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gh-39508: Fix some typo Just some trivial typo. The remaining occurrences of `trac` should be changed to `issue` instead, but that's the topic for another pull request. ### 📝 Checklist <!-- Put an `x` in all the boxes that apply. --> - [x] The title is concise and informative. - [x] The description explains in detail what this PR is about. - [ ] I have linked a relevant issue or discussion. - [ ] I have created tests covering the changes. - [x] I have updated the documentation and checked the documentation preview. ### ⌛ Dependencies <!-- List all open PRs that this PR logically depends on. For example, --> <!-- - #12345: short description why this is a dependency --> <!-- - #34567: ... --> URL: #39508 Reported by: user202729 Reviewer(s): Frédéric Chapoton
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src/sage/rings/padics/factory.py

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@@ -1643,7 +1643,7 @@ class Zp_class(UniqueFactory):
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1 + 2*5^2 + 5^3
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The floating point case is similar to the fixed modulus type
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in that elements do not trac their own precision. However, relative
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in that elements do not track their own precision. However, relative
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precision is truncated with each operation rather than absolute precision.
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On the contrary, the lattice type tracks precision using lattices
@@ -2196,7 +2196,7 @@ def Zq(q, prec=None, type='capped-rel', modulus=None, names=None,
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2*3^2 + (2*a + 2)*3^3
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The floating point case is similar to the fixed modulus type
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in that elements do not trac their own precision. However, relative
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in that elements do not track their own precision. However, relative
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precision is truncated with each operation rather than absolute precision.
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MODULUS:

src/sage/rings/polynomial/binary_form_reduce.py

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@@ -192,7 +192,7 @@ def covariant_z0(F, z0_cov=False, prec=53, emb=None, error_limit=0.000001):
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FM = f # for Julia's invariant
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else:
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# solve the minimization problem for 'true' covariant
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CF = ComplexIntervalField(prec=prec) # keeps trac of our precision error
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CF = ComplexIntervalField(prec=prec) # keeps track of our precision error
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z = CF(z)
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FM = F(list(mat * vector(R.gens()))).subs({R.gen(1): 1}).univariate_polynomial()
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from sage.rings.polynomial.complex_roots import complex_roots

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