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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31126739273 | from Motors.motors import motors
from Encoders.encoders import left_encoder,right_encoder
from behaviours.MotorSpeed import MotorSpeed
import asyncio
def find_V_R(V_L,R_L,w):
return (V_L * (R_L+w))/R_L
V_L = 15
V_R = find_V_R(V_L,20,115)
print(V_R)
left_motor_speed = MotorSpeed(left_encoder,motors.left_motor... | gregorianrants/technic-bot | technic/run_motor_speed.py | run_motor_speed.py | py | 1,038 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "behaviours.MotorSpeed.MotorSpeed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Encoders.encoders.left_encoder",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "Motors.motors.motors.left_motor",
"line_number": 17,
"usage_type": "a... |
72169384829 | """
Common functions and classes for implementing dataframe verbs
"""
import itertools
import re
from contextlib import suppress
import pandas as pd
import pandas.api.types as pdtypes
import numpy as np
from ..expressions import Expression
from ..types import GroupedDataFrame
from ..utils import get_empty_env
def _... | has2k1/plydata | plydata/dataframe/common.py | common.py | py | 18,834 | python | en | code | 271 | github-code | 6 | [
{
"api_name": "types.GroupedDataFrame",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "types.GroupedDataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ty... |
7090050593 | import os
import shutil
import tempfile
import math
import filetype
from whiterkang import WhiterX, Config
from whiterkang.helpers import tld, disableable_dec, EMOJI_PATTERN, convert_video, resize_image, http
from hydrogram import filters
from hydrogram.errors import PeerIdInvalid, StickersetInvalid
from hydrogram.ra... | BubbalooTeam/WhiterRobot | whiterkang/plugins/stickers.py | stickers.py | py | 9,595 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "whiterkang.WhiterX",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "hydrogram.types.Message",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "whiterkang.WhiterX.on_message",
"line_number": 26,
"usage_type": "call"
},
{
"api_name... |
24291922823 | import os
import shutil
import sys
import time
import urllib.request #Module for reading from the web
from re import findall
from re import search
from re import compile
import json
from pprint import pprint
manifest_name=""
oldcommitlog=""
components={}
dictionary={}
projdir_basepath = "/scratch/ckalluri/DAI... | ckalluri73/scripts | yocto-scripts/daily-builds/daily_commit_update_script.py | daily_commit_update_script.py | py | 7,840 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 3... |
4627239984 | # import pygame
import pygame
# initializes the pygame modules
pygame.init()
# sets the variable WHITE to the following RGB values
WHITE = (255, 255, 255)
# sets the width and height of the screen
WIDTH = 800
HEIGHT = 500
# Create a Clock object to keep track of the fps
FPSCLOCK = pygame.time.Clock()
# Create a c... | Maker45/Change-Costume | Change Costume.py | Change Costume.py | py | 2,514 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode... |
38191099022 | #sample extract file
import numpy as np
# import pickle
import h5py
import numpy as np
import os
import sys
from sklearn.preprocessing import OneHotEncoder
import logging
SEQLEN = 6
NBASES = 4
def get_hash_dict(NBASES=4):
BASEHASH = {"A":NBASES-4, "T":NBASES-3, "C":NBASES-2, "G":NBASES-1 }
return BASEHASH
B... | DSLituiev/fast5-rnn | dnahashing.py | dnahashing.py | py | 3,721 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.debug",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.ceil",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
72995914429 | import os.path
_dir = os.path.dirname(os.path.realpath(__file__))
# Trying to use Trading API https://github.com/timotheus/ebaysdk-python/wiki/Trading-API-Class
from ebaysdk.trading import Connection as Trading
from ebaysdk.exception import ConnectionError, ConnectionResponseError
try:
config_file = _dir + '/../co... | jehoshua02/ebay_list | src/main.py | main.py | py | 575 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "os.path.path.realpath",
... |
22137184355 | import discord
from datetime import datetime, timedelta
from discord.ext import commands
from database import load_json, write_json
from discord.utils import get
from apscheduler.schedulers.asyncio import AsyncIOScheduler
class Moderation(commands.Cog):
def __init__(self, client):
self.scheduler = AsyncIO... | ChaoticChaosTheGreat/DiscordBot | cogs/moderation.py | moderation.py | py | 5,969 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "apscheduler.schedulers.asyncio.AsyncIOScheduler",
"line_number": 11,
"usage_type": "call... |
35413695544 | from rest_framework import permissions
from rest_framework.exceptions import ValidationError
from events.models import ClientAssociation, EventAssociation, ContractAssociation
from users.models import Employee
class ManagerPermissions(permissions.BasePermission):
def has_permission(self, request, view):
i... | PhilippeOC/p12 | users/permissions.py | permissions.py | py | 2,931 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.permissions.BasePermission",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.permissions",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.exceptions.ValidationError",
"line_number": 13,
"u... |
29143754772 | # Framework
from flask import Flask, g, request, render_template, session, url_for, redirect
from flask.cli import with_appcontext
from flask_restful import Resource, Api, reqparse
# Auth security
from werkzeug.security import generate_password_hash, check_password_hash
# Other libraries
import functools
import sqlit... | c3lphie/EUK-Info | info/__init__.py | __init__.py | py | 5,209 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.g",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "flask.g.db",
"line_number":... |
910781650 | import numpy as np
import h5py as h5
from nose.tools import assert_raises
from horton import * # pylint: disable=wildcard-import,unused-wildcard-import
from horton.test.common import numpy_seed
#
# Utility functions
#
def get_forth_back(n):
"""Return matching pair of forth and back permutation.
