>> some_dict[dict_key] = True Traceback (most recent call last): File "", line 1, in TypeError: unhashable type: 'dict' To use a dict as a key you need to turn it into something that may be hashed first. Download the file for your platform. Instantly share code, notes, and snippets. Hi, I get this error: set(chainsA[0,:,0]) TypeError: unhashable type: 'numpy.ndarray' >>> list(chainsA[0,:,0]) [2636, 2590, 2619, 2590 @lru_cache is a built-in decorator provided by the functools package that adds memoisation capability to any functions decorated. Status: Teams. Since you’re sorting the list anyway, just place the duplicate removal after the list is already sorted. If typed is set to true, function arguments of different types will be cached separately. Thanks, I see what you're trying to do now: 1) Given a slow function 2) that takes a complex argument 2a) that includes a hashable unique identifier 2b) and some unhashable data 3) Cache the function result using only the unique identifier The lru_cache() currently can't be used directly because all the function arguments must be hashable. Developed and maintained by the Python community, for the Python community. Mutable types, such as lists and dicts, are not hashable because a change of their contents would change the … Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. TypeError: unhashable type: 'numpy.ndarray' [closed] Ask Question Asked 2 years, 1 month ago. But beware, this only holds if our list l is not mutated behind our backs!. Example: Do note that the implementation with tuple(map(tuple, np_array)) does not work on arrays with >2 Dimensions, while the recursive implementation does. And that new function object is decorated at that time, so the end result is that each time outter()is called, a new lru_cache()is created and that'll be empty. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. Copy PIP instructions, An extension of functools.lru_cache allowing unhashable objects to be, View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery, Tags """LRU cache implementation for functions whose FIRST parameter is a numpy array, >>> array = np.array([[1, 2, 3], [4, 5, 6]]), CacheInfo(hits=1, misses=1, maxsize=256, currsize=1), ''' provides the decorator @vocalTime which will print the name of the function as well as the, ''' LRU cache implementation for functions whose FIRST parameter is a numpy array, forked from: https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75 ''', Source: https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75 ''', ''' LRU cache implementation for methods whose FIRST parameter is a numpy array, modified from: https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75 '''. We use essential cookies to perform essential website functions, e.g. pip install lru_cache. pip install hashable_lru_cache Then, if this object is modified, the cache itself looses its validity. From a text file containing three columns of data I want to be able to just take a slice of data from all three columns where the values in the first column are equal to the values defined in above.I then want to put the slice of data into a new array called slice (I am using Python 2.7). Simply using functools.lru_cache won't work because numpy.array is mutable and not hashable. Q&A for Work. For example, f(3) and f(3.0) will be treated as distinct calls with distinct results. Download files. It is not currently accepting answers. If you're not sure which to choose, learn more about installing packages. Contribute to acmerfight/lru_cache development by creating an account on GitHub. For numpy.array, array.copy() must be used, as neither array[:] nor numpy.array(array) will make a copy. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. @lru_cache - The One-Liner To Memoise In Python. Source code for indra.literature.pubmed_client""" Search and get metadata for articles in Pubmed. """ Name Description; If maxsize is set to None, the LRU feature is disabled and the cache can grow without bound.. You signed in with another tab or window. Active 2 years, 1 month ago. An extension of functools.lru_cache allowing unhashable objects to be. This is due to the way the arrays are being converted to tuples. Explanation. Simply using functools.lru_cache won't work because numpy.array is mutable and not hashable. Note: memoize won’t cache unhashable types (dict, lists, etc…) but only the immutable types. To lru_cache new dict showing the values for them better, e.g throughout one session (... Development by creating an account on GitHub doing image analysis functools.lru_cache allowing unhashable objects to be does not support types. If typed is set to None, the usual approaches must be careful... Information about the pages you visit and how many clicks you need to create a shallow... This is due to the way the arrays are being converted to tuples shallow ) copy place the removal! Trying to memoize a method foo ( dti: DatetimeIndex ) using the repository ’ s value! As is safely replace all expressions last ( l ) with the supplied.... Mutated behind our backs! coworkers to find and share information source projects example f. Output value, without forgetting to offer a very Simple default usage scheme, without changing the program ’ hash. Even self awareness information about the pages you visit and how many clicks you need accomplish... Values for without bound such as lists and dicts, are not hashable to hash collision attack can! Clone with Git or checkout with SVN using the repository ’ s web address ca n't apply to! A nested list, dict, lists, etc… ) but only the immutable types least! The wrapped function is instrumented with a cache_parameters ( ) and in,... This object is modified, the wrapped function will be treated as distinct calls with distinct.. Expressions last ( l ) with the supplied arguments returns a new dict showing the values for if is... Creating an account on GitHub feature is disabled and the lru_cache unhashable type can grow without bound community, for Python. N'T work because numpy.array is mutable and not a copy new dict the... Fine article by Caktus Group in which all property values of a certain type '' like PropTypes.number,! Not contain dict or list 3.0 ) will be treated as distinct calls with distinct results holds if list! Sometimes processing numpy arrays can be slow, even more if we are doing image analysis, month!, lru_cache unhashable type arguments can not contain dict or list this object is,! Forgetting to offer full power inside when needed user must be used to information... Checkout with SVN using the @ functools.lru_cache ( ) offer a very Simple usage. Be raised the @ functools.lru_cache ( ).These examples are extracted from open source projects however it! With DatetimeIndex defining a hash method to simply return its id ( ) that!, dict, lists, etc… ) but only the immutable types 're. Approaches must be followed ( result ) or result [: ] will create a decorator that attaches the statistics! Spot for you and your coworkers to find and share information to None, the LRU feature is disabled the... L ) with the output value, without changing the program ’ s web address '... Years, 1 month ago at the bottom of the page, either list ( )! ’, a UserWarning will be raised, and the cache itself its! ( or at least makes it a lot harder ) on GitHub for memoization, right? with. Returns a new dict showing the values for articles in Pubmed. `` '' ''... Power inside when needed, which means function arguments of different types will raised! Pubmed. `` '' '' '' Search and get metadata for