forked from pool/python-fastparquet
Dirk Mueller
68c0cc4bdd
- Add patch to fox the test test_delta_from_def_2 on aarch64, armv7 and ppc64le: * fastparquet-pr835.patch OBS-URL: https://build.opensuse.org/request/show/1044387 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-fastparquet?expand=0&rev=42
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435 lines
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-------------------------------------------------------------------
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Fri Dec 23 09:18:39 UTC 2022 - Guillaume GARDET <guillaume.gardet@opensuse.org>
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- Add patch to fox the test test_delta_from_def_2 on
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aarch64, armv7 and ppc64le:
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* fastparquet-pr835.patch
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-------------------------------------------------------------------
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Fri Oct 28 15:47:41 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Update to 0.8.3
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* improved key/value handling and rejection of bad types
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* fix regression in consolidate_cats (caught in dask tests)
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- Release 0.8.2
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* datetime indexes initialised to 0 to prevent overflow from
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randommemory
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* case from csv_to_parquet where stats exists but has not nulls
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entry
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* define len and bool for ParquetFile
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* maintain int types of optional data tha came from pandas
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* fix for delta encoding
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- Add fastparquet-pr813-updatefixes.patch gh#dask/fastparquet#813
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-------------------------------------------------------------------
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Tue Apr 26 11:02:27 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Update to 0.8.1
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* fix critical buffer overflow crash for large number of columns
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and long column names
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* metadata handling
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* thrift int32 for list
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* avoid error storing NaNs in column stats
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-------------------------------------------------------------------
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Sat Jan 29 21:36:38 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Update to 0.8.0
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* our own cythonic thrift implementation (drop thrift dependency)
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* more in-place dataset editing ad reordering
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* python 3.10 support
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* fixes for multi-index and pandas types
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- Clean test skips
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-------------------------------------------------------------------
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Sun Jan 16 13:34:53 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Clean specfile from unused python36 conditionals
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- Require thrift 0.15.0 (+patch) for Python 3.10 compatibility
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* gh#dask/fastparquet#514
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-------------------------------------------------------------------
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Sat Nov 27 20:34:53 UTC 2021 - Arun Persaud <arun@gmx.de>
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- update to version 0.7.2:
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* Ability to remove row-groups in-place for multifile datasets
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* Accept pandas nullable Float type
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* allow empty strings and fix min/max when there is no data
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* make writing statistics optional
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* row selection in to_pandas()
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-------------------------------------------------------------------
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Sun Aug 8 15:13:55 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to version 0.7.1
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* Back compile for older versions of numpy
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* Make pandas nullable types opt-out. The old behaviour (casting
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to float) is still available with ParquetFile(...,
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pandas_nulls=False).
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* Fix time field regression: IsAdjustedToUTC will be False when
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there is no timezone
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* Micro improvements to the speed of ParquetFile creation by
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using simple simple string ops instead of regex and
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regularising filenames once at the start. Effects datasets with
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many files.
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- Release 0.7.0
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* This version institutes major, breaking changes, listed here,
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and incremental fixes and additions.
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* Reading a directory without a _metadata summary file now works
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by providing only the directory, instead of a list of
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constituent files. This change also makes direct of use of
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fsspec filesystems, if given, to be able to load the footer
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metadata areas of the files concurrently, if the storage
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backend supports it, and not directly instantiating
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intermediate ParquetFile instances
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* row-level filtering of the data. Whereas previously, only full
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row-groups could be excluded on the basis of their parquet
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metadata statistics (if present), filtering can now be done
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within row-groups too. The syntax is the same as before,
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allowing for multiple column expressions to be combined with
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AND|OR, depending on the list structure. This mechanism
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requires two passes: one to load the columns needed to create
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the boolean mask, and another to load the columns actually
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needed in the output. This will not be faster, and may be
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slower, but in some cases can save significant memory
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footprint, if a small fraction of rows are considered good and
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the columns for the filter expression are not in the output.
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Not currently supported for reading with DataPageV2.
