code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
values |
|---|---|---|---|---|---|---|---|
def test_extract_pdf_with_pdfium_integration():
"""
Integration test for the extract_pdf_with_pdfium function.
Verifies that the PDFium-based extraction correctly processes a test PDF document
and returns a DataFrame with the expected structure and content.
"""
# Get the test file path
test... |
Integration test for the extract_pdf_with_pdfium function.
Verifies that the PDFium-based extraction correctly processes a test PDF document
and returns a DataFrame with the expected structure and content.
| test_extract_pdf_with_pdfium_integration | python | NVIDIA/nv-ingest | api/api_tests/interface/test_extract.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_extract.py | Apache-2.0 |
def test_extract_pdf_with_nemoretriever_integration():
"""
Integration test for the extract_pdf_with_nemoretriever function.
Verifies that the NemoRetriever Parse extraction correctly processes a test PDF document
and returns a DataFrame with the expected structure and content.
"""
# Get the te... |
Integration test for the extract_pdf_with_nemoretriever function.
Verifies that the NemoRetriever Parse extraction correctly processes a test PDF document
and returns a DataFrame with the expected structure and content.
| test_extract_pdf_with_nemoretriever_integration | python | NVIDIA/nv-ingest | api/api_tests/interface/test_extract.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_extract.py | Apache-2.0 |
def test_extract_infographic_data_from_image_integration():
"""
Integration test for the extract_infographic_data_from_image function.
This test verifies that the infographic extraction pipeline correctly processes
image data and augments the DataFrame with extracted information.
"""
# Build a ... |
Integration test for the extract_infographic_data_from_image function.
This test verifies that the infographic extraction pipeline correctly processes
image data and augments the DataFrame with extracted information.
| test_extract_infographic_data_from_image_integration | python | NVIDIA/nv-ingest | api/api_tests/interface/test_extract.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_extract.py | Apache-2.0 |
def test_extract_table_data_from_image_integration():
"""
Integration test for the extract_table_data_from_image function.
This test verifies that the table extraction pipeline correctly processes
image data and updates the DataFrame with extracted table content.
"""
# Get the test file path fr... |
Integration test for the extract_table_data_from_image function.
This test verifies that the table extraction pipeline correctly processes
image data and updates the DataFrame with extracted table content.
| test_extract_table_data_from_image_integration | python | NVIDIA/nv-ingest | api/api_tests/interface/test_extract.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_extract.py | Apache-2.0 |
def test_extract_chart_data_from_image_integration():
"""
Integration test for the extract_chart_data_from_image function.
This test verifies that the chart extraction pipeline correctly processes
image data and updates the DataFrame with extracted chart content.
"""
# At the beginning of the t... |
Integration test for the extract_chart_data_from_image function.
This test verifies that the chart extraction pipeline correctly processes
image data and updates the DataFrame with extracted chart content.
| test_extract_chart_data_from_image_integration | python | NVIDIA/nv-ingest | api/api_tests/interface/test_extract.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_extract.py | Apache-2.0 |
def test_with_multiple_tuple_input(self, mock_internal, mock_build_df):
"""Test transform_image_create_vlm_caption with list of tuples input."""
# Setup
file_paths = ["image1.png", "image2.png"]
doc_types = [DocumentTypeEnum.PNG, DocumentTypeEnum.PNG]
input_df = pd.DataFrame(
... | Test transform_image_create_vlm_caption with list of tuples input. | test_with_multiple_tuple_input | python | NVIDIA/nv-ingest | api/api_tests/interface/test_interface.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_interface.py | Apache-2.0 |
def test_with_list_of_strings_input(self, mock_internal, mock_build_df):
"""Test transform_text_split_and_tokenize with list of strings input."""
# Setup
input_texts = ["Document one.", "Document two."]
input_df = pd.DataFrame(
{
"source_name": ["text_0", "te... | Test transform_text_split_and_tokenize with list of strings input. | test_with_list_of_strings_input | python | NVIDIA/nv-ingest | api/api_tests/interface/test_interface.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_interface.py | Apache-2.0 |
def test_with_invalid_list_input(self):
"""Test transform_text_split_and_tokenize with list containing non-string items."""
# Should raise a ValueError
with self.assertRaises(ValueError):
transform_text_split_and_tokenize(
inputs=["Text", 123, "More text"], # List wi... | Test transform_text_split_and_tokenize with list containing non-string items. | test_with_invalid_list_input | python | NVIDIA/nv-ingest | api/api_tests/interface/test_interface.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_interface.py | Apache-2.0 |
def create_image_row(source: str, content: str, width: int, height: int) -> Dict[str, Any]:
"""
Create a simulated image row dictionary for testing the image filter.
Parameters
----------
source : str
A unique identifier for the image (e.g., file name).
content : str
A string re... |
Create a simulated image row dictionary for testing the image filter.
Parameters
----------
source : str
A unique identifier for the image (e.g., file name).
content : str
A string representing the image content (for hashing).
width : int
Simulated image width.
heig... | create_image_row | python | NVIDIA/nv-ingest | api/api_tests/interface/test_mutate.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_mutate.py | Apache-2.0 |
def create_text_row(source: str, content: str) -> Dict[str, Any]:
"""
Create a simulated text row dictionary for testing the image filter.
Parameters
----------
source : str
A unique identifier for the text document.
content : str
The text content.
