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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73914447358 | # https://www.hackerrank.com/challenges/collections-counter/problem
from collections import Counter
if __name__ == '__main__':
numberofshoes = int(input())
shoevarietysize = Counter(map(int,input().split()))
numberofcustomer = int(input())
totalincome = 0
for _ in range(numberofcustomer):
... | AbhishekYadav011/learning | problem_solving/hackerrank/collection_counter.py | collection_counter.py | py | 555 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
}
] |
21795792191 | # -*- coding: utf-8 -*-
import os
import xlrd
import logging
from sources.repository.noderepository import NodeRepo
from sources.domain.nodesubscriber import NodeSubscriber
from sources.domain.errors import MigrateError
from sources.config.config import *
log_def_subs_repo = logging.getLogger("migrate.defsubsrepo")
... | vpalex999/tusur_software_development | MigrateIMS/sources/repository/mockrepository.py | mockrepository.py | py | 1,999 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sources.repository.noderepository.NodeRepo",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.isfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_n... |
10811508022 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 22 11:05:03 2022
@author: belayv
"""
import mdtraj as md
import paramiko
from scp import SCPClient, SCPException
import os
import sys
def send_to_fah(lilac_out_dir,fah_in_dir):
def remove_solvent(lilac_out_dir):
for i in... | viktorbelay/protein-analysis-package | 1.py | 1.py | py | 2,849 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "mdtraj.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 35,
... |
32044108462 | from flask import Flask, request
from flask_cors import CORS
import requests
from datetime import datetime
from dateutil.relativedelta import relativedelta
from geopy.geocoders import Nominatim
from random import *
import json
app = Flask(__name__)
CORS(app)
@app.route("/getSamplePoints")
def samplePoints():
# sa... | danielyuenhx/cleanchain-backend | server.py | server.py | py | 2,189 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "geopy.geocoders.Nominatim",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
13130363386 | import argparse
import os
import time
import cv2
import numpy as np
import tensorrt as trt
import common
TRT_LOGGER = trt.Logger(trt.Logger.INFO)
trt.init_libnvinfer_plugins(TRT_LOGGER, "")
WINDOW_NAME = "TensorRT Fast-SCNN example."
mean = [0.485, 0.456, 0.406]
std = [0.229, 0.224, 0.225]
def get_engine(engine... | NobuoTsukamoto/tensorrt-examples | python/fast_scnn/trt_fast_scnn_image.py | trt_fast_scnn_image.py | py | 4,448 | python | en | code | 71 | github-code | 97 | [
{
"api_name": "tensorrt.Logger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorrt.init_libnvinfer_plugins",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorrt.Runtime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "num... |
3026908945 | # importing the necessary packages
import os
from dotenv import load_dotenv
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import spotipy.util as util
sp = spotipy.Spotify()
load_dotenv()
# setting up authorization
cid = os.getenv('SPOTIFY_CID')
secret = os.getenv('SPOTIFY_SID')
# saving the info... | camjewell11/SpotofyAMBot | Spotify.py | Spotify.py | py | 2,415 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "spotipy.Spotify",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_num... |
74142208638 | from __future__ import absolute_import
import os.path
import sys
from datetime import timedelta
from dns.name import from_text
from dns.rdataclass import IN
from dns.rdatatype import A, AAAA
from dns.resolver import Cache
from reconfigure.configs import HostsConfig
from .dnspython import create_answer, create_simp... | jayvdb/dns-cache | dns_cache/hosts.py | hosts.py | py | 3,132 | python | en | code | 18 | github-code | 97 | [
{
"api_name": "datetime.timedelta",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.expandvars",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path.... |
71438174719 | # Import libraries for pre-processing
import numpy as np
np.random.seed(1000)
import matplotlib.pyplot as plt
import os
import cv2
from PIL import Image
import keras
# Set the path & size of images
image_directory = 'D:/ML_Projects/Melanoma Classification/skin-lesions/train/'
SIZE = 128
dataset_train = [... | AnirudhHosur/Skin-Lesion---melanoma-detection- | skin_cancer_classification.py | skin_cancer_classification.py | py | 9,698 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.seed",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_n... |
40914821932 | """.. Ignore pydocstyle D400.
=====
State
=====
Constants used by the dispatcher.
.. autofunction:: resolwe.flow.managers.state.update_constants
"""
# This module should not import anything local, or there will be circular
# dependencies, since the constants are needed in various sub-modules inside
# resolwe.flow.ma... | gregorjerse/resolwe | resolwe/flow/managers/state.py | state.py | py | 1,297 | python | en | code | null | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 35,
"usage_type": "argument"
}
] |
30021096656 | from flask import (Flask, render_template, request, jsonify)
app = Flask(__name__)
@app.route('/')
def index():
print('request for index page received')
return render_template('index.html')
@app.route('/convert', methods=['POST'])
def convert():
data = request.get_json()
celsius = data.get('celsius')... | mddiallo/api-temp-flask | app.py | app.py | py | 568 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request"... |
21977485552 | from django.shortcuts import render
from django.http import HttpResponse
# from models import Question
from django.template import loader
import json
import logging
import sys
import os
from models.predict_model import Modelpredictor
from .models import Question
import models.train_model as tm
import storage.database ... | MarcRotsaert/MakeAIWork3 | projects/healthapp/src/django/myfirstdjango/polls/views.py | views.py | py | 3,195 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.Question.objects.o... |
3638033988 | import streamlit as st
import networkx as nx
import matplotlib.pyplot as plt
G, undirected_G = st.session_state.G, st.session_state.undirected_G
def visualize_network(G, plot_options):
pos = nx.spring_layout(G, iterations=20, seed=1721)
fig, ax = plt.subplots(figsize=(40, 15), dpi=10000) # Increase dpi here... | AlainJoss/foodweb-analyser | pages/9_visualization.py | 9_visualization.py | py | 635 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "streamlit.session_state",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "networkx.spring_layout",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 10,
"usage_type": "call"
},
{
"api_... |
72004275198 | from django.contrib.auth.models import User, Group
from stonks.models import * # UserProfile, User, Funds, Transactions
from rest_framework import serializers
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
class UserProfileSerializer(serializers.ModelSerializer):
class Meta:
... | brongh/junk_stonks | stonks/serializers.py | serializers.py | py | 4,005 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number... |
74468443198 | from django.shortcuts import render, redirect
