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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74537456828 | import numpy as np, cv2
def draw_histo(hist, shape=(200, 256)):
hist_img = np.full(shape, 255, np.uint8) # 흰색이 배경이 되도록 초기화
cv2.normalize(hist, hist, 0, shape[0], cv2.NORM_MINMAX) # 최솟값이 0, 최대값이 그래프의 높이 값을 갖도록 빈도값을 조정
gap = hist_img.shape[1]/hist.shape[0]
for i, h in enumerate(hist):
x =... | binlee52/OpenCV-python | Common/histogram.py | histogram.py | py | 539 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.full",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.normalize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.NORM_MINMAX",
"line_nu... |
42641515679 | # -*- coding: utf-8 -*-
# @Time : 2020/12/13 11:04
# @Author : Joker
# @Site :
# @File : draw.py
# @Software: PyCharm
import numpy as np
import matplotlib.pyplot as plt
m = 20 # 行
n = 2 # 列
c = 5 # 分类数量
test_point = [2, 6] # 测试点数据
if __name__ == '__main__':
# 文件地址
path = "C:/Users/99259/source... | Chimaeras/Data_Mining_ex | src/category_draw.py | category_draw.py | py | 3,852 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.py... |
70416778427 | from config import config
import random
import requests
import chardet
from db.db_select import sqlhelper
import threading
lock = threading.Lock()
class Downloader(object):
@staticmethod
def download(url):
try:
r = requests.get(url=url, headers=config.get_header(), timeout=config.TIMEOUT)... | queenswang/IpProxyPool | spider/HtmlDownloader.py | HtmlDownloader.py | py | 1,469 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "threading.Lock",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.config.get_header",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.config",
... |
21025178712 | #!/usr/bin/env python3
import logging
import sys
from ev3dev2.motor import OUTPUT_A, OUTPUT_B, OUTPUT_C, MediumMotor
from ev3dev2.control.rc_tank import RemoteControlledTank
log = logging.getLogger(__name__)
class TRACK3R(RemoteControlledTank):
"""
Base class for all TRACK3R variations. The only difference ... | ev3dev/ev3dev-lang-python-demo | robots/TRACK3R/TRACK3R.py | TRACK3R.py | py | 2,002 | python | en | code | 59 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ev3dev2.control.rc_tank.RemoteControlledTank",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ev3dev2.control.rc_tank.RemoteControlledTank.__init__",
"line_number": 20,
... |
6460673982 | import logging
from pprint import pprint # noqa
from olefile import isOleFile, OleFileIO
from ingestors.support.timestamp import TimestampSupport
from ingestors.support.encoding import EncodingSupport
log = logging.getLogger(__name__)
class OLESupport(TimestampSupport, EncodingSupport):
"""Provides helpers for... | alephdata/ingest-file | ingestors/support/ole.py | ole.py | py | 2,390 | python | en | code | 45 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ingestors.support.timestamp.TimestampSupport",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ingestors.support.encoding.EncodingSupport",
"line_number": 11,
"usage_type... |
19993528742 | """
This script crawls data about Malaysian stock indices and stores the output in a csv file.
"""
import requests
from bs4 import BeautifulSoup
import time
#Website to get the indices
base_url = 'https://www.investing.com/indices/malaysia-indices?'
print('Scraping: ' + base_url)
headers = {'User-Agent':... | ammar1y/Data-Mining-Assignment | Web crawlers/Malaysian stock indices crawler.py | Malaysian stock indices crawler.py | py | 3,548 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"lin... |
20972621530 |
import sys
import random
import math
from tools.model import io
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from detection import box, anchors, display, evaluate, loss
import argparse
from detection.models import models
from tools.image import cv
def ran... | oliver-batchelor/detection | models/test.py | test.py | py | 2,957 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"li... |
37379394096 | try:
import Image
import ImageDraw
except:
from PIL import Image
from PIL import ImageDraw
import glob
import numpy as np
import os
import sys
def image_clip(img_path, size):
# 转换为数组进行分割操作，计算能完整分割的行数、列数
imarray = np.array(Image.open(img_path))
imshape = imarray.shape
image_col = int(i... | faye0078/RS-ImgShp2Dataset | train_example/model/Fast_NAS/data/slip_img.py | slip_img.py | py | 1,752 | python | zh | code | 1 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PIL.Image.fromarray",
"line_... |
14896890650 | """empty message
Revision ID: 97dd2d43d5f4
Revises: d5e28ae20d48
Create Date: 2018-05-30 00:51:39.536518
"""
