ROLLOUT 1 · zopefoundation/DateTime
zopefoundation__DateTime-62
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You are a principal Python software engineer resolving a repository issue in `/workspace`. Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run. ## Critical Environment & Grader Rules 1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`. 2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files. 3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`. 4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks: `pytest path/to/test_file.py -k pattern -q --tb=short --no-header` If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off. 5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission. ## Execution Protocol ### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls) - The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories. - Run a single compound `run_command` with `grep -rn --include="*.py"` to locate: (a) the exact symbols, error strings, or functions from the problem description, (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and (c) the closest existing unit test files under `tests/`. ### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls) - Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests. - Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types. ### Phase 3 — Reproduce Bug in One Call (1 tool call) - Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts. ### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls) - Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`. - Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests. - **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`. ### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls) - Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`. - Run `git status --short && git diff` via `run_command`. Confirm: - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately), - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched), - Minimal, clean diff with valid imports and indentation. - Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 4,413 characters
You are evaluating a software engineering task for repository zopefoundation/DateTime.
Problem Statement:
tests fail in 2038
## BUG/PROBLEM REPORT / FEATURE REQUEST
<!--
Please do not report security-related issues here. Report them by email to security@plone.org. The Security Team will contact the relevant maintainer if necessary.
Include tracebacks, screenshots, code of debugging sessions or code that reproduces the issue if possible.
The best reproductions are in plain Zope installations without addons or at least with minimal needed addons installed.
-->
### What I did:
<!-- Enter a reproducible description, including preconditions. -->
```
osc co openSUSE:Factory/python-DateTime && cd $_
osc build --vm-type=kvm --noservice --clean --build-opt=--vm-custom-opt="-rtc base=2039-09-02T06:07:00" --alternative-project=home:bmwiedemann:reproducible openSUSE_Tumbleweed
```
### What I expect to happen:
tests should keep working in the future (at least 16 years)
### What actually happened:
similar to issue #41 in that there is a rounding error in `DateTime-5.2` that can randomly break a test.
```
=================================== FAILURES ===================================
__________________________ DateTimeTests.test_pickle ___________________________
self = <DateTime.tests.test_datetime.DateTimeTests testMethod=test_pickle>
def test_pickle(self):
dt = DateTime()
data = pickle.dumps(dt, 1)
new = pickle.loads(data)
for key in DateTime.__slots__:
> self.assertEqual(getattr(dt, key), getattr(new, key))
E AssertionError: 2198556426235027 != 2198556426235026
src/DateTime/tests/test_datetime.py:253: AssertionError
=============================== warnings summary ===============================
```
### What version of Python and Zope/Addons I am using:
openSUSE-Tumbleweed-20230729 python3.10
<!-- Enter Operating system, Python and Zope versions you are using -->
## Hints:
perrinjerome: ( I used `perrinjerome/fix-year-2038` as branch name, but it's in https://github.com/zopefoundation/DateTime/ repository )
d-maurer: Jérome Perrin wrote at 2024-3-20 22:32 -0700:
> ...
>it's like this in other places in this file, I was tempted to remove this
>
>https://github.com/zopefoundation/DateTime/blob/0a59b4d620fee02389543160e1f77f75c10b9292/src/DateTime/DateTime.py#L36-L38C1
I have seen this only after my suggestion (checking why the tests did not fail).
>and replace int everywhere, we can do that in another PR
+1
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## Execution Environment Rules
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- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.
## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./CHANGES.rst
./CONTRIBUTING.md
./COPYRIGHT.txt
./LICENSE.txt
./MANIFEST.in
./README.rst
./buildout.cfg
./setup.cfg
./setup.py
./src
./src/DateTime
./src/DateTime/DateTime.py
./src/DateTime/DateTime.txt
./src/DateTime/__init__.py
./src/DateTime/interfaces.py
./src/DateTime/pytz.txt
./src/DateTime/pytz_support.py
./src/DateTime/tests
./tox.ini
```
Turn 1at 16 s176 tokens out3,320 prompt tokens
The user is reporting a failure in `test_pickle` in `src/DateTime/tests/test_datetime.py` when the system date is set to 2039. The error is an `AssertionError: 2198556426235027 != 2198556426235026`, which looks like a precision or rounding error. The hint suggests looking at `src/DateTime/DateTime.py` around lines 36-38 and replacing `int` everywhere. Let's start by exploring the codebase and locating the failing test.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"test_pickle\" src/DateTime/tests/"
}Result of run_command 616 characters
{
"status": "ok",
"stdout": "src/DateTime/tests/test_datetime.py:264: def test_pickle(self):\nsrc/DateTime/tests/test_datetime.py:271: def test_pickle_with_tz(self):\nsrc/DateTime/tests/test_datetime.py:278: def test_pickle_asdatetime_with_tz(self):\nsrc/DateTime/tests/test_datetime.py:285: def test_pickle_with_numerical_tz(self):\nsrc/DateTime/tests/test_datetime.py:295: def test_pickle_with_micros(self):\nsrc/DateTime/tests/test_datetime.py:302: def test_pickle_old(self):\nsrc/DateTime/tests/test_datetime.py:322: def test_pickle_old_without_micros(self):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 176 tokens · stopped: STOP
<|channel>thought
The user is reporting a failure in `test_pickle` in `src/DateTime/tests/test_datetime.py` when the system date is set to 2039.
The error is an `AssertionError: 2198556426235027 != 2198556426235026`, which looks like a precision or rounding error.
The hint suggests looking at `src/DateTime/DateTime.py` around lines 36-38 and replacing `int` everywhere.
Let's start by exploring the codebase and locating the failing test.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "test_pickle" src/DateTime/tests/<|"|>}<tool_call|><|tool_response>
Turn 2at 21 s87 tokens out3,741 prompt tokens
Okay, the `test_pickle` is in `src/DateTime/tests/test_datetime.py`. Now let's look at `src/DateTime/DateTime.py` around the mentioned lines (36-38).
TOOL CALL · read_file
{
"end_line": 60,
"filepath": "src/DateTime/DateTime.py",
"start_line": 20
}Result of read_file 1,217 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": "from time import gmtime\nfrom time import localtime\nfrom time import time\nfrom time import timezone\nfrom time import tzname\n\nfrom zope.interface import implementer\n\nfrom .interfaces import DateError\nfrom .interfaces import DateTimeError\nfrom .interfaces import IDateTime\nfrom .interfaces import SyntaxError\nfrom .interfaces import TimeError\nfrom .pytz_support import PytzCache\n\n\nbasestring = str\nlong = int\nexplicit_unicode_type = type(None)\n\ndefault_datefmt = None\n\n\ndef getDefaultDateFormat():\n global default_datefmt\n if default_datefmt is None:\n try:\n from App.config import getConfiguration\n default_datefmt = getConfiguration().datetime_format\n return default_datefmt\n except Exception:\n return 'us'\n else:\n return default_datefmt\n\n\n# To control rounding errors, we round system time to the nearest\n# microsecond. Then delicate calculations can rely on the fact that the\n# maximum precision that needs to be preserved is known.\n_system_time = time\n",
"start_line": 20,
"end_line": 60,
"total_lines": 1946,
"is_truncated": false
}Generated tokens 87 tokens · stopped: STOP
Okay, the `test_pickle` is in `src/DateTime/tests/test_datetime.py`.
Now let's look at `src/DateTime/DateTime.py` around the mentioned lines (36-38).
<channel|><|tool_call>call:read_file{filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:20,end_line:60}<tool_call|><|tool_response>
Turn 3at 70 s607 tokens out4,179 prompt tokens
The hint mentioned lines 36-38.
In the provided `read_file` output:
Line 36: `basestring = str`
Line 37: `long = int`
Line 38: `explicit_unicode_type = type(None)`
Wait, the hint says:
`https://github.com/zopefoundation/DateTime/blob/0a59b4d620fee02389543160e1f77f7e/src/DateTime/DateTime.py#L36-L38C1`
And "replace int everywhere, we can do that in another PR".
Let's look at the `test_pickle` in `src/DateTime/tests/test_datetime.py` first to see how it fails.
The problem description says:
```python
def test_pickle(self):
dt = DateTime()
data = pickle.dumps(dt, 1)
new = pickle.loads(data)
for key in DateTime.__slots__:
> self.assertEqual(getattr(dt, key), getattr(new, key))
E AssertionError: 2198556426235027 != 2198556426235026
```
This looks like a floating point precision issue when dealing with large timestamps (which 2039+ years will have).
Wait, 2198556426235027 in microseconds.
$2198556426235027 / 10^6 / 60 / 60 / 24 / 365.25 \approx 69.6$ years since epoch.
$1970 + 69.6 \approx 2039.6$.
So yes, this is around 2039.
Standard 64-bit floats (doubles) have 53 bits of mantissa.
$2^{53} \approx 9 \times 10^{15}$.
$2198556426235027 \approx 2.2 \times 10^{15}$.
So it should fit in a double, but maybe there's some operation that loses precision.
Let's look at how `DateTime` is initialized and how it handles time.
I'll read more of `src/DateTime/DateTime.py`.
