class_docstr: Distribution of Ansari-Bradley W-statistic under the null hypothesis.
docstr: Minimal initializer.
docstr_tok: ["Minimal","initializer","."]
code: def __init__(self):
      """Minimal initializer."""
      self.m = None
      self.n = None
      self.astart = None
      self.total = None
      self.freqs = None
  
imports: from __future__ import annotations
  import math
  import warnings
  from collections import namedtuple
  import numpy
  from numpy import isscalar, r_, log, around, unique, asarray, zeros, arange, sort, amin, amax, atleast_1d, sqrt, array, compress, pi, exp, ravel, count_nonzero, sin, cos, arctan2, hypot
  from scipy import optimize
  from scipy import special
  from .None import statlib
  from .None import stats
  from .stats import find_repeats, _contains_nan, _normtest_finish
  from .contingency import chi2_contingency
  from .None import distributions
  from ._distn_infrastructure import rv_generic
  from ._hypotests import _get_wilcoxon_distr
label_desc: Use image node_id 1 to create a new _ABW object  with example: obj = _ABW()