/dports/math/py-pandas/pandas-1.2.5/pandas/core/dtypes/ |
H A D | concat.py | 132 to_concat = non_empties 134 typs = _get_dtype_kinds(to_concat) 146 to_concat = [_cast_to_common_type(arr, target_dtype) for arr in to_concat] 149 cls = type(to_concat[0]) 161 typs = _get_dtype_kinds(to_concat) 169 to_concat = [x.astype("object") for x in to_concat] 345 to_concat = [np.atleast_2d(x) for x in to_concat] 349 def _concat_datetime(to_concat, axis=0): 363 to_concat = [ensure_wrapped_if_datetimelike(x) for x in to_concat] 375 to_concat = [x.reshape(1, -1) if x.ndim == 1 else x for x in to_concat] [all …]
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/dports/math/py-pandas/pandas-1.2.5/pandas/tests/dtypes/ |
H A D | test_concat.py | 45 def test_get_dtype_kinds(index_or_series, to_concat, expected): 46 to_concat_klass = [index_or_series(c) for c in to_concat] 78 def test_get_dtype_kinds_period(to_concat, expected): 79 result = _concat._get_dtype_kinds(to_concat)
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/dports/math/py-pandas/pandas-1.2.5/pandas/core/internals/ |
H A D | concat.py | 313 to_concat = [ 318 if len(to_concat) == 1: 320 concat_values = to_concat[0] 329 elif any(isinstance(t, ExtensionArray) for t in to_concat): 332 to_concat = [t if isinstance(t, ExtensionArray) else t[0, :] for t in to_concat] 333 concat_values = concat_compat(to_concat, axis=0) 343 concat_values = concat_compat(to_concat, axis=concat_axis)
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/dports/math/py-pandas/pandas-1.2.5/pandas/core/arrays/ |
H A D | _mixins.py | 177 to_concat: Sequence[NDArrayBackedExtensionArrayT], 180 dtypes = {str(x.dtype) for x in to_concat} 184 new_values = [x._ndarray for x in to_concat] 186 return to_concat[0]._from_backing_data(new_values)
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H A D | masked.py | 269 cls: Type[BaseMaskedArrayT], to_concat: Sequence[BaseMaskedArrayT] 271 data = np.concatenate([x._data for x in to_concat]) 272 mask = np.concatenate([x._mask for x in to_concat])
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H A D | datetimelike.py | 389 to_concat: Sequence[DatetimeLikeArrayT], 392 new_obj = super()._concat_same_type(to_concat, axis) 394 obj = to_concat[0] 403 to_concat = [x for x in to_concat if len(x)] 405 if obj.freq is not None and all(x.freq == obj.freq for x in to_concat): 406 pairs = zip(to_concat[:-1], to_concat[1:])
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H A D | string_arrow.py | 259 def _concat_same_type(cls, to_concat) -> ArrowStringArray: argument 273 [array for ea in to_concat for array in ea._data.iterchunks()]
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H A D | interval.py | 795 cls: Type[IntervalArrayT], to_concat: Sequence[IntervalArrayT] 808 closed = {interval.closed for interval in to_concat} 813 left = np.concatenate([interval.left for interval in to_concat]) 814 right = np.concatenate([interval.right for interval in to_concat])
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/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/list/ |
H A D | array.py | 115 def _concat_same_type(cls, to_concat): argument 116 data = np.concatenate([x.data for x in to_concat])
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/dports/math/py-numpy/numpy-1.20.3/numpy/core/tests/ |
H A D | test_shape_base.py | 352 to_concat = (array([1.1, 2.2]), array([3.3, 4.4])) 354 if not np.can_cast(to_concat[0], out_dtype, casting=casting): 356 concatenate(to_concat, out=out, axis=axis, casting=casting) 358 concatenate(to_concat, dtype=out.dtype, 361 res_out = concatenate(to_concat, out=out, 363 res_dtype = concatenate(to_concat, dtype=out.dtype, 370 concatenate(to_concat, out=out, dtype=out_dtype, axis=axis)
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/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/arrow/ |
H A D | arrays.py | 154 def _concat_same_type(cls, to_concat): argument 155 chunks = list(itertools.chain.from_iterable(x._data.chunks for x in to_concat))
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/dports/math/yices/yices-2.6.2/src/mcsat/bv/explain/ |
H A D | eq_ext_con.c | 1436 bool explain_term_slice_propagation(const eq_graph_t* eq, slice_t* t_slice, ivector_t* to_concat, i… in explain_term_slice_propagation() argument 1440 ivector_push(to_concat, s); in explain_term_slice_propagation() 1445 … explain_term_slice_propagation(eq, t_slice->hi_sub, to_concat, reasons, reasons_types, tm) && in explain_term_slice_propagation() 1446 explain_term_slice_propagation(eq, t_slice->lo_sub, to_concat, reasons, reasons_types, tm); in explain_term_slice_propagation() 1521 ivector_t to_concat; in explain_propagation() local 1524 init_ivector(&to_concat, 0); in explain_propagation() 1526 …bool ok = explain_term_slice_propagation(&eq_graph, x_term_slice->slice, &to_concat, &reasons, &re… in explain_propagation() 1533 if (to_concat.size > 1) { in explain_propagation() 1534 result_subst = yices_bvconcat(to_concat.size, to_concat.data); in explain_propagation() 1536 result_subst = to_concat.data[0]; in explain_propagation() [all …]
