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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
/
_hdfs.cpython-39-aarch64-linux-gnu.so
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Expected %zd from C header, got %zd from PyObject invalid vtable found for imported type while calling a Python object NULL result without error in PyObject_Call __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 __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. __%.4s__ returned non-%.4s (type %.200s) int an integer is required value too large to convert to int %s() got multiple values for keyword argument '%U' %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' '%.200s' object has no attribute '%U' pyarrow._fs FileSystem 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' keywords must be strings unbound method %.200S() needs an argument name '%U' is not defined <stringsource> string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_string Unknown exception pyarrow/_hdfs.pyx pyarrow._hdfs.HadoopFileSystem.init _reconstruct argument after ** must be a mapping, not NoneType pyarrow._hdfs.HadoopFileSystem._reconstruct exactly %.200s() takes %.8s %zd positional argument%.1s (%zd given) Module '_hdfs' has already been imported. Re-initialisation is not supported. builtins cython_runtime __builtins__ does not match pyarrow._hdfs 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 type bool complex datetime date time timedelta tzinfo pyarrow.lib _Weakrefable 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 FileInfo FileSelector LocalFileSystem SubTreeFileSystem _MockFileSystem PyFileSystem init pyarrow._hdfs at least at most __init__ pyarrow._hdfs.HadoopFileSystem.__init__ host Argument '%.200s' has incorrect type (expected %.200s, got %.200s) user startswith 'NoneType' object has no attribute '%.30s' unicode Expected %s, got %.200s dictionary changed size during iteration too many values to unpack (expected %zd) 'NoneType' object is not iterable string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_string pair.to_py.__pyx_convert_pair_to_py_std_3a__3a_string____std_3a__3a_string pyarrow._hdfs.HadoopFileSystem.__reduce__ __reduce__ pyarrow._hdfs.HadoopFileSystem.from_uri from_uri _cython_3_0_10.cython_function_or_method __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._hdfs.HadoopFileSystem HadoopFileSystem(unicode host, int port=8020, unicode user=None, *, int replication=3, int buffer_size=0, default_block_size=None, kerb_ticket=None, extra_conf=None)
HDFS backed FileSystem implementation
Parameters
----------
host : str
HDFS host to connect to. Set to "default" for fs.defaultFS from
core-site.xml.
port : int, default 8020
HDFS port to connect to. Set to 0 for default or logical (HA) nodes.
user : str, default None
Username when connecting to HDFS; None implies login user.
replication : int, default 3
Number of copies each block will have.
buffer_size : int, default 0
If 0, no buffering will happen otherwise the size of the temporary read
and write buffer.
default_block_size : int, default None
None means the default configuration for HDFS, a typical block size is
128 MB.
kerb_ticket : string or path, default None
If not None, the path to the Kerberos ticket cache.
extra_conf : dict, default None
Extra key/value pairs for configuration; will override any
hdfs-site.xml properties.
Examples
--------
>>> from pyarrow import fs
>>> hdfs = fs.HadoopFileSystem(host, port, user=user, kerb_ticket=ticket_cache_path) # doctest: +SKIP
For usage of the methods see examples for :func:`~pyarrow.fs.LocalFileSystem`.
w i ] O C 5 ) HadoopFileSystem HadoopFileSystem.__reduce__ HadoopFileSystem._reconstruct HadoopFileSystem.from_uri RuntimeError Time zones are not available from the C-API. ? . asyncio.coroutines buffer_size cline_in_traceback default default_block_size __dict__ disable enable extra_conf format from_uri frombytes gc hdfs:// hdfs://{} host __import__ _is_coroutine isenabled items k kerb_ticket kwargs __main__ __name__ options opts port pyarrow._hdfs pyarrow/_hdfs.pyx pyarrow.lib pyarrow.util __pyx_vtable__ _reconstruct __reduce__ replication self staticmethod _stringify_path __test__ tobytes uri user v viewfs:// wrapped HadoopFileSystem.__reduce__(self) HadoopFileSystem._reconstruct(kwargs) HadoopFileSystem.from_uri(uri)
Instantiate HadoopFileSystem object from an URI string.
The following two calls are equivalent
* ``HadoopFileSystem.from_uri('hdfs://localhost:8020/?user=test&replication=1')``
* ``HadoopFileSystem('localhost', port=8020, user='test', replication=1)``
Parameters
----------
uri : str
A string URI describing the connection to HDFS.
In order to change the user, replication, buffer_size or
default_block_size pass the values as query parts.
Returns
-------
HadoopFileSystem
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