# We need to break some cycles with optional dependencies for bootstrapping; # given that a conditional is needed, we take the opportunity to omit as many # optional dependencies as possible for bootstrapping. %bcond_with bootstrap # When not bootstrapping, run tests? %bcond_without tests %{?with_bootstrap:%undefine with_tests} # When running tests, run ones that are marked as slow? %bcond_without slow_tests # When running tests, run ones that cannot be run in parallel? %bcond_without single_tests Name: python-pandas Version: 1.5.3 Release: 1%{?dist} Summary: Python library providing high-performance data analysis tools # The entire source is BSD-3-Clause and covered by LICENSE, except: # # - pandas/util/version/__init__.py is (Apache-2.0 OR BSD-2-Clause): see # LICENSES/PACKAGING_LICENSE # - pandas/_libs/src/headers/portable.h is (BSD-3-Clause AND MIT), because it # contains some trivial content under the overall BSD-3-Clause license but # also some macros from MUSL libc under the MIT license: see # LICENSES/MUSL_LICENSE # - pandas/_libs/src/parser/tokenizer.c is (BSD-3-Clause AND Python-2.0.1): see # LICENSES/PSF_LICENSE # - pandas/io/sas/sas7bdat.py is (BSD-3-Clause and MIT), because it is mostly # under the overall BSD-3-Clause license but is also based on # https://bitbucket.org/jaredhobbs/sas7bdat: see LICENSES/SAS7BDAT_LICENSE # - pandas/core/accessor.py is (BSD-3-Clause AND Apache-2.0), because it is # partially under the overall BSD-3-Clause license but is also based on # xarray: see LICENSES/XARRAY_LICENSE # - pandas/_libs/src/klib/khash.h is MIT: see LICENSES/KLIB_LICENSE # - pandas/_libs/window/aggregations.pyx is (BSD-3-Clause AND BSD-2-Clause): # see “Bottleneck license” in LICENSES/OTHER # # In the python3-pandas+tests subpackage: # # - pandas/tests/io/data/spss/*.sav are MIT: see LICENSES/HAVEN_LICENSE and # LICENSES/HAVEN_MIT # - pandas/tests/window/test_rolling.py is (BSD-3-Clause AND BSD-2-Clause) # since test_rolling_std_neg_sqrt is from Bottleneck: see “Bottleneck license” # in LICENSES/OTHER # # Additionally: # # - pandas/_libs/tslibs/parsing.pyx is BSD-3-Clause rather than # (BSD-3-Clause AND (BSD-3-Clause OR Apache-2.0)), because it appears that at # least some trivial content in the code copied from dateutil in the # dateutil_parse() function (as of # https://github.com/dateutil/dateutil/pull/732) is by dateutil contributors # who have not agreed to re-license their previously submitted code: see # LICENSES/DATEUTIL_LICENSE. # - LICENSES/OTHER suggests that some code may be derived from # google-api-python-client under Apache-2.0, but a search for attribution # comments did not turn up anything specific # - pandas/_libs/tslibs/src/datetime/np_datetime.{h,c} are still BSD-3-Clause, # but see also LICENSES/NUMPY_LICENSE # - pandas/io/clipboard/ is still BSD-3-Clause, but see also “Pyperclip v1.3 # license” in LICENSES/OTHER # - pandas/_testing/__init__.py is still BSD-3-Clause, but see also # LICENSES/SCIPY_LICENSE # - pandas/_libs/src/ujson/lib/ is still BSD-3-Clause, but under # LICENSES/ULTRAJSON_LICENSE # # Additionally, the following are not packaged and so do not affect the overall # License field: # # - scripts/no_bool_in_generic.py is MIT: see LICENSES/PYUPGRADE_LICENSE License: BSD-3-Clause AND (Apache-2.0 OR BSD-2-Clause) AND (BSD-3-Clause AND Apache-2.0) AND (BSD-3-Clause AND MIT) AND (BSD-3-Clause AND Python-2.0.1) AND MIT AND (BSD-3-Clause AND BSD-2-Clause) URL: https://pandas.pydata.org/ # The GitHub archive contains tests; the PyPI sdist does not. Source0: https://github.com/pandas-dev/pandas/archive/v%{version}/pandas-%{version}.tar.gz # Fix some little-endian assumptions in the tests # https://github.com/pandas-dev/pandas/pull/49913 Patch: https://github.com/pandas-dev/pandas/pull/49913.patch # [PATCH] Backport PR #50925 on branch 1.5.x (TST: Remove fsspec internals from # tests) (#51038) # # TST: Remove fsspec internals from tests (#50925) # https://github.com/pandas-dev/pandas/commit/e73d4d29203dab20e001beb1090d07683de583d6 # fixes: # ERROR at setup of test_to_read_gcs[…] Patch: https://github.com/pandas-dev/pandas/commit/e73d4d29203dab20e001beb1090d07683de583d6.patch %global _description %{expand: pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.