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argument_hash: string
hash of the function arguments
mmap_mode: {None, 'r+', 'r', 'w+', 'c'}
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verbosity level (0 means no message)
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MemorizedFunca� Callable object decorating a function for caching its return value
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func: callable
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cachedir: string
Path to the base cache directory of the memory context.
ignore: list or None
List of variable names to ignore when choosing whether to
recompute.
mmap_mode: {None, 'r+', 'r', 'w+', 'c'}
The memmapping mode used when loading from cache
numpy arrays. See numpy.load for the meaning of the different
values.
compress: boolean, or integer
Whether to zip the stored data on disk. If an integer is
given, it should be between 1 and 9, and sets the amount
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read by memmapping.
verbose: int, optional
The verbosity flag, controls messages that are issued as
the function is evaluated.
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cachedir: string
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ignore: list or None
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mmap_mode: {None, 'r+', 'r', 'w+', 'c'}, optional
The memmapping mode used when loading from cache
numpy arrays. See numpy.load for the meaning of the
arguments.
compress : boolean, or integer
Whether to zip the stored data on disk. If an integer is
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hash of function arguments
metadata: dict
some metadata about wrapped function call (see _persist_input())
Nrj � r7 z3Computing func %s, argument hash %s in directory %srC r8 rE rD z%s cache loaded - %sr �P �_z<Exception while loading results for (args=%s, kwargs=%s)
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result.
Returns
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cached_result: MemorizedResult or NotMemorizedResult
reference to the value returned by the wrapped function. The
class "NotMemorizedResult" is used when there is no cache
activated (e.g. cachedir=None in Memory).
rD rE r rC )r� rK r- r( rm rC )rS rG re r} r. rD r r r rg � s z MemorizedFunc.call_and_shelvec O s | j | | � d S)Nr )r� )rS rG re r r r rf � s zMemorizedFunc.__call__c C s1 | j | j | j | j | j | j | j f f S)z� We don't store the timestamp when pickling, to avoid the hash
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)r[ r( r- rl r8 rn rm )rS r r r r] � s zMemorizedFunc.__reduce__c O s# t j d t � t | j | | � S)NzMMemorizedFunc.format_signature will be removed in a future version of joblib.)ro rh �DeprecationWarningr r( )rS rG re r r r r � s z MemorizedFunc.format_signaturec O s# t j d t � t | j | | � S)NzHMemorizedFunc.format_call will be removed in a future version of joblib.)ro rh r� r r( )rS rG re r r r r � s zMemorizedFunc.format_callc O s1 t j t | j | j | | � d | j d k �S)N� coerce_mmap)r �hashr r( rl r8 )rS rG re r r r �_get_argument_hash� s z MemorizedFunc._get_argument_hashc O s= | j | | � } t j j | j | j � | � } | | f S)z} Return the directory in which are persisted the result
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function.
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zMemorizedFunc._get_func_dirc C s: t t | j d d � � } t | j � t | j � | f S)z'Hash a function to key the online cache�__code__N)r� �getattrr( �id)rS � func_code_hr r r �
_hash_func s zMemorizedFunc._hash_funcc C s� d t | | f } t j | d d d �� } | j | � Wd QRXd } t ru t | j d � oo | j j d k } n$ t | j d � o� | j j d k } | r� | j � } y | t
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output_dir: string
directory where to write metadata.
duration: float
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args, kwargs: list and dict
input arguments for wrapped function
this_duration_limit: float
Max execution time for this function before issuing a warning.
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metadata.jsonr� Na~ Persisting input arguments took %.2fs to run.
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z MemorizedFunc._persist_inputc C sA t j d t � t | t | j � d | j d | j d | j �S)ze Read the results of a previous calculation from the directory
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� Z d d � Z d d � Z d S)�Memoryz� A context object for caching a function's return value each time it
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see :ref:`memory_reference`
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Parameters
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cachedir: string or None
The path of the base directory to use as a data store
or None. If None is given, no caching is done and
the Memory object is completely transparent.
mmap_mode: {None, 'r+', 'r', 'w+', 'c'}, optional
The memmapping mode used when loading from cache
numpy arrays. See numpy.load for the meaning of the
arguments.
compress: boolean, or integer
Whether to zip the stored data on disk. If an integer is
given, it should be between 1 and 9, and sets the amount
of compression. Note that compressed arrays cannot be
read by memmapping.
verbose: int, optional
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as functions are evaluated.
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zMemory.__init__c C s� | d k r. t j | j d | d | d | �S| j d k rG t | � S| d k r\ | j } | d k rq | j } t | t � r� | j } t | d | j d | d | d | j
d | d | j �S) a{ Decorates the given function func to only compute its return
value for input arguments not cached on disk.
Parameters
----------
func: callable, optional
The function to be decorated
ignore: list of strings
A list of arguments name to ignore in the hashing
verbose: integer, optional
The verbosity mode of the function. By default that
of the memory object is used.
mmap_mode: {None, 'r+', 'r', 'w+', 'c'}, optional
The memmapping mode used when loading from cache
numpy arrays. See numpy.load for the meaning of the
arguments. By default that of the memory object is used.
Returns
-------
decorated_func: MemorizedFunc object
The returned object is a MemorizedFunc object, that is
callable (behaves like a function), but offers extra
methods for cache lookup and management. See the
documentation for :class:`joblib.memory.MemorizedFunc`.
Nrl rE r8 Fr- rn rC ) rp �partial�cacher- rd rm r8 r, ri r( rn rC )rS r( rl rE r8 r r r r� @ s"
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z Memory.clearc O s2 | j d k r | | | � S| j | � | | � S)a Eval function func with arguments `*args` and `**kwargs`,
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that the function is called only if the cache is not
up to date.
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z Memory.evalc C s d | j j t | j � f S)Nz%s(cachedir=%s))r[ r! r� r- )rS r r r r\ � s zMemory.__repr__c C sJ | j d k r" | j d d � n d } | j | | j | j | j f f S)z� We don't store the timestamp when pickling, to avoid the hash
depending from it.
In addition, when unpickling, we run the __init__
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