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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16462145161 | import cv2
import numpy as np
# np.set_printoptions(threshold=np.inf)
import time
from collections import deque
import threading
# Low Quality
# PAUSE_INDICATOR = (-1, 0)
# RESOLUTION = "480p15"
# FPS = 15
# Production quality
PAUSE_INDICATOR = (-1, 0)
RESOLUTION = "1440p60"
FPS = 60
cv2.namedWindow("Frame", 0);
cv... | bsamseth/masters-presentation | player.py | player.py | py | 5,552 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "cv2.namedWindow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.resizeWindow",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.WND_PROP_FULLSCR... |
15191375755 | from collections import defaultdict, deque
class Solution:
def isBipartite(self, graph: List[List[int]]) -> bool:
color = defaultdict(int)
seen = set()
q = deque()
for node1 in range(len(graph)):
if node1 in seen:
continue
color[node1] = 1
... | Dumbris/leetcode | medium/785.is-graph-bipartite.py | 785.is-graph-bipartite.py | py | 1,085 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
43724375221 | import sys
from PySide6.QtGui import QGuiApplication
from PySide6.QtQml import *
from ppt import Maker
if __name__ == "__main__":
app = QGuiApplication(sys.argv)
qmlRegisterType(Maker, "ppt", 1, 0, "Maker")
engine = QQmlApplicationEngine()
engine.load('main.qml')
if not engine.rootObjects():
... | JunTae90/MinChae | main.py | main.py | py | 400 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PySide6.QtGui.QGuiApplication",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "ppt.Maker",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "sys.exit",
... |
8397431053 |
import os
from wsgiref.simple_server import make_server
from pyramid.config import Configurator
from colander import (
Boolean,
Integer,
Length,
MappingSchema,
OneOf,
SchemaNode,
SequenceSchema,
String
)
from deform import (
Form,
ValidationFailure,
widget
)
here = os.p... | tennisracket/bonkh | bonkh/bonkh/app.py | app.py | py | 1,227 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "colander.MappingSchema",... |
2845548081 | from django.shortcuts import render
from .models import Directores, Peliculas
def index (request):
directores = Directores.objects.all()
return render(request, 'index.html', context={
'directores': directores,
})
# Capturando la variable ids pasada en la url
# El nombre de la variable debe coinc... | Ranset/django_openbootcamp_exercise12 | directores/views.py | views.py | py | 1,805 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "models.Directores.objects.all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Directores.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.Directores",
"line_number": 6,
"usage_type": "name"
},
{
"api_n... |
27250414296 | import django
from django.contrib import admin
from django.urls import path, include
from django.conf.urls.static import static
from django.conf import settings
from drf_yasg.views import get_schema_view
from rest_framework.permissions import AllowAny
from drf_yasg import openapi
schema_url_v1_patterns = [
path(... | moon-hy/lunch-recommendation | config/urls.py | urls.py | py | 1,754 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.inc... |
41417945016 | #!/usr/bin/env python3
# Cryptopals Challenge, Set 2, Challenge 12
# CJ Guttormsson
# 2017-01-03
import sys
sys.path.append('..')
from common import (get_random_key, base64_to_bytes, aes_128_ecb_encrypt,
guess_mode, pkcs7_pad)
import random
import itertools
#############
# CONSTANTS #
##########... | cjguttormsson/cryptopals | set2/challenge12.py | challenge12.py | py | 3,257 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "common.get_random_key",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "common.base64_to_by... |
1112432236 | import numpy as np
from PIL import Image
import re
from wordcloud import WordCloud, ImageColorGenerator, STOPWORDS
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
mask= plt.imread('b.jpg')
#准备utf-8编码的文本文件file
fo=open('input.txt', 'r', encoding='utf-8')
strThousand = fo.read().lower()
fo.close()
#print(... | Wang993/code_ | code/ENGLISH WORD FRUQUECY_wordcloud.py | ENGLISH WORD FRUQUECY_wordcloud.py | py | 1,768 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "wordcloud.WordCloud",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "matplotl... |
1492499597 | import pymysql
from pymysql import connect
# from baiyu.function.zudai_to_fumudai import *
from baiyu.models import *
import datetime
class OpenDB(object):
def __init__(self):
# 初始化
self.conn = connect(host='localhost', port=3306, user='root', password='123456', database='forecastsystem', charset=... | Suefly/BoyarForecastSystem | baiyu/db.py | db.py | py | 45,424 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.connect",
"line_number": 11,
"usage_type": "call"
}
] |
71888988667 | """
需要备份的文件和目录由一个列表指定。
备份应该保存在主备份目录中。
文件备份成一个zip文件。
zip存档的名称是当前的日期和时间。
我们使用标准的zip命令，它通常默认地随Linux/Unix发行版提供。Windows用户可以使用Info-Zip程序。注意你可以使用任何地存档命令，
只要它有命令行界面就可以了，那样的话我们可以从我们的脚本中传递参数给它。
"""
import zipfile
def zip_files(files, zip_name):
zip = zipfile.ZipFile( zip_name, 'w')
for file in files:
print (... | fivespeedasher/Pieces | 重要文件创建备份.py | 重要文件创建备份.py | py | 874 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 16,
"usage_type": "call"
}
] |
43633665683 | # pylint: disable=no-self-use,invalid-name
from __future__ import division
from __future__ import absolute_import
import pytest
from allennlp.data.dataset_readers.conll2003 import Conll2003DatasetReader
from allennlp.common.util import ensure_list
from allennlp.common.testing import AllenNlpTestCase
class TestConll... | plasticityai/magnitude | pymagnitude/third_party/allennlp/tests/data/dataset_readers/conll2003_dataset_reader_test.py | conll2003_dataset_reader_test.py | py | 1,471 | python | en | code | 1,607 | github-code | 6 | [
{
"api_name": "allennlp.data.dataset_readers.conll2003.Conll2003DatasetReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "allennlp.common.testing.AllenNlpTestCase.FIXTURES_ROOT",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "allennlp.common.testin... |
