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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11737234773 | from copy import deepcopy
from zope.interface import implements
from Globals import InitializeClass
from AccessControl import ClassSecurityInfo
from Acquisition import aq_base, aq_inner, aq_parent, aq_chain
from OFS.PropertyManager import PropertyManager
from Products.CMFCore.utils import getToolByName
from Products.... | nuxeo-cps/products--CPSSchemas | widgets/indirect.py | indirect.py | py | 7,146 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Products.CMFCore.utils.SimpleItemWithProperties",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "zope.interface.implements",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "Products.CPSSchemas.interfaces.IWidget",
"line_number": 38,
"us... |
19931655401 | import typing
from .datatype import Datatype
def parse_int(v: typing.Any) -> int:
"""Parse the value `v` to an int.
This function fixes parsing values like "100.1" to int by rounding.
Raises
------
ValueError
When the value `v` could not be parsed
Parameters
----------
v... | miile7/pylo-project | pylo/default_datatypes.py | default_datatypes.py | py | 3,582 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.Any",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "datatype.Datatype... |
19842328575 | import os
import re
from io import open
import torch
class Dictionary(object):
def __init__(self):
self.word2idx = {}
self.idx2word = []
def add_word(self, word):
if word not in self.word2idx:
self.idx2word.append(word)
self.word2idx[word] = len(self.idx2word) -... | TheMarvelousWhale/NTU-CE4045-NLP | Assignment2/part_1/data_fnn.py | data_fnn.py | py | 1,860 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
16937190382 | import re
import pandas as pd
import requests
from bs4 import BeautifulSoup as bs
base = "https://www.dictionary.com/browse/"
csv = pd.read_csv("words.csv")
meaning = []
pronounce = []
password = []
words = csv["Word"]
for word in words:
url = base + word
try:
read = requests.get(url,... | priyakaur/portifolio | fetch_meaning.py | fetch_meaning.py | py | 1,586 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"lin... |
29403941645 | """Handlers tests."""
from django.conf import settings
from django.db.models.signals import post_save
from django.test import override_settings
from test_plus.test import TestCase
import responses
import rovercode_web
@override_settings(SUBSCRIPTION_SERVICE_HOST='http://test.test')
class TestHandlers(TestCase):
... | rovercode/rovercode-web | rovercode_web/users/tests/test_handlers.py | test_handlers.py | py | 1,401 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "test_plus.test.TestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.db.models.signals.post_save.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.db.models.signals.post_save",
"line_number": 18,
"usage_type": ... |
72529053224 | from django.shortcuts import render_to_response, render
from django.contrib.auth.decorators import login_required
from models import Court
from notification.models import Notification
# Create your views here.
@login_required
def all(request):
'''
To list all the court
:param request:
:return:
''... | Championzb/TenniSoda | court/views.py | views.py | py | 662 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Court.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Court.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "models.Court",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "notif... |
6939711390 | from bokeh.plotting import figure, show
x = [1, 2, 3, 4, 5]
y1 = [6, 7, 2, 4, 5]
y2 = [2, 3, 4, 5, 6]
y3 = [4, 5, 5, 7, 2]
p = figure(title="Multiple bars example")
# top defines the single y-coord for each bar; stated more clearly, height
# bottom defines y-intercept, i.e. the 0 value where the lowest data pt starts... | marnatgon/Senior-Design | software/example/bokeh/2-custom-render/bar.py | bar.py | py | 525 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "bokeh.plotting.figure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bokeh.plotting.show",
"line_number": 14,
"usage_type": "call"
}
] |
73360095144 | # django imports
from django.contrib.contenttypes.models import ContentType
from django.core.cache import cache
from django.db.models.signals import post_save
from django.db.models.signals import pre_save
from django.db.models.signals import pre_delete
# lfs imports
from lfs.caching.utils import clear_cache
from lfs.c... | django-lfs/lfs | caching/listeners.py | listeners.py | py | 7,661 | python | en | code | 23 | github-code | 36 | [
{
"api_name": "lfs.core.signals.cart_changed.connect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "lfs.core.signals.cart_changed",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "django.db.models.signals.pre_delete.connect",
"line_number": 34,
"usa... |
21158916889 | from colorsys import rgb_to_yiq
import speedtest
s = speedtest.Speedtest()
bytes_num = 1000000
dws = round(s.download()/bytes_num, 2)
ups = round(s.upload()/bytes_num, 2)
print(f' download {dws}')
print(f' download {ups}') | jesus-sanchez5/Kali_pruebas | Programas_prueba/python/pruebaVelocidad.py | pruebaVelocidad.py | py | 227 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "speedtest.Speedtest",
"line_number": 4,
"usage_type": "call"
}
] |
7838997057 | from django.conf.urls import url
from django.contrib.auth.views import LoginView, LogoutView
from .views import *
urlpatterns = [
url(r'^login/',
LoginView.as_view(template_name='management/login.html'), name='login'),
url(r'^logout/',
LogoutView.as_view(template_name='management/logout.html',
... | robbydrive/RestaurantsAPI | management/urls.py | urls.py | py | 1,143 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.LoginView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.LoginView",
"line_number": 7,
"usage_type": "nam... |
74791822182 | import os
import csv
import logging
from collections import defaultdict
logger = logging.getLogger(__name__)
logging.basicConfig(
format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
datefmt="%m/%d/%Y %H:%M:%S",
level=logging.INFO
)
# ROOT_PATH = "/Midgard/home/martinig/thesis-src"
ROOT_PATH ... | martinigoyanes/LexiconGST | src/postprocessing/collect_results.py | collect_results.py | py | 5,189 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "collections.def... |
11863065064 | # Orbit propagator class to encapsulate solve
import numpy as np
import matplotlib.pyplot as plt
## for newer scipy.integrate
# import scipy.integrate as ode
## for older scipy.integrate (in the videos)
from scipy.integrate import ode
from mpl_toolkits.mplot3d import Axes3D
import planetary_data as pd