Parameter... | theochem/horton | horton/meanfield/test/test_orbitals.py | test_orbitals.py | py | 10,080 | python | en | code | 83 | github-code | 6 | [
{
"api_name": "numpy.random.uniform",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
... |
74582569466 | """empty message
Revision ID: b1cacf9a265f
Revises: c6d95a682959
Create Date: 2016-06-04 09:59:53.465000
"""
# revision identifiers, used by Alembic.
revision = 'b1cacf9a265f'
down_revision = 'c6d95a682959'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
def upgrade():
### ... | ijidan/deploy | migrations/versions/b1cacf9a265f_.py | b1cacf9a265f_.py | py | 1,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.drop_table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
10815813572 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import path as PATH
import glob, os, shutil, random, re
import subprocess
def add_label(image_path, label_path):
image_data = os.listdir(image_path)
for path_file in glob.glob(os.path.join(image_path, "*.jpg")):
#画像fileの名前のみ取り出し
image, ext = os... | KentaKawamata/Learning-data-tools | src/label.py | label.py | py | 1,205 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
... |
40315927335 |
from collections import deque
# Read input (polymer)
with open('./1205.in', 'r') as f:
polymer = deque(f.read().strip())
# type : letter
# polarity : capitalization
###################################
# 1 - How many units remain after polymer reacts ?
###################################
# Adjacent : Same type &... | hdd2k/adventOfCode | 2018/05/1205.py | 1205.py | py | 1,682 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 42,
"usage_type": "call"
}
] |
37716504903 | import csv
import os
from django.core.management import BaseCommand
from django.db import transaction
from language.models import Language
class Command(BaseCommand):
help = 'Update language data from csv'
def handle(self, *args, **options):
dir = os.path.dirname(os.path.realpath(__file__)) # comm... | sealgair/lingule | language/management/commands/update_languages.py | update_languages.py | py | 1,507 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.pa... |
73372283067 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : Feb-01-20 06:51
# @Author : Your Name (you@example.org)
# @Link : https://www.kaggle.com/uysimty/keras-cnn-dog-or-cat-classification
import numpy as np
import pandas as pd
from keras.preprocessing.image import ImageDataGenerator, load_img
from ke... | KellyHwong/Amiya-Is-Not-Donkey | simpleCNN-train.py | simpleCNN-train.py | py | 6,317 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.metrics.auc",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.metrics",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "keras.backend.get_session",
"line_number": 24,
"usage_type": "call"
},
{
"api_name... |
16543399299 | import datetime
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
"""
Author: Martin
Version: ... | Grimmii/TrainChatBot | src/ai_chatbot/scraper/scraper.py | scraper.py | py | 7,084 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 33,
"usage_type": "call"
},
{
"api... |
33110156972 | """
---------------------------------------------------------------------
Perform GPU-based streamline integration using `OpenCL`_.
Provides PyOpenCL-accelerated functions to integrate streamlines using
2nd-order Runge-Kutta and (streamline tail-step only) Euler methods.
Basins of interest can be delimited by masking... | cstarkjp/slm | python/streamlines/fields.py | fields.py | py | 14,525 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "streamlines.pocl.prepare_cl_context"... |
31933004971 | from pyspark.ml.linalg import Vectors
from pyspark.ml.feature import VectorAssembler
from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
dataset = spark.createDataFrame(
[(0, 18, 1.0, Vectors.dense([0.0, 10.0, 0.5]... | geoffreylink/Projects | 07 Machine Learning/SparkML/sparkML_FT_vectorassembler.py | sparkML_FT_vectorassembler.py | py | 835 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 5,
"usage_type... |
71226754748 | from math import cos, sin
from typing import Sequence
from robotlib.geometry import Point2d
from robotlib.kinematics.forward.solver import ForwardSolver
from robotlib.kinematics.system import System
class BasicForwardSolver(ForwardSolver):
def solve(
self,
system: System,
base... | austin-bowen/robotlib | src/python/robotlib/kinematics/forward/basic_solver.py | basic_solver.py | py | 731 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "robotlib.kinematics.forward.solver.ForwardSolver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "robotlib.kinematics.system.System",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "robotlib.geometry.Point2d",
"line_number": 13,
"usage_t... |
37403908186 | from sklearn.model_selection import GridSearchCV
from sklearn import datasets
from sklearn import svm
from src.swag import Swag
if __name__ == '__main__':
# Initialize
s = Swag("Exp_name")
swag = s.swag
# Load data
iris = datasets.load_iris()
X = iris.data
y = iris.target
# Initiali... | Nikhil-Fulzele/Swag | src/example/iris_track_grid_search.py | iris_track_grid_search.py | py | 522 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.swag.Swag",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sklearn.svm... |
15326994790 |
import requests
import matplotlib.pyplot as plt
import numpy as np
from utils import *
def request_using_image(height_path, city, date, zoom, i, j):
input_height, input_lat, input_date = load_input_grid(height_path, city, date, zoom, i, j)
input_height, input_lat, input_date = normalize_input(input_height, i... | uic-evl/deep-umbra | client_flask_example.py | client_flask_example.py | py | 1,418 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number"... |
34951483602 | import asyncio
import websockets
import logging
# Configure logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S')
handler = logging.StreamHandler()
handler.setFormatter(formatter)
logger.addHand... | ikubaysan/neos-nes | tests/ws_message_test.py | ws_message_test.py | py | 1,540 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.StreamHand... |
14613851474 | import cv2
import numpy as np
import imutils
#setto i livelli massimi e minimi per GIALLO
low_yellow = np.array([18, 130, 95])
up_yellow = np.array([40, 255, 255])
#setto i livelli massimi e minimi per VERDE
low_green = np.array([40, 90, 35])
up_green = np.array([100, 240, 200])
#setto i livelli massim... | Lucaa11/Rescue-Kaio | Robot/Letter Detection.py | Letter Detection.py | py | 4,075 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13... |
23296028330 | # USAGE
# python openvino_real_time_object_detection.py --prototxt MobileNetSSD_deploy.prototxt --model MobileNetSSD_deploy.caffemodel
# import the necessary packages
from imutils.video import VideoStream
from imutils.video import FPS
from pydub import AudioSegment
from pydub.playback import play
from antares_http imp... | nblakbar10/SentrAI-v.4.0 | SentrAI_v.2.py | SentrAI_v.2.py | py | 9,538 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "RPi.GPIO.setwarnings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_n... |
25160545295 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.base import BaseEstimator,TransformerMixin
from sklearn.impute import SimpleImputer
#用在AgeImputer类
from sklearn.ensemble import RandomForestClassifier #... | namezhyp/Kaggle_exer_code | titanic/kaggle_titanic.py | kaggle_titanic.py | py | 4,718 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sklearn.impute.SimpleImputer",
"line_number": 30,
"usage_type": "call"
},
{
... |
11203692850 | import environment_variables
import unsplash_api_gateway
import photos
import utils
import json
def main():
"""Get sunrise and sunset images from Unsplash API."""
