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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
22439203560 | import ttkbootstrap as ttk
from ttkbootstrap.constants import *
from ttkbootstrap.dialogs import Dialog
from gui.realtime_graph import RealTimeGraph
import matplotlib.animation as animation
from gui.animation import Animation, network_traffic_in_filler, network_traffic_out_filler
from models.agents import Agent
from ... | MatheusWoeffel/TeutoMonitor | src/gui/window.py | window.py | py | 6,033 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "gui.animation.Animation",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "gui.animation.network_traffic_in_filler",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "gui.animation.Animation",
"line_number": 32,
"usage_type": "call"
}... |
36351466606 | from flask import Blueprint, render_template, request
import logging
import functions
loader_blueprint = Blueprint('loader_blueprint', __name__, template_folder="templates")
logging.basicConfig(filename="basic.log")
@loader_blueprint.route("/post")
def post_page():
return render_template("post_form.html")
@load... | PetrGurev/Lesson_121_homework | loader/views.py | views.py | py | 1,229 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request... |
7256329607 | import random
import sys
from tkinter.messagebox import QUESTION
import inquirer
words = open("words.txt", "r")
words_two = words.read()
word_bank = words_two.split()
hell = []
str = ' '
WRONG = []
past_guesses = []
difficulty = [
inquirer.List('mode',
message = "Choose Your Difficulty",
choices = ['Hell',... | Momentum-Team-13/python-mystery-word-samrespass | mystery_word.py | mystery_word.py | py | 3,941 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "inquirer.List",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "inquirer.List",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "inquirer.prompt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line... |
70807032423 | import sys
from collections import deque
sys.stdin = open('input.txt')
def bfs(start):
global answer
q = deque(start)
while q:
node = q.popleft()
answer += visited[node[0]][node[1]]
for k in range(4):
y = node[0] + dr[k]
x = node[1] + dc[k]
i... | unho-lee/TIL | CodeTest/Python/SWEA/10966.py | 10966.py | py | 1,161 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
41571056432 | import lightgbm as lgb
from sklearn.linear_model import LogisticRegression
import pandas as pd
import numpy as np
#读取数据
file_dir='E:\\GDBT_LR\\loan\\'
train_data='gbdt_train.csv'
test_data='gdbt_test.csv'
train=pd.read_csv(file_dir+train_data)
test=pd.read_csv(file_dir+test_data)
#删除无用参数
del train['Unnamed: 0']
del te... | hu-minghao/my_program | 贷款违约预测/LGB_LR.py | LGB_LR.py | py | 3,631 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lightgbm.Dataset",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "lightgbm.Dataset",
... |
26620703554 | import matplotlib.pyplot as plt
from matplotlib import style
import matplotlib.dates as mdates
import mpl_finance as mpl
from tkinter import *
from yahoo_fin.stock_info import get_data
import pandas as pd
import plotly.graph_objects as go
class AutoPlot:
def __init__(self):
master = Tk()
Label(mas... | MihaiGroza/Automated-Candlestick-Chart-Plot | CandleStick_Chart_Building.py | CandleStick_Chart_Building.py | py | 1,397 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yahoo_fin.stock_info.get_data",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 40,
"usage_type": "call"
},
{
"api_... |
28919190196 | from PIL import Image
import glob
import random
import os
from collections import defaultdict
#################################
test_percentage = 0.20
def partitionRankings(rawRatings, testPercent):
# https://stackoverflow.com/questions/23299099/trying-to-split-list-by-percentage
howManyNumbers = int(round(t... | melissadale/YouTubeTutorials | TF-Records/DivideData.py | DivideData.py | py | 2,165 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "random.shuffle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"... |
70447240745 | import os
import shutil
import subprocess
import random
import string
from cdifflib import CSequenceMatcher
from pathlib import Path
from typing import Any
from urllib.request import urlopen
import numpy as np
from rich import print as print
from shapely.geometry import MultiPolygon
from sqlalchemy import text
from sr... | goat-community/data_preparation | src/utils/utils.py | utils.py | py | 23,625 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "rich.print",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 2... |
21120525047 | # coding: utf-8
import torch
import sys
from torch import nn
from TTS.utils.text.symbols import symbols
from TTS.layers.tacotron import Prenet, Encoder, Decoder, PostCBHG
class Tacotron(nn.Module):
def __init__(self,
embedding_dim=256,
linear_dim=1025,
mel_dim=80... | JRC1995/Chatbot | TTS/models/tacotron.py | tacotron.py | py | 1,644 | python | en | code | 79 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
74579426342 | #generali
from django.views.generic import ListView
from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponse
from django.template import loader
from django.db.models import Count
from django.contrib import messages
from django.contrib.auth import get_user_model
from dj... | gitsh1t/vetrina_test | landing_page/views.py | views.py | py | 12,116 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "models.Post.objects.all",
"line_number": 35,
"usage_type": "call"
},
... |
5657068183 | import json
import os
import requests
from utils import is_snapshot_week, get_dependency_version, get_latest_tag, get_snapshot_branch, \
get_dependency_version_from_tags
github_token = os.getenv("GITHUB_TOKEN")
headers = {"Authorization": "Bearer " + github_token}
def build_message():
message = '@navigatio... | mapbox/mapbox-navigation-ios | scripts/snapshot/pre-snapshot-check.py | pre-snapshot-check.py | py | 2,170 | python | en | code | 821 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.is_snapshot_week",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line... |
24842877273 | # -*- coding: utf-8 -*-
from os import path
import os
from wordcloud import WordCloud, STOPWORDS
import requests
import matplotlib.pyplot as plt
# from scipy.misc import imread
import numpy as np
from PIL import Image
import jieba
import jieba.posseg as pseg
import jieba.analyse
def makeCiyun(file_name):
d = path... | Montage-LSM/ciyun | index_jieba.py | index_jieba.py | py | 2,267 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,... |
27006538329 | """Pytest fixtures for huesensors tests."""
