"""Compatibility functions for numpy versions in lib

np_new_unique
-------------
Optionally provides the count of the number of occurrences of each
unique element.

Copied from Numpy source, under license:

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"""

import numpy as np
from packaging.version import Version, parse

__all__ = [
    "NP_LT_2",
    "NP_LT_24",
    "NP_LT_114",
    "NP_LT_123",
    "lstsq",
    "np_matrix_rank",
    "np_new_unique",
]

NP_LT_114 = parse(np.__version__) < Version("1.13.99")
NP_LT_123 = parse(np.__version__) < Version("1.22.99")
NP_LT_2 = parse(np.__version__) < Version("1.99.99")
NP_LT_24 = parse(np.__version__) < Version("2.3.99")

np_matrix_rank = np.linalg.matrix_rank
np_new_unique = np.unique


def lstsq(a, b, rcond=None):
    """
    Shim that allows modern rcond setting with backward compat for NumPY
    earlier than 1.14
    """
    if NP_LT_114 and rcond is None:
        rcond = -1
    return np.linalg.lstsq(a, b, rcond=rcond)
