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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
38515082623 | from typing import Any, Dict
from sklearn.base import BaseEstimator, ClassifierMixin
from .pipeline import SentimentPipeline, MetricTracker
from .utils import build_object
import numpy as np
import torch
from torch import Tensor
from pytorch_lightning import Trainer, seed_everything
from .dataset import FinNewsDataset
... | crypto-sentiment/crypto_sentiment_notebooks | notebooks/bert_calibartion_utils/sklearn_estimator.py | sklearn_estimator.py | py | 2,872 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sklearn.base.ClassifierMixin",
"line_number": 17,
"usage_type": "name"
},
{
"api_name"... |
69923765308 | import logging
import pandas as pd
from sqlalchemy import create_engine
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def extract_from_logs():
# Code to extract data from logs
# Example: Read log files and store data in a pandas DataFrame
log_data = pd.r... | Babarindeolanrewaju2/Practises- | datapipeline2.py | datapipeline2.py | py | 2,451 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv"... |
42420354637 | import sqlite3
import datetime
##################################################
# #
# my_logger #
# #
# to use - import function in your program #
# - record your log wi... | namaspamouss/mod | my_logger.py | my_logger.py | py | 2,397 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "datetime... |
4607742915 | from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL.GLUT import *
import pygame, pygame.image
from pygame.locals import *
import numpy as np
import math
import re
import glob
import cv2
import imageio
# import matplotlib.pyplot as plt
def quat2mat(q):
''' Calculate rotation matrix corresponding to quate... | ChiWeiHsiao/Match-Moving | insert3d-pygame.py | insert3d-pygame.py | py | 9,973 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.finfo",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.eye",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
4109643681 | from discord.ext import commands
import discord
import datetime, random, config, math, aiohttp, aiomysql
from collections import Counter
from hurry.filesize import size
from .utils.chat_formatting import pagify
from PIL import __version__ as pilv
from bs4 import __version__ as bsv
from urllib.parse import quote_plus
im... | cambobot-kh/NekoBotRewrite | modules/general.py | general.py | py | 42,828 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Converter",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.BadArgument",
"line_number": 26,
"usage_type": "call"
},
... |
74515684348 | # -*- coding: utf-8 -*-
import scrapy
import time
from selenium import webdriver
from scrapy.selector import Selector
from camping.items import CampingItem
from datetime import date
from datetime import timedelta
import calendar
def getSaturday():
today = date.today()
thisyear = today.year
thismonth ... | mamma1234/crawing-study | camping/camping/spiders/choansan_spider.py | choansan_spider.py | py | 9,971 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "calendar._nextmonth",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "calendar.monthc... |
2684678011 | from django.urls import path
from . import views
urlpatterns = [
path('car', views.user_car),
path('menu/member-orders', views.member_order),
path('menu/non-member-orders', views.non_member_order),
path('end', views.user_end),
path('analyzer', views.stem_analyzer),
] | DriveThruAiHknu/drivethru | driveapp/clienturls.py | clienturls.py | py | 289 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
21448240323 | from flask import make_response
from werkzeug.exceptions import InternalServerError
from werkzeug.exceptions import HTTPException
from depo_control.exceptions import Error
import sentry_sdk
def register_error_handlers(app):
@app.errorhandler(HTTPException)
def handle_HTTPException(e):
""" Werkzeug im... | Felipe-53/depo-control--backend | depo_control/error_handling.py | error_handling.py | py | 1,810 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sentry_sdk.capture_exception",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "werkzeug.exceptions.HTTPException",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "flask.make_response",
"line_number": 36,
"usage_type": "call"
},
{... |
16463802201 | from functools import lru_cache
from models.decision import Decision
import gvars
from lib import util
class BreakingDecision(Decision):
def __init__(self, monitor, density_data):
Decision.__init__(self, monitor)
self.density_data = density_data
self.breaking_duration_ok = False
s... | bsampietro/algo_trading | models/breaking_decision.py | breaking_decision.py | py | 5,731 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "models.decision.Decision",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.decision.Decision.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.decision.Decision",
"line_number": 9,
"usage_type": "name"
},
{
"... |
34029410667 | import os
import time
import pyproj
def gps_to_xy(lon,lat): #Convert the GPSs to xy
EPSG4612 = pyproj.Proj("+init=EPSG:4612") #http://sanvarie.hatenablog.com/entry/2016/01/04/170242
EPSG2451 = pyproj.Proj("+init=EPSG:2451") #Japan - zone-9 http://d.hatena.ne.jp/tmizu23/20091215/1260868350
y,x = pyproj.tr... | m4lf0y/research_progs | 20170424plot_rssi_color/test_lonlat_rssi.py | test_lonlat_rssi.py | py | 816 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyproj.Proj",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyproj.Proj",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyproj.transform",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numb... |
30093897625 | # import pygame
import random
import sys
import os
import platform
import pygame
from params import *
from weapon_operations import *
from pygame.locals import *
import serial
import queue
import random
# from numpy import format_parser
# from pygame.surface import Surface, SurfaceType
if platform.system() == 'Windo... | Sigalga/Tamajouki | top.py | top.py | py | 24,977 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "platform.system",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"l... |
43971266066 | import json
import os
import time
from io import StringIO
from Bio import Entrez, SeqIO
Entrez.tool = "GalaxyEutils_1_0"
BATCH_SIZE = 200
class Client(object):
def __init__(self, history_file=None, user_email=None, admin_email=None, api_key=None):
self.using_history = False
if user_email is no... | TAMU-CPT/galaxy-tools | tools/ncbi_entrez_eutils/eutils.py | eutils.py | py | 5,111 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "Bio.Entrez.tool",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "Bio.Entrez",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "Bio.Entrez.email",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "Bio.Entrez",
... |
36472291201 | from flask import Flask, render_template, request
from .scheduler import *
app = Flask(__name__)
username = None
date = None
# endpoint for homepage
@app.route("/", methods=["GET", "POST"])
