ROLLOUT 6 · amaranth-lang/amaranth
amaranth-lang__amaranth-923
Not solved
453 stotal time
20tool calls
20model calls
6,769tokens generated
208,865prompt tokens read
Empty agent patch
Turn by turn
Token shading: p ≥ 0.9 0.5 – 0.9 0.2 – 0.5 below 0.2. Hover a token for its id and probability.
System instructions 4,822 characters
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 5,653 characters
You are evaluating a software engineering task for repository amaranth-lang/amaranth.
Problem Statement:
Issue with `Memory` simulation
Hi,
we are currently updating Amaranth version in Coreblocks (https://github.com/kuznia-rdzeni/coreblocks/pull/461) and unexpectedly some unit tests started to fail. Part of failing unit tests check the whole core on assembler programs. Similar tests using Cocotb and Verilator passed successfully, so I assume some problems with simulation inside Amaranth (as unit tests use amaranth tests framework). After some investigation it looks like the issue is related #893. Here is a reproduction example:
```py
class MemoryReproduce(TestCaseWithSimulator):
class DUT(Elaboratable):
def __init__(self):
pass
def elaborate(self, platform):
m = Module()
self.mem = Memory(width=8, depth=8)
m.submodules.read_port = self.read_port = self.mem.read_port()
m.submodules.write_port = self.write_port = self.mem.write_port()
return m
def test_minimal(self):
m = self.DUT()
def process():
yield m.read_port.addr.eq(1)
yield m.read_port.en.eq(1)
yield
print((yield m.read_port.data))
yield
yield m.write_port.addr.eq(2)
yield m.write_port.data.eq(14)
yield m.write_port.en.eq(1)
print((yield m.read_port.data))
yield
yield m.write_port.en.eq(0)
print((yield m.read_port.data))
yield
print((yield m.read_port.data))
yield
print((yield m.read_port.data))
with self.run_simulation(m) as sim:
sim.add_sync_process(process)
```
Output for this test case:
```
0
0
0
14
0
```
Idea is that we try to read memory from the one address and write to the other one. So we expect that writing has no impact on reading. But as you can see that is not a case in Amaranth simulation. Write cause that on read data output port there is visible written value for one cycle.
## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns
## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- 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):
```
./CONTRIBUTING.txt
./LICENSE.txt
./README.md
./amaranth
./amaranth/__init__.py
./amaranth/_toolchain
./amaranth/_toolchain/__init__.py
./amaranth/_toolchain/yosys.py
./amaranth/_unused.py
./amaranth/_utils.py
./amaranth/asserts.py
./amaranth/back
./amaranth/back/__init__.py
./amaranth/back/cxxrtl.py
./amaranth/back/rtlil.py
./amaranth/back/verilog.py
./amaranth/build
./amaranth/build/__init__.py
./amaranth/build/dsl.py
./amaranth/build/plat.py
./amaranth/build/res.py
./amaranth/build/run.py
./amaranth/cli.py
./amaranth/compat
./amaranth/compat/__init__.py
./amaranth/compat/fhdl
./amaranth/compat/genlib
./amaranth/compat/sim
./amaranth/hdl
./amaranth/hdl/__init__.py
./amaranth/hdl/_rec.py
./amaranth/hdl/ast.py
./amaranth/hdl/cd.py
./amaranth/hdl/dsl.py
./amaranth/hdl/ir.py
./amaranth/hdl/mem.py
./amaranth/hdl/rec.py
./amaranth/hdl/xfrm.py
./amaranth/lib
./amaranth/lib/__init__.py
./amaranth/lib/cdc.py
./amaranth/lib/coding.py
./amaranth/lib/crc
./amaranth/lib/data.py
./amaranth/lib/enum.py
./amaranth/lib/fifo.py
./amaranth/lib/io.py
./amaranth/lib/scheduler.py
./amaranth/lib/wiring.py
./amaranth/rpc.py
./amaranth/sim
./amaranth/sim/__init__.py
./amaranth/sim/_base.py
./amaranth/sim/_pyclock.py
./amaranth/sim/_pycoro.py
./amaranth/sim/_pyrtl.py
./amaranth/sim/core.py
./amaranth/sim/pysim.py
./amaranth/tracer.py
./amaranth/utils.py
./amaranth/vendor
./amaranth/vendor/__init__.py
./amaranth/vendor/_gowin.py
./amaranth/vendor/_intel.py
./amaranth/vendor/_lattice_ecp5.py
./amaranth/vendor/_lattice_ice40.py
./amaranth/vendor/_lattice_machxo_2_3l.py
./amaranth/vendor/_quicklogic.py
./amaranth/vendor/_xilinx.py
./amaranth/vendor/gowin.py
./amaranth/vendor/intel.py
./amaranth/vendor/lattice_ecp5.py
./amaranth/vendor/lattice_ice40.py
./amaranth/vendor/lattice_machxo_2_3l.py
./amaranth/vendor/quicklogic.py
./amaranth/vendor/xilinx.py
./docs
./examples
./pdm_build.py
./pyproject.toml
./tests
```
Turn 1at 81 s1,515 tokens out3,835 prompt tokens
The user is reporting an issue with `Memory` simulation in Amaranth.
Specifically, writing to one address in memory seems to affect the value read from another address for one cycle.
Let's look at the reproduction example provided:
```py
class MemoryReproduce(TestCaseWithSimulator):
class DUT(Elaboratable):
def __init__(self):
pass
def elaborate(self, platform):
m = Module()
self.mem = Memory(width=8, depth=8)
m.submodules.read_port = self.read_port = self.mem.read_port()
m.submodules.write_port = self.write_port = self.mem.write_port()
return m
def test_minimal(self):
m = self.DUT()
def process():
yield m.read_port.addr.eq(1)
yield m.read_port.en.eq(1)
yield
print((yield m.read_port.data))
yield
yield m.write_port.addr.eq(2)
yield m.write_port.data.eq(14)
yield m.write_port.en.eq(1)
print((yield m.read_port.data))
yield
yield m.write_port.en.eq(0)
print((yield m.read_port.data))
yield
print((yield m.read_port.data))
yield
print((yield m.read_port.data))
with self.run_simulation(m) as sim:
sim.add_sync_process(process)
```
Expected output (writing to addr 2 should not affect read from addr 1):
1. read addr 1 -> 0
2. write addr 2 = 14, read addr 1 -> 0
3. write enable = 0, read addr 1 -> 0
4. read addr 1 -> 0
5. read addr 1 -> 0
Actual output:
0
0
0
14
0
Wait, the user says:
Output for this test case:
```
0
0
0
14
0
```
And "Write cause that on read data output port there is visible written value for one cycle."
The output they got: 0, 0, 0, 14, 0.
Wait, let's count the prints.
1st print: `print((yield m.read_port.data))` -> 0
2nd print: `print((yield m.read_port.data))` -> 0
3rd print: `print((yield m.read_port.data))` -> 0
4th print: `print((yield m.read_port.data))` -> 14 <-- This is the problem!
5th print: `print((yield m.read_port.data))` -> 0
Looking at the `process()`:
```py
def process():
yield m.read_port.addr.eq(1)
yield m.read_port.en.eq(1)
yield # cycle 1 ends
print((yield m.read_port.data)) # Print 1: cycle 2 begins
yield # cycle 2 ends
yield m.write_port.addr.eq(2)
yield m.write_port.data.eq(14)
yield m.write_port.en.eq(1)
print((yield m.read_port.data)) # Print 2: cycle 3 begins
yield # cycle 3 ends
yield m.write_port.en.eq(0)
print((yield m.read_port.data)) # Print 3: cycle 4 begins
yield # cycle 4 ends
print((yield m.read_port.data)) # Print 4: cycle 5 begins
yield # cycle 5 ends
print((yield m.read_port.data)) # Print 5: cycle 6 begins
```
If the outputs are 0, 0, 0, 14, 0:
Print 1: 0
Print 2: 0
Print 3: 0
Print 4: 14 <-- Should be 0
Print 5: 0
Wait, let's re-examine the output from the user again.
0
0
0
14
0
Printing happened at:
1. After `yield` (cycle 2 start)
2. After `yield m.write_port.en.eq(1)` (cycle 3 start)
3. After `yield m.write_port.en.eq(0)` (cycle 4 start)
4. After `yield` (cycle 5 start)
5. After `yield` (cycle 6 start)
So Print 4 corresponds to the 4th call to `print`. This happens after 4 clocks have passed since the start of the simulation? No, let's be precise.
Cycle 1:
`read_port.addr = 1`
`read_port.en = 1`
`yield` -> clock edge
Cycle 2:
`print(read_port.data)` -> Print 1 (0)
`yield` -> clock edge
Cycle 3:
`write_port.addr = 2`
`write_port.data = 14`
`write_port.en = 1`
`print(read_port.data)` -> Print 2 (0)
`yield` -> clock edge
Cycle 4:
`write_port.en = 0`
`print(read_port.data)` -> Print 3 (0)
`yield` -> clock edge
Cycle 5:
`print(read_port.data)` -> Print 4 (14) <-- BUG HERE
`yield` -> clock edge
Cycle 6:
`print(read_port.data)` -> Print 5 (0)
So at cycle 5, it reads 14, even though we were reading address 1 and we wrote 14 to address 2.
This looks like a simulation bug in `Memory`.
Let's find where `Memory` is simulated.
`amaranth/hdl/mem.py` likely defines `Memory`.
The simulation might be in `amaranth/sim/_pyrtl.py`.
Let's start by locating `Memory` and its simulation logic.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"class Memory\" ."
}Result of run_command 177 characters
{
"status": "ok",
"stdout": "./amaranth/hdl/mem.py:12:class Memory(Elaboratable):\n./tests/test_hdl_mem.py:9:class MemoryTestCase(FHDLTestCase):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 1,515 tokens · stopped: STOP
<|channel>thought
The user is reporting an issue with `Memory` simulation in Amaranth.
Specifically, writing to one address in memory seems to affect the value read from another address for one cycle.
Let's look at the reproduction example provided:
```py
class MemoryReproduce(TestCaseWithSimulator):
class DUT(Elaboratable):
def __init__(self):
pass
def elaborate(self, platform):
m = Module()
self.mem = Memory(width=8, depth=8)
m.submodules.read_port = self.read_port = self.mem.read_port()
m.submodules.write_port = self.write_port = self.mem.write_port()
return m
def test_minimal(self):
m = self.DUT()
def process():
yield m.read_port.addr.eq(1)
yield m.read_port.en.eq(1)
yield
print((yield m.read_port.data))
yield
yield m.write_port.addr.eq(2)
yield m.write_port.data.eq(14)
yield m.write_port.en.eq(1)
print((yield m.read_port.data))
yield
yield m.write_port.en.eq(0)
print((yield m.read_port.data))
yield
print((yield m.read_port.data))
yield
print((yield m.read_port.data))
with self.run_simulation(m) as sim:
sim.add_sync_process(process)
```
Expected output (writing to addr 2 should not affect read from addr 1):
1. read addr 1 -> 0
2. write addr 2 = 14, read addr 1 -> 0
3. write enable = 0, read addr 1 -> 0
4. read addr 1 -> 0
5. read addr 1 -> 0
Actual output:
0
0
0
14
0
Wait, the user says:
Output for this test case:
```
0
0
0
14
0
```
And "Write cause that on read data output port there is visible written value for one cycle."
The output they got: 0, 0, 0, 14, 0.
Wait, let's count the prints.
1st print: `print((yield m.read_port.data))` -> 0
2nd print: `print((yield m.read_port.data))` -> 0
3rd print: `print((yield m.read_port.data))` -> 0
4th print: `print((yield m.read_port.data))` -> 14 <-- This is the problem!
5th print: `print((yield m.read_port.data))` -> 0
Looking at the `process()`:
```py
def process():
yield m.read_port.addr.eq(1)
yield m.read_port.en.eq(1)
yield # cycle 1 ends
print((yield m.read_port.data)) # Print 1: cycle 2 begins
yield # cycle 2 ends
yield m.write_port.addr.eq(2)
yield m.write_port.data.eq(14)
yield m.write_port.en.eq(1)
print((yield m.read_port.data)) # Print 2: cycle 3 begins
yield # cycle 3 ends
yield m.write_port.en.eq(0)
print((yield m.read_port.data)) # Print 3: cycle 4 begins
yield # cycle 4 ends
print((yield m.read_port.data)) # Print 4: cycle 5 begins
yield # cycle 5 ends
print((yield m.read_port.data)) # Print 5: cycle 6 begins
```
If the outputs are 0, 0, 0, 14, 0:
Print 1: 0
Print 2: 0
Print 3: 0
Print 4: 14 <-- Should be 0
Print 5: 0
Wait, let's re-examine the output from the user again.
0
0
0
14
0
Printing happened at:
1. After `yield` (cycle 2 start)
2. After `yield m.write_port.en.eq(1)` (cycle 3 start)
3. After `yield m.write_port.en.eq(0)` (cycle 4 start)
4. After `yield` (cycle 5 start)
5. After `yield` (cycle 6 start)
So Print 4 corresponds to the 4th call to `print`. This happens after 4 clocks have passed since the start of the simulation? No, let's be precise.
Cycle 1:
`read_port.addr = 1`
`read_port.en = 1`
`yield` -> clock edge
Cycle 2:
`print(read_port.data)` -> Print 1 (0)
`yield` -> clock edge
Cycle 3:
`write_port.addr = 2`
`write_port.data = 14`
`write_port.en = 1`
`print(read_port.data)` -> Print 2 (0)
`yield` -> clock edge
Cycle 4:
`write_port.en = 0`
`print(read_port.data)` -> Print 3 (0)
`yield` -> clock edge
Cycle 5:
`print(read_port.data)` -> Print 4 (14) <-- BUG HERE
`yield` -> clock edge
Cycle 6:
`print(read_port.data)` -> Print 5 (0)
So at cycle 5, it reads 14, even though we were reading address 1 and we wrote 14 to address 2.
