mirror of
https://github.com/deepseek-ai/DeepSeek-Prover-V1.5
synced 2024-11-25 05:18:06 +00:00
1030 lines
48 KiB
Python
1030 lines
48 KiB
Python
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import re
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line_break_regex = re.compile(r'(?<=\n)')
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def process_lean_file(file_contents, byte_idx_1, byte_idx_2):
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def get_line(lines, line_number):
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if 1 <= line_number <= len(lines):
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return lines[line_number - 1]
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else:
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raise IndexError("Line number out of range")
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def convert_pos(lines, byte_idx):
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num_bytes = [len(line.encode('utf-8')) for line in lines]
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n = 0
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for i, num_bytes_in_line in enumerate(num_bytes, start=1):
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n += num_bytes_in_line
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if n > byte_idx:
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line_byte_idx = byte_idx - (n - num_bytes_in_line)
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if line_byte_idx == 0:
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return i, 1
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line = get_line(lines, i)
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m = 0
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for j, c in enumerate(line, start=1):
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m += len(c.encode("utf-8"))
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if m >= line_byte_idx:
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return i, j + 1
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return len(lines), len(lines[-1])
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def extract_string_between_positions(lines, byte_idx_1, byte_idx_2):
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line_1, column_1 = convert_pos(lines, byte_idx_1)
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line_2, column_2 = convert_pos(lines, byte_idx_2)
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extracted_string = []
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if line_1 == line_2:
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# If both positions are in the same line
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substring = lines[line_1 - 1][column_1 - 1:column_2 - 1]
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extracted_string.append(substring)
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else:
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# If positions span multiple lines
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extracted_string.append(lines[line_1 - 1][column_1 - 1:])
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for line in range(line_1 + 1, line_2):
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extracted_string.append(lines[line - 1])
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extracted_string.append(lines[line_2 - 1][:column_2 - 1])
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return ''.join(extracted_string)
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def convert_line_col_to_char_idx(lines, line, col):
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char_idx = 0
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for i in range(line - 1):
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char_idx += len(lines[i])
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char_idx += col - 1
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return char_idx
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lines = line_break_regex.split(file_contents)
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line_1, column_1 = convert_pos(lines, byte_idx_1)
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line_2, column_2 = convert_pos(lines, byte_idx_2)
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extracted_string = extract_string_between_positions(lines, byte_idx_1, byte_idx_2)
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char_idx_1 = convert_line_col_to_char_idx(lines, line_1, column_1)
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char_idx_2 = convert_line_col_to_char_idx(lines, line_2, column_2)
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return extracted_string, line_1, column_1, line_2, column_2, char_idx_1, char_idx_2
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def extract_positions(node):
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positions = []
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if isinstance(node, dict):
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if 'info' in node and 'original' in node['info']:
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info = node['info']['original']
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positions.append((info.get('pos'), info.get('endPos')))
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for key, value in node.items():
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positions.extend(extract_positions(value))
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elif isinstance(node, list):
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for item in node:
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positions.extend(extract_positions(item))
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return positions
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def extract_vals(data):
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vals = []
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if isinstance(data, dict):
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if "val" in data:
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vals.append(data["val"].strip())
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for value in data.values():
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vals.extend(extract_vals(value))
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elif isinstance(data, list):
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for item in data:
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vals.extend(extract_vals(item))
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return vals
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def find_doccomment_vals(data):
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vals = []
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positions = []
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if isinstance(data, dict):
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if data.get("kind") == "Lean.Parser.Command.docComment":
