Version - 0.0.1

.github/workflows/pip.yaml

@@ -14,12 +14,12 @@ jobs:
         shell: bash -l {0}
     strategy:
       matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
+        os: [ubuntu-latest, windows-latest]
         python-version: ["3.9", "3.10", "3.11"]
     steps:
     - uses: actions/checkout@v2
     - name: Set up Python
-      uses: conda-incubator/setup-miniconda@v2
+      uses: conda-incubator/setup-miniconda@v3
       with:
         activate-environment: test
         auto-update-conda: true
@@ -32,7 +32,7 @@ jobs:
       run: |
         conda install --yes pip
         pip install twine build
-        conda install --yes numpy scipy scikit-learn nose
+        conda install --yes numpy scipy scikit-learn nose evomsa
         python -m build
     - name: Pip
       if: ${{ runner.os == 'Linux' }}

.github/workflows/test.yaml

@@ -13,7 +13,7 @@ jobs:
         shell: bash -l {0}      
     strategy:
       matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
+        os: [ubuntu-latest, windows-latest]
         python-version: ["3.9", "3.10", "3.11"]
     steps:
     - uses: actions/checkout@v2
@@ -32,7 +32,7 @@ jobs:
         conda install --yes pip
         pip install coverage
         pip install coveralls
-        conda install --yes numpy scipy scikit-learn nose
+        conda install --yes numpy scipy scikit-learn nose evomsa
         python setup.py build_ext --inplace
     - name: Tests on Linux
       if: ${{ runner.os == 'Linux' }}

dialectid/__init__.py

@@ -20,4 +20,6 @@
 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 # SOFTWARE.
 
-__version__ = '0.0.1'
+__version__ = '0.0.1'
+
+from dialectid.text_repr import BoW

dialectid/tests/test_text_repr.py

@@ -0,0 +1,34 @@
+# MIT License
+
+# Copyright (c) 2024 Eric Sadit Tellez Avila, Daniela Alejandra Moctezuma Ochoa, Luis Guillermo Ruiz Velazquez, Mario Graff Guerrero
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+# https://www.cia.gov/the-world-factbook/about/archives/2021/field/languages/
+
+
+from dialectid.text_repr import BoW
+
+
+def test_bow():
+    """Test BoW"""
+    from b4msa.textmodel import TextModel
+
+    bow = BoW(lang='es')
+    assert isinstance(bow.bow, TextModel)
+    X = bow.transform(['Buenos dias'])

dialectid/tests/test_utils.py

@@ -54,3 +54,10 @@ def test_countries():
         for i in v:
             assert len(i) == 2
 
+def test_load_bow():
+    """Test load_bow"""
+
+    from microtc.utils import Counter
+
+    c = utils.load_bow()
+    assert isinstance(c, Counter)

dialectid/text_repr.py

@@ -0,0 +1,69 @@
+# MIT License
+
+# Copyright (c) 2024 Eric Sadit Tellez Avila, Daniela Alejandra Moctezuma Ochoa, Luis Guillermo Ruiz Velazquez, Mario Graff Guerrero
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+from sklearn.svm import LinearSVC
+from EvoMSA import BoW as EvoMSABoW
+from EvoMSA.utils import b4msa_params
+from b4msa.textmodel import TextModel
+from microtc.weighting import TFIDF
+from dialectid.utils import load_bow
+
+
+class BoW(EvoMSABoW):
+    """BoW
+
+    >>> from dialectid import BoW
+    >>> bow = BoW(lang='es')
+    >>> bow.transform(['Buenos dias', 'Disfruta dialectid'])
+    """
+
+    def __init__(self, pretrain: bool=True,
+                 v1: bool=False,
+                 estimator_class=LinearSVC,
+                 estimator_kwargs=dict(dual=True,
+                                       class_weight='balanced'),
+                 **kwargs):
+        assert pretrain
+        assert not v1
+        super(BoW, self).__init__(pretrain=pretrain,
+                                  v1=v1, **kwargs)
+
+    @property
+    def bow(self):
+        """BoW"""
+
+        try:
+            bow = self._bow
+        except AttributeError:
+            freq = load_bow(lang=self.lang,
+                            d=self.voc_size_exponent, 
+                            func=self.voc_selection)
+            params = b4msa_params(lang=self.lang,
+                                dim=self._voc_size_exponent)
+            params.update(self.b4msa_kwargs)
+            bow = TextModel(**params)
+            tfidf = TFIDF()
+            tfidf.N = freq.update_calls
+            tfidf.word2id, tfidf.wordWeight = tfidf.counter2weight(freq)
+            bow.model = tfidf
+            self._bow = bow
+        return bow

dialectid/utils.py

@@ -21,6 +21,13 @@
 # SOFTWARE.
 # https://www.cia.gov/the-world-factbook/about/archives/2021/field/languages/
 
+from EvoMSA.utils import Download
+from microtc.utils import Counter
+from os.path import join, dirname, isdir, isfile
+import gzip
+import os
+
+BASEURL = 'https://github.com/INGEOTEC/dialectid/releases/download/data'
 
 COUNTRIES = {'es':['mx', 'cl', 'es', # Mexico (MX), Chile (CL), Spain (ES)
                    'ar', 'co', 'pe', # Argentina (AR), Colombia (CO), Peru (PE)
@@ -91,5 +98,28 @@
              'zh':['cn', 'sg', 'hk', # China, Singapore, Hong Kong
                    'tw' # Taiwan
              ]
-            } 
-
+            }
+
+
+def load_bow(lang='es', d=17, func='most_common_by_type'):
+    """Load BoW model from dialectid"""
+
+    def load(filename):
+        try:
+            with gzip.open(filename, 'rb') as fpt:
+                return str(fpt.read(), encoding='utf-8')
+        except Exception:
+            os.unlink(filename)
+            raise Exception(filename)
+
+    lang = lang.lower().strip()
+    diroutput = join(dirname(__file__), 'models')
+    if not isdir(diroutput):
+        os.mkdir(diroutput)
+    filename = f'{lang}_bow_{func}_{d}.json.gz'        
+    url = f'{BASEURL}/{filename}'
+    output = join(diroutput, filename)
+    if not isfile(output):
+        Download(url, output)
+    return Counter.fromjson(load(output))    
+

pyproject.toml

@@ -2,7 +2,10 @@
 name = 'dialectid'
 dependencies = [
     'numpy',
-    'scikit-learn>=1.3.0'
+    'scikit-learn>=1.3.0',
+    'microtc',
+    'b4msa',
+    'EvoMSA'
 ]
 dynamic = ['version']