class OrbitPro... | stevespreiz/orbit-solver | src/OrbitPropagator.py | OrbitPropagator.py | py | 3,754 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "planetary_data.earth",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"... |
14147429202 | import argparse
import re
PLATOON_PRESETS= {
# scenario 1: 4 AVs with human cars inbetween, some of which are sensing cars used to collect metrics on
'scenario1': 'human#sensor human*5 (human#sensor human*5 av human*5)*4 human#sensor human*5 human#sensor',
}
def parse_args():
parser = argparse.ArgumentPar... | sarahbhaskaran/cosim | scripts/args.py | args.py | py | 2,504 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 38,
"usage_type": "call"
}
] |
43157704514 | #!/usr/bin/python3
#-*- coding:utf-8 -*-
import sys
import pygame
from pygame.locals import *
SCREEN_WIDTH, SCREEN_HEIGHT = 480, 700
pygame.init()
screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))
pygame.display.set_caption("Plane Flight")
bk_img = pygame.image.load("resources/image/background.png")... | minskeyguo/mylib | python-edu/plane/02-plane.py | 02-plane.py | py | 1,311 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
71485638184 | import json
from .lock import f_lock
from .config import read_config
config = read_config()
def update_dict(key=None, target=4, goal=4, flag=1):
pwd = config["pwd"]
with f_lock(f"{pwd}/bin3D_list.json") as json_file:
json_dict = json.load(json_file)
if key is None:
for key in js... | lorenghoh/bin3D2zarr | src/lib/handler.py | handler.py | py | 887 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.read_config",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lock.f_lock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number... |
16537362389 | import json
import pickle
import math
import os
import torch
import numpy as np
from pycocoevalcap.eval import COCOEvalCap
from torch import nn
from torch.nn.utils.rnn import pack_padded_sequence
from torch.utils.data import DataLoader
from torchvision.transforms import transforms
from build_vocab import Vocabulary
... | b-feldmann/ImcaptionNet | train.py | train.py | py | 5,421 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.transforms.Compose",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.transforms",
"line_number": 35,
"usage_type": "name"
},
... |
70806732583 | from bs4 import BeautifulSoup
import requests
import time
import json
import wikipedia
import html2text
API_URL = "https://{}.fandom.com/api.php"
def timeit(fn):
def wrapper(*args, **kwargs):
av_list = []
for i in range(10):
start = time.time()
fn(*args, **kwargs)
... | Unic-X/Kala-Bot | commands/Fandom/fandom.py | fandom.py | py | 4,901 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number... |
34173082997 | #!/usr/bin/env python
__author__ = 'xinya'
from bleu.bleu import Bleu
from meteor.meteor import Meteor
from rouge.rouge import Rouge
from cider.cider import Cider
from collections import defaultdict
from argparse import ArgumentParser
import codecs
from pdb import set_trace
import sys
import numpy as np
reload(sys)
... | zpeide/transfer_qg | metric/qgevalcap/eval.py | eval.py | py | 3,487 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bleu.bleu.Bleu",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "meteor.meteor.Meteor",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "rouge.roug... |
12340279038 | # treatment of routes for search
from pathlib import Path
from flask import Blueprint, \
make_response, \
render_template, \
request, \
session
from backend.collect import container_images_cache, \
update_status
from backend.config import config
from frontend.misc import is_htmx
SORTABLE_BY = [... | HenriWahl/gitlab-container-registry-hub | frontend/search.py | search.py | py | 6,841 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "flask.request.arg... |
29142750716 | # Assignment Collector/Grader - a Django app for collecting and grading code
# Copyright (C) 2010,2011,2012 Anthony Rossi <anro@acm.org>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free ... | rossica/assignmentcollectorgrader | collector/admin.py | admin.py | py | 7,481 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "collector.models.CourseForm",
"line_number": 25,
"usage_type": "name"
},
{
... |
38033762926 | import asyncio
import inspect
import sys
from datetime import datetime, timezone
from pathlib import Path
from typing import List
import pytest
from typing_extensions import Annotated, TypedDict
from pydantic import BaseModel, Extra, Field, ValidationError, validate_arguments
from pydantic.decorator import ValidatedF... | merlinepedra25/PYDANTIC | tests/test_decorator.py | test_decorator.py | py | 13,616 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pytest.mark.skipif",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pydantic.va... |
34405116951 | import time
import re
import codecs
import io
#import urllib2 as ul
import requests
import xml.etree.ElementTree as ET
from konlpy.tag import Kkma
from konlpy.utils import pprint
import zipfile
def LoadDB_2020(src='oro'):
dat = []
z = zipfile.ZipFile('../scraped/{}/{}.zip'.format(src,src))
for j in z.filel... | nborggren/BadukNews | src/BadukCorpus.py | BadukCorpus.py | py | 4,965 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "codecs.decode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "io.TextIOWrapper",
... |
43302752004 | import py
import sys
from rpython.rtyper.lltypesystem import lltype
from rpython.rlib import rawstorage
from rpython.rlib.rawstorage import alloc_raw_storage, free_raw_storage,\
raw_storage_setitem, raw_storage_getitem, AlignmentError,\
raw_storage_setitem_unaligned, raw_storage_getitem_unaligned
from rpython... | mozillazg/pypy | rpython/rlib/test/test_rawstorage.py | test_rawstorage.py | py | 3,046 | python | en | code | 430 | github-code | 36 | [
{
"api_name": "rpython.rlib.rawstorage.alloc_raw_storage",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rpython.rlib.rawstorage.raw_storage_setitem",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "rpython.rlib.rawstorage.raw_storage_getitem",
"line_num... |
7405420240 | import numpy as np
import operator
import matplotlib.pyplot as plt
import os
def createDataSet():
group = np.array([[1.0,1.1],[1.0,1.0],[0,0],[0,0.1]])
labels = ['A','A','B','B']
return group, labels
def classify0(inX, dataSet, labels, k): #k-近邻算法
dataSetSize = dataSet.shape[0] #shape代表读取矩阵第一维度的长度
... | GuoBayern/MachineLearning | kNN.py | kNN.py | py | 6,576 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.tile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_num... |
74957408425 | #! /usr/bin/env python
from __future__ import print_function
import os
import sys
import argparse
from subprocess import CalledProcessError
