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arrow-nightlies / pyarrow python
Repository URL to install this package:
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Version:
18.0.0.dev17 ▾
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pyarrow
/
_acero.cpython-38-aarch64-linux-gnu.so
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ùçÿÿ÷ ùӂÿ Õ Õ_$ÕP òB9p 4 à¸À_Öð * ü_ 1ü¯ÿÿ5À_Öý{¿©ý ý{hÀ_Öat least at most exactly %.200s() takes %.8s %zd positional argument%.1s (%zd given) %.200s() needs an argument %.200s() takes no keyword arguments %.200s() takes exactly one argument (%zd given) Unknown exception metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases %.200s() takes no arguments (%zd given) Bad call flags for CyFunction <cyfunction %U at %p> __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 __%.4s__ returned non-%.4s (type %.200s) an integer is required cannot import name %S __pyx_capi__ %.200s does not export expected C function %.200s C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s) Interpreter change detected - this module can only be loaded into one interpreter per process. name __loader__ loader __file__ origin __package__ parent __path__ submodule_search_locations keywords must be strings unbound method %.200S() needs an argument %.200s.%.200s is not a type object %.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject %s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject while calling a Python object NULL result without error in PyObject_Call __reduce_cython__ %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' invalid vtable found for imported type builtins type bool complex datetime date time timedelta tzinfo pyarrow.lib IpcWriteOptions IpcReadOptions Message MemoryPool DataType ListType LargeListType ListViewType LargeListViewType MapType FixedSizeListType StructType DictionaryMemo DictionaryType TimestampType Time32Type Time64Type DurationType FixedSizeBinaryType Decimal128Type Decimal256Type RunEndEncodedType BaseExtensionType ExtensionType FixedShapeTensorType PyExtensionType _Metadata KeyValueMetadata Field Schema Scalar _PandasConvertible Tensor SparseCSRMatrix SparseCSCMatrix SparseCOOTensor SparseCSFTensor NullArray BooleanArray NumericArray IntegerArray FloatingPointArray Int8Array UInt8Array Int16Array UInt16Array Int32Array UInt32Array Int64Array UInt64Array HalfFloatArray FloatArray DoubleArray FixedSizeBinaryArray 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 multiple bases have vtable conflict: '%.200s' and '%.200s' Missing type object Argument '%.200s' has incorrect type (expected %.200s, got %.200s) Unable to initialize pickling for %.200s __annotations__ must be set to a dict object __qualname__ must be set to a string object __name__ must be set to a string object __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 function's dictionary may not be deleted setting function's dictionary to a non-dict 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 '%.200s' object has no attribute '%U' 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 __mro_entries__ must return a tuple name '%U' is not defined %s() got multiple values for keyword argument '%U' <stringsource> pyarrow._acero.ExecNodeOptions.__reduce_cython__ pyarrow._acero._TableSourceNodeOptions.__reduce_cython__ pyarrow._acero._FilterNodeOptions.__reduce_cython__ pyarrow._acero._ProjectNodeOptions.__reduce_cython__ pyarrow._acero._AggregateNodeOptions.__reduce_cython__ pyarrow._acero._OrderByNodeOptions.__reduce_cython__ pyarrow._acero._HashJoinNodeOptions.