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After upgrading to NumPy 2.0.0, 6 tests fail:
$ tox -e py312 .pkg: _optional_hooks> python /usr/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ .pkg: get_requires_for_build_sdist> python /usr/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ .pkg: get_requires_for_build_wheel> python /usr/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ .pkg: prepare_metadata_for_build_wheel> python /usr/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ .pkg: build_sdist> python /usr/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ py312: install_package> python -I -m pip install --force-reinstall --no-deps /tmp/patsy/.tox/.tmp/package/2/patsy-0.5.6.tar.gz py312: commands[0]> pytest -vv --cov=patsy --cov-config=/tmp/patsy/.coveragerc --cov-report=term-missing --cov-report=xml --cov-report=html:/tmp/patsy/.tox/coverage/py312 ========================================================= test session starts ========================================================= platform linux -- Python 3.12.3, pytest-8.2.2, pluggy-1.5.0 -- /tmp/patsy/.tox/py312/bin/python cachedir: .tox/py312/.pytest_cache rootdir: /tmp/patsy configfile: setup.cfg testpaths: patsy plugins: cov-5.0.0 collected 148 items patsy/build.py::test__max_allowed_dim PASSED [ 0%] patsy/build.py::test__eval_factor_numerical PASSED [ 1%] patsy/build.py::test__eval_factor_categorical PASSED [ 2%] patsy/build.py::test__column_combinations PASSED [ 2%] patsy/build.py::test__subterm_column_names_iter_and__build_subterm PASSED [ 3%] patsy/build.py::test__factors_memorize PASSED [ 4%] patsy/build.py::test__examine_factor_types PASSED [ 4%] patsy/builtins.py::test_I PASSED [ 5%] patsy/builtins.py::test_Q PASSED [ 6%] patsy/categorical.py::test_C PASSED [ 6%] patsy/categorical.py::test_guess_categorical PASSED [ 7%] patsy/categorical.py::test_CategoricalSniffer PASSED [ 8%] patsy/categorical.py::test_categorical_to_int PASSED [ 8%] patsy/constraint.py::test_LinearConstraint PASSED [ 9%] patsy/constraint.py::test_LinearConstraint_combine PASSED [ 10%] patsy/constraint.py::test__tokenize_constraint PASSED [ 10%] patsy/constraint.py::test_linear_constraint PASSED [ 11%] patsy/constraint.py::test_eval_errors PASSED [ 12%] patsy/contrasts.py::test_ContrastMatrix PASSED [ 12%] patsy/contrasts.py::test__obj_to_readable_str PASSED [ 13%] patsy/contrasts.py::test__name_levels PASSED [ 14%] patsy/contrasts.py::test__get_level PASSED [ 14%] patsy/contrasts.py::test_Treatment PASSED [ 15%] patsy/contrasts.py::test_Poly PASSED [ 16%] patsy/contrasts.py::test_Sum PASSED [ 16%] patsy/contrasts.py::test_Helmert PASSED [ 17%] patsy/contrasts.py::test_diff PASSED [ 18%] patsy/desc.py::test_Term PASSED [ 18%] patsy/desc.py::test_ModelDesc PASSED [ 19%] patsy/desc.py::test_ModelDesc_from_formula PASSED [ 20%] patsy/desc.py::test_eval_formula PASSED [ 20%] patsy/desc.py::test_eval_formula_error_reporting PASSED [ 21%] patsy/desc.py::test_formula_factor_origin PASSED [ 22%] patsy/design_info.py::test_FactorInfo PASSED [ 22%] patsy/design_info.py::test_SubtermInfo PASSED [ 23%] patsy/design_info.py::test_DesignInfo PASSED [ 24%] patsy/design_info.py::test_DesignInfo_from_array PASSED [ 25%] patsy/design_info.py::test_DesignInfo_linear_constraint PASSED [ 25%] patsy/design_info.py::test_DesignInfo_deprecated_attributes PASSED [ 26%] patsy/design_info.py::test__format_float_column PASSED [ 27%] patsy/design_info.py::test_design_matrix PASSED [ 27%] patsy/eval.py::test_VarLookupDict PASSED [ 28%] patsy/eval.py::test_ast_names