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args = data.get("args", [])
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for arg in args:
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if "atom" in arg:
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vals.append(arg["atom"]["val"])
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positions.append((arg["atom"]["info"]["original"]["pos"], arg["atom"]["info"]["original"]["endPos"]))
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for value in data.values():
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v, p = find_doccomment_vals(value)
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vals.extend(v)
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positions.extend(p)
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elif isinstance(data, list):
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for item in data:
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v, p = find_doccomment_vals(item)
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vals.extend(v)
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positions.extend(p)
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return vals, positions
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def find_attributes_vals(data):
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vals = []
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positions = []
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if isinstance(data, dict):
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if data.get("kind") in ["Lean.Parser.Term.attributes"]:
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args = data.get("args", [])
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for arg in args:
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vals.extend(extract_vals(arg))
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positions.extend(extract_positions(arg))
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for value in data.values():
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v, p = find_attributes_vals(value)
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vals.extend(v)
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positions.extend(p)
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elif isinstance(data, list):
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for item in data:
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v, p = find_attributes_vals(item)
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vals.extend(v)
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positions.extend(p)
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return vals, positions
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def find_pripro_vals(data):
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vals = []
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positions = []
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if isinstance(data, dict):
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if data.get("kind") in ["Lean.Parser.Command.private", "Lean.Parser.Command.protected"]:
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args = data.get("args", [])
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for arg in args:
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vals.extend(extract_vals(arg))
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positions.extend(extract_positions(arg))
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for value in data.values():
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v, p = find_pripro_vals(value)
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vals.extend(v)
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positions.extend(p)
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elif isinstance(data, list):
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for item in data:
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v, p = find_pripro_vals(item)
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vals.extend(v)
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positions.extend(p)
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return vals, positions
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def extract_other_vals(data):
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vals = []
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if isinstance(data, dict):
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if "val" in data:
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vals.append(data["val"])
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for value in data.values():
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vals.extend(extract_other_vals(value))
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elif isinstance(data, list):
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for item in data:
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vals.extend(extract_other_vals(item))
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return vals
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def find_kind_name_theorem_lemma_abbrev_def_instance_inductive(file_content, data):
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kind = None
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name = None
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kind_pos = None
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kind_end = None
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name_pos = None
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name_end = None
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if isinstance(data, dict):
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if len(data.get("node", {}).get("args", [])) > 1:
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second_node=data["node"]["args"][1]["node"]
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if second_node["kind"]== "Lean.Parser.Command.instance":
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atom = second_node.get("args", [])[1].get("atom", {})
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kind = atom.get("val")
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kind_pos = atom.get("info", {}).get("original", {}).get("pos")
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kind_end = atom.get("info", {}).get("original", {}).get("endPos")
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for arg in second_node.get("args", []):
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if arg.get("node"):
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if arg.get("node")["args"]:
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if arg.get("node")["args"][0].get("node",{}).get("kind") == "Lean.Parser.Command.declId":
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ident = arg.get("node")["args"][0]["node"]["args"][0]["ident"]
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name = ident.get("val")
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# print(name)
