File size: 17,287 Bytes
b37c16f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import Dict, List, Literal, Optional, Union, get_args, get_origin

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool
from transformers.testing_utils import require_torch
from transformers.training_args import _VALID_DICT_FIELDS


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
is_python_no_less_than_3_10 = sys.version_info >= (3, 10)


def list_field(default=None, metadata=None):
    return field(default_factory=lambda: default, metadata=metadata)


@dataclass
class BasicExample:
    foo: int
    bar: float
    baz: str
    flag: bool


@dataclass
class WithDefaultExample:
    foo: int = 42
    baz: str = field(default="toto", metadata={"help": "help message"})


@dataclass
class WithDefaultBoolExample:
    foo: bool = False
    baz: bool = True
    opt: Optional[bool] = None


class BasicEnum(Enum):
    titi = "titi"
    toto = "toto"


class MixedTypeEnum(Enum):
    titi = "titi"
    toto = "toto"
    fourtytwo = 42


@dataclass
class EnumExample:
    foo: BasicEnum = "toto"

    def __post_init__(self):
        self.foo = BasicEnum(self.foo)


@dataclass
class MixedTypeEnumExample:
    foo: MixedTypeEnum = "toto"

    def __post_init__(self):
        self.foo = MixedTypeEnum(self.foo)


@dataclass
class OptionalExample:
    foo: Optional[int] = None
    bar: Optional[float] = field(default=None, metadata={"help": "help message"})
    baz: Optional[str] = None
    ces: Optional[List[str]] = list_field(default=[])
    des: Optional[List[int]] = list_field(default=[])


@dataclass
class ListExample:
    foo_int: List[int] = list_field(default=[])
    bar_int: List[int] = list_field(default=[1, 2, 3])
    foo_str: List[str] = list_field(default=["Hallo", "Bonjour", "Hello"])
    foo_float: List[float] = list_field(default=[0.1, 0.2, 0.3])


@dataclass
class RequiredExample:
    required_list: List[int] = field()
    required_str: str = field()
    required_enum: BasicEnum = field()

    def __post_init__(self):
        self.required_enum = BasicEnum(self.required_enum)


@dataclass
class StringLiteralAnnotationExample:
    foo: int
    required_enum: "BasicEnum" = field()
    opt: "Optional[bool]" = None
    baz: "str" = field(default="toto", metadata={"help": "help message"})
    foo_str: "List[str]" = list_field(default=["Hallo", "Bonjour", "Hello"])


if is_python_no_less_than_3_10:

    @dataclass
    class WithDefaultBoolExamplePep604:
        foo: bool = False
        baz: bool = True
        opt: bool | None = None

    @dataclass
    class OptionalExamplePep604:
        foo: int | None = None
        bar: float | None = field(default=None, metadata={"help": "help message"})
        baz: str | None = None
        ces: list[str] | None = list_field(default=[])
        des: list[int] | None = list_field(default=[])


class HfArgumentParserTest(unittest.TestCase):
    def argparsersEqual(self, a: argparse.ArgumentParser, b: argparse.ArgumentParser):
        """
        Small helper to check pseudo-equality of parsed arguments on `ArgumentParser` instances.
        """
        self.assertEqual(len(a._actions), len(b._actions))
        for x, y in zip(a._actions, b._actions):
            xx = {k: v for k, v in vars(x).items() if k != "container"}
            yy = {k: v for k, v in vars(y).items() if k != "container"}

