


import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen
from ..table import array_cast
from ..utils.file_utils import is_local_path
from ..utils.py_utils import first_non_null_value, no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
    import PIL.Image

    from .features import FeatureType


A      :    Optional[List[str]]		=					None
A      :    str		=					"<" if sys.byteorder == "little" else ">"
# Origin: https://github.com/python-pillow/Pillow/blob/698951e19e19972aeed56df686868f1329981c12/src/PIL/Image.py#L3126 minus "|i1" which values are not preserved correctly when saving and loading an image
A      :    str		=					[
    np.dtype("|b1"),
    np.dtype("|u1"),
    np.dtype("<u2"),
    np.dtype(">u2"),
    np.dtype("<i2"),
    np.dtype(">i2"),
    np.dtype("<u4"),
    np.dtype(">u4"),
    np.dtype("<i4"),
    np.dtype(">i4"),
    np.dtype("<f4"),
    np.dtype(">f4"),
    np.dtype("<f8"),
    np.dtype(">f8"),
]







@dataclass
class 			_lowercase :


       """simple docstring"""




       A__											=			True
       A__											=			None
       # Automatically constructed
       A__											=			"PIL.Image.Image"
       A__											=			pa.struct({"bytes": pa.binary(), "path": pa.string()})
       A__											=			field(default="Image"							,  init=lowercase__							,  repr=lowercase__)





       def __call__(   self							:			Any       ):


             '''simple docstring'''



             return self.pa_type





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]       ):


             '''simple docstring'''



             if config.PIL_AVAILABLE:
                   import PIL.Image
             else:
                   raise ImportError("To support encoding images, please install 'Pillow'."       )

             if isinstance(__lowerCamelCase					,      __lowerCamelCase       ):
                   lowerCamelCase__		:				str    =  np.array(__lowerCamelCase       )

             if isinstance(__lowerCamelCase					,      __lowerCamelCase       ):
                   return {"path": value, "bytes": None}
             elif isinstance(__lowerCamelCase					,      __lowerCamelCase       ):
                   return {"path": None, "bytes": value}
             elif isinstance(__lowerCamelCase					,      np.ndarray       ):
                   # convert the image array to PNG/TIFF bytes
                   return encode_np_array(__lowerCamelCase       )
             elif isinstance(__lowerCamelCase					,      PIL.Image.Image       ):
                   # convert the PIL image to bytes (default format is PNG/TIFF)
                   return encode_pil_image(__lowerCamelCase       )
             elif value.get("path"       ) is not None and os.path.isfile(value["path"]       ):
                   # we set "bytes": None to not duplicate the data if they're already available locally
                   return {"bytes": None, "path": value.get("path"       )}
             elif value.get("bytes"       ) is not None or value.get("path"       ) is not None:
                   # store the image bytes, and path is used to infer the image format using the file extension
                   return {"bytes": value.get("bytes"       ), "path": value.get("path"       )}
             else:
                   raise ValueError(
                       f"An image sample should have one of 'path' or 'bytes' but they are missing or None in {value}."       )





       def 						lowerCAmelCase     (   self							:			Any					,      __lowerCamelCase							:			dict					,      __lowerCamelCase							:			List[Any]=None       ):


             '''simple docstring'''



             if not self.decode:
                   raise RuntimeError("Decoding is disabled for this feature. Please use Image(decode=True) instead."       )

             if config.PIL_AVAILABLE:
                   import PIL.Image
             else:
                   raise ImportError("To support decoding images, please install 'Pillow'."       )

             if token_per_repo_id is None:
                   lowerCamelCase__		:				Union[str, Any]    =  {}

             lowerCamelCase__    ,   lowerCamelCase__		:				Optional[int]    =  value["path"], value["bytes"]
             if bytes_ is None:
                   if path is None:
                         raise ValueError(f"An image should have one of 'path' or 'bytes' but both are None in {value}."       )
                   else:
                         if is_local_path(__lowerCamelCase       ):
                               lowerCamelCase__		:				Union[str, Any]    =  PIL.Image.open(__lowerCamelCase       )
                         else:
                               lowerCamelCase__		:				Tuple    =  path.split("::"       )[-1]
                               try:
                                     lowerCamelCase__		:				str    =  string_to_dict(__lowerCamelCase					,      config.HUB_DATASETS_URL       )["repo_id"]
                                     lowerCamelCase__		:				Any    =  token_per_repo_id.get(__lowerCamelCase       )
                               except ValueError:
                                     lowerCamelCase__		:				int    =  None
                               with xopen(__lowerCamelCase					,      "rb"					,      use_auth_token=__lowerCamelCase       ) as f:
                                     lowerCamelCase__		:				List[str]    =  BytesIO(f.read()       )
                               lowerCamelCase__		:				Optional[int]    =  PIL.Image.open(bytes_       )
             else:
                   lowerCamelCase__		:				Dict    =  PIL.Image.open(BytesIO(bytes_       )       )
             image.load()  # to avoid "Too many open files" errors
             return image





       def 						lowerCAmelCase     (   self							:			Dict       ):