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name_pos = ident.get("info", {}).get("original", {}).get("pos")
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# print(name_pos)
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name_end = ident.get("info", {}).get("original", {}).get("endPos")
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break
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else:
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atom = second_node.get("args", [])[0].get("atom", {})
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kind = atom.get("val")
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kind_pos = atom.get("info", {}).get("original", {}).get("pos")
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kind_end = atom.get("info", {}).get("original", {}).get("endPos")
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for arg in second_node.get("args", []):
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if arg.get("node", {}).get("kind") == "Lean.Parser.Command.declId":
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ident = arg.get("node", {}).get("args", [])[0].get("ident", {})
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name = ident.get("val")
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name_pos = ident.get("info", {}).get("original", {}).get("pos")
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name_end = ident.get("info", {}).get("original", {}).get("endPos")
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break
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if kind_pos and kind_end:
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kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2 = process_lean_file(file_content, kind_pos, kind_end)
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else:
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kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2 = None,None,None, None,None,None,None
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if name_pos and name_end:
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name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = process_lean_file(file_content, name_pos, name_end)
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else:
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name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = None,None,None, None,None,None,None
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return kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2, name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2
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def find_statement_theorem_lemma_abbrev(file_content,data):
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explicitBinder_list = []
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type_list=[]
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second_node=data["node"]["args"][1]["node"]
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for arg in second_node.get("args", []):
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if arg.get("node", {}).get("kind") in ["Lean.Parser.Command.declSig", "Lean.Parser.Command.optDeclSig"]:
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node_declSig = arg.get("node")
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statement_positions= extract_positions(node_declSig)
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node_1=node_declSig["args"][0]["node"]
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node_2=node_declSig["args"][1]["node"] if len(node_declSig["args"]) > 1 else None
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for arg in node_1.get("args", []):
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if arg.get("node", {}).get("kind") in[ "Lean.Parser.Term.explicitBinder","Lean.Parser.Term.implicitBinder","Lean.Parser.Term.instBinder"]:
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node=arg.get("node", {})
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val=extract_vals(node)
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val=' '.join(val)
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positions=extract_positions(node)
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start_pos = min(pos[0] for pos in positions)
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end_pos = max(pos[1] for pos in positions)
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explicit, explicit_line_1, explicit_column_1, explicit_line_2, explicit_column_2, explicit_char_idx_1, explicit_char_idx_2 =process_lean_file(file_content,start_pos, end_pos)
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explicitBinder_list.append({
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"explicitBinder":{
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"content":explicit,
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"start_pos": {
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"position" :explicit_char_idx_1,
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"line" : explicit_line_1,
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"column" : explicit_column_1
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},
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"end_pos": {
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"position" : explicit_char_idx_2,
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"line" : explicit_line_2,
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"column" : explicit_column_2
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}
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}
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})
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if node_2 is not None and second_node["kind"] in ["Lean.Parser.Command.theorem", "group", "Lean.Parser.Command.abbrev"]:
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if node_2.get("kind") in ["Lean.Parser.Term.typeSpec"]:
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node=node_2
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val=extract_vals(node)
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val=' '.join(val)
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positions=extract_positions(node)
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start_pos = min(pos[0] for pos in positions)
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end_pos = max(pos[1] for pos in positions)
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explicit, explicit_line_1, explicit_column_1, explicit_line_2, explicit_column_2, explicit_char_idx_1, explicit_char_idx_2 =process_lean_file(file_content,start_pos, end_pos)
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type_list.append({
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"typeSpec":{
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"content":explicit,
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"start_pos": {
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"position" :explicit_char_idx_1,
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"line" : explicit_line_1,
