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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34137846255 | import time
from selenium import webdriver
import os
import requests
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.common.exceptions import NoSuchElementException
# Set the path to the ChromeDriver executable
chrome_driver_path = r"C:\Users\Tahsin\Deskt... | tahsinsoyak/trendyol-scrapping | scrapper.py | scrapper.py | py | 4,402 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 19,
"usage_type": "name"
},
{... |
36630542653 | from rest_framework.serializers import ModelSerializer
from apps.recipe.models.biscuit_recipe import BiscuitRecipe
from api.biscuit.serializers.biscuit import BiscuitModelSerializer
from api.product.serializers.product import ProductModelSerializer
class BiscuitRecipeSerializer(ModelSerializer):
class Meta:
... | Aziz0507/beckend | api/recipe/serializers/biscuit_recipe.py | biscuit_recipe.py | py | 839 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "apps.recipe.models.biscuit_recipe.BiscuitRecipe",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_... |
10251740913 | """
Author: Aaron Hakrider
Date: 9/27/18
Worked with Joy Shaffer for assistance
"""
from LFSR_LAB import lfsr
import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument("n_bits", type=int, help="number of bits")
args = parser.parse_args()
# call my program
output = my_pr... | awharkrider/CPSC_3320_Cybersecurity_Lab | LFSR_LAB/lab_program.py | lab_program.py | py | 1,053 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "LFSR_LAB.lfsr.LFSR",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "LFSR_LAB.lfsr",
"line_number": 34,
"usage_type": "name"
}
] |
75383217959 | import openai
import chromadb
from dotenv import load_dotenv
from .variables import OPENAI_API_KEY
from langchain.vectorstores import Chroma
from langchain.docstore.document import Document
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
lo... | ganiyuolalekan/fastdoc_app | modules/vector_db_funcs.py | vector_db_funcs.py | py | 6,276 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "variables.OPENAI_API_KEY",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "chrom... |
3422067705 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
### chi-squared distribution and test
import numpy as np
# In[2]:
data1 = np.random.chisquare(df = 1,size = 1000)
data2 = np.random.chisquare(df = 2,size = 1000)
data3 = np.random.chisquare(df = 3,size = 1000)
# In[3]:
print(data1[:10])
# In[4]:
import matpl... | Ayiekoo/z-t-tests | chi_squared test.py | chi_squared test.py | py | 1,159 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.chisquare",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.chisquare",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy... |
39804828727 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import os
import json
import csv
from pathlib import Path
cwd_path = Path.cwd()
if os.path.exists(cwd_path / "metadata_config.py"):
try:
from metadata_config import *
except ModuleNotFoundError:
print("Please make sure to create a file called me... | zakhikhan/chia-nft-minting-helper | generate_metadata.py | generate_metadata.py | py | 2,850 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
41767964002 | """ theme file """
import ptah
import sqlalchemy as sqla
from pyramid.threadlocal import get_current_registry
from permissions import AddThemeFile
ThemeFileSchema = ptah.form.Fieldset(
ptah.form.TextField(
'version',
title = u'Version'),
ptah.form.FileField(
'data',
title =... | cleder/ploud.themegallery | ploud/themegallery/themefile.py | themefile.py | py | 1,362 | python | en | code | null | github-code | 18 | [
{
"api_name": "ptah.form.Fieldset",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ptah.form",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "ptah.form.TextField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ptah.form",
... |
36519676990 | from random import choice, random, sample
import numpy as np
import networkx as nx
class ArmBaseStruct(object):
def __init__(self, armID):
self.armID = armID
self.totalReward = 0.0
self.numPlayed = 0
self.averageReward = 0.0
self.p_max = 1
def update... | HCDM/BanditLib | OnlineInfluenceMaximization/BanditAlg/greedy.py | greedy.py | py | 2,237 | python | en | code | 314 | github-code | 18 | [
{
"api_name": "random.random",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "networkx.DiGraph",
"line_number": 42,
"usage_type": "call"
}
] |
25869805589 | from json import loads
from functools import cmp_to_key
from math import prod
def comp(left, right):
left, right = left[::-1], right[::-1]
while left and right:
a, b = left.pop(), right.pop()
if isinstance(a, int) and isinstance(b, int):
if a != b:
return -1 if a < ... | alexcsf/aoc2022 | day13/main.py | main.py | py | 1,277 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 36,
"usage_type": "call"
}
] |
7570106980 | from django.contrib import admin
from .models import Product
# enable tax
@admin.action(description='tax on')
def tax_status_on(modeladmin, request, queryset):
queryset.update(tax_status=True)
# disable tax
@admin.action(description='tax off')
def tax_status_off(modeladmin, request, queryset):
queryset.upda... | hanifeh/CRM | product/admin.py | admin.py | py | 926 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.contrib.admin.action",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.action",
"line_number": 12,
"usage_type": "call"
},
{
"api_na... |
4916303448 | import re, email.utils
n = int(input())
format_emaildata=[]
emaildata = [input() for _ in range(n)]
for i in emaildata:
x = email.utils.parseaddr(i)
format_emaildata.append(x)
pattern = re.compile(r'(^[a-zA-Z][a-zA-Z0-9\-+._]+@[a-z]+\.[a-z]+$)')
print('\n')
for i in format_emaildata:
match = pattern.search(i[1])
... | reachabhi/python | practice_exercises/regex/hackerrank_5_emailaddress.py | hackerrank_5_emailaddress.py | py | 382 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "email.utils.utils.parseaddr",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "email.utils.utils",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "email.utils",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "re.compil... |
27032135766 | from pyramid.response import Response
from pyramid.view import view_config
from sqlalchemy.exc import DBAPIError
from sqlalchemy import func
from ..models.mymodel import TblPatient
from collections import OrderedDict
import logging