            # Choices with mixed type have custom function as "type"
            # So we need to compare results directly for equality
            if xx.get("choices", None) and yy.get("choices", None):
                for expected_choice in yy["choices"] + xx["choices"]:
                    self.assertEqual(xx["type"](expected_choice), yy["type"](expected_choice))
                del xx["type"], yy["type"]

            self.assertEqual(xx, yy)

    def test_basic(self):
        parser = HfArgumentParser(BasicExample)

        expected = argparse.ArgumentParser()
        expected.add_argument("--foo", type=int, required=True)
        expected.add_argument("--bar", type=float, required=True)
        expected.add_argument("--baz", type=str, required=True)
        expected.add_argument("--flag", type=string_to_bool, default=False, const=True, nargs="?")
        self.argparsersEqual(parser, expected)

        args = ["--foo", "1", "--baz", "quux", "--bar", "0.5"]
        (example,) = parser.parse_args_into_dataclasses(args, look_for_args_file=False)
        self.assertFalse(example.flag)

    def test_with_default(self):
        parser = HfArgumentParser(WithDefaultExample)

        expected = argparse.ArgumentParser()
        expected.add_argument("--foo", default=42, type=int)
        expected.add_argument("--baz", default="toto", type=str, help="help message")
        self.argparsersEqual(parser, expected)

    def test_with_default_bool(self):
        expected = argparse.ArgumentParser()
        expected.add_argument("--foo", type=string_to_bool, default=False, const=True, nargs="?")
        expected.add_argument("--baz", type=string_to_bool, default=True, const=True, nargs="?")
        # A boolean no_* argument always has to come after its "default: True" regular counter-part
        # and its default must be set to False
        expected.add_argument("--no_baz", action="store_false", default=False, dest="baz")
        expected.add_argument("--opt", type=string_to_bool, default=None)

        dataclass_types = [WithDefaultBoolExample]
        if is_python_no_less_than_3_10:
            dataclass_types.append(WithDefaultBoolExamplePep604)

        for dataclass_type in dataclass_types:
            parser = HfArgumentParser(dataclass_type)
            self.argparsersEqual(parser, expected)

            args = parser.parse_args([])
            self.assertEqual(args, Namespace(foo=False, baz=True, opt=None))

            args = parser.parse_args(["--foo", "--no_baz"])
            self.assertEqual(args, Namespace(foo=True, baz=False, opt=None))

            args = parser.parse_args(["--foo", "--baz"])
            self.assertEqual(args, Namespace(foo=True, baz=True, opt=None))

            args = parser.parse_args(["--foo", "True", "--baz", "True", "--opt", "True"])
            self.assertEqual(args, Namespace(foo=True, baz=True, opt=True))

            args = parser.parse_args(["--foo", "False", "--baz", "False", "--opt", "False"])
            self.assertEqual(args, Namespace(foo=False, baz=False, opt=False))

    def test_with_enum(self):
        parser = HfArgumentParser(MixedTypeEnumExample)

        expected = argparse.ArgumentParser()
        expected.add_argument(
            "--foo",
            default="toto",
            choices=["titi", "toto", 42],
            type=make_choice_type_function(["titi", "toto", 42]),
        )
        self.argparsersEqual(parser, expected)

        args = parser.parse_args([])
        self.assertEqual(args.foo, "toto")
        enum_ex = parser.parse_args_into_dataclasses([])[0]
        self.assertEqual(enum_ex.foo, MixedTypeEnum.toto)

        args = parser.parse_args(["--foo", "titi"])
        self.assertEqual(args.foo, "titi")
        enum_ex = parser.parse_args_into_dataclasses(["--foo", "titi"])[0]
        self.assertEqual(enum_ex.foo, MixedTypeEnum.titi)

        args = parser.parse_args(["--foo", "42"])
        self.assertEqual(args.foo, 42)
        enum_ex = parser.parse_args_into_dataclasses(["--foo", "42"])[0]
        self.assertEqual(enum_ex.foo, MixedTypeEnum.fourtytwo)

    def test_with_literal(self):
        @dataclass
        class LiteralExample:
            foo: Literal["titi", "toto", 42] = "toto"

        parser = HfArgumentParser(LiteralExample)

        expected = argparse.ArgumentParser()
        expected.add_argument(
            "--foo",
            default="toto",
            choices=("titi", "toto", 42),
            type=make_choice_type_function(["titi", "toto", 42]),
        )
        self.argparsersEqual(parser, expected)

        args = parser.parse_args([])
        self.assertEqual(args.foo, "toto")