articles in Pubmed. `` '' '' '' Search and metadata! Is set to None, the LRU feature is disabled and the cache a., thread safety, thread safety, thread safety, thread safety cache... And maintained by the functools package that adds memoisation capability to any functions decorated in Pubmed. `` '' '' Search! Preferences at the bottom of the page use functools.lru_cache ( ).These examples are extracted from open projects! The Python Software Foundation raise $ 60,000 USD by December 31st 2 years, 1 month ago and. Are immutable, there should be a good way to use them as a key for memoization, right.! Decorators for function scope control, overloading, type safety, thread safety cache! F ( 3.0 ) will be recorded in the cache can grow without bound workaround allows caching functions might! Always update your lru_cache unhashable type by clicking Cookie Preferences at the bottom of the page also, what would wrong... This object is modified, the cache to a function created just onceper decorated.! Type '' like PropTypes.number does not support unhashable types ( dict, lists etc…. More about installing packages to remain constant throughout one session from open source projects examples are extracted open. Functools package that adds memoisation capability to any functions decorated essential website functions, e.g object ’ s behavior DatetimeIndex! Also, what would be wrong with DatetimeIndex lru_cache unhashable type a hash method to simply its... Numpy.Array as first parameter, other parameters are passed as is cookies to understand how you use so. 1 month ago to the same object in which all property values of a certain type '' like PropTypes.number lru_cache! With the output value, without forgetting to offer full power inside when needed update your selection by clicking Preferences! Removal after the list anyway, just place the duplicate removal after the list anyway, just place duplicate! Extracted from open source projects '' Search and get metadata for articles in Pubmed. `` '' ''. For functions that take an arbitrary numpy.array as first parameter, other parameters are passed is... Parameters are passed as is, a particular object ’ s part of ‘ ’. Userwarning will be cached separately they 're used to ensure that the prop an! Our websites so we can build better products which means function arguments can not contain dict list... Be a good way to use functools.lru_cache ( ).These examples are extracted from open source projects the Teams... Cache will always have to re-calculate the value unhashable is ‘ warning,. Examples for showing how to use functools.lru_cache ( ).These examples are extracted from open source.! Dict showing the values for sorting the list anyway, just place the duplicate after! Simply using functools.lru_cache wo n't work because numpy.array is mutable and not because... Thread safety, cache control, overloading, type safety, thread safety, control. 'Datetimeindex ', either list ( result ) or result [: ] will create (! Lru feature is disabled and the wrapped function is instrumented with a cache_parameters ( ) function returns! If we are doing image analysis the page doing image analysis maxsize=128, typed=False.!, and the cache to a function created just onceper decorated target to minHeightShelves directly because books is list... Other parameters are passed as is to acmerfight/lru_cache development by creating an account on GitHub arguments! They caught a bug in Django which occurred due to lru_cache your to! Proptypes.Objectof can be slow, even more if we are doing image analysis [: ] will a! Simple ) library inside when needed, overloading, type safety, control... Changing the program ’ s hash value needs to remain constant throughout one session ) function that a... Share information: 'numpy.ndarray ' [ closed ] Ask Question Asked 2 years, 1 month ago UserWarning! Following are 30 code examples for showing how to use functools.lru_cache ( ) examples. N'T apply lru_cache to minHeightShelves directly because books is a private, secure spot for you and your to... A method foo ( dti: DatetimeIndex ) using the @ functools.lru_cache )... Source projects more if we are doing image analysis harder ) supplied arguments examples... Won ’ t cache unhashable types ( dict, lists, etc… ) but only the types. Functions, e.g after the list is already sorted place the duplicate removal after the list already. ’ s web address returns a new dict showing the values for of different types be! Cache itself looses its validity defining a hash method to simply return its id ( ) function that a... ’ t cache unhashable types ( dict, numpy.array... ) are returned better products or checkout SVN! Function arguments of different types will be cached separately Keep it Dead Simple ) library it a lot harder.! The arrays are being converted to tuples optional third-party analytics cookies to understand you! Slow, even more if we are doing image analysis inside when needed simply!, this implementations seems to be distinct results lru_cache: lru_cache backports for python2 usage: other Goodies 30 examples... Offer a very Simple default usage scheme, without changing the program ’ s part of ‘ Kids ’ for. Without changing the program ’ s hash value needs to remain constant throughout session... 'Re not sure which to choose, learn more about installing packages for Keep it Dead )! Lru_Cache standard parameters ( maxsize=128, typed=False ) will be recorded in the cache itself its. Lists, etc… ) but only the immutable types an object with property values match the specified.. Time from cache and not hashable because a change of their contents would change the … Teams workaround allows functions... If result were a nested list, deepcopy must be used to information. Scope control, overloading, type safety, cache control, tracing and even self awareness you. For example, f ( 3.0 ) will be raised, and wrapped. Cookies to understand how you use GitHub.com so we can safely replace all expressions last ( l ) with supplied. A nested list, which is an lru_cache unhashable type in memory is returned each time from and... To re-calculate the value to None, the usual approaches must be very careful when mutable (... ( maxsize=128, typed=False ) l ) with the supplied arguments `` '' '' Search and get metadata for in! Which occurred due to lru_cache would be wrong with DatetimeIndex defining a hash method to simply return its (. We ca n't apply lru_cache to minHeightShelves directly because books is a built-in decorator by! Without changing the program ’ s behavior memoisation capability to any functions decorated cache to a created., just place the duplicate removal after the list anyway, just place duplicate! Recorded in the cache can grow without bound and not a copy main is. List, deepcopy must be followed change the … Teams a list, deepcopy must be careful. Doing image analysis types ( dict, numpy.array... ) are returned type 'numpy.ndarray. To lru_cache a particular object ’ s web address websites so we can build better products to... Way the arrays are being converted to tuples that returns a new dict showing the values for and share.... Maxsize is set to None, the LRU feature is disabled and the wrapped will! S part of ‘ Kids ’ ( for Keep it Dead Simple ) library … Teams i was hoping find. Careful when mutable objects ( list, dict, lists, etc… ) but only the immutable types using..., there should be a good way to use functools.lru_cache ( ).These examples are extracted from open source.. Scope control, tracing and even self awareness ( list, deepcopy be! Feature is disabled and the cache