log = logging.getLogger(__name__)
@view_config(route_name='home', renderer='../templ... | muhakbaryasin/kamdabase3 | kamdabase3/views/default.py | default.py | py | 1,846 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mod... |
21892040894 | #!/usr/bin/python
import os, sys, socket, getpass
from lib import fstab, ping, sge, network, hosts, nodelist
# Make sure the script is being run as root
whoami = getpass.getuser()
if whoami != 'root':
print('This script must be run as root')
sys.exit()
else:
print('Running as root... OK')
# Get the na... | wilsonmichaelc/sge-admin-tools | add_node.py | add_node.py | py | 1,952 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "getpass.getuser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lib.ping.host_alive",
... |
71547748199 | #%%
# Carl Klier - Graph Coloring Annealing for Network Science Final Exam
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import random
import math
import json
import sys
# nodes = ['a', 'b', 'c']
# edges = [('a', 'b'), ('a', 'c'), ('b', 'c')]
# nodes = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h... | carlklier/GraphColoringMonteCarloAnnealing | annealing.py | annealing.py | py | 2,808 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"... |
41861557074 | #from msilib.schema import Error
import requests
from bs4 import BeautifulSoup
import re
import json
from openpyxl import load_workbook
from datetime import datetime
import time
from telegram import Bot
import logging
import os
try:
import config
except:
pass
try:
token = os.environ.get('TOKEN')
except:
... | sziyan/lenovo-tools | warranty.py | warranty.py | py | 10,023 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "telegram.Bot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
... |
8383396030 | import time
import json
import re
import urllib2
import bleach
import html5lib
import webapp2
from lib import markdown
from google.appengine.api import channel
from google.appengine.ext import ndb
from google.appengine.api import urlfetch
from lib.github import github
import config
import web.forms as forms
from w... | kordless/stackmonkey-site | web/handlers/projecthandlers.py | projecthandlers.py | py | 15,975 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "web.basehandler.BaseHandler",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "web.models.models.User.get_by_id",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "web.models.models.User",
"line_number": 30,
"usage_type": "name"
},
{
... |
74588139238 | import numpy as np
import matplotlib.pyplot as plt
###################Calcul et tracé de la fonction##############################
t=np.linspace(0,0.2,1000)
xi_d=0.2
w0_d=204
K_d=2
s=K_d*(1-np.exp(-w0_d*xi_d*t)/np.sqrt(1-xi_d**2)*np.cos(w0_d*np.sqrt(1-xi_d**2)*t\
-... | Costadoat/Informatique | DS/Annees_precedentes/2019-2020/DS01/DS01.py | DS01.py | py | 2,014 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 9,
... |
213879556 | import sys
sys.path.append('/Users/admin/Documents/Diploma/tcn/')
import argparse
import tensorflow as tf
import numpy as np
from tf_version.model import TCN
from utils import data_generator, get_logger
logger = get_logger("music_test_tensorflow")
parser = argparse.ArgumentParser(description='Sequence Modeling - Po... | oshyshkin/tcn | tf_version/music_test.py | music_test.py | py | 5,456 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "utils.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser"... |
2466832564 | import mysql.connector
import datetime
from tabulate import tabulate
con=mysql.connector.connect(host="localhost",
user="root",
password="87654321",
database="practice")
cur=con.cursor()
def menu():
print('~'*120)
pr... | archanadby05/Hotel-management-system | Hotel Py MSI.py | Hotel Py MSI.py | py | 10,443 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 4,
"usage_type": "name"
},
{
"api... |
25365196565 | from asyncio import run
from re import findall
from traceback import format_exc
from discord import Embed
from discord.ext.commands import Cog
from discord.ext.tasks import loop
from discord_components_mirror import Button, ButtonStyle
from pymongo import DESCENDING
from mlpbots import DB, logs, FOOTER
async def pa... | JackieWaltRyan/mlpbots | modules/game.py | game.py | py | 11,078 | python | ru | code | 2 | github-code | 18 | [
{
"api_name": "mlpbots.DB",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "mlpbots.DB",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "discord_components_mirror.Button"... |
19734628520 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('MyPlan', '0006_sprints'),
]
operations = [
migrations.AlterField(
model_name='singl... | waldemar-m/Django | DIX/MyPlan/migrations/0007_auto_20180113_1556.py | 0007_auto_20180113_1556.py | py | 446 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
25217176702 | # https://leetcode.com/problems/best-meeting-point/
# tags: #google, #math, #matrix
#
# Manhattan distance: (p1, p2) = |p2.x - p1.x| + |p2.y - p1.y|
# The optimal point is the mean
# For example, 1-1-0-0-1, the optimal point is at x = 1, and assume the total distance is d
# If we move the point to the right, x = 2, the... | ronelzb/leetcode | numbers/0296_best_meeting_point.py | 0296_best_meeting_point.py | py | 1,532 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
}
] |
32011048861 | #!/usr/bin/env python3
import os
import pickle
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from inimotif_core import KmerCounter, MotifManager, save_figure
from yattag import Doc,indent
import numpy as np
class FileProcessor:
def __init__(self, file_name=None, file_type="fasta", out_dir... | chengl7/IniMotif | inimotif_main.py | inimotif_main.py | py | 23,459 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "inimotif_core.KmerCounter",... |
23268357774 | import json
import pickle
from os import listdir
from os.path import isfile, join
import argparse
import pandas as pd
import nltk
import xml.etree.ElementTree as ET
import shlex,subprocess
import re
resturl = "http://localhost:2222/rest/annotate"
def run_fp(speaker,sentence):
first_person = ['I','me','Me','We','... | MathildaSu/Entity-Assisted-BERT | preprocess/preprocess_all.py | preprocess_all.py | py | 4,077 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.pos_tag",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "shlex.split",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line... |
22107192376 | '''
Code for studying newton's laws using sr04 sensor
Logs data from various sensors.
