return items[item_id]


@app.patch("/items/{item_id}", response_model=Item)
async def update_item(item_id: str, item: Item):
    stored_item_data = items[item_id]
    stored_item_model = Item(**stored_item_data)
    update_data = item.dict(exclude_unset=True)
    updated_item = stored_item_model.copy(update=update_data)
    items[item_id] = jsonable_encoder(updated_item)

    assert response.status_code == 200, response.text
    assert (
        b'<h1><a href="http://testserver/items/foo">Item ID: foo</a></h1>'
        in response.content
    )
    response = client.get("/static/styles.css")
    assert response.status_code == 200, response.text
    assert b"color: green;" in response.content
    shutil.rmtree("./templates")

    print("##", "*" * 25)

    for k in sorted(common):
        if q0[k] != q1[k]:
            print("## ", k)
            s0 = yaml.safe_dump(q0[k], default_flow_style=False, indent=2)
            s1 = yaml.safe_dump(q1[k], default_flow_style=False, indent=2)

            print(datadiff.diff(s0, s1, fromfile=args.orig, tofile=args.new))

    return changed + len(added) + len(removed)


def main(args):

from the current build or not.

It uses the `_api/v2/api_packages.txt` file from the local wheel file.
The `_api/v2/api_packages.txt` file is created during the process of generating
TensorFlow API v2 init files and is stored in the wheel file after the build.

See README.md file for "how to run" instruction.
"""

import logging
import unittest
import pkg_resources

logging.basicConfig(level=logging.INFO)