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import argparse |
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import json |
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import os |
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import sys |
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import tempfile |
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import unittest |
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from argparse import Namespace |
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from dataclasses import dataclass, field |
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from enum import Enum |
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from pathlib import Path |
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from typing import Dict, List, Literal, Optional, Union, get_args, get_origin |
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import yaml |
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from transformers import HfArgumentParser, TrainingArguments |
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from transformers.hf_argparser import make_choice_type_function, string_to_bool |
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from transformers.testing_utils import require_torch |
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from transformers.training_args import _VALID_DICT_FIELDS |
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is_python_no_less_than_3_10 = sys.version_info >= (3, 10) |
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def list_field(default=None, metadata=None): |
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return field(default_factory=lambda: default, metadata=metadata) |
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@dataclass |
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class BasicExample: |
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foo: int |
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bar: float |
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baz: str |
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flag: bool |
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@dataclass |
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class WithDefaultExample: |
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foo: int = 42 |
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baz: str = field(default="toto", metadata={"help": "help message"}) |
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@dataclass |
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class WithDefaultBoolExample: |
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foo: bool = False |
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baz: bool = True |
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opt: Optional[bool] = None |
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class BasicEnum(Enum): |
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titi = "titi" |
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toto = "toto" |
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class MixedTypeEnum(Enum): |
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titi = "titi" |
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toto = "toto" |
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fourtytwo = 42 |
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@dataclass |
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class EnumExample: |
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foo: BasicEnum = "toto" |
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def __post_init__(self): |
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self.foo = BasicEnum(self.foo) |
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@dataclass |
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class MixedTypeEnumExample: |
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foo: MixedTypeEnum = "toto" |
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def __post_init__(self): |
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self.foo = MixedTypeEnum(self.foo) |
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@dataclass |
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class OptionalExample: |
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foo: Optional[int] = None |
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bar: Optional[float] = field(default=None, metadata={"help": "help message"}) |
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baz: Optional[str] = None |
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ces: Optional[List[str]] = list_field(default=[]) |
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des: Optional[List[int]] = list_field(default=[]) |
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@dataclass |
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class ListExample: |
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foo_int: List[int] = list_field(default=[]) |
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bar_int: List[int] = list_field(default=[1, 2, 3]) |
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foo_str: List[str] = list_field(default=["Hallo", "Bonjour", "Hello"]) |
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foo_float: List[float] = list_field(default=[0.1, 0.2, 0.3]) |
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@dataclass |
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class RequiredExample: |
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required_list: List[int] = field() |
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required_str: str = field() |
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required_enum: BasicEnum = field() |
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def __post_init__(self): |
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self.required_enum = BasicEnum(self.required_enum) |
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@dataclass |
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class StringLiteralAnnotationExample: |
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foo: int |
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required_enum: "BasicEnum" = field() |
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opt: "Optional[bool]" = None |
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baz: "str" = field(default="toto", metadata={"help": "help message"}) |
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foo_str: "List[str]" = list_field(default=["Hallo", "Bonjour", "Hello"]) |
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if is_python_no_less_than_3_10: |
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@dataclass |
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class WithDefaultBoolExamplePep604: |
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foo: bool = False |
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baz: bool = True |
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opt: bool | None = None |
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@dataclass |
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class OptionalExamplePep604: |
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foo: int | None = None |
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bar: float | None = field(default=None, metadata={"help": "help message"}) |
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baz: str | None = None |
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ces: list[str] | None = list_field(default=[]) |
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des: list[int] | None = list_field(default=[]) |
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class HfArgumentParserTest(unittest.TestCase): |
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def argparsersEqual(self, a: argparse.ArgumentParser, b: argparse.ArgumentParser): |
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""" |
