pytest fixes
This commit is contained in:
@@ -12,6 +12,7 @@ from axolotl.cli.utils import (
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add_options_from_dataclass,
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build_command,
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fetch_from_github,
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filter_none_kwargs,
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)
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from axolotl.common.cli import EvaluateCliArgs, PreprocessCliArgs, TrainerCliArgs
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from axolotl.utils import set_pytorch_cuda_alloc_conf
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@@ -28,6 +29,7 @@ def cli():
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@click.argument("config", type=click.Path(exists=True, path_type=str))
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@add_options_from_dataclass(PreprocessCliArgs)
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@add_options_from_config(AxolotlInputConfig)
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@filter_none_kwargs
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def preprocess(config: str, **kwargs) -> None:
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"""
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Preprocess datasets before training.
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@@ -37,8 +39,6 @@ def preprocess(config: str, **kwargs) -> None:
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kwargs: Additional keyword arguments which correspond to CLI args or `axolotl`
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config options.
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"""
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kwargs = {k: v for k, v in kwargs.items() if v is not None}
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from axolotl.cli.preprocess import do_cli
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do_cli(config=config, **kwargs)
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@@ -53,6 +53,7 @@ def preprocess(config: str, **kwargs) -> None:
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)
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@add_options_from_dataclass(TrainerCliArgs)
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@add_options_from_config(AxolotlInputConfig)
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@filter_none_kwargs
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def train(config: str, accelerate: bool, **kwargs) -> None:
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"""
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Train or fine-tune a model.
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@@ -63,8 +64,6 @@ def train(config: str, accelerate: bool, **kwargs) -> None:
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kwargs: Additional keyword arguments which correspond to CLI args or `axolotl`
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config options.
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"""
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kwargs = {k: v for k, v in kwargs.items() if v is not None}
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# Enable expandable segments for cuda allocation to improve VRAM usage
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set_pytorch_cuda_alloc_conf()
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@@ -89,6 +88,7 @@ def train(config: str, accelerate: bool, **kwargs) -> None:
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)
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@add_options_from_dataclass(EvaluateCliArgs)
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@add_options_from_config(AxolotlInputConfig)
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@filter_none_kwargs
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def evaluate(config: str, accelerate: bool, **kwargs) -> None:
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"""
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Evaluate a model.
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@@ -99,8 +99,6 @@ def evaluate(config: str, accelerate: bool, **kwargs) -> None:
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kwargs: Additional keyword arguments which correspond to CLI args or `axolotl`
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config options.
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"""
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kwargs = {k: v for k, v in kwargs.items() if v is not None}
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if accelerate:
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base_cmd = ["accelerate", "launch", "-m", "axolotl.cli.evaluate"]
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if config:
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@@ -123,6 +121,7 @@ def evaluate(config: str, accelerate: bool, **kwargs) -> None:
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@click.option("--gradio", is_flag=True, help="Launch Gradio interface")
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@add_options_from_dataclass(TrainerCliArgs)
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@add_options_from_config(AxolotlInputConfig)
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@filter_none_kwargs
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def inference(config: str, accelerate: bool, gradio: bool, **kwargs) -> None:
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"""
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Run inference with a trained model.
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@@ -157,6 +156,7 @@ def inference(config: str, accelerate: bool, gradio: bool, **kwargs) -> None:
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)
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@add_options_from_dataclass(TrainerCliArgs)
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@add_options_from_config(AxolotlInputConfig)
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@filter_none_kwargs
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def merge_sharded_fsdp_weights(config: str, accelerate: bool, **kwargs) -> None:
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"""
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Merge sharded FSDP model weights.
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@@ -167,8 +167,6 @@ def merge_sharded_fsdp_weights(config: str, accelerate: bool, **kwargs) -> None:
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kwargs: Additional keyword arguments which correspond to CLI args or `axolotl`
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config options.
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"""
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kwargs = {k: v for k, v in kwargs.items() if v is not None}
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if accelerate:
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base_cmd = [
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"accelerate",
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@@ -190,6 +188,7 @@ def merge_sharded_fsdp_weights(config: str, accelerate: bool, **kwargs) -> None:
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@click.argument("config", type=click.Path(exists=True, path_type=str))
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@add_options_from_dataclass(TrainerCliArgs)
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@add_options_from_config(AxolotlInputConfig)
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@filter_none_kwargs
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def merge_lora(config: str, **kwargs) -> None:
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"""
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Merge trained LoRA adapters into a base model.
