failed NO_PATCH NO_PATCH UNSUBMITTED empty_patch(budget) · 21 tool calls · 303 s · Textualize/rich
Fix ZWJ and edge cases Fixes https://github.com/Textualize/rich/issues/3947 Fixes https://github.com/Textualize/rich/issues/3950
| # | Tool | Arguments | Result |
|---|---|---|---|
| 1 | run_command | {
"command": "# 1: Search for ZWJ (Zero Width Joiner) in the codebase\n( grep -rn 'ZWJ' --include=*.py . || echo '<IMPORTANT> NO MATCH FOUND. DO NOT TRY SAME COMMAND.' ) | head -40\n( grep -rn '\\u200d' --include=*.py . || echo '<IMPORTANT> NO MATCH FOUND. DO NOT TRY SAME COMMAND.' ) | head -40\n"
} | {"status": "ok", "stdout": "<IMPORTANT> NO MATCH FOUND. DO NOT TRY SAME COMMAND.\n./tests/test_cells.py:23: (\"\\u200d\", 0),\n./tests/test_cells.py:75:FM = \"\full{"status": "ok", "stdout": "<IMPORTANT> NO MATCH FOUND. DO NOT TRY SAME COMMAND.\n./tests/test_cells.py:23: (\"\\u200d\", 0),\n./tests/test_cells.py:75:FM = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n./tests/test_cells.py:164: \"\ud83d\udc69\\u200d\ud83d\udd27\",\n./tests/test_cells.py:168: (\"a\ud83d\udc69\\u200d\ud83d\udd27\", [(0, 1, 1), (1, 4, 2)], 3),\n./tests/test_cells.py:169: (\"a\ud83d\udc69\\u200d\ud83d\udd27b\", [(0, 1, 1), (1, 4, 2), (4, 5, 1)], 4),\n./tests/test_text.py:529: female_mechanic = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n./tests/test_text.py:620: female_mechanic = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n./rich/_emoji_codes.py:425: \"bald_man\": \"\ud83d\udc68\\u200d\ud83e\uddb2\",\n./rich/_emoji_codes.py:426: \"bald_woman\": \"\ud83d\udc69\\u200d\ud83e\uddb2\",\n./rich/_emoji_codes.py:474: \"blond-haired_man\": \"\ud83d\udc71\\u200d\u2642\ufe0f\",\n./rich/_emoji_codes.py:475: \"blond-haired_man_dark_skin_tone\": \"\ud83d\udc71\ud83c\udfff\\u200d\u2642\ufe0f\",\n./rich/_emoji_codes.py:476: \"blond-haired_man_light_skin_tone\": \"\ud83d\udc71\ud83c\udffb\\u200d\u2642\ufe0f\",\n./rich/_emoji_codes.py:477: \"blond-haired_man_medium-dark_skin_tone\": \"\ud83d\udc71\ud83c\udffe\\u200d\u2642\ufe0f\",\n./rich/_emoji_codes.py:478: \"blond-haired_man_medium-light_skin_tone\": \"\ud83d\udc71\ud83c\udffc\\u200d\u2642\ufe0f\",\n./rich/_emoji_codes.py:479: \"blond-haired_man_medium_skin_tone\": \"\ud83d\udc71\ud83c\udffd\\u200d\u2642\ufe0f\",\n./rich/_emoji_codes.py:486: \"blond-haired_woman\": \"\ud83d\udc71\\u200d\u2640\ufe0f\",\n./rich/_emoji_codes.py:487: \"blond-haired_woman_dark_skin_tone\": \"\ud83d\udc71\ud83c\udfff\\u200d\u2640\ufe0f\",\n./rich/_emoji_codes.py:488: \"blond-haired_woman_light_skin_tone\": \"\ud83d\udc71\ud83c\udffb\\u200d\u2640\ufe0f\",\n./rich/_emoji_codes.py:489: \"blond-haired_woman_medium-dark_skin_tone\": \"\ud83d\udc71\ud83c\udffe\\u200d\u2640\ufe0f\",\n./rich/_emo |
| 2 | run_command | {
"command": "# 2: Look at tests/test_cells.py and tests/test_text.py to understand how ZWJ is tested\nsed -n '20,30p' tests/test_cells.py\nsed -n '70,80p' tests/test_cells.py\nsed -n '160,170p' tests/test_cells.py\nsed -n '520,535p' tests/test_text.py\nsed -n '615,625p' tests/test_text.py\n"
} | {"status": "ok", "stdout": " \"character,size\",\n [\n (\"\\0\", 0),\n (\"\\u200d\", 0),\n (\"a\", 1),\n (\"\ud83d\udca9\", 2),\n (chr(917999 + 1), 0),\n ],\n)\full{"status": "ok", "stdout": " \"character,size\",\n [\n (\"\\0\", 0),\n (\"\\u200d\", 0),\n (\"a\", 1),\n (\"\ud83d\udca9\", 2),\n (chr(917999 + 1), 0),\n ],\n)\ndef test_get_character_cell_size(character: str, size: int) -> None:\n \"\"\"Test single character cell size.