sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
mlflow/mlflow:mlflow/telemetry/utils.py | import logging
import os
from typing import Any
import requests
from packaging.version import Version
from mlflow.environment_variables import (
_MLFLOW_TELEMETRY_LOGGING,
_MLFLOW_TESTING_TELEMETRY,
MLFLOW_DISABLE_TELEMETRY,
)
from mlflow.telemetry.constant import (
CONFIG_STAGING_URL,
CONFIG_URL,... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/telemetry/utils.py",
"license": "Apache License 2.0",
"lines": 111,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/telemetry/helper_functions.py | import json
from typing import Any
def validate_telemetry_record(
mock_telemetry_client,
mock_requests,
event_name: str,
params=None,
*,
status="success",
search_index=True,
check_params=True,
) -> dict[str, Any]:
"""
Validate the telemetry record at the given index.
"""
... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/telemetry/helper_functions.py",
"license": "Apache License 2.0",
"lines": 35,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/telemetry/test_client.py | import logging
import threading
import time
import warnings
from unittest import mock
import pytest
import mlflow
from mlflow.environment_variables import _MLFLOW_TELEMETRY_SESSION_ID
from mlflow.telemetry.client import (
BATCH_SIZE,
BATCH_TIME_INTERVAL_SECONDS,
MAX_QUEUE_SIZE,
MAX_WORKERS,
Teleme... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/telemetry/test_client.py",
"license": "Apache License 2.0",
"lines": 885,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/telemetry/test_events.py | from unittest.mock import Mock
import pytest
from mlflow.entities.evaluation_dataset import DatasetGranularity, EvaluationDataset
from mlflow.prompt.constants import IS_PROMPT_TAG_KEY
from mlflow.telemetry.events import (
AiCommandRunEvent,
AlignJudgeEvent,
CreateDatasetEvent,
CreateExperimentEvent,
... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/telemetry/test_events.py",
"license": "Apache License 2.0",
"lines": 396,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/telemetry/test_track.py | import time
from unittest import mock
import pytest
from mlflow.environment_variables import MLFLOW_DISABLE_TELEMETRY
from mlflow.telemetry.client import (
TelemetryClient,
_fetch_server_info,
get_telemetry_client,
set_telemetry_client,
)
from mlflow.telemetry.events import CreateLoggedModelEvent, Eve... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/telemetry/test_track.py",
"license": "Apache License 2.0",
"lines": 280,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/telemetry/test_tracked_events.py | import json
import time
from unittest import mock
from unittest.mock import AsyncMock, MagicMock, patch
import pandas as pd
import pytest
import sklearn.neighbors as knn
from click.testing import CliRunner
import mlflow
from mlflow import MlflowClient
from mlflow.entities import (
EvaluationDataset,
Expectati... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/telemetry/test_tracked_events.py",
"license": "Apache License 2.0",
"lines": 1801,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/telemetry/test_utils.py | from unittest.mock import Mock, patch
from mlflow.telemetry.constant import (
CONFIG_STAGING_URL,
CONFIG_URL,
FALLBACK_UI_CONFIG,
UI_CONFIG_STAGING_URL,
UI_CONFIG_URL,
)
from mlflow.telemetry.utils import (
_get_config_url,
fetch_ui_telemetry_config,
is_telemetry_disabled,
)
def test_... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/telemetry/test_utils.py",
"license": "Apache License 2.0",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/semantic_kernel/autolog.py | import logging
import threading
from opentelemetry import trace as otel_trace
from opentelemetry.context import Context
from opentelemetry.sdk.trace import ReadableSpan as OTelReadableSpan
from opentelemetry.sdk.trace import Span as OTelSpan
from opentelemetry.sdk.trace import TracerProvider as SDKTracerProvider
from ... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/semantic_kernel/autolog.py",
"license": "Apache License 2.0",
"lines": 128,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/semantic_kernel/tracing_utils.py | import logging
from typing import Any
from opentelemetry import context as otel_context_api
from opentelemetry import trace as otel_trace
from opentelemetry.trace import get_current_span
from semantic_kernel.contents.chat_history import ChatHistory
from semantic_kernel.contents.kernel_content import KernelContent
from... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/semantic_kernel/tracing_utils.py",
"license": "Apache License 2.0",
"lines": 132,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/semantic_kernel/resources.py | import openai
from semantic_kernel import Kernel
from semantic_kernel.agents import ChatCompletionAgent
from semantic_kernel.connectors.ai.open_ai import (
OpenAIChatCompletion,
OpenAITextCompletion,
OpenAITextEmbedding,
)
from semantic_kernel.contents import ChatHistory
from semantic_kernel.functions impor... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/semantic_kernel/resources.py",
"license": "Apache License 2.0",
"lines": 140,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/semantic_kernel/test_semantic_kernel_autolog.py | import asyncio
from unittest import mock
import openai
import pytest
import pytest_asyncio
from semantic_kernel import Kernel