} %description %_description %package -n python3-pandas Summary: %{summary} # pandas/_libs/window/aggregations.pyx: # # Moving maximum / minimum code taken from Bottleneck under the terms # of its Simplified BSD license # https://github.com/pydata/bottleneck # # These snippets are extracted from Bottleneck’s internals and cannot be # replaced by calling the public Bottleneck API, so there is no reasonable path # to unbundling. Provides: bundled(python3dist(bottleneck)) # pandas/_libs/tslibs/parsing.pyx: # # Contains a routine, dateutil_parse(), from an unspecified version of dateutil # # Cannot be unbundled because the function is forked and compiled as Cython Provides: bundled(python3dist(dateutil)) # pandas/_libs/src/klib/khash.h: # # From klib (https://github.com/attractivechaos/klib); it is not practical to # package all of klib separately because it is designed as a copylib, and many # of its components are not header-only. Provides: bundled(klib-khash) = 0.2.6 # pandas/_libs/src/headers/portable.h: # # Contains several preprocessor macros from an unspecified version of MUSL libc # # Cannot be unbundled because the macros are not directly exposed in the libc Provides: bundled(musl-libc) # pandas/_libs/tslibs/src/datetime/np_datetime.{h,c}: # # Derived from Numpy 1.7 # # Cannot be unbundled because the routines are forked. Provides: bundled(python3dist(numpy)) = 1.7 # pandas/util/version/__init__.py: # # Vendored from https://github.com/pypa/packaging/blob/main/packaging/_structures.py # and https://github.com/pypa/packaging/blob/main/packaging/_structures.py # changeset ae891fd74d6dd4c6063bb04f2faeadaac6fc6313 # 04/30/2021 # # Cannot be (reasonably) unbundled because the vendored file is not part of # packaging’s public API. Provides: bundled(python3dist(packaging)) = 20.10.dev0^20210430gitae891fd # pandas/io/clipboard/: # # In https://github.com/pandas-dev/pandas/pull/28471, upstream considered and # rejected the idea of de-vendoring pyperclip. Furthermore, # https://github.com/pandas-dev/pandas/commits/main/pandas/io/clipboard and # https://github.com/pandas-dev/pandas/commits/main/pandas/io/clipboard/__init__.py # show that the vendored library has accrued Pandas-specific changes. # # Version number from: # https://github.com/pandas-dev/pandas/pull/28471/commits/33cd2d72e0c007c460e59105efda9211441b2ce4 # “Updated internal pyperclip 1.5.27 -> 1.7.0” Provides: bundled(python3dist(pyperclip)) = 1.7.0 # pandas/_libs/src/parser/tokenizer.c: # # Combines some elements from Python's built-in csv module and Warren # Weckesser's textreader project on GitHub. # # Elements from these are both forked and cannot be unbundled. The textreader # project is a Python extension but is not on PyPI, and is not the same as # python3dist(textreader). Provides: bundled(python3-libs) Provides: bundled(textreader) # scripts/no_bool_in_generic.py: # # The function `visit` is adapted from a function by the same name in pyupgrade: # https://github.com/asottile/pyupgrade/blob/5495a248f2165941c5d3b82ac3226ba7ad1fa59d/pyupgrade/_data.py#L70-L113 # # Not packaged (pre-commit hook) therefore not bundled # Provides: bundled(python3dist(pyupgrade)) = 2.11.0^20210201git5495a24 # pandas/io/sas/sas7bdat.py # # Based on code written by Jared Hobbs: # https://bitbucket.org/jaredhobbs/sas7bdat # # Cannot be unbundled because the code is modified, not directly copied Provides: bundled(python3dist(sas7bdat)) # pandas/_testing/__init__.py: in _create_missing_idx(): # # below is cribbed from scipy.sparse # # Cannot be unbundled because only a few lines are copied, not a standalone # function that we can call Provides: bundled(python3dist(scipy)) # pandas/_libs/src/ujson/lib/: # # This is a stripped-down copy of UltraJSON. It would be an obvious target for # unbundling, except: # # - Pandas uses the C library API, but UltraJSON upstream does not support # building and installing it separately from the Python package. # - In https://github.com/pandas-dev/pandas/issues/24711 it is suggested that # Pandas might rely on features of the particular vendored version of # UltraJSON. It’s not immediately clear whether this is still true or not. Provides: bundled(python3dist(ujson)) # pandas/core/accessor.py # # Ported with modifications from xarray # https://github.com/pydata/xarray/blob/master/xarray/core/extensions.py # 1. We don't need to catch and re-raise AttributeErrors as RuntimeErrors # 2. We use a UserWarning instead of a custom Warning # # Cannot be unbundled because the copied code is forked. Provides: bundled(python3dist(xarray)) BuildRequires: gcc BuildRequires: gcc-c++ BuildRequires: python3-devel # Since numpy is imported in setup.py, we need it to generate BR’s. This only # becomes