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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
27242958157 | # Functional test for uart module
import cocotb
from cocotb.clock import Clock
from cocotb.triggers import Timer,RisingEdge,FallingEdge,ClockCycles,ReadWrite
from cocotb.result import TestFailure
import random
from cocotb_coverage.coverage import CoverPoint,coverage_db
covered_valued = []
g_sys_clk = int(cocotb.top.g... | npatsiatzis/uart | uart_16450/testbench.py | testbench.py | py | 2,431 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "cocotb.top",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cocotb.top",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cocotb.triggers.RisingEdge",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cocotb_cov... |
20603379019 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import time
driver = webdriver.Chrome(service=Service(ChromeDriverManager().install()))
try:
driver.get(url='https://www.youtub... | Quastrado/selenium | walk.py | walk.py | py | 1,194 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 8,
"usage_type": "call"
},
{
... |
75019495268 | import rospy
import rospkg
import os
import sys
import traceback
import json
from stable_baselines3 import PPO
from stable_baselines3.common.utils import get_device
from rosnav.srv import GetAction, GetActionResponse
from rosnav.rosnav_space_manager.rosnav_space_manager import RosnavSpaceManager
from rosnav import *... | jsntjyz/graduation_code | PPO/src/planners/ppo/scripts/rosnav_node.py | rosnav_node.py | py | 2,897 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.modules",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rospy.get_param",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
... |
26106118249 | import dataset
if __name__ == "__main__":
print("DataSet version: ", dataset.__version__)
db = dataset.connect('sqlite:///:memory:') # use 'sqlite:///sensors.db' to persist ...
sensor_table = db['sensors']
sensor_table.insert(dict(name='SHT711', type="spi", bus_no=3, cs_num=6, alias="RHT-1A"))
... | mortela4/dataset_ex | dataset_ex1.py | dataset_ex1.py | py | 830 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "dataset.__version__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "dataset.connect",
"line_number": 6,
"usage_type": "call"
}
] |
19448760983 | from selenium import webdriver
import platform
class BrowserInt():
def test(self):
baseUrl = "https://learn.letskodeit.com/p/practice"
os_platform = platform.system()
if os_platform == 'Linux':
driver_path = webdriver.Firefox(executable_path='./geckodriver')
elif os_pla... | JamesonWelch/projects | selenium_prac/broswer_tests.py | broswer_tests.py | py | 1,273 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "platform.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selenium... |
36181698948 | from collections import namedtuple
import torch
from torch import nn
import lpips
import torch.nn.functional as F
def make_image_processor(config):
type = config.get("type", "RGB").lower()
if type == "rgb":
ip = RGBProcessor()
elif type == "perceptual":
ip = PerceptualProcessor(config.get... | Brummi/BehindTheScenes | models/bts/model/image_processor.py | image_processor.py | py | 3,230 | python | en | code | 207 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
42713527355 | import pytest
_ = pytest.importorskip("duckdb.experimental.spark")
from duckdb.experimental.spark.sql.types import (
LongType,
StructType,
BooleanType,
StructField,
StringType,
IntegerType,
LongType,
Row,
ArrayType,
MapType,
)
from duckdb.experimental.spark.sql.functions import... | duckdb/duckdb | tools/pythonpkg/tests/fast/spark/test_spark_filter.py | test_spark_filter.py | py | 5,568 | python | en | code | 13,067 | github-code | 71 | [
{
"api_name": "pytest.importorskip",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "duckdb.experimental.spark.sql.types.StructType",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "duckdb.experimental.spark.sql.types.StructField",
"line_number": 35,
"u... |
41162543387 | # got from https://gist.github.com/enigmaticape/4254054
#!/usr/bin/env python
import sys
import collections
# Bag em
# cipher_file = open( sys.argv[ 1 ], 'rb')
def get_IC(c_text):
cipher_text = c_text
# remove all non alpha and whitespace and force uppercase
# SOTHATCIPHERTEXTLOOKSLIKETHIS
cipher... | Vinecnt/VigenereCipher | ic.py | ic.py | py | 899 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "collections.Counter",
"line_number": 23,
"usage_type": "call"
}
] |
35747264041 | from flask import Flask, render_template, request
from os import listdir
from os.path import isfile, join
app = Flask(__name__)
@app.route('/')
def index():
deck_themes = get_img_dirs()
return render_template('index.html', deck_themes=deck_themes)
def get_files(deck_theme):
my_path = f'static/images/{d... | miralodi/Quicon | server.py | server.py | py | 1,857 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_... |
20755794512 | import sys
import time
import string
import random
import requests
import html.parser
from bs4 import BeautifulSoup
class IndeedSalaryFinder(object):
'''
Scrapes Indeed to find the Salary associated with the job in question.
'''
def __init__(self, query):
'''
query - a query to find th... | NeverForged/IndeedSalaryFinder | Source/salary_grid_search.py | salary_grid_search.py | py | 2,757 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_... |
27107147947 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""MergeResults.py:
Gather all the information from the json files obtained in the tests and create a table in a csv file
"""
__author__ = "Jorge de la Peña García"
__version__ = "1.0"
__maintainer__ = "Jorge"
__email__ = "jpena@ucam.edu"
__status__ = "Production"
impo... | bio-hpc/sibila | Common/Analysis/MergeResults.py | MergeResults.py | py | 2,994 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "os.path.splitext",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_... |
1283239406 | import math
import time
import _pyinstaller_hooks_contrib
import pygame
import os
import sys
import json
pygame.font.init()
pygame.mixer.init()
def getResourcePath(relative_path):
try:
# PyInstaller creates a temp folder and stores path in _MEIPASS
base_path = sys._MEIPASS
base_path = os.p... | DEVENILLA/basic-mario-2 | main.py | main.py | py | 25,699 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pygame.font.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"... |
35776789391 | """Redact it yaml module.
This module contains the core logic to redact data from yaml files.