from scripting.conda import install_python
from scripting.contexts import cd, cdtemp, homebrew_hidden, setenv
from scripting.unix import system, which, check_output
from scriptin... | csdms/csdms-stack | build-stack.py | build-stack.py | py | 7,372 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scripting.unix.which",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.pathsep.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.pathsep",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname"... |
41865321011 | import sys
import copy
import tempfile
import os.path
import filecmp
import shutil
import functools
from album import Album, ParseError, SaveError
TEST_CASE_DIR = "test_cases/DyphalGenerator_Album_save"
def create_file(name, dir_name):
with open(os.path.join(dir_name, name), "w") as f:
pass
def create_f... | rdegraaf/dyphal | test/test_DyphalGenerator_Album_save.py | test_DyphalGenerator_Album_save.py | py | 7,238 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "os.path.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.umask",
"line... |
24788463789 | from collections import defaultdict
class TrieNode:
def __init__(self):
self.word = -1
self.children = defaultdict(TrieNode)
self.palindrome_word = []
class Trie:
def __init__(self):
self.root = TrieNode()
@staticmethod
def is_palindrome(word: str) -> bool:
r... | inhyeokJeon/AALGGO | Python/LeetCode/trie/336_palindrome_pair.py | 336_palindrome_pair.py | py | 2,814 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 81,
"usage_type": "name"
}
] |
31194615398 | import time
import requests
# Takes in a schedule dictionary and sends instructions at specified times
# Exits when mode is changed to manual
def send_instructions(schedule):
manual = False
while not manual:
for scheduled_time in schedule.keys():
if int(time.strftime('%H')) == int(schedule... | apangasa/hackumass-blindcontrol | cloudFxns/scheduler.py | scheduler.py | py | 1,384 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "time.strftime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
21052645591 | import csv
import datetime as dt
import os
import numpy as np
from matplotlib import pyplot
from pandas import datetime
from pandas import read_csv
from sklearn.metrics import mean_squared_error
from statsmodels.tsa.arima_model import ARIMA
from statsmodels.tsa.statespace.sarimax import SARIMAX
from prepare_historica... | chaitanyacsss/github_repository_growth_forecast | arima_predictions.py | arima_predictions.py | py | 4,334 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "csv.writer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numbe... |
14566840458 | from datetime import date
from django.apps import apps
from django.db import models
from lxml import etree
import requests
from .product_forms import FORMS
class IsbnPool(models.Model):
PURPOSE_GENERAL = 'GENERAL'
PURPOSE_WL = 'WL'
PURPOSE_CHOICES = (
(PURPOSE_WL, 'Wolne Lektury'),
(PURPOS... | fnp/redakcja | src/isbn/models.py | models.py | py | 6,085 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
20244314041 | #!/usr/bin/env python
# Download individual checksum files for Electron zip files from S3,
# concatenate them, and upload to GitHub.
from __future__ import print_function
import argparse
import sys
from lib.config import s3_config
from lib.util import boto_path_dirs
sys.path.extend(boto_path_dirs())
from boto.s3.c... | brave/muon | script/merge-electron-checksums.py | merge-electron-checksums.py | py | 1,189 | python | en | code | 970 | github-code | 36 | [
{
"api_name": "sys.path.extend",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "lib.util.boto_path_dirs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lib.config.s3_c... |
6994313010 | from lib.cuckoo.common.abstracts import Signature
class MemoryAvailable(Signature):
name = "antivm_memory_available"
description = "Checks amount of memory in system, this can be used to detect virtual machines that have a low amount of memory available"
severity = 1
categories = ["anti-vm"]
author... | cuckoosandbox/community | modules/signatures/windows/antivm_memory_available.py | antivm_memory_available.py | py | 954 | python | en | code | 312 | github-code | 36 | [
{
"api_name": "lib.cuckoo.common.abstracts.Signature",
"line_number": 3,
"usage_type": "name"
}
] |
35220926762 | import json
import requests
from bs4 import BeautifulSoup
URL = 'https://www.zr.ru/news/'
HEADERS = {'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:93.0) Gecko/20100101 Firefox/93.0', 'accept': '*/*'}
HOST = 'https://www.zr.ru'
# Функция получения данных с сервера
def get_html(url, params=None): ... | dimedrolex/parser-news-zr | www-zr-ru.py | www-zr-ru.py | py | 2,503 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"lin... |
17928875089 | # -*- coding: utf-8 -*-
import datetime
from django.utils.decorators import method_decorator
from django.conf import settings
from django.contrib.auth.decorators import permission_required
from django.core.exceptions import ObjectDoesNotExist
from django.urls import reverse
from django.db.models import Count
from dja... | jgesim/kiwitcms | tcms/testplans/views.py | views.py | py | 28,207 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tcms.testplans.forms.NewPlanForm",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "tcms.testplans.models.TestPlan.objects.create",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "tcms.testplans.models.TestPlan.objects",
"line_number": 72,
... |
2920450419 | #coding:utf-8
import urllib
import http.cookiejar
import json
class Qqpush:
pushurl='https://wx.scjtqs.com/qq/push/pushMsg'
def push(self,qq,token,data):
url = self.pushurl+"?token="+token
post={}
post['qq']=qq
post['content']=[{"msgtype":"text","text":data}]
postdata=byt... | scjtqs2/fqsign | utils/qqpush.py | qqpush.py | py | 861 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.request.Request",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "http.cookiejar.... |
15573580960 | import argparse
import json
import os
import cv2
import imageio
import numpy as np
import pims
def _get_box(annot_box):
x, y, w, h = annot_box["x"], annot_box["y"], annot_box["width"], annot_box["height"]
return (int(x), int(y), int(x + w), int(y + h))
def extract_crop_from_image(image, box):
x1, y1, x... | EGO4D/episodic-memory | VQ2D/visualizations/visualize_annotations.py | visualize_annotations.py | py | 5,766 | python | en | code | 80 | github-code | 36 | [
{
"api_name": "numpy.pad",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 65... |
10895202904 | from __future__ import unicode_literals
import six
def python_2_unicode_compatible(klass):
"""
A decorator that defines __unicode__ and __str__ methods under Python 2.
