DSL Course 5, Week 1, assignment 2, exercise 4

Course Q&A Deep Learning Specialization Sequence Models
1

When trying to run the code of exercise 4 in the dino assignment, I get the following error message:
TypeError: only size-1 arrays can be converted to Python scalars

I feel that this must be coming from the shape of X and Y, which are both lists, with length of 2, but the following format:
X : [[None], [list of integers]]
Y: [[list of integers], [0]]

Here is my code for both:
# Set the input X (see instructions above)
single_example = examples[idx]
single_example_chars = [c for c in single_example]
single_example_ix = [char_to_ix[c] for c in single_example_chars]
X = [None] + [single_example_ix]

    # Set the labels Y (see instructions above)
    # For example, Y[0] contains the same value as X[1]
    ix_newline = char_to_ix['\n']
    Y = copy.copy(X[1:]) + [ix_newline]

I have tried restarting the kernel, clearing all and rerunning already.

Can you please help?

Thank you!

2

Your last line of code “Y = …” doesn’t look correct. Use the hint from the exercise about an easy way to concatenate two strings.

Also posting your code isn’t good with the course Honor Code. Please edit your post and remove the code. Thanks!