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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
670197752 | import cv2
import argparse
import numpy as np
import time
from datetime import datetime
import mysql.connector
import RPi.GPIO as GPIO
db_connection = mysql.connector.connect(
host="127.0.0.1",
user="root",
passwd="root",
database="do_an"
)
GPIO.setmode(GPIO.BCM)
# GPIO.setwarnings(False)
BUZZER= 23
# buzzS... | nguyenthinga-0206/Nhan-dien-dao-keo-bang-YoLo | Detection-object.py | Detection-object.py | py | 5,643 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 9,
"usage_type": "name"
},
{
"api... |
7291323317 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0011_auto_20150406_1529'),
]
operations = [
migrations.AlterField(
model_name='game',
name='... | joshsamara/game-website | core/migrations/0012_auto_20150406_1611.py | 0012_auto_20150406_1611.py | py | 1,003 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
20114523901 | import argparse
from functools import partial
import json
import os
import pickle
from model_trainer.xgboost.xgboost_trainer import XGBoostTrainer
from model_trainer.data.hold_out_data_box import HoldOutDataBox
from model_trainer.data.kfold_data_box import KFoldDataBox
from model_trainer.data import data_loader
from tu... | erudic/mt-tabnet-xgboost-model-comparison | xgboost_tuning.py | xgboost_tuning.py | py | 4,297 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "tuning_config.base_class_weights_large.copy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tuning_config.base_class_weights_large",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 27,
"usage_type": "call"
... |
10417808272 | import json
from apache_ranger.model.ranger_base import RangerBase
class RangerDataMaskDef:
def __init__(self, maskTypes=None, accessTypes=None, resources=None):
self.maskTypes = maskTypes if maskTypes is not None else []
self.accessTypes = accessTypes if accessTypes is not None else []
... | dprophet/ranger_trino | intg/src/main/python/apache_ranger/model/ranger_service_def.py | ranger_service_def.py | py | 6,197 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 57,
... |
73373244211 | import logging
from src.train_uni_self import MyDataset
from src.train_uni_self import compute_accuracy
from src.train_uni_self import GRUModel
from config import NUM_ATTENTION_HEADS, NUM_HIDDEN_LAYERS, HIDDEN_SIZE
from config import AUDIO_DIM, TEXT_DIM, GRU_DIM
from config import USE_TEXT, USE_AUDIO, unimodal_folder, ... | Soumya-dutta/MELD_emotion_recognition | src/test_uni_self.py | test_uni_self.py | py | 2,946 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.backends",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.get... |
16653768786 | import numpy as np
import cv2
import pafy
# live youtube video link
url = "https://www.youtube.com/watch?v=X_EWYemclKA"
vPafy = pafy.new(url)
play = vPafy.getbest(preftype="mp4")
cap = cv2.VideoCapture(play.url)
# Check if camera opened successfully
if (cap.isOpened() == False):
print("Error opening... | SukruAlkan/YoutubeLiveVideoStreaming | App.py | App.py | py | 1,015 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pafy.new",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_n... |
73278220531 | """module for windy api requests--can be used to get images, livestreams, and videos by location (coordinates), date, and category"""
import requests
import os
from functools import lru_cache
key = os.environ.get('WINDY_KEY')
header = {'x-windy-key': key}
"""caches category list"""
@lru_cache(maxsize=1)
def show_c... | qdaniel4/capstoneProject4 | windy_module/windy_api_manager.py | windy_api_manager.py | py | 2,153 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "functools.lru_cache",
"... |
40471112351 | # -*- coding: utf-8 -*-
from scrapy import Selector
from util import DateUtil
def parse(html, source_url=u''):
response = Selector(text=html)
content_html = response.xpath(u'//div[@class="texttit_m1"] | //div[@class="vp-article-cnt"]')
if not len(content_html):
return
# 去除内部不需要的标签
conte... | MaGuiSen/url_catch | parse/JinRongJieParse.py | JinRongJieParse.py | py | 3,352 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Selector",
"line_number": 8,
"usage_type": "call"
}
] |
34977997851 | # M. P. Hayes UCECE
from ipywidgets import interact
from matplotlib.pyplot import subplots
from numpy import zeros, arange
from .txreflect import txreflect
def txline_demo2_plot(Z0=60, ZD=40, ZL=1e6):
# Driver voltage.
Vs = 4.0
# Delay along transmission line (samples).
T = 100
# Duration of ex... | mph-/es-notebooks | intro/demos/txline_demo2.py | txline_demo2.py | py | 1,762 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "txreflect.txreflect",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplo... |
35915887875 | import streamlit as st
import cv2
import numpy as np
import tensorflow as tf
import time
import os
from patchify import patchify, unpatchify
import matplotlib.pyplot as plt
from PIL import Image
import keras
def main():
selected_box = st.sidebar.selectbox(
'Choose an option..',
(... | sharathsolomon/ImageDenoising | model.py | model.py | py | 3,443 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "streamlit.sidebar.selectbox",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL... |
7693666703 |
import torch
import inspect
import glob
from pathlib import Path
import re
import datetime
import math
import os
import json
from utils.label_process import xyxy2xywh
from utils.logger import print_log
# def mkdir(path):
# if not os.path.exists(path):
# os.makedirs(path)
def mkdir(path):
p = Path(pa... | yyynbone/Multidet | utils/mix_utils.py | mix_utils.py | py | 6,504 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "inspect.signature",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "inspect.Parameter",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
... |
70040135094 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 15 11:31:25 2020
WPI CS539 spring 2020
Team Assignment 1 problem 1.2
"""
import numpy as np
from sklearn.neighbors import KNeighborsClassifier as KNN
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import fetch_openml
from... | kforti/machine_learning_project_1 | problem_1_2/problem_1_2.py | problem_1_2.py | py | 2,442 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.fetch_openml",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 41,
"usage_type": "call"
},
{
"ap... |
12094549 | import boto3
#Enter your ACCESS_KEY and ACCESS_ID
aws_region = "ap-south-1"
access_id = "ACCESS_KEY"
access_key = "ACCESS_ID"
def PrepareItem(filedata, type):
try:
filedata = filedata.split('\n')
print(filedata)
filedata.remove('')
data = []
for ele in filedata:
... | abhikarkamkar/aws | Emr_s3_DynamoDb/aggregationsPoc.py | aggregationsPoc.py | py | 6,286 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.Session",
"line_number": 88,
"usage_type": "call"
}
] |
1913047691 | """
Takes given link and scrape relevant information from it.
