mirror of
https://github.com/ggml-org/llama.cpp.git
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db288b60cb
* fix command r7b normal response regex + add to server test * test multiline non-tool-call responses in test-chat
419 lines
22 KiB
Python
419 lines
22 KiB
Python
import pytest
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from utils import *
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server: ServerProcess
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TIMEOUT_SERVER_START = 15*60
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TIMEOUT_HTTP_REQUEST = 60
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@pytest.fixture(autouse=True)
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def create_server():
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global server
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server = ServerPreset.tinyllama2()
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server.model_alias = "tinyllama-2-tool-call"
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server.server_port = 8081
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TEST_TOOL = {
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"type":"function",
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"function": {
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"name": "test",
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"description": "",
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"parameters": {
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"type": "object",
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"properties": {
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"success": {"type": "boolean", "const": True},
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},
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"required": ["success"]
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}
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}
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}
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PYTHON_TOOL = {
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"type": "function",
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"function": {
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"name": "python",
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"description": "Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
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"parameters": {
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"type": "object",
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"properties": {
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"code": {
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"type": "string",
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"description": "The code to run in the ipython interpreter."
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}
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},
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"required": ["code"]
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}
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}
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}
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WEATHER_TOOL = {
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"type":"function",
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"function":{
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"name":"get_current_weather",
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"description":"Get the current weather in a given location",
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"parameters":{
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"type":"object",
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"properties":{
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"location":{
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"type":"string",
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"description":"The city and country/state, e.g. 'San Francisco, CA', or 'Paris, France'"
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}
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},
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"required":["location"]
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}
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}
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}
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def do_test_completion_with_required_tool_tiny(template_name: str, tool: dict, argument_key: str | None):
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global server
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n_predict = 512
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# server = ServerPreset.stories15m_moe()
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server.jinja = True
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server.n_predict = n_predict
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server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
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server.start(timeout_seconds=TIMEOUT_SERVER_START)
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res = server.make_request("POST", "/chat/completions", data={
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"max_tokens": n_predict,
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"messages": [
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{"role": "system", "content": "You are a coding assistant."},
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{"role": "user", "content": "Write an example"},
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],
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"tool_choice": "required",
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"tools": [tool],
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"parallel_tool_calls": False,
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"temperature": 0.0,
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"top_k": 1,
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"top_p": 1.0,
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})
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assert res.status_code == 200, f"Expected status code 200, got {res.status_code}"
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choice = res.body["choices"][0]
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tool_calls = choice["message"].get("tool_calls")
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assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
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tool_call = tool_calls[0]
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expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"]
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assert expected_function_name == tool_call["function"]["name"]
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actual_arguments = tool_call["function"]["arguments"]
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assert isinstance(actual_arguments, str)
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if argument_key is not None:
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actual_arguments = json.loads(actual_arguments)
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assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}"
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@pytest.mark.parametrize("template_name,tool,argument_key", [
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("google-gemma-2-2b-it", TEST_TOOL, "success"),
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("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"),
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("meta-llama-Llama-3.3-70B-Instruct", PYTHON_TOOL, "code"),
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])
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def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None):
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do_test_completion_with_required_tool_tiny(template_name, tool, argument_key)
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@pytest.mark.slow
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@pytest.mark.parametrize("template_name,tool,argument_key", [
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("meta-llama-Llama-3.1-8B-Instruct", TEST_TOOL, "success"),
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("meta-llama-Llama-3.1-8B-Instruct", PYTHON_TOOL, "code"),
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("meetkai-functionary-medium-v3.1", TEST_TOOL, "success"),
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("meetkai-functionary-medium-v3.1", PYTHON_TOOL, "code"),
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("meetkai-functionary-medium-v3.2", TEST_TOOL, "success"),
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("meetkai-functionary-medium-v3.2", PYTHON_TOOL, "code"),
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("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL, "success"),
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("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL, "code"),
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("meta-llama-Llama-3.2-3B-Instruct", TEST_TOOL, "success"),
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("meta-llama-Llama-3.2-3B-Instruct", PYTHON_TOOL, "code"),
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("mistralai-Mistral-Nemo-Instruct-2407", TEST_TOOL, "success"),
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("mistralai-Mistral-Nemo-Instruct-2407", PYTHON_TOOL, "code"),
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("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", TEST_TOOL, "success"),
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("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", PYTHON_TOOL, "code"),
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("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", TEST_TOOL, "success"),
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("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", PYTHON_TOOL, "code"),
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("fireworks-ai-llama-3-firefunction-v2", TEST_TOOL, "success"),
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("fireworks-ai-llama-3-firefunction-v2", PYTHON_TOOL, "code"),
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])
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def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None):
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do_test_completion_with_required_tool_tiny(template_name, tool, argument_key)
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@pytest.mark.slow
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@pytest.mark.parametrize("tool,argument_key,hf_repo,template_override", [
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(TEST_TOOL, "success", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
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# Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it.
