I have the following problem which I posed to 4 different LLMs. I want you to carefully read the problem and then each solution. Choose the best ideas and elements from ALL solutions to the extent they are complementary and not conflicting/inconsistent, and then weave together a true hybrid "best of all worlds" implementation which you are highly confident will not only work, but will outperform any of the individual solutions individually: Original prompt: ``` I want you to make me a super sophisticated yet performant python function called "fix_invalid_markdown_tables" that takes markdown text as input and looks for tables that are invalid, then diagnoses what is wrong with them, and fixes them in a minimally invasive way. The function should make no change at all to any tables that ARE valid, and it should skip over any non-table content completely. Here are examples of invalid tables it should be able to fix: ``` | ●| we have a limited customer base and limited sales and relationships with international customers; ---|---|--- | ●| difficulty in managing multinational operations; ---|---|--- | ●| we may face competitors in the overseas markets who are more dominant and have stronger ties with customers and greater financial and other resources; ---|---|--- | ●| fluctuations in currency exchange rates; ---|---|--- | ●| challenges in providing customer services and support in these markets; ---|---|--- | ●| challenges in managing our international sales channels effectively; ---|---|--- | ●| unexpected transportation delays or interruptions or increases in international transportation costs; ---|---|--- | ●| difficulties in and costs of exporting products overseas while complying with the different commercial, legal and regulatory requirements of the overseas markets in which we offer our products; ---|---|--- | ●| difficulty in ensuring that our customers comply with the sanctions imposed by the Office of Foreign Assets Control, or OFAC, on various foreign states, organizations and individuals; ---|---|--- | ●| inability to obtain, maintain or enforce intellectual property rights; ---|---|--- | ●| inability to effectively enforce contractual or legal rights or intellectual property rights in certain jurisdictions under which we operate, including contracts with our existing and future customers and partners; ---|---|--- | ●| changes in a specific country or region’s political or economic conditions or policies; ---|---|--- | ●| unanticipated changes in prevailing economic conditions and regulatory requirements; and ---|---|--- ``` ``` **Title of each class**| | **Trading**** ****Symbol**| | **Name of each exchange on which********registered** ---|---|---|---|--- American Depositary Shares, each representing 15 Class A ordinary share| ​| CAN| ​| NASDAQ Global Market. Class A ordinary shares, par value US$0.00000005 per share*| ​| ​| ​| NASDAQ Global Market. ``` ``` | | July 31,| | | October 31,| ---|---|---|---|---|---|--- | | 2023| | | 2022| | | (unaudited)| | | | ASSETS| | | | | | | | Current assets:| | | | | | | | Cash and cash equivalents| | $| 1,506,028| | | $| 73,648| Prepaid expenses and other receivables| | | 124,290| | | | 35,000| Deferred offering costs| | | -| | | | 1,643,881| Total current assets| | | 1,630,318| | | | 1,752,529| | | | | | | | | Oil and gas properties - not subject to amortization| | | 9,045,333| | | | 5,836,232| Advance to operators| | | 494,950| | | | 1,900,000| Total assets| | $| 11,170,601| | | $| 9,488,761| | | | | | | | | LIABILITIES AND STOCKHOLDERS’ EQUITY| | | | | | | | Current liabilities:| | | | | | | | Accounts payable and accrued liabilities| | $| 819,926| | | $| 1,164,055| Asset retirement obligations – current| | | 2,778| | | | 2,778| Notes payable - investors, net of discounts| | | -| | | | 4,403,439| Notes payable - related party, net of discounts| | | -| | | | 1,025,497| Warrants liability| | | -| | | | 114,883| Total current liabilities| | | 822,704| | | | 6,710,652| | | | | | | | | Long-term liabilities:| | | | | | | | Franchise tax accrual| | | 3,750| | | | 9,450| Asset retirement obligations, net of current portion| | | 47,619| | | | 45,535| Total Long-term liabilities| | | 51,369| | | | 54,985| Total liabilities| | | 874,073| | | | 6,765,637| | | | | | | | | Commitments and Contingencies (Note 7)| | | -| | | | -| | | | | | | | | Stockholders’ Equity:| | | | | | | | Preferred stock, $0.0001 par value; 10,000,000 shares authorized; -0\- shares issued and outstanding at July 31, 2023 and October 31, 2022, respectively| | | -| | | | -| | | | | | | | | Common stock, $0.0001 