Relevant information includes:
* Album name
* Artist name
* Album release date
* Metascore
* User score
* Link to individual album page
* Link to artist page
* Publisher name
* Link to publisher's Metacritic page
* Link to image of album cover
* Listed genre... | doronreiffman/web_scraper | metacritic_scraper.py | metacritic_scraper.py | py | 24,930 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.LOGFILE_DEBUG",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "config.LOGFILE_NAME",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name":... |
7688544943 | import numpy as np
import tkinter as tk
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib.backends.backend_agg import FigureCanvasAgg
from .host_frame import HostF
class FrameScalers(HostF):
def __init__(self, master, width, height, master_canvas, master_host_canvas, master_object):
... | AddMELAB/pydrm_GUI | pydrm/app/frame_scalers.py | frame_scalers.py | py | 5,433 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "host_frame.HostF",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "host_frame.HostF.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "host_frame.HostF",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tkinter.La... |
9375451926 | # Inspired by jsonrpc_websocket
import random
import asyncio
import aiohttp # websockets require python >= 3.6.1
class JsonRpc():
def __init__(self, url: str):
self._session = aiohttp.ClientSession()
self._client = None
self._url = url
self._pending_messages = {}
async def send... | dalcde/xopy | xo/jsonrpc.py | jsonrpc.py | py | 2,239 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "asyncio.get_running_loop",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "asyncio.... |
18380918261 | import os
import pytest
import requests
from wazuh_testing.tools.configuration import check_apply_test, get_api_conf
# Marks
pytestmark = pytest.mark.server
# Configurations
test_data_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data')
configurations_path = os.path.join(test_data_path, 'conf.... | wazuh/wazuh-qa | tests/integration/test_api/test_config/test_https/test_https.py | test_https.py | py | 2,755 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "pytest.mark",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line... |
4713262376 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 23 16:51:10 2016
@author: pawel.cwiek
"""
# ElementTree is the fastest and uses least memory for parsing xml (even better is cElementTree)
#import xml.etree.ElementTree as ET
#
#cabs_xml = ET.parse('cabs.xml')
#
#cabs = cabs_xml.findall('type')
#for item in cabs.iter('u... | simplynail/cfd_6sigma_rs | 6sigma_results.py | 6sigma_results.py | py | 11,640 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "xml.sax.saxutils.XMLGenerator",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "xml.sax.saxutils",
"line_number": 41,
"usage_type": "name"
},
{
"api_name... |
27485468049 | import csv
import instmatcher
import argparse
import pprint
import json
def classify(sample, url):
pp = pprint.PrettyPrinter(indent=4)
instmatcher.init(url)
result = sample + '_classified'
with open(sample, 'r') as s, open(result, 'w') as r:
reader = csv.reader(s)
writer = csv.writer(r)
fieldnames = nex... | qtux/instmatcher | docs/analyse.py | analyse.py | py | 4,328 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "instmatcher.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line... |
24823731878 | """Scripts & operations for maintaining my Zotero library using Pyzotero."""
import re
import argparse
from itertools import chain
from pyzotero import zotero
from boltons.iterutils import remap
import settings
# Regex patterns for words in a title that shouldn't be lowercased
# e.g. all-caps, CamelCase, etc.
CONSER... | akokai/zotscripts | zotscripts.py | zotscripts.py | py | 6,247 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "boltons.iterutils.remap",
"... |
29141125472 | import argparse
import cv2
import tensorflow as tf
import numpy as np
import scipy.misc
import scipy.signal
import pickle
import json
import os, glob
import math
import copy
from utils import *
import time
from scipy import interpolate
#notes
# -did I mix up x and y again? always worth checking
#debugging
import ... | guoqi1123/focaltrack | extra/focaltrack_nooptics.py | focaltrack_nooptics.py | py | 53,029 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "threading.Condition",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_DUPLEX",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name":... |
23998673907 | # render template is to render the html file imported from flask
from fileinput import filename
from random import seed
from flask import Flask, render_template, request, session, redirect
# import flask sql Alchemy
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
# import json file
imp... | ngarg2k2/python-flask-blog | main.py | main.py | py | 7,537 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "sympy.content",
... |
23458720968 | import logging
from elasticsearch import Elasticsearch
def connect_elasticsearch():
_es = None
_es = Elasticsearch([{'host': 'elasticsearch', 'port': 9200}])
if _es.ping():
print('Yay Connect')
else:
print('Awww it could not connect!')
