

# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import ast
import difflib
from collections.abc import Mapping
from typing import Any, Callable, Dict





class       __UpperCAmelCase  ( lowerCamelCase__		):
   pass






def     a__  (	UpperCAmelCase							:    str       ,				UpperCAmelCase							:    Dict[str, Callable]       ,				UpperCAmelCase							:    Any=None       ,				UpperCAmelCase							:    Optional[int]=False    )						->		List[str]:
  try:
    UpperCAmelCase :							List[Any]								=				ast.parse(UpperCAmelCase    )
  except SyntaxError as e:
    print('''The code generated by the agent is not valid.\n'''       ,				UpperCAmelCase    )
    return
  if state is None:
    UpperCAmelCase :							Optional[int]								=				{}
  UpperCAmelCase :							Optional[int]								=				None
  for idx, node in enumerate(expression.body    ):
    try:
      UpperCAmelCase :							Optional[int]								=				evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
    except InterpretorError as e:
      UpperCAmelCase :							Union[str, Any]								=				f'''Evaluation of the code stopped at line {idx} before the end because of the following error'''
      if chat_mode:
        msg += (
            f'''. Copy paste the following error message and send it back to the agent:\nI get an error: \'{e}\''''
        )
      else:
        msg += f''':\n{e}'''
      print(UpperCAmelCase    )
      break
    if line_result is not None:
      UpperCAmelCase :							List[Any]								=				line_result

  return result

def     a__  (	UpperCAmelCase							:    ast.AST       ,				UpperCAmelCase							:    Dict[str, Any]       ,				UpperCAmelCase							:    Dict[str, Callable]    )						->		List[Any]:
  if isinstance(UpperCAmelCase       ,				ast.Assign    ):
    # Assignement -> we evaluate the assignement which should update the state
    # We return the variable assigned as it may be used to determine the final result.
    return evaluate_assign(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif isinstance(UpperCAmelCase       ,				ast.Call    ):
    # Function call -> we return the value of the function call
    return evaluate_call(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif isinstance(UpperCAmelCase       ,				ast.Constant    ):
    # Constant -> just return the value
    return expression.value
  elif isinstance(UpperCAmelCase       ,				ast.Dict    ):
    # Dict -> evaluate all keys and values
    UpperCAmelCase :							Optional[int]								=				[evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    ) for k in expression.keys]
    UpperCAmelCase :							Optional[int]								=				[evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    ) for v in expression.values]
    return dict(zip(UpperCAmelCase       ,				UpperCAmelCase    )    )
  elif isinstance(UpperCAmelCase       ,				ast.Expr    ):
    # Expression -> evaluate the content
    return evaluate_ast(expression.value       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif isinstance(UpperCAmelCase       ,				ast.For    ):
    # For loop -> execute the loop
    return evaluate_for(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif isinstance(UpperCAmelCase       ,				ast.FormattedValue    ):
    # Formatted value (part of f-string) -> evaluate the content and return
    return evaluate_ast(expression.value       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif isinstance(UpperCAmelCase       ,				ast.If    ):
    # If -> execute the right branch
    return evaluate_if(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif hasattr(UpperCAmelCase       ,				'''Index'''    ) and isinstance(UpperCAmelCase       ,				ast.Index    ):
    return evaluate_ast(expression.value       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif isinstance(UpperCAmelCase       ,				ast.JoinedStr    ):
    return "".join([str(evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )    ) for v in expression.values]    )
  elif isinstance(UpperCAmelCase       ,				ast.List    ):
    # List -> evaluate all elements
    return [evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    ) for elt in expression.elts]
  elif isinstance(UpperCAmelCase       ,				ast.Name    ):
    # Name -> pick up the value in the state
    return evaluate_name(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  elif isinstance(UpperCAmelCase       ,				ast.Subscript    ):
    # Subscript -> return the value of the indexing
    return evaluate_subscript(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  else:
    # For now we refuse anything else. Let's add things as we need them.
    raise InterpretorError(f'''{expression.__class__.__name__} is not supported.'''    )

def     a__  (	UpperCAmelCase							:    str       ,				UpperCAmelCase							:    Optional[Any]       ,				UpperCAmelCase							:    Union[str, Any]    )						->		Dict:
  UpperCAmelCase :							List[str]								=				assign.targets
  UpperCAmelCase :							List[Any]								=				evaluate_ast(assign.value       ,				UpperCAmelCase       ,				UpperCAmelCase    )

