repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_modules.py | test_kbit_backprop | assert_* | variable | 84 | import inspect
import pytest
import torch
from torch import nn
import bitsandbytes as bnb
from tests.helpers import get_available_devices, id_formatter, is_supported_on_hpu
def get_args():
args = MockArgs([])
args.quant_type = "vector"
args.use_8bit_training = "full"
args.clip_freq = 9999
return ... | grad2) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_modules.py | test_kbit_backprop | assert_* | variable | 85 | import inspect
import pytest
import torch
from torch import nn
import bitsandbytes as bnb
from tests.helpers import get_available_devices, id_formatter, is_supported_on_hpu
def get_args():
args = MockArgs([])
args.quant_type = "vector"
args.use_8bit_training = "full"
args.clip_freq = 9999
return ... | bgrad2) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_modules.py | test_linear8bitlt_inference | assert | complex_expr | 30 | import inspect
import pytest
import torch
from torch import nn
import bitsandbytes as bnb
from tests.helpers import get_available_devices, id_formatter, is_supported_on_hpu
def get_args():
args = MockArgs([])
args.quant_type = "vector"
args.use_8bit_training = "full"
args.clip_freq = 9999
return ... | torch.int8 | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_vectorwise_quant | assert | numeric_literal | 31 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("thr... | 1 | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_vectorwise_quant | assert | none_literal | 30 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("thr... | None | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_vectorwise_quant | assert | collection | 25 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("thr... | (10,) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_scaled_mm | assert | variable | 26 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("dev... | dtype | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_dequantize_4bit | assert | variable | 41 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class Test4bitBlockwiseQuantOps:
@pytest.mark.param... | shape | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_mm_dequant | assert | complex_expr | 21 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("dev... | A.shape | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_linear_matmul | assert | collection | 19 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("devi... | (10, 30) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_linear_matmul | assert | complex_expr | 21 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("devi... | A.device | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_ops.py | test_int8_vectorwise_quant | assert | collection | 22 | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import HIP_ENVIRONMENT
from bitsandbytes.functional import ipex_xpu
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("thr... | (10, 20) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | assert_most_approx_close | assert_* | variable | 25 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | b) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_optimizer8bit | assert | numeric_literal | 107 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | 20 | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_optimizer32bit | assert | numeric_literal | 114 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | 0.0 | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_optimizer32bit | assert_* | variable | 112 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | p2) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_optimizer8bit | assert_* | variable | 165 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | s1) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_optimizer8bit | assert | numeric_literal | 114 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | 0.0016 | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_global_config | assert | complex_expr | 77 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | torch.uint8 | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_optimizer32bit | assert_* | func_call | 81 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | p2.float()) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_adam_percentile_clipping | assert_* | complex_expr | 79 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | adam2.state[p2]["state1"]) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_adam_percentile_clipping | assert_* | complex_expr | 85 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | adam2.state[p2]["state2"]) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_optim.py | test_optimizer32bit | assert_* | complex_expr | 97 | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | bnb_optimizer.state[p2][name2]) | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
bitsandbytes-foundation/bitsandbytes | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | train | train | tests/test_triton.py | test_switchback | assert | complex_expr | 46 | import pytest
import torch
from bitsandbytes.nn import Linear8bitLt
from bitsandbytes.nn.triton_based_modules import SwitchBackLinear
from bitsandbytes.triton.triton_utils import is_triton_available
from tests.helpers import TRUE_FALSE
@pytest.mark.skipif(
not is_triton_available() or not torch.cuda.is_available(... | 2 * err_baseline | 14147f6f4aacc217f207b11a97b3ef7c7da57763 | 140 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chart_handler.py | test_get_chart_false_returns_only_data_json_mode | assert | numeric_literal | 31 | import json
from unittest.mock import Mock, patch
import pandas as pd
import pytest
from boring_semantic_layer.agents.utils.chart_handler import generate_chart_with_data
def mock_query_result():
"""Create a mock query result with execute() method."""
mock_result = Mock()
df = pd.DataFrame({"origin": ["AT... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chart_handler.py | test_records_limit_cli_mode | assert | numeric_literal | 38 | import json
from unittest.mock import Mock, patch
import pandas as pd
import pytest
from boring_semantic_layer.agents.utils.chart_handler import generate_chart_with_data
def mock_query_result():
"""Create a mock query result with execute() method."""
mock_result = Mock()
df = pd.DataFrame({"origin": ["AT... | 5 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chart_handler.py | test_single_row_result_hides_chart | assert | numeric_literal | 40 | import json
from unittest.mock import Mock, patch
import pandas as pd
import pytest
from boring_semantic_layer.agents.utils.chart_handler import generate_chart_with_data
def mock_query_result():
"""Create a mock query result with execute() method."""
