

import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
  if is_torch_available():
    import torch
  if is_tf_available():
    import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


A__										=      logging.get_logger(__name__)

A__										=      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

A__										=      {
    "vocab_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json",
    },
    "merges_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt",
    },
}

A__										=      {
    "Salesforce/codegen-350M-mono": 2048,
}





@lru_cache()
def 				__a							(       ):
    SCREAMING_SNAKE_CASE__         =    (
        list(range(ord("!"						)			,							ord("~"						) + 1						)						) + list(range(ord("¡"						)			,							ord("¬"						) + 1						)						) + list(range(ord("®"						)			,							ord("ÿ"						) + 1						)						)
    )
    SCREAMING_SNAKE_CASE__         =    bs[:]
    SCREAMING_SNAKE_CASE__         =    0
    for b in range(2**8						):
        if b not in bs:
            bs.append(__A						)
            cs.append(2**8 + n						)
            n += 1
    SCREAMING_SNAKE_CASE__         =    [chr(__A						) for n in cs]
    return dict(zip(__A			,							__A						)						)





def 				__a							(       __A						):
    SCREAMING_SNAKE_CASE__         =    set()
    SCREAMING_SNAKE_CASE__         =    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)						)
        SCREAMING_SNAKE_CASE__         =    char
    return pairs







class  UpperCamelCase_      (	_snake_case      ):


  """simple docstring"""
  SCREAMING_SNAKE_CASE__					:			int					    =   VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__					:			int					    =   PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__					:			Union[str, Any]					    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__					:			Union[str, Any]					    =   ["""input_ids""", """attention_mask"""]



  def __init__(						self     :					List[Any]  ,	A_     :					Tuple  ,	A_     :					int  ,	A_     :					Dict="replace"  ,	A_     :					Union[str, Any]="<|endoftext|>"  ,	A_     :					Optional[int]="<|endoftext|>"  ,	A_     :					int="<|endoftext|>"  ,	A_     :					Any=None  ,	A_     :					str=False  ,	A_     :					Optional[Any]=False  ,	**A_     :					List[Any]  ,	)       ->			List[str]:
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else bos_token
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else eos_token
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else unk_token
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else pad_token
      super().__init__(
          errors=lowerCamelCase_  ,	unk_token=lowerCamelCase_  ,	bos_token=lowerCamelCase_  ,	eos_token=lowerCamelCase_  ,	pad_token=lowerCamelCase_  ,	add_prefix_space=lowerCamelCase_  ,	add_bos_token=lowerCamelCase_  ,	**lowerCamelCase_  ,	)
      SCREAMING_SNAKE_CASE__         =    add_bos_token

      with open(lowerCamelCase_  ,	encoding="utf-8"						) as vocab_handle:
          SCREAMING_SNAKE_CASE__         =    json.load(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    {v: k for k, v in self.encoder.items()}
      SCREAMING_SNAKE_CASE__         =    errors  # how to handle errors in decoding
      SCREAMING_SNAKE_CASE__         =    bytes_to_unicode()
      SCREAMING_SNAKE_CASE__         =    {v: k for k, v in self.byte_encoder.items()}
      with open(lowerCamelCase_  ,	encoding="utf-8"						) as merges_handle:
          SCREAMING_SNAKE_CASE__         =    merges_handle.read().split("\n"						)[1:-1]
      SCREAMING_SNAKE_CASE__         =    [tuple(merge.split()						) for merge in bpe_merges]
      SCREAMING_SNAKE_CASE__         =    dict(zip(lowerCamelCase_  ,	range(len(lowerCamelCase_						)						)						)						)
      SCREAMING_SNAKE_CASE__         =    {}
      SCREAMING_SNAKE_CASE__         =    add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      SCREAMING_SNAKE_CASE__         =    re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"						)