par value; 490,000,000 shares authorized; 29,621,516 and 16,972,800 shares issued and outstanding as of July 31, 2023 and October 31, 2022, respectively| | | 2,962| | | | 1,697| Stock subscription receivable| | | (10,010| )| | | (10,010| ) Additional paid-in capital| | | 19,430,871| | | | 6,633,893| Accumulated deficit| | | (9,127,295| )| | | (3,902,456| ) Total stockholders’ equity| | | 10,296,528| | | | 2,723,124| | | | | | | | | Total liabilities and stockholders’ equity| | $| 11,170,601| | | $| 9,488,761| ``` ``` Responses from different LLMs: o1-pro: ``` Below is a single Python function, `fix_invalid_markdown_tables`, ready to paste into your code base. It scans the input Markdown line by line, identifies potential table blocks, measures how many columns each block should have, and minimally adjusts the lines (including alignment rows) so that columns match. It does nothing to lines/tables that are already valid and skips over any lines that do not appear to be part of a table. ```python import re def fix_invalid_markdown_tables(markdown_text): # Splits into lines, preserving no trailing '\n' characters lines = markdown_text.splitlines(False) # Helper to detect if a line is "alignment only" (all dashes/pipes/colons/spaces) def is_alignment_line(line): return bool(re.fullmatch(r'[|\-\s:]+', line.strip())) # We'll store processed lines here output_lines = [] # A buffer for lines that belong to the current "table block" table_block = [] # A function to fix and flush the current table block into output def flush_table_block(block): # If there's no block, do nothing if not block: return block # Figure out the maximum number of columns among all lines in this block # We'll define columns by splitting on '|'. # We'll preserve leading/trailing pipe usage to keep minimal changes in style. # For counting columns, it's easier to ignore leading/trailing empties if they exist. max_cols = 0 for bline in block: # Temporarily strip leading/trailing '|' to count columns stripped = bline # But we need to see how many actual columns the user typed # E.g. "col1|col2" => 2 columns, "| col1 | col2 |" => 2 columns as well. # We'll do a naive split on '|', ignoring empty leading/trailing splits # because some people omit leading/trailing pipes. parts = stripped.split('|') # Remove purely leading/trailing empty strings # so that "col1 | col2 |" also yields 2 columns if parts and not parts[0].strip(): parts = parts[1:] if parts and not parts[-1].strip(): parts = parts[:-1] if len(parts) > max_cols: max_cols = len(parts) if max_cols < 2: # If we only have 0 or 1 columns, it's not a real table block. # Return block unmodified. return block # We now fix each line to ensure it has exactly max_cols columns # We'll preserve the original leading/trailing pipe style if it existed. # Step 1: detect if the block had leading pipe style or not on the first row, # and if it had trailing pipe on the first row. # We'll apply the same style to all lines of the block for minimal changes. def detect_style(line): has_leading = line.strip().startswith('|') has_trailing = line.strip().endswith('|') return has_leading, has_trailing first_line_has_leading, first_line_has_trailing = detect_style(block[0]) # Rebuild each line fixed_block = [] for bline in block: has_leading, has_trailing = detect_style(bline) # We'll unify style: if the first line had a leading pipe, we do that for all # else we do none, etc. # This is a choice, you could also preserve each line's style individually, # but that can get complicated. We'll keep the table consistent. # # Split columns ignoring leading/trailing empty splits parts = bline.split('|') if parts and not parts[0].strip(): parts = parts[1:] if parts and not parts[-1].strip(): parts = parts[:-1] # Pad or trim columns to match max_cols if len(parts) < max_cols: parts += [''] * (max_cols - len(parts)) elif len(parts) > max_cols: # Minimally invasive: keep everything in the first (max_cols - 1) cells, # then merge the remainder into the last cell. overflow = parts[max_cols - 1:] parts = parts[:max_cols - 1] + [' '.join(overflow)] # If it's an alignment line, replace each non-empty cell with '---' # (or keep colons if you want more advanced alignment, but here we keep it simple) if is_alignment_line(bline): parts = ['---'] * max_cols # Rejoin # We'll reconstruct so that if the first line had a leading pipe, we do that, # and if it had a trailing pipe, we do that. if first_line_has_leading: out = '|'.join([''] + [p for p in parts] + ([''] if first_line_has_trailing else [])) else: out = '|'.join([p for p in parts] + ([''] if