def home():
global username
if request.method == "POST":
logout("")
username = None
return render_t... | PatrickShawn/vaccine_scheduler | vaccine-scheduler-python-master/src/main/vaccine_scheduler.py | vaccine_scheduler.py | py | 4,980 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.render_templ... |
32115916941 | import time
import platform
import pynvml
from memory_profiler import memory_usage
BATCH_SIZES = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
SAMPLE_RATE = 44100
SOUND_DURATION = 4.0
N_BATCHES = 100
N_ROUNDS = 10
timer = time.perf_counter
def auto_device():
try:
pynvml.nvmlInit()
device_count = ... | PapayaResearch/synthax | experiments/profiling/common.py | common.py | py | 1,464 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "time.perf_counter",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pynvml.nvmlInit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pynvml.nvmlDeviceGetCount",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pynv... |
35103519666 | import pygame.font
class playbutton():
def __init__(self,screen,text):
self.screen = screen
self.screen_rect = self.screen.get_rect()
#必要的按键参数
self.width,self.height = 200.50
self.buttoncolor = (0,255,0)
self.textcolor = (255,255,255)
self.font = py... | sunset-glory/bean_man | 吃豆人/button.py | button.py | py | 1,063 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pygame.font.font.SysFont",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.font.font",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.font",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pygame.fon... |
70622970427 | import argparse
import torch
from tqdm import tqdm
import logging
import sys
import re
import evaluate
from time import time
from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
from datasets import load_dataset
import sacrebleu
import math
import numpy as np
class Translator:
def __in... | yesj1234/MT_mBART | scripts/generate_predictions.py | generate_predictions.py | py | 5,058 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sacrebleu.BLEU",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "evaluate.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
72014800828 | import os
import numpy as np
from .Datasets import Dataset
from enum import Enum
class SignalsWharf(Enum):
acc_right_wrist_X = 0
acc_right_wrist_Y = 1
acc_right_wrist_Z = 2
actNameWHARF = {
1: 'Brush teeth',
2: 'Climb stairs',
3: 'Comb hair',
4: 'Descend stairs',
5: 'Drink gl... | jesimonbarreto/SensorsDataset | frankDataset/Dataset/Wharf.py | Wharf.py | py | 1,888 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "Datasets.Dataset",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "os.walk",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": ... |
26392196815 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 15 14:19:02 2022
@author: Usuario
"""
from tkinter import messagebox
import tkinter as tk
from tkinter.messagebox import showinfo
from tkinter import filedialog
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.colors ... | 24Denis/Examen2 | examen_II_U.py | examen_II_U.py | py | 9,086 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "tkin... |
1293592931 | import numpy as np
import onnx
from tests.tools import expect
class Constant:
@staticmethod
def export(): # type: () -> None
values = np.random.randn(5, 5).astype(np.float32)
node = onnx.helper.make_node(
'Constant',
inputs=[],
outputs=['values'],
... | gglin001/onnx-jax | tests/node/test_constant.py | test_constant.py | py | 679 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "numpy.random.randn",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "onnx.helper.m... |
8933287080 | import datetime
import shutil
from tkinter import Tk, filedialog
import pandas as pd
from openpyxl import load_workbook
root = Tk()
root.withdraw()
# 打开FLS SUP OM Kit Report
om_kit_report = filedialog.askopenfilename(
title="FLS SUP OM Kit Report", filetypes=[("All files", "*")])
# 生成原始df
df_om = pd.read_excel(
... | wllkoala/FLS-SUP-OM-Kit-Report | FLS SUP OM Kit Report.py | FLS SUP OM Kit Report.py | py | 4,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "panda... |
41021619199 | from collections import defaultdict
import csv
import logging
from multiprocessing import Process, Queue, cpu_count
from tempfile import mkstemp
import warnings
import os
import tqdm
from gamesimulator import DEFAULT_TURNS
from gamesimulator.player import Player
from gamesimulator.action import actions_to_str
from .g... | claireheinrich/game_simulator | gamesimulator/tournament.py | tournament.py | py | 10,261 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gamesimulator.action.Action.A",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "gamesimulator.action.Action",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "gamesimulator.action.Action.B",
"line_number": 22,
"usage_type": "attribut... |
73178854589 | from django.test import TestCase
from django.contrib.auth.models import User
from .models import Table, Reservation
from datetime import date, time
class TestTable(TestCase):
def setUp(self):
# Create a test user
self.user = User.objects.create_user(
username='respo',
pass... | Imangnp/Pane-Olio-restaurant | booking_system/test_models.py | test_models.py | py | 4,345 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 11,
"usa... |
72908392828 | from odoo import models, api
from datetime import timedelta, date,datetime
from dateutil.relativedelta import relativedelta
class RegistrarDashboard(models.AbstractModel):
_name = 'registrar.dashboard'
@api.model
def get_student_enrollment(self):
students = self.env['op.student']
... | mrrtmob/odoo_acac | local-addon/pm_dashboard/models/registrar_dashboard.py | registrar_dashboard.py | py | 19,537 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "odoo.models.AbstractModel",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "odoo.api.model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.api"... |
38381830734 | # 给定一个数组，它的第 i 个元素是一支给定股票第 i 天的价格。
# 如果你最多只允许完成一笔交易（即买入和卖出一支股票一次），设计一个算法来计算你所能获取的最大利润。
# 注意：你不能在买入股票前卖出股票。
# 示例 1:
# 输入: [7,1,5,3,6,4]
# 输出: 5
# 解释: 在第 2 天（股票价格 = 1）的时候买入，在第 5 天（股票价格 = 6）的时候卖出，最大利润 = 6-1 = 5 。
# 注意利润不能是 7-1 = 6, 因为卖出价格需要大于买入价格；同时，你不能在买入前卖出股票。
# 示例 2:
# 输入: [7,6,4,3,1]
# 输出: 0
# 解释: 在这种情况下, 没有交易完... | 1lch2/PythonExercise | leetcode/dynamic_programming/121.py | 121.py | py | 1,309 | python | zh | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
}
] |
37797866754 | import fastapi
app = fastapi.FastAPI()
@app.post('/login')
def login():
"""
Authenticates a user using email or phone number.
Returns a token on success.
request body:
- username or phone number: unique identification for user
- password
"""
return "Fake token" | Cavein254/socialauth | main.py | main.py | py | 299 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 3,
"usage_type": "call"
}
] |
27646419960 | """
This script will extract two intensity features, median and std, as well as six haralick features from image.
It is tested to work with Visium he and if images.
A conda env is available in the project folder.
