
'''simple docstring'''



from collections import defaultdict
from math import ceil, sqrt


def A (__lowerCamelCase :int = 1000000					,      __lowerCamelCase :int = 10						):
						_lowerCAmelCase    		=					defaultdict(__lowerCamelCase						)

						for outer_width in range(3					,      (t_limit // 4) + 2						):
												if outer_width * outer_width > t_limit:
																		_lowerCAmelCase    		=					max(
																		    ceil(sqrt(outer_width * outer_width - t_limit						)						)					,      1						)
												else:
																		_lowerCAmelCase    		=					1

												hole_width_lower_bound += (outer_width - hole_width_lower_bound) % 2

												for hole_width in range(__lowerCamelCase					,      outer_width - 1					,      2						):
																		count[outer_width * outer_width - hole_width * hole_width] += 1

						return sum(1 for n in count.values() if 1 <= n <= 10						)


if __name__ == "__main__":
						print(F"""{solution() = }""")



# 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 re

from ..utils import cached_file


# docstyle-ignore
_lowerCamelCase      :					Optional[int]					    =      '''
Human: <<task>>

Assistant: '''


_lowerCamelCase      :					str					    =      '''huggingface-tools/default-prompts'''
_lowerCamelCase      :					Optional[int]					    =      {'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}





def      A__					(			__A  :						Dict     ,				__A  :						Dict     ,				__A  :						Optional[Any]="run"			)					->Any:
      if prompt_or_repo_id is None:
            __A    =DEFAULT_PROMPTS_REPO

      # prompt is considered a repo ID when it does not contain any kind of space
      if re.search('''\\s'''     ,				__A			) is not None:
            return prompt_or_repo_id

      __A    =cached_file(
          __A     ,				PROMPT_FILES[mode]     ,				repo_type='''dataset'''     ,				user_agent={'''agent''': agent_name}			)
      with open(__A     ,				'''r'''     ,				encoding='''utf-8'''			) as f:
            return f.read()