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(TEST_TOOL, "success", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None),
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(TEST_TOOL, "success", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"),
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(TEST_TOOL, "success", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"),
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(TEST_TOOL, "success", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
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(PYTHON_TOOL, "code", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
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(PYTHON_TOOL, "code", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"),
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(TEST_TOOL, "success", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
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(PYTHON_TOOL, "code", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
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(PYTHON_TOOL, "code", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"),
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(TEST_TOOL, "success", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
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(PYTHON_TOOL, "code", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
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(TEST_TOOL, "success", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", ("meetkai/functionary-medium-v3.2", None)),
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(PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", ("meetkai/functionary-medium-v3.2", None)),
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(PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", "chatml"),
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(TEST_TOOL, "success", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
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(PYTHON_TOOL, "code", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
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(PYTHON_TOOL, "code", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"),
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(TEST_TOOL, "success", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
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(PYTHON_TOOL, "code", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
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(PYTHON_TOOL, "code", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", "chatml"),
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# TODO: fix these
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# (TEST_TOOL, "success", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
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# (PYTHON_TOOL, "code", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
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])
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def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None):
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global server
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n_predict = 512
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server.n_slots = 1
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server.jinja = True
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server.n_ctx = 8192
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server.n_predict = n_predict
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server.model_hf_repo = hf_repo
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server.model_hf_file = None
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if isinstance(template_override, tuple):
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(template_hf_repo, template_variant) = template_override
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server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
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assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
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elif isinstance(template_override, str):
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server.chat_template = template_override
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server.start(timeout_seconds=TIMEOUT_SERVER_START)
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res = server.make_request("POST", "/chat/completions", data={
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"max_tokens": n_predict,
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"messages": [
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{"role": "system", "content": "You are a coding assistant."},
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{"role": "user", "content": "Write an example"},
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],
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"tool_choice": "required",
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"tools": [tool],
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"parallel_tool_calls": False,
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"temperature": 0.0,
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"top_k": 1,
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"top_p": 1.0,
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}, timeout=TIMEOUT_HTTP_REQUEST)
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assert res.status_code == 200, f"Expected status code 200, got {res.status_code}"
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choice = res.body["choices"][0]
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tool_calls = choice["message"].get("tool_calls")
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assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
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tool_call = tool_calls[0]
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expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"]
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assert expected_function_name == tool_call["function"]["name"]
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actual_arguments = tool_call["function"]["arguments"]
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assert isinstance(actual_arguments, str)
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if argument_key is not None:
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actual_arguments = json.loads(actual_arguments)
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assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}"