  if len(UpperCAmelCase    ) == 1:
    UpperCAmelCase :							Tuple								=				result
  else:
    if len(UpperCAmelCase    ) != len(UpperCAmelCase    ):
      raise InterpretorError(f'''Expected {len(UpperCAmelCase    )} values but got {len(UpperCAmelCase    )}.'''    )
    for var_name, r in zip(UpperCAmelCase       ,				UpperCAmelCase    ):
      UpperCAmelCase :							Any								=				r
  return result

def     a__  (	UpperCAmelCase							:    int       ,				UpperCAmelCase							:    Tuple       ,				UpperCAmelCase							:    List[str]    )						->		Any:
  if not isinstance(call.func       ,				ast.Name    ):
    raise InterpretorError(
        f'''It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func} of '''
        f'''type {type(call.func    )}.'''    )
  UpperCAmelCase :							Optional[Any]								=				call.func.id
  if func_name not in tools:
    raise InterpretorError(
        f'''It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func.id}).'''    )

  UpperCAmelCase :							int								=				tools[func_name]
  # Todo deal with args
  UpperCAmelCase :							List[str]								=				[evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    ) for arg in call.args]
  UpperCAmelCase :							int								=				{keyword.arg: evaluate_ast(keyword.value       ,				UpperCAmelCase       ,				UpperCAmelCase    ) for keyword in call.keywords}
  return func(*UpperCAmelCase       ,				**UpperCAmelCase    )

def     a__  (	UpperCAmelCase							:    Tuple       ,				UpperCAmelCase							:    Optional[Any]       ,				UpperCAmelCase							:    int    )						->		Any:
  UpperCAmelCase :							List[str]								=				evaluate_ast(subscript.slice       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  UpperCAmelCase :							Union[str, Any]								=				evaluate_ast(subscript.value       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  if isinstance(UpperCAmelCase       ,				(list, tuple)    ):
    return value[int(UpperCAmelCase    )]
  if index in value:
    return value[index]
  if isinstance(UpperCAmelCase       ,				UpperCAmelCase    ) and isinstance(UpperCAmelCase       ,				UpperCAmelCase    ):
    UpperCAmelCase :							Optional[int]								=				difflib.get_close_matches(UpperCAmelCase       ,				list(value.keys()    )    )
    if len(UpperCAmelCase    ) > 0:
      return value[close_matches[0]]

  raise InterpretorError(f'''Could not index {value} with \'{index}\'.'''    )

def     a__  (	UpperCAmelCase							:    Optional[Any]       ,				UpperCAmelCase							:    str       ,				UpperCAmelCase							:    int    )						->		int:
  if name.id in state:
    return state[name.id]
  UpperCAmelCase :							str								=				difflib.get_close_matches(name.id       ,				list(state.keys()    )    )
  if len(UpperCAmelCase    ) > 0:
    return state[close_matches[0]]
  raise InterpretorError(f'''The variable `{name.id}` is not defined.'''    )

def     a__  (	UpperCAmelCase							:    List[str]       ,				UpperCAmelCase							:    List[str]       ,				UpperCAmelCase							:    int    )						->		Optional[Any]:
  if len(condition.ops    ) > 1:
    raise InterpretorError('''Cannot evaluate conditions with multiple operators'''    )

  UpperCAmelCase :							Union[str, Any]								=				evaluate_ast(condition.left       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  UpperCAmelCase :							Dict								=				condition.ops[0]
  UpperCAmelCase :							Tuple								=				evaluate_ast(condition.comparators[0]       ,				UpperCAmelCase       ,				UpperCAmelCase    )

  if isinstance(UpperCAmelCase       ,				ast.Eq    ):
    return left == right
  elif isinstance(UpperCAmelCase       ,				ast.NotEq    ):
    return left != right
  elif isinstance(UpperCAmelCase       ,				ast.Lt    ):
    return left < right
  elif isinstance(UpperCAmelCase       ,				ast.LtE    ):
    return left <= right
  elif isinstance(UpperCAmelCase       ,				ast.Gt    ):
    return left > right
  elif isinstance(UpperCAmelCase       ,				ast.GtE    ):
    return left >= right
  elif isinstance(UpperCAmelCase       ,				ast.Is    ):
    return left is right
  elif isinstance(UpperCAmelCase       ,				ast.IsNot    ):
    return left is not right
  elif isinstance(UpperCAmelCase       ,				ast.In    ):
    return left in right
  elif isinstance(UpperCAmelCase       ,				ast.NotIn    ):
    return left not in right
  else:
    raise InterpretorError(f'''Operator not supported: {comparator}'''    )

