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readme changes, version bump
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cgevans committed Jan 11, 2022
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14 changes: 7 additions & 7 deletions README.md
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3548989.svg)](https://doi.org/10.5281/zenodo.3548989)
[![Codecov](https://img.shields.io/codecov/c/github/cgevans/scikits-bootstrap)](https://codecov.io/gh/cgevans/scikits-bootstrap)
[![PyPI](https://img.shields.io/pypi/v/scikits-bootstrap)](https://pypi.org/project/scikits.bootstrap/)
![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/cgevans/scikits-bootstrap)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/scikits-bootstrap)
[![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/cgevans/scikits-bootstrap)](https://github.com/cgevans/scikits-bootstrap/releases)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/scikits-bootstrap)](https://pypi.org/project/scikits.bootstrap/)


Documentation: [Stable](https://scikits-bootstrap.readthedocs.io/en/stable/), [Latest](https://scikits-bootstrap.readthedocs.io/en/latest/).
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- I am following semantic versioning.

- Code should be black-formatted, should have type annotations that work
- Code should be black-formatted, and should have type annotations that work
in 3.7 through the latest stable Python, and PyPy3.

- Docstrings should be in Numpy format. They should preferably include
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explanation than otherwise as to how they are generally useful.

The package is licensed under the BSD 3-Clause License. It is supported
in part by the Evans Foundation.
by the [Evans Foundation](https://evansfmm.org).

Version Info
============
Version Information
===================

- v1.1.0-pre.2: Randomness is now generated via a numpy.random
- v1.1.0: Randomness is now generated via a numpy.random
Generator. Anything that relied on using numpy.random.seed to obtain
deterministic results will fail (mostly of relevance for testing).
Seeds (or Generators) can now be passed to relevant functions with
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2 changes: 1 addition & 1 deletion src/scikits/bootstrap/bootstrap.py
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ncdf = np.vectorize(_ncdf_py, [float])


__version__ = "1.1.0-pre.2"
__version__ = "1.1.0"


class InstabilityWarning(UserWarning):
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