

import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin


@require_phonemizer
class 				SCREAMING_SNAKE_CASE__ (__snake_case		,	unittest.TestCase					):
    __lowerCamelCase						:	int														=					WavaVecaPhonemeCTCTokenizer
    __lowerCamelCase						:	Tuple														=					False





    def 				snake_case_    (				self):
         super().setUp()

         lowercase__   :       Optional[int]				=	(
             '<s> <pad> </s> <unk> n s t ə l a i k d m ɛ ɾ e ɪ p o ɐ z ð f j v b ɹ ʁ ʊ iː r w ʌ u ɡ æ aɪ ʃ h ɔ ɑː '
             'ŋ ɚ eɪ β uː y ɑ̃ oʊ ᵻ eː θ aʊ ts oː ɔ̃ ɣ ɜ ɑ dʒ əl x ɜː ç ʒ tʃ ɔː ɑːɹ ɛ̃ ʎ ɔːɹ ʋ aː ɕ œ ø oːɹ ɲ yː '
             'ʔ iə i5 s. tɕ ?? nʲ ɛː œ̃ ɭ ɔø ʑ tʲ ɨ ɛɹ ts. rʲ ɪɹ ɭʲ i.5 ɔɪ q sʲ u5 ʊɹ iɜ a5 iɛ5 øː ʕ ja əɜ th ɑ5 '
             'oɪ dʲ ə5 tɕh ts.h mʲ ɯ dʑ vʲ e̞ tʃʲ ei5 o5 onɡ5 ɑu5 iɑ5 ai5 aɪɚ kh ə1 ʐ i2 ʉ ħ t[ aɪə ʲ ju ə2 u2 oɜ '
             'pː iɛɜ ou5 y5 uɜ tː uo5 d[ uoɜ tsh ɑɜ ɵ i̪5 uei5 ɟ aɜ ɑɨ i.ɜ eʊ o2 ɐ̃ ä pʲ kʲ n̩ ɒ ph ɑu2 uɨ əɪ ɫ ɬ '
             'yɜ bʲ ɑ2 s̪ aiɜ χ ɐ̃ʊ̃ 1 ə4 yæɜ a2 ɨː t̪ iouɜ ũ onɡɜ aɨ iɛ2 ɔɨ ɑuɜ o̞ ei2 iou2 c kː y2 ɖ oe dˤ yɛɜ '
             'əʊ S ɡʲ onɡ2 u" eiɜ ʈ ɯᵝ iou5 dZ r̝̊ i.2 tS s^ ʝ yə5 iɑɜ uə5 pf ɨu iɑ2 ou2 ər2 fʲ ai2 r̝ uəɜ ɳ əɨ '
             'ua5 uɪ ɽ bː yu5 uo2 yɛ5 l̩ ɻ ərɜ ʂ i̪2 ouɜ uaɜ a. a.ː yæ5 dː r̩ ee ɪu ər5 i̪ ɜ æi u: i.ː t^ o1 ɪ^ '
             'ai ueiɜ æː ɛɪ eə i. ɴ ie ua2 ɑ1 o4 tʃː o: ɑ: u1 N i̪1 au yæ2 u. qː yəɜ y: kʰ tʃʰ iʊ sx õ uo tʰ '
             'uai5 bʰ u.ː uə2 ʊə d^ s̪ː yiɜ dʰ r. oe: i1 ɟː yu2 nʲʲ i̪4 uei2 tsʲ ɸ ĩ ɑ4 t̪ː eɑ u4 e: tsː ʈʰ ɡʰ '
             'ɯɯ dʒʲ ʂʲ X ɵː uaiɜ tɕʲ ã t^ː ẽː yɛ2 cː i.1 ɛʊ dˤdˤ dʒː i4 ɡː yi ɕʲ ɟʰ pʰ dʑʲ yuɜ ua1 ua4 æiː ɐɐ '
             'ui iou1 ʊː a1 iou4 cʰ iɛ1 yə2 ɖʰ ẽ ʒʲ ää ər4 iːː ɪː iɑ1 ər1 œː øi ɪuː cʰcʰ əː1 iː1 ũ kʰː o̞o̞ xʲ '
             'ou1 iɛ4 e̞e̞ y1 dzː dʲʲ dʰː ɯᵝɯᵝ lː uo1 i.4 i: yɛ5ʲ a4'
         ).split(' ')
         lowercase__   :       str				=	dict(zip(a						,       range(len(a))))