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"column" : explicit_column_1
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},
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"end_pos": {
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"position" : explicit_char_idx_2,
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"line" : explicit_line_2,
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"column" : explicit_column_2
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}
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}
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})
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# print(explicitBinder_list,statement_positions)
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return explicitBinder_list, type_list, statement_positions
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def find_proof(file_content, data):
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vals = []
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positions = []
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if isinstance(data, dict):
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second_node = data["node"]["args"][1]["node"]
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for arg in second_node.get("args", []):
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if arg.get("node", {}).get("kind") in ["Lean.Parser.Command.declValSimple", "Lean.Parser.Command.declValEqns"]:
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vals.extend(extract_vals(arg))
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positions.extend(extract_positions(arg))
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break # 找到后即可退出
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if positions:
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proof_start_pos = min(pos[0] for pos in positions)
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proof_end_pos = max(pos[1] for pos in positions)
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proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = process_lean_file(file_content, proof_start_pos, proof_end_pos)
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else:
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proof_start_pos = None
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proof_end_pos = None
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proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = None,None,None, None,None,None, None
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return proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2
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def process_modifier(file_content, declaration, tactics):
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doccomment_vals, doccomment_positions = find_doccomment_vals(declaration)
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if doccomment_vals:
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comment_start_pos = min(pos[0] for pos in doccomment_positions)
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comment_end_pos = max(pos[1] for pos in doccomment_positions)
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comment, comment_line_1, comment_column_1, comment_line_2, comment_column_2, comment_char_idx_1, comment_char_idx_2 = process_lean_file(file_content,comment_start_pos,comment_end_pos)
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else:
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comment = None
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comment_start_pos = None
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comment_end_pos = None
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comment= None
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comment_line_1, comment_column_1, comment_line_2, comment_column_2, comment_char_idx_1, comment_char_idx_2 = None, None, None, None, None, None
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attributes_vals, attributes_positions = find_attributes_vals(declaration)
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if attributes_vals:
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attributes_start_pos = min(pos[0] for pos in attributes_positions)
|
||
|
|
attributes_end_pos = max(pos[1] for pos in attributes_positions)
|
||
|
|
attributes, attributes_line_1, attributes_column_1, attributes_line_2, attributes_column_2, attributes_char_idx_1, attributes_char_idx_2 = process_lean_file(file_content,attributes_start_pos,attributes_end_pos)
|
||
|
|
|
||
|
|
else:
|
||
|
|
attributes = None
|
||
|
|
attributes_start_pos = None
|
||
|
|
attributes_end_pos = None
|
||
|
|
attributes_line_1, attributes_column_1, attributes_line_2, attributes_column_2, attributes_char_idx_1, attributes_char_idx_2 = None, None, None, None, None, None
|
||
|
|
|
||
|
|
pripro_vals, pripro_positions = find_pripro_vals(declaration)
|
||
|
|
if pripro_vals:
|
||
|
|
pripro_start_pos = min(pos[0] for pos in pripro_positions)
|
||
|
|
pripro_end_pos = max(pos[1] for pos in pripro_positions)
|
||
|
|
pripro, pripro_line_1, pripro_column_1, pripro_line_2, pripro_column_2, pripro_char_idx_1, pripro_char_idx_2 = process_lean_file(file_content,pripro_start_pos,pripro_end_pos)
|
||
|
|
else:
|
||
|
|
pripro = None
|
||
|
|
pripro_start_pos = None
|
||
|
|
pripro_end_pos = None
|
||
|
|
pripro_line_1, pripro_column_1, pripro_line_2, pripro_column_2, pripro_char_idx_1, pripro_char_idx_2 = None, None, None, None, None, None
|
||
|
|
|
||
|
|
positions = extract_positions(declaration)
|
||
|
|
positions = [(start, end) for start, end in positions if start is not None and end is not None]
|
||
|
|
|
||
|
|
start_pos = min(pos[0] for pos in positions)
|
||
|
|
end_pos = max(pos[1] for pos in positions)
|
||
|
|
whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2 = process_lean_file(file_content, start_pos, end_pos)
|
||
|
|
|
||
|
|
tactics_list = []
|
||
|
|
for tactic in tactics:
|
||
|
|
if start_pos <= tactic["pos"] <= end_pos:
|
||
|
|
_, A,B,c,d, tactic["pos"], tactic["endPos"] = process_lean_file(file_content, tactic["pos"], tactic["endPos"])
|
||
|
|
tactics_list.append(tactic)
|
||
|
|
|
||
|
|
return tactics_list, comment, comment_line_1, comment_column_1, comment_line_2, comment_column_2, comment_char_idx_1, comment_char_idx_2, attributes, attributes_line_1, attributes_column_1, attributes_line_2, attributes_column_2, attributes_char_idx_1, attributes_char_idx_2, pripro, pripro_line_1, pripro_column_1, pripro_line_2, pripro_column_2, pripro_char_idx_1, pripro_char_idx_2, whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2
|
||
|
|
|
||
|
|
def theorem_lemma_abbrev(file_content, declaration,tactics):
|
||
|
|
tactics_list, comment, comment_line_1, comment_column_1, comment_line_2, comment_column_2, comment_char_idx_1, comment_char_idx_2, attributes, attributes_line_1, attributes_column_1, attributes_line_2, attributes_column_2, attributes_char_idx_1, attributes_char_idx_2, pripro, pripro_line_1, pripro_column_1, pripro_line_2, pripro_column_2, pripro_char_idx_1, pripro_char_idx_2, whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2= process_modifier(file_content, declaration,tactics)
