Fix typo for final submission
Browse files- tools/chess_tools.py +122 -122
tools/chess_tools.py
CHANGED
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@@ -1,123 +1,123 @@
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from smolagents import Tool, tool
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from openai import OpenAI
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import shutil
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@tool
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def chess_engine_locator() -> str | None:
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"""
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Get the path to the chess engine binary. Can be used with chess.engine.SimpleEngine.popen_uci function from chess.engine Python module.
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Returns:
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str: Path to the chess engine.
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"""
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path = shutil.which('stockfish')
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return path if path else None
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class ImageToChessBoardFENTool(Tool):
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name = 'image_to_chess_board_fen'
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description = '''Convert a chessboard image to board part of the FEN.'''
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inputs = {
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'image_url': {
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'type': 'string',
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'description': 'Public URL of the image (preferred) or base64 encoded image in data URL format',
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}
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}
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output_type = 'string'
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def __init__(self, client: OpenAI | None = None, **kwargs):
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self.client = client if client is not None else OpenAI()
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super().__init__(**kwargs)
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def attachment_for(self, task_id: str | None):
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self.task_id = task_id
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def forward(self, image_url: str) -> str:
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"""
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Convert a chessboard image to board part of the FEN.
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Args:
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image_url (str): Public URL of the image (preferred) or base64 encoded image in data URL format.
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Returns:
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str: Board part of the FEN.
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"""
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client = self.client
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response = client.
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model='gpt-4.1',
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input=[
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{
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'role': 'user',
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'content': [
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{
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'type': 'input_text',
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'text': 'Describe the position of the pieces on the chessboard from the image. Please, nothing else but description.',
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},
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{'type': 'input_image', 'image_url': image_url},
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],
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},
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],
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)
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response = client.responses.create(
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model='gpt-4.1',
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input=[
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{
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'role': 'user',
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'content': [
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{
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'type': 'input_text',
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'text': 'Describe the position of the pieces on the chessboard from the image. Please, nothing else but description.',
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},
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],
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},
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]
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+ response.output
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+ [
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{
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'role': 'user',
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'content': [
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{
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'type': 'input_text',
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'text': """\
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Write down all positions with known pieces.
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Use a standard one-letter code to name pieces.
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It is important to use the correct case for piece code. Use upper case for white and lower case for black.
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It is important to include information about all the mentioned positions.
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Describe each position in a new line.
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Follow format: <piece><position> (piece first, then position, no spaces)
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Return nothing but lines with positions.
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""",
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},
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],
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}
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],
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)
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board_pos = response.output_text
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pos_dict = {}
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for post_str in board_pos.splitlines():
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pos_str = pos_str.strip()
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if len(pos_str) != 3:
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continue
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piece = post_str[0]
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pos = pos_str[1:3]
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pos_dict[pos] = piece
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board_fen = ''
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for rank in range (8, 0, -1):
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empty = 0
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for file_c in range(ord('a'), ord('h') +1):
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file = chr(file_c)
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square = file + str(rank)
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if square in pos_dict:
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if empty > 0:
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board_fen += str(empty)
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empty = 0
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board_fen += pos_dict[square]
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else:
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empty += 1
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if empty > 0:
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board_fen += str(empty)
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if rank != 1:
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board_fen += '/'
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return board_fen
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+
from smolagents import Tool, tool
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from openai import OpenAI
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import shutil
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+
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+
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@tool
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def chess_engine_locator() -> str | None:
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| 8 |
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"""
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| 9 |
+
Get the path to the chess engine binary. Can be used with chess.engine.SimpleEngine.popen_uci function from chess.engine Python module.
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| 10 |
+
Returns:
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+
str: Path to the chess engine.
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"""
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path = shutil.which('stockfish')
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return path if path else None
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+
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class ImageToChessBoardFENTool(Tool):
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name = 'image_to_chess_board_fen'
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description = '''Convert a chessboard image to board part of the FEN.'''
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inputs = {
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'image_url': {
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'type': 'string',
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'description': 'Public URL of the image (preferred) or base64 encoded image in data URL format',
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}
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}
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output_type = 'string'
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+
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def __init__(self, client: OpenAI | None = None, **kwargs):
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self.client = client if client is not None else OpenAI()
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super().__init__(**kwargs)
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def attachment_for(self, task_id: str | None):
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self.task_id = task_id
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+
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def forward(self, image_url: str) -> str:
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"""
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Convert a chessboard image to board part of the FEN.
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+
Args:
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image_url (str): Public URL of the image (preferred) or base64 encoded image in data URL format.
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+
Returns:
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str: Board part of the FEN.
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"""
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client = self.client
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+
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response = client.responses.create(
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model='gpt-4.1',
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input=[
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{
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'role': 'user',
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+
'content': [
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+
{
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'type': 'input_text',
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'text': 'Describe the position of the pieces on the chessboard from the image. Please, nothing else but description.',
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},
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{'type': 'input_image', 'image_url': image_url},
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],
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},
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],
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)
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response = client.responses.create(
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model='gpt-4.1',
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input=[
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{
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'role': 'user',
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'content': [
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{
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'type': 'input_text',
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'text': 'Describe the position of the pieces on the chessboard from the image. Please, nothing else but description.',
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},
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],
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},
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]
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+ response.output
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+ [
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{
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'role': 'user',
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'content': [
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{
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'type': 'input_text',
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'text': """\
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Write down all positions with known pieces.
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+
Use a standard one-letter code to name pieces.
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+
It is important to use the correct case for piece code. Use upper case for white and lower case for black.
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| 84 |
+
It is important to include information about all the mentioned positions.
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| 85 |
+
Describe each position in a new line.
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+
Follow format: <piece><position> (piece first, then position, no spaces)
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Return nothing but lines with positions.
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""",
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},
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],
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}
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],
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)
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board_pos = response.output_text
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pos_dict = {}
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for post_str in board_pos.splitlines():
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pos_str = pos_str.strip()
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if len(pos_str) != 3:
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continue
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piece = post_str[0]
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pos = pos_str[1:3]
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pos_dict[pos] = piece
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board_fen = ''
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for rank in range (8, 0, -1):
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empty = 0
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for file_c in range(ord('a'), ord('h') +1):
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file = chr(file_c)
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square = file + str(rank)
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if square in pos_dict:
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if empty > 0:
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board_fen += str(empty)
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empty = 0
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board_fen += pos_dict[square]
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else:
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empty += 1
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if empty > 0:
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board_fen += str(empty)
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if rank != 1:
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board_fen += '/'
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return board_fen
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