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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19052868018 | '''
오늘 날짜를 의미하는 문자열 today,
약관의 유효기간을 담은 1차원 문자열 배열 terms와 수집된 개인정보의 정보를 담은 1차원 문자열 배열 privacies가 매개변수로 주어집니다.
이때 파기해야 할 개인정보의 번호를 오름차순으로 1차원 정수 배열에 담아 return 하도록 solution 함수를 완성해 주세요.
'''
import datetime
from dateutil.relativedelta import relativedelta
def solution(today, terms, privacies):
answer = []
return a... | parkjunga/algorithm | 프로그래머스_lev01/개인정보 수집 유효기간.py | 개인정보 수집 유효기간.py | py | 1,260 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "dateutil.relativedelta.relativedelta",
"line_number": 33,
"usage_type": "call"
}
] |
17940254471 | from keras.layers import Dense, LSTM
from keras.models import Sequential
import numpy as np
def LSTM_model(train_feature_dir, train_label_dir, test_feature_dir, test_label_dir):
"""read data"""
train_feature = np.load(train_feature_dir)
train_label = np.load(train_label_dir)
test_feature = np.load(tes... | jingmouren/antifraud | antifraud/methods/LSTM_seq.py | LSTM_seq.py | py | 1,506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 11,
... |
37710207674 | import math
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
def func(x, k):
return c[k] * X ** a[k]
x = [1, 10]
Fe = [5.836e7, 6.494e8]
Fe_er = [6.87e6, 1.043e8]
P = [8.504e7, 6.965e8]
P_er = [1.439e7, 2.056e8]
a = np.zeros(2)
b = np.zeros(2)
c = np.zeros(2)
var_list = [Fe, P]
for ... | ktrshi/ExtendedAirShower_MSU_cosmophys | additional.py | additional.py | py | 1,137 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 23... |
7379994933 | import pandas as pd
import numpy as np
from keras.callbacks import CSVLogger
from keras.models import Model
from keras.layers import Input, Conv2D, MaxPooling2D, Flatten, Dense, concatenate
from keras.optimizers import Adam
from keras.preprocessing.image import ImageDataGenerator
from sklearn.preprocessing impor... | Viliusps/NTM | NeuralModelImages.py | NeuralModelImages.py | py | 2,716 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.concat",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
18847707094 | import json
import requests
import subprocess
import socket
import time
from .config import NbsConfigurator
from cloud.storage.core.tools.common.python.core_pattern import core_pattern
from cloud.storage.core.tools.common.python.daemon import Daemon
import yatest.common as yatest_common
from contrib.ydb.public.api.... | ydb-platform/nbs | cloud/blockstore/tests/python/lib/daemon.py | daemon.py | py | 6,991 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "cloud.storage.core.tools.common.py... |
21138858155 | from django.conf.urls import url
from .views import LandPage, ArticleList, autocompleteModelSearch, NewSearchContent, autocompleteModelSearchCountry, NewSearchCountryContent, ArticleDetail, check_credit, create_commit, check_credit_article, TerminosYCondiciones
urlpatterns = [
url(r'^$', LandPage.as_vie... | Tsoftdev/litigiosos | paymentintegration/land/urls.py | urls.py | py | 1,259 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.LandPage.as_view",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.LandPage",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.u... |
17435564629 | import pytest
from collections import defaultdict
class Solution:
def carPooling(self, trips: List[List[int]], capacity: int) -> bool:
locations = defaultdict(dict)
for t in trips:
num, pickup, drop = t[0], t[1], t[2]
locations[pickup]["up"] = locations[pickup].setdefault("... | naubull2/codingtests | leetcode/solved/1184_Car_Pooling/solution.py | solution.py | py | 926 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pytes... |
72696988669 | import pytest
from selene import have
from selene.support.shared import browser
@pytest.fixture(params=['Desktop', 'Mobile'], scope='function')
def open_browser(request):
if request.param == 'Desktop':
browser.config.window_width = 1600
browser.config.window_height = 1000
browser.open('htt... | Oljaja/qa_guru_python_3_11-main | tests/test_parametrize.py | test_parametrize.py | py | 1,075 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selene.support.shared.browser.config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "selene.support.shared.browser",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selene.support.shared.browser.config",
"line_number": 10,
"usage_ty... |
41843882260 | import torch
import albumentations as A
from albumentations.pytorch import ToTensorV2
from PIL import Image
# All config
DEVICE = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
# DEVICE = 'cpu'
BATCH_SIZE = 64
LEARNING_RATE = 1e-4
SCALE = 4.