Author : Jithin B.P, jithinbp@gmail.com
Date : Sep-2019
License : GNU GPL version 3
'''
import sys,time
t = time.time()
from utils import *
from PyQt5 import QtGui, QtCore, QtWidgets
import pyqtgraph as pg
import math, os.path,... | expeyes/expeyes-programs | eyes17/newtons_laws.py | newtons_laws.py | py | 9,284 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_numb... |
2473700137 | from PIL import Image
from pytesseract import pytesseract
path_to_tesseract = '/opt/homebrew/Cellar/tesseract/5.2.0/bin/tesseract'
path_to_image = 'data/sampleText1.png'
pytesseract.tesseract_cmd = path_to_tesseract
img = Image.open(path_to_image)
text = pytesseract.image_to_string(img)
print()
print(text) | RochanVanam/TextRecognition | TextRecognition.py | TextRecognition.py | py | 311 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytesseract.pytesseract.tesseract_cmd",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pytesseract.pytesseract",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"ap... |
6395636677 | """empty message
Revision ID: 3e7face35638
Revises: e8f7da151d15
Create Date: 2017-04-26 02:22:03.258321
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3e7face35638'
down_revision = 'e8f7da151d15'
branch_labels = None
depends_on = None
def upgrade():
# ... | openirc/api | migrations/versions/3e7face35638_.py | 3e7face35638_.py | py | 922 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
41178442433 |
from __future__ import print_function
import os, sys, re, string
from collections import defaultdict
import itertools
import numpy as np
try:
from word2keypress.weight_matrix import WEIGHT_MATRIX
from word2keypress import Keyboard
except ImportError:
from weight_matrix import WEIGHT_MATRIX
import pyxim... | rchatterjee/word2keypress | src/word2keypress/weighted_edist.py | weighted_edist.py | py | 17,555 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pyximport.install",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "_keyboard.Keyboard",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "string.printable",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.di... |
75133723559 | #!/usr/bin/env python3
"""
This script is designed as a sandbox for testing different
ensembling and post-processing steps.
Edit to create the ensembles / weights / post-processing
pipelines you want to try, then run to produce results for each.
"""
import numpy as np
import pandas as pd
import sys, os
import csv
from... | jcausey-astate/ai_campus_kits19 | ensemble_unet_multiple_tests_with_post_process.py | ensemble_unet_multiple_tests_with_post_process.py | py | 10,478 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "numpy.argmax",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 98,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
3580931133 | #!/usr/bin/env python
import os
from alembic.config import Config
from alembic import command
from explicates.core import db, create_app
from explicates.model.collection import Collection
app = create_app()
def db_create():
"""Create the db"""
with app.app_context():
db.create_all()
here =... | alexandermendes/explicates | bin/db_create.py | db_create.py | py | 859 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "explicates.core.create_app",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "explicates.core.db.create_all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "explicates.core.db",
"line_number": 17,
"usage_type": "name"
},
{
"api_n... |
12369123469 | #!/usr/local/bin/python3
from turtle import color
from dwave.system.samplers import DWaveSampler
from dwave.system.samplers.dwave_sampler import DWaveSampler
import dwave_networkx as dnx
import networkx as nx
import neal
import datetime
import sys
import numpy as np
from sympy import ask
from Qubo.import_data import ... | NielsenErik/QUBO_and_QALS_for_Feature_Selection | OLD/OLD_04-05-22/start.py | start.py | py | 11,928 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Qubo.colors.colors.BOLD",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "Qubo.colors.colors",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "Qubo.colors.colors.HEADER",
"line_number": 26,
"usage_type": "attribute"
},
{
"ap... |
5867721655 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from .models import *
from .forms import *
def home(request):
orders = Order.objects.all()
customers = Customer.objects.all()
total_orders = orders.count()
pending_orders = orders.filter(status='pending').count()
... | bryan-menendez/ivy-django | accounting/views.py | views.py | py | 2,591 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 40,
"usage_type": "call"
},
{
"api_name"... |
75003727401 | import configparser
from datetime import datetime
import os
from pyspark.sql import SparkSession
from pyspark.sql.functions import udf, col
from pyspark.sql.functions import year, month, dayofmonth, hour, weekofyear, date_format
from sql_queries import songs_table_query, artists_table_query, log_filtered_query, users_q... | BLUEBAYcreater/Data-Lakes-with-Spark-Nanodegree-Project | etl.py | etl.py | py | 4,619 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.... |
10354603824 | from django.core.management.base import BaseCommand
from cities.models import City, Distance
class Command(BaseCommand):
help = 'Create A B C Cities'
def handle(self, *args, **options):
if City.objects.all():
return None
A = City.objects.create(name='Ciudad A')
B = City.ob... | Deathpandk/eiya-joseph-test | src/cities/management/commands/create_test_cities.py | create_test_cities.py | py | 804 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "cities.models.City.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cities.models.City.objects",
"line_number": 9,
"usage_type": "attrib... |
70559150441 | ### Importing libraries
import pandas as pd
import numpy as np
from datetime import datetime
from lightgbm import LGBMRegressor
# import gresearch_crypto
import traceback
import time
from datetime import datetime
import matplotlib.pyplot as plt
import plotly.graph_objects as go
from sklearn.model_selection import GridS... | axjing/G-Research.axj | utils/preprocess.py | preprocess.py | py | 7,713 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
9179203016 | from django.urls import path
from polls import views
app_name = 'polls'
urlpatterns = [
path('',views.index, name='index'),
# path('test1',views.test1, name='test1'),
path('<int:question_id>/',views.detail, name='detail'), #/polls/5/