PASSED [ 29%] patsy/eval.py::test_ast_names_disallowed_nodes PASSED [ 29%] patsy/eval.py::test_EvalEnvironment_capture_namespace PASSED [ 30%] patsy/eval.py::test_EvalEnvironment_capture_flags PASSED [ 31%] patsy/eval.py::test_EvalEnvironment_eval_namespace PASSED [ 31%] patsy/eval.py::test_EvalEnvironment_eval_flags PASSED [ 32%] patsy/eval.py::test_EvalEnvironment_subset PASSED [ 33%] patsy/eval.py::test_EvalEnvironment_eq PASSED [ 33%] patsy/eval.py::test_EvalFactor_basics PASSED [ 34%] patsy/eval.py::test_EvalFactor_memorize_passes_needed PASSED [ 35%] patsy/eval.py::test_EvalFactor_end_to_end PASSED [ 35%] patsy/eval.py::test_annotated_tokens PASSED [ 36%] patsy/eval.py::test_replace_bare_funcalls PASSED [ 37%] patsy/eval.py::test_capture_obj_method_calls PASSED [ 37%] patsy/infix_parser.py::test_infix_parse PASSED [ 38%] patsy/mgcv_cubic_splines.py::test__map_cyclic PASSED [ 39%] patsy/mgcv_cubic_splines.py::test__map_cyclic_errors PASSED [ 39%] patsy/mgcv_cubic_splines.py::test__row_tensor_product_errors PASSED [ 40%] patsy/mgcv_cubic_splines.py::test__row_tensor_product PASSED [ 41%] patsy/mgcv_cubic_splines.py::test__get_all_sorted_knots PASSED [ 41%] patsy/mgcv_cubic_splines.py::test_crs_errors PASSED [ 42%] patsy/mgcv_cubic_splines.py::test_crs_compat PASSED [ 43%] patsy/mgcv_cubic_splines.py::test_crs_with_specific_constraint PASSED [ 43%] patsy/mgcv_cubic_splines.py::test_te_errors PASSED [ 44%] patsy/mgcv_cubic_splines.py::test_te_1smooth PASSED [ 45%] patsy/mgcv_cubic_splines.py::test_te_2smooths PASSED [ 45%] patsy/mgcv_cubic_splines.py::test_te_3smooths PASSED [ 46%] patsy/missing.py::test_NAAction_basic PASSED [ 47%] patsy/missing.py::test_NAAction_NA_types_numerical PASSED [ 47%] patsy/missing.py::test_NAAction_NA_types_categorical PASSED [ 48%] patsy/missing.py::test_NAAction_drop PASSED [ 49%] patsy/missing.py::test_NAAction_raise PASSED [ 50%] patsy/origin.py::test_Origin PASSED [ 50%] patsy/parse_formula.py::test__tokenize_formula PASSED [ 51%] patsy/parse_formula.py::test_parse_formula PASSED [ 52%] patsy/parse_formula.py::test_parse_origin PASSED [ 52%] patsy/parse_formula.py::test_parse_errors PASSED [ 53%] patsy/parse_formula.py::test_parse_extra_op PASSED [ 54%] patsy/redundancy.py::test__Subterm PASSED [ 54%] patsy/redundancy.py::test__subsets_sorted PASSED [ 55%] patsy/redundancy.py::test__simplify_subterms PASSED [ 56%] patsy/redundancy.py::test_pick_contrasts_for_term PASSED [ 56%] patsy/splines.py::test__R_compat_quantile PASSED [ 57%] patsy/splines.py::test_bs_compat PASSED [ 58%] patsy/splines.py::test_bs_0degree PASSED [ 58%] patsy/splines.py::test_bs_errors PASSED [ 59%] patsy/test_build.py::test_assert_full_rank PASSED [ 60%] patsy/test_build.py::test_simple PASSED [ 60%] patsy/test_build.py::test_R_bugs PASSED [ 61%] patsy/test_build.py::test_redundancy_thoroughly PASSED [ 62%] patsy/test_build.py::test_data_types PASSED [ 62%] patsy/test_build.py::test_build_design_matrices_dtype PASSED [ 63%] patsy/test_build.py::test_return_type PASSED [ 64%] patsy/test_build.py::test_NA_action PASSED [ 64%] patsy/test_build.py::test_NA_drop_preserves_levels PASSED [ 65%] patsy/test_build.py::test_return_type_pandas PASSED [ 66%] patsy/test_build.py::test_data_mismatch PASSED [ 66%] patsy/test_build.py::test_data_independent_builder PASSED [ 67%] patsy/test_build.py::test_same_factor_in_two_matrices PASSED [ 68%] patsy/test_build.py::test_eval_env_type_builder PASSED [ 68%] patsy/test_build.py::test_categorical PASSED [ 69%] patsy/test_build.py::test_contrast