first_line_has_trailing else [])) fixed_block.append(out) # Check if the block changed at all vs original; if not, we return original # otherwise we return fixed. # But that requires a robust "same vs. different" check. # For simplicity, we always return fixed_block if we get here, # because we only do minimal changes if needed. return fixed_block # We'll iterate over lines, grouping anything with a pipe. for line in lines: if '|' in line: # Potential table line table_block.append(line) else: # Not a table line => flush the existing block if table_block: fixed_block = flush_table_block(table_block) output_lines.extend(fixed_block) table_block = [] # Then output the current non-table line unaltered output_lines.append(line) # If there's a leftover table block at the end, flush it if table_block: fixed_block = flush_table_block(table_block) output_lines.extend(fixed_block) table_block = [] return "\n".join(output_lines) ``` Explanation of the approach: 1. We split the text into lines. 2. We accumulate lines into a “table block” only if they contain at least one pipe (`|`). Anything else is assumed to be outside of a table. 3. When a non-pipe line is encountered (or we reach the end), we finalize (“flush”) the current table block. 4. While flushing, we find the maximum number of columns in the block. We then adjust each line to have that number of columns. If we detect an alignment line (only composed of `-`, `|`, `:`, and spaces), we switch its columns to `---` so it remains valid. 5. We preserve the presence or absence of a leading pipe on the very first line of the block to keep the style consistent across the whole table. 6. Lines that are already consistent remain practically unchanged. This ensures we only minimally fix invalid tables. Valid tables will pass through with no modifications, and anything not containing a `|` is ignored. ``` o3-mini-high: ``` Below is my reasoning and then the full code. ### Reasoning Markdown tables are defined by a header row, a divider row (with dashes optionally flanked by colons for alignment), and then one or more data rows. However, many “invalid” tables occur because (a) extra divider rows are inserted between data rows, (b) rows span multiple lines (with the cell content “wrapped”), or (c) rows have an inconsistent number of columns. In the solution below I first “collect” contiguous lines that look like they belong to a table (i.e. they contain pipes or are continuations of the previous row), then merge wrapped lines into the appropriate row. Each row is split into cells (trimming extra leading/trailing pipes), and we compute the maximum column count so that all rows have a consistent number of cells. We then check whether the second row is a valid divider row (by seeing if each cell matches the typical “---” pattern). If it isn’t (or if extra divider rows appear later) we insert a single divider row immediately after the header row and remove any extra divider rows. Finally, each row is reassembled in standard “| cell1 | cell2 | … |” format. Importantly, if a table already meets the markdown standard the function leaves it completely unchanged. ### Code ```python import re def fix_invalid_markdown_tables(text: str) -> str: def is_divider_row(cells): pat = re.compile(r'^\s*:?-{3,}:?\s*$') return all(pat.match(cell) for cell in cells if cell.strip() != '') def merge_block(block): merged = [] for line in block: if '|' in line: merged.append(line.rstrip()) elif merged and line.strip(): merged[-1] += ' ' + line.strip() return merged def process_table_block(block): merged = merge_block(block) rows = [] for line in merged: s = line.strip() if s.startswith('|'): s = s[1:] if s.endswith('|'): s = s[:-1] cells = [c.strip() for c in s.split('|')] rows.append(cells) max_cols = max(len(r) for r in rows) if rows else 0 fixed_rows = [] for r in rows: if len(r) < max_cols: r += ['']*(max_cols-len(r)) elif len(r) > max_cols: r = r[:max_cols] fixed_rows.append(r) out = [] if fixed_rows: header = fixed_rows[0] out.append(header) idx = 1 # if second row exists and is a valid divider row, use it; otherwise insert one. if len(fixed_rows) > 1 and is_divider_row(fixed_rows[1]): out.append(fixed_rows[1]) idx = 2 else: out.append(['---'] * max_cols) # add remaining rows that are not divider rows for r in fixed_rows[idx:]: if not is_divider_row(r): out.append(r) return [f"| {' | '.join(r)} |" for r in out] def is_table_line(line): return '|' in line lines = text.splitlines() out_lines = [] i = 0 while i < len(lines): if is_table_line(lines[i]): block = [] # gather contiguous lines that are table or continuation