# input folder must have the raw tif image and the spot_metadata csv file.
# The spot metadata file MUST ... | yunguan-wang/SPROD | sprod/feature_extraction.py | feature_extraction.py | py | 9,755 | python | en | code | 28 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
71971292349 | import cloudpickle
import tarfile
from kubeflow.fairing.preprocessors.function import FunctionPreProcessor
def test_simple_function():
def foo_test():
return "bar"
foo_test.__module__ = '__main__'
fnp = FunctionPreProcessor(foo_test)
context_file, _ = fnp.context_tar_gz()
tar = tarfile.op... | kubeflow/fairing | tests/unit/preprocessors/test_function_preprocessor.py | test_function_preprocessor.py | py | 462 | python | en | code | 336 | github-code | 6 | [
{
"api_name": "kubeflow.fairing.preprocessors.function.FunctionPreProcessor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tarfile.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cloudpickle.load",
"line_number": 15,
"usage_type": "call"
}
... |
33669157796 | import yaml
from fedn.utils.pytorchhelper import PytorchHelper
from models.bert_pytorch_model import SentimentClassifier
from util.transformations import weights_to_np
if __name__ == '__main__':
with open('settings.yaml', 'r') as fh:
try:
settings = dict(yaml.safe_load(fh))
except yaml.YAMLError as e:
ra... | oscareriksson/FEDn-Swedish-BERT | client/init_model.py | init_model.py | py | 527 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yaml.safe_load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yaml.YAMLError",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "models.bert_pytorch_model.SentimentClassifier",
"line_number": 16,
"usage_type": "call"
},
{
"... |
3125999405 | from copy import copy
from schema import Role, Scope
from result import Success, Failure, NotUnderstoodFailure
class InvalidRoleConfiguration(Exception):
def __init__(self, name, required_unassigned):
self.name = name
self.required_unassigned = required_unassigned
class Consequence:
def __in... | ccastiglione/adventure | action.py | action.py | py | 8,504 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "schema.Role.PATIENT",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "schema.Role",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "schema.Role.GOAL",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "schema.Rol... |
25147488083 | import logging
from napalm.core import ReloadableModel, ExportableMixIn
from napalm.play.game import GameConfigModel
from napalm.play.house import Player
from napalm.play.protocol import MessageCode, MessageType, RoomType, FindAndJoin, TournamentType
from napalm.socket.parser import CommandParser
from napalm.utils imp... | markelov-alex/py-sockets | napalm/play/lobby.py | lobby.py | py | 47,224 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "napalm.core.ReloadableModel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "napalm.socket.parser.CommandParser.make_room_code",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "napalm.socket.parser.CommandParser",
"line_number": 68,
"us... |
72531877949 | # pylint: disable=no-name-in-module
# pylint: disable=no-value-for-parameter
# pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
import json
from collections.abc import Callable
from pathlib import Path
from pprint import pprint
import sqlalchemy as sa
from aiopg.sa.engine import Engine
from aio... | ITISFoundation/osparc-simcore | packages/postgres-database/tests/products/test_models_products.py | test_models_products.py | py | 6,303 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "aiopg.sa.engine.Engine",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "collections.abc.Callable",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "simcore_postgres_database.webserver_models.products.c",
"line_number": 32,
"usage_type": ... |
31701538535 | import pandas as pd
import panel as pn
import matplotlib.pyplot as plt
import seaborn as sns
# Supposons que vous ayez une DataFrame appelée "df" contenant votre dataset
# Vous pouvez charger votre dataset depuis un fichier CSV par exemple
# Premier Histograme pour voir la distribution de popularité
def create_popular... | chaimaskh/Projet_Data_Viz | Components/EDA/Histogram3.py | Histogram3.py | py | 4,496 | python | fr | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mat... |
35333719038 | from rest_framework import viewsets, status, filters
from rest_framework.response import Response
from .models import School, Student
from .serializers import SchoolSerializer, StudentSerializer, SchoolSerializerWithoutStudentsMaxNumber
class SchoolModelViewSet(viewsets.ModelViewSet):
serializer_class = SchoolSe... | yesseyev/mantala-test | django_test/school/views.py | views.py | py | 2,579 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "serializers.SchoolSerializer",
"line_number": 9,
"usage_type": "name"
}... |
24585743404 | import numpy as np
class NaiveBayes:
def fit(self, X, y):
# get sample numbers and feature numbers
n_samples, n_features = X.shape
# get unique class labels and numbers
self._class = np.unique(y)
n_classes = len(self._class)
# init mean, var, priors
self.... | Nahr-C/Machine-Learning- | Naive Bayes.py | Naive Bayes.py | py | 2,919 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.unique",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_n... |
26221852562 | from pyarrow._compute import ( # noqa
FilterOptions,
Function,
FunctionRegistry,
function_registry,
call_function,
TakeOptions
)
import pyarrow as pa
import pyarrow._compute as _pc
def cast(arr, target_type, safe=True):
"""
Cast array values to another data type. Can also be invoked ... | ejnunn/PPE-Object-Detection | env/lib/python3.7/site-packages/pyarrow/compute.py | compute.py | py | 8,524 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "pyarrow._compute.CastOptions.safe",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "pyarrow._compute.CastOptions",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "pyarrow._compute",
"line_number": 66,
"usage_type": "name"
},
{
... |
39275836100 | import datetime
import functools
import os
import os.path
import random
import sys
import time
import traceback
from io import BytesIO
from Bot import EMOJI_RED_NO, SERVER_BOT
from PIL import Image
from disnake.ext import commands
from pyvirtualdisplay import Display
# The selenium module
from selenium import webdrive... | wrkzcoin/TipBot | wrkzcoin_tipbot/cogs/coinmap.py | coinmap.py | py | 5,055 | python | en | code | 137 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",... |
33197611628 | from PySide2.QtCore import QDir, Qt
from PySide2.QtGui import QImage, QPainter, QPalette, QPixmap
from PySide2.QtWidgets import (QAction, QApplication, QFileDialog, QLabel,
QMainWindow, QMenu, QMessageBox, QScrollArea, QSizePolicy)
from PySide2.QtPrintSupport import QPrintDialog, QPrinter
class ImageViewerSer... | Pedja1201/Projekat-RukovalacDokumentima | plugins/image_viewer_service/widget.py | widget.py | py | 5,589 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QMainWindow",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PySide2.QtPrintSupport.QPrinter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QLabel",
"line_number": 17,
"usage_type": "call"
},
{
... |
2932096074 | import sys
sys.path.append('/opt')
from constant import Status
from common.logger import get_logger
from application.services.event_listener import EventListener
from application.services.trigger_listener import TriggerListener
logger = get_logger(__name__)
def listen_to_ethereum_events(event, context):
logger... | singnet/snet-eth-event-listener | application/handlers/event_listener_handler.py | event_listener_handler.py | py | 1,199 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "common.logger.get_logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "constant.Status.... |
40156036312 | """
test iotools for PSM3
"""
from pvlib.iotools import psm3
from conftest import needs_pandas_0_22, DATA_DIR
import numpy as np
import pandas as pd
import pytest
from requests import HTTPError
from io import StringIO
TMY_TEST_DATA = DATA_DIR / 'test_psm3_tmy-2017.csv'
YEAR_TEST_DATA = DATA_DIR / 'test_psm3_2017.csv'... | Samuel-psa/pvlib-python | pvlib/tests/iotools/test_psm3.py | test_psm3.py | py | 4,423 | python | en | code | null | github-code | 6 | [
{
"api_name": "conftest.DATA_DIR",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "conftest.DATA_DIR",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "conftest.DATA_DIR",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.allclose"... |
17292663762 | import pandas as pd
import numpy as np
import google.cloud.storage as storage
from datetime import datetime, timedelta
import traceback
import pymysql
import openpyxl
pymysql.install_as_MySQLdb()
sqlengine = None
def prepare_wyeth_report(event, context):
"""Triggered by a change to a Cloud Storage bucket.