|
||
|
|
|
||
|
|
kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2,name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = find_kind_name_theorem_lemma_abbrev_def_instance_inductive(file_content, declaration)
|
||
|
|
|
||
|
|
explicitBinder_list, type_list, statement_positions = find_statement_theorem_lemma_abbrev(file_content, declaration)
|
||
|
|
positions = extract_positions(declaration)
|
||
|
|
positions = [(start, end) for start, end in positions if start is not None and end is not None]
|
||
|
|
if not positions:
|
||
|
|
return {"kind" : kind}
|
||
|
|
|
||
|
|
whole_start_pos = min(pos[0] for pos in positions)
|
||
|
|
whole_end_pos = max(pos[1] for pos in positions)
|
||
|
|
if statement_positions:
|
||
|
|
statement_start_pos = whole_start_pos
|
||
|
|
statement_end_pos = max(pos[1] for pos in statement_positions)
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = process_lean_file(file_content, statement_start_pos, statement_end_pos)
|
||
|
|
else:
|
||
|
|
statement_start_pos = None
|
||
|
|
statement_end_pos = None
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = None, None, None, None, None, None,None
|
||
|
|
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = find_proof(file_content, declaration)
|
||
|
|
declaration_info = {
|
||
|
|
"kind" : kind,
|
||
|
|
"whole_start_pos" : {
|
||
|
|
"position" : whole_char_idx_1,
|
||
|
|
"line" : whole_line_1,
|
||
|
|
"column" : whole_column_1
|
||
|
|
},
|
||
|
|
|
||
|
|
"whole_end_pos" :{
|
||
|
|
"position" : whole_char_idx_2,
|
||
|
|
"line" : whole_line_2,
|
||
|
|
"column" : whole_column_2
|
||
|
|
},
|
||
|
|
|
||
|
|
"attributes": attributes,
|
||
|
|
"comment": {
|
||
|
|
"content": comment,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : comment_char_idx_1,
|
||
|
|
"line" : comment_line_1,
|
||
|
|
"column" : comment_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : comment_char_idx_2,
|
||
|
|
"line" : comment_line_2,
|
||
|
|
"column" : comment_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"private_protected": pripro,
|
||
|
|
"name": {
|
||
|
|
"content": name,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : name_char_idx_1,
|
||
|
|
"line" : name_line_1,
|
||
|
|
"column" : name_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : name_char_idx_2,
|
||
|
|
"line" : name_line_2,
|
||
|
|
"column" : name_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"parameters": explicitBinder_list,
|
||
|
|
"Type":type_list,
|
||
|
|
"statement":{
|
||
|
|
"content": statement_val_str,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : statement_char_idx_1,
|
||
|
|
"line" : statement_line_1,
|
||
|
|
"column" : statement_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : statement_char_idx_2,
|
||
|
|
"line" : statement_line_2,
|
||
|
|
"column" : statement_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"proof" :{
|
||
|
|
"content": proof,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : proof_char_idx_1,
|
||
|
|
"line" : proof_line_1,
|
||
|
|
"column" : proof_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : proof_char_idx_2,
|
||
|
|
"line" : proof_line_2,
|
||
|
|
"column" : proof_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return declaration_info
|
||
|
|
|
||
|
|
def find_statement_def(file_content,data):
|
||
|
|
explicitBinder_list = []
|
||
|
|
type_list=[]
|
||
|
|
second_node=data["node"]["args"][1]["node"]
|
||
|
|
|
||
|
|
for arg in second_node.get("args", []):
|
||
|
|
if arg.get("node", {}).get("kind") in ["Lean.Parser.Command.declSig", "Lean.Parser.Command.optDeclSig"]:
|
||
|
|
node_declSig = arg.get("node")
|
||
|
|
statement_positions= extract_positions(node_declSig)
|
||
|
|
node_1=node_declSig["args"][0]["node"]
|
||
|
|
node_2=node_declSig["args"][1]["node"]
|
||
|
|
for arg in node_1.get("args", []):
|
||
|
|
if arg.get("node", {}).get("kind") in[ "Lean.Parser.Term.explicitBinder","Lean.Parser.Term.implicitBinder","Lean.Parser.Term.instBinder"]:
|
||
|
|
node=arg.get("node", {})
|
||
|
|
val=extract_vals(node)
|
||
|
|
val=' '.join(val)
|
||
|
|
positions=extract_positions(node)
|
||
|
|
start_pos = min(pos[0] for pos in positions)
|
||
|
|
end_pos = max(pos[1] for pos in positions)
|
||
|
|
explicit, explicit_line_1, explicit_column_1, explicit_line_2, explicit_column_2, explicit_char_idx_1, explicit_char_idx_2 =process_lean_file(file_content,start_pos, end_pos)
|
||
|
|
# explicitBinder_list.append({"explicitBinder": [explicit, explicit_char_idx_1, explicit_line_1, explicit_column_1, explicit_char_idx_2, explicit_line_2, explicit_column_2]})
|
||
|
|
explicitBinder_list.append({
|
||
|
|
"explicitBinder":{
|
||
|
|
"content":explicit,
|
||
|
|
"start_pos": {
|
||
|
|
"position" :explicit_char_idx_1,
|
||
|
|
"line" : explicit_line_1,
|
||
|
|
"column" : explicit_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : explicit_char_idx_2,
|
||
|
|
"line" : explicit_line_2,
|
||
|
|
"column" : explicit_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
})
|
||
|
|
|
||
|
|
if second_node["kind"] in[ "Lean.Parser.Command.definition"] :
|
||
|
|
for arg in node_2.get("args", []):
|
||
|
|
if arg.get("node", {}).get("kind") in ["Lean.Parser.Term.typeSpec"]:
|
||
|
|
node=arg.get("node", {})
|
||
|
|
val=extract_vals(node)
|
||
|
|
val=' '.join(val)
|
||
|
|
positions=extract_positions(node)
|
||
|
|
start_pos = min(pos[0] for pos in positions)
|
||
|
|
end_pos = max(pos[1] for pos in positions)
|
||
|
|
explicit, explicit_line_1, explicit_column_1, explicit_line_2, explicit_column_2, explicit_char_idx_1, explicit_char_idx_2 =process_lean_file(file_content,start_pos, end_pos)
|
||
|
|
type_list.append({
|
||
|
|
"typeSpec":{
|
||
|
|
"content":explicit,
|
||
|
|
"start_pos": {
|
||
|
|
"position" :explicit_char_idx_1,
|
||
|
|
"line" : explicit_line_1,
|
||
|
|
"column" : explicit_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : explicit_char_idx_2,
|
||
|
|
"line" : explicit_line_2,
|
||
|
|
"column" : explicit_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
})
|
||
|
|
|
||
|
|
elif second_node["kind"] in[ "Lean.Parser.Command.instance"]:
|
||
|
|
val=extract_vals(node_2)
|
||
|
|
val=' '.join(val)
|
||
|
|
positions=extract_positions(node_2)
|
||
|
|
start_pos = min(pos[0] for pos in positions)
|
||
|
|
end_pos = max(pos[1] for pos in positions)
|
||
|
|
explicit, explicit_line_1, explicit_column_1, explicit_line_2, explicit_column_2, explicit_char_idx_1, explicit_char_idx_2 =process_lean_file(file_content,start_pos, end_pos)
|
||
|
|
type_list.append({
|
||
|
|
"typeSpec":{
|
||
|
|
"content":explicit,
|
||
|
|
"start_pos": {
|
||
|
|
"position" :explicit_char_idx_1,
|
||
|
|
"line" : explicit_line_1,
|
||
|
|
"column" : explicit_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : explicit_char_idx_2,
|
||
|
|
"line" : explicit_line_2,
|
||
|
|
"column" : explicit_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
})
|
||
|
|
return explicitBinder_list,type_list, statement_positions
