


"""simple docstring"""



import os

import jsonlines
import numpy as np
from tqdm import tqdm


__snake_case         =					2048
__snake_case         =					4096
__snake_case         =					42
__snake_case         =					os.environ.pop("""PROCESS_TRAIN""", """false""")
__snake_case         =					{'null': 0, 'short': 1, 'long': 2, 'yes': 3, 'no': 4}







def 						__lowerCAmelCase		(		lowercase						:						Optional[Any]				)			->		Optional[Any]:


    """simple docstring"""





    def choose_first(lowercase						:						Optional[int]		,							lowercase						:						Tuple=False				):
        assert isinstance(_A		,							_A				)
        if len(_A				) == 1:
            snake_case					:   Tuple         =					answer[0]
            return {k: [answer[k]] for k in answer} if is_long_answer else answer
        for a in answer:
            if is_long_answer:
                snake_case					:   Dict         =					{k: [a[k]] for k in a}
            if len(a["start_token"]				) > 0:
                break
        return a

    snake_case					:   List[Any]         =					{"id": example["id"]}
    snake_case					:   str         =					example["annotations"]
    snake_case					:   Any         =					annotation["yes_no_answer"]
    if 0 in yes_no_answer or 1 in yes_no_answer:
        snake_case					:   List[Any]         =					["yes"] if 1 in yes_no_answer else ["no"]
        snake_case					:   List[Any]         =					[]
        snake_case					:   Optional[int]         =					[]
        snake_case					:   str         =					["<cls>"]
    else:
        snake_case					:   Optional[int]         =					["short"]
        snake_case					:   Any         =					choose_first(annotation["short_answers"]				)
        if len(out["start_token"]				) == 0:
            # answer will be long if short is not available
            snake_case					:   int         =					["long"]
            snake_case					:   Any         =					choose_first(annotation["long_answer"]		,							is_long_answer=_A				)
            snake_case					:   Union[str, Any]         =					[]
        answer.update(_A				)

    # disregard some samples
    if len(answer["start_token"]				) > 1 or answer["start_token"] == answer["end_token"]:
        snake_case					:   Tuple         =					True
    else:
        snake_case					:   int         =					False

    snake_case					:   Tuple         =					["start_token", "end_token", "start_byte", "end_byte", "text"]
    if not all(isinstance(answer[k]		,							_A				) for k in cols				):
        raise ValueError("Issue in ID"		,							example["id"]				)

    return answer







def 						__lowerCAmelCase		(		lowercase						:						Union[str, Any]		,							lowercase						:						int=False				)			->		Dict:


    """simple docstring"""





    snake_case					:   Any         =					_get_single_answer(_A				)
    # bytes are of no use
    del answer["start_byte"]
    del answer["end_byte"]

    # handle yes_no answers explicitly
    if answer["category"][0] in ["yes", "no"]:  # category is list with one element
        snake_case					:   Dict         =					example["document"]["tokens"]
        snake_case					:   Optional[Any]         =					[]
        for i in range(len(doc["token"]				)				):
            if not doc["is_html"][i]:
                context.append(doc["token"][i]				)
        return {
            "context": " ".join(_A				),
            "answer": {
                "start_token": -100,  # ignore index in cross-entropy
                "end_token": -100,  # ignore index in cross-entropy
                "category": answer["category"],
                "span": answer["category"],  # extra
            },
        }

    # later, help in removing all no answers
    if answer["start_token"] == [-1]:
        return {
            "context": "None",
            "answer": {
                "start_token": -1,
                "end_token": -1,
                "category": "null",
                "span": "None",  # extra
            },
        }

    # handling normal samples

    snake_case					:   Union[str, Any]         =					["start_token", "end_token"]
    answer.update({k: answer[k][0] if len(answer[k]				) > 0 else answer[k] for k in cols}				)  # e.g. [10] == 10

    snake_case					:   List[str]         =					example["document"]["tokens"]
    snake_case					:   Optional[int]         =					answer["start_token"]
    snake_case					:   int         =					answer["end_token"]

    snake_case					:   Tuple         =					[]
    for i in range(len(doc["token"]				)				):
        if not doc["is_html"][i]:
            context.append(doc["token"][i]				)
        else:
            if answer["start_token"] > i:
                start_token -= 1
            if answer["end_token"] > i:
                end_token -= 1
    snake_case					:   Union[str, Any]         =					" ".join(context[start_token:end_token]				)

