





import argparse
import os
import sys
import urllib.request
import zipfile


_UpperCamelCase   :							List[str]     =	["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
_UpperCamelCase   :							List[Any]     =	{
    """CoLA""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4""",
    """SST""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8""",
    """MRPC""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc""",
    """QQP""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5""",
    """STS""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5""",
    """MNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce""",
    """SNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df""",
    """QNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601""",
    """RTE""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb""",
    """WNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf""",
    """diagnostic""": """https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D""",
}

_UpperCamelCase   :							Any     =	"""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
_UpperCamelCase   :							Union[str, Any]     =	"""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""
def 				__UpperCamelCase  (		snake_case    ,	snake_case     )  ->						int:


   '''simple docstring'''







   print(F"Downloading and extracting {task}..."     )
   __A				 =       F"{task}.zip"
   urllib.request.urlretrieve(TASKaPATH[task]    ,	snake_case     )
   with zipfile.ZipFile(snake_case     ) as zip_ref:
      zip_ref.extractall(snake_case     )
   os.remove(snake_case     )
   print('''\tCompleted!'''     )
def 				__UpperCamelCase  (		snake_case    ,	snake_case     )  ->						List[Any]:


   '''simple docstring'''







   print('''Processing MRPC...'''     )
   __A				 =       os.path.join(snake_case    ,	'''MRPC'''     )
   if not os.path.isdir(snake_case     ):
      os.mkdir(snake_case     )
   if path_to_data:
      __A				 =       os.path.join(snake_case    ,	'''msr_paraphrase_train.txt'''     )
      __A				 =       os.path.join(snake_case    ,	'''msr_paraphrase_test.txt'''     )
   else:
      print('''Local MRPC data not specified, downloading data from %s''' % MRPC_TRAIN     )
      __A				 =       os.path.join(snake_case    ,	'''msr_paraphrase_train.txt'''     )
      __A				 =       os.path.join(snake_case    ,	'''msr_paraphrase_test.txt'''     )
      urllib.request.urlretrieve(snake_case    ,	snake_case     )
      urllib.request.urlretrieve(snake_case    ,	snake_case     )
   if not os.path.isfile(snake_case     ):
      raise ValueError(F"Train data not found at {mrpc_train_file}"     )
   if not os.path.isfile(snake_case     ):
      raise ValueError(F"Test data not found at {mrpc_test_file}"     )
   urllib.request.urlretrieve(TASKaPATH['''MRPC''']    ,	os.path.join(snake_case    ,	'''dev_ids.tsv'''     )     )

   __A				 =       []
   with open(os.path.join(snake_case    ,	'''dev_ids.tsv'''     )    ,	encoding='''utf8'''     ) as ids_fh:
      for row in ids_fh:
         dev_ids.append(row.strip().split('''\t'''     )     )

   with open(snake_case    ,	encoding='''utf8'''     ) as data_fh, open(
       os.path.join(snake_case    ,	'''train.tsv'''     )    ,	'''w'''    ,	encoding='''utf8'''     ) as train_fh, open(os.path.join(snake_case    ,	'''dev.tsv'''     )    ,	'''w'''    ,	encoding='''utf8'''     ) as dev_fh:
      __A				 =       data_fh.readline()
      train_fh.write(snake_case     )
      dev_fh.write(snake_case     )
      for row in data_fh:
         __A ,						__A ,						__A ,						__A ,						__A				 =       row.strip().split('''\t'''     )
         if [ida, ida] in dev_ids:
            dev_fh.write('''%s\t%s\t%s\t%s\t%s\n''' % (label, ida, ida, sa, sa)     )
         else:
            train_fh.write('''%s\t%s\t%s\t%s\t%s\n''' % (label, ida, ida, sa, sa)     )

   with open(snake_case    ,	encoding='''utf8'''     ) as data_fh, open(
       os.path.join(snake_case    ,	'''test.tsv'''     )    ,	'''w'''    ,	encoding='''utf8'''     ) as test_fh:
      __A				 =       data_fh.readline()
      test_fh.write('''index\t#1 ID\t#2 ID\t#1 String\t#2 String\n'''     )
      for idx, row in enumerate(snake_case     ):
         __A ,						__A ,						__A ,						__A ,						__A				 =       row.strip().split('''\t'''     )
         test_fh.write('''%d\t%s\t%s\t%s\t%s\n''' % (idx, ida, ida, sa, sa)     )
   print('''\tCompleted!'''     )
def 				__UpperCamelCase  (		snake_case     )  ->						int:


