repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_isort_works.py | test_isort_works | assert | variable | 41 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import pytest
from nbqa.__main__ import UnsupportedPackageVersionError, main
def test_isort_works(tmp_notebook_for_testing: Path, capsys: "CaptureFixture") -> None:
"""
Check isort works.
Param... | expected | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_isort_works.py | test_isort_works | assert | variable | 47 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import pytest
from nbqa.__main__ import UnsupportedPackageVersionError, main
def test_isort_works(tmp_notebook_for_testing: Path, capsys: "CaptureFixture") -> None:
"""
Check isort works.
Param... | expected_out | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_isort_works.py | test_isort_works | assert | variable | 48 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import pytest
from nbqa.__main__ import UnsupportedPackageVersionError, main
def test_isort_works(tmp_notebook_for_testing: Path, capsys: "CaptureFixture") -> None:
"""
Check isort works.
Param... | expected_err | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_isort_works.py | test_old_isort_separated_imports | assert | variable | 27 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import pytest
from nbqa.__main__ import UnsupportedPackageVersionError, main
def test_old_isort_separated_imports(tmp_test_data: Path) -> None:
"""
Check isort works when a notebook has imports in d... | before_mtime | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_isort_works.py | test_old_isort | assert | func_call | 26 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import pytest
from nbqa.__main__ import UnsupportedPackageVersionError, main
def test_old_isort(monkeypatch: "MonkeyPatch") -> None:
"""
Check that using an old version of isort will raise an error.... | str(excinfo.value) | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_isort_works.py | test_old_isort | pytest.raises | variable | 22 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import pytest
from nbqa.__main__ import UnsupportedPackageVersionError, main
def test_old_isort(monkeypatch: "MonkeyPatch") -> None:
"""
Check that using an old version of isort will raise an error.... | UnsupportedPackageVersionError) | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_mypy_works.py | test_mypy_with_local_import | assert | variable | 28 | import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_mypy_with_local_import(capsys: "CaptureFixture") -> None:
"""
Check mypy can find local import.
Parameters
----------
capsys
Pytest fixture to capture st... | expected | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_mypy_works.py | test_mypy_works | assert | func_call | 41 | import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_mypy_works(capsys: "CaptureFixture") -> None:
"""
Check mypy works. Shouldn't alter the notebook content.
Parameters
----------
capsys
Pytest fixture to ... | sorted(expected_out.splitlines()) | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_mypy_works.py | test_mypy_works | assert | func_call | 42 | import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_mypy_works(capsys: "CaptureFixture") -> None:
"""
Check mypy works. Shouldn't alter the notebook content.
Parameters
----------
capsys
Pytest fixture to ... | sorted(expected_err.splitlines()) | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_pydocstyle.py | test_pydocstyle_works | assert | string_literal | 30 | import os
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_pydocstyle_works(capsys: "CaptureFixture") -> None:
"""
Check pydocstyle works.
Parameters
----------
capsys
Pytest fixture to capture stdout and stderr.
"""
path = os.path.join("tests", "data", "no... | "" | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_pydocstyle.py | test_pydocstyle_works | assert | variable | 29 | import os
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_pydocstyle_works(capsys: "CaptureFixture") -> None:
"""
Check pydocstyle works.
Parameters
----------
capsys
Pytest fixture to capture stdout and stderr.
"""
path = os.path.join("tests", "data", "no... | expected_out | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_pylint_works.py | test_pylint_works | assert | func_call | 48 | import os
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_pylint_works(capsys: "CaptureFixture") -> None:
"""
Check pylint works. Check all the warnings raised by pylint on the notebook.
Parameters
----------
capsys
Pytest fixture to capture stdout and stderr.
... | expected_out.split(horizontal_bar)[0] | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_pyupgrade.py | test_pyupgrade_works_with_empty_file | assert | string_literal | 24 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_pyupgrade_works_with_empty_file(capsys: "CaptureFixture") -> None:
"""
Check pyupgrade works with empty notebook.
Parameters
----------
capsys
... | "" | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_pyupgrade.py | test_pyupgrade | assert | variable | 47 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_pyupgrade(tmp_notebook_for_testing: Path, capsys: "CaptureFixture") -> None:
"""
Check pyupgrade works. Should only reformat code cells.