Under Python 3 it does nothing.
To support Python 2 and 3 with a single code base, define a __str__ method
returning text and app... | akloster/table-cleaner | table_cleaner/utils.py | utils.py | py | 1,509 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "six.PY2",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "six.text_type",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "six.string_types",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "six.PY3",
"... |
6527845396 | from django.shortcuts import render,get_object_or_404
from .models import Post,Category
from markdown import markdown
from django.views.generic import ListView
from comment.forms import CommentForm
from django.http import HttpResponse
# def index(request):
# post_list = Post.objects.all()
# return render(requ... | Sunnysunflowers/danjo | blogproject/blog/views.py | views.py | py | 1,581 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.Post",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 21,
"usage_type": "call"
},
{
"api_... |
40395330066 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
# Data preprocessing
data = pd.read_csv("data.csv")
# Converting Pandas dataframe to numpy array
X = data.x.values.reshape(-1, 1)
Y = data.y.values.reshape(-1, 1)
# Add bias
m = X.shape[0] # sampl... | arnakoguzhan/machine-learning | 3-polynomial-regression/plr_from_scratch_GD.py | plr_from_scratch_GD.py | py | 2,424 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_numbe... |
74569463783 | import sys, random, string, poplib
from PyQt5 import QtCore, uic
from PyQt5.QtWidgets import QApplication, QComboBox, \
QPushButton, QLineEdit, QLabel
def on_cross_pushbutton_clicked():
if method_combo_box.currentText() == "Corte Simples":
offsprings = simple_cut_crossover()
son1_label_3.setVi... | gabbarco/IA-Projects-2022 | 7_crossover_operation/crossover_operation.py | crossover_operation.py | py | 4,508 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QCoreApplic... |
2654931278 | import matplotlib.pyplot as graph
from usrfuncs import *
from time import *
def desmos(FUNC, X_MIN, X_MAX):
error = 0
if (len(FUNC) != len(X_MIN)) or (len(FUNC) != len(X_MAX)) or (len(X_MIN) != len(X_MAX)):
exit('Недопустимые вводные данные!')
for c in range(len(FUNC)):
t = time()
... | TIIGR/Python_in_SPbAU | funcs_operation/desmos.py | desmos.py | py | 2,541 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matp... |
19839810739 | import torch
import torch.nn as nn
def test_reflectionPad(padding):
m = nn.ReflectionPad2d(padding)
input = torch.arange(16, dtype=torch.float).reshape(1, 1, 4, 4)
out = m(input)
return out
if __name__ == '__main__':
print(test_reflectionPad(1))
x = torch.arange(4, dtype=torch.float).reshape... | AnhVietPham/Deep-Learning | DL-Pytorch/padding/main.py | main.py | py | 696 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.ReflectionPad2d",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.arange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_n... |
4004966963 | #!/usr/local/bin/python
"""
File allowing to create all kind of useful files like saving targets's primers pair in bed file or
save target object into file for example.
"""
import dill
from config import *
def create_fasta_file(targets):
"""
Creates a fasta file containing all sequences of targets
:para... | gloubsi/oncodna_primers_design | code/fileCreation.py | fileCreation.py | py | 3,515 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dill.dump",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "dill.load",
"line_number": 100,
"usage_type": "call"
}
] |
10848555614 | from datetime import datetime
from uuid import UUID
import uuid
from fastapi import HTTPException
from starlette.responses import Response
from starlette import status
from http import HTTPStatus
from ..app import app
from ..api.schemas import CreateOrderSchema, GetOrderSchema, GetOrdersSchema, Status
ORDERS = []
o... | BlackJack2021/microservice-api | src/ch02/orders/api/api.py | api.py | py | 3,040 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "app.app.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "app.app",
... |
13898975323 | import numpy as np
import functools
from functools import total_ordering
import bisect
import matplotlib.pyplot as plt
# Ryan Filgas
# AI Fall 2022
STATESIZE = 8
MAXFITNESS = 28
# Allow for sorting of individuals
@functools.total_ordering
class member:
def __init__(self, fitness, position):
self.fitness,... | rfilgas/ML-AI-CV | AI-Genetic-Algorithm/8-queens.py | 8-queens.py | py | 5,883 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "functools.total_ordering",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "... |
2185921772 | import ping3
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.schedulers.base import STATE_RUNNING
import myhome.tgbot
import myhome.core
class Cron:
def __init__(self):
self.presence = True
self.leave_home_count_down = 0
self.leave_home_count_down_max = myhome... | hldh214/myhome | myhome/cron.py | cron.py | py | 3,864 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "myhome.tgbot.config",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "myhome.tgbot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "apscheduler.schedulers.asyncio.AsyncIOScheduler",
"line_number": 14,
"usage_type": "call"
},
{
... |
5030099218 | # Desenvolva uma lógica que leia o peso e a altura de uma pessoa, calcule seu Índice de
# Massa Corporal (IMC) e mostre seu status, de acordo com a tabela abaixo:
# - IMC abaixo de 18,5: Abaixo do Peso
# - Entre 18,5 e 25: Peso Ideal
# - 25 até 30: Sobrepeso
# - 30 até 40: Obesidade
# - Acima de 40: Obesidade Mórbida... | hdtorrad/Estudos-Python3 | Só exercícios/ex043-IMC.py | ex043-IMC.py | py | 981 | python | pt | code | 1 | github-code | 36 | [
{
"api_name": "datetime.date.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 14,
"usage_type": "name"
}
] |
73198221223 | import functools
import json
import sys
import traceback
from flask import jsonify
import sql_graph
from backend.bq import BackendBQClient
from backend.validation import ValidationError
def _convert_bq_obj_to_rf(obj):
data_dict = json.loads(obj["object_data"])
converted_obj = {
"id": obj["object_id"],
"... | google/grizzly | grizzly_data_lineage/backend/utils.py | utils.py | py | 2,755 | python | en | code | 51 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "backend.bq.BackendBQClient",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sql_graph.GrizzlyLoa... |
37068047547 | from django.shortcuts import render,HttpResponseRedirect,reverse,redirect
