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arrow-nightlies / pyarrow python
Repository URL to install this package:
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Version:
22.0.0.dev96 ▾
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pyarrow
/
_acero.cpython-39-darwin.so
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·¨ name pyarrow._acero pyarrow/_acero.pyx <stringsource>
A Source node which accepts a table.
This is the option class for the "table_source" node factory.
Parameters
----------
table : pyarrow.Table
The table which acts as the data source.
_AggregateNodeOptions AggregateNodeOptions AggregateNodeOptions.__init__ _AggregateNodeOptions.__reduce_cython__ _AggregateNodeOptions.__setstate_cython__ _AggregateNodeOptions._set_options _AsofJoinNodeOptions AsofJoinNodeOptions AsofJoinNodeOptions.__init__ _AsofJoinNodeOptions.__reduce_cython__ _AsofJoinNodeOptions.__setstate_cython__ _AsofJoinNodeOptions._set_options Declaration Declaration.__reduce_cython__ Declaration.__setstate_cython__ Declaration.from_sequence Declaration.to_reader Declaration.to_table ExecNodeOptions ExecNodeOptions.__reduce_cython__ ExecNodeOptions.__setstate_cython__ _FilterNodeOptions FilterNodeOptions FilterNodeOptions.__init__ _FilterNodeOptions.__reduce_cython__ _FilterNodeOptions.__setstate_cython__ _FilterNodeOptions._set_options _HashJoinNodeOptions HashJoinNodeOptions HashJoinNodeOptions.__init__ _HashJoinNodeOptions.__reduce_cython__ _HashJoinNodeOptions.__setstate_cython__ _HashJoinNodeOptions._set_options
Make a node which aggregates input batches, optionally grouped by keys.
This is the option class for the "aggregate" node factory.
Acero supports two types of aggregates: "scalar" aggregates,
and "hash" aggregates. Scalar aggregates reduce an array or scalar
input to a single scalar output (e.g. computing the mean of a column).
Hash aggregates act like GROUP BY in SQL and first partition data
based on one or more key columns, then reduce the data in each partition.
The aggregate node supports both types of computation, and can compute
any number of aggregations at once.
Parameters
----------
aggregates : list of tuples
Aggregations which will be applied to the targeted fields.
Specified as a list of tuples, where each tuple is one aggregation
specification and consists of: aggregation target column(s) followed
by function name, aggregation function options object and the
output field name.
The target column(s) specification can be a single field reference,
an empty list or a list of fields unary, nullary and n-ary aggregation
functions respectively. Each field reference can be a string
column name or expression.
keys : list of field references, optional
Keys by which aggregations will be grouped. Each key can reference
a field using a string name or expression.
Make a node which applies a new ordering to the data.
Currently this node works by accumulating all data, sorting, and then
emitting the new data with an updated batch index.
Larger-than-memory sort is not currently supported.
This is the option class for the "order_by" node factory.
Parameters
----------
sort_keys : sequence of (name, order) tuples
Names of field/column keys to sort the input on,
along with the order each field/column is sorted in.
Accepted values for `order` are "ascending", "descending".
Each field reference can be a string column name or expression.
null_placement : str, default "at_end"
Where nulls in input should be sorted, only applying to
columns/fields mentioned in `sort_keys`.
Accepted values are "at_start", "at_end".
Make a node which excludes some rows from batches passed through it.
This is the option class for the "filter" node factory.
The "filter" operation provides an option to define data filtering
criteria. It selects rows where the given expression evaluates to true.
Filters can be written using pyarrow.compute.Expression, and the
expression must have a return type of boolean.
Parameters
----------
filter_expression : pyarrow.compute.Expression
Make a node which executes expressions on input batches,
producing batches of the same length with new columns.
This is the option class for the "project" node factory.
The "project" operation rearranges, deletes, transforms, and
creates columns. Each output column is computed by evaluating
an expression against the source record batch. These must be
scalar expressions (expressions consisting of scalar literals,
field references and scalar functions, i.e. elementwise functions
that return one value for each input row independent of the value
of all other rows).