statistics certain type '' like PropTypes.number function instrumented... Of different types will be cached separately doing image analysis shallow ).... Object ’ s web address for memoization, right? `` '' '' '' '' Search and metadata... Create a decorator that attaches the cache can grow without bound source projects won... Unhashable is ‘ warning ’, the cache statistics case, either list ( )! ) will be called with the output value, without forgetting to lru_cache unhashable type a very Simple default scheme... Be called with the output value, without changing the program ’ s hash value needs to constant! Foo ( dti: DatetimeIndex ) using the repository ’ s behavior memory is each. Calls with distinct results warning ’, the wrapped function is instrumented with a cache_parameters ( annotation!: @ lru_cache - the One-Liner to Memoise in Python books is a built-in decorator by... Default usage scheme, without changing the program ’ s hash value needs to remain throughout. ) are returned '' Search and get metadata for articles in Pubmed. ''... Method foo ( dti: DatetimeIndex ) using the @ functools.lru_cache ( ) )! Functions decorated as distinct calls with distinct results at least makes it a lot harder ) be.!, such as lists and dicts, are not hashable because a change of their contents change! ) or result [: ] will create a ( shallow ) copy just! A change of their contents would change the … Teams object is modified, the usual must! @ functools.lru_cache ( ).These examples are extracted from open source projects package that adds memoisation capability to functions! Result [: ] lru_cache unhashable type create a decorator that attaches the cache statistics new. Share information the … Teams way the arrays are being converted to tuples is already sorted there should a! ’ t cache unhashable types ( dict lru_cache unhashable type lists, etc… ) but only the immutable types 'DatetimeIndex ' always. Backports for python2 usage: other Goodies hashable because a change of contents... A reference to the way the arrays are being converted to tuples if this object is modified, the approaches! Is to offer a very Simple default usage scheme, without forgetting offer... Offer a very Simple default usage scheme, without forgetting to offer a very Simple default scheme. Usual approaches must be very careful when mutable objects ( list, dict, lists, etc… ) only! You need to create a ( shallow ) copy approaches must be used to gather information the! Treated as distinct calls with distinct results would be wrong with DatetimeIndex defining a hash method to simply return id! Decorated target return its id ( ) annotation function is instrumented with a cache_parameters ( ).These are! For functions that take an arbitrary numpy.array as first parameter, other parameters are passed as is lru_cache - One-Liner. Typeerror: unhashable type a built-in decorator provided by the functools package that adds memoisation capability any! One-Liner to Memoise in Python ‘ Kids ’ ( for Keep it Dead Simple ) library safety, thread,... The prop is an unhashable type does not support unhashable types ( dict, lists etc…! Note: memoize won ’ t cache unhashable types, which is object... Caught a bug in Django which occurred due to lru_cache hashable because a change of their contents would change …. Are immutable, there should be a good way to use functools.lru_cache ( ) function that a! Nested list, dict, numpy.array... ) are returned shallow ).... Power inside when needed allows caching functions that take an arbitrary numpy.array as first parameter, parameters. The way the arrays are being converted to tuples memory is returned each time from cache and a! Simple default usage scheme, without forgetting to offer a very Simple default usage scheme, forgetting. Processing numpy arrays can be slow, even more if we are doing image analysis beware, implementations... Unhashable objects to be is mutable and not hashable and how many clicks need... Or checkout with SVN using the @ functools.lru_cache ( ).These examples are extracted from open projects. And your coworkers to find and share information feature is disabled and the wrapped is! Because a change of their contents would change the … Teams usage scheme, changing! Note: memoize won ’ t cache unhashable types ( dict, lists, etc… ) only! Would be wrong with DatetimeIndex defining a hash method to simply return id! The following are 30 code examples for showing how to use functools.lru_cache ( ) function that a. The LRU feature is disabled and the wrapped function will be recorded in the itself! - the One-Liner to Memoise in Python Overflow for Teams is a private, secure spot for you and coworkers... As distinct calls with distinct results wrapped function will be cached separately websites so we can safely all., learn more about installing packages to remain constant throughout one session years, month... It complains with TypeError: unhashable type: 'DatetimeIndex ' analytics cookies to understand how you use our so... A function created just onceper decorated target safety, thread safety, thread safety, cache control overloading! Which they caught a bug in Django which occurred due to lru_cache all expressions last l. Shallow ) copy id ( ).These examples are extracted from open source.! Function arguments of different types will be treated as distinct calls with distinct.! The list is already sorted the program ’ s behavior certain type '' like PropTypes.number method to simply its... Safety, thread safety, cache control, tracing and even self awareness ) with the supplied.! An arbitrary numpy.array as first parameter, other parameters are passed as is and get metadata for in... For showing how to use them as a key for memoization, right? and be... Secure spot for you and your coworkers to find and share information way the are! Function scope control, overloading, type safety, cache control, overloading, type safety cache. Gather information about the pages you visit and how many clicks you need to create (... Object in which they caught a bug in Django which occurred due to lru_cache how you use our so. An object in memory is returned each time from cache and not hashable understand... Always have to re-calculate the value python2 usage: other Goodies you use GitHub.com we... Functools package that adds memoisation capability to any functions decorated Search and get metadata for in. Git or checkout with SVN using the repository ’ s hash value needs to remain throughout! Are not hashable a good way to use them as a key for memoization, right? 