LOAD_MODEL = True
SAVE_MODEL = True
EPOCHS = 100
HIGH_RES = 9... | gmortuza/machine-learning-scratch | machine_learning/neural_network/generative/srgan/config.py | config.py | py | 659 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "albumentations.Comp... |
71634338747 | import datetime
import time
import requests
ProjectStart = time.perf_counter()
error = False
i=0
INTRODUCTION = '''
\U0001FA99 Stock Raccoon\U0001FA99
\U0001F4C8--------------------------------------------------------------------\U0001F4C8
Welcome to Stock Raccoon. We'll give you roughly 5... | JubinJ0110/StockRaccoonJJJ | StockRaccoonJJJ.py | StockRaccoonJJJ.py | py | 4,205 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.perf_counter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.perf_counter... |
45386477806 | from __future__ import unicode_literals
import json
import os
import sys
try:
from collections import UserList
except ImportError: # Python 2
from UserList import UserList
from theory.conf import settings
from theory.utils.encoding import forceText, python2UnicodeCompatible
from theory.utils.html import formatH... | grapemix/theory | theory/gui/util.py | util.py | py | 5,337 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "theory.utils.html.formatHtmlJoin",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "theory.utils.html.formatHtmlJoin",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 58,
"usage_type": "call"
},
{
"api_... |
11779791280 | from scripts.util import read_supertopics, SuperTopic, get_spottopics, DateFormat, read_temp_dist, smooth
import numpy as np
from plotly.subplots import make_subplots
import plotly.graph_objects as go
BOOST = ['raw', # 0
'retweets', # 1
'replies', # 2
'likes', # 3
'retweets_lik... | TimRepke/twitter-climate | code/figures/supertopics/stacked_area_charts_interactive.py | stacked_area_charts_interactive.py | py | 4,349 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scripts.util.read_supertopics",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scripts.util.read_temp_dist",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "scripts.util.SuperTopic",
"line_number": 33,
"usage_type": "name"
},
{
... |
27101226899 | from jax import lax, random, numpy as jnp
from typing import Tuple
from nioc.control import lqr, LQGSpec
from nioc.belief import kf
def solve(spec: LQGSpec, Sigma0: jnp.ndarray, eps: float = 1e-8) -> Tuple[jnp.ndarray, lqr.Gains]:
K = kf.forward(spec=spec, Sigma0=Sigma0)
control_gains = lqr.backward(spec=lqr... | RothkopfLab/nioc-neurips | nioc/control/lqg.py | lqg.py | py | 2,362 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nioc.control.LQGSpec",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "jax.numpy.ndarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "nioc.belief.kf.for... |
72429392829 | import os
import random
import numpy as np
import torch
from PIL import Image
from torch.utils.data import Dataset
class MalwareData(Dataset):
def __init__(self, images, labels):
self.images = images
self.labels = labels
def __getitem__(self, index):
# Load image as a gray scale image... | 641217688tly/Adversarial-Attacks-Against-Malware-Detection | detector/dataset.py | dataset.py | py | 1,662 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"l... |
19694408739 | import functools
from typing import List
from test_framework import generic_test
from test_framework.test_utils import enable_executor_hook
# Returns the number of valid entries after deletion.
def delete_duplicates_slow(A: List[int]) -> int:
start = 1
i = 1
length = len(A)
while i < len(A):
... | aashima-arora239/Python | EPI/sorted_array_remove_dups.py | sorted_array_remove_dups.py | py | 1,326 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "test_framework.test_utils.en... |
27634922968 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : Stanl
# @Time : 2023/5/12 13:26
# @File : preprocess.py
# @Project : lab
import os
import random
import matplotlib as mpl
import numpy as np
import torch
import torchvision
import torchvision.transforms as T
from torch.utils.data import DataLoader, ... | lumeilevel/NNDL_project2 | utils/preprocess.py | preprocess.py | py | 3,119 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "random.seed",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
20826296293 | import requests
import whois
import builtwith
import sys
import os
import datetime
from bs4 import BeautifulSoup
#class with the information extracted from details url
class DetailedFlight:
company = ""
flight = ""
terminal = ""
status = ""
date = ""
arrival = ""
real_arrival_time = ""
... | laurivsan/webscraping_prac1 | code/laurivsan_prac1.py | laurivsan_prac1.py | py | 5,749 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdout",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.no... |
4488696846 | import unittest
import numpy.testing as testing
import numpy as np
import hpgeom as hpg
from numpy import random
import healsparse
class ValidAreaTestCase(unittest.TestCase):
def test_valid_area(self):
"""
Test getting the valid area of a map
"""
random.seed(seed=12345)
n... | LSSTDESC/healsparse | tests/test_validarea.py | test_validarea.py | py | 1,185 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.random.ch... |
38736794995 | import logging
from datetime import datetime, timedelta
from bitstring import BitArray
from npi import get_correct_utc_time
from npi.crc24q import crc24q
_log = logging.getLogger(__name__)
class RTCM3:
@staticmethod
def skip_to_frame(s):
b = None
while b != b'\xd3':
b = s.re... | GeoscienceAustralia/ginan | scripts/backup_old/main/python/npi/rtcm.py | rtcm.py | py | 6,789 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bitstring.BitArray",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "npi.crc24q.crc24q",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "bitstring.BitA... |
33995538254 | """
Streaming the first-generaton HAPI ".data" file format storing transitions
with "extended" (non-standard) sets of parameters.
"""
import os
import re
import json
from hapi2.format.streamer import AbstractStreamer
from ..hitran.lbl import HITRAN_DotparParser
def parse_hapi_line_(line,HAPI_HEADER,TYP... | hitranonline/hapi2 | hapi2/format/streamers/dotpar.py | dotpar.py | py | 5,588 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "re.search",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
24970580118 | from pathlib import Path
import ruamel.yaml
from ruamel.yaml.scalarstring import SingleQuotedScalarString
S = ruamel.yaml.scalarstring.DoubleQuotedScalarString
yaml = ruamel.yaml.YAML()
yaml.preserve_quotes = True
from config import *
class DockerServicesManager:
def __init__(self,deep_structure,registry_address,... | crs4/deep_framework | initialize/services.py | services.py | py | 19,632 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "ruamel.yaml.yaml",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "ruamel.yaml",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "ruamel.yaml.yaml.YAML",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ruamel.yaml.yaml... |
18656727789 | """
The package contains all the functions used to evaluate the segmentation
"""
import json
import os
import sys
sys.path.append(os.path.abspath('..'))
sys.path.append(os.path.abspath('../..'))