api = unsplash_api_gateway.UnsplashApi(environment_variables.UNSPLASH_ACCESS_KEY, environment_variables.UNSPLASH_SECRET_KEY)
sunrise_images = ... | thomaswilsonxyz/thomaswilson-sveltekit | scripts/sunrise_sunset_images/get_sunrise_images.py | get_sunrise_images.py | py | 1,733 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unsplash_api_gateway.UnsplashApi",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "environment_variables.UNSPLASH_ACCESS_KEY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "environment_variables.UNSPLASH_SECRET_KEY",
"line_number": 9,
... |
19271422383 | # coding=utf-8
from __future__ import unicode_literals
import os
from smtplib import SMTPException
from django.conf import settings
from django.contrib.auth.models import User
from django.core.mail import get_connection
from django.core.mail.message import EmailMultiAlternatives
from django.template.loader import ren... | datosgobar/monitoreo-apertura | monitoreo/apps/dashboard/email_renderer.py | email_renderer.py | py | 2,748 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "django.core.mail.get_connection",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 22,
... |
11702690502 | from django.shortcuts import render, render_to_response
from .services import *
from .response import JSONResponse, response_mimetype
from .comments import *
from .serialize import serialize
from .comparison import *
from population_characteristics.models import *
from django.core import serializers
from django.conf... | bioinformatics-ua/montra | emif/population_characteristics/views.py | views.py | py | 6,633 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "dateutil.tz.tzutc",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "public.utils.hasFingerprintPermissions",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "fingerprint.models.Fingerprint.objects.get",
"line_number": 61,
"usage_type": "c... |
43746261063 | import pygame
import numpy as np
'''
Button order: A, B, X, Y, LB, RB, LS, RS, Back, Guide, Start
D-Pad order: L, R, D, U
Axes order: L-Hor, L-Ver, LT, R-Hor, R-Ver, RT
- Joystick axes range: [-1, 1], Trigger axes range: [0, 1]
'''
class Controller:
'''
Controller class dealing with inputs, displaying current stat... | Team-Bath-Roving/TBRo-Mission-Control | last_year/classes/Controller.py | Controller.py | py | 4,946 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pygame.joystick.Joystick",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.joystick",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rect",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "pygame... |
3478521220 | import errno
import logging
import os
import shutil
import stat
import sys
from contextlib import contextmanager, suppress
from typing import TYPE_CHECKING, Iterator
from . import system
if TYPE_CHECKING:
from .base import AnyFSPath, FileSystem
from .callbacks import Callback
logger = logging.getLogger(__na... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc_objects/fs/utils.py | utils.py | py | 5,918 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "stat.S_IXUSR",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "stat.S_IXGRP... |
74757910908 | """Define general constants"""
from enum import IntEnum
from ..util import StrEnum
class DeviceType(StrEnum):
"""Recognized device types"""
RADIATOR = "Radiator"
LIGHT = "Light"
OUTLET = "Outlet"
UNKNOWN = "Unknown"
class DeviceTypeId(IntEnum):
"""Recognized device type ids"""
RADIATOR ... | hemphen/clevertouch | src/clevertouch/devices/const.py | const.py | py | 373 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "util.StrEnum",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum",
"line_number": 14,
"usage_type": "name"
}
] |
71281610429 | """
This file is a part of the 'Unnamed' source code.
The source code is distributed under the MIT license.
"""
import json
import pathlib
import typing
# Generics
EventInfo = typing.Dict[str, typing.Any]
# Game stuff
WIDTH = 600
HEIGHT = 320
TILE_WIDTH = 16
TILE_HEIGHT = 16
# Paths
ROOT_DIR = pathlib.Path(".")
A... | blankRiot96/Daves-Anniversary | game/common.py | common.py | py | 585 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_n... |
38810194455 | #!/usr/bin/env python
"""
Keypress Management
The KeyPressManager class tracks keypresses and invokes the bound functions as
per the requested state information.
kpm = KeyPressManager()
kpm.bind(key, function, *args, **kwargs)
kpm.bindAll(keys, function, *args, **kwargs)
while True:
with kpm:
# Bo... | Kaedenn/b3sim | keypressmgr.py | keypressmgr.py | py | 14,775 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyb3.getLogger",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "pyb3.pybullet.KEY_IS_DOWN",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "pyb3.pybullet",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "pyb3.pybu... |
14213557946 | import aiohttp
import asyncio
from bs4 import BeautifulSoup
from typing import List
import telegram
import re
import logging
from zhconv import convert
import time
from datetime import datetime
import traceback
logger = logging.getLogger('CaoLiuPush')
logger.setLevel(logging.INFO)
formatter = logging.Formatter('%(asct... | 0honus0/CaoLiu_Push | main.py | main.py | py | 10,158 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.StreamH... |
7078166280 | import time
import requests
from elasticsearch import Elasticsearch
def check_elastic_search_connection():
res = requests.get("http://localhost:9200")
print('Elastic Search Server Status')
print('--------Start---------')
print('\n')
print(res.content)
print('\n')
print('--------End-------... | udianand/CreditSuisseDemo | src/model/curl.py | curl.py | py | 1,429 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 18,
"usage_type": "call"
}
] |
43364762574 | import numpy as np
import pandas as pd
import tensorflow as tf
from typing import Union, Dict, Tuple
from pathlib import Path
from matplotlib import pyplot as plt
from libs.architecture.target import AdversarialAutoencoder
from libs.network.network import add_dense
from libs.constants import BASE_PATH
class DA3D(tf... | Fraunhofer-AISEC/DA3D | libs/DA3D.py | DA3D.py | py | 17,439 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tensorflow.keras",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "libs.architecture.target.AdversarialAutoencoder",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 19,
"usage_type": "name"
},
{
... |
43140758201 | """``interpu()``: 1D linear interpolation using astropy quantities.