from crud.models import players, game, player_game_scoreboard
from django.http import JsonResponse, HttpResponse
from django.views.decorators.csrf import csrf_exempt
import json
from django.contrib.auth.decorators import login_required
@login_required()
def teamSel... | ChristosK97/CkCrudAppPublic | crud/views.py | views.py | py | 13,962 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "crud.models.game.objects.filter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "crud.models.game.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "crud.models.game",
"line_number": 10,
"usage_type": "name"
},
{
"ap... |
70741508478 | from os.path import exists, join
from collections import defaultdict
import numpy as np
import os
import time
import logging
import re
import pickle
import shutil
import signal
from multiprocessing import Pool
try:
from spython.main import Client as client
except:
pass
BUFFER_PATH = os.getenv('BUFFER_PATH')
i... | Daffan/ros_jackal | rl_algos/collector.py | collector.py | py | 8,060 | python | en | code | 19 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "spython.main.Client.execute",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "spython.main.Client",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.path.joi... |
73478330239 | import argparse
def left_factoring2(rules, n):
counter = 0
max_alpha = {}
for key in rules:
max_alpha[key] = 1
while(True):
if(counter == n):
break
keys = list(rules)
rule = keys[counter]
rule_without_stricks = rule.split('\'')[0]
gram = rul... | DavidAbdelmalek/Compiler_Design | left factoring/task_4_2.py | task_4_2.py | py | 3,057 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 62,
"usage_type": "call"
}
] |
33722466667 | # import datetime
#
# def regularMonths(currMonth):
# mm, yy = map(int, currMonth.split("-"))
# while True:
# if mm < 12:
# mm += 1
# else:
# mm = 1
# yy +=1
# m = datetime.date(yy, mm, 1)
# if m.weekday() == 0:
# return m.strftime(... | Vestenar/PythonProjects | venv/02_Codesignal/02_The Core/135_regularMonths.py | 135_regularMonths.py | py | 1,784 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "dateti... |
13589005727 | import random #Libreria utilizada para generar un numero aleatorio para el comprobante
import datetime #Libreria utilizada para usar la fecha y hora
def cargar_apuestas_quiniela():
'''
Esta funcion lee las apuestas en el archivo y almacena cada linea en la lista datos,
el elemento 1 de datos corresponde... | te02021/Proyecto-Final | proyectofinal.py | proyectofinal.py | py | 21,466 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datetime.... |
73733537918 | from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
import pandas as pd
import utilities
houses = pd.read_csv("../../datasets/house_prices/train.csv")
houses = houses.drop(['Id'], axis=1)
numerical_houses = houses._get_nume... | lipry/DatascienceFriday | source/house_prices_script/neural_network.py | neural_network.py | py | 874 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "utilities.sub_na",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name... |
44017042952 | import math
import time
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import scipy.signal as sig
import scipy.fft as fft
import scipy.io.wavfile as wavfile
from scipy.constants import pi
import sounddevice as sd
# Documentation: https://python-sounddevice.re... | DGullicksonMines/DSP_Group7Project | adaptive_filter_testing/adaptive_filter.py | adaptive_filter.py | py | 2,281 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scipy.io.wavfile.read",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "math.ceil",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
... |
24745331419 | products = [
{"item_name": "boost", "mrp": 290, "stock": 50},
{"item_name": "complan", "mrp": 240, "stock": 10},
{"item_name": "bournvita", "mrp": 320, "stock": 20},
{"item_name": "horlicks", "mrp": 280, "stock": 13},
{"item_name": "nutricharge", "mrp": 275, "stock": 0},
]
name = list(map(lambda pr... | Anjualbin/workdirectory | Functional programming by sajay/mapd.py | mapd.py | py | 750 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "functools.reduce",
"line_number": 26,
"usage_type": "call"
}
] |
182077926 | '''Regional spider module'''
# -*- coding: utf-8 -*-
from scrapy.spider import Spider
from scrapy.selector import Selector
from scrapy.http import Request
import urlparse
from regional.items import RegionalItem
class RegionalSpider(Spider):
'''Regional spider'''
name = 'regional-spider'
... | lucumt/myrepository | python/amd47/ny/dec/regional_spider/regional/spiders/regionalspider.py | regionalspider.py | py | 2,455 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "scrapy.spider.Spider",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "regional.items.RegionalItem",
"line_number": 36,
"usage_type": "call"
},
{
"api_nam... |
42446489055 | import numpy as np
import cv2
from PIL import ImageGrab
# windows
FOURCC = 'DIVX'
# linux
# FOURCC = 'XVID'
p = ImageGrab.grab()
a, b = p.size
fourcc = cv2.VideoWriter_fourcc(*FOURCC)
video = cv2.VideoWriter('video.mp4', fourcc, 60, (a, b))
while True:
im = ImageGrab.grab()
cv_im = cv2.cvtColor(np.array(im),... | ZhiyuanLck/VideoScript | ScreenCapture.py | ScreenCapture.py | py | 379 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PIL.ImageGrab.grab",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.ImageGrab",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter... |
37308223216 | #!/usr/bin/env python
"""Tests for `kred` package."""
import unittest
from nose2.tools import params
class TestStringMethods(unittest.TestCase):
@params("Pragmaapps", "Pragmaapps Technalogy", "iPragmatech name as Pragmaapps")
def test_is_knight(self, value):
assert value.startswith('Pragmaapps')
... | javedpragmaapps/kred | tests/test_demo.py | test_demo.py | py | 581 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "nose2.tools.params",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nose2.tools.params",
"line_number": 17,
"usage_type": "call"
}
] |
43642549179 | from itertools import combinations
card_count, target = list(map(int, input().split(" ")))
cards = list(map(int, input().split(" ")))
closest = 0
for combos in combinations(cards, 3):
summed = sum(combos)
if closest < summed <= target:
closest = summed
print(closest) | JYC11/data-structures-and-algos | baekjun/blackjack_sum.py | blackjack_sum.py | py | 297 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "itertools.combinations",
"line_number": 7,
"usage_type": "call"
}
] |
8011764090 | #!/usr/bin/python
import cgi, cgitb, pickle
import os.path as path
print("Content-type: text/html\n")
cgitb.enable()
inpts = cgi.FieldStorage()
data_dir = ''
def cartTotal(username):
total = 0.00
for item in carts[username]:
total += float(item.price)
return "%.2f" % total
d... | shadmanrakib/surreal | surreal/cart.py | cart.py | py | 5,778 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cgitb.enable",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cgi.FieldStorage",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
37845335564 | import logging
import argparse
import os
import sqlite3
from datetime import datetime
from bs4 import BeautifulSoup
def main():
parser = argparse.ArgumentParser(
description="Parse saved webpages for user and route data."