Returns
-------
D... |
Create a simulated text row dictionary for testing the image filter.
Parameters
----------
source : str
A unique identifier for the text document.
content : str
The text content.
Returns
-------
Dict[str, Any]
A dictionary representing a text row with metadata.... | create_text_row | python | NVIDIA/nv-ingest | api/api_tests/interface/test_mutate.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_mutate.py | Apache-2.0 |
def test_deduplicate_images_integration():
"""
Integration test for deduplicate_images.
This test creates a DataFrame containing image and non-image rows to validate that
duplicate images are removed based on content hashes, while non-image rows are preserved.
Test Data:
- Two image rows (... |
Integration test for deduplicate_images.
This test creates a DataFrame containing image and non-image rows to validate that
duplicate images are removed based on content hashes, while non-image rows are preserved.
Test Data:
- Two image rows (document_type set to "image") with identical image... | test_deduplicate_images_integration | python | NVIDIA/nv-ingest | api/api_tests/interface/test_mutate.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_mutate.py | Apache-2.0 |
def test_transform_text_split_and_tokenize_integration_success(input_mode, monkeypatch):
"""
Parameterized integration test for transform_text_split_and_tokenize.
This test verifies that text documents can be split and tokenized correctly when provided as:
- A preconstructed pandas DataFrame.
... |
Parameterized integration test for transform_text_split_and_tokenize.
This test verifies that text documents can be split and tokenized correctly when provided as:
- A preconstructed pandas DataFrame.
- A single plain text string.
- A list of plain text strings.
When a plain text strin... | test_transform_text_split_and_tokenize_integration_success | python | NVIDIA/nv-ingest | api/api_tests/interface/test_transform.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/interface/test_transform.py | Apache-2.0 |
def test_enum_values(self):
"""Test that the enum contains the expected values."""
self.assertEqual(AccessLevelEnum.UNKNOWN, -1)
self.assertEqual(AccessLevelEnum.LEVEL_1, 1)
self.assertEqual(AccessLevelEnum.LEVEL_2, 2)
self.assertEqual(AccessLevelEnum.LEVEL_3, 3) | Test that the enum contains the expected values. | test_enum_values | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_value_comparison(self):
"""Test that enum values can be compared with integers."""
self.assertTrue(AccessLevelEnum.LEVEL_1 < AccessLevelEnum.LEVEL_2)
self.assertTrue(AccessLevelEnum.LEVEL_2 > AccessLevelEnum.LEVEL_1)
self.assertTrue(AccessLevelEnum.LEVEL_3 > 2)
self.asse... | Test that enum values can be compared with integers. | test_value_comparison | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_value_arithmetic(self):
"""Test that enum values can be used in arithmetic operations."""
self.assertEqual(AccessLevelEnum.LEVEL_1 + 1, 2)
self.assertEqual(AccessLevelEnum.LEVEL_2 - 1, 1) | Test that enum values can be used in arithmetic operations. | test_value_arithmetic | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_string_operations(self):
"""Test that enum values can be used in string operations."""
self.assertTrue(ContentDescriptionEnum.PDF_TEXT.startswith("Unstructured"))
self.assertTrue("table" in ContentDescriptionEnum.DOCX_TABLE.lower())
self.assertEqual(ContentDescriptionEnum.PPTX_I... | Test that enum values can be used in string operations. | test_string_operations | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_uniqueness(self):
"""Test that all enum values are unique."""
values = [e.value for e in ContentTypeEnum]
self.assertEqual(len(values), len(set(values)), "Duplicate values found in ContentTypeEnum") | Test that all enum values are unique. | test_uniqueness | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_categories(self):
"""Test that we can group document types by category."""
image_formats = [
DocumentTypeEnum.BMP,
DocumentTypeEnum.JPEG,
DocumentTypeEnum.PNG,
DocumentTypeEnum.SVG,
DocumentTypeEnum.TIFF,
]
document_for... | Test that we can group document types by category. | test_categories | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_member_access(self):
"""Test different ways to access enum members."""
# Direct access
self.assertEqual(LanguageEnum.EN, "en")
# Access via value
self.assertEqual(LanguageEnum("en"), LanguageEnum.EN)
# Access via name
self.assertEqual(LanguageEnum["EN"]... | Test different ways to access enum members. | test_member_access | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_all_members(self):
"""Test that the enum contains all expected members."""
expected_members = {"ERROR", "SUCCESS"}
actual_members = set(StatusEnum.__members__.keys())
self.assertEqual(expected_members, actual_members) | Test that the enum contains all expected members. | test_all_members | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_extract_related_tasks(self):
"""Test that extraction-related tasks contain 'extract' in their values."""
extract_tasks = [
TaskTypeEnum.EXTRACT,
TaskTypeEnum.AUDIO_DATA_EXTRACT,
TaskTypeEnum.TABLE_DATA_EXTRACT,
TaskTypeEnum.CHART_DATA_EXTRACT,
... | Test that extraction-related tasks contain 'extract' in their values. | test_extract_related_tasks | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_hierarchical_types(self):
"""Test types that can be considered hierarchical."""
hierarchical_types = [
TextTypeEnum.DOCUMENT,
TextTypeEnum.PAGE,
TextTypeEnum.BLOCK,
TextTypeEnum.LINE,
TextTypeEnum.SPAN,
]
# Check that ... | Test types that can be considered hierarchical. | test_hierarchical_types | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_all_enums_are_properly_defined(self):
"""Test that all enums are properly defined as Enum subclasses."""