  @property
  def   _UpperCamelCase     (						self     :					Optional[int]						)       ->			Optional[int]:
      return len(self.encoder						)



  def   _UpperCamelCase     (						self     :					List[Any]						)       ->			List[str]:
      return dict(self.encoder  ,	**self.added_tokens_encoder						)



  def   _UpperCamelCase     (						self     :					int  ,	A_     :					Union[str, Any]						)       ->			str:

      if token in self.cache:
          return self.cache[token]
      SCREAMING_SNAKE_CASE__         =    tuple(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    get_pairs(lowerCamelCase_						)

      if not pairs:
          return token

      while True:
          SCREAMING_SNAKE_CASE__         =    min(lowerCamelCase_  ,	key=lambda A_						: self.bpe_ranks.get(lowerCamelCase_  ,	float("inf"						)						)						)
          if bigram not in self.bpe_ranks:
              break
          SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__         =    bigram
          SCREAMING_SNAKE_CASE__         =    []
          SCREAMING_SNAKE_CASE__         =    0
          while i < len(lowerCamelCase_						):
              try:
                  SCREAMING_SNAKE_CASE__         =    word.index(lowerCamelCase_  ,	lowerCamelCase_						)
              except ValueError:
                  new_word.extend(word[i:]						)
                  break
              else:
                  new_word.extend(word[i:j]						)
                  SCREAMING_SNAKE_CASE__         =    j

              if word[i] == first and i < len(lowerCamelCase_						) - 1 and word[i + 1] == second:
                  new_word.append(first + second						)
                  i += 2
              else:
                  new_word.append(word[i]						)
                  i += 1
          SCREAMING_SNAKE_CASE__         =    tuple(lowerCamelCase_						)
          SCREAMING_SNAKE_CASE__         =    new_word
          if len(lowerCamelCase_						) == 1:
              break
          else:
              SCREAMING_SNAKE_CASE__         =    get_pairs(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    " ".join(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    word
      return word



  def   _UpperCamelCase     (						self     :					Union[str, Any]  ,	A_     :					Optional[Any]  ,	A_     :					str=None						)       ->			List[str]:

      if self.add_bos_token:
          SCREAMING_SNAKE_CASE__         =    [self.bos_token_id]
      else:
          SCREAMING_SNAKE_CASE__         =    []

      SCREAMING_SNAKE_CASE__         =    bos_token_ids + token_ids_a

      if token_ids_a is None:
          return output

      return output + bos_token_ids + token_ids_a



  def   _UpperCamelCase     (						self     :					Tuple  ,	A_     :					int						)       ->			int:
      SCREAMING_SNAKE_CASE__         =    []
      for token in re.findall(self.pat  ,	lowerCamelCase_						):
          SCREAMING_SNAKE_CASE__         =    "".join(
              self.byte_encoder[b] for b in token.encode("utf-8"						)						)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
          bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCamelCase_						).split(" "						)						)
      return bpe_tokens



  def   _UpperCamelCase     (						self     :					str  ,	A_     :					Optional[Any]						)       ->			str:
      return self.encoder.get(lowerCamelCase_  ,	self.encoder.get(self.unk_token						)						)



  def   _UpperCamelCase     (						self     :					Tuple  ,	A_     :					Dict						)       ->			int:
      return self.decoder.get(lowerCamelCase_						)



  def   _UpperCamelCase     (						self     :					Union[str, Any]  ,	A_     :					str						)       ->			int:
      SCREAMING_SNAKE_CASE__         =    "".join(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    bytearray([self.byte_decoder[c] for c in text]						).decode("utf-8"  ,	errors=self.errors						)
      return text



  def   _UpperCamelCase     (						self     :					str  ,	A_     :					Optional[Any]  ,	A_     :					Union[str, Any] = None						)       ->			List[str]:

      if not os.path.isdir(lowerCamelCase_						):
          logger.error(f"Vocabulary path ({save_directory}) should be a directory"						)
          return
      SCREAMING_SNAKE_CASE__         =    os.path.join(
          lowerCamelCase_  ,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
      SCREAMING_SNAKE_CASE__         =    os.path.join(
          lowerCamelCase_  ,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]						)

      with open(lowerCamelCase_  ,	"w"  ,	encoding="utf-8"						) as f:
          f.write(json.dumps(self.encoder  ,	indent=2  ,	sort_keys=lowerCamelCase_  ,	ensure_ascii=lowerCamelCase_						) + "\n"						)