    # checking above code
    if assertion:
        snake_case					:   List[str]         =					doc["is_html"][answer["start_token"] : answer["end_token"]]
        snake_case					:   Union[str, Any]         =					doc["token"][answer["start_token"] : answer["end_token"]]
        snake_case					:   Dict         =					" ".join([old[i] for i in range(len(_A				)				) if not is_html[i]]				)
        if new != old:
            print("ID:"		,							example["id"]				)
            print("New:"		,							_A		,							end="\n"				)
            print("Old:"		,							_A		,							end="\n\n"				)

    return {
        "context": " ".join(_A				),
        "answer": {
            "start_token": start_token,
            "end_token": end_token - 1,  # this makes it inclusive
            "category": answer["category"],  # either long or short
            "span": new,  # extra
        },
    }







def 						__lowerCAmelCase		(		lowercase						:						Tuple		,							lowercase						:						Any		,							lowercase						:						List[Any]=2048		,							lowercase						:						int=4096		,							lowercase						:						List[str]=True				)			->		List[Any]:


    """simple docstring"""





    snake_case					:   Optional[Any]         =					get_context_and_ans(_A		,							assertion=_A				)
    snake_case					:   List[str]         =					out["answer"]

    # later, removing these samples
    if answer["start_token"] == -1:
        return {
            "example_id": example["id"],
            "input_ids": [[-1]],
            "labels": {
                "start_token": [-1],
                "end_token": [-1],
                "category": ["null"],
            },
        }

    snake_case					:   Union[str, Any]         =					tokenizer(example["question"]["text"]		,							out["context"]				).input_ids
    snake_case					:   Optional[Any]         =					input_ids.index(tokenizer.sep_token_id				) + 1

    # return yes/no
    if answer["category"][0] in ["yes", "no"]:  # category is list with one element
        snake_case					:   str         =					[]
        snake_case					:   int         =					[]
        snake_case					:   List[str]         =					input_ids[:q_len]
        snake_case					:   Optional[Any]         =					range(_A		,							len(_A				)		,							max_length - doc_stride				)
        for i in doc_start_indices:
            snake_case					:   Union[str, Any]         =					i + max_length - q_len
            snake_case					:   Union[str, Any]         =					input_ids[i:end_index]
            inputs.append(q_indices + slice				)
            category.append(answer["category"][0]				)
            if slice[-1] == tokenizer.sep_token_id:
                break

        return {
            "example_id": example["id"],
            "input_ids": inputs,
            "labels": {
                "start_token": [-100] * len(_A				),
                "end_token": [-100] * len(_A				),
                "category": category,
            },
        }

    snake_case					:   str         =					out["context"].split()
    snake_case					:   Any         =					splitted_context[answer["end_token"]]
    snake_case					:   Any         =					len(
        tokenizer(
            " ".join(splitted_context[: answer["start_token"]]				)		,							add_special_tokens=_A		,							).input_ids				)
    snake_case					:   Optional[Any]         =					len(
        tokenizer(" ".join(splitted_context[: answer["end_token"]]				)		,							add_special_tokens=_A				).input_ids				)

    answer["start_token"] += q_len
    answer["end_token"] += q_len

    # fixing end token
    snake_case					:   Union[str, Any]         =					len(tokenizer(_A		,							add_special_tokens=_A				).input_ids				)
    if num_sub_tokens > 1:
        answer["end_token"] += num_sub_tokens - 1

    snake_case					:   List[str]         =					input_ids[answer["start_token"] : answer["end_token"] + 1]  # right & left are inclusive
    snake_case					:   str         =					answer["start_token"]
    snake_case					:   List[str]         =					answer["end_token"]

    if assertion:
        snake_case					:   Dict         =					tokenizer.decode(_A				)
        if answer["span"] != new:
            print("ISSUE IN TOKENIZATION"				)
            print("OLD:"		,							answer["span"]				)
            print("NEW:"		,							_A		,							end="\n\n"				)

