

import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union

import pandas as pd
import pyarrow as pa

import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast
from datasets.utils.py_utils import Literal


lowerCAmelCase__       = datasets.utils.logging.get_logger(__name__)

lowerCAmelCase__       = ["names", "prefix"]
lowerCAmelCase__       = ["warn_bad_lines", "error_bad_lines", "mangle_dupe_cols"]
lowerCAmelCase__       = ["encoding_errors", "on_bad_lines"]
lowerCAmelCase__       = ["date_format"]






@dataclass
class 						__magic_name__    (       datasets.BuilderConfig    ):
 UpperCAmelCase							    =						","
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						"infer"
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						False
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						False
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						"."
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						'"'
 UpperCAmelCase							    =						0
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						0
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						False
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						10_000
 UpperCAmelCase							    =						None
 UpperCAmelCase							    =						"strict"
 UpperCAmelCase							    =						"error"
 UpperCAmelCase							    =						None


 def _UpperCamelCase	(						self		: Optional[int]    )    ->      Tuple:
   if self.delimiter is not None:
     UpperCAmelCase					      =  self.delimiter
   if self.column_names is not None:
     UpperCAmelCase					      =  self.column_names


 @property
 def _UpperCamelCase	(						self		: Optional[int]    )    ->      List[Any]:
   UpperCAmelCase					      =  {
       "sep": self.sep,
       "header": self.header,
       "names": self.names,
       "index_col": self.index_col,
       "usecols": self.usecols,
       "prefix": self.prefix,
       "mangle_dupe_cols": self.mangle_dupe_cols,
       "engine": self.engine,
       "converters": self.converters,
       "true_values": self.true_values,
       "false_values": self.false_values,
       "skipinitialspace": self.skipinitialspace,
       "skiprows": self.skiprows,
       "nrows": self.nrows,
       "na_values": self.na_values,
       "keep_default_na": self.keep_default_na,
       "na_filter": self.na_filter,
       "verbose": self.verbose,
       "skip_blank_lines": self.skip_blank_lines,
       "thousands": self.thousands,
       "decimal": self.decimal,
       "lineterminator": self.lineterminator,
       "quotechar": self.quotechar,
       "quoting": self.quoting,
       "escapechar": self.escapechar,
       "comment": self.comment,
       "encoding": self.encoding,
       "dialect": self.dialect,
       "error_bad_lines": self.error_bad_lines,
       "warn_bad_lines": self.warn_bad_lines,
       "skipfooter": self.skipfooter,
       "doublequote": self.doublequote,
       "memory_map": self.memory_map,
       "float_precision": self.float_precision,
       "chunksize": self.chunksize,
       "encoding_errors": self.encoding_errors,
       "on_bad_lines": self.on_bad_lines,
       "date_format": self.date_format,
   }

   # some kwargs must not be passed if they don't have a default value
   # some others are deprecated and we can also not pass them if they are the default value
   for pd_read_csv_parameter in _PANDAS_READ_CSV_NO_DEFAULT_PARAMETERS + _PANDAS_READ_CSV_DEPRECATED_PARAMETERS:
     if pd_read_csv_kwargs[pd_read_csv_parameter] == getattr(CsvConfig()			,						lowerCAmelCase__    ):
       del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 2.0 new arguments
   if not (datasets.config.PANDAS_VERSION.major >= 2):
     for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_2_0_0_PARAMETERS:
       del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 1.3 new arguments
   if not (datasets.config.PANDAS_VERSION.major >= 1 and datasets.config.PANDAS_VERSION.minor >= 3):
     for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_1_3_0_PARAMETERS:
       del pd_read_csv_kwargs[pd_read_csv_parameter]

   return pd_read_csv_kwargs






class 						__magic_name__    (       datasets.ArrowBasedBuilder    ):
 UpperCAmelCase							    =						CsvConfig


 def _UpperCamelCase	(						self		: Dict    )    ->      Tuple:
   return datasets.DatasetInfo(features=self.config.features    )