Arg... | MohamadHaziq/gcp-cloudfunctions | wyeth_report.py | wyeth_report.py | py | 9,059 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.install_as_MySQLdb",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "google.cloud.storage.Client",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "google.cloud.storage",
"line_number": 31,
"usage_type": "name"
},
{
"api_na... |
34030328032 | """
DB models
"""
from decimal import Decimal
from enum import IntEnum
from sqlalchemy import (
Column,
Integer,
Numeric,
BigInteger,
String,
ForeignKey,
SmallInteger,
Boolean,
DateTime,
func,
)
from wallet_service.config import Base
class Currency(IntEnum):
USD = 1
cla... | SeriousMarc/wallet-service | src/wallet_service/models.py | models.py | py | 1,280 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "wallet_service.config.Base",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Colum... |
35002916406 | # python3
import os
import json
import html
import mistune
import yaml
from step import Template
VERSION = '0.1.3'
__all__ = ['Doc', 'Note', 'Api', 'Param', 'PathParam', 'QueryParam', 'BodyParam', 'PP', 'QP', 'BP', 'readf']
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
TRUE_SVG = open(os.path.join(BAS... | taojy123/eave | eave/eave.py | eave.py | py | 9,219 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
3478045090 | from pathlib import Path
from typing import TYPE_CHECKING, List
from hydra import compose, initialize_config_dir
from hydra._internal.config_loader_impl import ConfigLoaderImpl
from hydra.core.override_parser.overrides_parser import OverridesParser
from hydra.errors import ConfigCompositionException, OverrideParseExce... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc/utils/hydra.py | hydra.py | py | 2,828 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "hydra.initialize_config_dir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "hydra.co... |
24402618895 | import torch
import torch.nn as nn
class Block(nn.Module):
def __init__(self,
input_size,
output_size,
use_batch_norm=True,
dropout_p=.4):
self.input_size = input_size
self.output_size = output_size
self.use_batch_nor... | Daehyun-Bigbread/Deep-Learning-AI- | Deep_learning Kindergarden/16-practical_exercise/model.py | model.py | py | 1,929 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.BatchNorm1d",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
33553985561 | from rest_framework import viewsets, status
from rest_framework.exceptions import ValidationError, NotFound
from rest_framework.response import Response
from .serializers import Page, PageSerializer
from .services import get_filter_position_params
class PageViewSet(viewsets.ModelViewSet):
"""
"""
queryse... | famiyNataMatvey-AndroidGit/chipicao | backend/chipicao/api/page/page.py | page.py | py | 2,247 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "serializers.Page.objects.all",
"line_number": 12,
"usage_type": "call"
... |
8493345652 | from typing import *
import matplotlib.pyplot as plt
from matplotlib import gridspec
def mpl_shared_xaxis(y0: List[float], *args, yLabels: List[str] = None, colors: List[str] = None, xLabel: str = None, showGrid: bool = True) -> plt.Figure:
"""
Creates a figure with 1..n vertically aligned plots with a shared x axi... | mathklk/mpl-shared-xaxis | mpl_shared_xaxis.py | mpl_shared_xaxis.py | py | 3,708 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "matplotlib.gridspec.GridSpec",
"line_number": 48,
"usage_type": "call"
},
{
"api_name"... |
1654779164 | import time
import cv2
import os
import sqlite3
import pandas as pd
import matplotlib.pyplot as plt
import copy
import random
import numpy as np
import seaborn as sns
import csv
import pandas as pd
import argparse
import threading
from IPython.display import HTML
from PIL import Image
parser = argparse.ArgumentParser... | talsperre/distracted-driving-snapchat | classifier_code/infer_pipeline/frame_split.py | frame_split.py | py | 2,225 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_COUNT",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name":... |
3545211627 | from django.db import models
STATUS_CHOICES = (
("active", ("active")),
("inactive", ("inactive"))
)
class Category(models.Model):
code = models.CharField(max_length=10, blank=False, null=False)
title = models.CharField(max_length=10, blank=False, null=False)
description = models.TextField(max_le... | OrlandoCuervoV/technical_test | src/categories/models.py | models.py | py | 752 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
1445785101 | from arctic import Arctic
from .config import AdagioConfig
arctic_store = Arctic(AdagioConfig.arctic_host)
def get_library(library_name):
""" Return arctic library. Library is initialised if not exists
:rtype: arctic.store.version_store.VersionStore
"""
libraries = arctic_store.list_libraries()
... | thoriuchi0531/adagio | adagio/utils/mongo.py | mongo.py | py | 447 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "arctic.Arctic",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "config.AdagioConfig.arctic_host",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.AdagioConfig",
"line_number": 5,
"usage_type": "name"
}
] |
73675511546 | from django.http import HttpResponse
from shpformat import *
from django.db.models import Q
from operator import __or__ as OR
from constants import *
def time_filter(years, months, qs):
if years is not None and years != 'all':
years = years.split(',')
years_lst = []
for i in years:
... | Mosquito-Alert/mosquito_alert | tigapublic/lib.py | lib.py | py | 2,874 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "django.db.models.Q",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "operator.__or__",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "django.db.models.Q",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "operator.__... |
19027321092 | import tensorflow as tf
from src.data.data_utils import get_stratified_TrainValFrames, load_relevant_data_subset
from src.augmentations import *
import os
from tqdm import tqdm
from src._old.preprocessing_layers import PreprocessLayer
# Model Config
# Epsilon value for layer normalisation
LAYER_NORM_EPS = 1e-6
# Dens... | schlafel/CAS-AML-FINAL-PROJECT | src/_old/tf_transfomer_model_scaled.py | tf_transfomer_model_scaled.py | py | 5,844 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tensorflow.keras",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.initializers.constant",
"line_number": 31,
"usage_type": "call"
},
{
... |
26654630523 | from nltk.tokenize import sent_tokenize, word_tokenize
from numpy import number
import os
#from t2e import predict_events, predict_sentence_events
from classes import *
from qa import run_QA