    if len(_A				) <= max_length:
        return {
            "example_id": example["id"],
            "input_ids": [input_ids],
            "labels": {
                "start_token": [answer["start_token"]],
                "end_token": [answer["end_token"]],
                "category": answer["category"],
            },
        }

    snake_case					:   Tuple         =					input_ids[:q_len]
    snake_case					:   Union[str, Any]         =					range(_A		,							len(_A				)		,							max_length - doc_stride				)

    snake_case					:   Dict         =					[]
    snake_case					:   Dict         =					[]
    snake_case					:   Dict         =					[]
    snake_case					:   str         =					[]  # null, yes, no, long, short
    for i in doc_start_indices:
        snake_case					:   Optional[int]         =					i + max_length - q_len
        snake_case					:   List[str]         =					input_ids[i:end_index]
        inputs.append(q_indices + slice				)
        assert len(inputs[-1]				) <= max_length, "Issue in truncating length"

        if start_token >= i and end_token <= end_index - 1:
            snake_case					:   Any         =					start_token - i + q_len
            snake_case					:   List[Any]         =					end_token - i + q_len
            answers_category.append(answer["category"][0]				)  # ["short"] -> "short"
        else:
            snake_case					:   int         =					-100
            snake_case					:   int         =					-100
            answers_category.append("null"				)
        snake_case					:   List[Any]         =					inputs[-1][start_token : end_token + 1]

        answers_start_token.append(_A				)
        answers_end_token.append(_A				)
        if assertion:
            if new != old and new != [tokenizer.cls_token_id]:
                print("ISSUE in strided for ID:"		,							example["id"]				)
                print("New:"		,							tokenizer.decode(_A				)				)
                print("Old:"		,							tokenizer.decode(_A				)		,							end="\n\n"				)
        if slice[-1] == tokenizer.sep_token_id:
            break

    return {
        "example_id": example["id"],
        "input_ids": inputs,
        "labels": {
            "start_token": answers_start_token,
            "end_token": answers_end_token,
            "category": answers_category,
        },
    }







def 						__lowerCAmelCase		(		lowercase						:						Optional[int]		,							lowercase						:						Tuple		,							lowercase						:						Tuple=2048		,							lowercase						:						Optional[Any]=4096		,							lowercase						:						Tuple=False				)			->		Union[str, Any]:


    """simple docstring"""





    snake_case					:   Any         =					get_strided_contexts_and_ans(
        _A		,							_A		,							doc_stride=_A		,							max_length=_A		,							assertion=_A		,							)

    return example







def 						__lowerCAmelCase		(		lowercase						:						List[str]		,							lowercase						:						Dict				)			->		Optional[int]:


    """simple docstring"""





    with jsonlines.open(_A		,							"a"				) as writer:
        for example in tqdm(_A		,							total=len(_A				)		,							desc="Saving samples ... "				):
            snake_case					:   Optional[Any]         =					example["labels"]
            for ids, start, end, cat in zip(
                example["input_ids"]		,							labels["start_token"]		,							labels["end_token"]		,							labels["category"]		,							):
                if start == -1 and end == -1:
                    continue  # leave waste samples with no answer
                if cat == "null" and np.random.rand() < 0.6:
                    continue  # removing 50 % samples
                writer.write(
                    {
                        "input_ids": ids,
                        "start_token": start,
                        "end_token": end,
                        "category": CATEGORY_MAPPING[cat],
                    }				)


if __name__ == "__main__":
  from datasets import load_dataset

  from transformers import BigBirdTokenizer

  __snake_case         =					load_dataset("""natural_questions""")
  __snake_case         =					BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base""")

  __snake_case         =					data['train' if PROCESS_TRAIN == 'true' else 'validation']

  __snake_case         =					{
      'tokenizer': tokenizer,
      'doc_stride': DOC_STRIDE,
      'max_length': MAX_LENGTH,
      'assertion': False,
  }
  __snake_case         =					data.map(prepare_inputs, fn_kwargs=fn_kwargs)
  __snake_case         =					data.remove_columns(["""annotations""", """document""", """id""", """question"""])
  print(data)

  np.random.seed(SEED)
  __snake_case         =					'nq-training.jsonl' if PROCESS_TRAIN == 'true' else 'nq-validation.jsonl'
  save_to_disk(data, file_name=cache_file_name)









