jeakwon

import json

def to_json(dictionary, filename):
    with open(filename,'w') as fp:
        json.dump(dictionary, fp,sort_keys=True, indent=4,ensure_ascii=False)

jeakwon

from matplotlib import font_manager, rc
font_name = font_manager.FontProperties(fname="c:/Windows/Fonts/malgun.ttf").get_name()
rc('font', family=font_name)

jeakwon

import os
def get_file_from_desktop(filename):
    filepath = os.path.expanduser('~/Desktop')
    fullpath = get_file(filepath,filename)
    return fullpath
 

jeakwon

[metadata]
description-file = README.md

jeakwon

from setuptools import setup, find_packages

setup(
    name                = 'ccpy',
    version             = '0.1',
    description         = 'ccpy',
    author              = 'jeakwon',
    author_email        = 'onlytojay@gmail.com',
    url                 = 'https://github.com/jeakwon/ccpy',
    download_url        = 'https://github.com/jeakwon/ccpy/archive/0.0.tar.gz',

jeakwon

import numpy as np

arr = np.array([
    [1,2],
    [3,4],
])
print(arr)

jeakwon

from setuptools import setup, find_packages

with open('README.md', encoding='utf-8') as f:
    long_description = f.read()
setup(
    name                = 'ypcc',
    version             = '0.6.6',
    long_description    = long_description,
    long_description_content_type='text/markdown',
    description         = 'ccpy',

jeakwon

# -*- coding: utf-8 -*-
import logging.handlers

class Setting:
    """로거 세팅 클래스

        ::

            Setting.LEVEL = logging.INFO # INFO 이상만 로그를 작성
    """

jeakwon

def runtime(func):
    @wraps(func)
    def decorated(*args, **kwargs):
        # Decorate front of func
        before  = time.time()

        output  = func(*args, **kwargs)

        # Decorate back of func
        after   = time.time()

jeakwon

import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="<credential_file>.json"

def transcribe_gcs_with_word_time_offsets(gcs_uri):
    """Transcribe the given audio file asynchronously and output the word time
    offsets."""
    from google.cloud import speech
    from google.cloud.speech import enums
    from google.cloud.speech import types
    client = speech.SpeechClient()