Invariance estiators for Python
Project description
Invpy package v1.2.0
- Package that includes several methods to compute statistical translation non-invariance of primarly, but not limitted to, scalar cosmological fields.
Updates v1.2.0
- pbc_estimator.py method is working correctly;
- added another routine called sigma_bias_which_diagonal_cs, in order to compute the bias of the estimators in configuration space.
Ongoing tests on (This item updates every new version)
v1.2.0
- Tests to be made on Fourier space and configuration space for nopbc_estimator.py is ongoing.
Older versions updates
Major Bug fixes on v1.1.2
- Fixed normalization factor problem on sigma_bias_which_diagonal routine.
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
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
invarpy-1.2.0.tar.gz
(6.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file invarpy-1.2.0.tar.gz.
File metadata
- Download URL: invarpy-1.2.0.tar.gz
- Upload date:
- Size: 6.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3e3b9f2d4ba05f9f9e9c529f10f9cb1624e0eb2eb11a74586416140f35b4f6ca
|
|
| MD5 |
6bec3058d94de6f294df79eb0b0e282c
|
|
| BLAKE2b-256 |
93b5497a494a250a06a6714f393c44dbb8b689aaf0ec9630a8e73c7b525b0e8c
|
File details
Details for the file invarpy-1.2.0-py3-none-any.whl.
File metadata
- Download URL: invarpy-1.2.0-py3-none-any.whl
- Upload date:
- Size: 7.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6a233a30119328e0e02bee726fa1e8e41d6c248422d78cdecd18e58c221b0f78
|
|
| MD5 |
03b9d01fd4868fb7afa42a58ba1625d1
|
|
| BLAKE2b-256 |
c66fe48cc5634a3b7f9a2a95002f28b9c97e0b4cf1be43259fdc28ea6e1fe3bf
|