20573212978 | from flask import Flask, send_file
app = Flask(__name__)
from tools.sound_file_generator import sound_generator
from tools.interval import Interval
@app.route("/")
def index ():
return "MusicApp is active"
@app.route("/audiofile/<note>")
def get_note_sound(note):
generator = sound_generator()
sound_url = ... | DanieleSpera/EarTraningAPI | __init__.py | __init__.py | py | 822 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "tools.sound_file_generator.sound_generator",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.send_file",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
21217863407 | import cgi
from http.server import BaseHTTPRequestHandler,HTTPServer
from db_setup import Base,Restaurant,MenuItem
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
engine = create_engine('sqlite:///restaurantmenu.db')
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
sess... | SelbayevAlmas/fullstack_foundations_example | myserver.py | myserver.py | py | 7,756 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "db_setup.Base.metadata",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "db_setup.Base",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sq... |
27009683508 | from sklearn.gaussian_process import GaussianProcessRegressor
def run(x_train, y_train, x_test, y_test,
kernel, alpha, optimizer, n_restarts_optimizer, normalize_y, copy_X_train, random_state
):
reg = GaussianProcessRegressor(kernel=kernel,
alpha=alpha,
... | lisunshine1234/mlp-algorithm-python | machine_learning/regression/gaussian_processes/GaussianProcessRegressor/run.py | run.py | py | 1,133 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.gaussian_process.GaussianProcessRegressor",
"line_number": 7,
"usage_type": "call"
}
] |
30107078628 | """ Python Package Imports """
# Not Applicable
""" Django Package Support """
from django.contrib import admin
""" Internal Package Support """
""" -- IMPORTED AT APPROPRIATE SUBSECTION -- """
"""
event/admin.py
Author: Matthew J Swann
Version: 1.0
Last Update: 2014-06-05
Update b... | mjs0031/view_trials | Event/admin.py | admin.py | py | 1,197 | python | en | code | 0 | github-code | 6 | [
{
"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": "django.contrib.admin.site.register",
"line_number": 42,
"usage_type": "call"
... |
36052032500 | import cv2
cap = cv2.VideoCapture(1,cv2.CAP_DSHOW)
if not cap.isOpened:
print('Cant open camera')
exit(0)
cap.set(3,480)
cap.set(4,720)
cnt = 80
path = "Main_picture/"
ret,frame = cap.read()
H,W,_ = frame.shape
while True:
ret,frame = cap.read()
cv2.circle(frame,(W//2,H//2),5,(0,255,0),-1)
... | HieunnUTE/Rubik-solver-with-Image-processing | capture.py | capture.py | py | 628 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_DSHOW",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "cv2.circle",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_... |
9074380203 |
import requests
import pandas as pd
from pytube import YouTube, Search
import os
from pathlib import Path
from .serializers import *
# Youtube credentials
YOUTUBE_KEY_API = 'YOUR_YOUTUBE_KEY_API'
# Setting url for videos and searching list
SEARCH_URL = 'https://www.googleapis.com/youtube/v3/search'
VIDEOS_URL = 'htt... | nikavgeros/DJ-Studio | backend/dj_studio/utils.py | utils.py | py | 9,608 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path.home",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "requests.json",
"line... |
42483090749 | # pylint: disable=redefined-outer-name, unused-argument
"""
test src/config.py
"""
from contextlib import contextmanager
import pytest
from src.config import ConfigLoader
@contextmanager
def mock_open(config_content):
"""
Create config from mock file
"""
try:
yield config_content
finally... | dom38/secret-distribution-operator | tests/config_test.py | config_test.py | py | 1,161 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "contextlib.contextmanager",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "src.config.ConfigLoader",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": ... |
26555794429 | from django.test import TestCase
from django.contrib.contenttypes.models import ContentType
from .models import RootObject, Uri
class ModelTestCase(TestCase):
def setUp(cls):
# Set up data for the whole TestCase
user_type = ContentType.objects.get(app_label="auth", model="user")
RootObjec... | acdh-oeaw/apis-core-rdf | apis_core/apis_metainfo/test_models.py | test_models.py | py | 778 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects",
"line... |
2831089261 | import threading
from time import time
from time import sleep
import asyncio
import tornado.web
import tracemalloc
from hoverbotpy.controllers.constants import PORT
from hoverbotpy.drivers.driver_dummy import DummyHovercraftDriver
from hoverbotpy.drivers.threading_dummy import ThreadingDummy
from hoverbotpy.drivers.... | olincollege/hoverbois | hoverbotpy/src/hoverbotpy/controllers/web_controller.py | web_controller.py | py | 5,781 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tracemalloc.start",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "hoverbotpy.drivers.driver_dummy.DummyHovercraftDriver",
"line_number": 45,
"usage_type": "call"... |
28960969271 | import gpudb
import collections
import time
import pandas as pd
pd.options.display.max_columns = 100
pd.set_option('display.width', 10000)
# init
TABLE = "risk_inputs"
COLLECTION = "RISK"
NEW_TABLE = "bs_stream"
HOST = "<ipaddress>"
ENCODING = "binary"
PORT = "9191"
DATA_PACK = 1
INGEST_FREQ = 3
"Execute python scrip... | nickalonso/Utilities | stream.py | stream.py | py | 5,101 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.options",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pandas.set_option",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gpudb.GPUdb",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "gpudb.GPUdb",
"li... |
15932153331 | """
A simple cache system for storing such things as project hierarchies and templates.
By default uses diskcache for simpler setup and backward compatibility
unless 'memcached' is set in the 'cache' section of the
config, in which case use that.