PASSED [ 70%] patsy/test_build.py::test_DesignInfo_subset PASSED [ 70%] patsy/test_highlevel.py::test_formula_likes FAILED [ 71%] patsy/test_highlevel.py::test_return_pandas PASSED [ 72%] patsy/test_highlevel.py::test_term_info PASSED [ 72%] patsy/test_highlevel.py::test_data_types PASSED [ 73%] patsy/test_highlevel.py::test_categorical PASSED [ 74%] patsy/test_highlevel.py::test_builtins FAILED [ 75%] patsy/test_highlevel.py::test_incremental FAILED [ 75%] patsy/test_highlevel.py::test_env_transform PASSED [ 76%] patsy/test_highlevel.py::test_term_order PASSED [ 77%] patsy/test_highlevel.py::test_future PASSED [ 77%] patsy/test_highlevel.py::test_multicolumn PASSED [ 78%] patsy/test_highlevel.py::test_dmatrix_dmatrices_no_data PASSED [ 79%] patsy/test_highlevel.py::test_designinfo_describe PASSED [ 79%] patsy/test_highlevel.py::test_evalfactor_reraise PASSED [ 80%] patsy/test_highlevel.py::test_dmatrix_NA_action PASSED [ 81%] patsy/test_highlevel.py::test_0d_data PASSED [ 81%] patsy/test_highlevel.py::test_env_not_saved_in_builder PASSED [ 82%] patsy/test_highlevel.py::test_C_and_pandas_categorical PASSED [ 83%] patsy/test_regressions.py::test_issue_11 PASSED [ 83%] patsy/test_state.py::test_Center FAILED [ 84%] patsy/test_state.py::test_stateful_transform_wrapper FAILED [ 85%] patsy/test_state.py::test_Standardize PASSED [ 85%] patsy/tokens.py::test_python_tokenize PASSED [ 86%] patsy/tokens.py::test_pretty_untokenize_and_normalize_token_spacing PASSED [ 87%] patsy/user_util.py::test_balanced PASSED [ 87%] patsy/user_util.py::test_demo_data PASSED [ 88%] patsy/user_util.py::test_LookupFactor PASSED [ 89%] patsy/util.py::test_asarray_or_pandas FAILED [ 89%] patsy/util.py::test_atleast_2d_column_default PASSED [ 90%] patsy/util.py::test_pandas_friendly_reshape PASSED [ 91%] patsy/util.py::test_to_uniqueify_list PASSED [ 91%] patsy/util.py::test_wide_dtype_for_and_widen PASSED [ 92%] patsy/util.py::test_PushbackAdapter PASSED [ 93%] patsy/util.py::test_repr_pretty PASSED [ 93%] patsy/util.py::test_SortAnythingKey PASSED [ 94%] patsy/util.py::test_safe_scalar_isnan PASSED [ 95%] patsy/util.py::test_safe_isnan PASSED [ 95%] patsy/util.py::test_iterable PASSED [ 96%] patsy/util.py::test_pandas_Categorical_from_codes PASSED [ 97%] patsy/util.py::test_pandas_Categorical_accessors PASSED [ 97%] patsy/util.py::test_safe_is_pandas_categorical PASSED [ 98%] patsy/util.py::test_safe_issubdtype PASSED [ 99%] patsy/util.py::test_safe_string_eq PASSED [100%] ============================================================== FAILURES =============================================================== _________________________________________________________ test_formula_likes __________________________________________________________ def test_formula_likes(): # Plain array-like, rhs only > t([[1, 2, 3], [4, 5, 6]], {}, 0, False, [[1, 2, 3], [4, 5, 6]], ["x0", "x1", "x2"]) patsy/test_highlevel.py:150: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ patsy/test_highlevel.py:104: in t rhs = f(formula_like, data, depth) patsy/highlevel.py:290: in dmatrix (lhs, rhs) = _do_highlevel_design(formula_like, data, eval_env, patsy/highlevel.py:181: in _do_highlevel_design (lhs, rhs) = (None, asarray_or_pandas(formula_like, subok=True)) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = [[1, 2, 3], [4, 5, 6]], copy = False, dtype = None, subok = True def asarray_or_pandas(a, copy=False, dtype=None, subok=False): if have_pandas: if isinstance(a, (pandas.Series, pandas.DataFrame)): # The .name attribute on Series is discarded when passing through # the constructor: # https://github.com/pydata/pandas/issues/1578 extra_args = {} if hasattr(a, "name"): extra_args["name"] = a.name return a.