\"\"\"\n )\n == size\n )\n\n\nFM = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n\n\n@pytest.mark.parametrize(\n \"text,offset,left,right\",\n [\n (\"ab\", [(0, 1, 1), (1, 2, 1)], 2),\n (\"\ud83d\udca9\", [(0, 1, 2)], 2),\n (\"\u308f\u3055\u3073\", [(0, 1, 2), (1, 2, 2), (2, 3, 2)], 6),\n (\n \"\ud83d\udc69\\u200d\ud83d\udd27\",\n [(0, 3, 2)],\n 2,\n ), # 3 code points for female mechanic: female, joiner, spanner\n (\"a\ud83d\udc69\\u200d\ud83d\udd27\", [(0, 1, 1), (1, 4, 2)], 3),\n (\"a\ud83d\udc69\\u200d\ud83d\udd27b\", [(0, 1, 1), (1, 4, 2), (4, 5, 1)], 4),\n (\"\u2b07\", [(0, 1, 1)], 1),\n text = Text(\"abracadabra\", justify=\"left\")\n lines = text.wrap(Console(), 4)\n assert len(lines) == 3\n assert lines[0] == Text(\"abra\")\n assert lines[1] == Text(\"cada\")\n assert lines[2] == Text(\"bra \")\n\n\ndef test_wrap_long_multi_codepoint():\n female_mechanic = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n text = Text(female_mechanic * 5, justify=\"left\")\n lines = text.wrap(Console(), 4)\n assert len(lines) == 3\n assert lines[0] == Text(female_mechanic * 2)\n assert lines[1] == Text(female_mechanic * 2)\n assert lines[2] == Text(female_mechanic + \" \")\n ]\n\n\ndef test_wrap_multi_codepoint():\n \"\"\"Test wrapping of multi-codepoint characters.\"\"\"\n female_mechanic = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n text = Text(female_mechanic * 6 + \" \" + female_mechanic * 4)\n lines = text.wrap(Console(), 12)\n print(repr(lines))\n assert lines._lines == [\n Text(female_mechanic |
| 3 | run_command | {
"command": "# 3: Search for where character cell size is calculated.\n( grep -rn 'get_character_cell_size' --include=*.py . || echo '<IMPORTANT> NO MATCH FOUND. DO NOT TRY SAME COMMAND.' )\n"
} | {"status": "ok", "stdout": "./tests/test_cells.py:13: get_character_cell_size,\n./tests/test_cells.py:29:def test_get_character_cell_size(character: str, size: full{"status": "ok", "stdout": "./tests/test_cells.py:13: get_character_cell_size,\n./tests/test_cells.py:29:def test_get_character_cell_size(character: str, size: int) -> None:\n./tests/test_cells.py:31: assert get_character_cell_size(character) == size\n./rich/segment.py:23: get_character_cell_size,\n./rich/segment.py:130: cell_size = get_character_cell_size\n./rich/cells.py:47:def get_character_cell_size(character: str, unicode_version: str = \"auto\") -> int:\n./rich/cells.py:129: get_character_cell_size(character, unicode_version) for character in text\n./rich/cells.py:148: if character_width := get_character_cell_size(character, unicode_version):\n./rich/cells.py:196: if character_width := get_character_cell_size(character, unicode_version):\n", "stderr": "", "exit_code": 0} |
| 4 | run_command | {
"command": "# 4: Examine rich/cells.py\nsed -n '1,150p' rich/cells.py\n"
} | {"status": "ok", "stdout": "from __future__ import annotations\n\nfrom functools import lru_cache\nfrom operator import itemgetter\nfrom typing import Callable,full{"status": "ok", "stdout": "from __future__ import annotations\n\nfrom functools import lru_cache\nfrom operator import itemgetter\nfrom typing import Callable, NamedTuple, Sequence, Tuple\n\nfrom rich._unicode_data import load as load_cell_table\n\nCellSpan = Tuple[int, int, int]\n\n_span_get_cell_len = itemgetter(2)\n\n# Ranges of unicode ordinals that produce a 1-cell wide character\n# This is non-exhaustive, but covers most common Western characters\n_SINGLE_CELL_UNICODE_RANGES: list[tuple[int, int]] = [\n (0x20, 0x7E), # Latin (excluding non-printable)\n (0xA0, 0xAC),\n (0xAE, 0x002FF),\n (0x00370, 0x00482), # Greek / Cyrillic\n (0x02500, 0x025FC), # Box drawing, box elements, geometric shapes\n (0x02800, 0x028FF), # Braille\n]\n\n# A frozen set of characters that are a single cell wide\n_SINGLE_CELLS = frozenset(\n [\n character\n for _start, _end in _SINGLE_CELL_UNICODE_RANGES\n for character in map(chr, range(_start, _end + 1))\n ]\n)\n\n# When called with a string this will return True if all\n# characters are single-cell, otherwise False\n_is_single_cell_widths: Callable[[str], bool] = _SINGLE_CELLS.issuperset\n\n\nclass CellTable(NamedTuple):\n \"\"\"Contains unicode data required to measure the cell widths of glyphs.\"\"\"\n\n unicode_version: str\n widths: Sequence[tuple[int, int, int]]\n narrow_to_wide: frozenset[str]\n\n\n@lru_cache(maxsize=4096)\ndef get_character_cell_size(character: str, unicode_version: str = \"auto\") -> int:\n \"\"\"Get the cell size of a character.\n\n Args:\n character (str): A single character.\n unicode_version: Unicode version, `\"auto\"` to auto detect, `\"latest\"` for the latest unicode version.\n\n Returns:\n int: Number of cells (0, 1 or 2) occupied by that character.\n \"\"\"\n codepoint = ord(character)\n table = load_cell_table(unicode_version).widths\n if codepoint > table[-1][1]:\n return 1\n lower_boun |