from semantic_kernel.agents import AgentResponseItem
from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion
from semantic_kernel.contents import ChatMessageContent
from semantic... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/semantic_kernel/test_semantic_kernel_autolog.py",
"license": "Apache License 2.0",
"lines": 422,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_forbidden_set_active_model_usage.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.forbidden_set_active_model_usage import ForbiddenSetActiveModelUsage
def test_forbidden_set_active_model_usage(index_path: Path) -> None:
code = """
import mlflow
# Bad
mlflow.set_active... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_forbidden_set_active_model_usage.py",
"license": "Apache License 2.0",
"lines": 25,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_invalid_experimental_decorator.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.invalid_experimental_decorator import InvalidExperimentalDecorator
def test_invalid_experimental_decorator(index_path: Path) -> None:
code = """
from mlflow.utils.annotations import exper... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_invalid_experimental_decorator.py",
"license": "Apache License 2.0",
"lines": 45,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_lazy_module.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.lazy_module import LazyModule
def test_lazy_module(index_path: Path) -> None:
# Create a file that looks like mlflow/__init__.py for the rule to apply
code = """
from mlflow.utils.laz... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_lazy_module.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_mlflow_class_name.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.mlflow_class_name import MlflowClassName
def test_mlflow_class_name(index_path: Path) -> None:
code = """
# Bad - using MLflow
class MLflowClient:
pass
# Bad - using MLFlow
class MLF... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_mlflow_class_name.py",
"license": "Apache License 2.0",
"lines": 33,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_unparameterized_generic_type.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.unparameterized_generic_type import UnparameterizedGenericType
def test_unparameterized_generic_type(index_path: Path) -> None:
code = """
from typing import Callable, Sequence
# Bad - u... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_unparameterized_generic_type.py",
"license": "Apache License 2.0",
"lines": 35,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/genai/datasets/databricks_evaluation_dataset_source.py | from typing import Any
from mlflow.data.dataset_source import DatasetSource
class DatabricksEvaluationDatasetSource(DatasetSource):
"""
Represents a Databricks Evaluation Dataset source.
This source is used for datasets managed by the Databricks agents SDK.
"""
def __init__(self, table_name: st... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/datasets/databricks_evaluation_dataset_source.py",
"license": "Apache License 2.0",
"lines": 67,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:tests/genai/datasets/test_databricks_evaluation_dataset_source.py | import json
import pytest
from mlflow.genai.datasets.databricks_evaluation_dataset_source import (
DatabricksEvaluationDatasetSource,
)
def test_databricks_evaluation_dataset_source_init():
source = DatabricksEvaluationDatasetSource(
table_name="catalog.schema.table", dataset_id="12345"
)
as... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/datasets/test_databricks_evaluation_dataset_source.py",
"license": "Apache License 2.0",
"lines": 56,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/datasets/test_evaluation_dataset.py | import json
from typing import Any
from unittest.mock import Mock
import pandas as pd
import pytest
from mlflow.data.dataset_source_registry import (
get_dataset_source_from_json,
register_dataset_source,
)
from mlflow.data.spark_dataset_source import SparkDatasetSource
from mlflow.entities.evaluation_dataset... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/datasets/test_evaluation_dataset.py",
"license": "Apache License 2.0",
"lines": 193,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_example_syntax_error.py | from pathlib import Path
import pytest
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.example_syntax_error import ExampleSyntaxError
def test_example_syntax_error(index_path: Path) -> None:
code = '''
def bad():
"""
.. code-block:: python
def... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_example_syntax_error.py",
"license": "Apache License 2.0",
"lines": 36,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_os_environ_set_in_test.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.os_environ_set_in_test import OsEnvironSetInTest
def test_os_environ_set_in_test(index_path: Path) -> None:
code = """
import os
# Bad
def test_func():
os.environ["MY_VAR"] = "value"... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_os_environ_set_in_test.py",
"license": "Apache License 2.0",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_pytest_mark_repeat.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.pytest_mark_repeat import PytestMarkRepeat
def test_pytest_mark_repeat(index_path: Path) -> None:
code = """
import pytest
@pytest.mark.repeat(10)
def test_flaky_function():
...
