repo_id stringclasses 409
values | prefix large_stringlengths 34 36.3k | target large_stringlengths 1 498 | assertion_type stringclasses 31
values | difficulty stringclasses 8
values | test_file stringlengths 10 121 | test_function stringlengths 1 104 | test_class stringlengths 0 51 | lineno int32 2 11.3k | commit_idx int32 |
|---|---|---|---|---|---|---|---|---|---|
Mayitzin/ahrs | import unittest
import numpy as np
import ahrs
GENERATOR = np.random.default_rng(42)
THRESHOLD = 1e-6
SQRT2_2 = np.sqrt(2)/2
class TestDCM(unittest.TestCase):
def setUp(self) -> None:
self.R0 = ahrs.DCM()
self.vector = GENERATOR.random(3)*180-90
self.R = ahrs.DCM(rpy=self.vector)
s... | rmy45) | assert_* | variable | tests/test_dcm.py | test_rotation_matrix_from_euler_angles | TestDCM | 39 | null |
Mayitzin/ahrs | import unittest
import numpy as np
import ahrs.utils.core as ahrs_core
class TestCoreFunctions(unittest.TestCase):
def test_assert_same_shapes(self):
self.assertRaises( | ValueError) | self.assertRaises | variable | tests/test_core_functions.py | test_assert_same_shapes | TestCoreFunctions | 8 | null |
Mayitzin/ahrs | import unittest
import numpy as np
import ahrs
GENERATOR = np.random.default_rng(42)
THRESHOLD = 1e-6
SQRT2_2 = np.sqrt(2)/2
class TestDCM(unittest.TestCase):
def setUp(self) -> None:
self.R0 = ahrs.DCM()
self.vector = GENERATOR.random(3)*180-90
self.R = ahrs.DCM(rpy=self.vector)
s... | rmx45) | assert_* | variable | tests/test_dcm.py | test_rotation_matrix_from_euler_angles | TestDCM | 38 | null |
Mayitzin/ahrs | import os
import unittest
import numpy as np
import ahrs
class TestWMM(unittest.TestCase):
def _load_test_values(self, filename: str) -> np.ndarray:
"""
Load test values from file.
Parameters
----------
filename : str
Path to file with test values.
Ret... | f"Expected {test_values['D'][i]:.2f}, result {self.wmm.D:.2f}") | self.assertAlmostEqual | string_literal | tests/test_wmm.py | test_wmm2015 | TestWMM | 88 | null |
Mayitzin/ahrs | import unittest
import numpy as np
import ahrs.utils.core as ahrs_core
class TestCoreFunctions(unittest.TestCase):
def test_get_nan_intervals(self):
A = np.random.random((10, 3))
A[[1, 3, 4, 5, 8, 9]] = np.nan
self.assertEqual(ahrs_core.get_nan_intervals(A), | [(1, 1), (3, 5), (8, 9)]) | self.assertEqual | collection | tests/test_core_functions.py | test_get_nan_intervals | TestCoreFunctions | 19 | null |
Mayitzin/ahrs | import os
import unittest
import numpy as np
import ahrs
class TestWMM(unittest.TestCase):
def _load_test_values(self, filename: str) -> np.ndarray:
"""
Load test values from file.
Parameters
----------
filename : str
Path to file with test values.
Ret... | f"Expected {test_values['Z'][i]:.1f}, result {self.wmm.Z:.1f}") | self.assertAlmostEqual | string_literal | tests/test_wmm.py | test_wmm2015 | TestWMM | 86 | null |
Mayitzin/ahrs | import unittest
import numpy as np
import ahrs
SQ22 = np.sqrt(2)/2
COS_SQ22 = np.cos(SQ22)
SIN_SQ22 = np.sin(SQ22)
EXP_SQ22 = np.exp(SQ22)
class TestQuaternion(unittest.TestCase):
def setUp(self) -> None:
# Identity Quaternion
self.q0 = ahrs.Quaternion()
# Versor from 3D array
self... | TypeError) | self.assertRaises | variable | tests/test_quaternions.py | test_wrong_input_array | TestQuaternion | 108 | null |
Mayitzin/ahrs | import unittest
import numpy as np
import ahrs
THRESHOLD = 0.5
SENSOR_DATA = ahrs.Sensors(num_samples=1000, in_degrees=False)
REFERENCE_QUATERNIONS = SENSOR_DATA.quaternions
REFERENCE_ROTATIONS = SENSOR_DATA.rotations
class TestTRIAD(unittest.TestCase):
def setUp(self) -> None:
self.accelerometers = np.c... | THRESHOLD) | self.assertLess | variable | tests/test_estimators.py | test_multiple_values | TestTRIAD | 21 | null |
Mayitzin/ahrs | import os
import unittest
import numpy as np
import ahrs
class TestWMM(unittest.TestCase):
def _load_test_values(self, filename: str) -> np.ndarray:
"""
Load test values from file.
Parameters
----------
filename : str
Path to file with test values.