return _es
if __name__ == '__main__':
lo... | nguyenthucquanghung/movies_crawler | test_es.py | test_es.py | py | 503 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 16,
"usage_type": "attribute"
}
] |
7553307970 | import os
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
from version import __version__
sources = [os.path.join('backend', f'pybind_cuda.cpp'), os.path.join('backend', f'spconv.cu'), os.path.join('backend', f'hash.cu')]
setup(
name='PCEngine',
version=__versi... | hkeee21/PCEngine | setup.py | setup.py | py | 618 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "version.__version__",
"li... |
4486551780 | import numpy as np
import torch
from torch.utils.data import DataLoader, SequentialSampler
from sklearn.metrics import f1_score, accuracy_score
from transformers import AutoModelForSequenceClassification
from tqdm import tqdm
from utils.Logger import logger
@torch.no_grad()
def evaluate(model: AutoModelForSequenceCla... | fezateam/ftc_feza_text_classification | utils/Evaluation.py | Evaluation.py | py | 3,268 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "transformers.AutoModelForSequenceClassification",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 28,
"usage_type": "call"
},
{
"ap... |
28516399966 | import datetime
import pytest
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
@pytest.fixture
def chrome_browser(request):
d = DesiredCapabilities.CHROME
opt = webdriver.ChromeOptions()
opt.add_experimental_option('w3c', False)
d['loggingPr... | SamVyazemsky/otus | PythonQA/Lesson12/test_performance_log.py | test_performance_log.py | py | 675 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities.CHROME",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "s... |
28684995716 | import re
import requests
from lxml.html import fromstring, tostring
def download(url, user_agent='wswp', num_retries=2, proxies=None):
print('Downloading: ', url)
headers = {'User-Agent': user_agent}
try:
resp = requests.get(url, headers=headers, proxies=proxies)
html = resp.text
i... | QTYResources/wswp | Chapter02/ScrapingArea04.py | ScrapingArea04.py | py | 1,108 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 24,
"usage_type": "call"
}
] |
1749673150 | import torch.nn as nn
class FeedForwardBlock(nn.Module):
def __init__(self, in_size, hidden_size, dropout_prob=0.1):
super().__init__()
self.lin1 = nn.Linear(in_size, hidden_size)
self.relu = nn.ReLU()
self.dropout = nn.Dropout(dropout_prob)
self.lin2 = nn.Linear(hidden_si... | xiaodanhu/parsing | src_4/model/layers/feedforward_block.py | feedforward_block.py | py | 481 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
19303741673 | from flask import Flask
from flask_restx import Api, Resource, reqparse
import json
import os
from modules.model import read_data, fitting, predicting
app = Flask(__name__)
api = Api(app)
params_to_fit = reqparse.RequestParser()
params_to_fit.add_argument('model_id',
help... | DSimonyan/MLops_HW1_public | app.py | app.py | py | 6,314 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_restx.Api",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_restx.reqparse.RequestParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_re... |
39364984177 | from anytree import Node, RenderTree
import uuid
class MyNode(Node):
def __init__(self, name, parent=None, start=None, end=None):
super().__init__(name, parent)
self.start = start
self.end = end
self.id = uuid.uuid4()
self.suffix_link = None # Adding suffix link
class Ukko... | StrikerG/Efficient-Algorithms-for-Text-Search-and-Retrieval | BasicAlgorithm/suffix_tree_ukkonen.py | suffix_tree_ukkonen.py | py | 7,380 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "anytree.Node",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "anytree.RenderTree",
"line_number": 80,
"usage_type": "call"
}
] |
19394402830 | # -*- coding:UTF-8 -*-
"""
爬虫父类
@author: hikaru
email: hikaru870806@hotmail.com
如有问题或建议请联系
"""
import codecs
import configparser
import os
import platform
import sys
import threading
import time
import traceback
from typing import Any, Callable, Optional, Union, Type, Self
from common import const, browser, file, log,... | yxw19870806/Py3Crawler | common/crawler.py | crawler.py | py | 46,801 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "platform.system",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "common.tool.remove_string_p... |
18958880985 | from app.models import db, Endorsement, environment, SCHEMA
from sqlalchemy.sql import text
def seed_endorsements():
all_endorsements = [
{'skill_id': 1, 'endorser_id': 3, 'endorsee_id': 1},
{'skill_id': 2, 'endorser_id': 3, 'endorsee_id': 1},
{'skill_id': 3, 'endorser_id': 3, 'endorsee_id'... | yhtay/EmployedIn-Capstone | app/seeds/endorsements.py | endorsements.py | py | 1,451 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app.models.Endorsement",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "app.models.db.session.add",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "app.models.db.session",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_n... |
42825214566 | from sqlalchemy import create_engine
from databases import Database
def run_sql_alchemy(sql: str):
engine = create_engine("sqlite:///movies.db")
res = engine.execute(sql)
return [dict(i) for i in res]
async def run_asql(sql: str):
dbase = Database("sqlite:///movies.db")
res = await dbase.fetch_a... | ipotemkin/coursework3 | app/utils.py | utils.py | py | 506 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "databases.Database",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "databases.Database",
"line_number": 18,
"usage_type": "call"
}
] |
2105366640 | """
Train roberta model with counterfactuals
"""
import os
import logging
import json
from typing import List, Tuple
import collections
import pandas as pd
import numpy as np
import torch
from transformers import (
AutoTokenizer,
AutoConfig,
AutoModelForQuestionAnswering,
TrainingArguments,
Traine... | UKPLab/CATfOOD | src/cf_generation/baseline_generation/cartography/run_train.py | run_train.py | py | 14,108 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "wandb.init",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "wandb.run",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "transformers.Trainer",
... |
19122284951 | import pygame
import time
import math
class duck():
def __init__(self,spriteSet):
self.x = 400
self.y = 400
self.dir = 0
self.moveSpeed =100
self.spriteSet =spriteSet
self.renderIndex = 0
def playerMove(self,deltaT):
keys=pygame.key.get_pressed()
if keys[pyg... | itsvivianmill/GU-Hackathon-2023 | src/playerObj.py | playerObj.py | py | 2,797 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.key.get_pressed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.key",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_UP",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_w",
... |
27792666045 | import sqlite3
import datetime
con = sqlite3.connect("../ProjectMgmt.db")
cur = con.cursor()