 def _UpperCamelCase	(						self		: Optional[int]			,						lowerCAmelCase__		: Tuple    )    ->      List[Any]:
   if not self.config.data_files:
     raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}"    )
   UpperCAmelCase					      =  dl_manager.download_and_extract(self.config.data_files    )
   if isinstance(lowerCAmelCase__			,						(str, list, tuple)    ):
     UpperCAmelCase					      =  data_files
     if isinstance(lowerCAmelCase__			,						lowerCAmelCase__    ):
       UpperCAmelCase					      =  [files]
     UpperCAmelCase					      =  [dl_manager.iter_files(lowerCAmelCase__    ) for file in files]
     return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,						gen_kwargs={"files": files}    )]
   UpperCAmelCase					      =  []
   for split_name, files in data_files.items():
     if isinstance(lowerCAmelCase__			,						lowerCAmelCase__    ):
       UpperCAmelCase					      =  [files]
     UpperCAmelCase					      =  [dl_manager.iter_files(lowerCAmelCase__    ) for file in files]
     splits.append(datasets.SplitGenerator(name=lowerCAmelCase__			,						gen_kwargs={"files": files}    )    )
   return splits


 def _UpperCamelCase	(						self		: Tuple			,						lowerCAmelCase__		: pa.Table    )    ->      pa.Table:
   if self.config.features is not None:
     UpperCAmelCase					      =  self.config.features.arrow_schema
     if all(not require_storage_cast(lowerCAmelCase__    ) for feature in self.config.features.values()    ):
       # cheaper cast
       UpperCAmelCase					      =  pa.Table.from_arrays([pa_table[field.name] for field in schema]			,						schema=lowerCAmelCase__    )
     else:
       # more expensive cast; allows str <-> int/float or str to Audio for example
       UpperCAmelCase					      =  table_cast(lowerCAmelCase__			,						lowerCAmelCase__    )
   return pa_table


 def _UpperCamelCase	(						self		: Union[str, Any]			,						lowerCAmelCase__		: Union[str, Any]    )    ->      Optional[Any]:
   UpperCAmelCase					      =  self.config.features.arrow_schema if self.config.features else None
   # dtype allows reading an int column as str
   UpperCAmelCase					      =  (
       {
           name: dtype.to_pandas_dtype() if not require_storage_cast(lowerCAmelCase__    ) else object
           for name, dtype, feature in zip(schema.names			,						schema.types			,						self.config.features.values()    )
       }
       if schema is not None
       else None
   )
   for file_idx, file in enumerate(itertools.chain.from_iterable(lowerCAmelCase__    )    ):
     UpperCAmelCase					      =  pd.read_csv(lowerCAmelCase__			,						iterator=lowerCAmelCase__			,						dtype=lowerCAmelCase__			,						**self.config.pd_read_csv_kwargs    )
     try:
       for batch_idx, df in enumerate(lowerCAmelCase__    ):
         UpperCAmelCase					      =  pa.Table.from_pandas(lowerCAmelCase__    )
         # Uncomment for debugging (will print the Arrow table size and elements)
         # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
         # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
         yield (file_idx, batch_idx), self._cast_table(lowerCAmelCase__    )
     except ValueError as e:
       logger.error(f"Failed to read file '{file}' with error {type(lowerCAmelCase__    )}: {e}"    )
       raise






import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
lowerCAmelCase__       = "src/diffusers"

# Matches is_xxx_available()
lowerCAmelCase__       = re.compile(r"is\_([a-z_]*)_available\(\)")
# Matches from xxx import bla
lowerCAmelCase__       = re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")


lowerCAmelCase__       = "\n{0} = None\n"

lowerCAmelCase__       = "\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n"


lowerCAmelCase__       = "\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"
def      _lowerCAmelCase(	__A			):
  UpperCAmelCase					      =  _re_backend.findall(__A			)
  if len(__A			) == 0:
    return None

  return "_and_".join(__A			)
def      _lowerCAmelCase(	):
  with open(os.path.join(__A   ,       "__init__.py"			)   ,       "r"   ,       encoding="utf-8"   ,       newline="\n"			) as f:
    UpperCAmelCase					      =  f.readlines()