Parameters
----------
expressions : list of pyarrow.compute.Expression
List of expressions to evaluate against the source batch. This must
be scalar expressions.
names : list of str, optional
List of names for each of the output columns (same length as
`expressions`). If `names` is not provided, the string
representations of exprs will be used.
Make a node which implements 'as of join' operation.
This is the option class for the "asofjoin" node factory.
Parameters
----------
left_on : str, Expression
The left key on which the join operation should be performed.
Can be a string column name or a field expression.
An inexact match is used on the "on" key, i.e. a row is considered a
match if and only if ``right.on - left.on`` is in the range
``[min(0, tolerance), max(0, tolerance)]``.
The input dataset must be sorted by the "on" key. Must be a single
field of a common type.
Currently, the "on" key must be an integer, date, or timestamp type.
left_by: str, Expression or list
The left keys on which the join operation should be performed.
Exact equality is used for each field of the "by" keys.
Each key can be a string column name or a field expression,
or a list of such field references.
right_on : str, Expression
The right key on which the join operation should be performed.
See `left_on` for details.
right_by: str, Expression or list
The right keys on which the join operation should be performed.
See `left_by` for details.
tolerance : int
The tolerance to use for the asof join. The tolerance is interpreted in
the same units as the "on" key.
Make a node which implements join operation using hash join strategy.
This is the option class for the "hashjoin" node factory.
Parameters
----------
join_type : str
Type of join. One of "left semi", "right semi", "left anti",
"right anti", "inner", "left outer", "right outer", "full outer".
left_keys : str, Expression or list
Key fields from left input. Each key can be a string column name
or a field expression, or a list of such field references.
right_keys : str, Expression or list
Key fields from right input. See `left_keys` for details.
left_output : list, optional
List of output fields passed from left input. If left and right
output fields are not specified, all valid fields from both left and
right input will be output. Each field can be a string column name
or a field expression.
right_output : list, optional
List of output fields passed from right input. If left and right
output fields are not specified, all valid fields from both left and
right input will be output. Each field can be a string column name
or a field expression.
output_suffix_for_left : str
Suffix added to names of output fields coming from left input
(used to distinguish, if necessary, between fields of the same
name in left and right input and can be left empty if there are
no name collisions).
output_suffix_for_right : str
Suffix added to names of output fields coming from right input,
see `output_suffix_for_left` for details.
filter_expression : pyarrow.compute.Expression
Residual filter which is applied to matching row.
Note that Cython is deliberately stricter than PEP-484 and rejects subclasses of builtin types. If you need to pass subclasses then set the 'annotation_typing' directive to False. _OrderByNodeOptions OrderByNodeOptions OrderByNodeOptions.__init__ _OrderByNodeOptions.__reduce_cython__ _OrderByNodeOptions.__setstate_cython__ _OrderByNodeOptions._set_options _ProjectNodeOptions ProjectNodeOptions ProjectNodeOptions.__init__ _ProjectNodeOptions.__reduce_cython__ _ProjectNodeOptions.__setstate_cython__ _ProjectNodeOptions._set_options _TableSourceNodeOptions TableSourceNodeOptions TableSourceNodeOptions.__init__ _TableSourceNodeOptions.__reduce_cython__ _TableSourceNodeOptions.__setstate_cython__ _TableSourceNodeOptions._set_options The number of names should be equal to the number of expressions TypeError Unsupported join type ValueError . ? add_note aggregates arg arg_names asyncio.coroutines at_end c_aggr c_aggregations c_decl c_decls c_expressions c_filter_expression c_input_keys c_join_type c_keys c_left_by c_left_keys c_left_output c_names c_right_by c_right_keys c_right_output c_table cline_in_traceback colname decl decls disable enable expr expressions factory_name frombytes full outer __func__ gc __getstate__ inner inputs isenabled join_type key keys left anti left_by left_keys left_on left outer left_output left semi __main__ __metaclass__ __mro_entries__ names null_placement opts output_suffix_for_left output_suffix_for_right pop __prepare__ <pyarrow.acero.Declaration>
__pyx_state __pyx_vtable__ reader __reduce_ex__ right anti right_by right_keys right_on right outer right_output right semi self self.decl cannot be converted to a Python object for pickling self.wrapped cannot be converted to a Python object for pickling __set_name__ __setstate__ __slots__ sort_keys staticmethod __test__ tobytes tolerance use_threads __module__ __reduce__ __doc__ func_name __name__ __qualname__ __dict__ _is_coroutine pyarrow.lib __reduce_cython__ ExecNodeOptions.__reduce_cython__(self) __setstate_cython__ ExecNodeOptions.__setstate_cython__(self, __pyx_state) from_sequence Declaration.from_sequence(decls)
Convenience factory for the common case of a simple sequence of nodes.
