Skip to main content

Invariance estiators for Python

Project description

Invpy package v1.1.2

  • Package that includes several methods to compute statistical translation non-invariance of primarly, but not limitted to, scalar cosmological fields.

Updates v1.1.2

  • Configuration space computation for pbc_estimator.py method is working correctly;

Ongoing tests on (This item updates every new version)

v1.1.2

  • Tests to be made on Fourier space method for pbc_estimator.py is ongoing.
  • Tests to be made on Fourier space and configuration space for nopbc_estimator.py is ongoing.

Older versions updates

Minor Bug fixes on v1.1.1

  • Fixed bug of 'unexpected keyword argument estimator_kind' on sigma_which_diagonal routine of pbc_estimator.py method.

Major Bug fixes on v1.1.0

  • Fixed second and first kind estimator bias in pbc_estimators.py method.
  • Fixed second kind estimator bias in pbc_estimators.py method;
  • Fixed bugs on common.py.

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

invarpy-1.1.2.tar.gz (6.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

invarpy-1.1.2-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file invarpy-1.1.2.tar.gz.

File metadata

  • Download URL: invarpy-1.1.2.tar.gz
  • Upload date:
  • Size: 6.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for invarpy-1.1.2.tar.gz
Algorithm Hash digest
SHA256 3a19751d85fdc9c6a366a349512646b7c6b1c25815d904211e6f0df3033f8834
MD5 2ba631ebf6ac1b9ee890a280461e6737
BLAKE2b-256 684e98db10ae28a0dfd7aee1032467af17672b5ea1d3b3a96850519d07e4fcc2

See more details on using hashes here.

File details

Details for the file invarpy-1.1.2-py3-none-any.whl.

File metadata

  • Download URL: invarpy-1.1.2-py3-none-any.whl
  • Upload date:
  • Size: 7.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for invarpy-1.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 cf3e97ba7d7e65c3bd0cb26b225e79b5cf0c3f4b5f67ef0ad3a3a36306be788f
MD5 ce90dda8b71ec206e378b7a69d1b8360
BLAKE2b-256 abf2e91b3362bad0cf6ff1a406f6401a0ff866d5370f38d83e85af5f76edabde

See more details on using hashes here.

Supported by

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