python-fastcluster-1.1.26-bp156.3.4

- update to version 1.1.26:
  * Small updates for Python 3.8.

- update to version 1.1.25:
  * Removed all “#pragma GCC diagnostic” directives in .cpp files due
    to changed CRAN requirements (CRAN repository only, not the GitHub
    repository).

- Stricten version requirements on numpy to >= 1.9

- update to version 1.1.24:
  * R 3.5 corrects the formula for the “Canberra” metric. See
    https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17285.
    The formula in the fastcluster package was changed accordingly. This
    concerns only the R interface. SciPy and fastcluster's Python interface
    always had the correct formula.

- Update to Version 1.1.23
  * setup.py: Late NumPy import for better dependency management.
- Update to Version 1.1.22
  * No fenv header usage if software floating-point emulation is used (bug
    report: NaN test failed on Debian armel).
- Implement single-spec version.

- Update descriptions. Drop authorship and irrelevant future notes.

- Update to version 1.1.21:
  * Appropiate use of std namespace
- Update to version 1.1.20:
  * New version number due to PyPI upload error.
- Update to version 1.1.19:
  * Fixed unit tests. They can be run with "python setup.py test" now.
- Update to version 1.1.18:
  * Fixed missing NumPy header include path.
- Update to version 1.1.17:
  * Resolved MSVC compiler warnings.
- Update to version 1.1.16:
  * Support for large distance matrices (more than 2^31 entries, R's long
    vector support since version 3.0.0).
- Update to version 1.1.15:
  * Fixed the unit test to work with old and new R versions (see the changes
    in stats::hclust in R 3.1.0).
- Update to version 1.1.14:
  * Updated the DESCRIPTION file according to CRAN rules.
  * Renamed the "ward" method for dissimilarity input to "ward.D" in the R
    interface and created a new method "ward.D2", following changes in R's
    hclust package.

- Initial version