from copy import deepcopy
from unittest.mock import MagicMock, patch
import pytest
from aiohue import Bridge
from aiohue.sensors import GenericSensor
from homeassistant.components.hue import DOMAIN as HUE_DOMAIN
from homeassistant.components.hue import HueBridge
from homeass... | robmarkcole/Hue-sensors-HASS | tests/conftest.py | conftest.py | py | 3,842 | python | en | code | 346 | github-code | 36 | [
{
"api_name": "custom_components.huesensor.data_manager.HueSensorData",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "custom_components.huesensor.data_manager.HueSensorBaseDevice",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "custom_components.huesensor.d... |
74791355622 | import constant
from loguru import logger
from managers import AudioManager
from threading import Event, Thread
class Autonomous(object):
def __init__(self, audio_manager: AudioManager):
self.audio_manager = audio_manager
self.event: Event = Event()
self.event.set()
self.thread: ... | dezil/R2 | autonomous.py | autonomous.py | py | 1,035 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "managers.AudioManager",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "threading.Event",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "loguru.logger.... |
24454040368 | import time
from tqdm.auto import tqdm
def show_info_me():
""" Показывает инфо о коллеге """
about_me = {
'ФИО': 'Левченко Алексей',
'Должность': 'Ведущий исследователь данных',
'Блок': 'Технологии',
'Делаю': 'рекомендательные системы в HR',
}
for k, v in about_me.ite... | kcundel/python_da_course | Lesson1/about.py | about.py | py | 5,203 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "tqdm.auto.tqdm",
"line_number": 172,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 173,
"usage_type": "call"
}
] |
37039563232 | from django.contrib.gis.db import models
from django.contrib.auth.models import AbstractUser
from django.utils.encoding import smart_str
from django.utils.translation import gettext_lazy as _
# Create your models here.
class Country(models.Model):
"""Class for country info"""
name = models.CharField(max_leng... | EUROMAMMALS/website | core/models.py | models.py | py | 4,541 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.gis.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.gis.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.gis.db.models.CharField",
"line_number": 11,
"usage_typ... |
8522405005 | import unittest
from BaseTestCases.BaseTestCase import BaseTestCase, os
from Pages.Deployment_Group import DG_Create
from Pages.LoginPage import LoginPage
from DataSource.read_excel import read_excel
from time import sleep
from ddt import ddt,data,unpack
@ddt
class test_DG_Create (BaseTestCase):
@data(*read_exce... | EFarag/ACE_Project | TestCases/test_DG_Valid_create.py | test_DG_Valid_create.py | py | 1,130 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "BaseTestCases.BaseTestCase.BaseTestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "Pages.LoginPage.LoginPage.login",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Pages.LoginPage.LoginPage",
"line_number": 18,
"usage_type": "nam... |
34627321771 | from pathlib import Path
import os
import datetime
import json
import h5py
import numpy as np
import pandas as pd
import click
import tensorflow as tf
from src.data.tf_data_hdf5 import get_tf_data, RandomStandardization
from src.models.models import unet_model, unetclassif_model
from src.models.losses import CustomLo... | voreille/plc_segmentation | src/models/train_model.py | train_model.py | py | 9,009 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_nu... |
24844526241 | from django.contrib import admin
from .models import PrivateChat, Message
# Register your models here.
@admin.register(PrivateChat)
class PrivateChatAdmin(admin.ModelAdmin):
"""Filters, displays and search for django admin"""
list_filter = ('user1', 'user2', )
list_display = ('user1', 'user2')
search_f... | lexach91/DateLoc | chat/admin.py | admin.py | py | 605 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 5,
"usage_type": "call"
},
{
... |
20087427863 | from argparse import ArgumentParser
from copy import deepcopy
from pathlib import Path
def build_parser():
parser = ArgumentParser()
parser.add_argument(
'-i', '--input-filename', type=Path,
required=True
)
return parser
def string_to_integer_list(string):
return list(map(int, s... | reynoldscem/aoc2022 | day_08/part2.py | part2.py | py | 2,023 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 73,
"usage_type": "call"
}
] |
33646432106 | import asyncio
import threading
import time
import speech_recognition as sr
r = sr.Recognizer()
# def do(audio):
def srcVoice(n, audio):
for i in range(n, 0, -1):
print('sssssss')
# threading.Thread(target=r.recognize_google, args=(audio))
words = r.recognize_google(audio)
print(... | giribabu22/assistant-Nikki-python | thread_voice_src/script.py | script.py | py | 770 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 31,
"usage_type": "call"
}
] |
27653577571 | from pages.courses.register_courses_page import Register_courses_page
import unittest
import pytest
from utilities.teststatus import StatusVerify
@pytest.mark.usefixtures("oneTimeSetUp", "setUp")
class Register_course_tests(unittest.TestCase):
@pytest.fixture(autouse=True)
def classSetup(self, oneTimeSetUp):
... | akanksha2306/selenium_python_practice | tests/courses/test_register_courses.py | test_register_courses.py | py | 1,073 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pages.courses.register_courses_page.Register_courses_page",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utilities.teststatus.StatusVerify",
"line_number": 12,
"u... |
1243604019 | from math import cos, pi, sin
import pygame as pg
from constants import consts as c
from id_mapping import id_map
from images import img as i
from ui.game_ui import ui
def move_player(keys_pressed):
if keys_pressed[pg.K_UP] or keys_pressed[pg.K_w]:
c.player_y -= c.player_speed * c.dt
if c.player_... | chanrt/py-factory | utils.py | utils.py | py | 5,214 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "pygame.K_UP",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_w",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "constants.consts.player_y",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "const... |
5066258041 | import math
import numpy as np
from queue import Queue, PriorityQueue
import time
import networkx as nx
import pymysql
def read_file(edges, degree, g_dict, connected_fields):
w = []
edge = {}
visit = {}
cnt = 1
sum = 0
n = 0
m = 0
for item in edges:
a = ite... | ryy980622/Hi-PART | src/graph_augmentation.py | graph_augmentation.py | py | 22,560 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": ... |
70774463784 | from artist_data import ArtistData
import numpy as np
import igraph
class Network:
def __init__(self, data):
self._data = data
self._graph = igraph.Graph()
def graph(self):
return self._graph
def init(self):
self._graph.add_vertices(list(self._data.artists.keys()))
... | jakubsob/SpotifyArtistsNetwork | network.py | network.py | py | 2,904 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "igraph.Graph",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.quantile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "igraph.plot",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "artist_data.ArtistData",
"... |
12087063894 | import os
import json
import argparse
from multiprocessing import Pool
import string
import shutil
# external libraries
from numpy import argmax
from rouge import Rouge
from tqdm import tqdm
def ROUGE(hypsumm, refsumm):
rouge = Rouge()
rouge.metrics = ['rouge-2']
rouge.stats = ['r']