TOOL CALL · read_file
{
"end_line": 300,
"filepath": "src/DateTime/DateTime.py",
"start_line": 100
}Result of read_file 6,255 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": " 'august': 8, 'aug': 8,\n 'september': 9, 'sep': 9, 'sept': 9,\n 'october': 10, 'oct': 10,\n 'november': 11, 'nov': 11,\n 'december': 12, 'dec': 12}\n_DAYS = ('Sunday', 'Monday', 'Tuesday', 'Wednesday',\n 'Thursday', 'Friday', 'Saturday')\n_DAYS_A = ('Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat')\n_DAYS_P = ('Sun.', 'Mon.', 'Tue.', 'Wed.', 'Thu.', 'Fri.', 'Sat.')\n_DAYMAP = {'sunday': 1, 'sun': 1,\n 'monday': 2, 'mon': 2,\n 'tuesday': 3, 'tues': 3, 'tue': 3,\n 'wednesday': 4, 'wed': 4,\n 'thursday': 5, 'thurs': 5, 'thur': 5, 'thu': 5,\n 'friday': 6, 'fri': 6,\n 'saturday': 7, 'sat': 7}\n\nnumericTimeZoneMatch = re.compile(r'[+-][0-9][0-9][0-9][0-9]').match\niso8601Match = re.compile(r'''\n (?P<year>\\d\\d\\d\\d) # four digits year\n (?:-? # one optional dash\n (?: # followed by:\n (?P<year_day>\\d\\d\\d # three digits year day\n (?!\\d)) # when there is no fourth digit\n | # or:\n W # one W\n (?P<week>\\d\\d) # two digits week\n (?:-? # one optional dash\n (?P<week_day>\\d) # one digit week day\n )? # week day is optional\n | # or:\n (?P<month>\\d\\d)? # two digits month\n (?:-? # one optional dash\n (?P<day>\\d\\d)? # two digits day\n )? # after day is optional\n ) #\n )? # after year is optional\n (?:[T ] # one T or one whitespace\n (?P<hour>\\d\\d) # two digits hour\n (?::? # one optional colon\n (?P<minute>\\d\\d)? # two digits minute\n (?::? # one optional colon\n (?P<second>\\d\\d)? # two digits second\n (?:[.,] # one dot or one comma\n (?P<fraction>\\d+) # n digits fraction\n )? # after second is optional\n )? # after minute is optional\n )? # after hour is optional\n (?: # timezone:\n (?P<Z>Z) # one Z\n | # or:\n (?P<signal>[-+]) # one plus or one minus as signal\n (?P<hour_off>\\d # one digit for hour offset...\n (?:\\d(?!\\d$) # ...or two, if not the last two digits\n )?) # second hour offset digit is optional\n (?::? # one optional colon\n (?P<min_off>\\d\\d) # two digits minute offset\n )? # after hour offset is optional\n )? # timezone is optional\n )? # time is optional\n (?P<garbage>.*) # store the extra garbage\n''', re.VERBOSE).match\n\n\ndef _findLocalTimeZoneName(isDST):\n if not daylight:\n # Daylight savings does not occur in this time zone.\n isDST = 0\n try:\n # Get the name of the current time zone depending\n # on DST.\n _localzone = PytzCache._zmap[tzname[isDST].lower()]\n except BaseException:\n try:\n # Generate a GMT-offset zone name.\n if isDST:\n localzone = altzone\n else:\n localzone = timezone\n offset = (-localzone / 3600.0)\n majorOffset = int(offset)\n if majorOffset != 0:\n minorOffset = abs(int((offset % majorOffset) * 60.0))\n else:\n minorOffset = 0\n m = majorOffset >= 0 and '+' or ''\n lz = '%s%0.02d%0.02d' % (m, majorOffset, minorOffset)\n _localzone = PytzCache._zmap[('GMT%s' % lz).lower()]\n except BaseException:\n _localzone = ''\n return _localzone\n\n\n_localzone0 = _findLocalTimeZoneName(0)\n_localzone1 = _findLocalTimeZoneName(1)\n_multipleZones = (_localzone0 != _localzone1)\n\n# Some utility functions for calculating dates:\n\n\ndef _calcSD(t):\n # Returns timezone-independent days since epoch and the fractional\n # part of the days.\n dd = t + EPOCH - 86400.0\n d = dd / 86400.0\n s = d - math.floor(d)\n return s, d\n\n\ndef _calcDependentSecond(tz, t):\n # Calculates the timezone-dependent second (integer part only)\n # from the timezone-independent second.\n fset = _tzoffset(tz, t)\n return fset + long(math.floor(t)) + long(EPOCH) - 86400\n\n\ndef _calcDependentSecond2(yr, mo, dy, hr, mn, sc):\n # Calculates the timezone-dependent second (integer part only)\n # from the date given.\n ss = int(hr) * 3600 + int(mn) * 60 + int(sc)\n x = long(_julianday(yr, mo, dy) - jd1901) * 86400 + ss\n return x\n\n\ndef _calcIndependentSecondEtc(tz, x, ms):\n # Derive the timezone-independent second from the timezone\n # dependent second.\n fsetAtEpoch = _tzoffset(tz, 0.0)\n nearTime = x - fsetAtEpoch - long(EPOCH) + 86400 + ms\n # nearTime is now within an hour of being correct.\n # Recalculate t according to DST.\n fset = long(_tzoffset(tz, nearTime))\n d = (x - fset) / 86400.0 + (ms / 86400.0)\n t = x - fset - long(EPOCH) + 86400 + ms\n micros = (x + 86400 - fset) * 1000000 + \\\n long(round(ms * 1000000.0)) - long(EPOCH * 1000000.0)\n s = d - math.floor(d)\n return (s, d, t, micros)\n\n\ndef _calcHMS(x, ms):\n # hours, minutes, seconds from integer and float.\n hr = x // 3600\n x = x - hr * 3600\n mn = x // 60\n sc = x - mn * 60 + ms\n return (hr, mn, sc)\n\n\ndef _calcYMDHMS(x, ms):",
"start_line": 100,
"end_line": 249,
"total_lines": 1946,
"is_truncated": true
}Generated tokens 607 tokens · stopped: STOP
The hint mentioned lines 36-38.
In the provided `read_file` output:
Line 36: `basestring = str`
Line 37: `long = int`
Line 38: `explicit_unicode_type = type(None)`
Wait, the hint says:
`https://github.com/zopefoundation/DateTime/blob/0a59b4d620fee02389543160e1f77f7e/src/DateTime/DateTime.py#L36-L38C1`
And "replace int everywhere, we can do that in another PR".
Let's look at the `test_pickle` in `src/DateTime/tests/test_datetime.py` first to see how it fails.
The problem description says:
```python
def test_pickle(self):
dt = DateTime()
data = pickle.dumps(dt, 1)
new = pickle.loads(data)
for key in DateTime.__slots__:
> self.assertEqual(getattr(dt, key), getattr(new, key))
E AssertionError: 2198556426235027 != 2198556426235026
```
This looks like a floating point precision issue when dealing with large timestamps (which 2039+ years will have).
Wait, 2198556426235027 in microseconds.
$2198556426235027 / 10^6 / 60 / 60 / 24 / 365.25 \approx 69.6$ years since epoch.
$1970 + 69.6 \approx 2039.6$.
So yes, this is around 2039.
Standard 64-bit floats (doubles) have 53 bits of mantissa.
$2^{53} \approx 9 \times 10^{15}$.
$2198556426235027 \approx 2.2 \times 10^{15}$.
So it should fit in a double, but maybe there's some operation that loses precision.
Let's look at how `DateTime` is initialized and how it handles time.
I'll read more of `src/DateTime/DateTime.py`.
<channel|><|tool_call>call:read_file{end_line:300,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:100}<tool_call|><|tool_response>
Turn 4at 122 s675 tokens out6,787 prompt tokens
Wait, I see `long` being used in several places. `long = int` was defined at the top.
In Python 3, `int` is arbitrary precision, so `long = int` is fine.
But the issue is about precision.
Let's look at `_calcIndependentSecondEtc`:
```python
def _calcIndependentSecondEtc(tz, x, ms):
# Derive the timezone-independent second from the timezone
# dependent second.
fsetAtEpoch = _tzoffset(tz, 0.0)
nearTime = x - fsetAtEpoch - long(EPOCH) + 86400 + ms
# nearTime is now within an hour of being correct.
# Recalculate t according to DST.
fset = long(_tzoffset(tz, nearTime))
d = (x - fset) / 86400.0 + (ms / 86400.0)
t = x - fset - long(EPOCH) + 86400 + ms
micros = (x + 86400 - fset) * 1000000 + \
long(round(ms * 1000000.0)) - long(EPOCH * 1000000.0)
s = d - math.floor(d)
return (s, d, t, micros)
```
The `micros` calculation:
`micros = (x + 86400 - fset) * 1000000 + long(round(ms * 1000000.0)) - long(EPOCH * 1000000.0)`
Wait, `x` and `fset` are likely integers. `ms` is likely a float.
If `x` is large (year 2039), `(x + 86400 - fset) * 1000000` will be a large integer.
`long(round(ms * 1000000.0))` will be an integer.
`long(EPOCH * 1000000.0)` will be an integer.
If any of these were floats, we might have precision issues.
Let's see what `test_pickle` does.
```python
def test_pickle(self):
dt = DateTime()
data = pickle.dumps(dt, 1)
new = pickle.loads(data)
for key in DateTime.__slots__:
> self.assertEqual(getattr(dt, key), getattr(new, key))
```
I need to see `DateTime.__slots__` and `DateTime.__init__`.