from django.contrib.auth import authenticate,login,logout
from .forms import login_form,addressform
from .models import guestuser
# Create your views here.
def user_login(request):
if request.method=='POST':
loginform=login_form(requ... | MohamedHany2002/online-shop | account/views.py | views.py | py | 2,121 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "forms.login_form",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 19,
"usage_type": "call"
},
{
"api_na... |
1020567975 | # *********************************************************************************************************************
# league_of_legends_api.py
# import cogs.helper.api.league_of_legends_api as lol_api
# *****************************************************************************************************************... | nartgnoh/BeeBot.py | cogs/helper/api/league_of_legends_api.py | league_of_legends_api.py | py | 2,024 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "riotwatcher.LolWatcher",
"line_number": 14,
"usage_type": "call"
}
] |
17448094011 | from lumicube.standard_library import *
import opensimplex
# Enter the address or hostname of your lumicube
cube = None
if isRunningOnCube():
# connect locally if running locally
cube = LumiCube();
else:
# connect to my remote cube if not running locally (eg from my Mac)
cube = LumiCube("cube.local")... | paultough/lumicube | lava.py | lava.py | py | 1,210 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "opensimplex.random_seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "opensimplex.noise4",
"line_number": 28,
"usage_type": "call"
}
] |
24711363173 | # KLIB - variables
# wykys 2021
from pathlib import Path
PATH_KLIB = f'{Path.home()}/projects/klib'
PATH_KICAD = '/usr/share/kicad-nightly'
PATH_KICAD_CONFIG = f'{Path.home()}/.config/kicad/6.99'
PATH_KICAD_COMMON = f'{PATH_KICAD_CONFIG}/kicad_common.json'
PATH_FP_LIB_TABLE = f'{PATH_KICAD_CONFIG}/fp-lib-table'
PATH_... | wykys/klib | scripts/klib_vars.py | klib_vars.py | py | 1,892 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "pathlib.Path.home",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.home",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"lin... |
22349362845 | import tqdm
from tensorboardX import SummaryWriter
import cv2
import numpy as np
import os
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from models.lbs import batch_rodrigues
from utils import misc
from pytorch3d.io import save_obj
from opt_params import OptParams
def process_visua... | SamsungLabs/NeuralHaircut | src/multiview_optimization/runner.py | runner.py | py | 10,207 | python | en | code | 453 | github-code | 36 | [
{
"api_name": "utils.misc.prepare_visual",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils.misc",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.cat",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_... |
38191760011 | """
GIW 2020-21
Práctica 07
Grupo 05
Autores: XX, YY, ZZ,
(Nombres completos de los autores) declaramos que esta solución es fruto exclusivamente
de nuestro trabajo personal. No hemos sido ayudados por ninguna otra persona ni hemos
obtenido la solución de fuentes externas, y tampoco hemos compartido nuestra solu... | dalevale/GIW2020-21 | practica8.py | practica8.py | py | 7,670 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "mongoengine.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mongoengine.Document",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "mongoengine.StringField",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mong... |
42296323474 | import threading
from typing import ContextManager, Optional
from liquidctl.driver.kraken3 import KrakenX3
from liquidctl.driver.hydro_platinum import HydroPlatinum
from .sensor import Sensor
from .log import LogManager
class AIODeviceSensor(Sensor, ContextManager):
is_valid: bool
device: Optional[any]
... | maclarsson/cfancontrol | cfancontrol/devicesensor.py | devicesensor.py | py | 4,944 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "sensor.Sensor",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.ContextManager",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "threading.Lock",
... |
69844963625 | import cv2
from tensorflow.keras.models import load_model
from keras_preprocessing import image
import numpy as np
import cv2
from pygame import mixer
import os
IMG_SIZE = 250
song_iter = 0
start_flag = False
next_flag = True
model = load_model('C:/Users/ANUJ/Desktop/gesture-recognition/model/gesture_model.h5')
... | anuj1501/Gesture-music-controller | src_files/tester.py | tester.py | py | 2,854 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.... |
74205980903 | from . import utils
import torch
from torch import nn, autograd
import torch.nn.functional as F
from typing import Union, List, Optional, Tuple
from dataclasses import dataclass
from warnings import warn
from functools import reduce
from tqdm import tqdm
import numpy as np
import svox2.csrc as _C
# _C = utils._get_c_e... | ysus33/RGB-D_Plenoxel_Mapping_Tracking | svox2/svox2.py | svox2.py | py | 65,491 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "svox2.csrc.RenderOptions",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "svox2.csrc",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.Tenso... |
3266365657 | # forms.py
from django import forms
from .models import Mensaje, Conversacion
from django.contrib.auth.models import User
class MensajeForm(forms.ModelForm):
class Meta:
model = Mensaje
fields = ('contenido',)
class EnviarMensajeForm(forms.Form):
contenido = forms.CharField(label="Mensaje", wid... | arielgodoy/EntregafinalPython-Agodoy | chat/forms.py | forms.py | py | 863 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.Mensaje",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.For... |
42903865352 | import glob
import cv2 as cv
method = cv.TM_SQDIFF_NORMED
# Path / Threshold # Thresholds were set manually, by careful examination of examples
template_blue_locks = ([img for img in glob.glob("./templates_heist/blue_lock/*.png")],0.05)
template_blue_keys = ([img for img in glob.glob("./templates_heist/blue_key/*... | neuroevolution-ai/ProcgenAutoencoder | data_generation/balance_data.py | balance_data.py | py | 3,236 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "cv2.TM_SQDIFF_NORMED",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_num... |
34651163338 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
from datetime import datetime
from xml.dom.minidom import Document
from xml.etree import cElementTree as cET
class TagBase:
def __init__(self):
pass
def setTextNode(self, tag, data):
if data != ... | carlos-ferras/Sequence-ToolKit | model/handle_rlf.py | handle_rlf.py | py | 15,117 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "xml.dom.minidom.Document",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.Document",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.Document",
"line_number": 111,
"usage_type": "call"
},
{
"api_n... |
16823303848 | from uuid import uuid4
def randId():
return uuid4().hex
def loggedIn(session, LoggedIn):
if ('user' in session) and (session['user'] is not None):
userLoggedIn = LoggedIn.query.filter_by(rand_id=str(session['user'])).first()
if userLoggedIn:
return userLoggedIn.username
ret... | billz96/Pycourses | helpers.py | helpers.py | py | 669 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "uuid.uuid4",
"line_number": 4,
"usage_type": "call"
}
] |
31113875208 | """
The main script that serves as the entry-point for all kinds of training experiments.
