222 lines
6.1 KiB
Python
222 lines
6.1 KiB
Python
"""
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Support pre-0.12 series pickle compatibility.
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"""
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import copy
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import pickle as pkl
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import sys
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import pandas # noqa
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from pandas import Index
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def load_reduce(self):
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stack = self.stack
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args = stack.pop()
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func = stack[-1]
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if len(args) and type(args[0]) is type:
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n = args[0].__name__ # noqa
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try:
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stack[-1] = func(*args)
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return
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except Exception as e:
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# If we have a deprecated function,
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# try to replace and try again.
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msg = "_reconstruct: First argument must be a sub-type of ndarray"
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if msg in str(e):
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try:
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cls = args[0]
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stack[-1] = object.__new__(cls)
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return
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except TypeError:
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pass
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# try to re-encode the arguments
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if getattr(self, "encoding", None) is not None:
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args = tuple(
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arg.encode(self.encoding) if isinstance(arg, str) else arg
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for arg in args
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)
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try:
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stack[-1] = func(*args)
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return
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except TypeError:
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pass
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# unknown exception, re-raise
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if getattr(self, "is_verbose", None):
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print(sys.exc_info())
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print(func, args)
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raise
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# If classes are moved, provide compat here.
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_class_locations_map = {
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("pandas.core.sparse.array", "SparseArray"): ("pandas.core.arrays", "SparseArray"),
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# 15477
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#
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# TODO: When FrozenNDArray is removed, add
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# the following lines for compat:
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#
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# ('pandas.core.base', 'FrozenNDArray'):
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# ('numpy', 'ndarray'),
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# ('pandas.core.indexes.frozen', 'FrozenNDArray'):
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# ('numpy', 'ndarray'),
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#
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# Afterwards, remove the current entry
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# for `pandas.core.base.FrozenNDArray`.
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("pandas.core.base", "FrozenNDArray"): (
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"pandas.core.indexes.frozen",
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"FrozenNDArray",
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),
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("pandas.core.base", "FrozenList"): ("pandas.core.indexes.frozen", "FrozenList"),
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# 10890
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("pandas.core.series", "TimeSeries"): ("pandas.core.series", "Series"),
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("pandas.sparse.series", "SparseTimeSeries"): (
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"pandas.core.sparse.series",
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"SparseSeries",
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),
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# 12588, extensions moving
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("pandas._sparse", "BlockIndex"): ("pandas._libs.sparse", "BlockIndex"),
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("pandas.tslib", "Timestamp"): ("pandas._libs.tslib", "Timestamp"),
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# 18543 moving period
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("pandas._period", "Period"): ("pandas._libs.tslibs.period", "Period"),
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("pandas._libs.period", "Period"): ("pandas._libs.tslibs.period", "Period"),
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# 18014 moved __nat_unpickle from _libs.tslib-->_libs.tslibs.nattype
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("pandas.tslib", "__nat_unpickle"): (
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"pandas._libs.tslibs.nattype",
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"__nat_unpickle",
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),
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("pandas._libs.tslib", "__nat_unpickle"): (
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"pandas._libs.tslibs.nattype",
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"__nat_unpickle",
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),
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# 15998 top-level dirs moving
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("pandas.sparse.array", "SparseArray"): (
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"pandas.core.arrays.sparse",
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"SparseArray",
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),
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("pandas.sparse.series", "SparseSeries"): (
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"pandas.core.sparse.series",
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"SparseSeries",
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),
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("pandas.sparse.frame", "SparseDataFrame"): (
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"pandas.core.sparse.frame",
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"SparseDataFrame",
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),
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("pandas.indexes.base", "_new_Index"): ("pandas.core.indexes.base", "_new_Index"),
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("pandas.indexes.base", "Index"): ("pandas.core.indexes.base", "Index"),
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("pandas.indexes.numeric", "Int64Index"): (
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"pandas.core.indexes.numeric",
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"Int64Index",
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),
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("pandas.indexes.range", "RangeIndex"): ("pandas.core.indexes.range", "RangeIndex"),
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("pandas.indexes.multi", "MultiIndex"): ("pandas.core.indexes.multi", "MultiIndex"),
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("pandas.tseries.index", "_new_DatetimeIndex"): (
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"pandas.core.indexes.datetimes",
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"_new_DatetimeIndex",
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),
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("pandas.tseries.index", "DatetimeIndex"): (
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"pandas.core.indexes.datetimes",
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"DatetimeIndex",
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),
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("pandas.tseries.period", "PeriodIndex"): (
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"pandas.core.indexes.period",
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"PeriodIndex",
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),
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# 19269, arrays moving
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("pandas.core.categorical", "Categorical"): ("pandas.core.arrays", "Categorical"),
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# 19939, add timedeltaindex, float64index compat from 15998 move
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("pandas.tseries.tdi", "TimedeltaIndex"): (
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"pandas.core.indexes.timedeltas",
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"TimedeltaIndex",
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),
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("pandas.indexes.numeric", "Float64Index"): (
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"pandas.core.indexes.numeric",
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"Float64Index",
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),
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}
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# our Unpickler sub-class to override methods and some dispatcher
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# functions for compat
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class Unpickler(pkl._Unpickler): # type: ignore
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def find_class(self, module, name):
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# override superclass
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key = (module, name)
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module, name = _class_locations_map.get(key, key)
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return super().find_class(module, name)
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Unpickler.dispatch = copy.copy(Unpickler.dispatch)
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Unpickler.dispatch[pkl.REDUCE[0]] = load_reduce
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def load_newobj(self):
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args = self.stack.pop()
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cls = self.stack[-1]
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# compat
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if issubclass(cls, Index):
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obj = object.__new__(cls)
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else:
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obj = cls.__new__(cls, *args)
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self.stack[-1] = obj
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Unpickler.dispatch[pkl.NEWOBJ[0]] = load_newobj
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def load_newobj_ex(self):
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kwargs = self.stack.pop()
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args = self.stack.pop()
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cls = self.stack.pop()
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# compat
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if issubclass(cls, Index):
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obj = object.__new__(cls)
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else:
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obj = cls.__new__(cls, *args, **kwargs)
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self.append(obj)
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try:
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Unpickler.dispatch[pkl.NEWOBJ_EX[0]] = load_newobj_ex
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except (AttributeError, KeyError):
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pass
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def load(fh, encoding=None, is_verbose=False):
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"""load a pickle, with a provided encoding
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if compat is True:
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fake the old class hierarchy
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if it works, then return the new type objects
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Parameters
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----------
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fh : a filelike object
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encoding : an optional encoding
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is_verbose : show exception output
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"""
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try:
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fh.seek(0)
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if encoding is not None:
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up = Unpickler(fh, encoding=encoding)
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else:
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up = Unpickler(fh)
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up.is_verbose = is_verbose
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return up.load()
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except (ValueError, TypeError):
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raise
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