Delete extra test file (#7681)

test_tokenization_blenderbot.py

-import json
-import os
-import unittest
-
-from transformers.testing_utils import slow
-from transformers.tokenization_blenderbot import VOCAB_FILES_NAMES, BlenderbotTokenizer, BlenderbotSmallTokenizer
-
-from .test_tokenization_common import TokenizerTesterMixin
-
-class BlenderbotSmallTokenizerTest(TokenizerTesterMixin, unittest.TestCase):
-    
-    tokenizer_class = BlenderbotSmallTokenizer
-
-    def setUp(self):
-        super().setUp()
-
-        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
-        vocab = ["adapt", "react", "read@@", "ap@@", "t", "__unk__", "__start__", "__end__", "__null__"]
-        vocab_tokens = dict(zip(vocab, range(len(vocab))))
-        merges = ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
-        self.special_tokens_map = {"bos_token": "__start", "eos_token": "__end__", "pad_token": "__null__", "unk_token": "__unk__"}
-
-        self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
-        self.merges_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["merges_file"])
-        with open(self.vocab_file, "w", encoding="utf-8") as fp:
-            fp.write(json.dumps(vocab_tokens) + "\n")
-        with open(self.merges_file, "w", encoding="utf-8") as fp:
-            fp.write("\n".join(merges))
-
-    def get_tokenizer(self, **kwargs):
-        kwargs.update(self.special_tokens_map)
-        return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname, **kwargs)
-
-    def get_input_output_texts(self, tokenizer):
-        input_text = "adapt react readapt apt"
-        output_text = "adapt react readapt apt"
-        return input_text, output_text
-    
-    def test_full_blenderbot_small_tokenizer(self):
-        tokenizer = BlenderbotSmallTokenizer(self.vocab_file, self.merges_file, **self.special_tokens_map)
-        text = "adapt react readapt apt"
-        bpe_tokens = ['adapt', 'react', 'read@@', 'ap@@', 't', 'ap@@', 't']
-        tokens = tokenizer.tokenize(text)
-        self.assertListEqual(tokens, bpe_tokens)
-
-        input_tokens = [tokenizer.bos_token] + tokens + [tokenizer.eos_token]
-        print(input_tokens)
-
-        # input_bpe_tokens = [0, 1, 2, 4, 5, 1, 0, 3, 6]
-        # self.assertListEqual(tokenizer.convert_tokens_to_ids(input_tokens), input_bpe_tokens)