Parameters
--... | expected | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_pyupgrade.py | test_pyupgrade | assert | variable | 53 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_pyupgrade(tmp_notebook_for_testing: Path, capsys: "CaptureFixture") -> None:
"""
Check pyupgrade works. Should only reformat code cells.
Parameters
--... | expected_out | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_pyupgrade.py | test_pyupgrade | assert | variable | 54 | import difflib
import os
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_pyupgrade(tmp_notebook_for_testing: Path, capsys: "CaptureFixture") -> None:
"""
Check pyupgrade works. Should only reformat code cells.
Parameters
--... | expected_err | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nbQA-dev/nbQA | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | train | train | tests/tools/test_yapf.py | test_successive_runs_using_yapf | assert | variable | 51 | import os
from pathlib import Path
from shutil import copyfile
from typing import TYPE_CHECKING
from nbqa.__main__ import main
def test_successive_runs_using_yapf(
tmpdir: "LocalPath", capsys: "CaptureFixture"
) -> None:
"""Check yapf returns 0 on the second run given a dirty notebook."""
src_notebook = P... | expected_out | 547020ccfb0e10801877ab699671636c11e119c1 | 141 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | docs/conf.py | linkcode_resolve | assert | string_literal | 52 | import re
import fnmatch
import argparse
from pathlib import Path
import os
import sys
import importlib
import inspect
sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "_ext"))
project = 'NerfBaselines'
copyright = '2024, Jonas Kulhanek'
author = 'Jonas Kulhanek'
extensions = [
'sphinx.... | "py" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/cli/_test_method.py | test_render | assert_* | variable | 175 | import contextlib
import traceback
import sys
import json
import glob
import pprint
import logging
import os
import numpy as np
import click
from PIL import Image
import tempfile
from tqdm import trange
import nerfbaselines
from typing import Type
from nerfbaselines import (
build_method_class,
MethodSpec,
... | v2) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/cli/_test_method.py | main | assert | none_literal | 239 | import contextlib
import traceback
import sys
import json
import glob
import pprint
import logging
import os
import numpy as np
import click
from PIL import Image
import tempfile
from tqdm import trange
import nerfbaselines
from typing import Type
from nerfbaselines import (
build_method_class,
MethodSpec,
... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/cli/_test_method.py | main | assert_* | variable | 458 | import contextlib
import traceback
import sys
import json
import glob
import pprint
import logging
import os
import numpy as np
import click
from PIL import Image
import tempfile
from tqdm import trange
import nerfbaselines
from typing import Type
from nerfbaselines import (
build_method_class,
MethodSpec,
... | im2) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/cli/_test_method.py | main | assert | variable | 318 | import contextlib
import traceback
import sys
import json
import glob
import pprint
import logging
import os
import numpy as np
import click
from PIL import Image
import tempfile
from tqdm import trange
import nerfbaselines
from typing import Type
from nerfbaselines import (
build_method_class,
MethodSpec,
... | steps | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/cli/_test_method.py | test_render | assert | variable | 170 | import contextlib
import traceback
import sys
import json
import glob
import pprint
import logging
import os
import numpy as np
import click
from PIL import Image
import tempfile
from tqdm import trange
import nerfbaselines
from typing import Type
from nerfbaselines import (
build_method_class,
MethodSpec,
... | render2_out | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/cli/_test_method.py | test_render | assert | func_call | 168 | import contextlib
import traceback
import sys
import json
import glob
import pprint
import logging
import os
import numpy as np
import click
from PIL import Image
import tempfile
from tqdm import trange
import nerfbaselines
from typing import Type
from nerfbaselines import (
build_method_class,
MethodSpec,
... | len(render2_out) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/cli/_test_method.py | test_render | assert | func_call | 172 | import contextlib
import traceback
import sys
import json
import glob
import pprint
import logging
import os
import numpy as np
import click
from PIL import Image
import tempfile
from tqdm import trange
import nerfbaselines
from typing import Type
from nerfbaselines import (
build_method_class,
MethodSpec,
... | getattr(v2, "shape", v2) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/results.py | _process_data_for_formatting | assert | none_literal | 406 | import sys
import contextlib
import logging
from unittest import mock
import math
from typing import List, Dict, Any, cast, Union, Type, Iterator, Optional