| 5 | run_command | {
"command": "# 5: Check the rest of rich/cells.py\nsed -n '120,200p' rich/cells.py\n"
} | {"status": "ok", "stdout": "\n if _is_single_cell_widths(text):\n return len(text)\n\n # \"\\u200d\" is zero width joiner\n # \"\\ufe0f\" is variation selector full{"status": "ok", "stdout": "\n if _is_single_cell_widths(text):\n return len(text)\n\n # \"\\u200d\" is zero width joiner\n # \"\\ufe0f\" is variation selector 16\n if \"\\u200d\" not in text and \"\\ufe0f\" not in text:\n # Simplest case with no unicode stuff that changes the size\n return sum(\n get_character_cell_size(character, unicode_version) for character in text\n )\n\n cell_table = load_cell_table(unicode_version)\n total_width = 0\n last_measured_character: str | None = None\n\n SPECIAL = {\"\\u200d\", \"\\ufe0f\"}\n\n iter_characters = iter(text)\n\n for character in iter_characters:\n if character in SPECIAL:\n if character == \"\\u200d\":\n next(iter_characters)\n elif last_measured_character:\n total_width += last_measured_character in cell_table.narrow_to_wide\n last_measured_character = None\n else:\n if character_width := get_character_cell_size(character, unicode_version):\n last_measured_character = character\n total_width += character_width\n\n return total_width\n\n\ndef split_graphemes(\n text: str, unicode_version: str = \"auto\"\n) -> \"tuple[list[CellSpan], int]\":\n \"\"\"Divide text into spans that define a single grapheme.\n\n Args:\n text: String to split.\n unicode_version: Unicode version, `\"auto\"` to auto detect, `\"latest\"` for the latest unicode version.\n\n Returns:\n List of spans.\n \"\"\"\n\n cell_table = load_cell_table(unicode_version)\n codepoint_count = len(text)\n index = 0\n last_measured_character: str | None = None\n\n total_width = 0\n spans: list[tuple[int, int, int]] = []\n SPECIAL = {\"\\u200d\", \"\\ufe0f\"}\n while index < codepoint_count:\n if (character := text[index]) in SPECIAL:\n if character == \"\\u200d\":\n # zero width jo |
| 6 | run_command | {
"command": "# 6: Check the end of split_graphemes in rich/cells.py\nsed -n '180,200p' rich/cells.py\n"
} | {"status": "ok", "stdout": " index += 2\n if spans:\n start, _end, cell_length = spans[-1]\n spans[-1] = (start, index, cell_length)\n elif last_measured_characfull{"status": "ok", "stdout": " index += 2\n if spans:\n start, _end, cell_length = spans[-1]\n spans[-1] = (start, index, cell_length)\n elif last_measured_character:\n # variation selector 16\n index += 1\n if spans:\n start, _end, cell_length = spans[-1]\n if last_measured_character in cell_table.narrow_to_wide:\n last_measured_character = None\n cell_length += 1\n total_width += 1\n spans[-1] = (start, index, cell_length)\n continue\n\n if character_width := get_character_cell_size(character, unicode_version):\n last_measured_character = character\n spans.append((index, index := index + 1, character_width))\n total_width += character_width\n elif spans:\n", "stderr": "", "exit_code": 0} |
| 7 | run_command | {
"command": "# 7: I need to see the full split_graphemes function\nsed -n '153,200p' rich/cells.py\n"
} | {"status": "ok", "stdout": "\n\ndef split_graphemes(\n text: str, unicode_version: str = \"auto\"\n) -> \"tuple[list[CellSpan], int]\":\n \"\"\"Divide text intofull{"status": "ok", "stdout": "\n\ndef split_graphemes(\n text: str, unicode_version: str = \"auto\"\n) -> \"tuple[list[CellSpan], int]\":\n \"\"\"Divide text into spans that define a single grapheme.\n\n Args:\n text: String to split.\n unicode_version: Unicode version, `\"auto\"` to auto detect, `\"latest\"` for the latest unicode version.\n\n Returns:\n List of spans.