ValueError: Buffer dtype mismatch, expected 'npy_intp' but got 'long'

[trinayanbharadwaj]

While following the model training guide, ran into this error.

ValueError                                Traceback (most recent call last)
Input In [10], in <cell line: 1>()
----> 1 clf = trunk.train_sp(X, y, n_iter=5, verbose=2)

File ~\indic-trans\indictrans\trunk\__init__.py:69, in train_sp(X, y, n_iter, lr_exp, random_state, verbose)
     65 def train_sp(X, y, n_iter=10, lr_exp=0.1,
     66              random_state=37, verbose=0):
     67     clf = StructuredPerceptron(random_state=random_state,
     68                                n_iter=n_iter, verbose=verbose)
---> 69     clf.fit(X, y)
     70     return clf

File ~\indic-trans\indictrans\trunk\perceptron.py:149, in StructuredPerceptron.fit(self, X, y)
    146 Y_diff *= -lr
    147 w_update = Y_diff.T * X_i
--> 149 t_trans = count_tranxn(y_t_i, n_classes)
    150 p_trans = count_tranxn(y_pred, n_classes)
    151 b_trans_update = lr * (p_trans - t_trans)

File ~\indic-trans\indictrans\_utils\ctranxn.pyx:7, in indictrans._utils.ctranxn.count_tranxn()
      5 np.import_array()
      6 
----> 7 @cython.boundscheck(False)
      8 @cython.wraparound(False)
      9 def count_tranxn(np.ndarray[ndim=1, dtype=np.npy_intp] y, n_classes):

ValueError: Buffer dtype mismatch, expected 'npy_intp' but got 'long'