import numpy as np

####################################
# Comparison of the 'list'
####################################

# In case of the 'list' data,
# the result of the comparison using '==' and/or '!='
# is whether all the elements meet the condition.
# The result is just 'True' or 'False', not elementwise.

test_data = [[1,2,3],[4,5,6]]
test_data1 = [[0,2,3],[4,5,6]]
actual = [[1,2,3],[4,5,6]]

print(test_data == actual)
# [out] >> True

print(test_data1 == actual)
# [out] >> False

##############################################
# Comparison of the numpy 'ndarray'
##############################################

# In case of the 'ndarray' data,
# the result of the comparison using '==' and/or '!=' is elementwise.
# If you want to check whether all the elements meet the condition,
# use .all() command.

test_data = np.array([1,2,3])
test_data1 = np.array([0,2,3])
actual = np.array([1,2,3])

# element wise comparison
print(test_data == actual)
# [out] >> [True, True, True]
print(test_data1 == actual)
# [out] >> [False, True, True]


# comparison of all the elements
print((test_data == actual).all())
# [out] >> True
print((test_data1 == actual).all())
# [out] >> False