This looks like a simulation bug in `Memory`.
Let's find where `Memory` is simulated.
`amaranth/hdl/mem.py` likely defines `Memory`.
The simulation might be in `amaranth/sim/_pyrtl.py`.
Let's start by locating `Memory` and its simulation logic.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "class Memory" .<|"|>}<tool_call|><|tool_response>
Turn 2at 87 s73 tokens out5,433 prompt tokens
`amaranth/hdl/mem.py` defines `Memory`. Let's see how `Memory` is handled in simulation. I'll search for "Memory" in `amaranth/sim/`.
TOOL CALL · run_command
{
"command": "grep -rn \"Memory\" amaranth/sim/"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 73 tokens · stopped: STOP
`amaranth/hdl/mem.py` defines `Memory`.
Let's see how `Memory` is handled in simulation.
I'll search for "Memory" in `amaranth/sim/`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "Memory" amaranth/sim/<|"|>}<tool_call|><|tool_response>
Turn 3at 100 s117 tokens out5,561 prompt tokens
Wait, `grep` returned error? Ah, maybe no match if I search for "Memory" in `amaranth/sim/` if it's not explicitly mentioned as a class. Actually, `Memory` is an `Elaboratable`. It's probably expanded into some primitive that is then simulated. Let's look at `amaranth/hdl/mem.py` first to see how `Memory` is structured.
TOOL CALL · read_file
{
"filepath": "amaranth/hdl/mem.py"
}Result of read_file 5,973 characters
{
"status": "ok",
"filepath": "amaranth/hdl/mem.py",
"content": "import operator\nfrom collections import OrderedDict\n\nfrom .. import tracer\nfrom .ast import *\nfrom .ir import Elaboratable, Instance, Fragment\n\n\n__all__ = [\"Memory\", \"ReadPort\", \"WritePort\", \"DummyPort\"]\n\n\nclass Memory(Elaboratable):\n \"\"\"A word addressable storage.\n\n Parameters\n ----------\n width : int\n Access granularity. Each storage element of this memory is ``width`` bits in size.\n depth : int\n Word count. This memory contains ``depth`` storage elements.\n init : list of int\n Initial values. At power on, each storage element in this memory is initialized to\n the corresponding element of ``init``, if any, or to zero otherwise.\n Uninitialized memories are not currently supported.\n name : str\n Name hint for this memory. If ``None`` (default) the name is inferred from the variable\n name this ``Signal`` is assigned to.\n attrs : dict\n Dictionary of synthesis attributes.\n\n Attributes\n ----------\n width : int\n depth : int\n init : list of int\n attrs : dict\n \"\"\"\n def __init__(self, *, width, depth, init=None, name=None, attrs=None, simulate=True):\n if not isinstance(width, int) or width < 0:\n raise TypeError(\"Memory width must be a non-negative integer, not {!r}\"\n .format(width))\n if not isinstance(depth, int) or depth < 0:\n raise TypeError(\"Memory depth must be a non-negative integer, not {!r}\"\n .format(depth))\n\n self.name = name or tracer.get_var_name(depth=2, default=\"$memory\")\n self.src_loc = tracer.get_src_loc()\n\n self.width = width\n self.depth = depth\n self.attrs = OrderedDict(() if attrs is None else attrs)\n\n # Array of signals for simulation.\n self._array = Array()\n if simulate:\n for addr in range(self.depth):\n self._array.append(Signal(self.width, name=\"{}({})\"\n .format(name or \"memory\", addr)))\n\n self.init = init\n self._read_ports = []\n self._write_ports = []\n\n @property\n def init(self):\n return self._init\n\n @init.setter\n def init(self, new_init):\n self._init = [] if new_init is None else list(new_init)\n if len(self.init) > self.depth:\n raise ValueError(\"Memory initialization value count exceed memory depth ({} > {})\"\n .format(len(self.init), self.depth))\n\n try:\n for addr in range(len(self._array)):\n if addr < len(self._init):\n self._array[addr].reset = operator.index(self._init[addr])\n else:\n self._array[addr].reset = 0\n except TypeError as e:\n raise TypeError(\"Memory initialization value at address {:x}: {}\"\n .format(addr, e)) from None\n\n def read_port(self, *, src_loc_at=0, **kwargs):\n \"\"\"Get a read port.\n\n See :class:`ReadPort` for details.\n\n Arguments\n ---------\n domain : str\n transparent : bool\n\n Returns\n -------\n An instance of :class:`ReadPort` associated with this memory.\n \"\"\"\n return ReadPort(self, src_loc_at=1 + src_loc_at, **kwargs)\n\n def write_port(self, *, src_loc_at=0, **kwargs):\n \"\"\"Get a write port.\n\n See :class:`WritePort` for details.\n\n Arguments\n ---------\n domain : str\n granularity : int\n\n Returns\n -------\n An instance of :class:`WritePort` associated with this memory.\n \"\"\"\n return WritePort(self, src_loc_at=1 + src_loc_at, **kwargs)\n\n def __getitem__(self, index):\n \"\"\"Simulation only.\"\"\"\n return self._array[index]\n\n def elaborate(self, platform):\n init = \"\".join(format(Const(elem, unsigned(self.width)).value, f\"0{self.width}b\") for elem in reversed(self.init))\n init = Const(int(init or \"0\", 2), self.depth * self.width)\n rd_clk = []\n rd_clk_enable = 0\n rd_transparency_mask = 0\n for index, port in enumerate(self._read_ports):\n if port.domain != \"comb\":\n rd_clk.append(ClockSignal(port.domain))\n rd_clk_enable |= 1 << index\n if port.transparent:\n for write_index, write_port in enumerate(self._write_ports):\n if port.domain == write_port.domain:\n rd_transparency_mask |= 1 << (index * len(self._write_ports) + write_index)\n else:\n rd_clk.append(Const(0, 1))\n f = Instance(\"$mem_v2\",\n *((\"a\", attr, value) for attr, value in self.attrs.items()),\n p_SIZE=self.depth,\n p_OFFSET=0,\n p_ABITS=Shape.cast(range(self.depth)).width,\n p_WIDTH=self.width,\n p_INIT=init,\n p_RD_PORTS=len(self._read_ports),\n p_RD_CLK_ENABLE=Const(rd_clk_enable, len(self._read_ports)) if self._read_ports else Const(0, 1),\n p_RD_CLK_POLARITY=Const(-1, unsigned(len(self._read_ports))) if self._read_ports else Const(0, 1),\n p_RD_TRANSPARENCY_MASK=Const(rd_transparency_mask, max(1, len(self._read_ports) * len(self._write_ports))),\n p_RD_COLLISION_X_MASK=Const(0, max(1, len(self._read_ports) * len(self._write_ports))),\n p_RD_WIDE_CONTINUATION=Const(0, len(self._read_ports)) if self._read_ports else Const(0, 1),\n p_RD_CE_OVER_SRST=Const(0, len(self._read_ports)) if self._read_ports else Const(0, 1),",
"start_line": 1,
"end_line": 150,
"total_lines": 354,
"is_truncated": true
}Generated tokens 117 tokens · stopped: STOP
Wait, `grep` returned error? Ah, maybe no match if I search for "Memory" in `amaranth/sim/` if it's not explicitly mentioned as a class.
Actually, `Memory` is an `Elaboratable`. It's probably expanded into some primitive that is then simulated.
Let's look at `amaranth/hdl/mem.py` first to see how `Memory` is structured.
<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/hdl/mem.py<|"|>}<tool_call|><|tool_response>
Turn 4at 114 s177 tokens out7,422 prompt tokens
I see `Memory` class in `amaranth/hdl/mem.py`.
It has `_array` which is used for simulation:
```python
# Array of signals for simulation.
self._array = Array()
if simulate:
for addr in range(self.depth):
self._array.append(Signal(self.width, name="{}({})".format(name or "memory", addr)))
```
And `__getitem__` returns `self._array[index]`.
Now let's look at `ReadPort` and `WritePort`. They are also in `amaranth/hdl/mem.py`.
TOOL CALL · read_file
{
"filepath": "amaranth/hdl/mem.py",
"start_line\"": 151
}Result of read_file 5,973 characters
{
"status": "ok",
"filepath": "amaranth/hdl/mem.py",
"content": "import operator\nfrom collections import OrderedDict\n\nfrom .. import tracer\nfrom .ast import *\nfrom .ir import Elaboratable, Instance, Fragment\n\n\n__all__ = [\"Memory\", \"ReadPort\", \"WritePort\", \"DummyPort\"]\n\n\nclass Memory(Elaboratable):\n \"\"\"A word addressable storage.\n\n Parameters\n ----------\n width : int\n Access granularity. Each storage element of this memory is ``width`` bits in size.\n depth : int\n Word count. This memory contains ``depth`` storage elements.\n init : list of int\n Initial values. At power on, each storage element in this memory is initialized to\n the corresponding element of ``init``, if any, or to zero otherwise.\n Uninitialized memories are not currently supported.\n name : str\n Name hint for this memory. If ``None`` (default) the name is inferred from the variable\n name this ``Signal`` is assigned to.\n attrs : dict\n Dictionary of synthesis attributes.\n\n Attributes\n ----------\n width : int\n depth : int\n init : list of int\n attrs : dict\n \"\"\"\n def __init__(self, *, width, depth, init=None, name=None, attrs=None, simulate=True):\n if not isinstance(width, int) or width < 0:\n raise TypeError(\"Memory width must be a non-negative integer, not {!r}\"\n .format(width))\n if not isinstance(depth, int) or depth < 0:\n raise TypeError(\"Memory depth must be a non-negative integer, not {!r}\"\n .format(depth))\n\n self.name = name or tracer.get_var_name(depth=2, default=\"$memory\")\n self.src_loc = tracer.get_src_loc()\n\n self.width = width\n self.depth = depth\n self.attrs = OrderedDict(() if attrs is None else attrs)\n\n # Array of signals for simulation.\n self._array = Array()\n if simulate:\n for addr in range(self.depth):\n self._array.append(Signal(self.width, name=\"{}({})\"\n .format(name or \"memory\", addr)))\n\n self.init = init\n self._read_ports = []\n self._write_ports = []\n\n @property\n def init(self):\n return self._init\n\n @init.setter\n def init(self, new_init):\n self._init = [] if new_init is None else list(new_init)\n if len(self.init) > self.depth:\n raise ValueError(\"Memory initialization value count exceed memory depth ({} > {})\"\n .format(len(self.init), self.depth))\n\n try:\n for addr in range(len(self._array)):\n if addr < len(self._init):\n self._array[addr].reset = operator.index(self._init[addr])\n else:\n self._array[addr].reset = 0\n except TypeError as e:\n raise TypeError(\"Memory initialization value at address {:x}: {}\"\n .format(addr, e)) from None\n\n def read_port(self, *, src_loc_at=0, **kwargs):\n \"\"\"Get a read port.\n\n See :class:`ReadPort` for details.\n\n Arguments\n ---------\n domain : str\n transparent : bool\n\n Returns\n -------\n An instance of :class:`ReadPort` associated with this memory.\n \"\"\"\n return ReadPort(self, src_loc_at=1 + src_loc_at, **kwargs)\n\n def write_port(self, *, src_loc_at=0, **kwargs):\n \"\"\"Get a write port.\n\n See :class:`WritePort` for details.\n\n Arguments\n ---------\n domain : str\n granularity : int\n\n Returns\n -------\n An instance of :class:`WritePort` associated with this memory.\n \"\"\"\n return WritePort(self, src_loc_at=1 + src_loc_at, **kwargs)\n\n def __getitem__(self, index):\n \"\"\"Simulation only.\"\"\"\n return self._array[index]\n\n def elaborate(self, platform):\n init = \"\".join(format(Const(elem, unsigned(self.width)).value, f\"0{self.width}b\") for elem in reversed(self.init))\n init = Const(int(init or \"0\", 2), self.depth * self.width)\n rd_clk = []\n rd_clk_enable = 0\n rd_transparency_mask = 0\n for index, port in enumerate(self._read_ports):\n if port.domain != \"comb\":\n rd_clk.append(ClockSignal(port.domain))\n rd_clk_enable |= 1 << index\n if port.transparent:\n for write_index, write_port in enumerate(self._write_ports):\n if port.domain == write_port.domain:\n rd_transparency_mask |= 1 << (index * len(self._write_ports) + write_index)\n else:\n rd_clk.append(Const(0, 1))\n f = Instance(\"$mem_v2\",\n *((\"a\", attr, value) for attr, value in self.attrs.items()),\n p_SIZE=self.depth,\n p_OFFSET=0,\n p_ABITS=Shape.cast(range(self.depth)).width,\n p_WIDTH=self.width,\n p_INIT=init,\n p_RD_PORTS=len(self._read_ports),\n p_RD_CLK_ENABLE=Const(rd_clk_enable, len(self._read_ports)) if self._read_ports else Const(0, 1),\n p_RD_CLK_POLARITY=Const(-1, unsigned(len(self._read_ports))) if self._read_ports else Const(0, 1),\n p_RD_TRANSPARENCY_MASK=Const(rd_transparency_mask, max(1, len(self._read_ports) * len(self._write_ports))),\n p_RD_COLLISION_X_MASK=Const(0, max(1, len(self._read_ports) * len(self._write_ports))),\n p_RD_WIDE_CONTINUATION=Const(0, len(self._read_ports)) if self._read_ports else Const(0, 1),\n p_RD_CE_OVER_SRST=Const(0, len(self._read_ports)) if self._read_ports else Const(0, 1),",
"start_line": 1,
"end_line": 150,
"total_lines": 354,
"is_truncated": true
}Generated tokens 177 tokens · stopped: STOP
I see `Memory` class in `amaranth/hdl/mem.py`.
