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Python: Add API for importing well log data
Implement comprehensive Python API for importing well log data into ResInsight well paths using lists of float values. Core implementation: - RigImportedWellLogData: Data storage class inheriting from RigWellLogData - RimImportedWellLog: Scriptable model class for Python GRPC interface - RimcWellPath_addWellLogInternal: GRPC method using key-value store for data transfer - well_path.add_well_log(): Python API with validation and error handling Features: - Simple API: well_path.add_well_log(name='LogName', values=[1.0, 2.0, 3.0]) - Comprehensive input validation and type checking - Efficient data transfer via key-value store mechanism - Proper error handling with cleanup on failure - Integration with existing well path functionality Testing: - 10 comprehensive unit tests covering all functionality - Validation of input types, error conditions, and edge cases - Integration testing with well path creation Usage example included in PythonExamples directory demonstrating import of gamma ray, porosity, and permeability log data.
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"""
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Example: Import Well Log Data to Well Paths
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This example demonstrates how to import well log data from Python arrays
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into ResInsight well paths using the new well log import API.
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"""
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import rips
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def create_example_well_log_data():
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"""Create example well log data"""
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# Simulated gamma ray log data
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gamma_ray = [75.2, 82.1, 78.5, 80.3, 85.7, 88.2, 90.1, 87.3, 84.6, 82.8]
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# Simulated porosity log data
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porosity = [0.12, 0.15, 0.18, 0.22, 0.25, 0.28, 0.24, 0.20, 0.16, 0.14]
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# Simulated permeability log data
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permeability = [15.5, 22.3, 35.8, 48.2, 65.1, 78.4, 52.9, 38.7, 25.6, 18.9]
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return {"Gamma_Ray": gamma_ray, "Porosity": porosity, "Permeability": permeability}
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def main():
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# Connect to ResInsight
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resinsight = rips.Instance()
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project = resinsight.project
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# Create a well path from coordinates
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coordinates = [
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[458000, 5934000, 1000], # X, Y, Z coordinates
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[458100, 5934100, 1500],
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[458200, 5934200, 2000],
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[458300, 5934300, 2500],
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[458400, 5934400, 3000],
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]
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well_path = project.well_path_collection.import_fixed_trajectory_well_path(
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name="ExampleWell", coordinates=coordinates
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)
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print(f"Created well path: {well_path.name}")
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# Get example well log data
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log_data = create_example_well_log_data()
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# Import each well log channel
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for log_name, values in log_data.items():
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well_log = well_path.add_well_log(name=log_name, values=values)
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print(f"Added well log: {well_log.name} with {len(values)} data points")
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# Verify all logs were added
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well_logs = well_path.well_logs()
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print(f"\\nWell path now has {len(well_logs)} well logs:")
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for log in well_logs:
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print(f" - {log.name}")
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print("\\nWell log import completed successfully!")