obvious during bootstrapping, in which the many optional dependencies # that indirectly require numpy are removed. BuildRequires: python3dist(numpy) %if %{without bootstrap} # doc/source/getting_started/install.rst “Recommended dependencies” # Since these provide large speedups, we make them hard dependencies except # during bootstrapping. BuildRequires: python3dist(numexpr) >= 2.7.3 Requires: python3dist(numexpr) >= 2.7.3 BuildRequires: python3dist(bottleneck) >= 1.3.2 Requires: python3dist(bottleneck) >= 1.3.2 # doc/source/getting_started/install.rst “Optional dependencies” # We BR all weak dependencies to ensure they are installable. # Timezones BuildRequires: tzdata >= 2022a Recommends: tzdata >= 2022a # Visualization BuildRequires: python3dist(matplotlib) >= 3.3.2 Recommends: python3dist(matplotlib) >= 3.3.2 BuildRequires: python3dist(jinja2) >= 3 Recommends: python3dist(jinja2) >= 3 BuildRequires: python3dist(tabulate) >= 0.8.9 Recommends: python3dist(tabulate) >= 0.8.9 # Computation BuildRequires: python3dist(scipy) >= 1.7.1 Recommends: python3dist(scipy) >= 1.7.1 # python-numba is not currently packaged: # BuildRequires: python3dist(numba) >= 0.46 # Recommends: python3dist(numba) >= 0.46 #BuildRequires: python3dist(xarray) >= 1.19 Recommends: python3dist(xarray) >= 1.19 # Excel files BuildRequires: python3dist(xlrd) >= 2.0.1 Recommends: python3dist(xlrd) >= 2.0.1 BuildRequires: python3dist(xlwt) >= 1.3 Recommends: python3dist(xlwt) >= 1.3 BuildRequires: python3dist(xlsxwriter) >= 1.4.3 Recommends: python3dist(xlsxwriter) >= 1.4.3 BuildRequires: python3dist(openpyxl) >= 3.0.7 Recommends: python3dist(openpyxl) >= 3.0.7 # python-pyxlsb is not currently packaged: # BuildRequires: python3dist(pyxlsb) >= 1.0.8 # Recommends: python3dist(pyxlsb) >= 1.0.8 # Not in doc/source/getting_started/install.rst, but in environment.yml and in # some doc-strings: BuildRequires: python3dist(odfpy) >= 1.4.1 Recommends: python3dist(odfpy) >= 1.4.1 # HTML BuildRequires: python3dist(beautifulsoup4) >= 4.9.3 Recommends: python3dist(beautifulsoup4) >= 4.9.3 BuildRequires: python3dist(html5lib) >= 1.1 Recommends: python3dist(html5lib) >= 1.1 # lxml handled below: # XML BuildRequires: python3dist(lxml) >= 4.6.3 Recommends: python3dist(lxml) >= 4.6.3 # SQL databases BuildRequires: python3dist(sqlalchemy) >= 1.4.16 Recommends: python3dist(sqlalchemy) >= 1.4.16 BuildRequires: python3dist(psycopg2) >= 2.8.6 Recommends: python3dist(psycopg2) >= 2.8.6 #BuildRequires: python3dist(pymysql) >= 1.0.2 Recommends: python3dist(pymysql) >= 1.0.2 # Other data sources BuildRequires: python3dist(tables) >= 3.6.1 Recommends: python3dist(tables) >= 3.6.1 # Dependencies on blosc and zlib are indirect, via PyTables, so we do not # encode them here. Note also that the minimum blosc version in the # documentation seems to be that of the blosc C library, not of the blosc PyPI # package. # python-fastparquet is not currently packaged: # BuildRequires: python3dist(fastparquet) >= 0.4 # Recommends: python3dist(fastparquet) >= 0.4 # libarrow does not support 32-bit architectures: %if 0%{?__isa_bits} != 32 BuildRequires: python3dist(pyarrow) >= 1.0.1 Recommends: python3dist(pyarrow) >= 1.0.1 %endif # python-pyreadstat is not currently packaged: # BuildRequires: python3dist(pyreadstat) >= 1.1.2 # Recommends: python3dist(pyreadstat) >= 1.1.2 # Access data in the cloud #BuildRequires: python3dist(fsspec) >= 2021.7 Recommends: python3dist(fsspec) >= 2021.7 # python-gcsfs is packaged, but is badly out of date in F37 and older: # https://bugzilla.redhat.com/show_bug.cgi?id=2136233 # Since we will not package pandas 1.5.x for F36 and older, the conditional # checks for F37 only. %if !0%{?fc37} #BuildRequires: python3dist(gcsfs) >= 2021.7 #Recommends: python3dist(gcsfs) >= 2021.7 %endif # python-pandas-gbq is not currently packaged: # BuildRequires: python3dist(pandas-gbq) >= 0.15 # Recommends: python3dist(pandas-gbq) >= 0.15 # python-s3fs is not currently packaged: # BuildRequires: python3dist(s3fs) >= 2021.8 # Recommends: python3dist(s3fs) >= 2021.8 # Clipboard BuildRequires: python3dist(pyqt5) Recommends: python3dist(pyqt5) BuildRequires: python3dist(qtpy) Recommends: python3dist(qtpy) BuildRequires: xclip Recommends: xclip BuildRequires: xsel Recommends: xsel # Compression BuildRequires: python3dist(brotli) >= 0.7 Recommends: python3dist(brotli) >= 0.7 BuildRequires: python3dist(python-snappy) >= 0.6 Recommends: python3dist(python-snappy) >= 0.6 BuildRequires: python3dist(zstandard) >= 0.15.2 Recommends: python3dist(zstandard) >= 0.15.2 # This is just an “ecosystem” package in the upstream documentation, but there # is an integration test for it. This package historically had a weak # dependency on it, which we keep around until we package 1.4.0 to ensure # backward compatibility. #BuildRequires: python3dist(pandas-datareader) Recommends: python3dist(pandas-datareader) %endif %description -n python3-pandas %_description %package -n python3-pandas+test Summary: Tests and test extras for Pandas # See comment above base package License tag for licensing breakdown. License: BSD-3-Clause AND MIT Requires: python3-pandas%{?