fix potential performance issue caused by language server settings being re-loaded on every keystroke when doing inlay hints

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Diff from mypy_primer, showing the effect of this PR on open source code:

sympy (https://github.com/sympy/sympy)
-     Type of "factor" is "(f: Unknown, ..., deep: bool = False) -> (Unknown | Add | Order | Mul | Expr)" (reportUnknownVariableType)
+     Type of "factor" is "(f: Unknown, ..., deep: bool = False) -> (Unknown | Add | Order | Mul)" (reportUnknownVariableType)
-   /tmp/mypy_primer/projects/sympy/sympy/solvers/tests/test_simplex.py:104:9 - warning: Return type, "tuple[int, list[_NotImplementedType | Unknown | Any | GreaterThan | Equality | Relational | Unequality | LessThan | bool], Any]", is partially unknown (reportUnknownParameterType)
+   /tmp/mypy_primer/projects/sympy/sympy/solvers/tests/test_simplex.py:104:9 - warning: Return type, "tuple[int, list[_NotImplementedType | Unknown | Any | bool], Any]", is partially unknown (reportUnknownParameterType)
-     Type of "constraints" is "list[_NotImplementedType | Unknown | Any | GreaterThan | Equality | Relational | Unequality | LessThan | bool]" (reportUnknownVariableType)
+     Type of "constraints" is "list[_NotImplementedType | Unknown | Any | bool]" (reportUnknownVariableType)
-   /tmp/mypy_primer/projects/sympy/sympy/solvers/tests/test_simplex.py:114:16 - warning: Return type, "tuple[int, list[_NotImplementedType | Unknown | Any | GreaterThan | Equality | Relational | Unequality | LessThan | bool], Any]", is partially unknown (reportUnknownVariableType)
+   /tmp/mypy_primer/projects/sympy/sympy/solvers/tests/test_simplex.py:114:16 - warning: Return type, "tuple[int, list[_NotImplementedType | Unknown | Any | bool], Any]", is partially unknown (reportUnknownVariableType)
-     Type of "system" is "list[_NotImplementedType | StrictLessThan | Unknown | Equality | Relational | Unequality | StrictGreaterThan]" (reportUnknownVariableType)
+     Type of "system" is "list[_NotImplementedType | Unknown]" (reportUnknownVariableType)
-     Type of "system" is "list[_NotImplementedType | StrictLessThan | Unknown | Equality | Relational | Unequality | StrictGreaterThan]" (reportUnknownVariableType)
+     Type of "system" is "list[_NotImplementedType | Unknown]" (reportUnknownVariableType)
-     Argument type is "Generator[_NotImplementedType | StrictLessThan | Unknown | Equality | Relational | Unequality, None, None]" (reportUnknownArgumentType)
+     Argument type is "Generator[_NotImplementedType | Unknown, None, None]" (reportUnknownArgumentType)
-     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Unknown)" (reportUnknownMemberType)
+     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Any)" (reportUnknownMemberType)
-     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Unknown)" (reportUnknownMemberType)
+     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Any)" (reportUnknownMemberType)
-   /tmp/mypy_primer/projects/sympy/sympy/solvers/tests/test_solveset.py:1267:5 - warning: Type of "f1" is partially unknown
-     Type of "f1" is "Expr | Unknown" (reportUnknownVariableType)
-     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Unknown)" (reportUnknownMemberType)
+     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Any)" (reportUnknownMemberType)
-   /tmp/mypy_primer/projects/sympy/sympy/solvers/tests/test_solveset.py:1268:5 - warning: Type of "f2" is partially unknown
-     Type of "f2" is "Expr | Unknown" (reportUnknownVariableType)
-     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Unknown)" (reportUnknownMemberType)
+     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Any)" (reportUnknownMemberType)
-     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Unknown)" (reportUnknownMemberType)
+     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Any)" (reportUnknownMemberType)
-     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Unknown)" (reportUnknownMemberType)
+     Type of "rewrite" is "(..., deep: bool = True) -> (Expr | Any)" (reportUnknownMemberType)
-     Type of "eq" is "_NotImplementedType | GreaterThan | Unknown | Equality | Relational | Unequality" (reportUnknownVariableType)
+     Type of "eq" is "_NotImplementedType | Unknown" (reportUnknownVariableType)
-     Type of "P" is "(condition: Unknown, given_condition: Unknown | None = None, numsamples: Unknown | None = None, evaluate: bool = True, **kwargs: Unknown) -> (Unknown | Any | BernoulliDistribution | Probability | Zero | One | Expr | Float | ComplexInfinity | Rational | NaN | NegativeOne | Integer | Half | Infinity | NegativeInfinity | _NotImplementedType | Self@Expr | tuple[Unknown, ...] | Sum | Order | Piecewise | Basic | Equality | Relational | Unequality | Lambda | Number | int | None)" (reportUnknownVariableType)