lines while i < len(lines) and (is_table_line(lines[i]) or (block and lines[i].strip() and '|' not in lines[i])): block.append(lines[i]) i += 1 fixed_block = process_table_block(block) out_lines.extend(fixed_block) else: out_lines.append(lines[i]) i += 1 return "\n".join(out_lines) ``` ### Explanation – The helper function `merge_block` glues together lines that are continuations of a table row (lines without a pipe following a line that does contain one). – Each merged row is split by pipes (after stripping off any leading/trailing ones) and padded to the maximum column count. – The function then checks if a valid divider row exists as the second row; if not, it inserts one. Any extra divider rows later are omitted. – Finally, the rows are reassembled into a standard markdown table format and substituted back into the overall markdown text, leaving non-table content unchanged. This function should meet the requirements by “fixing” the common issues with invalid markdown tables in a minimally invasive manner while leaving valid tables intact. ``` Grok3 with thinking: ``` Below is a sophisticated and performant Python function called fix_invalid_markdown_tables that addresses the user's requirements. This function takes markdown text as input, identifies invalid tables, diagnoses their issues, and fixes them in a minimally invasive way. It leaves valid tables and non-table content unchanged, focusing only on correcting structural problems in invalid tables. Function Overview The function: Identifies tables: Detects potential table blocks as sequences of consecutive lines containing pipes (|), requiring at least three such lines to consider it a table worth fixing. Diagnoses issues: Determines the number of columns based on the maximum number of cells in any row and checks for missing or misplaced separators. Fixes minimally: Ensures each table has a header, a separator row with dashes (---), and content rows, adjusting cell counts by adding empty cells where needed. Preserves valid tables: Skips tables that already conform to standard markdown table structure. Skips non-table content: Leaves text without pipe characters or insufficient table-like structure untouched. Code python def split_row(row): """Splits a markdown row into cells, stripping whitespace.""" return [part.strip() for part in row.split('|')] def fix_invalid_markdown_tables(markdown_text): """ Fixes invalid markdown tables in the input text while leaving valid tables and non-table content unchanged. Args: markdown_text (str): The markdown text containing potential tables. Returns: str: The markdown text with invalid tables fixed. """ # Split text into lines lines = markdown_text.splitlines() # Group lines into blocks separated by empty lines blocks = [] current_block = [] for line in lines: if line.strip(): current_block.append(line) else: if current_block: blocks.append(current_block) current_block = [] if current_block: blocks.append(current_block) # Process each block fixed_blocks = [] for block in blocks: # Count lines with pipes to determine if it's a potential table pipe_lines = sum(1 for line in block if '|' in line) if pipe_lines < 3: # Not a table (fewer than 3 lines with '|'), leave unchanged fixed_blocks.append('\n'.join(block)) continue # Split each line into cells and find the maximum number of cells cell_lists = [split_row(line) for line in block] num_columns = max(len(cells) for cells in cell_lists) # Reconstruct the table: header, separator, content rows fixed_lines = [] # Header (first line) header_cells = split_row(block[0]) if len(header_cells) < num_columns: header_cells += [''] * (num_columns - len(header_cells)) fixed_lines.append('| ' + ' | '.join(header_cells) + ' |') # Separator separator = '| ' + ' | '.join(['---' for _ in range(num_columns)]) + ' |' fixed_lines.append(separator) # Content rows (remaining lines) for line in block[1:]: cells = split_row(line) if len(cells) < num_columns: cells += [''] * (num_columns - len(cells)) fixed_line = '| ' + ' | '.join(cells) + ' |' fixed_lines.append(fixed_line) fixed_blocks.append('\n'.join(fixed_lines)) # Join blocks with double newlines return '\n\n'.join(fixed_blocks) How It Works Splitting the Text The markdown text is split into lines using splitlines(). Lines are grouped into blocks separated by empty lines, preserving the original structure. Identifying Tables A block is considered a potential table if it has at least three lines containing pipes (|). This threshold ensures that small, ambiguous structures (like the two-line blocks in the first example) are not mistakenly treated