_isa} = %{version}-%{release} %if %{without bootstrap} # Additional BR’s and weak dependencies below are generally those that don’t # provide enough added functionality to be weak dependencies of the library # package, but for which there is some integration support and additional tests # that can be enabled. # Additional dependencies from environment.yml: “testing” # Those not in the “test” extra are treated as weak dependencies for the tests. BuildRequires: python3dist(boto3) Recommends: python3dist(boto3) BuildRequires: python3dist(botocore) >= 1.11 Recommends: python3dist(botocore) >= 1.11 # Already covered by “test” extra # BuildRequires: python3dist(hypothesis) >= 3.82 # Recommends: python3dist(hypothesis) >= 3.82 # python-moto is not yet packaged # BuildRequires: python3dist(moto) # Recommends: python3dist(moto) BuildRequires: python3dist(flask) Recommends: python3dist(flask) # Already covered by “test” extra # BuildRequires: python3dist(pytest) >= 5.0.1 # Requires: python3dist(pytest) >= 5.0.1 # https://docs.fedoraproject.org/en-US/packaging-guidelines/Python/#_linters # BuildRequires: python3dist(pytest-cov) # Recommends: python3dist(pytest-cov) # Already covered by “test” extra # BuildRequires: python3dist(pytest-xdist) >= 1.21 # Requires: python3dist(pytest-xdist) >= 1.21 BuildRequires: python3dist(pytest-asyncio) Recommends: python3dist(pytest-asyncio) # python-pytest-instafail is not yet packaged # BuildRequires: python3dist(pytest-instafail) # Recommends: python3dist(pytest-instafail) # Additional dependencies from environment.yml: # “Dask and its dependencies (that dont install with dask)” # Asks for dask-core, but we just have dask #BuildRequires: python3dist(dask) Recommends: python3dist(dask) BuildRequires: python3dist(toolz) >= 0.7.3 Recommends: python3dist(toolz) >= 0.7.3 #BuildRequires: python3dist(partd) >= 0.3.10 Recommends: python3dist(partd) >= 0.3.10 BuildRequires: python3dist(cloudpickle) >= 0.2.1 Recommends: python3dist(cloudpickle) >= 0.2.1 # Additional dependencies from environment.yml: “downstream tests” BuildRequires: python3dist(seaborn) Recommends: python3dist(seaborn) BuildRequires: python3dist(statsmodels) Recommends: python3dist(statsmodels) # environment.yml: Needed for downstream xarray.CFTimeIndex test BuildRequires: python3dist(cftime) Recommends: python3dist(cftime) # environment.yml: optional BuildRequires: python3dist(ipython) >= 7.11.1 Recommends: python3dist(ipython) >= 7.11.1 # pandas/tests/io/data/spss/*.sav: # # From Haven Provides: bundled(R-haven) # pandas/tests/window/test_rolling.py: test_rolling_std_neg_sqrt() # # unit test from Bottleneck # # There is no reasonable path to unbundling a single unit test. Provides: bundled(python3dist(bottleneck)) %endif %description -n python3-pandas+test These are the tests for python3-pandas. This package: • Provides the “pandas.tests” package • Makes sure the “test” extra dependencies are installed • Carries additonal weak dependencies for running the tests %prep %autosetup -n pandas-%{version} -p1 # Ensure Cython-generated sources are re-generated rm -vf $(grep -rl '/\* Generated by Cython') # We just want to build with the numpy in Fedora: sed -r -i '/\boldest-supported-numpy\b/d' pyproject.toml %if 0%{?fc37} # We have Python 3.11, but we do not have the numpy version that Pandas upstrem # wants for Python 3.11. sed -r -i "s/(numpy>=)1\\.23\\.2(; python_version>='3\\.11')/\\11.22.0\\2/" \ setup.cfg %endif %generate_buildrequires %pyproject_buildrequires -r %{?with_tests:-x test} %build %pyproject_wheel %install %pyproject_install %pyproject_save_files pandas %check %if %{with tests} # Clipboard tests don’t run without a graphical session, and it’s not worth # using xvfb-run just for them. m="${m-}${m+ and }not clipboard" %if %{without single_tests} m="${m-}${m+ and }not single" %endif # This