# revision identifiers, used by Alembic.
revision = '97dd2d43d5f4'
down_revision = 'd5e28ae20d48'
from alembic import op
import sqlalchemy as sa
def upgrade():
# ### commands auto generated by Alembic ... | duvholt/memorizer | migrations/versions/97dd2d43d5f4_.py | 97dd2d43d5f4_.py | py | 828 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "alembic.op.add_column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Boolean... |
70211001788 | from django.conf.urls import patterns, include, url
from django.conf import settings
from cer_manager.views import *
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'cer_manager.views.ho... | colive/cer_manager | urls.py | urls.py | py | 1,030 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "dj... |
10173968880 | from configparser import ConfigParser
# get the configparser object
config_object = ConfigParser()
# set config
config_object["SERVERCONFIG_BROWSER"] = {
"host": "127.0.0.1",
"port": "8888",
"web_directory": "www/"
}
config_object["SERVERCONFIG"] = {
"host": "127.0.0.1",
"port": "8080",
}
# Writ... | kaumnen/diy-http-server | config/config.py | config.py | py | 428 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 4,
"usage_type": "call"
}
] |
17287700821 | import yaml
import argparse
from jinja2 import Environment, FileSystemLoader, Template
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('--jobs',
required=True)
parser.add_argument('--job_config',
required=True)
return parser.parse_... | Chappers1992/Variability | run.py | run.py | py | 759 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystem... |
71733863868 | from logging import Logger
from extract.adapters.airtable.credentials import AirtableCredentials
from pyairtable import Table
class AirTableAdapter:
def __init__(self, logger: Logger, credentials: AirtableCredentials):
self.logger = logger
self.api_key = credentials.api_key
self.base_id = ... | patrikbraborec/good-crm-analytics | src/extract/adapters/airtable/impl.py | impl.py | py | 1,004 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.Logger",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "extract.adapters.airtable.credentials.AirtableCredentials",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pyairtable.Table",
"line_number": 18,
"usage_type": "call"
}
] |
41791316904 | import pytessy as pt
from PIL import ImageFilter, Image
if __name__ == "__main__":
# Create pytessy instance
ocrReader = pt.PyTessy()
files = ["cell_pic.jpg"]
for file in files:
# Load Image
img = Image.open(file)
# Scale up image
w, h = img.size
img = img.resize((2 * w, 2 * h))
# Sharpen imag... | TheNova22/OurVision | legacy1/testtessy.py | testtessy.py | py | 628 | python | en | code | null | github-code | 6 | [
{
"api_name": "pytessy.PyTessy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFilter.SHARPEN",
... |
26969758526 | import os
import time
import numpy as np
import torch
from torchvision.utils import make_grid
from torchvision.transforms import ToPILImage
from base import BaseTrainer
from evaluate import get_fid_score, get_i3d_activations, init_i3d_model, evaluate_video_error
from utils.readers import save_frames_to_dir
from model... | amjltc295/Free-Form-Video-Inpainting | src/trainer/trainer.py | trainer.py | py | 21,228 | python | en | code | 323 | github-code | 6 | [
{
"api_name": "base.BaseTrainer",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "model.loss",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "model.loss.AdversarialLoss",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "torchvisio... |
13155871471 | import serial
import time
# pass in upper and lower 8 bit values
# returns the 16 bit value as an int
# def PrintContcatBytes(valueOne, valueTwo):
# print bin(valueOne)[2:].rjust(8,'0')
class ReturnValue(object):
def __init__(self, valid, pm10, pm25, pm100, num3, num5, num10, num25, num50, num100):
self.... | learnlafayette/sensors | sensors/sensors/test/samples/pm_sample.py | pm_sample.py | py | 2,794 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 71,
"usage_type": "call"
}
] |
1480464469 | from jinja2 import DebugUndefined
from app.models import db, Order
from datetime import datetime
def seed_orders():
christian = Order(
userId=1,
gigId=2,
gigImage='https://nerdrr.s3.amazonaws.com/fruits-basket.jpg',
deliveryInstructions='Please mail directly to me.',
placed=datetime(2022, 6, 5, 8... | Amlovern/nerdrr | app/seeds/orders.py | orders.py | py | 1,402 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.models.Order",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.models.Order"... |
25069435045 | from typing import List, Any, Tuple
from ups_lib.av_request import AddressValidationRequest
from purplship.core.utils import (
XP,
DP,
request as http,
exec_parrallel,
Serializable,
Deserializable,
Envelope,
Pipeline,
Job,
)
from purplship.api.proxy import Proxy as BaseProxy
from pur... | danh91/purplship | sdk/extensions/ups/purplship/mappers/ups/proxy.py | proxy.py | py | 3,654 | python | en | code | null | github-code | 6 | [
{
"api_name": "purplship.api.proxy.Proxy",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "purplship.mappers.ups.settings.Settings",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "purplship.core.utils.Serializable",
"line_number": 21,
"usage_type": "n... |
18100941624 | """
739. Daily Temperatures
https://leetcode.com/problems/daily-temperatures/
"""
from typing import List
from unittest import TestCase, main
class Solution:
def dailyTemperatures(self, temperatures: List[int]) -> List[int]:
stack: List[int] = []
# List of indexes, not temperatures
answer ... | hirotake111/leetcode_diary | leetcode/739/solution.py | solution.py | py | 1,081 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
}
] |
21340780197 | import sqlite3
from recipe import Recipe, Quantity, stringsToQuantities
class Database:
def __init__(self,database):
self.connection = sqlite3.connect(database)
self.c = self.connection.cursor()
# self.c.execute("""DROP TABLE IF EXISTS ingredients""")
# self.c.execute("""DROP T... | fcopp/RecipeApplication | backend/backend.py | backend.py | py | 7,842 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "recipe.name",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "recipe.name",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "recipe.name",
"l... |
1369504657 | # -*- coding: utf-8 -*-
import RPi.GPIO as GPIO
import time, datetime
from lcd import *
from Email import *
import server
lcd_init ()
GPIO.setmode(GPIO.BOARD)
print('System start/restart - ' + str(datetime.datetime.now()))
#Switch for Bin 1 to be connected to pin 18 and 3.3v pin
#Switch for Bin 2 to be connected to... | CraigHissett/TM_Timber | BinSensor/BinSensor.py | BinSensor.py | py | 1,875 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",... |
21114723474 | import os
from dotenv import load_dotenv, dotenv_values
# FOR LOG
import logging
from logging.handlers import RotatingFileHandler
import datetime
import math
import json
# Load environmental variable
config = dotenv_values(".env")
# --------------------------------------------------- LOGGING ---------------... | Splroak/add_member_telegram | src/test_BatchProcessor.py | test_BatchProcessor.py | py | 2,365 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_... |
24117960481 | import gym
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions import Categorical
import numpy as np
from skimage.transform import resize
# hyper params
gamma = 0.98
class Policy(nn.Module):
def __init__(self):
super(Policy, sel... | sachinumrao/pytorch_tutorials | cnn_breakout_rl.py | cnn_breakout_rl.py | py | 4,757 | python | en | code | 0 | 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": "torch.nn.Conv2d",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
43371065244 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class Spider:
try:
page = webdriver.Chrome()
url = "https://music.163.com/#/song?id=31654747"
page.get(url)
search = page.find_element_by_id("srch")
search.send_keys("aaa")
search.send_ke... | frebudd/python | autoinput.py | autoinput.py | py | 382 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.ENTER",
"line_number": 12,
"usage_type": "attribute"
},
... |
28800521491 | """Function to calculate the enrichment score for a given similarity matrix."""
import numpy as np
import pandas as pd
from typing import List, Union
import scipy
from cytominer_eval.utils.operation_utils import assign_replicates
def enrichment(
similarity_melted_df: pd.DataFrame,
replicate_groups: List[str]... | cytomining/cytominer-eval | cytominer_eval/operations/enrichment.py | enrichment.py | py | 2,845 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"lin... |
9837240055 | from urllib.parse import urljoin
import requests
import json
from fake_useragent import UserAgent
from lxml import html
import re
from pymongo import MongoClient
ua = UserAgent()
movie_records = []
first = True
base_url = "https://www.imdb.com/"
url = "https://www.imdb.com/search/title/?genres=drama&groups=top_250&sor... | shreyashettyk/DE | Imdb_data_extraction/imdb.py | imdb.py | py | 2,184 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fake_useragent.UserAgent",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "lxml.html",... |
19239185532 | # stack ! 과제는 끝나지 않아!