"""
import glob
from typing import Any
from redact_it.redact_it import RedactIt
class RedactItYaml(RedactIt):
"""Redact it yaml class."""
def __init__(self, config_file: str, file_path: str, dry_run: bool) -> None... | ryankwilliams/redact-it | redact_it/redact_yaml.py | redact_yaml.py | py | 2,185 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "redact_it.redact_it.RedactIt",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.Any",
"line_number": 35,
"usage_type": "name"
}
] |
39250308376 | import spacy
from spacy.matcher import Matcher
from spacy.lang.en import English
from lib.custom_nlp.patterns import cse_pattern, tsx_pattern, stock_phrases
import re
from spacytextblob.spacytextblob import SpacyTextBlob
try:
from lib.custom_nlp.curr_tickers import stocks as stock_names
except ImportError as e:
... | dli-invest/ytube_nlp | lib/custom_nlp/text_processing.py | text_processing.py | py | 4,346 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "lib.custom_nlp.curr_tickers.stocks",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "spacy.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "spacy.matcher.Matcher",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "l... |
35033693032 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.exceptions import DropItem
from scrapy import Request
from scrapy.pipelines.images import ImagesPipeline
class B(Im... | guancgsuccess/python_spider | unit47 - scrapy/myspiders/myspiders/a.py | a.py | py | 2,165 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "scrapy.pipelines.images.ImagesPipeline",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scrapy.Request",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scrapy.exceptions.DropItem",
"line_number": 56,
"usage_type": "call"
}
] |
86284862166 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from astropy import units
import numpy as np
import pytest
from sofia_redux.scan.filters.filter import Filter
from sofia_redux.scan.filters.kill_filter import KillFilter
class NoFilter(Filter): # pragma: no cover
def __init__(self, integration=No... | SOFIA-USRA/sofia_redux | sofia_redux/scan/filters/tests/test_filter.py | test_filter.py | py | 16,812 | python | en | code | 9 | github-code | 71 | [
{
"api_name": "sofia_redux.scan.filters.filter.Filter",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.ones_like",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "num... |
16670674334 | from sklearn.model_selection import train_test_split
from sklearn.datasets import load_iris
import numpy as np
iris = load_iris()
atributos = iris.data
classes = iris.target
atributos_do_conjunto = atributos[classes != 0]
classes_conjunto = classes[classes != 0]
classes_conjunto = np.where(classes_conjunto == 1, ... | thiagovb46/PerceptronGenetico | perceptron_genetico.py | perceptron_genetico.py | py | 4,201 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.rand... |
34392050108 | import serial
import RPi.GPIO as GPIO
import os, time
textnumber = '8327978415'
textmessage = 'Please return to your car immediately!'
GPIO.setmode(GPIO.BOARD)
GSMpower = 11
GPIO.setup(GSMpower,GPIO.OUT)
GPIO.output(GSMpower,1) #Turn on GSM
# Enable Serial Communication
print("Begin SMS procedure")
port = ... | TLeigh315/ForgetMeNot | 404/GSM/GSMfunc.py | GSMfunc.py | py | 1,461 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"line... |
20670378851 | import os, sys
import codecs, re
from nltk import sent_tokenize
# import pandas as pd
from collections import Counter
from base64 import b64decode, b64encode
# from flask import Flask, Blueprint, render_template, request, redirect, jsonify
from logging import getLogger
import requests
from flask_mysqldb import MySQL
im... | hseling/hseling-repo-cat-and-kittens | hseling-web-cat-and-kittens/hseling_web_cat_and_kittens/main.py | main.py | py | 23,079 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.environ.get",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
19784093844 | #딥지안봄
import sys
from collections import deque
N=int(sys.stdin.readline()) #보드의 크기
board=[[0]*(N+2) for _ in range(N+2)]
#보드 가장자리 벽처리(2)
board[0]=[2]*(N+2)
board[N+1]=[2]*(N+2)
for i in range(N+2):
board[i][0]=2
board[i][N+1]=2
K=int(sys.stdin.readline()) #사과의 개수
for _ in range(K):
x,y=map(int,sys.stdin... | yeoneed/Algorithm_study | 이코테/구현/Part3_5_뱀/Jieon.py | Jieon.py | py | 1,574 | python | ko | code | 0 | github-code | 70 | [
{
"api_name": "sys.stdin.readline",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"l... |
74947716390 | import numpy as np
import os
import re
from keras.preprocessing import sequence
def token(sentence, remove_vowels=False, remove_repeat=False, minchars=2):
tokens = []
# for t in re.findall("[A-Z]{2,}(?![a-z])|[A-Z][a-z]+(?=[A-Z])|[\w]+",sentence.lower()):
for t in re.findall("[a-zA-Z]+",sentence.lower())... | krishhrana/Sentiment_analysis | twitter_sentiment.py | twitter_sentiment.py | py | 3,982 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "re.findall",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.sequence.pad_sequ... |
7556903142 | from flask import Flask, escape, request
from flask_cors import CORS
import json
from parsers.parse_reports import parse_report
from .measures.jira import jira_issues
app = Flask(__name__)
CORS(app)
projects = [
{'key': 'charli-app-mobile'},
{'key': 'charli-app-service'}
]
@app.route('/')
def hello():
na... | sophia-sherman/hackathon-2019 | server/api/api.py | api.py | py | 3,108 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.args",... |
9638677997 | #!/usr/bin/env python3
# daemon.py
"""
originally from the Python Cookbook (version 3)
11.8. Implementing Remote Procedure Calls
12.2. Determining If a Thread Has Started
12.14. Launching a Daemon Process on Unix
(perhaps more)
"""
import os
import sys
import atexit
import signal
import json
from datetime ... | buffalotheory/critter_list | pyplayer/pyplayerd.py | pyplayerd.py | py | 7,138 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pyplayer.MPla... |
2363363364 | import numpy as np
import pandas as pd
import os
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import math
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.vgg16 import VGG16
from tensorflow.keras.applications.vgg16 import preprocess_input as preprocess_i... | gupta-pulkit/video-captioning | preprocess_videos.py | preprocess_videos.py | py | 8,288 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_numb... |
40307464924 | import torch
import heat as ht
class Laplacian:
def __init__(
self,
similarity,
weighted=True,
definition="norm_sym",
mode="fully_connected",
threshold_key="upper",
threshold_value=1.0,
neighbours=10,
):
"""
Graph Laplacians from ... | coquelin77/icml-repo | heat/graph/laplacian.py | laplacian.py | py | 3,946 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "heat.sum",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "torch.where",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "heat.sqrt",
"line_number": 76,
... |
10742845136 | from netCDF4 import Dataset
import numpy as np
def read_netcdf(filename):
with Dataset(filename) as nc:
# Grab lat, long
lats = nc.variables['latitude'][:]
lons = nc.variables['longitude'][:]
# Grab speed + direction
sar_wind = nc.variables['sar_wind'][:]
input_d... | gonzodeveloper/UHABS | utils/file_io.py | file_io.py | py | 571 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.dstack",
"line_number": ... |
73698849506 | """XML tools for reading the RADS's configuration files."""
