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def generate_inverse_transformations(left,right): | |
#????? | |
return (lambda x: x, lambda x: x) | |
left_form = { | |
'key': 'abc123', | |
'name': {'first': 'joe', 'last': 'stein'}, | |
'triples': {1: 3, 2: 6, 3: 9, 4: 12, 5: 15}, | |
'opposites': [('low','high'),('big','small')] | |
} | |
right_form = { | |
'uuid': 'abc123', | |
'first_name': 'joe', | |
'last_name': 'stein', | |
'triple_tuples': [(1, 3), (2, 6), (3, 9), (4, 12), (5, 15)], | |
'opposites': [{'first': 'low', 'second': 'high'}, {'first': 'big', 'second': 'small'}] | |
} | |
#IMPLEMENT generate_inverse_transformations() | |
# So that, when: | |
#f, g = generate_inverse_transformations(left_form, right_form) | |
# THEN: | |
#f(left) == right | |
#g(right) == left | |
#f(g(right)) == right | |
# For any (left, right) of the same structure as left_form and right_form | |
#More specifically, if we have: | |
specific_input = { | |
'key': 'defghi', | |
'name': {'first': 'slug', 'last': 'ant'}, | |
'triples': {1:2, 3:4}, | |
'opposites': [] | |
} | |
#Then, f(specific) should yield: | |
specific_output = { | |
'uuid': 'defghi', | |
'first_name': 'slug', | |
'last_name': 'ant', | |
'triple_tuples': (1,2), (3,4)}, | |
'opposites': [] | |
} |
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