         lowercase__   :       Union[str, Any]				=	{'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

         lowercase__   :       Optional[Any]				=	os.path.join(self.tmpdirname						,       VOCAB_FILES_NAMES['vocab_file'])
         with open(self.vocab_file						,       'w'						,       encoding='utf-8') as fp:
              fp.write(json.dumps(a) + '\n')





    def 				snake_case_    (				self						,       a						,       a=False						,       a=20						,       a=5):
         lowercase__   :       int				=	[(i, tokenizer.decode([i]						,       clean_up_tokenization_spaces=a)) for i in range(len(a))]
         lowercase__   :       List[Any]				=	list(filter(lambda a: [t[0]] == tokenizer.encode(t[1]						,       do_phonemize=a)						,       a))
         if max_length is not None and len(a) > max_length:
              lowercase__   :       str				=	toks[:max_length]
         if min_length is not None and len(a) < min_length and len(a) > 0:
              while len(a) < min_length:
                   lowercase__   :       Dict				=	toks + toks
        # toks_str = [t[1] for t in toks]
         lowercase__   :       Optional[int]				=	[t[0] for t in toks]

         # Ensure consistency
         lowercase__   :       str				=	tokenizer.decode(a						,       clean_up_tokenization_spaces=a)
         if " " not in output_txt and len(a) > 1:
              lowercase__   :       Dict				=	(
                  tokenizer.decode([toks_ids[0]]						,       clean_up_tokenization_spaces=a)
                  + ' '
                  + tokenizer.decode(toks_ids[1:]						,       clean_up_tokenization_spaces=a)
              )
         if with_prefix_space:
              lowercase__   :       str				=	' ' + output_txt
         lowercase__   :       Optional[int]				=	tokenizer.encode(a						,       add_special_tokens=a)
         return output_txt, output_ids





    def 				snake_case_    (				self						,       **a):
         kwargs.update(self.special_tokens_map)
         return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname						,       **a)





    def 				snake_case_    (				self):
         lowercase__   :       Dict				=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')

         # check adding a single token
         tokenizer.add_tokens('xxx')
         lowercase__   :       List[Any]				=	tokenizer('m xxx ɪ'						,       do_phonemize=a).input_ids
         self.assertEqual(a						,       [13, 392, 17])  # xxx should be last token

         tokenizer.add_tokens(['aaa', 'bbb', 'ccc'])
         lowercase__   :       List[str]				=	tokenizer('m aaa ɪ ccc'						,       do_phonemize=a).input_ids
         self.assertEqual(a						,       [13, 393, 17, 395])  # aaa and ccc should be after xxx and 2 after aaa

         lowercase__   :       List[Any]				=	tokenizer('maɪ c'						,       do_phonemize=a).input_ids
         self.assertEqual(a						,       [3, 200])  # mai should be <unk> (=3)





    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')

         lowercase__   :       Tuple				=	'Hello how are you'
         lowercase__   :       int				=	tokenizer.phonemize(a						,       phonemizer_lang='en-us')
         self.assertEqual(a						,       'h ə l oʊ h aʊ ɑːɹ j uː')





    def 				snake_case_    (				self):
         lowercase__   :       Union[str, Any]				=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')

         lowercase__   :       Union[str, Any]				=	'Hello how are you'
         lowercase__   :       List[Any]				=	tokenizer.phonemize(a						,       phonemizer_lang='en-us')
         self.assertEqual(tokenizer(a).input_ids						,       tokenizer(a						,       do_phonemize=a).input_ids)





    def 				snake_case_    (				self):
         lowercase__   :       Optional[Any]				=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')
         lowercase__   :       Optional[int]				=	'Hello how are you'
         lowercase__   :       Tuple				=	tokenizer.phonemize(a						,       phonemizer_lang='en-us')

         lowercase__   :       Dict				=	tokenizer.decode(tokenizer(a).input_ids)

         self.assertEqual(a						,       a)





