Skip to main content

Quantum computing circuit toolkit. Python interface of roqoqo

Project description

qoqo

Documentation Status GitHub Workflow Status PyPI PyPI - Format Crates.io Crates.io

qoqo is a toolkit to represent quantum circuits by HQS Quantum Simulations. The name “qoqo” stands for “Quantum Operation Quantum Operation,” making use of reduplication.

For a detailed introduction see the user documentation and the qoqo examples repository.

What qoqo is:

  • A toolkit to represent quantum programs including circuits and measurement information.
  • A thin runtime to run quantum measurements.
  • A way to serialize quantum circuits and measurement information.
  • A set of optional interfaces to devices, simulators and toolkits (e.g. qoqo_quest, qoqo_qiskit, qoqo_for_braket, qoqo_iqm).

What qoqo is not:

  • A decomposer translating circuits to a specific set of gates
  • A quantum circuit optimizer
  • A collection of quantum algorithms

If you are looking for a comprehensive package that integrates all these features, we invite you to explore our HQStage software.

Installation

On Linux, macOS and Windows on x86 precompiled packages can be found on PyPi and installed via

pip install qoqo

Installing from source (optional)

If no pre-built python wheel is available for your architecture, you can install qoqo from the source distribution using a rust toolchain (for example available via rustup) and maturin (also available via pip). After installing the rust toolchain and maturing run the same pip install command as above. In some cases on macOS it can be necessary to provide specific linker arguments as shown below:

# can be necessary on mscOS
RUSTFLAGS="-C link-arg=-undefined -C link-arg=dynamic_lookup" pip install qoqo
RUSTFLAGS="-C link-arg=-undefined -C link-arg=dynamic_lookup" maturin build -m qoqo/Cargo.toml  --release
pip install target/wheels/$NAME_OF_WHEEL

Using in a rust project

When using qoqo in a rust project providing a python interface add

qoqo = {version="1.0.0", default-features=false}

to the [dependencies] section of the project Cargo.toml.

Create your first circuit in qoqo

The following code snippet can be used to create your first circuit in qoqo. For an expanded collection of examples please see the jupyter notebooks in the qoqo_examples repository.

from qoqo import Circuit
from qoqo import operations as ops
from qoqo_quest import Backend

circuit = Circuit()
circuit += ops.DefinitionBit(name="classical_reg", length=2, is_output=True)
circuit += ops.PauliX(qubit=0)
circuit += ops.CNOT(0,1)
circuit += ops.PragmaDamping(qubit=0, gate_time=0.1, rate=0.1)
circuit += ops.PragmaDamping(qubit=1, gate_time=0.1, rate=0.1)
circuit += ops.MeasureQubit(qubit=0, readout="classical_reg", readout_index=0)
circuit += ops.MeasureQubit(qubit=1, readout="classical_reg", readout_index=1)
circuit += ops.PragmaSetNumberOfMeasurements(number_measurements=1000, readout="classical_reg")

backend = Backend(number_qubits=2)
bit_registers, float_registers, complex_registers = backend.run_circuit(circuit)

Features

qoqo provides the following functionalities and features:

  • A Circuit class to represent quantum circuits
  • A QuantumProgram class to represent quantum programs
  • Classes representing single-qubit, two-qubit, multi-qubit and measurement operations that can be executed (decomposed) on any universal quantum computer
  • Classes representing so-called PRAGMA operations that only apply to certain hardware, simulators or annotate circuits with additional information
  • Support for symbolic variables
  • Readout based on classical registers
  • Measurement classes for evaluating observable measurements based on raw readout date returned by quantum computer backends
  • Serialization to json and deserialization from json for circuits and measurement information. Serialization support can easily be expanded to other targets with the help of the serde crate.

Please refer to the API documentation for technical details on qoqo functions.

Support

This project has been partly supported by PlanQK and is partially supported by QSolid and PhoQuant.

Contribution

We welcome contributions to the project. If you want to contribute code, please have a look at CONTRIBUTE.md for our code contribution guidelines.

In order to facilitate the contribution of the addition of a new gate, please also have a look at add_new_gate.md to read a quick explanation of the main steps necessary.

Citation

If you use qoqo, please cite it by including the URL of this github repository, or using the provided BibTeX entry:

@misc{qoqo2021,
      title={qoqo - toolkit to represent quantum circuits},
      author={HQS Quantum Simulations GmbH},
      year={2021},
      url={https://github.com/HQSquantumsimulations/qoqo},
}

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

qoqo-1.19.6.tar.gz (438.6 kB view details)

Uploaded Source

Built Distributions

qoqo-1.19.6-cp313-cp313-win_amd64.whl (4.5 MB view details)

Uploaded CPython 3.13Windows x86-64

qoqo-1.19.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

qoqo-1.19.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

qoqo-1.19.6-cp313-cp313-macosx_11_0_arm64.whl (3.7 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

qoqo-1.19.6-cp313-cp313-macosx_10_12_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.13macOS 10.12+ x86-64

qoqo-1.19.6-cp312-cp312-win_amd64.whl (4.5 MB view details)