"""
from __future__ import annotations
import logging
from functools import partial
from typing import TYPE_CHECKING, Any, Callable, Mapping, Optional, Sequence, Tuple, Union, cast
import torch
from al.core.data.collators impo... | saifullah3396/doc_al | src/al/core/training/waal_trainer.py | waal_trainer.py | py | 18,690 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "al.core.tr... |
41978072202 | import time
from flask import Blueprint, jsonify, request
import requests
import part2.health_check as health_check
from dbBrokerManager.config import async_session, engine, BaseBroker
from dbBrokerManager.AsyncDAL import DAL
import datetime
import asyncio
server = Blueprint("broker_manager_Read_Only", __name__)
brok... | DistributedSystemsGroup-IITKGP/Assignment-2 | BrokerManagerReadOnly.py | BrokerManagerReadOnly.py | py | 7,333 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
24952050763 | from selenium import webdriver
import time
import json
import os
from selenium.webdriver.common.by import By
import subprocess
import difflib
import re
from urllib.parse import unquote
from colorama import *
class Voltaire:
def __init__(self):
options = webdriver.ChromeOptions()
opt... | Sshinx/Voltaire-is-Over | Voltaire.py | Voltaire.py | py | 3,406 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "subprocess.Popen",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
40713013689 | from datetime import datetime
import pytz
import requests
from config import NO_IMG_URL, TIMEZONE
def convert_timezone(
time=None, format="%Y-%m-%dT%H:%M:%SZ", ori_timezone=None, desire_timezone=TIMEZONE
):
date_time = datetime.strptime(time, "%Y-%m-%dT%H:%M:%SZ")
ori_timezone = pytz.timezone(ori_timezo... | timho102003/newsfriend | util.py | util.py | py | 689 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.TIMEZONE",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pytz.tim... |
14824615177 | from pathlib import Path
import csv
import random
from faker import Faker
fake=Faker()
p = Path('.')
# Find all files in folder
fileslist=list(p.glob('**/*.csv'))
# Set the folder for the anonymized files
outfolder = 'anon'
for file in fileslist:
randid=random.randint(10000,99999)
randid2=random.randint(10... | carluri/pythonscripts | anonymize_csv.py | anonymize_csv.py | py | 994 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "faker.Faker",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_numb... |
7640727921 | #Before all this run the command pip install --user PyPDF2==1.26.0
#Shift + right click will bring up the powershell/cmd for the folder
#Ensure file is in the same folder and has the extension .pdf
import PyPDF2
import sys
import time
from tqdm import tqdm
pdfname = input("Enter the name of your file (example: Hello.pd... | anjannair/Automating-With-Python | PDFs/extracttext.py | extracttext.py | py | 1,524 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number... |
26665766366 | from metrics import *
import numpy as np
import pandas as pd
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.utils.vis_utils import plot_model
from keras.utils import to_categorical
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics impor... | hpabst/CS680Project | src/utils.py | utils.py | py | 7,487 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.metrics.roc_auc_score",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
40072930878 | # 标准库
import io as _io
import os as _os
import sys as _sys
import imp as _imp
import codecs as _codecs
import traceback as _traceback
import pathlib as _pathlib
def enhance_init(work_dir=__file__, python_version_require=0, check_module_list=[]):
"""
:param pythonVersionRequire(int): 最低python所需版本
:param ch... | IceTiki/tikilib | enhance.py | enhance.py | py | 4,584 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.version",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "codecs.getwrit... |
10178404139 | import logging
import multiprocessing
import random
import signal
import sys
import time
import traceback
from typing import Callable, Dict, List, Optional
from pebble import ProcessPool, sighandler
from .client import Client
from .util import constants as C
from .util import helper
from .util.enums import State
cl... | ghilesmeddour/faktory_worker_python | src/pyfaktory/consumer.py | consumer.py | py | 9,583 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "client.Client",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_num... |
74262373225 | import torch
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
TensorDataset)
from tqdm import tqdm
from transformers import ElectraForTokenClassification, ElectraConfig, WEIGHTS_NAME, CONFIG_NAME
from transformers import ElectraTokenizer
import time
import pandas... | lindvalllab/MLSym | inference/run_and_predict.py | run_and_predict.py | py | 9,557 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "_pickle.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "spacy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "transformers.ElectraTokenizer.from_pretrained",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": ... |
32923615588 | import torch
import json
speakers = torch.load('../models/vits_ca/speakers.pth')
print(type(speakers))
conv = [line.strip().split(',') for line in open('speakers_conversion.csv').readlines()]
new_speakers = {}
for source, target in conv:
id = speakers.get(source)
if id:
new_speakers[target] = source
wi... | projecte-aina/tts-api | scripts/change_model.py | change_model.py | py | 414 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "torch.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 13,
"usage_type": "call"
}
] |
30647902648 | #!/usr/bin/python3
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(-10,10,100) # 创建一个包含-10到10之间100个等距点的数组作为x坐标
y= x ** 2 # 计算y坐标
plt.plot(x, y) # 绘制曲线
plt.xlabel('x') # 设置x轴标签
plt.xlabel('y') # 设置y轴标签
plt.title('y = x^2') # 设置图标题
plt.grid(True) # 显示网格线
plt .show() #显示图形 | Hsurpass/ElegantTest | test_python/python3/test_matplot/x_square.py | x_square.py | py | 397 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
26296087809 |
from PIL import Image
import numpy as np
import cv2
import pdb
import os
import time
import signal
import argparse
import json
import shutil
def split_data(path_, set_):
path_ = path_ + "/"
file_array = [file for file in os.listdir(path_) if file.endswith('.txt')]
file_array = sorted(file_array)
... | IIT-PAVIS/ReId_without_Id | data/split_train_test.py | split_train_test.py | py | 1,418 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number... |
31474695571 | # encoding: utf-8
"""
Core
"""
import json
import pytz
from typing import Any, Dict
from base64 import b64decode
from datetime import datetime
from google.cloud import datastore
from jsonschema import validate
from jsonschema.exceptions import ValidationError, SchemaError
import config
import log
def current_dateti... | rogerjestefani/schema-publish | src/core.py | core.py | py | 2,605 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pytz.timezone",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "jsonschema.vali... |