import base64
import os
import struct
from pathlib import Path
import json
import warnings
import numpy as np
from .io import open_any
from . import (
metrics, ... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/results.py | get_method_info_from_spec | assert | func_call | 145 | import sys
import contextlib
import logging
from unittest import mock
import math
from typing import List, Dict, Any, cast, Union, Type, Iterator, Optional
import base64
import os
import struct
from pathlib import Path
import json
import warnings
import numpy as np
from .io import open_any
from . import (
metrics, ... | tuple(supported_outputs) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/results.py | get_method_info_from_spec | assert | func_call | 143 | import sys
import contextlib
import logging
from unittest import mock
import math
from typing import List, Dict, Any, cast, Union, Type, Iterator, Optional
import base64
import os
import struct
from pathlib import Path
import json
import warnings
import numpy as np
from .io import open_any
from . import (
metrics, ... | frozenset(required_features) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | nerfbaselines/results.py | get_method_info_from_spec | assert | func_call | 141 | import sys
import contextlib
import logging
from unittest import mock
import math
from typing import List, Dict, Any, cast, Union, Type, Iterator, Optional
import base64
import os
import struct
from pathlib import Path
import json
import warnings
import numpy as np
from .io import open_any
from . import (
metrics, ... | frozenset(supported_camera_models) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | scripts/has_method_changed.py | get_dependency_tree | assert | none_literal | 73 | from unittest import mock
import argparse
import sys
import re
import os
import ast
from functools import lru_cache
def _get_file_imports(file_path, module_path):
with open(file_path, "r") as file:
tree = ast.parse(file.read(), filename=file_path)
offset_level = 1 if file_path.endswith("__init__.py") ... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/conftest.py | run_test_train | assert | variable | 161 | import tarfile
import json
import sys
import pickle
from functools import partial
import inspect
from unittest import mock
import contextlib
import os
import pytest
from pathlib import Path
import numpy as np
from PIL import Image
def patch_modules(update):
_empty = object()
old_values = {k: sys.modules.get(k,... | info | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/conftest.py | run_test_train | assert | none_literal | 173 | import tarfile
import json
import sys
import pickle
from functools import partial
import inspect
from unittest import mock
import contextlib
import os
import pytest
from pathlib import Path
import numpy as np
from PIL import Image
def patch_modules(update):
_empty = object()
old_values = {k: sys.modules.get(k,... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/conftest.py | run_test_train_fixture | assert | variable | 222 | import tarfile
import json
import sys
import pickle
from functools import partial
import inspect
from unittest import mock
import contextlib
import os
import pytest
from pathlib import Path
import numpy as np
from PIL import Image
def patch_modules(update):
_empty = object()
old_values = {k: sys.modules.get(k,... | test_name | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/conftest.py | run_test_train | assert_* | variable | 191 | import tarfile
import json
import sys
import pickle
from functools import partial
import inspect
from unittest import mock
import contextlib
import os
import pytest
from pathlib import Path
import numpy as np
from PIL import Image
def patch_modules(update):
_empty = object()
old_values = {k: sys.modules.get(k,... | render_old) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/methods/_test_ingp.py | _set_camera_to_training_view | assert | none_literal | 15 | from enum import Enum
from pathlib import Path
import tempfile
import pytest
import contextlib
import numpy as np
import sys
from unittest import mock
METHOD_NAME = "instant-ngp"
def _set_camera_to_training_view(x):
nonlocal test_view
assert image_sizes is not | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/methods/_test_multinerf.py | render_image | assert | none_literal | 24 | from pathlib import Path
import functools
from typing import cast
import os
import gc
import contextlib
import pytest
import numpy as np
import sys
from unittest import mock
import nerfbaselines._registry
def _enable_gc(fn):
@functools.wraps(fn)
def wrapper(*args, **kwargs):
out = fn(*args, **kwargs)
... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/methods/_test_nerfstudio.py | setup | assert | none_literal | 13 | from pathlib import Path
from collections import defaultdict
import os
from dataclasses import dataclass, field
from typing import Any, cast
import enum
import pytest
import sys
from unittest import mock
def setup():
assert config is not | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_backends.py | test_docker_get_dockerfile | assert | numeric_literal | 13 | import pytest