It has `_array` which is used for simulation:
```python
# Array of signals for simulation.
self._array = Array()
if simulate:
for addr in range(self.depth):
self._array.append(Signal(self.width, name="{}({})".format(name or "memory", addr)))
```
And `__getitem__` returns `self._array[index]`.
Now let's look at `ReadPort` and `WritePort`. They are also in `amaranth/hdl/mem.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/hdl/mem.py<|"|>,start_line":151}<tool_call|><|tool_response>
Turn 5at 127 s188 tokens out9,343 prompt tokens
Wait, I called `read_file` with `start_line=151` but I got the same content as before (lines 1-150). Ah, the tool might not be supporting `start_line` if I don't include it correctly or maybe I just misread the output. Actually, looking at the returned `content`, it is indeed lines 1-150 again. Wait, my previous `read_file` call had `start_line: 151` but the output says `start_line: 1`. Looking at the tool definition: `read_file(filepath, start_line=None, end_line=None)`. I will try again.
TOOL CALL · read_file
{
"filepath": "amaranth/hdl/mem.py",
"start_line": 151
}Result of read_file 7,018 characters
{
"status": "ok",
"filepath": "amaranth/hdl/mem.py",
"content": " p_RD_ARST_VALUE=Const(0, len(self._read_ports) * self.width),\n p_RD_SRST_VALUE=Const(0, len(self._read_ports) * self.width),\n p_RD_INIT_VALUE=Const(0, len(self._read_ports) * self.width),\n p_WR_PORTS=len(self._write_ports),\n p_WR_CLK_ENABLE=Const(-1, unsigned(len(self._write_ports))) if self._write_ports else Const(0, 1),\n p_WR_CLK_POLARITY=Const(-1, unsigned(len(self._write_ports))) if self._write_ports else Const(0, 1),\n p_WR_PRIORITY_MASK=Const(0, len(self._write_ports) * len(self._write_ports)) if self._write_ports else Const(0, 1),\n p_WR_WIDE_CONTINUATION=Const(0, len(self._write_ports)) if self._write_ports else Const(0, 1),\n i_RD_CLK=Cat(rd_clk),\n i_RD_EN=Cat(port.en for port in self._read_ports),\n i_RD_ARST=Const(0, len(self._read_ports)),\n i_RD_SRST=Const(0, len(self._read_ports)),\n i_RD_ADDR=Cat(port.addr for port in self._read_ports),\n o_RD_DATA=Cat(port.data for port in self._read_ports),\n i_WR_CLK=Cat(ClockSignal(port.domain) for port in self._write_ports),\n i_WR_EN=Cat(Cat(en_bit.replicate(port.granularity) for en_bit in port.en) for port in self._write_ports),\n i_WR_ADDR=Cat(port.addr for port in self._write_ports),\n i_WR_DATA=Cat(port.data for port in self._write_ports),\n )\n for port in self._read_ports:\n port._MustUse__used = True\n if port.domain == \"comb\":\n # Asynchronous port\n f.add_statements(port.data.eq(self._array[port.addr]))\n f.add_driver(port.data)\n else:\n # Synchronous port\n data = self._array[port.addr]\n for write_port in self._write_ports:\n if port.domain == write_port.domain and port.transparent:\n if len(write_port.en) > 1:\n parts = []\n for index, en_bit in enumerate(write_port.en):\n offset = index * write_port.granularity\n bits = slice(offset, offset + write_port.granularity)\n cond = en_bit & (port.addr == write_port.addr)\n parts.append(Mux(cond, write_port.data[bits], data[bits]))\n data = Cat(parts)\n else:\n data = Mux(write_port.en, write_port.data, data)\n f.add_statements(\n Switch(port.en, {\n 1: port.data.eq(data)\n })\n )\n f.add_driver(port.data, port.domain)\n for port in self._write_ports:\n port._MustUse__used = True\n if len(port.en) > 1:\n for index, en_bit in enumerate(port.en):\n offset = index * port.granularity\n bits = slice(offset, offset + port.granularity)\n write_data = self._array[port.addr][bits].eq(port.data[bits])\n f.add_statements(Switch(en_bit, { 1: write_data }))\n else:\n write_data = self._array[port.addr].eq(port.data)\n f.add_statements(Switch(port.en, { 1: write_data }))\n for signal in self._array:\n f.add_driver(signal, port.domain)\n return f\n\nclass ReadPort(Elaboratable):\n \"\"\"A memory read port.\n\n Parameters\n ----------\n memory : :class:`Memory`\n Memory associated with the port.\n domain : str\n Clock domain. Defaults to ``\"sync\"``. If set to ``\"comb\"``, the port is asynchronous.\n Otherwise, the read data becomes available on the next clock cycle.\n transparent : bool\n Port transparency. If set (default), a read at an address that is also being written to in\n the same clock cycle will output the new value. Otherwise, the old value will be output\n first. This behavior only applies to ports in the same domain.\n\n Attributes\n ----------\n memory : :class:`Memory`\n domain : str\n transparent : bool\n addr : Signal(range(memory.depth)), in\n Read address.\n data : Signal(memory.width), out\n Read data.\n en : Signal or Const, in\n Read enable. If asserted, ``data`` is updated with the word stored at ``addr``.\n\n Exceptions\n ----------\n Raises :exn:`ValueError` if the read port is simultaneously asynchronous and non-transparent.\n \"\"\"\n def __init__(self, memory, *, domain=\"sync\", transparent=True, src_loc_at=0):\n if domain == \"comb\" and not transparent:\n raise ValueError(\"Read port cannot be simultaneously asynchronous and non-transparent\")\n\n self.memory = memory\n self.domain = domain\n self.transparent = transparent\n\n self.addr = Signal(range(memory.depth),\n name=\"{}_r_addr\".format(memory.name), src_loc_at=1 + src_loc_at)\n self.data = Signal(memory.width,\n name=\"{}_r_data\".format(memory.name), src_loc_at=1 + src_loc_at)\n if self.domain != \"comb\":\n self.en = Signal(name=\"{}_r_en\".format(memory.name), reset=1,\n src_loc_at=1 + src_loc_at)\n else:\n self.en = Const(1)\n\n memory._read_ports.append(self)\n\n def elaborate(self, platform):\n if self is self.memory._read_ports[0]:\n return self.memory\n else:\n return Fragment()\n\n\nclass WritePort(Elaboratable):\n \"\"\"A memory write port.\n\n Parameters\n ----------\n memory : :class:`Memory`\n Memory associated with the port.\n domain : str\n Clock domain. Defaults to ``\"sync\"``. Writes have a latency of 1 clock cycle.\n granularity : int\n Port granularity. Defaults to ``memory.width``. Write data is split evenly in\n ``memory.width // granularity`` chunks, which can be updated independently.\n\n Attributes\n ----------\n memory : :class:`Memory`\n domain : str\n granularity : int\n addr : Signal(range(memory.depth)), in\n Write address.\n data : Signal(memory.width), in\n Write data.\n en : Signal(memory.width // granularity), in\n Write enable. Each bit selects a non-overlapping chunk of ``granularity`` bits on the\n ``data`` signal, which is written to memory at ``addr``. Unselected chunks are ignored.\n\n Exceptions\n ----------\n Raises :exn:`ValueError` if the write port granularity is greater than memory width, or does not\n divide memory width evenly.\n \"\"\"",
"start_line": 151,
"end_line": 300,
"total_lines": 354,
"is_truncated": true
}Generated tokens 188 tokens · stopped: STOP
Wait, I called `read_file` with `start_line=151` but I got the same content as before (lines 1-150).
Ah, the tool might not be supporting `start_line` if I don't include it correctly or maybe I just misread the output.
Actually, looking at the returned `content`, it is indeed lines 1-150 again.
Wait, my previous `read_file` call had `start_line: 151` but the output says `start_line: 1`.
Looking at the tool definition: `read_file(filepath, start_line=None, end_line=None)`.
I will try again.<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/hdl/mem.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 6at 157 s525 tokens out11,519 prompt tokens
I'm reading `amaranth/hdl/mem.py`.
The `elaborate` method of `Memory` defines how it's simulated.
For a synchronous read port:
```python
# Synchronous port
data = self._array[port.addr]
for write_port in self._write_ports:
if port.domain == write_port.domain and port.transparent:
if len(write_port.en) > 1:
# ...
else:
data = Mux(write_port.en, write_port.data, data)
f.add_statements(
Switch(port.en, {
1: port.data.eq(data)
})
)
f.add_driver(port.data, port.domain)
```
And for write ports:
```python
for port in self._write_ports:
port._MustUse__used = True
if len(port.en) > 1:
for index, en_bit in enumerate(port.en):
offset = index * port.granularity
bits = slice(offset, offset + port.granularity)
write_data = self._array[port.addr][bits].eq(port.data[bits])
f.add_statements(Switch(en_bit, { 1: write_data }))
else:
write_data = self._array[port.addr].eq(port.data)
f.add_statements(Switch(port.en, { 1: write_data }))
for signal in self._array:
f.add_driver(signal, port.domain)
```
Notice that `self._array` contains `Signal` objects.
`self._array[port.addr]` is a `Signal` indexed by another `Signal` (the address).
This `Signal` indexing must be handled by the simulator.
Let's find where the simulation of `Signal` indexing is implemented.
It's likely in `amaranth/sim/_pyrtl.py`.
Let's search for indexing logic in `amaranth/sim/_pyrtl.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"indexed\" amaranth/sim/_pyrtl.py"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 525 tokens · stopped: STOP
I'm reading `amaranth/hdl/mem.py`.
The `elaborate` method of `Memory` defines how it's simulated.
For a synchronous read port:
```python
# Synchronous port
data = self._array[port.addr]
for write_port in self._write_ports:
if port.domain == write_port.domain and port.transparent:
if len(write_port.en) > 1:
# ...
else:
data = Mux(write_port.en, write_port.data, data)
f.add_statements(
Switch(port.en, {
1: port.data.eq(data)
})
)
f.add_driver(port.data, port.domain)
```
And for write ports:
```python
for port in self._write_ports:
port._MustUse__used = True
if len(port.en) > 1:
for index, en_bit in enumerate(port.en):
offset = index * port.granularity
bits = slice(offset, offset + port.granularity)
write_data = self._array[port.addr][bits].eq(port.data[bits])
f.add_statements(Switch(en_bit, { 1: write_data }))
else:
write_data = self._array[port.addr].eq(port.data)
f.add_statements(Switch(port.en, { 1: write_data }))
for signal in self._array:
f.add_driver(signal, port.domain)
```
Notice that `self._array` contains `Signal` objects.
`self._array[port.addr]` is a `Signal` indexed by another `Signal` (the address).
This `Signal` indexing must be handled by the simulator.
Let's find where the simulation of `Signal` indexing is implemented.
It's likely in `amaranth/sim/_pyrtl.py`.
Let's search for indexing logic in `amaranth/sim/_pyrtl.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "indexed" amaranth/sim/_pyrtl.py<|"|>}<tool_call|><|tool_response>
Turn 7at 161 s39 tokens out12,099 prompt tokens
Maybe "index" or "Array".
TOOL CALL · run_command
{
"command": "grep -rn \"Array\" amaranth/sim/_pyrtl.py"
}Result of run_command 142 characters
{
"status": "ok",
"stdout": "220: def on_ArrayProxy(self, value):\n320: def on_ArrayProxy(self, value):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 39 tokens · stopped: STOP
Maybe "index" or "Array".
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "Array" amaranth/sim/_pyrtl.py<|"|>}<tool_call|><|tool_response>
Turn 8at 165 s77 tokens out12,208 prompt tokens
`on_ArrayProxy` looks interesting. Let's examine `amaranth/sim/_pyrtl.py` around line 220 and 320.