enums = [
AccessLevelEnum,
ContentDescriptionEnum,
ContentTypeEnum,
DocumentTypeEnum,
LanguageEnum,
StatusEnum,
... | Test that all enums are properly defined as Enum subclasses. | test_all_enums_are_properly_defined | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_enum_member_iteration(self):
"""Test that we can iterate through enum members."""
enums = [
AccessLevelEnum,
ContentDescriptionEnum,
ContentTypeEnum,
DocumentTypeEnum,
LanguageEnum,
StatusEnum,
TableFormatEnum,
... | Test that we can iterate through enum members. | test_enum_member_iteration | python | NVIDIA/nv-ingest | api/api_tests/internal/test_enums.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/test_enums.py | Apache-2.0 |
def test_extract_text_from_audio_internal_no_trace_info(self, mock_df_apply, mock_create_client):
"""Test extract_text_from_audio_internal with no trace info provided."""
# Setup test data
mock_create_client.return_value = self.mock_audio_client
# Create test DataFrame with a single row... | Test extract_text_from_audio_internal with no trace info provided. | test_extract_text_from_audio_internal_no_trace_info | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/audio/test_audio_extraction.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/audio/test_audio_extraction.py | Apache-2.0 |
def test_client_creation(self, mock_create_client):
"""Test that the audio inference client is created with correct parameters."""
# Setup mock return value
mock_client = Mock()
mock_create_client.return_value = mock_client
# Test client creation with different parameters
... | Test that the audio inference client is created with correct parameters. | test_client_creation | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/audio/test_audio_extraction.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/audio/test_audio_extraction.py | Apache-2.0 |
def test_prepare_task_props_without_params(self):
"""Test _prepare_task_props with a config that has no params key."""
# Create a task config without params
task_config_no_params = {"method": "python_docx"}
# Call the function
task_config, source_id = _prepare_task_props(task_co... | Test _prepare_task_props with a config that has no params key. | test_prepare_task_props_without_params | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/docx/test_docx_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/docx/test_docx_extractor.py | Apache-2.0 |
def test_prepare_task_props_without_source_id(self):
"""Test _prepare_task_props with a row that has no source_id."""
# Create a row without source_id
row_no_source = pd.Series({"content": self.sample_base64, "filename": "test_document.docx"})
# Call the function
task_config, so... | Test _prepare_task_props with a row that has no source_id. | test_prepare_task_props_without_source_id | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/docx/test_docx_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/docx/test_docx_extractor.py | Apache-2.0 |
def test_empty_dataframe(self, mock_update_chart_metadata, mock_create_clients):
"""Test behavior with an empty DataFrame."""
# Create empty DataFrame
df = pd.DataFrame()
# Call the function
result_df, result_trace = module_under_test.extract_chart_data_from_image_internal(
... | Test behavior with an empty DataFrame. | test_empty_dataframe | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/image/test_chart_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/image/test_chart_extractor.py | Apache-2.0 |
def test_no_matching_rows(self, mock_update_chart_metadata, mock_create_clients):
"""Test behavior when no rows match the extraction criteria."""
# Configure _create_clients to return our mock clients
mock_create_clients.return_value = (self.mock_yolox_client, self.mock_paddle_client)
#... | Test behavior when no rows match the extraction criteria. | test_no_matching_rows | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/image/test_chart_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/image/test_chart_extractor.py | Apache-2.0 |
def test_successful_extraction(self, mock_update_chart_metadata, mock_create_clients):
"""Test successful chart data extraction and DataFrame update."""
# Configure _create_clients to return our mock clients
mock_create_clients.return_value = (self.mock_yolox_client, self.mock_paddle_client)
... | Test successful chart data extraction and DataFrame update. | test_successful_extraction | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/image/test_chart_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/image/test_chart_extractor.py | Apache-2.0 |
def test_mixed_rows(self, mock_update_chart_metadata, mock_create_clients):
"""Test behavior with a mix of matching and non-matching rows."""
# Configure _create_clients to return our mock clients
mock_create_clients.return_value = (self.mock_yolox_client, self.mock_paddle_client)
# Con... | Test behavior with a mix of matching and non-matching rows. | test_mixed_rows | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/image/test_chart_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/image/test_chart_extractor.py | Apache-2.0 |
def test_extraction_error(self, mock_update_chart_metadata, mock_create_clients):
"""Test behavior when an error occurs during extraction."""
# Configure _create_clients to return our mock clients
mock_create_clients.return_value = (self.mock_yolox_client, self.mock_paddle_client)
# Con... | Test behavior when an error occurs during extraction. | test_extraction_error | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/image/test_chart_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/image/test_chart_extractor.py | Apache-2.0 |
def test_client_creation_error(self, mock_create_clients):
"""Test behavior when an error occurs during client creation."""
# Create DataFrame with a matching row
df = pd.DataFrame(
[
{
"metadata": {
"content": "base64_image... | Test behavior when an error occurs during client creation. | test_client_creation_error | python | NVIDIA/nv-ingest | api/api_tests/internal/extract/image/test_chart_extractor.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/internal/extract/image/test_chart_extractor.py | Apache-2.0 |
def test_get_metadata_regex_match():
"""
Validate that get_metadata returns a dict of all matching metadata entries when a regex is provided.