import os
import re
from itertools import chain, dropwhile, takewhile, tee
from typing import Any, Callable, Optional, Sequence, cast
from ..typing import PathLike, PathLikeOrFile
from ..utility import ensure_open, filestring, isio
try:
from ..xml impor... | ccarocean/pyrads | rads/xml/utility.py | utility.py | py | 8,715 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "typing.PathLikeOrFile",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "utility.isio",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.fspath",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "typing.cast",
"line_... |
31536267994 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 8 12:44:21 2018
@author: moreaua2
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import solve_ivp
def DampedOscillator(t, y, params):
x, v = y
b, omega_0 = params
dxdt = v
dvdt = -b*v-(omega_0**2)*x
dyd... | Bedshaped/Runge-Kutta-Method | rk_dho.py | rk_dho.py | py | 1,345 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "scipy.integrate.solve_ivp",
... |
36804293970 | import json
import urllib.parse
import urllib.request
import schedule
import sys
import configparser
import emoji
# loading config
status = ""
config = configparser.ConfigParser()
config.sections()
config.read('config.ini')
status_dump = config['python']['status_dump']
json_dump = config['python']['json_dump']
headp... | Venomen/headphones-on | headphones-on.py | headphones-on.py | py | 2,570 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.urlencode",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "url... |
19028841302 | from datetime import datetime
from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, PermissionsMixin
from django.contrib.auth.validators import UnicodeUsernameValidator
from django.core.mail import send_mail
from django.utils import timezone
from django.utils.trans... | dorayakin/summer-vacation | summervacation/diaryapp/models.py | models.py | py | 5,146 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "django.contrib.auth.models.BaseUserManager",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.AbstractBaseUser",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.PermissionsMixin",
"line_nu... |
17060253497 | import os, tqdm, random, pickle
import torch
import torchvision
from torch.autograd import Variable
from torchvision.transforms import CenterCrop, ToTensor, Compose, Lambda, Resize
from torchvision.datasets import coco
from torch.nn.functional import binary_cross_entropy, relu, nll_loss
from torch.nn import Embedding... | pbloem/bimodal | train.py | train.py | py | 12,089 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "enum.Enum",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "tensorboardX.SummaryWriter",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "t... |
40126422449 | """Subtask 1 SemEval Calllange
Autors: Rosina Baumann & Sabrina ..."""
import sys
import os
import loaddata
import pandas as pd
from tqdm import tqdm
import os
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.pipeline import Pipeline
from sklearn import svm
from sklearn.metrics import classific... | cicl-iscl/FramingDetection | Subtask1/main.py | main.py | py | 5,282 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "tqdm.tqdm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_num... |
33034439351 | # -*- codeing: utf-8 -*-
'''
Create on 2020/2/11
@author: shengzhixu
@email:sz.xu@hotmial.com
'''
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
from mpl_toolkits.axe... | xushengzhi/pmcw | PyMat/aircraft_fmcw.py | aircraft_fmcw.py | py | 3,762 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "DataReform.data_reform",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.fft.fftshift",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "numpy.fft.fft2",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "scipy.consta... |
36865763313 | import math
import sys
import rules
def getValues():
n = int(input("Please enter how many slices you want to take (N): "))
a = float(input("Please enter the lower integration bound (a): "))
b = float(input("Please enter the upper integration bound (a): "))
# pls don't hack me
string = input("Please enter a math... | NeonWizard/MATH1220-Approximate-Integration | main.py | main.py | py | 1,831 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "rules.left_endpoint",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "rules.right_endpoint",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "rules.midpoint",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "rules.trapezo... |
29194897368 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by jacob.mendt@pikobytes.de on 09.09.21
#
# This file is subject to the terms and conditions defined in file
# 'LICENSE', which is part of this source code package
import json
from datetime import datetime
from georeference.models.raw_maps import RawMap
from geor... | slub/kartenforum_georeference | georeference/views/map_view_test.py | map_view_test.py | py | 3,703 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "georeference.models.map_view.MapView",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_... |
23460810054 | from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy
from send_mail import send_mail
app = Flask(__name__)
ENV = 'dev'
if ENV == 'dev':
app.debug = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://postgres:Dutyfirst!@localhost/mywebsite'
else:
app.... | yaqoobHajizada/MYWebsite | app.py | app.py | py | 1,168 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.re... |
26241823511 | import qi
import sys
import pytest
def test_module():
mod = qi.module("moduletest")
cat = mod.createObject("Cat", "truc")
assert cat.meow(3) == 'meow'
mouse = mod.createObject("Mouse")
assert mouse.squeak() == 18
session = qi.Session()
session.listenStandalone('tcp://localhost:0')
ca... | cristianrubioa/pynaoqi-installation-for-mac | pynaoqi/lib/python2.7/site-packages/qi/test/test_module.py | test_module.py | py | 827 | python | en | code | 6 | github-code | 70 | [
{
"api_name": "qi.module",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "qi.Session",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "qi.module",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 26,
... |
3241336207 | from classes.collabrative_filtering import collabrativefiltering_recommender
from classes.demographic_recommender import demographic_recommender_system
from classes.helper import get_reviews
import streamlit as st
reviews = get_reviews()
def recommend():
st.title("Hybrid Recommender System") # app name
with ... | rubaramanan/Hybrid-recomendation-system | scripts/recommender.py | recommender.py | py | 1,880 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "classes.helper.get_reviews",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.form",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.tex... |