import ndjson
from utils import *
from random import shuffle
from collections import Counter, OrderedDict
import numpy as np... | anonymoussubmissions94/CIKM2022_submission | main.py | main.py | py | 28,323 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "spacy.blank",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"lin... |
2745829827 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
sys.path.append("../")
from websocket_server import WebsocketServer
import json
from pose_detection import pose_detection, initial
def new_client(client, server):
server.send_message_to_all("Hey all, a new client has joined us")
def message_received(client,... | zhengxiangyue/joint_capture | service.py | service.py | py | 909 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pose_detection.pose_detection",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps"... |
27172624950 | import logging
import multiprocessing
from multiprocessing import Process
import time
from cloudServer import CloudServer
from thirdparty.Ping import quiet_ping
from thirdparty.Singleton import Singleton
@Singleton
class Works:
def __init__(self):
self.processes = []
self.is_running = False
... | vlrod/asprobe | pyprobe/works.py | works.py | py | 1,727 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.debug",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
12172240691 | import logging
import datetime
import functools
import time
import threading
import importlib
import inspect
import lib.log
from collections import OrderedDict
logger = logging.getLogger('')
class ExtLogicPlugin():
SCHEDULE_RUN_LOGICS = 'Extended Logic run'
LOG_BUFFER_SIZE = 100
def __init__(self, smarth... | aakso/smarthome-extlogic | core.py | core.py | py | 4,070 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lib.log.log.Log",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "lib.log.log",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "lib.log",
"lin... |
72490595388 | from PyQt5 import QtWidgets, QtCore, QtGui
from renamer_gui import Ui_MainWindow
from os.path import expanduser
import rename.main
import os
import sys
import logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(message)s')
class MyWindow(Ui_MainWindow):
def __init__(self):
super(MyWi... | Jaush-M/renamer-gui | main.py | main.py | py | 10,762 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "renamer_gui.Ui_MainWindow",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.... |
19326855214 | #
# The main search hooks for the Search Flask application.
#
from flask import (
Blueprint, redirect, render_template, request, url_for
)
from week1.opensearch import get_opensearch
bp = Blueprint('search', __name__, url_prefix='/search')
# Process the filters requested by the user and return a tuple that is a... | gsingers/search_fundamentals_course | week1/search.py | search.py | py | 5,424 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.... |
15933651667 | # !/usr/bin/python3
# -*- coding: UTF-8 -*-
# author : zc.ding@foxmail.com
# desc : 初始化web、services运行环境
from handler import config_handler
from utils import cmd_util, file_util
import os
import logging
import coloredlogs
coloredlogs.install(level=logging.DEBUG, fmt='%(asctime)s %(filename)s[line:%(lineno)... | zcding001/stroll | script/handler/running_env_handler.py | running_env_handler.py | py | 5,381 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "coloredlogs.install",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "handler.config_handler.get_node_info",
"line_number": 21,
"usage_type": "call"
},
{
"api_n... |
26306014478 | #!/usr/bin/python3
"""Script interacts with API to retrieve and present data"""
if __name__ == '__main__':
import json
from requests import get
from sys import argv
users = get('https://jsonplaceholder.typicode.com/users').json()
tasks_dict = {}
for user in users:
todos = get(
... | AndyMSP/holbertonschool-system_engineering-devops | 0x15-api/3-dictionary_of_list_of_dictionaries.py | 3-dictionary_of_list_of_dictionaries.py | py | 877 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 31,
"usage_type": "call"
}
] |
42657281697 | from unittest import mock
import pytest
from aioworkers.utils import import_uri
from aioworkers.worker.updater import BaseUpdater, PipUpdater
@pytest.fixture
def config(config):
config.update(
base_updater=dict(
cls=import_uri(BaseUpdater),
autorun=False,
),
pip_u... | aioworkers/aioworkers | tests/test_worker_updater.py | test_worker_updater.py | py | 969 | python | en | code | 38 | github-code | 6 | [
{
"api_name": "aioworkers.utils.import_uri",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "aioworkers.worker.updater.BaseUpdater",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "aioworkers.utils.import_uri",
"line_number": 17,
"usage_type": "cal... |
11670698263 | # See https://www.codingame.com/ide/challenge/spring-challenge-2022
import sys
from collections import defaultdict
from dataclasses import dataclass
from enum import Enum
from functools import partial
from typing import Optional, Union
class EntityType(Enum):
MONSTER = 0
MY_HERO = 1
OPPONENT_HERO = 2
c... | bdaene/codingame | challenges/spring_challenge_2022.py | spring_challenge_2022.py | py | 11,450 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line... |
21275862496 | #!/usr/bin/env python
from setuptools import find_packages, setup
exec(open("mindpose/version.py").read())
install_requires = open("requirements.txt").read().strip().split("\n")
setup(
name="mindpose",
author="MindSpore Ecosystem",
author_email="mindspore-ecosystem@example.com",
url="https://github.... | mindspore-lab/mindpose | setup.py | setup.py | py | 1,439 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 21,
"usage_type": "call"
}
] |
30157672222 | import requests
from bs4 import BeautifulSoup
import re
import csv
import time
import random
header = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0"
}
url = "https://www.futbin.com/21/players?version=gold_all&page="
player_information = []
# Loop through each page
f... | fallos1/machinelearning_fifa_data | futbinScraper.py | futbinScraper.py | py | 3,301 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_numbe... |
9020018104 | import gffutils
from pyfaidx import Fasta, Faidx
from liftoff import liftoff_utils, feature_hierarchy, new_feature
import os
import sys
import numpy as np
import ujson as json
def extract_features_to_lift(ref_chroms, liftover_type, parents_to_lift, args):
print("extracting features")
if os.path.exists(args... | agshumate/Liftoff | liftoff/extract_features.py | extract_features.py | py | 8,879 | python | en | code | 360 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "liftoff.feature_hierarchy",