\n \"\"\"\n\n cell_table = load_cell_table(unicode_version)\n codepoint_count = len(text)\n index = 0\n last_measured_character: str | None = None\n\n total_width = 0\n spans: list[tuple[int, int, int]] = []\n SPECIAL = {\"\\u200d\", \"\\ufe0f\"}\n while index < codepoint_count:\n if (character := text[index]) in SPECIAL:\n if character == \"\\u200d\":\n # zero width joiner\n index += 2\n if spans:\n start, _end, cell_length = spans[-1]\n spans[-1] = (start, index, cell_length)\n elif last_measured_character:\n # variation selector 16\n index += 1\n if spans:\n start, _end, cell_length = spans[-1]\n if last_measured_character in cell_table.narrow_to_wide:\n last_measured_character = None\n cell_length += 1\n total_width += 1\n spans[-1] = (start, index, cell_length)\n continue\n\n if character_width := get_character_cell_size(character, unicode_version):\n last_measured_character = character\n spans.append((index, index := index + 1, character_width))\n total_width += character_width\n elif spans:\n", "stderr": "", "exit_code": 0} |
| 8 | run_command | {
"command": "# 8: Continue reading split_graphemes\nsed -n '201,220p' rich/cells.py\n"
} | {"status": "ok", "stdout": " # zero width characters are associated with the previous character\n start, _end, cell_length = spans[-1]\n spans[-1] = (start, indfull{"status": "ok", "stdout": " # zero width characters are associated with the previous character\n start, _end, cell_length = spans[-1]\n spans[-1] = (start, index := index + 1, cell_length)\n\n return (spans, total_width)\n\n\ndef _split_text(\n text: str, cell_position: int, unicode_version: str = \"auto\"\n) -> tuple[str, str]:\n \"\"\"Split text by cell position.\n\n If the cell position falls within a double width character, it is converted to two spaces.\n\n Args:\n text: Text to split.\n cell_position Offset in cells.\n unicode_version: Unicode version, `\"auto\"` to auto detect, `\"latest\"` for the latest unicode version.\n\n Returns:\n", "stderr": "", "exit_code": 0} |
| 9 | run_command | {
"command": "# 9: Let's analyze the ZWJ handling in _cell_len and split_graphemes.\n# In _cell_len:\n# if character == \"\\u200d\":\n# next(iter_characters)\n\n# In split_graphemes:\n# if character == \"\\u200d\":\n# # zero width joiner\n# index += 2\n\n# This looks suspicious. It unconditionally consumes the next character after a ZWJ.\n# If the ZWJ is at the end of the string, it might cause an IndexError?\n# No, `next(iter_characters)` on an exhausted iterator raises StopIteration, which ends the loop.\n# `index += 2` in split_graphemes could go past `codepoint_count`, which is fine for slicing but we access `text[index]`.\n\n# Let's test the ZWJ at the end of string.\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import cell_len, split_graphemes\nprint(f\"cell_len('a\\\\u200d'): {cell_len('a\\\\u200d')}\")\nprint(f\"cell_len('\\\\u200d'): {cell_len('\\\\u200d')}\")\nprint(f\"split_graphemes('a\\\\u200d'): {split_graphemes('a\\\\u200d')}\")\nprint(f\"split_graphemes('\\\\u200d'): {split_graphemes('\\\\u200d')}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "cell_len('a\\u200d'): 7\ncell_len('\\u200d'): 6\nsplit_graphemes('a\\u200d'): ([(0, 1, 1), (1, 2, 1), (2, 3, 1), (3, 4, 1), (4, 5, 1full{"status": "ok", "stdout": "cell_len('a\\u200d'): 7\ncell_len('\\u200d'): 6\nsplit_graphemes('a\\u200d'): ([(0, 1, 1), (1, 2, 1), (2, 3, 1), (3, 4, 1), (4, 5, 1), (5, 6, 1), (6, 7, 1)], 7)\nsplit_graphemes('\\u200d'): ([(0, 1, 1), (1, 2, 1), (2, 3, 1), (3, 4, 1), (4, 5, 1), (5, 6, 1)], 6)\n", "stderr": "", "exit_code": 0} |
| 10 | run_command | {
"command": "# 10: Wait, the output above is weird. 'a\\u200d' has length 7?\n# Ah, I used single quotes in the python script but the shell might be interpreting them, or I'm just seeing the repr.\n# Let's use a better test script.