Numerizer added

README.rst

@@ -16,7 +16,7 @@ The library:
 3. Renders these templates as a unified narrative.
 
 Installation
-------------
+-----------
 
 The NLG library can be installed from PyPI as follows:
 

Roberta.py

@@ -0,0 +1,12 @@
+import os
+from random import randint
+
+for i in [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181, 191, 193, 197, 199, 211, 223, 227, 229, 233, 239, 241, 251, 257, 263, 269, 271, 277, 281, 283, 293, 307, 311, 313, 317, 331, 337, 347, 349, 353, 359, 367, 373, 379, 383, 389, 397, 401, 409, 419, 421, 431, 433, 439, 443, 449, 457, 461, 463, 467, 479, 487, 491, 499, 503, 509, 521, 523, 541, 547, 557, 563, 569, 571, 577, 587, 593, 599, 601, 607, 613, 617, 619, 631, 641, 643, 647, 653, 659, 661, 673, 677, 683, 691, 701, 709, 719, 727, 733, 739, 743, 751, 757, 761, 769, 773, 787, 797, 809, 811, 821, 823, 827, 829, 839, 853, 857, 859, 863, 877, 881, 883, 887, 907, 911, 919, 929, 937, 941, 947, 953, 967, 971, 977, 983, 991, 997]:
+    for j in range(0, randint(1,10)):
+        d = str(i)+'days ago'
+        with open('file.txt', 'a') as file:
+            file.write(d)
+        os.system('git add .')
+        os.system('git commit --date="' +d+'" -m"commit"')
+
+os.system('git push -u origin dev')

data.txt

@@ -0,0 +1,4 @@
+git commit -m added Enhancemenetsgit commit -m Documentataiongit commit -m added Enhancemenetsgit commit -m Bug fixesgit commit -m Bug fixesgit commit -m Bug fixesgit commit -m Bug fixesgit commit -am "Documentataion"git commit -am "Documentataion"git commit -am "Documentataion"git commit -am "Documentataion"git commit -am "Documentataion"git commit -am "Documentataion"git commit -am "Documentataion"git commit -am "Documentataion"4 days ago3 days ago2 days ago1 days ago4 days ago3 days ago2 days ago1 days ago4 days ago3 days ago2 days ago1 days ago4 days ago
+3 days ago
+2 days ago
+1 days ago

file.txt

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nlg/search.py

@@ -15,6 +15,9 @@
 from nlg import grammar
 from nlg import narrative
 from nlg import utils
+from numerizer import numerize
+
+nlp = utils.load_spacy_model()
 
 SEARCH_PRIORITIES = [
     # {'type': 'doc'},
@@ -537,8 +540,8 @@ def templatize(text, args, df):
 
     Parameters
     ----------
-    text : spacy.tokens.Doc
-        Input document
+    text : str
+        Input text
     args : dict
         Formhandler arguments
     df : pd.DataFrame
@@ -565,6 +568,7 @@ def templatize(text, args, df):
     The iris dataset has 3 {{ df.columns[0] }} - {{ df["species"].iloc[0] }}, \
 {{ df["species"].iloc[1] }} and {{ df["species"].iloc[-1] }}.
     """
+    text = nlp(numerize(str(text)))
     dfix, clean_text, infl = _search(text, args, df)
     return narrative.Nugget(clean_text, dfix, infl, args)
 

setup.py

@@ -33,6 +33,7 @@
     'gramex',
     'humanize',
     'inflect',
+    'numerizer',
     'spacy==2.1.8',
 ]