TOOL CALL · read_file
{
"end_line": 350,
"filepath": "amaranth/sim/_pyrtl.py",
"start_line": 200
}Result of read_file 6,721 characters
{
"status": "ok",
"filepath": "amaranth/sim/_pyrtl.py",
"content": " def on_Slice(self, value):\n return f\"({(1 << len(value)) - 1:#x} & ({self(value.value)} >> {value.start}))\"\n\n def on_Part(self, value):\n offset_mask = (1 << len(value.offset)) - 1\n offset = f\"({value.stride} * ({offset_mask:#x} & {self(value.offset)}))\"\n return f\"({(1 << value.width) - 1} & \" \\\n f\"{self(value.value)} >> {offset})\"\n\n def on_Cat(self, value):\n gen_parts = []\n offset = 0\n for part in value.parts:\n part_mask = (1 << len(part)) - 1\n gen_parts.append(f\"(({part_mask:#x} & {self(part)}) << {offset})\")\n offset += len(part)\n if gen_parts:\n return f\"({' | '.join(gen_parts)})\"\n return f\"0\"\n\n def on_ArrayProxy(self, value):\n index_mask = (1 << len(value.index)) - 1\n gen_index = self.emitter.def_var(\"rhs_index\", f\"{index_mask:#x} & {self(value.index)}\")\n gen_value = self.emitter.gen_var(\"rhs_proxy\")\n if value.elems:\n if _USE_PATTERN_MATCHING:\n self.emitter.append(f\"match {gen_index}:\")\n with self.emitter.indent():\n for index, elem in enumerate(value.elems):\n self.emitter.append(f\"case {index}:\")\n with self.emitter.indent():\n self.emitter.append(f\"{gen_value} = {self(elem)}\")\n self.emitter.append(\"case _:\")\n with self.emitter.indent():\n self.emitter.append(f\"{gen_value} = {self(value.elems[-1])}\")\n else:\n for index, elem in enumerate(value.elems):\n if index == 0:\n self.emitter.append(f\"if {index} == {gen_index}:\")\n else:\n self.emitter.append(f\"elif {index} == {gen_index}:\")\n with self.emitter.indent():\n self.emitter.append(f\"{gen_value} = {self(elem)}\")\n self.emitter.append(f\"else:\")\n with self.emitter.indent():\n self.emitter.append(f\"{gen_value} = {self(value.elems[-1])}\")\n\n return gen_value\n else:\n return f\"0\"\n\n @classmethod\n def compile(cls, state, value, *, mode):\n emitter = _PythonEmitter()\n compiler = cls(state, emitter, mode=mode)\n emitter.append(f\"result = {compiler(value)}\")\n return emitter.flush()\n\n\nclass _LHSValueCompiler(_ValueCompiler):\n def __init__(self, state, emitter, *, rhs, outputs=None):\n super().__init__(state, emitter)\n # `rrhs` is used to translate rvalues that are syntactically a part of an lvalue, e.g.\n # the offset of a Part.\n self.rrhs = rhs\n # `lrhs` is used to translate the read part of a read-modify-write cycle during partial\n # update of an lvalue.\n self.lrhs = _RHSValueCompiler(state, emitter, mode=\"next\", inputs=None)\n # If not None, `outputs` gets populated with signals on LHS.\n self.outputs = outputs\n\n def on_Const(self, value):\n raise TypeError # :nocov:\n\n def on_Signal(self, value):\n if self.outputs is not None:\n self.outputs.add(value)\n\n def gen(arg):\n value_mask = (1 << len(value)) - 1\n if value.shape().signed:\n value_sign = f\"sign({value_mask:#x} & {arg}, {-1 << (len(value) - 1)})\"\n else: # unsigned\n value_sign = f\"{value_mask:#x} & {arg}\"\n self.emitter.append(f\"next_{self.state.get_signal(value)} = {value_sign}\")\n return gen\n\n def on_Operator(self, value):\n if value.operator in (\"u\", \"s\"):\n return self(value.operands[0])\n raise TypeError # :nocov:\n\n def on_Slice(self, value):\n def gen(arg):\n width_mask = (1 << (value.stop - value.start)) - 1\n self(value.value)(f\"({self.lrhs(value.value)} & \" \\\n f\"{~(width_mask << value.start):#x} | \" \\\n f\"(({width_mask:#x} & {arg}) << {value.start}))\")\n return gen\n\n def on_Part(self, value):\n def gen(arg):\n width_mask = (1 << value.width) - 1\n offset_mask = (1 << len(value.offset)) - 1\n offset = f\"({value.stride} * ({offset_mask:#x} & {self.rrhs(value.offset)}))\"\n self(value.value)(f\"({self.lrhs(value.value)} & \" \\\n f\"~({width_mask:#x} << {offset}) | \" \\\n f\"(({width_mask:#x} & {arg}) << {offset}))\")\n return gen\n\n def on_Cat(self, value):\n def gen(arg):\n gen_arg = self.emitter.def_var(\"cat\", arg)\n offset = 0\n for part in value.parts:\n part_mask = (1 << len(part)) - 1\n self(part)(f\"({part_mask:#x} & ({gen_arg} >> {offset}))\")\n offset += len(part)\n return gen\n\n def on_ArrayProxy(self, value):\n def gen(arg):\n index_mask = (1 << len(value.index)) - 1\n gen_index = self.emitter.def_var(\"index\", f\"{self.rrhs(value.index)} & {index_mask:#x}\")\n if value.elems:\n if _USE_PATTERN_MATCHING:\n self.emitter.append(f\"match {gen_index}:\")\n with self.emitter.indent():\n for index, elem in enumerate(value.elems):\n self.emitter.append(f\"case {index}:\")\n with self.emitter.indent():\n self(elem)(arg)\n self.emitter.append(\"case _:\")\n with self.emitter.indent():\n self(value.elems[-1])(arg)\n else:\n for index, elem in enumerate(value.elems):\n if index == 0:\n self.emitter.append(f\"if {index} == {gen_index}:\")\n else:\n self.emitter.append(f\"elif {index} == {gen_index}:\")\n with self.emitter.indent():\n self(elem)(arg)\n self.emitter.append(f\"else:\")\n with self.emitter.indent():\n self(value.elems[-1])(arg)\n else:\n self.emitter.append(f\"pass\")\n return gen\n",
"start_line": 200,
"end_line": 349,
"total_lines": 481,
"is_truncated": true
}Generated tokens 77 tokens · stopped: STOP
`on_ArrayProxy` looks interesting. Let's examine `amaranth/sim/_pyrtl.py` around line 220 and 320.
<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/sim/_pyrtl.py<|"|>,start_line:200,end_line:350}<tool_call|><|tool_response>
Turn 9at 242 s1,423 tokens out14,261 prompt tokens
I see `on_ArrayProxy` in both `_RHSValueCompiler` and `_LHSValueCompiler`.
In `_RHSValueCompiler` (lines 220-319 in original file? I see it in the output):
```python
def on_ArrayProxy(self, value):
index_mask = (1 << len(value.index)) - 1
gen_index = self.emitter.def_var("rhs_index", f"{index_mask:#x} & {self(value.index)}")
gen_value = self.emitter.gen_var("rhs_proxy")
if value.elems:
if _USE_PATTERN_MATCHING:
# ...
else:
for index, elem in enumerate(value.elems):
if index == 0:
self.emitter.append(f"if {index} == {gen_index}:")
else:
self.emitter.append(f"elif {index} == {gen_index}:")
with self.emitter.indent():
self.emitter.append(f"{gen_value} = {self(elem)}")
self.emitter.append(f"else:")
with self.emitter.indent():
self.emitter.append(f"{gen_value} = {self(value.elems[-1])}")
return gen_value
else:
return f"0"
```
In `_LHSValueCompiler` (lines 320-348 in original file?):
```python
def on_ArrayProxy(self, value):
def gen(arg):
index_mask = (1 << len(value.index)) - 1
gen_index = self.emitter.def_var("index", f"{self.rrhs(value.index)} & {index_mask:#x}")
if value.elems:
if _USE_PATTERN_MATCHING:
self.emitter.append(f"match {gen_index}:")
with self.emitter.indent():
for index, elem in enumerate(value.elems):
self.emitter.append(f"case {index}:")
with self.emitter.indent():
self(elem)(arg)
self.emitter.append("case _:")
with self.emitter.indent():
self(value.elems[-1])(arg)
else:
for index, elem in enumerate(value.elems):
if index == 0:
self.emitter.append(f"if {index} == {gen_index}:")
else:
self.emitter.append(f"elif {index} == {gen_index}:")
with self.emitter.indent():
self(elem)(arg)
self.emitter.append(f"else:")
with self.emitter.indent():
self(value.elems[-1])(arg)
else:
self.emitter.append(f"pass")
return gen
```
Wait, looking at `_LHSValueCompiler.on_ArrayProxy`, if the index is out of bounds, it always updates the LAST element of the array:
```python
self.emitter.append(f"else:")
with self.emitter.indent():
self(value.elems[-1])(arg)
```
And similarly in `_RHSValueCompiler.on_ArrayProxy`:
```python
self.emitter.append(f"else:")
with self.emitter.indent():
self.emitter.append(f"{gen_value} = {self(value.elems[-1])}")
```
This is very suspicious! If the address is out of range, it accesses the last element. But in the reproduction case, the address is 1 or 2, and the memory depth is 8. So 1 and 2 are within range.
Wait, let's look at the reproduction again.
Memory depth = 8.
Addr 1 and 2 are within range.
Why did they get 14 when reading addr 1 after writing to addr 2?
Actually, they saw 14 at print 4.
Let's reproduce it first. I'll create a reproduction script.
TOOL CALL · write_file
{
"content": "\nfrom amaranth import Elaboratable, Module, Memory, Signal\nfrom amaranth.sim import TestCaseWithSimulator\n\nclass MemoryReproduce(TestCaseWithSimulator):\n class DUT(Elaboratable):\n def __init__(self):\n pass\n\n def elaborate(self, platform):\n m = Module()\n self.mem = Memory(width=8, depth=8)\n m.submodules.read_port = self.read_port = self.mem.read_port()\n m.submodules.write_port = self.write_port = self.mem.write_port()\n return m\n\n def test_minimal(self):\n m = self.DUT()\n\n def process():\n yield m.read_port.addr.eq(1)\n yield m.read_port.en.eq(1)\n yield\n print(f\"Print 1: {(yield m.read_port.data)}\")\n yield\n yield m.write_port.addr.eq(2)\n yield m.write_port.data.eq(14)\n yield m.write_port.en.eq(1)\n print(f\"Print 2: {(yield m.read_port.data)}\")\n yield\n yield m.write_port.en.eq(0)\n print(f\"Print 3: {(yield m.read_port.data)}\")\n yield\n print(f\"Print 4: {(yield m.read_port.data)}\")\n yield\n print(f\"Print 5: {(yield m.read_port.data)}\")\n\n with self.run_simulation(m) as sim:\n sim.add_sync_process(process)\n\nif __name__ == \"__main__\":\n # This is not quite right because it's a TestCaseWithSimulator.\n # I should use pytest.\n pass\n",
"filepath": "/tmp/repro.py"
}Result of write_file 136 characters
{
"status": "error",
"error_type": "FileWriteError",
"error_message": "Path traversal detected: '/tmp/repro.py' escapes workspace root."
}Generated tokens 1,423 tokens · stopped: STOP
I see `on_ArrayProxy` in both `_RHSValueCompiler` and `_LHSValueCompiler`.
In `_RHSValueCompiler` (lines 220-319 in original file? I see it in the output):
```python
def on_ArrayProxy(self, value):
index_mask = (1 << len(value.index)) - 1
gen_index = self.emitter.def_var("rhs_index", f"{index_mask:#x} & {self(value.index)}")
gen_value = self.emitter.gen_var("rhs_proxy")
if value.elems:
if _USE_PATTERN_MATCHING:
# ...
else:
for index, elem in enumerate(value.elems):
if index == 0:
self.emitter.append(f"if {index} == {gen_index}:")
else:
self.emitter.append(f"elif {index} == {gen_index}:")
with self.emitter.indent():
self.emitter.append(f"{gen_value} = {self(elem)}")
self.emitter.append(f"else:")
with self.emitter.indent():
self.emitter.append(f"{gen_value} = {self(value.elems[-1])}")
return gen_value
else:
return f"0"
```
In `_LHSValueCompiler` (lines 320-348 in original file?):
```python
def on_ArrayProxy(self, value):
def gen(arg):
index_mask = (1 << len(value.index)) - 1
gen_index = self.emitter.def_var("index", f"{self.rrhs(value.index)} & {index_mask:#x}")
if value.elems:
if _USE_PATTERN_MATCHING:
self.emitter.append(f"match {gen_index}:")
with self.emitter.indent():
for index, elem in enumerate(value.elems):
self.emitter.append(f"case {index}:")
with self.emitter.indent():
self(elem)(arg)
self.emitter.append("case _:")
with self.emitter.indent():
self(value.elems[-1])(arg)
else:
for index, elem in enumerate(value.elems):
if index == 0:
self.emitter.append(f"if {index} == {gen_index}:")
else:
self.emitter.append(f"elif {index} == {gen_index}:")
with self.emitter.indent():
self(elem)(arg)
self.emitter.append(f"else:")
with self.emitter.indent():
self(value.elems[-1])(arg)
else:
self.emitter.append(f"pass")
return gen
```
Wait, looking at `_LHSValueCompiler.on_ArrayProxy`, if the index is out of bounds, it always updates the LAST element of the array:
```python
self.emitter.append(f"else:")
with self.emitter.indent():
self(value.elems[-1])(arg)
```
And similarly in `_RHSValueCompiler.on_ArrayProxy`:
```python
self.emitter.append(f"else:")
with self.emitter.indent():
self.emitter.append(f"{gen_value} = {self(value.elems[-1])}")
```
This is very suspicious! If the address is out of range, it accesses the last element. But in the reproduction case, the address is 1 or 2, and the memory depth is 8. So 1 and 2 are within range.
Wait, let's look at the reproduction again.
Memory depth = 8.
Addr 1 and 2 are within range.
Why did they get 14 when reading addr 1 after writing to addr 2?
Actually, they saw 14 at print 4.
Let's reproduce it first. I'll create a reproduction script.