... | Law-AI/summarization | extractive/abs_to_ext/extractive_labels.py | extractive_labels.py | py | 9,688 | python | en | code | 139 | github-code | 36 | [
{
"api_name": "rouge.Rouge",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rouge.metrics",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "rouge.stats",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "rouge.get_scores",
... |
71591819304 | from django.shortcuts import render
from django.http.response import JsonResponse
from rest_framework.parsers import JSONParser
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.permissions import IsAuthenticated
from rest_framework.authentication import TokenAuthenti... | Gabospa/Rest_Framework_API | catalog/views.py | views.py | py | 2,419 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Album.objects.all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Album.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "models.Album",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "seria... |
37339853215 | from collections import deque
infinity = float("inf")
def make_graph():
# identical graph as the YouTube video: https://youtu.be/Tl90tNtKvxs
return [
[0, 10, 0, 10, 0, 0],
[0, 0, 4, 2, 8, 0],
[0, 0, 0, 0, 0, 10],
[0, 0, 0, 0, 9, 0],
[0, 0, 6, 0, 0, 1... | msambol/dsa | maximum_flow/ford_fulkerson.py | ford_fulkerson.py | py | 1,683 | python | en | code | 211 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "call"
}
] |
10204405519 | from flask import Flask,request,jsonify
from flask_mysqldb import MySQL
app = Flask(__name__)
app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = ''
app.config['MYSQL_DB'] = 'library'
mysql = MySQL(app)
def getQuery(sql):
cursor = mysql.connection.cursor()
... | EdgarPozas/APILibraryInFlask | app.py | app.py | py | 1,832 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "flask.request.f... |
7880901877 | import json
from enum import Enum
from typing import Union
from pyspark.sql import Column
import pyspark.sql.functions as F
class ModelType(Enum):
CLASSIFICATION = 1
REGRESSION = 2
class _Singleton(type):
""" A metaclass that creates a Singleton base class when called. """
_instances = {}
def ... | maxpumperla/elephas | elephas/utils/model_utils.py | model_utils.py | py | 2,344 | python | en | code | 1,568 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.JSONEncoder",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "json.JSONEncoder.default",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "json.JSONEnco... |
11712750390 | import pyautogui
import pyperclip
import time
import schedule
# 카카오톡에 메시지를 보내는 코드를 send_message 함수로 생성
def send_message():
threading.Timer(10, send_message).start()
# KakaoPicture1.png 파일과 동일한 그림을 찾아 좌표 출력
picPosition = pyautogui.locateOnScreen(r'11. PC_Kakao_Talk_Automation_Using_Automouse\KakaoPictu... | WoojinJeonkr/Python-and-40-works-to-learn-while-making | 11. PC_Kakao_Talk_Automation_Using_Automouse/ScheduleRunAutomationKakaoTalk.py | ScheduleRunAutomationKakaoTalk.py | py | 1,883 | python | ko | code | 1 | github-code | 36 | [
{
"api_name": "pyautogui.locateOnScreen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyautogui.locateOnScreen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyautogui.locateOnScreen",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
70858172905 | from functools import reduce, wraps
import tensorflow as tf
from tensorflow.keras.layers import Add, BatchNormalization, LeakyReLU, Conv2D, ZeroPadding2D, UpSampling2D
from tensorflow.keras.layers import Concatenate
from keras.layers.merge import add
from tensorflow.keras.regularizers import l2
L2_FACTOR = 1e-5
def ... | jmajumde/MyMScProj | jmod/onestage/yolov3/models/layers.py | layers.py | py | 6,268 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "functools.reduce",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.BatchNormalization",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.LeakyReLU",
"line_number": 30,
"usage_type": "call"
... |
497207117 | import abc
import six
from dagster_spark.configs_spark import spark_config
from dagster_spark.utils import flatten_dict
from pyspark.sql import SparkSession
from dagster import Field, check, resource
def spark_session_from_config(spark_conf=None):
spark_conf = check.opt_dict_param(spark_conf, 'spark_conf')
... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-pyspark/dagster_pyspark/resources.py | resources.py | py | 1,647 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "dagster.check.opt_dict_param",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dagster.check",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 13,
"usage_type": "attribute"
},
{
"... |
21877547543 | from TeamCloud_Modul.Blockchain import Transaction
import requests
import json
import os
from TeamCloud_Modul.Node import Node
from TeamCloud_Modul.json_parser import Message, JSON_Parser, get_checksum
from cryptography.hazmat.primitives import serialization
from requests.api import request
from create_Keys import c... | Marcus11Dev/Blockchain_Lesson_Agent | agent.py | agent.py | py | 13,436 | python | en | code | 0 | github-code | 36 | [
{
"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": "TeamCloud_Modul.json_par... |
35319837996 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: mcxiaoke
# @Date: 2015-08-18 20:14:05
from __future__ import unicode_literals, division, absolute_import, print_function
import requests
import shutil
import sys
import signal
import os
import traceback
import time
import logging
import bs4
from lxml import html
... | mcxiaoke/python-labs | lib/commons.py | commons.py | py | 5,317 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "fake_useragent.UserAgent",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "const.DEFAULT_REQUEST_TIMEOUT",
"line_number": 32,
"usage_type": "name"
},
{
"api_name... |
2671254266 | from typing import TypeAlias, Union
from const import MAX_SLOT_NUM, DiffusionSVCInferenceType, EnumInferenceTypes, EmbedderType, VoiceChangerType
from dataclasses import dataclass, asdict, field
import os
import json
@dataclass
class ModelSlot:
slotIndex: int = -1
voiceChangerType: VoiceChangerType | None =... | w-okada/voice-changer | server/data/ModelSlot.py | ModelSlot.py | py | 6,366 | python | en | code | 12,673 | github-code | 36 | [
{
"api_name": "const.VoiceChangerType",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "const.... |
72000657063 | # -*- coding: utf-8 -*-
# French language sounds configuration
from tts import filename, NO_ALTERNATE, PROMPT_SYSTEM_BASE, PROMPT_CUSTOM_BASE
systemSounds = []
sounds = []
for i in range(100):
systemSounds.append((str(i), filename(PROMPT_SYSTEM_BASE + i)))
for i in range(10):
systemSounds.append((str(100 *... | Ingwie/NextStepRc-2.18 | radio/util/tts_fr.py | tts_fr.py | py | 4,215 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "tts.filename",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tts.PROMPT_SYSTEM_BASE",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tts.filename",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tts.PROMPT_SYSTEM_BA... |
10829429705 | #!/usr/bin/env python
import os, sys, pkg_resources
import json
from collections import namedtuple
from functools import partial
import html5lib
from ..vendor.pluginbase.pluginbase import PluginBase
Key = namedtuple("Key", ["name","version"])
__all__ = ['plugins_get_mgr', 'plugins_load',
'plugins_show', '... | pingali/dgit | dgitcore/plugins/common.py | common.py | py | 7,921 | python | en | code | 15 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",... |
34228583172 | # -*- coding: utf-8 -*-
""" Application Factory
This is the entry point to the entire application.