)
parser.add_argument("input",
help="The folder wit... | andylamb/8a-data | parse.py | parse.py | py | 11,261 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
8499297081 | #!/usr/bin/python
from itertools import permutations
from project_euler import timeit, sieves, tuple_to_digit
def is_permutations(nbrs):
perms = map(tuple_to_digit, permutations(str(nbrs[0]), 4))
return all(nbr in perms for nbr in nbrs)
def prime_permutations():
sieve = sieves(10000)
diff = 3330
... | PStahl/project_euler | p049_prime_permutations.py | p049_prime_permutations.py | py | 549 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "project_euler.tuple_to_digit",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "itertools.permutations",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "project_euler.sieves",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
38921782103 | from typing import List
class BinarySearch:
def binary_search(self, nums: List[int], target, low, high) -> int:
if high >= low:
mid = (low + high) // 2
if nums[mid] == target:
return True
elif nums[mid] > target:
return self.binary_searc... | SamanehGhafouri/leetcode | easy/above_70_percent_easy/Algorithms/binary_search.py | binary_search.py | py | 622 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
26848031835 | import json
import boto3
import urllib3
def lambda_handler(event, context):
for item_event in event["Records"]:
item_event_body = json.loads(item_event["body"])
job_name = item_event_body["job_guid"]
url = item_event_body["audio_url"]
bucket = "voice-recognition-2131... | AntonAnton/aws_voice_transcribtion_test_task | transcribtions_handler.py | transcribtions_handler.py | py | 1,288 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib3.PoolManager",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_n... |
4170145499 |
from is_wire.core import Channel, Message, Subscription
from is_msgs.common_pb2 import Tensor
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import cv2
import sys
def create_world_frame():
# Create the world frame
u_vectors = np.array([1,0,0])
v_vectors = np... | rfvassallo/learningISBristol | lesson07_moveRobot_correctOdometry/plot_odometry.py | plot_odometry.py | py | 3,490 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
36516499770 | import json
import tornado.web
from tornado import gen
from docker_settings import docker_commands, whitelist
from executor import executors
from linux_command import linux_command_execute
from loggers import logger
from slack import slack_messages, slack_settings, slack_http_client
# docker_webhook_handler.p... | gitter-badger/Docker-Webhooks-Server | Tornado-Application/handlers/docker_webhook_handler.py | docker_webhook_handler.py | py | 2,997 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tornado.web.web",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "loggers.logger.logger.info",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "loggers.l... |
16896729259 | import torch
from torch import nn
import torch.nn.functional as F
class TextEncoder(nn.Module):
def __init__(self, embedding_size, hidden_size, num_layers, bidirectional=False, model_type='gru'):
super().__init__()
if model_type == 'gru':
self.text_encoder = nn.GRU(embedding_si... | shreyansh26/Sentence-VAE | model.py | model.py | py | 7,277 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.GRU",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number"... |
36820760246 | from flask import Blueprint, render_template, send_from_directory, url_for, current_app, request, Response, send_file, jsonify
from flask_login import login_required, current_user
from flask_uploads import UploadSet, IMAGES
from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileRequired, FileAllo... | megashinyabsol359/Cloudinary-2.0 | code/project/main.py | main.py | py | 8,619 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask_log... |
43391429647 | from django.shortcuts import render, redirect, get_object_or_404
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .forms import CreateEventForm, JoinEvent, LikeEvent
from django.urls import reverse, reverse_lazy
from .models import Event, Participant, Like
from membersh... | paperclippete/FinalMilestone | events/views.py | views.py | py | 6,128 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "forms.CreateEventForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "forms.CreateEventForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "membership.models",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "members... |
72970191998 | #!/home/zeyu/anaconda3/bin/python3.6
"""
Preprocessing
Author:
Zeyu Li <zyli@cs.ucla.edu> or <zeyuli@ucla.edu>
Description:
Take in the Very raw data and produce a ready-to-use version
"""
import sys, os
import re
import logging
import numpy as np
from lxml import etree
from bs4 import B... | zyli93/NeRank | src/preprocessing.py | preprocessing.py | py | 23,663 | python | en | code | 19 | github-code | 97 | [
{
"api_name": "nltk.data.path.append",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.sub",
"... |
5094825006 | # -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import argparse
import glob
import sys
import os
import sys
import random
import copy
import json
import time
from datetime import datetime as dt
import matplotlib.pyplot as plt
path = os.path.join(os.path.dirname(__file__), '../')
sys.path.append(path)
... | conf-post-01/Ddim | ddim_change_symptom/ddim_simulation_real_data.py | ddim_simulation_real_data.py | py | 14,094 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
21928761617 | import json
from glob import glob
from os.path import isdir, join
import click
import semantic_version
from platformio import app, exception, util
from platformio.compat import glob_escape
from platformio.managers.package import BasePkgManager
from platformio.managers.platform import PlatformFactory, PlatformManager
... | socallinuxexpo/scaleav-deb | opt/scaleavvenv/lib/python3.6/site-packages/platformio/managers/lib.py | lib.py | py | 12,034 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "platformio.managers.package.BasePkgManager",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "platformio.project.config.ProjectConfig.get_instance",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "platformio.project.config.ProjectConfig",
"li... |
70607913280 | """
Script for raw yield extraction
"""
import os
import sys
import argparse
import yaml
import pandas as pd
import numpy as np
from hist import Hist
import uproot
from flarefly.data_handler import DataHandler
from flarefly.fitter import F2MassFitter
from particle import Particle