"""
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_pytest_mark_repeat.py",
"license": "Apache License 2.0",
"lines": 16,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_unknown_mlflow_arguments.py | from pathlib import Path
import pytest
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.unknown_mlflow_arguments import UnknownMlflowArguments
def test_unknown_mlflow_arguments(index_path: Path) -> None:
code = '''
def bad():
"""
.. code-block:: python
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_unknown_mlflow_arguments.py",
"license": "Apache License 2.0",
"lines": 50,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_unknown_mlflow_function.py | from pathlib import Path
import pytest
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.unknown_mlflow_function import UnknownMlflowFunction
def test_unknown_mlflow_function(index_path: Path) -> None:
code = '''
def bad():
"""
.. code-block:: python
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_unknown_mlflow_function.py",
"license": "Apache License 2.0",
"lines": 47,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_extraneous_docstring_param.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.extraneous_docstring_param import ExtraneousDocstringParam
def test_extraneous_docstring_param(index_path: Path) -> None:
code = '''
def bad_function(param1: str) -> None:
"""
Exa... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_extraneous_docstring_param.py",
"license": "Apache License 2.0",
"lines": 27,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_forbidden_trace_ui_in_notebook.py | from pathlib import Path
from clint.config import Config
from clint.linter import lint_file
from clint.rules.forbidden_trace_ui_in_notebook import ForbiddenTraceUIInNotebook
def test_forbidden_trace_ui_in_notebook(index_path: Path) -> None:
notebook_content = """
{
"cells": [
{
"cell_type": "markdown",
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_forbidden_trace_ui_in_notebook.py",
"license": "Apache License 2.0",
"lines": 63,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_incorrect_type_annotation.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.incorrect_type_annotation import IncorrectTypeAnnotation
def test_incorrect_type_annotation(index_path: Path) -> None:
code = """
def bad_function_callable(param: callable) -> callable:
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_incorrect_type_annotation.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_invalid_abstract_method.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.invalid_abstract_method import InvalidAbstractMethod
def test_invalid_abstract_method(index_path: Path) -> None:
code = """
import abc
class AbstractExample(abc.ABC):
@abc.abstractme... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_invalid_abstract_method.py",
"license": "Apache License 2.0",
"lines": 31,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_missing_docstring_param.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.missing_docstring_param import MissingDocstringParam
def test_missing_docstring_param(index_path: Path) -> None:
code = '''
def bad_function(param1: str, param2: int, param3: bool) -> Non... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_missing_docstring_param.py",
"license": "Apache License 2.0",
"lines": 73,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_empty_notebook_cell.py | import json
from pathlib import Path
from clint.config import Config
from clint.linter import lint_file
from clint.rules.empty_notebook_cell import EmptyNotebookCell
def test_empty_notebook_cell(index_path: Path) -> None:
notebook_content = {
"cells": [
{
"cell_type": "code",
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_empty_notebook_cell.py",
"license": "Apache License 2.0",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_log_model_artifact_path.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.log_model_artifact_path import LogModelArtifactPath
def test_log_model_artifact_path(index_path: Path) -> None:
code = """
import mlflow
# Bad - using deprecated artifact_path positional... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_log_model_artifact_path.py",
"license": "Apache License 2.0",
"lines": 25,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_markdown_link.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.markdown_link import MarkdownLink
def test_markdown_link(index_path: Path) -> None:
code = '''
# Bad
def function_with_markdown_link():
"""
This function has a [markdown link](htt... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_markdown_link.py",
"license": "Apache License 2.0",
"lines": 85,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_os_environ_delete_in_test.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.os_environ_delete_in_test import OsEnvironDeleteInTest
def test_os_environ_delete_in_test(index_path: Path) -> None:
code = """
import os
def test_something():
# Bad
del os.envir... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_os_environ_delete_in_test.py",
"license": "Apache License 2.0",
"lines": 74,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_test_name_typo.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.test_name_typo import TestNameTypo
def test_test_name_typo(index_path: Path) -> None:
code = """import pytest
# Bad - starts with 'test' but missing underscore
def testSomething():
a... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_test_name_typo.py",
"license": "Apache License 2.0",
"lines": 28,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/check_function_signatures.py | from __future__ import annotations
import argparse
import ast
import os
import subprocess
import sys
from dataclasses import dataclass
from pathlib import Path
def is_github_actions() -> bool:
return os.environ.get("GITHUB_ACTIONS") == "true"
@dataclass
class Error:
file_path: Path
line: int
column... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/check_function_signatures.py",
"license": "Apache License 2.0",
"lines": 316,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/dev/test_check_function_signatures.py | import ast
from dev.check_function_signatures import check_signature_compatibility
def test_no_changes():
old_code = "def func(a, b=1): pass"
new_code = "def func(a, b=1): pass"
old_tree = ast.parse(old_code)