This is a wrapper for numpy.interp for use when using astropy quantities. If
x and xp have different units, xp is converted to the units of x before
interpolation. An exception is raised if the units are not compatible
(i.e., the units of xp cannot be... | mburger-stsci/nexoclom | nexoclom/math/interpu.py | interpu.py | py | 1,512 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "astropy.units.km",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.interp",
"line_number": 47,
"usage_type": "call"
}
] |
17403483757 | # import the BeautifulSoup and pandas
from bs4 import BeautifulSoup
import pandas as pd
# open the data.xml file and load into Beautiful Soup
with open("data.xml") as fp:
soup = BeautifulSoup(fp, "lxml") # lxml is the Parser type
# build an empty dictionary.
# Use the destination tag(tag_name_3 in this case) as ... | Mendy5/Python_Practices | Data_Engineering/DE_read_xml_to_df.py | DE_read_xml_to_df.py | py | 718 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 22,
"usage_type": "attribute"
}
] |
40820966760 | import xarray as xr
import numpy as np
import sys
from utils import *
f=sys.argv[1]
dsout=xr.Dataset()
for v in ['TLAI','GPP','HR','AR','COL_FIRE_CLOSS','NPP','NEP','NBP','SW','SW1M','RAIN','SNOW','FSDS','SNOWDP','TG','FSDSVI']:
if v=='SW':
da=get_sw(f)
elif v=='SW1M':
da=get_sw1m(f)
else:... | djk2120/TWSnbp | postp/postp_cesm1_amean1976.py | postp_cesm1_amean1976.py | py | 951 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "xarray.Dataset",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xarray.open_dataset",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xarray.open_dataset",
... |
17953701737 | # -*- coding: utf-8 -*-
"""Writer utils."""
import io
import struct
import typing
import numpy as np
try:
import crc32c
except ImportError:
crc32c = None
from lichee.utils.tfrecord import example_pb2
class TFRecordWriter:
"""Opens a TFRecord file for writing.
Params:
-------
data_path: str... | Tencent/Lichee | lichee/utils/tfrecord/writer.py | writer.py | py | 2,847 | python | en | code | 295 | github-code | 6 | [
{
"api_name": "io.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_num... |
33509083971 | import random
import json
import gym
from gym import spaces
import pandas as pd
import numpy as np
import os
MAX_STEPS = 20000
import pickle
data = pd.read_excel(os.getcwd()+"/data/RL_data.xlsx")
MAX_DEMAND = data['Actual Demand'].max()
MAX_PREDICTED_DEMAND = data['Predicted Demand'].max()
MAX_HOEP = data['Tariff'].m... | dwivediagam/SmartGrid | env/SmartGridEnv.py | SmartGridEnv.py | py | 4,110 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gym.Env",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
"line_n... |
278101788 | """
run shape learning/optimization
"""
import os, sys
import subprocess
from distutils.dir_util import copy_tree
os.environ["DISPLAY"] = ":99.0"
os.environ["PYVISTA_OFF_SCREEN"] = "true"
os.environ["PYVISTA_USE_IPYVTK"] = "true"
bashCommand = "Xvfb :99 -screen 0 1024x768x24 > /dev/null 2>&1 & sleep 3"
process = subp... | uncbiag/shapmagn | shapmagn/run_task.py | run_task.py | py | 6,682 | python | en | code | 94 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen",
... |
36314003526 | from django.conf.urls.defaults import patterns, include, url
urlpatterns = patterns('',
url(r'^$', 'greenhub.views.index'),
url(r'^home', 'greenhub.views.home'),
url(r'^sensors', 'greenhub.views.sensors'),
url(r'^settings', 'greenhub.views.settings'),
url(r'^send-command/(?P<type>.*)', 'greenhub.v... | Hexaflou/GreenHub | web/greenhub/urls.py | urls.py | py | 483 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.conf.urls.defaults.patterns",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.defaults.url",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.defaults.url",
"line_number": 5,
"usage_type": "call"
}... |
12024710330 | #!/usr/bin/python
import sys
import Adafruit_DHT
import requests
import datetime
import urllib
import time
print("Launching temperature monitoring....")
# API Endpoint
api_endpoint = "http://temp.webcoding.co.uk/api/v1/set"
# Sensor definition
dht11_sensor = Adafruit_DHT.DHT22
# GIPO PIN number
data_pin = 4
# debugge... | ouchiko/dht22-recorder | monitor.py | monitor.py | py | 1,517 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Adafruit_DHT.DHT22",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "Adafruit_DHT.read_retry",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetim... |
40686345603 | import argparse
import ipaddress
import logging
import logging.handlers
import multiprocessing
import os
import socketserver
import subprocess
import sys
import threading
import time
import traceback
import iperf3
import pyroute2
# Custom modules
from util.traffic_messages import (
TrafficMessage,
TrafficReque... | magma/magma | lte/gateway/deploy/roles/trfserver/files/traffic_server.py | traffic_server.py | py | 30,075 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "socketserver.TCPServer",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "os.fork",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_... |
20194869855 | from datetime import datetime, timedelta
from resources.lib.modules import trakt_sync
from resources.lib.modules.trakt_sync import shows
from resources.lib.modules.trakt_sync import movies
from resources.lib.modules.trakt_sync import hidden
from resources.lib.common import tools
from resources.lib.indexers import trakt... | Ed57/plugin.video.seren | resources/lib/modules/trakt_sync/activities.py | activities.py | py | 29,550 | python | en | code | null | github-code | 6 | [
{
"api_name": "resources.lib.modules.trakt_sync.shows.TraktSyncDatabase",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "resources.lib.modules.trakt_sync.shows",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "resources.lib.modules.trakt_sync.movies.TraktSync... |
20143940087 | import numpy as np
import cv2
from matplotlib import pyplot as plt
def show_img_with_matplotlib(color_img, title, pos):
# Convert from BGR to RGB
img_RGB = color_img[:, :, ::-1]
ax = plt.subplot(2, 3, pos)
plt.imshow(img_RGB)
plt.title(title)
plt.axis('off')
def show_hist_with_matplotlib_gray... | Raylow00/OpenCV-Tutorials | 2_Opencv_image_processing/17_grayscale_histogram_mask.py | 17_grayscale_histogram_mask.py | py | 1,431 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ma... |
22610554466 | from django import template
from django.conf import settings
register = template.Library()
@register.filter
def get_if_waiting(value, user):
if value.is_signed(user):
return 'Påmeldt'
elif value.is_waiting(user):
return 'På venteliste'
| hybrida/hybridjango | apps/registration/templatetags/template_filters.py | template_filters.py | py | 264 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 3,
"usage_type": "name"
}
] |
14222233196 | from PIL import Image
import colorsys
def threshold_pixel(r, g, b):
h, l, s = colorsys.rgb_to_hls(r / 255., g / 255., b / 255.)
return 1 if l > .55 else 0
# return 1 if r > 127 and g > 127 and b > 127 else 0
def binnaryze_image(img):
pixels = img.load()
width, height = img.size
# Create a ne... | Vapie/BotDofusSecret | image_processing/filter.py | filter.py | py | 794 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "colorsys.rgb_to_hls",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_... |
71209029627 | from flask import Flask, redirect, url_for, request, render_template
from pyspark.sql import SparkSession
from pyspark.shell import sqlContext
import numpy as np
import pandas as pd
sc = SparkSession.builder.appName("TwitterAPIQueryExecutor").config ("spark.sql.shuffle.partitions", "50").config("spark.driver.maxResul... | MounikaRachamadugu01/FlaskApp | PySparkFlaskApp/app.py | app.py | py | 1,869 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 8,
"usage_type": "... |
27250344356 | from django.db import models
from django.contrib.auth.models import User
from django.db.models.signals import post_save
from django.dispatch import receiver
from core.models import TimeStampedModel
from feature.models import Food, Category
class Profile(models.Model):
user = models.OneToOneField(
... | moon-hy/lunch-recommendation | account/models.py | models.py | py | 2,110 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 11,
"usage_type": "call"
},
{
"api_n... |
74459640506 | import telebot
import logging
from telebot import types
from settings import TELEGRAM_TOKEN, APPROVE_CHAT, MEETUP_CHAT
from text import WELCOME, REQUEST_ADD_WHOIS, APPROVED, DENIED, WAIT_APPROVE, APPROVE, DENY, REQUEST_WHOIS
logger = telebot.logger
telebot.logger.setLevel(logging.DEBUG)
bot = telebot.TeleBot(TELEGR... | anton-shum/Proxy-Bot | src/main.py | main.py | py | 2,972 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "telebot.logger",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "telebot.logger.setLevel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "telebot.logger",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
38180710242 | """Fairly basic set of tools for real-time data augmentation on image data.
Can easily be extended to include new transformations,
new preprocessing methods, etc...
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import re
from scipy import linalg
import s... | DSLituiev/mammoviews | image_classifiers/image.py | image.py | py | 91,619 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "PIL.Image",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "warnings.warn",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": ... |
29457432939 | import logging
from pathlib import Path
from typing import MutableMapping
import pytest
from shared_zone_test_context import SharedZoneTestContext
STATE_FILE = Path("testing_state.json")
logger = logging.getLogger(__name__)
ctx_cache: MutableMapping[str, SharedZoneTestContext] = {}
@pytest.fixture(scope="session... | vinyldns/vinyldns | modules/api/src/test/functional/tests/conftest.py | conftest.py | py | 952 | python | en | code | 334 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.MutableMapping",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "shared_zone_test_... |
3619151725 | import abc
import sys
from os import getenv
from pathlib import Path
import socranop.constants as const
from socranop.common import debug
class NotDetected(Exception):
pass # class NotDetected
class UnsupportedInstall(Exception):
pass # class UnsupportedInstall
class AbstractDirs(metaclass=abc.ABCMeta... | socratools/socranop | socranop/dirs.py | dirs.py | py | 5,895 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "abc.ABCMeta",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "socranop.common.debug",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
27201520861 | import random
from pymongo.errors import ConfigurationError
_PRIMARY = 0
_PRIMARY_PREFERRED = 1
_SECONDARY = 2
_SECONDARY_PREFERRED = 3
_NEAREST = 4
class ReadPreference:
"""An enum that defines the read preference modes supported by PyMongo.
Used in three cases:
:class:`~pymongo.mongo_client.MongoCli... | deathping1994/sendmail-api | venv/lib/python2.7/site-packages/pymongo/read_preferences.py | read_preferences.py | py | 12,432 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "random.choice",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "pymongo.errors.ConfigurationError",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "pymongo.errors.ConfigurationError",
"line_number": 161,
"usage_type": "call"
},
{
... |
39558818650 | import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
import math
x = torch.unsqueeze(torch.arange(0, 2, 0.01), dim=1)
y = torch.sin(2*math.pi*x) + 0.1*torch.rand(x.size())
LR = 0.05
class NN(nn.Module):
def __init__(self, n_feature, n_hidden, n_output):
super... | rayhuangg/111-1_MachineLearning | HW/HW09/hw9_1.py | hw9_1.py | py | 1,864 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.unsqueeze",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 8,
... |
27813049433 | import gym
from gym import wrappers
from torch import nn
import numpy as np
from models.sac import ContSAC
# from replay_buffer import ReplayBuffer
# from env_wrapper import StackedEnv
#
# # env_name = "CarRacing-v0"
# # env = StackedEnv(env_name, 48, 48, 4, 3)
# #
# # state_dim = env.observation_space.shape[0]
# # ac... | yiliu77/deep_rl_proj | train.py | train.py | py | 5,354 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "gym.make",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "models.sac.ContSAC",
"line_number": 162,
"usage_type": "call"
}
] |
17975178741 | # coding=utf-8
# author=yphacker
import torch.nn as nn
from transformers import BertModel
from torch.nn import CrossEntropyLoss
from conf import config
from conf import model_config_bert as model_config
from utils.model_utils import LabelSmoothingCrossEntropy, FocalLoss
class Model(nn.Module):
def __... | yphacker/ner | src/models/bert.py | bert.py | py | 2,246 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "conf.config.num_labels",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "conf.config... |
9582924815 | import logging
import pickle
import shutil
from pathlib import Path
from django.conf import settings
from django.http import HttpResponseRedirect, JsonResponse
from django.shortcuts import render
from rest_framework import viewsets, serializers
from rest_framework.views import APIView
from .forms import UploadFileFor... | royassis/djangoRestML | myapi/views.py | views.py | py | 3,288 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.conf.setti... |
2669444587 | # Gopisainath mamindlapalli and Krishna Prasath Senthil Kumaran
# import statements
import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as functional
import matplotlib.pyplot as plt
import cv2 as cv
import sys
# declaring some useful variables
batch_size_train = 64
batch_size_test = 1000... | gopisainath1718/computer_vision | Recognition using deep networks/Task-2.py | Task-2.py | py | 3,749 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module"... |
75261206268 |
import torch
import torch.nn as nn
from timm import create_model
def prepare_models(model_name, num_classes=200, pretrained=True):
"""
Function to prepare student and teacher models for DINOv2 finetuning approach of distillation.
Args:
num_classes (int): Total number of classes in output layer.
... | iMvijay23/Dinov2SSLImageCL | models.py | models.py | py | 2,247 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "torch.hub.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.hub.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_nu... |
17601951956 | from typing import Callable
import random
from lib.rubiks_cube import Layer, Move
class RubiksCubeScrambler:
@staticmethod
def random_scramble() -> list[Move]:
scramble: list[Move] = []
allowed_moves = [m for m in Move if m.is_outer_turn()]
recent_layers: set[Layer] = set()
# ... | louis-hildebrand/bld_trainer | lib/scrambler.py | scrambler.py | py | 1,081 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lib.rubiks_cube.Move",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "lib.rubiks_cube.Move",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lib.rubiks_cube.Layer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typin... |
8739986297 | import logging
from functools import wraps
from threading import Thread, Lock, Event, current_thread
from time import sleep
from queue import Queue, Empty
from future.builtins import range
from telegram import (TelegramError, NullHandler)
from telegram.utils import request
from telegram.ext.handler import Handler
fro... | kmahsi/hafez | telegram/ext/dispatcher.py | dispatcher.py | py | 9,821 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "telegram.NullHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
... |
72918459708 | #project1d-bootstrap
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as np
from random import random, seed
from sklearn.preprocessing import StandardScaler
import pandas as pd
from skl... | gery2/FYS-STK4155---Project-1 | Codes and terrain data/1dbootstrap.py | 1dbootstrap.py | py | 4,418 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number... |
18802049727 | import random
import threading
import time
import pytest
from base.collection_wrapper import ApiCollectionWrapper
from base.utility_wrapper import ApiUtilityWrapper
from common.common_type import CaseLabel, CheckTasks
from common.milvus_sys import MilvusSys
from customize.milvus_operator import MilvusOperator
from co... | milvus-io/milvus | tests/python_client/scale/test_query_node_scale.py | test_query_node_scale.py | py | 16,010 | python | en | code | 24,190 | github-code | 6 | [
{
"api_name": "pymilvus.connections.connect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pymilvus.connections",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "base.utility_wrapper.ApiUtilityWrapper",
"line_number": 31,
"usage_type": "call"
},
... |
71879019387 | '''
Compile list of active quarterbacks (default was 2010-2019)
'''
import requests
import time, os
import random
from fake_useragent import UserAgent
from bs4 import BeautifulSoup
import pandas as pd
def qb_soup_scraper():
'''
Create a list of soup files to search through. Adjust years_list variable to adj... | brokengrappler/QB_TD_Metis_project | Scrape_QB_list.py | Scrape_QB_list.py | py | 3,243 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fake_useragent.UserAgent",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
16002682402 | import dash
from dash import dcc, html
from dash.dependencies import Input, Output, State
import plotly.graph_objs as go
import pandas as pd
import os
from datetime import datetime
import threading
app = dash.Dash(__name__)
# Global variables
bg_spectrum = []
curr_spectrum = []
is_collecting = False
start_time = None... | tamu-edu/tamuq-chen-secarelab-spectrometer | app.py | app.py | py | 6,108 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "dash.Dash",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
73727860028 | #!/usr/bin/env python3
import boutvecma
import easyvvuq as uq
import chaospy
import os
import numpy as np
import time
import matplotlib
# Do not open figures:
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import matplotlib.colors as colors # palette and co.
def rainbow_line(plt, g2, abscissa, colorvec, cb_... | boutproject/VECMA-hackathon | workflows/surrogate_models/2d_loglog_sc/example_numerical_parameters.py | example_numerical_parameters.py | py | 9,967 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotli... |
29686545547 | import mock
import netifaces
from octavia.distributor.backend.agent.api_server import plug
import octavia.tests.unit.base as base
@mock.patch.object(plug, "netifaces")
class TestPlug(base.TestCase):
def test__interface_by_mac_case_insensitive(self, mock_netifaces):
mock_netifaces.AF_LINK = netifaces.AF_... | BeaconFramework/Distributor | octavia/tests/unit/distributor/backend/agent/api_server/test_plug.py | test_plug.py | py | 686 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "octavia.tests.unit.base.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "octavia.tests.unit.base",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "netifaces.AF_LINK",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
18916573833 | from flask import Flask, request, jsonify
from services.services import get_chords
from midiCalculations import *
app = Flask(__name__)
@app.route('/progressionNotes', methods=['POST'])
def progression_notes():
data = request.get_json()
notes = get_notes_of_progression(data['progression'], data['key'])
re... | nihal2001/Chordify | flask-server/server.py | server.py | py | 708 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"li... |
24352641456 | import json
# import the Cline class
from your_file_path import Cline
# import the INRKey class
from your_file_path import INRKey
# create an instance of the Cline class
cline = Cline(url='https://your_url')
# create an instance of the INRKey class with your private key
private_key = 'your_private_key'
i... | whend12/task-4-whendy12 | adjisurya1/push.py | push.py | py | 1,189 | python | en | code | null | github-code | 6 | [
{
"api_name": "your_file_path.Cline",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "your_file_path.INRKey",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 43,
"usage_type": "call"
}
] |
21251776242 | from utils import get_input, submit
def main() -> int:
data = tuple(map(int, get_input(39).split()))
target = 501
winning_darts = 0
player = 0
wins = [0, 0]
leg_start = 0
leg_count = 0
scores = [0, 0]
for s in data:
scores[player] += s
if scores[player] >= target:
... | Manitary/aquaq-challenge | src/p39.py | p39.py | py | 770 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.get_input",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.submit",
"line_number": 33,
"usage_type": "call"
}
] |
29171305635 | import os
import uuid
from pip.req import parse_requirements
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
install_reqs = parse_requirements(os.path.join(here, 'requirements.txt'), session=uuid.uuid1())
reqs = [str(ir.req) for ir in install_reqs]
with open(os.path.joi... | cvegaj/ElectriCERT | cert-verifier/setup.py | setup.py | py | 765 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pip.req.parse_requirements"... |