def     a__  (	UpperCAmelCase							:    Optional[int]       ,				UpperCAmelCase							:    List[Any]       ,				UpperCAmelCase							:    Dict    )						->		int:
  UpperCAmelCase :							List[str]								=				None
  if evaluate_condition(if_statement.test       ,				UpperCAmelCase       ,				UpperCAmelCase    ):
    for line in if_statement.body:
      UpperCAmelCase :							Optional[Any]								=				evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
      if line_result is not None:
        UpperCAmelCase :							Dict								=				line_result
  else:
    for line in if_statement.orelse:
      UpperCAmelCase :							int								=				evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
      if line_result is not None:
        UpperCAmelCase :							Dict								=				line_result
  return result






def     a__  (	UpperCAmelCase							:    Dict       ,				UpperCAmelCase							:    Optional[Any]       ,				UpperCAmelCase							:    Optional[Any]    )						->		Union[str, Any]:
  UpperCAmelCase :							Optional[int]								=				None
  UpperCAmelCase :							Tuple								=				evaluate_ast(for_loop.iter       ,				UpperCAmelCase       ,				UpperCAmelCase    )
  for counter in iterator:
    UpperCAmelCase :							Optional[Any]								=				counter
    for expression in for_loop.body:
      UpperCAmelCase :							int								=				evaluate_ast(UpperCAmelCase       ,				UpperCAmelCase       ,				UpperCAmelCase    )
      if line_result is not None:
        UpperCAmelCase :							Dict								=				line_result
  return result








import csv
import os

import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.csv import CsvDatasetReader, CsvDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases

def     a__  (	UpperCAmelCase							:    int       ,				UpperCAmelCase							:    int    )						->		List[str]:
  assert isinstance(UpperCAmelCase       ,				UpperCAmelCase    )
  assert dataset.num_rows == 4
  assert dataset.num_columns == 3
  assert dataset.column_names == ["col_1", "col_2", "col_3"]
  for feature, expected_dtype in expected_features.items():
    assert dataset.features[feature].dtype == expected_dtype

@pytest.mark.parametrize('''keep_in_memory'''       ,				[False, True]    )
def     a__  (	UpperCAmelCase							:    Any       ,				UpperCAmelCase							:    List[Any]       ,				UpperCAmelCase							:    Optional[Any]    )						->		Optional[int]:
  UpperCAmelCase :							Optional[int]								=				tmp_path / '''cache'''
  UpperCAmelCase :							str								=				{'''col_1''': '''int64''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
    UpperCAmelCase :							Union[str, Any]								=				CsvDatasetReader(UpperCAmelCase       ,				cache_dir=UpperCAmelCase       ,				keep_in_memory=UpperCAmelCase    ).read()
  _check_csv_dataset(UpperCAmelCase       ,				UpperCAmelCase    )

@pytest.mark.parametrize(
    '''features'''       ,				[
        None,
        {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''},
        {'''col_1''': '''string''', '''col_2''': '''string''', '''col_3''': '''string'''},
        {'''col_1''': '''int32''', '''col_2''': '''int32''', '''col_3''': '''int32'''},
        {'''col_1''': '''float32''', '''col_2''': '''float32''', '''col_3''': '''float32'''},
    ]       ,				)
def     a__  (	UpperCAmelCase							:    Optional[int]       ,				UpperCAmelCase							:    int       ,				UpperCAmelCase							:    int    )						->		Optional[Any]:
  UpperCAmelCase :							List[str]								=				tmp_path / '''cache'''
  # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
  UpperCAmelCase :							Optional[Any]								=				{'''col_1''': '''int64''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  UpperCAmelCase :							List[Any]								=				features.copy() if features else default_expected_features
  UpperCAmelCase :							List[Any]								=				(
      Features({feature: Value(UpperCAmelCase    ) for feature, dtype in features.items()}    ) if features is not None else None
  )
  UpperCAmelCase :							Any								=				CsvDatasetReader(UpperCAmelCase       ,				features=UpperCAmelCase       ,				cache_dir=UpperCAmelCase    ).read()
  _check_csv_dataset(UpperCAmelCase       ,				UpperCAmelCase    )