__reduce_cython__ pyarrow._acero._AsofJoinNodeOptions.__reduce_cython__ pyarrow._acero.Declaration.__reduce_cython__ string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_string pyarrow/_acero.pyx pyarrow._acero.Declaration.wrap pyarrow._acero.Declaration.__repr__ pyarrow._acero.Declaration.__setstate_cython__ __setstate_cython__ pyarrow._acero.ExecNodeOptions.__setstate_cython__ pyarrow._acero._AsofJoinNodeOptions.__setstate_cython__ pyarrow._acero._AggregateNodeOptions.__setstate_cython__ pyarrow._acero._TableSourceNodeOptions.__setstate_cython__ pyarrow._acero._HashJoinNodeOptions.__setstate_cython__ __init__ pyarrow._acero.TableSourceNodeOptions.__init__ table pyarrow._acero.AggregateNodeOptions.__init__ Module '_acero' has already been imported. Re-initialisation is not supported. cython_runtime __builtins__ does not match pyarrow._acero compile time Python version %d.%d of module '%.100s' %s runtime version %d.%d _cython_3_0_10 Shared Cython type %.200s is not a type object Shared Cython type %.200s has the wrong size, try recompiling _Weakrefable _true %.200s does not export expected C variable %.200s arrow::compute::Expression C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s) PyObject *(std::shared_ptr< arrow::Table> const &) pyarrow_wrap_table std::shared_ptr< arrow::Table> (PyObject *) pyarrow_unwrap_table arrow::FieldRef (PyObject *) _ensure_field_ref arrow::compute::SortOrder (PyObject *) unwrap_sort_order arrow::compute::NullPlacement (PyObject *) unwrap_null_placement __orig_bases__ init pyarrow._acero pyarrow._acero._FilterNodeOptions.__setstate_cython__ pyarrow._acero.HashJoinNodeOptions.__init__ pyarrow._acero.FilterNodeOptions.__init__ filter_expression pyarrow._acero._OrderByNodeOptions.__setstate_cython__ pyarrow._acero.AsofJoinNodeOptions.__init__ pyarrow._acero._ProjectNodeOptions.__setstate_cython__ pyarrow._acero.OrderByNodeOptions.__init__ pyarrow._acero.ProjectNodeOptions.__init__ _set_options pyarrow._acero._FilterNodeOptions._set_options pyarrow._acero._TableSourceNodeOptions._set_options string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_string pyarrow._acero.Declaration.__str__ Cannot convert %.200s to %.200s pyarrow._acero._ProjectNodeOptions._set_options too many values to unpack (expected %zd) need more than %zd value%.1s to unpack pyarrow._acero._OrderByNodeOptions._set_options pyarrow._acero._HashJoinNodeOptions._set_options pyarrow._acero._AggregateNodeOptions._set_options pyarrow._acero.Declaration.from_sequence from_sequence pyarrow._acero.Declaration.__init__ pyarrow._acero.Declaration.to_table to_table pyarrow._acero.Declaration.to_reader to_reader pyarrow._acero._AsofJoinNodeOptions._set_options _cython_3_0_10.cython_function_or_method __reduce__ __module__ func_doc __doc__ func_name __name__ __qualname__ func_dict __dict__ func_globals __globals__ func_closure __closure__ func_code __code__ func_defaults __defaults__ __kwdefaults__ __annotations__ _is_coroutine pyarrow._acero._AsofJoinNodeOptions pyarrow._acero._HashJoinNodeOptions pyarrow._acero._OrderByNodeOptions pyarrow._acero._AggregateNodeOptions pyarrow._acero._ProjectNodeOptions pyarrow._acero._FilterNodeOptions pyarrow._acero._TableSourceNodeOptions 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
__repr__ pyarrow._acero.ExecNodeOptions
Base class for the node options.
Use one of the subclasses to construct an options object.
#.9DOZep
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 left_on - tolerance <= right_on <= left_on.
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.