|
||
|
|
|
||
|
|
def definition_instance(file_content, declaration,tactics):
|
||
|
|
tactics_list, comment, comment_line_1, comment_column_1, comment_line_2, comment_column_2, comment_char_idx_1, comment_char_idx_2, attributes, attributes_line_1, attributes_column_1, attributes_line_2, attributes_column_2, attributes_char_idx_1, attributes_char_idx_2, pripro, pripro_line_1, pripro_column_1, pripro_line_2, pripro_column_2, pripro_char_idx_1, pripro_char_idx_2, whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2= process_modifier(file_content, declaration,tactics)
|
||
|
|
|
||
|
|
kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2,name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = find_kind_name_theorem_lemma_abbrev_def_instance_inductive(file_content, declaration)
|
||
|
|
|
||
|
|
explicitBinder_list,type_list, statement_positions = find_statement_def(file_content,declaration)
|
||
|
|
positions = extract_positions(declaration)
|
||
|
|
positions = [(start, end) for start, end in positions if start is not None and end is not None]
|
||
|
|
if not positions:
|
||
|
|
return {"kind" : kind}
|
||
|
|
|
||
|
|
whole_start_pos = min(pos[0] for pos in positions)
|
||
|
|
whole_end_pos = max(pos[1] for pos in positions)
|
||
|
|
if statement_positions:
|
||
|
|
statement_start_pos = whole_start_pos
|
||
|
|
statement_end_pos = max(pos[1] for pos in statement_positions)
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = process_lean_file(file_content, statement_start_pos, statement_end_pos)
|
||
|
|
|
||
|
|
else:
|
||
|
|
statement_start_pos = None
|
||
|
|
statement_end_pos = None
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = None, None, None, None, None, None,None
|
||
|
|
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = find_proof(file_content, declaration)
|
||
|
|
declaration_info = {
|
||
|
|
"kind" : kind,
|
||
|
|
"whole_start_pos" : {
|
||
|
|
"position" : whole_char_idx_1,
|
||
|
|
"line" : whole_line_1,
|
||
|
|
"column" : whole_column_1
|
||
|
|
},
|
||
|
|
|
||
|
|
"whole_end_pos" :{
|
||
|
|
"position" : whole_char_idx_2,
|
||
|
|
"line" : whole_line_2,
|
||
|
|
"column" : whole_column_2
|
||
|
|
},
|
||
|
|
|
||
|
|
"attributes": attributes,
|
||
|
|
"comment": {
|
||
|
|
"content": comment,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : comment_char_idx_1,
|
||
|
|
"line" : comment_line_1,
|
||
|
|
"column" : comment_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : comment_char_idx_2,
|
||
|
|
"line" : comment_line_2,
|
||
|
|
"column" : comment_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"private_protected": pripro,
|
||
|
|
"name": {
|
||
|
|
"content": name,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : name_char_idx_1,
|
||
|
|
"line" : name_line_1,
|
||
|
|
"column" : name_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : name_char_idx_2,
|
||
|
|
"line" : name_line_2,
|
||
|
|
"column" : name_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"parameters": explicitBinder_list,
|
||
|
|
"Type":type_list,
|
||
|
|
"statement":{
|
||
|
|
"content": statement_val_str,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : statement_char_idx_1,
|
||
|
|
"line" : statement_line_1,
|
||
|
|
"column" : statement_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : statement_char_idx_2,
|
||
|
|
"line" : statement_line_2,
|
||
|
|
"column" : statement_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"proof" :{
|
||
|
|
"content": proof,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : proof_char_idx_1,
|
||
|
|
"line" : proof_line_1,
|
||
|
|
"column" : proof_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : proof_char_idx_2,
|
||
|
|
"line" : proof_line_2,
|
||
|
|
"column" : proof_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return declaration_info
|
||
|
|
|
||
|
|
def find_kind_name_structure(file_content, data):
|
||
|
|
kind = None
|
||
|
|
name = None
|
||
|
|
kind_pos = None
|
||
|
|
kind_end = None
|
||
|
|
name_pos = None
|
||
|
|
name_end = None
|
||
|
|
|
||
|
|
if isinstance(data, dict):
|
||
|
|
if len(data.get("node", {}).get("args", [])) > 1:
|
||
|
|
second_node=data["node"]["args"][1]["node"]
|
||
|
|
if second_node["kind"]== "Lean.Parser.Command.structure":
|
||
|
|
node_structureTk=second_node["args"][0]["node"]
|
||
|
|
atom = node_structureTk["args"][0]["atom"]
|
||
|
|
kind = atom.get("val")
|
||
|
|
kind_pos = atom.get("info", {}).get("original", {}).get("pos")
|
||
|
|
kind_end = atom.get("info", {}).get("original", {}).get("endPos")
|
||
|
|
|
||
|
|
for arg in second_node.get("args", []):
|
||
|
|
if arg.get("node"):
|
||
|
|
if arg.get("node").get("kind") == "Lean.Parser.Command.declId":
|
||
|
|
node_declId = second_node["args"][1]["node"]
|
||
|
|
val=extract_vals(node_declId)
|
||
|
|
val=' '.join(val)
|
||
|
|
positions=extract_positions(node_declId)
|
||
|
|
name_pos = min(pos[0] for pos in positions)
|
||
|
|
name_end = max(pos[1] for pos in positions)
|
||
|
|
|
||
|
|
if kind_pos and kind_end:
|
||
|
|
kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2 = process_lean_file(file_content, kind_pos, kind_end)
|
||
|
|
else:
|
||
|
|
kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2 = None,None,None, None,None,None,None
|
||
|
|
|
||
|
|
if name_pos and name_end:
|
||
|
|
name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = process_lean_file(file_content, name_pos, name_end)
|
||
|
|
else:
|
||
|
|
name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = None,None,None, None,None,None,None
|
||
|
|
return kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2, name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2
|
||
|
|
|
||
|
|
def find_statement_structure(file_content,data):
|
||
|
|
explicitBinder_list = []
|
||
|
|
second_node=data["node"]["args"][1]["node"]
|
||
|
|
statement_positions=None
|
||
|
|
for arg in second_node.get("args", []):
|
||
|
|
if arg.get("node"):
|
||
|
|
if arg.get("node")["args"]:
|
||
|
|
if arg.get("node")["args"][0].get("node"):
|
||
|
|
if arg.get("node")["args"][0].get("node")["kind"] in [ "Lean.Parser.Term.explicitBinder","Lean.Parser.Term.implicitBinder","Lean.Parser.Term.instBinder"]:
|
||
|
|
node_all= arg.get("node")
|
||
|
|
statement_positions= extract_positions(node_all)
|
||
|
|
# print(statement_positions)
|
||
|
|
for arg in node_all.get("args", []):
|
||
|
|
if arg.get("node", {}).get("kind") in[ "Lean.Parser.Term.explicitBinder","Lean.Parser.Term.implicitBinder","Lean.Parser.Term.instBinder"]:
|
||
|
|
node=arg.get("node", {})
|
||
|
|
val=extract_vals(node)
|
||
|
|
val=' '.join(val)
|
||
|
|
positions=extract_positions(node)
|
||
|
|
start_pos = min(pos[0] for pos in positions)
|
||
|
|
end_pos = max(pos[1] for pos in positions)
|
||
|
|
explicit, explicit_line_1, explicit_column_1, explicit_line_2, explicit_column_2, explicit_char_idx_1, explicit_char_idx_2 =process_lean_file(file_content,start_pos, end_pos)
|
||
|
|
# explicitBinder_list.append({"explicitBinder": [explicit, explicit_char_idx_1, explicit_line_1, explicit_column_1, explicit_char_idx_2, explicit_line_2, explicit_column_2]})
|