43194853510 | import torch
from HDGCN import HDGCN
from utils import DatasetLoader, accuracy
from torch.utils.data import DataLoader
from adabelief_pytorch import AdaBelief
import torch.nn.functional as F
#
# Settings.
#
torch.cuda.set_device(4)
learning_rate = 0.001
device = torch.device("cuda" if torch.cuda.is_avail... | MathIsAll/HDGCN-pytorch | main.py | main.py | py | 3,791 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "torch.cuda.set_device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_avai... |
25809988661 | #!/usr/bin/env python3
import multiprocessing
import time
import os
from src.model.load_json import load_json_to_dict
from src.model.load_script import load_script_file
from src.model.shunt import Shunt
from src.tools.engine.code.github.clone import CodeClone
from src.tools.log4py.log4py import print_log
from src.too... | MongoliaCavalry/BronzeMan | main.py | main.py | py | 2,464 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "src.tools.log4py.log4py.print_log",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "src.tools.log4py.log4py.LogLevel.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{... |
27943726192 | import os, sys, statistics as stats
tags = []
#Outliner v1.0
#Copyright Richard Gustafsson
#Release: Oct 15 2019
def spc(i=1337):
if i != 1337:
print(i)
print("")
if os.path.isfile("tags.txt"):
with open("tags.txt") as file:
tags = [line.strip() for line in file]
print("Tags loaded:")
for index in range(... | Weeaboo420/pythonCollection | Outliner/outliner.py | outliner.py | py | 2,263 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 32,... |
19421956825 | # import the libraries
from datetime import timedelta
# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG
# Operators; we need this to write tasks!
from airflow.operators.bash_operator import BashOperator
# This makes scheduling easy
from airflow.utils.dates import days_ago
#defining DAG argu... | Amarigh/Apache_Airflow_DAG | ETL_Server_Access_Log_Processing.py | ETL_Server_Access_Log_Processing.py | py | 1,513 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.... |
8128511000 | #Run old_indexer first!
import sys
import whoosh.index as index
import whoosh.qparser as qparser
from whoosh.searching import Searcher
correct = 0
queries = 0
#Opens index
ix = index.open_dir("oldIndex")
#Opens test file
with open(sys.argv[1], 'r') as f:
while True:
#Reads next query/u... | gale2307/Jarvis | old_ir_tester.py | old_ir_tester.py | py | 1,596 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "whoosh.index.open_dir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "whoosh.index",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "whoosh.qparser.Query... |
24011947026 | # --------------------------------------------------------
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import torch
from torch import nn
import numpy as np
from core.utils import *
import torch.nn.functional as F
from torch.distributions import N... | liruiw/HCG | core/networks.py | networks.py | py | 11,936 | python | en | code | 13 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
72743725223 | import os
import pandas as pd
import numpy as np
import os
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.pipeline import make_pipeline, Pipeline
import platform
import sys
import sklearn
import tensorflow as tf
file_path = 'H:/Study/Hackarthon/dacon/shopping/dataset/dataset'
... | KMLEE1989/Study | Dacon/shopping/shopping_1.py | shopping_1.py | py | 4,021 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "platform.platform",
... |
36236100422 | from django.shortcuts import render
from django.http import *
from django.contrib.auth import authenticate, login, logout
from django.urls import reverse
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
# Create your views here.
# from d... | hrsh-4/blood-bank | bank/views.py | views.py | py | 7,332 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.Paginator",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.PageNotAnInteger",
"line_number": 34,
"usage_type": "name"
... |
38221038133 | from itertools import permutations
def is_Prime(number):
if number == 1 or number == 0:
return False
for i in range(2, int(number ** 0.5) + 1):
if number % i == 0:
return False
return True
def solution(numbers):
answer = set()
number = list(map(str, numbers))
comb_n... | kh-min7/Programmers | 42839(소수 찾기).py | 42839(소수 찾기).py | py | 597 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.permutations",
"line_number": 17,
"usage_type": "call"
}
] |
25162153371 | import json
import logging
import os
import requests
import uuid
from typing import Dict
LOGGER = logging.getLogger(__name__)
LOGGER.setLevel(logging.INFO)
class TestGCWebhook:
def setup(self):
self.tenant = os.getenv("TENANT", "rapha")
self.stage = os.getenv("STAGE", "x")
self.base_u... | NewStore/int-cinori | integrations/adyen_gift_card/tests/integration/test_gc_api.py | test_gc_api.py | py | 1,692 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_n... |
31256076584 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed u... | nerdicbynature/ospurge | ospurge/tests/resources/test_cinder.py | test_cinder.py | py | 4,466 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "ospurge.tests.mock.Mock",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ospurge.tests.mock",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "ope... |
8806894100 | import requests
## HTTP GET Request
req = requests.get('https://beomi.github.io/beomi.github.io_old/')
## HTML 소스 가져오기
html = req.text
## HTTP Header 가져오기
header = req.headers
## HTTP Status 가져오기 (200: 정상)
status = req.status_code
## HTTP가 정상적으로 되었는지 (True/False)
is_ok = req.ok
print(html)
print(header)
print(status... | astinaus/python_study | crawler/requests_test.py | requests_test.py | py | 386 | python | ko | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
}
] |
74105448422 | #!/usr/bin/env python3
"""Convert font to images of letters."""
