Source code for

# -*- coding: utf-8 -*-
"""Useful Utility classes."""

__all__ = [

import copy
from typing import Optional, Dict, Any, List, Iterable as IterableType, Union
from import MutableSequence

from .tests import all_type, isiterable

_options = {
    "short_repr": False,
    "short_data_repr": False,
    "short_folder_rrepr": True,
    "short_img_repr": True,
    "no_figs": True,
    "multiprocessing": False,  # Change default to not use multiprocessing for now
    "threading": False,

class attributeStore(dict):

    """A dictionary=like class that provides attributes that work like indices.

    Used to implement the mapping of column types to indices in the setas attriobutes.

    def __init__(self, *args: Any, **kargs: Any) -> None:
        """Initialise from a dictionary."""
        if len(args) == 1 and isinstance(args[0], dict):
            super().__init__(*args, **kargs)

    def __setattr__(self, name: str, value: Any) -> None:
        """Set an attribute (equivalent to setting an item)."""
        self[name] = value

    def __getattr__(self, name: str) -> Any:
        """Get an attrbute (equivalent to getting an item)."""
            return self[name]
        except KeyError as err:
            raise AttributeError from err

def itersubclasses(cls: type, _seen: Optional[set] = None) -> List[type]:
    """Iterate over subclasses of a given class.

    Generator over all subclasses of a given class, in depth first order.

    >>> list(itersubclasses(int)) == [bool]
    >>> class A(object): pass
    >>> class B(A): pass
    >>> class C(A): pass
    >>> class D(B,C): pass
    >>> class E(D): pass
    >>> for cls in itersubclasses(A):
    ...     print(cls.__name__)
    >>> # get ALL (new-style) classes currently defined
    >>> [cls.__name__ for cls in itersubclasses(object)] #doctest: +ELLIPSIS
    ['type', ...'tuple', ...]
    if not isinstance(cls, type):
        raise TypeError(f"itersubclasses must be called with new-style classes, not {cls}")
    if _seen is None:
        _seen = set()
        subs = cls.__subclasses__()
    except TypeError:  # fails only when cls is type
        subs = cls.__subclasses__(cls)
    for sub in subs:
        if sub not in _seen:
            itersubclasses(sub, _seen)
    return list(_seen)

def subclasses(cls: Optional[type] = None) -> Dict:  # pylint: disable=no-self-argument
    """Return a list of all in memory subclasses of this DataFile."""
    # pylint: disable=E1136, E1135
    if cls is None:
        from ..Core import DataFile  # pylint: disable=import-outside-toplevel

        cls = DataFile

    _subclasses = getattr(cls, "_subclasses", None)
    if _subclasses is None:
        _subclasses = dict()
    tmp = itersubclasses(cls)
    if len(_subclasses) < 1 or _subclasses[0] != len(tmp):  # Rebuild index
        tmp = {
            x: (getattr(x, "priority", 256), x.__name__)
            for x in sorted(tmp, key=lambda c: (getattr(c, "priority", 256), getattr(c, "__name__", "None")))
        tmp = {v[1]: k for k, v in tmp.items()}
        ret = dict()
        ret[cls.__name__] = cls
        _subclasses = dict()
        _subclasses = (len(tmp), ret)
        ret = dict(_subclasses[1])
    setattr(cls, "_subclasses", _subclasses)
    return ret