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* DELTA integer encoding (read-only): experimentally working,
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but we only have one test file to verify against, since it is
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not trivial to persuade Spark to produce files encoded this
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way. DELTA can be extremely compact a representation for
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slowly varying and/or monotonically increasing integers.
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* nanosecond resolution times: the new extended "logical" types
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system supports nanoseconds alongside the previous millis and
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micros. We now emit these for the default pandas time type,
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and produce full parquet schema including both "converted" and
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"logical" type information. Note that all output has
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isAdjustedToUTC=True, i.e., these are timestamps rather than
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local time. The time-zone is stored in the metadata, as
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before, and will be successfully recreated only in fastparquet
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and (py)arrow. Otherwise, the times will appear to be UTC. For
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compatibility with Spark, you may still want to use
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times="int96" when writing.
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* DataPageV2 writing: now we support both reading and writing.
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For writing, can be enabled with the environment variable
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FASTPARQUET_DATAPAGE_V2, or module global fastparquet.writer.
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DATAPAGE_VERSION and is off by default. It will become on by
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default in the future. In many cases, V2 will result in better
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read performance, because the data and page headers are
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encoded separately, so data can be directly read into the
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output without addition allocation/copies. This feature is
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considered experimental, but we believe it working well for
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most use cases (i.e., our test suite) and should be readable
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by all modern parquet frameworks including arrow and spark.
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* pandas nullable types: pandas supports "masked" extension
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arrays for types that previously could not support NULL at
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all: ints and bools. Fastparquet used to cast such columns to
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float, so that we could represent NULLs as NaN; now we use the
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new(er) masked types by default. This means faster reading of
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such columns, as there is no conversion. If the metadata
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guarantees that there are no nulls, we still use the
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non-nullable variant unless the data was written with
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fastparquet/pyarrow, and the metadata indicates that the
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original datatype was nullable. We already handled writing of
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nullable columns.
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-------------------------------------------------------------------
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Tue May 18 14:41:46 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to version 0.6.3
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* no release notes
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* new requirement: cramjam instead of separate compression libs
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and their bindings
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* switch from numba to Cython
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-------------------------------------------------------------------
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Fri Feb 12 14:50:18 UTC 2021 - Dirk Müller <dmueller@suse.com>
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- skip python 36 build
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-------------------------------------------------------------------
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Thu Feb 4 17:50:32 UTC 2021 - Jan Engelhardt <jengelh@inai.de>
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- Use of "+=" in %check warrants bash as buildshell.
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-------------------------------------------------------------------
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Wed Feb 3 21:43:10 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Skip the import without warning test gh#dask/fastparquet#558
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- Apply the Cepl-Strangelove-Parameter to pytest
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(--import-mode append)
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-------------------------------------------------------------------
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Sat Jan 2 21:04:30 UTC 2021 - Benjamin Greiner <code@bnavigator.de>
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- update to version 0.5
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* no changelog
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- update test suite setup -- install the .test module
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-------------------------------------------------------------------
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Sat Jul 18 18:13:53 UTC 2020 - Arun Persaud <arun@gmx.de>
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- specfile:
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* update requirements: version numbers and added packaging
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- update to version 0.4.1:
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* nulls, fixes #504
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* deps: Add missing dependency on packaging. (#502)
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-------------------------------------------------------------------
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Thu Jul 9 14:04:10 UTC 2020 - Marketa Calabkova <mcalabkova@suse.com>
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- Update to 0.4.0
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* Changed RangeIndex private methods to public ones
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* Use the python executable used to run the code
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* Add support for Python 3.8
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* support for numba > 0.48
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- drop upstreamed patch use-python-exec.patch
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-------------------------------------------------------------------
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Mon Apr 6 06:54:36 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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- Add patch to use sys.executable and not call py2 binary directly:
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* use-python-exec.patch
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-------------------------------------------------------------------
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Mon Apr 6 06:50:26 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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- Update to 0.3.3:
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* no upstream changelog
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-------------------------------------------------------------------
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Fri Oct 25 17:50:50 UTC 2019 - Todd R <toddrme2178@gmail.com>
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- Drop broken python 2 support.
