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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7824439491 | #LIBRERIAS A UTILIZAR
import pandas as pd
from sklearn.impute import SimpleImputer
import numpy as np
from sklearn.preprocessing import LabelEncoder
import matplotlib.pyplot as plt
import seaborn as seabornInstance
from sklearn.model_selection import train_test_split #libreria para poder separar los datos entr... | alextsosa17/Analisis-de-Datos-y-prediccion--Python | TpFinalAlexSosa.py | TpFinalAlexSosa.py | py | 6,299 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 59,
"usage_type": "call"
},
{
... |
43918724986 | import streamlit as st
import pandas as pd
import plotly.express as px
import seaborn as sns
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
st.set_option('deprecation.showPyplotGlobalUse', False)
# Loading dataset
df = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databa... | avrabyt/Holiday-coding-session | streamlit_app.py | streamlit_app.py | py | 1,556 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "ssl._create_default_https_context",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_unverified_context",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "streamlit.set_option",
"line_number": 9,
"usage_type": "call"
... |
27937806135 | #!/usr/bin/python
# coding: utf-8
import numpy as np
import cv2
import csv
import os
import shutil
import shutil
import logging
def to_image_string(image_filepath):
return open(image_filepath, "rb").read().encode("base64")
def from_base64(base64_data):
nparr = np.fromstring(base64_data.decode("base64"), np.... | Zyniel/DansePlanningManager | src/app/utils.py | utils.py | py | 1,569 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.fromstring",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.imdecode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_ANYCOLOR",
... |
12267302602 | # -*- coding: utf-8 -*-
import scrapy
from collections import OrderedDict
class BriefingEarningsSpider(scrapy.Spider):
name = 'briefing_earnings'
allowed_domains = ['www.briefing.com']
start_urls = ['https://www.briefing.com/Inv/content/Auth/Calendar/Earnings/week1.htm'] # Current week (week1)
def ... | kompotkot/WebScraper-Stocksinplay | stocksinplay/spiders/briefing_earnings.py | briefing_earnings.py | py | 1,854 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.OrderedDict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 21,
"usage_type": "call"
}
] |
38902423747 | import time
import subprocess
import digitalio
import board
from PIL import Image, ImageDraw, ImageFont
import adafruit_rgb_display.st7789 as st7789
import pynmea2
import sys
from subprocess import Popen, PIPE
import serial
import io
# Configuration for CS and DC pins (these are FeatherWing defaults on M0/M4):
cs_pin ... | vwls/toolbox | gps_data_to_screen.py | gps_data_to_screen.py | py | 4,226 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "digitalio.DigitalInOut",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "board.CE0",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "digitalio.DigitalInOut",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "board.D2... |
33415585016 | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
import scipy.optimize as optimize
# Opening image
img = cv.imread("red.png")
# Uncomment this and run the program to make sure the
# convex_hull_pointing_up algorithm works
# img = cv.rotate(img, cv.ROTATE_180)
# OpenCV stores im... | IamParvSinghal/Wisconsin_Autonomous | CV.py | CV.py | py | 4,280 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"lin... |
11296078217 | import requests
import json
data = {
"a": "GetBidYiDong",
"Token": "29db4b581d67ec1c46a231e09e919671",
"c": "StockBidYiDong",
"UserID": 19,
"day": "20171026"
}
url = "https://hq.kaipanla.com/w1/api/index.php"
respone = requests.post(url, data)
respone.encoding = "unicode_escape"
result = respone.... | mykright/auto_stock_search | 竞价.py | 竞价.py | py | 778 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
}
] |
70063403388 | from multiprocessing import context
from pwn import *
from LibcSearcher import *
context.log_level = 'debug'
# p=process('./pwn')
p=remote('t.ctf.qwq.cc',49468)
pause()
elf=ELF('./pwn')
context.arch ='amd64'
context.bits=64
shellcode=asm('push 0x68;mov rax ,0x68732f6e69622f;push rax;mov rdi,rsp;xor rsi, rsi;xor rd... | CookedMelon/mypwn | NPU/shellcode/exp.py | exp.py | py | 520 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "multiprocessing.context.log_level",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.context",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "multiprocessing.context.arch",
"line_number": 10,
"usage_type": "attribute"
... |
37197760033 | from datetime import datetime
class Greeter:
def __init__(self, name):
self.name = name
def day():
return datetime.now().strftime('%A')
def part_of_day(): # Определяет часть, дня основываясь на текущем часе
current_hour = datetime.now().hour
if current_hour < 12:
... | alecksandr-slavin/git_work | stepick_v1/new.py | new.py | py | 980 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.... |
4886937902 | import numpy as np
import torch
def ious(box, boxes, isMin = False):#定义iou函数
box_area = (box[3] - box[1]) * (box[4] - box[2])#计算自信度最大框的面积
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 4] - boxes[:, 2])#计算其他所有框的面积
xx1 = torch.max(box[1], boxes[:, 1])#计算交集左上角x的坐标其他同理
yy1 = torch.max(box[2], box... | RockingHorse-L/yolov3 | YOLOV3/tool1.py | tool1.py | py | 2,668 | python | zh | code | 2 | github-code | 6 | [
{
"api_name": "torch.max",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 11,
"u... |
26053687100 | from itertools import permutations
vowels = ["а"]
consonants = ["б", "т", "с"]
result = set()
for index, i in enumerate(permutations("аббатиса")):
correct = True
for symbol_index in range(0, len(i) - 1):
if (i[symbol_index] in vowels and i[symbol_index + 1] in vowels) or \
(i[symbol_in... | Woolfer0097/UGE_IT | 8 task/235.py | 235.py | py | 495 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 7,
"usage_type": "call"
}
] |
17430789952 | #!/usr/bin/python
# https://www.udemy.com/course/complete-python-developer-zero-to-mastery/
# 246. Hacker News Project
# https://www.synerzip.com/blog/web-scraping-introduction-applications-and-best-practices/
# https://www.crummy.com/software/BeautifulSoup/
# https://www.crummy.com/software/BeautifulSoup/bs4/doc/
#... | olexandrch/UdemyCompletePythonDeveloper | Sec.18 246 Hacker News Project.py | Sec.18 246 Hacker News Project.py | py | 1,683 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
37431499468 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: Dlink DIAGNOSTIC.PHP命令执行
referer: https://www.exploit-db.com/exploits/24956
author: Lucifer
description: Some D-Link Routers are vulnerable to OS Command injection in the web interface.