"""
import os
import json
from flask import Flask, render_template, jsonify, flash, redirect, url_for
def create_app(test_config=None):
"""Create an instance of Wallowa Wildlife Checklists"""
app = Flask(__nam... | wicker/Wallowa-Wildlife-Checklist-App | wallowawildlife/__init__.py | __init__.py | py | 4,136 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number":... |
37360525865 | import argparse
import glob
import json
import logging
import os
import platform
import re
import traceback
from pathlib import Path
import fitz
if platform.system() == "Windows":
logdir = Path(os.environ['USERPROFILE']) / ".pdf_guru"
else:
logdir = Path(os.environ['HOME']) / ".pdf_guru"
logdir.mkdir(parents=... | kevin2li/PDF-Guru | thirdparty/convert_external.py | convert_external.py | py | 5,838 | python | en | code | 941 | github-code | 36 | [
{
"api_name": "platform.system",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line... |
28299895707 | from train import get_model
from torchvision import transforms
from PIL import Image
import matplotlib.pyplot as plt
import torch
import os
from torchvision.models import resnet18, ResNet18_Weights
import torch.nn as nn
import numpy as np
class Make_Test(nn.Module):
def __init__(self, weight_path):
super(... | kienptitit/Dog_Cat_Classification | image_test.py | image_test.py | py | 1,821 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvis... |
1763129188 | """
Implements a mixin for remote communication.
"""
import re
import json
import socket
whitespace_re = re.compile(r"\s+")
class RemoteActor:
ENCODING = "utf-8"
DECODER = json.JSONDecoder()
def __init__(self, socket):
""" Creates a new remote actor able to send and receive from the given s... | lukasberger/evolution-game | evolution/common/remote_actor_2.py | remote_actor_2.py | py | 2,413 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.JSONDecoder",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "socket.timeout",
"line_numb... |
26255667961 | """
Here I will read access tokens from txt file for safety
"""
import json
class Token:
def __init__(self):
with open('tokens.json', 'r') as f:
data = json.loads(f.readline())
self.community = data['comm_token']
self.user = data['usr_token']
self.comm_id = -167621445
... | maxikfu/community | auth.py | auth.py | py | 393 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
}
] |
25418445648 | #!/usr/bin/env python
from utils.analysis import AbsMovingAvg, Threshold, Derivative
from utils.chaser import Chaser
import os
import sys
parentDir = os.path.dirname(os.getcwd())
sys.path.append(parentDir)
def checkImport(lib):
if not os.path.exists(os.path.join(parentDir, lib)):
print("%s library not fou... | andrewbooker/audiotomidi | scanWavFile.py | scanWavFile.py | py | 1,495 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_numbe... |
72170355625 | import pandas as pd
import pickle
from pathlib import Path
def preprocess_test_df(test_clin_df, test_prot_df, test_pep_df, save_data=False):
if 'upd23b_clinical_state_on_medication' in test_clin_df.columns:
# drop the medication column
test_clin_df = test_clin_df.drop(columns=['upd23b_clini... | dagartga/Boosted-Models-for-Parkinsons-Prediction | src/data/pred_pipeline.py | pred_pipeline.py | py | 2,509 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"l... |
40306775358 | import numpy as np
import pandas as pd
from collections import OrderedDict
import matplotlib as mlt
import matplotlib.pyplot as plt
from scipy import optimize
def get_data():
data = OrderedDict(
amount_spent = [50, 10, 20, 5, 65, 70, 80, 81, 1],
send_discount = [0, 1, 1, 1, 0, 0, 0, ... | guruprasaad123/ml_for_life | from_scratch/logistic_regression/Newtons method/optimize.py | optimize.py | py | 2,692 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "collections.OrderedDict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name"... |
86340516810 | from openpyxl import load_workbook
# from openpyxl.cell import Cell
if __name__ == '__main__':
wb = load_workbook('data/FINODAYS_Доп. материал для Почта Банк_Диалоги.xlsx')
for sn in wb.sheetnames:
print(sn)
marks = []
for row in wb[sn]:
if row[1].value == 'CLIENT':
... | eivankin/finodays-2nd-stage | get_user_messages.py | get_user_messages.py | py | 546 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 5,
"usage_type": "call"
}
] |
432875678 | import numpy as np
from torch.utils import data
import torch as t
import matplotlib.pyplot as plt
import h5py
from .utils.utils import mat2gray_nocrop, plot_img_with_labels
import os
import random
import ipdb
from .visualize_predictions import draw_label_img
from scipy.ndimage import gaussian_filter
import monai
def ... | SalamanderXing/dna_foci_detection | dna_foci_detection/data_loaders/foci/dataset.py | dataset.py | py | 4,646 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.rand",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.fliplr",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.fliplr",
"line_number... |
20871041067 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import logic
UI_BOARD_SIZE = (8, 6)
UI_BOARD_OFFSET = 0.25
UI_BOARD_CELL_COLORS = [(0,0,0,0.4), (0,0.9,1,0.7)]
'''
UI front-end implementation
'''
class Board:
def __init__(self):
# Create figure and axes
sel... | manu-ho/game_of_life | board.py | board.py | py | 5,007 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.axes",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "m... |
31063851875 |
from ..utils import Object
class MessageReplyInfo(Object):
"""
Contains information about replies to a message
Attributes:
ID (:obj:`str`): ``MessageReplyInfo``
Args:
reply_count (:obj:`int`):
Number of times the message was directly or indirectly replied
recent... | iTeam-co/pytglib | pytglib/api/types/message_reply_info.py | message_reply_info.py | py | 2,077 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "utils.Object",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.Object.read",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "utils.Object",