test allocates a huge amount of memory (~12GB), which causes flaky OOM # failures on some builders. It’s not worth it. # https://github.com/pandas-dev/pandas/issues/45223#issuecomment-1250912663 k="${k-}${k+ and }not test_bytes_exceed_2gb" # This test (only) expects the current working directory to be the # site-packages directory containing the built pandas. This is not how we run # the tests, because we don’t want to clutter the buildroot with # testing-related hidden files and directories. We could run tests from # %%pyproject_build_lib if this were a problem for a lot of tests, but it’s # easier just to skip it. k="${k-}${k+ and }not test_html_template_extends_options" %ifarch ppc64le s390x # TODO: Why does this fail? The differences are large! k="${k-}${k+ and }not test_rolling_var_numerical_issues" %endif %ifarch %{ix86} # These failures are i686-specific; most are likely 32-bit issues. It’s not # really worth trying to fix them. # This “high-memory” test is just not appropriate for 32-bit platforms: # E OverflowError: join() result is too long for a Python string k="${k-}${k+ and }not test_bytes_exceed_2gb[c_high]" # E assert 243.164 == 243.16400000000002 # Fails for both [c_high] and [c_low]. k="${k-}${k+ and }not test_float_precision_options" # E AssertionError: DataFrame.iloc[:, 2] (column name="C") are different # E # E DataFrame.iloc[:, 2] (column name="C") values are different (11.66363 %) # E [index]: [0, 1, … # Fails for [left], [right], [outer], and [inner] k="${k-}${k+ and }not (TestMerge and test_int64_overflow_how_merge)" # E AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="b") are different # E # E Attribute "dtype" are different # E [left]: int32 # E [right]: int64 k="${k-}${k+ and }not test_frame_setitem_dask_array_into_new_col" # E IndexError: index 0 is out of bounds for axis 0 with size 0 k="${k-}${k+ and }not (TestPivotTable and test_pivot_number_of_levels_larger_than_int32)" k="${k-}${k+ and }not (TestStackUnstackMultiLevel and test_unstack_number_of_levels_larger_than_int32)" # E OverflowError: timestamp out of range for platform time_t # These fail only for the [tzlocal()] case, but it’s not clear how to validly # name those in a pytest keyword expression due to the parentheses in tzlocal() k="${k-}${k+ and }not (TestTimestampProperties and test_is_leap_year)" k="${k-}${k+ and }not (TestBusinessDay and test_apply_out_of_range)" k="${k-}${k+ and }not (TestBusinessHour and test_apply_out_of_range)" k="${k-}${k+ and }not (TestCustomBusinessDay and test_apply_out_of_range)" k="${k-}${k+ and }not (TestCustomBusinessHour and test_apply_out_of_range)" k="${k-}${k+ and }not (TestWeek and test_apply_out_of_range)" # E AssertionError: Index are different # E # E Index length are different k="${k-}${k+ and }not (TestDateRanges and test_date_range_int64_overflow_stride_endpoint_different_signs)" %endif %ifarch s390x # Note that pandas does not test big-endian support but will happily accept # patches to improve it: # https://github.com/pandas-dev/pandas/issues/4737#issuecomment-1090931741 # TODO: Why does this fail? # # > os.fsync(self._handle.fileno()) # E OverflowError: Python int too large to convert to C int k="${k-}${k+ and }not test_flush" # These are a cluster of similar pyarrow/parquet tests with apparent endianness # issues. It is not immediately obvious where the bug is—in the library or in # the tests? k="${k-}${k+ and }not (TestBasic and test_write_index[pyarrow])" k="${k-}${k+ and }not (TestBasic and test_multiindex_with_columns)" k="${k-}${k+ and }not (TestBasic and test_write_column_multiindex_string)" k="${k-}${k+ and }not (TestBasic and test_write_column_index_string)" k="${k-}${k+ and }not (TestBasic and test_use_nullable_dtypes[pyarrow])" k="${k-}${k+ and }not (TestParquetPyArrow and test_basic)" k="${k-}${k+ and }not (TestParquetPyArrow and test_to_bytes_without_path_or_buf_provided)" k="${k-}${k+ and }not (TestParquetPyArrow and test_categorical)" k="${k-}${k+ and }not (TestParquetPyArrow and test_additional_extension_arrays)" k="${k-}${k+ and }not (TestParquetPyArrow and test_pyarrow_backed_string_array[python])" k="${k-}${k+ and }not (TestParquetPyArrow and test_pyarrow_backed_string_array[pyarrow])" k="${k-}${k+ and }not (TestParquetPyArrow and test_additional_extension_types)" k="${k-}${k+ and }not (TestParquetPyArrow and test_timezone_aware_index[timezone_aware_date_list0])" k="${k-}${k+ and }not test_to_read_gcs[parquet]" # Similarly, there are a cluster of similar stata test