\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import cell_len, split_graphemes\nt1 = \"a\\u200d\"\nt2 = \"\\u200d\"\nprint(f\"cell_len({repr(t1)}): {cell_len(t1)}\")\nprint(f\"cell_len({repr(t2)}): {cell_len(t2)}\")\nprint(f\"split_graphemes({repr(t1)}): {split_graphemes(t1)}\")\nprint(f\"split_graphemes({repr(t2)}): {split_graphemes(t2)}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n File \"/tmp/test_zwj.py\", line 4, in <module>\n print(full{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n File \"/tmp/test_zwj.py\", line 4, in <module>\n print(f\"cell_len({repr(t1)}): {cell_len(t1)}\")\n ~~~~~~~~^^^^\n File \"/workspace/rich/cells.py\", line 106, in cell_len\n return cached_cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 92, in cached_cell_len\n return _cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 143, in _cell_len\n next(iter_characters)\n ~~~~^^^^^^^^^^^^^^^^^\nStopIteration\n", "details": {"stdout": "", "stderr": "Traceback (most recent call last):\n File \"/tmp/test_zwj.py\", line 4, in <module>\n print(f\"cell_len({repr(t1)}): {cell_len(t1)}\")\n ~~~~~~~~^^^^\n File \"/workspace/rich/cells.py\", line 106, in cell_len\n return cached_cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 92, in cached_cell_len\n return _cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 143, in _cell_len\n next(iter_characters)\n ~~~~^^^^^^^^^^^^^^^^^\nStopIteration\n", "exit_code": 1}} |
| 11 | run_command | {
"command": "# 11: Found it! _cell_len calls next(iter_characters) without catching StopIteration.\n# And split_graphemes does index += 2 which might not be a problem for the loop condition but is it correct?\n# Let's check split_graphemes with the same test.\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import split_graphemes\nt1 = \"a\\u200d\"\nt2 = \"\\u200d\"\ntry:\n print(f\"split_graphemes({repr(t1)}): {split_graphemes(t1)}\")\nexcept Exception as e:\n print(f\"Error with t1: {e}\")\ntry:\n print(f\"split_graphemes({repr(t2)}): {split_graphemes(t2)}\")\nexcept Exception as e:\n print(f\"Error with t2: {e}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "split_graphemes('a\\u200d'): ([(0, 3, 1)], 1)\nsplit_graphemes('\\u200d'): ([], 0)\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "split_graphemes('a\\u200d'): ([(0, 3, 1)], 1)\nsplit_graphemes('\\u200d'): ([], 0)\n", "stderr": "", "exit_code": 0} |
| 12 | run_command | {
"command": "# 12: Wait, split_graphemes('a\\u200d') gives ([(0, 3, 1)], 1).\n# a is at index 0. \\u200d is at index 1.\n# index was 0, character 'a' is not SPECIAL.\n# character_width = get_character_cell_size('a') = 1.\n# spans.append((0, 1, 1)), total_width = 1, index = 1.\n# loop 2: character = text[1] = '\\u200d'.\n# character in SPECIAL is True.\n# character == '\\u200d' is True.\n# index += 2. index is now 3.\n# if spans: start, _end, cell_length = spans[-1] (0, 1, 1).\n# spans[-1] = (0, 3, 1).\n# Loop ends because index (3) >= codepoint_count (2).\n# Result: ([(0, 3, 1)], 1).\n# This means the span for 'a' was extended to cover the ZWJ and the character AFTER it (which doesn't exist).\n# So split_graphemes('a\\u200d') results in a span that goes beyond the length of the string.\n# This is also a bug.\n\n# Let's verify this.\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import split_graphemes\nt1 = \"a\\u200d\"\nspans, width = split_graphemes(t1)\nprint(f\"t1: {repr(t1)}, spans: {spans}, width: {width}\")\n# Let's see if text[start:end] for the span works.\nfor start, end, width in spans:\n print(f\"Span {start}:{end} is {repr(t1[start:end])}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "t1: 'a\\u200d', spans: [(0, 3, 1)], width: 1\nSpan 0:3 is 'a\\u200d'\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "t1: 'a\\u200d', spans: [(0, 3, 1)], width: 1\nSpan 0:3 is 'a\\u200d'\n", "stderr": "", "exit_code": 0} |
| 13 | run_command | {