Each of the declarations will be appended to the inputs of the
subsequent declaration, and the final modified declaration will
be returned.
Parameters
----------
decls : list of Declaration
Returns
-------
Declaration to_table Declaration.to_table(self, bool use_threads=True)
Run the declaration and collect the results into a table.
This method will implicitly add a sink node to the declaration
to collect results into a table. It will then create an ExecPlan
from the declaration, start the exec plan, block until the plan
has finished, and return the created table.
Parameters
----------
use_threads : bool, default True
If set to False, then all CPU work will be done on the calling
thread. I/O tasks will still happen on the I/O executor
and may be multi-threaded (but should not use significant CPU
resources).
Returns
-------
pyarrow.Table to_reader Declaration.to_reader(self, bool use_threads=True)
Run the declaration and return results as a RecordBatchReader.
For details about the parameters, see `to_table`.
Returns
-------
pyarrow.RecordBatchReader Declaration.__reduce_cython__(self) Declaration.__setstate_cython__(self, __pyx_state) NSt3__120__shared_ptr_pointerIPN5arrow17RecordBatchReaderENS_10shared_ptrIS2_E27__shared_ptr_default_deleteIS2_S2_EENS_9allocatorIS2_EEEE NSt3__110shared_ptrIN5arrow17RecordBatchReaderEE27__shared_ptr_default_deleteIS2_S2_EE __init__ options _set_options _TableSourceNodeOptions._set_options(self, Table table) _TableSourceNodeOptions.__reduce_cython__(self) _TableSourceNodeOptions.__setstate_cython__(self, __pyx_state) table NSt3__120__shared_ptr_pointerIPN5arrow5acero22TableSourceNodeOptionsENS_10shared_ptrINS2_15ExecNodeOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow5acero15ExecNodeOptionsEE27__shared_ptr_default_deleteIS3_NS2_22TableSourceNodeOptionsEEE N5arrow5acero22TableSourceNodeOptionsE N5arrow5acero15ExecNodeOptionsE _FilterNodeOptions._set_options(self, Expression filter_expression) _FilterNodeOptions.__reduce_cython__(self) _FilterNodeOptions.__setstate_cython__(self, __pyx_state) filter_expression NSt3__120__shared_ptr_pointerIPN5arrow5acero17FilterNodeOptionsENS_10shared_ptrINS2_15ExecNodeOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow5acero15ExecNodeOptionsEE27__shared_ptr_default_deleteIS3_NS2_17FilterNodeOptionsEEE N5arrow5acero17FilterNodeOptionsE _ProjectNodeOptions._set_options(self, expressions, names=None) _ProjectNodeOptions.__reduce_cython__(self) _ProjectNodeOptions.__setstate_cython__(self, __pyx_state) NSt3__120__shared_ptr_pointerIPN5arrow5acero18ProjectNodeOptionsENS_10shared_ptrINS2_15ExecNodeOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow5acero15ExecNodeOptionsEE27__shared_ptr_default_deleteIS3_NS2_18ProjectNodeOptionsEEE N5arrow5acero18ProjectNodeOptionsE _AggregateNodeOptions._set_options(self, aggregates, keys=None) _AggregateNodeOptions.__reduce_cython__(self) _AggregateNodeOptions.__setstate_cython__(self, __pyx_state) NSt3__120__shared_ptr_pointerIPN5arrow5acero20AggregateNodeOptionsENS_10shared_ptrINS2_15ExecNodeOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow5acero15ExecNodeOptionsEE27__shared_ptr_default_deleteIS3_NS2_20AggregateNodeOptionsEEE N5arrow5acero20AggregateNodeOptionsE _OrderByNodeOptions._set_options(self, sort_keys, null_placement) _OrderByNodeOptions.__reduce_cython__(self) _OrderByNodeOptions.