<channel|><|tool_call>call:write_file{content:<|"|>
from amaranth import Elaboratable, Module, Memory, Signal
from amaranth.sim import TestCaseWithSimulator
class MemoryReproduce(TestCaseWithSimulator):
class DUT(Elaboratable):
def __init__(self):
pass
def elaborate(self, platform):
m = Module()
self.mem = Memory(width=8, depth=8)
m.submodules.read_port = self.read_port = self.mem.read_port()
m.submodules.write_port = self.write_port = self.mem.write_port()
return m
def test_minimal(self):
m = self.DUT()
def process():
yield m.read_port.addr.eq(1)
yield m.read_port.en.eq(1)
yield
print(f"Print 1: {(yield m.read_port.data)}")
yield
yield m.write_port.addr.eq(2)
yield m.write_port.data.eq(14)
yield m.write_port.en.eq(1)
print(f"Print 2: {(yield m.read_port.data)}")
yield
yield m.write_port.en.eq(0)
print(f"Print 3: {(yield m.read_port.data)}")
yield
print(f"Print 4: {(yield m.read_port.data)}")
yield
print(f"Print 5: {(yield m.read_port.data)}")
with self.run_simulation(m) as sim:
sim.add_sync_process(process)
if __name__ == "__main__":
# This is not quite right because it's a TestCaseWithSimulator.
# I should use pytest.
pass
<|"|>,filepath:<|"|>/tmp/repro.py<|"|>}<tool_call|><|tool_response>
Turn 10at 279 s674 tokens out15,738 prompt tokens
Ah, I should write it to `/workspace/repro.py` or just run it via `python3 - <<'PY'`. Actually, I can't run `TestCaseWithSimulator` easily without the test environment. I'll look at existing tests to see how they run simulations. `tests/test_hdl_mem.py` might be a good place. Let's try to run the reproduction as a pytest test. I'll create a file `tests/repro_mem.py`. But wait, the rules say I shouldn't modify `tests/`. "Before running official verification, the grading harness strips and reverts all changes to tests/". But for reproduction, I can create a file in `/workspace`. Wait, `submit_patch` stages ALL untracked files. So I should use `python3 - <<'PY'` or be careful to `rm` it. But `TestCaseWithSimulator` is a complex class. Let's try to run a standalone script that uses the simulator.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom amaranth import Elaboratable, Module, Memory, Signal\nfrom amaranth.sim import Simulator\n\nclass DUT(Elaboratable):\n def __init__(self):\n self.mem = Memory(width=8, depth=8)\n self.read_port = None\n self.write_port = None\n\n def elaborate(self, platform):\n m = Module()\n self.read_port = self.mem.read_port()\n m.submodules.read_port = self.read_port\n self.write_port = self.mem.write_port()\n m.submodules.write_port = self.write_port\n return m\n\ndef process(m):\n # Cycle 1\n m.read_port.addr.eq(1)\n m.read_port.en.eq(1)\n yield\n # Cycle 2\n print(f\"Print 1: {m.read_port.data}\")\n yield\n # Cycle 3\n m.write_port.addr.eq(2)\n m.write_port.data.eq(14)\n m.write_port.en.eq(1)\n print(f\"Print 2: {m.read_port.data}\")\n yield\n # Cycle 4\n m.write_port.en.eq(0)\n print(f\"Print 3: {m.read_port.data}\")\n yield\n # Cycle 5\n print(f\"Print 4: {m.read_port.data}\")\n yield\n # Cycle 6\n print(f\"Print 5: {m.read_port.data}\")\n\ndut = DUT()\nsim = Simulator(dut)\nwith sim:\n sim.add_sync_process(lambda: process(dut))\nPY\n"
}Result of run_command 337 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 44, in <module>\nAttributeError: __enter__\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 44, in <module>\nAttributeError: __enter__\n",
"exit_code": 1
}
}Generated tokens 674 tokens · stopped: STOP
Ah, I should write it to `/workspace/repro.py` or just run it via `python3 - <<'PY'`.
Actually, I can't run `TestCaseWithSimulator` easily without the test environment.
I'll look at existing tests to see how they run simulations.
`tests/test_hdl_mem.py` might be a good place.
Let's try to run the reproduction as a pytest test.
I'll create a file `tests/repro_mem.py`. But wait, the rules say I shouldn't modify `tests/`.
"Before running official verification, the grading harness strips and reverts all changes to tests/".
But for reproduction, I can create a file in `/workspace`.
Wait, `submit_patch` stages ALL untracked files.
So I should use `python3 - <<'PY'` or be careful to `rm` it.
But `TestCaseWithSimulator` is a complex class.
Let's try to run a standalone script that uses the simulator.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from amaranth import Elaboratable, Module, Memory, Signal
from amaranth.sim import Simulator
class DUT(Elaboratable):
def __init__(self):
self.mem = Memory(width=8, depth=8)
self.read_port = None
self.write_port = None
def elaborate(self, platform):
m = Module()
self.read_port = self.mem.read_port()
m.submodules.read_port = self.read_port
self.write_port = self.mem.write_port()
m.submodules.write_port = self.write_port
return m
def process(m):
# Cycle 1
m.read_port.addr.eq(1)
m.read_port.en.eq(1)
yield
# Cycle 2
print(f"Print 1: {m.read_port.data}")
yield
# Cycle 3
m.write_port.addr.eq(2)
m.write_port.data.eq(14)
m.write_port.en.eq(1)
print(f"Print 2: {m.read_port.data}")
yield
# Cycle 4
m.write_port.en.eq(0)
print(f"Print 3: {m.read_port.data}")
yield
# Cycle 5
print(f"Print 4: {m.read_port.data}")
yield
# Cycle 6
print(f"Print 5: {m.read_port.data}")
dut = DUT()
sim = Simulator(dut)
with sim:
sim.add_sync_process(lambda: process(dut))
PY
<|"|>}<tool_call|><|tool_response>
Turn 11at 338 s139 tokens out6,529 prompt tokens
The `Simulator` object is not a context manager. I should use `sim.run()`. Wait, `amaranth.sim.Simulator` usage might have changed. Let's check `amaranth/sim/__init__.py` or `amaranth/sim/_pyrtl.py`. Actually, I'll just try to use `amaranth.sim.Sim` if it exists, or look at `tests/test_hdl_mem.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"Memory\" tests/test_hdl_mem.py | head -n 20"
}Result of run_command 1,176 characters
{
"status": "ok",
"stdout": "9:class MemoryTestCase(FHDLTestCase):\n11: m1 = Memory(width=8, depth=4)\n13: m2 = [Memory(width=8, depth=4)][0]\n15: m3 = Memory(width=8, depth=4, name=\"foo\")\n19: m = Memory(width=8, depth=4)\n25: r\"^Memory width must be a non-negative integer, not -1$\"):\n26: m = Memory(width=-1, depth=4)\n28: r\"^Memory depth must be a non-negative integer, not -1$\"):\n29: m = Memory(width=8, depth=-1)\n32: m = Memory(width=8, depth=4, init=range(4))\n37: r\"^Memory initialization value count exceed memory depth \\(8 > 4\\)$\"):\n38: m = Memory(width=8, depth=4, init=range(8))\n42: (r\"^Memory initialization value at address 1: \"\n44: m = Memory(width=8, depth=4, init=[1, \"0\"])\n47: m1 = Memory(width=8, depth=4)\n49: m2 = Memory(width=8, depth=4, attrs={\"ram_block\": True})\n53: mem = Memory(width=8, depth=4)\n65: mem = Memory(width=8, depth=4)\n75: mem = Memory(width=8, depth=4)\n85: mem = Memory(width=8, depth=4)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 139 tokens · stopped: STOP
The `Simulator` object is not a context manager. I should use `sim.run()`.
Wait, `amaranth.sim.Simulator` usage might have changed.
Let's check `amaranth/sim/__init__.py` or `amaranth/sim/_pyrtl.py`.
Actually, I'll just try to use `amaranth.sim.Sim` if it exists, or look at `tests/test_hdl_mem.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "Memory" tests/test_hdl_mem.py | head -n 20<|"|>}<tool_call|><|tool_response>
Turn 12at 341 s63 tokens out7,109 prompt tokens
I'll read `tests/test_hdl_mem.py` to see how they use the simulator.
TOOL CALL · read_file
{
"end_line": 200,
"filepath": "tests/test_hdl_mem.py",
"start_line": 1
}Result of read_file 5,859 characters
{
"status": "ok",
"filepath": "tests/test_hdl_mem.py",
"content": "# amaranth: UnusedElaboratable=no\n\nfrom amaranth.hdl.ast import *\nfrom amaranth.hdl.mem import *\n\nfrom .utils import *\n\n\nclass MemoryTestCase(FHDLTestCase):\n def test_name(self):\n m1 = Memory(width=8, depth=4)\n self.assertEqual(m1.name, \"m1\")\n m2 = [Memory(width=8, depth=4)][0]\n self.assertEqual(m2.name, \"$memory\")\n m3 = Memory(width=8, depth=4, name=\"foo\")\n self.assertEqual(m3.name, \"foo\")\n\n def test_geometry(self):\n m = Memory(width=8, depth=4)\n self.assertEqual(m.width, 8)\n self.assertEqual(m.depth, 4)\n\n def test_geometry_wrong(self):\n with self.assertRaisesRegex(TypeError,\n r\"^Memory width must be a non-negative integer, not -1$\"):\n m = Memory(width=-1, depth=4)\n with self.assertRaisesRegex(TypeError,\n r\"^Memory depth must be a non-negative integer, not -1$\"):\n m = Memory(width=8, depth=-1)\n\n def test_init(self):\n m = Memory(width=8, depth=4, init=range(4))\n self.assertEqual(m.init, [0, 1, 2, 3])\n\n def test_init_wrong_count(self):\n with self.assertRaisesRegex(ValueError,\n r\"^Memory initialization value count exceed memory depth \\(8 > 4\\)$\"):\n m = Memory(width=8, depth=4, init=range(8))\n\n def test_init_wrong_type(self):\n with self.assertRaisesRegex(TypeError,\n (r\"^Memory initialization value at address 1: \"\n r\"'str' object cannot be interpreted as an integer$\")):\n m = Memory(width=8, depth=4, init=[1, \"0\"])\n\n def test_attrs(self):\n m1 = Memory(width=8, depth=4)\n self.assertEqual(m1.attrs, {})\n m2 = Memory(width=8, depth=4, attrs={\"ram_block\": True})\n self.assertEqual(m2.attrs, {\"ram_block\": True})\n\n def test_read_port_transparent(self):\n mem = Memory(width=8, depth=4)\n rdport = mem.read_port()\n self.assertEqual(rdport.memory, mem)\n self.assertEqual(rdport.domain, \"sync\")\n self.assertEqual(rdport.transparent, True)\n self.assertEqual(len(rdport.addr), 2)\n self.assertEqual(len(rdport.data), 8)\n self.assertEqual(len(rdport.en), 1)\n self.assertIsInstance(rdport.en, Signal)\n self.assertEqual(rdport.en.reset, 1)\n\n def test_read_port_non_transparent(self):\n mem = Memory(width=8, depth=4)\n rdport = mem.read_port(transparent=False)\n self.assertEqual(rdport.memory, mem)\n self.assertEqual(rdport.domain, \"sync\")\n self.assertEqual(rdport.transparent, False)\n self.assertEqual(len(rdport.en), 1)\n self.assertIsInstance(rdport.en, Signal)\n self.assertEqual(rdport.en.reset, 1)\n\n def test_read_port_asynchronous(self):\n mem = Memory(width=8, depth=4)\n rdport = mem.read_port(domain=\"comb\")\n self.assertEqual(rdport.memory, mem)\n self.assertEqual(rdport.domain, \"comb\")\n self.assertEqual(rdport.transparent, True)\n self.assertEqual(len(rdport.en), 1)\n self.assertIsInstance(rdport.en, Const)\n self.assertEqual(rdport.en.value, 1)\n\n def test_read_port_wrong(self):\n mem = Memory(width=8, depth=4)\n with self.assertRaisesRegex(ValueError,\n r\"^Read port cannot be simultaneously asynchronous and non-transparent$\"):\n mem.read_port(domain=\"comb\", transparent=False)\n\n def test_write_port(self):\n mem = Memory(width=8, depth=4)\n wrport = mem.write_port()\n self.assertEqual(wrport.memory, mem)\n self.assertEqual(wrport.domain, \"sync\")\n self.assertEqual(wrport.granularity, 8)\n self.assertEqual(len(wrport.addr), 2)\n self.assertEqual(len(wrport.data), 8)\n self.assertEqual(len(wrport.en), 1)\n\n def test_write_port_granularity(self):\n mem = Memory(width=8, depth=4)\n wrport = mem.write_port(granularity=2)\n self.assertEqual(wrport.memory, mem)\n self.assertEqual(wrport.domain, \"sync\")\n self.assertEqual(wrport.granularity, 2)\n self.assertEqual(len(wrport.addr), 2)\n self.assertEqual(len(wrport.data), 8)\n self.assertEqual(len(wrport.en), 4)\n\n def test_write_port_granularity_wrong(self):\n mem = Memory(width=8, depth=4)\n with self.assertRaisesRegex(TypeError,\n r\"^Write port granularity must be a non-negative integer, not -1$\"):\n mem.write_port(granularity=-1)\n with self.assertRaisesRegex(ValueError,\n r\"^Write port granularity must not be greater than memory width \\(10 > 8\\)$\"):\n mem.write_port(granularity=10)\n with self.assertRaisesRegex(ValueError,\n r\"^Write port granularity must divide memory width evenly$\"):\n mem.write_port(granularity=3)\n\n\nclass DummyPortTestCase(FHDLTestCase):\n def test_name(self):\n p1 = DummyPort(data_width=8, addr_width=2)\n self.assertEqual(p1.addr.name, \"p1_addr\")\n p2 = [DummyPort(data_width=8, addr_width=2)][0]\n self.assertEqual(p2.addr.name, \"dummy_addr\")\n p3 = DummyPort(data_width=8, addr_width=2, name=\"foo\")\n self.assertEqual(p3.addr.name, \"foo_addr\")\n\n def test_sizes(self):\n p1 = DummyPort(data_width=8, addr_width=2)\n self.assertEqual(p1.addr.width, 2)\n self.assertEqual(p1.data.width, 8)\n self.assertEqual(p1.en.width, 1)\n p2 = DummyPort(data_width=8, addr_width=2, granularity=2)\n self.assertEqual(p2.en.width, 4)",
"start_line": 1,
"end_line": 138,
"total_lines": 138,
"is_truncated": false
}Generated tokens 63 tokens · stopped: STOP
I'll read `tests/test_hdl_mem.py` to see how they use the simulator.<channel|><|tool_call>call:read_file{end_line:200,filepath:<|"|>tests/test_hdl_mem.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 13at 348 s90 tokens out9,056 prompt tokens
`FHDLTestCase` seems to be a base class. Let's see where it is defined. `from .utils import *` in `tests/test_hdl_mem.py`. `tests/utils.py` probably defines `FHDLTestCase`. Let's check `tests/utils.py`.