Ret... | f"Expected {test_values['I'][i]:.2f}, result {self.wmm.I:.2f}") | self.assertAlmostEqual | string_literal | tests/test_wmm.py | test_wmm2015 | TestWMM | 87 | null |
Mayitzin/ahrs | import unittest
import ahrs
class TestWELMEC(unittest.TestCase):
def test_correct_values(self):
self.assertAlmostEqual(ahrs.utils.welmec_gravity(52.3, 80.0), 9.812484, places=6) # Braunschweig, Germany
self.assertAlmostEqual(ahrs.utils.welmec_gravity(60.0, 250.0), | 9.818399) | self.assertAlmostEqual | numeric_literal | tests/test_wgs84.py | test_correct_values | TestWELMEC | 8 | null |
Mayitzin/ahrs | import unittest
import ahrs
class TestWGS84(unittest.TestCase):
def setUp(self) -> None:
self.wgs = ahrs.utils.WGS()
def test_values(self):
self.assertAlmostEqual(self.wgs.a, 6_378_137.0, 1)
self.assertAlmostEqual(self.wgs.f, 1/298.257223563, 7)
self.assertAlmostEqual(self.wgs.... | 4) | self.assertAlmostEqual | numeric_literal | tests/test_wgs84.py | test_values | TestWGS84 | 31 | null |
Mayitzin/ahrs | import unittest
import numpy as np
import ahrs
THRESHOLD = 0.5
SENSOR_DATA = ahrs.Sensors(num_samples=1000, in_degrees=False)
REFERENCE_QUATERNIONS = SENSOR_DATA.quaternions
REFERENCE_ROTATIONS = SENSOR_DATA.rotations
class TestAQUA(unittest.TestCase):
def setUp(self) -> None:
self.gyroscopes = np.copy(S... | 1.0) | self.assertEqual | numeric_literal | tests/test_estimators.py | test_adaptive_gain | TestAQUA | 358 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.toc import Toc, read_toc, write_toc
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
toc_temp_dir = create_temp_dir_fixture("toc")
class TestTocDataClass:
def test_nested_children(self):
"""测试嵌套的子节点结构"""
c... | 1 | assert | numeric_literal | tests/test_toc.py | test_nested_children | TestTocDataClass | 280 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.toc import Toc, read_toc, write_toc
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
toc_temp_dir = create_temp_dir_fixture("toc")
class TestReadTocEpub:
def test_read_little_prince_toc(self, toc_temp_dir):
"""测试读... | 0 | assert | numeric_literal | tests/test_toc.py | test_read_little_prince_toc | TestReadTocEpub | 33 | null |
oomol-lab/epub-translator | import io
import unittest
from typing import cast
from xml.etree.ElementTree import Element
from epub_translator.xml.xml_like import XMLLikeNode
class TestXMLLikeNode(unittest.TestCase):
def test_preserve_encoding_utf8(self):
"""测试保留 UTF-8 编码"""
original_content = b"""<?xml version="1.0" encoding... | result) | self.assertIn | variable | tests/test_xml_like.py | test_preserve_encoding_utf8 | TestXMLLikeNode | 34 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement
from epub_translator.xml import decode_friendly, encode_friendly
class TestFriendlyXML(unittest.TestCase):
def test_decode_malformed_tags(self):
"""测试解码不匹配的标签"""
# 缺少闭合标签的情况
xml_str = "<p>Unclosed tag"
elements ... | 0) | self.assertGreaterEqual | numeric_literal | tests/test_xml_friendly.py | test_decode_malformed_tags | TestFriendlyXML | 94 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestWriteMetadata:
def test_translate_metadata_fi... | "小王子" | assert | string_literal | tests/test_metadata.py | test_translate_metadata_fields | TestWriteMetadata | 140 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestReadMetadata:
def test_read_little_prince_met... | 6 | assert | numeric_literal | tests/test_metadata.py | test_read_little_prince_metadata | TestReadMetadata | 25 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestMetadataFieldDataClass:
def test_create_metad... | "title" | assert | string_literal | tests/test_metadata.py | test_create_metadata_field | TestMetadataFieldDataClass | 188 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement
from epub_translator.xml import decode_friendly, encode_friendly
class TestFriendlyXML(unittest.TestCase):
def test_decode_nested_tags(self):
"""测试解码嵌套标签"""
xml_str = "<div><p>First</p><p>Second</p></div>"
elements = li... | 2) | self.assertEqual | numeric_literal | tests/test_xml_friendly.py | test_decode_nested_tags | TestFriendlyXML | 42 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import fromstring, tostring
from epub_translator.segment.inline_segment import (
InlineSegment,
InlineUnexpectedIDError,
InlineWrongTagCountError,
search_inline_segments,
)
from epub_translator.segment.text_segment import search_text_segments
from epub_transla... | em) | self.assertIsNotNone | variable | tests/test_inline_segment.py | test_create_nested_structure | TestCreateElement | 155 | null |
oomol-lab/epub-translator | import unittest
from epub_translator.xml.self_closing import self_close_void_elements, unclose_void_elements
class TestUncloseVoidElements(unittest.TestCase):
def test_roundtrip_consistency(self):
"""测试往返转换的一致性"""
# 对于 text/html，应该能够先 self_close 再 unclose，回到类似的形式
original = '<br><meta cha... | unclosed) | self.assertIn | variable | tests/test_self_closing.py | test_roundtrip_consistency | TestUncloseVoidElements | 318 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement, fromstring, tostring
from epub_translator.segment.text_segment import combine_text_segments, search_text_segments
class TestEdgeCases(unittest.TestCase):
def test_empty_root(self):
"""测试空根元素"""