      SCREAMING_SNAKE_CASE__         =    0
      with open(lowerCamelCase_  ,	"w"  ,	encoding="utf-8"						) as writer:
          writer.write("#version: 0.2\n"						)
          for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,	key=lambda A_						: kv[1]						):
              if index != token_index:
                  logger.warning(
                      f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                      " Please check that the tokenizer is not corrupted!"						)
                  SCREAMING_SNAKE_CASE__         =    token_index
              writer.write(" ".join(lowerCamelCase_						) + "\n"						)
              index += 1

      return vocab_file, merge_file



  def   _UpperCamelCase     (						self     :					Any  ,	A_     :					Union[str, Any]  ,	A_     :					Union[str, Any]=False  ,	**A_     :					List[str]						)       ->			List[str]:
      SCREAMING_SNAKE_CASE__         =    kwargs.pop("add_prefix_space"  ,	self.add_prefix_space						)
      if is_split_into_words or add_prefix_space:
          SCREAMING_SNAKE_CASE__         =    " " + text
      return (text, kwargs)



  def   _UpperCamelCase     (						self     :					List[Any]  ,	A_     :					int  ,	A_     :					Optional[int] = False  ,	A_     :					Union[str, Any] = None  ,	A_     :					int = None  ,	**A_     :					Any  ,	)       ->			int:
      SCREAMING_SNAKE_CASE__         =    super()._decode(
          token_ids=lowerCamelCase_  ,	skip_special_tokens=lowerCamelCase_  ,	clean_up_tokenization_spaces=lowerCamelCase_  ,	**lowerCamelCase_  ,	)

      if truncate_before_pattern is not None and len(lowerCamelCase_						) > 0:
          SCREAMING_SNAKE_CASE__         =    self.truncate(lowerCamelCase_  ,	lowerCamelCase_						)

      return decoded_text







  def   _UpperCamelCase     (						self     :					str  ,	A_     :					Tuple  ,	A_     :					Union[str, Any]						)       ->			Any:

      def find_re(A_     :					Dict  ,	A_     :					Union[str, Any]  ,	A_     :					Dict						):
          SCREAMING_SNAKE_CASE__         =    pattern.search(lowerCamelCase_  ,	lowerCamelCase_						)
          return m.start() if m else -1

      SCREAMING_SNAKE_CASE__         =    [re.compile(lowerCamelCase_  ,	re.MULTILINE						) for pattern in truncate_before_pattern]

      SCREAMING_SNAKE_CASE__         =    list(re.finditer("^print"  ,	lowerCamelCase_  ,	re.MULTILINE						)						)

      if len(lowerCamelCase_						) > 1:
          SCREAMING_SNAKE_CASE__         =    completion[: prints[1].start()]

      SCREAMING_SNAKE_CASE__         =    list(re.finditer("^def"  ,	lowerCamelCase_  ,	re.MULTILINE						)						)

      if len(lowerCamelCase_						) > 1:
          SCREAMING_SNAKE_CASE__         =    completion[: defs[1].start()]

      SCREAMING_SNAKE_CASE__         =    0

      SCREAMING_SNAKE_CASE__         =    [
          pos for pos in [find_re(lowerCamelCase_  ,	lowerCamelCase_  ,	lowerCamelCase_						) for terminal in terminals] if pos != -1
      ]

      if len(lowerCamelCase_						) > 0:
          return completion[: min(lowerCamelCase_						)]
      else:
          return completion







from .pipeline_kandinskya_a import KandinskyVaaPipeline
from .pipeline_kandinsky2_2_controlnet import KandinskyVaaControlnetPipeline
from .pipeline_kandinsky2_2_controlnet_img2img import KandinskyVaaControlnetImgaImgPipeline
from .pipeline_kandinsky2_2_img2img import KandinskyVaaImgaImgPipeline
from .pipeline_kandinsky2_2_inpainting import KandinskyVaaInpaintPipeline
from .pipeline_kandinsky2_2_prior import KandinskyVaaPriorPipeline
from .pipeline_kandinsky2_2_prior_emb2emb import KandinskyVaaPriorEmbaEmbPipeline