mock_result = Mock()
df = pd.DataFrame({"origin": ["AT... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chart_handler.py | test_two_row_result_shows_chart | assert | numeric_literal | 38 | import json
from unittest.mock import Mock, patch
import pandas as pd
import pytest
from boring_semantic_layer.agents.utils.chart_handler import generate_chart_with_data
def mock_query_result():
"""Create a mock query result with execute() method."""
mock_result = Mock()
df = pd.DataFrame({"origin": ["AT... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chart_handler.py | test_cli_mode_allows_plotext_backend | assert | numeric_literal | 34 | import json
from unittest.mock import Mock, patch
import pandas as pd
import pytest
from boring_semantic_layer.agents.utils.chart_handler import generate_chart_with_data
def mock_query_result():
"""Create a mock query result with execute() method."""
mock_result = Mock()
df = pd.DataFrame({"origin": ["AT... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chats_cli.py | test_display_query_model_multiline | assert | numeric_literal | 15 | from unittest.mock import Mock, patch
class TestDisplayToolCall:
def test_display_query_model_multiline(self):
"""Test displaying a multiline query_model call."""
from boring_semantic_layer.agents.chats.cli import display_tool_call
with patch("boring_semantic_layer.agents.chats.cli.consol... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_cli_skill.py | test_skill_urls_point_to_valid_docs | assert | numeric_literal | 32 | import re
import subprocess
from argparse import Namespace
from pathlib import Path
import pytest
from boring_semantic_layer.agents.cli import (
TOOL_CONFIGS,
_discover_skills_for_tool,
_get_skills_dir,
cmd_skill_install,
cmd_skill_list,
cmd_skill_show,
)
class TestSkillDocURLs:
def test... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_langgraph_backend.py | test_query_returns_tuple | assert | numeric_literal | 41 | from unittest.mock import Mock, patch
import pytest
pytest.importorskip("langchain", reason="langchain not installed")
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"category", "region"}
mock_model.measures = {"count", "total"}
mock_model.description ... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_langgraph_backend.py | test_query_calls_on_tool_call_callback | assert | numeric_literal | 47 | from unittest.mock import Mock, patch
import pytest
pytest.importorskip("langchain", reason="langchain not installed")
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"category", "region"}
mock_model.measures = {"count", "total"}
mock_model.description ... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_langgraph_backend.py | test_reset_history | assert | numeric_literal | 40 | from unittest.mock import Mock, patch
import pytest
pytest.importorskip("langchain", reason="langchain not installed")
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"category", "region"}
mock_model.measures = {"count", "total"}
mock_model.description ... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_claude_desktop_json_dimensions | assert | numeric_literal | 61 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_json_filters | assert | numeric_literal | 61 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_end_to_end_claude_desktop_query | assert | numeric_literal | 63 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_semantic_mcp.py | test_list_models | assert | numeric_literal | 93 | import json
import ibis
import pandas as pd
import pytest
from fastmcp import Client
from fastmcp.exceptions import ToolError
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def sample_models(con):... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_semantic_mcp.py | test_query_with_get_chart_false_returns_records_only | assert | numeric_literal | 102 | import json
import ibis
import pandas as pd
import pytest
from fastmcp import Client
from fastmcp.exceptions import ToolError
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def sample_models(con):... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_tool_definitions_is_list | assert | numeric_literal | 23 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | 4 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_query_model_raises_tool_exception_on_error | assert | numeric_literal | 43 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_backends.py | test_single_value_indicator | assert | numeric_literal | 58 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_backends.py | test_grouped_bar_multiple_measures | assert | numeric_literal | 59 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_chart.py | test_chart_json_roundtrip_plotly | assert | numeric_literal | 61 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_md_executor.py | test_multiline_statement | assert | numeric_literal | 16 | from boring_semantic_layer.chart.md_parser import QueryExecutor
class TestQueryExecutor:
def test_multiline_statement(self):
"""Test execution of multiline statements."""
executor = QueryExecutor()
code = """
def add(a, b):
return a + b
result = add(5, 3)
"""
executor.execute(... | 8 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_melt_dataframe_for_multiple_measures | assert | numeric_literal | 30 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | 4 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_chart.py | test_chart_json_roundtrip_plotly | assert | numeric_literal | 61 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_chart.py | test_equality_operators_equivalence | assert | numeric_literal | 97 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_config_projection_pushdown.py | test_projection_pushdown_multiple_tables | assert | numeric_literal | 99 | import contextlib
import ibis
import pytest
from boring_semantic_layer import to_semantic_table, to_untagged
pytestmark = pytest.mark.xfail(
reason="Projection pushdown disabled for xorq vendored ibis compatibility"
)
def wide_table(ibis_con):
"""Create a wide table with many unused columns."""