def create_hist(pt_lims, contents, er... | DmesonAnalysers/DmesonAnalysis | resonances/extract_rawyield_DV0reso.py | extract_rawyield_DV0reso.py | py | 7,341 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "hist.Hist.new.Var",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "hist.Hist.new",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "hist.Hist",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"lin... |
2631177664 | from django.test import TestCase
from knesset.settings import PROJECT_ROOT
from knesset.mks.models import Member
from knesset.committees.models import Committee
from knesset.mmm.models import Document, parse_json, text_lookup, verify
from datetime import datetime
import simplejson
import re
FP = open(PROJECT_ROOT + "/... | adamatan/Open-Knesset | src/knesset/mmm/tests.py | tests.py | py | 2,215 | python | en | code | null | github-code | 97 | [
{
"api_name": "knesset.settings.PROJECT_ROOT",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "simplejson.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
3286547792 | from thread import Thread
import os
import time
from .bluetoothctl import Bluetoothctl
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, GdkPixbuf
class Handler:
def __init__(self, builder, controller=None):
self.builder = builder
self.bluetooth = None
self.devices ... | adamcakg/configuration-tools-Raspberry-Pi | settings/bluetooth/handler.py | handler.py | py | 6,971 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "gi.require_version",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "thread.Thread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.ListStore",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "gi.reposi... |
30929318619 | from uuid import uuid4
from storm.locals import Not
from fluiddb.data.namespace import Namespace, createNamespace
from fluiddb.data.object import getDirtyObjects, DirtyObject
from fluiddb.data.permission import (
NamespacePermission, Operation, Policy, TagPermission, createTagPermission,
getTagPermissions)
fr... | fluidinfo/fluiddb | fluiddb/model/test/test_tag.py | test_tag.py | py | 21,389 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "fluiddb.data.permission.getTagPermissions",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "fluiddb.data.permission.Policy.CLOSED",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "fluiddb.data.permission.Policy",
"line_number": 31,
... |
13793066442 | #using async
import asyncio
import random
async def produce(cookiejar, n):
for x in range(1, n + 1):
# produce an item
print('producing {}/{}'.format(x, n))
# simulate i/o operation using sleep
print("<<producer waiting>>")
await asyncio.sleep(random.random())
... | Pratyush-Shanbhag/Advanced_Python | PC/PC3.py | PC3.py | py | 1,269 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "asyncio.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_n... |
38953308859 | import matplotlib.pyplot as plt
import matplotlib.lines as mline
import matplotlib
import os
import numpy as np
from scipy.interpolate import griddata
#Plot preamble
matplotlib.rcdefaults()
matplotlib.rc('font',**{'family':'serif','size':16})
os.environ['PATH'] = os.environ['PATH'] + ':/opt/local/bin'
os.environ['PAT... | Mylleranton/AccretionDisks | Old/force_vectors.py | force_vectors.py | py | 7,050 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.rcdefaults",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"... |
7705365067 | from bs4 import BeautifulSoup
import lxml
import pandas as pd
import re
df = pd.read_csv('react-native.csv')
print(df.head())
#content = df['body'].tolist()
###
### read body as a single string
###
content = df['body'].str.cat(sep=',')
print(len(content))
soup = BeautifulSoup(content, "lxml")
###
### remove ... | rudongsu/Emotion-SO | pre_processing.py | pre_processing.py | py | 1,047 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 32,
"usage_type": "call"
}
] |
34914782272 | import unittest
from mock import patch
from linotp.tokens.emailtoken import EmailTokenClass
from linotp.tokens.hmactoken import HmacTokenClass
from linotp.tokens.passwordtoken import PasswordTokenClass
from linotp.tokens.smstoken import SmsTokenClass
from linotp.tokens.totptoken import TimeHmacTokenClass
from linotp.... | LinOTP/LinOTP | linotp/tests/unit/tokens/challenge_token/test_challenge_prompt.py | test_challenge_prompt.py | py | 6,079 | python | en | code | 484 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "linotp.tokens.smstoken.SmsTokenClass",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 66,
"usage_type": "call"
},
{
"api_name":... |
73073512318 | import os
import torch
import numpy as np
from torch.nn import functional as F
from .model import CriticNet, Actor_1_Net, Actor_2_Net, Actor_3_Net
from .Image_model import CNN, Ray, Feature
from .replay_memory import Transition, Memory
class MultiDDPG_Agent:
def __init__(self, **config):
self.config = con... | ChouYuhao/my_algo | pycharm-unity/algorithm/HRL/Multi-DDPG_con/Brain/agent.py | agent.py | py | 8,931 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "replay_memory.Memory",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "model.Cr... |
4383080597 | """add age column into user table
Revision ID: eaf754b4cce2
Revises: 4c1ed9483d5e
Create Date: 2020-08-30 18:43:16.390626
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'eaf754b4cce2'
down_revision = '4c1ed9483d5e'
branch_labels = None
depends_on = None
def ... | antonLytkin18/otus-highload | app/app/migration/versions/eaf754b4cce2_add_age_column_into_user_table.py | eaf754b4cce2_add_age_column_into_user_table.py | py | 533 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "alembic.op.get_bind",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "alembic.op.get_bind",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"... |
22425125798 | # -*- coding: utf-8 -*-
# @Author: Nandadeep Davuluru
# @Date: 2019-03-10 11:38:34
# @Last Modified by: nandadeep
# @Last Modified time: 2019-03-12 20:42:22
import os, time
from kmp import KMP
from naive import NaiveStringMatch
from bm import BoyerMoore
from random import randint
from random import shuffle
from ma... | nandadeepd/string-matching | match-algorithms/driver.py | driver.py | py | 3,621 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "... |
43945591138 | import typing
import boto3
iot_client = boto3.client('iot')
def describe_thing(thing_name: str) -> dict:
thing = iot_client.describe_thing(thingName=thing_name)
thing.pop('ResponseMetadata', None)
return thing
def list_things_in_thing_group(thing_group_name: str, callback: typing.Callable[[str], None]... | nelsestu/thing-expert | cloud/src/baseline_cloud/core/aws/iot.py | iot.py | py | 1,332 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "boto3.client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 33,
"usage_type": "attribute"
}
] |
25616307732 | # coding: utf-8
"""
The functions below use OpenCV functions to detect edges in a given frame.