from nerfbaselines import get_supported_methods, get_method_spec
@pytest.mark.parametrize("method_name", [pytest.param(k, marks=[pytest.mark.method(k)]) for k in get_supported_methods("docker")])
def test_docker_get_dockerfile(method_name):
from nerfbaselines.backends._docker import docker_get_docker... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_backends.py | test_docker_get_dockerfile | assert | none_literal | 10 | import pytest
from nerfbaselines import get_supported_methods, get_method_spec
@pytest.mark.parametrize("method_name", [pytest.param(k, marks=[pytest.mark.method(k)]) for k in get_supported_methods("docker")])
def test_docker_get_dockerfile(method_name):
from nerfbaselines.backends._docker import docker_get_docker... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cameras.py | test_camera_undistort_opencv | assert | none_literal | 58 | import pytest
import numpy as np
from nerfbaselines import cameras
from nerfbaselines import camera_model_to_int, CameraModel, new_cameras
from nerfbaselines._types import _get_xnp
def _build_camera(camera_model: CameraModel, intrinsics, distortion_parameters=None, image_sizes=None):
if image_sizes is None:
... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cameras.py | _test_cam_to_cam_from_img | assert_* | variable | 29 | import pytest
import numpy as np
from nerfbaselines import cameras
from nerfbaselines import camera_model_to_int, CameraModel, new_cameras
from nerfbaselines._types import _get_xnp
def _build_camera(camera_model: CameraModel, intrinsics, distortion_parameters=None, image_sizes=None):
if image_sizes is None:
... | uv0) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cameras.py | _test_cam_from_img_to_img | assert_* | variable | 38 | import pytest
import numpy as np
from nerfbaselines import cameras
from nerfbaselines import camera_model_to_int, CameraModel, new_cameras
from nerfbaselines._types import _get_xnp
def _build_camera(camera_model: CameraModel, intrinsics, distortion_parameters=None, image_sizes=None):
if image_sizes is None:
... | xy0) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cameras.py | test_distortions | assert_* | variable | 21 | import pytest
import numpy as np
from nerfbaselines import cameras
from nerfbaselines import camera_model_to_int, CameraModel, new_cameras
from nerfbaselines._types import _get_xnp
@pytest.mark.parametrize("camera_type", get_args(CameraModel))
def test_distortions(camera_type: CameraModel):
num_samples = 10000
... | new_xy) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cameras.py | test_camera | assert_* | variable | 30 | import pytest
import numpy as np
from nerfbaselines import cameras
from nerfbaselines import camera_model_to_int, CameraModel, new_cameras
from nerfbaselines._types import _get_xnp
@pytest.mark.parametrize("camera_type", get_args(CameraModel))
def test_camera(camera_type):
np.random.seed(42)
num_cam = 10
r... | xy_new) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cameras.py | test_get_image_pixels_shape | assert | complex_expr | 60 | import pytest
import numpy as np
from nerfbaselines import cameras
from nerfbaselines import camera_model_to_int, CameraModel, new_cameras
from nerfbaselines._types import _get_xnp
def _build_camera(camera_model: CameraModel, intrinsics, distortion_parameters=None, image_sizes=None):
if image_sizes is None:
... | np.int32 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cameras.py | test_get_rays_shapes | assert | complex_expr | 62 | import pytest
import numpy as np
from nerfbaselines import cameras
from nerfbaselines import camera_model_to_int, CameraModel, new_cameras
from nerfbaselines._types import _get_xnp
def _build_camera(camera_model: CameraModel, intrinsics, distortion_parameters=None, image_sizes=None):
if image_sizes is None:
... | np.float32 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_cli.py | test_cli_command | assert | numeric_literal | 31 | import sys
from click import Command
import pytest
from unittest import mock
@pytest.mark.parametrize("args", [
"fix-checkpoint --checkpoint checkpoint --data data --new-checkpoint new_checkpoint".split(),
"train --data data --method zipnerf --checkpoint checkpoint --output output".split(),
"render --data ... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_communication.py | test_render | assert | numeric_literal | 47 | from functools import partial
from unittest import mock
import contextlib
import pytest
from typing import Iterable
import numpy as np
from time import sleep
from nerfbaselines import Method, MethodInfo, RenderOutput, ModelInfo, new_cameras
from nerfbaselines.utils import CancellationToken, CancelledException
def test... | 23 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_communication.py | intercept | assert | string_literal | 67 | from functools import partial
from unittest import mock
import contextlib
import pytest
from typing import Iterable
import numpy as np
from time import sleep