||
|
|
explicitBinder_list.append({
|
||
|
|
"explicitBinder":{
|
||
|
|
"content":explicit,
|
||
|
|
"start_pos": {
|
||
|
|
"position" :explicit_char_idx_1,
|
||
|
|
"line" : explicit_line_1,
|
||
|
|
"column" : explicit_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : explicit_char_idx_2,
|
||
|
|
"line" : explicit_line_2,
|
||
|
|
"column" : explicit_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
})
|
||
|
|
|
||
|
|
return explicitBinder_list, statement_positions
|
||
|
|
|
||
|
|
def find_proof_structure(file_content, declaration):
|
||
|
|
vals = []
|
||
|
|
positions = []
|
||
|
|
second_node=declaration["node"]["args"][1]["node"]
|
||
|
|
for arg in second_node.get("args", []):
|
||
|
|
if arg.get("node"):
|
||
|
|
if arg.get("node")["args"]:
|
||
|
|
if arg.get("node")["args"][0].get("atom"):
|
||
|
|
if arg.get("node")["args"][0].get("atom").get("val")== "where":
|
||
|
|
vals.extend(extract_vals(arg))
|
||
|
|
positions.extend(extract_positions(arg))
|
||
|
|
break
|
||
|
|
if positions:
|
||
|
|
proof_start_pos = min(pos[0] for pos in positions)
|
||
|
|
proof_end_pos = max(pos[1] for pos in positions)
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = process_lean_file(file_content, proof_start_pos, proof_end_pos)
|
||
|
|
else:
|
||
|
|
proof_start_pos = None
|
||
|
|
proof_end_pos = None
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = None,None,None, None,None,None, None
|
||
|
|
|
||
|
|
|
||
|
|
return proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2
|
||
|
|
|
||
|
|
def structure(file_content, declaration,tactics):
|
||
|
|
tactics_list, comment, comment_line_1, comment_column_1, comment_line_2, comment_column_2, comment_char_idx_1, comment_char_idx_2, attributes, attributes_line_1, attributes_column_1, attributes_line_2, attributes_column_2, attributes_char_idx_1, attributes_char_idx_2, pripro, pripro_line_1, pripro_column_1, pripro_line_2, pripro_column_2, pripro_char_idx_1, pripro_char_idx_2, whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2= process_modifier(file_content, declaration,tactics)
|
||
|
|
|
||
|
|
kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2,name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = find_kind_name_structure(file_content, declaration)
|
||
|
|
|
||
|
|
explicitBinder_list, statement_positions = find_statement_structure(file_content, declaration)
|
||
|
|
positions = extract_positions(declaration)
|
||
|
|
positions = [(start, end) for start, end in positions if start is not None and end is not None]
|
||
|
|
if not positions:
|
||
|
|
return {"kind" : kind}
|
||
|
|
|
||
|
|
whole_start_pos = min(pos[0] for pos in positions)
|
||
|
|
whole_end_pos = max(pos[1] for pos in positions)
|
||
|
|
if statement_positions:
|
||
|
|
statement_start_pos = whole_start_pos
|
||
|
|
statement_end_pos = max(pos[1] for pos in statement_positions)
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = process_lean_file(file_content, statement_start_pos, statement_end_pos)
|
||
|
|
|
||
|
|
else:
|
||
|
|
statement_start_pos = None
|
||
|
|
statement_end_pos = None
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = None, None, None, None, None, None,None
|
||
|
|
|
||
|
|
if statement_positions:
|
||
|
|
statement_start_pos = min(pos[0] for pos in statement_positions)
|
||
|
|
statement_end_pos = max(pos[1] for pos in statement_positions)
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = process_lean_file(file_content, statement_start_pos, statement_end_pos)
|
||
|
|
else:
|
||
|
|
statement_start_pos = None
|
||
|
|
statement_end_pos = None
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = None, None, None, None, None, None,None
|
||
|
|
|
||
|
|
parts = [attributes, pripro, kind, name, statement_val_str]
|
||
|
|
non_none_parts = [part for part in parts if part is not None]
|
||
|
|
statement = ' '.join(non_none_parts).strip()
|
||
|
|
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = find_proof_structure(file_content, declaration)
|
||
|
|
declaration_info = {
|
||
|
|
"kind" : kind,
|
||
|
|
"whole_start_pos" : {
|
||
|
|
"position" : whole_char_idx_1,
|
||
|
|
"line" : whole_line_1,
|
||
|
|
"column" : whole_column_1
|
||
|
|
},
|
||
|
|
|
||
|
|
"whole_end_pos" :{
|
||
|
|
"position" : whole_char_idx_2,
|
||
|
|
"line" : whole_line_2,
|
||
|
|
"column" : whole_column_2
|
||
|
|
},
|
||
|
|
|
||
|
|
"attributes": attributes,
|
||
|
|
"comment": {
|
||
|
|
"content": comment,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : comment_char_idx_1,
|
||
|
|
"line" : comment_line_1,
|
||
|
|
"column" : comment_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : comment_char_idx_2,
|
||
|
|
"line" : comment_line_2,
|
||
|
|
"column" : comment_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"private_protected": pripro,
|
||
|
|
"name": {
|
||
|
|
"content": name,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : name_char_idx_1,
|
||
|
|
"line" : name_line_1,
|
||
|
|
"column" : name_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : name_char_idx_2,
|
||
|
|
"line" : name_line_2,
|
||
|
|
"column" : name_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"parameters": explicitBinder_list,
|
||
|
|
"statement":{
|
||
|
|
"content": statement_val_str,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : statement_char_idx_1,
|
||
|
|
"line" : statement_line_1,
|
||
|
|
"column" : statement_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : statement_char_idx_2,
|
||
|
|
"line" : statement_line_2,
|
||
|
|
"column" : statement_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"proof" :{
|
||
|
|
"content": proof,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : proof_char_idx_1,
|
||
|
|
"line" : proof_line_1,
|
||
|
|
"column" : proof_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : proof_char_idx_2,
|
||
|
|
"line" : proof_line_2,
|
||
|
|
"column" : proof_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
}
|
||
|
|
return declaration_info
|
||
|
|
|
||
|
|
def find_proof_inductive(file_content, declaration):
|
||
|
|
vals = []
|
||
|
|
positions = []
|
||
|
|
second_node=declaration["node"]["args"][1]["node"]
|
||
|
|
for arg in second_node.get("args", []):
|
||
|
|
if arg.get("node"):
|
||
|
|
if arg.get("node")["args"]:
|
||
|
|
if arg.get("node")["args"][0].get("node",{}).get("kind",{}) == "Lean.Parser.Command.ctor":
|
||
|
|
vals.extend(extract_vals(arg))
|
||
|
|
positions.extend(extract_positions(arg))
|
||
|
|
break
|
||
|
|
if positions:
|
||
|
|
proof_start_pos = min(pos[0] for pos in positions)
|
||
|
|
proof_end_pos = max(pos[1] for pos in positions)
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = process_lean_file(file_content, proof_start_pos, proof_end_pos)
|
||
|
|
else:
|
||
|
|
proof_start_pos = None
|
||
|
|
proof_end_pos = None
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = None,None,None, None,None,None, None
|
||
|
|
return proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2
|
||
|
|
|
||
|
|
def inductive(file_content, declaration,tactics):
|
||
|
|