On DIR-645 versions prior 1.03 authentication isn't needed to exploit it. On ... | iceyhexman/onlinetools | scanner/plugins/hardware/router/router_dlink_command_exec.py | router_dlink_command_exec.py | py | 2,122 | python | en | code | 1,626 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 43,
"usage_type": "attribute"
}
] |
42095434916 | from selenium import webdriver # driver de selenium
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from selenium_stealth import stealth # Ayuda a evitar que las webs nos detecten que somos un bot
from shutil import which
def iniciar_webdriver(headless=True):... | Jonnathan1093/Telegram-Chatbot | ChatHeroku/iniciar_Webdriver.py | iniciar_Webdriver.py | py | 1,666 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "shutil.which",
"line_number": 21,
"usage_type": "call"... |
29250448134 | from __future__ import annotations
import os
import unittest
from collections import defaultdict, namedtuple
from math import ceil
from typing import Any, Iterator
import numpy as np
from rtree.index import Index, Property, RT_TPRTree
class Cartesian(
namedtuple(
"Cartesian",
("id", "time", "x"... | Toblerity/rtree | tests/test_tpr.py | test_tpr.py | py | 7,681 | python | en | code | 573 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "nu... |
15200494736 | #!/usr/bin/env python
from numpy import array
from math import sqrt
from pyspark import SparkContext
# from pyspark.mllib.clustering import KMeans, KMeansModel
from pyspark.mllib.clustering import KMeans
sc = SparkContext(appName="Kmeans Pyspark")
# Load and parse the data
data = sc.textFile("hdfs://localhost:9000/... | sindongboy/topinion | python/lda.py | lda.py | py | 1,071 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.SparkContext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyspark.mllib.clustering.KMeans.train",
"line_number": 20,
"usage_type": "call"
},
{
"api_name":... |
31344968208 | from tkinter import *
import tkinter, threading
from tkinter import messagebox as tmsg
from tkinter import ttk
import random
import datetime
import imageio
import time
from PIL import Image, ImageTk
import smtplib as s
import config
root1 = Tk()
root1.geometry("1208x830")
root1.wm_iconbitmap("Artboard 1.... | zuwanish/Tour-Management-System | MAIN PROJECT GUI BASED.py | MAIN PROJECT GUI BASED.py | py | 30,680 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "imageio.get_reader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_nu... |
21433461529 | import csv
import logging
import os
logger = logging.getLogger("app_logger")
# Channels with extra long videos messing up the stats and to be deleted,
# or other channels you just don't want to include.
CHANNELS_NOT_TO_IMPORT = ["4k SCREENSAVERS", "Nature Relaxation Films", "4K Relaxation Channel"]
# Some extra lo... | arilaakso/viewinginsights | import_data_into_db.py | import_data_into_db.py | py | 4,855 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_n... |
73815165306 | from random import random
from time import time
from cachier import cachier
@cachier(next_time=True)
def _test_int_pickling(int_1, int_2):
"""Add the two given ints."""
return int_1 + int_2
def _test_int_pickling_compare(int_1, int_2):
"""Add the two given ints."""
return int_1 + int_2
def test_p... | python-cachier/cachier | tests/speed_eval.py | speed_eval.py | py | 1,903 | python | en | code | 470 | github-code | 6 | [
{
"api_name": "cachier.cachier",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 34,... |
40260766080 | import gvar as gv
import corrfitter as cf
import numpy as np
import collections
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.ticker import MultipleLocator
matplotlib.use('Agg')
plt.rc("font",**{"size":18})
import datetime
import os
import pickle
import copy
#fr... | WillParrott/New_bodiddley_fitter | functions.py | functions.py | py | 47,341 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "lsqfit.nonlinear... |
30097122943 | """ Comments scraper class"""
import json
import logging
import random
from time import sleep
import numpy as np
import pandas as pd
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from scr... | ScrPzz/InstagramScraper | src/comments_scraper.py | comments_scraper.py | py | 4,554 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.choice",
... |
6605463296 | from itertools import combinations
from collections import Counter
def solution(orders, course):
answer = []
for c in course:
temp = []
for order in orders:
combi = combinations(sorted(order), c)
temp += combi
counter = Counter(temp)
if len(counter) != 0 and max(counter.values()) != 1:
... | JeongGod/Algo-study | 3people/6week/p72411.py | p72411.py | py | 457 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "itertools.combinations",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 11,
"usage_type": "call"