"""
cm = IngestControlMessage()
cm.set_metadata("alpha", 1)
cm.set_metadata("beta", 2)
cm.set_metadata("gamma", 3)
# Use a regex to match keys tha... |
Validate that get_metadata returns a dict of all matching metadata entries when a regex is provided.
| test_get_metadata_regex_match | python | NVIDIA/nv-ingest | api/api_tests/primitives/test_ingest_control_message.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/test_ingest_control_message.py | Apache-2.0 |
def test_get_metadata_regex_no_match():
"""
Validate that get_metadata returns the default value when a regex is provided but no keys match.
"""
cm = IngestControlMessage()
cm.set_metadata("alpha", 1)
cm.set_metadata("beta", 2)
pattern = re.compile("z")
# Return default as an empty dict ... |
Validate that get_metadata returns the default value when a regex is provided but no keys match.
| test_get_metadata_regex_no_match | python | NVIDIA/nv-ingest | api/api_tests/primitives/test_ingest_control_message.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/test_ingest_control_message.py | Apache-2.0 |
def test_has_metadata_regex_match():
"""
Validate that has_metadata returns True if any metadata key matches the regex.
"""
cm = IngestControlMessage()
cm.set_metadata("key1", "value1")
cm.set_metadata("other", "value2")
assert cm.has_metadata(re.compile("^key"))
assert not cm.has_metada... |
Validate that has_metadata returns True if any metadata key matches the regex.
| test_has_metadata_regex_match | python | NVIDIA/nv-ingest | api/api_tests/primitives/test_ingest_control_message.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/test_ingest_control_message.py | Apache-2.0 |
def test_empty_control_message():
"""
Validate that an IngestControlMessage with no tasks returns an empty list from get_tasks()
and that has_task returns False for any task id.
"""
cm = IngestControlMessage()
assert list(cm.get_tasks()) == []
assert not cm.has_task("nonexistent") |
Validate that an IngestControlMessage with no tasks returns an empty list from get_tasks()
and that has_task returns False for any task id.
| test_empty_control_message | python | NVIDIA/nv-ingest | api/api_tests/primitives/test_ingest_control_message_task.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/test_ingest_control_message_task.py | Apache-2.0 |
def test_add_single_task():
"""
Validate that adding a single ControlMessageTask stores the task correctly, making it retrievable
via has_task and get_tasks.
"""
cm = IngestControlMessage()
task = ControlMessageTask(type="Test Task", id="task1", properties={"key": "value"})
cm.add_task(task)... |
Validate that adding a single ControlMessageTask stores the task correctly, making it retrievable
via has_task and get_tasks.
| test_add_single_task | python | NVIDIA/nv-ingest | api/api_tests/primitives/test_ingest_control_message_task.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/test_ingest_control_message_task.py | Apache-2.0 |
def test_add_duplicate_task():
"""
Validate that adding a duplicate task (same id) raises a ValueError indicating that tasks must be unique.
"""
cm = IngestControlMessage()
task = ControlMessageTask(type="Test Task", id="task1", properties={"key": "value"})
cm.add_task(task)
duplicate_task =... |
Validate that adding a duplicate task (same id) raises a ValueError indicating that tasks must be unique.
| test_add_duplicate_task | python | NVIDIA/nv-ingest | api/api_tests/primitives/test_ingest_control_message_task.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/test_ingest_control_message_task.py | Apache-2.0 |
def test_multiple_tasks():
"""
Validate that multiple tasks added to IngestControlMessage are stored and retrievable.
Ensures that has_task returns True for all added tasks and that get_tasks returns the correct set of tasks.
"""
cm = IngestControlMessage()
task_data = [
{"type": "Task A... |
Validate that multiple tasks added to IngestControlMessage are stored and retrievable.
Ensures that has_task returns True for all added tasks and that get_tasks returns the correct set of tasks.
| test_multiple_tasks | python | NVIDIA/nv-ingest | api/api_tests/primitives/test_ingest_control_message_task.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/test_ingest_control_message_task.py | Apache-2.0 |
def test_basic_caching(self):
"""Test that the function result is cached."""
call_count = 0
@multiprocessing_cache(max_calls=10)
def example_function(a, b):
nonlocal call_count
call_count += 1
return a + b
# First call should execute the func... | Test that the function result is cached. | test_basic_caching | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_cache_invalidation(self):
"""Test that the cache is invalidated after max_calls."""
call_count = 0
@multiprocessing_cache(max_calls=3)
def example_function(x):
nonlocal call_count
call_count += 1
return x * 2
# First set of calls
... | Test that the cache is invalidated after max_calls. | test_cache_invalidation | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_kwargs_handling(self):
"""Test that the function caches correctly with keyword arguments."""
call_count = 0
@multiprocessing_cache(max_calls=10)
def example_function(a, b=2, c=3):
nonlocal call_count
call_count += 1
return a + b + c
... | Test that the function caches correctly with keyword arguments. | test_kwargs_handling | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_multiple_processes(self):
"""Test that the cache works across multiple processes."""
def worker_function(queue, value):
@multiprocessing_cache(max_calls=10)
def cached_func(x):
# This sleep simulates some expensive computation
time.sleep(... | Test that the cache works across multiple processes. | test_multiple_processes | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_different_function_caches(self):
"""Test that different functions have separate caches."""