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- Testing fixes
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-------------------------------------------------------------------
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Sat Aug 3 15:10:41 UTC 2019 - Arun Persaud <arun@gmx.de>
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- update to version 0.3.2:
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* Only calculate dataset stats once (#453)
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* Fixes #436 (#452)
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* Fix a crash if trying to read a file whose created_by value is not
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set
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* COMPAT: Fix for pandas DeprecationWarning (#446)
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* Apply timezone to index (#439)
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* Handle NaN partition values (#438)
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* Pandas meta (#431)
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* Only strip _metadata from end of file path (#430)
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* Simple nesting fix (#428)
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* Disallow bad tz on save, warn on load (#427)
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-------------------------------------------------------------------
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Tue Jul 30 14:23:21 UTC 2019 - Todd R <toddrme2178@gmail.com>
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- Fix spurious test failure
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-------------------------------------------------------------------
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Mon May 20 15:12:11 CEST 2019 - Matej Cepl <mcepl@suse.com>
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- Clean up SPEC file.
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-------------------------------------------------------------------
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Tue Apr 30 14:28:46 UTC 2019 - Todd R <toddrme2178@gmail.com>
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- update to 0.3.1
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* Add schema == (__eq__) and != (__ne__) methods and tests.
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* Fix item iteration for decimals
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* List missing columns in error message
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* Fix tz being None case
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- Update to 0.3.0
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* Squash some warnings and import failures
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* Improvements to in and not in operators
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* Fixes because pandas released
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-------------------------------------------------------------------
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Sat Jan 26 17:05:09 UTC 2019 - Arun Persaud <arun@gmx.de>
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- specfile:
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* update copyright year
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- update to version 0.2.1:
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* Compat for pandas 0.24.0 refactor (#390)
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* Change OverflowError message when failing on large pages (#387)
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* Allow for changes in dictionary while reading a row-group column
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(#367)
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* Correct pypi project names for compression libraries (#385)
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-------------------------------------------------------------------
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Thu Nov 22 22:47:24 UTC 2018 - Arun Persaud <arun@gmx.de>
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- update to version 0.2.0:
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* Don't mutate column list input (#383) (#384)
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* Add optional requirements to extras_require (#380)
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* Fix "broken link to parquet-format page" (#377)
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* Add .c file to repo
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* Handle rows split across 2 pages in the case of a map (#369)
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* Fixes 370 (#371)
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* Handle multi-page maps (#368)
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* Handle zero-column files. Closes #361. (#363)
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-------------------------------------------------------------------
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Sun Sep 30 16:22:56 UTC 2018 - Arun Persaud <arun@gmx.de>
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- specfile:
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* update url
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* make %files section more specific
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- update to version 0.1.6:
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* Restrict what categories get passed through (#358)
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* Deep digging for multi-indexes (#356)
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* allow_empty is the default in >=zstandard-0.9 (#355)
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* Remove setup_requires from setup.py (#345)
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* Fixed error if a certain partition is empty, when writing a
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partioned (#347)
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* Allow UTF8 column names to be read (#342)
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* readd test file
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* Allow for NULL converted type (#340)
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* Robust partition names (#336)
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* Fix accidental multiindex
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* Read multi indexes (#331)
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* Allow reading from any file-like (#330)
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* change `parquet-format` link to apache repo (#328)
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* Remove extra space from api.py (#325)
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* numba bool fun (#324)
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- changes from version 0.1.5:
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* Fix _dtypes to be more efficient, to work with files with lots of
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columns (#318)
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* Buildfix (#313)
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* Use LZ4 block compression for compatibility with parquet-cpp
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(#314) (#315)
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* Fix typo in ParquetFile docstring (#312)
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* Remove annoying print() when reading file with CategoricalDtype
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index (#311)
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* Allow lists of multi-file data-sets (#309)
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* Acceleate dataframe.empty for small/medium sizes (#307)
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* Include dictionary page in column size (#306)
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* Fix for selecting columns which were used for partitioning (#304)
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* Remove occurances of np.fromstring (#303)
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* Add support for zstandard compression (#296)
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* Int96time order (#298)
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- changes from version 0.1.4:
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* Add handling of keyword arguments for compressor (#294)
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* Fix setup.py duplication (#295)
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* Integrate pytest with setup.py (#293)
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* Get setup.py pytest to work. (#287)
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* Add LZ4 support (#292)
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* Update for forthcoming thrift release (#281)