}
] |
33353045212 | from django.contrib.auth.models import User
from django.db import models
# Create your models here.
from django.db.models.signals import pre_delete
from django.dispatch import receiver
class CommonInfo(models.Model):
# 开始时间 auto_now_add=True,
startday = models.DateField(verbose_name="下单时间", null=True)
# ... | willmaker2022/drfvueblog | productplan/models.py | models.py | py | 6,808 | 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.DateField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": ... |
43573832015 | import argparse
from experiment.monitor import monitor
from apps.qe import qe
if __name__ == '__main__':
parser = argparse.ArgumentParser()
monitor.setup_run_args(parser)
qe.setup_run_args(parser)
args, extra_args = parser.parse_known_args()
app_conf = qe.QuantumEspressoAppConf(args.node_count, a... | geopm/geopm | integration/experiment/monitor/run_monitor_qe.py | run_monitor_qe.py | py | 440 | python | en | code | 79 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "experiment.monitor.monitor.setup_run_args",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "experiment.monitor.monitor",
"line_number": 8,
"usage_type": "name"
},
... |
38036093112 | import logging
from collections import defaultdict
from typing import Dict, Optional, Tuple, Union
import numpy as np
from matplotlib import rcParams
from matplotlib.axes import SubplotBase
from matplotlib.axis import Axis
from matplotlib.colors import LogNorm
from matplotlib.ticker import AutoMinorLocator, MaxNLocato... | hackingmaterials/amset | amset/plot/lineshape.py | lineshape.py | py | 14,486 | python | en | code | 110 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "amset.plot.BaseMeshPlotter",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "amset.constants.defaults",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": ... |
17532275577 | import backtrader as bt
import backtrader.analyzers as btanalyzers
import matplotlib
import matplotlib.dates as mdates
from matplotlib import pyplot as plt
from datetime import datetime
import pandas as pd
import datetime as dt
# Create a subclass of Strategy to define the indicators and logic
class SMA_CrossStrategy(... | erkundanec/Trading_Strategies | 04_Backtest_Backtrader_SMA_CrossOver.py | 04_Backtest_Backtrader_SMA_CrossOver.py | py | 3,013 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "backtrader.Strategy",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "backtrader.ind.SMA",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "backtrader.ind",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "backt... |
27610406237 | from flask import Flask, request, render_template, redirect, flash, session
from flask_debugtoolbar import DebugToolbarExtension
from surveys import surveys, satisfaction_survey, personality_quiz
app = Flask(__name__)
app.config['SECRET_KEY'] = "secret_code_here"
# app.config['DEBUG_TB_INTERCEPT_REDIRECTS'] = False
#... | Tetyana-I/flask-survey | app.py | app.py | py | 3,204 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "surveys.surveys.items",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "surveys.survey... |
72344006587 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import datasets
import utils
FLAGS = tf.flags.FLAGS
def get_lr(global_step, base_lr, steps_per_epoch, # pylint: disable=missing-docstring
decay_epochs, lr_decay_factor, w... | google/revisiting-self-supervised | trainer.py | trainer.py | py | 4,425 | python | en | code | 349 | github-code | 6 | [
{
"api_name": "tensorflow.flags",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.cast",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tensorf... |
26246786176 | import argparse
import logging
from typing import List
import torch
import torch.nn as nn
from .probe_base import ProbeBase
logger = logging.getLogger(__name__)
class OneWordNNProbe(ProbeBase):
"""
Computes all squared L2 norm of n words as depths after an MLP projection.
Can be used for probing the de... | VSJMilewski/multimodal-probes | probing_project/probes/one_word_nn_probe.py | one_word_nn_probe.py | py | 2,291 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "probe_base.ProbeBase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn.Linear",... |
20519700810 | """!
@brief Cluster analysis algorithm: X-Means
@details Implementation based on papers @cite article::xmeans::1, @cite article::xmeans::mndl
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
import copy
import numpy
from enum import IntEnum
from math imp... | annoviko/pyclustering | pyclustering/cluster/xmeans.py | xmeans.py | py | 28,247 | python | en | code | 1,113 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 181,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "pyclustering.utils.distance_metr... |
38149030065 | import pygame
from pygame.surface import *
from pygame.sprite import Sprite
from pygame.sprite import RenderUpdates as SpriteGroup
from pygame.sprite import spritecollide
from pygame.sprite import spritecollideany
from pygame.rect import Rect
from random import *
from config import *
from log import *
screen = None
... | mikedll/pybomber2 | desktop/widget.py | widget.py | py | 5,122 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pygame.Surface",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.display",
... |
18659256455 | import asyncpg
from app.main import create_app
from app.settings import Settings
from tests.test_currencies import test_currencies_success
settings = Settings()
async def test_rate_success(aiohttp_client, loop):
currencies = await test_currencies_success(aiohttp_client, loop)
currency = currencies['results'... | ridhid/test_aio | tests/test_rate.py | test_rate.py | py | 1,745 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.settings.Settings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tests.test_currencies.test_currencies_success",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.main.create_app",
"line_number": 13,
"usage_type": "argument"
},... |
25875832480 | #!/usr/bin/env python
# This is more of a work in progress, but this script will
# test the code for creating vespagrams with our curved wavefront correction.
import obspy
import numpy as np
import time
import matplotlib.pyplot as plt
import circ_array as c
from circ_beam import Vespagram_Lin, Vespagram_PWS, Baz_ves... | eejwa/Array_Seis_Circle | examples/Vespagram_test.py | Vespagram_test.py | py | 4,213 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "obspy.read",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "circ_array.get_eventtime",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "circ_array.get_geometry",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "circ_arra... |
30610778506 | """
Meta manager. Defines complex workflow in terms of lower level managers
For usage example see tests
"""
import re
from time import time
import logging
from collections import defaultdict, OrderedDict as odict
from copy import copy, deepcopy
import yaml
from shub_workflow.base import WorkFlowManager
from .util... | hermit-crab/shub-workflow | shub_workflow/graph/__init__.py | __init__.py | py | 17,269 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "shub_workflow.base.WorkFlowManager",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "colle... |
18028682844 | from pyfiglet import Figlet
import os
from shutil import copyfile
import shutil
import sqlite3
import subprocess
import winreg
import base64
import subprocess
import datetime
import socket
import ctypes
def init():
f = Figlet(font='slant')
print(f.renderText('Reboot'))
print("This program is Artifa... | KIMJOONSIG/Reboot3 | Windows/reboot3.py | reboot3.py | py | 36,418 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyfiglet.Figlet",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "winreg.HKEY_LOCAL_MACHINE",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "winreg.HKEY_... |
23404494402 | """Test the concurrency module."""
from typing import Any
import pytest
from rtasr.concurrency import ConcurrencyHandler, ConcurrencyToken
class TestConcurrencyToken:
"""Test the ConcurrencyToken class."""
@pytest.mark.parametrize("value", [None, "string", True, False, [], {}])
def test_concurrency_to... | Wordcab/rtasr | tests/test_concurrency.py | test_concurrency.py | py | 2,077 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "typing.Any",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rtasr.concurrency.ConcurrencyToken",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.ma... |
6173790975 | import csv
import sqlite3
import numpy as np
import pandas as pd
from nltk.stem.porter import *
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
import string
from PIL import Image
from os import path
import matplotlib.pyplot as plt
import matplotlib as mpl
import pickle
from sklearn.svm impor... | zzhang83/Yelp_Sentiment_Analysis | Scripts/UI.py | UI.py | py | 6,335 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "nltk.stem.SnowballStemmer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": ... |