from performance_tool.performance_polygons import CorrectPolygon, ToEvaluatePolygon
def claster_on_label(data: dict, correc... | sank96/segmentation-evaluation | performance_tool/evaluate_segmentation.py | evaluate_segmentation.py | py | 5,979 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
35033189664 | #importing the module
import os
# import subprocess
from pytube import YouTube
#GLOBALS
SAVE_PATH = "C:/Users/blins/dev/projects/youtube_converter/"
link="https://www.youtube.com/watch?v=xWOoBJUqlbI" #link of the video to be downloaded
output_name = 'test'
full_path_mp4 = '{}{}'.format(SAVE_PATH, output_name)
d... | linsera1809/youtube_converter | doc/convert-test2.py | convert-test2.py | py | 1,928 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pytube.YouTube",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 37,
"usage_type": "call"
}
] |
34337345731 | from django.contrib.auth.models import User
from tastypie.authorization import DjangoAuthorization
from tastypie.resources import ModelResource,Resource
from myBillWeb_app.models import Category, Company, Record
from tastypie.resources import ModelResource,ALL, ALL_WITH_RELATIONS
from tastypie import fields
from tastyp... | nickapos/myBillWeb | myBillWeb_Django/myBillWeb_app/api/resources.py | resources.py | py | 2,778 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tastypie.resources.ModelResource",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 13,
... |
32520950128 | #Import the libraries
import torch.nn as nn
from torch import device
from torch import cuda
# Define the U-Net architecture
class UNet(nn.Module):
def __init__(self):
super(UNet, self).__init__()
self.device = device("cuda:0" if cuda.is_available() else "cpu")
# Contraction Path (Encoder)... | MrMras/CNN | model_structure.py | model_structure.py | py | 2,829 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
15178259196 | import json,task,task8#task5,task8
from pprint import pprint
def movies_byDirector_language(movie_detailsLst):
mainDic={}
for dic in movie_detailsLst:
subdic={}
for direc in dic["director"]:
if direc not in mainDic:
mainDic[direc]=subdic.copy()
for dic in movie_detailsLst:
for director in dic[... | Rajkumar-coderm/Imdb_scraper | task10.py | task10.py | py | 743 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "task.top250movies",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "task8.movie_detailsLst",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 25,
"usage_type": "call"
}
] |
31426690473 | import json
import logging
import os
import chainer
import numpy
from PyQt5 import QtCore
from PyQt5 import QtGui
from PyQt5 import QtWidgets
from PyQt5.QtCore import Qt
from chainer_wing import util
from chainer_wing.gui_main.mainwindow import Ui_MainWindow
from chainer_wing.subwindows.data_config import DataDialog
... | fukatani/ChainerWing | chainer_wing/gui_main/painter.py | painter.py | py | 49,257 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "chaine... |
37679937103 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from up import username, password
import time
from time import sleep
import datetime
from datetime import date
import csv
import discordwebhooks
from selenium.webdriver.chrome.options import Options
ser = Service("C:/geckodrive/chrome... | PavvanPradeep/teams-autologin-bot | main.py | main.py | py | 5,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 14,
... |
3326998947 | import os
import sys
import string
import shutil
sys.path.append( '../pymod' )
import gdaltest
import ogrtest
from osgeo import gdal
from osgeo import ogr
from osgeo import osr
###############################################################################
# Test if driver is available
def ogr_fgdb_init():
ogr... | dioptre/gdal | autotest/ogr/ogr_fgdb.py | ogr_fgdb.py | py | 14,119 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ogrtest.fgdb_drv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "ogrtest.fgdb_drv",
... |
16205790782 | from dataclasses import dataclass, field
from xdsl.frontend.exception import FrontendProgramException
from xdsl.ir import Block, Operation, Region, SSAValue
@dataclass
class OpInserter:
"""
Class responsible for inserting operations at the right place in the
generated IR.
"""
insertion_point: Bl... | xdslproject/xdsl | xdsl/frontend/op_inserter.py | op_inserter.py | py | 2,369 | python | en | code | 133 | github-code | 6 | [
{
"api_name": "xdsl.ir.Block",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "xdsl.ir.SSAValue",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xdsl.frontend.except... |
72248536507 | import logging
from bioCanon.constants import LOG_FORMAT
from Bio import SeqIO
def init_console_logger(lvl):
"""
Parameters
----------
lvl [int] : Integer of level of logging desired 0,1,2,3
Returns
-------
logging object
"""
logging_levels = [logging.ERROR, logging.WARN, loggin... | phac-nml/bioCanon | bioCanon/utils/__init__.py | __init__.py | py | 1,532 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.ERROR",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.WARN",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG"... |
38196863693 | import numpy as np
import pickle
import matplotlib.pyplot as plt
from scipy import signal
from scipy import stats
from sklearn import preprocessing
import random
def data_filter(path, channel_rm):
with open(path, 'rb') as f:
u = pickle._Unpickler(f)
u.encoding = 'latin1'
p =u.load()
... | KBhandari11/EEG_Emotion_Classification | graph_oneChannel.py | graph_oneChannel.py | py | 3,117 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle._Unpickler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot... |
40195391014 | import os
import codecs
import string
import wordcloud as wc
import matplotlib.pyplot as plt
from collections import Counter
def create_dictionary(clean_list, stop_words):
word_count = dict()
for word in clean_list:
if word not in stop_words:
if word in word_count:
word_co... | mfhorita/WordCloud | WordCloud.py | WordCloud.py | py | 2,174 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
... |
43987860606 | """
Notes about program
"""
# import modules
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# read PIV data into DataFrame
file = '/Users/mackenzie/Desktop/BPE-ICEO/06.11.21 - BPE-ICEO 500 um/chip2 - 500 nm pink/results/piv-data/PIV_data_E20.0Vmm_f500.0Hz_seq2.csv'
df = pd.read_csv(filepath... | sean-mackenzie/curlypiv | curlypiv/statistical_analysis/piv_data_processing.py | piv_data_processing.py | py | 584 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "matplotl... |
45661513 | import xml.etree.ElementTree as ET
import os.path
import fnmatch
def get_content(filename):
file_w = "{}.txt".format(filename)
content = open(file_w, "w")
tree = ET.parse(filename)
root = tree.getroot()
for sent in root.iter('s'):
for item in sent.itertext():
content.writ... | shuai-dong31/read-bnc_baby_news | read.py | read.py | py | 493 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.... |