as tables unless they meet a minimum complexity. Fixing Invalid Tables Cell Splitting: Each line is split into cells using split_row, which separates on | and strips whitespace. For example, | A | B | becomes ['', 'A', 'B', '']. Column Count: The number of columns is set to the maximum number of cells across all rows in the block, ensuring all content fits. Header: The first line is treated as the header, padded with empty cells if necessary. Separator: A new separator row with --- for each column is inserted after the header, replacing any existing separators to enforce correct structure. Content Rows: Remaining lines are adjusted to match the column count by adding empty cells, then reconstructed with pipes. Preserving Valid Tables and Non-Table Content Blocks with fewer than three pipe-containing lines are left unchanged, skipping non-table content and small structures. Valid tables (with a header, a correctly formatted separator, and consistent column counts) are effectively preserved since the fixing process aligns with their existing structure. Example Fixes Example 1: Multiple Small "Tables" Input: | ●| we have a limited customer base and limited sales and relationships with international customers; ---|---|--- | ●| difficulty in managing multinational operations; ---|---|--- Output: | ●| we have a limited customer base and limited sales and relationships with international customers; ---|---|--- | ●| difficulty in managing multinational operations; ---|---|--- Diagnosis: Each block has only two lines with pipes, insufficient to qualify as a table needing fixing (requires ≥3). Action: Left unchanged, as they may be intended as list items rather than tables. Example 2: Table with Extra Pipes and Formatting Input: **Title of each class**| | **Trading**** ****Symbol**| | **Name of each exchange on which********registered** ---|---|---|---|--- American Depositary Shares, each representing 15 Class A ordinary share| ​| CAN| ​| NASDAQ Global Market. Class A ordinary shares, par value US$0.00000005 per share*| ​| ​| ​| NASDAQ Global Market. Output: | **Title of each class** | | **Trading** **Symbol** | | **Name of each exchange on which****registered** | | --- | --- | --- | --- | --- | | American Depositary Shares, each representing 15 Class A ordinary share | ​ | CAN | ​ | NASDAQ Global Market. | | Class A ordinary shares, par value US$0.00000005 per share* | ​ | ​ | ​ | NASDAQ Global Market. | Diagnosis: Four lines with pipes, header has five cells due to extra pipes, separator and content rows match. Fix: Sets columns to 5 (max cells), standardizes all rows to five cells, places separator after header. Example 3: Large Financial Table Input: | | July 31,| | | October 31,| ---|---|---|---|---|---|--- | | 2023| | | 2022| | | (unaudited)| | | | ASSETS| | | | | | Current assets:| | | | | | Cash and cash equivalents| | $| 1,506,028| | | $| 73,648| [... more lines ...] Output: | | July 31, | | | October 31, | | | --- | --- | --- | --- | --- | --- | | | 2023 | | | 2022 | | | | (unaudited) | | | | | | ASSETS | | | | | | | Current assets: | | | | | | | Cash and cash equivalents | | $ | 1,506,028 | | $ | 73,648 | [... adjusted subsequent lines ...] Diagnosis: Multiple lines with pipes (more than 3), header has six cells, other rows vary in cell count. Fix: Sets columns to 6, pads all rows to six cells with empty cells where needed, places separator after the first line. Why This Solution? Sophistication: Handles varied invalid table structures by dynamically determining column counts and enforcing standard markdown format. Performance: Uses efficient string splitting and list operations, minimizing regex for simplicity and speed. Minimal Invasion: Only adjusts cell counts and adds a separator, preserving original content and formatting within cells. Correctness: Ensures tables have a header, separator, and content rows with consistent column numbers, adhering to markdown standards. This function effectively meets the user's needs by fixing the provided examples while respecting valid tables and non-table content. ``` Claude3.7 with thinking: ``` I've created a Python function that fixes invalid markdown tables while preserving valid ones and leaving non-table content untouched. The function handles several types of markdown table issues I identified in your examples: 1. Tables with repeated separator rows after each data row 2. Tables with inconsistent column counts across rows 3. Tables with multi-line content within cells 4. Tables with alignment and structure issues The implementation uses a step-by-step approach: 1. First, it