    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')

         lowercase__   :       str				=	[
             [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
             [24, 22, 5, 24, 22, 5, 77],
         ]
         lowercase__   :       int				=	tokenizer.decode(sample_ids[0])
         lowercase__   :       Dict				=	tokenizer.batch_decode(a)
         self.assertEqual(a						,       batch_tokens[0])
         self.assertEqual(a						,       ['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ'])





    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'						,       word_delimiter_token='|')
         tokenizer.add_tokens('|')

         lowercase__   :       Any				=	'Hello how are you'
         lowercase__   :       List[Any]				=	tokenizer.phonemize(a						,       phonemizer_lang='en-us')
         self.assertEqual(a						,       'h ə l oʊ | h aʊ | ɑːɹ | j uː |')





    def 				snake_case_    (				self):
         lowercase__   :       List[Any]				=	self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'						,       word_delimiter_token='|')
         tokenizer.add_tokens('|')

         lowercase__   :       Any				=	'Hello how are you'
         lowercase__   :       Optional[Any]				=	tokenizer.phonemize(a						,       phonemizer_lang='en-us')
         self.assertEqual(tokenizer(a).input_ids						,       tokenizer(a						,       do_phonemize=a).input_ids)





    def 				snake_case_    (				self):
         lowercase__   :       int				=	self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'						,       word_delimiter_token='|')
         tokenizer.add_tokens('|')

         # fmt: off
         lowercase__   :       List[str]				=	[
             [11, 5, 15, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 15, 8, tokenizer.word_delimiter_token_id, 98],
             [tokenizer.word_delimiter_token_id, 24, 22, tokenizer.word_delimiter_token_id, 5, 24, 22, 5, 77],
         ]
         # fmt: on

         # decode with word_del_token filter
         lowercase__   :       Dict				=	tokenizer.decode(sample_ids[0])
         lowercase__   :       List[str]				=	tokenizer.batch_decode(a)
         self.assertEqual(a						,       batch_tokens[0])
         self.assertEqual(a						,       ['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ'])

         # decode with no word_del_token filter
         lowercase__   :       Optional[Any]				=	tokenizer.decode(sample_ids[0]						,       filter_word_delimiter_token=a)
         lowercase__   :       List[Any]				=	tokenizer.batch_decode(a						,       filter_word_delimiter_token=a)
         self.assertEqual(a						,       batch_tokens[0])
         self.assertEqual(a						,       ['k s ɾ | ɾ l | ɭʲ', '| j ð | s j ð s oːɹ'])





    def 				snake_case_    (				self):
         lowercase__   :       Optional[Any]				=	self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'						,       word_delimiter_token='|')
         tokenizer.add_tokens('|')

         lowercase__   :       List[Any]				=	'Hello how are you'
         lowercase__   :       List[Any]				=	tokenizer.phonemize(a						,       phonemizer_lang='en-us')

         lowercase__   :       Dict				=	tokenizer.decode(tokenizer(a).input_ids						,       filter_word_delimiter_token=a)

         self.assertEqual(a						,       a)