new_tree = ast.parse(new_code)
errors = check_signature_compatibility(old_tree.body[0],... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/dev/test_check_function_signatures.py",
"license": "Apache License 2.0",
"lines": 157,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_do_not_disable.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.do_not_disable import DoNotDisable
def test_do_not_disable(index_path: Path) -> None:
code = """
# Bad B006
# noqa: B006
# Bad F821
# noqa: F821
# Good
# noqa: B004
"""
config = Con... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_do_not_disable.py",
"license": "Apache License 2.0",
"lines": 39,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_docstring_param_order.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.docstring_param_order import DocstringParamOrder
def test_docstring_param_order(index_path: Path) -> None:
code = """
# Bad
def f(x: int, y: str) -> None:
'''
Args:
y: Sec... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_docstring_param_order.py",
"license": "Apache License 2.0",
"lines": 26,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_forbidden_top_level_import.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.forbidden_top_level_import import ForbiddenTopLevelImport
def test_forbidden_top_level_import(index_path: Path) -> None:
code = """
# Bad
import foo
from foo import bar
# Good
import baz... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_forbidden_top_level_import.py",
"license": "Apache License 2.0",
"lines": 37,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_no_rst.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.no_rst import NoRst
def test_no_rst(index_path: Path) -> None:
code = """
def bad(y: int) -> str:
'''
:param y: The parameter
:returns: The result
'''
def good(x: int) -... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_no_rst.py",
"license": "Apache License 2.0",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_typing_extensions.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules.typing_extensions import TypingExtensions
def test_typing_extensions(index_path: Path) -> None:
code = """
# Bad
from typing_extensions import ParamSpec
# Good
from typing_extensions imp... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_typing_extensions.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_implicit_optional.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules import ImplicitOptional
def test_implicit_optional(index_path: Path) -> None:
code = """
from typing import Optional
# Bad
bad: int = None
class Bad:
x: str = None
# Good
good: Opti... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_implicit_optional.py",
"license": "Apache License 2.0",
"lines": 49,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_multi_assign.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules import MultiAssign
def test_multi_assign(index_path: Path) -> None:
code = """
# Bad - non-constant values
x, y = func1(), func2()
# Good - unpacking from function
a, b = func()
# Good ... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_multi_assign.py",
"license": "Apache License 2.0",
"lines": 20,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_unnamed_thread.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules import UnnamedThread
def test_unnamed_thread(index_path: Path) -> None:
code = """
import threading
# Bad
threading.Thread(target=lambda: None)
# Good
# threading.Thread(target=lambda: ... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_unnamed_thread.py",
"license": "Apache License 2.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_use_sys_executable.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules import UseSysExecutable
def test_use_sys_executable(index_path: Path) -> None:
code = """
import subprocess
import sys
# Bad
subprocess.run(["mlflow", "ui"])
subprocess.check_call(["mlfl... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_use_sys_executable.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/rules/test_missing_notebook_h1_header.py | import json
from pathlib import Path
from clint.config import Config
from clint.linter import lint_file
from clint.rules import MissingNotebookH1Header
def test_missing_notebook_h1_header(index_path: Path) -> None:
notebook = {
"cells": [
{
"cell_type": "markdown",
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_missing_notebook_h1_header.py",
"license": "Apache License 2.0",
"lines": 40,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/data/polars_dataset.py | import json
import logging
from functools import cached_property
from inspect import isclass
from typing import Any, Final, TypedDict
import polars as pl
from polars.datatypes.classes import DataType as PolarsDataType
from polars.datatypes.classes import DataTypeClass as PolarsDataTypeClass
from mlflow.data.dataset i... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/data/polars_dataset.py",
"license": "Apache License 2.0",
"lines": 300,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/data/test_polars_dataset.py | from __future__ import annotations
import json
import re
from datetime import date, datetime
from pathlib import Path
import pandas as pd
import polars as pl
import pytest
from mlflow.data.code_dataset_source import CodeDatasetSource
from mlflow.data.evaluation_dataset import EvaluationDataset
from mlflow.data.files... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/data/test_polars_dataset.py",
"license": "Apache License 2.0",
"lines": 206,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/tracing/utils/copy.py | from typing import Any
from mlflow.entities.span import LiveSpan, Span
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_STATE
from mlflow.tracing.trace_manager import InMemoryTraceManager
def copy_trace_to_experiment(trace_dict: dict[str, Any], experiment_id: str | None ... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracing/utils/copy.py",
"license": "Apache License 2.0",
"lines": 53,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:dev/clint/src/clint/rules/multi_assign.py | import ast
from clint.rules.base import Rule
class MultiAssign(Rule):
def _message(self) -> str:
return (
"Avoid multiple assignment (e.g., `x, y = func()`). Use separate assignments "
"instead for better readability and easier debugging."