"line_number": 44,
"usage_type": "name"
}
] |
5538635649 | # drawing the Earth on equirectangular projection
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import numpy
import matplotlib.ticker as mticker
fig = plt.figure(figsize=(64,32), frameon=False)
ax = fig.add_subplot(1,1,1, projection=ccrs.PlateCarree(central_longitude=18... | shuyo/xr | earth.py | earth.py | py | 1,349 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cartopy.crs.PlateCarree",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cart... |
4313052823 | import torch
from gms_loss import *
from PIL import Image
from torchvision import transforms
from gms_loss import MSGMS_Loss
image_path_1= './lj_test_image/1118_visdon_HR_downsampling_2loss_visstyle/0_SR_x_1105_4.png'
image_path_2 = './lj_test_image/1116_tcl_bright/6_SR_x_1105_4.png'
img_ycbcr_1 = Image.open(image_pa... | JOY2020-Mh/SR_2.0 | gsmd_LOSS/image_calculate_gmsd.py | image_calculate_gmsd.py | py | 795 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
13168287871 | import numpy as np
import matplotlib
from matplotlib import pyplot as plt
plt.switch_backend('agg')
import matplotlib.patches
from scipy import stats
import pandas as pd
import math
from mpi4py import MPI
import sys
import itertools
import glob
import os
plt.ioff()
design = str(sys.argv[1])
all_IDs = ['3600687', '70... | antonia-had/rival_framings_demand | output_analysis/shortage_duration_curves.py | shortage_duration_curves.py | py | 5,340 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ioff",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
31352733665 | # Import all the modules to determine the cofusion matrix
import itertools
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix
import os
# This function calculates the confusion matrix and visualizes it
def plot_confusion_matrix(y_test, y_pred, file_path,
... | martinferianc/PatternRecognition-EIE4 | Coursework 2/post_process.py | post_process.py | py | 1,935 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.cm",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 38,
"usage_type": "call"
},
{
"api_... |
30600682231 | from django.dispatch import receiver
from django.db.models.signals import post_save
from expensense.models import Expense, ApprovalConditions
from django.utils import timezone
@receiver(post_save, sender=Expense)
def auto_approve_expense(sender, instance, **kwargs):
""" Method to auto approve expense requests """... | praharsh05/ExpenSense | expensense_main/expensense/signals.py | signals.py | py | 2,303 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "expensense.models.ApprovalConditions.objects.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "expensense.models.ApprovalConditions.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "expensense.models.ApprovalConditions",
"li... |
20219614528 | # match close atoms in two moleculas by maximum weighted bipartite matching
import numpy as np
import logging
# weights - numpy 2-dimensional array
def wbm(weights):
import pulp
pulp.LpSolverDefault.msg = False
prob = pulp.LpProblem("WBM_Problem", pulp.LpMinimize)
m,n = weights.shape
# ... | gudasergey/pyFitIt | pyfitit/wbm.py | wbm.py | py | 2,829 | python | en | code | 28 | github-code | 36 | [
{
"api_name": "pulp.LpSolverDefault",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pulp.LpProblem",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pulp.LpMinimize",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.ar... |
70323989225 | #Menggambar graf dengan 8 nodes
import matplotlib
import networkx as nx
import itertools
G = nx.Graph()
#Menambah node
L = ['a','b','c','d','e','f','g','h']
G.add_nodes_from(L)
'''
Kak ini kenapa nodesnya selalu kerandom ya? :(
'''
#Menambah edge
pairs = itertools.combinations(L,2)
edges = list()
... | dionesiusap/matplotlib-networkx-example | graph.py | graph.py | py | 515 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "networkx.Graph",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "networkx.draw_circular",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotli... |
18896618824 | from django.conf.urls.defaults import *
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Example:
# (r'^johnjot/', include('johnjot.foo.urls')),
(r'^api/', include('core.api.urls')),
(r'^admin/', include(admin.site.u... | maraca/JohnJot | core/urls.py | urls.py | py | 329 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
23048227631 | #!/usr/bin/env python
# coding: utf-8
# # 積み上げ棒グラフを作成する
# In[1]:
get_ipython().run_line_magic('matplotlib', 'inline')
from matplotlib import pyplot as plt
import numpy as np
#数値は適当
bar1 = [100, 50, 200] #積み上げ棒グラフの一段目
bar2 = [100, 200, 50] #積み上げ棒グラフの二段目
bar3 = [100, 250, 100] #積み上げ棒グラフの三段目
bar3_st = np.add(bar1, b... | workskt/book | _build/jupyter_execute/python_plot_cumulativebar.py | python_plot_cumulativebar.py | py | 5,462 | python | ja | code | 0 | github-code | 36 | [
{
"api_name": "numpy.add",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
12212813324 | #!/usr/bin/env python
''' This is the parallel recursive solution to the Tower of Hanoi and is copied
from the code written in the parallel/rebuilding-the-tower-of-hanoi/ page
of www.drdobbs.com.
The solution has been modified from drdobbs' solution to work with my limited
knowledge of mpi4py. If you use the sleep() f... | icluster/demos | hanoi/src/hanoi_soln_par.py | hanoi_soln_par.py | py | 4,912 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "mpi4py.MPI.Get_processor_name",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "m... |
20707090879 | import os, time
from Crypto.Random import get_random_bytes, random
from lib.logger import *
log = Logger()
'''
This class handles the BLE Beacon Transmission (TX).