40176994095 | from simulatorTradingApi.seleniumUtil.HeadlessClient import HeadlessClient
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.... | mchigit/investopedia-simulator-api | simulatorTradingApi/trader/Trader.py | Trader.py | py | 8,005 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 41,
"usage_type": "call"
},
{
... |
42337416601 | from functools import cached_property
from typing import Optional
from pygame.locals import *
import pygame
from src.common.constants import VEC, Color, TILE_SIZE, TILE_MARGIN, BONUS_LOCATIONS, BONUS_FONT, AXIS_FONT, BOARD_SIZE, NUM_TILES
from src.game.elements.container import Container
from src.management.element im... | DaNubCoding/pygame-scrabble-client | src/game/board.py | board.py | py | 2,647 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.game.elements.container.Container",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.management.scene.Scene",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "src.common.constants.BOARD_SIZE",
"line_number": 15,
"usage_type": "name... |
33796749880 | from torch import nn
class QFunc(nn.Module):
"""
"""
def __init__(self,
action_space=4,
observation_space=8,
hidden_space_1=512,
hidden_space_2=512):
"""
"""
super(QFunc, self).__init__()
self.ffn =... | LemuelPuglisi/Lunar-Lander-DQN | src/aicourse/dqn.py | dqn.py | py | 826 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
40696441173 | import base64
from cryptography import x509
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.x509.oid import NameOID
from magma.common.serialization_utils import write_to_file_atomically
def load_key(key_file):
"""Load a p... | magma/magma | orc8r/gateway/python/magma/common/cert_utils.py | cert_utils.py | py | 4,363 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "cryptography.hazmat.primitives.serialization.load_pem_private_key",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.serialization",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "cryptography.hazmat.backends.defau... |
21716984883 | import sys
import os
sys.path.append(os.getcwd())
import config
from src.model.modules import *
from src.model.loss import *
from src.dataset.uv_face import mean_shape_map_np
import torch
import time
from src.model.hrnet import get_hrnet
from src.model.unet import UNet
from src.model.pointnet import PointNet
from src... | lhyfst/DSFNet | src/model/DSFNet.py | DSFNet.py | py | 3,915 | python | en | code | 39 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "src.model.hrnet.get_hrnet",
... |
1416135920 | import requests
import time
import pandas as pd
import numpy as np
import re
import json
from bs4 import BeautifulSoup
import pickle
import pdb
import os
def create_yarn_list(input_weight):
id_dict = pickle.load( open( "ravrec/yarn_id_dict.p", "rb" ) )
input_weight = input_weight.lower()
yarn_list = [inpu... | ananari/ravelry-rec-backend | ravrec/similar_patterns.py | similar_patterns.py | py | 4,288 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 36,
"usage_type": "attribute"
}
] |
21413391433 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
from onewire.views import SensorCreate
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
url(r'^$', 'onewire.views.index'),
url(r'^api/last_scan.*$', 'onewire... | tobias-reese/onewiregraph | onewiregraph/urls.py | urls.py | py | 856 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 9,
"usage_type": "call"
},
{
"api... |
6995244341 | from operator import le
from click import option
from selenium import webdriver
from selenium.webdriver.chrome.webdriver import WebDriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium... | BharathG03/Twitter-Data-Retriever | functions.py | functions.py | py | 3,252 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 19,
"usage... |
74473913146 | import math
import requests
API_KEY = "29ff3b1e" # argaghulamahmad@gmail.com ombd account
"""
Fungsi untuk mendapatkan data json menggunakan api ombd
"""
def search_movie(judul, tahun):
print("METHOD SEARCH MOVIE")
# Generate url untuk mendapatkan data
get_tahun = ""
if not tahun == "-":
... | argaghulamahmad/ppw-lab-arga | lab_10/omdb_api.py | omdb_api.py | py | 2,252 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number":... |
8089633135 | import datetime
from os import path
from brains.config import RACERS, START, END, racers_type
from brains.utils import calculate_critical_threshold
from datetime import datetime
class RacerInfo:
def __init__(self, place=None, name=None, team=None, lap_time=None):
self.place = place
self.name = nam... | FedXL/Monaco-Monaco | src/awesome_monaco_FEDORKURUTS/brains/build_data.py | build_data.py | py | 3,767 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
29577253540 | # -*- coding: utf-8 -*-
"""
1. Classification (k-NN)
2. Applicability Domain (k-NN)
3. Double Cross Validation
Created on Thu Jul 26 15:08:34 2018
@author: Akitaka
"""
import pandas as pd
import numpy as np
# import matplotlib.pyplot as plt
from time import time
from sklearn.dataset... | nakanishi-akitaka/python2018_backup | 0726/test4_kNN_AD_DCV_clf.py | test4_kNN_AD_DCV_clf.py | py | 3,768 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.make_classification",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 55,
"usage_type": "call"
},
{
... |
16885096549 | '''
Лабораторная работа номер 6
Многострочный комментарий
'''
# Импорт библиотеки, отвечающей за связь с SQL
import psycopg2
from psycopg2 import OperationalError
# Соединение с базой данных
def create_connection(db_name, db_user, db_password, db_host, db_port):
connection = None
try:
con... | DekkoBraze/PIS-Labs | Lab6/lab6.py | lab6.py | py | 8,577 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "psycopg2.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "psycopg2.OperationalError",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "psycopg2.OperationalError",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "... |
14186961986 | import numpy as np
import random
import math
import matplotlib.pyplot as plt
sigma_a = 0.03
H = 100
h = 1
D = 1
L = (1 / sigma_a) ** (1 / 2)
Q = 1
q = Q * h
a = - D / h
c = - D / h
N = int(H / h)
b = np.zeros(N)
b[0] = sigma_a * h - c
b[N - 1] = sigma_a * h - a + 0.5
b[1:N - 1] = sigma_a * h - c - a
A = np.zeros(N)
... | DanilaKholod/Neutron-physics-calculation | Autumn/Lab 7.py | Lab 7.py | py | 960 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
1821849748 | import argparse
import enum
import json
import os
from os.path import join
import shutil
import warnings
import numpy as np
import pandas as pd
import models
import data_processing as dp
import utils
def get_id_from_fname(f):
return f.split('.')[0].split('_')[1]
def get_ftype_from_fname(f):
return f.split('... | adragnar/causal_discovery | aggregate.py | aggregate.py | py | 11,300 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "enum.Enum"... |
5087770676 | """
Q this is the main file for Q lang.
