# sympy__sympy-13146

> Based on my understanding of the SymPy codebase and this issue, the problem is in how Float objects are hashed. When two Float objects have the same _mpf_ 

- Source: https://doutorai.pt/en/components/skills__sympy-sympy-13146
- Type: Skills
- Category: AI research
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## Content

```
Based on my understanding of the SymPy codebase and this issue, the problem is in how Float objects are hashed. When two Float objects have the same `_mpf_` value but different `_prec` (precision) values, they hash differently, which prevents the `Add` class from combining them as like terms.

The fix is to modify the `__hash__` method of the `Float` class in `sympy/core/numbers.py` to only hash based on `_mpf_`, not `_prec`.

Here is the patch:

--- a/sympy/core/numbers.py
+++ b/sympy/core/numbers.py
@@ -855,7 +855,7 @@ class Float(Number):
         return mlib.to_str(self._mpf_, n_digits, st

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```

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