# 효율 고려 X, 하나 넣고 하나 빼기
import sys
from collections import deque
input = sys.stdin.readline
N = int(input())
S = deque() # 과제 넣어두는 스택
tot = 0 # 총 점수
for _ in range(N):
W = list(map(int, input().split()))
if W[0]: # 새 과제가 있다면
if W[2] == 1: # 지금 바로 끝낼 수 있으면 점수 바로 더해주기
... | sdh98429/dj2_alg_study | BAEKJOON/stack/b17952.py | b17952.py | py | 878 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
11900486194 | import dash
from dash import html
from matplotlib import container
from navbar import create_navbar
import dash_bootstrap_components as dbc
from dash import Dash, html, dcc, Input, Output
import plotly.express as px
import pandas as pd
f_sb2021 = pd.read_csv("f_sb2021.csv", on_bad_lines='skip', sep=';')
f_sb2022 = pd.... | jeanpierec/ljpiere_projects | DataScience_projects/Proyecto5_DS4ABucaramanga/home.py | home.py | py | 4,956 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
38701948852 | #coding=utf8
import config
import json
import sys, time
py3k = sys.version_info.major > 2
import os.path
import urllib
if py3k:
from urllib import parse as urlparse
else:
import urlparse
def get_one():
return config.dbconn().fetch_rows('http', condition={'checked': 0}, order="id asc", limit="1", fetchone=True)
de... | 5alt/ZeroExploit | parser.py | parser.py | py | 2,452 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.dbconn",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urlparse.urlparse",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
17441173344 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import streamlit as st
import ptitprince as pt
def scatter_plot(df,fig):
hobbies = []
for col in df.columns:
hobbies.append(col)
print(col)
st.title(" Scatter Plot")
hobby = st.selectbox("X-axis: ", hobbies)
#... | imsanjoykb/Data-Analytics-Tool-Development | apps/graphs.py | graphs.py | py | 4,249 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "streamlit.title",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.selectb... |
14150647036 | import json
import re
from requests_toolbelt import MultipartEncoder
from todayLoginService import TodayLoginService
from liteTools import *
class AutoSign:
# 初始化签到类
def __init__(self, todayLoginService: TodayLoginService, userInfo):
self.session = todayLoginService.session
self.host = today... | zuiqiangdexianyu/ruoli-sign-optimization | actions/autoSign.py | autoSign.py | py | 16,038 | python | en | code | null | github-code | 6 | [
{
"api_name": "todayLoginService.TodayLoginService",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "todayLoginService.session",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "todayLoginService.host",
"line_number": 14,
"usage_type": "attribute"
... |
72729319867 | # External dependencies
import openai
import io
import os
import tempfile
from datetime import datetime
from flask import render_template, request, url_for, redirect, flash, Response, session, send_file, Markup
from flask_login import login_user, login_required, logout_user, current_user
from flask_mail import Message
... | joaomorossini/Clever-Letter-Generator | routes.py | routes.py | py | 10,934 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.request.headers.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "ap... |
33846054954 | from jwst.stpipe import Step
from jwst import datamodels
from ..datamodels import TMTDarkModel
from . import dark_sub
from ..utils.subarray import get_subarray_model
__all__ = ["DarkCurrentStep"]
class DarkCurrentStep(Step):
"""
DarkCurrentStep: Performs dark current correction by subtracting
dark curr... | oirlab/iris_pipeline | iris_pipeline/dark_current/dark_current_step.py | dark_current_step.py | py | 1,857 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jwst.stpipe.Step",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "jwst.datamodels.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "jwst.datamodels",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "datamodels.TMTD... |
2856090188 | import unittest
from conans.test.tools import TestClient
from conans.util.files import load
import os
import platform
class ConanEnvTest(unittest.TestCase):
def conan_env_deps_test(self):
client = TestClient()
conanfile = '''
from conans import ConanFile
class HelloConan(ConanFile):
name = "... | AversivePlusPlus/AversivePlusPlus | tools/conan/conans/test/integration/conan_env_test.py | conan_env_test.py | py | 2,180 | python | en | code | 31 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "conans.test.tools.TestClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os... |
72332661307 | #!/usr/bin/env python3
import os
import configparser
from mongoengine.connection import connect
from .data_model import Post
from .render_template import render
from .mailgun_emailer import send_email
def email_last_scraped_date():
## mongodb params (using configparser)
config = configparser.ConfigParser()
... | alysivji/reddit-top-posts-scrapy | top_post_emailer/__init__.py | __init__.py | py | 917 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",... |
25575181895 | from typing import List
class Solution:
def rotate(self, nums: List[int], k: int) -> None:
new_array = [1]*len(nums)
for i in range(len(nums)):
new_p = (i - k)%len(nums)
new_array[i] = nums[new_p]
return new_array
s = Solution()
l = [1,2,3,4,5,6,7]
x = s.rotate(l,... | ThadeuFerreira/python_code_challengers | rotate_array.py | rotate_array.py | py | 331 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
35116816269 | # Import the libraries
import cv2
import numpy as np
import math as m
from matplotlib import pyplot as plt
#-- PRE-PROCESSING --
# Read the image
nimg = 'image1' # Change 'image1' for the name of your image
image = cv2.imread(nimg + '.jpg')
# Extract the RGB layers of the image
rgB = np.matrix(image[:,:,0]) # Blue
rGb... | selenebpradop/basic_exercises-computer_vision | contours_of_an_image_v2.py | contours_of_an_image_v2.py | py | 2,461 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number"... |
74750166267 | from src.components import summarizer
from celery import Celery
from celery.utils.log import get_task_logger
from EmailSender import send_email
logger = get_task_logger(__name__)
celery = Celery(
__name__, backend="redis://127.0.0.1:6379", broker="redis://127.0.0.1:6379"
)
@celery.task(name="summarizer")
def Gma... | SVijayB/Gist | scripts/flask_celery.py | flask_celery.py | py | 816 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "celery.Celery",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "src.components.summarizer.summarize",
"line_number": 16,
"usage_type": "call"
},
{
"... |
25293805211 | import unittest
from task import fix_encoding
expected_content = """Roses are räd.