   '''simple docstring'''







   print('''Downloading and extracting diagnostic...'''     )
   if not os.path.isdir(os.path.join(snake_case    ,	'''diagnostic'''     )     ):
      os.mkdir(os.path.join(snake_case    ,	'''diagnostic'''     )     )
   __A				 =       os.path.join(snake_case    ,	'''diagnostic'''    ,	'''diagnostic.tsv'''     )
   urllib.request.urlretrieve(TASKaPATH['''diagnostic''']    ,	snake_case     )
   print('''\tCompleted!'''     )
   return
def 				__UpperCamelCase  (		snake_case     )  ->						Tuple:


   '''simple docstring'''







   __A				 =       task_names.split(''','''     )
   if "all" in task_names:
      __A				 =       TASKS
   else:
      __A				 =       []
      for task_name in task_names:
         if task_name not in TASKS:
            raise ValueError(F"Task {task_name} not found!"     )
         tasks.append(snake_case     )
   return tasks
def 				__UpperCamelCase  (		snake_case     )  ->						Tuple:


   '''simple docstring'''







   __A				 =       argparse.ArgumentParser()
   parser.add_argument('''--data_dir'''    ,	help='''directory to save data to'''    ,	type=snake_case    ,	default='''glue_data'''     )
   parser.add_argument(
       '''--tasks'''    ,	help='''tasks to download data for as a comma separated string'''    ,	type=snake_case    ,	default='''all'''     )
   parser.add_argument(
       '''--path_to_mrpc'''    ,	help='''path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt'''    ,	type=snake_case    ,	default=''''''    ,	)
   __A				 =       parser.parse_args(snake_case     )

   if not os.path.isdir(args.data_dir     ):
      os.mkdir(args.data_dir     )
   __A				 =       get_tasks(args.tasks     )

   for task in tasks:
      if task == "MRPC":
         format_mrpc(args.data_dir    ,	args.path_to_mrpc     )
      elif task == "diagnostic":
         download_diagnostic(args.data_dir     )
      else:
         download_and_extract(snake_case    ,	args.data_dir     )


if __name__ == "__main__":
    sys.exit(main(sys.argv[1:]))








class 						_lowerCAmelCase:

  """simple docstring"""







  def __init__( self  ,    UpperCAmelCase     )-> List[Any]:
     __A				 =       val
     # Number of nodes in left subtree
     __A				 =       0
     __A				 =       None
     __A				 =       None
     __A				 =       None





  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> List[Any]:
     assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

     if self.val < other.val:
        __A				 =       self.right
        __A				 =       None
        if self.right:
           __A				 =       other
        __A				 =       other
        __A				 =       self.left_tree_size * 2 + 1
        return self
     else:
        __A				 =       other.right
        __A				 =       None
        if other.right:
           __A				 =       self
        __A				 =       self
        __A				 =       other.left_tree_size * 2 + 1
        return other







class 						_lowerCAmelCase:

  """simple docstring"""







  def __init__( self  ,    UpperCAmelCase=None  ,    UpperCAmelCase=None  ,    UpperCAmelCase=0     )-> List[Any]:
     __A				 =       heap_size
     __A				 =       bottom_root
     __A				 =       min_node

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> Optional[int]:

     # Empty heaps corner cases
     if other.size == 0:
        return None
     if self.size == 0:
        __A				 =       other.size
        __A				 =       other.bottom_root
        __A				 =       other.min_node
        return None
     # Update size
     __A				 =       self.size + other.size

     # Update min.node
     if self.min_node.val > other.min_node.val:
        __A				 =       other.min_node
     # Merge

     # Order roots by left_subtree_size
     __A				 =       []
     __A ,						__A				 =       self.bottom_root, other.bottom_root
     while i or j:
        if i and ((not j) or i.left_tree_size < j.left_tree_size):
           combined_roots_list.append((i, True)     )
           __A				 =       i.parent
        else:
           combined_roots_list.append((j, False)     )
           __A				 =       j.parent
        # Insert links between them
     for i in range(len(UpperCAmelCase     ) - 1     ):
        if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
           __A				 =       combined_roots_list[i + 1][0]
           __A				 =       combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
     __A				 =       combined_roots_list[0][0]
     while i.parent:
        if (
            (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
        ) or (
            i.left_tree_size == i.parent.left_tree_size
            and i.left_tree_size != i.parent.parent.left_tree_size
        ):
           # Neighbouring Nodes
           __A				 =       i.left
           __A				 =       i.parent.parent

           # Merging trees
           __A				 =       i.merge_trees(i.parent     )

           # Updating links
           __A				 =       previous_node
           __A				 =       next_node
           if previous_node:
              __A				 =       i
           if next_node:
              __A				 =       i
        else:
           __A				 =       i.parent
        # Updating self.bottom_root
     while i.left:
        __A				 =       i.left
     __A				 =       i

     # Update other
     __A				 =       self.size
     __A				 =       self.bottom_root
     __A				 =       self.min_node

     # Return the merged heap
     return self

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> Optional[Any]:
     if self.size == 0:
        __A				 =       Node(UpperCAmelCase     )
        __A				 =       1
        __A				 =       self.bottom_root
     else:
        # Create new node
        __A				 =       Node(UpperCAmelCase     )