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def do_test_completion_without_tool_call(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None):
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global server
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server.jinja = True
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server.n_predict = n_predict
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server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
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server.start(timeout_seconds=TIMEOUT_SERVER_START)
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res = server.make_request("POST", "/chat/completions", data={
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"max_tokens": n_predict,
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"messages": [
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{"role": "system", "content": "You are a coding assistant."},
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{"role": "user", "content": "say hello world with python"},
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],
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"tools": tools if tools else None,
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"tool_choice": tool_choice,
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"temperature": 0.0,
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"top_k": 1,
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"top_p": 1.0,
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}, timeout=TIMEOUT_HTTP_REQUEST)
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assert res.status_code == 200, f"Expected status code 200, got {res.status_code}"
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choice = res.body["choices"][0]
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assert choice["message"].get("tool_calls") is None, f'Expected no tool call in {choice["message"]}'
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@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [
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("meta-llama-Llama-3.3-70B-Instruct", 128, [], None),
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("meta-llama-Llama-3.3-70B-Instruct", 128, [TEST_TOOL], None),
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("meta-llama-Llama-3.3-70B-Instruct", 128, [PYTHON_TOOL], 'none'),
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])
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def test_completion_without_tool_call_fast(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None):
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do_test_completion_without_tool_call(template_name, n_predict, tools, tool_choice)
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@pytest.mark.slow
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@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [
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("meetkai-functionary-medium-v3.2", 256, [], None),
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("meetkai-functionary-medium-v3.2", 256, [TEST_TOOL], None),
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("meetkai-functionary-medium-v3.2", 256, [PYTHON_TOOL], 'none'),
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("meetkai-functionary-medium-v3.1", 256, [], None),
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("meetkai-functionary-medium-v3.1", 256, [TEST_TOOL], None),
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("meetkai-functionary-medium-v3.1", 256, [PYTHON_TOOL], 'none'),
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("meta-llama-Llama-3.2-3B-Instruct", 256, [], None),
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("meta-llama-Llama-3.2-3B-Instruct", 256, [TEST_TOOL], None),
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("meta-llama-Llama-3.2-3B-Instruct", 256, [PYTHON_TOOL], 'none'),
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])
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def test_completion_without_tool_call_slow(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None):
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do_test_completion_without_tool_call(template_name, n_predict, tools, tool_choice)
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@pytest.mark.slow
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@pytest.mark.parametrize("hf_repo,template_override", [
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("bartowski/c4ai-command-r7b-12-2024-GGUF:Q4_K_M", ("CohereForAI/c4ai-command-r7b-12-2024", "tool_use")),
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("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
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("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
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("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None),
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("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"),
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("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None),
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("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"),
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("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
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("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"),
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("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
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("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"),
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("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
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("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
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("bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)),
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("bartowski/functionary-small-v3.2-GGUF:Q8_0", "chatml"),
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("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
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("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"),
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# Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it.
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("bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None),
