New languages: Welsh (Celtic) and Chechen (Nakho-Dagestanian)

README.rst

@@ -80,6 +80,8 @@ Besides the numerical argument, there are two main optional arguments, ``to:`` a
 * ``ar`` (Arabic)
 * ``az`` (Azerbaijani)
 * ``by`` (Belarusian)
+* ``ce`` (Chechen)
+* ``cy`` (Welsh)
 * ``cz`` (Czech)
 * ``de`` (German)
 * ``dk`` (Danish)

num2words/README.md

@@ -0,0 +1,70 @@
+# Add new language
+
+for each new language you must create a file `lang_NN.py` where `NN` is the 
+ISO 639-1 or ISO 639-3 [language code](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes).
+
+This class must be a subclass of `Num2Word_EU` and implement at least the following methods
+
+```
+to_cardinal(self, number)
+to_ordinal(self, number)
+``
+
+To integrate your language into the `num2words` module, add the name of  your file
+to the import list in [num2words/__init__.py](num2words/__init__.py) (top of the file),
+and `'nn': lang_NN.Num2Word_NN()` to the `CONVERTER_CLASSES` list in the same file.
+Do not forget to remplace `NN` by the appropriate ISO 639 language code.
+
+The following is a template for a new language class
+
+```
+from .lang_EU import Num2Word_EU
+
+class Num2Word_CY(Num2Word_EU):
+    def setup(self):
+        Num2Word_EU.setup(self)
+
+    def __init__(self):
+        pass
+
+    def to_ordinal(self, number):
+	# implement here your code. number is the integer to be transformed into an ordinal
+        # as a word (str)
+	# which is returned
+	return "NOT IMPLEMENTED"
+
+    def to_cardinal(self, number):
+	# implement here your code. number is the integer to be transformed into an cardinal
+        # as a word (str)
+	# which is returned
+	return "NOT IMPLEMENTED"
+```
+
+You can use as manu auxiliary methods as you need to make your code efficient and readable.
+If you need further options like Gender, Formal/Informal, add those parameters to the methods,
+e.g.
+
+```
+    def to_ordinal(self, number, gender="fem", informal=True)
+	# your code
+	pass
+```
+
+More inspiration can be found in existing `num2words/lang_NN.py` files
+
+## Code validation
+
+In order to get your contribution merged into the main project, your code must test the validation tests.
+For this install the packages needed to test
+
+```
+pip install -r requirements-test.txt
+```
+
+run `tox` and `coverage` to check that the code is well formated and all parts of the code are tested
+
+```
+tox
+python3 -m coverage report -m
+```
+

num2words/__init__.py

@@ -17,20 +17,23 @@
 
 from __future__ import unicode_literals
 
-from . import (lang_AM, lang_AR, lang_AZ, lang_BY, lang_CZ, lang_DE, lang_DK,
-               lang_EN, lang_EN_IN, lang_EN_NG, lang_EO, lang_ES, lang_ES_CO,
-               lang_ES_CR, lang_ES_GT, lang_ES_NI, lang_ES_VE, lang_FA,
-               lang_FI, lang_FR, lang_FR_BE, lang_FR_CH, lang_FR_DZ, lang_HE,
-               lang_HU, lang_ID, lang_IS, lang_IT, lang_JA, lang_KN, lang_KO,
-               lang_KZ, lang_LT, lang_LV, lang_NL, lang_NO, lang_PL, lang_PT,
-               lang_PT_BR, lang_RO, lang_RU, lang_SK, lang_SL, lang_SR,
-               lang_SV, lang_TE, lang_TG, lang_TH, lang_TR, lang_UK, lang_VI)
+from . import (lang_AM, lang_AR, lang_AZ, lang_BY, lang_CE, lang_CY, lang_CZ,
+               lang_DE, lang_DK, lang_EN, lang_EN_IN, lang_EN_NG, lang_EO,
+               lang_ES, lang_ES_CO, lang_ES_CR, lang_ES_GT, lang_ES_NI,
+               lang_ES_VE, lang_FA, lang_FI, lang_FR, lang_FR_BE, lang_FR_CH,
+               lang_FR_DZ, lang_HE, lang_HU, lang_ID, lang_IS, lang_IT,
+               lang_JA, lang_KN, lang_KO, lang_KZ, lang_LT, lang_LV, lang_NL,
+               lang_NO, lang_PL, lang_PT, lang_PT_BR, lang_RO, lang_RU,
+               lang_SK, lang_SL, lang_SR, lang_SV, lang_TE, lang_TG, lang_TH,
+               lang_TR, lang_UK, lang_VI)
 
 CONVERTER_CLASSES = {
     'am': lang_AM.Num2Word_AM(),
     'ar': lang_AR.Num2Word_AR(),
     'az': lang_AZ.Num2Word_AZ(),
     'by': lang_BY.Num2Word_BY(),
+    'ce': lang_CE.Num2Word_CE(),
+    'cy': lang_CY.Num2Word_CY(),
     'cz': lang_CZ.Num2Word_CZ(),
     'en': lang_EN.Num2Word_EN(),
     'en_IN': lang_EN_IN.Num2Word_EN_IN(),