@pytest.mark.parametrize('''split'''       ,				[None, NamedSplit('''train'''    ), '''train''', '''test''']    )
def     a__  (	UpperCAmelCase							:    Union[str, Any]       ,				UpperCAmelCase							:    Tuple       ,				UpperCAmelCase							:    str    )						->		Any:
  UpperCAmelCase :							List[str]								=				tmp_path / '''cache'''
  UpperCAmelCase :							Any								=				{'''col_1''': '''int64''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  UpperCAmelCase :							int								=				CsvDatasetReader(UpperCAmelCase       ,				cache_dir=UpperCAmelCase       ,				split=UpperCAmelCase    ).read()
  _check_csv_dataset(UpperCAmelCase       ,				UpperCAmelCase    )
  assert dataset.split == split if split else "train"

@pytest.mark.parametrize('''path_type'''       ,				[str, list]    )
def     a__  (	UpperCAmelCase							:    int       ,				UpperCAmelCase							:    List[str]       ,				UpperCAmelCase							:    Any    )						->		str:
  if issubclass(UpperCAmelCase       ,				UpperCAmelCase    ):
    UpperCAmelCase :							Tuple								=				csv_path
  elif issubclass(UpperCAmelCase       ,				UpperCAmelCase    ):
    UpperCAmelCase :							List[str]								=				[csv_path]
  UpperCAmelCase :							Tuple								=				tmp_path / '''cache'''
  UpperCAmelCase :							str								=				{'''col_1''': '''int64''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  UpperCAmelCase :							Tuple								=				CsvDatasetReader(UpperCAmelCase       ,				cache_dir=UpperCAmelCase    ).read()
  _check_csv_dataset(UpperCAmelCase       ,				UpperCAmelCase    )

def     a__  (	UpperCAmelCase							:    str       ,				UpperCAmelCase							:    Any       ,				UpperCAmelCase							:    int=("train",)    )						->		Optional[int]:
  assert isinstance(UpperCAmelCase       ,				UpperCAmelCase    )
  for split in splits:
    UpperCAmelCase :							Optional[Any]								=				dataset_dict[split]
    assert dataset.num_rows == 4
    assert dataset.num_columns == 3
    assert dataset.column_names == ["col_1", "col_2", "col_3"]
    for feature, expected_dtype in expected_features.items():
      assert dataset.features[feature].dtype == expected_dtype

@pytest.mark.parametrize('''keep_in_memory'''       ,				[False, True]    )
def     a__  (	UpperCAmelCase							:    Tuple       ,				UpperCAmelCase							:    List[Any]       ,				UpperCAmelCase							:    Tuple    )						->		Tuple:
  UpperCAmelCase :							Any								=				tmp_path / '''cache'''
  UpperCAmelCase :							Dict								=				{'''col_1''': '''int64''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
    UpperCAmelCase :							str								=				CsvDatasetReader({'''train''': csv_path}       ,				cache_dir=UpperCAmelCase       ,				keep_in_memory=UpperCAmelCase    ).read()
  _check_csv_datasetdict(UpperCAmelCase       ,				UpperCAmelCase    )

@pytest.mark.parametrize(
    '''features'''       ,				[
        None,
        {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''},
        {'''col_1''': '''string''', '''col_2''': '''string''', '''col_3''': '''string'''},
        {'''col_1''': '''int32''', '''col_2''': '''int32''', '''col_3''': '''int32'''},
        {'''col_1''': '''float32''', '''col_2''': '''float32''', '''col_3''': '''float32'''},
    ]       ,				)
def     a__  (	UpperCAmelCase							:    int       ,				UpperCAmelCase							:    Tuple       ,				UpperCAmelCase							:    Any    )						->		Optional[int]:
  UpperCAmelCase :							Tuple								=				tmp_path / '''cache'''
  # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
  UpperCAmelCase :							List[str]								=				{'''col_1''': '''int64''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  UpperCAmelCase :							Union[str, Any]								=				features.copy() if features else default_expected_features
  UpperCAmelCase :							List[str]								=				(
      Features({feature: Value(UpperCAmelCase    ) for feature, dtype in features.items()}    ) if features is not None else None
  )
  UpperCAmelCase :							List[Any]								=				CsvDatasetReader({'''train''': csv_path}       ,				features=UpperCAmelCase       ,				cache_dir=UpperCAmelCase    ).read()
  _check_csv_datasetdict(UpperCAmelCase       ,				UpperCAmelCase    )