from nerfbaselines import Method, MethodInfo, RenderOutput, ModelInfo, new_cameras
from nerfbaselines.utils import CancellationToken, CancelledException
def use_... | f'{compute_metrics.__module__}:{compute_metrics.__name__}' | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_communication.py | intercept | assert | string_literal | 67 | from functools import partial
from unittest import mock
import contextlib
import pytest
from typing import Iterable
import numpy as np
from time import sleep
from nerfbaselines import Method, MethodInfo, RenderOutput, ModelInfo, new_cameras
from nerfbaselines.utils import CancellationToken, CancelledException
def use_... | f'{get_resources_utilization_info.__module__}:{get_resources_utilization_info.__name__}' | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_datasets.py | test_phototourism_evaluation_protocol | assert | numeric_literal | 89 | import numpy as np
import json
import os
from unittest import mock
import contextlib
import pytest
def _test_generic_dataset(tmp_path, dataset_name, scene, train_size, test_size):
from nerfbaselines.datasets import load_dataset
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch("nerf... | 2 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_datasets.py | test_phototourism_evaluation_protocol | assert | numeric_literal | 91 | import numpy as np
import json
import os
from unittest import mock
import contextlib
import pytest
def _test_generic_dataset(tmp_path, dataset_name, scene, train_size, test_size):
from nerfbaselines.datasets import load_dataset
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch("nerf... | 1 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_datasets.py | test_all_dataset_tested | assert | numeric_literal | 71 | import numpy as np
import json
import os
from unittest import mock
import contextlib
import pytest
def _test_generic_dataset(tmp_path, dataset_name, scene, train_size, test_size):
from nerfbaselines.datasets import load_dataset
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch("nerf... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_datasets.py | test_phototourism_evaluation_protocol | assert | none_literal | 93 | import numpy as np
import json
import os
from unittest import mock
import contextlib
import pytest
def _test_generic_dataset(tmp_path, dataset_name, scene, train_size, test_size):
from nerfbaselines.datasets import load_dataset
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch("nerf... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_datasets.py | test_blender_dataset | assert | string_literal | 70 | import numpy as np
import json
import os
from unittest import mock
import contextlib
import pytest
def _test_generic_dataset(tmp_path, dataset_name, scene, train_size, test_size):
from nerfbaselines.datasets import load_dataset
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch("nerf... | "nerf" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_datasets.py | test_phototourism_dataset | assert | string_literal | 68 | import numpy as np
import json
import os
from unittest import mock
import contextlib
import pytest
def _test_generic_dataset(tmp_path, dataset_name, scene, train_size, test_size):
from nerfbaselines.datasets import load_dataset
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch("nerf... | "nerfw" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_datasets.py | test_tanksandtemples_dataset | assert | string_literal | 68 | import numpy as np
import json
import os
from unittest import mock
import contextlib
import pytest
def _test_generic_dataset(tmp_path, dataset_name, scene, train_size, test_size):
from nerfbaselines.datasets import load_dataset
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch("nerf... | "default" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_evaluate.py | test_evaluate_command_extras | assert | numeric_literal | 51 | import sys
from unittest import mock
import pytest
import os
import json
import numpy as np
from pathlib import Path
import tarfile
from PIL import Image
from nerfbaselines.evaluation import evaluate
def _generate_predictions(path, background_color=None):
path = Path(path)
for i in range(100):
(path /... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_evaluate.py | test_evaluate_command_extras | pytest.raises | variable | 49 | import sys
from unittest import mock
import pytest
import os
import json
import numpy as np
from pathlib import Path
import tarfile
from PIL import Image
from nerfbaselines.evaluation import evaluate
def _generate_predictions(path, background_color=None):
path = Path(path)
for i in range(100):
(path /... | SystemExit) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_evaluate.py | test_evaluate_folder | pytest.raises | variable | 50 | import sys
from unittest import mock
import pytest
import os
import json
import numpy as np
from pathlib import Path
import tarfile
from PIL import Image
from nerfbaselines.evaluation import evaluate
def _generate_predictions(path, background_color=None):
path = Path(path)
for i in range(100):
