Merge pull request #135 from ku-nlp/develop

Release

.github/workflows/test-example.yml

@@ -13,7 +13,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
     steps:
       - name: Checkout repository
         uses: actions/checkout@v3

.github/workflows/test.yml

@@ -37,14 +37,13 @@ jobs:
           path: /tmp/kwja
           key: kwja-${{ env.KWJA_VERSION }}
       - name: Run tests with KWJA
-        # KWJA does not support Python 3.7 and 3.11
-        if: ${{ matrix.python-version != 3.7 && matrix.python-version != 3.11 }}
+        # KWJA does not support Python 3.7
+        if: ${{ matrix.python-version != 3.7 }}
         run: |
           pipx install kwja
-          ulimit -n 4096
           poetry run pytest --cov=./ --cov-report=xml -v ./tests
       - name: Run tests without KWJA
-        if: ${{ matrix.python-version == 3.7 || matrix.python-version == 3.11 }}
+        if: ${{ matrix.python-version == 3.7 }}
         run: |
           poetry run pytest -v --ignore ./tests/processors/test_kwja.py ./tests
       - name: Upload coverage to Codecov

.pre-commit-config.yaml

@@ -25,7 +25,7 @@ repos:
     hooks:
       - id: absolufy-imports
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.2.0
+    rev: v1.3.0
     hooks:
       - id: mypy
         additional_dependencies:
@@ -34,8 +34,9 @@ repos:
           - rich
           - uvicorn
           - fastapi
+          - markdown-it-py==2.2.0
   - repo: https://github.com/asottile/pyupgrade
-    rev: v3.3.2
+    rev: v3.6.0
     hooks:
       - id: pyupgrade
         args:
@@ -45,6 +46,6 @@ repos:
     hooks:
       - id: pydocstyle
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v2.7.1
+    rev: v3.0.0-alpha.9-for-vscode
     hooks:
       - id: prettier

README.md

@@ -16,14 +16,22 @@
 <a href="https://github.com/psf/black"><img alt="Code style - black" src="https://img.shields.io/badge/code%20style-black-222222?style=flat-square"></a>
 </p>
 
+---
+
+**Documentation**: [https://rhoknp.readthedocs.io/en/latest/](https://rhoknp.readthedocs.io/en/latest/)
+
+**Source Code**: [https://github.com/ku-nlp/rhoknp](https://github.com/ku-nlp/rhoknp)
+
+---
+
 _rhoknp_ is a Python binding for [Juman++](https://github.com/ku-nlp/jumanpp), [KNP](https://github.com/ku-nlp/knp), and [KWJA](https://github.com/ku-nlp/kwja).[^1]
 
-[^1]: The logo was originally generated using OpenAI DALL·E 2
+[^1]: The logo was generated by OpenAI DALL·E 2.
 
 ```python
 import rhoknp
 
-# Perform language analysis by Juman++
+# Perform morphological analysis by Juman++
 jumanpp = rhoknp.Jumanpp()
 sentence = jumanpp.apply_to_sentence(
     "電気抵抗率は電気の通しにくさを表す物性値である。"
@@ -33,47 +41,40 @@ sentence = jumanpp.apply_to_sentence(
 for morpheme in sentence.morphemes:  # a.k.a. keitai-so
     ...
 
-# Save language analysis by Juman++
+# Save the result
 with open("result.jumanpp", "wt") as f:
     f.write(sentence.to_jumanpp())
 
-# Load language analysis by Juman++
+# Load the result
 with open("result.jumanpp", "rt") as f:
     sentence = rhoknp.Sentence.from_jumanpp(f.read())
 ```
 
 ## Requirements
 
 - Python 3.7+
-
-## Optional requirements for language analysis
-
-- [Juman++](https://github.com/ku-nlp/jumanpp) v2.0.0-rc3+
-- [KNP](https://github.com/ku-nlp/knp) 5.0+
-- [KWJA](https://github.com/ku-nlp/kwja) 1.0.0+
+- (Optional) [Juman++](https://github.com/ku-nlp/jumanpp) v2.0.0-rc3+
+- (Optional) [KNP](https://github.com/ku-nlp/knp) 5.0+
+- (Optional) [KWJA](https://github.com/ku-nlp/kwja) 1.0.0+
 