"command": "# 13: Okay, so it doesn't crash because of slicing, but the `end` value of the span is wrong.\n# It should be 2, not 3.\n\n# Now let's look at the ZWJ handling in _cell_len again.\n# if character == \"\\u200d\":\n# next(iter_characters)\n\n# This is definitely wrong if the ZWJ is at the end of the string.\n# And it's also wrong because it consumes the next character without actually using it to determine the width?\n# Wait, if it's a ZWJ, it's supposed to join the previous character and the next character into one grapheme.\n# The width of the resulting grapheme is usually the width of the last character in the sequence.\n# But _cell_len is just summing widths.\n# If we have 'A' (1) + ZWJ (0) + 'B' (1), the total width is 2.\n# With the current code:\n# 1. 'A': total_width = 1, last_measured_character = 'A'\n# 2. ZWJ: next(iter_characters) consumes 'B'.\n# 3. Loop ends.\n# Total width = 1.\n# This is wrong! 'A' + ZWJ + 'B' should have width 2.\n\n# Let's verify this.\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import cell_len\nt1 = \"A\\u200dB\"\nprint(f\"cell_len({repr(t1)}): {cell_len(t1)}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "cell_len('A\\u200dB'): 1\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "cell_len('A\\u200dB'): 1\n", "stderr": "", "exit_code": 0} |
| 14 | run_command | {
"command": "# 14: Yes, it's wrong. It should be 2.\n# The ZWJ should not consume the next character. It should just be ignored (width 0).\n\n# Let's see what it should be.\n# In split_graphemes, the ZWJ also does index += 2.\n# If we have 'A' + ZWJ + 'B':\n# 1. 'A': spans = [(0, 1, 1)], total_width = 1, index = 1.\n# 2. ZWJ: index becomes 3. spans[-1] becomes (0, 3, 1).\n# Loop ends.\n# Result: spans = [(0, 3, 1)], width = 1.\n# This is also wrong! 'A' + ZWJ + 'B' should have total width 2 and two graphemes (or one grapheme with width 2 depending on how it's defined, but usually it's one grapheme).\n# Wait, if it's one grapheme, the width should be the sum of widths of the components? No, ZWJ joins them.\n# Actually, ZWJ (U+200D) is used to combine two emojis into one.\n# For example, 👩 (U+1F469) + ZWJ + 🔧 (U+1F527) = 👩🔧 (Female Mechanic).\n# 👩 is width 2, ZWJ is width 0, 🔧 is width 2.\n# The combined emoji 👩🔧 is width 2.\n\n# Let's check the female mechanic in the tests.\n# FM = \"\\ud83d\\udc69\\u200d\\ud83d\\udd27\" (Woman + ZWJ + Spanner)\n# In tests/test_cells.py:\n# (\"\\ud83d\\udc69\\u200d\\ud83d\\udd27\", [(0, 3, 2)], 2)\n# So it's one grapheme with width 2.\n\n# My previous test \"A\\u200dB\" uses characters that are not emojis.\n# 'A' is width 1, 'B' is width 1.\n# 'A' + ZWJ + 'B' should probably be width 2.\n\n# Let's check the female mechanic with current code.\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import cell_len, split_graphemes\nfm = \"\\ud83d\\udc69\\u200d\\ud83d\\udd27\"\nprint(f\"cell_len({repr(fm)}): {cell_len(fm)}\")\nprint(f\"split_graphemes({repr(fm)}): {split_graphemes(fm)}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "cell_len('\\ud83d\\udc69\\u200d\\ud83d\\udd27'): 3\nsplit_graphemes('\\ud83d\\udc69\\u200d\\ud83d\\udd27'): ([(0, 1, 1), (1, 4, 1), full{"status": "ok", "stdout": "cell_len('\\ud83d\\udc69\\u200d\\ud83d\\udd27'): 3\nsplit_graphemes('\\ud83d\\udc69\\u200d\\ud83d\\udd27'): ([(0, 1, 1), (1, 4, 1), (4, 5, 1)], 3)\n", "stderr": "", "exit_code": 0} |
| 15 | run_command | {
"command": "# 15: Wait, this is very strange.\n# FM = \"\\ud83d\\udc69\\u200d\\ud83d\\udd27\"\n# \\ud83d\\udc69 is WOMAN (U+1F469) - width 2\n# \\u200d is ZWJ (U+200D) - width 0\n# \\ud83d\\udd27 is SPANNER (U+1F527) - width 2\n# The result should be cell_len = 2 and split_graphemes = ([(0, 3, 2)], 2).\n# But I got cell_len = 3 and split_graphemes = ([(0, 1, 1), (1, 4, 1), (4, 5, 1)], 3).\n\n# Why?\n# Let's check the strings.\n# \"\\ud83d\\udc69\" is actually TWO code points in Python if it's using UTF-16 internally?\n# No, Python 3 strings are Unicode.\n# len(\"\\ud83d\\udc69\") should be 1.\n# Let's check.\ncat > /tmp/test_zwj.py <<'PY'\nfm = \"\\ud83d\\udc69\\u200d\\ud83d\\udd27\"\nprint(f\"len(fm): {len(fm)}\")\nfor c in fm:\n print(f\"{repr(c)}: {ord(c)}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "len(fm): 5\n'\\ud83d': 55357\n'\\udc69': 56425\n'\\u200d': 8205\n'\\ud83d': 55357\n'\\udd27': 56615\n", "stderr": "", "exit_code": 0full{"status": "ok", "stdout": "len(fm): 5\n'\\ud83d': 55357\n'\\udc69': 56425\n'\\u200d': 8205\n'\\ud83d': 55357\n'\\udd27': 56615\n", "stderr": "", "exit_code": 0} |
| 16 | run_command | {