Because after some time of BLE advertising, a restart of the BLE stack (hciconfig hci0 down / up) might be required,
and because the pybleno class can't be... | mh-/exposure-notification-ble-python | lib/en_tx_service.py | en_tx_service.py | py | 2,883 | python | en | code | 28 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "Crypto.Random.get_random_bytes",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "Crypto.Random.random.randint",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": ... |
70744489704 | import fileinput
import glob
import os
import random
import time
import re
from urllib.error import HTTPError
from arghandler import ArgumentHandler, subcmd
from google import search
from subprocess import call
from procurer import ultimate_guitar, lastfm, postulate_url
from rules import rules, clean
from songbook... | arpheno/songbook | main.py | main.py | py | 4,443 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "google.search",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "procurer.ultimate_guitar",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "writer.FileWriter",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "urllib.error... |
70913641705 | import cv2
import numpy as np
import os
import path
import face_recognition
import getopt, sys
def getOriginalData(file):
count_vertices = 0
count_faces = 0
original_coordinates = []
faces_indices = []
texture_coordinates = []
texture_indices = []
oc_file = open("Original_Vertices.txt", "w"... | liyanxiangable/3DFaceAlignment | FaceAlignment.py | FaceAlignment.py | py | 20,504 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_nu... |
35872181243 | __author__ = 'Dennis Qiu'
from PIL import Image
def de_steg(encrypted_file):
f, e = encrypted_file.split('.')
steg = Image.open(encrypted_file)
out = Image.new('RGB', (steg.width,steg.height))
for x in range(steg.width):
for y in range(steg.height):
r, g, b = steg.getpixel(... | denqiu/Python-ImageProcessing | image_steg.py | image_steg.py | py | 1,570 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,... |
2820524990 | from django.contrib import admin
from .models import CalendarEvent, CalendarEventAttendee, UserCalendar
class CalendarEventAttendeeInline(admin.TabularInline):
model = CalendarEventAttendee
extra = 0
autocomplete_fields = (
'user',
)
class UserCalendarInline(admin.TabularInline):
model... | rimvydaszilinskas/organize-it | apps/calendars/admin.py | admin.py | py | 584 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.CalendarEventAttendee",
"line_number": 7,
"usage_type": "name"
},
{... |
3903968215 | #!/usr/bin/env python
from __future__ import with_statement
import logging
import logging.handlers
LOG_FILE_HDL = '/tmp/logging_example.out'
mylogger = logging.getLogger("MyLogger")
mylogger.setLevel(logging.DEBUG)
ch_handler = logging.StreamHandler()
ch_handler.setLevel(logging.DEBUG+1)
mylogger.addHandler(ch_han... | bondgeek/pythonhacks | recipes/logger_example.py | logger_example.py | py | 756 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEB... |
33759274918 | import json
import codecs
import sys
if len(sys.argv) != 3:
print('Usage: ' + sys.argv[0] + " <input json path> <output csv path>")
exit()
infilename = sys.argv[1]
outfilename = sys.argv[2]
sep = "|"
out = open(outfilename, 'w')
def processSource(sourceStr):
source = sourceStr.lower()
listOfAppleDe... | ador/trial | scripts/twitterJsonToCsv.py | twitterJsonToCsv.py | py | 4,212 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number":... |
72738108584 | #!/bin/python3
import os
import sys
import pathlib
from amp_database import download_DRAMP
def check_samplelist(samplelist, tools, path):
if(samplelist==[]):
print('<--sample-list> was not given, sample names will be inferred from directory names')
for dirpath, subdirs, files in os.walk(path):
... | Darcy220606/AMPcombi | ampcombi/check_input.py | check_input.py | py | 5,496 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "os.walk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"u... |
31064957465 |
from ..utils import Object
class ThemeParameters(Object):
"""
Contains parameters of the application theme
Attributes:
ID (:obj:`str`): ``ThemeParameters``
Args:
background_color (:obj:`int`):
A color of the background in the RGB24 format
secondary_background_... | iTeam-co/pytglib | pytglib/api/types/theme_parameters.py | theme_parameters.py | py | 2,062 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "utils.Object",
"line_number": 6,
"usage_type": "name"
}
] |
41165253893 | # -*- coding: utf-8 -*-
'''
This file is part of Habitam.
Habitam is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of
the License, or (at your option) any later version.
Habitam is distr... | habitam/habitam-core | habitam/ui/forms/fund.py | fund.py | py | 3,821 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.utils.translation.ugettext",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 38,
"usage_type": ... |
12366447292 | import glob
import os
import shutil
import tempfile
import unittest
from ample import constants
from ample.testing import test_funcs
from ample.util import ample_util, spicker
@unittest.skip("unreliable test cases")
@unittest.skipUnless(test_funcs.found_exe("spicker" + ample_util.EXE_EXT), "spicker exec missing")
cl... | rigdenlab/ample | ample/util/tests/test_spicker.py | test_spicker.py | py | 2,160 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",... |
39400543792 | import numpy as np;
import cv2;
#load image from file
#cv2.imwrite('imageName.png', img);
rgb_red_pos = 2;
rgb_blue_pos = 0;
rgb_green_pos = 1;
img_1 = cv2.imread('red1.png',1);
##img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY);
##extract the red component image 1
red_only1 = np.int16( np.matrix(img_1[:,:,rgb_red_pos]))... | botchway44/computer-Vision | image diffrencing.py | image diffrencing.py | py | 2,160 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.int16",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": ... |
35397910028 | from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import glob
import os
from textwrap import dedent
import xml.dom.minidom as DOM
import coverage
from pants.backend.python.targets.python_library import PythonLibrary... | fakeNetflix/square-repo-pants | tests/python/pants_test/backend/python/test_test_builder.py | test_test_builder.py | py | 8,998 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pants_test.base_test.BaseTest",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pants.backend.python.test_builder.PythonTestBuilder",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pants.util.contextutil.pushd",
"line_number": 22,
"usag... |
417814461 | import os
from collections import defaultdict
def file_statistics(parent_dir):
files_dict = defaultdict(list)
for root, dirs, files in os.walk(parent_dir):
for file in files:
stat = os.stat(os.path.join(root, file))
if stat.st_size <= 100:
files_dict[100].append... | Shorokhov-A/practical_tasks | Shorokhov_Andreiy_dz_7/task_7_4.py | task_7_4.py | py | 747 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.stat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
25084775362 | # This Golf class will be responsible for scraping the latest