8190287555 | #!/usr/bin/env python3
# Get sequences from NCBI.
# To be called from Snakefile.
# Usage: python windows.py <infile> <outfile> <email> <window_size>
import os
import sys
from Bio import Entrez
from Bio import SeqIO
import pandas as pd
def main():
snpfile = sys.argv[1]
outfile = sys.argv[2]
email = sys.... | mpjuers/SexualSelectionSubstitutions | Scripts/GetData/windows.py | windows.py | py | 1,594 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
29284148447 | # -*- coding: utf-8 -*-
import sys
import re
import pdb
import sqlite3
def to_numbers(ch):
n_dict = {"一":1,\
"二":2,\
"三":3,\
"四":4,\
"五":5,\
"六":6,\
"七":7,\
"八":8,\
"九":9,\
"十":10}
retu... | Tubao/xkx | pkuxkx/gps/store_npcs.py | store_npcs.py | py | 3,716 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8... |
17233943864 | # coding: utf-8
"""
Refinery Calc API Documentation
Integrate the powerful Refinery Calc Engine into your process using this API. # noqa: E501
OpenAPI spec version: 1.0
Contact: support@refinerycalc.com.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
impor... | refinerycalc/sdk-example-python | python/refinerycalc/models/output_types.py | output_types.py | py | 19,790 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "six.iteritems",
"line_number": 616,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 641,
"usage_type": "call"
}
] |
32552302191 | import threading
import wikipedia
from kivy.clock import mainthread
from kivymd.app import MDApp
class MainApp(MDApp):
url = ""
def build(self):
self.title = "Wikipedia-App"
@mainthread
def search(self, text):
t1 = threading.Thread(target=self.get_wiki, args=(text,), daemon=True)
... | Kulothungan16/Example-Kivy-Apps | WikiPedia/main.py | main.py | py | 1,052 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "kivymd.app.MDApp",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "kivy.clock.mainthread",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "wikipedia.set_... |
457427877 | # encoding: utf-8
"""
@author: liaoxingyu
@contact: sherlockliao01@gmail.com
"""
import logging
import math
from collections import OrderedDict
import torch
from torch import nn
import torch.nn.functional as F
from torch.autograd.variable import Variable
from fastreid.modeling.ops import MetaConv2d, MetaLinear, Meta... | peterzpy/ACL-DGReID | fastreid/modeling/backbones/meta_dynamic_router_resnet.py | meta_dynamic_router_resnet.py | py | 29,474 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.autograd.variable.Variable",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "torch.autograd.variable.Variable",
"line_number": 44,
"usage_type": "call"
},
{
... |
71578007227 | import h5py
import os
from torch.utils.data import Dataset
from DVS_dataload.my_transforms import *
from PIL import Image
import torch
import numpy as np
class DVSGestureDataset(Dataset):
def __init__(self, root, train=True, transform=None):
super(DVSGestureDataset, self).__init__()
self.n = 0
... | langfengQ/MLF-DSResNet | DVS_dataload/DVS_Gesture_dataset.py | DVS_Gesture_dataset.py | py | 1,762 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"lin... |
6020834834 | import os
import cv2
import shutil
source_path = 'test_copy_image'
des_path = 'train_image_label'
def get_all_label_file_to_image_file():
list_file = os.listdir(source_path)
list_label = [file for file in list_file if file.endswith('.txt')]
return list_label
def copy_image_according_to_label():
label... | hluong89/calc_bounding_box_YOLO | copy_image_according_to_labels.py | copy_image_according_to_labels.py | py | 1,014 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
70075665148 | #!/usr/bin/env python3
"""
Cache class. In the __init__ method, store an instance of the Redis }
client as a private variable named _redis (using redis.Redis()) and
flush the instance using flushdb.
"""
import redis
from typing import Union, Optional, Callable
from uuid import uuid4
from functools import wraps
def ... | lemejiamo/holbertonschool-backend-storage | 0x02-redis_basic/exercise.py | exercise.py | py | 3,014 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
... |
32715528590 | #!/usr/bin/env python3
__requires__ = '''
plover>=4.0.0.dev2
setuptools>=30.3.0
'''
from setuptools import setup
from plover_build_utils.setup import BuildPy, BuildUi
BuildPy.build_dependencies.append('build_ui')
BuildUi.hooks = ['plover_build_utils.pyqt:fix_icons']
cmdclass = {
'build_py': BuildPy,
'build_... | morinted/plover_layout_display | setup.py | setup.py | py | 362 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "plover_build_utils.setup.BuildPy.build_dependencies.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "plover_build_utils.setup.BuildPy.build_dependencies",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "plover_build_utils.setup.Buil... |
16438405840 | # -*- coding: utf-8 -*-
"""
# @file name : target.py
# @author : chenzhanpeng https://github.com/chenzpstar
# @date : 2022-01-09
# @brief : FCOS训练目标类
"""
import torch
import torch.nn as nn
from models.config import FCOSConfig
from models.utils import coords2centers, coords2offsets, decode_coords, resh... | ydlam/Fcos-main | models/target.py | target.py | py | 4,816 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.config.FCOSConfig",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "models.utils.d... |
41364868505 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 31 11:56:58 2019
@author: saransh
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans,AgglomerativeClustering,DBSCAN
from sklearn.datasets import load_digits
from sklearn.decomposition impor... | Saransh0905/Data-Science-3 | agglomerativeClustering and DBSCAN/lab11.py | lab11.py | py | 3,419 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sklearn.metrics.cluster.contingency_matrix",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.cluster",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sklearn.metrics",
"line_number": 20,
"usage_type": "name"
},
... |
74743616826 | from PyQt4.QtGui import QApplication, QFrame, QPalette, QLabel, QPixmap
from PyQt4.QtCore import Qt, QRect, QCoreApplication
class BareFrame(QFrame):
def __init__(self, parent=None):
super(BareFrame, self).__init__(parent)
self.setWindowFlags(Qt.FramelessWindowHint)
self.setFrameShadow(QF... | kurtraschke/camelot | camelot/view/controls/dashboard.py | dashboard.py | py | 2,127 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "PyQt4.QtGui.QFrame",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtCore.Qt.FramelessWindowHint",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtCore.Qt",
"line_number": 9,
"usage_type": "name"
},
{
"api_name... |
32506946053 | import fcntl
import logging
import socket
import struct
import urllib.request
from urllib.parse import urlparse
from xml.dom import minidom
from functools import wraps
import urllib.error
import xml
SIOCGIFINDEX = 0x8933 # Get interface index
logger = logging.getLogger(__name__)
class NotRetrievedError(Exception):
... | Blockstream/satellite | blocksatcli/upnp.py | upnp.py | py | 12,542 | python | en | code | 949 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.Request",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_... |
14629235583 | import numpy as np
import time
import os
import sys
from scipy.stats import poisson, binom
from scipy.special import erf as erf
from admin import make_glob_array
import multiprocessing