__class__(a, copy=copy, dtype=dtype, **extra_args) > return np.array(a, copy=copy, dtype=dtype, subok=subok) E ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. patsy/util.py:67: ValueError ____________________________________________________________ test_builtins ____________________________________________________________ msg = 'Error evaluating factor', origin = EvalFactor('center(x)') f = <bound method EvalEnvironment.eval of <patsy.eval.EvalEnvironment object at 0x7f14286b5fd0>> args = ('_patsy_stobj0__center__.transform(x)',) kwargs = {'inner_namespace': VarLookupDict([{}, {'x': [1, 2, 3], 'y': [4, 5, 6], 'a b c': [10, 20, 30]}, {'_patsy_stobj0__center__': <patsy.state.Center object at 0x7f14286b4a40>}])} new_exc = PatsyError('Error evaluating factor: ValueError: Unable to avoid copy while creating an array as requested.\nIf using ...r more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.') def call_and_wrap_exc(msg, origin, f, *args, **kwargs): try: > return f(*args, **kwargs) patsy/compat.py:36: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ patsy/eval.py:169: in eval return eval(code, {}, VarLookupDict([inner_namespace] patsy/state.py:106: in transform x = asarray_or_pandas(x) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = [1, 2, 3], copy = False, dtype = None, subok = False def asarray_or_pandas(a, copy=False, dtype=None, subok=False): if have_pandas: if isinstance(a, (pandas.Series, pandas.DataFrame)): # The .name attribute on Series is discarded when passing through # the constructor: # https://github.com/pydata/pandas/issues/1578 extra_args = {} if hasattr(a, "name"): extra_args["name"] = a.name return a.__class__(a, copy=copy, dtype=dtype, **extra_args) > return np.array(a, copy=copy, dtype=dtype, subok=subok) E ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. patsy/util.py:67: ValueError The above exception was the direct cause of the following exception: def test_builtins(): data = {"x": [1, 2, 3], "y": [4, 5, 6], "a b c": [10, 20, 30]} t("0 + I(x + y)", data, 0, True, [[1], [2], [3], [4], [5], [6]], ["I(x + y)"]) t("Q('a b c')", data, 0, True, [[1, 10], [1, 20], [1, 30]], ["Intercept", "Q('a b c')"]) > t("center(x)", data, 0, True, [[1, -1], [1, 0], [1, 1]], ["Intercept", "center(x)"]) patsy/test_highlevel.py:498: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ patsy/test_highlevel.py:83: in t builder = incr_dbuilder(formula_like, data_iter_maker, depth) patsy/highlevel.py:111: in incr_dbuilder design_infos = _try_incr_builders(formula_like, data_iter_maker, eval_env, patsy/highlevel.py:66: in _try_incr_builders return design_matrix_builders([formula_like.lhs_termlist, patsy/build.py:693: in design_matrix_builders cat_levels_contrasts) = _examine_factor_types(all_factors, patsy/build.py:443: in _examine_factor_types value = factor.eval(factor_states[factor], data) patsy/eval.py:568: in eval return self._eval(memorize_state["eval_code"], patsy/eval.py:551: in _eval return call_and_wrap_exc("Error evaluating factor", patsy/compat.py:43: in call_and_wrap_exc exec("raise new_exc from e") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E patsy.PatsyError: Error evaluating factor: ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. E center(x) E ^^^^^^^^^ <string>:1: PatsyError __________________________________________________________ test_incremental ___________________________________________________________ msg = 'Error evaluating factor', origin = EvalFactor('center(np.sin(center(x)))') f = <bound method EvalEnvironment.eval of <patsy.eval.EvalEnvironment object at 0x7f14286ba8a0>> args = ('_patsy_stobj0__center__.memorize_chunk(np.sin(_patsy_stobj1__center__.transform(x)))',) kwargs = {'inner_namespace': VarLookupDict([{}, {'a': ['a2', 'a2', 'a2'], 'x': [1, 2, 3]}, {'_patsy_stobj0__center__': <patsy.state.Center object at 0x7f14286b8f50>, '_patsy_stobj1__center__': <patsy.state.Center object at 0x7f14286b9d00>}])} new_exc = PatsyError('Error evaluating factor: ValueError: Unable to avoid copy while creating an array as requested.\nIf using ...r more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.') def call_and_wrap_exc(msg, origin, f, *args, **kwargs): try: > return f(*args, **kwargs) patsy/compat.py:36: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ patsy/eval.py:169: in eval return eval(code, {}, VarLookupDict([inner_namespace] patsy/state.py:106: in transform x = asarray_or_pandas(x) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = [1, 2, 3], copy = False, dtype = None, subok = False def asarray_or_pandas(a, copy=False, dtype=None, subok=False): if have_pandas: if isinstance(a, (pandas.Series, pandas.DataFrame)): # The .name attribute on Series is discarded when passing through # the constructor: # https://github.com/pydata/pandas/issues/1578 extra_args = {} if hasattr(a, "name"): extra_args["name"] = a.name return a.__class__(a, copy=copy, dtype=dtype, **extra_args) > return np.array(a, copy=copy, dtype=dtype, subok=subok) E ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. patsy/util.py:67: ValueError The above exception was the direct cause of the following exception: def test_incremental(): # incr_dbuilder(s) # stateful transformations datas = [ {"a": ["a2", "a2", "a2"], "x": [1, 2, 3]}, {"a": ["a2", "a2", "a1"], "x": [4, 5, 6]}, ] x = np.asarray([1, 2, 3, 4, 5, 6]) sin_center_x = np.sin(x - np.mean(x)) x_col = sin_center_x - np.mean(sin_center_x) def data_iter_maker(): return iter(datas) > builders = incr_dbuilders("1 ~ a + center(np.sin(center(x)))", data_iter_maker) patsy/test_highlevel.py:516: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ patsy/highlevel.py:129: in incr_dbuilders design_infos = _try_incr_builders(formula_like, data_iter_maker, eval_env, patsy/highlevel.py:66: in _try_incr_builders return design_matrix_builders([formula_like.lhs_termlist, patsy/build.py:689: in design_matrix_builders factor_states = _factors_memorize(all_factors, data_iter_maker, eval_env) patsy/build.py:368: in _factors_memorize factor.memorize_chunk(state, which_pass, data) patsy/eval.py:559: in memorize_chunk self._eval(state["memorize_code"][obj_name], patsy/eval.py:551: in _eval return call_and_wrap_exc("Error evaluating factor", patsy/compat.py:43: in call_and_wrap_exc exec("raise new_exc from e") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E patsy.PatsyError: Error evaluating factor: ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. E 1 ~ a + center(np.sin(center(x))) E ^^^^^^^^^^^^^^^^^^^^^^^^^ <string>:1: PatsyError _____________________________________________________________ test_Center _____________________________________________________________ def test_Center(): > check_stateful(Center, True, [1, 2, 3], [-1, 0, 1]) patsy/test_state.py:117: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ patsy/test_state.py:81: in check_stateful output_chunk = t.transform(input_chunk, *args, **kwargs) patsy/state.py:106: in transform x = asarray_or_pandas(x) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = np.int64(1), copy = False, dtype = None, subok = False def asarray_or_pandas(a, copy=False, dtype=None, subok=False): if have_pandas: if isinstance(a, (pandas.Series, pandas.DataFrame)): # The .name attribute on Series is discarded when passing through # the constructor: # https://github.com/pydata/pandas/issues/1578 extra_args = {} if hasattr(a, "name"): extra_args["name"] = a.name return a.