path('<int:question_id>/vote/', views.vote, name='vote'), #/polls/5/v... | oggong/django_study | Django/pjt_Django/myDjangoSite/polls/urls.py | urls.py | py | 553 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "polls.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "polls.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
27246173757 | from django.urls import path
from .views import PostListView, PostCreateView, PostDeleteView, PostUpdateView, LikeView, RateView
app_name = "posts"
urlpatterns = [
path("", PostListView.as_view(), name="list"),
path("share/", PostCreateView.as_view(), name="share"),
path("delete/<int:post_id>/", PostDelet... | seymaozukanar/hipogram | hipogram/posts/urls.py | urls.py | py | 563 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.PostListView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.PostListView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.ur... |
18890294103 | import numpy as np
from matplotlib import pyplot as plt
import math
from scipy import optimize
import utils
#================================== Storing Data ======================================
data = np.array(np.loadtxt('C:/Users/Kartikaeya/Desktop/ex2data1.txt',delimiter=','))
X,y = data[:,(0,1)],data[:,2]
... | Kartikaeya/Learning-Content | Kartikaeya_180108017/ML_Week3.py | ML_Week3.py | py | 6,520 | python | en | code | null | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
... |
8074137663 | from termcolor import colored
import sys
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib._png import read_png
from matplotlib.cbook import get_sample_data
import os
import numpy as np
from PIL import Image
import scipy.cluster as cluster
from sklearn.svm import OneClassSVM
f... | RoboticsIIITH/LiDAR_small_obstacle | lidr_clustering_orig.py | lidr_clustering_orig.py | py | 10,683 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
45630039944 | from flask import Flask, flash, request, redirect, url_for, render_template, jsonify
import numpy as np
import pandas as pd
import os
from pathlib import Path
import pathlib
import sys
# sys.path.insert(1, 'D:\email2faq\email-2-faq\email2faq')
temp = pathlib.Path(__file__).parent.resolve()
print("temp is :", temp)
pat... | IEEE-NITK/email-2-faq | email2faq/web/app.py | app.py | py | 2,226 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line... |
620615625 | # -*- coding: UTF-8 -*-
import logging.config
# ログ設定ファイルからログ設定を読み込み
logging.config.fileConfig('/var/www/html/MyWeb/FaceMOD/logging.conf', disable_existing_loggers=False)
logger = logging.getLogger()
logger.debug('face_auth.py 呼び出し')
try:
import sys, codecs, io
import cv2
import numpy as np
import os
... | TomiyamaSatoshi/FaceAuthApp | face_auth.py | face_auth.py | py | 4,968 | python | ja | code | 0 | github-code | 18 | [
{
"api_name": "logging.config.config.fileConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.config.config",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.config",
"line_number": 5,
"usage_type": "name"
},
{
"api_name"... |
11149232510 | from flask import render_template
from jwt import encode
from uuid import uuid4
from flask import Flask
from flask import request
from flask import make_response
import redis
import datetime
app = Flask(__name__)
db = redis.Redis(host='client_redis', port=6381, decode_responses=True)
JWT_SECREATE_DATABASE = "SECRE... | ivanprokopets/Web-application | Aplikacja_Webowa_Etap_2/client/main.py | main.py | py | 3,792 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.make_response",
... |
5396942063 | # coding: utf-8
"""
WEX REST APIs
Authentication methods - Basic Auth - JSON Web Token - [POST /api/v1/usermgmt/login](#!/User/signinUser) - [POST /api/v1/usermgmt/logout](#!/User/doLogout) - Python client sample [Download](/docs/wex-python-api.zip)
OpenAPI spec version: 12.0.2.417
Generate... | adam725417/Walsin | wex-python-api/ibmwex/models/field.py | field.py | py | 4,314 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "six.iteritems",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 160,
"usage_type": "call"
}
] |
19348333682 | import requests
from os import environ as env
from bs4 import BeautifulSoup as bs
import sys
import re
ERP_HOMEPAGE_URL = 'https://erp.iitkgp.ac.in/IIT_ERP3/welcome.jsp'
ERP_LOGIN_URL = 'https://erp.iitkgp.ac.in/SSOAdministration/auth.htm'
ERP_SECRET_QUESTION_URL = 'https://erp.iitkgp.ac.in/SSOAdministration/getSecuri... | nilesh05apr/MFTP-WhatsApp | erp.py | erp.py | py | 4,091 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.Session",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_... |
7281238550 | import discord, json, asyncio, random
from discord.ext import commands
from datetime import datetime
class Games(commands.Cog):
def __init__(self, client):
self.client = client
@commands.group()
@commands.guild_only()
async def wtp(self, ctx):
"""Who's that pokemon game."""
... | EliteB0Y/TESBot | cogs/games.py | games.py | py | 13,871 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "discor... |
35514337986 | import logging
import shutil
import os
from flamingo.core.data_model import ContentSet, AND, NOT, OR, Q, F
from flamingo.core.plugins.plugin_manager import PluginManager
from flamingo.core.parser import FileParser, ParsingError
from flamingo.core.plugins.media import add_media
from flamingo.core.utils.imports import a... | pengutronix/flamingo | flamingo/core/context.py | context.py | py | 10,718 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "flamingo.core.types.OverlayObject",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flamingo.core.plugins.plugin_manager.PluginManager",
"line_number": 38,
"usage_type":... |
34903385107 | import threading
import cv2 as cv
import config
import math
import logging
import numpy as np
import statistics
logger = logging.getLogger(__name__)
class Tracker:
def __init__ (self, debug):
self.debug = debug
self.processingEnded = True
self.processingSucceeded = False
self.fai... | guycs/tello_cv_control | droneapp/models/findSquare.py | findSquare.py | py | 21,977 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.getTickCount",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.getTickFrequency",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "config.FRAME_... |
25859548789 | from tkinter import *
from PIL import Image, ImageTk
window = Tk()
window.title("Image with PIL")
window.state("zoomed")
# To open a .jpg image, the Image module of the PIL library is used. To open an image with it, this is the way. The "open" function takes the name of the file as a string.