(path /... | FileExistsError) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_evaluate.py | test_evaluate_folder | assert | complex_expr | 48 | import sys
from unittest import mock
import pytest
import os
import json
import numpy as np
from pathlib import Path
import tarfile
from PIL import Image
from nerfbaselines.evaluation import evaluate
def _generate_predictions(path, background_color=None):
path = Path(path)
for i in range(100):
(path /... | results["metrics"] | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_io.py | test_open_any | assert | string_literal | 17 | from pathlib import Path
def test_open_any(tmp_path):
from nerfbaselines.io import open_any
# Test nested archives
with open_any(tmp_path / "tests"/"data.zip"/"obj.tar.gz"/"test"/"test.zip"/"nerf_synthetic"/"data.txt", "w") as f:
f.write(b"Hello world")
assert (tmp_path / "tests"/"data.zip").... | "Hello world" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_io.py | test_open_any_directory | assert | string_literal | 20 | from pathlib import Path
def test_open_any_directory(tmp_path):
from nerfbaselines.io import open_any_directory, open_any
with open_any_directory(tmp_path / "data.zip/obj.tar.gz/test/test.zip/ok/pass.zip", "w") as _path:
path = Path(_path)
(path / "data.txt").write_text("Hello world2")
... | "Hello world2" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_io.py | test_open_any_directory | assert | string_literal | 26 | from pathlib import Path
def test_open_any_directory(tmp_path):
from nerfbaselines.io import open_any_directory, open_any
with open_any_directory(tmp_path / "data.zip/obj.tar.gz/test/test.zip/ok/pass.zip", "w") as _path:
path = Path(_path)
(path / "data.txt").write_text("Hello world2")
... | b"Hello world2" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | test_supported_methods | assert | numeric_literal | 21 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | test_method_conda | assert | none_literal | 28 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | test_supported_methods | assert | variable | 22 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | methods | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | new_execvpe | assert | complex_expr | 20 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | argv[0] | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | test_method_conda | assert | string_literal | 29 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | "conda" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | test_method_docker | assert | string_literal | 29 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | "docker" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | test_method_conda | assert | variable | 30 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | method_name | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_methods.py | test_method_apptainer | assert | string_literal | 42 | from unittest import mock
import contextlib
import numpy as np
import pytest
from nerfbaselines import (
get_supported_methods,
get_method_spec,
)
from nerfbaselines.training import (
get_presets_and_config_overrides,
)
from nerfbaselines import build_method_class
from nerfbaselines.datasets import load_dat... | "apptainer" | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_metrics.py | test_metric | assert | variable | 28 | import sys
from typing import cast
import numpy as np
import pytest
from nerfbaselines.metrics import torchmetrics_ssim, dmpix_ssim
from nerfbaselines import metrics
@pytest.mark.filterwarnings("ignore::UserWarning:torchvision")
@pytest.mark.parametrize("metric", ["torchmetrics_ssim", "dmpix_ssim", "ssim", "mse", "mae... | bs | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_metrics.py | test_torchmetrics_ssim | assert | collection | 36 | import sys
from typing import cast
import numpy as np
import pytest
from nerfbaselines.metrics import torchmetrics_ssim, dmpix_ssim
from nerfbaselines import metrics
@pytest.mark.extras
@pytest.mark.filterwarnings("ignore::UserWarning:torchvision")
@pytest.mark.parametrize("kernel_size", [None, 3])
@pytest.mark.parame... | (3,) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_metrics.py | test_psnr | assert_* | variable | 31 | import sys
from typing import cast
import numpy as np
import pytest
from nerfbaselines.metrics import torchmetrics_ssim, dmpix_ssim
from nerfbaselines import metrics
def test_psnr():
np.random.seed(42)
batch_shapes = [
(3,),
(2, 2),
(
2,
1,
1,
... | val2) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_metrics.py | test_metric | pytest.raises | variable | 31 | import sys
from typing import cast
import numpy as np
import pytest
from nerfbaselines.metrics import torchmetrics_ssim, dmpix_ssim
from nerfbaselines import metrics
@pytest.mark.filterwarnings("ignore::UserWarning:torchvision")
@pytest.mark.parametrize("metric", ["torchmetrics_ssim", "dmpix_ssim", "ssim", "mse", "mae... | Exception) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_metrics.py | test_torchmetrics_ssim | assert_* | variable | 42 | import sys
from typing import cast
import numpy as np