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Small helper to check pseudo-equality of parsed arguments on `ArgumentParser` instances. |
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""" |
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self.assertEqual(len(a._actions), len(b._actions)) |
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for x, y in zip(a._actions, b._actions): |
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xx = {k: v for k, v in vars(x).items() if k != "container"} |
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yy = {k: v for k, v in vars(y).items() if k != "container"} |
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if xx.get("choices", None) and yy.get("choices", None): |
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for expected_choice in yy["choices"] + xx["choices"]: |
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self.assertEqual(xx["type"](expected_choice), yy["type"](expected_choice)) |
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del xx["type"], yy["type"] |
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self.assertEqual(xx, yy) |
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def test_basic(self): |
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parser = HfArgumentParser(BasicExample) |
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expected = argparse.ArgumentParser() |
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expected.add_argument("--foo", type=int, required=True) |
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expected.add_argument("--bar", type=float, required=True) |
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expected.add_argument("--baz", type=str, required=True) |
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expected.add_argument("--flag", type=string_to_bool, default=False, const=True, nargs="?") |
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self.argparsersEqual(parser, expected) |
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args = ["--foo", "1", "--baz", "quux", "--bar", "0.5"] |
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(example,) = parser.parse_args_into_dataclasses(args, look_for_args_file=False) |
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self.assertFalse(example.flag) |
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def test_with_default(self): |
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parser = HfArgumentParser(WithDefaultExample) |
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expected = argparse.ArgumentParser() |
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expected.add_argument("--foo", default=42, type=int) |
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expected.add_argument("--baz", default="toto", type=str, help="help message") |
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self.argparsersEqual(parser, expected) |
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def test_with_default_bool(self): |
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expected = argparse.ArgumentParser() |
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expected.add_argument("--foo", type=string_to_bool, default=False, const=True, nargs="?") |
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expected.add_argument("--baz", type=string_to_bool, default=True, const=True, nargs="?") |
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expected.add_argument("--no_baz", action="store_false", default=False, dest="baz") |
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expected.add_argument("--opt", type=string_to_bool, default=None) |
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dataclass_types = [WithDefaultBoolExample] |
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if is_python_no_less_than_3_10: |
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dataclass_types.append(WithDefaultBoolExamplePep604) |
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for dataclass_type in dataclass_types: |
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parser = HfArgumentParser(dataclass_type) |
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self.argparsersEqual(parser, expected) |
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args = parser.parse_args([]) |
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self.assertEqual(args, Namespace(foo=False, baz=True, opt=None)) |
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args = parser.parse_args(["--foo", "--no_baz"]) |
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self.assertEqual(args, Namespace(foo=True, baz=False, opt=None)) |
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args = parser.parse_args(["--foo", "--baz"]) |
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self.assertEqual(args, Namespace(foo=True, baz=True, opt=None)) |
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args = parser.parse_args(["--foo", "True", "--baz", "True", "--opt", "True"]) |
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self.assertEqual(args, Namespace(foo=True, baz=True, opt=True)) |
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args = parser.parse_args(["--foo", "False", "--baz", "False", "--opt", "False"]) |
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self.assertEqual(args, Namespace(foo=False, baz=False, opt=False)) |
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def test_with_enum(self): |
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parser = HfArgumentParser(MixedTypeEnumExample) |
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expected = argparse.ArgumentParser() |
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expected.add_argument( |
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"--foo", |
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default="toto", |
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choices=["titi", "toto", 42], |
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type=make_choice_type_function(["titi", "toto", 42]), |
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) |
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self.argparsersEqual(parser, expected) |
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args = parser.parse_args([]) |
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self.assertEqual(args.foo, "toto") |
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enum_ex = parser.parse_args_into_dataclasses([])[0] |
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self.assertEqual(enum_ex.foo, MixedTypeEnum.toto) |
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args = parser.parse_args(["--foo", "titi"]) |
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self.assertEqual(args.foo, "titi") |
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enum_ex = parser.parse_args_into_dataclasses(["--foo", "titi"])[0] |
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self.assertEqual(enum_ex.foo, MixedTypeEnum.titi) |
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args = parser.parse_args(["--foo", "42"]) |
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self.assertEqual(args.foo, 42) |
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enum_ex = parser.parse_args_into_dataclasses(["--foo", "42"])[0] |
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self.assertEqual(enum_ex.foo, MixedTypeEnum.fourtytwo) |
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def test_with_literal(self): |
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@dataclass |
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class LiteralExample: |
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foo: Literal["titi", "toto", 42] = "toto" |
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parser = HfArgumentParser(LiteralExample) |
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expected = argparse.ArgumentParser() |
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expected.add_argument( |