Sources:
- cv2.equalizeHist: improve the contrast of the frame
https://docs.opencv.org/3.2.0/d5/daf/tutorial_py_histogram_equalization.html
- cv2.Canny: edge detection.
https://docs.opencv.org/3.3.1/da/d22/tutorial_... | thayerAlshaabi/DeepEye | src/lane_detector/graphic_utils.py | graphic_utils.py | py | 5,620 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_nu... |
2231968261 | import json
import pytest
from model_bakery import baker
from rest_framework import status
from usaspending_api.accounts.models import TreasuryAppropriationAccount
from usaspending_api.common.tests.autocomplete import check_autocomplete
@pytest.fixture
def tas_data(db):
baker.make(TreasuryAppropriationAccount, ... | fedspendingtransparency/usaspending-api | usaspending_api/accounts/tests/integration/test_tas_autocomplete.py | test_tas_autocomplete.py | py | 1,784 | python | en | code | 265 | github-code | 97 | [
{
"api_name": "model_bakery.baker.make",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "usaspending_api.accounts.models.TreasuryAppropriationAccount",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "model_bakery.baker",
"line_number": 13,
"usage_t... |
28240071901 | import numpy as np
from flask import Flask, request, jsonify, render_template
import joblib # Use joblib for model loading
app = Flask(__name__)
model = joblib.load('model.pkl') # Load the trained model
@app.route('/')
def home():
return render_template('index.html')
@app.route('/predict', methods=['POST'])
de... | MayurGholap-4212/Deployed-ML-Model-for-Diabetes-Prediction | app.py | app.py | py | 2,642 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
... |
72789459518 | import torch
import seaborn as sns
import pandas as pd
from sklearn.metrics import confusion_matrix
import torchaudio
from dataset import audioDataset
from train import SAMPLE_RATE, NUM_SAMPLES
from sklearn.metrics import (ConfusionMatrixDisplay, classification_report,
confusion_matrix)
im... | arttuhaverinen/torch-cnn-audio-classification | test.py | test.py | py | 4,520 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "train.NUM_SAMPLES",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "train.SAMPLE_RATE",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_avail... |
12887327265 | from django.shortcuts import render
from apps.produtos.models import (
Produtos,
MovimentacaoProdutos,
MediaProduto
)
from django.http import JsonResponse
from apps.datatable.datatable import DataTableFilter, DataTableRaw
from django.contrib.auth.decorators import login_required
@login_required(login_url='... | hiagobury-hash/wmarket | apps/produtos/views.py | views.py | py | 9,072 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
... |
32503517419 | import matplotlib.pyplot as plt
import matplotlib.style
import csv
import numpy as np
import pandas as pd
import glob
import math
import re
matplotlib.style.use('ggplot')
class PlotStatistics:
def __init__(self):
pass
def plotReward(self, pathToCSV, numMovAvg):
data = pd.re... | mikkellars/pyludo | PlotStatistics.py | PlotStatistics.py | py | 6,583 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_na... |
20821495713 | import logging
from src.common.contracts import keeper_contract
from src.common.execution import check_gas_price
from src.common.ipfs import fetch_harvest_params
from src.common.tasks import BaseTask
from src.config.settings import settings
from src.harvest.execution import submit_harvest_transaction
logger = logging... | stakewise/v3-operator | src/harvest/tasks.py | tasks.py | py | 1,249 | python | en | code | 16 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "src.common.tasks.BaseTask",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.common.contracts.keeper_contract.can_harvest",
"line_number": 16,
"usage_type": "call"
... |
29367332537 | import os
import pathlib
from wand.image import Image as Wim
from spinorama import logger
def write_multiformat(chart, filename, force):
"""Write a png file and then convert and save to jpg and webp"""
if not pathlib.Path(filename).is_file() or force:
chart.write_image(filename)
if os.path.getsi... | pierreaubert/spinorama | src/spinorama/pict.py | pict.py | py | 880 | python | en | code | 72 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.getsize",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "spinorama.logger.warning",
... |
37004527647 | '''
Tools to calculate thermal simulations for LIFU experiments
ABOUT:
author - Samuel Pichardo
date - June 23, 2021
last update - Nov 27, 2021
'''
import numpy as np
import matplotlib.pyplot as plt
from scipy.io import loadmat,savemat
from BabelViscoFDTD.tools.RayleighAndBHTE impor... | ProteusMRIgHIFU/BabelBrain | IntegrationBrainsightUC/CalculateTemperatureEffects.py | CalculateTemperatureEffects.py | py | 12,716 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "platform.platform",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "BabelViscoFDTD.H5pySimple.ReadFromH5py",
"line_number": 46,
"usage_type": "call"
},
{
"api_name"... |
21805339040 | from sklearn import ensemble, preprocessing
from linear_regression_try1 import get_error, get_data, get_some_columns
def main():
print('working ...')
# #############################################################################
# Load data
train_df, test_df = get_data()
y_train = train_df['tri... | r2apu/Data_mining_coursework_repo | code/gradient_boosting.py | gradient_boosting.py | py | 1,401 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "linear_regression_try1.get_data",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "linear_regression_try1.get_some_columns",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 26,
"usage_... |
70648066878 | from sqlalchemy import create_engine, event
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlite3 import Connection as SQLite3Connection
__author__ = 'Alex Haslehurst'
class MediaContext:
Base = declarative_base()
def __init__(self, connection_string, e... | axle-h/media-persist | axh/media/persist/context.py | context.py | py | 1,025 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.event.listen",
"line_number": 14,
"usage_type": "call"
... |
36658978309 | from shapely.geometry import LineString, Point, Polygon
import math
def social_distance(frame_shape, a, b, c, d, min_iter=3, min_w=None, max_w=None):
h, w = frame_shape
A, B ,C ,D = Point(a), Point(b), Point(c), Point(d)
AB = get_line(A, B)
CD = get_line(C, D)
COEF = 1
minx = A.x if A.x < C.... | intel-iot-devkit/social-distance | libs/geodist.py | geodist.py | py | 7,136 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "shapely.geometry.Point",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Point",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Point",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "s... |
24073186546 | import os
import sys
from pathlib import Path
sys.path.append(os.path.abspath(Path(os.getcwd()) / ".."))
