- Update to 2.1.1
  ## Fixed regressions
  * Fixed regression in concat() when DataFrame ‘s have two
    different extension dtypes (GH 54848)
  * Fixed regression in merge() when merging over a PyArrow string
    index (GH 54894)
  * Fixed regression in read_csv() when usecols is given and dtypes
    is a dict for engine="python" (GH 54868)
  * Fixed regression in read_csv() when delim_whitespace is True
    (GH 54918, GH 54931)
  * Fixed regression in GroupBy.get_group() raising for axis=1 (GH
    54858)
  * Fixed regression in DataFrame.__setitem__() raising
    AssertionError when setting a Series with a partial MultiIndex
    (GH 54875)
  * Fixed regression in DataFrame.filter() not respecting the order
    of elements for filter (GH 54980)
  * Fixed regression in DataFrame.to_sql() not roundtripping
    datetime columns correctly for sqlite (GH 54877)
  * Fixed regression in DataFrameGroupBy.agg() when aggregating a
    DataFrame with duplicate column names using a dictionary (GH
    55006)
  * Fixed regression in MultiIndex.append() raising when appending
    overlapping IntervalIndex levels (GH 54934)
  * Fixed regression in Series.drop_duplicates() for PyArrow
    strings (GH 54904)
  * Fixed regression in Series.interpolate() raising when
    fill_value was given (GH 54920)
  * Fixed regression in Series.value_counts() raising for numeric
    data if bins was specified (GH 54857)
  * Fixed regression in comparison operations for PyArrow backed
    columns not propagating exceptions correctly (GH 54944)
  * Fixed regression when comparing a Series with datetime64 dtype
    with None (GH 54870)
  ## Bug fixes
  * Fixed bug for ArrowDtype raising NotImplementedError for
    fixed-size list (GH 55000)
  * Fixed bug in DataFrame.stack() with future_stack=True and
    columns a non-MultiIndex consisting of tuples (GH 54948)
  * Fixed bug in Series.dt.tz() with ArrowDtype where a string was
    returned instead of a tzinfo object (GH 55003)
  * Fixed bug in Series.pct_change() and DataFrame.pct_change()
    showing unnecessary FutureWarning (GH 54981)
  ## Other
  * Reverted the deprecation that disallowed Series.apply()
    returning a DataFrame when the passed-in callable returns a
    Series object (GH 52116)
- Drop pandas-pr55073-pyarrow13.patch merged upstream

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- Fix test failures with pyarrow 13
  * Add pandas-pr55073-pyarrow13.patch
  * gh#pandas-dev/pandas#55073
  * gh#pandas-dev/pandas#55048
  * gh#pandas-dev/pandas#55020

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- Use git cloned archive gh#pandas-dev/pandas#54907

- Update to 2.1.0
  * https://pandas.pydata.org/pandas-docs/version/2.1.0/whatsnew/v2.1.0.html
  * Avoid NumPy object dtype for strings by default
  * DataFrame reductions preserve extension dtypes
  * Copy-on-Write improvements
  * New DataFrame.map() method and support for ExtensionArrays
  * New implementation of DataFrame.stack()
  * Other minor enhancements (see link above)
  ## Backwards incompatible API changes
  * pandas 2.1.0 supports Python 3.9 and higher
  * Increased minimum versions for numpy 1.22.3 and some optional
    dependencies
  * arrays.PandasArray has been renamed NumpyExtensionArray and the
    attached dtype name changed from PandasDtype to NumpyEADtype;
    importing PandasArray still works until the next major version
    (GH 53694)
  ## Deprecations
  * Deprecated silent upcasting in setitem-like Series operations
  * Deprecated parsing datetimes with mixed time zones
  * Other Deprecation (see link above)
  ## More
  * Performance Improvements (see link above)
  * Bug fixes (see linkl above)
- Switch to meson build system

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- update to 2.0.3:
  * Bug in Timestamp.weekday`() was returning incorrect results
    before '0000-02-29'
  * Fixed performance regression in merging on datetime-like columns
  * Fixed regression when DataFrame.to_string() creates extra space
    for string dtypes
  * Bug in DataFrame.convert_dtype() and Series.convert_dtype()
    when trying to convert ArrowDtype with dtype_backend="nullable_numpy"
  * Bug in RangeIndex.union() when using sort=True with another
    RangeIndex 
  * Bug in Series.reindex() when expanding a non-nanosecond datetime
    or timedelta
  * Bug in read_csv() when defining dtype with bool[pyarrow] for
    the "c" and "python" engines 
  * Bug in Series.str.split() and Series.str.rsplit() with expand=True 
  * Bug in indexing methods (e.g. DataFrame.__getitem__()) where
    taking the entire DataFrame/Series would raise an OverflowError
    when Copy on Write was enabled the length of the array was over
    the maximum size a 32-bit integer can hold
  * Bug when constructing a DataFrame with columns of an ArrowDtype
    with a pyarrow.dictionary type that reindexes the data
  * Bug when indexing a DataFrame or Series with an Index with a
    timestamp ArrowDtype would raise an AttributeError
- drop pandas-fix-tests.patch (upstream)

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- Fix tests on aarch64:
  * pandas-fix-tests.patch

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do not use %elif for python-numpy dependency condition

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- Increase minimum memory constraints for tests

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- Update to 2.0.2
  ## Fixed regressions
  * Fixed performance regression in GroupBy.apply() (GH53195)
  * Fixed regression in merge() on Windows when dtype is np.intc
    (GH52451)
  * Fixed regression in read_sql() dropping columns with duplicated
    column names (GH53117)
  * Fixed regression in DataFrame.loc() losing MultiIndex name when
    enlarging object (GH53053)
  * Fixed regression in DataFrame.to_string() printing a backslash
    at the end of the first row of data, instead of headers, when
    the DataFrame doesn’t fit the line width (GH53054)
  * Fixed regression in MultiIndex.join() returning levels in wrong
    order (GH53093)
  ## Bug fixes
  * Bug in arrays.ArrowExtensionArray incorrectly assigning dict
    instead of list for .type with pyarrow.map_ and raising a
    NotImplementedError with pyarrow.struct (GH53328)
  * Bug in api.interchange.from_dataframe() was raising IndexError
    on empty categorical data (GH53077)
  * Bug in api.interchange.from_dataframe() was returning
    DataFrame’s of incorrect sizes when called on slices (GH52824)
  * Bug in api.interchange.from_dataframe() was unnecessarily
    raising on bitmasks (GH49888)
  * Bug in merge() when merging on datetime columns on different
    resolutions (GH53200)
  * Bug in read_csv() raising OverflowError for engine="pyarrow"
    and parse_dates set (GH53295)
  * Bug in to_datetime() was inferring format to contain "%H"
    instead of "%I" if date contained “AM” / “PM” tokens (GH53147)

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add sle15_python_module_pythons

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update to latest version

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