root = Element("p")
seg... | 0) | self.assertEqual | numeric_literal | tests/test_text_segment.py | test_empty_root | TestEdgeCases | 315 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, fromstring, tostring
from epub_translator.segment import search_text_segments
from epub_translator.utils import normalize_whitespace
from epub_translator.xml import iter_with_stack
from epub_translator.xml_translator.stream_mapper import InlineSegmentMapping
f... | result) | self.assertIsNotNone | variable | tests/test_submitter.py | test_bug_indirect_child_in_platform_structure | TestBugReproduction | 360 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.toc import Toc, read_toc, write_toc
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
toc_temp_dir = create_temp_dir_fixture("toc")
class TestReadTocEpub:
def test_read_little_prince_toc(self, toc_temp_dir):
"""测试读... | "0" | assert | string_literal | tests/test_toc.py | test_read_little_prince_toc | TestReadTocEpub | 31 | null |
oomol-lab/epub-translator | from xml.etree import ElementTree as ET
from epub_translator.epub.metadata import MetadataField
from epub_translator.epub.toc import Toc
from epub_translator.translation.epub_transcode import (
decode_metadata,
decode_toc,
decode_toc_list,
encode_metadata,
encode_toc,
encode_toc_list,
)
class ... | 3 | assert | numeric_literal | tests/test_epub_transcode.py | test_encode_multiple_same_tag | TestEncodeMetadata | 335 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement, fromstring, tostring
from epub_translator.segment.text_segment import combine_text_segments, search_text_segments
class TestSearchTextSegments(unittest.TestCase):
def test_search_multiple_siblings(self):
"""测试提取兄弟元素"""
root = ... | 2) | self.assertEqual | numeric_literal | tests/test_text_segment.py | test_search_multiple_siblings | TestSearchTextSegments | 56 | null |
oomol-lab/epub-translator | import io
import unittest
from typing import cast
from xml.etree.ElementTree import Element
from epub_translator.xml.xml_like import XMLLikeNode
class TestXMLLikeNode(unittest.TestCase):
def test_clean_namespaces(self):
"""测试清理命名空间"""
original_content = b"""<?xml version="1.0"?>
<html xmlns="http... | elem.tag) | self.assertNotIn | complex_expr | tests/test_xml_like.py | test_clean_namespaces | TestXMLLikeNode | 69 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, fromstring, tostring
from epub_translator.segment import search_text_segments
from epub_translator.utils import normalize_whitespace
from epub_translator.xml import iter_with_stack
from epub_translator.xml_translator.stream_mapper import InlineSegmentMapping
f... | normalize_whitespace(expected).strip()) | self.assertEqual | func_call | tests/test_submitter.py | test_replace_peak_simple | TestSubmitReplace | 58 | null |
oomol-lab/epub-translator | from xml.etree import ElementTree as ET
from epub_translator.epub.metadata import MetadataField
from epub_translator.epub.toc import Toc
from epub_translator.translation.epub_transcode import (
decode_metadata,
decode_toc,
decode_toc_list,
encode_metadata,
encode_toc,
encode_toc_list,
)
class ... | None | assert | none_literal | tests/test_epub_transcode.py | test_encode_simple_toc | TestEncodeToc | 35 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import fromstring, tostring
from epub_translator.segment.inline_segment import (
InlineSegment,
InlineUnexpectedIDError,
InlineWrongTagCountError,
search_inline_segments,
)
from epub_translator.segment.text_segment import search_text_segments
from epub_transla... | 0) | self.assertEqual | numeric_literal | tests/test_inline_segment.py | test_validate_correct_structure | TestValidate | 175 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.spines import search_spine_paths
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
spines_temp_dir = create_temp_dir_fixture("spines")
class TestSearchSpinePathsEpub2:
def test_search_little_prince_spines(self, spines_temp... | 28 | assert | numeric_literal | tests/test_spines.py | test_search_little_prince_spines | TestSearchSpinePathsEpub2 | 26 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestWriteMetadata:
def test_translate_metadata_fi... | "小说" | assert | string_literal | tests/test_metadata.py | test_translate_metadata_fields | TestWriteMetadata | 143 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestReadMetadata:
def test_read_little_prince_met... | tag_names | assert | variable | tests/test_metadata.py | test_read_little_prince_metadata | TestReadMetadata | 29 | null |
oomol-lab/epub-translator | from xml.etree import ElementTree as ET
from epub_translator.epub.metadata import MetadataField
from epub_translator.epub.toc import Toc
from epub_translator.translation.epub_transcode import (
decode_metadata,
decode_toc,
decode_toc_list,
encode_metadata,
encode_toc,
encode_toc_list,
)
class ... | 4 | assert | numeric_literal | tests/test_epub_transcode.py | test_encode_multiple_fields | TestEncodeMetadata | 310 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement
from epub_translator.xml import decode_friendly, encode_friendly
class TestFriendlyXML(unittest.TestCase):
def test_decode_nested_tags(self):
"""测试解码嵌套标签"""
xml_str = "<div><p>First</p><p>Second</p></div>"