call_count1 = 0
call_count2 = 0
@multiprocessing_cache(max_calls=10)
def function1(x):
nonlocal call_count1
call_count1 += 1
return x * 2
... | Test that different functions have separate caches. | test_different_function_caches | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_hashable_arguments(self):
"""Test caching behavior with hashable arguments."""
call_count = 0
@multiprocessing_cache(max_calls=10)
def example_function(a, b, c):
nonlocal call_count
call_count += 1
return a + b + c
# Call with simple... | Test caching behavior with hashable arguments. | test_hashable_arguments | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_zero_max_calls(self):
"""Test behavior with max_calls=0 (should disable caching)."""
call_count = 0
@multiprocessing_cache(max_calls=0)
def example_function(x):
nonlocal call_count
call_count += 1
return x * 2
# Each call should exec... | Test behavior with max_calls=0 (should disable caching). | test_zero_max_calls | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_negative_max_calls(self):
"""Test behavior with negative max_calls (actually disables caching)."""
call_count = 0
@multiprocessing_cache(max_calls=-1)
def example_function(x):
nonlocal call_count
call_count += 1
return x * 2
# Multip... | Test behavior with negative max_calls (actually disables caching). | test_negative_max_calls | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_decorators.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_decorators.py | Apache-2.0 |
def test_preprocess_image_default_dimension(self):
"""Test image preprocessing with default max dimension."""
result, metadata = preprocess_image_for_paddle(self.sample_image)
# Check that the result has the correct shape (channel, height, width)
self.assertEqual(result.shape[0], 3) # ... | Test image preprocessing with default max dimension. | test_preprocess_image_default_dimension | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_helpers.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_helpers.py | Apache-2.0 |
def test_preprocess_image_custom_dimension(self):
"""Test image preprocessing with custom max dimension."""
custom_max_dim = 512
result, metadata = preprocess_image_for_paddle(self.sample_image, image_max_dimension=custom_max_dim)
# Check that resize was called with the correct scale fa... | Test image preprocessing with custom max dimension. | test_preprocess_image_custom_dimension | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_helpers.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_helpers.py | Apache-2.0 |
def test_preprocess_image_tall_image(self):
"""Test preprocessing with a tall image (height > width)."""
tall_image = np.zeros((300, 100, 3), dtype=np.uint8)
result, metadata = preprocess_image_for_paddle(tall_image)
# Scale factor should be based on max dimension (300)
expected... | Test preprocessing with a tall image (height > width). | test_preprocess_image_tall_image | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_helpers.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_helpers.py | Apache-2.0 |
def test_query_metadata_empty_field(self, mock_get):
"""Test _query_metadata with empty field in response."""
# Setup mock response
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {"other_field": "value"}
mock_get.return_value... | Test _query_metadata with empty field in response. | test_query_metadata_empty_field | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_helpers.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_helpers.py | Apache-2.0 |
def test_initialization(self):
"""Test the initialization of the model interface."""
# Test default initialization
self.assertEqual(self.model_interface.model_name, "nvidia/nemoretriever-parse")
# Test custom model name
custom_model = NemoRetrieverParseModelInterface(model_name=... | Test the initialization of the model interface. | test_initialization | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_format_input_http_single_image(self):
"""Test format_input method with HTTP protocol and a single image."""
test_data = {"image": self.sample_image}
formatted_batches, formatted_batch_data = self.model_interface.format_input(
test_data, protocol="http", max_batch_size=1
... | Test format_input method with HTTP protocol and a single image. | test_format_input_http_single_image | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_format_input_http_multiple_images(self):
"""Test format_input method with HTTP protocol and multiple images."""
test_data = {"images": self.sample_images}
formatted_batches, formatted_batch_data = self.model_interface.format_input(
test_data, protocol="http", max_batch_size=... | Test format_input method with HTTP protocol and multiple images. | test_format_input_http_multiple_images | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_format_input_grpc_protocol(self):
"""Test format_input method with gRPC protocol (should raise ValueError)."""
test_data = {"image": self.sample_image}
with self.assertRaises(ValueError) as context:
self.model_interface.format_input(test_data, protocol="grpc", max_batch_size... | Test format_input method with gRPC protocol (should raise ValueError). | test_format_input_grpc_protocol | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_format_input_invalid_protocol(self):
"""Test format_input method with an invalid protocol."""
test_data = {"image": self.sample_image}
with self.assertRaises(ValueError) as context:
self.model_interface.format_input(test_data, protocol="invalid", max_batch_size=1)
s... | Test format_input method with an invalid protocol. | test_format_input_invalid_protocol | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_parse_output_missing_choices(self):
"""Test parse_output method with a response missing the 'choices' key."""
mock_response = {} # Missing 'choices' key
with self.assertRaises(RuntimeError) as context:
self.model_interface.parse_output(mock_response, protocol="http")
... | Test parse_output method with a response missing the 'choices' key. | test_parse_output_missing_choices | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_parse_output_empty_choices(self):
"""Test parse_output method with an empty 'choices' list."""