 ## Installation
 
 ```shell
 pip install rhoknp
 ```
 
-## Documentation
-
-[https://rhoknp.readthedocs.io/en/latest/](https://rhoknp.readthedocs.io/en/latest/)
-
 ## Quick tour
 
-Let's start with using Juman++ with _rhoknp_.
-Here is a simple example of using Juman++ to analyze a sentence.
+Let's begin by using Juman++ with rhoknp.
+Here, we present a simple example demonstrating how Juman++ can be used to analyze a sentence.
 
 ```python
-# Perform language analysis by Juman++
+# Perform morphological analysis by Juman++
 jumanpp = rhoknp.Jumanpp()
 sentence = jumanpp.apply_to_sentence("電気抵抗率は電気の通しにくさを表す物性値である。")
 ```
 
-You can easily access the morphemes that make up the sentence.
+You can easily access the individual morphemes that make up the sentence.
 
 ```python
 for morpheme in sentence.morphemes:  # a.k.a. keitai-so
@@ -125,7 +126,7 @@ with open("sentence.knp", "rt") as f:
     sentence = rhoknp.Sentence.from_knp(f.read())
 ```
 
-_rhoknp_ also provides APIs for document-level language analysis.
+Furthermore, rhoknp provides convenient APIs for document-level language analysis.
 
 ```python
 document = rhoknp.Document.from_raw_text(
@@ -140,10 +141,10 @@ document = rhoknp.Document.from_sentences(
 )
 ```
 
-Document objects can be handled in almost the same way as Sentence objects.
+Document objects can be handled in a similar manner as Sentence objects.
 
 ```python
-# Perform language analysis by Juman++
+# Perform morphological analysis by Juman++
 document = jumanpp.apply_to_document(document)
 
 # Access language units in the document
@@ -161,25 +162,25 @@ with open("document.jumanpp", "rt") as f:
     document = rhoknp.Document.from_jumanpp(f.read())
 ```
 
-For more information, explore the [examples](./examples) and [documentation](https://rhoknp.readthedocs.io/en/latest/).
+For more information, please refer to the [examples](./examples) and [documentation](https://rhoknp.readthedocs.io/en/latest/).
 
 ## Main differences from [pyknp](https://github.com/ku-nlp/pyknp/)
 
-[_pyknp_](https://pypi.org/project/pyknp/) has been developed as the official Python binding for Juman++ and KNP.
-In _rhoknp_, we redesigned the API from the top-down, taking into account the current use cases of _pyknp_.
-The main differences are as follows:
+[_pyknp_](https://pypi.org/project/pyknp/) serves as the official Python binding for Juman++ and KNP.
+In the development of rhoknp, we redesigned the API, considering the current use cases of pyknp.
+The key differences between the two are as follows:
 
-- **Support for document-level language analysis**: _rhoknp_ can load and instantiate the result of document-level language analysis (i.e., cohesion analysis and discourse relation analysis).
-- **Strictly type-aware**: _rhoknp_ is thoroughly annotated with type annotations.
-- **Extensive test suite**: _rhoknp_ is tested with an extensive test suite. See the code coverage at [Codecov](https://app.codecov.io/gh/ku-nlp/rhoknp).
+- **Support for document-level language analysis**: rhoknp allows you to load and instantiate the results of document-level language analysis, including cohesion analysis and discourse relation analysis.
+- **Strict type-awareness**: rhoknp has been thoroughly annotated with type annotations, ensuring strict type checking and improved code clarity.
+- **Comprehensive test suite**: rhoknp is extensively tested with a comprehensive test suite. You can view the code coverage report on [Codecov](https://app.codecov.io/gh/ku-nlp/rhoknp).
 
 ## License
 
 MIT
 
 ## Contributing
 
-We welcome contributions to _rhoknp_.
+We warmly welcome contributions to rhoknp.
 You can get started by reading the [contribution guide](https://rhoknp.readthedocs.io/en/latest/contributing/index.html).
 
 ## Reference