from flask import request, jsonify
from flask_cors import cross_origin
from . import device
from crud.device import get_device, create_device, update_device, delete_device
@device.route('/create_device', methods=["... | carlostrevisan1/IOT-Dashboard | back/app/device/views.py | views.py | py | 1,910 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
35094955773 | # Samujjwaal Dey
# Python Script to implement vector space model
# load dependency libraries
import math
import os
import copy
import re
from nltk.corpus import stopwords
from collections import Counter
from nltk.stem import PorterStemmer
import pickle
# number of webpages indexed
N = 6001
# extracting english stop... | samujjwaal/uic-search-engine | search_query.py | search_query.py | py | 5,398 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 22,
"usage_type": "call"
},
{
"api_nam... |
9542508667 | import asyncio
from datetime import datetime, timedelta
import numpy as np
import pandas_market_calendars as mcal
# Create a calendar
from pandas import DatetimeIndex
# nyse = mcal.get_calendar('NYSE')
# holidays = nyse.holidays()
# dt2021 = np.datetime64(datetime(2021,1 ,1))
# for holiday in holidays.holidays:
# ... | PGAndre/InvestAnalytics_bot | tgbot/misc/bdays.py | bdays.py | py | 1,856 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pandas_market_calendars.get_calendar",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.datetime64",
"line_number": 29,
"usage_type": "call"
},
{
"api_name... |
38095551250 | import sqlite3
from datetime import datetime
from dateutil.relativedelta import relativedelta
def get_db_connection():
conn = sqlite3.connect('expense_tracker.db')
conn.row_factory = sqlite3.Row
return conn
user_id = 1
with get_db_connection() as conn:
data = conn.execute("SELECT expenses.name, expens... | bluetude/expense_tracker | test.py | test.py | py | 1,034 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.today",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
12843103661 | from collections import deque
def getEnergy(e, result):
global M
if len(e) == 2:
# print(result)
if M < result:
M = result
return 0
for i in range(1, len(e)-1):
c = e.copy()
result += c[i-1]*c[i+1]
del c[i]
# print(c)
# print(resul... | jokh0108/study-algorithm | practice/baekjoon/baekjoon-16198.py | baekjoon-16198.py | py | 651 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "call"
}
] |
38227560304 | import bpy
import random
from math import sqrt
L1=[] #hold list
L2=[] #main list
BallNumber=40
for i in range(3):
x=random.randrange(0,16)
L2.append(x)
while len(L2) < 3*BallNumber:
for i in range(3):
#coordinates
x=random.randrange(0,16)
L1.append(x)
for i in rang... | batuhantosn/100Balls_for_Blender | 100balls.py | 100balls.py | py | 790 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "random.randrange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bpy.ops.mesh.primitive_uv... |
26146194689 | import torch
from torch.distributions.categorical import Categorical
import torch.nn as nn
import numpy as np
from edm.egnn.models import EGNN_dynamics
from edm.equivariant_diffusion.en_diffusion import EnVariationalDiffusion
from edm.egnn.egnn_new import EGNN, GNN
from edm.equivariant_diffusion.utils import remove_me... | tomer196/GaUDI | models_edm.py | models_edm.py | py | 7,732 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "torch.nn.DataParallel",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "utils.helpers.analyzed_rings",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "torc... |
26684549806 | import time
import requests
def main():
now = int(time.time()) * 1000
while now > 0:
print(now)
r = requests.get("http://127.0.0.1:8000/chain/blocks/{}".format(now))
print(r.json())
now -= 24 * 60 * 60 * 1000
main() | lingyong/pupu_block | script.py | script.py | py | 272 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
}
] |
75014960317 | # import views
import requests
import json
import ast
# from Management.real_time_data.writeLogs import logsWrite
from datetime import date
class Bonanza_API_RESPONSE:
def __init__(self,apiClientId, accessToken, strategy, name, trading_symbol, broker):
execution_date = date.today()
# logs = logsWr... | Algoptions/Website_Streaming_Real_Time | bonanza_api_response.py | bonanza_api_response.py | py | 15,801 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.date.today",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
... |
70224080319 | from setuptools import setup
from setuptools import find_packages
import subprocess
import os
# gst_remote_version = (
# subprocess.run(["git", "describe", "--tags"], stdout=subprocess.PIPE)
# .stdout.decode("utf-8")
# .strip()
# )
# if "-" in gst_remote_version:
# # when not on tag, git describe outp... | tomytw/gst-calculation | setup.py | setup.py | py | 1,664 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 41,
"usage_type": "call"
}
] |
11576180871 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import _env
import re
from async_spider import AsySpider
from bs4 import BeautifulSoup
from lib._db import get_collection
from tornado import gen
from config.config import CONFIG
from html2text import html2text
DB = CONFIG.MONGO.DATABASE
class CategorySpider(AsySpider):
... | PegasusWang/pyhome | crawler/ahlinux/ahlinux.py | ahlinux.py | py | 2,712 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "config.config.CONFIG.MONGO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "config.config.CONFIG",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "async_spider.AsySpider",
"line_number": 15,
"usage_type": "name"
},
{
"api_n... |
29398178733 | import json
import time
from spiderfoot import SpiderFootEvent, SpiderFootPlugin
class sfp_hybrid_analysis(SpiderFootPlugin):
meta = {
'name': "Hybrid Analysis",
'summary': "Search Hybrid Analysis for domains and URLs related to the target.",
'flags': ["apikey"],
'useCases': ["Fo... | smicallef/spiderfoot | modules/sfp_hybrid_analysis.py | sfp_hybrid_analysis.py | py | 8,938 | python | en | code | 10,704 | github-code | 97 | [
{
"api_name": "spiderfoot.SpiderFootPlugin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"l... |
11731896980 | import datetime
import re
import htmlentitydefs
import urllib
from pyramid.security import authenticated_userid
from pyramid.traversal import resource_path
from repoze.lemonade.content import create_content
from karl.models.interfaces import IContainerVersion
from karl.models.interfaces import IObjectVersion
from rep... | karlproject/karl | karl/content/models/wiki.py | wiki.py | py | 7,940 | python | en | code | 48 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "repoze.folder.Folder",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "zope.interface.implements",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "karl.conten... |
8588572797 | import os
from discord.ext import commands
from dotenv import load_dotenv
import core
import numpy as np
import datetime
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
class CustomBot(commands.Bot):
def __init__(self):
"""
CustomClient constructor. Serves to initialize the command prefix.