elements = li... | 3) | self.assertEqual | numeric_literal | tests/test_xml_friendly.py | test_decode_nested_tags | TestFriendlyXML | 34 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.spines import search_spine_paths
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
spines_temp_dir = create_temp_dir_fixture("spines")
class TestSpinePathsValidation:
def test_spine_paths_are_unique(self, spines_temp_dir):... | len(unique_paths) | assert | func_call | tests/test_spines.py | test_spine_paths_are_unique | TestSpinePathsValidation | 202 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement
from epub_translator.xml import decode_friendly, encode_friendly
class TestFriendlyXML(unittest.TestCase):
def test_decode_simple_tag(self):
"""测试解码简单的标签"""
xml_str = "<p>Hello World</p>"
elements = list(decode_friendly... | 1) | self.assertEqual | numeric_literal | tests/test_xml_friendly.py | test_decode_simple_tag | TestFriendlyXML | 15 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.spines import search_spine_paths
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
spines_temp_dir = create_temp_dir_fixture("spines")
class TestSearchSpinePathsEpub2:
def test_search_little_prince_spines(self, spines_temp... | 0 | assert | numeric_literal | tests/test_spines.py | test_search_little_prince_spines | TestSearchSpinePathsEpub2 | 25 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestReadMetadata:
def test_read_little_prince_met... | 2 | assert | numeric_literal | tests/test_metadata.py | test_read_little_prince_metadata | TestReadMetadata | 36 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement, fromstring, tostring
from epub_translator.segment.text_segment import combine_text_segments, search_text_segments
class TestSearchTextSegments(unittest.TestCase):
def test_search_text_and_tail(self):
"""测试提取 TEXT 和 TAIL 文本"""
... | 3) | self.assertEqual | numeric_literal | tests/test_text_segment.py | test_search_text_and_tail | TestSearchTextSegments | 41 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement
from epub_translator.xml import decode_friendly, encode_friendly
class TestFriendlyXML(unittest.TestCase):
def test_decode_simple_tag(self):
"""测试解码简单的标签"""
xml_str = "<p>Hello World</p>"
elements = list(decode_friendly... | "p") | self.assertEqual | string_literal | tests/test_xml_friendly.py | test_decode_simple_tag | TestFriendlyXML | 16 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.toc import Toc, read_toc, write_toc
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
toc_temp_dir = create_temp_dir_fixture("toc")
class TestReadTocEpub:
def test_read_little_prince_toc(self, toc_temp_dir):
"""测试读... | 28 | assert | numeric_literal | tests/test_toc.py | test_read_little_prince_toc | TestReadTocEpub | 25 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestReadMetadata:
def test_read_chinese_book_meta... | 0 | assert | numeric_literal | tests/test_metadata.py | test_read_chinese_book_metadata | TestReadMetadata | 61 | null |
oomol-lab/epub-translator | from xml.etree import ElementTree as ET
from epub_translator.epub.metadata import MetadataField
from epub_translator.epub.toc import Toc
from epub_translator.translation.epub_transcode import (
decode_metadata,
decode_toc,
decode_toc_list,
encode_metadata,
encode_toc,
encode_toc_list,
)
class ... | 2 | assert | numeric_literal | tests/test_epub_transcode.py | test_encode_nested_toc | TestEncodeToc | 76 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.metadata import MetadataField, read_metadata, write_metadata
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
metadata_temp_dir = create_temp_dir_fixture("metadata")
class TestMetadataFieldDataClass:
def test_metadata_fie... | field3 | assert | variable | tests/test_metadata.py | test_metadata_field_equality | TestMetadataFieldDataClass | 198 | null |
oomol-lab/epub-translator | from typing import Self
from epub_translator.serial import Segment, split
from epub_translator.serial.chunk import split_into_chunks
class TestChunkBasic:
def test_large_max_tokens(self):
"""测试 max_tokens 很大时，所有内容在一个 chunk 中"""
segments = [
MockSegment.from_text("Short"),
... | 1 | assert | numeric_literal | tests/test_serial.py | test_large_max_tokens | TestChunkBasic | 93 | null |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_non_math_element():
"""非 math 元素应该返回空字符串"""
xml = """<div>not a math element</div>"""
element = fromstring(xml)
result = xml_to_latex(element)
assert result == | "" | assert | string_literal | tests/test_math.py | test_non_math_element | 167 | null | |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import fromstring, tostring
from epub_translator.segment.inline_segment import (
InlineSegment,
InlineUnexpectedIDError,
InlineWrongTagCountError,
search_inline_segments,
)
from epub_translator.segment.text_segment import search_text_segments
from epub_transla... | 1) | self.assertEqual | numeric_literal | tests/test_inline_segment.py | test_create_simple_element | TestCreateElement | 115 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.toc import Toc, read_toc, write_toc
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
toc_temp_dir = create_temp_dir_fixture("toc")
class TestReadTocEpub3:
def test_read_deepseek_ocr_toc(self, toc_temp_dir):