29918308314 | # -*- coding: utf-8 -*-
#!/usr/bin/env python
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "seahub.settings")
import django
django.setup()
from seaserv import ccnet_api
from keeper.utils import is_in_mpg_domain_list
def get_user_stats():
"""get KEEPER user stats
"""
try:
users = ccn... | MPDL/KEEPER | seafile_keeper_ext/scripts/monitoring/users_stats.py | users_stats.py | py | 1,013 | python | en | code | 6 | github-code | 70 | [
{
"api_name": "os.environ.setdefault",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "seaserv.ccnet_api.get... |
70169189347 | import logging
from typing import Dict
import bpy
from . import copy_as_mmd_settings
from .copy_as_mmd_settings import CopyAsMMDSettings
log = logging.getLogger(__name__)
# Keep all lowercase
VISEMES = {
"ah": "あ",
"ch": "い",
"u": "う",
"e": "え",
"oh": "お",
}
MMD_SHAPEKEYS = {
"blink happy":... | ShyWolf42/Copy-to-MMD-Visemes | src/mmd_shapekeys/mmd_shapekeys_op.py | mmd_shapekeys_op.py | py | 2,849 | python | en | code | 4 | github-code | 70 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bpy.types",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.object.shape_key_add",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "bpy.ops"... |
14662930954 | #!/usr/bin/env python3
import re
import sys
import requests
ip = sys.argv[1]
data = requests.get(f'http://{ip}:9171/_debug_toolbar/sse')
data = eval(data.text.split('\n')[2][5:])
print(data)
ids = list(map(lambda x: x[0], data))
print(ids)
for each in ids:
r = requests.get(f'http://{ip}:9171/_debug_toolbar/{ea... | C4T-BuT-S4D/innoctf-teazer-01-03-2020 | sploits/passman/debugger.py | debugger.py | py | 385 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number"... |
5391426386 | import sys
import numpy as np
import networkx as nx
from sklearn.preprocessing import normalize
# convergence criterion - when vector L1 norm drops below 10^(-6)
# (this is the same as the original RWR paper)
CONV_THRESHOLD = 0.000001
class RandomWalkWithRestartCore:
def __init__(self,
personalization_... | LeoM93/BiologicalRandomWalks | biological_random_walks/core/core.py | core.py | py | 3,241 | python | en | code | 3 | github-code | 70 | [
{
"api_name": "numpy.copy",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "numpy.subtract",
"... |
26461472619 | import torch
import torch.nn as nn
import numpy as np
from tqdm import tqdm
from embedder import embedder
from evaluate import evaluate
from layers import GCN, InterDiscriminator
class HDI(embedder):
def __init__(self, args):
embedder.__init__(self, args)
self.args = args
self.coef_l = se... | baoyujing/HDMI | models/hdi.py | hdi.py | py | 3,674 | python | en | code | 22 | github-code | 70 | [
{
"api_name": "embedder.embedder",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "embedder.embedder.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "embedder.embedder",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.... |
22342232662 |
import io
import requests
def grower_export(conn, date, organization_id, ckan_config):
"""Prints a message with the current time"""
print("capture_export...")
# check yearMonth (yyyy-mm) format with regex
import re
if not re.match(r'^\d{4}-\d{2}-\d{2}$', date):
msg = f'date format error {dat... | Greenstand/treetracker-airflow-dags | lib/grower_export.py | grower_export.py | py | 4,257 | python | en | code | 5 | github-code | 70 | [
{
"api_name": "re.match",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
... |
27229704491 | import gym
from gym import spaces
import pandas as pd
from IPython.display import display
from IPython.display import clear_output
import numpy as np
from loc import Location
class HunterWorldEnv(gym.Env):
def __init__(self, agent, target, size=10, n_border=20, agent_locs=[]):
self.size = size
... | av-ilin/RUDN | TAutomata/Lab04/enviroment.py | enviroment.py | py | 4,892 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "gym.Env",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Dict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Box",
"line_nu... |
15012259804 | from random import uniform
import numpy as np
import numba
"""
REFs: M. Hopfensitz et al., "Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks,"
in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 2, pp. 487-498, March-April 2012,
doi:... | aertslab/scenicplus | src/scenicplus/BASCA.py | BASCA.py | py | 7,184 | python | en | code | 118 | github-code | 70 | [
{
"api_name": "numpy.mean",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numba.jit",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
... |
14068672306 | import math
from astropy import units as u
from speclite.filters import load_filter
import galcheat
SPECLITE_SURVEY_PREFIXES = {
"DES": "decam2014",
"Euclid_VIS": "Euclid",
"HSC": "hsc2017",
"LSST": "lsst2016",
}
def compute_zeropoint_mag(band_name, effective_area, exposure_time=1 * u.s):
"""Co... | aboucaud/galcheat | scripts/check_zeropoints.py | check_zeropoints.py | py | 2,071 | python | en | code | 15 | github-code | 71 | [
{
"api_name": "astropy.units.s",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "speclite.filters.load_filter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.... |
569587780 | from neural_network import create_model_cnn
from neural_network import predict
from neural_network import cluster_data
from neural_network import create_scatter_plot
from spectrogram_creation import load_audio
from spectrogram_creation import get_spectrogram
import numpy as np
import sys
import os
import joblib
import... | SvadilfariYT/SoundCloud_3 | cnn.py | cnn.py | py | 4,081 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "sys.stdout",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "joblib.dump",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.__stdout__",
"lin... |
33974957503 | import os, builtins
from io import BytesIO
from typing import BinaryIO
from PIL import Image, CurImagePlugin
from PIL._binary import o8
from PIL._binary import o16le as o16
from PIL._binary import o32le as o32
_MAGIC_CUR = b"\0\0\2\0"
def _save_cur(im, fp, filename):
fp.write(_MAGIC_CUR) # (2+2)
width, heig... | TechGuard/Custom-Mouse-Cursor | svg_to_cur/CurImagePlugin.py | CurImagePlugin.py | py | 3,978 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "PIL.Image.Resampling",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "PIL._binary.o16le",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL._binary.o8"... |
28993553483 | import tweepy
from textblob import TextBlob
import pandas as pd
import numpy as np
import re
import matplotlib.pyplot as plt
import sys
plt.style.use('fivethirtyeight')
api_key = ""
api_secret_key = ""
access_token = ""
access_token_secret = ""
