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"""PyTables, hierarchical datasets in Python.
:URL: http://www.pytables.org/
PyTables is a package for managing hierarchical datasets and designed
to efficiently cope with extremely large amounts of data.
"""
import os
import platform
from ctypes import cdll
from ctypes.util import find_library
# Load the blosc2 library, and if not found in standard locations,
# try this directory (it should be automatically copied in setup.py).
current_dir = os.path.dirname(__file__)
platform_system = platform.system()
blosc2_lib_hardcoded = "libblosc2"
if platform_system == "Linux":
blosc2_lib_hardcoded += ".so"
elif platform_system == "Darwin":
blosc2_lib_hardcoded += ".dylib"
else:
blosc2_lib_hardcoded += ".dll"
blosc2_found = False
blosc2_search_paths = [
blosc2_lib_hardcoded,
os.path.join(current_dir, blosc2_lib_hardcoded),
# delvewheel will put it here
os.path.join(
os.path.dirname(current_dir), "tables.libs", blosc2_lib_hardcoded
),
]
if find_library("blosc2"):
blosc2_search_paths.append(find_library("blosc2"))
for blosc2_lib in blosc2_search_paths:
if blosc2_lib:
try:
cdll.LoadLibrary(blosc2_lib)
except OSError:
pass
else:
blosc2_found = True
break
if not blosc2_found:
raise RuntimeError(
f"Blosc2 library not found. "
f"I looked for {', '.join(blosc2_search_paths)}"
)
from ._version import __version__
# Necessary imports to get versions stored on the cython extension
from .utilsextension import get_hdf5_version as _get_hdf5_version
hdf5_version = _get_hdf5_version()
"""The underlying HDF5 library version number.
.. versionadded:: 3.0
"""
from .atom import *
from .file import File, open_file, copy_file
from .leaf import Leaf, ChunkInfo
from .node import Node
from .array import Array
from .group import Group
from .table import Table, Cols, Column
from .tests import print_versions, test
from .carray import CArray
from .earray import EArray
from .flavor import restrict_flavors
from .filters import Filters
from .vlarray import VLArray
from .misc.enum import Enum
# Import the user classes from the proper modules
from .exceptions import *
from .expression import Expr
from .description import *
from .unimplemented import UnImplemented, Unknown
from .utilsextension import (
blosc_compcode_to_compname_ as blosc_compcode_to_compname,
)
from .utilsextension import (
blosc2_compcode_to_compname_ as blosc2_compcode_to_compname,
)
from .utilsextension import blosc_get_complib_info_ as blosc_get_complib_info
from .utilsextension import blosc2_get_complib_info_ as blosc2_get_complib_info
from .utilsextension import (
blosc_compressor_list,
blosc2_compressor_list,
is_hdf5_file,
is_pytables_file,
which_lib_version,
set_blosc_max_threads,
set_blosc2_max_threads,
silence_hdf5_messages,
)
# List here only the objects we want to be publicly available
__all__ = [
# Exceptions and warnings:
"HDF5ExtError",
"ClosedNodeError",
"ClosedFileError",
"FileModeError",
"NaturalNameWarning",
"NodeError",
"NoSuchNodeError",
"UndoRedoError",
"UndoRedoWarning",
"PerformanceWarning",
"FlavorError",
"FlavorWarning",
"FiltersWarning",
"DataTypeWarning",
"ChunkError",
"NotChunkedError",
"NotChunkAlignedError",
"NoSuchChunkError",
# Functions:
"is_hdf5_file",
"is_pytables_file",
"which_lib_version",
"copy_file",
"open_file",
"print_versions",
"test",
"split_type",
"restrict_flavors",
"set_blosc_max_threads",
"set_blosc2_max_threads",
"silence_hdf5_messages",
# Helper classes:
"IsDescription",
"Description",
"Filters",
"Cols",
"Column",
"ChunkInfo",
# Types:
"Enum",
# Atom types:
"Atom",
"StringAtom",
"BoolAtom",
"IntAtom",
"UIntAtom",
"Int8Atom",
"UInt8Atom",
"Int16Atom",
"UInt16Atom",
"Int32Atom",
"UInt32Atom",
"Int64Atom",
"UInt64Atom",
"FloatAtom",
"Float32Atom",
"Float64Atom",
"ComplexAtom",
"Complex32Atom",
"Complex64Atom",
"Complex128Atom",
"TimeAtom",
"Time32Atom",
"Time64Atom",
"EnumAtom",
"PseudoAtom",
"ObjectAtom",
"VLStringAtom",
"VLUnicodeAtom",
# Column types:
"Col",
"StringCol",
"BoolCol",
"IntCol",
"UIntCol",
"Int8Col",
"UInt8Col",
"Int16Col",
"UInt16Col",
"Int32Col",
"UInt32Col",
"Int64Col",
"UInt64Col",
"FloatCol",
"Float32Col",
"Float64Col",
"ComplexCol",
"Complex32Col",
"Complex64Col",
"Complex128Col",
"TimeCol",
"Time32Col",
"Time64Col",
"EnumCol",
# Node classes:
"Node",
"Group",
"Leaf",
"Table",
"Array",
"CArray",
"EArray",
"VLArray",
"UnImplemented",
"Unknown",
# The File class:
"File",
# Expr class
"Expr",
]
if "Float16Atom" in locals():
# float16 is new in numpy 1.6.0
__all__.extend(("Float16Atom", "Float16Col"))
if "Float96Atom" in locals():
__all__.extend(("Float96Atom", "Float96Col"))
__all__.extend(("Complex192Atom", "Complex192Col")) # XXX check
if "Float128Atom" in locals():
__all__.extend(("Float128Atom", "Float128Col"))
__all__.extend(("Complex256Atom", "Complex256Col")) # XXX check
def get_pytables_version() -> str:
warnings.warn(
"the 'get_pytables_version()' function is deprecated and could be "
"removed in future versions. Please use 'tables.__version__'",
DeprecationWarning,
)
return __version__
def get_hdf5_version() -> str:
warnings.warn(
"the 'get_hdf5_version()' function is deprecated and could be "
"removed in future versions. Please use 'tables.hdf5_version'",
DeprecationWarning,
)
return hdf5_version
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