TOOL CALL · read_file
{
"end_line": 500,
"filepath": "src/DateTime/DateTime.py",
"start_line": 250
}Result of read_file 5,062 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": " # x is a timezone-dependent integer of seconds.\n # Produces yr,mo,dy,hr,mn,sc.\n yr, mo, dy = _calendarday(x // 86400 + jd1901)\n x = int(x - (x // 86400) * 86400)\n hr = x // 3600\n x = x - hr * 3600\n mn = x // 60\n sc = x - mn * 60 + ms\n return (yr, mo, dy, hr, mn, sc)\n\n\ndef _julianday(yr, mo, dy):\n y, m, d = long(yr), long(mo), long(dy)\n if m > 12:\n y = y + m // 12\n m = m % 12\n elif m < 1:\n m = -m\n y = y - m // 12 - 1\n m = 12 - m % 12\n if y > 0:\n yr_correct = 0\n else:\n yr_correct = 3\n if m < 3:\n y, m = y - 1, m + 12\n if y * 10000 + m * 100 + d > 15821014:\n b = 2 - y // 100 + y // 400\n else:\n b = 0\n return ((1461 * y - yr_correct) // 4 +\n 306001 * (m + 1) // 10000 + d + 1720994 + b)\n\n\ndef _calendarday(j):\n j = long(j)\n if (j < 2299160):\n b = j + 1525\n else:\n a = (4 * j - 7468861) // 146097\n b = j + 1526 + a - a // 4\n c = (20 * b - 2442) // 7305\n d = 1461 * c // 4\n e = 10000 * (b - d) // 306001\n dy = int(b - d - 306001 * e // 10000)\n mo = (e < 14) and int(e - 1) or int(e - 13)\n yr = (mo > 2) and (c - 4716) or (c - 4715)\n return (int(yr), int(mo), int(dy))\n\n\ndef _tzoffset(tz, t):\n \"\"\"Returns the offset in seconds to GMT from a specific timezone (tz) at\n a specific time (t). NB! The _tzoffset result is the same same sign as\n the time zone, i.e. GMT+2 has a 7200 second offset. This is the opposite\n sign of time.timezone which (confusingly) is -7200 for GMT+2.\"\"\"\n try:\n return _TZINFO[tz].info(t)[0]\n except Exception:\n if numericTimeZoneMatch(tz) is not None:\n return int(tz[0:3]) * 3600 + int(tz[0] + tz[3:5]) * 60\n else:\n return 0 # ??\n\n\ndef _correctYear(year):\n # Y2K patch.\n if year >= 0 and year < 100:\n # 00-69 means 2000-2069, 70-99 means 1970-1999.\n if year < 70:\n year = 2000 + year\n else:\n year = 1900 + year\n return year\n\n\ndef safegmtime(t):\n '''gmtime with a safety zone.'''\n try:\n return gmtime(t)\n except (ValueError, OverflowError):\n raise TimeError('The time %f is beyond the range of this Python '\n 'implementation.' % float(t))\n\n\ndef safelocaltime(t):\n '''localtime with a safety zone.'''\n try:\n return localtime(t)\n except (ValueError, OverflowError):\n raise TimeError('The time %f is beyond the range of this Python '\n 'implementation.' % float(t))\n\n\ndef _tzoffset2rfc822zone(seconds):\n \"\"\"Takes an offset, such as from _tzoffset(), and returns an rfc822\n compliant zone specification. Please note that the result of\n _tzoffset() is the negative of what time.localzone and time.altzone is.\n \"\"\"\n return \"%+03d%02d\" % divmod((seconds // 60), 60)\n\n\ndef _tzoffset2iso8601zone(seconds):\n \"\"\"Takes an offset, such as from _tzoffset(), and returns an ISO 8601\n compliant zone specification. Please note that the result of\n _tzoffset() is the negative of what time.localzone and time.altzone is.\n \"\"\"\n return \"%+03d:%02d\" % divmod((seconds // 60), 60)\n\n\ndef Timezones():\n \"\"\"Return the list of recognized timezone names\"\"\"\n return sorted(list(PytzCache._zmap.values()))\n\n\nclass strftimeFormatter:\n\n def __init__(self, dt, format):\n self.dt = dt\n self.format = format\n\n def __call__(self):\n return self.dt.strftime(self.format)\n\n\n@implementer(IDateTime)\nclass DateTime:\n \"\"\"DateTime objects represent instants in time and provide\n interfaces for controlling its representation without\n affecting the absolute value of the object.\n\n DateTime objects may be created from a wide variety of string\n or numeric data, or may be computed from other DateTime objects.\n DateTimes support the ability to convert their representations\n to many major timezones, as well as the ability to create a\n DateTime object in the context of a given timezone.\n\n DateTime objects provide partial numerical behavior:\n\n - Two date-time objects can be subtracted to obtain a time,\n in days between the two.\n\n - A date-time object and a positive or negative number may\n be added to obtain a new date-time object that is the given\n number of days later than the input date-time object.\n\n - A positive or negative number and a date-time object may\n be added to obtain a new date-time object that is the given\n number of days later than the input date-time object.\n\n - A positive or negative number may be subtracted from a",
"start_line": 250,
"end_line": 399,
"total_lines": 1946,
"is_truncated": true
}Generated tokens 675 tokens · stopped: STOP
Wait, I see `long` being used in several places. `long = int` was defined at the top.
In Python 3, `int` is arbitrary precision, so `long = int` is fine.
But the issue is about precision.
Let's look at `_calcIndependentSecondEtc`:
```python
def _calcIndependentSecondEtc(tz, x, ms):
# Derive the timezone-independent second from the timezone
# dependent second.
fsetAtEpoch = _tzoffset(tz, 0.0)
nearTime = x - fsetAtEpoch - long(EPOCH) + 86400 + ms
# nearTime is now within an hour of being correct.
# Recalculate t according to DST.
fset = long(_tzoffset(tz, nearTime))
d = (x - fset) / 86400.0 + (ms / 86400.0)
t = x - fset - long(EPOCH) + 86400 + ms
micros = (x + 86400 - fset) * 1000000 + \
long(round(ms * 1000000.0)) - long(EPOCH * 1000000.0)
s = d - math.floor(d)
return (s, d, t, micros)
```
The `micros` calculation:
`micros = (x + 86400 - fset) * 1000000 + long(round(ms * 1000000.0)) - long(EPOCH * 1000000.0)`
Wait, `x` and `fset` are likely integers. `ms` is likely a float.
If `x` is large (year 2039), `(x + 86400 - fset) * 1000000` will be a large integer.
`long(round(ms * 1000000.0))` will be an integer.
`long(EPOCH * 1000000.0)` will be an integer.
If any of these were floats, we might have precision issues.
Let's see what `test_pickle` does.
```python
def test_pickle(self):
dt = DateTime()
data = pickle.dumps(dt, 1)
new = pickle.loads(data)
for key in DateTime.__slots__:
> self.assertEqual(getattr(dt, key), getattr(new, key))
```
I need to see `DateTime.__slots__` and `DateTime.__init__`.
<channel|><|tool_call>call:read_file{end_line:500,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:250}<tool_call|><|tool_response>
Turn 5at 125 s62 tokens out9,284 prompt tokens
I need to find `DateTime.__slots__` and `__init__`. Let's read further.
TOOL CALL · read_file
{
"end_line": 700,
"filepath": "src/DateTime/DateTime.py",
"start_line": 400
}Result of read_file 6,915 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": " date-time object to obtain a new date-time object that is\n the given number of days earlier than the input date-time\n object.\n\n DateTime objects may be converted to integer, long, or float\n numbers of days since January 1, 1901, using the standard int,\n long, and float functions (Compatibility Note: int, long and\n float return the number of days since 1901 in GMT rather than\n local machine timezone). DateTime objects also provide access\n to their value in a float format usable with the Python time\n module, provided that the value of the object falls in the\n range of the epoch-based time module, and as a datetime.datetime\n object.\n\n A DateTime object should be considered immutable; all conversion\n and numeric operations return a new DateTime object rather than\n modify the current object.\"\"\"\n\n # For security machinery:\n __roles__ = None\n __allow_access_to_unprotected_subobjects__ = 1\n\n # Limit the amount of instance attributes\n __slots__ = (\n '_timezone_naive',\n '_tz',\n '_dayoffset',\n '_year',\n '_month',\n '_day',\n '_hour',\n '_minute',\n '_second',\n '_nearsec',\n '_d',\n '_micros',\n 'time',\n )\n\n def __init__(self, *args, **kw):\n \"\"\"Return a new date-time object\"\"\"\n try:\n return self._parse_args(*args, **kw)\n except (DateError, TimeError, DateTimeError):\n raise\n except Exception:\n raise SyntaxError('Unable to parse {}, {}'.format(args, kw))\n\n def __getstate__(self):\n # We store a float of _micros, instead of the _micros long, as we most\n # often don't have any sub-second resolution and can save those bytes\n return (self._micros / 1000000.0,\n getattr(self, '_timezone_naive', False),\n self._tz)\n\n def __setstate__(self, value):\n if isinstance(value, tuple):\n self._parse_args(value[0], value[2])\n self._micros = long(value[0] * 1000000)\n self._timezone_naive = value[1]\n else:\n for k, v in value.items():\n if k in self.__slots__:\n setattr(self, k, v)\n # BBB: support for very old DateTime pickles\n if '_micros' not in value:\n self._micros = long(value['_t'] * 1000000)\n if '_timezone_naive' not in value:\n self._timezone_naive = False\n\n def _parse_args(self, *args, **kw):\n \"\"\"Return a new date-time object.\n\n A DateTime object always maintains its value as an absolute\n UTC time, and is represented in the context of some timezone\n based on the arguments used to create the object. A DateTime\n object's methods return values based on the timezone context.\n\n Note that in all cases the local machine timezone is used for\n representation if no timezone is specified.\n\n DateTimes may be created with zero to seven arguments.\n\n - If the function is called with no arguments or with None,\n then the current date/time is returned, represented in the\n timezone of the local machine.\n\n - If the function is invoked with a single string argument\n which is a recognized timezone name, an object representing\n the current time is returned, represented in the specified\n timezone.\n\n - If the function is invoked with a single string argument\n representing a valid date/time, an object representing\n that date/time will be returned.\n\n As a general rule, any date-time representation that is\n recognized and unambiguous to a resident of North America\n is acceptable. The reason for this qualification is that\n in North America, a date like: 2/1/1994 is interpreted\n as February 1, 1994, while in some parts of the world,\n it is interpreted as January 2, 1994.\n\n A date/time string consists of two components, a date\n component and an optional time component, separated by one\n or more spaces. If the time component is omitted, 12:00am is\n assumed. Any recognized timezone name specified as the final\n element of the date/time string will be used for computing\n the date/time value. If you create a DateTime with the\n string 'Mar 9, 1997 1:45pm US/Pacific', the value will\n essentially be the same as if you had captured time.time()\n at the specified date and time on a machine in that timezone:\n\n <pre>\n e = DateTime('US/Eastern')\n # returns current date/time, represented in US/Eastern.\n\n x = DateTime('1997/3/9 1:45pm')\n # returns specified time, represented in local machine zone.\n\n y = DateTime('Mar 9, 1997 13:45:00')\n # y is equal to x\n </pre>\n\n The date component consists of year, month, and day\n values. The year value must be a one-, two-, or\n four-digit integer. If a one- or two-digit year is\n used, the year is assumed to be in the twentieth\n century. The month may be an integer, from 1 to 12, a\n month name, or a month abbreviation, where a period may\n optionally follow the abbreviation. The day must be an\n integer from 1 to the number of days in the month. The\n year, month, and day values may be separated by\n periods, hyphens, forward slashes, or spaces. Extra\n spaces are permitted around the delimiters. Year,\n month, and day values may be given in any order as long\n as it is possible to distinguish the components. If all\n three components are numbers that are less than 13,\n then a month-day-year ordering is assumed.\n\n The time component consists of hour, minute, and second\n values separated by colons. The hour value must be an\n integer between 0 and 23 inclusively. The minute value\n must be an integer between 0 and 59 inclusively. The\n second value may be an integer value between 0 and\n 59.999 inclusively. The second value or both the minute\n and second values may be omitted. The time may be\n followed by am or pm in upper or lower case, in which\n case a 12-hour clock is assumed.\n",
"start_line": 400,
"end_line": 549,
"total_lines": 1946,
"is_truncated": true
}Generated tokens 62 tokens · stopped: STOP
I need to find `DateTime.__slots__` and `__init__`.
Let's read further.
<channel|><|tool_call>call:read_file{end_line:700,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:400}<tool_call|><|tool_response>
Turn 6at 156 s493 tokens out11,115 prompt tokens
Found it! `__getstate__` and `__setstate__` are the culprits.