"""
import logging
from hydra_base import config as hydr... | hydraplatform/hydra-base | hydra_base/lib/cache.py | cache.py | py | 1,015 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hydra_base.config.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "hydra_base.config",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "diskcache.C... |
30513785226 | from gaesessions import get_current_session
import logging
import levr_classes as levr
import levr_encrypt as enc
import base64
from google.appengine.api import urlfetch,taskqueue
import json
import urllib
from datetime import datetime, timedelta
def login_check(self):
''' for merchants ONLY
check if logged in, and... | holmesal/levr-2 | merchant_utils.py | merchant_utils.py | py | 4,377 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gaesessions.get_current_session",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.in... |
24582961875 | import os
# accessible as a variable in index.html:
from sqlalchemy import *
from sqlalchemy.pool import NullPool
from flask import Flask, request, render_template, g, redirect, Response
from flask import redirect, url_for
tmpl_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'templates')
a... | YueWang417/w4111-proj1-group69 | webserver/server.py | server.py | py | 9,229 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_nu... |
72698063549 | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 21 10:29:50 2018
@author: qwzhou
"""
"""
=======================================
plot line and dash
=======================================
ASM across the site
"""
import numpy as np
import matplotlib.pyplot as plt
import sys
from matplotlib.backends.backend_pdf import P... | ZhouQiangwei/MethHaploScripts | plotASM-expressiongene.py | plotASM-expressiongene.py | py | 5,901 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "matplotli... |
30414879190 | """SQLAlchemy models for quiz and quiz questions"""
from datetime import datetime
from models.model import db
from models.quiz_attempt import QuestionAttempt
import sys
sys.path.append('../')
from generator.generator import create_quiz
def search_slug(context):
"""Turns the plant slug into a string suitable for ... | lauramoon/capstone-1 | models/quiz.py | quiz.py | py | 3,101 | python | en | code | 0 | 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": "models.model.db.Model",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "models.model.d... |
30217438684 | import seaborn as sns
import matplotlib.pyplot as plt
#%matplotlib inline
tips = sns.load_dataset('tips')
fluege = sns.load_dataset('flights')
###Matrixplots###
#Heatmap
#Damit die Heatmap gut funktioniert sollten eure Daten bereits in Matrixform vorliegen. Die sns.heatmatp() übernimmt dann die Einfärbung dieser Date... | ThePeziBear/MyPythonLibrary | Visualizing_Python/Seaborn/2_matrix_regression_function_seaborn.py | 2_matrix_regression_function_seaborn.py | py | 2,082 | python | de | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.load_dataset",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "seaborn.load_dataset",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "seaborn.heatmap",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
10294260342 | __url__ = "$URL: svn://gizmojo.org/pub/evoque/trunk/domain.py $"
__revision__ = "$Id: domain.py 1153 2009-01-20 11:43:21Z mario $"
import sys, logging
from evoque.collection import Collection
from evoque.evaluator import set_namespace_on_dict, xml
def get_log():
logging.basicConfig(level=logging.INFO,
f... | phonybone/Rnaseq | ext_libs/evoque/domain.py | domain.py | py | 7,129 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "evoque.collec... |
29699780347 | import pandas as pd
import numpy as np
import geopandas as gpd
import matplotlib.pyplot as plt
from scipy import ndimage
import geoplot
import matplotlib.pylab as pylab
# import geoplot as gp
from models import Simulation, NTAGraphNode, DiseaseModel
def read_hospital_data(filename):
df = pd.read_csv(filename,... | cwaldron97/Comp-Epi-Project | hospitals.py | hospitals.py | py | 2,990 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "geoplot.polyplot",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "geoplot.crs.AlbersEq... |
1706295460 | import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import numpy as np
from sklearn.model_selection import train_test_split
# MED分类器
class Medclass:
def __init__(self):
self.center_dict = {} # 分类中心点，以类别标签为键 label: center_po... | suudeer/iris-su2021 | iris-su2021/iris/main.py | main.py | py | 11,704 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.dot",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 105,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
45180348436 | #判断一个视频是否属于幽默类还是实用类
import numpy as np
import operator
from matplotlib import pyplot as plt
def traindataset():
datagroup=np.loadtxt('C:\\Users\\Dell\Desktop\\classification\\diabetes_train.txt',dtype=float,delimiter=',')
dataset=datagroup[:,1:]
label=datagroup[:,0]
return dataset,label
def testdat... | lijiaming666/Python_demo | K近邻法+ROC.py | K近邻法+ROC.py | py | 2,540 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.tile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"l... |
2373356170 | from huggingface_hub import login
from transformers import AutoTokenizer, AutoModelForCausalLM, LlamaTokenizer
login(token='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')
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-13b-chat-hf")
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf")... | mario872/Isaac-Voice-Assistant | main/Llama2.py | Llama2.py | py | 612 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "huggingface_hub.login",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 6,
"usage_type": "name"
},
... |
4357761100 | from flask_wtf import Form
from wtforms import StringField, TextAreaField, SelectField
from wtforms import SubmitField, validators
# from wtforms.ext.sqlalchemy.fields import QuerySelectField
from ..models import Department, Service
class RequestForm(Form):
'''This class creates an RequestForm
object.
'''... | bazanovam/smartIT | app/request/forms.py | forms.py | py | 1,819 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_wtf.Form",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.Required",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "wtforms... |
17767255083 | from datetime import datetime
import uuid
class Order():
def __init__(self, order):
self.__dict__ = order
self.id = str(uuid.uuid4())
class RenderDishInfo():
def __init__(self, id, name, shelf, value, isPicked, isDecayed):
self.id = id
self.name = name
self.shelf = shelf
self.value = value
self.isPic... | purifier1990/PythonLearn | kitchen/order.py | order.py | py | 363 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "uuid.uuid4",
"line_number": 7,
"usage_type": "call"
}
] |
73758139386 | """Docstring"""
import os
import ezdxf
from .file_utilities import check_file
def check_file_and_folder(
path, save_path, save=True
) -> list[ezdxf.document.Drawing] | None:
"""
Handle file or folder to apply the cleaning process
"""
