rich_3953

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{"status": "ok", "stdout": "./assets/logo.svg:6:@font-face { font-family: \"Fira Code\"; font-style: normal; font-weight: 500; font-stretch: normal; font-variant: normal; font-feature-settings: normal; src: url(\"data:font/ttf;base64,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

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "", "stderr": "grep: ./.git/objects/pack/pack-8fbdb6443f0d996959f11159379950449260aa9c.pack: binary file matches\ngrep: ./imgs/spinners.gif: binary file matches\n", "exit_code": 1}}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "", "stderr": "", "exit_code": 1}}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 2", "details": {"stdout": "", "stderr": "grep: /tmp/swe_work/eval3_submission/rich_3953/a/workspace: No such file or directory\n", "exit_code": 2}}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "", "stderr": "", "exit_code": 1}}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "", "stderr": "", "exit_code": 1}}

{"status": "ok", "stdout": "./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/_emoji_codes.py:490:    \"blond-haired_woman_medium-light_

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 5", "details": {"stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-8.3.4, pluggy-1.6.0\nrootdir: /workspace/tests\nconfigfile: pytest.ini\ncollected 54 items / 54 deselected / 0 selected\n\n============================ 54 deselected in 0.03s ============================\n", "stderr": "", "exit_code": 5}}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 5", "details": {"stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-8.3.4, pluggy-1.6.0\nrootdir: /workspace/tests\nconfigfile: pytest.ini\ncollected 54 items / 54 deselected / 0 selected\n\n============================ 54 deselected in 0.03s ============================\n", "stderr": "", "exit_code": 5}}

{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-8.3.4, pluggy-1.6.0\nrootdir: /workspace/tests\nconfigfile: pytest.ini\ncollected 54 items\n\ntests/test_cells.py .................................................... [ 96%]\n..                                                                       [100%]\n\n============================== 54 passed in 0.07s ==============================\n", "exit_code": 0}

{"status": "ok", "filepath": "tests/test_cells.py", "content": "from __future__ import annotations\n\nimport string\n\nimport pytest\n\nfrom rich import cells\nfrom rich.cells import (\n    CellSpan,\n    _is_single_cell_widths,\n    cell_len,\n    chop_cells,\n    get_character_cell_size,\n    split_graphemes,\n    split_text,\n)\n\n\n@pytest.mark.parametrize(\n    \"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    assert get_character_cell_size(character) == size\n\n\ndef test_cell_len_long_string():\n    # Long strings don't use cached cell length implementation\n    assert cells.cell_len(\"abc\" * 200) == 3 * 200\n    # Boundary case\n    assert cells.cell_len(\"a\" * 512) == 512\n\n\ndef test_cell_len_short_string():\n    # Short strings use cached cell length implementation\n    assert cells.cell_len(\"abc\" * 100) == 3 * 100\n    # Boundary case\n    assert cells.cell_len(\"a\" * 511) == 511\n\n\ndef test_set_cell_size():\n    assert cells.set_cell_size(\"foo\", 0) == \"\"\n    assert cells.set_cell_size(\"f\", 0) == \"\"\n    assert cells.set_cell_size(\"\", 0) == \"\"\n    assert cells.set_cell_size(\"\ud83d\ude3d\ud83d\ude3d\", 0) == \"\"\n    assert cells.set_cell_size(\"foo\", 2) == \"fo\"\n    assert cells.set_cell_size(\"foo\", 3) == \"foo\"\n    assert cells.set_cell_size(\"foo\", 4) == \"foo \"\n    assert cells.set_cell_size(\"\ud83d\ude3d\ud83d\ude3d\", 4) == \"\ud83d\ude3d\ud83d\ude3d\"\n    assert cells.set_cell_size(\"\ud83d\ude3d\ud83d\ude3d\", 3) == \"\ud83d\ude3d \"\n    assert cells.set_cell_size(\"\ud83d\ude3d\ud83d\ude3d\", 2) == \"\ud83d\ude3d\"\n    assert cells.set_cell_size(\"\ud83d\ude3d\ud83d\ude3d\", 1) == \" \"\n    assert cells.set_cell_size(\"\ud83d\ude3d\ud83d\ude3d\", 5) == \"\ud83d\ude

{"status": "ok", "filepath": "tests/test_cells.py", "content": "    for character in \"\u308f\u3055\u3073\":\n        assert not _is_single_cell_widths(character)\n\n\n@pytest.mark.parametrize(\n    \"text,expected_spans,expected_cell_length\",\n    [\n        (\"\", [], 0),\n        (\"a\", [(0, 1, 1)], 1),\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        (\"\u2b07\ufe0f\", [(0, 2, 2)], 2),  # Variation selector, makes it double width\n        (\"\u267b\", [(0, 1, 1)], 1),\n        (\"\u267b\ufe0f\", [(0, 2, 2)], 2),\n        (\"\u267b\u267b\ufe0f\", [(0, 1, 1), (1, 3, 2)], 3),\n    ],\n)\ndef test_split_graphemes(\n    text: str, expected_spans: list[CellSpan], expected_cell_length: int\n):\n    spans, cell_length = split_graphemes(text)\n    assert cell_len(text) == expected_cell_length\n    assert spans == expected_spans\n    assert cell_length == expected_cell_length\n\n\ndef test_nerd_font():\n    \"\"\"Regression test for https://github.com/Textualize/rich/issues/3943\"\"\"\n    # Not allocated by unicode, but used by nerd fonts\n    assert cell_len(\"\\U000f024d\") == 1\n", "start_line": 151, "end_line": 189, "total_lines": 189, "is_truncated": false}

{"status": "ok", "stdout": "rich/cells.py:155:def split_graphemes(\nrich/cells.py:226:    spans, cell_length = split_graphemes(text, unicode_version)\nrich/cells.py:312:    spans, _ = split_graphemes(text, unicode_version)\n", "exit_code": 0}

{"status": "ok", "filepath": "rich/cells.py", "content": "                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 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            # zero width characters are associated with the previous character\n            start, _end, cell_l

{"status": "ok", "stdout": "([], 0)\n", "exit_code": 0}

{"status": "ok", "stdout": "([(0, 3, 1)], 1)\n", "exit_code": 0}

{"status": "ok", "stdout": "1\n", "exit_code": 0}

{"status": "ok", "filepath": "rich/cells.py", "content": "                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 joiner\n                index += 2\n", "start_line": 150, "end_line": 180, "total_lines": 325, "is_truncated": false}

{"status": "ok", "stdout": "([(0, 3, 1)], 1)\n", "exit_code": 0}