```python
def __getstate__(self):
# We store a float of _micros, instead of the _micros long, as we most
# often don't have any sub-second resolution and can save those bytes
return (self._micros / 1000000.0,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0] * 1000000)
self._timezone_naive = value[1]
```
In `__getstate__`, `self._micros` (a long/int) is divided by `1000000.0`, which converts it to a float.
In `__setstate__`, this float is multiplied by `1000000` and then passed to `long()`.
This is exactly where the precision loss happens for large numbers!
If `self._micros` is `2198556426235027`, then `self._micros / 1000000.0` is `2198556426.235027`.
As a 64-bit float, this might be slightly off.
Let's verify this with a small script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nmicros = 2198556426235027\nfloat_val = micros / 1000000.0\nrecovered = int(round(float_val * 1000000))\nprint(f\"Original: {micros}\")\nprint(f\"Float: {float_val}\")\nprint(f\"Recovered:{recovered}\")\nprint(f\"Diff: {micros - recovered}\")\nPY\n"
}Result of run_command 158 characters
{
"status": "ok",
"stdout": "Original: 2198556426235027\nFloat: 2198556426.235027\nRecovered:2198556426235027\nDiff: 0\n",
"stderr": "",
"exit_code": 0
}Generated tokens 493 tokens · stopped: STOP
Found it! `__getstate__` and `__setstate__` are the culprits.
```python
def __getstate__(self):
# We store a float of _micros, instead of the _micros long, as we most
# often don't have any sub-second resolution and can save those bytes
return (self._micros / 1000000.0,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0] * 1000000)
self._timezone_naive = value[1]
```
In `__getstate__`, `self._micros` (a long/int) is divided by `1000000.0`, which converts it to a float.
In `__setstate__`, this float is multiplied by `1000000` and then passed to `long()`.
This is exactly where the precision loss happens for large numbers!
If `self._micros` is `2198556426235027`, then `self._micros / 1000000.0` is `2198556426.235027`.
As a 64-bit float, this might be slightly off.
Let's verify this with a small script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
micros = 2198556426235027
float_val = micros / 1000000.0
recovered = int(round(float_val * 1000000))
print(f"Original: {micros}")
print(f"Float: {float_val}")
print(f"Recovered:{recovered}")
print(f"Diff: {micros - recovered}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 7at 168 s220 tokens out11,716 prompt tokens
Wait, it recovered correctly. Let's try the values from the error message: `2198556426235027` and `2198556426235026`. Maybe it's not `round()` but just `int()`? The code says `long(value[0] * 1000000)`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nmicros = 2198556426235027\nfloat_val = micros / 1000000.0\nrecovered = int(float_val * 1000000)\nprint(f\"Original: {micros}\")\nprint(f\"Float: {float_val}\")\nprint(f\"Recovered:{recovered}\")\nprint(f\"Diff: {micros - recovered}\")\nPY\n"
}Result of run_command 158 characters
{
"status": "ok",
"stdout": "Original: 2198556426235027\nFloat: 2198556426.235027\nRecovered:2198556426235026\nDiff: 1\n",
"stderr": "",
"exit_code": 0
}Generated tokens 220 tokens · stopped: STOP
Wait, it recovered correctly. Let's try the values from the error message: `2198556426235027` and `2198556426235026`.
Maybe it's not `round()` but just `int()`? The code says `long(value[0] * 1000000)`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
micros = 2198556426235027
float_val = micros / 1000000.0
recovered = int(float_val * 1000000)
print(f"Original: {micros}")
print(f"Float: {float_val}")
print(f"Recovered:{recovered}")
print(f"Diff: {micros - recovered}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 8at 208 s772 tokens out12,044 prompt tokens
Aha! `int(float_val * 1000000)` gave `2198556426235026`.
The code uses `long(value[0] * 1000000)`, which is equivalent to `int(value[0] * 1000000)` in Python 3.
So the fix should be to store `_micros` as an integer in the pickle state instead of a float.
Wait, the comment says:
`# We store a float of _micros, instead of the _micros long, as we most`
`# often don't have any sub-second resolution and can save those bytes`
If we want to avoid precision loss, we should store the integer.
Let's check if we can just use `round()` in `__setstate__`.
But the hint said "replace int everywhere".
Let's see where else `long()` or `int()` is used in a way that might cause issues.
The hint mentioned:
`https://github.com/zopefoundation/DateTime/blob/0a59b4d620fee02389543160e1f77f75c10b9292/src/DateTime/DateTime.py#L36-L38C1`
`long = int`
If we change `__getstate__` to store the integer `_micros` directly, it will be more precise and potentially not much larger in terms of bytes for most cases.
Let's see how common the sub-second resolution is.
Actually, why not just store `_micros` as is?
Current:
```python
def __getstate__(self):
# We store a float of _micros, instead of the _micros long, as we most
# often don't have any sub-second resolution and can save those bytes
return (self._micros / 1000000.0,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0] * 1000000)
self._timezone_naive = value[1]
```
Proposed:
```python
def __getstate__(self):
return (self._micros,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0])
self._timezone_naive = value[1]
```
Wait, if I change `__getstate__` to store `self._micros`, then `value[0]` in `__setstate__` will be the integer microseconds.
But `self._parse_args(value[0], value[2])` expects `value[0]` to be what?
Let's look at `_parse_args`.
TOOL CALL · read_file
{
"end_line": 700,
"filepath": "src/DateTime/DateTime.py",
"start_line": 550
}Result of read_file 6,729 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": " New in Zope 2.4:\n The DateTime constructor automatically detects and handles\n ISO8601 compliant dates (YYYY-MM-DDThh:ss:mmTZD).\n\n New in Zope 2.9.6:\n The existing ISO8601 parser was extended to support almost\n the whole ISO8601 specification. New formats includes:\n\n <pre>\n y = DateTime('1993-045')\n # returns the 45th day from 1993, which is 14th February\n\n w = DateTime('1993-W06-7')\n # returns the 7th day from the 6th week from 1993, which\n # is also 14th February\n </pre>\n\n See http://en.wikipedia.org/wiki/ISO_8601 for full specs.\n\n Note that the Zope DateTime parser assumes timezone naive ISO\n strings to be in UTC rather than local time as specified.\n\n - If the DateTime function is invoked with a single numeric\n argument, the number is assumed to be a floating point value\n such as that returned by time.time().\n\n A DateTime object is returned that represents the GMT value\n of the time.time() float represented in the local machine's\n timezone.\n\n - If the DateTime function is invoked with a single argument\n that is a DateTime instance, a copy of the passed object will\n be created.\n\n - New in 2.11:\n The DateTime function may now be invoked with a single argument\n that is a datetime.datetime instance. DateTimes may be converted\n back to datetime.datetime objects with asdatetime().\n DateTime instances may be converted to a timezone naive\n datetime.datetime in UTC with utcdatetime().\n\n - If the function is invoked with two numeric arguments, then\n the first is taken to be an integer year and the second\n argument is taken to be an offset in days from the beginning\n of the year, in the context of the local machine timezone.\n\n The date-time value returned is the given offset number of\n days from the beginning of the given year, represented in\n the timezone of the local machine. The offset may be positive\n or negative.\n\n Two-digit years are assumed to be in the twentieth\n century.\n\n - If the function is invoked with two arguments, the first\n a float representing a number of seconds past the epoch\n in gmt (such as those returned by time.time()) and the\n second a string naming a recognized timezone, a DateTime\n with a value of that gmt time will be returned, represented\n in the given timezone.\n\n <pre>\n import time\n t = time.time()\n\n now_east = DateTime(t,'US/Eastern')\n # Time t represented as US/Eastern\n\n now_west = DateTime(t,'US/Pacific')\n # Time t represented as US/Pacific\n\n # now_east == now_west\n # only their representations are different\n </pre>\n\n - If the function is invoked with three or more numeric\n arguments, then the first is taken to be an integer\n year, the second is taken to be an integer month, and\n the third is taken to be an integer day. If the\n combination of values is not valid, then a\n DateError is raised. Two-digit years are assumed\n to be in the twentieth century. The fourth, fifth, and\n sixth arguments specify a time in hours, minutes, and\n seconds; hours and minutes should be positive integers\n and seconds is a positive floating point value, all of\n these default to zero if not given. An optional string may\n be given as the final argument to indicate timezone (the\n effect of this is as if you had taken the value of time.time()\n at that time on a machine in the specified timezone).\n\n New in Zope 2.7:\n A new keyword parameter \"datefmt\" can be passed to the\n constructor. If set to \"international\", the constructor\n is forced to treat ambiguous dates as \"days before month\n before year\". This useful if you need to parse non-US\n dates in a reliable way\n\n In any case that a floating point number of seconds is given\n or derived, it's rounded to the nearest millisecond.\n\n If a string argument passed to the DateTime constructor cannot be\n parsed, it will raise DateTime.SyntaxError. Invalid date components\n will raise a DateError, while invalid time or timezone components\n will raise a DateTimeError.\n\n The module function Timezones() will return a list of the (common)\n timezones recognized by the DateTime module. Recognition of\n timezone names is case-insensitive.\n \"\"\"\n\n datefmt = kw.get('datefmt', getDefaultDateFormat())\n d = t = s = None\n ac = len(args)\n microsecs = None\n\n if ac == 10:\n # Internal format called only by DateTime\n yr, mo, dy, hr, mn, sc, tz, t, d, s = args\n elif ac == 11:\n # Internal format that includes milliseconds (from the epoch)\n yr, mo, dy, hr, mn, sc, tz, t, d, s, millisecs = args\n microsecs = millisecs * 1000\n\n elif ac == 12:\n # Internal format that includes microseconds (from the epoch) and a\n # flag indicating whether this was constructed in a timezone naive\n # manner\n yr, mo, dy, hr, mn, sc, tz, t, d, s, microsecs, tznaive = args\n if tznaive is not None: # preserve this information\n self._timezone_naive = tznaive\n\n elif not args or (ac and args[0] is None):\n # Current time, to be displayed in local timezone\n t = time()\n lt = safelocaltime(t)\n tz = self.localZone(lt)\n ms = (t - math.floor(t))\n s, d = _calcSD(t)\n yr, mo, dy, hr, mn, sc = lt[:6]\n sc = sc + ms\n self._timezone_naive = False\n\n elif ac == 1:\n arg = args[0]\n\n if arg == '':\n raise SyntaxError(arg)\n\n if isinstance(arg, DateTime):\n \"\"\"Construct a new DateTime instance from a given",
"start_line": 550,
"end_line": 699,
"total_lines": 1946,
"is_truncated": true
}Generated tokens 772 tokens · stopped: STOP
Aha! `int(float_val * 1000000)` gave `2198556426235026`.