             '''simple docstring'''



             from .features import Value

             return (
                 self
                 if self.decode
                 else {
                     "bytes": Value("binary"       ),
                     "path": Value("string"       ),
                 }
             )





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			Union[pa.StringArray, pa.StructArray, pa.ListArray]       ):


             '''simple docstring'''



             if pa.types.is_string(storage.type       ):
                   lowerCamelCase__		:				Dict    =  pa.array([None] * len(__lowerCamelCase       )					,      type=pa.binary()       )
                   lowerCamelCase__		:				List[str]    =  pa.StructArray.from_arrays([bytes_array, storage]					,      ["bytes", "path"]					,      mask=storage.is_null()       )
             elif pa.types.is_binary(storage.type       ):
                   lowerCamelCase__		:				List[Any]    =  pa.array([None] * len(__lowerCamelCase       )					,      type=pa.string()       )
                   lowerCamelCase__		:				Any    =  pa.StructArray.from_arrays([storage, path_array]					,      ["bytes", "path"]					,      mask=storage.is_null()       )
             elif pa.types.is_struct(storage.type       ):
                   if storage.type.get_field_index("bytes"       ) >= 0:
                         lowerCamelCase__		:				Dict    =  storage.field("bytes"       )
                   else:
                         lowerCamelCase__		:				Optional[int]    =  pa.array([None] * len(__lowerCamelCase       )					,      type=pa.binary()       )
                   if storage.type.get_field_index("path"       ) >= 0:
                         lowerCamelCase__		:				Dict    =  storage.field("path"       )
                   else:
                         lowerCamelCase__		:				Dict    =  pa.array([None] * len(__lowerCamelCase       )					,      type=pa.string()       )
                   lowerCamelCase__		:				int    =  pa.StructArray.from_arrays([bytes_array, path_array]					,      ["bytes", "path"]					,      mask=storage.is_null()       )
             elif pa.types.is_list(storage.type       ):
                   lowerCamelCase__		:				Union[str, Any]    =  pa.array(
                       [encode_np_array(np.array(__lowerCamelCase       )       )["bytes"] if arr is not None else None for arr in storage.to_pylist()]					,      type=pa.binary()					,      )
                   lowerCamelCase__		:				Dict    =  pa.array([None] * len(__lowerCamelCase       )					,      type=pa.string()       )
                   lowerCamelCase__		:				Dict    =  pa.StructArray.from_arrays(
                       [bytes_array, path_array]					,      ["bytes", "path"]					,      mask=bytes_array.is_null()       )
             return array_cast(__lowerCamelCase					,      self.pa_type       )





       def 						lowerCAmelCase     (   self							:			int					,      __lowerCamelCase							:			pa.StructArray       ):


             '''simple docstring'''



             @no_op_if_value_is_null
             def path_to_bytes(__lowerCamelCase							:			Union[str, Any]       ):
                   with xopen(__lowerCamelCase					,      "rb"       ) as f:
                         lowerCamelCase__		:				str    =  f.read()
                   return bytes_

             lowerCamelCase__		:				List[Any]    =  pa.array(
                 [
                     (path_to_bytes(x["path"]       ) if x["bytes"] is None else x["bytes"]) if x is not None else None
                     for x in storage.to_pylist()
                 ]					,      type=pa.binary()					,      )
             lowerCamelCase__		:				Optional[int]    =  pa.array(
                 [os.path.basename(__lowerCamelCase       ) if path is not None else None for path in storage.field("path"       ).to_pylist()]					,      type=pa.string()					,      )
             lowerCamelCase__		:				Tuple    =  pa.StructArray.from_arrays([bytes_array, path_array]					,      ["bytes", "path"]					,      mask=bytes_array.is_null()       )
             return array_cast(__lowerCamelCase					,      self.pa_type       )



def       lowercase_		(		):

      """simple docstring"""




      if config.PIL_AVAILABLE:
            import PIL.Image
      else:
            raise ImportError("To support encoding images, please install 'Pillow'."						)

      global _IMAGE_COMPRESSION_FORMATS
      if _IMAGE_COMPRESSION_FORMATS is None:
            PIL.Image.init()
            lowerCamelCase__		:				List[str]    =  list(set(PIL.Image.OPEN.keys()						) & set(PIL.Image.SAVE.keys()						)						)
      return _IMAGE_COMPRESSION_FORMATS

def       lowercase_		(		_A			:    "PIL.Image.Image"						):