Violets aren't blüe.
It's literally in the name.
They're called violets.
"""
filename = "example.txt"
output = "output.txt"
class TestCase(unittest.TestCase):
def setUp(self) -> None:
with open(filename, "w") as f:
... | DoctorManhattan123/edotools-python-course | Strings, inputs and files/file encoding/tests/test_task.py | test_task.py | py | 604 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "task.fix_encoding",
"line_number": 21,
"usage_type": "call"
}
] |
6146581577 | import datetime
import pyttsx3
import speech_recognition as sr
import wikipedia
import webbrowser
import pywhatkit
import time
import threading
import newsapi
import random
maquina = pyttsx3.init()
voz = maquina.getProperty('voices')
maquina.setProperty('voice', voz[1].id)
def executa_comando():
t... | lucasss45/Fryday-IA | alfredv2.6.py | alfredv2.6.py | py | 6,390 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "pyttsx3.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
26829773618 |
#######################################
# This file computes several characteristics of the portage graph
#######################################
import math
import sys
import core_data
import hyportage_constraint_ast
import hyportage_data
import utils
import graphs
import host.scripts.utils
from host.scripts impor... | HyVar/gentoo_to_mspl | host/statistics/statistics.py | statistics.py | py | 14,279 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "host.scripts.utils.scripts",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "host.scripts.utils",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "sys.maxi... |
26239060381 | #!/usr/bin/env python3
'''
This script will incement the major version number of the specified products.
It is assumed that the version number in the label itself is correct, and the version
just needs to be added on to the filename.
Usage:
versioning.py <label_file>...
'''
import re
import os
import sys
from bs4 im... | sbn-psi/data-tools | orex/pds4-tools/versioning.py | versioning.py | py | 5,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
71470012027 | from lxml import etree
from xml.etree import ElementTree
def get_text_from_file(xml_file):
tree = etree.parse(xml_file)
root = tree.getroot()
for element in root.iterfind('.//para'):
for ele in element.findall('.//display'):
parent = ele.getparent()
parent.remove(ele)
... | ayandeephazra/Natural_Language_Processing_Research | PaperDownload/papers/process_xml.py | process_xml.py | py | 349 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "lxml.etree.parse",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.dump",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xml.etree.Elemen... |
23704854533 | #!/usr/bin/env python3
import json
import os
import requests
import datetime
base_url="https://raw.githubusercontent.com/threatstop/crl-ocsp-whitelist/master/"
uri_list=['crl-hostnames.txt','crl-ipv4.txt','crl-ipv6.txt','ocsp-hostnames.txt','ocsp-ipv4.txt','ocsp-ipv6.txt']
dict=dict()
dict['list']=list()
def source_r... | 007Alice/misp-warninglists | tools/generate-crl-ip-list.py | generate-crl-ip-list.py | py | 943 | python | en | code | null | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
... |
43005467228 | """
Utility functions
"""
import torch
import matplotlib as mpl
import numpy as np
import math
mpl.use('Agg')
from matplotlib import pyplot as plt
def sin_data(n_train, n_test, noise_std, sort=False):
"""Create 1D sine function regression dataset
:n_train: Number of training samples.
:n_test: Number of t... | weiyadi/dlm_sgp | conjugate/utils.py | utils.py | py | 4,966 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.sin",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.rand",
"line_number": ... |
30969861276 | import matplotlib.pyplot as plt
import time
import numpy as np
from PIL import Image
class graphic_display():
def __init__(self):
self.um_per_pixel = 0.5
self.cm_hot = plt.get_cmap('hot')
self.cm_jet = plt.get_cmap('jet')
self.cm_vir = plt.get_cmap('virid... | peterlionelnewman/flow_lithographic_printer | Graphic_display.py | Graphic_display.py | py | 6,222 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
39607752443 | import logging
import os
from django.conf import settings
from django.core.management.base import BaseCommand
from core.management.commands import configure_logging
from core.models import Batch, OcrDump
configure_logging("dump_ocr_logging.config", "dump_ocr.log")
_logger = logging.getLogger(__name__)
class Comma... | open-oni/open-oni | core/management/commands/dump_ocr.py | dump_ocr.py | py | 1,024 | python | en | code | 43 | github-code | 6 | [
{
"api_name": "core.management.commands.configure_logging",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 15,
"usage_type": "... |
2962541494 | # TomoPy recon on Cyclone: compare different algorithms
import tomopy
import dxchange
import numpy as np
import os
import logging
from time import time
def touint8(data, quantiles=None):
# scale data to uint8
# if quantiles is empty data is scaled based on its min and max values
if quantiles == None:
... | SESAME-Synchrotron/BEATS_recon | tests/Cyclone/tomopy_testCyclone_recon_algorithms_comparison.py | tomopy_testCyclone_recon_algorithms_comparison.py | py | 2,975 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.min",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.quantile",
"line_number": 2... |
20186345178 | # Import pakages
import torch
import torch.nn as nn
import gym
import os
import torch.nn.functional as F
import torch.multiprocessing as mp
import numpy as np
# Import python files
from utils import v_wrap, set_init, push_and_pull, record
from shared_adam import SharedAdam
os.environ["OMP_NUM_THREADS"] = "1"
os.enviro... | smfelixchoi/MATH-DRL-study | 6.A3C/discrete_A3C.py | discrete_A3C.py | py | 4,973 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "gym.make",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_... |
21379925078 | from bogos import ScrapeBogos
import configparser
import twitter
def lambda_handler(event, context):
config = configparser.ConfigParser()
config.read('config.ini');
keywords = ''
keywordMultiWord = False
url = ''
prefixText = ''
postfixText = ''
noBogoText = ''
print('Config values:')