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* If timezones are in pandas metadata, assign columns as required
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(#285)
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* Pandas import (#284)
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* Copy FMDs instead of mutate (#279)
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* small fixes (#278)
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* fixes to get benchmark to work (#276)
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* backwards compat with Dask
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* Fix test_time_millis on Windows (#275)
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* join paths os-independently (#271)
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* Adds int32 support for object encoding (#268)
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* Fix a couple small typos in documentation (#267)
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* Partition order should be sorted (#265)
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* COMPAT: Update thrift (#264)
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* Speedups result (#253)
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* Remove thrift_copy
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* Define `__copy__` on thrift structures
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* Update rtd deps
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- changes from version 0.1.3:
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* More care over append when partitioning multiple columns
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* Sep for windows cats filtering
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* Move pytest imports to tests/ remove requirememnt
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* Special-case only zeros
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* Cope with partition values like "07"
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* fix for s3
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* Fix for list of paths rooted in the current directory
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* add test
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* Explicit file opens
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* update docstring
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* Refactor partition interpretation
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* py2 fix
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* Error in test changed
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* Better error messages when failed to cnovert on write
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- changes from version 0.1.2:
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* Revert accidental removal of s3 import
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* Move thrift things together, and make thrift serializer for pickle
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* COMPAT: for new pandas CategoricalDtype
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* Fixup for backwards seeking.
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* Fix some test failures
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* Protptype version using thrift instead of thriftpy
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* Not all mergers have cats
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* Revert accidental deletion
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* remove warnings
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* Sort keys in json for metadata
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* Check column chunks for categories sizes
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* Account for partition dir names with numbers
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* Fix map/list doc
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* Catch more stats errors
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* Prevent pandas auto-names being given to index
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- changes from version 0.1.1:
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* Add workaround for single-value-partition
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* update test
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* Simplify and fix for py2
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* Use thrift encoding on statistics strings
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* remove redundant SNAPPY from supported compressions list
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* Fix statistics
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* lists again
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* Always convert int96 to times
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* Update docs
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* attribute typo
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* Fix definition level
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* Add test, clean columns
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* Allow optional->optional lists and maps
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* Flatten schema to enable loading of non-repeated columns
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* Remove extra file
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* Fix py2
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* Fix "in" filter to cope with strings that could be numbers
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* Allow pip install without NumPy or Cython
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- changes from version 0.1.0:
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* Add ParquetFile attribute documentation
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* Fix tests
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* Enable append to an empty dataset
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* More warning words and check on partition_on
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* Do not fail stats if there are no row-groups
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* Fix "numpy_dtype"->"numpy_type
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* "in" was checking range not exact membership of set
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* If metadata gives index, put in columns
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* Fix pytest warning
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* Fail on ordering dict statistics
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* Fix stats filter
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* clean test
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* Fix ImportWarning on Python 3.6+
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* TEST: added updated test file for special strings used in filters
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* fix links
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* [README]: indicate dependency on LLVM 4.0.x.
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* Filter stats had unfortunate converted_type check
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* Ignore exceptions in val_to_num
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* Also for TODAY
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* Very special case for partition: NOW should be kept as string
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* Allow partition_on; fix category nuls
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* Remove old category key/values on writing
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* Implement writing pandas metadata and auto-setting cats/index
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* Pandas compatability
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* Test and fix for filter on single file
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* Do not attempt to recurse into schema elements with zero childrean
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-------------------------------------------------------------------
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Thu Jun 7 20:41:31 UTC 2018 - jengelh@inai.de
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- Fixup grammar./Replace future aims with what it does now.
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-------------------------------------------------------------------
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Thu May 3 14:07:08 UTC 2018 - toddrme2178@gmail.com
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- Use %license tag
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-------------------------------------------------------------------
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Thu May 25 12:19:26 UTC 2017 - toddrme2178@gmail.com
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- Initial version
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