      """simple docstring"""




      lowerCamelCase__		:				Optional[Any]    =  BytesIO()
      if image.format in list_image_compression_formats():
            lowerCamelCase__		:				int    =  image.format
      else:
            lowerCamelCase__		:				int    =  "PNG" if image.mode in ["1", "L", "LA", "RGB", "RGBA"] else "TIFF"
      image.save(_A    ,					format=_A						)
      return buffer.getvalue()

def       lowercase_		(		_A			:    "PIL.Image.Image"						):

      """simple docstring"""




      if hasattr(_A    ,					"filename"						) and image.filename != "":
            return {"path": image.filename, "bytes": None}
      else:
            return {"path": None, "bytes": image_to_bytes(_A						)}

def       lowercase_		(		_A			:    np.ndarray						):

      """simple docstring"""




      if config.PIL_AVAILABLE:
            import PIL.Image
      else:
            raise ImportError("To support encoding images, please install 'Pillow'."						)

      lowerCamelCase__		:				int    =  array.dtype
      lowerCamelCase__		:				List[str]    =  dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER
      lowerCamelCase__		:				List[str]    =  dtype.kind
      lowerCamelCase__		:				Optional[Any]    =  dtype.itemsize

      lowerCamelCase__		:				Dict    =  None

      # Multi-channel array case (only np.dtype("|u1") is allowed)
      if array.shape[2:]:
            lowerCamelCase__		:				List[Any]    =  np.dtype("|u1"						)
            if dtype_kind not in ["u", "i"]:
                  raise TypeError(
                      F"Unsupported array dtype {dtype} for image encoding. Only {dest_dtype} is supported for multi-channel arrays."						)
            if dtype is not dest_dtype:
                  warnings.warn(F"Downcasting array dtype {dtype} to {dest_dtype} to be compatible with 'Pillow'"						)
    # Exact match
      elif dtype in _VALID_IMAGE_ARRAY_DTPYES:
            lowerCamelCase__		:				Any    =  dtype
      else:  # Downcast the type within the kind (np.can_cast(from_type, to_type, casting="same_kind") doesn't behave as expected, so do it manually)
            while dtype_itemsize >= 1:
                  lowerCamelCase__		:				Optional[Any]    =  dtype_byteorder + dtype_kind + str(_A						)
                  lowerCamelCase__		:				int    =  np.dtype(_A						)
                  if dest_dtype in _VALID_IMAGE_ARRAY_DTPYES:
                        warnings.warn(F"Downcasting array dtype {dtype} to {dest_dtype} to be compatible with 'Pillow'"						)
                        break
                  else:
                        dtype_itemsize //= 2

      if dest_dtype is None:
            raise TypeError(
                F"Cannot convert dtype {dtype} to a valid image dtype. Valid image dtypes: {_VALID_IMAGE_ARRAY_DTPYES}"						)
      lowerCamelCase__		:				List[Any]    =  PIL.Image.fromarray(array.astype(_A						)						)
      return {"path": None, "bytes": image_to_bytes(_A						)}


def       lowercase_		(		_A			:    Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]]						):

      """simple docstring"""




      if config.PIL_AVAILABLE:
            import PIL.Image
      else:
            raise ImportError("To support encoding images, please install 'Pillow'."						)

      if objs:
            lowerCamelCase__    ,   lowerCamelCase__		:				int    =  first_non_null_value(_A						)
            if isinstance(_A    ,					_A						):
                  return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs]
            if isinstance(_A    ,					np.ndarray						):
                  lowerCamelCase__		:				Optional[Any]    =  no_op_if_value_is_null(_A						)
                  return [obj_to_image_dict_func(_A						) for obj in objs]
            elif isinstance(_A    ,					PIL.Image.Image						):
                  lowerCamelCase__		:				int    =  no_op_if_value_is_null(_A						)
                  return [obj_to_image_dict_func(_A						) for obj in objs]
            else:
                  return objs
      else:
            return objs






from collections import defaultdict
from pathlib import Path

import pandas as pd
from rouge_cli import calculate_rouge_path

from utils import calculate_rouge


A      :    Optional[int]		=					[
    "Prosecutor: \"No videos were used in the crash investigation\" German papers say they saw a cell phone video of the"
    " final seconds on board Flight 9525. The Germanwings co-pilot says he had a \"previous episode of severe"
    " depression\" German airline confirms it knew of Andreas Lubitz's depression years before he took control.",
    "The Palestinian Authority officially becomes the 123rd member of the International Criminal Court. The formal"
    " accession was marked with a ceremony at The Hague, in the Netherlands. The Palestinians signed the ICC's"
    " founding Rome Statute in January. Israel and the United States opposed the Palestinians' efforts to join the"
    " body.",
    "Amnesty International releases its annual report on the death penalty. The report catalogs the use of"
    " state-sanctioned killing as a punitive measure across the globe. At least 607 people were executed around the"
    " world in 2014, compared to 778 in 2013. The U.S. remains one of the worst offenders for imposing capital"
    " punishment.",
]