if os.path.isdir(path):
list_dir = os.listdir(path)
... | ldevillez/pySwTools | pyswtools/ready_dxf/dxf_utilities.py | dxf_utilities.py | py | 1,326 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.path.isdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 1... |
21485752439 | # import heapq
from collections import deque
class Solution:
def ladderLength(self, beginWord: str, endWord: str, wordList: List[str]) -> int:
wordList = set(wordList)
if endWord not in wordList:return 0
n = len(wordList)
# def getdist(x, y):
# count = 0
... | bboychencan/Algorithm | leetcode/127.py | 127.py | py | 2,238 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
}
] |
26447487026 | import os
import json
from PIL import Image
import numpy as np
from numpy.core.numeric import full
import torch
from torch.utils.data import Dataset
from tqdm import tqdm
import sys
from pcl_generator import PointCloudGenerator
from lidar_generator import PseudoLidarGenerator
def load_pose(extrinsics: dict) -> np.a... | jonathsch/multisensor | pseudolidar/pseudo_lidar_dataset.py | pseudo_lidar_dataset.py | py | 18,526 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sin",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 24,
... |
18417538437 | from typing import List
from functools import lru_cache
class Solution:
def canJump_top_down(self, nums: List[int]) -> bool:
n = len(nums)
@lru_cache(None)
def can_jump(i):
if i < 0 or i >= n:
return False
if i + nums[i] >= n - 1:
ret... | ace-wu/oj | leetcode/0055-jump-game.py | 0055-jump-game.py | py | 850 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "functools.lru_cache",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
}
] |
42667622123 | from models import db
from flask import Flask, request, jsonify
from bson.json_util import dumps
def getPacientes():
con = db.get_connection()
dbejercicios = con.ModeloEjercicios
try:
pacientes = dbejercicios.pacientes
retorno = dumps(pacientes.find({}))
return jsonify(retorno)
... | andres94091/projectEjerciciosBackend | models/pacientes.py | pacientes.py | py | 2,139 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "models.db.get_connection",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.db",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "bson.json_util.dumps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",... |
41366711164 | # -*- encoding: utf-8 -*-
import sys, argparse, json, ovh, re, datetime,configparser
from urllib import parse
def main(argv):
parser = argparse.ArgumentParser()
parser.add_argument('--url','-u', help='Url recu par email du type https://www.ovh.com/manager/#/useraccount/contacts/123456?tab=REQUESTS&token=monsupe... | FlorianKronos/ovh-api-scripts | acceptTranfert.py | acceptTranfert.py | py | 2,376 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ovh.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse_qs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "urllib.parse",... |
25002494348 | #author Duc Trung Nguyen
#2018-01-06
#Shopify Back End Challenge
from Menu import Menu
import json
def parse_menu(menu, py_menus):
this_id = menu['id']
this_data = menu['data']
this_child = menu['child_ids']
if not 'parent_id' in menu:
py_menus.append(Menu(this_id, this_data... | suphuvn/Shopify-Back-End-Challenge | Shopify Back End Challenge.py | Shopify Back End Challenge.py | py | 1,426 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Menu.Menu",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 34,
"usage_type": "call"
}
] |
42727324036 | import os
import csv
import numpy as np
import sys
from PIL import Image
class DataBuilder:
def __init__(self, image_dir, label_file, output_dir,output_file, output_label_file, target_size):
self.image_dir = image_dir
self.label_file = label_file
self.target_size = target_size
self.... | maximiliann97/TIF360-project-GIF-emotion-flipper | generate_data/DataBuilder.py | DataBuilder.py | py | 4,326 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 36,... |
22857897162 | #!/usr/bin/env python
"""
Parses information from aql and outputs them to one JSON
input:
stdin: json aql output
e.g. aql -c "SHOW SETS" -o json | head -n -3
return:
JSON string
[[{...], {...}]] - for each server list of stats (e.g for each set)
"""
import sys
import json
data = []
json_in... | tivvit/aerospike-tools-parsers | parse_aql.py | parse_aql.py | py | 598 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 31,
"usage_type": "call"
}
] |
24764641791 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from .module import Module
from ...autograd import Variable, Backward
class Regression(Module):
'''Base loss function class for Regression task\n
Regression is the task of approximating a mapping function (f) from input variable... | Kashu7100/Qualia | qualia/nn/modules/loss.py | loss.py | py | 10,787 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "module.Module",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.mean",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "autograd.Variable",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_numb... |
12061356200 | import tweepy
from textblob import TextBlob
consumer_key = 'EjXTChxrOmEWULyuuJ8iDXdyQ'
consumer_secret = 'NrtHvELXi0i6dtue39icLkrT3rrrUVHKWOlHWWGJm46LQGell5'
access_token = '1425159876-T5yoGiyxFk2sAdsZNjGVLRa94988APPcV4TI7R6'
access_token_secret = 'JsCnvZPbnn93qefEM187dPnUcdCn5pby220IiU3D1aKam'
auth =tweepy.OAuthHan... | HirdyaNegi/Senti2weet | test.py | test.py | py | 803 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob",
"line_number": 22,
"usage_type": "call"
}
] |
24370435806 | from setuptools import setup, find_packages
VERSION = "0.1"
DESCRIPTION = "A Lagrangian Particle Tracking package"
LONG_DESCRIPTION = "Includes a set of tools for Lagrangian Particle Tracking like search, interpolation, etc."
# Setting up
setup(
# name must match the folder name
name="project-arrakis",
ve... | kalagotla/project-arrakis | setup.py | setup.py | py | 946 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
29673725009 | import flask
import flask_login
from flask_dance.contrib.google import make_google_blueprint, google
from flask_dance.consumer import oauth_authorized
import iou.config as config
from iou.models import User
google_blueprint = make_google_blueprint(
scope=["email"],
**config.googleAuth
)
login_manager = flask... | komackaj/flask-iou | iou/login.py | login.py | py | 1,382 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_dance.contrib.google.make_google_blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "iou.config.googleAuth",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "iou.config",
"line_number": 11,
"usage_type": "name"
},
{
... |
2799581400 | import streamlit as st
import pandas_ta as ta
import pandas as pd
import yfinance as yf
import pandas as pd; import numpy as np
st.title("Volatility Dashboard")
st.sidebar.title("selection")
option = st.sidebar.selectbox("options",('long signal', 'short signal', 'data frame', 'Important dates', 'implinks'))
st.subhead... | carolinedlu/volatility-dashboard | dashboard.py | dashboard.py | py | 7,458 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.title",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "streamlit... |