auth_handler = tweepy.OAuthHandler(consumer_key = api_key, ... | FiazBinSayeed/Twitter-Sentiment-Analysis | Twitter_Sentiment_Analysis.py | Twitter_Sentiment_Analysis.py | py | 1,011 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name"... |
24584570953 | from typing import List
class Solution:
def rankTeams(self, votes: List[str]) -> str:
count = { v: [0] * len(votes[0]) + [v] for v in votes[0] }
for vote in votes:
for i, v in enumerate(vote):
count[v][i] -= 1
return ''.join(sorted(votes[0], key=count.get))
... | brandoneng000/LeetCode | medium/1366.py | 1366.py | py | 1,449 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
38088290160 | # https://www.hackerrank.com/challenges/itertools-product/problem
from itertools import product
a = list(input().split()) # [int(x) for x in input().split()]
num1 = [int(i) for i in a] #
b = list(input().split())
num2 = [int(i) for i in b]
c=list(product(num1,num2))
print(*c)
| Niconjp/Python | HackerRank/itertools-product.py | itertools-product.py | py | 281 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "itertools.product",
"line_number": 9,
"usage_type": "call"
}
] |
31621914828 | # @Time : 2022-10-02 10:53
# @Author : Phalange
# @File : 6193. 沙漏的最大总和.py
# @Software: PyCharm
# C'est la vie,enjoy it! :D
from typing import List
class Solution:
def maxSum(self, grid: List[List[int]]) -> int:
ans = 0
m = len(grid)
n = len(grid[0])
for i in range(0,m-2):
... | enternityFan/LeetCodePythonVersion | 20221002周赛313/6193. 沙漏的最大总和.py | 6193. 沙漏的最大总和.py | py | 599 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
}
] |
24338304033 | import errno
import json
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy.misc
from scipy.ndimage import rotate
from scipy.stats import bernoulli
# Some useful constants
DRIVING_LOG_FILE = './ex_data/driving_log.csv'
IMG_PATH = './ex_data/'
STEERING_COEFFICIENT ... | T800GHB/Udacity_Self_Driving_Project | CarND-Behavioral-Cloning-P3/assist.py | assist.py | py | 4,101 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "numpy.ceil",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.ceil",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scipy.misc.misc.imresize",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.misc.misc",
... |
18837985720 | # ライブラリのインポート
import streamlit as st
from PIL import Image
#サイドバーに表示させる
st.sidebar.header('画像から文字起こし')
# ファイルアップロード
upload_file = st.sidebar.file_uploader('↓ファイルをアップロードしてください',type=['png', 'jpg', 'gif', 'jpeg'])
# メイン画面
if upload_file is not None:
image = Image.open(upload_file).convert('RGB')
# st.write(ima... | umi12345/ocr_streamlit | main.py | main.py | py | 2,098 | python | ja | code | 0 | github-code | 70 | [
{
"api_name": "streamlit.sidebar.header",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "streamlit.sidebar.file_uploader",
"line_number": 8,
"usage_type": "call"
},
{
"api_... |
7929850302 | from tencentcloud.ess.v20201111.models import CreateFlowSignReviewRequest, UserInfo
from api.common import get_client_instance
from config import Config
def create_flow_sign_review(operator_user_id, flow_id, review_type, review_message):
# 构造客户端调用实例
client = get_client_instance(
Config.secret_id,
... | tencentess/ess-python-kit | api/flow_management/create_flow_sign_review.py | create_flow_sign_review.py | py | 1,219 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "api.common.get_client_instance",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "config.Config.secret_id",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
33592154312 | # Nome: Pedro Victor Rodrigues de Carvalho
# Matrícula: 17/0113043
# Universidade de Brasília, 2º semestre de 2018
# Curso: Engenharia de Computação
# Matéria: Introdução ao Processamento de Imagens
# Professor: Alexandre Zaghetto
# Segunda parte do Assignment 1: Rotulação de componentes conectado... | pedrovrc/IPI_Assignments | Assignment 1/labeling.py | labeling.py | py | 4,859 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cv2.copyMakeBorder",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "cv2.BORDER_CONSTANT",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
... |
17911598327 | from django.shortcuts import render, get_object_or_404
from django.http import Http404
from .models import Player, Volume, Gig
def index(request):
players = Player.objects.order_by('name')
volumes = Volume.objects.order_by('name')
return render(request, 'music/index.html', {'players': players, 'volumes': volumes})
... | jeremiecoullon/LDC | music/views.py | views.py | py | 1,106 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "models.Player.objects.order_by",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Player.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.Player",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "... |
28451230753 | from django.shortcuts import render, redirect, HttpResponse
from django.contrib.auth.decorators import login_required
from crm import models
from crm.forms import CustomerForm, StudentEnrollmentForm
from django.db.utils import IntegrityError
import json, os
from django.views.decorators.csrf import csrf_exempt
from djan... | FengJun1206/PerfectCRM | crm/views.py | views.py | py | 5,581 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "crm.models.CustomerInfo.objects.all",
"line_number": 21,
"usage_typ... |
27327703829 | import collections
from typing import Union, Optional, Set, List, Dict, Tuple
from blspy import AugSchemeMPL
from chiabip158 import PyBIP158
from clvm.casts import int_from_bytes
from src.consensus.block_rewards import (
calculate_pool_reward,
calculate_base_farmer_reward,
)
from src.consensus.blockchain_inte... | LeastAuthority/Chia-Network-chia-blockchain | src/consensus/block_body_validation.py | block_body_validation.py | py | 17,926 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "src.consensus.constants.ConsensusConstants",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "src.consensus.blockchain_interface.BlockchainInterface",
"line_number": 44,
... |
12986791968 | import os
import sys
import types
import weakref
import logging
import datetime
import warnings
import traceback
import functools
from . import _registered_callbacks
from .vendor import six
def inrange(number, base, offset=0.5):
r"""Evaluate whether `number` is within `base` +- `offset`
Lower bound is *incl... | mottosso/pyblish-base | pyblish/lib.py | lib.py | py | 12,186 | python | en | code | null | github-code | 71 | [
{
"api_name": "logging.Handler",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "logging.Handler.__init__",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "logging.Handler",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "sy... |
34982378497 | ###
# Programmers: David Landsman, Aaron Nahum
# File name: SQLWrapper.py
# Description: Contains methods for easily working with the database.
###
import sqlite3
import Course
import Student
class SQLWrapper:
def __init__(self):
'''Initialize SQLWrapper.'''