)
@staticmethod
def chec... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/multi_assign.py",
"license": "Apache License 2.0",
"lines": 40,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/base.py | import inspect
import itertools
import re
from abc import ABC, abstractmethod
from typing import Any
_id_counter = itertools.count(start=1)
_CLASS_NAME_TO_RULE_NAME_REGEX = re.compile(r"(?<!^)(?=[A-Z])")
class Rule(ABC):
id: str
name: str
def __init_subclass__(cls, **kwargs: Any) -> None:
super(... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/base.py",
"license": "Apache License 2.0",
"lines": 25,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/do_not_disable.py | from typing_extensions import Self
from clint.rules.base import Rule
class DoNotDisable(Rule):
RULES = {
"B006": "Use None as default and set value in function body instead of mutable defaults",
"F821": "Use typing.TYPE_CHECKING for forward references to optional dependencies",
}
def __i... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/do_not_disable.py",
"license": "Apache License 2.0",
"lines": 23,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/docstring_param_order.py | from clint.rules.base import Rule
class DocstringParamOrder(Rule):
def __init__(self, params: list[str]) -> None:
self.params = params
def _message(self) -> str:
return f"Unordered parameters in docstring: {self.params}"
| {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/docstring_param_order.py",
"license": "Apache License 2.0",
"lines": 6,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/extraneous_docstring_param.py | from clint.rules.base import Rule
class ExtraneousDocstringParam(Rule):
def __init__(self, params: set[str]) -> None:
self.params = params
def _message(self) -> str:
return f"Extraneous parameters in docstring: {self.params}"
| {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/extraneous_docstring_param.py",
"license": "Apache License 2.0",
"lines": 6,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/forbidden_set_active_model_usage.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class ForbiddenSetActiveModelUsage(Rule):
def _message(self) -> str:
return (
"Usage of `set_active_model` is not allowed in mlflow, use `_set_active_model` instead."
)
@staticmethod
def check(no... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/forbidden_set_active_model_usage.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/forbidden_top_level_import.py | from clint.rules.base import Rule
class ForbiddenTopLevelImport(Rule):
def __init__(self, module: str) -> None:
self.module = module
def _message(self) -> str:
return (
f"Importing module `{self.module}` at the top level is not allowed "
"in this file. Use lazy import ... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/forbidden_top_level_import.py",
"license": "Apache License 2.0",
"lines": 9,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/forbidden_trace_ui_in_notebook.py | from clint.rules.base import Rule
class ForbiddenTraceUIInNotebook(Rule):
def _message(self) -> str:
return (
"Found the MLflow Trace UI iframe in the notebook. "
"The trace UI in cell outputs will not render correctly in previews or the website. "
"Please run `mlflow.t... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/forbidden_trace_ui_in_notebook.py",
"license": "Apache License 2.0",
"lines": 9,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/implicit_optional.py | import ast
from clint.rules.base import Rule
class ImplicitOptional(Rule):
def _message(self) -> str:
return "Use `Optional` if default value is `None`"
@staticmethod
def check(node: ast.AnnAssign) -> bool:
"""
Returns True if the value to assign is `None` but the type annotation... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/implicit_optional.py",
"license": "Apache License 2.0",
"lines": 51,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/incorrect_type_annotation.py | import ast
from clint.rules.base import Rule
class IncorrectTypeAnnotation(Rule):
MAPPING = {
"callable": "Callable",
"any": "Any",
}
def __init__(self, type_hint: str) -> None:
self.type_hint = type_hint
@staticmethod
def check(node: ast.Name) -> bool:
return no... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/incorrect_type_annotation.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/invalid_abstract_method.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class InvalidAbstractMethod(Rule):
def _message(self) -> str:
return (
"Abstract method should only contain a single statement/expression, "
"and it must be `pass`, `...`, or a docstring."
)
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/invalid_abstract_method.py",
"license": "Apache License 2.0",
"lines": 40,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/invalid_experimental_decorator.py | import ast
from packaging.version import InvalidVersion, Version
from clint.resolver import Resolver
from clint.rules.base import Rule
def _is_valid_version(version: str) -> bool:
try:
v = Version(version)
return not (v.is_devrelease or v.is_prerelease or v.is_postrelease)
except InvalidVers... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/invalid_experimental_decorator.py",
"license": "Apache License 2.0",
"lines": 40,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/log_model_artifact_path.py | import ast
from typing import TYPE_CHECKING
from clint.rules.base import Rule
from clint.utils import resolve_expr
if TYPE_CHECKING:
from clint.index import SymbolIndex
class LogModelArtifactPath(Rule):
def _message(self) -> str:
return "`artifact_path` parameter of `log_model` is deprecated. Use `n... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/log_model_artifact_path.py",
"license": "Apache License 2.0",
"lines": 44,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/markdown_link.py | from clint.rules.base import Rule
class MarkdownLink(Rule):
def _message(self) -> str:
return (
"Markdown link is not supported in docstring. "
"Use reST link instead (e.g., `Link text <link URL>`_)."
)
| {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/markdown_link.py",
"license": "Apache License 2.0",
"lines": 7,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/missing_docstring_param.py | from clint.rules.base import Rule
class MissingDocstringParam(Rule):
def __init__(self, params: set[str]) -> None:
self.params = params
def _message(self) -> str:
return f"Missing parameters in docstring: {self.params}"
| {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/missing_docstring_param.py",
"license": "Apache License 2.0",
"lines": 6,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/os_environ_delete_in_test.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class OsEnvironDeleteInTest(Rule):
def _message(self) -> str:
return (
"Do not delete `os.environ` in test directly (del os.environ[...] or "
"os.environ.pop(...)). Use `monkeypatch.delenv` "
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/os_environ_delete_in_test.py",
"license": "Apache License 2.0",
"lines": 26,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/src/clint/rules/os_environ_set_in_test.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class OsEnvironSetInTest(Rule):
def _message(self) -> str:
return "Do not set `os.environ` in test directly. Use `monkeypatch.setenv` (https://docs.pytest.org/en/stable/reference/reference.html#pytest.MonkeyPatch.setenv)."
