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- Skip i586 failing tests with upstream ticket

- Update to 1.0.2:
  * see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.2.html
- Add pyperclip and Jinja2 as test dependencies

- Update to 1.0.1:
  * see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.1.html
  * see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.0.html

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Revert, breaks ton of stuff (forwarded request 777937 from scarabeus_iv)

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- Update to version 0.25.3
  + Support Python 3.8
  + Bug fixes
    > Indexing
      * Fix regression in DataFrame.reindex() not following the limit argument
      * Fix regression in RangeIndex.get_indexer() for decreasing RangeIndex
        where target values may be improperly identified as missing/present
    > I/O
      * Fix regression in notebook display where <th> tags were missing for
        DataFrame.index values
      * Regression in to_csv() where writing a Series or DataFrame indexed by
        an IntervalIndex would incorrectly raise a TypeError
      * Fix to_csv() with ExtensionArray with list-like values
    > Groupby/resample/rolling
      * Bug incorrectly raising an IndexError when passing a list of quantiles
        to pandas.core.groupby.DataFrameGroupBy.quantile()
      * Bug in pandas.core.groupby.GroupBy.shift(),
        pandas.core.groupby.GroupBy.bfill() and
        pandas.core.groupby.GroupBy.ffill() where timezone information would
        be dropped
      * Bug in DataFrameGroupBy.quantile() where NA values in the grouping
        could cause segfaults or incorrect results

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Automatic submission by obs-autosubmit

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Update to Version 0.25.0

All packages broken by this update should be fixed now.

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- Add requirement for at least 4 GB of physical memory

- Do not delete tests, they are used even by other inheriting packages
  for their testing
- Execute tests

- Update to 0.24.1
  * The default ``sort`` value for :meth:`Index.union` has changed from ``True`` to ``None`` (:issue:`24959`).
    The default *behavior*, however, remains the same
  * Fixed regression in :meth:`DataFrame.to_dict` with ``records`` orient raising an
    ``AttributeError`` when the ``DataFrame`` contained more than 255 columns, or
    wrongly converting column names that were not valid python identifiers (:issue:`24939`, :issue:`24940`).
  * Fixed regression in :func:`read_sql` when passing certain queries with MySQL/pymysql (:issue:`24988`).
  * Fixed regression in :class:`Index.intersection` incorrectly sorting the values by default (:issue:`24959`).
  * Fixed regression in :func:`merge` when merging an empty ``DataFrame`` with multiple timezone-aware columns on one of the timezone-aware columns (:issue:`25014`).
  * Fixed regression in :meth:`Series.rename_axis` and :meth:`DataFrame.rename_axis` where passing ``None`` failed to remove the axis name (:issue:`25034`)
  * Fixed regression in :func:`to_timedelta` with `box=False` incorrectly returning a ``datetime64`` object instead of a ``timedelta64`` object (:issue:`24961`)
  * Fixed regression where custom hashable types could not be used as column keys in :meth:`DataFrame.set_index` (:issue:`24969`)
  * Bug in :meth:`DataFrame.groupby` with :class:`Grouper` when there is a time change (DST) and grouping frequency is ``'1d'`` (:issue:`24972`)
  * Fixed the warning for implicitly registered matplotlib converters not showing. See :ref:`whatsnew_0211.converters` for more (:issue:`24963`).
  * Fixed AttributeError when printing a DataFrame's HTML repr after accessing the IPython config object (:issue:`25036`)

- Update to 0.24.0
  Highlights include:
  * Optional Integer NA Support
  * New APIs for accessing the array backing a Series or Index
  * A new top-level method for creating arrays
  * Store Interval and Period data in a Series or DataFrame
  * Support for joining on two MultiIndexes

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- Update to 0.23.0:
  * Round-trippable JSON format with ‘table’ orient.
  * Instantiation from dicts respects order for Python 3.6+.
  * Dependent column arguments for assign.
  * Merging / sorting on a combination of columns and index levels.
  * Extending Pandas with custom types.
  * Excluding unobserved categories from groupby.
  * Changes to make output shape of DataFrame.apply consistent.

- Do not bother generating pandas doc if it is already in both
  html and pdf provided by upstream, just point to the URL

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- Format with spec-cleaner

- Drop commented code to allow us py3 only build

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