__class__(a, copy=copy, dtype=dtype, **extra_args) > return np.array(a, copy=copy, dtype=dtype, subok=subok) E ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. patsy/util.py:67: ValueError -------------------------------------------------------- Captured stdout call --------------------------------------------------------- [array([1, 2, 3])] [1 2 3] ___________________________________________________ test_stateful_transform_wrapper ___________________________________________________ def test_stateful_transform_wrapper(): > assert np.allclose(center([1, 2, 3]), [-1, 0, 1]) patsy/test_state.py:124: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ patsy/state.py:48: in stateful_transform_wrapper return transform.transform(*args, **kwargs) patsy/state.py:106: in transform x = asarray_or_pandas(x) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = [1, 2, 3], copy = False, dtype = None, subok = False def asarray_or_pandas(a, copy=False, dtype=None, subok=False): if have_pandas: if isinstance(a, (pandas.Series, pandas.DataFrame)): # The .name attribute on Series is discarded when passing through # the constructor: # https://github.com/pydata/pandas/issues/1578 extra_args = {} if hasattr(a, "name"): extra_args["name"] = a.name return a.__class__(a, copy=copy, dtype=dtype, **extra_args) > return np.array(a, copy=copy, dtype=dtype, subok=subok) E ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. patsy/util.py:67: ValueError _______________________________________________________ test_asarray_or_pandas ________________________________________________________ def test_asarray_or_pandas(): import warnings > assert type(asarray_or_pandas([1, 2, 3])) is np.ndarray patsy/util.py:72: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = [1, 2, 3], copy = False, dtype = None, subok = False def asarray_or_pandas(a, copy=False, dtype=None, subok=False): if have_pandas: if isinstance(a, (pandas.Series, pandas.DataFrame)): # The .name attribute on Series is discarded when passing through # the constructor: # https://github.com/pydata/pandas/issues/1578 extra_args = {} if hasattr(a, "name"): extra_args["name"] = a.name return a.__class__(a, copy=copy, dtype=dtype, **extra_args) > return np.array(a, copy=copy, dtype=dtype, subok=subok) E ValueError: Unable to avoid copy while creating an array as requested. E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. patsy/util.py:67: ValueError ---------- coverage: platform linux, python 3.12.3-final-0 ----------- Name Stmts Miss Branch BrPart Cover Missing ---------------------------------------------------------------------------- patsy/__init__.py 58 0 12 2 97.1% 15->20, 58->exit patsy/build.py 314 16 168 10 93.8% 30, 683->685, 791->795, 869, 878->exit, 880-881, 896, 916-920, 926, 954-960 patsy/builtins.py 20 0 0 0 100.0% patsy/categorical.py 115 11 58 6 87.9% 52, 127, 194-195, 313-319, 338-339, 368 patsy/compat.py 18 4 6 2 66.7% 29, 48-50 patsy/compat_ordereddict.py 9 1 0 0 88.9% 15 patsy/constraint.py 198 4 68 0 98.5% 15-16, 425-426 patsy/contrasts.py 