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"--foo", |
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default="toto", |
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choices=("titi", "toto", 42), |
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type=make_choice_type_function(["titi", "toto", 42]), |
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) |
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self.argparsersEqual(parser, expected) |
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args = parser.parse_args([]) |
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self.assertEqual(args.foo, "toto") |
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args = parser.parse_args(["--foo", "titi"]) |
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self.assertEqual(args.foo, "titi") |
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args = parser.parse_args(["--foo", "42"]) |
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self.assertEqual(args.foo, 42) |
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def test_with_list(self): |
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parser = HfArgumentParser(ListExample) |
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expected = argparse.ArgumentParser() |
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expected.add_argument("--foo_int", nargs="+", default=[], type=int) |
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expected.add_argument("--bar_int", nargs="+", default=[1, 2, 3], type=int) |
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expected.add_argument("--foo_str", nargs="+", default=["Hallo", "Bonjour", "Hello"], type=str) |
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expected.add_argument("--foo_float", nargs="+", default=[0.1, 0.2, 0.3], type=float) |
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self.argparsersEqual(parser, expected) |
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args = parser.parse_args([]) |
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self.assertEqual( |
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args, |
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Namespace(foo_int=[], bar_int=[1, 2, 3], foo_str=["Hallo", "Bonjour", "Hello"], foo_float=[0.1, 0.2, 0.3]), |
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) |
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args = parser.parse_args("--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7".split()) |
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self.assertEqual(args, Namespace(foo_int=[1], bar_int=[2, 3], foo_str=["a", "b", "c"], foo_float=[0.1, 0.7])) |
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def test_with_optional(self): |
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expected = argparse.ArgumentParser() |
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expected.add_argument("--foo", default=None, type=int) |
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expected.add_argument("--bar", default=None, type=float, help="help message") |
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expected.add_argument("--baz", default=None, type=str) |
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expected.add_argument("--ces", nargs="+", default=[], type=str) |
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expected.add_argument("--des", nargs="+", default=[], type=int) |
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dataclass_types = [OptionalExample] |
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if is_python_no_less_than_3_10: |
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dataclass_types.append(OptionalExamplePep604) |
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for dataclass_type in dataclass_types: |
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parser = HfArgumentParser(dataclass_type) |
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self.argparsersEqual(parser, expected) |
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args = parser.parse_args([]) |
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self.assertEqual(args, Namespace(foo=None, bar=None, baz=None, ces=[], des=[])) |
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args = parser.parse_args("--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3".split()) |
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self.assertEqual(args, Namespace(foo=12, bar=3.14, baz="42", ces=["a", "b", "c"], des=[1, 2, 3])) |
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def test_with_required(self): |
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parser = HfArgumentParser(RequiredExample) |
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expected = argparse.ArgumentParser() |
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expected.add_argument("--required_list", nargs="+", type=int, required=True) |
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expected.add_argument("--required_str", type=str, required=True) |
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expected.add_argument( |
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"--required_enum", |
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type=make_choice_type_function(["titi", "toto"]), |
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choices=["titi", "toto"], |
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required=True, |
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) |
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self.argparsersEqual(parser, expected) |
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def test_with_string_literal_annotation(self): |
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parser = HfArgumentParser(StringLiteralAnnotationExample) |
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expected = argparse.ArgumentParser() |
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expected.add_argument("--foo", type=int, required=True) |
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expected.add_argument( |
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"--required_enum", |
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type=make_choice_type_function(["titi", "toto"]), |
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choices=["titi", "toto"], |
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required=True, |
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) |
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expected.add_argument("--opt", type=string_to_bool, default=None) |
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expected.add_argument("--baz", default="toto", type=str, help="help message") |
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expected.add_argument("--foo_str", nargs="+", default=["Hallo", "Bonjour", "Hello"], type=str) |
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self.argparsersEqual(parser, expected) |
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def test_parse_dict(self): |
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parser = HfArgumentParser(BasicExample) |
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args_dict = { |
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"foo": 12, |
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"bar": 3.14, |
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"baz": "42", |
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"flag": True, |
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} |
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parsed_args = parser.parse_dict(args_dict)[0] |
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args = BasicExample(**args_dict) |
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self.assertEqual(parsed_args, args) |
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def test_parse_dict_extra_key(self): |
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parser = HfArgumentParser(BasicExample) |