# Trump golf outing located on trumpgolfcount.com
from bs4 import BeautifulSoup
import requests
import json
import twitter
import lxml
import pyrebase
def main():
get_latest_outing()
def push_db(data):
# db.child("time").push(data)
db.child("t... | navonf/isTrumpGolfing | Golf.py | Golf.py | py | 2,033 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
}
] |
71252887144 | from datetime import datetime
import glob
import os
import time
import anim
import threading
print(datetime.timestamp(datetime.now()))
class User:
def __init__(self, name: str):
self.name = name
class Chat:
def __init__(self, username: str, text: str, score: int = 0):
self.author = User(usern... | ij5/ace-ainize | app.py | app.py | py | 1,475 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.timestamp",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flas... |
15775777498 | from enum import Enum
from dataclasses import dataclass
class TokenType(Enum):
NUMBER = 0
PLUS = 1
MINUS = 2
ASTERISK = 3
SLASH = 4
LPAR = 5
RPAR = 6
@dataclass
class Token:
type: TokenType
value: str
def __repr__(self) -> str:
return f"({self.type.name}, '{self.valu... | ricdip/py-math-interpreter | src/model/token.py | token.py | py | 326 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 15,
"usage_type": "name"
}
] |
36955207429 | import random, string
import wiredtiger, wttest
from helper import copy_wiredtiger_home
from wtdataset import SimpleDataSet
from wtscenario import filter_scenarios, make_scenarios
# test_cursor12.py
# Test cursor modify call
class test_cursor12(wttest.WiredTigerTestCase):
keyfmt = [
('recno', dict(keyfm... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_cursor12.py | test_cursor12.py | py | 15,173 | python | en | code | 24,670 | github-code | 36 | [
{
"api_name": "wttest.WiredTigerTestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wtscenario.filter_scenarios",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "wtscenario.make_scenarios",
"line_number": 24,
"usage_type": "call"
},
{
... |
4738433123 | from operator import attrgetter
from django.contrib.auth import get_user_model
from django.db.models import (
CASCADE, SET_NULL, BooleanField, CharField, CheckConstraint, DateTimeField,
F, ForeignKey, IntegerChoices, IntegerField, JSONField, ManyToManyField,
Model, Q, SlugField, TextField, UniqueConstraint... | x-yzt/mixtures | drugcombinator/models.py | models.py | py | 12,000 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 25,
"usage_type": "call"
}... |
8368222279 | from itertools import groupby
def checkgroup(word):
group = [key for key, item in groupby(word)]
values =[(k, [i for i in range(len(word)) if word[i] == k]) for k in group]
groupword = 0
for items in values:
if items[1].__len__() == 0:
groupword += 1
continue
... | hyelimchoi1223/Algorithm-Study | 백준/[백준]1316 그룹 단어 체커/python.py | python.py | py | 789 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "itertools.groupby",
"line_number": 3,
"usage_type": "call"
}
] |
8342129346 | from django.http import request
from django.http.response import HttpResponse
from django.shortcuts import redirect, render
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from core.models import Medico, Hora, Cita, Paciente
from core.forms import Pa... | felipe-quirozlara/arquit-proyect | arquitGalenos/pages/views.py | views.py | py | 7,814 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.http.request",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "django.http.request.method",
"line_number": 20,
"usage_type": "attribute"
},
{
"a... |
34981855639 | from flask import Flask, request, render_template
from googlesearch import search
app = Flask(__name__)
def search_pdfs(query, num_results=5):
search_results = []
try:
for j in search(query + " filetype:pdf", num_results=num_results):
search_results.append(j)
return search_results... | suryagowda/booksearcherr | booksearcher/app.py | app.py | py | 764 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "googlesearch.search",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
39260413778 | # import system modules
import traceback
import os
import sys
import errno
import subprocess
import time
import signal
import functools
# import I/O modules
import RPi.GPIO as GPIO
import smbus2
import spidev
# import utility modules
import math
import numpy as np
import scipy.constants as const
from dataclasses import... | ExplodingONC/Flash_LiDAR_Microscan | LidarControl.py | LidarControl.py | py | 10,164 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.strerror",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "errno.ETIME",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "signal.signal",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "signal.SIGALRM",
"line... |
5259209115 | # import libraries
import datetime
from airflow import DAG
from airflow.contrib.operators.emr_create_job_flow_operator import EmrCreateJobFlowOperator
from airflow.contrib.operators.emr_add_steps_operator import EmrAddStepsOperator
from airflow.contrib.sensors.emr_step_sensor import EmrStepSensor
from airflow.contrib.o... | stefanjaro/data-engineering-nanodegree-capstone-project | airflow/dags/prepare-data-for-redshift.py | prepare-data-for-redshift.py | py | 8,900 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "airflow.DAG",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "datetime.tim... |
74087426982 | import requests, datetime, csv
from flask import Flask
from flask import request, render_template
response = requests.get("http://api.nbp.pl/api/exchangerates/tables/C?format=json")
data_as_json= response.json()
app = Flask(__name__)
for item in data_as_json:
only_rates = item.get('rates')
current_date = ite... | gorkamarlena/currency_calculator | app.py | app.py | py | 1,803 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"lin... |
73335571623 | import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
from tpk.hypervalidation.hyperparameter_search import (
run_model_cmd_parallel,
run_study,
)
from tpk.torch import TSMixerModel
@pytest.mark.asyncio
async def test_num_workers() -> None:
results = await run_mo... | airtai/temporal-data-kit | tests/hypervalidation/test_hyperparameter_search.py | test_hyperparameter_search.py | py | 1,039 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "tpk.hypervalidation.hyperparameter_search.run_model_cmd_parallel",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 23,
"usage_type": "c... |
32417088655 | import json
from typing import Dict
from influxdb_client import InfluxDBClient, Point, WritePrecision
from influxdb_client.client.write_api import SYNCHRONOUS
import pandas as pd
import logging
class InfluxDB:
def __init__(self, local) -> None:
# Create a config.json file and store your INFLUX token as a k... | pattty847/Crypto-Market-Watch | app/api/influx.py | influx.py | py | 3,453 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "influxdb_client.client.write_api.SYNCHRONOUS",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "influxdb_client.InfluxDBClient",
"line_number": 19,
"usage_type": "call"
},
{
... |
18394317715 | import sys
import numpy as np
import tiledb
# Name of the array to create.
array_name = "reading_dense_layouts"
def create_array():