failures for which the # root cause is not immediately obvious. k="${k-}${k+ and }not (TestStata and test_writer_117)" k="${k-}${k+ and }not (TestStata and test_convert_strl_name_swap)" k="${k-}${k+ and }not (TestStata and test_strl_latin1)" # Fails for [118], [119], and [None] k="${k-}${k+ and }not (TestStata and test_utf8_writer)" %endif # TODO: Why does this fail? # E assert 0 == 1 k="${k-}${k+ and }not test_switch_options" %ifarch x86_64 # These are brittle and fail with tiny floating-point differences on COPR # builders but not Koji builders, like: # > raise_assert_detail(obj, msg, left, right, index_values=index_values) # E AssertionError: numpy array are different # E # E numpy array values are different (16.66667 %) # E [left]: [0.09999999999999999, 1.0, 10.0, 100.0, 1000.0, 10000.0] # E [right]: [0.1, 1.0, 10.0, 100.0, 1000.0, 10000.0] k="${k-}${k+ and }not (TestSeriesPlots and test_bar_log)" k="${k-}${k+ and }not (TestDataFramePlotsSubplots and test_bar_log_no_subplots)" k="${k-}${k+ and }not (TestDataFramePlotsSubplots and test_bar_log_subplots)" %endif %if 0%{?fedora} > 37 # The text of an error message has changed in libarrow/pyarrow 10, which is # harmless but breaks one test. Disable it until a patch is available upstream. # CI: pyarrow 10 broke our ci # https://github.com/pandas-dev/pandas/issues/50058 k="${k-}${k+ and }not test_arrow_array" # Probably also related to upstream pinning pyarrow < 10 for CI: # E TypeError: Expected unicode, got pyarrow.lib.StringScalar k="${k-}${k+ and }not (TestConstructors and test_from_sequence_of_strings_pa_array)" # TODO: Why does this fail? Does it need a slightly older version of dask? # E AssertionError: Caused unexpected warning(s): [('RuntimeWarning', RuntimeWarning('invalid value encountered in cast'), '/builddir/build/BUILDROOT/python-pandas-1.5.3-1.fc39.x86_64/usr/lib64/python3.11/site-packages/pandas/core/dtypes/cast.py', 1836)] k="${k-}${k+ and }not test_construct_dask_float_array_int_dtype_match_ndarray" # Incompatibility with python-xarray ≥ 2023.01.0. See: # https://github.com/pydata/xarray/blob/v2023.02.0/doc/whats-new.rst#breaking-changes-1 # CFTimeIndex.get_loc() got an unexpected keyword argument 'method' k="${k-}${k+ and }not test_xarray_cftimeindex_nearest" %endif %if 0%{?fc37} # TODO: Why do these fail on F37 but not on F38? # E AssertionError: Did not use numexpr as expected. # E assert [] k="${k-}${k+ and }not (TestExpressions and test_run_binary)" %endif # Ensure pytest doesn’t find the “un-built” library. We can get away with this # approach because the tests are also in the installed library. We can’t simply # “cd” to the buildroot’s python3_sitearch because testing leaves files in the # current working directory. mkdir -p _empty cd _empty # See: test_fast.sh # Workaround for pytest-xdist flaky collection order # https://github.com/pytest-dev/pytest/issues/920 # https://github.com/pytest-dev/pytest/issues/1075 export PYTHONHASHSEED="$( %{python3} -c 'import random; print(random.randint(1, 4294967295))' )" # Previously, we ran tests in parallel. Upstream seems to support this; # however, in practice, there were still some flaky test failures that seem to # be fixed by eschewing parallelism. # # If we start running tests in parallel again in the future, note that on # 32-bit platforms (%%if 0%%{?__isa_bits} == 32) it may be necessary to limit # the number of concurrent tests to e.g. 8 in order to prevent memory # exhaustion. #%constrain_build -c 1 %pytest -v '%{buildroot}%{python3_sitearch}/pandas' \ %{?!with_slow_tests:--skip-slow} \ --skip-network \ --skip-db \ -m "${m-}" \ -k "${k-}" \ -n %{_smp_build_ncpus} \ -r sxX || : %else # Some imports require optional dependencies, and must be excluded during # bootstrapping. %{pyproject_check_import \ %{?with_bootstrap:-e 'pandas.io.formats.style'} \ %{?with_bootstrap:-e 'pandas.io.formats.style_render'} \ -e 'pandas.conftest' \ -e 'pandas.tests.