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/os_environ_set_in_test.py",
"license": "Apache License 2.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/src/clint/rules/pytest_mark_repeat.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class PytestMarkRepeat(Rule):
def _message(self) -> str:
return (
"@pytest.mark.repeat decorator should not be committed. "
"This decorator is meant for local testing only to check for flaky tests."
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/pytest_mark_repeat.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/typing_extensions.py | from clint.rules.base import Rule
class TypingExtensions(Rule):
def __init__(self, *, full_name: str, allowlist: list[str]) -> None:
self.full_name = full_name
self.allowlist = allowlist
def _message(self) -> str:
return (
f"`{self.full_name}` is not allowed to use. Only {... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/typing_extensions.py",
"license": "Apache License 2.0",
"lines": 12,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/unknown_mlflow_arguments.py | from clint.rules.base import Rule
class UnknownMlflowArguments(Rule):
def __init__(self, function_name: str, unknown_args: set[str]) -> None:
self.function_name = function_name
self.unknown_args = unknown_args
def _message(self) -> str:
args_str = ", ".join(f"`{arg}`" for arg in sorte... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/unknown_mlflow_arguments.py",
"license": "Apache License 2.0",
"lines": 11,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/unknown_mlflow_function.py | from clint.rules.base import Rule
class UnknownMlflowFunction(Rule):
def __init__(self, function_name: str) -> None:
self.function_name = function_name
def _message(self) -> str:
return (
f"Unknown MLflow function: `{self.function_name}`. "
"This function may not exist... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/unknown_mlflow_function.py",
"license": "Apache License 2.0",
"lines": 9,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/unnamed_thread.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class UnnamedThread(Rule):
def _message(self) -> str:
return (
"`threading.Thread()` must be called with a `name` argument to improve debugging "
"and traceability of thread-related issues."
)... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/unnamed_thread.py",
"license": "Apache License 2.0",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/unparameterized_generic_type.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class UnparameterizedGenericType(Rule):
def __init__(self, type_hint: str) -> None:
self.type_hint = type_hint
@staticmethod
def is_generic_type(node: ast.Name | ast.Attribute, resolver: Resolver) -> bool:
i... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/unparameterized_generic_type.py",
"license": "Apache License 2.0",
"lines": 27,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/use_sys_executable.py | import ast
from clint.resolver import Resolver
from clint.rules.base import Rule
class UseSysExecutable(Rule):
def _message(self) -> str:
return (
"Use `[sys.executable, '-m', 'mlflow', ...]` when running mlflow CLI in a subprocess."
)
@staticmethod
def check(node: ast.Call, ... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/use_sys_executable.py",
"license": "Apache License 2.0",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/utils.py | from __future__ import annotations
import ast
import re
import subprocess
from functools import lru_cache
from pathlib import Path
@lru_cache(maxsize=1)
def get_repo_root() -> Path:
"""Find the git repository root directory with caching."""
try:
result = subprocess.check_output(["git", "rev-parse", "... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/utils.py",
"license": "Apache License 2.0",
"lines": 69,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:dev/clint/src/clint/index.py | """Symbol indexing for MLflow codebase.
This module provides efficient indexing and lookup of Python symbols (functions, classes)
across the MLflow codebase using AST parsing and parallel processing.
Key components:
- FunctionInfo: Lightweight function signature information
- ModuleSymbolExtractor: AST visitor for ex... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/index.py",
"license": "Apache License 2.0",
"lines": 179,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/tracing/config.py | from dataclasses import dataclass, field, replace
from typing import TYPE_CHECKING, Any, Callable
from mlflow.tracing.utils.processor import validate_span_processors
if TYPE_CHECKING:
from mlflow.entities.span import LiveSpan
@dataclass
class TracingConfig:
"""Configuration for MLflow tracing behavior."""
