Implement `perflint`

https://github.com/tonybaloney/perflint - Python Linter for performance anti patterns.

- [x] PERF101: Unnecessary list() on already iterable type (unnecessary-list-cast)
- [x] PERF102: Incorrect iterator method for dictionary (incorrect-dictionary-iterator)
- [ ] PERF201: Loop invariant statement (loop-invariant-statement)
- [ ] PERF202: Global name usage in a loop (loop-global-usage)
- [x] PERF203: Try..except blocks have a significant overhead. Avoid using them inside a loop (loop-try-except-usage)
- [ ] PERF204: Looped slicing of bytes objects is inefficient. Use a memoryview() instead (memoryview-over-bytes)
- [ ] PERF205: Importing the "%s" name directly is more efficient in this loop. (dotted-import-in-loop)
- [ ] PERF301: Use tuple instead of list for a non-mutated sequence. (use-tuple-over-list)
- [x] PERF401: Use a list comprehension instead of a for-loop (use-list-comprehension)
- [x] PERF402: Use a list copy instead of a for-loop (use-list-copy)
- [x] PERF403: Use a dictionary comprehension instead of a for-loop (use-dict-comprehension)

Start by reading the linked perflint project and comparing its completed PERF101, PERF102, PERF203, PERF401, PERF402, and PERF403 entries with Ruff's existing lint-rule structure. Determine how the unchecked PERF201, PERF202, PERF204, PERF205, and PERF301 rules should fit, then confirm that each listed anti-pattern is implemented and covered by the project's rule validation.

Written by the indexing model from the issue text.