Skip to main content

No project description provided

Project description

noisepy-seis-io

PyPI codecov

This project was automatically generated using the LINCC-Frameworks python-project-template. For more information about the project template see the documentation.

Development Guide

Before installing any dependencies or writing code, it's a great idea to create a virtual environment. LINCC-Frameworks engineers primarily use conda to manage virtual environments. If you have conda installed locally, you can run the following to create and activate a new environment.

conda create env -n noisepy python=3.10
conda activate noisepy

Once you have created a new environment, you can install this project for local development and below are the recommended steps for setting up your environment based on different installation scenarios:

  • Installing from PyPI:

    pip install noisepy-seis
    

    If you're using pip install noisepy-seis to install the package directly from PyPI, all sources and dependencies will be placed in the appropriate site-packages directory. This setup is suitable for production environments and does not require additional setup for development.

  • Installing in Editable mode:

    If you're cloning the noisepy-seis repository and installing the development version in editable mode (-e flag), you can follow these steps:

    • Clone the noisepy-seis repository from GitHub git clone git@github.com:noisepy/noisepy-io.git.
    • Install the package in editable mode by running pip install -e .[dev].
  • Installing without Editable Mode:

    pip install .[dev]
    
  • Install pre-commit hook:

    pre-commit install
    

    Note that pre-commit install will initialize pre-commit for this local repository, so that a set of tests will be run prior to completing a local commit. For more information, see the Python Project Template documentation on pre-commit.

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

noisepy_seis_io-0.2.1.tar.gz (35.8 kB view details)

Uploaded Source

Built Distribution

noisepy_seis_io-0.2.1-py2.py3-none-any.whl (43.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file noisepy_seis_io-0.2.1.tar.gz.

File metadata

  • Download URL: noisepy_seis_io-0.2.1.tar.gz
  • Upload date:
  • Size: 35.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for noisepy_seis_io-0.2.1.tar.gz
Algorithm Hash digest
SHA256 d64789c4c5988ae367d7b437e904bbfd9d744a6233821c0a9b5fc77ed1f4785b
MD5 a370e1b68c0f629d7efa1564b850bef9
BLAKE2b-256 c2ef07b99a75329119f31b39958be157916eed233d6b42cf95c829c37f7268f1

See more details on using hashes here.

Provenance

The following attestation bundles were made for noisepy_seis_io-0.2.1.tar.gz:

Publisher: publish-to-pypi.yml on noisepy/noisepy-io

Attestations:

File details

Details for the file noisepy_seis_io-0.2.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for noisepy_seis_io-0.2.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7c8e8d1298ae30be7259267fa3fc3a75c539acdefa8704f39282373574272260
MD5 8e3d3668c3971dfeac6834f2eb8f34d0
BLAKE2b-256 acaf24773bd6f41b6fec49a2255211e8c3c3f80cffc4e2b4cae5989b1d3c8814

See more details on using hashes here.

Provenance

The following attestation bundles were made for noisepy_seis_io-0.2.1-py2.py3-none-any.whl:

Publisher: publish-to-pypi.yml on noisepy/noisepy-io

Attestations:

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