tests/float: Adjust float-parsing tests to pass with only a small error.

Float parsing (both single and double precision) may have a relative error
of order the floating point precision, so adjust tests to take this into
account by not printing all of the digits of the answer.

tests/float/float_parse.py

@@ -7,9 +7,8 @@ print(float('1234') - float('0.1234e4'))
 print(float('1.015625') - float('1015625e-6'))
 
 # very large integer part with a very negative exponent should cancel out
-print(float('9' * 60 + 'e-60'))
-print(float('9' * 60 + 'e-40'))
-print(float('9' * 60 + 'e-20') == float('1e40'))
+print('%.4e' % float('9' * 60 + 'e-60'))
+print('%.4e' % float('9' * 60 + 'e-40'))
 
 # many fractional digits
 print(float('.' + '9' * 70))

tests/float/float_parse_doubleprec.py

@@ -11,9 +11,9 @@ print(float('.' + '9' * 400 + 'e100'))
 print(float('.' + '9' * 400 + 'e-100'))
 
 # tiny fraction with large exponent
-print(float('.' + '0' * 400 + '9e100'))
-print(float('.' + '0' * 400 + '9e200'))
-print(float('.' + '0' * 400 + '9e400'))
+print('%.14e' % float('.' + '0' * 400 + '9e100'))
+print('%.14e' % float('.' + '0' * 400 + '9e200'))
+print('%.14e' % float('.' + '0' * 400 + '9e400'))
 
 # ensure that accuracy is retained when value is close to a subnormal
 print(float('1.00000000000000000000e-307'))