The code uses `long(value[0] * 1000000)`, which is equivalent to `int(value[0] * 1000000)` in Python 3.
So the fix should be to store `_micros` as an integer in the pickle state instead of a float.
Wait, the comment says:
`# We store a float of _micros, instead of the _micros long, as we most`
`# often don't have any sub-second resolution and can save those bytes`
If we want to avoid precision loss, we should store the integer.
Let's check if we can just use `round()` in `__setstate__`.
But the hint said "replace int everywhere".
Let's see where else `long()` or `int()` is used in a way that might cause issues.
The hint mentioned:
`https://github.com/zopefoundation/DateTime/blob/0a59b4d620fee02389543160e1f77f75c10b9292/src/DateTime/DateTime.py#L36-L38C1`
`long = int`
If we change `__getstate__` to store the integer `_micros` directly, it will be more precise and potentially not much larger in terms of bytes for most cases.
Let's see how common the sub-second resolution is.
Actually, why not just store `_micros` as is?
Current:
```python
def __getstate__(self):
# We store a float of _micros, instead of the _micros long, as we most
# often don't have any sub-second resolution and can save those bytes
return (self._micros / 1000000.0,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0] * 1000000)
self._timezone_naive = value[1]
```
Proposed:
```python
def __getstate__(self):
return (self._micros,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0])
self._timezone_naive = value[1]
```
Wait, if I change `__getstate__` to store `self._micros`, then `value[0]` in `__setstate__` will be the integer microseconds.
But `self._parse_args(value[0], value[2])` expects `value[0]` to be what?
Let's look at `_parse_args`.<channel|><|tool_call>call:read_file{end_line:700,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:550}<tool_call|><|tool_response>
Turn 9at 217 s155 tokens out14,515 prompt tokens
Wait, if I just change `__getstate__` and `__setstate__`, I might break `_parse_args` if I pass an integer to its first argument when it expects a float of seconds.
Let's look at how `_parse_args` handles a single numeric argument:
```python
elif ac == 1:
arg = args[0]
# ...
if isinstance(arg, DateTime):
# ...
```
I need to see further down in `_parse_args`.
TOOL CALL · read_file
{
"end_line": 800,
"filepath": "src/DateTime/DateTime.py",
"start_line": 700
}Result of read_file 4,591 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": " DateTime instance.\n \"\"\"\n t = arg.timeTime()\n s, d = _calcSD(t)\n yr, mo, dy, hr, mn, sc, tz = arg.parts()\n\n elif isinstance(arg, datetime):\n yr, mo, dy, hr, mn, sc, numerictz, tznaive = \\\n self._parse_iso8601_preserving_tznaive(arg.isoformat())\n if arg.tzinfo is None:\n self._timezone_naive = True\n tz = None\n else:\n self._timezone_naive = False\n # if we have a pytz tzinfo, use the `zone` attribute\n # as a key\n tz = getattr(arg.tzinfo, 'zone', numerictz)\n ms = sc - math.floor(sc)\n x = _calcDependentSecond2(yr, mo, dy, hr, mn, sc)\n\n if tz:\n try:\n zone = _TZINFO[tz]\n except DateTimeError:\n try:\n zone = _TZINFO[numerictz]\n except DateTimeError:\n raise DateTimeError(\n 'Unknown time zone in date: %s' % arg)\n tz = zone.tzinfo.zone\n else:\n tz = self._calcTimezoneName(x, ms)\n s, d, t, microsecs = _calcIndependentSecondEtc(tz, x, ms)\n\n elif (isinstance(arg, basestring) and\n arg.lower() in _TZINFO._zidx):\n # Current time, to be displayed in specified timezone\n t, tz = time(), _TZINFO._zmap[arg.lower()]\n ms = (t - math.floor(t))\n # Use integer arithmetic as much as possible.\n s, d = _calcSD(t)\n x = _calcDependentSecond(tz, t)\n yr, mo, dy, hr, mn, sc = _calcYMDHMS(x, ms)\n\n elif isinstance(arg, basestring):\n # Date/time string\n iso8601 = iso8601Match(arg.strip())\n fields_iso8601 = iso8601 and iso8601.groupdict() or {}\n if fields_iso8601 and not fields_iso8601.get('garbage'):\n yr, mo, dy, hr, mn, sc, tz, tznaive = \\\n self._parse_iso8601_preserving_tznaive(arg)\n self._timezone_naive = tznaive\n else:\n yr, mo, dy, hr, mn, sc, tz = self._parse(arg, datefmt)\n\n if not self._validDate(yr, mo, dy):\n raise DateError('Invalid date: %s' % arg)\n if not self._validTime(hr, mn, int(sc)):\n raise TimeError('Invalid time: %s' % arg)\n ms = sc - math.floor(sc)\n x = _calcDependentSecond2(yr, mo, dy, hr, mn, sc)\n\n if tz:\n try:\n tz = _TZINFO._zmap[tz.lower()]\n except KeyError:\n if numericTimeZoneMatch(tz) is None:\n raise DateTimeError(\n 'Unknown time zone in date: %s' % arg)\n else:\n tz = self._calcTimezoneName(x, ms)\n s, d, t, microsecs = _calcIndependentSecondEtc(tz, x, ms)\n\n else:\n # Seconds from epoch, gmt\n t = arg\n lt = safelocaltime(t)\n tz = self.localZone(lt)\n ms = (t - math.floor(t))\n s, d = _calcSD(t)\n yr, mo, dy, hr, mn, sc = lt[:6]\n sc = sc + ms\n\n elif ac == 2:\n if isinstance(args[1], basestring):\n # Seconds from epoch (gmt) and timezone\n t, tz = args\n ms = (t - math.floor(t))\n try:\n tz = _TZINFO._zmap[tz.lower()]\n except KeyError:\n if numericTimeZoneMatch(tz) is None:\n raise DateTimeError('Unknown time zone: %s' % tz)\n # Use integer arithmetic as much as possible.\n s, d = _calcSD(t)\n x = _calcDependentSecond(tz, t)\n yr, mo, dy, hr, mn, sc = _calcYMDHMS(x, ms)\n else:\n # Year, julian expressed in local zone\n t = time()\n lt = safelocaltime(t)",
"start_line": 700,
"end_line": 800,
"total_lines": 1946,
"is_truncated": false
}Generated tokens 155 tokens · stopped: STOP
Wait, if I just change `__getstate__` and `__setstate__`, I might break `_parse_args` if I pass an integer to its first argument when it expects a float of seconds.
Let's look at how `_parse_args` handles a single numeric argument:
```python
elif ac == 1:
arg = args[0]
# ...
if isinstance(arg, DateTime):
# ...
```
I need to see further down in `_parse_args`.
<channel|><|tool_call>call:read_file{end_line:800,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:700}<tool_call|><|tool_response>
Turn 10at 394 s1,908 tokens out6,601 prompt tokens
Wait, the part that handles `ac == 1` and `arg` as "Seconds from epoch, gmt" is:
```python
else:
# Seconds from epoch, gmt
t = arg
lt = safelocaltime(t)
tz = self.localZone(lt)
ms = (t - math.floor(t))
s, d = _calcSD(t)
yr, mo, dy, hr, mn, sc = lt[:6]
sc = sc + ms
```
If `arg` is a very large integer (like `2198556426235027` microseconds), `safelocaltime(t)` will probably fail or give a wildly wrong result because it expects seconds, not microseconds.
So `__setstate__` should continue to pass a float of seconds to `_parse_args`, but we should compute that float more carefully or avoid it.
Wait, `__setstate__` does:
```python
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0] * 1000000)
self._timezone_naive = value[1]
```
Here `value[0]` is the float of seconds.
If we change `__getstate__` to store the integer `_micros`, then `value[0]` becomes the integer `_micros`.
If we then pass `value[0] / 1000000.0` to `_parse_args`, we are back to the floating point precision problem.
Wait! `_parse_args` is used to initialize `yr, mo, dy, hr, mn, sc, tz, s, d`.
The precision loss happens when we do `long(value[0] * 1000000)`.
If we store `_micros` as an integer in the state, we can use it directly in `__setstate__` to set `self._micros`.
Then we still need to call `_parse_args` to set up the other attributes.
But for `_parse_args`, we can pass the float representation of the time.
Since `_parse_args` is mostly used to compute the YMDHMS parts (which only have 1-second resolution), the precision loss in the float passed to `_parse_args` shouldn't affect the結果 of `_parse_args` (which calculates `yr, mo, dy, hr, mn, sc` which are all at most second resolution).
Wait, `sc` (seconds) is a float in `_parse_args`.
If we pass `value[0] / 1000000.0` to `_parse_args`, and `value[0]` is the exact microsecond integer, then `value[0] / 1000000.0` is the float.
The `_parse_args` implementation for `ac == 1` does:
```python
t = arg
lt = safelocaltime(t)
tz = self.localZone(lt)
ms = (t - math.floor(t))
s, d = _calcSD(t)
yr, mo, dy, hr, mn, sc = lt[:6]
sc = sc + ms
```
The `sc` here is `sc + ms`, where `sc` is from `lt` (integer) and `ms` is the fractional part of `t`.
If `t` is a float, `ms` has the precision limit of a float.
However, `__setstate__` already does this!
It calls `_parse_args(value[0], value[2])` and then *overwrites* `self._micros` with `long(value[0] * 1000000)`.
The precision loss happens exactly at `long(value[0] * 1000000)`.
So if we store the integer `_micros`, we can just do:
```python
def __getstate__(self):
return (self._micros,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
# Pass a float to _parse_args for YMDHMS and TZ calculation.
# Since these only need second resolution, float precision is fine.
self._parse_args(value[0] / 1000000.0, value[2])
# Use the exact integer for _micros to avoid precision loss.
self._micros = long(value[0])
self._timezone_naive = value[1]
```
Wait, if `value[0]` is already an integer, `value[0] / 1000000.0` is a float.
For a value like `2198556426235027`, `2198556426235027 / 1000000.0` is `2198556426.235027`.
This float is stored as `2198556426.23502685546875` internally (approximately).
When `_parse_args` uses it:
`ms = (t - math.floor(t))` -> `2198556426.23502685546875 - 2198556426.0 = 0.23502685546875`.
Then `sc = sc + ms` -> `sc` becomes something like `26.23502685546875`.
But `_parse_args` only cares about the `yr, mo, dy, hr, mn, sc` it calculated.
The `self._micros` is the only thing that needs to be exact.
And in the original code, `self._micros` was being set *after* `_parse_args` using the same float.