# from Sim_show import Sim_fit
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
import matplotlib.colors as mcolors
fro... | gerakolt/DireXeno | fit/show.py | show.py | py | 6,250 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_numb... |
25068821679 | import pygame
from math import *
import time
pygame.init()
pygame.display.set_caption("sprite sheet") # sets the window title
screen = pygame.display.set_mode((1000, 800)) # creates game screen
screen.fill((0,0,0))
clock = pygame.time.Clock() #set up clock
#Variables and stuff (Start)------------------------------... | richfls/chess | main9.py | main9.py | py | 11,852 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
5432983759 | import logging
import warnings
from typing import List, Tuple
import numpy as np
import pandas as pd
from anndata import AnnData
from mudata import MuData
from pandas.api.types import is_numeric_dtype
from sklearn.neighbors import KNeighborsClassifier
from ..utils import check_transition_rule, get_views_from_structur... | Teichlab/multi-view-atlas | src/multi_view_atlas/tl/map_query.py | map_query.py | py | 11,557 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.simplefilter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "MultiViewAtlas.MultiViewAtlas",
"line_number": 27,
"usage_type": "name"
},
{
"api_nam... |
18390517391 | import re
import scrapy
base_url = "https://www.senscritique.com/liste/Cine_2017_sur_un_coin_de_table/1562107"
class SC_Spider(scrapy.Spider):
name = "liste"
start_urls = [base_url]
summary_done = False
current_page = 1
def parse(self, response):
if not self.summary_done:
list... | ria4/tln | util/old/crawlers/sc/liste_crawler.py | liste_crawler.py | py | 1,503 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
}
] |
2053824632 | # USAGE
# python extract_features.py --dataset ../datasets/kaggle_dogs_vs_cats/train --output ../datasets/kaggle_dogs_vs_cats/hdf5/features.hdf5
from keras.applications import ResNet50, imagenet_utils
from keras.preprocessing.image import load_img, img_to_array
from sklearn.preprocessing import LabelEncoder
from pyimag... | lykhahaha/Mine | PractitionerBundle/chapter10-dogs_vs_cats/extract_features.py | extract_features.py | py | 2,835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "imutils.paths.list_images",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "imutils.paths",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "rando... |
34776536653 | from django.http import JsonResponse, HttpResponseRedirect
from django.shortcuts import render, redirect
from django.urls import reverse
from ..filters.CRPFilter import CRPFilter
from ..forms.CRPForm import UpdateCRPForm, CRPTrackForm, AddCRPForm
from django.forms import modelformset_factory
from datetime import datet... | nazmul53p/ERP | productionplanning/views/CRPViews.py | CRPViews.py | py | 14,011 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "models.CRP.CRPTrack.objects.all",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "models.CRP.CRPTrack.objects",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "models.CRP.CRPTrack",
"line_number": 46,
"usage_type": "name"
},
{
... |
18026129984 | import requests
from bs4 import BeautifulSoup
import csv
from os import getcwd
print('\n'*3)
print(" /~________~\ .----------. (| L0L Pull |) '----------' \_~~~~~~~~_/ ")
print('\n'*3)
print(" .: Author- Jean Paul :. ")
print('\n'*3)
current_di... | PurpleS3Cf0X/Pull_LOLBAS | Pull_L0LBAS_Binaries.py | Pull_L0LBAS_Binaries.py | py | 1,292 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_numbe... |
2266571308 | import os
import fnmatch
import datetime
from lxml import etree
from openpyxl import Workbook
from itertools import count
try:
# Python 2
from itertools import izip
except ImportError:
# Python 3
izip = zip
def save_test_result_to_excel_file():
tc_name_list = []
tc_status_list ... | jsonpanganiban/robotframework-result-extractor | result_extractor_excel.py | result_extractor_excel.py | py | 2,706 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "itertools.izip",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "lxml.etree.iterparse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now"... |
12793192330 | import json
import random
for i in range(20):
num = random.randint(0, 7)
cow = "Cow"
if num == 6 or num == 7:
cow = "Not Cow"
data = {"name": "Cowpoly #{0}".format(i),
"tokenID": i, "description": "Cowpoly is an experimental NFT collection created for educational purpose only. Credits for all artwork... | eddiekaung/cowpolyNFT | metadata/script.py | script.py | py | 580 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 17,
"usage_type": "call"
}
] |
10424727921 | #-*- coding: utf-8 -*-
"""
@author: Jordi Fernández
@contact: jordi.fernandez@whads.com
@organization: Whads/Accent SL
@since: September 2010
"""
import cherrypy
from cocktail.events import when
from cocktail import schema
from cocktail.translations import translations
from cocktail.controllers import context
from... | marticongost/woost | woost/extensions/mailer/__init__.py | __init__.py | py | 3,502 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cocktail.translations.translations.define",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cocktail.translations.translations",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "cocktail.translations.translations.define",
"line_number": 24,
... |
19624665111 | # -*- coding: utf-8 -*-
import math
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render, redirect
from django.contrib import messages
# Create your views here.
from django.urls impor... | drhtka/prifile | main/views.py | views.py | py | 21,683 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "create_profile.models.LikeModel.objects.filter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "create_profile.models.LikeModel.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "create_profile.models.LikeModel",
"line_number": ... |
2687378702 | import numpy as np
import random as rnd
import matplotlib.pyplot as plt
CORDS = []
avaibleNodes = []
border = 30
x0y0 = [0,0]
CORDS.append(x0y0)
avaibleNodes.append([x0y0[0]+1,x0y0[1]])
avaibleNodes.append([x0y0[0],x0y0[1]+1])
avaibleNodes.append([x0y0[0]-1,x0y0[1]])
avaibleNodes.append([x0y0[0],x0y0... | filipmalecki94/Computer_modeling | lista4/zadanie1.py | zadanie1.py | py | 1,915 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "matp... |
43418038023 | import cv2 as cv
import matplotlib.pyplot as plt
import numpy as np
img= cv.imread("cat/cat.png")
#cv.imshow("cat",img)
def rescale(frame, scale=0.5):
width = int(frame.shape[1]*scale)
height = int(frame.shape[0]*scale)
dims=(width,height)
return cv.resize(frame, dims, interpolation=cv.INTER_... | aishanii/Python | main.py | main.py | py | 444 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.xfeatures2d.SURF_create"... |
73772810746 | from typing import List
LAND = '1'
WATER = '0'
# TODO: Review a superior solutions
def overlaps(min1, max1, min2, max2):
overlap = max(0, min(max1, max2) - max(min1, min2))
if overlap > 0:
return True
if min1 == min2 or min1 == max2 or max1 == min2 or max1 == max2:
return True
if (min... | AndreiBoris/sample-problems | python/0200-numbers-of-islands/number-of-islands.py | number-of-islands.py | py | 5,325 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 55,
"usage_type": "name"
}
] |
41636609732 | from django.shortcuts import get_object_or_404, render, redirect, reverse