*'} %endif %files -n python3-pandas -f %{pyproject_files} # While pyproject_files automatically handles the LICENSE file in the Python # package’s dist-info directory, we also want to package the entire LICENSES/ # directory to include third-party license text. We include a second copy of # the LICENSE file since it would be surprising to see a license directory for # the package without the overall license file in it. %license LICENSE LICENSES/ %doc README.md %doc RELEASE.md %exclude %{python3_sitearch}/pandas/tests %files -n python3-pandas+test %{python3_sitearch}/pandas/tests %ghost %{python3_sitearch}/*.dist-info %changelog * Mon Feb 27 2023 Benjamin A. Beasley - 1.5.3-1 - Update to 1.5.3 (close RHBZ#2162303) * Sun Dec 04 2022 Benjamin A. Beasley - 1.5.2-1 - Update to 1.5.2 - Re-enable python-gcsfs BR/weak-dep. on F38 and later - Work around a harmless test failure with libarrow/pyarrow 10 - Allow a slightly older numpy version for F37 - Skip a test that sometimes hangs on aarch64 and ppc64le - Additional test skips for F37 - Drop some test skips that are no longer needed - Fix several flaky test failures by no longer running tests in parallel * Wed Nov 23 2022 Benjamin A. Beasley - 1.5.1-2 - Update license breakdown and convert to SPDX - Fully update optional dependencies and their versions - Do not BR/Recommend pyarrow on 32-bit arches, where it is unavailable - Drop accommodations for 32-bit ARM and Fedoras older than 36 - Update test skips for i686 * Mon Nov 07 2022 Jonathan Wright - 1.5.1-1 - Update to 1.5.1 rhbz#2014890 * Fri Jul 22 2022 Fedora Release Engineering - 1.3.5-4 - Rebuilt for https://fedoraproject.org/wiki/Fedora_37_Mass_Rebuild * Wed Jun 29 2022 Python Maint - 1.3.5-3 - Rebuilt for Python 3.11 * Mon Jun 13 2022 Python Maint - 1.3.5-2 - Bootstrap for Python 3.11 * Sat Apr 02 2022 Benjamin A. Beasley - 1.3.5-1 - Update to 1.3.5 - Drop compatibility with old RHEL releases that will not get this version anyway - Update weak dependencies from documentation - Also package README.md - Do not install C sources - Carefully handle virtual Provides and licenses for bundled/copied code - Use pyproject-rpm-macros - Run the tests (requires switching to GitHub source) - Minimize optional dependencies when bootstrapping * Fri Jan 21 2022 Fedora Release Engineering - 1.3.3-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_36_Mass_Rebuild * Thu Oct 07 2021 Sergio Pascual - 1.3.3-2 - New release of pandas 1.3.3 - Add missing sources * Fri Jul 23 2021 Fedora Release Engineering - 1.3.0-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_35_Mass_Rebuild * Wed Jul 21 2021 Sergio Pascual - 1.3.0-1 - New release of pandas 1.3.0 * Mon Jun 07 2021 Python Maint - 1.2.4-2 - Rebuilt for Python 3.10 * Fri Jun 04 2021 Sergio Pascual - 1.2.4-1 - New release of pandas 1.2.4 * Fri Jun 04 2021 Python Maint - 1.2.1-3 - Rebuilt for Python 3.10 * Wed Jan 27 2021 Fedora Release Engineering - 1.2.1-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_34_Mass_Rebuild * Sun Jan 24 2021 Orion Poplawski - 1.2.1-1 - Update to 1.2.1 * Wed Jan 13 2021 Sergio Pascual - 1.2.0-1 - New release of pandas 1.2.0 * Fri Nov 27 2020 Sergio Pascual - 1.1.4-1 - New release of pandas 1.1.4 * Wed Jul 29 2020 Fedora Release Engineering - 1.0.5-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_33_Mass_Rebuild * Sun Jul 05 2020 Elliott Sales de Andrade - 1.0.5-1 - Update to latest version * Mon May 25 2020 Miro Hrončok - 1.0.1-2 - Rebuilt for Python 3.9 * Fri Feb 07 2020 Orion Poplawski - 1.0.1-1 - Update to 1.0.1 * Thu Jan 30 2020 Fedora Release Engineering - 0.25.3-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_32_Mass_Rebuild * Mon Nov 11 2019 Sergio Pascual - 0.25.3-1 - New release of pandas 0.25.3 (python 3.8 support included) * Fri Sep 13 2019 Elliott Sales de Andrade - 0.25.1-2 - Backport patch for Python 3.8 compatibility * Sat Aug 24 2019 Zbigniew Jędrzejewski-Szmek - 0.25.1-1 - Update to latest version * Mon Aug 19 2019 Miro Hrončok - 0.24.1-5 - Rebuilt for Python 3.8 * Fri Jul 26 2019 Fedora Release Engineering - 0.24.1-4 - Rebuilt for https://fedoraproject.org/wiki/Fedora_31_Mass_Rebuild * Thu Jun 27 2019 Elliott Sales de Andrade - 0.24.1-3 - Fix doc build with numpydoc 0.9 * Tue Jun 18 2019 Miro Hrončok - 0.24.1-2 - Subpackage python2-pandas has been removed See https://fedoraproject.org/wiki/Changes/Mass_Python_2_Package_Removal * Thu Mar 07 2019 Elliott Sales de Andrade - 0.24.1-1 - Update to 0.24.1 * Sat Feb 02 2019 Fedora Release Engineering - 0.23.4-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_30_Mass_Rebuild * Tue Aug 21 2018 Sergio Pascual - 0.23.4-1 - New release of pandas 0.23.4 * Sat Jul 14 2018 Fedora Release Engineering - 0.23.0-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_29_Mass_Rebuild * Tue Jun 19 2018 Miro Hrončok - 0.23.0-2 - Rebuilt for Python 3.7 * Tue Jun 05 2018 Sergio Pascual - 0.23.0-1 - New release of pandas 0.23.0 * Fri Feb 09 2018 Fedora Release Engineering - 0.22.0-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_28_Mass_Rebuild * Wed Jan 17 