"""测试读... | 2 | assert | numeric_literal | tests/test_toc.py | test_read_deepseek_ocr_toc | TestReadTocEpub3 | 74 | null |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_simple_fraction():
"""简单分数"""
mathml = """<math>
<mfrac>
<mi>a</mi>
<mi>b</mi>
</mfrac>
</math>"""
element = fromstring(mathml)
result = xml_to_latex(el... | r"\frac{a}{b}" | assert | complex_expr | tests/test_math.py | test_simple_fraction | 62 | null | |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.spines import search_spine_paths
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
spines_temp_dir = create_temp_dir_fixture("spines")
class TestSpinePathsStructure:
def test_spine_paths_order(self, spines_temp_dir):
... | spine_paths_2 | assert | variable | tests/test_spines.py | test_spine_paths_order | TestSpinePathsStructure | 164 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.toc import Toc, read_toc, write_toc
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
toc_temp_dir = create_temp_dir_fixture("toc")
class TestTocDataClass:
def test_full_href_with_none_href(self):
"""测试 href 为 None... | None | assert | none_literal | tests/test_toc.py | test_full_href_with_none_href | TestTocDataClass | 272 | null |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_superscript():
"""上标"""
mathml = """<math>
<msup>
<mi>x</mi>
<mn>2</mn>
</msup>
</math>"""
element = fromstring(mathml)
result = xml_to_latex(element)
... | r"x^{2}" | assert | complex_expr | tests/test_math.py | test_superscript | 92 | null | |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, SubElement, fromstring, tostring
from epub_translator.segment.text_segment import combine_text_segments, search_text_segments
class TestSearchTextSegments(unittest.TestCase):
def test_search_simple_text(self):
"""测试提取简单文本"""
root = Elemen... | 1) | self.assertEqual | numeric_literal | tests/test_text_segment.py | test_search_simple_text | TestSearchTextSegments | 17 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import fromstring, tostring
from epub_translator.segment.inline_segment import (
InlineSegment,
InlineUnexpectedIDError,
InlineWrongTagCountError,
search_inline_segments,
)
from epub_translator.segment.text_segment import search_text_segments
from epub_transla... | 3) | self.assertEqual | numeric_literal | tests/test_inline_segment.py | test_parent_with_text_and_child_blocks_not_merged | TestEdgeCases | 328 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.spines import search_spine_paths
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
spines_temp_dir = create_temp_dir_fixture("spines")
class TestSearchSpinePathsEpub2:
def test_search_little_prince_spines(self, spines_temp... | [".xhtml", ".html", ".htm"] | assert | collection | tests/test_spines.py | test_search_little_prince_spines | TestSearchSpinePathsEpub2 | 40 | null |
oomol-lab/epub-translator | from xml.etree import ElementTree as ET
from epub_translator.epub.metadata import MetadataField
from epub_translator.epub.toc import Toc
from epub_translator.translation.epub_transcode import (
decode_metadata,
decode_toc,
decode_toc_list,
encode_metadata,
encode_toc,
encode_toc_list,
)
class ... | 1 | assert | numeric_literal | tests/test_epub_transcode.py | test_toc_list_roundtrip | TestTocRoundTrip | 277 | null |
oomol-lab/epub-translator | import unittest
from epub_translator.xml.self_closing import self_close_void_elements, unclose_void_elements
class TestSelfCloseVoidElements(unittest.TestCase):
def test_empty_string(self):
"""测试空字符串"""
result = self_close_void_elements("")
self.assertEqual(result, | "") | self.assertEqual | string_literal | tests/test_self_closing.py | test_empty_string | TestSelfCloseVoidElements | 231 | null |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_greek_letters():
"""希腊字母"""
mathml = """<math>
<mrow>
<mo>π</mo>
<mo>=</mo>
<mn>3.14</mn>
</mrow>
</math>"""
element = fromstring(mathml)
re... | r"\pi=3.14" | assert | complex_expr | tests/test_math.py | test_greek_letters | 158 | null | |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.toc import Toc, read_toc, write_toc
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
toc_temp_dir = create_temp_dir_fixture("toc")
class TestWriteTocEpub:
def test_remove_toc_item(self, toc_temp_dir):
"""测试删除目录项""... | "3" | assert | string_literal | tests/test_toc.py | test_remove_toc_item | TestWriteTocEpub | 180 | null |
oomol-lab/epub-translator | from xml.etree import ElementTree as ET
from epub_translator.epub.metadata import MetadataField
from epub_translator.epub.toc import Toc
from epub_translator.translation.epub_transcode import (
decode_metadata,
decode_toc,
decode_toc_list,
encode_metadata,
encode_toc,
encode_toc_list,
)
class ... | 0 | assert | numeric_literal | tests/test_epub_transcode.py | test_decode_simple_toc | TestDecodeToc | 158 | null |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_fraction_with_subscript():
"""测试你的 EPUB 文件中实际的例子：分数 + 下标 + 箭头"""
mathml = """<math display="inline">
<mrow>
<mrow>
<mfrac>
<mrow>
<msub>
<m... | r"\frac{S_{1}}{S}\rightarrow\frac{S_{2}}{a}" | assert | complex_expr | tests/test_math.py | test_fraction_with_subscript | 47 | null | |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_subscript():
"""下标"""
mathml = """<math>