mock_response = {"choices": []} # Empty 'choices' list
with self.assertRaises(RuntimeError) as context:
self.model_interface.parse_output(mock_response, protocol="http")
... | Test parse_output method with an empty 'choices' list. | test_parse_output_empty_choices | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_parse_output_grpc_protocol(self):
"""Test parse_output method with gRPC protocol (should raise ValueError)."""
mock_response = {}
with self.assertRaises(ValueError) as context:
self.model_interface.parse_output(mock_response, protocol="grpc")
self.assertTrue("gRPC ... | Test parse_output method with gRPC protocol (should raise ValueError). | test_parse_output_grpc_protocol | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_parse_output_invalid_protocol(self):
"""Test parse_output method with an invalid protocol."""
mock_response = {}
with self.assertRaises(ValueError) as context:
self.model_interface.parse_output(mock_response, protocol="invalid")
self.assertTrue("Invalid protocol" i... | Test parse_output method with an invalid protocol. | test_parse_output_invalid_protocol | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_accepted_classes_consistency(self):
"""Test that the ACCEPTED_CLASSES set is correctly defined."""
# Verify that ACCEPTED_CLASSES is the union of the individual class sets
expected_union = set().union(ACCEPTED_TEXT_CLASSES, ACCEPTED_TABLE_CLASSES, ACCEPTED_IMAGE_CLASSES)
self.as... | Test that the ACCEPTED_CLASSES set is correctly defined. | test_accepted_classes_consistency | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_nemoretriever_parse.py | Apache-2.0 |
def test_format_input_grpc_single_image(self):
"""Test format_input method with gRPC protocol and a single image."""
# Set up test data with image_arrays and empty image_dims
img_array = np.zeros((100, 200, 3), dtype=np.uint8)
test_data = {"image_arrays": [img_array], "image_dims": []}
... | Test format_input method with gRPC protocol and a single image. | test_format_input_grpc_single_image | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_format_input_grpc_multiple_images(self):
"""Test format_input method with gRPC protocol and multiple images."""
# Set up test data with multiple image arrays and empty image_dims
img_arrays = [np.zeros((100, 200, 3), dtype=np.uint8) for _ in range(3)]
test_data = {"image_arrays"... | Test format_input method with gRPC protocol and multiple images. | test_format_input_grpc_multiple_images | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_parse_output_http_missing_data(self):
"""Test parse_output method with HTTP protocol and missing data."""
mock_response = {} # Missing 'data' key
data = {"image_dims": [{}]}
with self.assertRaises(RuntimeError) as context:
self.model_interface.parse_output(mock_res... | Test parse_output method with HTTP protocol and missing data. | test_parse_output_http_missing_data | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_parse_output_grpc_multiple_images(self):
"""Test parse_output method with gRPC protocol and multiple images."""
# Create a mock gRPC response for multiple images
# Shape (3, 2) for a batch of 2 images
mock_response = np.array(
[
# Bounding boxes for 2... | Test parse_output method with gRPC protocol and multiple images. | test_parse_output_grpc_multiple_images | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_parse_output_grpc_single_item_response(self):
"""Test parse_output method with gRPC protocol and a response with shape (3,)."""
# Create a mock gRPC response with shape (3,) for a single image
mock_response = np.array(
[
json.dumps([[0.1, 0.2], [0.3, 0.2], [0... | Test parse_output method with gRPC protocol and a response with shape (3,). | test_parse_output_grpc_single_item_response | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_parse_output_grpc_invalid_response_type(self):
"""Test parse_output method with gRPC protocol and an invalid response type."""
mock_response = "not a numpy array"
data = {"image_dims": [{}]}
with self.assertRaises(ValueError) as context:
self.model_interface.parse_o... | Test parse_output method with gRPC protocol and an invalid response type. | test_parse_output_grpc_invalid_response_type | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_parse_output_grpc_invalid_response_shape(self):
"""Test parse_output method with gRPC protocol and an invalid response shape."""
# Create a response with an invalid shape (2, 3) instead of (3, n)
mock_response = np.zeros((2, 3))
data = {"image_dims": [{}]}
with self.ass... | Test parse_output method with gRPC protocol and an invalid response shape. | test_parse_output_grpc_invalid_response_shape | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_postprocess_paddle_response_nan_box(self):
"""Test _postprocess_paddle_response static method with 'nan' box."""
# Set up test data with one valid box and one 'nan' box
bounding_boxes = [[[0.1, 0.2], [0.3, 0.2], [0.3, 0.4], [0.1, 0.4]], "nan"] # This should be skipped
text_pred... | Test _postprocess_paddle_response static method with 'nan' box. | test_postprocess_paddle_response_nan_box | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_postprocess_paddle_response_no_dims(self):
"""Test _postprocess_paddle_response static method with no dims."""
bounding_boxes = [[[0.1, 0.2], [0.3, 0.2], [0.3, 0.4], [0.1, 0.4]]]
text_predictions = ["Text 1"]
with self.assertRaises(ValueError) as context:
PaddleOCRM... | Test _postprocess_paddle_response static method with no dims. | test_postprocess_paddle_response_no_dims | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_paddle.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_paddle.py | Apache-2.0 |
def test_initialization(self):
"""Test initialization of ParakeetClient with various configurations."""
# Test with all parameters provided
client = ParakeetClient(
endpoint="test.endpoint:50051",
auth_token="test_token",
function_id="test_function_id",
... | Test initialization of ParakeetClient with various configurations. | test_initialization | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_initialization_auto_ssl(self):
"""Test automatic SSL detection based on function_id."""
