Skip to main content

Validation of input4MIPs data (checking file formats, metadata etc.).

Project description

--8<-- [start:description]

Input4MIPs-validation

Validation of input4MIPs data (checking file formats, metadata etc.).

Key info : Docs Main branch: supported Python versions Licence

PyPI : PyPI PyPI install

Conda : Conda Conda platforms Conda install

Tests : CI Coverage

Other info : Last Commit Contributors

--8<-- [end:description]

Full documentation can be found at: input4mips-validation.readthedocs.io. We recommend reading the docs there because the internal documentation links don't render correctly on GitHub's viewer.

Installation

--8<-- [start:installation]

As an application

If you want to use input4MIPs-validation as an application, for example you just want to use its command-line interface, then we recommend using the 'locked' version of the package. This version pins the version of all dependencies too, which reduces the chance of installation issues because of breaking updates to dependencies.

The locked version of input4mips-validation can be installed with

=== "mamba" sh mamba install -c conda-forge input4mips-validation-locked

[mamba](https://mamba.readthedocs.io/en/latest/)
is our recommend way to install the package
because it has better handling of the compiled dependencies
(like cfunits).

=== "conda" sh conda install -c conda-forge input4mips-validation-locked

[conda](https://docs.conda.io/projects/conda/en/stable/)
is a good way to install the package
because it has better handling of the compiled dependencies
(like cfunits).

=== "pip" sh pip install input4mips-validation[locked]

[pip](https://pip.pypa.io/en/stable/)
is a standard way to install Python packages.
We make no guarantees that this will actually work
because pip's handling of the compiled dependencies
is not guaranteed.

As a library

If you want to use input4MIPs-validation as a library, for example you want to use it as a dependency in another package/application that you're building, then we recommend installing the package with the commands below. This method provides the loosest pins possible of all dependencies. This gives you, the package/application developer, as much freedom as possible to set the versions of different packages. However, the tradeoff with this freedom is that you may install incompatible versions of input4mips-validation's dependencies (we cannot test all combinations of dependencies, particularly ones which haven't been released yet!). Hence, you may run into installation issues. If you believe these are because of a problem in input4mips-validation, please raise an issue.

The (non-locked) version of input4mips-validation can be installed with

=== "mamba" sh mamba install -c conda-forge input4mips-validation

[mamba](https://mamba.readthedocs.io/en/latest/)
is our recommend way to install the package
because it has better handling of the compiled dependencies
(like cfunits).

=== "conda" sh conda install -c conda-forge input4mips-validation

[conda](https://docs.conda.io/projects/conda/en/stable/)
is a good way to install the package
because it has better handling of the compiled dependencies
(like cfunits).

=== "pip" sh pip install input4mips-validation

[pip](https://pip.pypa.io/en/stable/)
is a standard way to install Python packages.
We make no guarantees that this will actually work
because pip's handling of the compiled dependencies
is not guaranteed.

Additional dependencies can be installed using

=== "mamba" If you are installing with mamba, we recommend installing the extras by hand because there is no stable solution yet (see conda issue #7502)

=== "conda" If you are installing with conda, we recommend installing the extras by hand because there is no stable solution yet (see conda issue #7502)

=== "pip" sh # To add plotting dependencies pip install input4mips-validation[plots] # To add notebook dependencies pip install input4mips-validation[notebooks]

For developers

For development, we rely on pixi for all our dependency management. To get started, you will need to make sure that pixi is installed (instructions here).

We rely on pdm for managing our PyPI builds. Hence, you will also need to make sure that pdm is installed on your system (instructions here, although we found that installing with pipx worked perfectly for us).

For all of work, we use our Makefile. You can read the instructions out and run the commands by hand if you wish, but we generally discourage this because it can be error prone. In order to create your environment, run make virtual-environment.

If there are any issues, the messages from the Makefile should guide you through. If not, please raise an issue in the issue tracker.

For the rest of our developer docs, please see [development][development-reference].

--8<-- [end:installation]

Project details


Download files

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

Source Distribution

input4mips_validation-0.9.0.tar.gz (54.9 kB view details)

Uploaded Source

Built Distribution

input4mips_validation-0.9.0-py3-none-any.whl (60.0 kB view details)

Uploaded Python 3

File details

Details for the file input4mips_validation-0.9.0.tar.gz.

File metadata

  • Download URL: input4mips_validation-0.9.0.tar.gz
  • Upload date:
  • Size: 54.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: pdm/2.17.1 CPython/3.10.12 Linux/6.5.0-1024-azure

File hashes

Hashes for input4mips_validation-0.9.0.tar.gz
Algorithm Hash digest
SHA256 04adc36a0afef32f3feddf8c65ba35387fab5d7912a5413b70a2fbd41ba19dee
MD5 b6f2e6570af3c988fb0c69da982a599a
BLAKE2b-256 820ad19b101edfb959ff123be4245e97b204b32a1d6585bd80289899419cb189

See more details on using hashes here.

Provenance

File details

Details for the file input4mips_validation-0.9.0-py3-none-any.whl.

File metadata

File hashes

Hashes for input4mips_validation-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c95d9ec012b79511b9e7ee3928c846e1cf07450636ee4d4aeb3e833ffd0a4bd1
MD5 bc9cef9942563ea40d0e6d8cd6029a52
BLAKE2b-256 36f84253d4ccc19c7b6e58b6562d85ea8d957af82eb477c20ae98c0a8a088198

See more details on using hashes here.

Provenance

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