@pytest.mark.parametrize('''split'''       ,				[None, NamedSplit('''train'''    ), '''train''', '''test''']    )
def     a__  (	UpperCAmelCase							:    Union[str, Any]       ,				UpperCAmelCase							:    List[Any]       ,				UpperCAmelCase							:    Optional[Any]    )						->		Dict:
  if split:
    UpperCAmelCase :							Union[str, Any]								=				{split: csv_path}
  else:
    UpperCAmelCase :							List[str]								=				{'''train''': csv_path, '''test''': csv_path}
  UpperCAmelCase :							str								=				tmp_path / '''cache'''
  UpperCAmelCase :							Tuple								=				{'''col_1''': '''int64''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  UpperCAmelCase :							str								=				CsvDatasetReader(UpperCAmelCase       ,				cache_dir=UpperCAmelCase    ).read()
  _check_csv_datasetdict(UpperCAmelCase       ,				UpperCAmelCase       ,				splits=list(path.keys()    )    )
  assert all(dataset[split].split == split for split in path.keys()    )

def     a__  (	UpperCAmelCase							:    Optional[Any]    )						->		int:
  with open(UpperCAmelCase       ,				encoding='''utf-8'''    ) as csvfile:
    yield from csv.reader(UpperCAmelCase    )

def     a__  (	UpperCAmelCase							:    List[str]       ,				UpperCAmelCase							:    Union[str, Any]    )						->		Union[str, Any]:
  UpperCAmelCase :							int								=				tmp_path / '''cache'''
  UpperCAmelCase :							int								=				os.path.join(UpperCAmelCase       ,				'''tmp.csv'''    )
  UpperCAmelCase :							List[str]								=				CsvDatasetReader({'''train''': csv_path}       ,				cache_dir=UpperCAmelCase    ).read()
  CsvDatasetWriter(dataset['''train''']       ,				UpperCAmelCase       ,				num_proc=1    ).write()

  UpperCAmelCase :							List[Any]								=				iter_csv_file(UpperCAmelCase    )
  UpperCAmelCase :							int								=				iter_csv_file(UpperCAmelCase    )

  for rowa, rowa in zip(UpperCAmelCase       ,				UpperCAmelCase    ):
    assert rowa == rowa

def     a__  (	UpperCAmelCase							:    Any       ,				UpperCAmelCase							:    Dict    )						->		Any:
  UpperCAmelCase :							List[Any]								=				tmp_path / '''cache'''
  UpperCAmelCase :							Tuple								=				os.path.join(UpperCAmelCase       ,				'''tmp.csv'''    )
  UpperCAmelCase :							List[str]								=				CsvDatasetReader({'''train''': csv_path}       ,				cache_dir=UpperCAmelCase    ).read()
  CsvDatasetWriter(dataset['''train''']       ,				UpperCAmelCase       ,				num_proc=2    ).write()

  UpperCAmelCase :							List[Any]								=				iter_csv_file(UpperCAmelCase    )
  UpperCAmelCase :							Union[str, Any]								=				iter_csv_file(UpperCAmelCase    )

  for rowa, rowa in zip(UpperCAmelCase       ,				UpperCAmelCase    ):
    assert rowa == rowa






def     a__  (	UpperCAmelCase							:    List[Any]       ,				UpperCAmelCase							:    Optional[int]    )						->		Optional[Any]:
  UpperCAmelCase :							Dict								=				tmp_path / '''cache'''
  UpperCAmelCase :							List[Any]								=				os.path.join(UpperCAmelCase       ,				'''tmp.csv'''    )
  UpperCAmelCase :							List[Any]								=				CsvDatasetReader({'''train''': csv_path}       ,				cache_dir=UpperCAmelCase    ).read()
  with pytest.raises(UpperCAmelCase    ):
    CsvDatasetWriter(dataset['''train''']       ,				UpperCAmelCase       ,				num_proc=0    )