... | Shrecki/Polling-Bot | bot.py | bot.py | py | 9,541 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.... |
74104373119 | import re
import sys
import argparse
import subprocess
DOT_CMD = 'dot'
def pd2dot(pd):
connections = []
index = 0
out = ['digraph _ {']
for line in pd.splitlines():
if line.startswith('#X connect'):
parts = line.split()
a = parts[2]
b = parts[4]
connections.append((a, b))
out.append(f' {b} -> {... | xi/xipd | xipd/format.py | format.py | py | 1,773 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "re.match",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
... |
25892837045 | '''
This file takes all the excel files ending in '.xls' from it's parent directory
and copy/pastes values in column B of each file to remove the formulas so it can
be uploaded to the small package file upload on the Portal.
'''
import xlwings as xw
import os
def get_file_list():
path = os.path... | egood13/Python | rs_xlformatter.py | rs_xlformatter.py | py | 1,279 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "xlwings.Range",
"line_num... |
8282413103 | import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.pipeline import make_pipeline
from sklearn.svm import SVC
from sklearn.model_selection import GridSearchCV, validation_curve
from sklearn.model_selection import t... | ds5110/faces | src/zw_svc_landmarks.py | zw_svc_landmarks.py | py | 5,571 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 22,
"usage_type": "call"
},
{
... |
23942662315 | # config/database.py
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
# Base de datos sql relacional - ubicaciones
engine_ubicaciones = create_engine('sqlite:///db/ubicaciones.db')
session_ubicaciones = sessio... | pepeul1191/gestion-swp | config/database.py | database.py | py | 570 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 9,
"usage_type": "call"
... |
5389963701 | import os
import time
import math
import imaplib
import email
from bs4 import BeautifulSoup
import urllib
from urllib.request import urlopen
import re
import parser
import json
from datetime import datetime
import os
import requests
from dotenv import dotenv_values
from mailer import sendEmail
import mysql.connector
fr... | brown-bytes/brown-bytes-v2 | scraper/scraper.py | scraper.py | py | 7,409 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 57,
"usage_type": "attribute"
},
{
... |
40070342120 | from tensorflow.examples.tutorials.mnist import input_data
from scipy.misc import imshow
import tensorflow as tf
import numpy as np
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32, shape=[None, 784])
y_ = tf.placeholder(tf.float32, shape=[None... | vernwalrahul/Learning_Tensorflow | predict_digit.py | predict_digit.py | py | 1,257 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tensorflow.InteractiveSession",
"l... |
26867762942 | import re, sys
import ReDebug
from PyQt5.QtWidgets import (QApplication, QWidget,)
from PyQt5.QtGui import QIcon
class Ui_main(QWidget, ReDebug.Ui_Form):
def __init__(self):
super().__init__()
self.setupUi(self)
self.initialize()
def initialize(self):
self.signal_binding() # 进... | XwAdmin/CodeTest | Python_QT/正则调试工具/re_main.pyw | re_main.pyw | pyw | 3,710 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "ReDebug.Ui_Form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",... |
14089872937 | """
Challenges API resources
"""
import random
from flask import url_for, Response, request
from flask_apispec import MethodResource, doc
from flask_login import login_required, current_user
from flask_restful import Resource, abort
from sqlalchemy.orm import load_only, joinedload
from werkzeug import exceptions
from... | narcosita/pyxword-contest | pyxword_contest/contest/resources/challenges.py | challenges.py | py | 4,507 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask_restful.Resource",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "flask_apispec.MethodResource",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "flask_login.login_required",
"line_number": 30,
"usage_type": "name"
},
{
"ap... |
20681526978 | import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib as mpl
import numpy as np
from six import string_types
def contour_plot(x, y, z, shade=False, legend=True, shade_lowest=True,
cbar=False, cbar_ax=None, cbar_kws=None, ax=None, **kwargs):
"""Plot a contour.