... |
29777854982 |
# 3. All advertising materials mentioning features or use of this software must display the following acknowledgement:
# This product includes software developed by AsaurusRex.
# 4. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived ... | asaurusrex/String_Spy | String_Spy.py | String_Spy.py | py | 10,281 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "subprocess.check_output",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 62,
"usage_type": "call"
},
{
"api_name"... |
38048483292 | from flask import Flask
app = Flask(__name__)
DiscordClientSecret = "8dyfuiRyqFvVc3RRr_edRk-fZ__JItpP" ;
aws_access_key = "AKIASP2TPHJS3AVMLWWW",
aws_access_token = "AKIASP2TPHJS3AVMLYYY"
@app.route("/")
def index():
return "Hello, world!"
if __name__ == "__main__":
app.run()
| adysis14/CI-CD-pipeline-stages | src/app.py | app.py | py | 290 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
}
] |
25799708062 | import time
from dataclasses import dataclass
import requests
import envs
import utils
CACHE_STORE = {}
@dataclass
class UserCache:
user_id: str
user_info: dict
def __post_init__(self):
self.expiry = time.time() + 1800
def get(user_id):
user_info = get_user_from_cache(user_id)
if use... | kota113/hima-hima | caches/user_cache.py | user_cache.py | py | 2,431 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "utils.users_table.upsert",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "utils.users_... |
36337866522 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from selenium import webdriver
from bs4 import BeautifulSoup
import json
import os
import pandas as pd
import time
from fun_time import time_fun
from fun_make_table import make_sp_xc_table
from main_01_01_download_data_now import fun_download_game_trace,fun_download_game_tr... | longzj2008/xiaomi_computer | main_07_trace.py | main_07_trace.py | py | 13,943 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium.webdr... |
16540262805 | from django.contrib import admin
from .models import *
class CouriersAdmin(admin.ModelAdmin):
fields = ['courier_type', 'regions', 'working_hours', 'orders']
list_display = ['id'] + fields
search_fields = fields
list_editable = ['courier_type', 'regions', 'working_hours']
list_filter = fields
cl... | IDKushner/BDS | store/api/admin.py | admin.py | py | 627 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 12,
"usage_type": "attribute"
... |
45570869236 | # -*- coding: utf-8 -*-
import sys
import requests
from PyQt5.QtGui import QPixmap
from core.constants import MAP_API_SERVER, YM_TMP_FILENAME, \
YM_IMG_SIZE
def show_map(ym_label, z, lola, dot, map_type):
params = {
'z': z,
'll': lola.to_ym(),
'l': map_type,
'size': YM_IMG_SI... | nekstas/ya-maps-big-task | ym/static_maps.py | static_maps.py | py | 807 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "core.constants.YM_IMG_SIZE",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "core.constants.MAP_API_SERVER",
"line_number": 22,
"usage_type": "argument"
},
{
"api_nam... |
39111528253 | '''
Read in files, interpolate to points we want
'''
# import requests
# import netCDF4 as netCDF
# import pandas as pd
# import xarray as xr
import netCDF4 as netCDF
from bs4 import BeautifulSoup
from datetime import datetime, timedelta
import os
import bisect
import pyproj
from scipy.ndimage import map_coordinates
i... | kthyng/winds-co2 | calc.py | calc.py | py | 9,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"li... |
4202273721 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import tensorflow as tf
import i3d, i3d_v2, r3d
FLAGS = tf.flags.FLAGS
networks_map = {'i3d_v1': i3d.I3D,
'i3d_v2': i3d_v2.I3D_V2,
'r3d_50': r3d.resnet_v1_50,
... | yoosan/i3d-tensorflow | snets_factory.py | snets_factory.py | py | 1,626 | python | en | code | 48 | github-code | 6 | [
{
"api_name": "tensorflow.flags",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "i3d.I3D",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "i3d_v2.I3D_V2",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "r3d.resnet_v1_50... |
24013661108 | import warnings
from abc import ABC, abstractmethod
from typing import Optional, Tuple, Union
import numpy as np
import torch
from sklearn import base
import falkon
from falkon import FalkonOptions
from falkon.kernels.keops_helpers import should_use_keops
from falkon.sparse import SparseTensor
from falkon.utils impor... | FalkonML/falkon | falkon/models/model_utils.py | model_utils.py | py | 9,142 | python | en | code | 157 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "falkon.sparse.SparseTensor",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sklearn.bas... |
72105545787 | import tensorflow as tf
import tensorflow.contrib.slim as slim
import numpy as np
import gym
import matplotlib.pyplot as plt
env = gym.make('FrozenLake-v0')
tf.reset_default_graph()