"command": "# 16: AH! The strings in the test were written using surrogate pairs!\n# \"\\ud83d\\udc69\" is NOT one character, it's two: \\ud83d and \\udc69.\n# This is because the source code might have been written with surrogate pairs.\n# Let's see the actual characters.\n# \\ud83d is 0xD83D\n# \\udc69 is 0xDC69\n# Combined they are U+1F469.\n\n# This means the rich library's ZWJ handling is completely broken because it assumes ZWJ is one code point (which it is, U+200D), but it doesn't handle the fact that the characters being joined might be represented as surrogate pairs in the input string (if they are).\n# However, Python 3 strings should not have surrogate pairs unless they are explicitly put there.\n# Let's check how FM is defined in tests/test_cells.py.\nsed -n '75p' tests/test_cells.py\n"
} | {"status": "ok", "stdout": "FM = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "FM = \"\ud83d\udc69\\u200d\ud83d\udd27\"\n", "stderr": "", "exit_code": 0} |
| 17 | run_command | {
"command": "# 17: Wait, if I write \"\\ud83d\\udc69\" in a Python string, it's two characters.\n# Let's test this.\npython3 -c \"print(len('\\ud83d\\udc69'))\"\n"
} | {"status": "ok", "stdout": "2\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "2\n", "stderr": "", "exit_code": 0} |
| 18 | run_command | {
"command": "# 18: This is very unusual for Python 3.\n# Let's check the python version.\npython3 --version\n"
} | {"status": "ok", "stdout": "Python 3.13.15\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "Python 3.13.15\n", "stderr": "", "exit_code": 0} |
| 19 | run_command | {
"command": "# 19: Wait, I'm confused. In Python 3, '\\U0001F469' is one character.\n# '\\ud83d\\udc69' are two characters (surrogates).\n# The tests are using surrogate pairs! That's probably why the results were so weird.\n\n# Let's try with actual unicode characters.\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import cell_len, split_graphemes\nfm = \"\\U0001F469\\u200D\\U0001F527\" # Woman + ZWJ + Spanner\nprint(f\"fm: {repr(fm)}, len: {len(fm)}\")\nprint(f\"cell_len: {cell_len(fm)}\")\nprint(f\"split_graphemes: {split_graphemes(fm)}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "fm: '\ud83d\udc69\\u200d\ud83d\udd27', len: 3\ncell_len: 2\nsplit_graphemes: ([(0, 3, 2)], 2)\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "fm: '\ud83d\udc69\\u200d\ud83d\udd27', len: 3\ncell_len: 2\nsplit_graphemes: ([(0, 3, 2)], 2)\n", "stderr": "", "exit_code": 0} |
| 20 | run_command | {
"command": "# 20: OK! So for actual unicode characters, the logic seems to work for the female mechanic.\n# BUT it failed for \"A\\u200dB\".\ncat > /tmp/test_zwj.py <<'PY'\nfrom rich.cells import cell_len, split_graphemes\nt1 = \"A\\u200dB\"\nprint(f\"t1: {repr(t1)}, cell_len: {cell_len(t1)}\")\nprint(f\"split_graphemes: {split_graphemes(t1)}\")\nPY\npython3 /tmp/test_zwj.py\n"
} | {"status": "ok", "stdout": "t1: 'A\\u200dB', cell_len: 1\nsplit_graphemes: ([(0, 3, 1)], 1)\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "t1: 'A\\u200dB', cell_len: 1\nsplit_graphemes: ([(0, 3, 1)], 1)\n", "stderr": "", "exit_code": 0} |
| 21 | run_command | {
"command": "# 21: Yes, \"A\\u200dB\" has cell_len 1 instead of 2.\n# And split_graphemes gives one span (0, 3, 1) instead of (0, 1, 1) and (2, 3, 1) (or similar).\n# The problem is that the current implementation of ZWJ handling UNCONDITIONALLY consumes the next character.\n# For emojis, this is often correct because the next character is part of the same grapheme.\n# But for non-emojis, or for a ZWJ at the end of the string, it's wrong.\n\n# In _cell_len:\n# if character == \"\\u200d\":\n# next(iter_characters)\n# This should be removed or modified. A ZWJ should just have 0 width and not consume the next character.\n\n# In split_graphemes:\n# if character == \"\\u200d\":\n# index += 2\n# This should be:\n# index += 1\n# And the span should be extended by 1.\n# BUT if the ZWJ is supposed to join two characters into one grapheme, then the current logic of index += 2 and extending the span is actually trying to do that.\n# If we have 'A' (index 0), ZWJ (index 1), 'B' (index 2).\n# When we are at index 1 (ZWJ):\n# index becomes 1 + 2 = 3.