A      :    List[Any]		=					[
    "Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports ."
    " Journalists at Bild and Paris Match are \"very confident\" the video clip is real, an editor says . Andreas Lubitz"
    " had informed his Lufthansa training school of an episode of severe depression, airline says .",
    "Membership gives the ICC jurisdiction over alleged crimes committed in Palestinian territories since last June ."
    " Israel and the United States opposed the move, which could open the door to war crimes investigations against"
    " Israelis .",
    "Amnesty's annual death penalty report catalogs encouraging signs, but setbacks in numbers of those sentenced to"
    " death . Organization claims that governments around the world are using the threat of terrorism to advance"
    " executions . The number of executions worldwide has gone down by almost 22% compared with 2013, but death"
    " sentences up by 28% .",
]

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Dict    =  calculate_rouge(_A    ,					_A    ,					bootstrap_aggregation=_A    ,					rouge_keys=["rouge2", "rougeL"]						)
      assert isinstance(_A    ,					_A						)
      lowerCamelCase__		:				List[Any]    =  calculate_rouge(_A    ,					_A    ,					bootstrap_aggregation=_A    ,					rouge_keys=["rouge2"]						)
      assert (
          pd.DataFrame(no_aggregation["rouge2"]						).fmeasure.mean()
          == pd.DataFrame(no_aggregation_just_ra["rouge2"]						).fmeasure.mean()
      )

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Any    =  "rougeLsum"
      lowerCamelCase__		:				List[str]    =  calculate_rouge(_A    ,					_A    ,					newline_sep=_A    ,					rouge_keys=[k]						)[k]
      lowerCamelCase__		:				str    =  calculate_rouge(_A    ,					_A    ,					newline_sep=_A    ,					rouge_keys=[k]						)[k]
      assert score > score_no_sep

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				int    =  ["rouge1", "rouge2", "rougeL"]
      lowerCamelCase__		:				Union[str, Any]    =  calculate_rouge(_A    ,					_A    ,					newline_sep=_A    ,					rouge_keys=_A						)
      lowerCamelCase__		:				Any    =  calculate_rouge(_A    ,					_A    ,					newline_sep=_A    ,					rouge_keys=_A						)
      assert score_sep == score_no_sep

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Optional[Any]    =  [
          "Her older sister, Margot Frank, died in 1945, a month earlier than previously thought.",
          "Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports .",
      ]
      lowerCamelCase__		:				Tuple    =  [
          "Margot Frank, died in 1945, a month earlier than previously thought.",
          "Prosecutor: \"No videos were used in the crash investigation\" German papers say they saw a cell phone video of"
          " the final seconds on board Flight 9525.",
      ]
      assert calculate_rouge(_A    ,					_A    ,					newline_sep=_A						) == calculate_rouge(_A    ,					_A    ,					newline_sep=_A						)

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				List[str]    =  [
          "\" \"a person who has such a video needs to immediately give it to the investigators,\" prosecutor says .<n> \"it is a very disturbing scene,\" editor-in-chief of bild online tells \"erin burnett: outfront\" "
      ]
      lowerCamelCase__		:				str    =  [
          " Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports . Journalists at Bild and Paris Match are \"very confident\" the video clip is real, an editor says . Andreas Lubitz had informed his Lufthansa training school of an episode of severe depression, airline says ."
      ]

      lowerCamelCase__		:				Union[str, Any]    =  calculate_rouge(_A    ,					_A    ,					rouge_keys=["rougeLsum"]    ,					newline_sep=_A						)["rougeLsum"]
      lowerCamelCase__		:				List[str]    =  calculate_rouge(_A    ,					_A    ,					rouge_keys=["rougeLsum"]						)["rougeLsum"]
      assert new_score > prev_score


def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Tuple    =  Path("examples/seq2seq/test_data/wmt_en_ro"						)
      lowerCamelCase__		:				Any    =  calculate_rouge_path(data_dir.joinpath("test.source"						)    ,					data_dir.joinpath("test.target"						)						)
      assert isinstance(_A    ,					_A						)
      lowerCamelCase__		:				str    =  calculate_rouge_path(
          data_dir.joinpath("test.source"						)    ,					data_dir.joinpath("test.target"						)    ,					bootstrap_aggregation=_A						)
      assert isinstance(_A    ,					_A						)