So if we store the integer `_micros` in the pickle, we can restore `self._micros` exactly, and use the float for `_parse_args` because the float's 1-microsecond error doesn't matter for the YMDHMS parts.
Wait, let's verify this.
The only place `self._micros` is used is as the primary representation of the time.
The other attributes (`yr, mo, dy...`) are derived for convenience.
Let's check `_parse_args` again. Does it set `self._micros`?
Looking at the code I read earlier:
```python
elif ac == 1:
arg = args[0]
# ...
else:
# Seconds from epoch, gmt
t = arg
lt = safelocaltime(t)
tz = self.localZone(lt)
ms = (t - math.floor(t))
s, d = _calcSD(t)
yr, mo, dy, hr, mn, sc = lt[:6]
sc = sc + ms
```
It doesn't seem to set `self._micros` here. It sets `yr, mo, dy, hr, mn, sc`.
Wait, the `DateTime` class has `self._micros`. Is it set in `__init__`?
`_parse_args` is called from `__init__`.
Let's look at `__init__` (which is the `DateTime` function).
The `DateTime` function is actually:
```python
def DateTime(args, **kw):
# ...
# In the end it probably does something like:
# res = DateTimeClass(*args, **kw)
# return res
```
Wait, no, `DateTime` is a function that returns an instance of `DateTimeClass`.
Let's find `DateTimeClass.__init__`.
TOOL CALL · run_command
{
"command": "grep -rn \"class DateTime\" src/DateTime/DateTime.py"
}Result of run_command 81 characters
{
"status": "ok",
"stdout": "375:class DateTime:\n",
"stderr": "",
"exit_code": 0
}Generated tokens 1,908 tokens · stopped: STOP
Wait, the part that handles `ac == 1` and `arg` as "Seconds from epoch, gmt" is:
```python
else:
# Seconds from epoch, gmt
t = arg
lt = safelocaltime(t)
tz = self.localZone(lt)
ms = (t - math.floor(t))
s, d = _calcSD(t)
yr, mo, dy, hr, mn, sc = lt[:6]
sc = sc + ms
```
If `arg` is a very large integer (like `2198556426235027` microseconds), `safelocaltime(t)` will probably fail or give a wildly wrong result because it expects seconds, not microseconds.
So `__setstate__` should continue to pass a float of seconds to `_parse_args`, but we should compute that float more carefully or avoid it.
Wait, `__setstate__` does:
```python
def __setstate__(self, value):
if isinstance(value, tuple):
self._parse_args(value[0], value[2])
self._micros = long(value[0] * 1000000)
self._timezone_naive = value[1]
```
Here `value[0]` is the float of seconds.
If we change `__getstate__` to store the integer `_micros`, then `value[0]` becomes the integer `_micros`.
If we then pass `value[0] / 1000000.0` to `_parse_args`, we are back to the floating point precision problem.
Wait! `_parse_args` is used to initialize `yr, mo, dy, hr, mn, sc, tz, s, d`.
The precision loss happens when we do `long(value[0] * 1000000)`.
If we store `_micros` as an integer in the state, we can use it directly in `__setstate__` to set `self._micros`.
Then we still need to call `_parse_args` to set up the other attributes.
But for `_parse_args`, we can pass the float representation of the time.
Since `_parse_args` is mostly used to compute the YMDHMS parts (which only have 1-second resolution), the precision loss in the float passed to `_parse_args` shouldn't affect the結果 of `_parse_args` (which calculates `yr, mo, dy, hr, mn, sc` which are all at most second resolution).
Wait, `sc` (seconds) is a float in `_parse_args`.
If we pass `value[0] / 1000000.0` to `_parse_args`, and `value[0]` is the exact microsecond integer, then `value[0] / 1000000.0` is the float.
The `_parse_args` implementation for `ac == 1` does:
```python
t = arg
lt = safelocaltime(t)
tz = self.localZone(lt)
ms = (t - math.floor(t))
s, d = _calcSD(t)
yr, mo, dy, hr, mn, sc = lt[:6]
sc = sc + ms
```
The `sc` here is `sc + ms`, where `sc` is from `lt` (integer) and `ms` is the fractional part of `t`.
If `t` is a float, `ms` has the precision limit of a float.
However, `__setstate__` already does this!
It calls `_parse_args(value[0], value[2])` and then *overwrites* `self._micros` with `long(value[0] * 1000000)`.
The precision loss happens exactly at `long(value[0] * 1000000)`.
So if we store the integer `_micros`, we can just do:
```python
def __getstate__(self):
return (self._micros,
getattr(self, '_timezone_naive', False),
self._tz)
def __setstate__(self, value):
if isinstance(value, tuple):
# Pass a float to _parse_args for YMDHMS and TZ calculation.
# Since these only need second resolution, float precision is fine.
self._parse_args(value[0] / 1000000.0, value[2])
# Use the exact integer for _micros to avoid precision loss.
self._micros = long(value[0])
self._timezone_naive = value[1]
```
Wait, if `value[0]` is already an integer, `value[0] / 1000000.0` is a float.
For a value like `2198556426235027`, `2198556426235027 / 1000000.0` is `2198556426.235027`.
This float is stored as `2198556426.23502685546875` internally (approximately).
When `_parse_args` uses it:
`ms = (t - math.floor(t))` -> `2198556426.23502685546875 - 2198556426.0 = 0.23502685546875`.
Then `sc = sc + ms` -> `sc` becomes something like `26.23502685546875`.
But `_parse_args` only cares about the `yr, mo, dy, hr, mn, sc` it calculated.
The `self._micros` is the only thing that needs to be exact.
And in the original code, `self._micros` was being set *after* `_parse_args` using the same float.
So if we store the integer `_micros` in the pickle, we can restore `self._micros` exactly, and use the float for `_parse_args` because the float's 1-microsecond error doesn't matter for the YMDHMS parts.
Wait, let's verify this.
The only place `self._micros` is used is as the primary representation of the time.
The other attributes (`yr, mo, dy...`) are derived for convenience.
Let's check `_parse_args` again. Does it set `self._micros`?
Looking at the code I read earlier:
```python
elif ac == 1:
arg = args[0]
# ...
else:
# Seconds from epoch, gmt
t = arg
lt = safelocaltime(t)
tz = self.localZone(lt)
ms = (t - math.floor(t))
s, d = _calcSD(t)
yr, mo, dy, hr, mn, sc = lt[:6]
sc = sc + ms
```
It doesn't seem to set `self._micros` here. It sets `yr, mo, dy, hr, mn, sc`.
Wait, the `DateTime` class has `self._micros`. Is it set in `__init__`?
`_parse_args` is called from `__init__`.
Let's look at `__init__` (which is the `DateTime` function).
The `DateTime` function is actually:
```python
def DateTime(args, **kw):
# ...
# In the end it probably does something like:
# res = DateTimeClass(*args, **kw)
# return res
```
Wait, no, `DateTime` is a function that returns an instance of `DateTimeClass`.
Let's find `DateTimeClass.__init__`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "class DateTime" src/DateTime/DateTime.py<|"|>}<tool_call|><|tool_response>
Turn 11at 396 s50 tokens out8,555 prompt tokens
Let's look at `DateTime.__init__`.
TOOL CALL · read_file
{
"end_line": 450,
"filepath": "src/DateTime/DateTime.py",
"start_line": 375
}Result of read_file 3,252 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": "class DateTime:\n \"\"\"DateTime objects represent instants in time and provide\n interfaces for controlling its representation without\n affecting the absolute value of the object.\n\n DateTime objects may be created from a wide variety of string\n or numeric data, or may be computed from other DateTime objects.\n DateTimes support the ability to convert their representations\n to many major timezones, as well as the ability to create a\n DateTime object in the context of a given timezone.\n\n DateTime objects provide partial numerical behavior:\n\n - Two date-time objects can be subtracted to obtain a time,\n in days between the two.\n\n - A date-time object and a positive or negative number may\n be added to obtain a new date-time object that is the given\n number of days later than the input date-time object.\n\n - A positive or negative number and a date-time object may\n be added to obtain a new date-time object that is the given\n number of days later than the input date-time object.\n\n - A positive or negative number may be subtracted from a\n date-time object to obtain a new date-time object that is\n the given number of days earlier than the input date-time\n object.\n\n DateTime objects may be converted to integer, long, or float\n numbers of days since January 1, 1901, using the standard int,\n long, and float functions (Compatibility Note: int, long and\n float return the number of days since 1901 in GMT rather than\n local machine timezone). DateTime objects also provide access\n to their value in a float format usable with the Python time\n module, provided that the value of the object falls in the\n range of the epoch-based time module, and as a datetime.datetime\n object.\n\n A DateTime object should be considered immutable; all conversion\n and numeric operations return a new DateTime object rather than\n modify the current object.\"\"\"\n\n # For security machinery:\n __roles__ = None\n __allow_access_to_unprotected_subobjects__ = 1\n\n # Limit the amount of instance attributes\n __slots__ = (\n '_timezone_naive',\n '_tz',\n '_dayoffset',\n '_year',\n '_month',\n '_day',\n '_hour',\n '_minute',\n '_second',\n '_nearsec',\n '_d',\n '_micros',\n 'time',\n )\n\n def __init__(self, *args, **kw):\n \"\"\"Return a new date-time object\"\"\"\n try:\n return self._parse_args(*args, **kw)\n except (DateError, TimeError, DateTimeError):\n raise\n except Exception:\n raise SyntaxError('Unable to parse {}, {}'.format(args, kw))\n\n def __getstate__(self):\n # We store a float of _micros, instead of the _micros long, as we most\n # often don't have any sub-second resolution and can save those bytes",
"start_line": 375,
"end_line": 450,
"total_lines": 1946,
"is_truncated": false
}Generated tokens 50 tokens · stopped: STOP
Let's look at `DateTime.__init__`.
<channel|><|tool_call>call:read_file{end_line:450,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:375}<tool_call|><|tool_response>
Turn 12at 409 s183 tokens out9,420 prompt tokens
Wait, `__init__` calls `self._parse_args(*args, **kw)` and returns it!
```python
def __init__(self, *args, **kw):
\"\"\"Return a new date-time object\"\"\"
try:
return self._parse_args(*args, **kw)
```
This is very strange. `__init__` should not return anything. In Python, `__init__` MUST return `None`.
Wait, if `_parse_args` returns `self`, then it's fine.
Let's look at `_parse_args` return value.
TOOL CALL · run_command
{
"command": "grep -n \"return self\" src/DateTime/DateTime.py | grep -A 10 \"def _parse_args\""
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 183 tokens · stopped: STOP
Wait, `__init__` calls `self._parse_args(*args, **kw)` and returns it!