163 4 36 1 97.5% 78-81 patsy/desc.py 205 2 56 2 98.5% 397, 407 patsy/design_info.py 322 2 172 2 99.2% 688, 1134 patsy/eval.py 236 1 72 2 99.0% 106->109, 501 patsy/highlevel.py 103 48 56 10 48.4% 28, 42, 44-46, 52-55, 116, 133-135, 157, 160, 173-177, 189-223, 293 patsy/infix_parser.py 140 2 54 0 99.0% 45, 95 patsy/mgcv_cubic_splines.py 282 4 118 4 97.5% 17, 683-685, 713->716, 743->746 patsy/missing.py 52 0 26 0 100.0% patsy/origin.py 36 2 10 0 95.7% 85, 88 patsy/parse_formula.py 92 1 38 1 98.5% 142 patsy/redundancy.py 91 2 28 0 98.3% 67, 105 patsy/splines.py 100 4 48 2 94.6% 16, 243-245 patsy/state.py 65 1 14 1 97.5% 114 patsy/test_build.py 45 2 8 2 92.5% 25, 30 patsy/test_highlevel.py 28 9 4 0 59.4% 29, 59-62, 65-68 patsy/test_regressions.py 1 0 0 0 100.0% patsy/test_splines_bs_data.py 4 0 0 0 100.0% patsy/test_splines_crs_data.py 4 0 0 0 100.0% patsy/test_state.py 59 16 32 4 73.6% 42-63, 86-87, 102, 111 patsy/tokens.py 78 1 36 1 98.2% 39 patsy/user_util.py 69 0 22 0 100.0% patsy/util.py 224 49 86 11 69.0% 37, 46-51, 59-66, 158-161, 238-248, 296->295, 302->301, 446-447, 529, 612-620, 634-639, 646-651, 669, 675-679, 706 patsy/version.py 1 0 0 0 100.0% ---------------------------------------------------------------------------- TOTAL 3132 186 1228 63 92.4% Coverage HTML written to dir /tmp/patsy/.tox/coverage/py312 Coverage XML written to file coverage.xml ======================================================= short test summary info ======================================================= FAILED patsy/test_highlevel.py::test_formula_likes - ValueError: Unable to avoid copy while creating an array as requested. If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. FAILED patsy/test_highlevel.py::test_builtins - patsy.PatsyError: Error evaluating factor: ValueError: Unable to avoid copy while creating an array as requested. If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. center(x) ^^^^^^^^^ FAILED patsy/test_highlevel.py::test_incremental - patsy.PatsyError: Error evaluating factor: ValueError: Unable to avoid copy while creating an array as requested. If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. 1 ~ a + center(np.sin(center(x))) ^^^^^^^^^^^^^^^^^^^^^^^^^ FAILED patsy/test_state.py::test_Center - ValueError: Unable to avoid copy while creating an array as requested. If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. FAILED patsy/test_state.py::test_stateful_transform_wrapper - ValueError: Unable to avoid copy while creating an array as requested. If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. FAILED patsy/util.py::test_asarray_or_pandas - ValueError: Unable to avoid copy while creating an array as requested. If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x). For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword. ============================================== 6 failed, 142 passed in 92.74s (0:01:32) =============================================== py312: exit 1 (93.68 seconds) /tmp/patsy> pytest -vv --cov=patsy --cov-config=/tmp/patsy/.coveragerc --cov-report=term-missing --cov-report=xml --cov-report=html:/tmp/patsy/.tox/coverage/py312 pid=193436 py312: FAIL code 1 (97.18=setup[3.49]+cmd[93.68] seconds) evaluation failed :( (97.26 seconds)
This is with 8546450 (v0.5.6).
The text was updated successfully, but these errors were encountered:
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After upgrading to NumPy 2.0.0, 6 tests fail:
This is with 8546450 (v0.5.6).
The text was updated successfully, but these errors were encountered: