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- Update to version 1.2.2
  * https://pandas.pydata.org/docs/whatsnew/v1.2.2.html
  * fixed regressions and bugfixes
- Update to version 1.2.1
  * https://pandas.pydata.org/docs/whatsnew/v1.2.1.html
  * fixed regressions and bugfixes
  * Calling NumPy ufuncs on non-aligned DataFrames
  * The deprecated attributes _AXIS_NAMES and _AXIS_NUMBERS of 
    DataFrame and Series will no longer show up in dir or inspect.
    getmembers calls (GH38740)
  * Bumped minimum fastparquet version to 0.4.0 to avoid 
    AttributeError from numba (GH38344)
  * Bumped minimum pymysql version to 0.8.1 to avoid test failures 
    (GH38344)
  * Added reference to backwards incompatible check_freq arg of 
    testing.assert_frame_equal() and testing.assert_series_equal() 
    in pandas 1.1.0 whats new (GH34050)
- Update to version 1.2.0
  * https://pandas.pydata.org/docs/whatsnew/v1.2.0.html
  * WARNING:   
      The xlwt package for writing old-style .xls excel files is
    no longer maintained. The xlrd package is now only for reading 
    old-style .xls files.
      Previously, the default argument engine=None to read_excel() 
    would result in using the xlrd engine in many cases, including 
    new Excel 2007+ (.xlsx) files. If openpyxl is installed, many 
    of these cases will now default to using the openpyxl engine. 
    See the read_excel() documentation for more details.
      Thus, it is strongly encouraged to install openpyxl to read 
    Excel 2007+ (.xlsx) files. Please do not report issues when 
    using ``xlrd`` to read ``.xlsx`` files. This is no longer 
    supported, switch to using openpyxl instead.    
      Attempting to use the xlwt engine will raise a FutureWarning 
    unless the option io.excel.xls.writer is set to "xlwt". While 
    this option is now deprecated and will also raise a     
    FutureWarning, it can be globally set and the warning 
    suppressed. Users are recommended to write .xlsx files using 
    the openpyxl engine instead.
  Enhancements
  * Optionally disallow duplicate labels
  * Passing arguments to fsspec backends
  * Support for binary file handles in to_csv
  * Support for short caption and table position in to_latex
  * Change in default floating precision for read_csv and 
    read_table
  * Experimental nullable data types for float data
  * Index/column name preservation when aggregating
  * GroupBy supports EWM operations directly
  Deprecations
  * https://pandas.pydata.org/docs/whatsnew/v1.2.0.html#deprecations
- Skip python36 build: New minimum supported Python is 3.7.1
- Only Suggest instead of Recommend optional dependencies. Nobody
  wants to pull in all of those packages by default.
- Remove pandas-pytest.ini
- Rework test deselection
- Limit to 4 pytest-xdist workers, as collection consumes a lot of
  memory

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update to latest version

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update to latest version

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- support newest numpy by removing old test
  gh#pandas-dev/pandas#34991 pandas-pr34991-npconstructor.patch  
- move testing to multibuild flavor
- run slow tests only on x86_64
- replace gcc10-skip-one-test.patch with pytest -k deselection
- tidy SKIP_TESTS declarations
- add pandas-pytest.ini as pytest.ini in order to support the
  custom marks and filter some warnings
- remove random hash seed

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- Skip test_raw_roundtrip on i586

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- Update to version 1.0.5
  * Fixed regressions
    + Fix regression in read_parquet() when reading from file-like objects (GH34467).
    + Fix regression in reading from public S3 buckets (GH34626).
      Note this disables the ability to read Parquet files from
      directories on S3 again (GH26388, GH34632), which was added
      in the 1.0.4 release, but is now targeted for pandas 1.1.0.
    + Fixed regression in replace() raising an AssertionError when replacing values in an extension dtype with values of a different dtype (GH34530)
  * Bug fixes
    + Fixed building from source with Python 3.8 fetching the wrong version of NumPy

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- Add gcc10-skip-one-test.patch in order to fix a failing test-case
  on i586.

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