TOOL CALL · read_file
{
"filepath": "tests/utils.py"
}Result of read_file 2,911 characters
{
"status": "ok",
"filepath": "tests/utils.py",
"content": "import os\nimport re\nimport shutil\nimport subprocess\nimport textwrap\nimport traceback\nimport unittest\n\nfrom amaranth.hdl.ast import *\nfrom amaranth.hdl.ir import *\nfrom amaranth.back import rtlil\nfrom amaranth._toolchain import require_tool\n\n\n__all__ = [\"FHDLTestCase\"]\n\n\nclass FHDLTestCase(unittest.TestCase):\n def assertRepr(self, obj, repr_str):\n if isinstance(obj, list):\n obj = Statement.cast(obj)\n def prepare_repr(repr_str):\n repr_str = re.sub(r\"\\s+\", \" \", repr_str)\n repr_str = re.sub(r\"\\( (?=\\()\", \"(\", repr_str)\n repr_str = re.sub(r\"\\) (?=\\))\", \")\", repr_str)\n return repr_str.strip()\n self.assertEqual(prepare_repr(repr(obj)), prepare_repr(repr_str))\n\n def assertFormal(self, spec, mode=\"bmc\", depth=1):\n stack = traceback.extract_stack()\n for frame in reversed(stack):\n if os.path.dirname(__file__) not in frame.filename:\n break\n caller = frame\n\n spec_root, _ = os.path.splitext(caller.filename)\n spec_dir = os.path.dirname(spec_root)\n spec_name = \"{}_{}\".format(\n os.path.basename(spec_root).replace(\"test_\", \"spec_\"),\n caller.name.replace(\"test_\", \"\")\n )\n\n # The sby -f switch seems not fully functional when sby is reading from stdin.\n if os.path.exists(os.path.join(spec_dir, spec_name)):\n shutil.rmtree(os.path.join(spec_dir, spec_name))\n\n if mode == \"hybrid\":\n # A mix of BMC and k-induction, as per personal communication with Claire Wolf.\n script = \"setattr -unset init w:* a:amaranth.sample_reg %d\"\n mode = \"bmc\"\n else:\n script = \"\"\n\n config = textwrap.dedent(\"\"\"\\\n [options]\n mode {mode}\n depth {depth}\n wait on\n multiclock on\n\n [engines]\n smtbmc\n\n [script]\n read_ilang top.il\n prep\n {script}\n\n [file top.il]\n {rtlil}\n \"\"\").format(\n mode=mode,\n depth=depth,\n script=script,\n rtlil=rtlil.convert_fragment(Fragment.get(spec, platform=\"formal\").prepare())[0]\n )\n with subprocess.Popen(\n [require_tool(\"sby\"), \"-f\", \"-d\", spec_name],\n cwd=spec_dir, env={**os.environ, \"PYTHONWARNINGS\":\"ignore\"},\n universal_newlines=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE) as proc:\n stdout, stderr = proc.communicate(config)\n if proc.returncode != 0:\n self.fail(\"Formal verification failed:\\n\" + stdout)",
"start_line": 1,
"end_line": 83,
"total_lines": 83,
"is_truncated": false
}Generated tokens 90 tokens · stopped: STOP
`FHDLTestCase` seems to be a base class. Let's see where it is defined.
`from .utils import *` in `tests/test_hdl_mem.py`.
`tests/utils.py` probably defines `FHDLTestCase`.
Let's check `tests/utils.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>tests/utils.py<|"|>}<tool_call|><|tool_response>
Turn 14at 354 s86 tokens out10,035 prompt tokens
`FHDLTestCase` is just a `unittest.TestCase`. It doesn't have a simulator. Wait, the user reported `Memory` simulation. Where is the simulator? Ah, `amaranth.sim`! Let's look at `amaranth/sim/__init__.py`.
TOOL CALL · read_file
{
"filepath": "amaranth/sim/__init__.py"
}Result of read_file 252 characters
{
"status": "ok",
"filepath": "amaranth/sim/__init__.py",
"content": "from .core import *\n\n\n__all__ = [\"Settle\", \"Delay\", \"Tick\", \"Passive\", \"Active\", \"Simulator\"]",
"start_line": 1,
"end_line": 4,
"total_lines": 4,
"is_truncated": false
}Generated tokens 86 tokens · stopped: STOP
`FHDLTestCase` is just a `unittest.TestCase`. It doesn't have a simulator.
Wait, the user reported `Memory` simulation. Where is the simulator?
Ah, `amaranth.sim`!
Let's look at `amaranth/sim/__init__.py`.<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/sim/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 15at 357 s38 tokens out10,226 prompt tokens
Let's check `amaranth/sim/core.py`.
TOOL CALL · read_file
{
"filepath": "amaranth/sim/core.py"
}Result of read_file 5,948 characters
{
"status": "ok",
"filepath": "amaranth/sim/core.py",
"content": "import inspect\nimport warnings\n\nfrom .._utils import deprecated\nfrom ..hdl.cd import *\nfrom ..hdl.ir import *\nfrom ._base import BaseEngine\n\n\n__all__ = [\"Settle\", \"Delay\", \"Tick\", \"Passive\", \"Active\", \"Simulator\"]\n\n\nclass Command:\n pass\n\n\nclass Settle(Command):\n def __repr__(self):\n return \"(settle)\"\n\n\nclass Delay(Command):\n def __init__(self, interval=None):\n self.interval = None if interval is None else float(interval)\n\n def __repr__(self):\n if self.interval is None:\n return \"(delay ε)\"\n else:\n return \"(delay {:.3}us)\".format(self.interval * 1e6)\n\n\nclass Tick(Command):\n def __init__(self, domain=\"sync\"):\n if not isinstance(domain, (str, ClockDomain)):\n raise TypeError(\"Domain must be a string or a ClockDomain instance, not {!r}\"\n .format(domain))\n assert domain != \"comb\"\n self.domain = domain\n\n def __repr__(self):\n return \"(tick {})\".format(self.domain)\n\n\nclass Passive(Command):\n def __repr__(self):\n return \"(passive)\"\n\n\nclass Active(Command):\n def __repr__(self):\n return \"(active)\"\n\n\nclass Simulator:\n def __init__(self, fragment, *, engine=\"pysim\"):\n if isinstance(engine, type) and issubclass(engine, BaseEngine):\n pass\n elif engine == \"pysim\":\n from .pysim import PySimEngine\n engine = PySimEngine\n else:\n raise TypeError(\"Value '{!r}' is not a simulation engine class or \"\n \"a simulation engine name\"\n .format(engine))\n\n self._fragment = Fragment.get(fragment, platform=None).prepare()\n self._engine = engine(self._fragment)\n self._clocked = set()\n\n def _check_process(self, process):\n if not (inspect.isgeneratorfunction(process) or inspect.iscoroutinefunction(process)):\n raise TypeError(\"Cannot add a process {!r} because it is not a generator function\"\n .format(process))\n return process\n\n def add_process(self, process):\n process = self._check_process(process)\n def wrapper():\n # Only start a bench process after comb settling, so that the reset values are correct.\n yield Settle()\n yield from process()\n self._engine.add_coroutine_process(wrapper, default_cmd=None)\n\n def add_sync_process(self, process, *, domain=\"sync\"):\n process = self._check_process(process)\n def wrapper():\n # Only start a sync process after the first clock edge (or reset edge, if the domain\n # uses an asynchronous reset). This matches the behavior of synchronous FFs.\n yield Tick(domain)\n yield from process()\n self._engine.add_coroutine_process(wrapper, default_cmd=Tick(domain))\n\n def add_clock(self, period, *, phase=None, domain=\"sync\", if_exists=False):\n \"\"\"Add a clock process.\n\n Adds a process that drives the clock signal of ``domain`` at a 50% duty cycle.\n\n Arguments\n ---------\n period : float\n Clock period. The process will toggle the ``domain`` clock signal every ``period / 2``\n seconds.\n phase : None or float\n Clock phase. The process will wait ``phase`` seconds before the first clock transition.\n If not specified, defaults to ``period / 2``.\n domain : str or ClockDomain\n Driven clock domain. If specified as a string, the domain with that name is looked up\n in the root fragment of the simulation.\n if_exists : bool\n If ``False`` (the default), raise an error if the driven domain is specified as\n a string and the root fragment does not have such a domain. If ``True``, do nothing\n in this case.\n \"\"\"\n if isinstance(domain, ClockDomain):\n if (domain.name in self._fragment.domains and\n domain is not self._fragment.domains[domain.name]):\n warnings.warn(\"Adding a clock process that drives a clock domain object \"\n \"named {!r}, which is distinct from an identically named domain \"\n \"in the simulated design\"\n .format(domain.name),\n UserWarning, stacklevel=2)\n elif domain in self._fragment.domains:\n domain = self._fragment.domains[domain]\n elif if_exists:\n return\n else:\n raise ValueError(\"Domain {!r} is not present in simulation\"\n .format(domain))\n if domain in self._clocked:\n raise ValueError(\"Domain {!r} already has a clock driving it\"\n .format(domain.name))\n \n # We represent times internally in 1 ps units, but users supply float quantities of seconds\n period = int(period * 1e12)\n\n if phase is None:\n # By default, delay the first edge by half period. This causes any synchronous activity\n # to happen at a non-zero time, distinguishing it from the reset values in the waveform\n # viewer.\n phase = period // 2\n else:\n phase = int(phase * 1e12) + period // 2\n self._engine.add_clock_process(domain.clk, phase=phase, period=period)\n self._clocked.add(domain)\n\n def reset(self):\n \"\"\"Reset the simulation.\n\n Assign the reset value to every signal in the simulation, and restart every user process.",
"start_line": 1,
"end_line": 150,
"total_lines": 215,
"is_truncated": true
}Generated tokens 38 tokens · stopped: STOP
Let's check `amaranth/sim/core.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/sim/core.py<|"|>}<tool_call|><|tool_response>
Turn 16at 364 s119 tokens out11,787 prompt tokens
Okay, `Simulator` has `add_sync_process` and `add_process`. It uses `self._engine = engine(self._fragment)`. The default engine is `PySimEngine`. Let's try to run the reproduction again with `sim.run()`. Wait, I didn't see `run()` in `Simulator`. I only saw the first 150 lines.
TOOL CALL · read_file
{
"filepath": "amaranth/sim/core.py",
"start_line": 151
}Result of read_file 2,862 characters
{
"status": "ok",
"filepath": "amaranth/sim/core.py",
"content": " \"\"\"\n self._engine.reset()\n\n def advance(self):\n \"\"\"Advance the simulation.\n\n Run every process and commit changes until a fixed point is reached, then advance time\n to the closest deadline (if any). If there is an unstable combinatorial loop,\n this function will never return.\n\n Returns ``True`` if there are any active processes, ``False`` otherwise.\n \"\"\"\n return self._engine.advance()\n\n def run(self):\n \"\"\"Run the simulation while any processes are active.\n\n Processes added with :meth:`add_process` and :meth:`add_sync_process` are initially active,\n and may change their status using the ``yield Passive()`` and ``yield Active()`` commands.\n Processes compiled from HDL and added with :meth:`add_clock` are always passive.\n \"\"\"\n while self.advance():\n pass\n\n def run_until(self, deadline, *, run_passive=False):\n \"\"\"Run the simulation until it advances to ``deadline``.\n\n If ``run_passive`` is ``False``, the simulation also stops when there are no active\n processes, similar to :meth:`run`. Otherwise, the simulation will stop only after it\n advances to or past ``deadline``.\n\n If the simulation stops advancing, this function will never return.\n \"\"\"\n # Convert deadline in seconds into internal 1 ps units\n deadline = deadline * 1e12\n assert self._engine.now <= deadline\n while (self.advance() or run_passive) and self._engine.now < deadline:\n pass\n\n def write_vcd(self, vcd_file, gtkw_file=None, *, traces=()):\n \"\"\"Write waveforms to a Value Change Dump file, optionally populating a GTKWave save file.\n\n This method returns a context manager. It can be used as: ::\n\n sim = Simulator(frag)\n sim.add_clock(1e-6)\n with sim.write_vcd(\"dump.vcd\", \"dump.gtkw\"):\n sim.run_until(1e-3)\n\n Arguments\n ---------\n vcd_file : str or file-like object\n Verilog Value Change Dump file or filename.\n gtkw_file : str or file-like object\n GTKWave save file or filename.\n traces : iterable of Signal\n Signals to display traces for.\n \"\"\"\n if self._engine.now != 0:\n for file in (vcd_file, gtkw_file):\n if hasattr(file, \"close\"):\n file.close()\n raise ValueError(\"Cannot start writing waveforms after advancing simulation time\")\n\n return self._engine.write_vcd(vcd_file=vcd_file, gtkw_file=gtkw_file, traces=traces)",
"start_line": 151,
"end_line": 215,
"total_lines": 215,
"is_truncated": false
}Generated tokens 119 tokens · stopped: STOP
Okay, `Simulator` has `add_sync_process` and `add_process`.
It uses `self._engine = engine(self._fragment)`.
The default engine is `PySimEngine`.
Let's try to run the reproduction again with `sim.run()`.
Wait, I didn't see `run()` in `Simulator`. I only saw the first 150 lines.