# Create a database file
self.c... | S-Kantor/Time-table-creator | src/SQLWrapper.py | SQLWrapper.py | py | 5,414 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sqlite3.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Student.Student",
"line_number": 162,
"usage_type": "call"
},
{
"api_name": "Course.Course",
"line_number": 165,
"usage_type": "call"
}
] |
8478989496 | # import imageio
#
# imageio.plugins.ffmpeg.download()
# # import win_unicode_console
#
# win_unicode_console.enable()
import sys, os
from PyQt5.QtCore import *
from PyQt5.QtWidgets import (QWidget, QPushButton, QLineEdit, QLabel,QTextEdit,
QApplication, QFileDialog,QProgressBar)
from movie... | kulohen/video4in1 | RecycleBin/cut-fromWeb3.py | cut-fromWeb3.py | py | 4,937 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PyQt5.QtWidgets.QApplication.processEvents",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 27,
"usage_type": "name"... |
32915404199 | '''
date: 2022-09-15
Author: Michael Bedard
intro: This code was created to simulate single quantum dots of diffrent
types of atoms. it is rather basic
'''
import set
import numpy as np
import matplotlib.pyplot as plt
from scipy import constants as cst
import warnings
import scipy.linalg as linalg
# build simulati... | physLab88/DotSimulator | impurtie_simulator.py | impurtie_simulator.py | py | 4,164 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "set.SET",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "set.SET",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_numbe... |
32092159293 | import csv
import pandas as pd
from gensim.models.ldamodel import LdaModel
year = 20
num = 1
file_name = f"topics_{year}_{num}.csv"
model_name = f"lda_model_{year}_{num}"
# CSV 파일 불러오기
topics = pd.read_csv(file_name, header=None, encoding='cp949')
# 저장된 모델 불러오기
loaded_model = LdaModel.load(f"{model_... | DH-an/TopicModeling_COVID19-Infomation | 3.TopicModeling/topic3.py | topic3.py | py | 1,072 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gensim.models.ldamodel.LdaModel.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gensim.models.ldamodel.LdaModel",
"line_number": 16,
"usage_type": "name"
},
{
... |
25923163458 | import tensorflow as tf
import winsound
import matplotlib.pyplot as plt
import datetime
import os.path
import glob
from Feature_ARPES_CNN_utils import load_data_ARPES, get_compiled_model
'''This code creates and trains a CNN model for extracting bare bands from ARPES spectra.
It is similar to what was report... | fjoucken/trARPES-extraction | CNN_model/Feature_ARPES_CNN_main.py | Feature_ARPES_CNN_main.py | py | 5,599 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number":... |
411816688 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os
import wx
import filectrl
import autoSortListCtrl
class ShowCategoryDialog(wx.Frame):
"""
Dialog that shows
filepaths to music files
ordered in categories.
"""
def __init__(self, parent, musicDict):
"""Initialization.... | xmarcux/CatPlay | ui/showCategoryDialog.py | showCategoryDialog.py | py | 3,270 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "wx.Frame",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame.__init__",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "wx.Image",
"line_nu... |
34200973939 | from __future__ import absolute_import, unicode_literals
from celery import shared_task
from celery import Celery
from django.core.mail import EmailMessage
@shared_task
def send_email_task(by, to):
email_to = to
email_subject = 'Thanks for using considereing me'
email_body = 'Hi sir!,\nThanks for consider... | jha-shubham01/fast-test | backend/fast/tasks.py | tasks.py | py | 645 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.core.mail.EmailMessage",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "celery.shared_task",
"line_number": 7,
"usage_type": "name"
}
] |
23750323942 | import matplotlib.pyplot as plt
import os
import numpy as np
from scipy import spatial
from tqdm import tqdm
from dataset_extend import DE
def plot_cosine_similarity(data,vid_label,point_label,instance_label,vid_name,dataset):
save_path='/mnt/data1/zhx/Weakly_TAL/baseline/tools/figs/cos_similarity_{}'.format(data... | pipixin321/TAL_APP | tal_alg/CoRL/tools/feature_simlarity_analysis.py | feature_simlarity_analysis.py | py | 2,216 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
33355342937 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from .models import ListPC
from django.template import loader
from django.urls import reverse
def index(request):
context = {'segment': 'listpc'}
template = loader.get_template('listpc/indexpc.html')
return Http... | Eidith15/DeviceInventory-Py | apps/listpc/views.py | views.py | py | 1,328 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 11,
"usage_type": "call"
},
{
... |
6347306974 | from crawlers.scraper import *
from crawlers import functions
import uuid
import json
class SokCrawler(object):
def get_innerHTML(self, url, page=None):
if page is not None:
url = url.format(page)
scraper = Scraper()
scraper.headers = {
"store-id": "235... | emrefkrlr/dataRaaccons | app/crawlers/sok_market/sok_crawler.py | sok_crawler.py | py | 2,762 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.loads",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 74,
"usage_type": "call"
}
] |
71617174627 | import os
from ml import datasets_path, MNISTDownloader, Trainer
from sklearn.neighbors import KNeighborsClassifier
data_path = os.path.join(datasets_path, 'mnist')
mnist = MNISTDownloader(data_path)
dataset = mnist.fetch()
trainer = Trainer(dataset)
trainer.train_test_split()
knn_clf = KNeighborsClassifier()
traine... | edmundsj/ml | ml/examples/mnist.py | mnist.py | py | 379 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ml.datasets_path",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ml.MNISTDownloader",
... |
38858986007 |
from typing import Any
import cv2
from cv2 import UMat
import time
from runner import run
import numpy as np
from my_timer import MyTimer
class FilterRotation2:
def __init__(self) -> None:
self.image_white = None
self.image_white_transformed = None
self.image_black_transformed = None
self.image_bef... | novogrammer/jpeg-filter-prototype | jpeg_filter_prototype/filter_rotation2.py | filter_rotation2.py | py | 1,826 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cv2.UMat",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cv2.UMat",
"line_number": 2... |
6710034832 | import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.animation as animation
from IPython.display import HTML
#可现实中文的设置
plt.rcParams['font.sans-serif']=['fangsong']
plt.rcParams['axes.unicode_minus']=False
df = pd.read_excel(r'E:\pyNote\调用资料/62classNew.xlsx', 'Sheet1'... | ycallenchina/PythonStudy_Git | 其他学习_少量/Matplotlib学习/指数变化_动态图.py | 指数变化_动态图.py | py | 1,148 | python | zh | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 8,
"usage_type": "attribute"
},
{
"ap... |
29964651561 | import hashlib, logging, requests
from typing import Dict, List, Literal, Tuple
from pathlib import Path
import pendulum
from oauthlib.oauth2 import BackendApplicationClient
from pyspark.sql import SparkSession
from requests_oauthlib import OAuth2Session
from requests.exceptions import RequestException
from shared.fu... | pennfoster/databricks-pipelines | data_sources/marketo/classes.py | classes.py | py | 7,071 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 18,
"usage_t... |
14450004001 | #Content of this file is copied from https://github.com/abisee/pointer-generator/blob/master/
import os
import csv
import pyrouge
import logging
import tensorflow as tf
import config
from config import *
from TeluguTokenizer.tokenizer import *
from rouge_score import rouge_scorer
def print_results(article, abstract, ... | ashokurlana/TeSum | baselines/Pointer_Generator/utils.py | utils.py | py | 5,981 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "rouge_score.rouge_scorer.RougeScorer",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "rouge_score.rouge_scorer",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name... |
23316209045 | from yt_dlp import YoutubeDL
import sys
def download(list, outputPath):
opts = {
'outtmpl': outputPath+'%(title)s-%(id)s.%(ext)s',
'format': 'bestaudio/best',
'postprocessors': [{
'key': 'FFmpegExtractAudio',
'preferredcodec': 'mp3',
'preferredquality': ... | markchen8717/youtube-dl | main.py | main.py | py | 1,054 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "yt_dlp.YoutubeDL",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_num... |
34405424700 | import os
from flask import (
Flask,
render_template,
request,
flash,
redirect,
url_for,
jsonify
)
from flask.views import MethodView
from werkzeug.utils import secure_filename
from .forms import (
UploadForm,
ImageForm,
UserCreationForm,
LoginForm,
ImageCaptureForm... | Byenkya/image_text_extractor | text_extractor/routes.py | routes.py | py | 8,887 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.views.MethodView",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "forms.LoginForm",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "forms.Lo... |
71743890790 | try:
import sys
import os
sys.path.append(
os.path.abspath(
os.path.join(
os.path.dirname(__file__),
'..'
