prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Incorrect lemma from lemmatizer
  **Right:**
  `[w.lemma_ for w in nlp('funnier')]` -> `['funny']` 
  
  **Wrong:**
  `[w.lemma_ for w in nlp('faster')]` ->`['faster']`
  
  I think for word _faster_ lemma should be _fast_
  
  </issue>
  <code>
  [start of spacy/lang/en/lemmatizer/_adverbs_irreg.py]
  1 # coding: utf8
  2 from __future__ import unicode_literals
  3 
  4 
  5 ADVERBS_IRREG = {
  6     "best": ("well",),
  7     "better": ("well",),
  8     "deeper": ("deeply",),
  9     "farther": ("far",),
  10     "further": ("far",),
  11     "harder": ("hard",),
  12     "hardest": ("hard",),
  13 }
  14
  [end of spacy/lang/en/lemmatizer/_adverbs_irreg.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/spacy/lang/en/lemmatizer/_adverbs_irreg.py b/spacy/lang/en/lemmatizer/_adverbs_irreg.py
  --- a/spacy/lang/en/lemmatizer/_adverbs_irreg.py
  +++ b/spacy/lang/en/lemmatizer/_adverbs_irreg.py
  @@ -5,9 +5,27 @@
   ADVERBS_IRREG = {
       "best": ("well",),
       "better": ("well",),
  +    "closer": ("close",),
  +    "closest": ("close",),
       "deeper": ("deeply",),
  +    "earlier": ("early",),
  +    "earliest": ("early",),
       "farther": ("far",),
       "further": ("far",),
  +    "faster": ("fast",),
  +    "fastest": ("fast",),
       "harder": ("hard",),
       "hardest": ("hard",),
  +    "longer": ("long",),
  +    "longest": ("long",),
  +    "nearer": ("near",),
  +    "nearest": ("near",),
  +    "nigher": ("nigh",),
  +    "nighest": ("nigh",),
  +    "quicker": ("quick",),
  +    "quickest": ("quick",),
  +    "slower": ("slow",),
  +    "slowest": ("slowest",),
  +    "sooner": ("soon",),
  +    "soonest": ("soon",)
   }
  
verification_info: {"golden_diff": "diff --git a/spacy/lang/en/lemmatizer/_adverbs_irreg.py b/spacy/lang/en/lemmatizer/_adverbs_irreg.py\n--- a/spacy/lang/en/lemmatizer/_adverbs_irreg.py\n+++ b/spacy/lang/en/lemmatizer/_adverbs_irreg.py\n@@ -5,9 +5,27 @@\n ADVERBS_IRREG = {\n     \"best\": (\"well\",),\n     \"better\": (\"well\",),\n+    \"closer\": (\"close\",),\n+    \"closest\": (\"close\",),\n     \"deeper\": (\"deeply\",),\n+    \"earlier\": (\"early\",),\n+    \"earliest\": (\"early\",),\n     \"farther\": (\"far\",),\n     \"further\": (\"far\",),\n+    \"faster\": (\"fast\",),\n+    \"fastest\": (\"fast\",),\n     \"harder\": (\"hard\",),\n     \"hardest\": (\"hard\",),\n+    \"longer\": (\"long\",),\n+    \"longest\": (\"long\",),\n+    \"nearer\": (\"near\",),\n+    \"nearest\": (\"near\",),\n+    \"nigher\": (\"nigh\",),\n+    \"nighest\": (\"nigh\",),\n+    \"quicker\": (\"quick\",),\n+    \"quickest\": (\"quick\",),\n+    \"slower\": (\"slow\",),\n+    \"slowest\": (\"slowest\",),\n+    \"sooner\": (\"soon\",),\n+    \"soonest\": (\"soon\",)\n }\n", "issue": "Incorrect lemma from lemmatizer\n**Right:**\r\n`[w.lemma_ for w in nlp('funnier')]` -> `['funny']` \r\n\r\n**Wrong:**\r\n`[w.lemma_ for w in nlp('faster')]` ->`['faster']`\r\n\r\nI think for word _faster_ lemma should be _fast_\n", "before_files": [{"content": "# coding: utf8\nfrom __future__ import unicode_literals\n\n\nADVERBS_IRREG = {\n    \"best\": (\"well\",),\n    \"better\": (\"well\",),\n    \"deeper\": (\"deeply\",),\n    \"farther\": (\"far\",),\n    \"further\": (\"far\",),\n    \"harder\": (\"hard\",),\n    \"hardest\": (\"hard\",),\n}\n", "path": "spacy/lang/en/lemmatizer/_adverbs_irreg.py"}]}