


'''simple docstring'''







import argparse
import itertools
import operator
import sys
from collections import OrderedDict

from run_eval import datetime_now, run_generate

from utils import ROUGE_KEYS


# A table of supported tasks and the list of scores in the order of importance to be sorted by.
# To add a new task, simply list the score names that `run_eval.run_generate()` returns
a__    :   Any								=			{
    'translation': ['bleu'],
    'summarization': ROUGE_KEYS,
}







def _UpperCamelCase			(	__A       )				->						Any:


      '''simple docstring'''



      UpperCamelCase__      =							search.split()
      UpperCamelCase__      =							dict((g.split("="       ) for g in groups)       )
      UpperCamelCase__      =							list(entries.keys()       )
      UpperCamelCase__      =							[[F'''--{k} {v}''' for v in vs.split(":"       )] for k, vs in entries.items()]
      UpperCamelCase__      =							[list(__A       ) for x in itertools.product(*__A       )]
      return matrix, entry_names







def _UpperCamelCase			(	)				->						Optional[Any]:


      '''simple docstring'''



      UpperCamelCase__      =							sys.argv[0]

      UpperCamelCase__      =							argparse.ArgumentParser(
          usage=(
              "\n\nImportant: this script accepts all arguments `run_eval.py` accepts and then a few extra, therefore"
              " refer to `run_eval.py -h` for the complete list."
          )       )
      parser.add_argument(
          "--search" ,     type=__A ,     required=__A ,     help="param space to search, e.g. \"num_beams=5:10 length_penalty=0.8:1.0:1.2\"" ,     )
      parser.add_argument(
          "--bs" ,     type=__A ,     default=8 ,     required=__A ,     help="initial batch size (may get reduced if it's too big)"       )
      parser.add_argument("--task" ,     type=__A ,     help="used for task_specific_params + metrics"       )
      parser.add_argument(
          "--info" ,     nargs="?" ,     type=__A ,     const=datetime_now() ,     help=(
              "add custom notes to be printed before the results table. If no value is passed, the current datetime"
              " string will be used."
          ) ,     )
      UpperCamelCase__   ,      UpperCamelCase__      =							parser.parse_known_args()
      # we share some of the args
      args_main.extend(["--task", args.task]       )
      UpperCamelCase__      =							[prog] + args_main

      # to support variations like translation_en_to_de"
      UpperCamelCase__      =							"translation" if "translation" in args.task else "summarization"

      UpperCamelCase__   ,      UpperCamelCase__      =							parse_search_arg(args.search       )
      UpperCamelCase__      =							task_score_names[task]  # score cols first
      UpperCamelCase__      =							{col: len(str(__A       )       ) for col in col_names}
      UpperCamelCase__      =							[]
      for r in matrix:
            UpperCamelCase__      =							dict((x.replace("--" ,     ""       ).split() for x in r)       )
            UpperCamelCase__      =							" ".join(__A       ).split()
            args_exp.extend(["--bs", str(args.bs       )]       )  # in case we need to reduce its size due to CUDA OOM
            UpperCamelCase__      =							args_normal + args_exp

            # XXX: need to trap CUDA OOM and lower args.bs if that happens and retry

            UpperCamelCase__      =							run_generate(verbose=__A       )
            # make sure scores are first in the table
            UpperCamelCase__      =							OrderedDict()
            for score in task_score_names[task]:
                  UpperCamelCase__      =							scores[score]
            result.update(__A       )
            results.append(__A       )

            # find widest entries
            for k, v in result.items():
                  UpperCamelCase__      =							len(str(__A       )       )
                  if l > col_widths[k]:
                        UpperCamelCase__      =							l

      UpperCamelCase__      =							sorted(__A ,     key=operator.itemgetter(*task_score_names[task]       ) ,     reverse=__A       )
      print(" | ".join([F'''{col:{col_widths[col]}}''' for col in col_names]       )       )
      print(" | ".join([F'''{'-'*col_widths[col]}''' for col in col_names]       )       )
      for row in results_sorted:
            print(" | ".join([F'''{row[col]:{col_widths[col]}}''' for col in col_names]       )       )

      UpperCamelCase__      =							results_sorted[0]
      for score in task_score_names[task]:
            del best[score]
      UpperCamelCase__      =							[F'''--{k} {v}''' for k, v in best.items()]
      UpperCamelCase__      =							["--bs", str(args.bs       )]
      if args.info:
            print(F'''\nInfo: {args.info}'''       )
      print("\nBest score args:"       )
      print(" ".join(args_main + best_args + dyn_args       )       )

      return results_sorted


if __name__ == "__main__":
  # Usage:
  # [normal-run_eval_search.py cmd plus] \
  # --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
  #
  # Example:
  # PYTHONPATH="src:examples/seq2seq" python examples/seq2seq/run_eval_search.py $MODEL_NAME \
  # $DATA_DIR/val.source $SAVE_DIR/test_translations.txt --reference_path $DATA_DIR/val.target \
  # --score_path $SAVE_DIR/test_bleu.json --bs $BS --task translation \
  # --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
  run_search()