import pytest
from nerfbaselines.metrics import torchmetrics_ssim, dmpix_ssim
from nerfbaselines import metrics
@pytest.mark.extras
@pytest.mark.filterwarnings("ignore::UserWarning:torchvision")
@pytest.mark.parametrize("kernel_size", [None, 3])
@pytest.mark.parame... | reference2) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_metrics.py | test_torchmetrics_ssim | assert_* | variable | 37 | import sys
from typing import cast
import numpy as np
import pytest
from nerfbaselines.metrics import torchmetrics_ssim, dmpix_ssim
from nerfbaselines import metrics
@pytest.mark.extras
@pytest.mark.filterwarnings("ignore::UserWarning:torchvision")
@pytest.mark.parametrize("kernel_size", [None, 3])
@pytest.mark.parame... | reference_ssim) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_method_autocast_render | assert | numeric_literal | 34 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def test_method_autocast_render():
from nerfbaselines import build_method_class
from nerfbaselines import new_cameras
with build_method_class({ "id": "te... | 2 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_register_environment_variable | assert | numeric_literal | 35 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def test_register_environment_variable(tmp_path):
from nerfbaselines._registry import _discover_specs
(tmp_path / "test1.py").write_text(f"""
from nerfbasel... | 1 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_install_method_spec | assert | numeric_literal | 52 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def _patch_registry():
with contextlib.ExitStack() as stack:
from nerfbaselines import _registry as registry
stack.enter_context(mock.patch.objec... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_register_environment_variable_does_not_override_default | assert | none_literal | 44 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def _patch_registry():
with contextlib.ExitStack() as stack:
from nerfbaselines import _registry as registry
stack.enter_context(mock.patch.objec... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_get_presets_to_apply | assert | func_call | 42 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def test_get_presets_to_apply():
from nerfbaselines import MethodSpec
from nerfbaselines.training import get_presets_and_config_overrides
spec: MethodSp... | set(()) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_method_autocast_render | assert | collection | 30 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def test_method_autocast_render():
from nerfbaselines import build_method_class
from nerfbaselines import new_cameras
with build_method_class({ "id": "te... | (23, 30) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_install_method_spec | pytest.raises | variable | 49 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def _patch_registry():
with contextlib.ExitStack() as stack:
from nerfbaselines import _registry as registry
stack.enter_context(mock.patch.objec... | SystemExit) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_registry.py | test_get_presets_to_apply | assert | func_call | 38 | import pytest
import os
import sys
import contextlib
from unittest import mock
from nerfbaselines import Method, MethodInfo, ModelInfo
import numpy as np
def test_get_presets_to_apply():
from nerfbaselines import MethodSpec
from nerfbaselines.training import get_presets_and_config_overrides
spec: MethodSp... | set(("p1",)) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_render_frames.py | _test_render_trajectory_command | assert | numeric_literal | 66 | import pytest
import os
import numpy as np
from typing import Optional, TypeVar
from unittest import mock
from unittest.mock import MagicMock
from nerfbaselines import Method, new_cameras
from nerfbaselines import evaluation
from PIL import Image
import tarfile
import zipfile
from typeguard import suppress_type_checks
... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_render_frames.py | _assert_not_none | assert | none_literal | 18 | import pytest
import os
import numpy as np
from typing import Optional, TypeVar
from unittest import mock
from unittest.mock import MagicMock
from nerfbaselines import Method, new_cameras
from nerfbaselines import evaluation
from PIL import Image
import tarfile
import zipfile
from typeguard import suppress_type_checks
... | None | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_render_frames.py | _verify_folder_single | assert | variable | 151 | import pytest
import os
import numpy as np
from typing import Optional, TypeVar
from unittest import mock
from unittest.mock import MagicMock
from nerfbaselines import Method, new_cameras
from nerfbaselines import evaluation
from PIL import Image
import tarfile
import zipfile
from typeguard import suppress_type_checks
... | members | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_render_frames.py | _verify_folder_single | assert | variable | 148 | import pytest
import os
import numpy as np
from typing import Optional, TypeVar
from unittest import mock