# 액션을 선택하는 데 사용되는 네트워크의 피드포워드 부분.
inputs = tf.placeholder(shape=[1,16],dtype=tf.float32)
W = tf.Variable(tf.random_uniform([16,4],0,0.0... | djaakpig/tensorflow | qnetwork.py | qnetwork.py | py | 2,689 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "gym.make",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.reset_default_graph",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorfl... |
74805772988 | """LOGGER
Logger instance
"""
# # Native # #
import sys
# # Installed # #
from loguru import logger
# # Project # #
from vigobusapi.settings import settings
__all__ = ("logger",)
LoggerFormat = "<green>{time:YY-MM-DD HH:mm:ss}</green> | " \
"<level>{level}</level> | " \
"{function}: <... | David-Lor/VigoBusAPI | vigobusapi/logger.py | logger.py | py | 502 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "loguru.logger.remove",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "loguru.logger.add",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
... |
18814566345 | import sqlite3, csv
sqlite_con = sqlite3.connect(":memory:", detect_types=sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_COLNAMES) # change to 'sqlite:///your_filename.db'
# This little bugger above https://stackoverflow.com/questions/1829872/how-to-read-datetime-back-from-sqlite-as-a-datetime-instead-of-string-in-python
cur ... | uep-inz-opr/10_bazy_danych_1-ksosulska | main.py | main.py | py | 1,387 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlite3.PARSE_DECLTYPES",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.PARSE_COLNAMES",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": ... |
2809585510 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas as pd
from cassandra.cluster import Cluster
import os
import glob
import csv
from cql_queries import *
"""
extract data from raw files & create data file (csv) that will be used to feed tables in Apache Cassandra
"""
def extract_records(filepath):
"""
... | abreufreire/sparkify-cassandra | etl.py | etl.py | py | 3,771 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 2... |
36849870403 | import pickle as pkl
import os
import argparse
import numpy as np
from milvus import MetricType
import time
from milvus_mod import mil
from utils import *
parser = argparse.ArgumentParser()
parser.add_argument('--model', type=str, default='7fea_contra_torch_b128',
help='network model')
parser.add_a... | DeepSoftwareAnalytics/LibDB | main/torch/build_milvus_database.py | build_milvus_database.py | py | 15,062 | python | en | code | 31 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
72255288188 | from __future__ import annotations
import textwrap
from typing import TYPE_CHECKING, Any, Dict, List
import discord
from discord import app_commands
from discord.ext import commands
from utils import (
AuthorView,
BlankException,
id_converter,
link_converter,
response_checker,
GoogleImageData... | LeoCx1000/fish | src/cogs/tools/google.py | google.py | py | 6,606 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "_base.CogBase",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "cogs.context.Context",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "utils.respons... |
74055569467 | import time
import platform
import os
from .. import utils
import pandas as pd
from selenium import webdriver
from selenium.common.exceptions import TimeoutException, StaleElementReferenceException, SessionNotCreatedException
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by impor... | isaacharrisholt/vorn-surebet-finder | lib/sites/ladbrokes.py | ladbrokes.py | py | 8,421 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 28,
"usage_type": "call"
},
{
"api_nam... |
12617621411 | from data_obj import DataObj
import numpy as np
import matplotlib.pyplot as plt
from phd import viz
import scipy
import matplotlib.patches as patches
"""
Used for removing outliers from 2d calibration arrays
"""
colors, swatches = viz.phd_style()
name = ".//peacoq_results//Wire_1//41mV_15.2uA//2d//calibration_res... | sansseriff/highrate_09_time_walk_mcr | src/2d_corrector_axese_sum.py | 2d_corrector_axese_sum.py | py | 4,702 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "phd.viz.phd_style",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "phd.viz",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "data_obj.DataObj",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_nu... |
17654008767 | import os
import requests
from bs4 import BeautifulSoup
from urllib.parse import quote, urljoin
monuments = ["Amer Fort Jaipur", "Lotus Temple", "Basilica of Bom Jesu", "Qutub Minar", "Bara Imambara Lucknow",
"Brihadisvara Temple", "Dilwara Temples", "Sanchi Stupa",
"Elephanta Caves", ... | abhiveda/Query-Search-Image-Downloader | get_images.py | get_images.py | py | 2,372 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "urllib.parse.quote",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
11509830995 | import os
import load_confounds.parser as lc
import pandas as pd
import numpy as np
from scipy.stats import pearsonr
from sklearn.preprocessing import scale
import pytest
from nibabel import Nifti1Image
from nilearn.input_data import NiftiMasker
path_data = os.path.join(os.path.dirname(lc.__file__), "data")
file_confo... | pbellec/load_confounds | load_confounds/tests/test_parser.py | test_parser.py | py | 9,629 | python | en | code | null | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "load_confounds.parser.__fil... |
25254079221 | from clip_inspect.model import CLIP
from typing import Iterable, List, Optional
import torch
from torch import nn
from sklearn.decomposition import PCA
def get_grid(n: int = 300, dims: int = 2, sizes: Iterable = (-1.0, 1.0)):
if type(sizes[0]) in [float, int]:
sizes = [sizes for i in range(dims)]
... | ptmorris03/clip-inspect | clip_inspect/inspect.py | inspect.py | py | 3,395 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Iterable",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.meshgrid",
"line... |
9189189467 | from setuptools import setup, find_packages
version = '0.2'
setup(name='wheelcms_comments',
version=version,
description="WheelCMS comments package",
long_description=open("README.md").read(),
classifiers=[
"Programming Language :: Python",
],
keywords='',
author='I... | wheelcms/wheelcms_comments | setup.py | setup.py | py | 746 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
38036138842 | import re
from pathlib import Path
import click
from click import argument, option
__author__ = "Alex Ganose"
__maintainer__ = "Alex Ganose"
__email__ = "aganose@lbl.gov"
from sumo.cli.bandstats import kpt_str
from sumo.electronic_structure.effective_mass import (
fit_effective_mass,
get_fitting_data,
)
fro... | hackingmaterials/amset | amset/tools/plot.py | plot.py | py | 33,406 | python | en | code | 110 | github-code | 6 | [
{
"api_name": "click.Choice",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "click.Choice",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "click.Choice",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "click.group",
"line_number... |
1307069825 | import os
from typing import Callable
from ignite.engine import Engine, Events
from torch import nn
def create_best_metric_saver(
model: nn.Module,
trainer: Engine,
artifacts_dir: str,
metric_name: str,
mode: Callable[[float, float], float] = min