images = Image.open("D:... | HarshPrateek559/Python | tKinter_learning/PIL_image.py | PIL_image.py | py | 1,099 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"li... |
70235697320 | import xlrd
import json
import PIL
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
import qrcode
season = "winter"
file_path = season + ".xlsx"
data = xlrd.open_workbook(file_path)
table = data.sheet_by_name("Sheet1")
rows_num = table.nrows
cols_num = table.ncols
keys = table.row_values(0)... | BlauHimmel/Animee | qrcode/code_img_gen.py | code_img_gen.py | py | 1,532 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "json.dumps",
... |
16641631551 | #!/usr/bin/env python3
import tkinter as tk
import nltk
import re
words = "about-how off-of a-lot always and-so-on and-etc. anything bad because ‘cause could-of ‘cuz due-to etc forever get getting good be got gotten had-of here-are here-is I-believe I-think in-conclusion in-my-opinion just kind-of like lottsa major m... | JoelJaison/DeadWordChecker | DeadWordChecker.py | DeadWordChecker.py | py | 4,985 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tkinter.SUNKEN",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Frame",
"lin... |
22732213880 | # coding:utf8
import sys
import cv2
import numpy as np
import matplotlib as plt
# import PyQt5
import matplotlib.pyplot as plt
def preprocess(gray):
# 1. Sobel算子，x方向求梯度
sobel = cv2.Sobel(gray, cv2.CV_8U, 1, 0, ksize=3)
# 2. 二值化
ret, binary = cv2.threshold(sobel, 0, 255, cv2.THRESH_OTSU + cv2.THRESH_B... | gsq7474741/Arknights_auto_fight | beta/text_region.py | text_region.py | py | 4,233 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.Sobel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.CV_8U",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_OTSU",
"line_nu... |
628586102 | import copy
import functools
import os
import time
import glob
from concurrent.futures import ThreadPoolExecutor
import numpy as np
from PySide6.QtCore import QObject, QThreadPool, Signal
from PySide6.QtWidgets import QMessageBox
from hexrd import imageseries
from hexrd.imageseries.omega import OmegaImageSeries
fro... | HEXRD/hexrdgui | hexrdgui/image_load_manager.py | image_load_manager.py | py | 19,650 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "PySide6.QtCore.QObject",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "hexrdgui.singletons.QSingleton",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "PySide6.QtCore.Signal",
"line_number": 31,
"usage_type": "call"
},
{
"api_n... |
36024795173 | from datasets import load_dataset, load_metric
from transformers import AutoTokenizer, HfArgumentParser, TrainingArguments, AutoModelForTokenClassification, Trainer, \
DataCollatorForTokenClassification
import json
import numpy as np
from bert_crf import BertCRF
from dataclasses import field, dataclass
from typing ... | youzanai/trexpark | src/token_classification/product_title_ner/title_token_classification.py | title_token_classification.py | py | 7,553 | python | en | code | 61 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datasets.load_metric",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_num... |
73811673640 | import json
import logging
import os
import pickle
import re
import signal
import subprocess
import sys
import tempfile
import time
import uuid
import warnings
from ruamel.yaml import YAML
from ruamel.yaml.comments import CommentedMap
from configargparse import ArgParser, YAMLConfigFileParser
from argparse import (SUP... | DataBiosphere/toil | src/toil/common.py | common.py | py | 109,494 | python | en | code | 856 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "os.path.... |
31896479072 | import logging
from unittest.mock import patch
import pytest
from corgi.core.models import ProductComponentRelation, SoftwareBuild
from corgi.tasks.brew import slow_fetch_brew_build, slow_fetch_modular_build
from corgi.tasks.common import create_relations
from .factories import ProductStreamFactory, SoftwareBuildFac... | RedHatProductSecurity/component-registry | tests/test_relations.py | test_relations.py | py | 1,897 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.django_db",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.mark"... |
42371476170 | #!/usr/bin/python3
"""BaseModel Class"""
from datetime import datetime
from uuid import uuid4
from models import storage
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import String, Column, DateTime
Base = declarative_base()
class BaseModel(Base):
"""
Base class, BaseModel, defi... | jasmin1002/AirBnB_clone | models/base_model.py | base_model.py | py | 3,287 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
31941310608 | import os, sys
currentdir = os.path.dirname(os.path.realpath(__file__))
parentdir = os.path.dirname(currentdir)
sys.path.append(parentdir)
import shared.ipc as ipc
import time, json
from shared.jsonhandler import *
fileHandle = open("Cfg_Clock.json")
jConfig = json.load(fileHandle)
fileHandle.close()
communication ... | scheible/wordclock | bin/web/mock_daemon.py | mock_daemon.py | py | 911 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"lin... |
26890684798 | import pymysql
'''def connnect_userLibrary():
connection = pymysql.connect(host='creamsonservices.com',
user='creamson_langlab',
password='Langlab@123',
db='creamson_user_library',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
return connection
... | sutandra-coder/myelsa | utils.py | utils.py | py | 6,498 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymysql.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pymysql.connect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors"... |
5882053973 | from appData.calculator import calculate
from appData.categorizer import categorize
from appData.parser import parse
from appData.setup import setup
from appData.gui import mmtGui
from datetime import datetime
import tkinter as tk
from tkinter import filedialog
from tkinter import ttk
import sys
import os
im... | PietOnHub/2020_MoneyManagementTool | mmt.py | mmt.py | py | 2,888 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.dont_write_bytecode",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
... |
25580555269 | # https://www.slideshare.net/hcpc_hokudai/advanced-dp-2016 動的計画法の問題の解説がされている 神
# これが比較的わかりやすいかも https://algo-logic.info/bit-dp/
'''
定式化(本は"集める"DPで定義してるが、わかりやすさのため"配る"DPで定式化)
ノーテーション
S ... 頂点集合
| ... 和集合演算子
dp[S][v] ... 重みの総和の最小。頂点0から頂点集合Sを経由してvに到達する。
更新則
dp[S|{v}] = min{dp[S][u]+d(u,v)} ただしv∉S
初期条件
dp[∅][0] = 0 #V... | masakiaota/kyoupuro | practice/ants_book/173_traveling_salesman.py | 173_traveling_salesman.py | py | 2,102 | python | ja | code | 1 | github-code | 18 | [
{
"api_name": "itertools.product",
"line_number": 35,
"usage_type": "call"
}
] |
29414547791 | from enum import Enum
# HX: Breakup program into "Get keywords of cards", "Produce matrix", "Show on site"
# HX: Rarity breakdown
# HX: With Prowess, add toggle for number of spells on stack
# HX: Compile python
# Combat-related keywords
# HX: Protection
KEYWORDS = ["Deathtouch",
"Defender",
"... | hexecute/MtG-Matrix | basics.py | basics.py | py | 3,043 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 20,
"usage_type": "name"
}
] |
34679698330 | """ Widget interfaces