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/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/json/ |
H A D | array.py | 185 def _concat_same_type(cls, to_concat): 186 data = list(itertools.chain.from_iterable(x.data for x in to_concat))
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/dports/math/spot/spot-2.10.2/spot/twaalgos/ |
H A D | ltl2tgba_fm.cc | 528 formula to_concat = nullptr); 534 ratexp_trad_visitor(translate_dict& dict, formula to_concat = nullptr) in ratexp_trad_visitor() argument 535 : dict_(dict), to_concat_(to_concat) in ratexp_trad_visitor() 920 recurse(formula f, formula to_concat = nullptr) in recurse() argument 922 return translate_ratexp(f, dict_, to_concat); in recurse() 938 formula to_concat) in translate_ratexp() argument 943 ratexp_trad_visitor v(dict, to_concat); in translate_ratexp() 950 if (!to_concat) in translate_ratexp() 951 to_concat = formula::eword(); in translate_ratexp() 952 int x = dict.register_next_variable(to_concat); in translate_ratexp()
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/dports/math/py-spot/spot-2.10.2/spot/twaalgos/ |
H A D | ltl2tgba_fm.cc | 528 formula to_concat = nullptr); 534 ratexp_trad_visitor(translate_dict& dict, formula to_concat = nullptr) in ratexp_trad_visitor() argument 535 : dict_(dict), to_concat_(to_concat) in ratexp_trad_visitor() 920 recurse(formula f, formula to_concat = nullptr) in recurse() argument 922 return translate_ratexp(f, dict_, to_concat); in recurse() 938 formula to_concat) in translate_ratexp() argument 943 ratexp_trad_visitor v(dict, to_concat); in translate_ratexp() 950 if (!to_concat) in translate_ratexp() 951 to_concat = formula::eword(); in translate_ratexp() 952 int x = dict.register_next_variable(to_concat); in translate_ratexp()
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/dports/math/py-pandas/pandas-1.2.5/pandas/core/indexes/ |
H A D | category.py | 639 def _concat(self, to_concat: List["Index"], name: Label) -> Index: 642 codes = np.concatenate([self._is_dtype_compat(c).codes for c in to_concat]) 647 res = concat_compat(to_concat)
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H A D | base.py | 4343 to_concat = [self] 4346 to_concat = to_concat + list(other) 4348 to_concat.append(other) 4350 for obj in to_concat: 4354 names = {obj.name for obj in to_concat} 4357 return self._concat(to_concat, name) 4359 def _concat(self, to_concat: List["Index"], name: Label) -> "Index": 4363 to_concat_vals = [x._values for x in to_concat]
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/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/decimal/ |
H A D | array.py | 186 def _concat_same_type(cls, to_concat): argument 187 return cls(np.concatenate([x._data for x in to_concat]))
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/dports/math/py-pandas/pandas-1.2.5/pandas/core/reshape/ |
H A D | concat.py | 643 to_concat = [] 651 to_concat.append(np.repeat(i, len(index))) 652 codes_list.append(np.concatenate(to_concat))
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H A D | melt.py | 218 to_concat = [data[col]._values for col in names] 220 mdata[target] = concat_compat(to_concat)
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/dports/math/py-pandas/pandas-1.2.5/pandas/core/arrays/sparse/ |
H A D | array.py | 950 cls: Type[SparseArrayT], to_concat: Sequence[SparseArrayT] 952 fill_value = to_concat[0].fill_value 957 if to_concat: 958 sp_kind = to_concat[0].kind 965 for arr in to_concat: 986 for arr in to_concat:
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/dports/devel/py-pint-pandas/Pint-Pandas-0.2/pint_pandas/ |
H A D | pint_array.py | 405 def _concat_same_type(cls, to_concat): argument 406 output_units = to_concat[0].units 409 for a in to_concat:
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/dports/editors/texmacs/TeXmacs-1.99.4-src/src/Data/Tree/ |
H A D | tree_correct.cpp | 82 to_concat (tree t) { in to_concat() function 126 return from_concat (to_concat (bef) * to_concat (body) * to_concat (aft)); in migrate_surround()
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/dports/graphics/py-geopandas/geopandas-0.10.2/geopandas/ |
H A D | array.py | 1289 def _concat_same_type(cls, to_concat): argument 1301 data = np.concatenate([ga.data for ga in to_concat]) 1302 return GeometryArray(data, crs=to_concat[0].crs)
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/dports/devel/py-dask/dask-2021.11.2/dask/dataframe/ |
H A D | backends.py | 402 to_concat = (first.values,) + tuple(k._values for k in rest) 403 new_tuples = np.concatenate(to_concat)
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