) -> object:
"""
Fabric of Plugins, that a... | Bartolo1024/RLCarRacing | agents/utils/net_saver.py | net_saver.py | py | 1,830 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "ignite.engine.Engine",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
... |
33388929736 | import torch
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
class WordEmbedding(nn.Module):
def __init__(self, word_emb, N_word, gpu, SQL_SYNTAX_TOKENS, our_model):
super(WordEmbedding, self).__init__()
self.N_word = N_word
self.our_model = our_model
s... | tiwarikajal/Seq2SQL--Natural-Language-sentences-to-SQL-Queries | seq2sql/model/word_embedding.py | word_embedding.py | py | 3,093 | python | en | code | 47 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_numbe... |
73952550588 | import numpy as np
from astropy.table import Table, vstack, hstack
from astropy.stats import jackknife_stats
from matplotlib import pyplot as plt
from matplotlib import rc
#import galsim
import pickle
import pdb
rc('text', usetex=True)
rc('font', family='serif')
rc('font', size=11)
plt.close('all') # tidy up any unsh... | des-science/Y3_shearcat_tests | Stellar_contamination/make_response_plots.py | make_response_plots.py | py | 7,307 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.rc",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.close",
... |
23753591844 |
from config import parsers
# transformer库是一个把各种预训练模型集成在一起的库，导入之后，你就可以选择性的使用自己想用的模型，这里使用的BERT模型。
# 所以导入了bert模型，和bert的分词器，这里是对bert的使用，而不是bert自身的源码。
from transformers import BertTokenizer
from torch.utils.data import Dataset, DataLoader
def read_data(file):
# 读取文件
all_data = open(file, "r", encoding="utf-8").re... | fuhao96/AICompetition | bertconfig/utils.py | utils.py | py | 3,317 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "config.parsers",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "transformers.BertTokenizer.from_pretrained",
"line_number": 30,
"usage_type": "call"
},
{
... |
4331899512 | from templates.src.segment_analysis.win_significance import sample_convos_for_bot_pair
from templates.src.mongo_client import SAMPLED_COLLECTION_NAME
from templates.src.segment_analysis.segmented_bootstrap_sampling import bootstrap_sampling, get_all_annotated_convos, create_set_of_matches
from itertools import combinat... | jderiu/spot-the-bot-code | templates/src/segment_analysis/ranking_significance.py | ranking_significance.py | py | 8,788 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "templates.src.segment_analysis.segmented_bootstrap_sampling.get_all_annotated_convos",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_... |
23052628953 | """
Module loads data for training
"""
import os
from os import listdir
import numpy as np
import dxchange
import torch
import torch.utils.data as data
from torch.utils.data import DataLoader
# Normalizes projection data
def norm_data(proj):
mean_tmp = np.mean(proj)
std_tmp = np.std(proj)
proj = (proj - m... | liam-gameng/AI-tomographic-alignment | testing/modcorresnet/res_data.py | res_data.py | py | 2,804 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.mean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number":... |
14376652765 | import cv2
import numpy as np
DTYPE = np.float32
rot_90 = np.array([0,1,-1,0], dtype=DTYPE).reshape((2,2))
from enum import Enum
class FollowingStatus(Enum):
INVALID = 4
ACTIVE = 0
SUCCEEDED = 1
LOST = 2
PENDING = 3
def check_coord(coord):
if coord[0]<0 and coord[1]<0:
return -coord
... | silvery107/ee346-capstone-control | src/utils.py | utils.py | py | 1,449 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.float32",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "cv2.erode",
"line_number": ... |
42328041903 | #!/usr/bin/env python
# synchroze local mongodb and trades on bitcoin-24
import datetime
import json
import logging
import urllib, urllib2
import time
import pymongo
DB = 'test'
def get_max_tradeid():
connection = pymongo.MongoClient()
db = connection[DB]
rec = list(db.btc24.find().sort('_id',-1).limit(... | jyunfan/bitcoin-observer | bin/sync_btc24.py | sync_btc24.py | py | 1,884 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
... |
22908474537 | import os
from fastapi import FastAPI, UploadFile, File, HTTPException
from fastapi.templating import Jinja2Templates
from starlette.requests import Request
from fastapi.responses import RedirectResponse, HTMLResponse
from fastapi.staticfiles import StaticFiles
import cv2
import numpy as np
import pandas as pd
from pyd... | drchaeos/Color_Detection | color_web.py | color_web.py | py | 2,715 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fastapi.templating.Jinja2Templates",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fastapi.staticfiles.StaticFiles",
"line_number": 17,
"usage_type": "call"
},
{
... |
17334202738 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
'''
This code is used to combine the positve data and negative data for practicality judgment.
Then split the combined file into train set and test set
'''
import re,os
import random
import argparse
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsH... | jshmjs45/data_for_chem | codes/combine_files.py | combine_files.py | py | 2,144 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.split",
"line_number": 39,
"usage_type": "call"
},
{
"api_... |
73432216188 | from contextlib import contextmanager
import os
import random
import argparse
import numpy as np
from tqdm import tqdm
import torch
import torch.optim as optim
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel
from torch.optim.lr_scheduler import... | Tigerrr07/HFAGNN | src/train.py | train.py | py | 12,995 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.smiles_trans.get_position",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "pcqm4mv2_3d.PCQM4Mv2Dataset_3d",
"line_number": 80,
"usage_type": "call"
},
{... |
13017589394 | import os
import sys
import logging
import shlex
logger = logging.getLogger()
logger.setLevel(logging.INFO)
try:
import boto3
client = boto3.client('ecs')
except ImportError:
logger.error('boto3 is not installed. ECSTasks require boto3')
sys.exit(1)
def trigger(event, context):
logger.info('got... | mergermarket/tf_lambda_s3_backup | lambda-src/ecs_worker.py | ecs_worker.py | py | 1,395 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_n... |
22786211466 | import time
import sheetUpdater
import json
def lambda_handler(event, context):
epoch_time = int(time.time())
worksheet = sheetUpdater.get_sheet(str(epoch_time))
worksheet.append_row(["This is a test",
epoch_time,
"ahhhhh"])
epoch_time = int(time.t... | howdym/SpotifyUpdater | lambda_function_test.py | lambda_function_test.py | py | 542 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sheetUpdater.get_sheet",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_numbe... |
27104678283 | import torch.nn as nn
class MLPAE(nn.Module):
"""
Similar implementations can be found in the ECE 685 lecture slides
An MLP undercomplete autoencoder that
can reduce data dimension by extracting nonlinear features
"""
def __init__(self, in_components, out_components):
"""
Constructor of this
... | weiwu99/ece682_project | models/AutoEncoders.py | AutoEncoders.py | py | 1,338 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
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