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args_dict = { |
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"foo": 12, |
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"bar": 3.14, |
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"baz": "42", |
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"flag": True, |
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"extra": 42, |
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} |
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self.assertRaises(ValueError, parser.parse_dict, args_dict, allow_extra_keys=False) |
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def test_parse_json(self): |
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parser = HfArgumentParser(BasicExample) |
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args_dict_for_json = { |
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"foo": 12, |
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"bar": 3.14, |
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"baz": "42", |
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"flag": True, |
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} |
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with tempfile.TemporaryDirectory() as tmp_dir: |
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temp_local_path = os.path.join(tmp_dir, "temp_json") |
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os.mkdir(temp_local_path) |
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with open(temp_local_path + ".json", "w+") as f: |
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json.dump(args_dict_for_json, f) |
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parsed_args = parser.parse_json_file(Path(temp_local_path + ".json"))[0] |
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args = BasicExample(**args_dict_for_json) |
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self.assertEqual(parsed_args, args) |
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def test_parse_yaml(self): |
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parser = HfArgumentParser(BasicExample) |
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args_dict_for_yaml = { |
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"foo": 12, |
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"bar": 3.14, |
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"baz": "42", |
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"flag": True, |
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} |
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with tempfile.TemporaryDirectory() as tmp_dir: |
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temp_local_path = os.path.join(tmp_dir, "temp_yaml") |
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os.mkdir(temp_local_path) |
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with open(temp_local_path + ".yaml", "w+") as f: |
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yaml.dump(args_dict_for_yaml, f) |
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parsed_args = parser.parse_yaml_file(Path(temp_local_path + ".yaml"))[0] |
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args = BasicExample(**args_dict_for_yaml) |
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self.assertEqual(parsed_args, args) |
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def test_integration_training_args(self): |
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parser = HfArgumentParser(TrainingArguments) |
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self.assertIsNotNone(parser) |
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def test_valid_dict_annotation(self): |
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""" |
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Tests to make sure that `dict` based annotations |
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are correctly made in the `TrainingArguments`. |
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If this fails, a type annotation change is |
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needed on a new input |
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""" |
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base_list = _VALID_DICT_FIELDS.copy() |
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args = TrainingArguments |
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fields = args.__dataclass_fields__ |
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raw_dict_fields = [] |
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optional_dict_fields = [] |
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for field in fields.values(): |
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if field.type in (dict, Dict): |
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raw_dict_fields.append(field) |
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elif get_origin(field.type) == Union: |
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if any(arg in (dict, Dict) for arg in get_args(field.type)): |
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optional_dict_fields.append(field) |
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self.assertEqual( |
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len(raw_dict_fields), |
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0, |
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"Found invalid raw `dict` types in the `TrainingArgument` typings. " |
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"This leads to issues with the CLI. Please turn this into `typing.Optional[dict,str]`", |
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) |
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for field in optional_dict_fields: |
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args = get_args(field.type) |
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self.assertIn(args[0], (Dict, dict)) |
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self.assertEqual( |
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str(args[1]), |
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"<class 'str'>", |
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f"Expected field `{field.name}` to have a type signature of at least `typing.Union[dict,str,...]` for CLI compatibility, " |
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"but `str` not found. Please fix this.", |
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) |
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for field in optional_dict_fields: |
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self.assertIn( |
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field.name, |
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base_list, |
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f"Optional dict field `{field.name}` is not in the base list of valid fields. Please add it to `training_args._VALID_DICT_FIELDS`", |
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) |
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@require_torch |
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def test_valid_dict_input_parsing(self): |
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with tempfile.TemporaryDirectory() as tmp_dir: |
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args = TrainingArguments( |
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output_dir=tmp_dir, |
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accelerator_config='{"split_batches": "True", "gradient_accumulation_kwargs": {"num_steps": 2}}', |
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) |
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self.assertEqual(args.accelerator_config.split_batches, True) |
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self.assertEqual(args.accelerator_config.gradient_accumulation_kwargs["num_steps"], 2) |
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