"""
from zope import schema
from zope.interface import Interface
from eea.googlecharts.config import EEAMessageFactory as _
class IPortletAdd(Interface):
""" Portlet widget add schema
"""
name = schema.TextLine(
title=_(u'Name'),
description=_(u"Widget's name"),
... | eea/eea.googlecharts | eea/googlecharts/widgets/portlet/interfaces.py | interfaces.py | py | 919 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "zope.interface.Interface",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "zope.schema.TextLine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "zope.schema",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "eea.googlech... |
32984185856 | from ...util import context, call, config_update
import multiprocessing as mp
import numpy as np
import os
import click
def minmax(el, v):
return (el - np.min(v)) / (np.max(v) - np.min(v)) if np.max(v) - np.min(v) is not 0 else 0
@click.command()
@click.option('--target', default=None)
@click.option('--plotting... | rgcl/msc_thesis | msc_thesis/stages/200_creating_big_catalog/_201_creating_big_catalog.py | _201_creating_big_catalog.py | py | 1,304 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.max",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "click.command",
"line_number": ... |
31239295762 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "heider"
__doc__ = r"""
Created on 24/01/2022
"""
import numpy
import pyaudio # sudo apt-get install python3-pyaudio
from draugr.drawers import discrete_scroll_plot
from matplotlib import pyplot
RATE = 44100
CHUNK = int(RATE / 20) #... | cnheider/modulation | samples/unsorted/mpl_plot.py | mpl_plot.py | py | 965 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pyaudio.PyAudio",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyaudio.paInt16",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "draugr.drawers.discrete_scroll_plot",
"line_number": 29,
"usage_type": "call"
},
{
"api_name... |
23669740675 | import logging
import os
P = '/home/wuyinan/Desktop/coin.forecaster/' if os.path.exists(
'/home/wuyinan/Desktop/coin.forecaster/') else '/Users/wuyinan/Projects/se/projects/coin.forecaster/'
C = {
# ----------------------------- args -----------------------------
'model_opts': 'gru_opts',
'trade_data... | wuyinan0126/coin.forecaster | coin/__init__.py | __init__.py | py | 4,222 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 95,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"... |
12879532049 | import cv2
import numpy as np
from os import listdir
from os.path import isfile, join
faceCascade=cv2.CascadeClassifier('C:\\Users\\omkar\\Anaconda3\\Lib\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml')
def face_detector(img, size = 0.5):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
f... | OmkarNehete/HomeSecuritySystem | facedetector.py | facedetector.py | py | 1,664 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle... |
7112879615 | from typing import List
class Solution:
def insert(self, intervals: List[List[int]], newInterval: List[int]) -> List[List[int]]:
if not intervals:
return [newInterval]
if newInterval[1] < intervals[0][0]:
return [newInterval] + intervals
if newInterval[0] > intervals... | longkun-uestc/examination | 力扣网/57-插入区间.py | 57-插入区间.py | py | 1,259 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
25839570072 | from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from django.shortcuts import render, redirect
from django.contrib import messages
from .models import Producto, Pedido, Cliente, Venta
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, ... | MarcosNapolitano/MDP | MercadoDelPlata/views.py | views.py | py | 5,780 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "models.Venta",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.forms.wi... |
70114676521 | import json
import os
import datetime
import sys
import pdb
br = pdb.set_trace
def get_module_name(fn):
mn, ext = os.path.splitext(fn)
mn = mn.replace('\\', '.')
mn = mn.replace('/', '.')
return mn
def get_dn_and_build(home, sub_dn):
dn = os.path.join(home, sub_dn)
if not os.path.exists(dn... | CountChu/LeetCodePython | util.py | util.py | py | 2,310 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pdb.set_trace",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"l... |
10852269960 | from unittest import TestCase
import six
from openformats.exceptions import RuleError
from openformats.handlers import Handler
class HandlerTestCase(TestCase):
def setUp(self):
self.handler = Handler()
def tearDown(self):
self.handler = None
def test_get_rule_number_returns(self):
... | transifex/openformats | openformats/tests/test_handlers.py | test_handlers.py | py | 1,190 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "openformats.handlers.Handler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "six.iteri... |
35960684229 | import tensorflow as tf
from scipy.spatial.transform import Rotation as R
import numpy as np
import cv2
import transformations
def test_rotation_from_axisangle():
print('test_rotation_from_axisangle')
# The first element in the batch will have the identity rotation, the second element another
# more comp... | xianlopez/monodepth2_tf2 | test_transformations.py | test_transformations.py | py | 15,147 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.constant",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.constant",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tenso... |
14516738771 | import pandas
import requests
from tqdm import tqdm
def edgar_frames(urldescriptor=''):
"""
The edgar_frames function aggregates one fact for each reporting entity that is last filed that most closely fits the calendrical period requested. This API supports for annual, quarterly and instantaneous data
In... | cowboycodeman/tidyxbrl | src/tidyxbrl/edgar_frames.py | edgar_frames.py | py | 2,433 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.json_normalize",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.melt",
... |
15606538472 | from movie_client import MovieClient
import requests.exceptions
def main():
print_header()
search_event_loop()
def print_header():
print('-----------------------------')
print(' MOVIE SEARCH APP')
print('-----------------------------')
def search_event_loop():
search = 'ONCE_THROUGH_L... | obuqwe/Python-Project | 01_Start/10_Movie_search/program.py | program.py | py | 1,043 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "movie_client.MovieClient",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.exceptions.exceptions",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 29,
"usage_type": "name"
}
] |
36424781938 | from tkinter import (BOTH, BOTTOM, END, HORIZONTAL, NO, RIDGE, RIGHT, VERTICAL,
Button, Frame, Image, Label, LabelFrame, StringVar, Tk, W,
X, Y, messagebox, ttk)
import mysql.connector
from dotenv import dotenv_values
from PIL import Image, ImageTk
class Employee(Tk):
co... | PatharePrasad/Employee-Mangement-System | employee.py | employee.py | py | 20,372 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dotenv.dotenv_values",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.StringVar",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tkinter.StringVar",... |