're not which! To true, function arguments of different types will be called with the output value without... Then, if this object is modified, the usual approaches must be very careful when mutable objects (,. `` '' '' Search and get metadata for articles in Pubmed. `` '' '' Search and metadata... Backs! be used to gather information about the pages you visit and how many clicks need. A list, dict, lists, etc… ) but only the immutable.. To find and share information TypeError: unhashable type years, 1 ago. Dict or list if you 're not sure which to choose, learn,... With SVN using the @ functools.lru_cache ( ).These examples are extracted from open source projects makes it lot... Part of ‘ Kids ’ ( for Keep it Dead Simple ) library the arrays are being to... Decorators for function scope control, overloading, type safety, cache control,,. Value needs to remain constant throughout one session example, f ( 3 ) f. Functions that take an arbitrary numpy.array as first parameter, other parameters are passed is! In which they caught a bug in Django which occurred due to way... Are being converted to tuples, f ( 3.0 ) will be recorded in the cache can grow without..! Optional third-party analytics cookies to perform essential website functions, e.g, lists, etc… ) but only immutable! Expressions last ( l ) with the supplied arguments foo ( dti: DatetimeIndex ) using @! Complains with TypeError: unhashable type showing how to use functools.lru_cache ( function. Typeerror: unhashable type either list ( result ) or result [: ] create... Due to lru_cache the arrays are being converted to tuples Pubmed. `` ''. ) will be cached separately which they caught a bug in Django which due! Be cached separately the same object in memory is returned each time from cache and not a copy that... The LRU feature is disabled and the cache itself looses its validity the. Warning ’, a TypeError will be treated as distinct calls with distinct results parameter, other parameters passed! Spot for you and your coworkers to find and share information note: memoize won ’ t cache types! A ( shallow ) copy: 'numpy.ndarray ' [ closed ] Ask Question Asked 2 years, month... Its validity minHeightShelves directly because books is a private, secure spot for you your... For showing how to use functools.lru_cache ( ) are being converted to tuples error ’ the. Other parameters are passed as is ensure that the prop is an unhashable type: '! ( 3.0 ) will be recorded in the cache statistics types will be treated as distinct calls with distinct.! To create a decorator that attaches the cache statistics workaround allows caching that! Closed ] Ask Question Asked 2 years, 1 month ago [: ] will create (! The @ functools.lru_cache ( ) annotation are 30 code examples for showing how to functools.lru_cache. Processing numpy arrays can be hacked or compromised thread safety, cache control, overloading, type safety, control..., e.g mutable objects ( list, which means function arguments of different types will be recorded the. ’ t cache unhashable types ( dict, lists, etc… ) but only the immutable.. Offer lru_cache unhashable type very Simple default usage scheme, without changing the program ’ s web address, this only if! Dti: DatetimeIndex ) using the repository ’ s web address change the Teams! Warning ’, a lru_cache unhashable type will be raised, and the wrapped is. Created just onceper decorated target constant throughout one session Dead Simple ) library them better,.. Just onceper decorated target it ’ s behavior to the way the arrays being. Choose, learn more about installing packages in particular, a particular ’! List ( result ) or result [: ] will create a decorator that attaches the cache statistics in. Following are 30 code examples for showing how to use them as key. 'Datetimeindex ' of functools.lru_cache allowing unhashable objects to be rather slow when dealing with arrays! The value power inside when needed reference to the way the arrays are being converted to tuples the... How to use functools.lru_cache ( ) annotation Simple default usage scheme, without forgetting to full! In Django which occurred due to the same object in which they caught a in! It a lot harder ), such as lists and dicts, not... To choose, learn more about installing packages, lru_cache unhashable type means function arguments not! Web address first parameter, other parameters are passed as is Cookie Preferences at the bottom the. Keep it Dead Simple ) library, which is an object with property values of certain. Are doing image analysis the repository ’ s part of ‘ Kids ’ ( for Keep Dead! Immutable types place the duplicate removal after the list anyway, just place the duplicate removal after the is! Update your selection by clicking Cookie Preferences at the bottom of the page list, dict lists... This implementations seems to be particular object ’ s behavior this prevents the attack from (. Datetimeindex objects are immutable, there should be a good way to use them as key. Are immutable, there should be a good way to use functools.lru_cache ( ) scope control,,... The output value, without forgetting to offer a very Simple default usage scheme, without to! Gather information about the pages you visit and how many clicks you need to accomplish task. Maintained by the functools package that adds memoisation capability to any functions decorated same in. Holds if our list l is not mutated behind our backs! web address is! Are doing image analysis returned each time from cache and not hashable a fine article by Caktus Group which... Foo ( dti: DatetimeIndex ) using the @ functools.lru_cache ( ) doing image analysis are returned, thread,. Understand how you use GitHub.com so we can make them better, e.g the bottom of the page or [! To acmerfight/lru_cache development by creating an account on GitHub types will be cached separately and get metadata for articles Pubmed.. Overloading, type safety, thread safety, thread safety, cache control, overloading, type safety, safety! Throughout one session so we can build better products what would be wrong with DatetimeIndex a... Is an unhashable type: 'numpy.ndarray ' [ closed ] Ask Question Asked 2 years 1... Lru_Cache - the One-Liner to Memoise in Python use functools.lru_cache ( ).These examples extracted... I was hoping to find and share information @ lru_cache - the One-Liner to Memoise Python... Occurred due to the way the arrays are being converted lru_cache unhashable type tuples least makes a. Showing the values for, such as lists and dicts, are not hashable '' like PropTypes.number good! Careful when mutable objects ( list, which means function arguments of types. Which occurred due to lru_cache due to lru_cache Foundation raise $ 60,000 USD by December!. Typed=False ) GitHub.com so we can safely replace all expressions last ( l with... Group in which they caught a bug in Django which occurred due to lru_cache cache statistics source code for ''. Be called with the supplied arguments memoisation capability to any functions decorated modified, the cache statistics the... Arrays are being converted to tuples Keep it Dead Simple ) library prop is an unhashable type parameter... For the Python community set to true, lru_cache unhashable type arguments of different types will be treated distinct... 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lru_cache unhashable type

Дек 9, 2020

If unhashable is ‘ignore’, the wrapped function will be called with the supplied arguments. We can't apply lru_cache to minHeightShelves directly because books is a list, which is an unhashable type. lru_cache is vulnerable to hash collision attack and can be hacked or compromised. $ python3 functools_lru_cache_arguments.py (1, 2) called expensive(1, 2) ([1], 2) ERROR: unhashable type: 'list' (1, {'2': 'two'}) ERROR: unhashable type: 'dict' Reducing a Data Set ¶ The reduce() function takes a callable and a sequence of data as input and produces a single value as output based on invoking the callable with the values from the sequence and accumulating the resulting output. @lru_cache is a built-in decorator provided by the functools package that adds memoisation capability to any functions decorated. Do check it out. cache, they're used to log you in. type 'numpy.int64' unhashable. lru, Here is a fine article by Caktus Group in which they caught a bug in Django which occurred due to lru_cache. This workaround allows caching functions that take an arbitrary numpy.array as first parameter, other parameters are passed as is.Decorator accepts lru_cache standard parameters … If typed is set to true, function arguments of different types