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/dports/math/py-pandas/pandas-1.2.5/pandas/core/dtypes/
H A Dconcat.py132 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 …]
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/dtypes/
H A Dtest_concat.py45 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)
/dports/math/py-pandas/pandas-1.2.5/pandas/core/internals/
H A Dconcat.py313 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)
/dports/math/py-pandas/pandas-1.2.5/pandas/core/arrays/
H A D_mixins.py177 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)
H A Dmasked.py269 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])
H A Ddatetimelike.py389 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:])
H A Dstring_arrow.py259 def _concat_same_type(cls, to_concat) -> ArrowStringArray: argument
273 [array for ea in to_concat for array in ea._data.iterchunks()]
H A Dinterval.py795 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])
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/list/
H A Darray.py115 def _concat_same_type(cls, to_concat): argument
116 data = np.concatenate([x.data for x in to_concat])
/dports/math/py-numpy/numpy-1.20.3/numpy/core/tests/
H A Dtest_shape_base.py352 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)
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/arrow/
H A Darrays.py154 def _concat_same_type(cls, to_concat): argument
155 chunks = list(itertools.chain.from_iterable(x._data.chunks for x in to_concat))
/dports/math/yices/yices-2.6.2/src/mcsat/bv/explain/
H A Deq_ext_con.c1436 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 …]
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/json/
H A Darray.py185 def _concat_same_type(cls, to_concat):
186 data = list(itertools.chain.from_iterable(x.data for x in to_concat))
/dports/math/spot/spot-2.10.2/spot/twaalgos/
H A Dltl2tgba_fm.cc528 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()
/dports/math/py-spot/spot-2.10.2/spot/twaalgos/
H A Dltl2tgba_fm.cc528 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()
/dports/math/py-pandas/pandas-1.2.5/pandas/core/indexes/
H A Dcategory.py639 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)
H A Dbase.py4343 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]
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/extension/decimal/
H A Darray.py186 def _concat_same_type(cls, to_concat): argument
187 return cls(np.concatenate([x._data for x in to_concat]))
/dports/math/py-pandas/pandas-1.2.5/pandas/core/reshape/
H A Dconcat.py643 to_concat = []
651 to_concat.append(np.repeat(i, len(index)))
652 codes_list.append(np.concatenate(to_concat))
H A Dmelt.py218 to_concat = [data[col]._values for col in names]
220 mdata[target] = concat_compat(to_concat)
/dports/math/py-pandas/pandas-1.2.5/pandas/core/arrays/sparse/
H A Darray.py950 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:
/dports/devel/py-pint-pandas/Pint-Pandas-0.2/pint_pandas/
H A Dpint_array.py405 def _concat_same_type(cls, to_concat): argument
406 output_units = to_concat[0].units
409 for a in to_concat:
/dports/editors/texmacs/TeXmacs-1.99.4-src/src/Data/Tree/
H A Dtree_correct.cpp82 to_concat (tree t) { in to_concat() function
126 return from_concat (to_concat (bef) * to_concat (body) * to_concat (aft)); in migrate_surround()
/dports/graphics/py-geopandas/geopandas-0.10.2/geopandas/
H A Darray.py1289 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)
/dports/devel/py-dask/dask-2021.11.2/dask/dataframe/
H A Dbackends.py402 to_concat = (first.values,) + tuple(k._values for k in rest)
403 new_tuples = np.concatenate(to_concat)

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