tactics_list, comment, comment_line_1, comment_column_1, comment_line_2, comment_column_2, comment_char_idx_1, comment_char_idx_2, attributes, attributes_line_1, attributes_column_1, attributes_line_2, attributes_column_2, attributes_char_idx_1, attributes_char_idx_2, pripro, pripro_line_1, pripro_column_1, pripro_line_2, pripro_column_2, pripro_char_idx_1, pripro_char_idx_2, whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2= process_modifier(file_content, declaration,tactics)
|
||
|
|
|
||
|
|
kind, kind_line_1, kind_column_1, kind_line_2, kind_column_2, kind_char_idx_1, kind_char_idx_2,name, name_line_1, name_column_1, name_line_2, name_column_2, name_char_idx_1, name_char_idx_2 = find_kind_name_theorem_lemma_abbrev_def_instance_inductive(file_content, declaration)
|
||
|
|
|
||
|
|
explicitBinder_list,type_list, statement_positions = find_statement_theorem_lemma_abbrev(file_content, declaration)
|
||
|
|
positions = extract_positions(declaration)
|
||
|
|
positions = [(start, end) for start, end in positions if start is not None and end is not None]
|
||
|
|
if not positions:
|
||
|
|
return {"kind" : kind}
|
||
|
|
|
||
|
|
whole_start_pos = min(pos[0] for pos in positions)
|
||
|
|
whole_end_pos = max(pos[1] for pos in positions)
|
||
|
|
# statement_val_str = ' '.join(statement_vals)
|
||
|
|
if statement_positions:
|
||
|
|
statement_start_pos = whole_start_pos
|
||
|
|
statement_end_pos = max(pos[1] for pos in statement_positions)
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = process_lean_file(file_content, statement_start_pos, statement_end_pos)
|
||
|
|
# print(statement_val_str)
|
||
|
|
else:
|
||
|
|
statement_start_pos = None
|
||
|
|
statement_end_pos = None
|
||
|
|
statement_val_str, statement_line_1, statement_column_1, statement_line_2, statement_column_2, statement_char_idx_1, statement_char_idx_2 = None, None, None, None, None, None,None
|
||
|
|
|
||
|
|
parts = [attributes, pripro, kind, name, statement_val_str]
|
||
|
|
non_none_parts = [part for part in parts if part is not None]
|
||
|
|
statement = ' '.join(non_none_parts).strip()
|
||
|
|
|
||
|
|
proof, proof_line_1, proof_column_1, proof_line_2, proof_column_2, proof_char_idx_1, proof_char_idx_2 = find_proof_inductive(file_content, declaration)
|
||
|
|
declaration_info = {
|
||
|
|
"kind" : kind,
|
||
|
|
"whole_start_pos" : {
|
||
|
|
"position" : whole_char_idx_1,
|
||
|
|
"line" : whole_line_1,
|
||
|
|
"column" : whole_column_1
|
||
|
|
},
|
||
|
|
|
||
|
|
"whole_end_pos" :{
|
||
|
|
"position" : whole_char_idx_2,
|
||
|
|
"line" : whole_line_2,
|
||
|
|
"column" : whole_column_2
|
||
|
|
},
|
||
|
|
|
||
|
|
"attributes": attributes,
|
||
|
|
"comment": {
|
||
|
|
"content": comment,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : comment_char_idx_1,
|
||
|
|
"line" : comment_line_1,
|
||
|
|
"column" : comment_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : comment_char_idx_2,
|
||
|
|
"line" : comment_line_2,
|
||
|
|
"column" : comment_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"private_protected": pripro,
|
||
|
|
"name": {
|
||
|
|
"content": name,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : name_char_idx_1,
|
||
|
|
"line" : name_line_1,
|
||
|
|
"column" : name_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : name_char_idx_2,
|
||
|
|
"line" : name_line_2,
|
||
|
|
"column" : name_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"parameters": explicitBinder_list,
|
||
|
|
"Type":type_list,
|
||
|
|
"statement":{
|
||
|
|
"content": statement_val_str,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : statement_char_idx_1,
|
||
|
|
"line" : statement_line_1,
|
||
|
|
"column" : statement_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : statement_char_idx_2,
|
||
|
|
"line" : statement_line_2,
|
||
|
|
"column" : statement_column_2
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"proof" :{
|
||
|
|
"content": proof,
|
||
|
|
"start_pos": {
|
||
|
|
"position" : proof_char_idx_1,
|
||
|
|
"line" : proof_line_1,
|
||
|
|
"column" : proof_column_1
|
||
|
|
},
|
||
|
|
"end_pos": {
|
||
|
|
"position" : proof_char_idx_2,
|
||
|
|
"line" : proof_line_2,
|
||
|
|
"column" : proof_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return declaration_info
|
||
|
|
|
||
|
|
def lean4_parser(file_content, data):
|
||
|
|
tactics = data.get("tactics")
|
||
|
|
premises = data.get("premises")
|
||
|
|
command_asts = data.get("commandASTs")
|
||
|
|
|
||
|
|
declarations_info = []
|
||
|
|
for i, declaration in enumerate(command_asts):
|
||
|
|
kind = declaration.get("node", {}).get("kind")
|
||
|
|
if kind in ["Lean.Parser.Command.declaration", "lemma"]:
|
||
|
|
if len(declaration.get("node", {}).get("args", [])) > 1 and declaration["node"]["args"][1]["node"]["kind"] in ["Lean.Parser.Command.theorem","Lean.Parser.Command.example", "group", "Lean.Parser.Command.abbrev"]:
|
||
|
|
declaration_info = theorem_lemma_abbrev(file_content, declaration,tactics)
|
||
|
|
declarations_info.append(declaration_info)
|
||
|
|
elif len(declaration.get("node", {}).get("args", [])) > 1 and declaration["node"]["args"][1]["node"]["kind"] in [ "Lean.Parser.Command.definition","Lean.Parser.Command.instance"]:
|
||
|
|
declaration_info = definition_instance(file_content, declaration,tactics)
|
||
|
|
declarations_info.append(declaration_info)
|
||
|
|
|
||
|
|
elif len(declaration.get("node", {}).get("args", [])) > 1 and declaration["node"]["args"][1]["node"]["kind"] in [ "Lean.Parser.Command.structure"]:
|
||
|
|
declaration_info = structure(file_content, declaration,tactics)
|
||
|
|
declarations_info.append(declaration_info)
|
||
|
|
|
||
|
|
elif len(declaration.get("node", {}).get("args", [])) > 1 and declaration["node"]["args"][1]["node"]["kind"] in [ "Lean.Parser.Command.inductive"]:
|
||
|
|
declaration_info = inductive(file_content, declaration,tactics)
|
||
|
|
declarations_info.append(declaration_info)
|
||
|
|
|
||
|
|
else:
|
||
|
|
positions = extract_positions(declaration)
|
||
|
|
positions = [(start, end) for start, end in positions if start is not None and end is not None]
|
||
|
|
if positions:
|
||
|
|
start_pos = min(pos[0] for pos in positions)
|
||
|
|
end_pos = max(pos[1] for pos in positions)
|
||
|
|
whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2 = process_lean_file(file_content, start_pos, end_pos)
|
||
|
|
else:
|
||
|
|
start_pos=None
|
||
|
|
end_pos =None
|
||
|
|
whole, whole_line_1, whole_column_1, whole_line_2, whole_column_2, whole_char_idx_1, whole_char_idx_2=None,None,None,None,None,None,None
|
||
|
|
declaration_info={
|
||
|
|
"kind": kind,
|
||
|
|
"content":whole,
|
||
|
|
"whole_start_pos" : {
|
||
|
|
"position" : whole_char_idx_1,
|
||
|
|
"line" : whole_line_1,
|
||
|
|
"column" : whole_column_1
|
||
|
|
},
|
||
|
|
"whole_end_pos" :{
|
||
|
|
"position" : whole_char_idx_2,
|
||
|
|
"line" : whole_line_2,
|
||
|
|
"column" : whole_column_2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
declarations_info.append(declaration_info)
|
||
|
|
|
||
|
|
return dict(
|
||
|
|
tactics=tactics,
|
||
|
|
premises=premises,
|
||
|
|
declarations=declarations_info,
|
||
|
|
)
|