chore: DROP 3.8, leverage hatch to run tests and static analisys

[pkucmus]

• provide explicit configs for mypy, ruff, coverage
• Python 3.8 support is dropped
• Python 3.13 support introduced

Related to #1220

What needs to be done:

• make a commit that will fix style issues (summary bellow)
• ignore the style commit in .git-blame-ignore-revs
• fix mypy errors (summary bellow)
• update GitHub actions
• update CONTRIBUTING.md

Ruff error summary:

> ruff check --statistics
175	UP006	[*] non-pep585-annotation
 65	UP035	[ ] deprecated-import
 59	E501 	[ ] line-too-long
 38	I001 	[*] unsorted-imports
 27	UP031	[ ] printf-string-formatting
 17	C901 	[ ] complex-structure
  8	UP032	[*] f-string
  6	F841 	[*] unused-variable
  5	UP015	[*] redundant-open-modes
  4	N806 	[ ] non-lowercase-variable-in-function
  4	UP012	[*] unnecessary-encode-utf8
  3	T201 	[*] print
  3	F401 	[ ] unused-import
  2	N803 	[ ] invalid-argument-name
  2	N815 	[ ] mixed-case-variable-in-class-scope
  2	UP037	[*] quoted-annotation
  1	N802 	[ ] invalid-function-name
  1	E713 	[*] not-in-test
  1	F811 	[ ] redefined-while-unused
  1	F821 	[ ] undefined-name
[*] fixable with `ruff check --fix`

Mypy error list:

> hatch run types:check
ariadne/asgi/handlers/graphql_transport_ws.py:14: error: Module "ariadne.types" does not explicitly export attribute "ExecutionResult"  [attr-defined]
ariadne/__init__.py:17: error: Module "ariadne.interfaces" does not explicitly export attribute "type_implements_interface"  [attr-defined]
ariadne/contrib/sse.py:38: error: Module "ariadne.graphql" does not explicitly export attribute "ExecutionResult"  [attr-defined]
ariadne/contrib/sse.py:38: error: Module "ariadne.graphql" does not explicitly export attribute "GraphQLError"  [attr-defined]
Found 4 errors in 3 files (checked 58 source files)

[pkucmus]

@rafalp do you care about such stuff at all?

[rafalp]

I am not sure what you are asking?

[pkucmus]

If you have an opinion on the matter, do you want to have an opinion on this?

[rafalp]

Oh, I don't. You should do what works for you as new maintainer. Unifying setup with other projects you are responsible for is good reason for doing this. Also good on updating Python versions matrix.