# cur.execute("""
# INSERT INTO Task_Card VALUES
# (?, ?, ?, ?, ?, ?, ?)
# """, (('54321', 'Card1', 'Card1 text', datetime.date.today(), datetime.date.today(), False, '77889')))
cur.execute("""
INSERT INTO us... | ZhiRongDev/ProjectMgmt | server/sql/test/add.py | add.py | py | 482 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
}
] |
42679338563 |
import scipy.io.wavfile
#import soundfile as sf
from pydub import AudioSegment
import numpy as np
import matplotlib.pyplot as plt
from numpy import fft as fft
import librosa.core as librosa
import librosa.display as librosa_display
# files
src ... | ldelecourt/music_recognition | v0/v0.py | v0.py | py | 3,625 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pydub.AudioSegment.from_mp3",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "scipy.io.wavfile.io.wavfile.read",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
1180625171 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
基于python docxtpl，word版报告自动化
"""
# ---------
# Change Logs:
#
# ---------
__author__ = 'Li Pidong'
__email__ = 'lipidong@126.com'
__version__ = '1.0.1'
__status__ = 'Production'
import os
import sys
if sys.version < '3': # 兼容2/3
reload(sys)
sys.setdefaultenc... | cangfengzhe/grandcamp | bootcamp/report/word_report.py | word_report.py | py | 8,721 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.version",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.setdefaultencoding",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 33,
"usage_type": "call"
},
{
... |
16709384628 | import sys
from time import *
import datetime as dt
from PyQt5.QtWidgets import QDialog, QMainWindow, QApplication, QPushButton, QLabel, QLineEdit
from PyQt5 import uic
from PyQt5.QtCore import QTimer, QTime
class Stopwatch(QDialog):
def __init__(self):
self.history = []
super().__init__()
... | Medvedeva-J/PROJECT_QT | project_stopwatch.py | project_stopwatch.py | py | 3,882 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.n... |
23549444081 | import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import gym
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')
def save_graph(env_name = 'BipedalWalker-v2', episode = 3, called = 'state', dimension = 24, fig_width = 4,
fig_height = 6,figsize = (20, 10)):
#... | stoneshadows/DRL-coverage | LunarLander-v2/alg/TD3/plot_values.py | plot_values.py | py | 7,586 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
31707054517 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# main page!
url(r'^$', 'harvardplanner.views.home'),
# url patterns for user authentication
url(r'^login$', 'ha... | johnsturm/hplanner | harvardplanner/urls.py | urls.py | py | 799 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dja... |
3982233272 | import argparse
from . import data
def main():
parser = argparse.ArgumentParser(
epilog="not for production usage!!!"
)
commands = parser.add_subparsers(title='command', dest='command', required=True)
init_parser = commands.add_parser('init')
init_parser.set_defaults(func... | saymurrmeow/pygit | app/cli.py | cli.py | py | 385 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
}
] |
25909932448 | # coding: utf8
"""
两边5像素间隔，图片中间10像素间隔
5 + 148 + 10 + 226 + 10 + 76 + 5 = 480 预留10像素buffer=490
最高的item29 + 间隔5 = 一个item的高度34
"""
from PIL import Image
from datetime import datetime
def combine_image(item_count):
new_img = Image.new("RGB", (490, item_count * 34))
x = 5
y = 5
for idx in range(1, item_count + 1):
i... | Morisummer135/trader_data_catcher | image_combine.py | image_combine.py | py | 849 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.new",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number":... |
4110403700 | import os
import utils
from PIL import Image
from xml.dom.minidom import parse
def makeAnnotationXML(file_name):
xml_file_path = utils.XML_PATH + utils.get_name_no_ext(file_name) + '.xml'
dom = parse(xml_file_path)
# 修复高宽
width = int(dom.getElementsByTagName('width')[0].childNodes[0].data)
height ... | f1amingo/Black-Smoke-Trucks-Detection | 代码 Code/ImgPreProcess/do_transpose.py | do_transpose.py | py | 1,946 | python | en | code | 22 | github-code | 21 | [
{
"api_name": "utils.XML_PATH",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "utils.get_name_no_ext",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.parse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.re... |
16842986162 | from django.conf.urls import url
from . import views
handler404 = 'views.invalid page'
urlpatterns = [
# ex: /library/
url(r'^$', views.index, name='index'),
# ex: /library/user/login/
url(r'^user/loginoption/$', views.userloginoption, name='userloginoption'),
# ex: /library/user/signup/
url(... | Arjun-Suresh/Online-book-mgmt | library/urls.py | urls.py | py | 5,404 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.... |
42712482134 | import twint
import os
import datetime
from collections import Counter
import re
import nltk
from nltk.tokenize import word_tokenize, sent_tokenize
from nltk.stem import WordNetLemmatizer
from nltk.corpus import stopwords
from .upload import upload
from utils.utils import calculate_time, save_date
from config import ke... | louixp/CoroNow | twitter/scrape.py | scrape.py | py | 2,791 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "ssl._create_unverified_context",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_default_https_context",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "nltk.download",
"line_number": 26,
"usage_type": "call"
},
... |
27315212652 | #from crypt import methods
from flask import Blueprint, render_template, redirect, request, current_app, session
from flask.helpers import url_for
import os
from flask_mail import Message
touristdestination = Blueprint("touristdestination", __name__, static_folder="static",
template_fold... | itsaseemsharma/Explorehimachal | Explorehimachal/modules/TouristsDestination/TouristDestinationController.py | TouristDestinationController.py | py | 11,871 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.session.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "User.UserServices.User... |
71103910772 | from sklearn.datasets import load_iris
import torch
import torch.nn as nn
iris = load_iris()
class Net(nn.Module):
def __init__(self):
super().__init__()
self.linear = nn.Linear(4, 3)
self.pool = nn.MaxPool1d(1)
def forward(self, x):
x = self.linear(x)
# x = -self.po... | grahamannett/tellem | examples/k_means.py | k_means.py | py | 552 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear... |
580273833 | import requests
import json
import os
# retrieve Twitter bearer token
# > export 'BEARER_TOKEN'='<your_bearer_token>'
token = os.environ.get("BEARER_TOKEN")
# Documentation:
# https://developer.twitter.com/en/docs/twitter-api/tweets/timelines/api-reference/get-users-id-mentions
def create_url():
"""
Creat... | lucascorumba/study-projects | tweet-inverted-index/get_tweets.py | get_tweets.py | py | 2,206 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "requests.request",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_... |
22926496575 | # encoding: utf-8
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Contact: Kyle Lahnakoski (kyle@lahnakoski.com)
#
from __future__ import absolute_import, divisio... | mozilla/jx-sqlite | vendor/mo_dots/objects.py | objects.py | py | 4,387 | python | en | code | 35 | github-code | 21 | [
{
"api_name": "mo_future.Mapping",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "mo_dots.utils.OBJ",
"line_number": 33,
"usage_type": "argument"
},
{
"api_name": "mo_dots.utils.OBJ",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "mo_dots... |
7441000472 | # -*- coding: utf-8 -*-
"""urls.py: Django """
