
from time import sleep
from threading import *
from utils import *
def removeTxt(txtBuffer):
import os
txtFileList = os.listdir(txtBuffer)
for item in txtFileList:
if item.endswith(".txt"):
... | navilo314hku/FYP | txtToJpg.py | txtToJpg.py | py | 4,636 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
... |
727279415 | from torchvision import models
import torch.nn.functional as nnf
import torch.nn as nn
import utilities
import config
import torch
import time
import sys
import os
class Classify():
def __init__(self, logs):
self.logs = logs
self.modelPath = os.path.join(config.ROOT_DIRECTORY,config.MODEL_ROOT_DIR)... | p4z1/NN-anomaly-detection-system | centrala/netServer.py | netServer.py | py | 3,955 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.ROOT_DIRECTORY",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.MODEL_ROO... |
74339324514 | import os
import sys
import requests
from pymongo import MongoClient
from apscheduler.schedulers.blocking import BlockingScheduler
# For simplicity, we are hardcoding the GitHub URL here.
GITHUB_URL = "https://github.com/akto-api-security/pii-types/blob/master/general.json"
# We can also pass the GitHub URL as an envi... | rabilrbl/Akto-Assessment | script.py | script.py | py | 2,073 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
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