
import itertools
from dataclasses import dataclass
from typing import List, Optional

import pyarrow as pa
import pyarrow.parquet as pq

import datasets
from datasets.table import table_cast


SCREAMING_SNAKE_CASE							:Dict										=    datasets.utils.logging.get_logger(__name__)





@dataclass
class 							UpperCAmelCase				(  datasets.BuilderConfig  ):




	'''simple docstring'''





	snake_case_    =					10000
	snake_case_    =					None
	snake_case_    =					None





class 							UpperCAmelCase				(  datasets.ArrowBasedBuilder  ):




	'''simple docstring'''





	snake_case_    =					ParquetConfig






	def     UpperCamelCase_  (	self :			Union[str, Any]			):
					return datasets.DatasetInfo(features=self.config.features			)






	def     UpperCamelCase_  (	self :			Tuple							,A :			int			):
					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}'''			)
					__A             =			dl_manager.download_and_extract(self.config.data_files			)
					if isinstance(A							,(str, list, tuple)			):
									__A             =			data_files
									if isinstance(A							,A			):
													__A             =			[files]
									# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
									__A             =			[dl_manager.iter_files(A			) for file in files]
									return [datasets.SplitGenerator(name=datasets.Split.TRAIN							,gen_kwargs={"files": files}			)]
					__A             =			[]
					for split_name, files in data_files.items():
									if isinstance(A							,A			):
													__A             =			[files]
									# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
									__A             =			[dl_manager.iter_files(A			) for file in files]
									# Infer features is they are stoed in the arrow schema
									if self.info.features is None:
													for file in itertools.chain.from_iterable(A			):
																	with open(A							,"rb"			) as f:
																					__A             =			datasets.Features.from_arrow_schema(pq.read_schema(A			)			)
																	break
									splits.append(datasets.SplitGenerator(name=A							,gen_kwargs={"files": files}			)			)
					return splits






	def     UpperCamelCase_  (	self :			Dict							,A :			pa.Table			):
					if self.info.features is not None:
									# more expensive cast to support nested features with keys in a different order
									# allows str <-> int/float or str to Audio for example
									__A             =			table_cast(A							,self.info.features.arrow_schema			)
					return pa_table







	def     UpperCamelCase_  (	self :			Any							,A :			List[str]			):
					__A             =			self.info.features.arrow_schema if self.info.features is not None else None
					if self.info.features is not None and self.config.columns is not None:
									if sorted(field.name for field in schema			) != sorted(self.config.columns			):
													raise ValueError(
													    f'''Tried to load parquet data with columns \'{self.config.columns}\' with mismatching features \'{self.info.features}\''''			)
					for file_idx, file in enumerate(itertools.chain.from_iterable(A			)			):
									with open(A							,"rb"			) as f:
													__A             =			pq.ParquetFile(A			)
													try:
																	for batch_idx, record_batch in enumerate(
																	    parquet_file.iter_batches(batch_size=self.config.batch_size							,columns=self.config.columns			)			):
																					__A             =			pa.Table.from_batches([record_batch]			)
																					# 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 f'''{file_idx}_{batch_idx}''', self._cast_table(A			)
													except ValueError as e:
																	logger.error(f'''Failed to read file \'{file}\' with error {type(A			)}: {e}'''			)
																	raise


import copy
import re





class 							UpperCAmelCase				:




	'''simple docstring'''





	snake_case_    =					"hp"
	snake_case_    =					{}
	snake_case_    =					None






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict							,A :			Dict							,A :			Any			):
					__A             =			prefix
					__A             =			defaults
					cls.build_naming_info()






	@staticmethod
	def     UpperCamelCase_  (	A :			Dict							,A :			int			):
					if len(A			) == 0:
									return ""
					__A             =			None
					if any(char.isdigit() for char in word			):
									raise Exception(f'''Parameters should not contain numbers: \'{word}\' contains a number'''			)
					if word in info["short_word"]:
									return info["short_word"][word]
					for prefix_len in range(1							,len(A			) + 1			):
									__A             =			word[:prefix_len]
									if prefix in info["reverse_short_word"]:
													continue
									else:
													__A             =			prefix
													break

					if short_word is None:
									# Paranoid fallback
									def int_to_alphabetic(A :			str			):
													__A             =			""
													while integer != 0:
																	__A             =			chr(ord("A"			) + integer % 10			) + s
																	integer //= 10
													return s

									__A             =			0
									while True:
													__A             =			word + "#" + int_to_alphabetic(A			)
													if sword in info["reverse_short_word"]:
																	continue
													else:
																	__A             =			sword
																	break

					__A             =			short_word
					__A             =			word
					return short_word






	@staticmethod
	def     UpperCamelCase_  (	A :			int							,A :			Tuple			):
					__A             =			param_name.split("_"			)

					__A             =			[TrialShortNamer.shortname_for_word(A							,A			) for word in words]

					# We try to create a separatorless short name, but if there is a collision we have to fallback
					# to a separated short name
					__A             =			["", "_"]

					for separator in separators:
									__A             =			separator.join(A			)
									if shortname not in info["reverse_short_param"]:
													__A             =			shortname
													__A             =			param_name
													return shortname

					return param_name






	@staticmethod
	def     UpperCamelCase_  (	A :			Optional[Any]							,A :			Tuple			):
					__A             =			TrialShortNamer.shortname_for_key(A							,A			)
					__A             =			short_name
					__A             =			param_name






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict			):
					if cls.NAMING_INFO is not None:
									return

					__A             =			{
					    "short_word": {},
					    "reverse_short_word": {},
					    "short_param": {},
					    "reverse_short_param": {},
					}

					__A             =			list(cls.DEFAULTS.keys()			)

					for k in field_keys:
									cls.add_new_param_name(A							,A			)

					__A             =			info






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict							,A :			List[str]			):
					cls.build_naming_info()
					assert cls.PREFIX is not None
					__A             =			[copy.copy(cls.PREFIX			)]

					for k, v in params.items():
									if k not in cls.DEFAULTS:
													raise Exception(f'''You should provide a default value for the param name {k} with value {v}'''			)
									if v == cls.DEFAULTS[k]:
													# The default value is not added to the name
													continue

									__A             =			cls.NAMING_INFO["short_param"][k]

									if isinstance(A							,A			):
													__A             =			1 if v else 0

									__A             =			"" if isinstance(A							,(int, float)			) else "-"
									__A             =			f'''{key}{sep}{v}'''
									name.append(A			)

					return "_".join(A			)







	@classmethod
	def     UpperCamelCase_  (	cls :			Tuple							,A :			Tuple			):
					__A             =			repr[len(cls.PREFIX			) + 1 :]
					if repr == "":
									__A             =			[]
					else:
									__A             =			repr.split("_"			)

					__A             =			{}

					for value in values:
									if "-" in value:
													__A      ,							__A             =			value.split("-"			)
									else:
													__A             =			re.sub("[0-9.]"							,""							,A			)
													__A             =			float(re.sub("[^0-9.]"							,""							,A			)			)

									__A             =			cls.NAMING_INFO["reverse_short_param"][p_k]

									__A             =			p_v

					for k in cls.DEFAULTS:
									if k not in parameters:
													__A             =			cls.DEFAULTS[k]

					return parameters