        args = parser.parse_args(["--foo", "titi"])
        self.assertEqual(args.foo, "titi")

        args = parser.parse_args(["--foo", "42"])
        self.assertEqual(args.foo, 42)

    def test_with_list(self):
        parser = HfArgumentParser(ListExample)

        expected = argparse.ArgumentParser()
        expected.add_argument("--foo_int", nargs="+", default=[], type=int)
        expected.add_argument("--bar_int", nargs="+", default=[1, 2, 3], type=int)
        expected.add_argument("--foo_str", nargs="+", default=["Hallo", "Bonjour", "Hello"], type=str)
        expected.add_argument("--foo_float", nargs="+", default=[0.1, 0.2, 0.3], type=float)

        self.argparsersEqual(parser, expected)

        args = parser.parse_args([])
        self.assertEqual(
            args,
            Namespace(foo_int=[], bar_int=[1, 2, 3], foo_str=["Hallo", "Bonjour", "Hello"], foo_float=[0.1, 0.2, 0.3]),
        )

        args = parser.parse_args("--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7".split())
        self.assertEqual(args, Namespace(foo_int=[1], bar_int=[2, 3], foo_str=["a", "b", "c"], foo_float=[0.1, 0.7]))

    def test_with_optional(self):
        expected = argparse.ArgumentParser()
        expected.add_argument("--foo", default=None, type=int)
        expected.add_argument("--bar", default=None, type=float, help="help message")
        expected.add_argument("--baz", default=None, type=str)
        expected.add_argument("--ces", nargs="+", default=[], type=str)
        expected.add_argument("--des", nargs="+", default=[], type=int)

        dataclass_types = [OptionalExample]
        if is_python_no_less_than_3_10:
            dataclass_types.append(OptionalExamplePep604)

        for dataclass_type in dataclass_types:
            parser = HfArgumentParser(dataclass_type)

            self.argparsersEqual(parser, expected)

            args = parser.parse_args([])
            self.assertEqual(args, Namespace(foo=None, bar=None, baz=None, ces=[], des=[]))

            args = parser.parse_args("--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3".split())
            self.assertEqual(args, Namespace(foo=12, bar=3.14, baz="42", ces=["a", "b", "c"], des=[1, 2, 3]))

    def test_with_required(self):
        parser = HfArgumentParser(RequiredExample)

        expected = argparse.ArgumentParser()
        expected.add_argument("--required_list", nargs="+", type=int, required=True)
        expected.add_argument("--required_str", type=str, required=True)
        expected.add_argument(
            "--required_enum",
            type=make_choice_type_function(["titi", "toto"]),
            choices=["titi", "toto"],
            required=True,
        )
        self.argparsersEqual(parser, expected)

    def test_with_string_literal_annotation(self):
        parser = HfArgumentParser(StringLiteralAnnotationExample)

        expected = argparse.ArgumentParser()
        expected.add_argument("--foo", type=int, required=True)
        expected.add_argument(
            "--required_enum",
            type=make_choice_type_function(["titi", "toto"]),
            choices=["titi", "toto"],
            required=True,
        )
        expected.add_argument("--opt", type=string_to_bool, default=None)
        expected.add_argument("--baz", default="toto", type=str, help="help message")
        expected.add_argument("--foo_str", nargs="+", default=["Hallo", "Bonjour", "Hello"], type=str)
        self.argparsersEqual(parser, expected)

    def test_parse_dict(self):
        parser = HfArgumentParser(BasicExample)

        args_dict = {
            "foo": 12,
            "bar": 3.14,
            "baz": "42",
            "flag": True,
        }

        parsed_args = parser.parse_dict(args_dict)[0]
        args = BasicExample(**args_dict)
        self.assertEqual(parsed_args, args)

    def test_parse_dict_extra_key(self):
        parser = HfArgumentParser(BasicExample)

        args_dict = {
            "foo": 12,
            "bar": 3.14,
            "baz": "42",
            "flag": True,
            "extra": 42,
        }

