Merge pull request #7 from Ouranosinc/prepare_v104

Prepare v1.0.4

CHANGELOG.rst

@@ -2,14 +2,15 @@
 Changelog
 =========
 
-version 1.0.4 (unreleased)
+version 1.0.4 (2023-02-28)
 --------------------------
 - Rename `frechet_r_gen` to `weibull_min_r`, `frechet_r` being deprecated with SciPy 1.6
 - Migrated organisations from OpenHydrology to Ouranosinc:
     * Added Continuous Integration checks, pre-commit configurations, package metadata adjustments
     * Code style now follows Black v2023.1
     * ReadTheDocs documentation for lmoments3 no longer nested within OpenHydrology
     * Documentation is now structured across pages
+- Updated versioneer to v0.28
 
 version 1.0.3 (2015-09-24)
 --------------------------
@@ -31,30 +32,30 @@ version 1.0.0 (2014-12-01)
 - Replaced many functions by standard scipy implementations
 - General bugfixes, code improvements and test
 
-version 0.3.1 (25/09/14)
-------------------------
+version 0.3.1 (2014-09-25)
+--------------------------
 - Fixed setup
 - Refactored unit tests
 
-version 0.3.0 (24/09/14)
-------------------------
+version 0.3.0 (2014-09-24)
+--------------------------
 - First release for Python 3.x
 
-version 0.2.2 (23/01/14)
-------------------------
+version 0.2.2 (2014-09-23)
+--------------------------
 - Improved samlmu function to support any value of nmom
 - Added Bayesian Information Criterion (BIC) function
 - Fixed import glitch that allowed users to import container files
 - General Bugfixes
 
-version 0.2.1 (15/01/14)
-------------------------
+version 0.2.1 (2014-01-15)
+--------------------------
 - Support for lists as F inputs for all QUA functions
 - Added Random Number Generator (rand) for all functions
 - Split the main lmoments.py file into several files, as the project is getting to large to maintain as one single file.
 
-version 0.2.0 (13/01/14)
-------------------------
+version 0.2.0 (2014-01-13)
+--------------------------
 - Added Probability Density Functions (PDF)
 - Added Reverse Lmoment Estimation Functions (LMOM)
 - Added Negative Log-Likelihood Function (NlogL)

lmoments3/__init__.py

@@ -1,3 +1,4 @@
+# noqa: D205, D400, D404,
 """
 This file contains a Python implementation of the lmoments.f library created by
 J. R. M. HOSKING.
@@ -57,27 +58,24 @@
 
 """
 
-from ._version import get_versions
-
-__version__ = get_versions()["version"]
-del get_versions
-
 import numpy as np
 import scipy.special
 
+from . import _version
+
+__version__ = _version.get_versions()["version"]
+
 
 def lmom_ratios(data, nmom=5):
-    """
-    Estimate `nmom` number of L-moments from a sample `data`.
+    """Estimate `nmom` number of L-moments from a sample `data`.
 
     :param data: Sequence of (sample) data
     :type data: list or array-like sequence
     :param nmom: number of L-moments to estimate
     :type nmom: int
-    :return: L-moment ratios like this: l1, l2, t3, t4, t5, .. . As in: items 3 and higher are L-moment ratios.
+    :return: L-moment ratios like this: l1, l2, t3, t4, t5, .. . As in: items 3 and higher are L-moment ratios.  # noqa: E501
     :rtype: list
     """
-
     if nmom <= 5:
         return _samlmusmall(data, nmom)
     else:
@@ -98,8 +96,8 @@ def _samlmularge(x, nmom=5):
     if n < nmom:
         raise ValueError("Insufficient length of data for specified nmoments")
 
-    ##Calculate first order
-    l = [np.sum(x) / scipy.special.comb(n, 1, exact=True)]
+    # Calculate first order
+    l = [np.sum(x) / scipy.special.comb(n, 1, exact=True)]  # noqa: E741
 
     if nmom == 1:
         return l[0]