```python
def __init__(self, *args, **kw):
\"\"\"Return a new date-time object\"\"\"
try:
return self._parse_args(*args, **kw)
```
This is very strange. `__init__` should not return anything. In Python, `__init__` MUST return `None`.
Wait, if `_parse_args` returns `self`, then it's fine.
Let's look at `_parse_args` return value.<channel|><|tool_call>call:run_command{command:<|"|>grep -n "return self" src/DateTime/DateTime.py | grep -A 10 "def _parse_args"<|"|>}<tool_call|><|tool_response>
Turn 13at 411 s45 tokens out9,659 prompt tokens
Let me just search for `def _parse_args`.
TOOL CALL · run_command
{
"command": "grep -n \"def _parse_args\" src/DateTime/DateTime.py"
}Result of run_command 105 characters
{
"status": "ok",
"stdout": "470: def _parse_args(self, *args, **kw):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 45 tokens · stopped: STOP
Let me just search for `def _parse_args`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "def _parse_args" src/DateTime/DateTime.py<|"|>}<tool_call|><|tool_response>
Turn 14at 413 s55 tokens out9,762 prompt tokens
Okay, let's read `_parse_args` from the beginning.
TOOL CALL · read_file
{
"end_line": 600,
"filepath": "src/DateTime/DateTime.py",
"start_line": 470
}Result of read_file 6,595 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": " def _parse_args(self, *args, **kw):\n \"\"\"Return a new date-time object.\n\n A DateTime object always maintains its value as an absolute\n UTC time, and is represented in the context of some timezone\n based on the arguments used to create the object. A DateTime\n object's methods return values based on the timezone context.\n\n Note that in all cases the local machine timezone is used for\n representation if no timezone is specified.\n\n DateTimes may be created with zero to seven arguments.\n\n - If the function is called with no arguments or with None,\n then the current date/time is returned, represented in the\n timezone of the local machine.\n\n - If the function is invoked with a single string argument\n which is a recognized timezone name, an object representing\n the current time is returned, represented in the specified\n timezone.\n\n - If the function is invoked with a single string argument\n representing a valid date/time, an object representing\n that date/time will be returned.\n\n As a general rule, any date-time representation that is\n recognized and unambiguous to a resident of North America\n is acceptable. The reason for this qualification is that\n in North America, a date like: 2/1/1994 is interpreted\n as February 1, 1994, while in some parts of the world,\n it is interpreted as January 2, 1994.\n\n A date/time string consists of two components, a date\n component and an optional time component, separated by one\n or more spaces. If the time component is omitted, 12:00am is\n assumed. Any recognized timezone name specified as the final\n element of the date/time string will be used for computing\n the date/time value. If you create a DateTime with the\n string 'Mar 9, 1997 1:45pm US/Pacific', the value will\n essentially be the same as if you had captured time.time()\n at the specified date and time on a machine in that timezone:\n\n <pre>\n e = DateTime('US/Eastern')\n # returns current date/time, represented in US/Eastern.\n\n x = DateTime('1997/3/9 1:45pm')\n # returns specified time, represented in local machine zone.\n\n y = DateTime('Mar 9, 1997 13:45:00')\n # y is equal to x\n </pre>\n\n The date component consists of year, month, and day\n values. The year value must be a one-, two-, or\n four-digit integer. If a one- or two-digit year is\n used, the year is assumed to be in the twentieth\n century. The month may be an integer, from 1 to 12, a\n month name, or a month abbreviation, where a period may\n optionally follow the abbreviation. The day must be an\n integer from 1 to the number of days in the month. The\n year, month, and day values may be separated by\n periods, hyphens, forward slashes, or spaces. Extra\n spaces are permitted around the delimiters. Year,\n month, and day values may be given in any order as long\n as it is possible to distinguish the components. If all\n three components are numbers that are less than 13,\n then a month-day-year ordering is assumed.\n\n The time component consists of hour, minute, and second\n values separated by colons. The hour value must be an\n integer between 0 and 23 inclusively. The minute value\n must be an integer between 0 and 59 inclusively. The\n second value may be an integer value between 0 and\n 59.999 inclusively. The second value or both the minute\n and second values may be omitted. The time may be\n followed by am or pm in upper or lower case, in which\n case a 12-hour clock is assumed.\n\n New in Zope 2.4:\n The DateTime constructor automatically detects and handles\n ISO8601 compliant dates (YYYY-MM-DDThh:ss:mmTZD).\n\n New in Zope 2.9.6:\n The existing ISO8601 parser was extended to support almost\n the whole ISO8601 specification. New formats includes:\n\n <pre>\n y = DateTime('1993-045')\n # returns the 45th day from 1993, which is 14th February\n\n w = DateTime('1993-W06-7')\n # returns the 7th day from the 6th week from 1993, which\n # is also 14th February\n </pre>\n\n See http://en.wikipedia.org/wiki/ISO_8601 for full specs.\n\n Note that the Zope DateTime parser assumes timezone naive ISO\n strings to be in UTC rather than local time as specified.\n\n - If the DateTime function is invoked with a single numeric\n argument, the number is assumed to be a floating point value\n such as that returned by time.time().\n\n A DateTime object is returned that represents the GMT value\n of the time.time() float represented in the local machine's\n timezone.\n\n - If the DateTime function is invoked with a single argument\n that is a DateTime instance, a copy of the passed object will\n be created.\n\n - New in 2.11:\n The DateTime function may now be invoked with a single argument\n that is a datetime.datetime instance. DateTimes may be converted\n back to datetime.datetime objects with asdatetime().\n DateTime instances may be converted to a timezone naive\n datetime.datetime in UTC with utcdatetime().\n\n - If the function is invoked with two numeric arguments, then\n the first is taken to be an integer year and the second\n argument is taken to be an offset in days from the beginning\n of the year, in the context of the local machine timezone.\n\n The date-time value returned is the given offset number of\n days from the beginning of the given year, represented in\n the timezone of the local machine. The offset may be positive\n or negative.\n",
"start_line": 470,
"end_line": 600,
"total_lines": 1946,
"is_truncated": false
}Generated tokens 55 tokens · stopped: STOP
Okay, let's read `_parse_args` from the beginning.
<channel|><|tool_call>call:read_file{end_line:600,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:470}<tool_call|><|tool_response>
Turn 15at 416 s42 tokens out11,453 prompt tokens
I need to see the end of `_parse_args`.
TOOL CALL · run_command
{
"command": "grep -n \"return self\" src/DateTime/DateTime.py"
}Result of run_command 2,432 characters
{
"status": "ok",
"stdout": "371: return self.dt.strftime(self.format)\n442: return self._parse_args(*args, **kw)\n1131: return self._micros / 1000000.0\n1145: return self.__class__(yr, mo, dy, hr, mn, sc, tz, t,\n1152: return self\n1159: return self.__class__(yr, mo, dy, hr, mn, sc, tz, t,\n1227: return self.__class__(\n1235: return self.__class__(\n1252: return self._micros > long(t * 1000000)\n1254: return self._micros > t._micros\n1256: return self._micros > t\n1275: return self._micros >= long(t * 1000000)\n1277: return self._micros >= t._micros\n1279: return self._micros >= t\n1297: return self._micros == long(t * 1000000)\n1299: return self._micros == t._micros\n1301: return self._micros == t\n1344: return self._micros < long(t * 1000000)\n1346: return self._micros < t._micros\n1348: return self._micros < t\n1366: return self._micros <= long(t * 1000000)\n1368: return self._micros <= t._micros\n1370: return self._micros <= t\n1398: return self._tz\n1406: return self._year\n1410: return self._month\n1418: return self._fmon\n1426: return self._amon\n1430: return self._amon\n1438: return self._pmon\n1442: return self._pmon\n1446: return self._day\n1454: return self._fday\n1458: return self._fday\n1466: return self._aday\n1474: return self._pday\n1478: return self._pday\n1482: return self._dayoffset\n1486: return self._dayoffset + 1\n1497: return self._pmhour\n1501: return self._hour\n1512: return self._pm\n1516: return self._hour\n1520: return self._minute\n1524: return self._second\n1528: return self._micros // 1000\n1532: return self._micros\n1542: return self._timezone_naive\n1756: return self.__class__(yr, mo, dy, hr, mn, sc, self._tz,\n1769: return self.__add__(-(other))\n1797: return self.strftime(fmt)\n1816: return self.micros() / 1000000.0\n1820: return self._micros / 1000000.0\n1825: return self._parse_iso8601_preserving_tznaive(s)[:7]\n1829: return self.__parse_iso8601(s)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 42 tokens · stopped: STOP
I need to see the end of `_parse_args`.<channel|><|tool_call>call:run_command{command:<|"|>grep -n "return self" src/DateTime/DateTime.py<|"|>}<tool_call|><|tool_response>
Turn 16at 424 s108 tokens out12,456 prompt tokens
Still didn't find where `_parse_args` returns. Let's just read the end of `_parse_args`. I saw it starts at 470 and the provided snippet went up to 800. Let's see from 800 to 1100.