this file holds the class for Q , links to the parsers
and SQL Like operators queue supports further to the bottom
"""
from __future__ import annotations
import csv
import logging
from copy import copy
from dataclasses import dataclass
from json import JSONEncoder, dumps
from mu... | CancerDataAggregator/cda-python | cdapython/Q.py | Q.py | py | 28,941 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "logging.captureWarnings",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "typing_extensions.Literal",
"line_number": 67,
"usage_type": "name"
},
{
"api_name":... |
9915828409 | from django.conf.urls import url
from habito_app import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^user', views.show_user, name='user'),
url(r'^habit/(?P<habit_title_slug>[\w\-]+)/$', views.show_habit, name='habit'),
url(r'^add_habit/$', views.add_habit, name='add_habit'),
... | oldaukse/Habit-O | habito_app/urls.py | urls.py | py | 487 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "habito_app.views.index",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "habito_app.views",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django... |
1772004048 | import asyncio
import sys
import os
import msg
import yaml
async def exec(program: str, args: list[str]) -> None:
log_error = ""
proc = await asyncio.create_subprocess_exec(
program,
*args,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
while True:
... | regularenthropy/server | modules/searx.py | searx.py | py | 2,294 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "asyncio.create_subprocess_exec",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "asyncio.subprocess",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "asyncio.subprocess",
"line_number": 13,
"usage_type": "attribute"
},
{
"api... |
73993755389 | import functools
import io
import os
import stat
import subprocess
import threading
import dulwich
import dulwich.patch
from dulwich.errors import NotTreeError
from dulwich.object_store import tree_lookup_path
from dulwich.objects import S_ISGITLINK, Blob
try:
from dulwich.refs import SymrefLoop
except ImportErro... | jonashaag/klaus | klaus/repo.py | repo.py | py | 15,016 | python | en | code | 659 | github-code | 6 | [
{
"api_name": "dulwich.refs.SymrefLoop",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "threading.RLock",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "dulwich.repo.... |
36130416410 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 30 16:15:20 2018
@author: Christopher Barnhouse
"""
import time
import csv
import wordcloud
import matplotlib.pyplot as pyplot
import folium
import os
import geopy
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.c... | cbarnhouse/Twitter-scraper | twitterScraper.py | twitterScraper.py | py | 13,443 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "selenium.webd... |
16969672768 | from rest_framework.serializers import ModelSerializer, HyperlinkedIdentityField, SerializerMethodField
from notes.models import Note
post_detail_url = HyperlinkedIdentityField(
view_name='notes_api:detail',
# lookup_field='slug'
)
post_delete_url = HyperlinkedIdentityField(
view_name='notes_api:delete',
... | rohitnahata/NotesDjango | notes/api/serializers.py | serializers.py | py | 1,437 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.HyperlinkedIdentityField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rest_framework.serializers.HyperlinkedIdentityField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rest_framework.serializers.ModelSerializer"... |
32558206702 | from astropy.io import fits
import os
from EXOSIMS.util.radialfun import (
radial_average,
genwindow,
resample_image,
circ_aperture,
com,
fitgaussian,
)
from scipy.ndimage import shift
import numpy as np
import warnings
import json
import astropy.units as u
def process_opticalsys_package(
... | Rickr96/ExoSims_Rick-Branch | EXOSIMS/util/process_opticalsys_package.py | process_opticalsys_package.py | py | 15,128 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits.open",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 117,
"usage_type": "name"
},
{
"api_name": "os.path.join",
... |
70369205308 | from xml.dom.minidom import parse, parseString
import cv2
import glob
import json
def read_data(dataset_path, output_data):
data=[]
for filename_xml in glob.glob(dataset_path+'*.xml'):
docs = parse(filename_xml) # parse an XML file by name
Coords = docs.getElementsByTagName("Coords")
filename_img... | avlisrede09/acl_doc | load_bbox.py | load_bbox.py | py | 3,522 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.parse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
5665709038 | import requests
from bs4 import BeautifulSoup
import re
def get_content(url):
"""
gets the content of the html page
cleans the text so that we essentially get the body of the html page and other relevant content
:param url: string that represents the url of the site we want to scrap
:return: clean... | shivanipatel16/information-extraction-Iterative-set-expansion | textprocessing.py | textprocessing.py | py | 1,357 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
}
] |
927368302 | import requests
import json
from threading import Thread
class GetIdCityByName:
def __init__(self, name):
self.name = name
self.url = 'https://api.dobrf.ru/open-api/v1/regions/?search={}'.format(name)
def execute(self):
response = requests.get(self.url)
response_data = json.lo... | Hosstell/prodobro | backend/events/services/map_services.py | map_services.py | py | 3,289 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
40948771304 | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from models import Leagues, Matches, Players, Stages, Teams, Tournaments, create_table
import dateparser
import json
class DBUtility:
"""This class is used to store league data to database.