import sys
import os
from PIL import Image, ImageFont, ImageDraw
LETTER_SIZE = 60
try:
font_file = sys.argv[1]
output_folder = sys.argv[2]
except IndexError:
sys.stderr.write("Usage: {} [ttf file] [output folder]\n".format(sys.argv[0]))
s... | kirilenkobm/floating_letters | font_to_letters.py | font_to_letters.py | py | 1,280 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_n... |
70996246505 | import json
from datetime import datetime, timedelta
import openpyxl
import requests
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.hashers import make_pa... | fnabiyevuz/crm | main/views.py | views.py | py | 58,006 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "board.models.Lead",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 38,
"usage_type"... |
21160011627 | import matplotlib.pyplot as plt
import networkx as nx
from queue import PriorityQueue
import time
start_time = time.time()
G = nx.Graph()
file = open("data.csv",'r')
lines = file.readlines()
edges = []
for row in range(0,len(lines[0:]),2):
header = lines[row]
header = header[:len(header)-1].split(',')
... | UsamaA99/Krus-Prim | primsAlgo.py | primsAlgo.py | py | 3,164 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
3355703340 | from modules.base_classes import *
import modules.comp_map as cmp
def main():
n = int(input())
rectangles = [Rectangle(*(map(int, input().split()))) for _ in range(n)]
m = int(input())
points = [Point2D(*map(int, input().split())) for _ in range(m)]
x_values, y_values = cmp.fill_zipped_coord(rec... | B-S-B-Rabbit/algorithm_lab2 | compression_map.py | compression_map.py | py | 521 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "modules.comp_map.fill_zipped_coord",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "modules.comp_map",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "modules.comp_map.fill_matrix",
"line_number": 14,
"usage_type": "call"
},
{
"... |
35553806288 | import tweepy
import configparser
from datetime import datetime
from dateutil import tz
from threading import Thread
config = configparser.ConfigParser(interpolation=None)
config.read('twitterkeys.ini')
api_key = config["twitter"]["APIKey"]
api_key_secret = config["twitter"]["APIKeySecret"]
bearer_token = config["twi... | gatordevin/TradingBot | twitterbot.py | twitterbot.py | py | 2,403 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuth1UserHandler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tweepy.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tweep... |
31471559038 | import itertools
import operator
import re
import dataclasses
from dataclasses import dataclass, field
from typing import List, Tuple, Iterable, Dict, Optional, Set
from robotoff import settings
from robotoff.ml.langid import DEFAULT_LANGUAGE_IDENTIFIER, LanguageIdentifier
from robotoff.products import ProductDataset... | alexouille123/robotoff | robotoff/ingredients.py | ingredients.py | py | 13,629 | python | en | code | null | github-code | 36 | [
{
"api_name": "robotoff.utils.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.compile",
"lin... |
22247301648 | import sys
import numpy as np
import matplotlib.pyplot as plt
fname = sys.argv[1] # get filename from argument
samples = []
for s in sys.argv[2:len(sys.argv)]:
samples.append(s)
data = open(fname, "r") # Open file from BMG (export as table) and store in a list
file_stored = []
for i in data:
file_stored.appen... | Brad0440/BioTools | BMG_Plot.py | BMG_Plot.py | py | 2,496 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.average",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number"... |
11565107048 |
import morse, keras
import numpy as np
from scipy import signal
channels = 1
samples_per_sec = 100
max_seconds = 5
max_samples = max_seconds * samples_per_sec
trans_seconds = 5
trans_samples = trans_seconds * samples_per_sec
latent_dim = 100
TOKENS = "$^0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ "
num_decoder_tokens = len(... | sehugg/cwkeras | cwmodel.py | cwmodel.py | py | 10,643 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "keras.layers.Input",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.layers",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "keras.layers.Conv1D",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.layers... |
25299883898 | import pandas as pd
import numpy as np
from sqlalchemy import create_engine
from typing import List
engine = create_engine('sqlite:///../data/data.db', echo=False)
con = engine.connect()
df = pd.read_sql('select * from patient', con=con)
con.close()
def detect_duplicates(df:pd.DataFrame) -> pd.DataFrame:
# remove... | monkeyusage/duplicates | scripts/detect_duplicates.py | detect_duplicates.py | py | 1,699 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "typing.L... |
12279662576 | # third party
import torch
import torch.nn as nn
class IMDBDataset:
def __init__(self, reviews, targets):
"""
Argument:
reviews: a numpy array
targets: a vector array
"""
self.reviews = reviews
self.target = targets
def __len__(self):
# return l... | seedatnabeel/Data-IQ | src/models/nlp_models.py | nlp_models.py | py | 1,958 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "torch.tensor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.long",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_num... |
7284886713 | #!/usr/bin/env python
# coding: utf-8
# # Integración con Python
#
# Esta sección pretende ser un compendio (esperemos que claro y ordenado) de todo el `Python`
# que hemos ido usando en el Capítulo 4.
#
# Esta sección también puede servir como repaso de los conceptos más aplicados que hemos introducido en dicho c... | GCED-CM/JB-Calculo2-UDC | _build/jupyter_execute/capitulos/05/07.Integracion.py | 07.Integracion.py | py | 5,684 | python | es | code | 2 | github-code | 36 | [
{
"api_name": "sympy.symbols",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sympy.Lambda",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sympy.integrate",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sympy.integrate",
"lin... |
70222738664 | import telebot
from telebot import types
import sqlite3
bot = telebot.TeleBot('1835870307:AAHlXuytmI_rtPbjNLj3PzBU3oaeGe7yboY')
# Получение списка администраторов
def get_administrators():
list = []
for i in get_db_connection().execute('SELECT * FROM administrators').fetchall():
list.append(i[1])
... | bygimen01/SerhiiBot | bot.py | bot.py | py | 24,230 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
... |
15500224657 | import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifier
"""使用scikit-learn提供的数值归一化"""
if __name__ == "__main__":
iris = datasets.load_iris()
X = iris.data
y = iri... | ediltwwj/MachinelLearning | ModelTest/scalerTest.py | scalerTest.py | py | 975 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 14,
"usage_type": "call"
},
{
... |
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