from __future__ import unicode_literals
import logging
from django.conf.urls import url
from company_registration import views
__author__ = 'Steven Klass'
__date__ = '4/3/12 8:59 PM'
__copyright__ = 'Copyright 2012-2013 Pivotal Energy Solutions. All rights reserved.'
_... | pivotal-energy-solutions/django-company-registration | company_registration/urls.py | urls.py | py | 920 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "company_registration.views.Register.as_view",
"line_number": 19,
"usage_type": "call"
},
{
... |
24250783402 | # Sampler Module
# Obtains batches of samples from a specific environment for training
# (c) 2018 Carson Eisenach
import gym
import torch
import logging
import random
import copy
logger = logging.getLogger(__name__)
from utils import MultiRingBuffer
from running_stat import ZFilter
def _torch_from_float(val):
... | ceisenach/torchkit | sampler.py | sampler.py | py | 4,309 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.MultiRingBuffer",
... |
18998133375 | #!/usr/bin/env python3
from gi.repository import Gtk
from gi.repository import GObject
import argparse
class BreakWindow(Gtk.Window):
def __init__(self, period_timer):
Gtk.Window.__init__(self, title="Take a break")
self.period_timer = period_timer
self.rest = self.period_timer.break_tim... | violarium/mini_nap | mini_nap.py | mini_nap.py | py | 3,765 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gi.repository.Gtk.Window",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "gi.repository.Gtk.Window.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"a... |
9696705352 | # -*- coding: utf-8 -*-
"""
==================================
Specify Spatial Grids
==================================
Created on Mon Aug 22 14:42:26 2016
@author: xiaomuliu
"""
import numpy as np
from shapely.geometry import Point
def vectorized_grid(shpfile,cellsize,center=True):
cellsize_x,... | xiaomuliu/SpatioTemporalPredictiveModeling | Grid/SetupGrid.py | SetupGrid.py | py | 4,746 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.dstack",
"line_num... |
35375757397 | from datetime import datetime, timedelta
import json
import os, glob
import string
import create_sql
import csv
import sys
import pandas as pd
from featureExtration import featureExtration, featureExtration4, getAllSite2
import numpy as np
from nltk import word_tokenize, PorterStemmer
from nltk.corpus import stopwords... | abhaygill338/Semantic_Web_Mining_Project | CODE/PreProcess/open_file.py | open_file.py | py | 9,509 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.wo... |
3474885901 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
img = mpimg.imread('myface.jpg')
R, G, B = img[:,:,0], img[:,:,1], img[:,:,2]
imgGray = 0.2989 * R + 0.5870 * G + 0.1140 * B
#모서리 부분 좌표 찾기
ang = (np.pi/180)*54
a = np.array([[0,599,599,0],[0,0,799,799]])
h0 = np.array([[np.cos(ang),-1... | seonginnnnn/Digital_Image_processing | image_interpolation.py | image_interpolation.py | py | 2,541 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.image.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.pi",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
3027869865 | import os
import pathlib
from importlib.machinery import FileFinder
from pkgutil import ModuleInfo
from mock import patch
from prowler.lib.check.check import (
exclude_checks_to_run,
exclude_services_to_run,
get_checks_from_input_arn,
get_regions_from_audit_resources,
list_modules,
list_servic... | gopikrishna72/prowl | tests/lib/check/check_test.py | check_test.py | py | 16,776 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pkgutil.ModuleInfo",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "importlib.machinery.FileFinder",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pkgutil.ModuleInfo",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "... |
2920767340 | import requests
import config
def report_error_raw(order: dict, user_id: int):
try:
kwargs = {
"chat_id": user_id,
"text": "Произошла ошибка. Перешли это сообщение администатору бота, пожалуйста.\n\n"
+ order.get("error_type"),
}
r = requests.post(
... | chemradio/cta-gfx-helper | sender_engine/send_process/report_error.py | report_error.py | py | 1,223 | python | ru | code | 2 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "config.SEND_MESSAGE_TELEGRAM_API_ENDPOINT",
"line_number": 15,
"usage_type": "attribute"
}
] |
6504264290 | import sys
from bs4 import BeautifulSoup, Comment, NavigableString
import fire
from pathlib import Path
import pandas as pd
import numpy as np
import json
import re
from ast import literal_eval
from collections import OrderedDict
from dataclasses import dataclass
from typing import Set
from axcell.data.table import Ta... | paperswithcode/axcell | axcell/data/extract_tables.py | extract_tables.py | py | 12,182 | python | en | code | 365 | github-code | 21 | [
{
"api_name": "pandas.io",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pandas.io",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "ast.literal_eval",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line... |
16636595916 | import json
import requests
from bs4 import BeautifulSoup
import re
import time
from datetime import datetime, timedelta
from .. import db
from ..model.Usage import UsageModel
class Hospital():
name = None
channel_secret = None
channel_access_token = None
redis_channel = None
line_bot_api = None
... | img21326/LineBotWatchDoctor | app/_class/Hospital.py | Hospital.py | py | 12,431 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "model.Usage.UsageModel",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "json.l... |
38440269951 | from trytond.model import fields
from trytond.pool import PoolMeta
from trytond.transaction import Transaction
from trytond.config import config
from mimetypes import guess_type
from PIL import Image
import os
import hashlib
__all__ = ['User']
AVATAR_SIZE = 150
IMAGE_TYPES = ['image/jpeg', 'image/png', 'image/gif']
... | NaN-tic/trytond-user_avatar | user.py | user.py | py | 4,305 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "trytond.pool.PoolMeta",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "trytond.model.fields.Function",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "trytond.model.fields",
"line_number": 18,
"usage_type": "name"
},
{
"api_name... |
74016453494 | from flask import Flask
from flask import render_template
app = Flask(__name__)
import utils
from flask import jsonify
from jieba.analyse import extract_tags
@app.route('/')
def cov_index_page(): # put application's code here
return render_template("index.html")
@app.route('/time')
def get_time():
... | hellotycoon/m_coivdMap | Cov_Map/Project/main.py | main.py | py | 4,053 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.get_time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "utils.get_cov_trend_c... |
35247915140 | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at https://mozilla.org/MPL/2.0/.