__setstate_cython__(self, __pyx_state) NSt3__120__shared_ptr_pointerIPN5arrow5acero18OrderByNodeOptionsENS_10shared_ptrINS2_15ExecNodeOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow5acero15ExecNodeOptionsEE27__shared_ptr_default_deleteIS3_NS2_18OrderByNodeOptionsEEE N5arrow5acero18OrderByNodeOptionsE _HashJoinNodeOptions._set_options(self, join_type, left_keys, right_keys, left_output=None, right_output=None, output_suffix_for_left='', output_suffix_for_right='', Expression filter_expression=None) _HashJoinNodeOptions.__reduce_cython__(self) _HashJoinNodeOptions.__setstate_cython__(self, __pyx_state) NSt3__120__shared_ptr_pointerIPN5arrow5acero19HashJoinNodeOptionsENS_10shared_ptrINS2_15ExecNodeOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow5acero15ExecNodeOptionsEE27__shared_ptr_default_deleteIS3_NS2_19HashJoinNodeOptionsEEE N5arrow5acero19HashJoinNodeOptionsE _AsofJoinNodeOptions._set_options(self, left_on, left_by, right_on, right_by, tolerance) _AsofJoinNodeOptions.__reduce_cython__(self) _AsofJoinNodeOptions.__setstate_cython__(self, __pyx_state) NSt3__120__shared_ptr_pointerIPN5arrow5acero19AsofJoinNodeOptionsENS_10shared_ptrINS2_15ExecNodeOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow5acero15ExecNodeOptionsEE27__shared_ptr_default_deleteIS3_NS2_19AsofJoinNodeOptionsEEE N5arrow5acero19AsofJoinNodeOptionsE TableSourceNodeOptions.__init__(self, Table table) FilterNodeOptions.__init__(self, Expression filter_expression) ProjectNodeOptions.__init__(self, expressions, names=None) AggregateNodeOptions.__init__(self, aggregates, keys=None) OrderByNodeOptions.__init__(self, sort_keys=(), *, null_placement='at_end') HashJoinNodeOptions.__init__(self, join_type, left_keys, right_keys, left_output=None, right_output=None, output_suffix_for_left='', output_suffix_for_right='', filter_expression=None) AsofJoinNodeOptions.__init__(self, left_on, left_by, right_on, right_by, tolerance) _acero loader __loader__ origin __file__ parent __package__ submodule_search_locations __path__ Interpreter change detected - this module can only be loaded into one interpreter per process. Module '_acero' has already been imported. Re-initialisation is not supported. builtins cython_runtime __builtins__ __orig_bases__ init pyarrow._acero compile time Python version %d.%d of module '%.100s' %s runtime version %d.%d does not match _cython_3_1_3amsendbackport Shared Cython type %.200s is not a type object Shared Cython type %.200s has the wrong size, try recompiling _cython_3_1_3amsendbackport._common_types_metatype _cython_3_1_3amsendbackport.cython_function_or_method <cyfunction %U at %p> unbound method %.200S() needs an argument keywords must be strings takes no arguments takes exactly one argument Bad call flags for CyFunction takes no keyword arguments %.200s() %s (%zd given) %.200s() %s __dictoffset__ __vectorcalloffset__ __weaklistoffset__ func_doc func_dict func_globals __globals__ func_closure __closure__ func_code __code__ func_defaults __defaults__ __kwdefaults__ __annotations__ __name__ must be set to a string object __qualname__ must be set to a string object function's dictionary may not be deleted setting function's dictionary to a non-dict __defaults__ must be set to a tuple object changes to cyfunction.__defaults__ will not currently affect the values used in function calls __kwdefaults__ must be set to a dict object changes to cyfunction.__kwdefaults__ will not currently affect the values used in function calls __annotations__ must be set to a dict object name '%U' is not defined _Weakrefable %.200s.%.200s is not a type object %.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject pyarrow._acero.ExecNodeOptions
Base class for the node options.