Uploaded CPython 3.12Windows x86-64

qoqo-1.19.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

qoqo-1.19.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

qoqo-1.19.6-cp312-cp312-macosx_11_0_arm64.whl (3.7 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

qoqo-1.19.6-cp312-cp312-macosx_10_12_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.12macOS 10.12+ x86-64

qoqo-1.19.6-cp311-cp311-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.11Windows x86-64

qoqo-1.19.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

qoqo-1.19.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

qoqo-1.19.6-cp311-cp311-macosx_11_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

qoqo-1.19.6-cp311-cp311-macosx_10_12_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.11macOS 10.12+ x86-64

qoqo-1.19.6-cp310-cp310-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.10Windows x86-64

qoqo-1.19.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

qoqo-1.19.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

qoqo-1.19.6-cp310-cp310-macosx_11_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

qoqo-1.19.6-cp310-cp310-macosx_10_12_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10macOS 10.12+ x86-64

qoqo-1.19.6-cp39-cp39-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.9Windows x86-64

qoqo-1.19.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

qoqo-1.19.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

qoqo-1.19.6-cp39-cp39-macosx_11_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

qoqo-1.19.6-cp39-cp39-macosx_10_12_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.9macOS 10.12+ x86-64

File details

Details for the file qoqo-1.19.6.tar.gz.

File metadata

  • Download URL: qoqo-1.19.6.tar.gz
  • Upload date:
  • Size: 438.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for qoqo-1.19.6.tar.gz
Algorithm Hash digest
SHA256 d006923c1be545d6daa62d8c2a4f021dbfd90f321acaaa5a4c699fc762a70bb9
MD5 67cb386276719a693edd8aa8e3e6a542
BLAKE2b-256 db3c8e7e4997110683939de31b39e61243e24cd1cb7f8fa2d8c41203f0ef9b1a

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: qoqo-1.19.6-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for qoqo-1.19.6-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 4c063a156880cd9fc7a3920a13e810e0e5107ef3a6d1941fdf5b1958916b4693
MD5 7f2385445a6be5034cee04c90ccac904
BLAKE2b-256 005471242b33554a85d49153d8993f408aecd54099d795809d63bff802ec2bd5

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ab83bec0187014cad34707c8ce2ce57a1b760bd6f38ceaa6022633fb8b648418
MD5 bb9a29e9eb541edf4e7f8a45a3d10065
BLAKE2b-256 a24f6f9c3540c5606f8c55ea5724976a71c70c13bdaa9dfba0a34205f2cc0903

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 74a194dd2a7c65da7b055893394d8b3568210723f0589f1f7f44f1eb48756c41
MD5 08a7c580673b6274b7f66e67f4aa162e
BLAKE2b-256 75ca57b7c216eea4b75f960d8f56a0297b12176785326e94664b25155761ccf9

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0167f8a6dc5a1554ab519ec56b4bf05e3d69749d4f9061aea25dc099fa06fba1
MD5 dcb1d65da2d98de2bec236feb22e64f8
BLAKE2b-256 94b3f8d0c513837e02a67f84f7e9ae277a6682d636f23f4c4f2cc5ba298f38d2

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp313-cp313-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp313-cp313-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f0bb0a688bd55f414c21c9d375abfcb736821b44c8f7061934f4328db009e6ac
MD5 7235d23e68904ac37adf78110ead591e
BLAKE2b-256 fabd818c5532a4f303f7a75dcf86f30f151a82bcbe684a8b935ac12b6d5c7d1f

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: qoqo-1.19.6-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for qoqo-1.19.6-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 1f3a80218c87cf44b265a48659ead0c3b08815718cd20d7e4832ac5356fb979b
MD5 c002bdc8cdd2d5a079845c682d49a7ef
BLAKE2b-256 d37c84e91554fa6b5e82c8548b615d9d6e4b750e16a0b0f5ae4f5c27bf3a7414

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f83815de057497fcdeddef71c27387d0e81c94f3acfaf3196384561fca57110e
MD5 23746c7555e133d6557bb4f91e8148d0
BLAKE2b-256 a9ce670a45d039677da54f1f30b021153df0567c909427701468b756a4dd4062

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e404122a9492d694b32cf04b7df60e852336e5327b35a6c94668ff88b7f11141
MD5 625a7798f522483c4fd26d4a2cca34fd
BLAKE2b-256 d1b4ef71358f6f732881c351e673946274f683d1289de11b72f0730df92bfa5d

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 813a97ed71726ddcb17c2fc438c74ad79577aa7eb34c70fff128118ebfef8c74
MD5 a6e21a881d032cde5f8fe40f3ba6a8b4
BLAKE2b-256 83a3d9651b8895856673846bd4429c11bef095a3ac606db465512487913837bc

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 06d08079b356ce925fc2860f608f37be639719cead2d485767b96f89579c6335
MD5 c4d7648b39f9096dce9d62888bec9d94
BLAKE2b-256 822d747cd51dedf711b3934b279eef7c214c4587dbf94344214d37f7fc037680