<msub>
<mi>x</mi>
<mn>2</mn>
</msub>
</math>"""
element = fromstring(mathml)
result = xml_to_latex(element)
... | r"x_{2}" | assert | complex_expr | tests/test_math.py | test_subscript | 77 | null | |
oomol-lab/epub-translator | from typing import Self
from epub_translator.serial import Segment, split
from epub_translator.serial.chunk import split_into_chunks
class TestTruncation:
def test_truncate_after_head(self):
"""测试 truncate_after_head 方法"""
seg = MockSegment.from_text("HelloWorld") # 10 tokens
truncated ... | 5 | assert | numeric_literal | tests/test_serial.py | test_truncate_after_head | TestTruncation | 182 | null |
oomol-lab/epub-translator | import unittest
from epub_translator.xml.self_closing import self_close_void_elements, unclose_void_elements
class TestSelfCloseVoidElements(unittest.TestCase):
def test_complex_real_world_html(self):
"""测试真实世界的复杂 HTML"""
input_html = """<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">... | expected) | self.assertEqual | variable | tests/test_self_closing.py | test_complex_real_world_html | TestSelfCloseVoidElements | 220 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, fromstring, tostring
from epub_translator.segment import search_text_segments
from epub_translator.utils import normalize_whitespace
from epub_translator.xml import iter_with_stack
from epub_translator.xml_translator.stream_mapper import InlineSegmentMapping
f... | element_to_string(root)) | self.assertEqual | func_call | tests/test_submitter.py | test_empty_mappings | TestSubmitEdgeCases | 235 | null |
oomol-lab/epub-translator | import io
import unittest
from typing import cast
from xml.etree.ElementTree import Element
from epub_translator.xml.xml_like import XMLLikeNode
class TestXMLLikeNode(unittest.TestCase):
def test_header_with_whitespace_and_newlines(self):
"""测试 header 中包含大量空白和换行的情况"""
original_content = b"""
<?x... | header_part) | self.assertIn | variable | tests/test_xml_like.py | test_header_with_whitespace_and_newlines | TestXMLLikeNode | 212 | null |
oomol-lab/epub-translator | from pathlib import Path
from epub_translator.epub.spines import search_spine_paths
from epub_translator.epub.zip import Zip
from tests.utils import create_temp_dir_fixture
spines_temp_dir = create_temp_dir_fixture("spines")
class TestSpinePathsValidation:
def test_spine_paths_file_extensions(self, spines_temp_... | valid_extensions | assert | variable | tests/test_spines.py | test_spine_paths_file_extensions | TestSpinePathsValidation | 217 | null |
oomol-lab/epub-translator | import unittest
from epub_translator.xml.self_closing import self_close_void_elements, unclose_void_elements
class TestEdgeCases(unittest.TestCase):
def test_malformed_html(self):
"""测试畸形 HTML（不应崩溃）"""
# 这些情况下函数应该尽力处理，不崩溃
cases = [
"<br<", # 不完整的标签
'<meta charset=... | str) | self.assertIsInstance | variable | tests/test_self_closing.py | test_malformed_html | TestEdgeCases | 367 | null |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_nested_fraction():
"""嵌套分数"""
mathml = """<math>
<mfrac>
<mfrac>
<mi>a</mi>
<mi>b</mi>
</mfrac>
<mi>c</mi>
</mfrac>
<... | r"\frac{\frac{a}{b}}{c}" | assert | complex_expr | tests/test_math.py | test_nested_fraction | 124 | null | |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import fromstring, tostring
from epub_translator.segment.inline_segment import (
InlineSegment,
InlineUnexpectedIDError,
InlineWrongTagCountError,
search_inline_segments,
)
from epub_translator.segment.text_segment import search_text_segments
from epub_transla... | None | assert | none_literal | tests/test_inline_segment.py | test_collect_simple_inline | TestCollectInlineSegment | 32 | null |
oomol-lab/epub-translator | import unittest
from xml.etree.ElementTree import Element, fromstring, tostring
from epub_translator.segment import search_text_segments
from epub_translator.utils import normalize_whitespace
from epub_translator.xml import iter_with_stack
from epub_translator.xml_translator.stream_mapper import InlineSegmentMapping
f... | "应该包含 math 元素的译文") | self.assertIn | string_literal | tests/test_submitter.py | test_bug_indirect_child_in_platform_structure | TestBugReproduction | 365 | null |
oomol-lab/epub-translator | from xml.etree.ElementTree import fromstring
from epub_translator.epub.math import xml_to_latex
def test_operator_mapping():
"""运算符映射"""
mathml = """<math>
<mrow>
<mi>a</mi>
<mo>×</mo>
<mi>b</mi>
<mo>≤</mo>
<mi>c</mi>
</mrow>
</ma... | r"a\timesb\leqc" | assert | complex_expr | tests/test_math.py | test_operator_mapping | 142 | null | |
stanford-cs336/assignment1-basics | from __future__ import annotations
import json
import os
import resource
import sys
import psutil
import pytest
import tiktoken
from .adapters import get_tokenizer
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
VOCAB_PATH = FIXTURES_PATH / "gpt2_vocab.json"
MERGES_PATH = FIXTURES_PATH / "gpt2_merges.txt"
... | ["s"] | assert | collection | tests/test_tokenizer.py | test_single_character_matches_tiktoken | 131 | null | |
stanford-cs336/assignment1-basics | import math
from collections import Counter
import numpy as np
import pytest
from .adapters import run_get_batch
def test_get_batch():
dataset = np.arange(0, 100)
context_length = 7
batch_size = 32
device = "cpu"