"""
def __init__(self, user: str, ... | DrArtemi/riot-api | unoffical_api_wrapper/database.py | database.py | py | 6,690 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.create_table",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 15,
"usage_type": "call"
},
{
"api_name... |
29870060106 | import torch
import numpy as np
from torchvision.ops import nms as torch_nms
def nms(result_boxes, det_thres=None, iou_thres = 0.5):
for filekey in result_boxes.keys():
arr = np.array(result_boxes[filekey])
arr = result_boxes[filekey]
if arr is not None and isinstance(arr, np.ndarray) ... | Karnsira/CMVDET | lib/nms_WSI.py | nms_WSI.py | py | 931 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torchvision.ops.nms",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
... |
25010911405 | from collections import deque
import copy
dict_16 = {
'A': 10,
'B': 11,
'C': 12,
'D': 13,
'E': 14,
'F': 15
}
x = list(input('Введите первое шестнадцатеричное чисело: '))
y = list(input('Введите второе шестнадцатеричное чисело: '))
#Подставляю нули в списки, чтобы удобнее было считать
if len(x... | the-nans/py2-repo_gb | lesson_6/sandbox.py | sandbox.py | py | 1,543 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_n... |
25255287095 | from mptt.models import MPTTModel
from mptt.fields import TreeForeignKey
from django.db import models
from ckeditor_uploader.fields import RichTextUploadingField
from django.contrib.auth.models import User
from learning_logs.models import Sharer
from company.models import Xinw
from django.urls import reverse
# Create y... | blhjkkj/company | comment/models.py | models.py | py | 1,345 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mptt.models.MPTTModel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 11,
"usage_type": "argument"
},
{
... |
23066735421 | import bpy
import bmesh
import random
from bpy.props import (
BoolProperty,
BoolVectorProperty,
FloatProperty,
FloatVectorProperty,
IntProperty,
)
class AddTerrainDiamondSquare(bpy.types.Operator):
"""Add a simple box mesh"""
bl_idname = "mesh.te... | lnugentgibson/Blender-Addons | FractalTerrain/DiamondSquare/operator_terrain_diamond_square_add.py | operator_terrain_diamond_square_add.py | py | 6,248 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bpy.types",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.FloatProperty",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bpy.props.FloatProperty",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bpy.pr... |
2528265270 | from unittest import TestCase
from character_mappings import CONSONANT_CHAR_CLASS, kn_iast_mappings, kn_iast_classes
from transliterate import transliterate_kn_iast
class TestTransliteration(TestCase):
def test_single_chars(self):
# test a collection of single characters
for original, expected_tr... | gsireesh/kannada-transliterate | tests/test_transliteration.py | test_transliteration.py | py | 931 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "character_mappings.kn_iast_mappings.items",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "character_mappings.kn_iast_mappings",
"line_number": 10,
"usage_type": "name"
... |
43079361644 | from typing import List
class Solution:
def search(self, nums: List[int], target: int) -> int:
low = 0
high = len(nums) - 1
mid = 0
while low <= high:
mid = (low + high) // 2
if nums[mid] == target:
return mid
elif nums[mid] > ta... | devKhush/DSALeetCodeProblems_Python | SearchInsertPosition/SearchInsertPosition.py | SearchInsertPosition.py | py | 653 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
}
] |
1407662423 | import json
from os import path
from tempfile import TemporaryDirectory
from todo_list.persistent_list import persistent_list
def test_persistent_list_should_be_created_as_empty_list_when_file_does_not_exist():
with TemporaryDirectory() as temp:
# when
with persistent_list(f'{temp}/list.json') a... | tanayseven/python_workshop | test/test_persistent_list.py | test_persistent_list.py | py | 875 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tempfile.TemporaryDirectory",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "todo_list.persistent_list.persistent_list",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
... |
15110355597 | import streamlit as st
import pickle
st.set_page_config(page_title="Spam or Ham Predictor", page_icon=":email:", layout="centered")
# Title and Header
st.title("Spam or Ham Predictor")
st.write("Enter a message and click on the 'Predict' button to check if it's spam or ham.")
# Text Input
input_text = st.t... | oceanslayer/sd_deploy1 | app.py | app.py | py | 1,237 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.text... |
20298986310 | import cv2
capture = cv2.VideoCapture(0)
if capture.isOpened() == False : raise Exception("카메라 연결 안됨")
fps=29.97
delay = round(1000/fps)
size = (1280,720)
fourcc = cv2.VideoWriter_fourcc('M','J','P','G')
print("width height :", size)
print("video writer fourcc : %s"%fourcc)
print("delay : %2d ms"%delay)
print("fps :... | chaeheejo/computer_vision | openCV_practice/video_writer.py | video_writer.py | py | 869 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_ZOOM",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_... |
7789490943 | from flask import Markup, render_template, request
from werkzeug.exceptions import HTTPException, default_exceptions
def errorHandler(error):
if isinstance(error, HTTPException):
msg = Markup(error.get_description(request.environ))
code = error.code
name = error.name
else:
msg ... | DanGonite57/CrPyto | views/errors.py | errors.py | py | 775 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "werkzeug.exceptions.HTTPException",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "flask.Markup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_na... |
33762148477 | import sys
import pandas as pd
import matplotlib.pyplot as plt
from wkf.CHUBBINT.Const import File, Column
from sklearn.model_selection import train_test_split
class InfoPrinter:
def __init__(self, df):
self.df = df
self.df_to_plot = df.groupby(Column.category)[Column.desc_tagged].count().sort_v... | las1982/DataAnalysis | wkf/CHUBBINT/Analysis.py | Analysis.py | py | 3,256 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "wkf.CHUBBINT.Const.Column.category",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "wkf.CHUBBINT.Const.Column",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "wkf.CHUBBINT.Const.Column.desc_tagged",
"line_number": 13,
"usage_type"... |
7165782164 | import importlib.resources
import os
import pathlib
from logging import getLogger
from typing import Any, Optional
import yaml
from competitive_verifier import git, github
from .. import config as conf
from .type import SiteRenderConfig
_RESOURCE_PACKAGE = "competitive_verifier_resources"
_CONFIG_YML_PATH = "_confi... | competitive-verifier/competitive-verifier | src/competitive_verifier/documents/render.py | render.py | py | 3,240 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"... |
14627906723 | import pytest
import asyncio
import sqlite3
import aiosqlite
from unittest.mock import patch, ANY
from pymongo import MongoClient
from rollbot.cogs.profile_cog import ProfileCog
from rollbot.profile.profile import Profile
# DISCORD MOCK
class MockDiscord():
def __init__(self):
self.author = "Owner#1"
... | guardianroleplay/rollbotexe | rollbot/tests/profile_test.py | profile_test.py | py | 5,433 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "aiosqlite.connect",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "rollbot.cogs.profile_cog.ProfileCog",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "rollbot.profile.profile.Profile",
"line_number": 49,
"usage_type": "call"
},
{
... |
71895892987 | import pandas as pd
import numpy as np
import openpyxl
from sklearn.neighbors import BallTree
from sklearn.base import BaseEstimator
from sklearn.pipeline import make_pipeline
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import TruncatedSVD
from aiogram import Bot, Disp... | flofeyka/botadolfAI | main.py | main.py | py | 4,733 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 19,
"usage_type": "call"
},
... |
33695883060 | import pandas as pd
import numpy as np
from sklearn import linear_model
from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
data = pd.read_csv("student-mat.csv",sep=";")
data = data[["G1","G2","G3","studytime","failures","absences"]] # cut ra nhung column co ten nhu nay
predict = "G3... | Quanghuy99/ML | linear_regression/Regression_working_with_tim.py | Regression_working_with_tim.py | py | 801 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_... |
29431065555 | import matplotlib.pyplot as plt
import torch
import numpy as np
import analytics.plotAnalytics
from analytics import analytic_funcs as AF
def plotLosses(G_losses, D_losses):
#plt.figure()
plt.title("Generator and Discriminator Loss During Training")
plt.plot(G_losses, label="G")
plt.plot(D_losses, la... | Mintas/diving-deep-learning | plots/painters.py | painters.py | py | 3,444 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matp... |
32904027646 | import json, random, math
from asgiref.sync import async_to_sync
from channels.generic.websocket import WebsocketConsumer
from django.forms.models import model_to_dict
from .models import Game, Player
class GameConsumer(WebsocketConsumer):
def connect(self):
self.room_name = self.scope['url_route']['kwargs... | sigmachirality/gofungyourself | backend/game/consumers.py | consumers.py | py | 7,005 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "channels.generic.websocket.WebsocketConsumer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Game.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Game.objects",
"line_number": 14,
"usage_type": "attribute"... |
5949665505 | import matplotlib.pyplot as plt
import numpy as np
import pickle
import os
import csv
from constants import DIC_DATA, DATA_FILENAME, CSV_FILENAME, CSV_HEADER
class Statistics:
"""Static class which handles data operations."""