# With function_id but no explicit use_ssl
client = ParakeetClient(endpoint="grpc.nvcf.nvidia.com:443", function_id="test_function_id")
self.assertTrue(client.use_ssl)
# Without func... | Test automatic SSL detection based on function_id. | test_initialization_auto_ssl | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_infer_method(self, mock_process_response):
"""Test the infer method of ParakeetClient."""
# Create a client instance for this test
client = ParakeetClient(endpoint="test.endpoint:50051", auth_token="test_token", function_id="test_function_id")
# Reset the mocks to clear the ini... | Test the infer method of ParakeetClient. | test_infer_method | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_infer_method_with_none_response(self):
"""Test the infer method when transcribe returns None."""
# Create a client instance for this test
client = ParakeetClient(endpoint="test.endpoint:50051", auth_token="test_token", function_id="test_function_id")
# Reset the mocks to clear ... | Test the infer method when transcribe returns None. | test_infer_method_with_none_response | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_transcribe_method(
self,
mock_convert_to_mono,
mock_add_endpoint_params,
mock_add_speaker_diarization,
mock_add_word_boosting,
mock_recognition_config,
):
"""Test the transcribe method of ParakeetClient."""
# Create a client instance for this ... | Test the transcribe method of ParakeetClient. | test_transcribe_method | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_transcribe_method_with_custom_parameters(self):
"""Test the transcribe method with custom parameters."""
# Create a client instance for this test
client = ParakeetClient(endpoint="test.endpoint:50051", auth_token="test_token", function_id="test_function_id")
# Reset the mocks t... | Test the transcribe method with custom parameters. | test_transcribe_method_with_custom_parameters | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_transcribe_method_with_grpc_error(self):
"""Test the transcribe method when a gRPC error occurs."""
# Create a client instance for this test
client = ParakeetClient(endpoint="test.endpoint:50051", auth_token="test_token", function_id="test_function_id")
# Reset the mocks to cle... | Test the transcribe method when a gRPC error occurs. | test_transcribe_method_with_grpc_error | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_convert_to_mono_wav(self):
"""Test the convert_to_mono_wav function that uses librosa and scipy."""
# Mock librosa.load
with patch(f"{MODULE_UNDER_TEST}.librosa.load") as mock_librosa_load, patch(
f"{MODULE_UNDER_TEST}.wavfile.write"
) as mock_wavfile_write, patch(f"... | Test the convert_to_mono_wav function that uses librosa and scipy. | test_convert_to_mono_wav | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_process_transcription_response_empty_alternatives(self):
"""Test processing a response with empty alternatives."""
# Create a mock transcription response
mock_response = MagicMock()
# Set up result with empty alternatives
mock_result = MagicMock()
mock_result.al... | Test processing a response with empty alternatives. | test_process_transcription_response_empty_alternatives | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_create_audio_inference_client_with_grpc(self):
"""Test creating an audio inference client with gRPC."""
# Set up endpoints
endpoints = ("grpc.endpoint:50051", "http.endpoint:8000")
# Call the function with gRPC protocol
client = create_audio_inference_client(
... | Test creating an audio inference client with gRPC. | test_create_audio_inference_client_with_grpc | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_create_audio_inference_client_with_http(self):
"""Test creating an audio inference client with HTTP (should raise error)."""
# Set up endpoints
endpoints = ("grpc.endpoint:50051", "http.endpoint:8000")
# Call the function with HTTP protocol
with self.assertRaises(ValueE... | Test creating an audio inference client with HTTP (should raise error). | test_create_audio_inference_client_with_http | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_create_audio_inference_client_default_protocol(self):
"""Test creating an audio inference client with default protocol detection."""
# Set up endpoints
endpoints = ("grpc.endpoint:50051", "http.endpoint:8000")
# Call the function without specifying protocol
_ = create_a... | Test creating an audio inference client with default protocol detection. | test_create_audio_inference_client_default_protocol | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_create_audio_inference_client_empty_grpc_endpoint(self):
"""Test creating a client with empty gRPC endpoint."""
# Set up endpoints with empty gRPC endpoint
endpoints = ("", "http.endpoint:8000")
# Call the function without specifying protocol
_ = create_audio_inference_... | Test creating a client with empty gRPC endpoint. | test_create_audio_inference_client_empty_grpc_endpoint | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_parakeet.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_parakeet.py | Apache-2.0 |
def test_parse_output_missing_data(self):
"""Test parse_output with missing data in response."""
# Mock response with missing data
mock_response = {"some_other_key": "value"}
with self.assertRaises(RuntimeError) as context:
self.model_interface.parse_output(mock_response, pr... | Test parse_output with missing data in response. | test_parse_output_missing_data | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_text_embedding.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_text_embedding.py | Apache-2.0 |
def test_parse_output_empty_data(self):
"""Test parse_output with empty data in response."""
# Mock response with empty data
mock_response = {"data": []}
with self.assertRaises(RuntimeError) as context:
self.model_interface.parse_output(mock_response, protocol="http")
... | Test parse_output with empty data in response. | test_parse_output_empty_data | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_text_embedding.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_text_embedding.py | Apache-2.0 |
def test_parse_output_missing_embedding(self):
"""Test parse_output with missing 'embedding' field in data items."""
