File "sklearn\linear_model\_cd_fast.pyx", line 568, in sklearn.linear_model._cd_fast.enet_coordinate_descent_gram
  File "stringsource", line 660, in View.MemoryView.memoryview_cwrapper
  File "stringsource", line 350, in View.MemoryView.memoryview.__cinit__
ValueError: buffer source array is read-only
"""

The above exception was the direct cause of the following exception:

ValueError                                Traceback (most recent call last)
Cell In [16], line 13
      4 #out = dict_learning_online(x_train[np.random.choice(a=50000, size=10000)].reshape(10000, 3072), n_components=3072)
      5 dict_learner = DictionaryLearning(
      6     n_components= 56,
      7     random_state=0,
   (...)
     11     max_iter= 50
     12 )
---> 13 s_train = dict_learner.fit_transform(x_train.reshape(50000, 3072))

File c:\Users\shafi\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\utils\_set_output.py:142, in _wrap_method_output.<locals>.wrapped(self, X, *args, **kwargs)
    140 @wraps(f)
    141 def wrapped(self, X, *args, **kwargs):
--> 142     data_to_wrap = f(self, X, *args, **kwargs)
    143     if isinstance(data_to_wrap, tuple):
    144         # only wrap the first output for cross decomposition
    145         return (
    146             _wrap_data_with_container(method, data_to_wrap[0], X, self),
    147             *data_to_wrap[1:],
    148         )

File c:\Users\shafi\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\utils\_set_output.py:142, in _wrap_method_output.<locals>.wrapped(self, X, *args, **kwargs)
    140 @wraps(f)
    141 def wrapped(self, X, *args, **kwargs):
--> 142     data_to_wrap = f(self, X, *args, **kwargs)
    143     if isinstance(data_to_wrap, tuple):
    144         # only wrap the first output for cross decomposition
    145         return (
    146             _wrap_data_with_container(method, data_to_wrap[0], X, self),
    147             *data_to_wrap[1:],
    148         )

File c:\Users\shafi\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\utils\_set_output.py:142, in _wrap_method_output.<locals>.wrapped(self, X, *args, **kwargs)
    140 @wraps(f)
    141 def wrapped(self, X, *args, **kwargs):
--> 142     data_to_wrap = f(self, X, *args, **kwargs)
    143     if isinstance(data_to_wrap, tuple):
    144         # only wrap the first output for cross decomposition
    145         return (
    146             _wrap_data_with_container(method, data_to_wrap[0], X, self),
    147             *data_to_wrap[1:],
    148         )

File c:\Users\shafi\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\base.py:848, in TransformerMixin.fit_transform(self, X, y, **fit_params)
    844 # non-optimized default implementation; override when a better
    845 # method is possible for a given clustering algorithm
    846 if y is None:
    847     # fit method of arity 1 (unsupervised transformation)
--> 848     return self.fit(X, **fit_params).transform(X)
    849 else:
    850     # fit method of arity 2 (supervised transformation)
    851     return self.fit(X, y, **fit_params).transform(X)

File c:\Users\shafi\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\decomposition\_dict_learning.py:1719, in DictionaryLearning.fit(self, X, y)
   1716 else:
   1717     n_components = self.n_components
-> 1719 V, U, E, self.n_iter_ = dict_learning(
   1720     X,
   1721     n_components,
   1722     alpha=self.alpha,
   1723     tol=self.tol,
   1724     max_iter=self.max_iter,
   1725     method=self.fit_algorithm,
...
--> 389         raise self._exception
    390     else:
    391         return self._result

ValueError: buffer source array is read-only