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{"title": "title from file",
 "properties": {"prop1": {"title": "sub property title in base.json"},
                "prop2": {"$ref": "#/properties/prop1"},
                "prop3": {"$ref": "other.json"},
                "prop4": {"$ref": "other.json#/properties/prop1"},
                "prop5": {"$ref": "other.json#/properties/prop2"}
               }
}

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{"title": "title from url"} 

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import jsonlines
import flatterer
from pathlib import Path
import subprocess

def flatten_iterator(statement_type):
    with jsonlines.open('statements.2021-08-31T08 14 34Z.jsonl') as f:
        for object in f:
            if object["statementType"] == statement_type:
                yield object

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##############################################################################
#
# Simple Python program to benchmark several Python Excel writing modules.
#
# python bench_excel_writers.py [num_rows] [num_cols]
#
# Copyright 2013-2018, John McNamara, Charlie Clark
#
import os
import sys

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import csv
import click
import json
import json_merge_patch


@click.command()
@click.argument("file")
@click.option("-s", "--schema")
def csv_to_schema(file, schema=None):

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SELECT *, pg_size_pretty(total_bytes) AS total
    , pg_size_pretty(index_bytes) AS index
    , pg_size_pretty(toast_bytes) AS toast
    , pg_size_pretty(table_bytes) AS table
  FROM (
  SELECT *, total_bytes-index_bytes-coalesce(toast_bytes,0) AS table_bytes FROM (
      SELECT c.oid,nspname AS table_schema, relname AS table_name
              , c.reltuples AS row_estimate
              , pg_total_relation_size(c.oid) AS total_bytes

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GB-GOV-1 does not use capital-spend at activity hierarchy 1
GB-GOV-1 does not use budget\|planned-disbursement at activity hierarchy 1

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var asana_api_key = 'personal_access_token' 
var gmail_address = '[email protected]'


var asana_project = '922286080685111'
var asana_tag = '930213334200619'


var labels = {
  "HIGH": 0,

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{
  "uri": "http://d.com",
  "publisher": {
    "name": "dolore",
    "scheme": "officia in",
    "uri": "http://ptkQI.com",
    "uid": "et Ut"
  },
  "publishedDate": "5044-06-01T16:44:16.284Z",
  "releases": [

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import sys

from lxml import etree

root = etree.parse(sys.argv[1])

actual_results = {}

for num, result in enumerate(list(root.iter("result"))):
    title = num