Use one of the subclasses to construct an options object.
at least at most exactly %.200s() takes %.8s %zd positional argument%.1s (%zd given) s %s() got an unexpected keyword argument '%U' pyarrow._acero.ExecNodeOptions.__reduce_cython__ instance exception may not have a separate value calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException pyarrow._acero.ExecNodeOptions.__setstate_cython__ %s() got multiple values for keyword argument '%U' %.200s() keywords must be strings base class '%.200s' is not a heap type extension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base type multiple bases have vtable conflict: '%.200s' and '%.200s' invalid vtable found for imported type Unable to initialize pickling for %.200s vector pyarrow._acero.Declaration.wrap pyarrow._acero.Declaration Declaration(factory_name, ExecNodeOptions options, inputs=None)
Helper class for declaring the nodes of an ExecPlan.
A Declaration represents an unconstructed ExecNode, and potentially
more since its inputs may also be Declarations or when constructed
with ``from_sequence``.
The possible ExecNodes to use are registered with a name,
the "factory name", and need to be specified using this name, together
with its corresponding ExecNodeOptions subclass.
Parameters
----------
factory_name : str
The ExecNode factory name, such as "table_source", "filter",
"project" etc. See the ExecNodeOptions subclasses for the exact
factory names to use.
options : ExecNodeOptions
Corresponding ExecNodeOptions subclass (matching the factory name).
inputs : list of Declaration, optional
Input nodes for this declaration. Optional if the node is a source
node, or when the declaration gets combined later with
``from_sequence``.
Returns
-------
Declaration pyarrow._acero.Declaration.__repr__ pyarrow._acero.Declaration.__str__ string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_string pyarrow._acero.Declaration.from_sequence Unknown exception pyarrow._acero.Declaration.to_table pyarrow._acero.Declaration.to_reader Missing type object Cannot convert %.200s to %.200s pyarrow._acero.Declaration.__reduce_cython__ pyarrow._acero.Declaration.__setstate_cython__ pyarrow._acero.Declaration.__init__ Argument '%.200s' has incorrect type (expected %.200s, got %.200s)%s%U string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_string basic_string pyarrow._acero._TableSourceNodeOptions pyarrow._acero._TableSourceNodeOptions._set_options pyarrow._acero._TableSourceNodeOptions.__reduce_cython__ pyarrow._acero._TableSourceNodeOptions.__setstate_cython__ pyarrow._acero._FilterNodeOptions pyarrow._acero._FilterNodeOptions._set_options pyarrow._acero._FilterNodeOptions.__reduce_cython__ pyarrow._acero._FilterNodeOptions.__setstate_cython__ pyarrow._acero._ProjectNodeOptions pyarrow._acero._ProjectNodeOptions._set_options pyarrow._acero._ProjectNodeOptions.__reduce_cython__ pyarrow._acero._ProjectNodeOptions.__setstate_cython__ pyarrow._acero._AggregateNodeOptions pyarrow._acero._AggregateNodeOptions._set_options too many values to unpack (expected %zd) need more than %zd value%.1s to unpack pyarrow._acero._AggregateNodeOptions.__reduce_cython__ pyarrow._acero._AggregateNodeOptions.__setstate_cython__ pyarrow._acero._OrderByNodeOptions pyarrow._acero._OrderByNodeOptions._set_options pyarrow._acero._OrderByNodeOptions.