# Create... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_date_filter_fix.py | test_date_filter_single_comparison | assert | numeric_literal | 59 | import ibis
import pytest
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.query import Filter, query
class TestDateFilterConversion:
def orders_table(self):
"""Create orders table with date column."""
con = ibis.duckdb.connect(":memory:")
return con.crea... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_date_filter_fix.py | test_date_filter_in_operator | assert | numeric_literal | 62 | import ibis
import pytest
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.query import Filter, query
class TestDateFilterConversion:
def orders_table(self):
"""Create orders table with date column."""
con = ibis.duckdb.connect(":memory:")
return con.crea... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_date_filter_fix.py | test_combined_date_and_string_filters | assert | numeric_literal | 62 | import ibis
import pytest
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.query import Filter, query
class TestDateFilterConversion:
def orders_table(self):
"""Create orders table with date column."""
con = ibis.duckdb.connect(":memory:")
return con.crea... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_deferred_api.py | test_deferred_in_with_measures | assert | numeric_literal | 22 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
def test_deferred_in_with_measures():
"""Test using deferred expressions in with_measures()."""
con = ibis.duckdb.connect(":memory:")
flights = pd.DataFrame({"carrier": ["AA", "AA", "UA"], ... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_deferred_api.py | test_deferred_in_with_dimensions | assert | numeric_literal | 30 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
def test_deferred_in_with_dimensions():
"""Test using deferred expressions in with_dimensions()."""
con = ibis.duckdb.connect(":memory:")
flights = pd.DataFrame(
{
"carr... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_deferred_api.py | test_deferred_in_filter | assert | numeric_literal | 22 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
def test_deferred_in_filter():
"""Test using deferred expressions in filter()."""
con = ibis.duckdb.connect(":memory:")
flights = pd.DataFrame({"carrier": ["AA", "AA", "UA"], "distance": [1... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_deferred_api.py | test_deferred_comprehensive_workflow | assert | numeric_literal | 67 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
def test_deferred_comprehensive_workflow():
"""
Comprehensive test using deferred API in ALL applicable methods in a single workflow:
- with_dimensions() ✓
- with_measures() ✓
- fil... | 4 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dependency_graph.py | test_bfs_simple_chain | assert | numeric_literal | 30 | import ibis
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.graph_utils import (
graph_bfs,
graph_invert,
graph_predecessors,
graph_successors,
graph_to_dict,
)
def test_bfs_simple_chain():
"""Test BFS on a simple dependency chain."""
tbl = ibis.memtable(... | 4 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dependency_graph.py | test_to_dict_export | assert | numeric_literal | 71 | import ibis
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.graph_utils import (
graph_bfs,
graph_invert,
graph_predecessors,
graph_successors,
graph_to_dict,
)
def test_to_dict_export():
"""Test exporting graph to dictionary format."""
tbl = ibis.memtabl... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dependency_groups.py | test_all_dependency_groups_in_dev | assert | numeric_literal | 33 | import sys
from pathlib import Path
import pytest
class TestDependencyGroupDocumentation:
def test_all_dependency_groups_in_dev(self):
"""Verify dev dependency group includes all optional dependencies."""
# Use tomllib (Python 3.11+) or tomli (Python 3.10)
if sys.version_info >= (3, 11):
... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dimension_validation.py | test_valid_dimension_renamed | assert | numeric_literal | 23 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_valid_dimension_renamed():
"""Test that dimensions can be renamed (dimension name != column name)."""
con = ibis.duckdb.connect(":memory:")
tbl = con.create_table("test", {"destination": ["NYC", "LAX... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dimension_validation.py | test_join_dimension_matching_column_name | assert | numeric_literal | 49 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_join_dimension_matching_column_name():
"""Test that joining on a dimension name that matches column name works."""
con = ibis.duckdb.connect(":memory:")
# Both tables have column 'customer_id'
c... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_filter_with_dimensions.py | test_filter_then_with_dimensions | assert | numeric_literal | 52 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""Create an in-memory DuckDB connection."""
return ibis.duckdb.connect(":memory:")
def flights(con):
"""Create a sample flights table for testing."""
df = pd.DataFrame(
{
... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_filter_with_dimensions.py | test_filter_then_with_measures | assert | numeric_literal | 51 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""Create an in-memory DuckDB connection."""