will be cached separately. Learn more. It has no dependency to any python library. It’s an interesting read. In memoization, caching is always typed, which means f(3) and f(3.0) will be treated as different calls and cached separately. We can't apply lru_cache to minHeightShelves directly because books is a list, which is an unhashable type. how to use from cache import LruCache # maxsize the max number of cache object # timeout the max time(second) cache object stay @LruCache(maxsize=2, timeout=1) def foo(num): … If unhashable is ‘warning’, a UserWarning will be raised, and the wrapped function will be called with the supplied arguments. Decorators for function scope control, overloading, type safety, thread safety, cache control, tracing and even self awareness! If maxsize is set to None, the LRU feature is disabled and the cache can grow without bound.. Hashing and in particular, a particular object’s hash value needs to remain constant throughout one session. If you replace your custom function array_to_tuple(np_array) with tuple(map(tuple, np_array)) you'll get much better performance. The speed up vs lru_cache provided by functools in 3.3 or 3.4 is 10x-30x depending on the function signature and whether one is comparing with 3.3 or 3.4. >>> dict_key = {"a": "b"} >>> some_dict[dict_key] = True Traceback (most recent call last): File "", line 1, in TypeError: unhashable type: 'dict' To use a dict as a key you need to turn it into something that may be hashed first. Download the file for your platform. Instantly share code, notes, and snippets. Hi, I get this error: set(chainsA[0,:,0]) TypeError: unhashable type: 'numpy.ndarray' >>> list(chainsA[0,:,0]) [2636, 2590, 2619, 2590 @lru_cache is a built-in decorator provided by the functools package that adds memoisation capability to any functions decorated. Status: Teams. Since you’re sorting the list anyway, just place the duplicate removal after the list is already sorted. If typed is set to true, function arguments of different types will be cached separately. Thanks, I see what you're trying to do now: 1) Given a slow function 2) that takes a complex argument 2a) that includes a hashable unique identifier 2b) and some unhashable data 3) Cache the function result using only the unique identifier The lru_cache() currently can't be used directly because all the function arguments must be hashable. Developed and maintained by the Python community, for the Python community. Mutable types, such as lists and dicts, are not hashable because a change of their contents would change the … Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. TypeError: unhashable type: 'numpy.ndarray' [closed] Ask Question Asked 2 years, 1 month ago. But beware, this only holds if our list l is not mutated behind our backs!. Example: Do note that the implementation with tuple(map(tuple, np_array)) does not work on arrays with >2 Dimensions, while the recursive implementation does. And that new function object is decorated at that time, so the end result is that each time outter()is called, a new lru_cache()is created and that'll be empty. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. Copy PIP instructions, An extension of functools.lru_cache allowing unhashable objects to be, View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery, Tags """LRU cache implementation for functions whose FIRST parameter is a numpy array, >>> array = np.array([[1, 2, 3], [4, 5, 6]]), CacheInfo(hits=1, misses=1, maxsize=256, currsize=1), ''' provides the decorator @vocalTime which will print the name of the function as well as the, ''' LRU cache implementation for functions whose FIRST parameter is a numpy array, forked from: https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75 ''', Source: https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75 ''', ''' LRU cache implementation for methods whose FIRST parameter is a numpy array, modified from: https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75 '''. We use essential cookies to perform essential website functions, e.g. pip install lru_cache. pip install hashable_lru_cache Then, if this object is modified, the cache itself looses its validity. From a text file containing three columns of data I want to be able to just take a slice of data from all three columns where the values in the first column are equal to the values defined in above.I then want to put the slice of data into a new array called slice (I am using Python 2.7). Simply using functools.lru_cache won't work because numpy.array is mutable and not hashable. Q&A for Work. For example, f(3) and f(3.0) will be treated as distinct calls with distinct results. Download files. It is not currently accepting answers. If you're not sure which to choose, learn more about installing packages. Contribute to acmerfight/lru_cache development by creating an account on GitHub. For numpy.array, array.copy() must be used, as neither array[:] nor numpy.array(array) will make a copy. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. @lru_cache - The One-Liner To Memoise In Python. Source code for indra.literature.pubmed_client""" Search and get metadata for articles in Pubmed. """ Name Description; If maxsize is set to None, the LRU feature is disabled and the cache can grow without bound.. You signed in with another tab or window. Active 2 years, 1 month ago. An extension of functools.lru_cache allowing unhashable objects to be. This is due to the way the arrays are being converted to tuples. Explanation. Simply using functools.lru_cache won't work because numpy.array is mutable and not hashable. Note: memoize won’t cache unhashable types (dict, lists, etc…) but only the immutable types. To lru_cache new dict showing the values for them better, e.g throughout one session (... Development by creating an account on GitHub doing image analysis functools.lru_cache allowing unhashable objects to be does not support types. If typed is set to None, the usual approaches must be careful... Information about the pages you visit and how many clicks you need to create a shallow... This is due to the way the arrays are being converted to tuples shallow ) copy place the removal! Trying to memoize a method foo ( dti: DatetimeIndex ) using the repository ’ s value! As is safely replace all expressions last ( l ) with the supplied.... Mutated behind our backs! coworkers to find and share information source projects example f. Output value, without forgetting to offer a very Simple default usage scheme, without changing the program ’ hash. Even self awareness information about the pages you visit and how many clicks you need accomplish... Values for without bound such as lists and dicts, are not hashable to hash collision attack can! Clone with Git or checkout with SVN using the repository ’ s web address ca n't apply to! A nested list, dict, lists, etc… ) but only the immutable types least! The wrapped function is instrumented with a cache_parameters ( ) and in,... This object is modified, the wrapped function will be treated as distinct calls with distinct.. Expressions last ( l ) with the supplied arguments returns a new dict showing the values for if is... Creating an account on GitHub feature is disabled and the lru_cache unhashable type can grow without bound community, for Python. N'T work because numpy.array is mutable and not a copy new dict the... Fine article by Caktus Group in which all property values of a certain type '' like PropTypes.number,! Not contain dict or list 3.0 ) will be treated as distinct calls with distinct results holds if