20546896703 | from typing import Tuple
from PIL import ImageColor
from PIL.ImageDraw import ImageDraw
from PIL.ImageFont import FreeTypeFont
from PIL import ImageFont
def wrap_text(text: str, width: int, font: FreeTypeFont) -> Tuple[str, int, int]:
text_lines = []
text_line = []
words = text.split()
line_height =... | realmayus/imbot | image/manipulation_helper.py | manipulation_helper.py | py | 3,154 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.ImageFont.FreeTypeFont",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "PIL.Imag... |
71602794748 | #
#
# Key-Holding-Macro made by JngVedere
# Github : https://github.com/JngVedere
# version 0.1.0 - Released on 03-06-2023
#
#
from tkinter import messagebox, ttk
from tendo import singleton
try:
singleton.SingleInstance()
except SystemExit as e:
messagebox.showerror("ERROR", e)
import tkint... | JngVedere/Key-Holding-Macro | main.py | main.py | py | 7,540 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tendo.singleton.SingleInstance",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tendo.singleton",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tkinter.messagebox.showerror",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
11779785900 | from scripts.util import read_supertopics, SuperTopic, get_spottopics, DateFormat, read_temp_dist
from typing import Literal
import numpy as np
import json
from prettytable import PrettyTable
DATASET = 'climate2'
LIMIT = 7000000
DATE_FORMAT: DateFormat = 'monthly'
NORM: Literal['abs', 'col', 'row'] = 'abs'
BOOST = ['r... | TimRepke/twitter-climate | code/figures/supertopics/spot_topic_stats.py | spot_topic_stats.py | py | 3,415 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scripts.util.DateFormat",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Literal",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scripts.util.read_temp_dist",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scr... |
314481349 | # imports
import os
import numpy as np
import pandas as pd
import pymysql
from pandas.plotting import table
import matplotlib.pyplot as plt
from datetime import datetime
from util.Event import Event
from matplotlib import rc
font = {'family' : 'DejaVu Sans',
'weight' : 'normal',
'size' : 12}
rc('font'... | noahfranz13/IOU | util/IO.py | IO.py | py | 8,566 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.rc",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "util.Event.Event",
... |
36146924870 | from PIL import Image
from DiamondDash.screenshot import Capturer
from DiamondDash.mouse import Mouse
import time
import random
colors = {}
C = Capturer(1048, 341)
M = Mouse(1048, 341)
def get_color(RGB):
if all(val < 60 for val in RGB):
return "B"
elif RGB in colors:
return colors[RGB]
... | rndczn/DiamondDashBot | brain.py | brain.py | py | 5,654 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "DiamondDash.screenshot.Capturer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "DiamondDash.mouse.Mouse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 141,
"usage_type": "call"
},
{
"api_name": ... |
74078752188 | # This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but
... | lalamax3d/FloorPlanCreator | __init__.py | __init__.py | py | 2,177 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bpy.types",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.PointerProperty",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bpy.props",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "fpc.FpcPropGr... |
9062401747 | def matrixplot(start_date,end_date,type,term,flag=True):
# Configure plotting in Jupyter
from matplotlib import pyplot as plt
# get_ipython().run_line_magic('matplotlib', 'inline')
# plt.rcParams.update({
# 'figure.figsize': (26, 15),
# 'axes.spines.right': False,
# 'axes.spines.left... | ljiaqi1994/Pledge-Repo | 质押式回购_类别矩阵_删减mysql.py | 质押式回购_类别矩阵_删减mysql.py | py | 6,632 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "n... |
35161911497 | from dhooks import Webhook
from dhooks import Embed
from datetime import date,datetime
import json
embed=Embed(
title="Sucessful Checout!",
url="https://twitter.com/_thecodingbunny?lang=en",
color=65280,
timestamp="now"
)
hook=Webhook("https://discordapp.com/api/webhooks/715950160185786399... | 1mperfectiON/TCB-Project1 | fake_bot_webhook.py | fake_bot_webhook.py | py | 1,445 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dhooks.Embed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "dhooks.Webhook",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
14550843664 | import pytest
from single_number import Solution
from typing import List
@pytest.mark.parametrize(
'nums, expected',
[
([2, 2, 1], 1),
([4, 1, 2, 1, 2], 4),
([1], 1),
]
)
def test_single_number(nums: List[int], expected: int):
solution = Solution()
assert expected == soluti... | franciscoalface/leet-code | src/136.single_number/test_single_number.py | test_single_number.py | py | 343 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "single_number.Solution",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark... |
38460841413 | import pygame
pygame.init()
font = pygame.font.Font(pygame.font.get_default_font(), 18)
class Components:
def __init__(self, window: pygame.Surface) -> None:
self.window = window
self.buttons = list()
def Button(self, name: str):
text = font.render(name, False, (0, 0, 0))
rec... | legit-programmer/bit-texture | ui.py | ui.py | py | 1,642 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.font.Font",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.get_default_fo... |
37983159283 | from fastapi import FastAPI, Response, status,HTTPException
from fastapi.params import Body
from pydantic import BaseModel
from typing import Optional
from random import randrange
app = FastAPI()
class Post(BaseModel):
title: str
content: str
published: bool = True
rating: Optional[int] = None
m... | RahimUllah001/FastAPI_PROJECT | main.py | main.py | py | 2,278 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "random.randrange",... |
8592665762 | from django.urls import path
from App import views
from django.urls import path
from django.contrib.auth import views as g
urlpatterns = [
path('',views.home,name="hm"),
path('abt/',views.about,name="ab"),
path('ap/',views.products,name="pro"),
path('vege/',views.vegetables,name="veg"),
path('fru/',views.fruits,n... | TataTejaswini/Django-Project | App/urls.py | urls.py | py | 831 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "App.views.home",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "App.views",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"l... |
4927702164 | # -*- coding: utf-8 -*-
import json
import pickle
import numpy as np
import random
def preprocess_train_data():
"""
Convert JSON train data to pkl
:param filename:
:return:
"""
f = open('train.json', 'r')
raw_data = json.load(f)
f.close()
def get_record(x):
band_image... | wondervictor/KaggleIceberg | data/data_process.py | data_process.py | py | 2,431 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 28... |