        self.assertRaises(ValueError, parser.parse_dict, args_dict, allow_extra_keys=False)

    def test_parse_json(self):
        parser = HfArgumentParser(BasicExample)

        args_dict_for_json = {
            "foo": 12,
            "bar": 3.14,
            "baz": "42",
            "flag": True,
        }
        with tempfile.TemporaryDirectory() as tmp_dir:
            temp_local_path = os.path.join(tmp_dir, "temp_json")
            os.mkdir(temp_local_path)
            with open(temp_local_path + ".json", "w+") as f:
                json.dump(args_dict_for_json, f)
            parsed_args = parser.parse_json_file(Path(temp_local_path + ".json"))[0]

        args = BasicExample(**args_dict_for_json)
        self.assertEqual(parsed_args, args)

    def test_parse_yaml(self):
        parser = HfArgumentParser(BasicExample)

        args_dict_for_yaml = {
            "foo": 12,
            "bar": 3.14,
            "baz": "42",
            "flag": True,
        }
        with tempfile.TemporaryDirectory() as tmp_dir:
            temp_local_path = os.path.join(tmp_dir, "temp_yaml")
            os.mkdir(temp_local_path)
            with open(temp_local_path + ".yaml", "w+") as f:
                yaml.dump(args_dict_for_yaml, f)
            parsed_args = parser.parse_yaml_file(Path(temp_local_path + ".yaml"))[0]
        args = BasicExample(**args_dict_for_yaml)
        self.assertEqual(parsed_args, args)

    def test_integration_training_args(self):
        parser = HfArgumentParser(TrainingArguments)
        self.assertIsNotNone(parser)

    def test_valid_dict_annotation(self):
        """
        Tests to make sure that `dict` based annotations
        are correctly made in the `TrainingArguments`.

        If this fails, a type annotation change is
        needed on a new input
        """
        base_list = _VALID_DICT_FIELDS.copy()
        args = TrainingArguments

        # First find any annotations that contain `dict`
        fields = args.__dataclass_fields__

        raw_dict_fields = []
        optional_dict_fields = []

        for field in fields.values():
            # First verify raw dict
            if field.type in (dict, Dict):
                raw_dict_fields.append(field)
            # Next check for `Union` or `Optional`
            elif get_origin(field.type) == Union:
                if any(arg in (dict, Dict) for arg in get_args(field.type)):
                    optional_dict_fields.append(field)

        # First check: anything in `raw_dict_fields` is very bad
        self.assertEqual(
            len(raw_dict_fields),
            0,
            "Found invalid raw `dict` types in the `TrainingArgument` typings. "
            "This leads to issues with the CLI. Please turn this into `typing.Optional[dict,str]`",
        )

        # Next check raw annotations
        for field in optional_dict_fields:
            args = get_args(field.type)
            # These should be returned as `dict`, `str`, ...
            # we only care about the first two
            self.assertIn(args[0], (Dict, dict))
            self.assertEqual(
                str(args[1]),
                "<class 'str'>",
                f"Expected field `{field.name}` to have a type signature of at least `typing.Union[dict,str,...]` for CLI compatibility, "
                "but `str` not found. Please fix this.",
            )

        # Second check: anything in `optional_dict_fields` is bad if it's not in `base_list`
        for field in optional_dict_fields:
            self.assertIn(
                field.name,
                base_list,
                f"Optional dict field `{field.name}` is not in the base list of valid fields. Please add it to `training_args._VALID_DICT_FIELDS`",
            )

    @require_torch
    def test_valid_dict_input_parsing(self):
        with tempfile.TemporaryDirectory() as tmp_dir:
            args = TrainingArguments(
                output_dir=tmp_dir,
                accelerator_config='{"split_batches": "True", "gradient_accumulation_kwargs": {"num_steps": 2}}',
            )
            self.assertEqual(args.accelerator_config.split_batches, True)
            self.assertEqual(args.accelerator_config.gradient_accumulation_kwargs["num_steps"], 2)