7921118016 |
from flask import Flask, render_template, request, redirect, url_for
from flask_login import LoginManager, logout_user, current_user, login_user, login_required
from werkzeug.urls import url_parse
from flask import Flask, render_template, send_file
from forms import SignupForm, PostForm, LoginForm, uploadfileForm,... | gapl1542/GitHubGilman1 | run.py | run.py | py | 11,801 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "flask_login.LoginManager",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "flas... |
31539119074 | # Check out the README file before
import os
# model
import torch
import torch.nn as nn
import torchvision.models as models
# image
import numpy as np
import cv2 as cv
import albumentations as A
from albumentations.pytorch import ToTensorV2
NUM_OF_CLASSES = 7
model = models.resnext50_32x4d(pretrained=True)
dim_in ... | LidorAmitay/Final_Project | load_model_and_predict.py | load_model_and_predict.py | py | 2,468 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.models.resnext50_32x4d",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
37808782731 | """
aws emr add-steps --cluster-id j-1QAORT274XV3E --steps Type=Spark,Name="Kinesis-SQL",ActionOnFailure=CONTINUE,Args=[--jars,s3://sparkkinesis/spark-sql-kinesis_2.11-1.2.1_spark-2.4-SNAPSHOT.jar,s3://sparkkinesis/kinesis_example.py,kinesis-sql,ExampleInputStream,https://kinesis.us-east-1.amazonaws.com,us-east-1]
""... | AndersonRodr/aws-UFRPE-PISI-IV | S3-EMR/kinesisEMR.py | kinesisEMR.py | py | 4,287 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder... |
40129932614 | #!/usr/bin/env python3
import sys
import numpy as np
sys.setrecursionlimit(10**6)
INF = 10 ** 11 # sys.maxsize # float("inf")
MOD = 10 ** 9 + 7
def debug(*x):
print(*x, file=sys.stderr)
def solve(N, data):
xs, ys, ps = data.reshape((N, 3)).T
candidate = [(0, x) for x in xs]
candidate += [(1, y) fo... | nishio/atcoder | m-solutions2020/e.py | e.py | py | 3,318 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.minimum",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"l... |
14008415977 | # Next steps read and try examples
# https://docs.python.org/3/library/multiprocessing.html
from multiprocessing import Process
import os
import time
# dummy example
def square_numbers():
for i in range(100):
i * i
time.sleep(1)
processes = []
num_processes = os.cpu_count()
print(num_pro... | JeffreyAsuncion/Python_Intermediate_FCC | 15_ThreadingVsMultiprocess/multiprocessing1.py | multiprocessing1.py | py | 800 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.cpu_count",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 22,
"usage_type": "call"
}
] |
30755166945 | from collections import deque as dq
r = 8
c = 8
start = []
end = []
g = [list(input()) for i in range(r)]
s = [0 for i in range(r)]
ms = 9
js = []
for i in range(r):
for j in range(c):
if g[i][j] == 'M':
start = [i, j]
a = []
elif g[i][j] == 'A':
end = [i, j]
... | Tanguyvans/Codeforces | BR_94/A.py | A.py | py | 1,643 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 36,
"usage_type": "call"
}
] |
15688485015 | import csv
import urllib.request
import codecs
import sys
import json
import re
# Get all site records on DEIMS-SDR and return a list of IDs.
#
# network argument must be the ID of a network. If provided, only sites
# from that network are returned.
#
# verified_only argument must be a boolean - if True, only returne... | stopopol/deims_dcat | deims.py | deims.py | py | 2,244 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.field_size_limit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.request.urlopen",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "... |
1701902648 | import numpy as np
import scipy
import skimage
from monai.transforms import Compose, EnsureChannelFirst, BorderPad
def intensity_std(regionmask, intensity_image):
return np.std(intensity_image[regionmask])
def intensity_range(regionmask, intensity_image):
return np.ptp(intensity_image[regionmask])
def intensit... | ruiqic/qOBM_classification | qOBM_classification/feature_extraction.py | feature_extraction.py | py | 6,807 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.std",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.ptp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.stats.kurtosis",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number... |
14366430651 | # arechickentendersubsonsale.py
import tkinter as tk
from tkinter import *
import selenium
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
from functools import partial
''' Purpose: The people need to know i... | markjsapp/Publix-Subsale | arechickentendersubsonsale.py | arechickentendersubsonsale.py | py | 1,984 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.PhotoImage",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tkinter.PhotoImage",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlop... |
51087304 | """
File used for testing everything from time_management.py. This mostly referes to the instances of
TimeManager as the Clock is not really interesting.
"""
import unittest
import time
import chess
import test_baseclass
import time_management
class TimeManagerTest(test_baseclass.ChessTest):
"""
Testing time ... | stefreschke/Klausfish | tests/test_time_management.py | test_time_management.py | py | 1,657 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "test_baseclass.ChessTest",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "time_management.Clock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time_management.TimeManager",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
33639648611 | from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import get_object_or_404, render_to_response, redirect
from django.views.decorators.csrf import csrf_protect
from django.template import RequestContext
from urllib import urlopen, urlencode
import datetime
from pbwikidjango.coding_tool.m... | sethwoodworth/pbwikidjango | coding_tool/views.py | views.py | py | 5,266 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "urllib.urlopen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "django.template.RequestContext",
"line_number": 37,
"usage_type": "call"
},
{
... |
20802661906 | from django.urls import path
from . import views
# app_name = "baseapp"
urlpatterns = [
path('', views.index, name='index'),
path('dashboard/', views.dashboard, name='dashboard'),
path('new-profile/', views.profileCreation, name='profile-creation'),
path('my-profile-tab', views.myProfileTab, name='my... | dewanwakilahmed/music_battle | baseapp/urls.py | urls.py | py | 1,506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
37715474629 | import pandas as pd
import sweetviz as sv
import pickle
import random
import ast
import json
from jinja2 import Environment, FileSystemLoader
import translators as ts
import pandas as pd
from deeptranslit import DeepTranslit
from functools import cmp_to_key
from deep_translator import GoogleTranslator
from google_trans... | HrudaiKoda/Web-Crawling-Players | telugu_data/handle_debuts.py | handle_debuts.py | py | 6,273 | python | te | code | 0 | github-code | 6 | [