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: qoqo-1.19.6-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for qoqo-1.19.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 2628230954493b535f02f29ff304325991c6e80f56ef5d11b142d8bb1d4f7052
MD5 e8842dcdd865afb13e05c6eefe521261
BLAKE2b-256 7e62156536c180aac6f0bdd8c34919750a15dc8d0e3422b5f8754defeb83e2cd

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 41fe7db70fe2f1246037cd9b4582965a0e5d1cb17fce871671f0c973d3c28d42
MD5 3ab5ffbd8b3b5e64eee656dc83a5cc57
BLAKE2b-256 9b0d93f64333655a1d554c6bc440587817e4108838887afea86680cc61dbff11

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 745ca233c097f8fc662bbb61aa69708bd1d284bb6c7e9f43c862513e9e560478
MD5 5ba7f9b755ec87f860d7b69ffc9d30d1
BLAKE2b-256 b58aea57cdc4fbe9b4a7a992aa81359a94d040ee57d157677a661d9f45faa3a0

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c308df2f831afb4532c843394224d9a35b8f579385b05365db2405c40b20cf9b
MD5 578b248ec2cc65eb6d62595e83f4fe58
BLAKE2b-256 a42e163e409e591a6dd73d32dd2054b2bd36820b42c67b8de78f13e1831748c2

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 23367c825728c3b6c96a7e1222d9b9332213fabfc2cd2816ab445f82561f6cb6
MD5 33cea44328b1dc00303f295ae7f1c26a
BLAKE2b-256 da4c35a7046f9fcd186e762a5f5a21c555df3ee491b7df6be1e9b0864403f0f0

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: qoqo-1.19.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for qoqo-1.19.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 0a962862564608ea1127a476673707d1d30c1436eba17b855868a7031940e373
MD5 c9073478becb9583be58d13fd66329ec
BLAKE2b-256 68a214f1ac9f953c164a5c828f1c203b39f89b88703cafcad367b72d3fdecfbc

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7c5cc306996ed82407eff7017562162225a3aed8238f0caa247adc2fb87d2b4d
MD5 e9f988a8e1dea9614445590377eb1153
BLAKE2b-256 576273daff9518eeab746a7320317fe05d8ac80062018a25fea2d29468682040

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2ae1cfe2597ad2cef99b59f649adfec4752ec47cb2f81c52b3ace7e93cc23538
MD5 2c6066eacbb3748440b9821b0f38a4f8
BLAKE2b-256 17c583ab8cddaa7cfd4891aa0289f6d6ac44313959f310b0703ff6bb2ce9a716

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 eb363c00b12ecce522feb67d8c8f829bfb64e432a16f4ac1c972563a09cc85f9
MD5 d3ff28ef925093e10d0002a5954e7965
BLAKE2b-256 b089d8933b3480c6f7e3f4c776b627b14b1cde92e50d0f7f0c38f159fb47fd45

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ca984b41819a826dbde1cb764fdeb503ad2235bd5c9754b3334bce1459d07185
MD5 f45ab192c1c01f8591fa65c98a7b2c27
BLAKE2b-256 249a71796fed26ddc4ebdd8b984ede6849a3b1fdca43b8d1a0ace9e6d35d60b6

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: qoqo-1.19.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for qoqo-1.19.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3bb190542e38e14435157aefb73e43942b1c193d0ebef8fc52db0cd1ef092dd4
MD5 eef79b6162bc35fc8cf8d82571cd67ae
BLAKE2b-256 d87fe9d18321ee420e0da77caf6444ed573c25790d3878a7a378f398abe7f1eb

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 48977e7caadc5230b07604f65bd9711ca60aa6a2083a1b6f117a2fe1d32c1cbe
MD5 b800655d1c7cc85559c8fc9c54957467
BLAKE2b-256 74d8ca5cfab421a240eaddeec2e97f550d4ad9266ad1389fe3831ad817ee7697

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c397f32cbf5e8f2f9ba5a1dde1ae6936e25fddd40ecbc76312d373f4ef1c63f8
MD5 d08738363bffc53bcd92bdc5f482fa25
BLAKE2b-256 730857cc019659ad001fcad223b22a3a5c91465303fac63bf7aac9d027b7aae2

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7b50cfe716da2a92d3c5a8aa76b4eb389ef219d72e656bde59cd85364fabf780
MD5 2b6365665ad2ea99e0eabed7eb926cd4
BLAKE2b-256 b29c69910f3d297eefec8df32237db572fa2afb4cb6d66004a6e62396f97985f

See more details on using hashes here.

File details

Details for the file qoqo-1.19.6-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for qoqo-1.19.6-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 3cc825d036a2285798d8797e10edc71a1c39dcc05bada84ef0908874bb1276ac
MD5 9d174723731707a626f7870eb67fe6d0
BLAKE2b-256 8d4328803fe4ed6020602bfdf0be6c667e27d32183db15caefd9b55cf658df59

See more details on using hashes here.

Supported by

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