_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 RuntimeError _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 Time zones are not available from the C-API. TypeError Unsupported join type ValueError . ? aggregates arg arg_names asyncio.coroutines at_end c_aggr c_aggregations c_decl c_decls c_expressions 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_sort_keys c_table cline_in_traceback colname decl decls __dict__ disable __doc__ enable expr expressions factory_name filter_expression format from_sequence frombytes full outer func_name gc __getstate__ __import__ __init__ __init_subclass__ inner inputs _is_coroutine isenabled join_type key keys left anti left_by left_keys left_on left outer left_output left semi __main__ __metaclass__ __module__ __mro_entries__ __name__ name names null_placement options opts order output_suffix_for_left output_suffix_for_right __prepare__ pyarrow._acero pyarrow/_acero.pyx <pyarrow.acero.Declaration>
{0} pyarrow.lib __pyx_state __pyx_vtable__ __qualname__ reader __reduce__ __reduce_cython__ __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__ _set_options __setstate__ __setstate_cython__ __slots__ sort_keys staticmethod <stringsource> super table __test__ to_reader to_table tobytes tolerance use_threads Declaration.__setstate_cython__(self, __pyx_state) Declaration.__reduce_cython__(self) 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.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
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
AsofJoinNodeOptions.__init__(self, left_on, left_by, right_on, right_by, tolerance) _AsofJoinNodeOptions.__setstate_cython__(self, __pyx_state) _AsofJoinNodeOptions.__reduce_cython__(self) _AsofJoinNodeOptions._set_options(self, left_on, left_by, right_on, right_by, tolerance) HashJoinNodeOptions.__init__(self, join_type, left_keys, right_keys, left_output=None, right_output=None, output_suffix_for_left=u'', output_suffix_for_right=u'') _HashJoinNodeOptions.__setstate_cython__(self, __pyx_state) _HashJoinNodeOptions.__reduce_cython__(self) _HashJoinNodeOptions._set_options(self, join_type, left_keys, right_keys, left_output=None, right_output=None, output_suffix_for_left=u'', output_suffix_for_right=u'') OrderByNodeOptions.__init__(self, sort_keys=(), *, null_placement=u'at_end') _OrderByNodeOptions.__setstate_cython__(self, __pyx_state) _OrderByNodeOptions.__reduce_cython__(self) _OrderByNodeOptions._set_options(self, sort_keys, null_placement) AggregateNodeOptions.__init__(self, aggregates, keys=None) _AggregateNodeOptions.__setstate_cython__(self, __pyx_state) _AggregateNodeOptions.__reduce_cython__(self) _AggregateNodeOptions._set_options(self, aggregates, keys=None) ProjectNodeOptions.__init__(self, expressions, names=None) _ProjectNodeOptions.__setstate_cython__(self, __pyx_state) _ProjectNodeOptions.__reduce_cython__(self) _ProjectNodeOptions._set_options(self, expressions, names=None) FilterNodeOptions.__init__(self, Expression filter_expression) _FilterNodeOptions.__setstate_cython__(self, __pyx_state) _FilterNodeOptions.__reduce_cython__(self) _FilterNodeOptions._set_options(self, Expression filter_expression) TableSourceNodeOptions.__init__(self, Table table) _TableSourceNodeOptions.__setstate_cython__(self, __pyx_state) _TableSourceNodeOptions.__reduce_cython__(self) _TableSourceNodeOptions._set_options(self, Table table) ExecNodeOptions.__setstate_cython__(self, __pyx_state) ExecNodeOptions.__reduce_cython__(self) vector::_M_realloc_insert vector::_M_default_append St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE St16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE N5arrow5acero15ExecNodeOptionsE N5arrow5acero22TableSourceNodeOptionsE N5arrow5acero17FilterNodeOptionsE N5arrow5acero18ProjectNodeOptionsE N5arrow5acero20AggregateNodeOptionsE N5arrow5acero18OrderByNodeOptionsE N5arrow5acero19HashJoinNodeOptionsE N5arrow5acero19AsofJoinNodeOptionsE St15_Sp_counted_ptrIPN5arrow5acero22TableSourceNodeOptionsELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN5arrow5acero17FilterNodeOptionsELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN5arrow5acero18ProjectNodeOptionsELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN5arrow5acero20AggregateNodeOptionsELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN5arrow5acero18OrderByNodeOptionsELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN5arrow5acero19HashJoinNodeOptionsELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN5arrow5acero19AsofJoinNodeOptionsELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN5arrow17RecordBatchReaderELN9__gnu_cxx12_Lock_policyE2EE @ ;Ì ø 0§ýÿÌ ԩýÿP
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