40276526905 | import cv2
import random
import numpy as np
from PIL import Image
from compel import Compel
import torch
from diffusers import StableDiffusionInpaintPipeline, StableDiffusionUpscalePipeline
from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation
def seed_everything(seed):
random.seed(seed)
np... | Anears/SHIFT | models/shift.py | shift.py | py | 4,678 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
74557703866 | from django.shortcuts import render, redirect, get_object_or_404
from board.models import Post, Comment
from board.forms import PostForm, SignupForm, CommentForm
from django.http import HttpResponse
from django.contrib.auth.models import User
from django.views.generic import TemplateView, ListView
from django.utils i... | Xiorc/Concofreeboard | board/views.py | views.py | py | 3,289 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "board.models.Post",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "board.models.Post.objects.order_by",
"line_number": 21,
"usage_type": "call"
},
{
... |
74118711867 | #!/usr/bin/env python3
"""
test_utils.py
contains the tests for the functions in the utils.py file
defined in the current directory
"""
from parameterized import parameterized
from utils import access_nested_map, get_json, memoize
from unittest.mock import patch, Mock
import unittest
class TestAccessNestedMap(unitte... | PC-Ngumoha/alx-backend-python | 0x03-Unittests_and_integration_tests/test_utils.py | test_utils.py | py | 2,308 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "utils.access_nested_map",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "parameterized.parameterized.expand",
"line_number": 18,
"usage_type": "call"
},
{
... |
41776384713 | # An ETL Reads and processes files from song_data and log_data and loads them into dimensional and fact tables
#===========================================================
#Importing Libraries
import os
import glob
import psycopg2
import pandas as pd
from sql_queries import *
#========================================... | Marvykalu/DataEngineering | data-modeling-postgresql/etl.py | etl.py | py | 6,006 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_json",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "psycopg2.Error",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.Error",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_... |
70128470908 | # 1.парсим; headers берём из бразуера консоли разработчика (Network->Request)
# 2.сохраняем локально в файл
# 3.работаем с локальными данными
import json
import requests
from bs4 import BeautifulSoup
import csv
from time import sleep
import random
import local_properties as lp
url = lp.HEALTH_DIET_URL
headers = {
... | ildar2244/EdScraping | health_diet.py | health_diet.py | py | 6,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "local_properties.HEALTH_DIET_URL",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "local_properties.HEADER_USER_AGENT",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 47,
"usage_type": "call"
},
... |
17838892540 | import numpy as np
import cv2
# import ipdb
import opts
def computeH(x1, x2):
#Q2.2.1
#Compute the homography between two sets of points
num_of_points = x1.shape[0]
# Construct A matrix from x1 and x2
A = np.empty((2*num_of_points,9))
for i in range(num_of_points):
# Form A
Ai = np.array([[-x2[i,0], -x2[i,... | blakerbuchanan/computer_vision | augmented_reality/code/planarH.py | planarH.py | py | 5,340 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.empty",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.svd",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_num... |
37136495284 | from keras.engine.saving import load_model
from argparse import ArgumentParser
import utils
def build_parser():
par = ArgumentParser()
par.add_argument('--word_features_path', type=str,
dest='word_features_path', help='filepath to save/load word features', default='feature_word')
par... | cindyyao/image_search | index.py | index.py | py | 2,983 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "utils.load_glove_vectors",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "utils.load_paired_img_wrd",
"line_number": 37,
"usage_type": "call"
},
{
"api_nam... |
35126198992 | from unittest.mock import patch
from uuid import UUID, uuid4
import pytest
from pasqal_cloud import SDK, Workload
from pasqal_cloud.errors import (
WorkloadCancellingError,
WorkloadCreationError,
WorkloadFetchingError,
WorkloadResultsDecodeError,
)
from tests.test_doubles.authentication import FakeAut... | pasqal-io/pasqal-cloud | tests/test_workload.py | test_workload.py | py | 6,862 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "uuid.UUID",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "uuid.UUID",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_nu... |
2908163256 | from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Union
from supertokens_python.normalised_url_path import NormalisedURLPath
from supertokens_python.querier import Querier
if TYPE_CHECKING:
from .utils import JWTConfig
from .interfaces import CreateJwtResult
from super... | starbillion/supertokens_python | supertokens_python/recipe/jwt/recipe_implementation.py | recipe_implementation.py | py | 2,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "supertokens_python.recipe.jwt.interfaces.RecipeInterface",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "supertokens_python.querier.Querier",
"line_number": 22,
"usa... |
70767464828 | """empty message
Revision ID: 4fa0d71e3598
Revises: bdcfc99aeebf
Create Date: 2021-07-31 23:47:02.420096
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '4fa0d71e3598'
down_revision = 'bdcfc99aeebf'
branch_labels = None... | AbundantSalmon/judo-techniques-bot | judo_techniques_bot/migrations/versions/2021-07-31_4fa0d71e3598_.py | 2021-07-31_4fa0d71e3598_.py | py | 891 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialect... |
75341512506 | """Script to run antsBrainExtraction on meningioma T1-contrast data.
"""
import os.path as op
from nipype import Node, Workflow, DataGrabber, DataSink, MapNode
from nipype.interfaces import ants
# Node to grab data.
grab = Node(DataGrabber(outfields=['t1c']), name='grabber')
grab.inputs.base_directory = op.abspath('da... | kaczmarj/meningioma | scripts/run_ants_brainextraction.py | run_ants_brainextraction.py | py | 1,750 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "nipype.Node",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nipype.DataGrabber",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
17012330786 | from flask import Flask, render_template, request, redirect, url_for
from pymongo import MongoClient
client = MongoClient(
"<mongo db cluter url>")
NameListDatabase = client.NameListDatabase
CollectionList = NameListDatabase.CollectionList
app = Flask(__name__)
def getallnames():
namelist = []
names = C... | smartkeerthi/Python-MongoDB-Flask-Projects | Flask and pymongo/main.py | main.py | py | 953 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
28830646732 | """Constants for the WiHeat Climate integration."""