<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/sim/core.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 17at 387 s556 tokens out12,689 prompt tokens
Okay, so `sim.run()` is the way. Let me retry the reproduction script. I will use `sim.add_sync_process` and `sim.run()`. Since `run()` runs until all processes are passive, I need to use `yield Passive()` or just return from the generator.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom amaranth import Elaboratable, Module, Memory, Signal\nfrom amaranth.sim import Simulator\n\nclass DUT(Elaboratable):\n def __init__(self):\n self.mem = Memory(width=8, depth=8)\n self.read_port = None\n self.write_port = None\n\n def elaborate(self, platform):\n m = Module()\n self.read_port = self.mem.read_port()\n m.submodules.read_port = self.read_port\n self.write_port = self.mem.write_port()\n m.submodules.write_port = self.write_port\n return m\n\ndef process(dut):\n # Cycle 1: read addr 1.\n dut.read_port.addr.eq(1)\n dut.read_port.en.eq(1)\n yield\n # Cycle 2: read data from Cycle 1.\n print(f\"Print 1: {dut.read_port.data}\")\n yield\n # Cycle 3: write 14 to addr 2.\n dut.write_port.addr.eq(2)\n dut.write_port.data.eq(14)\n dut.write_port.en.eq(1)\n print(f\"Print 2: {dut.read_port.data}\")\n yield\n # Cycle 4: disable write.\n dut.write_port.en.eq(0)\n print(f\"Print 3: {dut.read_port.data}\")\n yield\n # Cycle 5:\n print(f\"Print 4: {dut.read_port.data}\")\n yield\n # Cycle 6:\n print(f\"Print 5: {dut.read_port.data}\")\n\ndut = DUT()\nsim = Simulator(dut)\nsim.add_clock(10\n)\nsim.add_sync_process(lambda: process(dut))\nsim.run()\nPY\n"
}Result of run_command 1,063 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 46, in <module>\n File \"/workspace/amaranth/sim/core.py\", line 86, in add_sync_process\n process = self._check_process(process)\n File \"/workspace/amaranth/sim/core.py\", line 73, in _check_process\n raise TypeError(\"Cannot add a process {!r} because it is not a generator function\"\nTypeError: Cannot add a process <function <lambda> at 0x7407a57d5cf0> because it is not a generator function\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 46, in <module>\n File \"/workspace/amaranth/sim/core.py\", line 86, in add_sync_process\n process = self._check_process(process)\n File \"/workspace/amaranth/sim/core.py\", line 73, in _check_process\n raise TypeError(\"Cannot add a process {!r} because it is not a generator function\"\nTypeError: Cannot add a process <function <lambda> at 0x7407a57d5cf0> because it is not a generator function\n",
"exit_code": 1
}
}Generated tokens 556 tokens · stopped: STOP
Okay, so `sim.run()` is the way. Let me retry the reproduction script.
I will use `sim.add_sync_process` and `sim.run()`.
Since `run()` runs until all processes are passive, I need to use `yield Passive()` or just return from the generator.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from amaranth import Elaboratable, Module, Memory, Signal
from amaranth.sim import Simulator
class DUT(Elaboratable):
def __init__(self):
self.mem = Memory(width=8, depth=8)
self.read_port = None
self.write_port = None
def elaborate(self, platform):
m = Module()
self.read_port = self.mem.read_port()
m.submodules.read_port = self.read_port
self.write_port = self.mem.write_port()
m.submodules.write_port = self.write_port
return m
def process(dut):
# Cycle 1: read addr 1.
dut.read_port.addr.eq(1)
dut.read_port.en.eq(1)
yield
# Cycle 2: read data from Cycle 1.
print(f"Print 1: {dut.read_port.data}")
yield
# Cycle 3: write 14 to addr 2.
dut.write_port.addr.eq(2)
dut.write_port.data.eq(14)
dut.write_port.en.eq(1)
print(f"Print 2: {dut.read_port.data}")
yield
# Cycle 4: disable write.
dut.write_port.en.eq(0)
print(f"Print 3: {dut.read_port.data}")
yield
# Cycle 5:
print(f"Print 4: {dut.read_port.data}")
yield
# Cycle 6:
print(f"Print 5: {dut.read_port.data}")
dut = DUT()
sim = Simulator(dut)
sim.add_clock(10
)
sim.add_sync_process(lambda: process(dut))
sim.run()
PY
<|"|>}<tool_call|><|tool_response>
Turn 18at 407 s524 tokens out13,602 prompt tokens
The error says the lambda is not a generator function. I should use a named function that contains `yield`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom amaranth import Elaboratable, Module, Memory, Signal\nfrom amaranth.sim import Simulator\n\nclass DUT(Elaboratable):\n def __init__(self):\n self.mem = Memory(width=8, depth=8)\n self.read_port = None\n self.write_port = None\n\n def elaborate(self, platform):\n m = Module()\n self.read_port = self.mem.read_port()\n m.submodules.read_port = self.read_port\n self.write_port = self.mem.write_port()\n m.submodules.write_port = self.write_port\n return m\n\ndef process():\n # Access the dut via the simulator or global\n dut = globals()['dut']\n # Cycle 1: read addr 1.\n dut.read_port.addr.eq(1)\n dut.read_port.en.eq(1)\n yield\n # Cycle 2: read data from Cycle 1.\n print(f\"Print 1: {dut.read_port.data}\")\n yield\n # Cycle 3: write 14 to addr 2.\n dut.write_port.addr.eq(2)\n dut.write_port.data.eq(14)\n dut.write_port.en.eq(1)\n print(f\"Print 2: {dut.read_port.data}\")\n yield\n # Cycle 4: disable write.\n dut.write_port.en.eq(0)\n print(f\"Print 3: {dut.read_port.data}\")\n yield\n # Cycle 5:\n print(f\"Print 4: {dut.read_port.data}\")\n yield\n # Cycle 6:\n print(f\"Print 5: {dut.read_port.data}\")\n\ndut = DUT()\nsim = Simulator(dut)\nsim.add_clock(10)\nsim.add_sync_process(process)\nsim.run()\nPY\n"
}Result of run_command 195 characters
{
"status": "ok",
"stdout": "Print 1: (sig mem_r_data)\nPrint 2: (sig mem_r_data)\nPrint 3: (sig mem_r_data)\nPrint 4: (sig mem_r_data)\nPrint 5: (sig mem_r_data)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 524 tokens · stopped: STOP
The error says the lambda is not a generator function. I should use a named function that contains `yield`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from amaranth import Elaboratable, Module, Memory, Signal
from amaranth.sim import Simulator
class DUT(Elaboratable):
def __init__(self):
self.mem = Memory(width=8, depth=8)
self.read_port = None
self.write_port = None
def elaborate(self, platform):
m = Module()
self.read_port = self.mem.read_port()
m.submodules.read_port = self.read_port
self.write_port = self.mem.write_port()
m.submodules.write_port = self.write_port
return m
def process():
# Access the dut via the simulator or global
dut = globals()['dut']
# Cycle 1: read addr 1.
dut.read_port.addr.eq(1)
dut.read_port.en.eq(1)
yield
# Cycle 2: read data from Cycle 1.
print(f"Print 1: {dut.read_port.data}")
yield
# Cycle 3: write 14 to addr 2.
dut.write_port.addr.eq(2)
dut.write_port.data.eq(14)
dut.write_port.en.eq(1)
print(f"Print 2: {dut.read_port.data}")
yield
# Cycle 4: disable write.
dut.write_port.en.eq(0)
print(f"Print 3: {dut.read_port.data}")
yield
# Cycle 5:
print(f"Print 4: {dut.read_port.data}")
yield
# Cycle 6:
print(f"Print 5: {dut.read_port.data}")
dut = DUT()
sim = Simulator(dut)
sim.add_clock(10)
sim.add_sync_process(process)
sim.run()
PY
<|"|>}<tool_call|><|tool_response>
Turn 19at 430 s288 tokens out14,229 prompt tokens
Wait, the output is printing `(sig mem_r_data)`, not the value of the signal.
I need to use `yield` to get the value of the signal, or use `sim.get_signal_value` if it exists.
In `amaranth` simulations, you usually use `yield` on the signal to get its value during the simulation.
Wait, the `process` function is a generator. When I do `print(f"Print 1: {dut.read_port.data}")`, I'm printing the signal object, not its value.
I should do `val = yield dut.read_port.data`.
Wait, `Amaranth` simulation `yield` on a signal might not be how it works.
Let's check `amaranth/sim/core.py` again.
No, `Simulator` doesn't seem to handle `yield signal`.
It's more likely that I should use `sim.get_signal_value` if it's available, or the `PySimEngine` should handle it.
Wait, `PySimEngine` is where the actual simulation happens. Let's look at `amaranth/sim/pysim.py`.
TOOL CALL · read_file
{
"filepath": "amaranth/sim/pysim.py"
}Result of read_file 5,823 characters
{
"status": "ok",
"filepath": "amaranth/sim/pysim.py",
"content": "from contextlib import contextmanager\nimport itertools\nimport re\nfrom vcd import VCDWriter\nfrom vcd.gtkw import GTKWSave\n\nfrom ..hdl import *\nfrom ..hdl.ast import SignalDict\nfrom ._base import *\nfrom ._pyrtl import _FragmentCompiler\nfrom ._pycoro import PyCoroProcess\nfrom ._pyclock import PyClockProcess\n\n\n__all__ = [\"PySimEngine\"]\n\n\nclass _NameExtractor:\n def __init__(self):\n self.names = SignalDict()\n\n def __call__(self, fragment, *, hierarchy=(\"bench\", \"top\",)):\n def add_signal_name(signal):\n hierarchical_signal_name = (*hierarchy, signal.name)\n if signal not in self.names:\n self.names[signal] = {hierarchical_signal_name}\n else:\n self.names[signal].add(hierarchical_signal_name)\n\n for domain_name, domain_signals in fragment.drivers.items():\n if domain_name is not None:\n domain = fragment.domains[domain_name]\n add_signal_name(domain.clk)\n if domain.rst is not None:\n add_signal_name(domain.rst)\n\n for statement in fragment.statements:\n for signal in statement._lhs_signals() | statement._rhs_signals():\n if not isinstance(signal, (ClockSignal, ResetSignal)):\n add_signal_name(signal)\n\n for subfragment_index, (subfragment, subfragment_name) in enumerate(fragment.subfragments):\n if subfragment_name is None:\n subfragment_name = \"U${}\".format(subfragment_index)\n self(subfragment, hierarchy=(*hierarchy, subfragment_name))\n\n return self.names\n\n\nclass _VCDWriter:\n @staticmethod\n def decode_to_vcd(signal, value):\n return signal.decoder(value).expandtabs().replace(\" \", \"_\")\n\n def __init__(self, fragment, *, vcd_file, gtkw_file=None, traces=()):\n if isinstance(vcd_file, str):\n vcd_file = open(vcd_file, \"wt\")\n if isinstance(gtkw_file, str):\n gtkw_file = open(gtkw_file, \"wt\")\n\n self.vcd_vars = SignalDict()\n self.vcd_file = vcd_file\n self.vcd_writer = vcd_file and VCDWriter(self.vcd_file,\n timescale=\"1 ps\", comment=\"Generated by Amaranth\")\n\n self.gtkw_names = SignalDict()\n self.gtkw_file = gtkw_file\n self.gtkw_save = gtkw_file and GTKWSave(self.gtkw_file)\n\n self.traces = []\n\n signal_names = _NameExtractor()(fragment)\n\n trace_names = SignalDict()\n for trace in traces:\n if trace not in signal_names:\n trace_names[trace] = {('bench', trace.name)}\n self.traces.append(trace)\n\n if self.vcd_writer is None:\n return\n\n for signal, names in itertools.chain(signal_names.items(), trace_names.items()):\n if signal.decoder:\n var_type = \"string\"\n var_size = 1\n var_init = self.decode_to_vcd(signal, signal.reset)\n else:\n var_type = \"wire\"\n var_size = signal.width\n var_init = signal.reset\n\n for (*var_scope, var_name) in names:\n if re.search(r\"[ \\t\\r\\n]\", var_name):\n raise NameError(\"Signal '{}.{}' contains a whitespace character\"\n .format(\".\".join(var_scope), var_name))\n\n suffix = None\n while True:\n try:\n if suffix is None:\n var_name_suffix = var_name\n else:\n var_name_suffix = \"{}${}\".format(var_name, suffix)\n if signal not in self.vcd_vars:\n vcd_var = self.vcd_writer.register_var(\n scope=var_scope, name=var_name_suffix,\n var_type=var_type, size=var_size, init=var_init)\n self.vcd_vars[signal] = vcd_var\n else:\n self.vcd_writer.register_alias(\n scope=var_scope, name=var_name_suffix,\n var=self.vcd_vars[signal])\n break\n except KeyError:\n suffix = (suffix or 0) + 1\n\n if signal not in self.gtkw_names:\n self.gtkw_names[signal] = (*var_scope, var_name_suffix)\n\n def update(self, timestamp, signal, value):\n vcd_var = self.vcd_vars.get(signal)\n if vcd_var is None:\n return\n\n if signal.decoder:\n var_value = self.decode_to_vcd(signal, value)\n else:\n var_value = value\n self.vcd_writer.change(vcd_var, timestamp, var_value)\n\n def close(self, timestamp):\n if self.vcd_writer is not None:\n self.vcd_writer.close(timestamp)\n\n if self.gtkw_save is not None:\n self.gtkw_save.dumpfile(self.vcd_file.name)\n self.gtkw_save.dumpfile_size(self.vcd_file.tell())\n\n self.gtkw_save.treeopen(\"top\")\n for signal in self.traces:\n if len(signal) > 1 and not signal.decoder:\n suffix = \"[{}:0]\".format(len(signal) - 1)\n else:\n suffix = \"\"\n self.gtkw_save.trace(\".\".join(self.gtkw_names[signal]) + suffix)\n\n if self.vcd_file is not None:\n self.vcd_file.close()\n if self.gtkw_file is not None:",
"start_line": 1,
"end_line": 150,
"total_lines": 336,
"is_truncated": true
}Generated tokens 288 tokens · stopped: STOP
Wait, the output is printing `(sig mem_r_data)`, not the value of the signal.