+     Type of "P" is "(condition: Unknown, given_condition: Unknown | None = None, numsamples: Unknown | None = None, evaluate: bool = True, **kwargs: Unknown) -> (Unknown | Any | BernoulliDistribution | Probability | Zero | One | Self@Expr | tuple[Unknown, ...] | Sum | Order | NaN | Piecewise | Basic | Equality | Add | ComplexInfinity | Expr | Float | Half | Infinity | Integer | Lambda | NegativeInfinity | NegativeOne | Number | Rational | int | None)" (reportUnknownVariableType)
-     Type of "E" is "(expr: Unknown, condition: Unknown | None = None, numsamples: Unknown | None = None, evaluate: bool = True, **kwargs: Unknown) -> (Unknown | Basic | Expectation | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Relational | Unequality | Integral | ExpectationMatrix | Literal[0] | None)" (reportUnknownVariableType)
+     Type of "E" is "(expr: Unknown, condition: Unknown | None = None, numsamples: Unknown | None = None, evaluate: bool = True, **kwargs: Unknown) -> (Unknown | Basic | Expectation | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Integral | ExpectationMatrix | Literal[0] | None)" (reportUnknownVariableType)
-     Type of "H" is "(expr: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (int | Expr | Basic | Expectation | Unknown | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Relational | Unequality | Integral | ExpectationMatrix | None)" (reportUnknownVariableType)
+     Type of "H" is "(expr: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (int | Expr | Basic | Expectation | Unknown | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Integral | ExpectationMatrix | None)" (reportUnknownVariableType)
-     Type of "variance" is "(X: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (VarianceMatrix | Variance | Unknown | CentralMoment)" (reportUnknownVariableType)
+     Type of "variance" is "(X: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (VarianceMatrix | Variance | Unknown | Any | CentralMoment)" (reportUnknownVariableType)
-     Type of "skewness" is "(X: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (Unknown | Expr)" (reportUnknownVariableType)
+     Type of "skewness" is "(X: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (Unknown | Any | Expr)" (reportUnknownVariableType)
-     Type of "kurtosis" is "(X: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (Unknown | Expr)" (reportUnknownVariableType)
+     Type of "kurtosis" is "(X: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (Unknown | Any | Expr)" (reportUnknownVariableType)
-     Type of "covariance" is "(X: Unknown, Y: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (CrossCovarianceMatrix | Covariance | Unknown | Basic | Expectation | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Relational | Unequality | Integral | ExpectationMatrix | Literal[0] | None)" (reportUnknownVariableType)
+     Type of "covariance" is "(X: Unknown, Y: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (CrossCovarianceMatrix | Covariance | Unknown | Basic | Expectation | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Integral | ExpectationMatrix | Literal[0] | None)" (reportUnknownVariableType)
-     Type of "entropy" is "(expr: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (int | Expr | Basic | Expectation | Unknown | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Relational | Unequality | Integral | ExpectationMatrix | None)" (reportUnknownVariableType)
+     Type of "entropy" is "(expr: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (int | Expr | Basic | Expectation | Unknown | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Integral | ExpectationMatrix | None)" (reportUnknownVariableType)
-     Type of "factorial_moment" is "(X: Unknown, n: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (Expr | Basic | Expectation | Unknown | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Relational | Unequality | Integral | ExpectationMatrix | Literal[0] | None)" (reportUnknownVariableType)
+     Type of "factorial_moment" is "(X: Unknown, n: Unknown, condition: Unknown | None = None, **kwargs: Unknown) -> (Expr | Basic | Expectation | Unknown | tuple[Unknown, ...] | Sum | Self@Expr | Order | Any | Zero | NaN | Piecewise | Equality | Integral | ExpectationMatrix | Literal[0] | None)" (reportUnknownVariableType)
-     Type of "moment" is "(X: Unknown, n: Unknown, c: int = 0, condition: Unknown | None = None, *, evaluate: bool = True, **kwargs: Unknown) -> (Unknown | Moment)" (reportUnknownVariableType)
+     Type of "moment" is "(X: Unknown, n: Unknown, c: int = 0, condition: Unknown | None = None, *, evaluate: bool = True, **kwargs: Unknown) -> (Unknown | Any | Moment)" (reportUnknownVariableType)

... (truncated 2392 lines) ...

vision (https://github.com/pytorch/vision): 1.58x slower (41.1s -> 64.8s in a single noisy sample)