    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'						,       word_delimiter_token='|')
         tokenizer.add_tokens('|')

         lowercase__   :       Optional[int]				=	'Hello how are you'
         lowercase__   :       int				=	tokenizer.phonemize(a						,       phonemizer_lang='en-us')

         lowercase__   :       List[str]				=	tokenizer.decode(tokenizer(a).input_ids						,       filter_word_delimiter_token=a)

         self.assertEqual(' '.join([p.strip() for p in phonemes.split(' |')]).strip()						,       a)





    def 				snake_case_    (				self):
         lowercase__   :       Any				=	self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'						,       word_delimiter_token=a)
         lowercase__   :       Tuple				=	'Hello how are you'

         lowercase__   :       Optional[Any]				=	tokenizer(a						,       phonemizer_lang='en-us').input_ids
         lowercase__   :       Any				=	tokenizer(a						,       phonemizer_lang='fr-fr').input_ids

         self.assertNotEqual(a						,       a)

         lowercase__   :       Optional[Any]				=	tokenizer.decode(a)
         lowercase__   :       Optional[Any]				=	tokenizer.decode(a)

         self.assertEqual(a						,       'h ə l oʊ h aʊ ɑːɹ j uː')
         self.assertEqual(a						,       'ɛ l o h aʊ a ʁ j u')





    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')
         lowercase__   :       Optional[Any]				=	'Hello how Are you'
         lowercase__   :       List[Any]				=	'hello how are you'

         lowercase__   :       int				=	tokenizer(a).input_ids
         lowercase__   :       Optional[int]				=	tokenizer(a).input_ids

         self.assertEqual(a						,       a)





    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')
         tokenizer.add_tokens(['!', '?'])
         tokenizer.add_special_tokens({'cls_token': '$$$'})

         # fmt: off
         lowercase__   :       Dict				=	[
             [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 392, 392, 393, 392, 392, 393, 394, 394],
             [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
         ]
         # fmt: on

         lowercase__   :       Union[str, Any]				=	tokenizer.batch_decode(a)
         self.assertEqual(a						,       ['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$'])





    @staticmethod
    def 				snake_case_    (				a						,       a):
         lowercase__   :       Tuple				=	[d[key] for d in offsets]
         return retrieved_list





    def 				snake_case_    (				self):
         lowercase__   :       str				=	self.get_tokenizer(word_delimiter_token='|')
         tokenizer.add_tokens('|')

         # fmt: off
         # ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
         lowercase__   :       Dict				=	[11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
         # fmt: on

         lowercase__   :       Tuple				=	tokenizer.decode(a						,       output_char_offsets=a						,       filter_word_delimiter_token=a)
         # check Wav2Vec2CTCTokenizerOutput keys for char
         self.assertEqual(len(outputs.keys())						,       2)
         self.assertTrue('text' in outputs)
         self.assertTrue('char_offsets' in outputs)
         self.assertTrue(isinstance(a						,       a))

         # check that order of chars is correct and identical for both outputs
         self.assertEqual(' '.join(self.get_from_offsets(outputs['char_offsets']						,       'char'))						,       outputs.text)
         self.assertListEqual(
             self.get_from_offsets(outputs['char_offsets']						,       'char')						,       ['k', 's', 'ɾ', 'ɾ', '|', 'ɾ', 'l', '|', 'ɭʲ'])

         # check that offsets are actually correct for char
         # 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
         # 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
         self.assertListEqual(
             self.get_from_offsets(outputs['char_offsets']						,       'start_offset')						,       [0, 1, 4, 7, 9, 11, 12, 15, 16])
         self.assertListEqual(
             self.get_from_offsets(outputs['char_offsets']						,       'end_offset')						,       [1, 4, 6, 9, 10, 12, 15, 16, 17])





    def 				snake_case_    (				self):
         lowercase__   :       Dict				=	self.get_tokenizer(word_delimiter_token='|')

         def check_list_tuples_equal(a						,       a):
              self.assertTrue(isinstance(a						,       a))
              self.assertTrue(isinstance(outputs_list[0]						,       a))