70114530281 | #
# Build a N-ary Tree for the problem 0589.
#
# https://leetcode.com/problems/n-ary-tree-preorder-traversal/
#
# Given an array...
#
# Example 1:
# Input: ls = [
# 1,
# None, 3, 2, 4,
# None, 5, 6
# ]
# Output: "1, (3, 2, 4), (5, 6)"
#
# Example 2:
# Input: ls... | CountChu/LeetCodePython | learn_14_n_ary_tree/solutions/my015-build-n-ary-tree-s1.py | my015-build-n-ary-tree-s1.py | py | 2,575 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pdb.set_trace",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 62,
"usage_type": "attribute"
}
] |
24798717701 | # coding: utf-8
""" A toy mixture model with uncertainties in STAN """
from __future__ import division, print_function
__author__ = "Andy Casey <arc@cam.ast.ac.uk>"
# Standard libraries
import logging
# Third party libraries
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pystan
def... | andycasey/ges | homogenisation/tests/mixture.py | mixture.py | py | 1,899 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pystan.stan",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_n... |
32512868191 | import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras import regularizers
from tensorflow.keras.layers import Input, Add, BatchNormalization, Conv2D, Subtract, Multiply, Reshape, MaxPooling2D, \
UpSampling2D, Cropping2D, concatenate
import horovod.tensorflow as hvd
def hooknet(in... | sara-nl/parallel-hooknet | source/model_tf_2.py | model_tf_2.py | py | 8,326 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.keras.regularizers.l2",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.regularizers",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.layers.Input",
"line_number": 32,
"usage_type": "call"
... |
43571945254 | import flask
import numpy as np
import pandas as pd
import difflib
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
app = flask.Flask(__name__, template_folder='templates')
movies_data = pd.read_csv('movies.csv')
selected_features = ['genres','keyword... | SHRIYANSHGAUR/MovieClub | app.py | app.py | py | 2,586 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 18,
"usage_type": "call"
},
{
"api_na... |
25090940378 | # Voting Ensemble for Classification
import pandas
from sklearn import model_selection
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.svm import SVC
from sklearn.ensemble import VotingClassifier
url = "https://raw.githubusercontent.com/jbrownlee/Datasets... | vishnu-muraly/AppliedML | 09. Cloud/AV/fs.py | fs.py | py | 1,006 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.KFold",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": ... |
73648866600 | from rliable import library as rly
from rliable import metrics
from rliable import plot_utils
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import seaborn as sns
import numpy as np
RAND_STATE = np.random.RandomState(1234)
StratifiedBootstrap = rly.StratifiedBootstrap
IQM = lambda x: metrics... | mmm43514/TD3_HER_Multigoal | plot_scripts/rliable_plots.py | rliable_plots.py | py | 5,141 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rliable.library.StratifiedBootstrap",
"line_number": 13,
"usage_type": "attribute"
},
{
... |
22161586791 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copy from Aladdin, not my own coding!!
Just for use of learning and reference!
"""
"""
let's talk about character-level LSTM
1. identiy the tensor size, tensor.Size([]) = tensor(22), 0-D tensor, you can conver it to tensor([22]) = tensor.Size([1]) by view(1)
2. vi... | frankligy/exercise_codes | deepLearning/pytorch_character_LSTM.py | pytorch_character_LSTM.py | py | 6,911 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "string.printable... |
21990750343 | import wikipedia as wiki
def get_wiki_data(search_item):
########## getiing sentance from wikipedia################################
result = wiki.page(wiki.search(search_item)[0])
result_list = result.summary
count = 0
words = " "
for i in range(len(result_list)):
if count>=3:
... | NitishBhatt07/AdvanceSiteScraper | combineproject/modules/wiki.py | wiki.py | py | 546 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "wikipedia.page",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "wikipedia.search",
"line_number": 5,
"usage_type": "call"
}
] |
18405948672 | # -*- coding: utf-8 -*-
from PIL import Image , ImageDraw , ImageFilter
import Tkinter as tk
import math
#화면 사이즈 구하기
root = tk.Tk()
width = root.winfo_screenwidth()
height = root.winfo_screenheight()
del root
#배경 이미지와 타겟이미지 선언
wallpaper = Image.new(size = (width,height), color="white",mode="RGB")
img = Image.open... | keepworking/BackFillPy | BackFillPy.py | BackFillPy.py | py | 1,347 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "Tkinter.Tk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number":... |
73437078759 | from MemeGenerator.file_helper import FileHelper
from PIL import Image, ImageDraw, ImageFont
import os
import shutil
class MemeGenerator:
""" Set instance attributes """
def __init__(self, output_dir):
self.output_dir = output_dir
self.default_font = './fonts/LilitaOne-Regular.ttf'
se... | joeyBerger/meme-generator | MemeGenerator/MemeGenerator.py | MemeGenerator.py | py | 2,905 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "PIL.Image.NEAREST",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line... |
532345969 | import colorgram
# extract 30 colors from the image
colors = colorgram.extract("damien_hirst.jpg", 30)
rgb_colors = []
for color in colors:
red = color.rgb.r
green = color.rgb.g
blue = color.rgb.b
cols = (red, green, blue)
rgb_colors.append(cols)
print(rgb_colors) | ajaydev17/100-Days-Of-Python | Day 18/hirst_painting/extract_rgb.py | extract_rgb.py | py | 287 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "colorgram.extract",
"line_number": 4,
"usage_type": "call"
}
] |
74983770599 | import discord
from discord.ext import commands
class Abberantics:
colour = 0xFF4500
apexrole = 658508587496112193
csgorole = 658508867172564992
mwrole = 658508851372359690
fortrole = 658509013666889759
owrole = 658509166498807848
r6role = 658509196764905492
rlrole = 664996153288556595
... | Lemony-Juicy/exult-bot | bot/cogs/friends.py | friends.py | py | 14,889 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ui",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "discord.ui.button",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "discord.ui",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "discord.ButtonStyle... |
3957528442 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import streamlit as st
import plotly.express as px
import statsmodels.api as sm
import io
def app():
# Web App Title
st.markdown('''
# **The Plotly Web App**
This is the **plotly App**
... | sartajbalti/Desi_Machine_Learning | streamlitwork/apps/Newapp.py | Newapp.py | py | 4,888 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "streamlit.markdown",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "streamlit.file_uploader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "streamlit... |