from django.http import HttpResponseRedirect
from .models import UserNotification
# Create your views here.
def notification_visited(request, pk):
notification = get_object_or_404(UserNotification, pk=pk)
question_id = notific... | bstecka/overboard | overboard/notifications/views.py | views.py | py | 584 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.UserNotification",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 12,
"usage_type": "call"
... |
10120459329 | """
Library and Wrapper for SI7021 temperature/humidity sensor.
Based on https://github.com/chrisbalmer/micropython-si7021, which implements a micropython driver.
Extensions: Added a wrapper function for getting directly the values
"""
from time import sleep
import sensors
import logging
class CRCError(Except... | insighio/insighioNode | insighioNode/lib/sensors/si7021.py | si7021.py | py | 6,216 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 97,
... |
28205735632 | poppler_path=r"C:\Users\ahmed\Downloads\New folder\Release-22.04.0-0\poppler-22.04.0\Library\bin"
pdf_path = r"D:\certifiaction\freelancing.pdf"
from pdf2image import convert_from_path
pages=convert_from_path(pdf_path=pdf_path,poppler_path=poppler_path)
import os
saving_folder=r"D:\certifiaction"
c=1
fo... | ahmedsayed545/ahmedsayed545 | convert pdf to img.py | convert pdf to img.py | py | 438 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pdf2image.convert_from_path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
}
] |
41063841441 | import logging
from threading import Thread
class BasicComponent(Thread):
"""
Basic class, more elaborated components will herit from this class.
"""
def __init__(self, ID, dest_endpoint, mode, queue):
#Assert validity of the parameters received
endpoint_above, endpoint_below = dest_en... | ylaker/tweakable-pt | components/Base.py | Base.py | py | 2,995 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "logging.er... |
22676158140 | import cv2
import matplotlib.pyplot as plt
import numpy as np
import selectivesearch
from predictors import resnet152
from utils import selectors, nms
import xml.etree.ElementTree as ET
import random
boxes = {}
def getImgReady(img, show=False):
if img is None:
return None
if show:
plt.imshow... | juvu/ImageSearch | test/testPredictorInterface.py | testPredictorInterface.py | py | 3,482 | python | en | code | null | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.axis",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mat... |
39654499374 | import os
import glob
import PIL.Image as I
def load_cityscapes_sem_seg_dict(image_dir, gt_dir):
"""
Args:
image_dir (str): path to the raw dataset. e.g., "~/cityscapes/leftImg8bit/train".
gt_dir (str): path to the raw annotations. e.g., "~/cityscapes/gtFine/train".
Returns:
... | lqxisok/llSeg | datasets/segmentation/cityscapes.py | cityscapes.py | py | 1,152 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number... |
30273124330 | from django.contrib.auth.backends import RemoteUserBackend
from django.core.exceptions import ImproperlyConfigured
from django.conf import settings
from django.contrib.auth import get_user_model
class GroupEnabledRemoteUserBackend(RemoteUserBackend):
def authenticate(self, user, remote_groups):
user.remote... | jcmcken/cloudcover-cumulus | cumulus/backends.py | backends.py | py | 1,110 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.backends.RemoteUserBackend",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.conf.settings",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 15,
"usage_type": "argument"... |
39938022567 | #%%
import nltk
import vaderSentiment
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import numpy as np
import json
import glob
import errno
import pandas
import random
import requests
from bs4 import BeautifulSoup
import news_web_scraping as NWS
#%%
# FUNCTIONS
# input: text (string)
# output... | OrionMat/Sentiment-Analysis | newsSentimentAnalysis.py | newsSentimentAnalysis.py | py | 6,297 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "vaderSentiment.vaderSentiment.SentimentIntensityAnalyzer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "nltk.sent_tokenize",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 37,
"usage_type": "call"
},
{... |
18399962026 | # from autogluon.tabular import TabularDataset, TabularPredictor
# train_data = TabularDataset('https://autogluon.s3.amazonaws.com/datasets/Inc/train.csv')
# f = open('/workfile.txt', 'r+')
# f.write(train_data)
# subsample_size = 500 # subsample subset of data for faster demo, try setting this to much larger values
#... | kehwhy/HAI-analysis-tool | back-end/test_api_logic.py | test_api_logic.py | py | 16,932 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OrdinalEncoder",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "aif360.datasets.StandardDataset",
"line_number": 182,
"usage_type": "call"
},
{
... |
38424940724 | #!/usr/bin/env python3
import cv2
import numpy as np
import dlib
import Facerecognize as fr
font=cv2.FONT_ITALIC
cap=cv2.VideoCapture(0)
detector=dlib.get_frontal_face_detector()
face_data,face_id,dic=fr.training_dataset_and_labels()
recognizer=cv2.face.LBPHFaceRecognizer_create()
recognizer.train(face_data,np.array(f... | prem-pratap/Face-Recognition-System | reco.py | reco.py | py | 982 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.FONT_ITALIC",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Fac... |
31188466771 | import discord
from discord.ext import commands
import datetime
import nekos
import asyncio
import wikipedia
import pyowm
import os
from discord import utils
from discord.ext.commands import Bot
import urllib.parse
import re
import json
import io
import requests
import random
import time
from Cyber... | Myrvek/CatCat | Cat.py | Cat.py | py | 19,363 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot.remove_command",
"line_number": 22,
"usage_type": "call"
},
{
... |
23230602110 | import ui
from PIL import Image as ImageP
import io
import random
mainWindow = ui.View()
mainWindow.name = 'Image Conversion'
mainWindow.background_color = 'white'
mainWindow.width = 700 #ui.get_screen_size().width
mainWindow.height = 700 #ui.get_screen_size().height
def pil2ui(pil_img):
with io.BytesIO() as buffer... | WhittlinRich/python | ImageConversion.py | ImageConversion.py | py | 955 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ui.View",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ui.Image.from_data",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ui.Image",
"line_number": 16... |
12465932204 | from flask import Flask, flash, redirect,\
url_for, session, g
from functools import wraps
from database import connect_db, query_db