[docs]class typedList(MutableSequence): """Subclass list to make setitem enforce strict typing of members of the list.""" def __init__(self, *args: Any, **kargs: Any) -> None: """Construct the typedList.""" self._store = [] if (not args) or not (isinstance(args[0], type) or (isinstance(args[0], tuple) and all_type(args[0], type))): self._type = str # Default list type is a string else: args = list(args) self._type = args.pop(0) if not args: self._store = list(*args, **kargs) elif len(args) == 1 and all_type(args[0], self._type): self._store = list(*args, **kargs) else: if len(args) > 1: raise SyntaxError("List should be constructed with at most two arguments, a type and an iterable") raise TypeError(f"List should be initialised with elements that are all of type {self._type}") def __add__(self, other: IterableType) -> "typedList": """Add operator works like ordinary lists.""" if isiterable(other): new = copy.deepcopy(self) new.extend(other) return new return NotImplemented def __iadd__(self, other: IterableType) -> "typedList": """Inplace-add works like a list.""" if isiterable(other): self.extend(other) return self return NotImplemented def __radd__(self, other: IterableType) -> "typedList": """Support add on the right like a list.""" if isinstance(other, list): return other + self._store return NotImplemented def __eq__(self, other: List) -> bool: """Equality test.""" return self._store == other def __delitem__(self, index: int) -> None: """Remove an item like in a list.""" del self._store[index] def __getitem__(self, index: int) -> Any: """Get an item like in a list.""" return self._store[index] def __len__(self) -> int: """Implement the len function like a list.""" return len(self._store) def __repr__(self) -> str: """Textual representation like a list.""" return repr(self._store) def __setitem__(self, name: Union[int, IterableType, slice], value: Any) -> None: """Sett an item and do some type checks.""" if isiterable(name) or isinstance(name, slice): if not isiterable(value) or not all_type(value, self._type): raise TypeError( f"Elelements of this list should be of type {self._type} and must set " + "the correct number of elements" ) elif not isinstance(value, self._type): raise TypeError(f"Elelements of this list should be of type {self._type}") self._store[name] = value
[docs] def extend(self, other: IterableType) -> None: # pylint: disable=arguments-differ """Extend the list and do some type checking.""" if not isiterable(other) or not all_type(other, self._type): raise TypeError(f"Elelements of this list should be of type {self._type}") self._store.extend(other)
[docs] def index( # pylint: disable=arguments-differ self, search: Any, start: int = 0, end: Optional[int] = None ) -> int: """Index works like a list except we support Python 3 optional parameters everywhere.""" if end is None: end = len(self._store) return self._store[start:end].index(search) + start
[docs] def insert(self, index: int, obj: Any) -> None: # pylint: disable=arguments-differ """Insert an element and do some type checking.""" if not isinstance(obj, self._type): raise TypeError(f"Elelements of this list should be of type {self._type}") self._store.insert(index, obj)
[docs]def get_option(name: str) -> bool: """Return the option value.""" if name not in _options.keys(): raise IndexError(f"{name} is not a valid package option") return _options[name]
[docs]def set_option(name: str, value: bool) -> None: """Set a global package option. Args: name (str): Option Name, one of: - short_repr (bool): Instead of using a rich representation, use a short description for DataFile and Imagefile. - short_data_repr (bool): Just use short representation for DataFiles - short_img_repr (bool): Just use a short representation for image file - no_figs (bool): Do not return figures from plotting functions, just plot them. value (depends on name): The value to set (see *name*) """ if name not in _options.keys(): raise IndexError(f"{name} is not a valid package option") if not isinstance(value, bool): raise ValueError(f"{name} takes a boolean value not a {type(value)}") _options[name] = value
[docs]class Options: """Dead simple class to allow access to package options.""" def __init__(self): """Options class wraps the get/set_option calls into an object orientated interface.""" self._defaults = copy.copy(_options) def __setattr__(self, name: str, value: bool) -> None: """Set an option value.""" if name.startswith("_"): return super().__setattr__(name, value) if name not in _options: raise AttributeError(f"{name} is not a recognised option.") if not isinstance(value, type(_options[name])): raise ValueError(f"{name} takes a {type(_options[name])} not a {type(value)}") set_option(name, value) def __getattr__(self, name: str) -> bool: """Lookup an option value.""" if name not in _options: raise AttributeError(f"{name} is not a recognised option.") return get_option(name) def __delattr__(self, name: str) -> None: """Clear and Option value back to defaults.""" if name not in _options: raise AttributeError(f"{name} is not a recognised option.") set_option(name, self._defaults[name]) def __dir__(self) -> List[str]: """Return a list of the aviailable options.""" return list(_options.keys()) def __repr__(self) -> str: """Make a standard text representation of Options class.""" s = "Stoner Package Options\n" s += "~~~~~~~~~~~~~~~~~~~~~~\n" for k in dir(self): s += f"{k} : {get_option(k)}\n" return s
[docs]def copy_into(source: "DataFile", dest: "DataFile") -> "DataFile": """Copy the data associated with source to dest. Args: source(DataFile): The DataFile object to be copied from dest (DataFile): The DataFile objrct to be changed by recieving the copiued data. Returns: The modified *dest* DataFile. Unlike copying or deepcopying a DataFile, this function preserves the class of the destination and just overwrites the attributes that represent the data in the DataFile. """ = dest.setas = source.setas for attr in source._public_attrs: if not hasattr(source, attr) or callable(getattr(source, attr)) or attr in ["data"]: continue try: setattr(dest, attr, copy.deepcopy(getattr(source, attr))) except (NotImplementedError, TypeError, ValueError): # Deepcopying failed, so just copy a reference instead try: setattr(dest, attr, getattr(source, attr)) except ValueError: pass dest._punlic_attrs = source._public_attrs return dest