@staticmethod
def save(**data_arguments):
"""
- Saves the consi... | JeremyRozier/SawImageProject | stats/statistics.py | statistics.py | py | 5,043 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "constants.DIC_DATA",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "numpy.sum",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_numbe... |
19798353101 | """Initial Tenant Tables
Revision ID: 43de4e824162
Revises: d6ba8c13303e
Create Date: 2022-07-18 16:18:40.239282
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "43de4e824162"
down_revision = "d6ba8c13303e"
branch_labels = None
depends_on = None
def upgrade() ... | mgurg/fastapi-multitenant-example-app | migrations/versions/2022_07_18_1618-43de4e824162_initial_tenant_tables.py | 2022_07_18_1618-43de4e824162_initial_tenant_tables.py | py | 668 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
73967852669 | from decimal import Decimal
from dateutil.relativedelta import relativedelta
from django.conf import settings
from django.db.models import Sum
from metering_billing.payment_providers import PAYMENT_PROVIDER_MAP
from metering_billing.utils import (
calculate_end_date,
convert_to_datetime,
convert_to_decimal... | orgTestCodacy11KRepos110MB/repo-4660-lotus | backend/metering_billing/invoice.py | invoice.py | py | 21,735 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.settings.POSTHOG_PERSON",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.META",
"line_number": 26,
"usage_type": "attribute"
... |
19763065722 | import torch
import torch.nn as nn
class MyModel(nn.Module):
def __init__(self):
super(MyModel, self).__init__()
self.neuralnetwork = nn.Sequential(
nn.Linear(40, 128, bias= True), #stacking previous distances along with action
nn.ReLU(),
nn.Linear(128, 3),
... | praveenVnktsh/CarRacing-v0-Genetic-Evolution | temp.py | temp.py | py | 700 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
35392148532 | import re
import requests
import urllib3
from Model.news import News
from Utils.Util import get_connect
urllib3.disable_warnings()
class Toutiao():
def __init__(self):
self.index_url = 'https://www.toutiao.com/'
self.session = requests.Session()
self.news_list = []
self.nodejs_s... | wangshen520/CrawlerAndDataAnalysis | Crawler/toutiao_news.py | toutiao_news.py | py | 4,674 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "re.findall",
... |
39523060484 | import re
import requests
from bs4 import BeautifulSoup
def scrape_page(URL):
find_id = re.search('\/(\d{1,9})\/', URL)
print(URL)
if find_id:
found_id = find_id.group(1)
page = requests.get(URL)
soup = BeautifulSoup(page.content, "html.parser")
results = soup.find(id="b... | Shybuia/web-scrape-home-project | scraping.py | scraping.py | py | 1,386 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.search",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number"... |
72433952187 | '''
Created on Apr 4, 2018
@author: cclausen
'''
import json
def openJson(path):
with open(path) as f:
parsed = json.load(f)
return parsed
def writeJson(path, data, pretty = True):
with open(path, "w") as f:
f.truncate()
if pretty:
f.write(json.dumps(data, sort_keys=Tr... | ColaColin/nmcts2 | src/core/misc.py | misc.py | py | 387 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
}
] |
75264641466 | import os
import django
import io
import datetime
import requests
from django.http import HttpResponse
from django.template.loader import get_template
os.environ['DJANGO_SETTINGS_MODULE'] = 'Azondrop.settings'
django.setup()
from scout.Miner import excel
from scout.models import Job, Product, Proxy, User, File, Mess... | happyxiaoxu/zonmine | scout/db_handler.py | db_handler.py | py | 9,384 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scout.Miner.excel.init_excel"... |
36802214249 | import ipfn
import pandas as pd
import numpy as np
import sklearn.linear_model
import statsmodels.api as sm
import plotly.graph_objects as go
import plotly.express as px
import plotly.io as pio
pd.set_option('display.max_columns', None)
path='C:/Users/mayij/Desktop/DOC/DCP2021/TRAVEL DEMAND MODEL/'
pio.renderers.defau... | NYCPlanning/td-tdm | od.py | od.py | py | 46,506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "plotly.io.renderers",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "plotly.io",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv"... |
35220900555 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Construct a CSV file with the raw imagenet images and their label data. This file expects the following
files to exist in the project which will need to be downloaded independently:
data/val/ILSVRC2012_val_*.JPEG -> Validation set images
data/I... | theBraindonor/adversarial-filters | preprocess/create_imagenet_labels.py | create_imagenet_labels.py | py | 2,707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utility.use_project_path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.rot90",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "glob.iglob",
"li... |
10323452181 | """
Module that contains salt utilities
All functions here should return dictionaries or object no IO
"""
from __future__ import absolute_import, unicode_literals
import os
import subprocess
import yaml
from datasciencebox.core.logger import getLogger
logger = getLogger()
def get_pillar(project, filename, pillar=N... | danielfrg/datasciencebox | datasciencebox/core/salt.py | salt.py | py | 3,821 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "datasciencebox.core.logger.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "yaml.l... |
4386810477 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import matplotlib.pyplot as plt
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
# 인풋(앞 레이어의 노드)=1개, 아웃풋(뒤 레이어의 노드)=128개 -> 128*1 w 필요
self.fc1 = nn.Lin... | seoyun-dev/TIL | ML/RL/RLfrombasics/ch7_CosineFitting.py | ch7_CosineFitting.py | py | 2,705 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
18798533943 | from vle.modules.functional import epsilon
import lpips
import torch.nn.functional as F