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# ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
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# ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
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])
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def test_weather(hf_repo: str, template_override: Tuple[str, str | None] | None):
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global server
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n_predict = 512
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server.n_slots = 1
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server.jinja = True
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server.n_ctx = 8192
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server.n_predict = n_predict
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server.model_hf_repo = hf_repo
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server.model_hf_file = None
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if isinstance(template_override, tuple):
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(template_hf_repo, template_variant) = template_override
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server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
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assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
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elif isinstance(template_override, str):
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server.chat_template = template_override
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server.start(timeout_seconds=TIMEOUT_SERVER_START)
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res = server.make_request("POST", "/chat/completions", data={
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"max_tokens": n_predict,
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"messages": [
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{"role": "user", "content": "What is the weather in Istanbul?"},
|
|
],
|
|
"tools": [WEATHER_TOOL],
|
|
}, timeout=TIMEOUT_HTTP_REQUEST)
|
|
assert res.status_code == 200, f"Expected status code 200, got {res.status_code}"
|
|
choice = res.body["choices"][0]
|
|
tool_calls = choice["message"].get("tool_calls")
|
|
assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
|
|
tool_call = tool_calls[0]
|
|
assert tool_call["function"]["name"] == WEATHER_TOOL["function"]["name"]
|
|
actual_arguments = json.loads(tool_call["function"]["arguments"])
|
|
assert 'location' in actual_arguments, f"location not found in {json.dumps(actual_arguments)}"
|
|
location = actual_arguments["location"]
|
|
assert isinstance(location, str), f"Expected location to be a string, got {type(location)}: {json.dumps(location)}"
|
|
assert re.match('^Istanbul(, (TR|Turkey|Türkiye))?$', location), f'Expected Istanbul for location, got {location}'
|
|
|
|
|
|
@pytest.mark.slow
|
|
@pytest.mark.parametrize("expected_arguments_override,hf_repo,template_override", [
|
|
(None, "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None),
|
|
(None, "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"),
|
|
|
|
(None, "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai-functionary-medium-v3.2", None)),
|
|
(None, "bartowski/functionary-small-v3.2-GGUF:Q8_0", "chatml"),
|
|
|
|
(None, "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
|
|
('{"code":"print("}', "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
|
|
|
|
('{"code":"print("}', "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)),
|
|
(None, "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", "chatml"),
|
|
|
|
('{"code":"print("}', "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)),
|
|
('{"code":"print("}', "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"),
|
|
|
|
(None, "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None),
|
|
(None, "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"),
|
|
|
|
(None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
|
|
(None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"),
|
|
|
|
(None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")),
|
|
(None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"),
|
|
|
|
(None, "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
|
|
(None, "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
|
|
|
|
# Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it.
|
|
(None, "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None),
|
|
|
|
# (None, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
|
|
])
|
|
def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None):
|
|
global server
|
|
server.n_slots = 1
|
|
server.jinja = True
|
|
server.n_ctx = 8192
|
|
server.n_predict = 128
|
|
server.model_hf_repo = hf_repo
|
|
server.model_hf_file = None
|
|
if isinstance(template_override, tuple):
|
|
(template_hf_repo, template_variant) = template_override
|
|
server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
|
|
assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
|
|
elif isinstance(template_override, str):
|
|
server.chat_template = template_override
|
|
server.start(timeout_seconds=TIMEOUT_SERVER_START)
|
|
res = server.make_request("POST", "/chat/completions", data={
|
|
"max_tokens": 256,
|
|
"messages": [
|
|
{"role": "system", "content": "You are a coding assistant."},
|
|
{"role": "user", "content": "say hello world with python"},
|
|
],
|
|
"tools": [PYTHON_TOOL],
|
|
# Note: without these greedy params, Functionary v3.2 writes `def hello_world():\n print("Hello, World!")\nhello_world()` which is correct but a pain to test.
|
|
"temperature": 0.0,
|
|
"top_k": 1,
|
|
"top_p": 1.0,
|
|
}, timeout=TIMEOUT_HTTP_REQUEST)
|
|
assert res.status_code == 200, f"Expected status code 200, got {res.status_code}"
|
|
choice = res.body["choices"][0]
|
|
tool_calls = choice["message"].get("tool_calls")
|
|
assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
|
|
tool_call = tool_calls[0]
|
|
assert tool_call["function"]["name"] == PYTHON_TOOL["function"]["name"]
|
|
actual_arguments = tool_call["function"]["arguments"]
|
|
if expected_arguments_override is not None:
|
|
assert actual_arguments == expected_arguments_override
|
|
else:
|
|
actual_arguments = json.loads(actual_arguments)
|
|
assert 'code' in actual_arguments, f"code not found in {json.dumps(actual_arguments)}"
|
|
code = actual_arguments["code"]
|
|
assert isinstance(code, str), f"Expected code to be a string, got {type(code)}: {json.dumps(code)}"
|
|
assert re.match(r'''print\(("[Hh]ello,? [Ww]orld!?"|'[Hh]ello,? [Ww]orld!?')\)''', code), f'Expected hello world, got {code}'
|