if 'BOGO' n... | DFieldFL/publix-bogo-notification | BogoMain.py | BogoMain.py | py | 2,732 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bogos.ScrapeBogos",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "bogos.initialize",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "bogos.get... |
16704497954 | import pickle
import numpy as np
import scipy.io as sio
from library.error_handler import Error_Handler
class Data_Loader:
def load_data_from_pkl(self, filepath_x, filepath_y, ordering="True"):
with open(filepath_x, "rb") as file_x:
x_data = pickle.load(file_x)
with o... | tzee/EKDAA-Release | library/data_loader.py | data_loader.py | py | 2,380 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_numbe... |
36064906771 | '''
Created on 2017-1-13
@author: xuls
'''
from PIL import Image
import os
PATH2=os.path.dirname(os.getcwd())
def classfiy_histogram(image1,image2,size = (256,256)):
image1 = image1.resize(size).convert("RGB")
g = image1.histogram()
image2 = image2.resize(size).convert("RGB")
s = ima... | xulishuang/qichebaojiadaquan | src/script/sameas.py | sameas.py | py | 1,917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number... |
162022841 |
import time
from selenium import webdriver
from django.contrib.staticfiles.testing import StaticLiveServerTestCase
from .pages.login import LoginPage
class ManageUserTestCase(StaticLiveServerTestCase):
def setUp(self):
self.browser = webdriver.Firefox()
self.browser.implicitly_wait(20)
s... | pophils/TaskManagement | yasanaproject/tests/functional/test_manage_user.py | test_manage_user.py | py | 2,447 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.staticfiles.testing.StaticLiveServerTestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type... |
70602414269 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 19 11:06:45 2020
@author: xchen
"""
## required packages
# system imports
import os
import sys
from termcolor import colored
from colorama import init
# data manipulation and data clean
from nltk.corpus import stopwords
# sklearn
from sklearn imp... | linnvel/text-classifier-master | ML.py | ML.py | py | 5,072 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.pat... |
34608371364 | import os.path
import json
import os
def readDIPfile(parent_path):
edges = {}
index = 0
xmlfilepath = os.path.join(parent_path, r'data\Hsapi20170205CR.txt')
f = open(xmlfilepath)
lines = f.readlines()
for line in lines:
line_list = line.strip("\n").split("\t")
if line_list[9] ==... | LittleBird120/DiseaseGenePredicition | DiseaseGenePredicition/Human_COVID_node2vec20210315/data_processing/readHumanProtein.py | readHumanProtein.py | py | 919 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.dump",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number"... |
1435864274 | import math
import numpy as np
import cv2
from matplotlib import pyplot as plt
def Euclidean_Distance(pointA, pointB):
ans = ((pointA[0] - pointB[0])**2+(pointA[1] - pointB[1])**2)**0.5
return ans
def Flat_Kernel(distance, bandwidth, point_number):
inRange = []
weight = np.zeros((point_numb... | laitathei/algorithm_implemention | machine_learning/Mean_Shift/utils.py | utils.py | py | 1,331 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 21,
... |
8519707697 | import bs4 as bs
import requests
import regex as re
import pandas as pd
from src.config import *
def get_page_body(url: str):
try:
response = requests.get(url, timeout=10)
if response.status_code == 200:
page = bs.BeautifulSoup(response.text)
return page.body
except req... | bakalstats/py_project | src/scraping_utils.py | scraping_utils.py | py | 2,826 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "requests.exce... |
73795089468 | import json
import os
from flask import current_app, redirect, request, Response
from . import blueprint
@blueprint.route("/routes")
def routes():
data = {
"name": current_app.config["name"],
"version": current_app.config["version"],
"routes": {
"api": [
"/api/... | cumbof/igv-flask | igv/routes/basics.py | basics.py | py | 1,385 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.current_app.config",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.current_app.config",
"line_number": 12,
"usage_type": "attribute"
},
{
"api... |
6448028292 | import datetime
import time
import MySQLdb
import cv2, os
cascadePath = ("haarcascade_frontalface_default.xml")
faceCascade = cv2.CascadeClassifier(cascadePath)
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read('dataTrain/train.yml')
now = datetime.datetime.now()
def getProfile(id):
db = MySQLdb.... | Kuroboy/Presensi-Face | faceRec.py | faceRec.py | py | 1,634 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.face.LBPHFaceRecognizer_create",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.face",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "d... |
73900222588 | # coding: utf-8
import unittest
import os
from django.conf import settings
from studitemps_storage.path import guarded_join
from studitemps_storage.path import guarded_safe_join
from studitemps_storage.path import guarded_join_or_create
from studitemps_storage.path import FileSystemNotAvailable
ABSPATH = os.path.a... | STUDITEMPS/studitools_storages | studitemps_storage/tests/suites/path.py | path.py | py | 3,073 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
25571472390 | import logging
# fmt = "%(name)s----->%(message)s----->%(asctime)s"
# logging.basicConfig(level="DEBUG",format=fmt)
# logging.debug("这是debug信息")
# logging.info('这是info信息')
# logging.warning('这是警告信息')
# logging.error('这是错误信息')
# logging.critical('这是cri信息')
logger = logging.getLogger('heihei') #默认的打印级别是WARNING，所以当跟控制台... | lishuangbo0123/basic | history_study/test.py | test.py | py | 1,059 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.Fil... |
25754911493 | import os
from multiprocessing import freeze_support,set_start_method
import multiprocessing
from Optimization import Optimization
from GA import RCGA
from PSO import PSO
if __name__=='__main__':
from datetime import datetime
start = datetime.now()
print('start:', start.strftime("%m.%d.%H.%M"))
multipr... | zhengjunhao11/model-updating-framework | program_framework/Input.py | Input.py | py | 1,002 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "multiprocessing.freeze_support",
"line_number": 12,
"usage_type": "call"
},
{
"api_name":... |
1066446639 | """
This module defines the interface for communicating with the sound module.