import torch.nn as nn
import torch
def normalize_token_along_batch(t):
return (t - torch.mean(t, dim=0)) / (torch.std(t, dim=0) + epsilon)
def get_cross_correlation_loss(t1, t2, lambd=1e-3):
(b, c, h, w) = t1.shape
... | johnathanchiu/variable-length-embedding | vle/modules/loss.py | loss.py | py | 3,427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.mean",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.std",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "vle.modules.functional.epsilon",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.abs",
"... |
2535754227 | from twisted.internet import reactor
from twisted.python import log
from twisted.internet.error import AlreadyCalled, AlreadyCancelled
from utils import get_uid
do_log = False
from functools import wraps
from twisteddicom import __version__, pdu, sockhandler
def debugrecv(f, msg=None):
@wraps(f)
def wrapper(... | rickardholmberg/twisteddicom | twisteddicom/upper_layer.py | upper_layer.py | py | 19,425 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "twisted.python.log.msg",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "twisted.python.log",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "twisted.pyt... |
72965010109 | from urlparse import urlparse
import urllib2
from bs4 import BeautifulSoup
import mmap
#html =
'''
<tr class="">
<td class="lp-race"><a href="/epolls/2016/president/fl/florida_trump_vs_clinton_vs_johnson_vs_stein-5963.html">Florida: Trump vs. Clinton vs. Johnson vs. Stein</a></td>
<td class="lp-po... | jackbandy/hw6-election | rcp_poll_list/rcp_poll_url_crawler_state.py | rcp_poll_url_crawler_state.py | py | 3,853 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib2.Request",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mmap.mmap",
"li... |
34435447403 | #pip install requests
from flask import Flask, render_template, request
from bs4 import BeautifulSoup
import requests
app = Flask(__name__)
app.config['SECRET_KEY'] = '%'
app.config['NOME_SITE'] = 'Contador de Tags HTML'
@app.route('/')
def indice():
return render_template('indice.html', nome_site = ap... | Gabriel-Angelo-Silva/contador-de-tags | app.py | app.py | py | 1,179 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
... |
8520759440 | #!/usr/local/bin/python
# -*- coding: utf-8 -*-
import requests
import json
import io
import os
import time
import datetime
import pyodbc
import concurrent.futures
import openpyxl
import pandas
from time import sleep
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.support.u... | WayneTzeng/GetMakeupData | DATA/Upcollections.py | Upcollections.py | py | 2,655 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "tim... |
73814857146 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
脚本名:
Created on 2018-08-01
@author:David Yisun
@group:data
"""
import sys
sys.path.append('../')
import codecs
import json
import re
with codecs.open('../data/train_data/chongzu/mark_in_content/mark_in_content.csv', 'r', 'utf8') as f:
data = f.read()
data =... | davidyisun/announcement_extract | scripts/temp2.py | temp2.py | py | 781 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "codecs.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number":... |
5508362980 | import torch
import os
import numpy as np
from datetime import datetime
import train.torch_model
import torch.optim as optim
import torch.nn as nn
def run():
'''
'''
max_epochs = 200
batch_size = 32
TRAIN_FOLDER_PATH = 'storage/processed/train/'
VAL_FOLDER_PATH = 'storage/processed/validation... | R-Stefano/betse-ml | train/__init__.py | __init__.py | py | 3,399 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name... |
22677928201 | from django.test import TestCase
from django.core.management import call_command
from django.test.client import Client
from .models import CsvData
from .forms import MastForm
class Mast_app_Test(TestCase):
"""Testing that we get the correct data back from templates"""
fixtures = ["mast_app.json"]
def test_index(s... | taiChantarungsee/masts | mast_app/tests.py | tests.py | py | 2,578 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.test.client.Client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "mo... |
29478250891 | from pyvows import Vows, expect
from thumbor.handlers import BaseHandler
from thumbor.context import Context
from thumbor.config import Config
from thumbor.app import ThumborServiceApp
from mock import MagicMock
@Vows.batch
class BaseHandlerVows(Vows.Context):
class ShouldStoreHeaderOnContext(Vows.Context):
... | ryanio/thumbor | vows/base_handler_vows.py | base_handler_vows.py | py | 1,053 | python | en | code | null | github-code | 6 | [
{
"api_name": "pyvows.Vows.Context",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pyvows.Vows",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pyvows.Vows.Context",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyvows.... |
15627091146 | import os
import os.path
import urllib.request
import unidecode
import utils
import numpy as np
import json
def get_cards(cube_name, root = "https://cubecobra.com"):
url = root + "/cube/api/cubelist/" + cube_name
fp = urllib.request.urlopen(url)
mybytes = fp.read()
mystr = mybytes.decode("utf8")
fp... | RyanSaxe/CubeCobraRecommender | src/non_ml/update_data.py | update_data.py | py | 1,499 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
26932152395 | import json
from Common import aes_crypt
class Params(object):
def __init__(self):
self.commn_params = {
'gimiPid': 'EHFAJEF79TAU', 'gimiDevice': 'aosp_synsepalum_YN', 'xgimiDeviceName': 'synsepalum_Y',
'deviceMac': '80-0B-52-02-44-26', 'systemVersion': 'v1.6.23', 'launcherVersion... | UncleLiketao/API_AutoTest_Framework_Python | Common/params.py | params.py | py | 1,064 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Common.aes_crypt.AesCrypt",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Common.aes_crypt",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "json.dumps",
... |
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