\n# spans[-1] (which was (0, 1, 1)) becomes (0, 3, 1).\n# This means 'A', ZWJ, and 'B' are all one grapheme.\n# But 'A' and 'B' are not emojis, so they shouldn't be joined into one grapheme.\n\n# Actually, ZWJ is defined as joining two characters.\n# But usually, it's only effective for certain characters (like emojis).\n# For others, it might just be ignored.\n\n# However, the bug \"StopIteration\" when ZWJ is at the end is a definite bug.\n# And the \"index += 2\" when ZWJ is at the end of the string is also a bug (it sets end to 3 for a string of length 2).\n\n# Let's look at the issues mentioned in the PR description:\n# Fix ZWJ and edge cases.\n# Issues: https://github.com/Textualize/rich/issues/3947 and 3950.\n# I don't have access to the web, but the behavior I found is definitely buggy.\n\n# Let's fix _cell_len first.\n# The ZWJ should just be skipped (width 0) without consuming the next character.\n# Let's check if that breaks the female mechanic.\n# FM = Woman (2) + ZWJ (0) + Spanner (2)\n# If we just skip ZWJ:\n# Woman: total_width = 2, last_measured = Woman\n# ZWJ: skip\n# Spanner: total_width = 2 + 2 = 4.\n# Wait, if cell_len(FM) was 2, it means the current logic:\n# Woman: total_width = 2, last_measured = Woman\n# ZWJ: next(iter_characters) consumes Spanner.\n# Total width = 2.\n# This means the current logic is what gives cell_len(FM) = 2.\n# If I remove next(iter_characters), cell_len(FM) will be 4.\n# Is cell_len(FM) supposed to be 2 or 4?\n# According to tests/test_cells.py:\n# (\"\\ud83d\\udc69\\u200d\\ud83d\\udd27\", [(0, 3, 2)], 2)\n# It is supposed to be 2.\n\n# So the current logic of consuming the next character is INTENDED to make the ZWJ-joined grapheme have the width of the first character?\n# No, if Woman is 2 and Spanner is 2, and the result is 2, then it's using the width of the first character.\n# But if I have a Small emoji (1) + ZWJ + a Large emoji (2), what should the width be?\n# Usually it's 2.\n\n# Actually, the correct way to handle ZWJ is that it joins two graphemes into one, and the width of the resulting grapheme is generally the width of the last component (or a specific value for that combination).\n# But for most emoji combinations, they are width 2.\n\n# Let's see how split_graphemes handles it.\n# For FM:\n# Woman: spans = [(0, 1, 2)], total_width = 2, index = 1\n# ZWJ: index = 3, spans[-1] = (0, 3, 2)\n# Loop ends.\n# Result: spans = [(0, 3, 2)], width = 2.\n# This matches the test!\n\n# So for FM, the current logic is:\n# 1. Measure first character (Woman, width 2).\n# 2. When ZWJ is encountered, skip the next character (Spanner) and keep the width of the first character (2).\n# This is what's happening.\n\n# Now let's see why \"A\\u200dB\" failed.\n# A: spans = [(0, 1, 1)], total_width = 1, index = 1.\n# ZWJ: index = 3, spans[-1] = (0, 3, 1).\n# Result: spans = [(0, 3, 1)], width = 1.\n# This is wrong because 'A' and 'B' are not emoj | {"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n File \"/tmp/test_zwj.py\", line 3, in <module>\n print(full{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n File \"/tmp/test_zwj.py\", line 3, in <module>\n print(f\"cell_len({repr(t1)}): {cell_len(t1)}\")\n ~~~~~~~~^^^^\n File \"/workspace/rich/cells.py\", line 106, in cell_len\n return cached_cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 92, in cached_cell_len\n return _cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 143, in _cell_len\n next(iter_characters)\n ~~~~^^^^^^^^^^^^^^^^^\nStopIteration\n", "details": {"stdout": "", "stderr": "Traceback (most recent call last):\n File \"/tmp/test_zwj.py\", line 3, in <module>\n print(f\"cell_len({repr(t1)}): {cell_len(t1)}\")\n ~~~~~~~~^^^^\n File \"/workspace/rich/cells.py\", line 106, in cell_len\n return cached_cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 92, in cached_cell_len\n return _cell_len(text, unicode_version)\n File \"/workspace/rich/cells.py\", line 143, in _cell_len\n next(iter_characters)\n ~~~~^^^^^^^^^^^^^^^^^\nStopIteration\n", "exit_code": 1}} |