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def hashfeatures ( baby , d , FIX, debug = False ) : Input: baby : a string representing the baby's name

def hashfeatures(baby, d, FIX, debug=False):
"""
Input:
baby : a string representing the baby's name to be hashed
d: the number of dimensions to be in the feature vector
FIX: the number of chunks to extract and hash from each string
debug: a bool for printing debug values (default False)
Output:
v: a feature vector representing the input string
"""
v = np.zeros(d)
for m in range(1, FIX+1):
prefix = baby[:m]+">"
P = hash(prefix)% d
v[P]=1
suffix ="<"+ baby[-m:]
S = hash(suffix)% d
v[S]=1
if debug:
print(f"Split {m}/{FIX}:\t({prefix},{suffix}),\t1s at indices [{P},{S}]")
if debug:
print(f"Feature vector for {baby}:
{v.astype(int)}
")
return v

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