# Mock response with missing embedding field
mock_response = {
"data": [
{"some_field": "value"},
{"embedding": [0.4, 0.5, 0.6]},
... | Test parse_output with missing 'embedding' field in data items. | test_parse_output_missing_embedding | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_text_embedding.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_text_embedding.py | Apache-2.0 |
def test_parse_output_missing_choices(self):
"""Test parse_output with missing choices in response."""
# Mock response with missing choices
mock_response = {"some_other_key": "value"}
with self.assertRaises(RuntimeError) as context:
self.model_interface.parse_output(mock_res... | Test parse_output with missing choices in response. | test_parse_output_missing_choices | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_vlm.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_vlm.py | Apache-2.0 |
def test_parse_output_empty_choices(self):
"""Test parse_output with empty choices in response."""
# Mock response with empty choices
mock_response = {"choices": []}
with self.assertRaises(RuntimeError) as context:
self.model_interface.parse_output(mock_response, protocol="h... | Test parse_output with empty choices in response. | test_parse_output_empty_choices | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_vlm.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_vlm.py | Apache-2.0 |
def test_parse_output_missing_message(self):
"""Test parse_output with missing message in choices."""
# Mock response with missing message field
mock_response = {
"choices": [
{"some_field": "value"},
{"message": {"content": "A dog playing in the park.... | Test parse_output with missing message in choices. | test_parse_output_missing_message | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_vlm.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_vlm.py | Apache-2.0 |
def test_parse_output_missing_content(self):
"""Test parse_output with missing content in message."""
# Mock response with missing content field
mock_response = {
"choices": [
{"message": {"some_field": "value"}},
{"message": {"content": "A dog playing... | Test parse_output with missing content in message. | test_parse_output_missing_content | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_vlm.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_vlm.py | Apache-2.0 |
def test_prepare_data_non_numpy_images(self):
"""Test prepare_data_for_inference with non-numpy array images."""
# Create input data with non-numpy images
input_data = {"images": ["image1", "image2"]}
with self.assertRaises(ValueError) as context:
self.model_interface.prepar... | Test prepare_data_for_inference with non-numpy array images. | test_prepare_data_non_numpy_images | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | Apache-2.0 |
def test_format_input_grpc_batching(self):
"""Test format_input with gRPC protocol and batching."""
# Create input data with more images than max_batch_size
input_data = {
"images": [self.image1, self.image2, self.image3],
"original_image_shapes": [(100, 200, 3), (150, 25... | Test format_input with gRPC protocol and batching. | test_format_input_grpc_batching | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | Apache-2.0 |
def test_format_input_http_batching(self):
"""Test format_input with HTTP protocol and batching."""
# Create input data with more images than max_batch_size
input_data = {
"images": [self.image1, self.image2, self.image3],
"original_image_shapes": [(100, 200, 3), (150, 25... | Test format_input with HTTP protocol and batching. | test_format_input_http_batching | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | Apache-2.0 |
def test_parse_output_http_multiple_images(self):
"""Test parse_output with HTTP protocol and multiple images."""
# Create a mock HTTP response with multiple images
mock_response = {
"data": [
{
"bounding_boxes": {
"person":... | Test parse_output with HTTP protocol and multiple images. | test_parse_output_http_multiple_images | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_base.py | Apache-2.0 |
def test_postprocess_annotations_numpy_array_conversion(self):
"""Test that postprocess_annotations correctly converts numpy arrays to lists."""
# Mock get_bbox_dict_yolox_graphic to return dict with numpy arrays
self.mock_get_bbox_dict.return_value = {
"logo": np.array([[10, 20, 30,... | Test that postprocess_annotations correctly converts numpy arrays to lists. | test_postprocess_annotations_numpy_array_conversion | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_graphic_elements.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_graphic_elements.py | Apache-2.0 |
def test_postprocess_annotations_non_numpy_values(self):
"""Test that postprocess_annotations correctly handles non-numpy values."""
# Mock get_bbox_dict_yolox_graphic to return dict with mixed types
self.mock_get_bbox_dict.return_value = {
"logo": [[10, 20, 30, 40, 0.9]], # Already... | Test that postprocess_annotations correctly handles non-numpy values. | test_postprocess_annotations_non_numpy_values | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_graphic_elements.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_graphic_elements.py | Apache-2.0 |
def test_default_initialization(self):
"""Test default initialization (should use v2 parameters)."""
model = YoloxPageElementsModelInterface()
# Check that v2 parameters are used by default
self.assertEqual(model.num_classes, 4)
self.assertEqual(model.final_score, {"table": 0.5,... | Test default initialization (should use v2 parameters). | test_default_initialization | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_page_elements.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_page_elements.py | Apache-2.0 |
def test_postprocess_annotations_title_preservation(self):
"""Test postprocess_annotations preserves title entries without filtering."""
# Create mock annotation dictionaries
annotations = [
{
"table": [],
"chart": [],
"title": [
... | Test postprocess_annotations preserves title entries without filtering. | test_postprocess_annotations_title_preservation | python | NVIDIA/nv-ingest | api/api_tests/primitives/nim/model_interface/test_yolox_interface_page_elements.py | https://github.com/NVIDIA/nv-ingest/blob/master/api/api_tests/primitives/nim/model_interface/test_yolox_interface_page_elements.py | Apache-2.0 |
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