Tidy up yaml

.github/workflows/unitttest-ubuntu.yml

@@ -1,4 +1,4 @@
-name: Unit test and code coverage
+name: Unit test and code coverage (Ubuntu)
 
 on:
   push:

.pep8speaks.yml

@@ -1,11 +1,11 @@
 scanner:
-    diff_only: True  # If False, the entire file touched by the Pull Request is scanned for errors. If True, only the diff is scanned.
-    linter: pycodestyle  # Other option is flake8
+  diff_only: True  # If False, the entire file touched by the Pull Request is scanned for errors. If True, only the diff is scanned.
+  linter: pycodestyle  # Other option is flake8
 
 pycodestyle:  # Same as scanner.linter value. Other option is flake8
-    max-line-length: 100  # Default is 79 in PEP 8
-    ignore:  # Errors and warnings to ignore
-        - W504  # line break after binary operator
-        - E402  # module level import not at top of file
-        - E731  # do not assign a lambda expression, use a def
+  max-line-length: 100  # Default is 79 in PEP 8
+  ignore:  # Errors and warnings to ignore
+    - W504  # line break after binary operator
+    - E402  # module level import not at top of file
+    - E731  # do not assign a lambda expression, use a def
 no_blank_comment: True  # If True, no comment is made on PR without any errors.

CONTRIBUTING.md

@@ -6,10 +6,9 @@ Please refer to our [Contributor Covenant Code of Conduct](https://github.com/Py
 
 ## Issue Report and Discussion
 
-- Discussion: https://github.com/PyThaiNLP/pythainlp/discussions
-- GitHub issues (for problems and suggestions): https://github.com/PyThaiNLP/pythainlp/issues
-- Facebook group (not specific to PyThaiNLP, for Thai NLP discussion in general): https://www.facebook.com/groups/thainlp
-
+- Discussion: <https://github.com/PyThaiNLP/pythainlp/discussions>
+- GitHub issues (for problems and suggestions): <https://github.com/PyThaiNLP/pythainlp/issues>
+- Facebook group (not specific to PyThaiNLP, for Thai NLP discussion in general): <https://www.facebook.com/groups/thainlp>
 
 ## Code
 
@@ -49,16 +48,14 @@ to manage our branches.
 and several checks automatically. Click the "Details" link at the end of
 each check to see what needs to be fixed.
 
-
 ## Documentation
 
 - We use [Sphinx](https://www.sphinx-doc.org/en/master/) to generate API document
 automatically from "docstring" comments in source codes. This means the comment
 section in the source codes is important for the quality of documentation.
 - A docstring should start with one summary line, end with one line with a full stop (period),
 then be followed by a blank line before starting a new paragraph.
-- A commit to release branches (e.g. `2.2`, `2.1`) with a title **"(build and deploy docs)"** (without quotes) will trigger the system to rebuild the documentation files and upload them to the website https://pythainlp.org/docs.
-
+- A commit to release branches (e.g. `2.2`, `2.1`) with a title **"(build and deploy docs)"** (without quotes) will trigger the system to rebuild the documentation files and upload them to the website <https://pythainlp.org/docs>.
 
 ## Testing
 
@@ -67,29 +64,33 @@ We use standard Python `unittest`. The test suite is in `tests/` directory.
 To run unit tests locally together with code coverage test:
 
 (from main `pythainlp/` directory)
+
 ```sh
 coverage run -m unittest discover
 ```
 
 See code coverage test:
+
 ```sh
 coverage report
 ```
 
 Generate code coverage test in HTML (files will be available in `htmlcov/` directory):
+
 ```sh
 coverage html
 ```
 
 Make sure the tests pass on both Github Actions and AppVeyor.
 
-
 ## Releasing
+
 - We use [semantic versioning](https://semver.org/): MAJOR.MINOR.PATCH, with development build suffix: MAJOR.MINOR.PATCH-devBUILD
 - We use [`bumpversion`](https://github.com/c4urself/bump2version/#installation) to manage versioning.
   - `bumpversion [major|minor|patch|release|build]`
   - Example:
-  ```
+
+  ```sh
   #current_version = 2.3.3-dev0
 
   bumpversion build
@@ -132,29 +133,31 @@ Make sure the tests pass on both Github Actions and AppVeyor.
 Thanks to all [contributors](https://github.com/PyThaiNLP/pythainlp/graphs/contributors). (Image made with [contributors-img](https://contributors-img.firebaseapp.com))
 
 ### Development Leads
+
 - Wannaphong Phatthiyaphaibun <wannaphong@yahoo.com> - foundation, distribution and maintenance
 - Korakot Chaovavanich - initial tokenization and soundex codes
 - Charin Polpanumas - classification and benchmarking
-- Arthit Suriyawongkul - refactoring, packaging, distribution, and maintenance
+- Arthit Suriyawongkul - documentation, refactoring, packaging, distribution, and maintenance
 - Lalita Lowphansirikul - documentation
 - Pattarawat Chormai - benchmarking
 - Peerat Limkonchotiwat
 - Thanathip Suntorntip - nlpO3 maintenance, Rust Developer
 - Can Udomcharoenchaikit - documentation and codes
 