# Sanity check to make sure that the random samples are indeed somewhat random.
... | 0 | assert | numeric_literal | tests/test_data.py | test_get_batch | 39 | null | |
stanford-cs336/assignment1-basics | import json
import time
from .adapters import run_train_bpe
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
def test_train_bpe():
input_path = FIXTURES_PATH / "corpus.en"
vocab, merges = run_train_bpe(
input_path=input_path,
vocab_size=500,
special_tokens=["<|endoftext|>"],
... | set(reference_vocab.values()) | assert | func_call | tests/test_train_bpe.py | test_train_bpe | 62 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
from .adapters import get_adamw_cls, run_get_lr_cosine_schedule
def _optimize(opt_class) -> torch.Tensor:
torch.manual_seed(42)
model = torch.nn.Linear(3, 2, bias=False)
opt = opt_class(
model.parameters(),
lr=1e-3,
weight_decay=0.01,
betas=(0.9, 0... | numpy.array(expected_lrs)) | assert_* | func_call | tests/test_optimizer.py | test_get_lr_cosine_schedule | 95 | null | |
stanford-cs336/assignment1-basics | from typing import TypeVar
import numpy as np
import pytest
import os
from pathlib import Path
import torch
from torch import Tensor
import pickle
def _canonicalize_array(arr: _A) -> np.ndarray:
if isinstance(arr, Tensor):
arr = arr.detach().cpu().numpy()
return arr
class Snapshot:
def __init__(
... | expected_data[key] | assert | complex_expr | tests/conftest.py | assert_match | Snapshot | 146 | null |
stanford-cs336/assignment1-basics | import json
import time
from .adapters import run_train_bpe
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
def test_train_bpe_special_tokens(snapshot):
"""
Ensure that the special tokens are added to the vocabulary and not
merged with other tokens.
"""
input_path = FIXTURES_PATH / "tinys... | word_bytes | assert | variable | tests/test_train_bpe.py | test_train_bpe_special_tokens | 80 | null | |
stanford-cs336/assignment1-basics | from typing import TypeVar
import numpy as np
import pytest
import os
from pathlib import Path
import torch
from torch import Tensor
import pickle
def _canonicalize_array(arr: _A) -> np.ndarray:
if isinstance(arr, Tensor):
arr = arr.detach().cpu().numpy()
return arr
class NumpySnapshot:
def __ini... | None | assert | none_literal | tests/conftest.py | assert_match | NumpySnapshot | 65 | null |
stanford-cs336/assignment1-basics | import json
import time
from .adapters import run_train_bpe
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
def test_train_bpe_speed():
"""
Ensure that BPE training is relatively efficient by measuring training
time on this small dataset and throwing an error if it takes more than 1.5 seconds.
... | 1.5 | assert | numeric_literal | tests/test_train_bpe.py | test_train_bpe_speed | 24 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
import torch.nn.functional as F
from torch.nn.utils.clip_grad import clip_grad_norm_
from .adapters import run_cross_entropy, run_gradient_clipping, run_softmax
def test_gradient_clipping():
tensors = [torch.randn((5, 5)) for _ in range(6)]
max_norm = 1e-2
t1 = tuple(torch.nn.Pa... | t1_c_grad.detach().numpy()) | assert_* | func_call | tests/test_nn_utils.py | test_gradient_clipping | 85 | null | |
stanford-cs336/assignment1-basics | import json
import time
from .adapters import run_train_bpe
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
def test_train_bpe():
input_path = FIXTURES_PATH / "corpus.en"
vocab, merges = run_train_bpe(
input_path=input_path,
vocab_size=500,
special_tokens=["<|endoftext|>"],
... | reference_merges | assert | variable | tests/test_train_bpe.py | test_train_bpe | 50 | null | |
stanford-cs336/assignment1-basics | from typing import TypeVar
import numpy as np
import pytest
import os
from pathlib import Path
import torch
from torch import Tensor
import pickle
def _canonicalize_array(arr: _A) -> np.ndarray:
if isinstance(arr, Tensor):
arr = arr.detach().cpu().numpy()
return arr
class Snapshot:
def __init__(
... | expected_data | assert | variable | tests/conftest.py | assert_match | Snapshot | 150 | null |
stanford-cs336/assignment1-basics | from __future__ import annotations
import json
import os
import resource
import sys
import psutil
import pytest
import tiktoken
from .adapters import get_tokenizer
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
VOCAB_PATH = FIXTURES_PATH / "gpt2_vocab.json"
MERGES_PATH = FIXTURES_PATH / "gpt2_merges.txt"
... | 1 | assert | numeric_literal | tests/test_tokenizer.py | test_overlapping_special_tokens | 259 | null | |
stanford-cs336/assignment1-basics | import math
from collections import Counter
import numpy as np
import pytest
from .adapters import run_get_batch
def test_get_batch():
dataset = np.arange(0, 100)
context_length = 7
batch_size = 32
device = "cpu"
# Sanity check to make sure that the random samples are indeed somewhat random.
... | y.detach().numpy()) | assert_* | func_call | tests/test_data.py | test_get_batch | 32 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
import torch.nn as nn
import torch.nn.functional as F
from .adapters import get_adamw_cls, run_load_checkpoint, run_save_checkpoint
def are_optimizers_equal(optimizer1_state_dict, optimizer2_state_dict, atol=1e-8, rtol=1e-5):
# Check if the keys of the main dictionaries are equal (e.g., ... | new_model_state[key].detach().numpy()) | assert_* | func_call | tests/test_serialization.py | test_checkpointing | 116 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
import torch.nn as nn
import torch.nn.functional as F
from .adapters import get_adamw_cls, run_load_checkpoint, run_save_checkpoint
def are_optimizers_equal(optimizer1_state_dict, optimizer2_state_dict, atol=1e-8, rtol=1e-5):
# Check if the keys of the main dictionaries are equal (e.g., ... | set(new_optimizer_state.keys()) | assert | func_call | tests/test_serialization.py | test_checkpointing | 112 | null | |
stanford-cs336/assignment1-basics | from __future__ import annotations
import json
import os
import resource
import sys
import psutil
import pytest
import tiktoken
from .adapters import get_tokenizer
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
VOCAB_PATH = FIXTURES_PATH / "gpt2_vocab.json"
MERGES_PATH = FIXTURES_PATH / "gpt2_merges.txt"
... | reference_ids | assert | variable | tests/test_tokenizer.py | test_empty_matches_tiktoken | 98 | null | |
stanford-cs336/assignment1-basics | import json
import time
from .adapters import run_train_bpe
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
def test_train_bpe_special_tokens(snapshot):
"""
Ensure that the special tokens are added to the vocabulary and not
merged with other tokens.
