code
stringlengths
3
6.57k
reduce_to_hlen(msg, hf)
assert_batch_as_valid_(m_hashes, Qs, sigs, hf)
assert_batch_as_valid_(m_hashes, Qs, sigs, hf)
reduce_to_hlen(msg, hf)
batch_verify_(m_hashes, Qs, sigs, hf)
SMAPE(base.MeanMetric, base.RegressionMetric)
metrics.SMAPE()
zip(y_true, y_pred)
metric.update(yt, yp)
_eval(self, y_true, y_pred)
abs(y_true)
abs(y_pred)
abs(y_true - y_pred)
get(self)
super()
get()
dict()
permute (int or label for object)
_single_replace(self, to_replace, method, inplace, limit)
type(self)
self.copy()
missing.get_fill_func(method)
missing.mask_missing(result.values, to_replace)
fill_f(result.values, limit=limit, mask=mask)
pd.Series(values, index=self.index, dtype=self.dtype)
__finalize__(self)
self._update_inplace(result._data)
NDFrame(PandasObject, SelectionMixin, indexing.IndexingMixin)
set(_internal_names)
set()
frozenset(["get_values"])
object.__setattr__(self, "_is_copy", None)
object.__setattr__(self, "_data", data)
object.__setattr__(self, "_item_cache", {})
dict(attrs)
object.__setattr__(self, "_attrs", attrs)
_init_mgr(cls, mgr, axes=None, dtype=None, copy=False)
axes.items()
cls._get_block_manager_axis(a)
mgr.copy()
len(mgr.blocks)
mgr.astype(dtype=dtype)
attrs(self)
attrs(self, value: Mapping[Optional[Hashable], Any])
dict(value)
_validate_dtype(cls, dtype)
pandas_dtype(dtype)
_constructor(self: FrameOrSeries)
AbstractMethodError(self)
_constructor_sliced(self)
dimension(s)
AbstractMethodError(self)
_constructor_expanddim(self)
Series.to_frame()
_construct_axes_dict(self, axes=None, **kwargs)
self._get_axis(a)
in (axes or self._AXIS_ORDERS)
d.update(kwargs)
of (axes, kwargs)
list(args)
args.pop(0)
kwargs.pop(a, sentinel)
_get_axis_number(cls, axis)
cls._AXIS_ALIASES.get(axis, axis)
is_integer(axis)
ValueError(f"No axis named {axis} for object type {cls}")
_get_axis_name(cls, axis)
cls._AXIS_ALIASES.get(axis, axis)
isinstance(axis, str)
ValueError(f"No axis named {axis} for object type {cls}")
_get_axis(self, axis)
self._get_axis_name(axis)
getattr(self, name)
_get_block_manager_axis(cls, axis)
cls._get_axis_number(axis)
_get_axis_resolvers(self, axis: str)
getattr(self, axis)
dict()
enumerate(axis_index.names)
axis_index.get_level_values(level)
level_values.to_series()
isinstance(axis_index, MultiIndex)
axis_index.to_series()
_get_index_resolvers(self)
d.update(self._get_axis_resolvers(axis_name)
clean_column_name(k)
d.items()
isinstance(k, int)
_get_cleaned_column_resolvers(self)
isinstance(self, ABCSeries)
clean_column_name(self.name)
clean_column_name(k)
self.items()
isinstance(k, int)
_info_axis(self)
getattr(self, self._info_axis_name)
_stat_axis(self)
getattr(self, self._stat_axis_name)
shape(self)
tuple(len(self._get_axis(a)