              # transform list to ModelOutput
              lowercase__   :       Union[str, Any]				=	WavaVecaPhonemeCTCTokenizerOutput(
                  {k: [d[k] for d in outputs_list] for k in outputs_list[0]})

              self.assertListEqual(outputs_batch['text']						,       outputs_batch_a['text'])

              def recursive_check(a						,       a):
                   if isinstance(a						,       a):
                        [recursive_check(a						,       a) for la, la in zip(a						,       a)]
                   self.assertEqual(a						,       a)

              if "char_offsets" in outputs_batch:
                   recursive_check(outputs_batch['char_offsets']						,       outputs_batch_a['char_offsets'])

        # fmt: off
         lowercase__   :       List[str]				=	[
             [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
             [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
         ]
         # fmt: on

         # We assume that `decode` works as expected. All we will check now is
         # the output type is correct and the output is identical to `decode`

         # char
         lowercase__   :       str				=	tokenizer.batch_decode(a						,       output_char_offsets=a)
         lowercase__   :       Tuple				=	[tokenizer.decode(a						,       output_char_offsets=a) for ids in sample_ids]
         check_list_tuples_equal(a						,       a)





    @unittest.skip('Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes')
    def 				snake_case_    (				self):
         pass





    @unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes')
    def 				snake_case_    (				self):
         pass





    @unittest.skip('encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency')
    def 				snake_case_    (				self):
         pass





    @unittest.skip('Wav2Vec2PhonemeModel has no max model length => no testing')
    def 				snake_case_    (				self):
         pass





    def 				snake_case_    (				self):
         lowercase__   :       List[Any]				=	self.get_tokenizers(do_lower_case=a)
         for tokenizer in tokenizers:
              with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                   lowercase__   :       Any				=	tokenizer.vocab_size
                   lowercase__   :       Tuple				=	len(a)

                   self.assertNotEqual(a						,       0)

                   # We usually have added tokens from the start in tests because our vocab fixtures are
                   # smaller than the original vocabs - let's not assert this
                   # self.assertEqual(vocab_size, all_size)

                   lowercase__   :       Optional[int]				=	['aaaaa bbbbbb', 'cccccccccdddddddd']
                   lowercase__   :       Dict				=	tokenizer.add_tokens(a)
                   lowercase__   :       int				=	tokenizer.vocab_size
                   lowercase__   :       Tuple				=	len(a)

                   self.assertNotEqual(a						,       0)
                   self.assertEqual(a						,       a)
                   self.assertEqual(a						,       len(a))
                   self.assertEqual(a						,       all_size + len(a))

                   lowercase__   :       Dict				=	tokenizer.encode('aaaaa bbbbbb low cccccccccdddddddd l'						,       add_special_tokens=a)

                   self.assertGreaterEqual(len(a)						,       4)
                   self.assertGreater(tokens[0]						,       tokenizer.vocab_size - 1)
                   self.assertGreater(tokens[-3]						,       tokenizer.vocab_size - 1)

                   lowercase__   :       str				=	{'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
                   lowercase__   :       Tuple				=	tokenizer.add_special_tokens(a)
                   lowercase__   :       Dict				=	tokenizer.vocab_size
                   lowercase__   :       int				=	len(a)

                   self.assertNotEqual(a						,       0)
                   self.assertEqual(a						,       a)
                   self.assertEqual(a						,       len(a))
                   self.assertEqual(a						,       all_size_a + len(a))

                   lowercase__   :       List[str]				=	tokenizer.encode(
                       '>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'						,       add_special_tokens=a)

                   self.assertGreaterEqual(len(a)						,       6)
                   self.assertGreater(tokens[0]						,       tokenizer.vocab_size - 1)
                   self.assertGreater(tokens[0]						,       tokens[1])
                   self.assertGreater(tokens[-3]						,       tokenizer.vocab_size - 1)
                   self.assertGreater(tokens[-3]						,       tokens[-4])
                   self.assertEqual(tokens[0]						,       tokenizer.eos_token_id)
                   self.assertEqual(tokens[-3]						,       tokenizer.pad_token_id)





    @unittest.skip('The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.')
    def 				snake_case_    (				self):
         pass