from tigergrader.config import cfg
app = Flask(__name__)
app.config.update(cfg)
class GraderConfiguration():
def __setitem__(self, k, v):
g.db.execute('replace into ... | pablooliveira/tigergrader | tigergrader/__init__.py | __init__.py | py | 1,408 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tigergrader.config.cfg",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "flask.g.db.execute",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.g.db",... |
72859056509 | import os
import tempfile
from functools import partial
from jinja2 import Environment, FunctionLoader
from babel.dates import format_date, format_datetime
from babel.numbers import format_currency
try:
import weasyprint
except ImportError:
pass
from genshi.template import MarkupTemplate
from trytond.tools i... | openlabs/trytond-report-html | openlabs_report_webkit/__init__.py | __init__.py | py | 6,758 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "trytond.report.Report",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "trytond.pool.Pool",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "trytond.report.TranslateFactory",
"line_number": 37,
"usage_type": "call"
},
{
"api_name"... |
27391305853 | import uuid
from fastapi import status
from fastapi.testclient import TestClient
from httpx import Response
from internal.types import ScopedSession
from models.chat import Room
def test_POST_create_new_room_api_success_should_return_200(client: TestClient) -> None:
response: Response = client.post("/rooms", js... | ebysofyan/dcentric-health-hometest | chatroom-backend/tests/test_chat_room_api.py | test_chat_room_api.py | py | 1,506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "httpx.Response",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "fastapi.status.HTTP_200_OK",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_... |
26798311383 | import random
import cv2
import cvzone
import time
from cvzone.HandTrackingModule import HandDetector
cap = cv2.VideoCapture(0)
cap.set(3, 1080)
cap.set(4, 720)
detector=HandDetector(maxHands=1)
timer=0
stateResult=False
startGame=False
scores =[0,0]
while True:
bg_main = cv2.imread('F:/... | 123dhanya/final-project | you.py | you.py | py | 2,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cvzone.HandTrackingModule.HandDetector",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2... |
37061565332 | import os
import sys
import torch
import torchvision.models
from torch import optim
from torch import nn
from tqdm import tqdm
from collections import Counter
from easydict import EasyDict as edict
from tools import CustomDataSet, Averagemeter, Speedometer, print_one_line, model_size_mb, ROCEstimator
from torch.utils.t... | pi-null-mezon/antideepfakes | singleshot/train.py | train.py | py | 9,075 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
71261723068 | # -*- coding: utf-8 -*-
__all__ = ('random_policy', 'stdin_policy', 'imitation_policy', 'inference_policy')
from utils.distribution import sample_by_mask
from utils.match_data import MatchData
from utils.tile_traits import str2tile, tile2str
from torch import nn
import numpy as np
class random_policy:
... | illusive-chase/ChineseStandardMahjong | utils/policy.py | policy.py | py | 5,871 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "utils.distribution.sample_by_mask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "nump... |
10343753605 | # -*- coding: utf-8 -*-
"""
Chapter 02 script 02
"""
import numpy as np
import tensorflow as tf
from tensorflow import keras
print(tf.__version__)
#should see 2.0.0 or higher1.0
print(keras.__version__)
#should see 2.2.4 – tf
# the four different states of the XOR gate
training_data = np.array([[0,0],[0... | sgupta117/ML-Material-Krish_Naik- | Natural-Lanuage-Processing-with-TensorFlow2-master/Chapter_02/chapter_02_03.py | chapter_02_03.py | py | 1,339 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "tensorflow.__version__",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.__version__",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 11,
"usage_type": "name"
},
{
"api... |
4947454827 | import uuid
import datetime
import json
from oscal_pydantic import (
catalog,
assessment_plan,
assessment_results,
complete,
component,
poam,
profile,
ssp,
)
cg_uuid=uuid.uuid5(uuid.NAMESPACE_DNS, 'cloud.gov')
ssp_au_01 = ssp.SpecificControlStatement(
statement_id="au_01_smt",
... | pburkholder/oscal-pydantic | ssp.py | ssp.py | py | 427 | python | en | code | null | github-code | 6 | [
{
"api_name": "uuid.uuid5",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "uuid.NAMESPACE_DNS",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "oscal_pydantic.ssp.SpecificControlStatement",
"line_number": 18,
"usage_type": "call"
},
{
"ap... |
74523936828 | #!/usr/bin/python3
"""
script that takes your GitHub credentials
"""
import requests
from sys import argv
def getgithub():
url = "https://api.github.com/user"
response = requests.get(url, auth=(argv[1], argv[2]))
response = response.json()
print(response.get("id"))
if __name__ == "__main__":
... | BrunoGuerraS/holbertonschool-higher_level_programming | 0x11-python-network_1/10-my_github.py | 10-my_github.py | py | 332 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "name"
}
] |
40546855652 | # chat/consumers.py
import base64
import random
from asgiref.sync import async_to_sync
from channels.generic.websocket import AsyncWebsocketConsumer
from channels.db import database_sync_to_async
import json
import time
from face_machine_client.models import PassInfo, ClientInfo, SyncInfo
from face_irobot_main.models ... | hamster1963/face-all-in-one-machine-backend | face_machine_client/consumers.py | consumers.py | py | 14,986 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "channels.generic.websocket.AsyncWebsocketConsumer",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 46,
"usage_type": "call"
},
{
"api_n... |
27595046406 | from PyQt5.QtGui import QFont
from PyQt5.QtWidgets import (
QHBoxLayout,
QListWidgetItem,
QCheckBox,
QGridLayout,
QWidget,
QComboBox,
QListWidget,
)
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
import matplotlib
import matplotlib.pyplot as plt
from code_SR... | GB127/SRC-statistics | plots/save_plot.py | save_plot.py | py | 2,948 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QListWidget",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "code_SRC.composantes.Time",
"line_number": 41,
"usage_type": "call"
},
{
"api... |
22432578680 | import pandas as pd
from openpyxl.styles import PatternFill
def rgb_to_hex(rgb):
return '%02x%02x%02x' % rgb
def darken(hex_code, shade):
shade = shade/10
