How to use pick_attributes method in localstack

Best Python code snippet using localstack_python

test_dict_utils.py

Source:test_dict_utils.py Github

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...62 mutable_dictionary, ["$", "level_one_1", "level_two_2"], "level_two_2_value"63 )64 set_safe_mutable(mutable_dictionary, "$.level_one_2", "level_one_2_value")65 self.assertEqual(expected_dictionary, mutable_dictionary)66 def test_pick_attributes(self):67 dictionary = {68 "level_one_1": {69 "level_two_1": {"level_three_1": "level_three_1_value"},70 "level_two_2": "level_two_2_value",71 },72 "level_one_2": "level_one_2_value",73 }74 whitelisted_dictionary = pick_attributes(75 dictionary,76 [77 "$.level_one_1.level_two_1.level_three_1",78 ["$", "level_one_2"],79 "$.random.attribute",80 ],81 )82 expected_whitelisted_dictionary = {83 "level_one_1": {84 "level_two_1": {"level_three_1": "level_three_1_value"},85 },86 "level_one_2": "level_one_2_value",87 }88 self.assertEqual(expected_whitelisted_dictionary, whitelisted_dictionary)

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extract_well_picks_from_rms.py

Source:extract_well_picks_from_rms.py Github

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1from typing import Optional, List2from enum import Enum3import pandas as pd4import roxar5class WellAttributes(str, Enum):6 """Naming of attributes table/rms"""7 X_UTME = "East"8 Y_UTMN = "North"9 Z_TVDSS = "TVD_MSL"10 MD = "MD"11def horizon_well_picks_to_dataframe(12 project, well_pick_set_name: str, horizon_names_filter: Optional[List[str]] = None13) -> pd.DataFrame:14 well_pick_set = project.well_picks.sets[well_pick_set_name]15 horizon_pick_indexes = []16 horizon_picks = []17 for idx, well_picks in enumerate(well_pick_set):18 horizon_name = well_picks.intersection_object.name19 if well_picks.type == roxar.WellPickType.horizon:20 if horizon_names_filter is not None:21 if horizon_name in horizon_names_filter:22 horizon_pick_indexes.append(idx)23 else:24 horizon_pick_indexes.append(idx)25 for idx in horizon_pick_indexes:26 pick = well_pick_set[idx]27 well_name = traj_name = horizon_name = ""28 if pick.trajectory:29 well_name = pick.trajectory.wellbore.well.name30 traj_name = pick.trajectory.name31 if pick.intersection_object:32 horizon_name = pick.intersection_object.name33 pick_attributes = {34 attr.name: pick.get_values()[attr.value] for attr in WellAttributes35 }36 pick_attributes.update(37 {38 "WELL": well_name,39 "HORIZON": horizon_name,40 }41 )42 horizon_picks.append(pick_attributes)43 return pd.DataFrame(horizon_picks)44well_pick_set = "set1"45dframe = horizon_well_picks_to_dataframe(project, "set1")...

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