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracing/config.py",
"license": "Apache License 2.0",
"lines": 91,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:mlflow/tracing/utils/processor.py | import logging
from mlflow.exceptions import MlflowException
_logger = logging.getLogger(__name__)
def apply_span_processors(span):
"""Apply configured span processors sequentially to the span."""
from mlflow.tracing.config import get_config
config = get_config()
if not config.span_processors:
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracing/utils/processor.py",
"license": "Apache License 2.0",
"lines": 41,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/tracing/utils/test_config.py | import pytest
import mlflow
from mlflow.tracing.config import TracingConfig, get_config
@pytest.fixture(autouse=True)
def reset_tracing_config():
mlflow.tracing.reset()
def test_tracing_config_default_values():
config = TracingConfig()
assert config.span_processors == []
def test_configure():
# D... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/tracing/utils/test_config.py",
"license": "Apache License 2.0",
"lines": 74,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/tracing/utils/test_processor.py | from unittest.mock import patch
import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.tracing.utils.processor import validate_span_processors
from tests.tracing.helper import get_traces
@mlflow.trace
def predict(text: str):
return "Answer: " + text
@pytest.fixture(autouse=True... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/tracing/utils/test_processor.py",
"license": "Apache License 2.0",
"lines": 93,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/src/clint/comments.py | import io
import re
import tokenize
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterator
from typing_extensions import Self
if TYPE_CHECKING:
from clint.linter import Position
NOQA_REGEX = re.compile(r"#\s*noqa\s*:\s*([A-Z]\d+(?:\s*,\s*[A-Z]\d+)*)", re.IGNORECASE)
@dataclass
class Noqa:... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/comments.py",
"license": "Apache License 2.0",
"lines": 34,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/server/graphql/graphql_no_batching.py | from typing import NamedTuple
from graphql.error import GraphQLError
from graphql.execution import ExecutionResult
from graphql.language.ast import DocumentNode, FieldNode
from mlflow.environment_variables import (
MLFLOW_SERVER_GRAPHQL_MAX_ALIASES,
MLFLOW_SERVER_GRAPHQL_MAX_ROOT_FIELDS,
)
_MAX_DEPTH = 10
_M... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/server/graphql/graphql_no_batching.py",
"license": "Apache License 2.0",
"lines": 74,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:dev/clint/src/clint/resolver.py | import ast
from collections.abc import Iterator
from contextlib import contextmanager
class Resolver:
def __init__(self) -> None:
self.name_map: dict[str, list[str]] = {}
self._scope_stack: list[dict[str, list[str]]] = []
def clear(self) -> None:
"""Clear all name mappings. Useful whe... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/resolver.py",
"license": "Apache License 2.0",
"lines": 72,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:dev/remove_experimental_decorators.py | """
Script to automatically remove @experimental decorators from functions
that have been experimental for more than a configurable cutoff period (default: 6 months).
"""
import argparse
import ast
import json
import subprocess
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from p... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/remove_experimental_decorators.py",
"license": "Apache License 2.0",
"lines": 144,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/dev/test_remove_experimental_decorators.py | import subprocess
import sys
from pathlib import Path
SCRIPT_PATH = "dev/remove_experimental_decorators.py"
def test_script_with_specific_file(tmp_path: Path) -> None:
test_file = tmp_path / "test.py"
test_file.write_text("""
@experimental(version="1.0.0")
def func():
pass
""")
output = subprocess.c... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/dev/test_remove_experimental_decorators.py",
"license": "Apache License 2.0",
"lines": 111,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/tracing/export/utils.py | """
Utility functions for prompt linking in trace exporters.
"""
import logging
import threading
import uuid
from typing import Sequence
from mlflow.entities.model_registry import PromptVersion
from mlflow.tracing.client import TracingClient
_logger = logging.getLogger(__name__)
def try_link_prompts_to_trace(
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracing/export/utils.py",
"license": "Apache License 2.0",
"lines": 58,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/tracing/test_tracing_client.py | import json
import uuid
from unittest.mock import Mock, patch
import pytest
from opentelemetry import trace as trace_api
from opentelemetry.sdk.trace import ReadableSpan as OTelReadableSpan
import mlflow
from mlflow.entities.span import create_mlflow_span
from mlflow.environment_variables import MLFLOW_TRACING_SQL_WA... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/tracing/test_tracing_client.py",
"license": "Apache License 2.0",
"lines": 209,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/prompts/test_prompts.py | import json
import threading
import time
from concurrent.futures import ThreadPoolExecutor
from unittest import mock
import jinja2
import pytest
from pydantic import BaseModel, ValidationError
import mlflow
from mlflow import MlflowClient
from mlflow.entities.model_registry import PromptModelConfig, PromptVersion
fro... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/prompts/test_prompts.py",
"license": "Apache License 2.0",
"lines": 1628,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/evaluate/test_to_predict_fn.py | import importlib.metadata
from unittest import mock
import pytest
import mlflow
from mlflow.entities.trace_info import TraceInfo
from mlflow.environment_variables import MLFLOW_ENABLE_ASYNC_TRACE_LOGGING
from mlflow.exceptions import MlflowException
from mlflow.genai.evaluation.base import to_predict_fn
from mlflow.g... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/evaluate/test_to_predict_fn.py",