2899120874 | import datetime
import shutil
import matplotlib
import os
import time
import copy
import torch
from PIL import Image, ImageFont
from numpy import random
from torch.utils.data import DataLoader
from confusion_matrix import plot_confusion_matrix_from_data
from evaluation.overall_evaluation import Overall... | metzzo/deephumor | pipeline/models/train_cnn.py | train_cnn.py | py | 11,388 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "tor... |
11696023429 | import asyncio
import contextlib
import json
import locale
import logging
import os.path
import signal
import subprocess
from asyncio.subprocess import PIPE, create_subprocess_exec
import psutil
import lambentlight.server as server
from .config import default_folder as default
from .resources import LocalResource
fro... | LambentLight/LambentLight | LambentLight.Server/lambentlight/server/datafolder.py | datafolder.py | py | 7,756 | python | en | code | 23 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.path.isdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path",
... |
27253595467 | import ctypes
import struct
import sys
import threading
try:
from typing import Any, Optional, Union, Dict, List
except ImportError:
pass
# import xml parser. lxml/etree only available since python 2.5
use_minidom = False
try:
import lxml.etree # type: ignore
except ImportError:
from xml.dom.minidom ... | dsuch/pymqi | code/pymqi/__init__.py | __init__.py | py | 131,687 | python | en | code | 111 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_num... |
21924732458 | """opencvFaceRec URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Cla... | fedjo/aat | project/opencvFaceRec/urls.py | urls.py | py | 1,773 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "revproxy.views.ProxyView",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_... |
34350014450 | from time import strptime
import requests
from tkinter import *
import math
import json
import datetime as dt
from datetime import date
from datetime import datetime
# import mainWindow
# city_name = mainWindow.Clicked()
city_name = "Amsterdam,NL"
api_key = "bbdaa09e0842234cc242fc5186627b70"
def get_weather(api_ke... | snsyemrah/Project_AutoScout24 | weather.py | weather.py | py | 2,863 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"... |
13145285314 | #!/usr/bin/python
# -*- coding: utf-8 -*-
owner = "ojahnn" # Name des Accounts, an den Fehlermeldungen gesendet werden
import HP_config
import tweepy
import sqlite3
def login():
# for info on the tweepy module, see http://tweepy.readthedocs.org/en/
# Authentication is taken from F3_config.py
consu... | eseyffarth/HarryPotterBot | HP_bot.py | HP_bot.py | py | 2,208 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "HP_config.consumer_key",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "HP_config.consumer_secret",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "HP_config.access_token",
"line_number": 15,
"usage_type": "attribute"
},
{... |
25579538449 | # https://atcoder.jp/contests/abc132/tasks/abc132_e
# ぱっと思いつくのはダイクストラで3回で到達できる点を探索していくとかかなぁ
import sys
sys.setrecursionlimit(1 << 25)
read = sys.stdin.readline
ra = range
enu = enumerate
def mina(*argv, sub=1): return list(map(lambda x: x - sub, argv))
# 受け渡されたすべての要素からsubだけ引く.リストを*をつけて展開しておくこと
def read_a_int(): ret... | masakiaota/kyoupuro | practice/E_ABC/abc132_e/abc132_e.py | abc132_e.py | py | 2,020 | python | ja | code | 1 | github-code | 18 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "collection... |
26243010810 | # Author: Salvatore Masecchia <salvatore.masecchia@disi.unige.it>
# License: New BSD
""" BIC-search related functions """
import itertools as it
import numpy as np
import utils
#import algorithm as alg
def atoms_jumps(B, eps=1e-3):
""" Counts the number of non-zero levels (up to eps tolerance). """
ajumps ... | slipguru/PyCGH | pycgh/analysis/eFLLAT/bic.py | bic.py | py | 5,603 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.empty_like",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number":... |
3395864340 | import sys
from PyQt5.QtWidgets import *
import xml.etree.ElementTree as elemTree
import os
import shutil
def search(dirname, filter):
l = list()
filenames = os.listdir(dirname)
for filename in filenames:
full_filename = os.path.join(dirname, filename)
ext = os.path.splitext(full... | isdsi/eagle_lbr_editor | lbr_editor_qt.py | lbr_editor_qt.py | py | 7,248 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"line_numb... |
42204639605 | import open3d.ml as _ml3d
import open3d.ml.torch as ml3d
from open3d.ml.vis import Visualizer, BoundingBox3D, LabelLUT
from open3d.ml import datasets
import argparse
from tqdm import tqdm
def parse_args():
parser = argparse.ArgumentParser(
description='Demo for inference of object detection')
parse... | TerranL/REDSA-CAV | scripts/object_detection/objdet_Kitti_frame.py | objdet_Kitti_frame.py | py | 2,599 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "open3d.ml.utils.Config.load_from_file",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "open3d.ml.utils",
"line_number": 56,
"usage_type": "attribute"
},
{
... |
26871397674 | import os
import cv2
import numpy as np
import xml.etree.ElementTree as ET
from keras.preprocessing import image
def add_mask_pat(Patlist, Masklist):
PatROIlist = []
for pat1 in Patlist:
patname1 = pat1['name']
labname1 = pat1['label']
filepaths1 = pat1['filepaths']
imgs1 = pat1['images']
rois = []
roifi... | Troianll/Prediction-of-HT | get_image.py | get_image.py | py | 8,400 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7... |
14175665506 | import torch
import torch.nn as nn
import torch.nn.functional as F
from ..registry import LOSSES
from .utils import weight_reduce_loss
import random
def smooth_one_hot(true_labels: torch.Tensor, classes_count: int, classes, cate2id, smoothing_pair, smoothing=0.0):
confidence = 1.0 - smoothing
label_shape = to... | 13282803166/shengna | mmdetection/mmdet/models/losses/label_smoothing_loss.py | label_smoothing_loss.py | py | 2,960 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.Tensor",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.Size",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.empty",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.mean",
"line_number... |
5615880990 | from django.test import TestCase
from django.test import Client
class miniProgramTestCase(TestCase):
def setUp(self):
self.client = Client()
def testConnection(self):
response = self.client.get('/uploadServer/')
self.assertEqual(response.status_code, 200)
response = self.clien... | pwjworks/MiniProgram_Server | uploadServer/tests.py | tests.py | py | 402 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 7,
"usage_type": "call"
}
] |
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