return ibis.duckdb.connect(":memory:")
def flights(con):
"""Create a sample flights table for testing."""
df = pd.DataFrame(
{
... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_filter_with_dimensions.py | test_multiple_filters_with_dimensions | assert | numeric_literal | 52 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""Create an in-memory DuckDB connection."""
return ibis.duckdb.connect(":memory:")
def flights(con):
"""Create a sample flights table for testing."""
df = pd.DataFrame(
{
... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_graph_utils.py | test_find_entity_dimensions_with_entities | assert | numeric_literal | 35 | import ibis
import pytest
from ibis.expr.operations.relations import Aggregate
from boring_semantic_layer.expr import SemanticModel
from boring_semantic_layer.graph_utils import (
bfs,
find_dimensions_and_measures,
find_entity_dimensions,
find_event_timestamp_dimensions,
gen_children_of,
replac... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_graph_utils.py | test_find_event_timestamp_dimensions_with_timestamp | assert | numeric_literal | 46 | import ibis
import pytest
from ibis.expr.operations.relations import Aggregate
from boring_semantic_layer.expr import SemanticModel
from boring_semantic_layer.graph_utils import (
bfs,
find_dimensions_and_measures,
find_entity_dimensions,
find_event_timestamp_dimensions,
gen_children_of,
replac... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_index.py | test_index_all_dimensions | assert | numeric_literal | 83 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def airports_table(con):
"""Create airports test data."""
airports_df = pd.DataFrame(
{
"code"... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_index.py | test_index_specific_dimension_string | assert | numeric_literal | 87 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def airports_table(con):
"""Create airports test data."""
airports_df = pd.DataFrame(
{
"code"... | 4 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_index.py | test_index_weights_are_counts | assert | numeric_literal | 85 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def airports_table(con):
"""Create airports test data."""
airports_df = pd.DataFrame(
{
"code"... | 5 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_index.py | test_index_weights_are_counts | assert | numeric_literal | 88 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def airports_table(con):
"""Create airports test data."""
airports_df = pd.DataFrame(
{
"code"... | 6 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_index.py | test_index_then_filter | assert | numeric_literal | 83 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def airports_table(con):
"""Create airports test data."""
airports_df = pd.DataFrame(
{
"code"... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_index.py | test_index_then_limit | assert | numeric_literal | 83 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def airports_table(con):
"""Create airports test data."""
airports_df = pd.DataFrame(
{
"code"... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_join_prefixing.py | test_conflicting_measure_names_both_accessible | assert | numeric_literal | 94 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def ecommerce_tables(con):
"""Create a realistic e-commerce schema with multiple tables."""
# Orders table
ord... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_join_prefixing.py | test_deeply_nested_chained_joins | assert | numeric_literal | 122 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def ecommerce_tables(con):
"""Create a realistic e-commerce schema with multiple tables."""
# Orders table
ord... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_join_prefixing.py | test_duplicate_column_names_in_joins | assert | numeric_literal | 129 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def ecommerce_tables(con):
"""Create a realistic e-commerce schema with multiple tables."""
# Orders table
ord... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_inspired.py | test_basic_sessionization_with_row_numbers | assert | numeric_literal | 105 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
class TestSessionization:
def test_basic_sessionization_with_row_numbers(self):
"""Convert flat events into sessions with row numbering."""
con = ibis.duckdb.connect(":memory:")
... | 5 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_inspired.py | test_session_metrics_with_duration | assert | numeric_literal | 58 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
class TestSessionization:
def test_session_metrics_with_duration(self):
"""Calculate session-level metrics including duration."""
con = ibis.duckdb.connect(":memory:")
eve... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_inspired.py | test_session_metrics_with_duration | assert | numeric_literal | 61 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
class TestSessionization:
def test_session_metrics_with_duration(self):
"""Calculate session-level metrics including duration."""
con = ibis.duckdb.connect(":memory:")
eve... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_inspired.py | test_temporal_hierarchy_year_month_day | assert | numeric_literal | 58 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
class TestNestedSubtotals:
def test_temporal_hierarchy_year_month_day(self):
"""Test year → month → day hierarchical aggregation."""
con = ibis.duckdb.connect(":memory:")
... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_inspired.py | test_temporal_hierarchy_year_month_day | assert | numeric_literal | 59 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
class TestNestedSubtotals:
def test_temporal_hierarchy_year_month_day(self):
"""Test year → month → day hierarchical aggregation."""
con = ibis.duckdb.connect(":memory:")
... | 4 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_inspired.py | test_nested_subtotals_with_category_hierarchy | assert | numeric_literal | 68 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
class TestNestedSubtotals:
def test_nested_subtotals_with_category_hierarchy(self):
"""Test category → subcategory → product hierarchy."""