"""setuptools install script"""
from pathlib import Path
from setuptools import find_packages
from setuptools import ... | nth10sd/bstrap | setup.py | setup.py | py | 4,196 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 98,
"usage_type": "call"
}
] |
70467862452 | import sys
from PyQt5.QtWidgets import QApplication, QMainWindow,QWidget,QGridLayout
class Calculadora(QMainWindow):
def __init__(self, parent=None):
super().__init__(parent)
self.setWindowTitle('Calculadora pica')
self.setFixedSize(400,400)
if __name__ == '__main__':
qt = QApplicatio... | atico0/python | novo_curso/interfacegrafica2.py | interfacegrafica2.py | py | 387 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
}
] |
16641265666 | from sklearn.linear_model import Perceptron
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score,confusion_matrix,classification_report
import pandas as pd
perceptron_train = pd.read_csv('../FeaturesCsvFile/featuresfile.csv')
perceptron_test = pd.read_csv('../FeaturesCsvFile/... | bkommineni/Activity-Recognition-Using-Sensordata | NeuronBinaryClassification/Classification/perceptronClassification.py | perceptronClassification.py | py | 973 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.Perceptron",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn... |
8297267733 | import os
from copy import deepcopy
from imports import *
from utils import *
from data import *
from args import *
from collections import OrderedDict
from itertools import combinations
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
import matplotlib.colors
def get_var_info(axes, names, ... | kpedro88/evn_svj_public | analyze.py | analyze.py | py | 12,939 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collect... |
29016912035 | import logging
# create and configure logger
logging.basicConfig(filename="C:\dev\practiceSelenium\log_files\log_file1.log",
format= ('%(asctime)s: %(levelname)s: %(message)s:')
)
# create logging object
logger = logging.getLogger()
# set the threshold of logger to debug
logg... | manny121brooklyn/practiceSelenium | selenium_logging.py | selenium_logging.py | py | 526 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.debug... |
30244692683 | from platypus import NSGAII, OMOPSO,Problem, Real
import numpy as np
def schaffer(x):
print("x")
print(x)
print("x[0]")
print(x[0])
return [x[0]**2, (x[0]-2)**2]
problem = Problem(1, 2)
problem.types[:] = Real(0, 1)
problem.function = schaffer
algorithm = NSGAII(problem)
algorithm.run(10)
for solu... | Project2017-18/Major-Project | Platypus-master/examples/custom_problem_1.py | custom_problem_1.py | py | 652 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "platypus.Problem",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "platypus.Real",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "platypus.NSGAII",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scat... |
73888366452 | from typing import List
from collections import Counter
class Solution:
def findPairs(self, nums: List[int], k: int) -> int:
count = Counter(nums)
if k == 0: return sum(1 for key in count if count[key] >1)
if k > 0: return sum(1 for key in count if key-k in count)
return 0
... | xiaofanc/leetcode | 0532-k-diff-pairs-in-an-array.py | 0532-k-diff-pairs-in-an-array.py | py | 729 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"... |
42692145735 | import sys, pygame
pygame.init()
LARG = 300
speed = [3, 1]
CIANO = (0, 255, 255)
BLACK = (0, 0, 0)
screen = pygame.display.set_mode((LARG,LARG))
clock = pygame.time.Clock()
FPS = 60
ball = pygame.Surface((30,30)).convert()
ball.fill(CIANO)
ballrect = ball.get_rect()
while 1:
for event in pygame.event.get():
... | gabriellaec/desoft-analise-exercicios | backup/user_049/ch96_2019_11_27_18_49_26_560261.py | ch96_2019_11_27_18_49_26_560261.py | py | 702 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cloc... |
71706221814 | #!/usr/bin/env python3
import sys
from pathlib import Path
import geomlib
import csv
energies = list(csv.DictReader(sys.stdin, quotechar="'"))
prefix = Path(sys.argv[1])
paths = map(Path, sys.argv[2:])
geoms = []
for path in paths:
geom = geomlib.readfile(path)
label = path.stem.split('_')[1]
_, label, s... | jhrmnn/vdwsets | utils/s66x8/process.py | process.py | py | 1,553 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.DictReader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number":... |
21885028015 | from django.urls import path
from . import views
# urlpatterns map the url to a view
# nfl/
urlpatterns = [
path('', views.index, name="nfl_index"),
path('teams', views.teams, name="nfl_teams"),
path('standings', views.standings, name="nfl_standings"),
path('schedule', views.schedule, name="nfl_schedul... | hojohn2561/sports_hub | nfl/urls.py | urls.py | py | 388 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
13894229600 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from django.conf.urls import url, include
from . import views
from django.contrib.auth import views as auth_views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^search', views.search, name='search'),
url(r'^new', views.new, name='new'),
url(r... | karadaharu/betterresearch | reviewshare/urls.py | urls.py | py | 546 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.... |
6290269493 | from setuptools import setup
package_name = 'map_to_pic'
setup(
name=package_name,
version='0.0.0',
packages=[package_name],
data_files=[
('share/ament_index/resource_index/packages',
['resource/' + package_name]),
('share/' + package_name, ['package.xml']),
],
inst... | Fricodelco/map_to_pic | setup.py | setup.py | py | 845 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
}
] |
10450596592 | # 2583 영역 구하기
import sys
from collections import deque
height , width , divide = map(int,sys.stdin.readline().split())
graph = [[0]*width for _ in range(height)]
visited = [[False]*width for _ in range(height)]
dirs = [(-1,0),(1,0),(0,-1),(0,1)]
for _ in range(divide):
# 직사각형의 왼쪽 아래 꼭짓점의 x, y좌표값과 오른쪽 위 꼭짓점의 x,... | inkyu0103/BOJ | DFS , BFS/2583.py | 2583.py | py | 1,827 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin.readline",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"l... |
6009239813 | # Hyperparameter selection
# - learning rate (0.001, 0.0005)
# - batch size (64, 128)
# - gamma (0.95, 0.99)
# - replace target weight (10, 20)
from tqdm import tqdm
from D3QNAgent import Agent
from kaggle_environments import evaluate, make, utils
import numpy as np
from IPython.display import clear_output
import matp... | LiquidMethane/D3QN-Connect4 | hyperparameter-gridsearch.py | hyperparameter-gridsearch.py | py | 4,471 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_... |
73043143092 | import logging
import random
import re
from lib import config
from lib import irc
class _Question:
"""Encapsulate a question and its answers."""