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@@ -200,8 +199,6 @@ def merge_lora(config: str, **kwargs) -> None:
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kwargs: Additional keyword arguments which correspond to CLI args or `axolotl`
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config options.
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"""
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kwargs = {k: v for k, v in kwargs.items() if v is not None}
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from axolotl.cli.merge_lora import do_cli
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do_cli(config=config, **kwargs)
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@@ -5,6 +5,7 @@ import dataclasses
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import hashlib
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import json
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import logging
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from functools import wraps
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from pathlib import Path
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from types import NoneType
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from typing import Any, Dict, List, Optional, Tuple, Type, Union, get_args, get_origin
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@@ -16,6 +17,26 @@ from pydantic import BaseModel
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LOG = logging.getLogger(__name__)
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def filter_none_kwargs(func):
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"""
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Wraps function to remove `None`-valued `kwargs`.
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Args:
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func: Function to wrap.
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Returns:
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Wrapped function.
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"""
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@wraps(func)
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def wrapper(*args, **kwargs):
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"""Filters out `None`-valued `kwargs`."""
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filtered_kwargs = {k: v for k, v in kwargs.items() if v is not None}
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return func(*args, **filtered_kwargs)
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return wrapper
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def add_options_from_dataclass(config_class: Type[Any]):
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"""
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Create Click options from the fields of a dataclass.
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@@ -1,4 +1,5 @@
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"""Shared pytest fixtures for cli module."""
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import pytest
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from click.testing import CliRunner
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@@ -1,4 +1,5 @@
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"""pytest tests for axolotl CLI fetch command."""
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from unittest.mock import patch
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from axolotl.cli.main import fetch
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@@ -1,4 +1,5 @@
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"""pytest tests for axolotl CLI inference command."""
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from unittest.mock import patch
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from axolotl.cli.main import cli
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@@ -1,4 +1,5 @@
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"""General pytest tests for axolotl.cli.main interface."""
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from axolotl.cli.main import build_command, cli
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@@ -1,4 +1,5 @@
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"""pytest tests for axolotl CLI merge_lora command."""
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from unittest.mock import patch
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from axolotl.cli.main import cli
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@@ -1,5 +1,6 @@
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"""pytest tests for axolotl CLI merge_sharded_fsdp_weights command."""
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# pylint: disable=duplicate-code
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from unittest.mock import patch
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from axolotl.cli.main import cli
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@@ -15,46 +16,3 @@ def test_merge_sharded_fsdp_weights_no_accelerate(cli_runner, config_path):
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assert mock.called
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assert mock.call_args.kwargs["config"] == str(config_path)
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assert result.exit_code == 0
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def test_merge_sharded_fsdp_weights_with_model_dir(cli_runner, config_path, tmp_path):
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"""Test merge_sharded_fsdp_weights command with model_dir option"""
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model_dir = tmp_path / "model"
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model_dir.mkdir()
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with patch("axolotl.cli.merge_sharded_fsdp_weights.do_cli") as mock:
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result = cli_runner.invoke(
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cli,
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[
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"merge-sharded-fsdp-weights",
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str(config_path),
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"--no-accelerate",
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"--model-dir",
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str(model_dir),
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],
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)
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assert mock.called
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assert mock.call_args.kwargs["config"] == str(config_path)
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assert mock.call_args.kwargs["model_dir"] == str(model_dir)
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assert result.exit_code == 0
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def test_merge_sharded_fsdp_weights_with_save_path(cli_runner, config_path):
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"""Test merge_sharded_fsdp_weights command with save_path option"""
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with patch("axolotl.cli.merge_sharded_fsdp_weights.do_cli") as mock:
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result = cli_runner.invoke(
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cli,
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[
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"merge-sharded-fsdp-weights",
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str(config_path),
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"--no-accelerate",
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"--save-path",
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"/path/to/save",
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],
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)
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assert mock.called
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assert mock.call_args.kwargs["config"] == str(config_path)
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assert mock.call_args.kwargs["save_path"] == "/path/to/save"
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assert result.exit_code == 0
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@@ -1,4 +1,5 @@
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"""pytest tests for axolotl CLI preprocess command."""
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import shutil
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from pathlib import Path
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from unittest.mock import patch
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@@ -1,4 +1,5 @@
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"""pytest tests for axolotl CLI --version"""
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from axolotl.cli.main import cli
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@@ -1,5 +1,6 @@
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"""pytest tests for axolotl CLI utils."""
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# pylint: disable=redefined-outer-name
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import json
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from unittest.mock import Mock, patch
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