from unittest.mock import MagicMock
from nerfbaselines import Method, new_cameras
from nerfbaselines import evaluation
from PIL import Image
import tarfile
import zipfile
from typeguard import suppress_type_checks
... | num_cams | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_render_frames.py | _verify_folder_single | assert | collection | 153 | import pytest
import os
import numpy as np
from typing import Optional, TypeVar
from unittest import mock
from unittest.mock import MagicMock
from nerfbaselines import Method, new_cameras
from nerfbaselines import evaluation
from PIL import Image
import tarfile
import zipfile
from typeguard import suppress_type_checks
... | (20, 30) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_results.py | assert_compile_dataset_results_correct | assert | numeric_literal | 51 | import json
import sys
import pytest
from typing import Any, cast
from unittest import mock
from nerfbaselines import get_supported_methods, get_supported_datasets
from nerfbaselines.results import render_markdown_dataset_results_table
def mock_results(results_path, datasets, methods):
from nerfbaselines import ge... | 0 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_results.py | test_render_markdown_dataset_results_table | assert | numeric_literal | 162 | import json
import sys
import pytest
from typing import Any, cast
from unittest import mock
from nerfbaselines import get_supported_methods, get_supported_datasets
from nerfbaselines.results import render_markdown_dataset_results_table
def mock_results(results_path, datasets, methods):
from nerfbaselines import ge... | 4 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_results.py | assert_compile_dataset_results_correct | assert | variable | 66 | import json
import sys
import pytest
from typing import Any, cast
from unittest import mock
from nerfbaselines import get_supported_methods, get_supported_datasets
from nerfbaselines.results import render_markdown_dataset_results_table
def mock_results(results_path, datasets, methods):
from nerfbaselines import ge... | method | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_results.py | test_get_supported_datasets | assert | variable | 41 | import json
import sys
import pytest
from typing import Any, cast
from unittest import mock
from nerfbaselines import get_supported_methods, get_supported_datasets
from nerfbaselines.results import render_markdown_dataset_results_table
def mock_results(results_path, datasets, methods):
from nerfbaselines import ge... | datasets | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_results.py | test_compile_dataset_results | assert_* | variable | 83 | import json
import sys
import pytest
from typing import Any, cast
from unittest import mock
from nerfbaselines import get_supported_methods, get_supported_datasets
from nerfbaselines.results import render_markdown_dataset_results_table
def mock_results(results_path, datasets, methods):
from nerfbaselines import ge... | dataset) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_results.py | test_render_dataset_results_json_capture_command | pytest.raises | variable | 83 | import json
import sys
import pytest
from typing import Any, cast
from unittest import mock
from nerfbaselines import get_supported_methods, get_supported_datasets
from nerfbaselines.results import render_markdown_dataset_results_table
def mock_results(results_path, datasets, methods):
from nerfbaselines import ge... | SystemExit) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_results.py | test_render_markdown_dataset_results_table | assert | func_call | 164 | import json
import sys
import pytest
from typing import Any, cast
from unittest import mock
from nerfbaselines import get_supported_methods, get_supported_datasets
from nerfbaselines.results import render_markdown_dataset_results_table
def mock_results(results_path, datasets, methods):
from nerfbaselines import ge... | len(lines[0]) | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_rpc.py | test_rpc_backend_instance | assert | numeric_literal | 44 | import pytest
import os
import sys
from functools import partial
import threading
import pytest
import time
from time import sleep
import gc
from typeguard import typeguard_ignore
from unittest import mock
from nerfbaselines.utils import CancelledException, CancellationToken
from nerfbaselines.backends._common import ... | 1 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
nerfbaselines/nerfbaselines | ef71998824668788299851085740a552695cc5d1 | 90 | train | train | tests/test_rpc.py | test_rpc_backend_instance | assert | numeric_literal | 50 | import pytest
import os
import sys
from functools import partial
import threading
import pytest
import time
from time import sleep
import gc
from typeguard import typeguard_ignore
from unittest import mock
from nerfbaselines.utils import CancelledException, CancellationToken
from nerfbaselines.backends._common import ... | 3 | ef71998824668788299851085740a552695cc5d1 | 90 | v2_extractor_at_anchor |
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