#add something to convert shade number ie 9 actually equals 10% darker
RGB = tuple(int(hex_code[i:i + 2], 16) for i in (0, 2, 4))
... | mbgoodin/ColorShadeGenerator | main.py | main.py | py | 6,351 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "pandas.Data... |
31983482821 | """empty message
Revision ID: cadce5b06ea7
Revises: 5c4a7cc7d0e2
Create Date: 2020-03-25 11:23:09.141719
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = 'cadce5b06ea7'
down_revision = '5c4a7cc7d0e2'
branch_labels = None
depe... | huawenjin1995/Microblog | migrations/versions/cadce5b06ea7_.py | cadce5b06ea7_.py | py | 3,298 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.drop_index",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_index",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
18135169137 | from flask import Flask
app = Flask(__name__)
@app.route('/')
def index():
page = '<h1>Powers of two </h1>\n'
for i in range(32):
line = '2^{} = {}<br/>\n'.format(i, 2**i)
page += line
return page
if __name__ == '__main__':
app.run(debug=True)
| janirac/Interapt-Labs | Python/Flask/pyflask/ANSWERS/flask_powers_of_two.py | flask_powers_of_two.py | py | 297 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
}
] |
19246991804 | from .model import ImageEncoder, ImageDecoder128
import torch
class AE(torch.nn.Module):
def __init__(self):
super().__init__()
self.encoder = ImageEncoder([1, 128, 256, 512, 1024, 2048, 4096], kernel_size=3, stride=2)
self.decoder = ImageDecoder128()
self.tanh = torch.nn.Tanh()
#... | pmistry9597/Climate-Hack-2022 | attention_conv/ae.py | ae.py | py | 763 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "model.ImageEncoder",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "model.ImageDecoder128",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn.Tanh",
... |
31411828229 | import requests
import unittest
import json
from Global_base import global_base,globa_phone
from parameterized import parameterized
from Global_base import login
class GetMainLinkBySublink(unittest.TestCase):
"""我的建议接口"""
def setUp(self):
self.url = global_base.DefTool.url(self, '/usercenter/user/sugg... | chenyongzhiaaron/pytest-test-interface | interface/app/suggest_test.py | suggest_test.py | py | 1,803 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "Global_base.global_base.DefTool.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Global_base.global_base.DefTool",
"line_number": 12,
"usage_type": "attribute"
... |
26038862506 | from __future__ import annotations
from dataclasses import dataclass
from pants.backend.codegen.soap.soap_subsystem import SoapSubsystem
from pants.backend.codegen.soap.target_types import WsdlSourcesGeneratorTarget
from pants.core.goals.tailor import (
AllOwnedSources,
PutativeTarget,
PutativeTargets,
... | pantsbuild/pants | src/python/pants/backend/codegen/soap/tailor.py | tailor.py | py | 1,624 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.core.goals.tailor.PutativeTargetsRequest",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pants.core.goals.tailor.AllOwnedSources",
"line_number": 29,
"usage_... |
9023100800 | import math
import time
from selenium import webdriver
def calc(x):
return str(math.log(abs(12 * math.sin(int(x)))))
link = 'http://suninjuly.github.io/redirect_accept.html'
try:
browser = webdriver.Chrome()
browser.get(link)
time.sleep(4)
# browser.execute_script("document.getElementsByTag... | Bulgakoff/auto-tests-course | less_2/windows/less2_step3_wins_1.py | less2_step3_wins_1.py | py | 920 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.log",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"l... |
17141988862 | import time
import math
import torch
from torch import nn, Tensor
from torch.optim import Adam
from torch.optim.lr_scheduler import CosineAnnealingWarmRestarts
from transformers import logging
from utils.utils import AverageMeter
from .adaptformer import AdaptFormer
from torch.nn.parallel import DistributedDataParallel... | mondalanindya/MSQNet | multi-label-action-main/models/adaptformerm.py | adaptformerm.py | py | 7,084 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "adaptformer.AdaptFormer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.LayerN... |
75154654266 | import os
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.md')).read()
CHANGES = open(os.path.join(here, 'CHANGES.txt')).read()
requires = [
'django'
]
setup(name='djinn',
version="1.0.0-snapshot",
description... | PythonUnited/djinn | setup.py | setup.py | py | 1,172 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
73786272509 | import pandas as pd
import numpy as np
from sklearn.metrics import mean_squared_error
from math import sqrt
from utils import mape
def baseline(df):
# predict next year by just taking the values from last year
predicted = df.loc['2016-01-01':'2016-12-31']
actual = df.loc['2017-01-01':'2017-12-31']
# a... | coomish/stl-transferability | Baseline.py | Baseline.py | py | 995 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.nan",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_numb... |
39868260221 | """
Настройка админки
"""
import logging
from typing import Dict
import toml
from django.conf import settings
from django.contrib import admin
from django.contrib.admin.apps import AdminConfig
from django.http import HttpRequest
from django.template.response import TemplateResponse
from django.urls impor... | artemgv/spacemusic | app/main/admin_config.py | admin_config.py | py | 2,473 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.AdminSite",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.SLOGAN",
"line_number": 18,
"usage_type": "attribute"
},
... |
16621629920 | """
refresh_tokens.py
"""
from __future__ import print_function
import getpass
import json
import requests
import sys
import time
from os import path
from .exceptions import AgaveTokenError
from ..utils import handle_bad_response_status_code
def refresh_token(api_key, api_secret, refresh_token, tenant_url):
... | tapis-project/tapispy | tapispy/tokens/refresh_tokens.py | refresh_tokens.py | py | 1,724 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "exceptions.AgaveTokenError",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "uti... |
71718720189 | import sys
import json
asmFilename = sys.argv[1]
with open(asmFilename, 'r') as file:
lines = file.readlines()
pyFile = open("pythonDict.py", 'r')
addrDict = json.loads(pyFile.readline())
if addrDict:
print("\nChanging labels...")
for index, line in enumerate(lines):
words = line.spl... | mousssse/SystemeInformatique | branching.py | branching.py | py | 746 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
}
] |
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