'''simple docstring'''







from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

a__    :   Dict								=			TypeVar('T')
a__    :   Optional[Any]								=			TypeVar('U')
class    lowercase_	(       Generic[T, U]  ):


    def __init__(	self    ,   a    ,   a       ):
          UpperCamelCase__      =							key
          UpperCamelCase__      =							val
          UpperCamelCase__      =							0
          UpperCamelCase__      =							None
          UpperCamelCase__      =							None


    def __repr__(	self       ):
          return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
              self.key    ,   self.val    ,   self.freq    ,   self.next is not None    ,   self.prev is not None       )

class    lowercase_	(       Generic[T, U]  ):


    def __init__(	self       ):
          UpperCamelCase__      =							DoubleLinkedListNode(a    ,   a       )
          UpperCamelCase__      =							DoubleLinkedListNode(a    ,   a       )
          UpperCamelCase__   ,      UpperCamelCase__      =							self.rear, self.head


    def __repr__(	self       ):
          UpperCamelCase__      =							["DoubleLinkedList"]
          UpperCamelCase__      =							self.head
          while node.next is not None:
                rep.append(str(a       )       )
                UpperCamelCase__      =							node.next
          rep.append(str(self.rear       )       )
          return ",\n    ".join(a       )


    def   __a				(	self    ,   a       ):
          UpperCamelCase__      =							self.rear.prev

          # All nodes other than self.head are guaranteed to have non-None previous
          assert previous is not None

          UpperCamelCase__      =							node
          UpperCamelCase__      =							previous
          UpperCamelCase__      =							node
          UpperCamelCase__      =							self.rear
          node.freq += 1
          self._position_node(a       )


    def   __a				(	self    ,   a       ):

          while node.prev is not None and node.prev.freq > node.freq:
                # swap node with previous node
                UpperCamelCase__      =							node.prev

                UpperCamelCase__      =							previous_node.prev
                UpperCamelCase__      =							node.prev
                UpperCamelCase__      =							previous_node
                UpperCamelCase__      =							node


    def   __a				(	self    ,   a       ):

          if node.prev is None or node.next is None:
                return None

          UpperCamelCase__      =							node.next
          UpperCamelCase__      =							node.prev
          UpperCamelCase__      =							None
          UpperCamelCase__      =							None
          return node

class    lowercase_	(       Generic[T, U]  ):
    __UpperCAmelCase       =      {}


    def __init__(	self    ,   a       ):
          UpperCamelCase__      =							DoubleLinkedList()
          UpperCamelCase__      =							capacity
          UpperCamelCase__      =							0
          UpperCamelCase__      =							0
          UpperCamelCase__      =							0
          UpperCamelCase__      =							{}


    def __repr__(	self       ):
          return (
              f'''CacheInfo(hits={self.hits}, misses={self.miss}, '''
              f'''capacity={self.capacity}, current_size={self.num_keys})'''
          )


    def __contains__(	self    ,   a       ):
          return key in self.cache


    def   __a				(	self    ,   a       ):

          if key in self.cache:
                self.hits += 1
                UpperCamelCase__      =							self.cache[key]
                UpperCamelCase__      =							self.list.remove(self.cache[key]       )
                assert node == value_node

                # node is guaranteed not None because it is in self.cache
                assert node is not None
                self.list.add(a       )
                return node.val
          self.miss += 1
          return None


    def   __a				(	self    ,   a    ,   a       ):

          if key not in self.cache:
                if self.num_keys >= self.capacity:
                      # delete first node when over capacity
                      UpperCamelCase__      =							self.list.head.next

                      # guaranteed to have a non-None first node when num_keys > 0
                      # explain to type checker via assertions
                      assert first_node is not None
                      assert first_node.key is not None
                      assert self.list.remove(a       ) is not None
                      # first_node guaranteed to be in list

                      del self.cache[first_node.key]
                      self.num_keys -= 1
                UpperCamelCase__      =							DoubleLinkedListNode(a    ,   a       )
                self.list.add(self.cache[key]       )
                self.num_keys += 1

          else:
                UpperCamelCase__      =							self.list.remove(self.cache[key]       )
                assert node is not None  # node guaranteed to be in list
                UpperCamelCase__      =							value
                self.list.add(a       )


    @classmethod
    def   __a				(	cls    ,   a = 1_28       ):

          def cache_decorator_inner(a       ) -> Callable[..., U]:
                def cache_decorator_wrapper(*a       ) -> U:
                      if func not in cls.decorator_function_to_instance_map:
                            UpperCamelCase__      =							LFUCache(a       )

                      UpperCamelCase__      =							cls.decorator_function_to_instance_map[func].get(args[0]       )
                      if result is None:
                            UpperCamelCase__      =							func(*a       )
                            cls.decorator_function_to_instance_map[func].put(args[0]    ,   a       )
                      return result

                def cache_info() -> LFUCache[T, U]:
                      return cls.decorator_function_to_instance_map[func]

                setattr(a    ,   "cache_info"    ,   a       )  # noqa: B010

                return cache_decorator_wrapper

          return cache_decorator_inner


if __name__ == "__main__":
  import doctest

  doctest.testmod()