  # Get to the point we do the actual imports for type checking
  UpperCAmelCase					      =  0
  UpperCAmelCase					      =  {}
  # Go through the end of the file
  while line_index < len(__A			):
    # If the line contains is_backend_available, we grab all objects associated with the `else` block
    UpperCAmelCase					      =  find_backend(lines[line_index]			)
    if backend is not None:
      while not lines[line_index].startswith("else:"			):
        line_index += 1
      line_index += 1
      UpperCAmelCase					      =  []
      # Until we unindent, add backend objects to the list
      while line_index < len(__A			) and len(lines[line_index]			) > 1:
        UpperCAmelCase					      =  lines[line_index]
        UpperCAmelCase					      =  _re_single_line_import.search(__A			)
        if single_line_import_search is not None:
          objects.extend(single_line_import_search.groups()[0].split(", "			)			)
        elif line.startswith(" " * 8			):
          objects.append(line[8:-2]			)
        line_index += 1

      if len(__A			) > 0:
        UpperCAmelCase					      =  objects
    else:
      line_index += 1

  return backend_specific_objects
def      _lowerCAmelCase(	__A   ,       __A			):
  if name.isupper():
    return DUMMY_CONSTANT.format(__A			)
  elif name.islower():
    return DUMMY_FUNCTION.format(__A   ,       __A			)
  else:
    return DUMMY_CLASS.format(__A   ,       __A			)
def      _lowerCAmelCase(	__A=None			):
  if backend_specific_objects is None:
    UpperCAmelCase					      =  read_init()
  # For special correspondence backend to module name as used in the function requires_modulename
  UpperCAmelCase					      =  {}

  for backend, objects in backend_specific_objects.items():
    UpperCAmelCase					      =  "[" + ", ".join(F"\"{b}\"" for b in backend.split("_and_"			)			) + "]"
    UpperCAmelCase					      =  "# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
    dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
    dummy_file += "\n".join([create_dummy_object(__A   ,       __A			) for o in objects]			)
    UpperCAmelCase					      =  dummy_file

  return dummy_files
def      _lowerCAmelCase(	__A=False			):
  UpperCAmelCase					      =  create_dummy_files()
  # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
  UpperCAmelCase					      =  {"torch": "pt"}

  # Locate actual dummy modules and read their content.
  UpperCAmelCase					      =  os.path.join(__A   ,       "utils"			)
  UpperCAmelCase					      =  {
      backend: os.path.join(__A   ,       F"dummy_{short_names.get(__A   ,       __A			)}_objects.py"			)
      for backend in dummy_files.keys()
  }

  UpperCAmelCase					      =  {}
  for backend, file_path in dummy_file_paths.items():
    if os.path.isfile(__A			):
      with open(__A   ,       "r"   ,       encoding="utf-8"   ,       newline="\n"			) as f:
        UpperCAmelCase					      =  f.read()
    else:
      UpperCAmelCase					      =  ""

  for backend in dummy_files.keys():
    if dummy_files[backend] != actual_dummies[backend]:
      if overwrite:
        print(
            F"Updating diffusers.utils.dummy_{short_names.get(__A   ,       __A			)}_objects.py as the main "
            "__init__ has new objects."			)
        with open(dummy_file_paths[backend]   ,       "w"   ,       encoding="utf-8"   ,       newline="\n"			) as f:
          f.write(dummy_files[backend]			)
      else:
        raise ValueError(
            "The main __init__ has objects that are not present in "
            F"diffusers.utils.dummy_{short_names.get(__A   ,       __A			)}_objects.py. Run `make fix-copies` "
            "to fix this."			)


if __name__ == "__main__":
      lowerCAmelCase__       = argparse.ArgumentParser()
      parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
      lowerCAmelCase__       = parser.parse_args()

      check_dummies(args.fix_and_overwrite)