# The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4].
dom = tiledb.Domain(
tiledb.Dim(name="rows", domain=(1, 4), tile=2, dtype=np.int32),
... | TileDB-Inc/TileDB-Py | examples/reading_dense_layouts.py | reading_dense_layouts.py | py | 2,729 | python | en | code | 165 | github-code | 36 | [
{
"api_name": "tiledb.Domain",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tiledb.Dim",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tiledb.Dim",
"line_numb... |
32072082706 | from flask import Flask, request, jsonify
from sklearn.ensemble import GradientBoostingRegressor
import pickle
import matplotlib
import joblib
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from load_data import (
get_binance_dataframe,
get_bingx_dataframe,
get_bitget_dataframe,
get_... | PhatcharaNarinrat/adamas-arbitrage | prediction.py | prediction.py | py | 2,279 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "joblib.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "load_data.get_binance_dataframe",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "load_data.get_bitget_dataframe",
"line_number": 28,
"usage_type": "call"
},
{
"api_na... |
36613114839 | import os
import enum
# Folder projet interphone
LOG_DIR = "src_backend/Repport/"
# Information des trace d'erreur
ERROR_TRACE_FILE_PATH = os.path.join(LOG_DIR, 'Error.trace')
# Information des logs pour des log général
LOG_FILENAME = "APP_Window.log"
#Structure du code
LOG_FORMAT = "%(asctime)s [%(lev... | ClemGRob/InterPhoneVisiaScan | src_backend/constants_log.py | constants_log.py | py | 745 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "attribute"
}
] |
73424753064 | # -*- coding: utf-8 -*-
from __future__ import print_function
import os
import re
import json
from importlib import import_module
from inspect import stack
from traceback import print_exc
from urllib.parse import unquote
from utils import *
from config import *
@retry(Exception, cdata='method={}'.format(stack()[0... | belodetek/unzoner-api | src/vpns.py | vpns.py | py | 16,340 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "inspect.stack",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
... |
11612639350 | # -*- coding:utf-8 -*-
# ==========================================
# author: ZiChen
# mail: 1538185121@qq.com
# time: 2021/05/03
# 歌词下载脚本
# ==========================================
# 请求及数据处理库
import re
from urllib import request
import json
import traceback
import os
# 本... | Zichen3317/demo18-lyricsDownloader | fc_lyricsDownloader.py | fc_lyricsDownloader.py | py | 17,698 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.search",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_num... |
23210851418 | from config import Config
import requests, json
from app.models import news_article, news_source
MOVIE_API_KEY = Config.API_KEY
News_Article = news_article.Article
News_Source = news_source.Source
def configure_request(app):
global api_key
api_key = app.config['API_KEY']
def get_news():
request = reque... | Joshua-Barawa/news-app | app/requests.py | requests.py | py | 1,570 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "config.Config.API_KEY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "app.models.news_article.Article",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_na... |
70891405863 | from flask import Flask, render_template, request
from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, AutoTokenizer
import torch
from PIL import Image
import io
import base64
app = Flask(__name__)
model = VisionEncoderDecoderModel.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
feature_ex... | AtchayaPraba/Listed-Inc-image-captioning | app.py | app.py | py | 2,759 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "transformers.VisionEncoderDecoderModel.from_pretrained",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "transformers.VisionEncoderDecoderModel",
"line_number": 10,
"usage_type... |
15589484398 | import requests
from lxml import etree
import os
'''if __name__=='__main__':
try:
url='https://pic.netbian.com/4kmeinv/'
headers={'user-agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36'}
response=requests.get(url=url,h... | BrotherIsHere/pythonProject | 7.xpath解析案例－下载图片数据.py | 7.xpath解析案例－下载图片数据.py | py | 1,746 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_nu... |
28231150156 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import netCDF4
from utils import *
def write_jules_overbank_props_1d(overbank_fn, overbank_maps, grid_dim_name):
nco = netCDF4.Dataset(overbank_fn, 'w', format='NETCDF4')
mask = LAND_FRAC > 0.
nland = mask.sum()
for key, value in overbank_maps.items()... | simonmoulds/jamr | src/python/write_jules_overbank_props.py | write_jules_overbank_props.py | py | 2,611 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 32,
"usage_type": "call"
}
] |
33540666683 | """HTTP Archive dataflow pipeline for generating HAR data on BigQuery."""
from __future__ import absolute_import
import json
import logging
from copy import deepcopy
from hashlib import sha256
import apache_beam as beam
from modules import utils, constants, transformation
# BigQuery can handle rows up to 100 MB.
M... | HTTPArchive/data-pipeline | modules/non_summary_pipeline.py | non_summary_pipeline.py | py | 17,297 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "logging.warning",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "logging.warning",
... |
7813600766 | """add region column for sample
Create Date: 2021-04-05 17:09:26.078925
"""
import enumtables # noqa: F401
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "20210405_170924"
down_revision = "20210401_211915"
branch_labels = None
depends_on = None
def upgrade():
... | chanzuckerberg/czgenepi | src/backend/database_migrations/versions/20210405_170924_add_region_column_for_sample.py | 20210405_170924_add_region_column_for_sample.py | py | 1,818 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "alembic.op.create_table",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Strin... |
26424981939 | #coding: utf-8
#
# example 11.4
#
import numpy as np
from geothermal_md import *
from matplotlib.pyplot import *
from scipy.optimize import curve_fit
#
# donnees du probleme
#
gam = 0.5772157
M = np.loadtxt("..\\data\\pumping_test2.txt")
t = M[:,0] # time in minutes
sf = M[:,1] # drawndown in meters
nt = len(... | LouisLamarche/Fundamentals-of-Geothermal-Heat-Pump-Systems | chapter11/Example11_4.py | Example11_4.py | py | 1,363 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.vectorize",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.curve_fit",
"line_number": 41,
"usage_type": "call"
}
] |
15019927918 | # This is a sample Python script.
import pandas as pd
import csv
from datetime import datetime
import json
import paho.mqtt.client as mqtt
from itertools import count
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
# Press Mayús+F10 to execute it or replace it with your code.
# Press Dou... | JordiLazo/embedded_and_ubiquitous_systems_103056 | ReceiverMQTT/main.py | main.py | py | 1,463 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.DictWriter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.datet... |
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