__reduce_cython__ pyarrow._acero._OrderByNodeOptions.__setstate_cython__ pyarrow._acero._HashJoinNodeOptions pyarrow._acero._HashJoinNodeOptions._set_options pyarrow._acero._HashJoinNodeOptions.__reduce_cython__ pyarrow._acero._HashJoinNodeOptions.__setstate_cython__ pyarrow._acero._AsofJoinNodeOptions pyarrow._acero._AsofJoinNodeOptions._set_options an integer is required __int__ returned non-int (type %.200s). The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python. __int__ returned non-int (type %.200s) pyarrow._acero._AsofJoinNodeOptions.__reduce_cython__ pyarrow._acero._AsofJoinNodeOptions.__setstate_cython__ type bool complex datetime date time timedelta tzinfo IpcWriteOptions IpcReadOptions Message MemoryPool DataType ListType LargeListType ListViewType LargeListViewType MapType FixedSizeListType StructType DictionaryMemo DictionaryType TimestampType Time32Type Time64Type DurationType FixedSizeBinaryType Decimal32Type Decimal64Type Decimal128Type Decimal256Type RunEndEncodedType BaseExtensionType ExtensionType FixedShapeTensorType Bool8Type OpaqueType UuidType JsonType _Metadata KeyValueMetadata Field Schema Scalar ArrayStatistics _PandasConvertible Array Tensor SparseCSRMatrix SparseCSCMatrix SparseCOOTensor SparseCSFTensor NullArray BooleanArray NumericArray IntegerArray FloatingPointArray Int8Array UInt8Array Int16Array UInt16Array Int32Array UInt32Array Int64Array UInt64Array HalfFloatArray FloatArray DoubleArray FixedSizeBinaryArray Decimal32Array Decimal64Array Decimal128Array Decimal256Array StructArray BaseListArray ListArray LargeListArray ListViewArray LargeListViewArray MapArray FixedSizeListArray UnionArray StringArray BinaryArray StringViewArray BinaryViewArray DictionaryArray ExtensionArray MonthDayNanoIntervalArray ChunkedArray _Tabular Table RecordBatch Device MemoryManager Buffer ResizableBuffer NativeFile BufferedInputStream BufferedOutputStream CompressedInputStream CompressedOutputStream _CRecordBatchWriter RecordBatchReader CacheOptions Codec StopToken pyarrow._compute UdfContext FunctionOptions _SortOptions Expression _true arrow::compute::Expression __pyx_capi__ %.200s does not export expected C variable %.200s C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s) pyarrow_wrap_table PyObject *(std::shared_ptr< arrow::Table> const &) pyarrow_unwrap_table std::shared_ptr< arrow::Table> (PyObject *) _ensure_field_ref arrow::FieldRef (PyObject *) unwrap_sort_keys std::vector< arrow::compute::SortKey> (PyObject *, struct __pyx_opt_args_7pyarrow_8_compute_unwrap_sort_keys *__pyx_optional_args) unwrap_null_placement arrow::compute::NullPlacement (PyObject *) %.200s does not export expected C function %.200s C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s) cannot import name %S needs an argument __mro_entries__ must return a tuple metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases pyarrow._acero.TableSourceNodeOptions.__init__ pyarrow._acero.FilterNodeOptions.__init__ pyarrow._acero.ProjectNodeOptions.__init__ pyarrow._acero.AggregateNodeOptions.__init__ pyarrow._acero.OrderByNodeOptions.__init__ pyarrow._acero.HashJoinNodeOptions.__init__ pyarrow._acero.AsofJoinNodeOptions.__init__ while calling a Python object NULL result without error in PyObject_Call H L ÑXQ ÑX! aaQ! 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