.. autoclass:: _Sound
:members:
:undoc-members:
:show-inheritance:
"""
import glob
import os
import platform
import subprocess
from functools import partial
from opsoro.console_msg import *
from opsoro.sound.tts import TTS
from o... | OPSORO/OS | src/opsoro/sound/__init__.py | __init__.py | py | 4,683 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "functools.partial",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
... |
73816196028 | import numpy as np
import matplotlib.pyplot as plt
import difuzija as di
import sys
sys.getdefaultencoding()
def rho(x):
if x >= 2.0 and x <= 5.0:
return 5.5
else:
return 0.0
j = [0, 100, 200, 300, 400]
t = [0.5*J for J in j]
P1 = [0.0, 20.0, 0.0, t[0]] #pocetni uvjeti
P2 = [0.0, 20.0, 0.... | FabjanJozic/MMF3 | Predavanje12_PDJ/Zadatak1.py | Zadatak1.py | py | 1,404 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.getdefaultencoding",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "difuzija.D_exp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "difuzija.D_exp",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "difuzija.D_exp",
... |
14594327515 | import tensorflow as tf
import json
from model_provider import get_model
from utils.create_gan_tfrecords import TFRecordsGAN
from utils.augment_images import augment_autoencoder
import os
import tensorflow.keras as K
import datetime
import string
from losses import get_loss, gradient_penalty
import argparse
physical_d... | AhmedBadar512/Badr_AI_Repo | cycle_gan_train.py | cycle_gan_train.py | py | 18,298 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number":... |
36914067207 | from django.urls import path
from rest_framework import routers
from user_accounts import views
router = routers.DefaultRouter()
# router.register('users', user_viewsets)
urlpatterns = [
path('create_user/', views.create_user.as_view(), name='create_user'),
path('login_user/', views.login_user.as_view(), name... | AmbeyiBrian/ELECTRONIC-SCHOOL-MANAGER-KENYA | elimu_backend/user_accounts/urls.py | urls.py | py | 649 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_nam... |
74927169786 | '''
The photon Project
-------------------
File: read_conf.py
This file reads the configuration file
@author: R. THOMAS
@year: 2018
@place: ESO
@License: GPL v3.0 - see LICENCE.txt
'''
#### Python Libraries
import configparser
import os
class Conf:
"""
This Class defines the arguments to be calle to use... | astrom-tom/Photon | photon/read_conf.py | read_conf.py | py | 3,134 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
74182045309 | """feature for malware."""
import os.path
from abc import ABC, abstractmethod
import numpy as np
import filebrowser
import lief
from capstone import *
class Feature(ABC):
"""interface for all feature type."""
def __init__(self):
super().__init__()
self.dtype = np.float32
self.name =... | dagrons/try | feature/feature.py | feature.py | py | 3,314 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.float32",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_num... |
9380859967 | import numpy as np
import time, glob, cv2
from pymycobot import MyCobotSocket
from pymycobot import PI_PORT, PI_BAUD
from single_aruco_detection import marker_detecting
from forward_kinematics import F_K
from inverse_kinematics import I_K
import matplotlib.pyplot as plt
from scipy.linalg import orthogonal_procrustes
... | zzZzzccHEnn/Visual_Tracking | evaluation.py | evaluation.py | py | 3,833 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 25,
... |
23595304281 | import os
import re
import time
from option import Option
import pandas as pd
import wget as wget
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
import download
__author__ = 'Song Hui' # 作者名
def get_options_from_command_line():
... | songofhawk/simplerpa | test/test_selenium/facebook_download.py | facebook_download.py | py | 4,871 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "option.Option",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
41707501948 | import tensorflow as tf
from config import cfg
def detect_loss():
def get_box_highest_percentage(arr):
shape = tf.shape(arr)
reshaped = tf.reshape(arr, (shape[0], tf.reduce_prod(shape[1:-1]), -1))
# returns array containing the index of the highest percentage of each batch
# wher... | burnpiro/tiny-face-detection-tensorflow2 | model/loss.py | loss.py | py | 1,942 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "tensorflow.shape",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.reshape",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.reduce_prod",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.ar... |
13348518622 | import argparse
import datetime
import pathlib
import subprocess
import sys
import time
import run_all_utils
command = '''
python ../modules/S3segmenter/large/S3segmenter.py
--imagePath "{}"
--stackProbPath "{}"
--outputPath "{}"
--probMapChan {probMapChan}
--area-max 50000
-... | Yu-AnChen/orion-scripts | processing/command-s3seg.py | command-s3seg.py | py | 2,454 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "run_all_utils.init... |
10966555857 | import json
class Config(dict):
def __init__(self, path=None, section='default', *args, **kwargs):
super().__init__(*args, **kwargs)
if path is not None:
self.read(path, section)
def read(self, path, section='default'):
'''read config from config file.
will... | lycsjm/acgnmanager | src/lib/config.py | config.py | py | 1,751 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 52,
"usage_type": "call"
}
] |
8632528934 | from multiprocessing import cpu_count
from deepsecrets.core.utils.fs import path_exists
QUOTA_FILE = '/sys/fs/cgroup/cpu/cpu.cfs_quota_us'
PERIOD_FILE = '/sys/fs/cgroup/cpu/cpu.cfs_period_us'
CGROUP_2_MAX = '/sys/fs/cgroup/cpu.max'
class CpuHelper:
def get_limit(self) -> int:
multiproc_limit = self._by... | avito-tech/deepsecrets | deepsecrets/core/utils/cpu.py | cpu.py | py | 1,763 | python | en | code | 174 | github-code | 6 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "deepsecrets.core.utils.fs.path_exists",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "deepsecrets.core.utils.fs.path_exists",
"line_number": 35,
"usage_type": ... |
32749134758 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix, classification_report
def main():
# the g... | AleksandarPav/Decision-Tree-and-Random-Forest | main.py | main.py | py | 3,272 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
40170866347 | import os
import numpy as np
import cv2
import imutils
import sys
np.set_printoptions(threshold=sys.maxsize)
corner_shapes_map = {
3: "triangle",
4: "rectangle",
5: "pentagon",
6: "hexagon"
}
model_prediction_map = {
0: "triangle",
1: "rectangle",
2: "circle"
}
def get_corners_in_canva... | nirajsrimal/UWB_2FA | BackEnd/solver.py | solver.py | py | 2,434 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.findContours",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.RETR_EXTER... |
73016396668 | # TODO save output in a set to remove duplicated warnings
import sys
import time
import subprocess
import linecache
rules = {
"false":[
"PyArg_ParseTuple"
],
"NULL":[
"Py_BuildValue",
"PyLong_FromLong",
#"PyBytes_FromStringAndSize",
#"PyBytes_AsString",
#"Py... | S4Plus/pyceac | checkers/2/checker.py | checker.py | py | 4,376 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "subprocess.Popen",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "linecache.getline",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "linecache.get... |