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if __name__ == "__main__":
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main()
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import pytest
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import rips
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import os
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@pytest.fixture
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def project(rips_instance):
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"""Create a test project with a well path"""
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# Create well path from coordinates
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coordinates = [
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[1000, 2000, 0],
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[1000, 2000, 1000],
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[1100, 2100, 2000],
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[1200, 2200, 3000],
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]
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well_path = (
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rips_instance.project.well_path_collection().import_well_path_from_points(
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name="TestWell", coordinates=coordinates
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)
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)
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return rips_instance.project, well_path
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def test_add_well_log_basic(project):
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"""Test basic well log import functionality"""
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proj, well_path = project
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# Test data
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name = "TestLog"
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values = [10.5, 20.3, 30.8, 40.2, 15.7]
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# Import well log
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well_log = well_path.add_well_log(name=name, values=values)
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# Verify well log was created
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assert well_log is not None
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assert well_log.name == name
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def test_add_well_log_empty_name(project):
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"""Test that empty name raises ValueError"""
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proj, well_path = project
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values = [1.0, 2.0, 3.0]
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with pytest.raises(ValueError, match="Name cannot be empty"):
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well_path.add_well_log(name="", values=values)
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def test_add_well_log_empty_values(project):
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"""Test that empty values raises ValueError"""
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proj, well_path = project
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with pytest.raises(ValueError, match="Values list cannot be empty"):
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well_path.add_well_log(name="TestLog", values=[])
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def test_add_well_log_invalid_values_type(project):
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"""Test that non-list values raises TypeError"""
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proj, well_path = project
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with pytest.raises(TypeError, match="Values must be a list"):
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well_path.add_well_log(name="TestLog", values="not a list")
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def test_add_well_log_non_numeric_values(project):
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"""Test that non-numeric values raises TypeError"""
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proj, well_path = project
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values = [1.0, "invalid", 3.0]
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with pytest.raises(TypeError, match="All values must be numeric"):
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well_path.add_well_log(name="TestLog", values=values)
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def test_add_well_log_mixed_numeric_types(project):
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"""Test that mixed numeric types work correctly"""
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proj, well_path = project
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# Mix of int, float
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values = [1, 2.5, 3, 4.8, 5]
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well_log = well_path.add_well_log(name="MixedLog", values=values)
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assert well_log is not None
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assert well_log.name == "MixedLog"
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def test_add_multiple_well_logs(project):
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"""Test adding multiple well logs to same well path"""
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proj, well_path = project
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# Add first well log
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log1 = well_path.add_well_log(name="Log1", values=[1.0, 2.0, 3.0])
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# Add second well log
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log2 = well_path.add_well_log(name="Log2", values=[10.0, 20.0, 30.0])
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# Verify both logs exist
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assert log1 is not None
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assert log2 is not None
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assert log1.name == "Log1"
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assert log2.name == "Log2"
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# Both logs were created successfully (verified by assertions above)
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# Note: well_logs() method not currently exposed in Python API
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def test_add_well_log_large_dataset(project):
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"""Test importing large dataset"""
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proj, well_path = project
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# Generate large dataset
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values = [float(i) * 0.1 for i in range(1000)]
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well_log = well_path.add_well_log(name="LargeLog", values=values)
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assert well_log is not None
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assert well_log.name == "LargeLog"
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def test_add_well_log_single_value(project):
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"""Test adding well log with single value"""
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proj, well_path = project
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values = [42.0]
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well_log = well_path.add_well_log(name="SingleValue", values=values)
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assert well_log is not None
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assert well_log.name == "SingleValue"
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def test_add_well_log_special_numeric_values(project):
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"""Test adding well log with special numeric values"""
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proj, well_path = project
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values = [0.0, -5.5, 1e6, 1.23e-4, 99.999]
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well_log = well_path.add_well_log(name="SpecialValues", values=values)
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assert well_log is not None
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assert well_log.name == "SpecialValues"
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@@ -60,3 +60,50 @@ def trajectory_properties(
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return result
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else:
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return {}
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@add_method(WellPath)
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def add_well_log(self: WellPath, name: str, values: List[float]) -> object:
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"""Add imported well log data to well path.
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Arguments:
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name (str): Name of the well log channel.
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values (List[float]): Array of well log values.
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Returns:
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The created well log object.
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"""
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if not name:
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raise ValueError("Name cannot be empty")
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if not values:
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raise ValueError("Values list cannot be empty")
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if not isinstance(values, list):
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raise TypeError("Values must be a list")
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# Validate that all values are numeric
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try:
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float_values = [float(v) for v in values]
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except (ValueError, TypeError) as e:
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raise TypeError("All values must be numeric") from e
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# Generate temporary key for values
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temp_key = f"{uuid.uuid4()}_welllog_values"
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# Store values in key-value store
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project = self.ancestor(Project)
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if not project:
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raise RuntimeError("Could not find project")
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project.set_key_values(temp_key, float_values)
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try:
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# Call the internal GRPC method
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well_log = self.add_well_log_internal(name=name, values_key=temp_key)
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return well_log
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except Exception as e:
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# Clean up key-value store on failure
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project.remove_key_values(temp_key)
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raise RuntimeError(f"Failed to create well log: {str(e)}") from e
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