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- update to 0.6.9:
  * `autojit`: fix jax when kwargs are used
  * `autojit`: simplify torch and python compiler
  * torch: alias min/max to amin/amax

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- update to 0.6.8:
  * Alias jax.scipy

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- update to 0.6.7:
  * `lazy.einsum`: allow `cotengra` or `opt_einsum` for advanced
    parsing, fall back to basic when neither present
  * add `torch.expand_dims`.
  * **Full Changelog**:
    https://github.com/jcmgray/autoray/compare/v0.6.6...v0.6.7
  * fix: matmul shape for lazy by @yangguohao in #16
- Initial package release.

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- update to 0.6.6
  * autoray.lazy: allow more functions to work on pytrees
  * Fix importlib import error and update tensorflow CI
  * add multi-dispatch for a few more relevant functions
  * change plot_history_functions default style to scatter
  * ensure composed function names are kept
  * add autoray.size
  * added docs
  * autoray.lazy.LazyArray support all fancy indexing
  * add experimental complexity cost tracing
  * fix: matmul shape for lazy by @yangguohao in #16

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- update to 0.6.3:
  * `autoray.lazy.compute`: allow computing multiple outputs
    simultaneously
  * `autoray.lazy.Function` allow pickling and viewing of
    uncompiled source
  * make sure `shape` and `ndim` work for builtins similarly to
    `numpy.{shape,ndim}`
  * Add: `autoray.lazy.where` function for `LazyArray`
  * Add: `autoray.lazy.take` function for `LazyArray`
  * Add`LazyArray.plot_history_stats` pie charts
  * Add `autoray.shape` and `autoray.ndim` as preferred shape
    functions
  * Add basic support for `aesara`
  * `LazyArray`: fix negative axis reductions
  * fix fancy indexing of `LazyArray` objects

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- Update to 0.6.0
  * autoray.lazy: Much better tools for inspecting the
    computational graph:
    - LazyArray.show()
    - LazyArray.plot_circuit()
    - LazyArray.plot_history_functions() and variants
    - LazyArray.history_fn_frequencies
  * Global submodule aliases:
    - enables e.g. dispatching do("scipy.linalg.lu", x:
      numpy.ndarray) and cupy.scipy to cupyx.scipy
  * Fix for complex and builtins and newer numpy (#11).

- Update to 0.5.3
  * add lazy.diag
  * update infrastructure, including moving from versioneer to
    setuptools_scm
- Release 0.5.1
  * allow Composed.register to be used as a decorator
- Release 0.3.2
  * tweaks to compiler.py
- No relevant release or tag notes for other releases since 0.2.5
- PEP517 build

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- SciPy and dask are optional
- Don't test dask with python310: not supported yet

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baserev update by copy to link target

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- Update to version 0.2.5.
  * No changelog given.
- Skip python36 because numpy no longer support it.

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initialized devel package after accepting 827854

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- Fix source url to fetch from github

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- Remove not stated dependencies
- Do not run coverage testing

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Dependency for python-quimb.

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