36406902723 | #!/usr/bin/env python
# -*- coding: utf-8 -*
import os
import csv
import cloudpickle
import numpy as np
import pandas as pd
from scipy.integrate import quad
from scipy.stats import (
gaussian_kde,
ks_2samp,
t
)
from sklearn.feature_selection import SelectorMixin
from sklearn.base import Tr... | mcrts/dmatch | dmatch/utils.py | utils.py | py | 11,860 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "csv.QUOTE_ALL",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.default_rng",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "numpy.l... |
41648714624 | import unittest
from PIL import Image
import numpy as np
from texture.analysis import CoOccur
class MyTestCase(unittest.TestCase):
def test_offset_slices(self):
slices = CoOccur._offset_slices(4, 225)
self.assertEqual(slices, ([[None, -3], [3, None]], [[3, None], [None, -3]]))
pixels = np... | MatteoZanella/siv-texture-analysis | tests/test_com.py | test_com.py | py | 2,951 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "texture.analysis.CoOccur._offset_slices",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "texture.analysis.CoOccur",
"line_number": 9,
"usage_type": "name"
},
{
... |
41236509775 | from django.urls import path
from rest_framework.routers import DefaultRouter
from . import views
urlpatterns = [
]
router = DefaultRouter()
router.register("porcelain", viewset=views.PorcelainView, basename="porcelain")
router.register("dynasty", viewset=views.DynastyView, basename="dynasty")
router.register("Empe... | beishangongzi/porcelain-backend | predict_model/urls.py | urls.py | py | 412 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 10,
"usage_type": "call"
}
] |
18390234941 | from django import template
from photos.models import GalleryCustom
register = template.Library()
@register.filter
def stripgallery(title):
"""
Remove gallery prefix from photo titles of the form gallery__mytitle.
"""
idx = title.find("__")
if idx < 0:
return title
return title[idx+... | ria4/tln | photos/templatetags/photos_extras.py | photos_extras.py | py | 1,682 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "photos.models.GalleryCustom.objects.filter",
"line_number": 24,
"usage_type": "call"
},
{
"... |
5896021463 | import torch
import torch.utils.data as data
import numpy as np
from collections import defaultdict
from tqdm import tqdm
from copy import deepcopy
import config_data as conf
import random
infor_train_data_path = np.load('/content/drive/MyDrive/DASR-WGAN/data/dianping/version3/infor_train.npy', allow_pickle = True).t... | PeiJieSun/AAAI-submission | DataModule_domain_infor.py | DataModule_domain_infor.py | py | 19,566 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 13,
... |
16090817554 | from django.urls import path
from . import api_endpoints as views
from .api_endpoints.Contacts.ContactsList.views import ContactListAPIView
app_name = 'about'
urlpatterns = [
path('addresses/', views.AddressListAPIView.as_view(), name='address_list'),
path('company_stats/', views.CompanyStatListAPIView.as_vi... | bilolsolih/decormax | apps/about/urls.py | urls.py | py | 863 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
25097408304 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 15 09:34:07 2022
@author: maria
"""
import numpy as np
import pandas as pd
from numpy import zeros, newaxis
import matplotlib.pyplot as plt
import scipy as sp
from scipy.signal import butter,filtfilt,medfilt
import csv
import re
#getting the F traces which are classi... | mariacozan/Analysis_and_Processing | functions/functions2022_07_15.py | functions2022_07_15.py | py | 26,567 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number":... |
22555751097 | from flask_app.config.mysqlconnection import connectToMySQL
from flask import flash
class Product:
db = "my_solo"
def __init__(self, data):
self.id = data['id']
self.wood = data['wood']
self.thickness = data['thickness']
self.description = data['description']
self.crea... | tsu112/solo_project | flask_app/models/product.py | product.py | py | 2,288 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",... |
30357845811 | import unittest
from traits.api import Enum, HasTraits, Int, Str, Instance
from traitsui.api import HGroup, Item, Group, VGroup, View
from traitsui.menu import ToolBar, Action
from traitsui.testing.api import Index, IsVisible, MouseClick, UITester
from traitsui.tests._tools import (
create_ui,
requires_toolkit... | enthought/traitsui | traitsui/qt/tests/test_ui_panel.py | test_ui_panel.py | py | 8,436 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "traits.api.Int",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "traits.api.Str",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "traits.api.Instanc... |
15409655756 | """
一个网站域名，如"discuss.leetcode.com"，包含了多个子域名。作为顶级域名，常用的有"com"，下一级则有"leetcode.com"，最低的一级为"discuss.leetcode.com"。当我们访问域名"discuss.leetcode.com"时，也同时访问了其父域名"leetcode.com"以及顶级域名 "com"。
给定一个带访问次数和域名的组合，要求分别计算每个域名被访问的次数。其格式为访问次数+空格+地址，例如："9001 discuss.leetcode.com"。
接下来会给出一组访问次数和域名组合的列表cpdomains 。要求解析出所有域名的访问次数，输出格式和输入格式相同，... | Octoberr/letcode | easy/811subdomainvisitcount.py | 811subdomainvisitcount.py | py | 1,796 | python | zh | code | 1 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 27,
"usage_type": "call"
}
] |
17642557437 | import os
from flask import Flask, request, jsonify
from flask_pymongo import PyMongo
from bson import ObjectId
import bcrypt
import jwt
import ssl
import datetime
from functools import wraps
from dotenv import load_dotenv
load_dotenv('.env')
app = Flask(__name__)
app.config['MONGO_URI'] = os.environ.get('MONGO_URI')... | abhi1083/simple_crud_ops | main.py | main.py | py | 6,831 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
45333966266 | from markdown import markdown
from unittest import TestCase
from markdown_vimwiki.extension import VimwikiExtension
class TestExtension(TestCase):
def test_default_config(self):
source = """
Hello World
===========
* [-] rejected
* [ ] done0
* [.] done1
* [o] done2
* [O] done3
* [X] done... | makyo/markdown-vimwiki | markdown_vimwiki/tests/test_extension.py | test_extension.py | py | 1,499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "markdown.markdown",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "markdown_vimwiki.extension.VimwikiExtension",
"line_number": 38,
"usage_type": "call"
},
{
"ap... |
13489533801 | import json
import requests
resource = requests.post('http://216.10.245.166/Library/DeleteBook.php',
json = {"ID" : "ashish123227"}, headers={'Content-Type' : 'application/json' }
)
assert resource.status_code == 200 , f'the api failed with an error messages as : {resource.text}'
response... | bhagatashish/APT_Testing | delete_book.py | delete_book.py | py | 462 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
}
] |
18777503409 | from flask import Flask
from flask import render_template
from pymongo import MongoClient
import json
from bson import json_util
from bson.json_util import dumps
import random
import numpy as np
import ast
import pandas as pd
from sklearn import preprocessing
from sklearn.cluster import KMeans
from sklearn.metrics.pair... | rbadri91/N.C.-Crime-Data-Visualization | app.py | app.py | py | 11,214 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
20426981888 | """
All rights reserved.