import logging
API_URL = 'https://wi-heat.com/'
ID = 'home-assistant'
SESSION = 'A2B3C4D5E6'
DOMAIN = "wiheat"
CONF_CODE_FORMAT = "code_format"
CONF_CODE = "code"
CONF_TEMP = "temp"
UPDATE_INTERVAL = "timesync"
MIN_SCAN_INTERVAL = 60
API_ENDPOINT = {
'getUser... | kimjohnsson/wiheat | custom_components/wiheat/const.py | const.py | py | 861 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 51,
"usage_type": "call"
}
] |
5423305185 | '''
@author：KongWeiKun
@file: follower_crawler.py
@time: 18-2-13 下午3:57
@contact: 836242657@qq.com
'''
from multiprocessing import Pool,cpu_count,Lock,Manager
import pandas as pd
import threading
import csv
import requests
from bs4 import BeautifulSoup
import re
try:
from functools import namedtuple
except:
fro... | Winniekun/spider | github/follower_crawler.py | follower_crawler.py | py | 4,422 | python | en | code | 139 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Manager",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "threa... |
38046142992 | from cffi import FFI as _FFI
import numpy as _np
import glob as _glob
import os as _os
__all__ = ['BloscWrapper']
class BloscWrapper:
def __init__(self, plugin_file=""):
this_module_dir = _os.path.dirname(_os.path.realpath(__file__))
# find the C library by climbing the directory tree
... | ActivisionGameScience/ags_example_py_wrapper | ags_py_blosc_wrapper.py | ags_py_blosc_wrapper.py | py | 4,277 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
32907694123 | # 1 Add the usual reports
from sklearn.metrics import classification_report
y_true = [1, 0, 0, 2, 1, 0, 3, 3, 3]
y_pred = [1, 1, 0, 2, 1, 0, 1, 3, 3]
target_names = ['Class-0', 'Class-1', 'Class-2', 'Class-3']
print(classification_report(y_true, y_pred, target_names=target_names))
# 2 Run the code and see
# Instead of... | IbrahimOued/Python-Machine-Learning-cookbook | 2 Constructing a Classifier/performance_report.py | performance_report.py | py | 447 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.metrics.classification_report",
"line_number": 6,
"usage_type": "call"
}
] |
10543642062 | from redis.commands.search.field import GeoField, NumericField, TextField, VectorField
REDIS_INDEX_NAME = "benchmark"
REDIS_PORT = 6380
H5_COLUMN_TYPES_MAPPING = {
"int": NumericField,
"int32": NumericField,
"keyword": TextField,
"text": TextField,
"string": TextField,
"str": TextField,
"... | myscale/vector-db-benchmark | engine/clients/redis/config.py | config.py | py | 687 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "redis.commands.search.field.NumericField",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "redis.commands.search.field.NumericField",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "redis.commands.search.field.TextField",
"line_number": 10,
... |
13295958598 | import vtk
import numpy as np
import struct
# def save_vf(self, filename):
# """ Write the vector field as .vf file format to disk. """
# if not np.unique(self.resolution).size == 1:
# raise ValueError("Vectorfield resolution must be the same for X, Y, Z when exporting to Unity3D.")
# ... | maysie0110/COSC6344-FinalProject | write_raw_file.py | write_raw_file.py | py | 2,862 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "vtk.vtkMetaImageReader",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "vtk.vtkDataSetReader",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "struct.pack",... |
27035685049 | """Json module"""
import json
def handler(event, _context):
"""
Lambda Handler
Parameters
----------
event : dict
An event
Returns
-------
dict
The response object
"""
print(f"request: {json.dumps(event)}")
return {
"statusCode": 200,
"heade... | jhonrocha/aws-cdk-explorations | lambda/play-py/main.py | main.py | py | 464 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
}
] |
14582545322 | # Visualisation of Parkes beam pattern: Shows position of beams for a given HDF file
# Input: fname (location of HDF dataset)
# V.A. Moss (vmoss.astro@gmail.com)
__author__ = "V.A. Moss"
__date__ = "$18-sep-2018 17:00:00$"
__version__ = "0.1"
import os
import sys
import tables as tb
import numpy as np
from matplotli... | cosmicpudding/ParkesBeamPattern | plot_beampattern.py | plot_beampattern.py | py | 4,867 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_na... |
28256315705 | from PyQt5.QtWidgets import QMainWindow, QApplication, QFileDialog, QMessageBox, QListWidgetItem
from PyQt5.QtCore import pyqtSlot, QDir, Qt, QSettings, QFileInfo
from SettingsDialog import SettingsDialog
from ui_MainWindow import Ui_MainWindow
import math
import Settings
def areaOfPolygon(vertices):
verti... | claudiomattera/graph-extractor | MainWindow.py | MainWindow.py | py | 6,147 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "ui_MainWindow.Ui_MainWindow",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PyQ... |
3714759753 | from unittest import TestCase
from datetime import datetime
from uuid import uuid4
from sh import git, rm, gitlint, touch, echo, ErrorReturnCode
class BaseTestCase(TestCase):
pass
class IntegrationTests(BaseTestCase):
""" Simple set of integration tests for gitlint """
tmp_git_repo = None
@classmet... | Hawatel/gitlint | qa/integration_test.py | integration_test.py | py | 2,991 | python | en | code | null | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sh.git",
... |
72489561467 | import pdb
import sys
sys.path.append( '..' )
from copy import copy, deepcopy
import kivy.graphics as kg
from kivy.lang import Builder
from kivy.properties import *
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
#KV Lang files
from pkg_resources import resource_filename
path = resource_fil... | curzel-it/kivy-material-ui | material_ui/flatui/labels.py | labels.py | py | 4,448 | python | en | code | 67 | 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": "pkg_resources.resource_filename",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "kivy.lang... |
24506022571 | from mock import Mock, patch, ANY, sentinel
from nose.tools import ok_, eq_, raises, timed
from noderunner.client import Client, Context, Handle
from noderunner.connection import Connection
from noderunner.protocol import Protocol
class TestClient(object):
@patch("noderunner.client.get_sockets")
@patch("node... | williamhogman/noderunner | tests/test_client.py | test_client.py | py | 5,456 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "mock.Mock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "noderunner.client.Client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_... |
37583094466 | import pyvista as pv
axes = pv.Axes()