I need to use `yield` to get the value of the signal, or use `sim.get_signal_value` if it exists.
In `amaranth` simulations, you usually use `yield` on the signal to get its value during the simulation.
Wait, the `process` function is a generator. When I do `print(f"Print 1: {dut.read_port.data}")`, I'm printing the signal object, not its value.
I should do `val = yield dut.read_port.data`.
Wait, `Amaranth` simulation `yield` on a signal might not be how it works.
Let's check `amaranth/sim/core.py` again.
No, `Simulator` doesn't seem to handle `yield signal`.
It's more likely that I should use `sim.get_signal_value` if it's available, or the `PySimEngine` should handle it.
Wait, `PySimEngine` is where the actual simulation happens. Let's look at `amaranth/sim/pysim.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/sim/pysim.py<|"|>}<tool_call|><|tool_response>
Turn 20at 435 s58 tokens out16,184 prompt tokens
`PySimEngine` is defined in `pysim.py` as well. Let's see it.
TOOL CALL · read_file
{
"filepath": "amaranth/sim/pysim.py",
"start_line": 151
}Result of read_file 5,087 characters
{
"status": "ok",
"filepath": "amaranth/sim/pysim.py",
"content": " self.gtkw_file.close()\n\n\nclass _Timeline:\n def __init__(self):\n self.now = 0\n self.deadlines = dict()\n\n def reset(self):\n self.now = 0\n self.deadlines.clear()\n\n def at(self, run_at, process):\n assert process not in self.deadlines\n self.deadlines[process] = run_at\n\n def delay(self, delay_by, process):\n if delay_by is None:\n run_at = self.now\n else:\n run_at = self.now + delay_by\n self.at(run_at, process)\n\n def advance(self):\n nearest_processes = set()\n nearest_deadline = None\n for process, deadline in self.deadlines.items():\n if deadline is None:\n if nearest_deadline is not None:\n nearest_processes.clear()\n nearest_processes.add(process)\n nearest_deadline = self.now\n break\n elif nearest_deadline is None or deadline <= nearest_deadline:\n assert deadline >= self.now\n if nearest_deadline is not None and deadline < nearest_deadline:\n nearest_processes.clear()\n nearest_processes.add(process)\n nearest_deadline = deadline\n\n if not nearest_processes:\n return False\n\n for process in nearest_processes:\n process.runnable = True\n del self.deadlines[process]\n self.now = nearest_deadline\n\n return True\n\n\nclass _PySignalState(BaseSignalState):\n __slots__ = (\"signal\", \"curr\", \"next\", \"waiters\", \"pending\")\n\n def __init__(self, signal, pending):\n self.signal = signal\n self.pending = pending\n self.waiters = dict()\n self.curr = self.next = signal.reset\n\n def set(self, value):\n if self.next == value:\n return\n self.next = value\n self.pending.add(self)\n\n def commit(self):\n if self.curr == self.next:\n return False\n self.curr = self.next\n\n awoken_any = False\n for process, trigger in self.waiters.items():\n if trigger is None or trigger == self.curr:\n process.runnable = awoken_any = True\n return awoken_any\n\n\nclass _PySimulation(BaseSimulation):\n def __init__(self):\n self.timeline = _Timeline()\n self.signals = SignalDict()\n self.slots = []\n self.pending = set()\n\n def reset(self):\n self.timeline.reset()\n for signal, index in self.signals.items():\n self.slots[index].curr = self.slots[index].next = signal.reset\n self.pending.clear()\n\n def get_signal(self, signal):\n try:\n return self.signals[signal]\n except KeyError:\n index = len(self.slots)\n self.slots.append(_PySignalState(signal, self.pending))\n self.signals[signal] = index\n return index\n\n def add_trigger(self, process, signal, *, trigger=None):\n index = self.get_signal(signal)\n assert (process not in self.slots[index].waiters or\n self.slots[index].waiters[process] == trigger)\n self.slots[index].waiters[process] = trigger\n\n def remove_trigger(self, process, signal):\n index = self.get_signal(signal)\n assert process in self.slots[index].waiters\n del self.slots[index].waiters[process]\n\n def wait_interval(self, process, interval):\n self.timeline.delay(interval, process)\n\n def commit(self, changed=None):\n converged = True\n for signal_state in self.pending:\n if signal_state.commit():\n converged = False\n if changed is not None:\n changed.update(self.pending)\n self.pending.clear()\n return converged\n\n\nclass PySimEngine(BaseEngine):\n def __init__(self, fragment):\n self._state = _PySimulation()\n self._timeline = self._state.timeline\n\n self._fragment = fragment\n self._processes = _FragmentCompiler(self._state)(self._fragment)\n self._vcd_writers = []\n\n def add_coroutine_process(self, process, *, default_cmd):\n self._processes.add(PyCoroProcess(self._state, self._fragment.domains, process,\n default_cmd=default_cmd))\n\n def add_clock_process(self, clock, *, phase, period):\n self._processes.add(PyClockProcess(self._state, clock,\n phase=phase, period=period))\n\n def reset(self):\n self._state.reset()\n for process in self._processes:\n process.reset()\n\n def _step(self):\n changed = set() if self._vcd_writers else None\n",
"start_line": 151,
"end_line": 300,
"total_lines": 336,
"is_truncated": true,
"budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 58 tokens · stopped: STOP
`PySimEngine` is defined in `pysim.py` as well. Let's see it.
<channel|><|tool_call>call:read_file{filepath:<|"|>amaranth/sim/pysim.py<|"|>,start_line:151}<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 amaranth-lang/amaranth.
[ 80.4s] 💭 (4338 chars) "The user is reporting an issue with `Memory` simulation in Amaranth.
Specifically, writing to one address in memory seem..."
[ 80.4s] 🔧 run_command grep -rn --include="*.py" "class Memory" .
[ 80.4s] → ./amaranth/hdl/mem.py:12:class Memory(Elaboratable):
[ 86.8s] 💭 (133 chars) "`amaranth/hdl/mem.py` defines `Memory`.
Let's see how `Memory` is handled in simulation.
I'll search for "Memory" in `am..."
[ 86.8s] 🔧 run_command grep -rn "Memory" amaranth/sim/
[ 86.9s] → error (exit 0):
[ 99.8s] 💭 (322 chars) "Wait, `grep` returned error? Ah, maybe no match if I search for "Memory" in `amaranth/sim/`
if it's not explicitly menti..."
[ 99.8s] 📖 read_file (amaranth/hdl/mem.py)
[ 99.8s] ✓ {'status': 'ok', 'filepath': 'amaranth/hdl/mem.py', 'content': 'import operator\nfrom collections import
OrderedDict\n\n…
[ 113.4s] 💭 (479 chars) "I see `Memory` class in `amaranth/hdl/mem.py`.
It has `_array` which is used for simulation:
```python
# Array o..."
[ 113.4s] 📖 read_file (amaranth/hdl/mem.py)
[ 113.5s] ✓ {'status': 'ok', 'filepath': 'amaranth/hdl/mem.py', 'content': 'import operator\nfrom collections import
OrderedDict\n\n…
[ 126.1s] 💭 (494 chars) "Wait, I called `read_file` with `start_line=151` but I got the same content as before (lines
1-150).
Ah, the tool might ..."
[ 126.1s] 📖 read_file (amaranth/hdl/mem.py)
[ 126.2s] ✓ {'status': 'ok', 'filepath': 'amaranth/hdl/mem.py', 'content': ' p_RD_ARST_VALUE=Const(0,
len(self._read_port…
[ 157.0s] 💭 (1845 chars) "I'm reading `amaranth/hdl/mem.py`.
The `elaborate` method of `Memory` defines how it's simulated.
For a synchronous read..."
[ 157.0s] 🔧 run_command grep -rn "indexed" amaranth/sim/_pyrtl.py
[ 157.0s] → error (exit 0):
[ 160.5s] 💭 (25 chars) "Maybe "index" or "Array"."
[ 160.5s] 🔧 run_command grep -rn "Array" amaranth/sim/_pyrtl.py
[ 160.6s] → 220: def on_ArrayProxy(self, value):
[ 164.8s] 💭 (98 chars) "`on_ArrayProxy` looks interesting. Let's examine `amaranth/sim/_pyrtl.py` around line 220 and
320."
[ 164.8s] 📖 read_file (amaranth/sim/_pyrtl.py)
[ 164.8s] ✓ {'status': 'ok', 'filepath': 'amaranth/sim/_pyrtl.py', 'content': ' def on_Slice(self, value):\n
return f"({(1…
[ 241.5s] 💭 (3635 chars) "I see `on_ArrayProxy` in both `_RHSValueCompiler` and `_LHSValueCompiler`.
In `_RHSValueCompiler` (lines 220-319 in ori..."
[ 241.5s] 📝 write_file (/tmp/repro.py, 44 lines)
[ 241.5s] ❌ {'status': 'error', 'error_type': 'FileWriteError', 'error_message': "Path traversal detected:
'/tmp/repro.py' escapes w…
[ 278.6s] 💭 (805 chars) "Ah, I should write it to `/workspace/repro.py` or just run it via `python3 - <<'PY'`.
Actually, I can't run `TestCaseWit..."
[ 278.6s] 🔧 run_command (47 lines) python3 - <<'PY'
[ 278.8s] → error (exit 0):
[ 338.0s] 💭 (300 chars) "The `Simulator` object is not a context manager. I should use `sim.run()`.
Wait, `amaranth.sim.Simulator` usage might ha..."
[ 338.0s] 🔧 run_command grep -rn "Memory" tests/test_hdl_mem.py | head -n 20
[ 338.0s] → 9:class MemoryTestCase(FHDLTestCase):
[ 340.6s] 💭 (68 chars) "I'll read `tests/test_hdl_mem.py` to see how they use the simulator."
[ 340.6s] 📖 read_file (tests/test_hdl_mem.py)
[ 340.7s] ✓ {'status': 'ok', 'filepath': 'tests/test_hdl_mem.py', 'content': '# amaranth:
UnusedElaboratable=no\n\nfrom amaranth.hdl…
[ 347.9s] 💭 (203 chars) "`FHDLTestCase` seems to be a base class. Let's see where it is defined.
`from .utils import *` in `tests/test_hdl_mem.py..."
[ 347.9s] 📖 read_file (tests/utils.py)
[ 348.0s] ✓ {'status': 'ok', 'filepath': 'tests/utils.py', 'content': 'import os\nimport re\nimport shutil\nimport
subprocess\nimpor…
[ 353.9s] 💭 (205 chars) "`FHDLTestCase` is just a `unittest.TestCase`. It doesn't have a simulator.
Wait, the user reported `Memory` simulation. ..."
[ 353.9s] 📖 read_file (amaranth/sim/__init__.py)
[ 353.9s] ✓ {'status': 'ok', 'filepath': 'amaranth/sim/__init__.py', 'content': 'from .core import *\n\n\n__all__ =
["Settle", "Dela…
[ 356.9s] 💭 (35 chars) "Let's check `amaranth/sim/core.py`."
[ 356.9s] 📖 read_file (amaranth/sim/core.py)
[ 357.0s] ✓ {'status': 'ok', 'filepath': 'amaranth/sim/core.py', 'content': 'import inspect\nimport warnings\n\nfrom
.._utils import…
[ 363.9s] 💭 (279 chars) "Okay, `Simulator` has `add_sync_process` and `add_process`.
It uses `self._engine = engine(self._fragment)`.
The default..."
[ 363.9s] 📖 read_file (amaranth/sim/core.py)
[ 363.9s] ✓ {'status': 'ok', 'filepath': 'amaranth/sim/core.py', 'content': ' """\n
self._engine.reset()\n\n def ad…
[ 386.3s] 💭 (240 chars) "Okay, so `sim.run()` is the way. Let me retry the reproduction script.
I will use `sim.add_sync_process` and `sim.run()`..."
[ 386.3s] 🔧 run_command (49 lines) python3 - <<'PY'
[ 386.4s] → error (exit 0):
[ 406.2s] 💭 (107 chars) "The error says the lambda is not a generator function. I should use a named function that
contains `yield`."
[ 406.2s] 🔧 run_command (50 lines) python3 - <<'PY'
[ 406.3s] → Print 1: (sig mem_r_data)
[ 430.0s] 💭 (860 chars) "Wait, the output is printing `(sig mem_r_data)`, not the value of the signal.
I need to use `yield` to get the value of ..."
[ 430.0s] 📖 read_file (amaranth/sim/pysim.py)
[ 430.1s] ✓ {'status': 'ok', 'filepath': 'amaranth/sim/pysim.py', 'content': 'from contextlib import
contextmanager\nimport itertool…
[ 434.5s] 💭 (61 chars) "`PySimEngine` is defined in `pysim.py` as well. Let's see it."
[ 434.5s] 📖 read_file (amaranth/sim/pysim.py)
[ 434.5s] ✓ {'status': 'ok', 'filepath': 'amaranth/sim/pysim.py', 'content': '
self.gtkw_file.close()\n\n\nclass _Timelin…
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 452.75,
"error": "Empty agent patch",
"grade": {
"error": "Empty agent patch",
"resolved": false,
"strict_clean_patch": false,
"test_exit_code": -1
},
"instance_id": "amaranth-lang__amaranth-923",
"pass_idx": 0,
"patch_chars": 0,
"phase1_seconds": 452.74,
"repo": "amaranth-lang/amaranth",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/amaranth-lang__amaranth-923__p0__r6.jsonl",
"resolved": false,
"rollout_idx": 6,
"run_key": "amaranth-lang__amaranth-923__p0__r6",
"strict_clean_patch": false,
"tool_calls": 20,
"total_llm_calls": 20,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_amaranth-lang__amaranth-923__p0__r6.json"
}