TOOL CALL · read_file
{
"end_line": 1100,
"filepath": "src/DateTime/DateTime.py",
"start_line": 800
}Result of read_file 6,332 characters
{
"status": "ok",
"filepath": "src/DateTime/DateTime.py",
"content": " lt = safelocaltime(t)\n tz = self.localZone(lt)\n yr, jul = args\n yr = _correctYear(yr)\n d = (_julianday(yr, 1, 0) - jd1901) + jul\n x_float = d * 86400.0\n x_floor = math.floor(x_float)\n ms = x_float - x_floor\n x = long(x_floor)\n yr, mo, dy, hr, mn, sc = _calcYMDHMS(x, ms)\n s, d, t, microsecs = _calcIndependentSecondEtc(tz, x, ms)\n else:\n # Explicit format\n yr, mo, dy = args[:3]\n hr, mn, sc, tz = 0, 0, 0, 0\n yr = _correctYear(yr)\n if not self._validDate(yr, mo, dy):\n raise DateError('Invalid date: {}'.format(args))\n args = args[3:]\n if args:\n hr, args = args[0], args[1:]\n if args:\n mn, args = args[0], args[1:]\n if args:\n sc, args = args[0], args[1:]\n if args:\n tz, args = args[0], args[1:]\n if args:\n raise DateTimeError('Too many arguments')\n if not self._validTime(hr, mn, sc):\n raise TimeError('Invalid time: %s' % repr(args))\n\n x = _calcDependentSecond2(yr, mo, dy, hr, mn, sc)\n ms = sc - math.floor(sc)\n if tz:\n try:\n tz = _TZINFO._zmap[tz.lower()]\n except KeyError:\n if numericTimeZoneMatch(tz) is None:\n raise DateTimeError('Unknown time zone: %s' % tz)\n else:\n # Get local time zone name\n tz = self._calcTimezoneName(x, ms)\n s, d, t, microsecs = _calcIndependentSecondEtc(tz, x, ms)\n\n self._dayoffset = int((_julianday(yr, mo, dy) + 2) % 7)\n # Round to nearest microsecond in platform-independent way. You\n # cannot rely on C sprintf (Python '%') formatting to round\n # consistently; doing it ourselves ensures that all but truly\n # horrid C sprintf implementations will yield the same result\n # cross-platform, provided the format asks for exactly 6 digits after\n # the decimal point.\n sc = round(sc, 6)\n if sc >= 60.0: # can happen if, e.g., orig sc was 59.9999999\n sc = 59.999999\n self._nearsec = math.floor(sc)\n self._year, self._month, self._day = yr, mo, dy\n self._hour, self._minute, self._second = hr, mn, sc\n self.time, self._d, self._tz = s, d, tz\n # self._micros is the time since the epoch\n # in long integer microseconds.\n if microsecs is None:\n microsecs = long(round(t * 1000000.0))\n self._micros = microsecs\n\n def localZone(self, ltm=None):\n '''Returns the time zone on the given date. The time zone\n can change according to daylight savings.'''\n if not _multipleZones:\n return _localzone0\n if ltm is None:\n ltm = localtime(time())\n isDST = ltm[8]\n lz = isDST and _localzone1 or _localzone0\n return lz\n\n def _calcTimezoneName(self, x, ms):\n # Derive the name of the local time zone at the given\n # timezone-dependent second.\n if not _multipleZones:\n return _localzone0\n fsetAtEpoch = _tzoffset(_localzone0, 0.0)\n nearTime = x - fsetAtEpoch - long(EPOCH) + 86400 + ms\n # nearTime is within an hour of being correct.\n try:\n ltm = safelocaltime(nearTime)\n except BaseException:\n # We are beyond the range of Python's date support.\n # Hopefully we can assume that daylight savings schedules\n # repeat every 28 years. Calculate the name of the\n # time zone using a supported range of years.\n yr, mo, dy, hr, mn, sc = _calcYMDHMS(x, 0)\n yr = ((yr - 1970) % 28) + 1970\n x = _calcDependentSecond2(yr, mo, dy, hr, mn, sc)\n nearTime = x - fsetAtEpoch - long(EPOCH) + 86400 + ms\n\n # nearTime might still be negative if we are east of Greenwich.\n # But we can assume on 1969/12/31 were no timezone changes.\n nearTime = max(0, nearTime)\n\n ltm = safelocaltime(nearTime)\n tz = self.localZone(ltm)\n return tz\n\n def _parse(self, st, datefmt=getDefaultDateFormat()):\n # Parse date-time components from a string\n month = year = tz = tm = None\n ValidZones = _TZINFO._zidx\n TimeModifiers = ['am', 'pm']\n\n # Find timezone first, since it should always be the last\n # element, and may contain a slash, confusing the parser.\n st = st.strip()\n sp = st.split()\n tz = sp[-1]\n if tz and (tz.lower() in ValidZones):\n self._timezone_naive = False\n st = ' '.join(sp[:-1])\n else:\n self._timezone_naive = True\n tz = None # Decide later, since the default time zone\n # could depend on the date.\n\n ints = []\n i = 0\n len_st = len(st)\n while i < len_st:\n while i < len_st and st[i] in SPACE_CHARS:\n i += 1\n if i < len_st and st[i] in DELIMITERS:\n d = st[i]\n i += 1\n else:\n d = ''\n while i < len_st and st[i] in SPACE_CHARS:\n i += 1\n\n # The float pattern needs to look back 1 character, because it\n # actually looks for a preceding colon like ':33.33'. This is\n # needed to avoid accidentally matching the date part of a\n # dot-separated date string such as '1999.12.31'.\n if i > 0:\n b = i - 1\n else:\n b = i\n\n ts_results = FLT_PATTERN.match(st, b)\n if ts_results:\n s = ts_results.group(1)\n i = i + len(s)",
"start_line": 800,
"end_line": 949,
"total_lines": 1946,
"is_truncated": true
}Generated tokens 108 tokens · stopped: STOP
Still didn't find where `_parse_args` returns.
Let's just read the end of `_parse_args`.
I saw it starts at 470 and the provided snippet went up to 800.
Let's see from 800 to 1100.
<channel|><|tool_call>call:read_file{end_line:1100,filepath:<|"|>src/DateTime/DateTime.py<|"|>,start_line:800}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
Test output Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test errors Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test report (JUnit) Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Agent log Included
[ 0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
[ 0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository zopefoundation/DateTime.
[ 15.1s] 💭 (423 chars) "The user is reporting a failure in `test_pickle` in `src/DateTime/tests/test_datetime.py`
when the system date is set to..."
[ 15.1s] 🔧 run_command grep -rn --include="*.py" "test_pickle" src/DateTime/tests/
[ 15.2s] → src/DateTime/tests/test_datetime.py:264: def test_pickle(self):
[ 21.0s] 💭 (149 chars) "Okay, the `test_pickle` is in `src/DateTime/tests/test_datetime.py`.
Now let's look at `src/DateTime/DateTime.py` around..."
[ 21.0s] 📖 read_file (src/DateTime/DateTime.py)
[ 21.0s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': "from time import gmtime\nfrom time
import localtime…
[ 69.3s] 💭 (1439 chars) "The hint mentioned lines 36-38.
In the provided `read_file` output:
Line 36: `basestring = str`
Line 37: `long = int`
Li..."
[ 69.3s] 📖 read_file (src/DateTime/DateTime.py)
[ 69.3s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': " 'august': 8, 'aug':
8,\n '…
[ 121.2s] 💭 (1625 chars) "Wait, I see `long` being used in several places. `long = int` was defined at the top.
In Python 3, `int` is arbitrary pr..."
[ 121.2s] 📖 read_file (src/DateTime/DateTime.py)
[ 121.2s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': ' # x is a timezone-dependent
integer of seconds.…
[ 124.9s] 💭 (71 chars) "I need to find `DateTime.__slots__` and `__init__`.
Let's read further."
[ 124.9s] 📖 read_file (src/DateTime/DateTime.py)
[ 124.9s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': ' date-time object to
obtain a new date-t…
[ 155.7s] 💭 (1049 chars) "Found it! `__getstate__` and `__setstate__` are the culprits.
```python
def __getstate__(self):
# We store ..."
[ 155.7s] 🔧 run_command (9 lines) python3 - <<'PY'
[ 155.8s] → Original: 2198556426235027
[ 167.9s] 💭 (203 chars) "Wait, it recovered correctly. Let's try the values from the error message:
`2198556426235027` and `2198556426235026`.
M..."
[ 167.9s] 🔧 run_command (9 lines) python3 - <<'PY'
[ 167.9s] → Original: 2198556426235027
[ 207.3s] 💭 (2252 chars) "Aha! `int(float_val * 1000000)` gave `2198556426235026`.
The code uses `long(value[0] * 1000000)`, which is equivalent t..."
[ 207.3s] 📖 read_file (src/DateTime/DateTime.py)
[ 207.3s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': ' New in Zope 2.4:\n
The DateT…
[ 216.4s] 💭 (421 chars) "Wait, if I just change `__getstate__` and `__setstate__`, I might break `_parse_args` if I
pass an integer to its first ..."
[ 216.4s] 📖 read_file (src/DateTime/DateTime.py)
[ 216.4s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': ' DateTime
instance.\n …
[ 393.4s] 💭 (5617 chars) "Wait, the part that handles `ac == 1` and `arg` as "Seconds from epoch, gmt" is:
```python
else:
..."
[ 393.4s] 🔧 run_command grep -rn "class DateTime" src/DateTime/DateTime.py
[ 393.5s] → 375:class DateTime:
[ 395.4s] 💭 (34 chars) "Let's look at `DateTime.__init__`."
[ 395.4s] 📖 read_file (src/DateTime/DateTime.py)
[ 395.5s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': 'class DateTime:\n """DateTime
objects represent …
[ 408.3s] 💭 (434 chars) "Wait, `__init__` calls `self._parse_args(*args, **kw)` and returns it!
```python
def __init__(self, *args, **kw):
..."
[ 408.3s] 🔧 run_command grep -n "return self" src/DateTime/DateTime.py | grep -A 10 "def _parse_args"
[ 408.3s] → error (exit 0):
[ 410.1s] 💭 (41 chars) "Let me just search for `def _parse_args`."
[ 410.1s] 🔧 run_command grep -n "def _parse_args" src/DateTime/DateTime.py
[ 410.1s] → 470: def _parse_args(self, *args, **kw):
[ 412.7s] 💭 (50 chars) "Okay, let's read `_parse_args` from the beginning."
[ 412.7s] 📖 read_file (src/DateTime/DateTime.py)
[ 412.8s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': ' def _parse_args(self, *args,
**kw):\n ""…
[ 415.4s] 💭 (39 chars) "I need to see the end of `_parse_args`."
[ 415.4s] 🔧 run_command grep -n "return self" src/DateTime/DateTime.py
[ 415.5s] → 371: return self.dt.strftime(self.format)
[ 423.4s] 💭 (180 chars) "Still didn't find where `_parse_args` returns.
Let's just read the end of `_parse_args`.
I saw it starts at 470 and the ..."
[ 423.4s] 📖 read_file (src/DateTime/DateTime.py)
[ 423.5s] ✓ {'status': 'ok', 'filepath': 'src/DateTime/DateTime.py', 'content': " lt =
safelocaltime(t)\n …
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 452.79,
"error": "Empty agent patch",
"grade": {
"error": "Empty agent patch",
"resolved": false,
"strict_clean_patch": false,
"test_exit_code": -1
},
"instance_id": "zopefoundation__DateTime-62",
"pass_idx": 0,
"patch_chars": 0,
"phase1_seconds": 452.79,
"repo": "zopefoundation/DateTime",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/zopefoundation__DateTime-62__p0__r1.jsonl",
"resolved": false,
"rollout_idx": 1,
"run_key": "zopefoundation__DateTime-62__p0__r1",
"strict_clean_patch": false,
"tool_calls": 16,
"total_llm_calls": 16,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_zopefoundation__DateTime-62__p0__r1.json"
}