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arrow-nightlies / pyarrow python
Repository URL to install this package:
|
Version:
22.0.0.dev96 ▾
|
pyarrow
/
_acero.cpython-313-x86_64-linux-musl.so
|
|---|
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Lÿ踾ýÿès¹ýÿHku°hH}ÀèE¸ýÿëëHÃèÀýÿHßèCÂýÿPXà at least at most exactly Unknown exception _cython_3_1_3 <cyfunction %U at %p> cannot import name %S an integer is required __pyx_capi__ __loader__ loader __file__ origin __package__ parent __path__ submodule_search_locations name '%U' is not defined Bad call flags for CyFunction __reduce_cython__ builtins type bool complex datetime date timedelta tzinfo pyarrow.lib IpcWriteOptions IpcReadOptions Message MemoryPool DataType LargeListType LargeListViewType MapType FixedSizeListType StructType DictionaryMemo DictionaryType TimestampType Time32Type Time64Type DurationType FixedSizeBinaryType Decimal32Type Decimal64Type Decimal128Type Decimal256Type RunEndEncodedType BaseExtensionType FixedShapeTensorType Bool8Type OpaqueType UuidType JsonType _Metadata KeyValueMetadata Field Schema Scalar ArrayStatistics _PandasConvertible SparseCSRMatrix SparseCSCMatrix SparseCOOTensor SparseCSFTensor NullArray BooleanArray NumericArray IntegerArray FloatingPointArray UInt8Array UInt16Array UInt32Array UInt64Array HalfFloatArray DoubleArray FixedSizeBinaryArray Decimal32Array Decimal64Array Decimal128Array Decimal256Array StructArray BaseListArray LargeListArray LargeListViewArray MapArray FixedSizeListArray UnionArray StringArray StringViewArray BinaryViewArray DictionaryArray ExtensionArray MonthDayNanoIntervalArray ChunkedArray _Tabular Table RecordBatch Device MemoryManager ResizableBuffer NativeFile BufferedInputStream BufferedOutputStream CompressedInputStream CompressedOutputStream _CRecordBatchWriter RecordBatchReader CacheOptions Codec StopToken pyarrow._compute UdfContext FunctionOptions _SortOptions needs an argument %.200s() %s takes no keyword arguments takes no arguments %.200s() %s (%zd given) takes exactly one argument keywords must be strings Missing type object <stringsource> pyarrow/_acero.pyx __setstate_cython__ __init__ filter_expression cython_runtime __builtins__ does not match _Weakrefable _true arrow::compute::Expression pyarrow_wrap_table pyarrow_unwrap_table arrow::FieldRef (PyObject *) _ensure_field_ref unwrap_sort_keys unwrap_null_placement __orig_bases__ init pyarrow._acero _set_options from_sequence to_table to_reader __reduce__ __module__ __dictoffset__ __vectorcalloffset__ __weaklistoffset__ 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.Declaration vector::_M_default_append vector::_M_realloc_insert %.200s() takes %.8s %zd positional argument%.1s (%zd given) Shared Cython type %.200s is not a type object Shared Cython type %.200s has the wrong size, try recompiling metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases __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) %.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. 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 %.200s.%.200s is not a type object %.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject %.200s() keywords must be strings %s() got multiple values for keyword argument '%U' %s() got an unexpected keyword argument '%U' invalid vtable found for imported type multiple bases have vtable conflict: '%.200s' and '%.200s' while calling a Python object NULL result without error in PyObject_Call __mro_entries__ must return a tuple unbound method %.200S() needs an argument __annotations__ must be set to a dict object __name__ must be set to a string object __qualname__ 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 raise: exception class must be a subclass of BaseException calling %R should have returned an instance of BaseException, not %R Argument '%.200s' has incorrect type (expected %.200s, got %.200s) string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_string pyarrow._acero.Declaration.wrap pyarrow._acero.Declaration.__repr__ pyarrow._acero.Declaration.__setstate_cython__ pyarrow._acero.Declaration.__reduce_cython__ pyarrow._acero.AsofJoinNodeOptions.__init__ pyarrow._acero._AsofJoinNodeOptions.__setstate_cython__ pyarrow._acero._AsofJoinNodeOptions.__reduce_cython__ pyarrow._acero.HashJoinNodeOptions.__init__ pyarrow._acero._HashJoinNodeOptions.__setstate_cython__ pyarrow._acero._HashJoinNodeOptions.__reduce_cython__ pyarrow._acero._OrderByNodeOptions.__setstate_cython__ pyarrow._acero._OrderByNodeOptions.__reduce_cython__ pyarrow._acero._AggregateNodeOptions.__setstate_cython__ pyarrow._acero._AggregateNodeOptions.__reduce_cython__ pyarrow._acero._ProjectNodeOptions.__setstate_cython__ pyarrow._acero._ProjectNodeOptions.__reduce_cython__ pyarrow._acero.FilterNodeOptions.