Skip to main content

An open source library that contains the schemas for Amazon Braket

Project description

Amazon Braket Python Schemas

Latest Version Supported Python Versions Build status codecov Documentation Status

Amazon Braket Python Schemas is an open source library that contains the schemas for Braket, including:

  • intermediate representations (IR) for Amazon Braket quantum tasks and offers serialization and deserialization of those IR payloads. Think of the IR as the contract between the Amazon Braket SDK and Amazon Braket API for quantum programs.
  • schemas for the S3 results of each quantum task
  • schemas for the device capabilities of each device

Installation

Prerequisites

  • Python 3.8+

Steps

The preferred way to get Amazon Braket Python Schemas is by installing the Amazon Braket Python SDK, which will pull in the schemas. Follow the instructions in the README for setup.

However, if you only want to use the schemas, it can be installed on its own as follows:

pip install amazon-braket-schemas

You can install from source by cloning this repository and running a pip install command in the root directory of the repository:

git clone https://github.com/amazon-braket/amazon-braket-schemas-python.git
cd amazon-braket-schemas-python
pip install .

You can check your currently installed version of amazon-braket-schemas with pip show:

pip show amazon-braket-schemas

or alternatively from within Python:

>>> import braket._schemas as braket_schemas
>>> braket_schemas.__version__

Usage

OpenQASM (Open Quantum Assembly Language) is one type of IR. See below for its usage.

Serializing python structures

from braket.ir.openqasm import Program as OpenQASMProgram

program = OpenQASMProgram(source="OPENQASM 3.0; cnot $0, $1;")
print(program.json(indent=2))

"""
{
  "braketSchemaHeader": {
    "name": "braket.ir.openqasm.program",
    "version": "1"
  },
  "source": "OPENQASM 3.0; cnot $0, $1;",
  "inputs": null
}
"""

Deserializing into python structures

from braket.ir.openqasm import Program as OpenQASMProgram

openqasm_string = """
{
  "braketSchemaHeader": {
    "name": "braket.ir.openqasm.program",
    "version": "1"
  },
  "source": "OPENQASM 3.0; cnot $0, $1;"
}"""

program = OpenQASMProgram.parse_raw(openqasm_string)
print(program)

"""
braketSchemaHeader=BraketSchemaHeader(name='braket.ir.openqasm.program', version='1') source='OPENQASM 3.0; cnot $0, $1;' inputs=None
"""

Documentation

Detailed documentation, including the API reference, can be found on Read the Docs.

You can also generate the docs from source. First, install tox:

pip install tox

To build the Sphinx docs, run the following command in the root repo directory:

tox -e docs

You can then find the generated HTML files in build/documentation/html.

Testing

Make sure to install test dependencies first:

pip install -e "amazon-braket-schemas-python[test]"

To run the unit tests:

tox -e unit-tests

You can also pass in various pytest arguments to run selected tests:

tox -e unit-tests -- your-arguments

To run linters and doc generators and unit tests:

tox

For more information, please see pytest usage.

License

This project is licensed under the Apache-2.0 License.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amazon-braket-schemas-1.19.1.post0.tar.gz (47.3 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file amazon-braket-schemas-1.19.1.post0.tar.gz.

File metadata

File hashes

Hashes for amazon-braket-schemas-1.19.1.post0.tar.gz
Algorithm Hash digest
SHA256 d34126bcbca68d5b9370a1d001ffa24fd0875b9af82f01c15fc077d9595faad8
MD5 e3c51422a4bd21d1c81f16ffd68c7261
BLAKE2b-256 375902d0f7f046133ce981757487e332c0c2dc1999c313130ff5f47e521f91ff

See more details on using hashes here.

File details

Details for the file amazon_braket_schemas-1.19.1.post0-py3-none-any.whl.

File metadata

File hashes

Hashes for amazon_braket_schemas-1.19.1.post0-py3-none-any.whl
Algorithm Hash digest
SHA256 89dca740342e95947f1b38af689ff1ba4d2ad719a61db97ae8272021234f4186
MD5 d1556422301492a9fd3a8440acf64fea
BLAKE2b-256 6ab9a26dea8084395e2a09be3c38d0d45a3b31f1510f04deac1e17e447a6ef1e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page