{
"api_name": "google_trans_new.google_translator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "deeptranslit.DeepTranslit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.isnull",
"line_number": 28,
"usage_type": "call"
},
{
"api_na... |
75180597306 | """Base page element"""
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
class BasePageElement:
def __init__(self, loc: tuple, wait: WebDriverWait = None, root: WebElement = None)... | Necronexuz/StensulTest | stensul/src/elements/base_page_element.py | base_page_element.py | py | 2,578 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.remote.webelement.WebElement",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.remote.webelement.WebElement",
... |
32554249640 | import re
import logging
from persistent import Persistent
from BTrees.OOBTree import OOBTree
from BTrees.IOBTree import IOBTree
from BTrees.OIBTree import OIBTree
from zope.container.contained import Contained
from zope.annotation.interfaces import IAttributeAnnotatable
import zope.interface
from zope.schema import ... | PMR2/pmr2.oauth | pmr2/oauth/scope.py | scope.py | py | 15,146 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "zope.container.contained.interface.implements",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pmr2.oauth.interfaces.IScopeManager",
"line_number": 35,
"usage_type": "a... |
5246058347 | from sklearn.datasets import load_breast_cancer
from croatoan_visualizer.visualizer import Visualizer
def test_binary():
X, y = load_breast_cancer(return_X_y=True, as_frame=True)
vis = Visualizer(
df=X.reset_index(),
id_column="index",
target_column=None
)
vis.pca2d()
vi... | VolodymyrVozniak/feature-visualizer | tests/test_without_targets.py | test_without_targets.py | py | 548 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "croatoan_visualizer.visualizer.Visualizer",
"line_number": 9,
"usage_type": "call"
}
] |
8832511538 | def q(x):
return 2 * x + 1
if __name__ =='__main__':
from matplotlib import pyplot as plt
import numpy as np
x = np.array(range(0, 10+1))
plt.figure(figsize=(10, 7))
plt.plot(x, q(x), color='green', marker='o')
plt.title("q(x) = 2x + 1")
plt.xlabel('Seconds')
plt.ylabel('Meters')
pl... | drigols/studies | modules/math-codes/modules/differential-calculus/rate-of-change/src/meters_travelled_by_cyclist.py | meters_travelled_by_cyclist.py | py | 464 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
6070026917 |
# coding: utf-8
import argparse
import codecs
import os
import pandas as pd
from utils.read_ivectors import read_ivecs_set
dialects = ['EGY', 'GLF', 'LAV', 'MSA', 'NOR']
INTERP_PARAM = 0.83
def parse_arguments():
'''Parses command line arguments.
Returns
-------
args : Dictionary of command line... | ai-zahran/arabic_asr_and_di | arabic_dialect_identification/dialect_enrollment.py | dialect_enrollment.py | py | 4,835 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.read_ivectors.read_ivecs_set",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "utils.read_ivectors.read_ivecs_set",
"line_number": 132,
"usage_type": "call"... |
7265583920 | import scrapy
from lianjia.items import LianjiaItem
class ljSpider(scrapy.Spider):
name = "lj"
allowed_domains = ["lianjia.com/ershoufang"]
start_urls = []
for i in range(1, 6):
url = 'https://bj.lianjia.com/ershoufang/dongcheng/pg' + str(i)
start_urls.append(url)
url = 'https:/... | Seizzzz/DailyCodes | Course 202009/Python/Scrapy/lianjia/lianjia/spiders/ljSpider.py | ljSpider.py | py | 1,674 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "lianjia.items.LianjiaItem",
"line_number": 19,
"usage_type": "call"
}
] |
33945305201 | import numpy as np
import torch
import torch.nn as nn
from sklearn.metrics import roc_curve, auc
class AUC(nn.Module):
def __init__(self):
super(AUC, self).__init__()
def forward(self, pred, target):
p_n = pred.cpu().detach().numpy()
t_n = target.cpu().detach().numpy()
... | pradeep1018/Reliable-Medical-Image-Classification-with-Saliency-Maps-and-Calibration | metrics.py | metrics.py | py | 593 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics... |
73847935866 | from typing import Union
import funcy
from dominate.tags import html_tag, th, thead, tr
from iolanta.namespaces import IOLANTA
from iolanta_tables.facets.html.base import IolantaTablesFacet
from iolanta_tables.models import TABLE
class TableHeader(IolantaTablesFacet):
"""
Table head.
<thead> tag.
"... | iolanta-tech/iolanta-tables | iolanta_tables/facets/html/header.py | header.py | py | 1,227 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "iolanta_tables.facets.html.base.IolantaTablesFacet",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dominate.tags.tr",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "dominate.tags.th",
"line_number": 27,
"usage_type": "call"
},
{
... |
8357360811 | from rest_framework import status
from rest_framework.response import Response
def parse_response(data, status_code=status.HTTP_200_OK, response="Ok", message="None"):
output = {
"Response": response,
"Message": message,
"Status": status_code,
"Data": data,
}
return Respons... | khuram2025/channab | api/utils.py | utils.py | py | 354 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.status.HTTP_200_OK",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.status",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 12,
"usage_type": "call"
}... |
34288508852 | import requests
import os
from dotenv import load_dotenv
os.system('cls')
load_dotenv()
BASE_URL = "http://api.openweathermap.org/data/2.5/weather"
print("+----------------+")
print("| WEATHER STATUS |")
print("+----------------+")
input_city = input("\n📍Enter a city name: ")
request_url = f"{BASE_URL}?appid={os.... | farhan2077/weather-status | main.py | main.py | py | 792 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number"... |
22323967132 | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
#Image Smoothing is a technique to reduce noise in an image. Here, we have discused varioud ways to smooth an image, namely filter2D, blur, GaussianBlur, medianBlur, and bilateralFilter.
img = cv.imread("D:\\ImgData\\input\\image.jpg")
#Creati... | vermaprince123/Computer-Vision-and-Image-Processing | CV and IP/ImgData/smoothning.py | smoothning.py | py | 1,889 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.filter2D",
"line_numb... |
31240816858 | #!/usr/bin/env python
# coding=utf-8
"""
classes for preporcess data
"""
# Author: Geel
from sklearn.preprocessing import LabelEncoder
from washer.sample.feature import FeatSampler
__all__ = ["PrePorcesser"]
class PrePorcesser(object):
def __init__(self):
pass
def divideDataset(self, df, ratioList):
samp... | geelisready/washer | model/preprocess.py | preprocess.py | py | 2,908 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "washer.sample.feature.FeatSampler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "washer.sample.feature.FeatSampler",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 55,
"usage_type":... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.