__init__ pyarrow._acero._FilterNodeOptions.__setstate_cython__ pyarrow._acero._FilterNodeOptions.__reduce_cython__ pyarrow._acero.TableSourceNodeOptions.__init__ pyarrow._acero._TableSourceNodeOptions.__setstate_cython__ pyarrow._acero._TableSourceNodeOptions.__reduce_cython__ pyarrow._acero.ExecNodeOptions.__setstate_cython__ pyarrow._acero.ExecNodeOptions.__reduce_cython__ pyarrow._acero.AggregateNodeOptions.__init__ pyarrow._acero.ProjectNodeOptions.__init__ pyarrow._acero.OrderByNodeOptions.__init__ Unable to initialize pickling for %.200s Module '_acero' has already been imported. Re-initialisation is not supported. compile time Python version %d.%d of module '%.100s' %s runtime version %d.%d %.200s does not export expected C variable %.200s C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s) PyObject *(std::shared_ptr< arrow::Table> const &) std::shared_ptr< arrow::Table> (PyObject *) std::vector< arrow::compute::SortKey> (PyObject *, struct __pyx_opt_args_7pyarrow_8_compute_unwrap_sort_keys *__pyx_optional_args) arrow::compute::NullPlacement (PyObject *) pyarrow._acero._TableSourceNodeOptions._set_options pyarrow._acero._FilterNodeOptions._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 pyarrow._acero._OrderByNodeOptions._set_options pyarrow._acero._HashJoinNodeOptions._set_options pyarrow._acero._AsofJoinNodeOptions._set_options too many values to unpack (expected %zd) need more than %zd value%.1s to unpack pyarrow._acero._AggregateNodeOptions._set_options pyarrow._acero.Declaration.from_sequence pyarrow._acero.Declaration.__init__ pyarrow._acero.Declaration.to_table pyarrow._acero.Declaration.to_reader _cython_3_1_3.cython_function_or_method _cython_3_1_3._common_types_metatype pyarrow._acero._AsofJoinNodeOptions pyarrow._acero._HashJoinNodeOptions pyarrow._acero._OrderByNodeOptions pyarrow._acero._AggregateNodeOptions pyarrow._acero._ProjectNodeOptions pyarrow._acero._FilterNodeOptions pyarrow._acero._TableSourceNodeOptions 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.ExecNodeOptions
Base class for the node options.
Use one of the subclasses to construct an options object.
ôýÿ ýÿ>ýÿ`ýÿýÿ§ýÿ̘ýÿñýÿýÿ;ýÿ`ýÿífþÿÚfþÿÆfþÿ²fþÿfþÿfþÿ|fþÿ nþÿømþÿämþÿÐmþÿ¼mþÿ¨mþÿmþÿmþÿlmþÿXmþÿÀpþÿ@oþÿ qþÿqþÿÐpþÿ0qþÿ·Æþÿ¤ÆþÿÆþÿ|ÆþÿhÆþÿTÆþÿ@Æþÿ,ÆþÿÆþÿ×þÿT×þÿ$×þÿ×þÿÈþÿÌ×þÿO÷þÿ<÷þÿ(÷þÿ÷þÿ ÷þÿìöþÿ 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='', output_suffix_for_right='', filter_expression=None) _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='', output_suffix_for_right='', Expression filter_expression=None) OrderByNodeOptions.__init__(self, sort_keys=(), *, null_placement='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) self.wrapped cannot be converted to a Python object for pickling self.decl cannot be converted to a Python object for pickling The number of names should be equal to the number of expressions 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. ExecNodeOptions.__setstate_cython__ AØ<OÈqØ ;Ð;\Ð\]ð :SØ !Ø
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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.
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 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 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 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 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.
_HashJoinNodeOptions._set_options _HashJoinNodeOptions.__reduce_cython__ _FilterNodeOptions.__setstate_cython__ _FilterNodeOptions.__reduce_cython__ ExecNodeOptions.__reduce_cython__ _AsofJoinNodeOptions._set_options _AsofJoinNodeOptions.__reduce_cython__ _AggregateNodeOptions._set_options _AggregateNodeOptions.__setstate_cython__ _AggregateNodeOptions.__reduce_cython__
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.
_HashJoinNodeOptions.__setstate_cython__ _FilterNodeOptions._set_options _AsofJoinNodeOptions.__setstate_cython__ Ð,¨Að
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ProjectNodeOptions.__init__ OrderByNodeOptions.__init__ Declaration.from_sequence TableSourceNodeOptions FilterNodeOptions.__init__ output_suffix_for_right output_suffix_for_left _TableSourceNodeOptions AggregateNodeOptions Unsupported join type HashJoinNodeOptions Declaration.to_reader AsofJoinNodeOptions ProjectNodeOptions OrderByNodeOptions Declaration.to_table _AggregateNodeOptions c_filter_expression _HashJoinNodeOptions FilterNodeOptions _AsofJoinNodeOptions pyarrow/_acero.pyx cline_in_traceback asyncio.coroutines _ProjectNodeOptions _OrderByNodeOptions filter_expression _FilterNodeOptions Ð)¨ð Ð" (¨!¨1ØgV1Ø !Ð.¨a¨t°7¸$¸mÈ8ÐSTàq __setstate_cython__ ExecNodeOptions pyarrow._acero null_placement c_right_output c_aggregations Að*
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