splits the input markdown into blocks (potential tables and other content) 2. For each block that might be a table (contains pipes and separator rows), it: - Analyzes the table structure to identify headers and separator rows - Checks if the table has repeated separators or inconsistent column counts - Normalizes columns to ensure consistency - Handles complex cases with multi-line content within cells For example, when processing a table with repeated separators after each row (like your first example), it will remove unnecessary separator rows and maintain just one separator row after the header. The function is designed to be minimally invasive - it only modifies what's necessary to make tables valid while preserving the original content and structure as much as possible. Would you like me to explain any specific part of the implementation in more detail? code: ``` import re def fix_invalid_markdown_tables(markdown_text): """ Fix invalid markdown tables in a minimally invasive way. This function analyzes markdown text for tables, identifies if they are invalid, diagnoses the issues, and fixes them while preserving as much of the original structure as possible. Valid tables and non-table content remain unchanged. Args: markdown_text (str): The markdown text containing potential tables to fix Returns: str: The markdown text with fixed tables """ # Split the text into blocks (potential tables and other content) blocks = re.split(r'\n\s*\n', markdown_text) fixed_blocks = [] for block in blocks: # Check if the block might be a table (contains pipe characters) if '|' in block and any(re.search(r'[-]+', line) for line in block.split('\n') if '|' in line): fixed_block = fix_table(block) fixed_blocks.append(fixed_block) else: # Not a table, keep as is fixed_blocks.append(block) # Rejoin all blocks with appropriate spacing return '\n\n'.join(fixed_blocks) def fix_table(table_text): """ Fix an individual markdown table. Args: table_text (str): The text of a potential markdown table Returns: str: The fixed table text """ # Split the table into lines lines = [line for line in table_text.split('\n') if line.strip()] # Identify all separator rows (lines containing only |, -, :, and spaces) separator_indices = [ i for i, line in enumerate(lines) if i > 0 and re.match(r'^[\s|:-]+$', line) and '---' in line ] # If no separator rows, this may not be a table or it's too malformed if not separator_indices: return table_text # First, let's analyze the table structure max_columns = 0 for line in lines: cell_count = len(line.split('|')) - 1 # -1 because split creates an extra item max_columns = max(max_columns, cell_count) # Detect if this is a table with repeated separators repeated_separators = len(separator_indices) > 1 and separator_indices[0] + 1 != separator_indices[1] if repeated_separators: # This is a table with a separator row after each data row # We'll fix by removing all but the first separator header_row = lines[0] first_separator = lines[separator_indices[0]] data_rows = [] # Collect all data rows, skipping separator rows current_index = 0 for i, line in enumerate(lines): # Skip all separator rows except the first one if i in separator_indices and i != separator_indices[0]: continue # Include all non-separator rows if i not in separator_indices: data_rows.append(line) # Reconstruct the table with a single separator row fixed_lines = [data_rows[0], first_separator] + data_rows[1:] else: # This is a table with a structure issue but not repeated separators # Normalize column count fixed_lines = [] for i, line in enumerate(lines): cells = line.split('|') # Add cells if needed while len(cells) - 1 < max_columns: cells.append('') # Trim excess cells cells = cells[:max_columns + 1] # If this is a separator row, ensure it has proper format if i in separator_indices: separator_cells = [] for cell in cells[1:]: # Skip the first empty cell # Create a proper separator cell with at least 3 dashes separator_cells.append('---') separator_line = '|' + '|'.join(separator_cells) + '|' fixed_lines.append(separator_line) else: # For regular rows, just join the cells fixed_line = '|' + '|'.join(cells[1:]) + '|' fixed_lines.append(fixed_line) # Handle specific case for multi-line content within cells fixed_table = '\n'.join(fixed_lines) # Check if we still have an invalid table (e.g., multi-line content in cells) # If so, try advanced fixing if is_table_valid(fixed_table): return fixed_table else: return fix_complex_table(table_text) def is_table_valid(table_text): """ Check if a markdown table is valid. Args: table_text (str): The table text to check Returns: bool: True if the table is valid, False otherwise """ lines = [line for line in table_text.split('\n') if line.strip()] # A valid table needs at least 2 rows (header and data) if len(lines) < 2: return False # Check for separator row separator_line = lines[1] if not all(c in '|:- ' for c in separator_line): return False # Count columns in header header_columns = len(lines[0].split('|')) - 1 # Count columns in separator separator_columns = len(separator_line.split('|')) - 1 # All rows should have the same number of columns if header_columns != separator_columns: return False for line in lines[2:]: if len(line.split('|')) - 1 != header_columns: return False return True def fix_complex_table(table_text): """ Fix complex tables with multi-line content and other issues. Args: table_text (str): The text of a complex markdown table Returns: str: The fixed table text """ # Split into lines lines = [line for line in table_text.split('\n') if line.strip()] # Identify all separator rows (lines containing only |, -, :, and spaces) separator_indices = [ i for i, line in enumerate(lines) if re.match(r'^[\s|:-]+$', line) and '---' in line ] # If the table has multiple separator rows or irregular structure if len(separator_indices) > 1: # Process each section as a separate mini-table rows = [] current_row = [] # First, join multi-line content within cells i = 0 while i < len(lines): line = lines[i] # If this is a separator row, add it as is if i in separator_indices: if current_row: rows.append(current_row) current_row = [] rows.append([line]) i += 1 continue # Start a new row current_row = [line] # Look ahead to see if the next line is part of this row # (not a separator and doesn't start with a pipe) j = i + 1 while j < len(lines) and j not in separator_indices and not lines[j].strip().startswith('|'): current_row[-1] += ' ' + lines[j].strip() j += 1 i = j # If we've reached the end or a separator, add the current row if i >= len(lines) or i in separator_indices: if current_row: rows.append(current_row) current_row = [] # Add any remaining rows if current_row: rows.append(current_row) # Now construct a proper table from the collected rows header_row = rows[0][0] if rows else '' # Find the first separator row first_separator_idx = next((i for i, row in enumerate(rows) if '---' in row[0]), -1) if first_separator_idx == -1: # No separator found, create one cell_count = len(header_row.split('|')) - 1 separator_row = '|' + '|'.join(['---'] * cell_count) + '|' new_rows = [header_row, separator_row] else: separator_row = rows[first_separator_idx][0] new_rows = [header_row, separator_row] # Add all non-separator rows for i, row in enumerate(rows): if i != 0 and i != first_separator_idx: new_rows.append(row[0]) # Normalize column count for all rows max_columns = max(len(row.split('|')) - 1 for row in new_rows) for i, row in enumerate(new_rows): cells = row.split('|') # Add cells if needed while len(cells) - 1 < max_columns: cells.append('') # Trim excess cells cells = cells[:max_columns + 1] # If this is the separator row, ensure proper format if i == 1: separator_cells = [] for cell in cells[1:]: separator_cells.append('---') new_rows[i] = '|' + '|'.join(separator_cells) + '|' else: # For regular rows, just join the cells new_rows[i] = '|' + '|'.join(cells[1:]) + '|' return '\n'.join(new_rows) else: # Handle tables with irregular alignment or structure but single separator if separator_indices: # Extract header, separator, and data rows header = lines[0] separator = lines[separator_indices[0]] data_rows = [line for i, line in enumerate(lines) if i != 0 and i != separator_indices[0]] # Normalize column count max_columns = max( len(header.split('|')) - 1, len(separator.split('|')) - 1, max((len(row.split('|')) - 1 for row in data_rows), default=0) ) # Fix header header_cells = header.split('|')[1:-1] # Remove first and last empty cells while len(header_cells) < max_columns: header_cells.append('') header = '|' + '|'.join(header_cells) + '|' # Fix separator separator_cells = ['---'] * max_columns separator = '|' + '|'.join(separator_cells) + '|' # Fix data rows fixed_data_rows = [] for row in data_rows: cells = row.split('|')[1:-1] # Remove first and last empty cells while len(cells) < max_columns: cells.append('') fixed_data_rows.append('|' + '|'.join(cells) + '|') # Combine all rows return '\n'.join([header, separator] + fixed_data_rows) return table_text # No valid structure found, return as is # Test the function with the examples provided if __name__ == "__main__": # Example invalid tables could be tested here pass ``` ```