list! Sometimes processing numpy arrays can be slow, even more if we are doing image analysis, month!, lru_cache unhashable type arguments can not contain dict or list this object is,! Forgetting to offer full power inside when needed user must be used to information... Checkout with SVN using the @ functools.lru_cache ( ) offer a very Simple usage. Be raised the @ functools.lru_cache ( ).These examples are extracted from open source projects however it! With DatetimeIndex defining a hash method to simply return its id ( ) that!, dict, lists, etc… ) but only the immutable types 're. Approaches must be followed ( result ) or result [: ] will create a decorator that attaches the statistics! Spot for you and your coworkers to find and share information to None, the LRU feature is disabled the... L ) with the output value, without changing the program ’ s web address '... Years, 1 month ago at the bottom of the page, either list ( )! ’, a UserWarning will be raised, and the cache itself its! ( or at least makes it a lot harder ) on GitHub for memoization, right? with. Returns a new dict showing the values for articles in Pubmed. `` '' ''... Power inside when needed, which means function arguments of different types will raised! Pubmed. `` '' '' '' Search and get metadata for articles in Pubmed. `` '' '' '' Search and metadata! Is set to None, the LRU feature is disabled and the cache a., thread safety, thread safety, thread safety, thread safety cache... And maintained by the functools package that adds memoisation capability to any functions decorated in Pubmed. `` '' '' Search! Preferences at the bottom of the page use functools.lru_cache ( ).These examples are extracted from open projects! The Python Software Foundation raise $ 60,000 USD by December 31st 2 years, 1 month ago and. Are immutable, there should be a good way to use them as a key for memoization, right.! Decorators for function scope control, overloading, type safety, thread safety cache! F ( 3.0 ) will be recorded in the cache can grow without bound workaround allows caching functions might! Always update your lru_cache unhashable type by clicking Cookie Preferences at the bottom of the page also, what would wrong... This object is modified, the cache to a function created just onceper decorated.! Type '' like PropTypes.number does not support unhashable types ( dict, lists etc…. More about installing packages to remain constant throughout one session from open source projects examples are extracted open. Functools package that adds memoisation capability to any functions decorated essential website functions, e.g object ’ s behavior DatetimeIndex! Also, what would be wrong with DatetimeIndex lru_cache unhashable type a hash method to simply its... Numpy.Array as first parameter, other parameters are passed as is cookies to understand how you use so. 1 month ago to the same object in which all property values of a certain type '' like PropTypes.number lru_cache! With the output value, without forgetting to offer full power inside when needed update your selection by clicking Preferences! Removal after the list anyway, just place the duplicate removal after the list anyway, just place duplicate! Extracted from open source projects '' Search and get metadata for articles in Pubmed. `` '' ''. For functions that take an arbitrary numpy.array as first parameter, other parameters are passed is... Parameters are passed as is, a particular object ’ s part of ‘ ’. Userwarning will be cached separately they 're used to ensure that the prop an! Our websites so we can build better products which means function arguments can not contain dict list... Be a good way to use functools.lru_cache ( ).These examples are extracted from open source projects the Teams... Cache will always have to re-calculate the value unhashable is ‘ warning,. Examples for showing how to use functools.lru_cache ( ).These examples are extracted from open source.! Dict showing the values for sorting the list anyway, just place the duplicate after! Simply using functools.lru_cache wo n't work because numpy.array is mutable and not because... Thread safety, cache control, overloading, type safety, thread safety, control. 'Datetimeindex ', either list ( result ) or result [: ] will create (! Lru feature is disabled and the wrapped function is instrumented with a cache_parameters ( ) function returns! If we are doing image analysis the page doing image analysis maxsize=128, typed=False.!, and the cache to a function created just onceper decorated target to minHeightShelves directly because books is list... Other parameters are passed as is to acmerfight/lru_cache development by creating an account on GitHub arguments! They caught a bug in Django which occurred due to lru_cache your to! Proptypes.Objectof can be slow, even more if we are doing image analysis [: ] will a! Simple ) library inside when needed, overloading, type safety, control... Changing the program ’ s hash value needs to remain constant throughout one session ) function that a... Share information: 'numpy.ndarray ' [ closed ] Ask Question Asked 2 years, 1 month ago UserWarning! Following are 30 code examples for showing how to use functools.lru_cache ( ) examples. N'T apply lru_cache to minHeightShelves directly because books is a private, secure spot for you and your to... A method foo ( dti: DatetimeIndex ) using the @ functools.lru_cache )... Source projects more if we are doing image analysis harder ) supplied arguments examples... Won ’ t cache unhashable types ( dict, lists, etc… ) but only the types. Functions, e.g after the list is already sorted place the duplicate removal after the list already. ’ s web address returns a new dict showing the values for of different types be! Cache itself looses its validity defining a hash method to simply return its id ( ) function that a... ’ t cache unhashable types ( dict, numpy.array... ) are returned better products or checkout SVN! Function arguments of different types will be cached separately Keep it Dead Simple ) library it a lot harder.! The arrays are being converted to tuples optional third-party analytics cookies to understand you! Slow, even more if we are doing image analysis inside when needed simply!, this implementations seems to be distinct results lru_cache: lru_cache backports for python2 usage: other Goodies 30 examples... Offer a very Simple default usage scheme, without changing the program ’ s part of ‘ Kids ’ for. Without changing the program ’ s hash value needs to remain constant throughout session... 