    @unittest.skip('The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.')
    def 				snake_case_    (				self):
         pass





    def 				snake_case_    (				self):
         # The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
         # is not the case for Wav2Vec2PhonemeCTCTokenizer.
         lowercase__   :       List[str]				=	self.get_tokenizers(fast=a						,       do_lower_case=a)
         for tokenizer in tokenizers:
              with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                   lowercase__   :       Dict				=	['ð', 'ɪ', 's', 'ɪ', 'z', 'ɐ', 't', 'ɛ', 'k', 's', 't']
                   lowercase__   :       str				=	tokenizer.convert_tokens_to_string(a)

                   self.assertIsInstance(output['text']						,       a)




import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


snake_case_        =			False
snake_case_        =			True
snake_case_        =			False


if __name__ == "__main__":
       snake_case_        =			argparse.ArgumentParser()

       parser.add_argument(
           '''--repo_path''',
           default=None,
           type=str,
           required=True,
           help='''The config json file corresponding to the architecture.''',
       )

       parser.add_argument('''--dump_path''', default=None, type=str, required=True, help='''Path to the output model.''')

       snake_case_        =			parser.parse_args()

       snake_case_        =			{
           '''image_size''': '''sample_size''',
           '''num_res_blocks''': '''layers_per_block''',
           '''block_channels''': '''block_out_channels''',
           '''down_blocks''': '''down_block_types''',
           '''up_blocks''': '''up_block_types''',
           '''downscale_freq_shift''': '''freq_shift''',
           '''resnet_num_groups''': '''norm_num_groups''',
           '''resnet_act_fn''': '''act_fn''',
           '''resnet_eps''': '''norm_eps''',
           '''num_head_channels''': '''attention_head_dim''',
       }

       snake_case_        =			{
           '''time_steps''': '''time_proj''',
           '''mid''': '''mid_block''',
           '''downsample_blocks''': '''down_blocks''',
           '''upsample_blocks''': '''up_blocks''',
       }

       snake_case_        =			'''''' if has_file(args.repo_path, '''config.json''') else '''unet'''

       with open(os.path.join(args.repo_path, subfolder, '''config.json'''), '''r''', encoding='''utf-8''') as reader:
              snake_case_        =			reader.read()
              snake_case_        =			json.loads(text)

       if do_only_config:
              for key in config_parameters_to_change.keys():
                     config.pop(key, None)

       if has_file(args.repo_path, '''config.json'''):
              snake_case_        =			UNetaDModel(**config)
       else:
              snake_case_        =			UNetaDConditionModel if '''ldm-text2im-large-256''' in args.repo_path else UNetaDModel
              snake_case_        =			class_name(**config)

       if do_only_config:
              model.save_config(os.path.join(args.repo_path, subfolder))

       snake_case_        =			dict(model.config)

       if do_only_renaming:
              for key, value in config_parameters_to_change.items():
                     if key in config:
                            snake_case_        =			config[key]
                            del config[key]

              snake_case_        =			[k.replace('''UNetRes''', '''''') for k in config['''down_block_types''']]
              snake_case_        =			[k.replace('''UNetRes''', '''''') for k in config['''up_block_types''']]

       if do_only_weights:
              snake_case_        =			torch.load(os.path.join(args.repo_path, subfolder, '''diffusion_pytorch_model.bin'''))

              snake_case_        =			{}
              for param_key, param_value in state_dict.items():
                     if param_key.endswith('''.op.bias''') or param_key.endswith('''.op.weight'''):
                            continue
                     snake_case_        =			False
                     for key, new_key in key_parameters_to_change.items():
                            if not has_changed and param_key.split('''.''')[0] == key:
                                   snake_case_        =			param_value
                                   snake_case_        =			True
                     if not has_changed:
                            snake_case_        =			param_value

              model.load_state_dict(new_state_dict)
              model.save_pretrained(os.path.join(args.repo_path, subfolder))