Parameters
... | PrasadBabarendaGamage/vis | vis/seaborn.py | seaborn.py | py | 5,308 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.gca",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 110,
"usage_type": "name"
},
{
"api_name": "numpy.asarray",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "numpy.float6... |
14209577938 | import msal
import requests
import pandas as pd
from pathlib import Path
def get_access_token():
app_id = '*********************************************'
pbi_tenant_id = '*********************************************'
app_secret = '*********************************************'
authority_url... | SharmaAntriksh/Power-BI-Automation | Python/Refresh History.py | Refresh History.py | py | 4,153 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "msal.ConfidentialClientApplication",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "requests... |
28419788108 | import random
import pygame
import words
def main():
width, height = 435, 570
pygame.init()
surface = pygame.display.set_mode((width, height))
pygame.display.set_caption('Wordle Clone')
game = Game(surface)
game.play()
pygame.quit()
class Game():
def __init__(self, su... | FaiyadRahman/WordleClone | wordle.py | wordle.py | py | 3,613 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 8,
"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.display.s... |
74582375679 |
import requests
from bs4 import BeautifulSoup as bs
import pandas as pd
from time import sleep
from selenium import webdriver
url = 'https://www.usquidditch.org/teams'
#open selenium - use your own info for PATH
PATH = (r"C:\\Users\\Gustavo\\Desktop\\scoutfy\\Team USA\\chromedriver.exe")
driver = webd... | gustavo1046/WebCrawler---Python | mining.py | mining.py | py | 2,893 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.Beautiful... |
10755593682 | #!/usr/bin/env python3
"""
SfM point filtering
"""
import sys
import time
import numpy
import glob
from termcolor import colored
import pylab as plt
from PointFiltering import LazData, VegetationIndices, Filter, Grid, PlotTools
from PointFiltering.Helpers import saveimg, savergb
def run(filter, **kwargs):
""" Run... | niels-anders/sfm-point-filtering | main.py | main.py | py | 7,245 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "PointFiltering.Filter.FILTERS",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "PointFiltering.Filter",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "Po... |
8065332827 | import requests
from bs4 import BeautifulSoup
import pandas as pd
url = 'https://exame.com/brasil/as-50-melhores-escolas-de-cada-estado-do-brasil-no-enem/'
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
table = soup.find('table')
data = []
for row in table.find_all('t... | Renan1404/Trabalho-ciencia-de-dados-P1-da-Alessandra | Raspagem das 5 melhores escolas do país.py | Raspagem das 5 melhores escolas do país.py | py | 695 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
}
] |
33444484807 | import math
import tensorflow as tf
import tensorflow_datasets as tfds
import matplotlib.pyplot as plt
def plot_image_examples(images : tf.Tensor, n=9):
rows = int(math.sqrt(n))
fig, axs = plt.subplots(rows, math.ceil(n / rows))
for i in range(n):
axs[i // rows, i % rows].imshow(images[i], cmap="g... | Henrbfe/tdt05-miniproject | src/visualisations.py | visualisations.py | py | 709 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tensorflow.Tensor",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
23732834332 | #---------------------------------------------------------------
#
# This script contains the functions to
# receive a new pattern and modify
# according the existent rule base.
#
# To avoid unnecessary processing,
# the function " intersected_connected_sets "
# find which of the original connected sets
# ... | ivan-paz/InferenceRules | new_instance.py | new_instance.py | py | 8,483 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 149,
"usage_type": "call"
}
] |
622546647 | # Name: Gerardo Palacios
# Date: 11/26/2020
# Honor Statement: I have not given or received any unauthorized assistance on this assignment
# YouTube Link: https://youtu.be/DXaabepMEvw
import random
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
class SixSidedDie:
"""A simulation of a six... | gpala7077/Simulation_Analysis | BattleForCrymland.py | BattleForCrymland.py | py | 24,182 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
15454114501 | import json
import logging
import boto3
from abc import ABC, abstractmethod
from django.conf import settings
logger = logging.getLogger(__name__)
class AWSBatchClient(ABC):
def __init__(self):
self.client = boto3.client("batch", region_name=settings.AWS_REGION_NAME)
@abstractmethod
def ge... | NREL/engage | calliope_app/batch/managers.py | managers.py | py | 2,703 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "abc.ABC",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "boto3.client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.AWS_REGION... |
39699759691 | from django.shortcuts import render, redirect
from .models import Book, Author
def index(request):
context = {
"books_table" : Book.objects.all()
}
return render(request, 'books_authors_app/addbook.html', context)
def add_book(request):
if request.method == 'POST':
Book.objects... | codingdojotulsajanuary2019/michael_s | python_stack/django/django_orm/books_authors_proj/apps/books_authors_app/views.py | views.py | py | 2,660 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.Book.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Book.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Book",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.shor... |
22111842934 | """
https://leetcode.com/problems/cousins-in-binary-tree/
"""
from typing import Optional
from utils import TreeNode
class Solution:
def isCousins(self, root: Optional[TreeNode], x: int, y: int) -> bool:
level = [root]
while True:
newLevel = []
vals = set()
... | kangxie-colorado/leetcode-and-notes | previous_run/281.993.cousinsInBinaryTree.py | 281.993.cousinsInBinaryTree.py | py | 1,606 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.TreeNode",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "utils.TreeNode",
"... |
29511008052 | from django import template
from django.utils.safestring import mark_safe
from django.utils.html import format_html
from django.utils.safestring import mark_safe
from django.contrib.staticfiles.storage import staticfiles_storage
register = template.Library()
@register.simple_tag
def vertical_bar(value, max_value, d... | gpodder/mygpo | mygpo/web/templatetags/charts.py | charts.py | py | 2,330 | python | en | code | 257 | github-code | 97 | [
{
"api_name": "django.template.Library",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.utils.html.format_html",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "d... |
73029823999 | #! -*- coding:utf-8 -*-
import re
import gc
import codecs
import random
import warnings
import pandas as pd
from sklearn.metrics import f1_score
from nltk.metrics.distance import jaccard_distance
from sklearn.model_selection import StratifiedKFold
from keras.layers import *
from keras.callbacks import *
f... | rebornZH/2019-CCF-BDCI-NLP | baseline.py | baseline.py | py | 8,905 | python | en | code | 113 | github-code | 97 | [
{
"api_name": "keras.backend.tensorflow_backend.set_session",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "keras_bert.Tokenizer",
"line_number": 55,
"usage_type": "name"
},
{
"api_na... |
74950309757 | import discord
import time
import asyncio
import traceback
import aiohttp
import aiofiles
import math
import humecord
from humecord.utils import (
dateutils,
discordutils,
hcutils,
miscutils,
components
)
class DevCommand:
def __init__(self):
self.name = "dev"
self.descriptio... | humeman/humecord | humecord/trash/msg_commands/_dev.py | _dev.py | py | 41,529 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "humecord.utils.exceptions.TestException",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "humecord.utils",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "humecord.utils.discordutils.create_embed",
"line_number": 90,
"usage_type": "... |
72612454078 | import sys
sys.path.append("E:\PythonGUI-ManageEmployee\Pyqt5")
from PyQt5.QtWebEngineWidgets import QWebEngineView
from Algorithm.Cluster.Brute_Force import Brute_Force_Cluster
from Algorithm.Cluster.Randomized_Tour import Randomized_Tour_Cluster
from Process_Data.PyQT5_ProcessData import Process_Data_Small
from Proc... | NguyenKhoaTruong/tms | Map_/PyQT5_Map_Cluster.py | PyQT5_Map_Cluster.py | py | 10,817 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_... |
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