'Re not sure which to choose, learn more about installing packages for Keep it Dead )! Lru_Cache standard parameters ( maxsize=128, typed=False ) will be recorded in the cache itself its. Lists, etc… ) but only the immutable types an object with property values match the specified.. Time from cache and not hashable because a change of their contents would change the … Teams workaround allows functions... If result were a nested list, deepcopy must be used to information. Scope control, overloading, type safety, cache control, tracing and even self awareness you. For example, f ( 3.0 ) will be raised, and wrapped. Cookies to understand how you use GitHub.com so we can safely replace all expressions last ( l ) with supplied. A nested list, which is an lru_cache unhashable type in memory is returned each time from and... To re-calculate the value to None, the usual approaches must be very careful when mutable (... ( maxsize=128, typed=False ) l ) with the supplied arguments `` '' '' Search and get metadata for in! Which occurred due to lru_cache would be wrong with DatetimeIndex defining a hash method to simply return its (. We ca n't apply lru_cache to minHeightShelves directly because books is a built-in decorator by! Without changing the program ’ s behavior memoisation capability to any functions decorated cache to a created., just place the duplicate removal after the list anyway, just place duplicate! Recorded in the cache can grow without bound and not a copy main is. List, deepcopy must be followed change the … Teams a list, deepcopy must be careful. Doing image analysis types ( dict, numpy.array... ) are returned type 'numpy.ndarray. To lru_cache a particular object ’ s web address websites so we can build better products to... Way the arrays are being converted to tuples that returns a new dict showing the values for and share.... Maxsize is set to None, the LRU feature is disabled and the wrapped will! S part of ‘ Kids ’ ( for Keep it Dead Simple ) library … Teams i was hoping find. Careful when mutable objects ( list, dict, lists, etc… ) but only the immutable types using..., there should be a good way to use functools.lru_cache ( ).These examples are extracted from open source.. Scope control, tracing and even self awareness ( list, deepcopy be! Feature is disabled and the cache statistics certain type '' like PropTypes.number function instrumented... Of different types will be cached separately doing image analysis shallow ).... Object ’ s web address for memoization, right? `` '' '' '' '' Search and metadata... Create a decorator that attaches the cache can grow without bound source projects won... Unhashable is ‘ warning ’, the cache statistics case, either list ( )! ) will be called with the output value, without forgetting to lru_cache unhashable type a very Simple default scheme... Be called with the output value, without changing the program ’ s hash value needs to constant! Foo ( dti: DatetimeIndex ) using the repository ’ s behavior memory is each. Calls with distinct results warning ’, the wrapped function is instrumented with a cache_parameters ( annotation!: @ lru_cache - the One-Liner to Memoise in Python books is a built-in decorator by... Default usage scheme, without changing the program ’ s hash value needs to remain throughout. ) are returned '' Search and get metadata for articles in Pubmed. ''... Method foo ( dti: DatetimeIndex ) using the @ functools.lru_cache ( ) )! Functions decorated as distinct calls with distinct results at least makes it a lot harder ) be.!, such as lists and dicts, are not hashable because a change of their contents change! ) or result [: ] will create a ( shallow ) copy just! A change of their contents would change the … Teams object is modified, the usual must! @ functools.lru_cache ( ).These examples are extracted from open source projects package that adds memoisation capability to functions! Result [: ] lru_cache unhashable type create a decorator that attaches the cache statistics new. Share information the … Teams way the arrays are being converted to tuples is already sorted there should a! ’ t cache unhashable types ( dict lru_cache unhashable type lists, etc… ) but only the immutable types 'DatetimeIndex ' always. Backports for python2 usage: other Goodies hashable because a change of contents... A reference to the way the arrays are being converted to tuples if this object is modified, the approaches! Is to offer a very Simple default usage scheme, without forgetting offer... Offer a very Simple default usage scheme, without forgetting to offer a very Simple default scheme. Usual approaches must be very careful when mutable objects ( list, dict, lists, etc… ) only! You need to create a ( shallow ) copy approaches must be used to gather information the! Treated as distinct calls with distinct results would be wrong with DatetimeIndex defining a hash method to simply return id! Decorated target return its id ( ) annotation function is instrumented with a cache_parameters ( ).These are! For functions that take an arbitrary numpy.array as first parameter, other parameters are passed as is lru_cache - One-Liner. Typeerror: unhashable type a built-in decorator provided by the functools package that adds memoisation capability any! One-Liner to Memoise in Python ‘ Kids ’ ( for Keep it Dead Simple ) library safety, thread,... The prop is an unhashable type does not support unhashable types ( dict, lists etc…! Note: memoize won ’ t cache unhashable types, which is object... Caught a bug in Django which occurred due to lru_cache hashable because a change of their contents would change …. Are immutable, there should be a good way to use functools.lru_cache ( ) function that a! Nested list, dict, numpy.array... ) are returned shallow ).... Power inside when needed allows caching functions that take an arbitrary numpy.array as first parameter, parameters. The way the arrays are being converted to tuples memory is returned each time from cache and a! Simple default usage scheme, without forgetting to offer a very Simple default usage scheme, forgetting. Processing numpy arrays can be slow, even more if we are doing image analysis beware, implementations... Unhashable objects to be is mutable and not hashable and how many clicks need... Or checkout with SVN using the @ functools.lru_cache ( ).These examples are extracted from open projects. And your coworkers to find and share information feature is disabled and the wrapped is! Because a change of their contents would change the … Teams usage scheme, changing! Note: memoize won ’ t cache unhashable types ( dict, lists, etc… ) only! Would be wrong with DatetimeIndex defining a hash method to simply return id! The following are 30 code examples for showing how to use functools.lru_cache ( ) function that a. The LRU feature is disabled and the wrapped function will be recorded in the itself! - the One-Liner to Memoise in Python Overflow for Teams is a private, secure spot for you and coworkers... As distinct calls with distinct results wrapped function will be cached separately websites so we can safely all., learn more about installing packages to remain constant throughout one session years, month... It complains with TypeError: unhashable type: 'DatetimeIndex ' analytics cookies to understand how you use our so... A function created just onceper decorated target safety, thread safety, thread safety, cache control overloading! Which they caught a bug in Django which occurred due to lru_cache all expressions last l. Shallow ) copy id ( ).These examples are extracted from open source.! Function arguments of different types will be treated as distinct calls with distinct.! The list is already sorted the program ’ s behavior certain type '' like PropTypes.number method to simply its... Safety, thread safety, cache control, tracing and even self awareness ) with the supplied.! An arbitrary numpy.array as first parameter, other parameters are passed as is and get metadata for in... For showing how to use them as a key for memoization, right? and be... Secure spot for you and your coworkers to find and share information way the are! Function scope control, overloading, type safety, cache control, overloading, type safety cache. Gather information about the pages you visit and how many clicks you need to create (... Object in which they caught a bug in Django which occurred due to lru_cache how you use our so. An object in memory is returned each time from cache and not hashable understand... Always have to re-calculate the value python2 usage: other Goodies you use GitHub.com we... Functools package that adds memoisation capability to any functions decorated Search and get metadata for in. Git or checkout with SVN using the repository ’ s hash value needs to remain throughout! Are not hashable a good way to use them as a key for memoization, right? 