--Yang Song (songyangmri@gmail.com)
--2021/1/7
"""
import os
import pickle
import random
from abc import abstractmethod
from lifelines import CoxPHFitter, AalenAdditiveFitter
from lifelines.utils.printer import Printer
from lifelines import utils
from SA.Utility import mylog
from SA.DataConta... | salan668/FAE | SA/Fitter.py | Fitter.py | py | 2,221 | python | en | code | 121 | github-code | 6 | [
{
"api_name": "SA.DataContainer.DataContainer",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pickle.dump"... |
5005373290 | from typing import Any, Iterable, MutableMapping
from typing_extensions import TypeAlias
from .. import etree
from .._types import Unused, _AnyStr, _ElemClsLookupArg, _FileReadSource
from ._element import HtmlElement
_HtmlElemParser: TypeAlias = etree._parser._DefEtreeParsers[HtmlElement]
#
# Parser
#
# Stub versio... | abelcheung/types-lxml | lxml-stubs/html/_parse.pyi | _parse.pyi | pyi | 5,211 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "typing_extensions.TypeAlias",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "_element.HtmlElement",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "_element.HtmlElement",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "_... |
30366690531 | """
Example of how to use a DataView and bare renderers to create plots
"""
from numpy import linspace, sin, cos
# Enthought library imports.
from chaco.api import (
DataView,
ArrayDataSource,
ScatterPlot,
LinePlot,
LinearMapper,
)
from chaco.tools.api import PanTool, ZoomTool
from enable.api impo... | enthought/chaco | chaco/examples/demo/data_view.py | data_view.py | py | 2,098 | python | en | code | 286 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "enable.api.Component",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "tra... |
40194290799 | import tweepy
import time
print('Starting bot....')
CONSUMER_KEY = "Cqw4pXPk4lz2EEUieSDKjKuQT"
CONSUMER_SECRET = "AhQZvxkBNS2bmXdUOX8tu5SoZi9vYdNimwmTuzkE9ZJJuzTEk5"
ACCES_KEY = "1323551878483865600-LVgJ1466OXyOnZqKNt4H3k0hBBQlmO"
ACCES_SECRET = "yWdPUmakm5Cn4eMURajaZkNkbeaXgLhzvD7msCsB5Ipxw"
auth = tweepy.OAuthHandl... | byte-exe/bot-reply-back_tweets | twt_bot.py | twt_bot.py | py | 1,355 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 45,
"usage_type": "call"
}
] |
21141343602 | import asyncio
import math
import sys
from collections import Counter, defaultdict
from pprint import pprint
import aiohttp
import async_timeout
import click
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pyecharts import Bar as Line
from pyecharts import Overlap
from lucky.commands impor... | onecans/my | mystockservice/lucky/commands/min_max_counter.py | min_max_counter.py | py | 3,486 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "lucky.commands.util.fetch",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "lucky.commands.util",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": ... |
43078051498 | import time
from datadog import initialize
from datadog import api as dogapi
from datadog.dogstatsd.base import DogStatsd
from datadog.dogstatsd.context import TimedContextManagerDecorator
from flask import g, request
class TimerWrapper(TimedContextManagerDecorator):
def __init__(self, statsd, *args, **kwargs):
... | sky107/python-lab-project-sky | pyprojectbackend/lib/python3.9/site-packages/flask_datadog.py | flask_datadog.py | py | 13,019 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datadog.dogstatsd.context.TimedContextManagerDecorator",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datadog.dogstatsd.base.DogStatsd",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "flask.g.flask_datadog_start_time",
"line_number": 139... |
33626128629 | import jsonlines
import os
from pathlib import Path
from xml_handler import XmlHandler
from google_cloud_storage_client import GoogleCloudStorageClient
def main(event, context):
# Retrieve file from GCS
input_filename = event.get("name")
input_bucket_name = event.get("bucket")
output_bucket_name = os... | MeneerBunt/MarjolandHarvestData | src/convert_xml_to_json/main.py | main.py | py | 1,202 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "google_cloud_storage_client.GoogleCloudStorageClient",
"line_number": 15,
"usage_type": "call"
},
{
... |
21202048829 | from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.uix.gridlayout import GridLayout
from kivy.uix.scrollview import ScrollView
from app.main import ShowcaseScreen
from app.widgets.heartfelt_hellos_button import HeartfeltHellosButton
from app.widgets.heartfelt_hellos_step_progression_but... | JelindoGames/HeartfeltHellos | app/data/screen_types/deprecated/idea_creation_screen.py | idea_creation_screen.py | py | 4,316 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.main.ShowcaseScreen",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "kivy.uix.gridlayout.GridLayout",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "kivy.uix.scrollview.ScrollView",
"line_number": 24,
"usage_type": "call"
},
{
... |
16930544030 |
from __future__ import absolute_import
from .dataset_iter import default_collate, DatasetIter
from .samplers import RandomSampler, SequentialSampler
import torch
import os
import os.path
import warnings
import fnmatch
import math
import numpy as np
try:
import nibabel
except:
warnings.warn('Cant import nib... | huiyi1990/torchsample | torchsample/datasets.py | datasets.py | py | 12,057 | python | en | code | null | github-code | 6 | [
{
"api_name": "warnings.warn",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_numb... |
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