⬆️ Bump black from 22.12.0 to 23.1.0 (#265)

* ⬆️ Bump black from 22.12.0 to 23.1.0

Bumps [black](https://github.com/psf/black) from 22.12.0 to 23.1.0.
- [Release notes](https://github.com/psf/black/releases)
- [Changelog](https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](psf/black@22.12.0...23.1.0)

---
updated-dependencies:
- dependency-name: black
  dependency-type: direct:development
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <[email protected]>

* 🎨 reformat files using latest `black`

---------

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Ahmed TAHRI <[email protected]>

charset_normalizer/api.py

@@ -175,7 +175,6 @@ def from_bytes(
         prioritized_encodings.append("utf_8")
 
     for encoding_iana in prioritized_encodings + IANA_SUPPORTED:
-
         if cp_isolation and encoding_iana not in cp_isolation:
             continue
 
@@ -318,7 +317,9 @@ def from_bytes(
                     bom_or_sig_available and strip_sig_or_bom is False
                 ):
                     break
-        except UnicodeDecodeError as e:  # Lazy str loading may have missed something there
+        except (
+            UnicodeDecodeError
+        ) as e:  # Lazy str loading may have missed something there
             logger.log(
                 TRACE,
                 "LazyStr Loading: After MD chunk decode, code page %s does not fit given bytes sequence at ALL. %s",

charset_normalizer/cd.py

@@ -140,7 +140,6 @@ def alphabet_languages(
     source_have_accents = any(is_accentuated(character) for character in characters)
 
     for language, language_characters in FREQUENCIES.items():
-
         target_have_accents, target_pure_latin = get_target_features(language)
 
         if ignore_non_latin and target_pure_latin is False:

charset_normalizer/cli/normalizer.py

@@ -147,7 +147,6 @@ def cli_detect(argv: Optional[List[str]] = None) -> int:
     x_ = []
 
     for my_file in args.files:
-
         matches = from_fp(my_file, threshold=args.threshold, explain=args.verbose)
 
         best_guess = matches.best()
@@ -222,7 +221,6 @@ def cli_detect(argv: Optional[List[str]] = None) -> int:
                         )
 
             if args.normalize is True:
-
                 if best_guess.encoding.startswith("utf") is True:
                     print(
                         '"{}" file does not need to be normalized, as it already came from unicode.'.format(

charset_normalizer/utils.py

@@ -311,7 +311,6 @@ def range_scan(decoded_sequence: str) -> List[str]:
 
 
 def cp_similarity(iana_name_a: str, iana_name_b: str) -> float:
-
     if is_multi_byte_encoding(iana_name_a) or is_multi_byte_encoding(iana_name_b):
         return 0.0
 
@@ -351,7 +350,6 @@ def set_logging_handler(
     level: int = logging.INFO,
     format_string: str = "%(asctime)s | %(levelname)s | %(message)s",
 ) -> None:
-
     logger = logging.getLogger(name)
     logger.setLevel(level)
 
@@ -371,7 +369,6 @@ def cut_sequence_chunks(
     is_multi_byte_decoder: bool,
     decoded_payload: Optional[str] = None,
 ) -> Generator[str, None, None]:
-
     if decoded_payload and is_multi_byte_decoder is False:
         for i in offsets:
             chunk = decoded_payload[i : i + chunk_size]
@@ -397,7 +394,6 @@ def cut_sequence_chunks(
             # multi-byte bad cutting detector and adjustment
             # not the cleanest way to perform that fix but clever enough for now.
             if is_multi_byte_decoder and i > 0:
-
                 chunk_partial_size_chk: int = min(chunk_size, 16)
 
                 if (

dev-requirements.txt

@@ -6,7 +6,7 @@ pytest-cov==4.0.0
 build==0.10.0
 wheel==0.38.4
 
-black==22.12.0
+black==23.1.0
 mypy==1.0.1
 Flask==2.2.3
 pytest==7.2.1