error_string = """
{
    "error": {
        "error_code": 1002,
        "error_message": "Unspecified Error",
        "details": "Unexpected error: ['Traceback (most recent call last):', '  File \"/home/rajaraman/rprojects/ml-api-work/ml-api-raja/services/mlapi/app/main.py\", line 228, in post_predict_classic_joblib_api', '    result_obj = await label_generator.match_with_multi(', '                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^', '  File \"/home/rajaraman/rprojects/ml-api-work/ml-api-raja/services/mlapi/app/label_generator.py\", line 770, in match_with_multi', '    feature_scores …

import xmltodict
import pprint
import json

import xml.dom.minidom

dom = xml.dom.minidom.parse('sample.xml') # or xml.dom.minidom.parseString(xml_string)
pretty_xml_as_string = dom.toprettyxml()

pretty_xml_as_string

'<?xml version="1.0" ?>\n<note>\n\t\n …

import json
import pprint

content = """{"system": {"commit": None, "python": "3.6.8.final.0", "python-bits": 64, "OS": "Darwin", "OS-release": "18.5.0", "machine": "x86_64", "processor": "i386", "byteorder": "little", "LC_ALL": "None", "LANG": "en_CA.UTF-8", "LOCALE": "en_CA …

import pprint
import json 
from urllib.request import urlopen

r = urlopen("https://mdn.github.io/fetch-examples/fetch-json/products.json")
text = r.read() 

pprint.pprint(json.loads(text))

{'products': [{'Location': 'Refrigerated foods',
               'Name': 'Cheese',
               'Price …

from os import walk
from os import listdir
from os.path import isfile, join

path = '/tmp'

onlyfiles = [f for f in listdir(path) if isfile(join(path, f))]

onlyfiles

['.BBE72B41371180178E084EEAF106AED4F350939DB95D3516864A1CC62E7AE82F']

for fle in onlyfiles:
    print(fle)

.BBE72B41371180178E084EEAF106AED4F350939DB95D3516864A1CC62E7AE82F

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.Variable([[1, 2, 3]])

init = (tf.global_variables_initializer(), tf.local_variables_initializer())

sess = tf.Session()

sess.run …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

sess = tf.InteractiveSession()

sess

<tensorflow.python.client.session.InteractiveSession at 0x12b796668>

a = tf.constant([12.0 …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

normal_rv = tf.Variable(tf.truncated_normal([2, 3], stddev=0.1))

# Initialize the variables
init_op = tf.initialize_all_variables()

with …

# Disclaimer: some code copied form this https://towardsdatascience.com/multi-class-text-classification-model-comparison-and-selection-5eb066197568

import logging
import pandas as pd
import numpy as np
from numpy import random
import gensim
import nltk
from sklearn.model_selection import train_test_split
from …