        # Update size
        self.size += 1

        # update min_node
        if val < self.min_node.val:
           __A				 =       new_node
        # Put new_node as a bottom_root in heap
        __A				 =       new_node
        __A				 =       self.bottom_root
        __A				 =       new_node

        # Consecutively merge roots with same left_tree_size
        while (
            self.bottom_root.parent
            and self.bottom_root.left_tree_size
            == self.bottom_root.parent.left_tree_size
        ):
           # Next node
           __A				 =       self.bottom_root.parent.parent

           # Merge
           __A				 =       self.bottom_root.merge_trees(self.bottom_root.parent     )

           # Update Links
           __A				 =       next_node
           __A				 =       None
           if next_node:
              __A				 =       self.bottom_root

  def 		SCREAMING_SNAKE_CASE__	( self     )-> int:
     return self.min_node.val

  def 		SCREAMING_SNAKE_CASE__	( self     )-> Tuple:
     return self.size == 0

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[Any]:
     __A				 =       self.min_node.val

     # Last element in heap corner case
     if self.size == 1:
        # Update size
        __A				 =       0

        # Update bottom root
        __A				 =       None

        # Update min_node
        __A				 =       None

        return min_value
     # No right subtree corner case
     # The structure of the tree implies that this should be the bottom root
     # and there is at least one other root
     if self.min_node.right is None:
        # Update size
        self.size -= 1

        # Update bottom root
        __A				 =       self.bottom_root.parent
        __A				 =       None

        # Update min_node
        __A				 =       self.bottom_root
        __A				 =       self.bottom_root.parent
        while i:
           if i.val < self.min_node.val:
              __A				 =       i
           __A				 =       i.parent
        return min_value
     # General case
     # Find the BinomialHeap of the right subtree of min_node
     __A				 =       self.min_node.right
     __A				 =       None
     __A				 =       bottom_of_new
     __A				 =       1

     # Size, min_node and bottom_root
     while bottom_of_new.left:
        __A				 =       size_of_new * 2 + 1
        __A				 =       bottom_of_new.left
        if bottom_of_new.val < min_of_new.val:
           __A				 =       bottom_of_new
        # Corner case of single root on top left path
     if (not self.min_node.left) and (not self.min_node.parent):
        __A				 =       size_of_new
        __A				 =       bottom_of_new
        __A				 =       min_of_new
        # print("Single root, multiple nodes case")
        return min_value
     # Remaining cases
     # Construct heap of right subtree
     __A				 =       BinomialHeap(
         bottom_root=UpperCAmelCase  ,    min_node=UpperCAmelCase  ,    heap_size=UpperCAmelCase     )

     # Update size
     __A				 =       self.size - 1 - size_of_new

     # Neighbour nodes
     __A				 =       self.min_node.left
     __A				 =       self.min_node.parent

     # Initialize new bottom_root and min_node
     __A				 =       previous_node or next_node
     __A				 =       next_node

     # Update links of previous_node and search below for new min_node and
     # bottom_root
     if previous_node:
        __A				 =       next_node

        # Update bottom_root and search for min_node below
        __A				 =       previous_node
        __A				 =       previous_node
        while self.bottom_root.left:
           __A				 =       self.bottom_root.left
           if self.bottom_root.val < self.min_node.val:
              __A				 =       self.bottom_root
     if next_node:
        __A				 =       previous_node

        # Search for new min_node above min_node
        __A				 =       next_node
        while i:
           if i.val < self.min_node.val:
              __A				 =       i
           __A				 =       i.parent
        # Merge heaps
     self.merge_heaps(UpperCAmelCase     )

     return min_value

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[str]:
     __A				 =       self.bottom_root
     while top_root.parent:
        __A				 =       top_root.parent
     # preorder
     __A				 =       []
     self.__traversal(UpperCAmelCase  ,    UpperCAmelCase     )
     return heap_pre_order

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase  ,    UpperCAmelCase  ,    UpperCAmelCase=0     )-> Optional[Any]:
     if curr_node:
        preorder.append((curr_node.val, level)     )
        self.__traversal(curr_node.left  ,    UpperCAmelCase  ,    level + 1     )
        self.__traversal(curr_node.right  ,    UpperCAmelCase  ,    level + 1     )
     else:
        preorder.append(('''#''', level)     )





  def __str__( self     )-> str:
     if self.is_empty():
        return ""
     __A				 =       self.pre_order()

     return "\n".join(('''-''' * level + str(UpperCAmelCase     )) for value, level in preorder_heap     )


# Unit Tests
if __name__ == "__main__":
    import doctest

    doctest.testmod()