def __init__(self, question, answers, correct_answer_idx):
self.question = question
self.answers = tuple(answers)
self.correct_answer_idx = c... | d1zzy/gogbot | plugins/trivia.py | trivia.py | py | 6,906 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "random.shuffle",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "lib.irc.HandlerBase",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "lib.irc",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "re.compile",
"lin... |
32137150726 | from django.test import TestCase, Client
from django.urls import reverse
from main.models import Comment,Product,Person,Seller,Customer,mail_verification
from django.contrib.auth.models import User,auth
import json
from django.contrib.auth.models import User,auth
class TestMainViews (TestCase):
def setUp(self):
... | AntwanEmil/ta3refa | main/test/test_views.py | test_views.py | py | 3,296 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 11,
"usage_type": "call"
},... |
6844998697 | # This file runs the game using the pygamegame.py framework file
import pygame
import random
from pygame import mixer
from pygamegame import PygameGame
from GameObject import GameObject
from Button import Button
from Player import Player
from Wall import Wall
from Floor import Floor
from Obstacle import Obstacle
from O... | AJ228/Term-Project-15112 | Game.py | Game.py | py | 14,850 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygamegame.PygameGame",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "Player.Player.init",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Player.Player",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pygame.sprite.... |
330289441 | import collections
t=int(input())
def bfs(x, y):
q = collections.deque()
q.append([x, y])
visited=[False] * n
while q:
x, y = q.popleft()
if abs(x - target_x) + abs(y - target_y) <= 1000:
return True
for i in range(n):
if not visited[i]:
... | Lee-DaeSeong/algorithm_notes | BOJ_9205.py | BOJ_9205.py | py | 765 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
35305513421 | import argparse
from type.StatsNameEnum import StatsName
from utils.io import load_tracking_gt, plot_hist
from utils.stats_tool import (
compute_stat_by_name
)
def main():
parser = argparse.ArgumentParser(
description='Data statistics for object tracking')
parser.add_argument('--data_dir', type=s... | zigonk/object-tracking-dataset-statistics-toolbox | main.py | main.py | py | 1,853 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.io.load_tracking_gt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "type.StatsNameEnum.StatsName.NUM_OBJ_PER_VIDEO",
"line_number": 26,
"usage_type": "attr... |
31635551710 | from __future__ import absolute_import, division, print_function
__metaclass__ = type
import sys
import pytest
from ansible_collections.sensu.sensu_go.plugins.module_utils import (
errors, utils,
)
from ansible_collections.sensu.sensu_go.plugins.modules import secrets_provider_info
from .common.utils import (
... | sensu/sensu-go-ansible | tests/unit/plugins/modules/test_secrets_provider_info.py | test_secrets_provider_info.py | py | 2,152 | python | en | code | 34 | github-code | 21 | [
{
"api_name": "pytest.mark.skipif",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "common.util... |
73575823094 | from attendance.models import HubstaffUser, WorkFromHome, UserAttendanceLog, UserAttendanceLogSummary
from user.models import CustomUser
from hubstaff.client_v1 import HubstaffClient
import os
from django.core.management.base import BaseCommand
from datetime import date as datet, datetime , timedelta, time
class Comm... | yogeshdmca/flickerp | geitpl_erp/apps/attendance/management/commands/sync_attendence_hubstaff.py | sync_attendence_hubstaff.py | py | 3,234 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "hubstaff.client_v1",
"line_number": 28,
"usage_type": "name"
},
{
"api_nam... |
70177092852 | from distributed import apply_gradient_allreduce
import time
import IPython.display as ipd
from numpy import finfo
import sys
sys.path.append('waveglow/')
import numpy as np
import torch
from hparams import create_hparams
from model import Tacotron2
from layers import TacotronSTFT, STFT
from audio_processing import ... | Thien223/TTS_webservice | source/synthesis.py | synthesis.py | py | 3,466 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "hparams.create_hparams",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "model.Tacotron2",
... |
71925782772 | """Handles TAPIS functionaloty related to jobs."""
from datetime import datetime
import json
from core.TapisController import TapisController
from tapipy.errors import InvalidInputError
class Jobs(TapisController):
"""Contains all of the CRUD functions associated with jobs."""