con = ibis.duckdb.connect(":memory:")
... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_inspired.py | test_top_n_products_per_category | assert | numeric_literal | 58 | import ibis
import pandas as pd
import pytest
from ibis import _
from boring_semantic_layer import to_semantic_table
class TestTopNWithNesting:
def test_top_n_products_per_category(self):
"""Get top 3 products per category by revenue."""
con = ibis.duckdb.connect(":memory:")
products_df ... | 6 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_xorq_roundtrip.py | test_multiple_measures_roundtrip | assert | numeric_literal | 61 | from __future__ import annotations
import pytest
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestMalloyModelsRoundTrip:
def test_multiple_measures_roundtrip(self):
"""Test model with multiple calculated measures."""
import ibis
import pand... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_mcp_json_parsing.py | test_claude_desktop_json_dimensions | assert | numeric_literal | 61 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_mcp_json_parsing.py | test_json_filters | assert | numeric_literal | 61 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_mcp_json_parsing.py | test_end_to_end_claude_desktop_query | assert | numeric_literal | 63 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_nested_access.py | test_single_level_nested_count | assert | numeric_literal | 30 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_single_level_nested_count():
"""Test automatic unnesting with single-level array (t.hits.count())."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"session_id": [... | 4 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_nested_access.py | test_single_level_nested_count | assert | numeric_literal | 31 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_single_level_nested_count():
"""Test automatic unnesting with single-level array (t.hits.count())."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"session_id": [... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_nested_access.py | test_double_level_nested_count | assert | numeric_literal | 32 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_double_level_nested_count():
"""Test automatic unnesting with double-nested arrays (t.hits.product.count())."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"sess... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_nested_access.py | test_mixed_session_and_hit_level | assert | numeric_literal | 38 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_mixed_session_and_hit_level():
"""Test mixing session-level and hit-level measures in same query."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"session_id": [1... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_nested_access.py | test_mixed_session_and_hit_level | assert | numeric_literal | 39 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_mixed_session_and_hit_level():
"""Test mixing session-level and hit-level measures in same query."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"session_id": [1... | 5 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_notation_styles.py | test_dot_notation_in_post_agg_mutate | assert | numeric_literal | 55 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer.api import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_data(con):
"""Sample flights data for testing."""
flights_df = pd.DataFrame(
{
... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_notation_styles.py | test_dimension_with_metadata | assert | numeric_literal | 52 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer.api import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_data(con):
"""Sample flights data for testing."""
flights_df = pd.DataFrame(
{
... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_profile.py | test_parquet_loading_with_duckdb | assert | numeric_literal | 55 | import tempfile
from pathlib import Path
import pytest
from boring_semantic_layer.profile import (
ProfileError,
get_connection,
)
def temp_dir():
"""Create a temporary directory for testing."""
with tempfile.TemporaryDirectory() as tmpdir:
yield Path(tmpdir)
def sample_profile_yaml(temp_dir... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_query.py | test_simple_query | assert | numeric_literal | 50 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for tests."""
return ibis.duckdb.connect(":memory:")
def flights_data(con):
"""Sample flights data."""
df = pd.DataFrame(
{
"carrier": ["AA", "UA", "DL... | 3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_query.py | test_query_without_dimensions | assert | numeric_literal | 45 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for tests."""
return ibis.duckdb.connect(":memory:")
def flights_data(con):
"""Sample flights data."""
df = pd.DataFrame(
{
"carrier": ["AA", "UA", "DL... | 1 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_query.py | test_query_with_limit | assert | numeric_literal | 51 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for tests."""
return ibis.duckdb.connect(":memory:")
def flights_data(con):
"""Sample flights data."""
df = pd.DataFrame(
{
"carrier": ["AA", "UA", "DL... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_query.py | test_lambda_filter | assert | numeric_literal | 51 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for tests."""
return ibis.duckdb.connect(":memory:")
def flights_data(con):
"""Sample flights data."""
df = pd.DataFrame(
{
"carrier": ["AA", "UA", "DL... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_real_world_scenarios.py | test_customer_lifetime_value | assert | numeric_literal | 142 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
class TestEcommerceAnalytics:
def ecommerce_data(self, con):
"""Setup e-commerce test data."""
# User... | 2 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_real_world_scenarios.py | test_customer_lifetime_value | assert | numeric_literal | 144 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
class TestEcommerceAnalytics:
def ecommerce_data(self, con):
"""Setup e-commerce test data."""
# User... | 0 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
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