2018 Sergio Pascual - 0.22.0-1 - New release of pandas 0.22.0 * Tue Jan 16 2018 Troy Dawson - 0.20.3-2 - Update conditionals * Sun Sep 10 2017 Sergio Pascual - 0.20.3-1 - New upstream version (0.20.3) * Thu Aug 03 2017 Fedora Release Engineering - 0.20.1-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Binutils_Mass_Rebuild * Thu Jul 27 2017 Fedora Release Engineering - 0.20.1-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Mass_Rebuild * Mon May 15 2017 Sergio Pascual - 0.20.1-1 - New upstream version (0.20.1) * Sat Feb 11 2017 Fedora Release Engineering - 0.19.2-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_26_Mass_Rebuild * Fri Jan 27 2017 Sergio Pascual - 0.19.2-1 - New upstream version (0.19.2) * Mon Dec 19 2016 Miro Hrončok - 0.19.1-2 - Rebuild for Python 3.6 * Wed Nov 09 2016 Sergio Pascual - 0.19.1-1 - New upstream version (0.19.1) * Wed Oct 19 2016 Sergio Pascual - 0.19.0-1 - New upstream version (0.19.0) - Brings pandas-datareader using recommends * Sat Oct 15 2016 Peter Robinson - 0.18.1-3 - rebuilt for matplotlib-2.0.0 * Tue Jul 19 2016 Fedora Release Engineering - 0.18.1-2 - https://fedoraproject.org/wiki/Changes/Automatic_Provides_for_Python_RPM_Packages * Wed Jul 13 2016 Sergio Pascual - 0.18.1-1 - New upstream version (0.18.1) - Update pypi url * Sat Apr 09 2016 Igor Gnatenko - 0.18.0-3 - Fix broken deps * Sat Apr 09 2016 Igor Gnatenko - 0.18.0-2 - Fix python_provide macros usage (FTBFS for some packages) * Wed Mar 30 2016 Sergio Pascual - 0.18.0-1 - New upstream version (0.18.0) * Thu Feb 04 2016 Fedora Release Engineering - 0.17.1-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_24_Mass_Rebuild * Sun Jan 03 2016 Sergio Pascual - 0.17.1-1 - New upstream version (0.17.1) - Add new dependecy as weak dep (fixes bz #1288919) * Tue Nov 10 2015 Fedora Release Engineering - 0.17.0-3 - Rebuilt for https://fedoraproject.org/wiki/Changes/python3.5 * Wed Oct 28 2015 Orion Poplawski - 0.17.0-2 - Use common build directory, new python macros - Filter provides - Fix provides * Mon Oct 12 2015 Sergio Pascual - 0.17.0-1 - New release of pandas 0.17.0 * Thu Jun 18 2015 Fedora Release Engineering - 0.16.2-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_23_Mass_Rebuild * Mon Jun 15 2015 Sergio Pascual - 0.16.2-1 - New release of pandas 0.16.2 * Mon May 18 2015 Sergio Pascual - 0.16.1-1 - New release of pandas 0.16.1 * Sat May 02 2015 Kalev Lember - 0.16.0-2 - Rebuilt for GCC 5 C++11 ABI change * Tue Mar 24 2015 Sergio Pascual - 0.16.0-1 - New release of pandas 0.16.0 - Use license macro - Don't use py3dir (new python guidelines) * Tue Jan 20 2015 Sergio Pascual - 0.15.2-3 - Pandas actually supports dateutil 2 * Mon Jan 19 2015 Sergio Pascual - 0.15.2-2 - Update dependency on dateutil to dateutil15 (bz #1183368) * Wed Dec 17 2014 Sergio Pascual - 0.15.2-1 - New release of pandas 0.15.2 * Thu Nov 20 2014 Sergio Pascual - 0.15.1-1 - New release of pandas 0.15.1 * Mon Oct 20 2014 Sergio Pascual - 0.15.0-1 - New release of pandas 0.15.0 * Sun Aug 17 2014 Fedora Release Engineering - 0.14.1-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_21_22_Mass_Rebuild * Sun Jul 13 2014 Sergio Pascual - 0.14.1-1 - New release of pandas 0.14.1 * Mon Jun 16 2014 Sergio Pascual - 0.14.0-1 - New release of pandas 0.14.0 * Sat Jun 07 2014 Fedora Release Engineering - 0.12.0-6 - Rebuilt for https://fedoraproject.org/wiki/Fedora_21_Mass_Rebuild * Wed May 14 2014 Bohuslav Kabrda - 0.12.0-5 - Rebuilt for https://fedoraproject.org/wiki/Changes/Python_3.4 * Tue Jan 28 2014 Sergio Pascual - 0.12.0-4 - Enable python3 build - Set CFLAGS before build * Fri Dec 13 2013 Kushal Das 0.12.0-3 - Fixed dependency name * Fri Dec 06 2013 Pierre-Yves Chibon fr - 0.12.0-2 - Change BR from python-setuptools-devel to python-setuptools See https://fedoraproject.org/wiki/Changes/Remove_Python-setuptools-devel * Fri Sep 20 2013 Kushal Das 0.12.0-1 - New release of pandas 0.12.0 * Sun Aug 04 2013 Fedora Release Engineering - 0.10.0-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_20_Mass_Rebuild * Thu Feb 14 2013 Fedora Release Engineering - 0.10.0-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_19_Mass_Rebuild * Mon Dec 24 2012 Kushal Das 0.10.0-1 - New release of pandas 0.10.0 * Thu Nov 08 2012 Kushal Das 0.10.0-1 - New release of pandas 0.10.0 * Thu Nov 08 2012 Kushal Das 0.9-1 - New release of pandas * Fri Aug 03 2012 Kushal Das 0.8.1-2 - Fixes from review request * Tue Jul 10 2012 Kushal Das 0.8.1-1 - Initial release in Fedora