"""
input_path = FIXTURES_PATH / "tinys... | { "vocab_keys": set(vocab.keys()), "vocab_values": set(vocab.values()), "merges": merges, }) | assert_* | collection | tests/test_train_bpe.py | test_train_bpe_special_tokens | 82 | null | |
stanford-cs336/assignment1-basics | from __future__ import annotations
import json
import os
import resource
import sys
import psutil
import pytest
import tiktoken
from .adapters import get_tokenizer
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
VOCAB_PATH = FIXTURES_PATH / "gpt2_vocab.json"
MERGES_PATH = FIXTURES_PATH / "gpt2_merges.txt"
... | [] | assert | collection | tests/test_tokenizer.py | test_empty_matches_tiktoken | 101 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
import torch.nn as nn
import torch.nn.functional as F
from .adapters import get_adamw_cls, run_load_checkpoint, run_save_checkpoint
def are_optimizers_equal(optimizer1_state_dict, optimizer2_state_dict, atol=1e-8, rtol=1e-5):
# Check if the keys of the main dictionaries are equal (e.g., ... | set(new_model_state.keys()) | assert | func_call | tests/test_serialization.py | test_checkpointing | 111 | null | |
stanford-cs336/assignment1-basics | import json
import time
from .adapters import run_train_bpe
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
def test_train_bpe():
input_path = FIXTURES_PATH / "corpus.en"
vocab, merges = run_train_bpe(
input_path=input_path,
vocab_size=500,
special_tokens=["<|endoftext|>"],
... | set(reference_vocab.keys()) | assert | func_call | tests/test_train_bpe.py | test_train_bpe | 61 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
import torch.nn.functional as F
from torch.nn.utils.clip_grad import clip_grad_norm_
from .adapters import run_cross_entropy, run_gradient_clipping, run_softmax
def test_softmax_matches_pytorch():
x = torch.tensor(
[
[0.4655, 0.8303, 0.9608, 0.9656, 0.6840],
... | expected.detach().numpy()) | assert_* | func_call | tests/test_nn_utils.py | test_softmax_matches_pytorch | 18 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
from .adapters import get_adamw_cls, run_get_lr_cosine_schedule
def _optimize(opt_class) -> torch.Tensor:
torch.manual_seed(42)
model = torch.nn.Linear(3, 2, bias=False)
opt = opt_class(
model.parameters(),
lr=1e-3,
weight_decay=0.01,
betas=(0.9, 0... | actual_weights) | assert_* | variable | tests/test_optimizer.py | test_adamw | 46 | null | |
stanford-cs336/assignment1-basics | from __future__ import annotations
import json
import os
import resource
import sys
import psutil
import pytest
import tiktoken
from .adapters import get_tokenizer
from .common import FIXTURES_PATH, gpt2_bytes_to_unicode
VOCAB_PATH = FIXTURES_PATH / "gpt2_vocab.json"
MERGES_PATH = FIXTURES_PATH / "gpt2_merges.txt"
... | 3 | assert | numeric_literal | tests/test_tokenizer.py | test_roundtrip_unicode_string_with_special_tokens | 227 | null | |
stanford-cs336/assignment1-basics | import numpy
import torch
import torch.nn.functional as F
from torch.nn.utils.clip_grad import clip_grad_norm_
from .adapters import run_cross_entropy, run_gradient_clipping, run_softmax
def test_cross_entropy():
inputs = torch.tensor(
[
[
[0.1088, 0.1060, 0.6683, 0.5131, 0.064... | large_expected_cross_entropy.detach().numpy()) | assert_* | func_call | tests/test_nn_utils.py | test_cross_entropy | 55 | null | |
stanford-cs336/assignment1-basics | import math
from collections import Counter
import numpy as np
import pytest
from .adapters import run_get_batch
def test_get_batch():
dataset = np.arange(0, 100)
context_length = 7
batch_size = 32
device = "cpu"
# Sanity check to make sure that the random samples are indeed somewhat random.
... | (RuntimeError, AssertionError)) | pytest.raises | collection | tests/test_data.py | test_get_batch | 62 | null | |
stanford-cs336/assignment1-basics | from einops import rearrange
import numpy
import torch
import torch.nn.functional as F
from .adapters import (
run_multihead_self_attention_with_rope,
run_rope,
run_silu,
run_multihead_self_attention,
run_swiglu,
run_rmsnorm,
run_scaled_dot_product_attention,
run_transformer_block,
... | expected_output.detach().numpy()) | assert_* | func_call | tests/test_model.py | test_silu_matches_pytorch | 202 | null |
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