)
)
)
except Exception:
pass
import unittest
import requests
from jsonpath import jsonpath
from faker import Faker
from ... | elcidon/company_hero | tests/test_companies.py | test_companies.py | py | 5,614 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
17205446235 | import json
import csv
import os
import numpy as np
import voltagebudget
from scipy.optimize import least_squares
from pyswarm import pso
from voltagebudget.neurons import adex
from voltagebudget.neurons import shadow_adex
from voltagebudget.util import poisson_impulse
from voltagebudget.util import read_results
fr... | parenthetical-e/voltagebudget | voltagebudget/exp/autotune.py | autotune.py | py | 9,874 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "numpy.random.seed",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "voltagebudget.util.read_modes",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "vol... |
12830255576 | import numpy as np
import pandas as pd
import datetime
from .data import get_vested_amount
FIL_BASE = 2_000_000_000.0
PL_AMOUNT = 0.15 * FIL_BASE
FOUNDATION_AMOUNT = 0.05 * FIL_BASE
STORAGE_MINING = 0.55 * FIL_BASE
MINING_RESERVE = 0.15 * FIL_BASE
def compute_vesting_trajectory_df(
start_date: datetime.date, en... | protocol/filecoin-mecha-twin | mechafil/vesting.py | vesting.py | py | 3,013 | python | en | code | 15 | github-code | 71 | [
{
"api_name": "datetime.date",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",... |
496331106 | import yaml
class Config(dict):
def __init__(self, filename):
super().__init__()
try:
with open(filename, 'r') as f:
cfg_dict = yaml.load(f, Loader=yaml.SafeLoader)
except EnvironmentError:
print('Please check the file with name of "%s"', filename)
... | Y-P-Zhang/PolypSegmentation | config.py | config.py | py | 390 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "yaml.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "yaml.SafeLoader",
"line_number": 9,
"usage_type": "attribute"
}
] |
33637739030 | #! /usr/bin/env python3
"""
Using the requests and BeautifulSoup Python libraries, print to the screen the
full text of the article on this website:
http://www.vanityfair.com/society/2014/06/monica-lewinsky-humiliation-culture.
"""
import requests
from bs4 import BeautifulSoup
def main():
url = (
"htt... | johnjtorres/devasc | webpage_decode/vanityfair.py | vanityfair.py | py | 634 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
}
] |
5293773849 | #!python
from twisted.internet.protocol import DatagramProtocol
from twisted.internet import task, stdio
from common import unpack_datagramm_args
from prompt import ColoredPrompt
import socket
class BaseServer(DatagramProtocol, object):
def __init__(self, prompt=None):
self.clients = {}
self.promp... | yanlobkarev/p2p | base.py | base.py | py | 2,678 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "twisted.internet.protocol.DatagramProtocol",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "prompt.ColoredPrompt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "twisted.internet.task.LoopingCall",
"line_number": 15,
"usage_type": "call... |
72009954471 | #!/usr/bin/env python
from django.urls import path, include
from . import views
app_name = "web"
urlpatterns = [
path('register/', views.register, name='signup'),
path('login/', views.login_web, name="login"),
path('index/', views.index, name='index'),
path('myprofile/', views.profile_web, name='profi... | yang-ze-kang/django_Mrdu | web/urls.py | urls.py | py | 1,197 | python | en | code | 0 | github-code | 71 | [
{
"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",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
31155207991 | import asyncio
import uuid
import pytest
from ..exc import NoNode
@pytest.fixture
async def data_watcher(zk, path):
await zk.create(path)
watcher = zk.recipes.DataWatcher()
watcher.set_client(zk)
yield watcher
await zk.delete(path)
@pytest.mark.asyncio
async def test_data_watch(zk, path, data_... | hire-us/aiozk-backup | aiozk/test/test_watchers.py | test_watchers.py | py | 4,002 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "asyncio.Event",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "asyncio.wait_for",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"... |
5678193783 | __problem__ = \
"""
No prepared statement used in backend.
"""
__attack__ = \
"""
Used Ambigous expression in input field.