"license": "Apache License 2.0",
"lines": 482,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/model_registry/test_abstract_store.py | import json
import threading
import time
from unittest import mock
import pytest
from mlflow.entities.logged_model import LoggedModel
from mlflow.entities.logged_model_tag import LoggedModelTag
from mlflow.entities.model_registry.model_version import ModelVersion
from mlflow.entities.model_registry.model_version_tag ... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/model_registry/test_abstract_store.py",
"license": "Apache License 2.0",
"lines": 590,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/entities/model_registry/prompt_version.py | from __future__ import annotations
import json
import re
from typing import Any
from pydantic import BaseModel, Field, ValidationError
from mlflow.entities.model_registry._model_registry_entity import _ModelRegistryEntity
from mlflow.entities.model_registry.model_version_tag import ModelVersionTag
from mlflow.except... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/entities/model_registry/prompt_version.py",
"license": "Apache License 2.0",
"lines": 490,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:mlflow/genai/label_schemas/label_schemas.py | from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import TYPE_CHECKING, TypeVar
from mlflow.genai.utils.enum_utils import StrEnum
if TYPE_CHECKING:
from databricks.agents.review_app import label_schemas as _label_schemas
_InputCategorical = _label_schemas.InputCategorical
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/label_schemas/label_schemas.py",
"license": "Apache License 2.0",
"lines": 166,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/genai/labeling/labeling.py | from typing import TYPE_CHECKING, Any, Iterable, Union
from mlflow.entities import Trace
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
if TYPE_CHECKING:
import pandas as pd
from databricks.agents.review_app import (
LabelSchema as _Label... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/labeling/labeling.py",
"license": "Apache License 2.0",
"lines": 254,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/genai/label_schemas/test_label_schemas.py | import dataclasses
from contextlib import contextmanager
from unittest.mock import MagicMock, patch
import pytest
from mlflow.genai import label_schemas
from mlflow.genai.label_schemas import (
EXPECTED_FACTS,
EXPECTED_RESPONSE,
GUIDELINES,
InputCategorical,
InputCategoricalList,
InputNumeric,... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/label_schemas/test_label_schemas.py",
"license": "Apache License 2.0",
"lines": 610,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/labeling/test_labeling.py | from mlflow.genai import labeling
from mlflow.genai.labeling import (
Agent,
LabelingSession,
ReviewApp,
create_labeling_session,
delete_labeling_session,
get_labeling_session,
get_labeling_sessions,
get_review_app,
)
from tests.genai.conftest import databricks_only
@databricks_only
d... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/labeling/test_labeling.py",
"license": "Apache License 2.0",
"lines": 22,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/genai/scorers/scorer_utils.py | # This file contains utility functions for scorer functionality.
import ast
import inspect
import json
import logging
import re
from textwrap import dedent
from typing import TYPE_CHECKING, Any, Callable
from mlflow.exceptions import INVALID_PARAMETER_VALUE, MlflowException
if TYPE_CHECKING:
from mlflow.genai.ut... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scorers/scorer_utils.py",
"license": "Apache License 2.0",
"lines": 235,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/genai/scorers/test_scorer_utils.py | import json
import pytest
from mlflow.entities import Assessment, Feedback, Trace
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.scorer_utils import (
BUILTIN_SCORER_PYDANTIC_DATA,
INSTRUCTIONS_JUDGE_PYDANTIC_DATA,
build_gateway_model,
extract_endpoint_ref,
extract_model_f... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/test_scorer_utils.py",
"license": "Apache License 2.0",
"lines": 457,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/scorers/test_serialization.py | import json
from unittest.mock import patch
import pytest
from mlflow.entities import Feedback
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers import Scorer, scorer
from mlflow.genai.scorers.builtin_scorers import Guidelines
@pytest.fixture(autouse=True)
def mock_databricks_runtime():
wi... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/test_serialization.py",
"license": "Apache License 2.0",
"lines": 520,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/genai/scheduled_scorers.py | from dataclasses import dataclass
from mlflow.genai.scorers.base import Scorer
_ERROR_MSG = (
"The `databricks-agents` package is required to use `mlflow.genai.scheduled_scorers`. "
"Please install it with `pip install databricks-agents`."
)
@dataclass()
class ScorerScheduleConfig:
"""
A scheduled s... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scheduled_scorers.py",
"license": "Apache License 2.0",
"lines": 65,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:tests/genai/test_scheduled_scorers.py | from mlflow.genai.scheduled_scorers import (
ScorerScheduleConfig,
)
from mlflow.genai.scorers.base import Scorer
class MockScorer(Scorer):
"""Mock scorer for testing purposes."""
name: str = "mock_scorer"
def __call__(self, *, outputs=None, **kwargs):
return {"score": 1.0}
def test_schedu... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/test_scheduled_scorers.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/genai/utils/enum_utils.py | from enum import Enum, EnumMeta
class MetaEnum(EnumMeta):
"""Metaclass for Enum classes that allows to check if a value is a valid member of the Enum."""
def __contains__(cls, item):
try:
cls(item)
except ValueError:
return False
return True
class StrEnum(str... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/utils/enum_utils.py",
"license": "Apache License 2.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
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