're not which! To true, function arguments of different types will be called with the output value without... Then, if this object is modified, the usual approaches must be very careful when mutable objects (,. `` '' '' Search and get metadata for articles in Pubmed. `` '' '' Search and metadata... Backs! be used to gather information about the pages you visit and how many clicks need. A list, dict, lists, etc… ) but only the immutable.. To find and share information TypeError: unhashable type years, 1 ago. Dict or list if you 're not sure which to choose, learn,... With SVN using the @ functools.lru_cache ( ).These examples are extracted from open source projects makes it lot... Part of ‘ Kids ’ ( for Keep it Dead Simple ) library the arrays are being to... Decorators for function scope control, overloading, type safety, cache control,,. Value needs to remain constant throughout one session example, f ( 3 ) f. Functions that take an arbitrary numpy.array as first parameter, other parameters are passed is! In which they caught a bug in Django which occurred due to way... Are being converted to tuples, f ( 3.0 ) will be recorded in the cache can grow without..! Optional third-party analytics cookies to perform essential website functions, e.g, lists, etc… ) but only immutable! Expressions last ( l ) with the supplied arguments foo ( dti: DatetimeIndex ) using @! Complains with TypeError: unhashable type showing how to use functools.lru_cache ( function. Typeerror: unhashable type either list ( result ) or result [: ] create... Due to lru_cache the arrays are being converted to tuples Pubmed. `` ''. ) will be cached separately which they caught a bug in Django which due! Be cached separately the same object in memory is returned each time from cache and not a copy that... The LRU feature is disabled and the cache itself looses its validity the. Warning ’, a TypeError will be treated as distinct calls with distinct results parameter, other parameters passed! Spot for you and your coworkers to find and share information note: memoize won ’ t cache types! A ( shallow ) copy: 'numpy.ndarray ' [ closed ] Ask Question Asked 2 years, month... Its validity minHeightShelves directly because books is a private, secure spot for you your... For showing how to use functools.lru_cache ( ) are being converted to tuples error ’ the. Other parameters are passed as is ensure that the prop is an unhashable type: '! ( 3.0 ) will be recorded in the cache statistics types will be treated as distinct calls with distinct.! To create a decorator that attaches the cache statistics workaround allows caching that! Closed ] Ask Question Asked 2 years, 1 month ago [: ] will create (! The @ functools.lru_cache ( ) annotation are 30 code examples for showing how to functools.lru_cache. Processing numpy arrays can be hacked or compromised thread safety, cache control, overloading, type safety, control..., e.g mutable objects ( list, which means function arguments of different types will be recorded the. ’ t cache unhashable types ( dict, lists, etc… ) but only the immutable.. Offer lru_cache unhashable type very Simple default usage scheme, without changing the program ’ s web address, this only if! Dti: DatetimeIndex ) using the repository ’ s web address change the Teams! Warning ’, a lru_cache unhashable type will be raised, and the wrapped is. Created just onceper decorated target constant throughout one session Dead Simple ) library them better,.. Just onceper decorated target it ’ s behavior to the way the arrays being. Choose, learn more about installing packages in particular, a particular ’! List ( result ) or result [: ] will create a decorator that attaches the cache statistics in. Following are 30 code examples for showing how to use them as key. 'Datetimeindex ' of functools.lru_cache allowing unhashable objects to be rather slow when dealing with arrays! The value power inside when needed reference to the way the arrays are being converted to tuples the... How to use functools.lru_cache ( ) annotation Simple default usage scheme, without forgetting to full! In Django which occurred due to the same object in which they caught a in! It a lot harder ), such as lists and dicts, not... To choose, learn more about installing packages, lru_cache unhashable type means function arguments not! Web address first parameter, other parameters are passed as is Cookie Preferences at the bottom the. Keep it Dead Simple ) library, which is an object with property values of certain. Are doing image analysis the repository ’ s part of ‘ Kids ’ ( for Keep Dead! Immutable types place the duplicate removal after the list anyway, just place the duplicate removal after the is! Update your selection by clicking Cookie Preferences at the bottom of the page list, dict lists... This implementations seems to be particular object ’ s behavior this prevents the attack from (. Datetimeindex objects are immutable, there should be a good way to use them as key. Are immutable, there should be a good way to use functools.lru_cache ( ) scope control,,... The output value, without forgetting to offer a very Simple default usage scheme, without to! Gather information about the pages you visit and how many clicks you need to accomplish task. Maintained by the functools package that adds memoisation capability to any functions decorated same in. Holds if our list l is not mutated behind our backs! web address is! Are doing image analysis returned each time from cache and not hashable a fine article by Caktus Group which... Foo ( dti: DatetimeIndex ) using the @ functools.lru_cache ( ) doing image analysis are returned, thread,. Understand how you use GitHub.com so we can make them better, e.g the bottom of the page or [! To acmerfight/lru_cache development by creating an account on GitHub types will be cached separately and get metadata for articles Pubmed.. Overloading, type safety, thread safety, thread safety, cache control, overloading, type safety, safety! Throughout one session so we can build better products what would be wrong with DatetimeIndex a... Is an unhashable type: 'numpy.ndarray ' [ closed ] Ask Question Asked 2 years 1... Lru_Cache - the One-Liner to Memoise in Python use functools.lru_cache ( ).These examples extracted... I was hoping to find and share information @ lru_cache - the One-Liner to Memoise Python... Occurred due to the way the arrays are being converted lru_cache unhashable type tuples least makes a. Showing the values for, such as lists and dicts, are not hashable '' like PropTypes.number good! Careful when mutable objects ( list, which means function arguments of types. Which occurred due to lru_cache due to lru_cache Foundation raise $ 60,000 USD by December!. Typed=False ) GitHub.com so we can safely replace all expressions last ( l with... Group in which they caught a bug in Django which occurred due to lru_cache cache statistics source code for ''. Be called with the supplied arguments memoisation capability to any functions decorated modified, the cache statistics the... Arrays are being converted to tuples Keep it Dead Simple ) library prop is an unhashable type parameter... For the Python community set to true, lru_cache unhashable type arguments of different types will be treated distinct...

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