"""
__mitigation__ = \
"""
Use prepared statement
"""
import logging
import requests
from __base__ import setup_log, extract_user_info
log = logging.getLogger(__name__)
... | leahgill/hackinglab | 001sqlinjection.py | 001sqlinjection.py | py | 1,211 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.session",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "__base__.extract_user_info",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "__base_... |
19926553589 | from sympy import Symbol
from sympy.matrices import Matrix, eye, BlockMatrix, zeros
from sympy.tensor.array import Array
from sympy.physics.mechanics import dynamicsymbols, msubs
from sympy.core.function import Derivative
from nlcontrol.systems.controllers import ControllerBase
from simupy.systems.symbolic import Dyn... | jjuch/nlcontrol | nlcontrol/systems/controllers/eulaC.py | eulaC.py | py | 27,175 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "nlcontrol.systems.controllers.ControllerBase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sympy.tensor.array.Array",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "numpy.isscalar",
"line_number": 163,
"usage_type": "call"
},
{
... |
32736290517 | import cv2
from Tho.Main_lib.distance_calc_lib import CircleBasedObjectDistance
import time
# Canny_low = 200, Canny_high = 5000, step_size = 1, hough_param =22,
# slope = 867.7887424687945, intercept = -0.18242145320198588
# Circle_based_estimate_1 = CircleDistance(0, 50000, 1, 50, 867.7887424687945, -0.182421453201... | Tran-Minh-Quan/Line_Inspector | Tho/Main_lib/Example_usage.py | Example_usage.py | py | 1,936 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Tho.Main_lib.distance_calc_lib.CircleBasedObjectDistance",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
25884155588 | import sys
import praw
import sqlite3
if len(sys.argv) > 1:
# Parse Parameters
DB_NAME = sys.argv[1]
POST_COUNT = int(sys.argv[2])
TIME_FILTER = sys.argv[3]
TYPE = sys.argv[4]
SUBREDDITS = []
for i in range(5, len(sys.argv)):
SUBREDDITS.append(sys.argv[i])
else:
DB_NAME = "test_data.db"
POST_CO... | wpower12/CIS5524-FinalProject | data_collection/fetch_posts.py | fetch_posts.py | py | 1,074 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": ... |
36157943561 | """
Functions for system-related tasks (currently just registering/deregistering the executor manifest).
"""
import json
import logging
import os
import sys
import typing
from .interpreter import Interpreter
LOGGER = logging.getLogger(__name__)
LOGGER.addHandler(logging.NullHandler())
MANIFEST_FILE_NAME = "pyla.jso... | stencila/pyla | stencila/pyla/system.py | system.py | py | 3,521 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.platform.lower",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.platform... |
1532548612 | from fluidreleaser import ANDROID_VERSIONS, DEFAULT_VARIANT
import hashlib
from pathlib import Path
class Artifact:
"""
A class representing an artifact
"""
def __init__(self, artifact: Path):
self.path = artifact
self.filename = self.path.name
filename_split = self.filename[:-4].split("-")
if len(filename... | Project-Fluid/fluidreleaser | fluidreleaser/utils/artifact.py | artifact.py | py | 667 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "fluidreleaser.DEFAULT_VARIANT",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "fluidreleaser.ANDROID_VERSIONS",
"line_number": 26,
"usage_type": "name"
},
{
"api_... |
72954467750 | import pathlib
def main():
current_directory = str(pathlib.Path(__file__).parent.resolve())
with open(current_directory + "/input", 'r') as fd:
line = fd.readline().strip()
start_of_packet_position = find_start_of_packet_position(line)
print("Start of packet :", start_of_packet_position)
... | aymericq/advent22 | d06/main.py | main.py | py | 1,070 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
}
] |
38512102439 | from gi.repository import Gtk
class DtoolSearchResultsRow(Gtk.ListBoxRow):
__gtype_name__ = 'DtoolSearchResultsRow'
_margin = 3
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._task = None
self._search_results = None
hbox = Gtk.Box(orientatio... | livMatS/dtool-lookup-gui | dtool_lookup_gui/widgets/search_results_row.py | search_results_row.py | py | 1,810 | python | en | code | 8 | github-code | 71 | [
{
"api_name": "gi.repository.Gtk.ListBoxRow",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "gi.repository.Gtk.Box",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
33839658427 | import datetime
import time
from django.contrib.auth import get_user_model
from django.db.models.signals import post_save
from django.dispatch import receiver
from mailing.models import Mailing, NewsLetter
from user.models import Profile
from registration.models import Ticket
@receiver(post_save, sender=Mailing)
de... | pythonkr/pyconkr-2020 | mailing/signal.py | signal.py | py | 1,768 | python | en | code | 10 | github-code | 71 | [
{
"api_name": "datetime.timezone",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
1424682392 | from django.db.models.signals import post_save
from django.dispatch import receiver
from apps.boards.models import Board
from apps.columns.models import Column
from apps.goals.models import Goal
from apps.projects.models import Project
from hackachieve.utils import START_UP_BOARD_LIST
GOAL_STATUS = {
'standby': 1... | jonit-dev/hackachieve-backend | apps/projects/utils.py | utils.py | py | 2,009 | python | en | code | 6 | github-code | 71 | [
{
"api_name": "apps.boards.models.Board.objects.filter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "apps.boards.models.Board.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "apps.boards.models.Board",
"line_number": 20,
"usage_type":... |
30409827730 | import collections
import os
import platform
from time import time
import traceback
import sublime # type: ignore
import sublime_plugin # type: ignore
SETTING_PWD = 'current_working_directory'
CONTEXT_ACTION_ERROR = 'Error'
CONTEXT_ACTION_FOLDER_ADD = 'Add Folder'
CONTEXT_ACTION_FOLDER_REVEAL = 'Reveal'
CONTEXT_AC... | jongiddy/sublime-gidopen | gidopen.py | gidopen.py | py | 44,387 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "platform.system",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
6693251730 | from datasets import load_dataset, DatasetDict
import os
dataset_folder = "disk/dataset"
token = ""
ds = DatasetDict()
for file in os.listdir(dataset_folder):
if file.endswith(".json"):
file_name = file.split(".")[0] #make it aplhanmueric only
file_name = "".join([i for i in file_name if i.isalp... | C23-DF01-Dicoding-Indonesia/semantic-search-train | prepare-dataset/upload_to_hub.py | upload_to_hub.py | py | 1,118 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "datasets.DatasetDict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datasets.load_dataset",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datasets.load_dat... |
10644245820 | import logging
import azure.functions as func
from datetime import datetime, timedelta, timezone
from pypika import Query, Table, Order
from google.oauth2 import service_account
from google.cloud import bigquery
from pathlib import Path
from pandas import to_datetime
from typing import List
def main(req:... | morninng/azure-function-test | HttpTrigger1/__init__.py | __init__.py | py | 2,083 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "azure.functions.HttpRequest",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "azure.functions",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib... |
29566658131 | '''
Given a string, check if it can be rearranged to form a palindrome.
'''
from collections import defaultdict
class Solution:
def checkForPalindrome(self, s: str) -> bool:
# Basically counnting all of the characters. We must have an all even count, or an all even count with one odd
h = defaultdi... | AWAlexWeber/python-practice | Other/CoderPro/CheckPalindrome.py | CheckPalindrome.py | py | 666 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
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