 ### Maintainers
+
 - Arthit Suriyawongkul
 - Wannaphong Phatthiyaphaibun
 
-
 ### Past
+
 - Peeradej Tanruangporn - documentation
 
 ## References
 
-- **[Maximum Matching]** -- Manabu Sassano. Deterministic Word Segmentation Using Maximum Matching with Fully Lexicalized Rules. Retrieved from http://www.aclweb.org/anthology/E14-4016
-- **[MetaSound]** -- Snae & Brückner. (2009). Novel Phonetic Name Matching Algorithm with a Statistical Ontology for Analysing Names Given in Accordance with Thai Astrology. Retrieved from https://pdfs.semanticscholar.org/3983/963e87ddc6dfdbb291099aa3927a0e3e4ea6.pdf
+- **[Maximum Matching]** -- Manabu Sassano. Deterministic Word Segmentation Using Maximum Matching with Fully Lexicalized Rules. Retrieved from <http://www.aclweb.org/anthology/E14-4016>
+- **[MetaSound]** -- Snae & Brückner. (2009). Novel Phonetic Name Matching Algorithm with a Statistical Ontology for Analysing Names Given in Accordance with Thai Astrology. Retrieved from <https://pdfs.semanticscholar.org/3983/963e87ddc6dfdbb291099aa3927a0e3e4ea6.pdf>
 - **[Thai Character Cluster]** -- T. Teeramunkong, V. Sornlertlamvanich, T. Tanhermhong and W. Chinnan, “Character cluster based Thai information retrieval,” in IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages, 2000.
 - **[Enhanced Thai Character Cluster]** -- Jeeragone Inrut, Patiroop Yuanghirun, Sarayut Paludkong, Supot Nitsuwat, and Para Limmaneepraserth. “Thai word segmentation using combination of forward and backward longest matching techniques.” In International Symposium on Communications and Information Technology (ISCIT), pp. 37-40. 2001.
 - เพ็ญศิริ ลี้ตระกูล. การเลือกประโยคสำคัญในการสรุปความภาษาไทย โดยใช้แบบจำลองแบบลำดับชั้น (Selection of Important Sentences in Thai Text Summarization Using a Hierarchical Model). Retrieved from [http://digi.library.tu.ac.th/thesis/st/0192/](https://digital.library.tu.ac.th/tu_dc/frontend/Info/item/dc:124897)
-- **[Thai Discourse Treebank]** -- Ponrawee Prasertsom, Apiwat Jaroonpol, Attapol T. Rutherford; The Thai Discourse Treebank: Annotating and Classifying Thai Discourse Connectives. Transactions of the Association for Computational Linguistics 2024; 12 613–629. doi: https://doi.org/10.1162/tacl_a_00650
+- **[Thai Discourse Treebank]** -- Ponrawee Prasertsom, Apiwat Jaroonpol, Attapol T. Rutherford; The Thai Discourse Treebank: Annotating and Classifying Thai Discourse Connectives. Transactions of the Association for Computational Linguistics 2024; 12 613–629. doi: <https://doi.org/10.1162/tacl_a_00650>

pythainlp/soundex/__init__.py

@@ -8,17 +8,17 @@
 """
 
 __all__ = [
-    "soundex",
     "lk82",
     "metasound",
-    "udom83",
     "prayut_and_somchaip",
+    "soundex",
+    "udom83",
 ]
 
 from pythainlp.soundex.lk82 import lk82
 from pythainlp.soundex.metasound import metasound
-from pythainlp.soundex.udom83 import udom83
 from pythainlp.soundex.prayut_and_somchaip import prayut_and_somchaip
+from pythainlp.soundex.udom83 import udom83
 
 DEFAULT_SOUNDEX_ENGINE = "udom83"
 

pythainlp/summarize/__init__.py

@@ -11,4 +11,4 @@
 CPE_KMUTT_THAI_SENTENCE_SUM = "mt5-cpe-kmutt-thai-sentence-sum"
 DEFAULT_KEYWORD_EXTRACTION_ENGINE = "keybert"
 
-from pythainlp.summarize.core import summarize, extract_keywords
+from pythainlp.summarize.core import extract_keywords, summarize

pythainlp/summarize/core.py

@@ -5,12 +5,12 @@
 Text summarization and keyword extraction
 """
 
-from typing import List, Iterable, Optional, Tuple
+from typing import Iterable, List, Optional, Tuple
 
 from pythainlp.summarize import (
-    DEFAULT_SUMMARIZE_ENGINE,
     CPE_KMUTT_THAI_SENTENCE_SUM,
     DEFAULT_KEYWORD_EXTRACTION_ENGINE,
+    DEFAULT_SUMMARIZE_ENGINE,
 )
 from pythainlp.summarize.freq import FrequencySummarizer
 from pythainlp.tokenize import sent_tokenize
@@ -198,8 +198,8 @@ def rank_by_frequency(
         tokenizer: str = "newmm",
         stop_words: Optional[Iterable[str]] = None,
     ):
-        from pythainlp.util.keywords import rank
         from pythainlp.tokenize import word_tokenize
+        from pythainlp.util.keywords import rank
 
         tokens = word_tokenize(text, engine=tokenizer, keep_whitespace=False)
 

pythainlp/summarize/mt5.py

@@ -5,7 +5,8 @@
 Summarization by mT5 model
 """
 from typing import List
-from transformers import T5Tokenizer, MT5ForConditionalGeneration
+
+from transformers import MT5ForConditionalGeneration, T5Tokenizer
 
 from pythainlp.summarize import CPE_KMUTT_THAI_SENTENCE_SUM