def __init__(self):
Ta... | nathandf/tapis-cli | src/controllers/Jobs.py | Jobs.py | py | 4,053 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "core.TapisController.TapisController",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "core.TapisController.TapisController.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "core.TapisController.TapisController",
"line_number": 13,
... |
23697991260 | import numpy as np
import matplotlib.pyplot as plt
n_samples = 1000
n_test_sample = 10
X = np.random.normal(loc=[2, -1], scale=1,
size=(n_samples, 2))
test_X = np.random.normal(0, 1, (n_test_sample, 2))
print(X)
print(X[:, 0]) # 첫번째 column
print(X[:, 1]) # 두번째 column
print(X[0, :], X[0]) # 첫번째... | yeongun130/Python | knn.py | knn.py | py | 654 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.normal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
39349834098 | from collections import OrderedDict
a = dict()
a['one'] = 1
a['two'] = 2
a['three'] = 3
a['four'] = 4
print(a)
print(a)
b = OrderedDict()
b['one'] = 1
b['two'] = 2
b['three'] = 3
b['four'] = 4
print(b)
print(b) | salokesh99/practice | hackerrank/ordered_dicts.py | ordered_dicts.py | py | 212 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 11,
"usage_type": "call"
}
] |
1871909614 | import os
import sys
import cv2
import numpy as np
skip_rate = 100
movie_path = 'movie.mp4'
def calc_avg_color(img):
avg_color = [0, 0, 0]
for i in img:
for pixel in i:
avg_color[0] += pixel[0]
avg_color[1] += pixel[1]
avg_color[2] += pixel[2]
avg_color[0] = ro... | dravolin/ColorOfMovies | colorofmovies.py | colorofmovies.py | py | 1,523 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
71099262452 | """product extended
Revision ID: 154eefea79a6
Revises: 0a3e9554c008
Create Date: 2020-03-31 10:52:37.489195
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '154eefea79a6'
down_revision = '0a3e9554c008'
branch_labels = None
depends_on = None
def upgrade():
... | vrcompugo/EV-Manager-Data-API | migrations/versions/154eefea79a6_product_extended.py | 154eefea79a6_product_extended.py | py | 827 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Text",
... |
30431443244 | #importing the required modules
import json
#this one for wordlist
import itertools
#storing the words in he dictionary in data
data = json.load(open("dictionary.json"))
#main function
def main():
ex = input("Enter the letters without spaces in any oder: \t")
letters = ex.lower()
possible_combinations = [] ... | sanjai21/word-connector | main.py | main.py | py | 1,426 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 19,
"usage_type": "call"
}
] |
30702748488 | #
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | Tencent/TPAT | examples/example_tensorflow.py | example_tensorflow.py | py | 8,447 | python | en | code | 354 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number"... |
35096190980 | # coding=utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import json
import tensorflow as tf
from tensorflow import metrics
from tensorflow.python.ops import math_ops
from bert import modeling
from bert.run_squad import create_model
from b... | dzorlu/natural_questions | run_nq.py | run_nq.py | py | 14,143 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "tensorflow.flags",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "jsonlines.open",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging.info",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "tensorfl... |
34192143767 | import logging
from threading import Thread
from cflib.utils.callbacks import Caller
import time
__author__ = 'Bitcraze AB'
__all__ = ['PeriodicTimer']
logger = logging.getLogger(__name__)
class PeriodicTimer:
"""Create a periodic timer that will periodically call a callback"""
def __init__(self, period, c... | bitcraze/crazyflie-clients-python | src/cfclient/utils/periodictimer.py | periodictimer.py | py | 1,384 | python | en | code | 287 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cflib.utils.callbacks.Caller",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "time.s... |
23598291617 | from PIL import Image, ImageFilter, ImageEnhance
from clientapp import static
i = 1 # 초록색 부분 제거단위 ( i by j 만큼 ( = 브러쉬 크기 ) )
j = 1
# 2
"""
foreground_path = 'foreground.png' #인물사진 ( with 크로마키 )
background_path = 'background.png' #배경사진
foreground = Image.open(foreground_path).convert('RGBA')
background = Image.o... | jsrodela/life4cuts | utils/chroma.py | chroma.py | py | 2,284 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PIL.Image",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number"... |
3712386001 | import sys
import os
import re
import curses
from atig.migration import Migration, MigrationCollection
class Atig():
def __init__(self):
self.valid_migration = re.compile(r'[0-9a-f]{12}\_.*\.py')
self.migrations = None
self.migration_collection = None
self.debug_message = 'Welcome ... | djentleman/atig | atig/main.py | main.py | py | 7,648 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "atig.migration.Migration",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "atig.migration.Migrati... |
42627217292 | from rest_framework import status
from rest_framework.views import APIView
from rest_framework.response import Response
from .serializers import BillSerializer, UploadSerializer
from .models import Client, Organization, Bill
from .utils.functions import excel_to_database
class UploadFilesView(APIView):
def post... | kropochev/excel-to-db-api | app/core/views.py | views.py | py | 2,398 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "serializers.UploadSerializer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.functions.excel_to_database",
"line_number": 18,
"usage_type": "call"
}... |
19196757774 | from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://testautomationpractice.blogspot.com/")
var1 = driver.find_element_by_tag_name("h1") # Header
print(var1.text)
#result is "Automation Testing Practice"
| sandeepbhutkar/SeleniumPython-and-RobotFramework-Multiple-Projects | SeleniumWithPython_2/6TagName.py | 6TagName.py | py | 236 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 3,
"usage_type": "name"
}
] |
12508809746 | import pygame
WHITE = pygame.Color("white")
class Ui():
def __init__(self, path_mng):
self.font_mng = self.FontManager()
self.font = "/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf"
self.font_size = 22
self.clock = pygame.time.Clock()
self.dt = 0
self.elapsed_... | FlorianHuveteau/coding_game | training/mars_lander/pygame_test/ui.py | ui.py | py | 2,657 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.Color",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.Color",
"li... |
14271981009 | #!/usr/bin/python
# coding=utf8
import gi
gi.require_version("Gtk", "3.0")
gi.require_version("Gdk", "3.0")
from gi.repository import GObject, Gio, Gdk, Gtk
import gtkapp_portion
class MyApplication(Gtk.Application):
# Main initialization routine
def __init__(self, application_id, flags):
Gtk.Applica... | wickylee/PygtkTest | gtkapp.py | gtkapp.py | py | 1,518 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gi.require_version",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.Application",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name":... |
11077627444 | import os
import numpy as np
from extract_feats import extract_model_fea
from sklearn.linear_model import LogisticRegression
from sklearn.multioutput import MultiOutputClassifier
from sklearn import metrics
from compute_metric import compute_auc, compute_ap
def train_cls_model_multiclass(support_set, data_dir, model,... | wllfore/MedFMC_fewshot_baseline | baseline/baseline_func.py | baseline_func.py | py | 5,082 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "extract_feats.extract_model_fea... |
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