axes.origin
# Expected:
## (0.0, 0.0, 0.0)
#
# Set the origin of the camera.
#
axes.origin = (2.0, 1.0, 1.0)
axes.origin
# Expected:
## (2.0, 1.0, 1.0)
| pyvista/pyvista-docs | version/dev/api/plotting/_autosummary/pyvista-Axes-origin-1.py | pyvista-Axes-origin-1.py | py | 190 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyvista.Axes",
"line_number": 2,
"usage_type": "call"
}
] |
41766786793 | from collections import deque
s = input().split()
n = int(s[0])
m = int(s[1])
a = list(map(int, input().split()))
result = ['0']*m
d = {}
for i in range(m):
c = None
if a[i] in d:
c = d[a[i]]
else:
c = deque()
d[a[i]] = c
c.append(i)
while True:
found = ... | gautambp/codeforces | 1100-B/1100-B-48361896.py | 1100-B-48361896.py | py | 626 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
72066928509 | from flask import Flask, flash, redirect, render_template
from form import LoginForm
app = Flask(__name__)
app.config['SECRET_KEY'] = "secret"
@app.route("/home")
def home():
return "Hello Mines ParisTech"
@app.route("/", methods=['GET', 'POST'])
def login():
form = LoginForm()
if form.validate_on_submi... | basileMarchand/ProgrammeCooperants | flask_demo/demo5/app.py | app.py | py | 754 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "form.LoginForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "form.validate_on_submit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
... |
11317226884 | import pathlib
from setuptools import find_packages, setup
import codecs
import os.path
def read(rel_path):
here = os.path.abspath(os.path.dirname(__file__))
with codecs.open(os.path.join(here, rel_path), 'r') as fp:
return fp.read()
def get_version(rel_path):
for line in read(rel_path).splitlin... | nlp-uoregon/trankit | setup.py | setup.py | py | 2,223 | python | en | code | 693 | github-code | 6 | [
{
"api_name": "os.path.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.path.dirname",
... |
74337793468 | # Name : Jiazhao Li Unique name: jiazhaol
import numpy as np
from sklearn import preprocessing
import sys
from sklearn import tree
def load_train_data(filename):
SBD_traindata_list = []
with open(filename, 'r') as f:
for line in f:
line = line.strip('\n')
word = line.split(' '... | JiazhaoLi/Assignment | EECS595/Assignment1/hw1/SBD.py | SBD.py | py | 5,015 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 115,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 149,
"usage_type": "attribute"
},
{
"api_na... |
33561062837 | """
moving_avg_demo.py
"""
import numpy as np
import scipy as sp
import scipy.signal
import plot
import signal_generator
def moving_average_builder(length):
filt = np.array([1.0/length]*length)
return filt
def moving_average_demo1():
filt = moving_average_builder(5)
sig = signal_generator.sinusoid(1... | Chris93Hall/filtering_presentation | moving_avg_demo.py | moving_avg_demo.py | py | 730 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "signal_generator.sinusoid",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "plot.stem",
"... |
42818754446 | from tkinter import *
from PIL import ImageTk, Image
import string
import random
root = Tk()
root.title("Я люблю BRAWL STARS")
root.geometry("1200x675")
def clicked():
exit = ""
for j in range(3):
n = 5
letters = 0
integers = 0
for i in range(n):
if ... | nelyuboov/Lab-4 | main (2).py | main (2).py | py | 1,483 | python | en | code | null | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "random.randint... |
12198804557 | from iskanje_v_sirino import Graph
import collections
import winsound
duration = 3000
freq = 440
'''
NxP_start = [
['', '', '', '', ''],
['', '', '', '', ''],
['B', '', '', '', ''],
['A', 'C', 'D', 'E', 'F']
]
NxP_end = [
['', 'C', '', '', ''],
['', 'E', '', '', ''],
['F', 'D', '', '', ''... | martin0b101/UI | robotizirano_skladisce.py | robotizirano_skladisce.py | py | 3,070 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "iskanje_v_sirino.Graph",
"line_number": 155,
"usage_type": "call"
}
] |
26436874912 | #mandelbrot by KB for CS550
#inspired by work done with wikipedia example code
from PIL import Image
import random
from PIL import ImageFilter
#set image size
imgx = 500
imgy = 500
xa, xb = -0.75029467235117, -0.7478726919928045
ya, yb = 0.06084172052354717, 0.06326370066585434
image = Image.new("RGB",(imgx,imgy))
... | gbroady19/CS550 | mandelbrot2.py | mandelbrot2.py | py | 1,058 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.new",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFilter.CONTOUR",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFilter"... |
10543655506 | from datetime import datetime, time, timedelta
import iso8601
import logging
import pytz
import requests
import sys
from django.conf import settings
from django.core.cache import cache
from django.shortcuts import render
logger = logging.getLogger(__name__)
uk_tz = pytz.timezone('Europe/London')
utc_tz = pytz.utc
... | SmartCambridge/tfc_web | tfc_web/smartpanel/views/widgets/rss_reader.py | rss_reader.py | py | 2,242 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytz.utc",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.core.cache.cache... |
43370134393 | """ Tests for :module:`statics.markdown`."""
import unittest
__all__ = ["TestMarkdownItem"]
class TestMarkdownItem(unittest.TestCase):
def createFile(self, content):
import tempfile
f = tempfile.NamedTemporaryFile()
f.write(content)
f.flush()
return f
def test_it(se... | andreypopp/statics | statics/tests/test_markdown.py | test_markdown.py | py | 1,089 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "statics.markdown.MarkdownItem",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
27615694777 | """
Get information about how many adult movies/series etc. there are per
region. Get the top 100 of them from the region with the biggest count to
the region with the smallest one.
Получите информацию о том, сколько фильмов/сериалов для взрослых и т. д. есть на
область, край. Получите 100 лучших из них из региона с н... | Tetyana83/spark | task5.py | task5.py | py | 4,199 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 17,
"usage_type":... |
8515938890 | import numpy as np
from matplotlib import cm
import matplotlib.pyplot as plt
from matplotlib import gridspec
from scipy.optimize import curve_fit
from scipy.interpolate import interp1d
from pandas import unique
import csv
import h5py
from astropy import constants as const
from astropy import units as u
I_units = u... | jonasrth/MSc-plots | SED_EMISSA_plots.py | SED_EMISSA_plots.py | py | 6,655 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "astropy.units.erg",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "astropy.units.cm",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "astropy.un... |
32927804563 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Construct templates and categories for Tekniska museet data.
"""
from collections import OrderedDict
import os.path
import csv
import pywikibot
import batchupload.listscraper as listscraper
import batchupload.common as common
import batchupload.helpers as helpers
from bat... | Vesihiisi/TEKM-import | info_tekniska.py | info_tekniska.py | py | 8,639 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "batchupload.make_info.MakeBaseInfo",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pywikibot.ItemPage",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pywikibot.Site",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "... |
27944232660 | """
This modules defines the base class for all machine learning models to analyse
reusability rate.
Last updated: MB 29/08/2020 - created module.
"""
# import external libraries.
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import scipy.stats as stats
from sklearn.model... | reusability/research | model/base_model.py | base_model.py | py | 5,759 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "utils.data_loader.get_normalization_params",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "utils.data_loader",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pandas.Series",
"line_number": 44,
"usage_type": "call"
},
{
"api_na... |
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