"""simple docstring"""



import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


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


# This is to make sure the diffusers module imported is the one in the repo.
__snake_case         =					importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(DIFFUSERS_PATH, """__init__.py"""),
    submodule_search_locations=[DIFFUSERS_PATH],
)
__snake_case         =					spec.loader.load_module()







def 						__lowerCAmelCase		(		lowercase						:						List[str]		,							lowercase						:						Optional[int]				)			->		Union[str, Any]:


    """simple docstring"""





    return line.startswith(lowercase				) or len(lowercase				) <= 1 or re.search(R"^\s*\)(\s*->.*:|:)\s*$"		,							lowercase				) is not None







def 						__lowerCAmelCase		(		lowercase						:						List[Any]				)			->		Union[str, Any]:


    """simple docstring"""





    snake_case					:   Any         =					object_name.split("."				)
    snake_case					:   Dict         =					0

    # First let's find the module where our object lives.
    snake_case					:   Optional[Any]         =					parts[i]
    while i < len(lowercase				) and not os.path.isfile(os.path.join(lowercase		,							F'{module}.py'				)				):
        i += 1
        if i < len(lowercase				):
            snake_case					:   List[Any]         =					os.path.join(lowercase		,							parts[i]				)
    if i >= len(lowercase				):
        raise ValueError(F'`object_name` should begin with the name of a module of diffusers but got {object_name}.'				)

    with open(os.path.join(lowercase		,							F'{module}.py'				)		,							"r"		,							encoding="utf-8"		,							newline="\n"				) as f:
        snake_case					:   str         =					f.readlines()

    # Now let's find the class / func in the code!
    snake_case					:   List[str]         =					""
    snake_case					:   Optional[Any]         =					0
    for name in parts[i + 1 :]:
        while (
            line_index < len(lowercase				) and re.search(RF'^{indent}(class|def)\s+{name}(\(|\:)'		,							lines[line_index]				) is None
        ):
            line_index += 1
        indent += "    "
        line_index += 1

    if line_index >= len(lowercase				):
        raise ValueError(F' {object_name} does not match any function or class in {module}.'				)

    # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
    snake_case					:   Union[str, Any]         =					line_index
    while line_index < len(lowercase				) and _should_continue(lines[line_index]		,							lowercase				):
        line_index += 1
    # Clean up empty lines at the end (if any).
    while len(lines[line_index - 1]				) <= 1:
        line_index -= 1

    snake_case					:   Tuple         =					lines[start_index:line_index]
    return "".join(lowercase				)


__snake_case         =					re.compile(R"""^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)""")
__snake_case         =					re.compile(R"""^\s*(\S+)->(\S+)(\s+.*|$)""")
__snake_case         =					re.compile(R"""<FILL\s+[^>]*>""")







def 						__lowerCAmelCase		(		lowercase						:						Optional[int]				)			->		Dict:


    """simple docstring"""





    snake_case					:   List[str]         =					code.split("\n"				)
    snake_case					:   Tuple         =					0
    while idx < len(lowercase				) and len(lines[idx]				) == 0:
        idx += 1
    if idx < len(lowercase				):
        return re.search(R"^(\s*)\S"		,							lines[idx]				).groups()[0]
    return ""







def 						__lowerCAmelCase		(		lowercase						:						Any				)			->		Optional[int]:


    """simple docstring"""





    snake_case					:   Optional[int]         =					len(get_indent(lowercase				)				) > 0
    if has_indent:
        snake_case					:   List[Any]         =					F'class Bla:\n{code}'
    snake_case					:   List[Any]         =					black.Mode(target_versions={black.TargetVersion.PYaa}		,							line_length=119		,							preview=lowercase				)
    snake_case					:   str         =					black.format_str(lowercase		,							mode=lowercase				)
    snake_case      ,snake_case					:   int         =					style_docstrings_in_code(lowercase				)
    return result[len("class Bla:\n"				) :] if has_indent else result







def 						__lowerCAmelCase		(		lowercase						:						Dict		,							lowercase						:						List[Any]=False				)			->		Dict:


    """simple docstring"""





    with open(lowercase		,							"r"		,							encoding="utf-8"		,							newline="\n"				) as f:
        snake_case					:   str         =					f.readlines()
    snake_case					:   Optional[int]         =					[]
    snake_case					:   List[Any]         =					0
    # Not a for loop cause `lines` is going to change (if `overwrite=True`).
    while line_index < len(lowercase				):
        snake_case					:   List[Any]         =					_re_copy_warning.search(lines[line_index]				)
        if search is None:
            line_index += 1
            continue

        # There is some copied code here, let's retrieve the original.
        snake_case      ,snake_case      ,snake_case					:   List[str]         =					search.groups()
        snake_case					:   List[Any]         =					find_code_in_diffusers(lowercase				)
        snake_case					:   Dict         =					get_indent(lowercase				)

        snake_case					:   Union[str, Any]         =					line_index + 1 if indent == theoretical_indent else line_index + 2
        snake_case					:   Any         =					theoretical_indent
        snake_case					:   Optional[int]         =					start_index

        # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
        snake_case					:   Dict         =					True
        while line_index < len(lowercase				) and should_continue:
            line_index += 1
            if line_index >= len(lowercase				):
                break
            snake_case					:   int         =					lines[line_index]
            snake_case					:   Tuple         =					_should_continue(lowercase		,							lowercase				) and re.search(F'^{indent}# End copy'		,							lowercase				) is None
        # Clean up empty lines at the end (if any).
        while len(lines[line_index - 1]				) <= 1:
            line_index -= 1

        snake_case					:   Optional[int]         =					lines[start_index:line_index]
        snake_case					:   List[Any]         =					"".join(lowercase				)

        # Remove any nested `Copied from` comments to avoid circular copies
        snake_case					:   List[str]         =					[line for line in theoretical_code.split("\n"				) if _re_copy_warning.search(lowercase				) is None]
        snake_case					:   Optional[int]         =					"\n".join(lowercase				)

        # Before comparing, use the `replace_pattern` on the original code.
        if len(lowercase				) > 0:
            snake_case					:   List[str]         =					replace_pattern.replace("with"		,							""				).split(","				)
            snake_case					:   Union[str, Any]         =					[_re_replace_pattern.search(lowercase				) for p in patterns]
            for pattern in patterns:
                if pattern is None:
                    continue
                snake_case      ,snake_case      ,snake_case					:   str         =					pattern.groups()
                snake_case					:   Any         =					re.sub(lowercase		,							lowercase		,							lowercase				)
                if option.strip() == "all-casing":
                    snake_case					:   int         =					re.sub(obja.lower()		,							obja.lower()		,							lowercase				)
                    snake_case					:   Optional[int]         =					re.sub(obja.upper()		,							obja.upper()		,							lowercase				)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
            snake_case					:   Tuple         =					blackify(lines[start_index - 1] + theoretical_code				)
            snake_case					:   Any         =					theoretical_code[len(lines[start_index - 1]				) :]

        # Test for a diff and act accordingly.
        if observed_code != theoretical_code:
            diffs.append([object_name, start_index]				)
            if overwrite:
                snake_case					:   Any         =					lines[:start_index] + [theoretical_code] + lines[line_index:]
                snake_case					:   Tuple         =					start_index + 1

    if overwrite and len(lowercase				) > 0:
        # Warn the user a file has been modified.
        print(F'Detected changes, rewriting {filename}.'				)
        with open(lowercase		,							"w"		,							encoding="utf-8"		,							newline="\n"				) as f:
            f.writelines(lowercase				)
    return diffs







def 						__lowerCAmelCase		(		lowercase						:						bool = False				)			->		Optional[Any]:


    """simple docstring"""





    snake_case					:   str         =					glob.glob(os.path.join(lowercase		,							"**/*.py"				)		,							recursive=lowercase				)
    snake_case					:   List[str]         =					[]
    for filename in all_files:
        snake_case					:   List[str]         =					is_copy_consistent(lowercase		,							lowercase				)
        diffs += [F'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
    if not overwrite and len(lowercase				) > 0:
        snake_case					:   List[str]         =					"\n".join(lowercase				)
        raise Exception(
            "Found the following copy inconsistencies:\n"
            + diff
            + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them."				)


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

  check_copies(args.fix_and_overwrite)





