{"id":"v001","input":{"interval":"1.234 m","zenith":"88.5 deg","instrument_height":"1.5 m","rod_reading":"1.6 m"},"expect":{"result.horizontal_distance.value":123.3154422943572,"result.vertical_difference.value":3.229128500189633,"result.elevation_difference.value":3.129128500189633,"ok":true},"source":"Surveying formulas (Ghilani & Wolf 2018) evaluated in Python (tools/vectors/gen_survey.py)","sourceVersion":"15th edition (2018)","tolerance":{"result.horizontal_distance.value":{"rel":1e-12,"abs":1e-09},"result.vertical_difference.value":{"rel":1e-12,"abs":1e-09},"result.elevation_difference.value":{"rel":1e-12,"abs":1e-09}}}
{"id":"v002","input":{"interval":"0.875 m","zenith":"91.25 deg","instrument_height":"1.45 m","rod_reading":"2.1 m"},"expect":{"result.horizontal_distance.value":87.45835969420628,"result.vertical_difference.value":-1.9083481972334424,"result.elevation_difference.value":-2.5583481972334425,"ok":true},"source":"Surveying formulas (Ghilani & Wolf 2018) evaluated in Python (tools/vectors/gen_survey.py)","sourceVersion":"15th edition (2018)","tolerance":{"result.horizontal_distance.value":{"rel":1e-12,"abs":1e-09},"result.vertical_difference.value":{"rel":1e-12,"abs":1e-09},"result.elevation_difference.value":{"rel":1e-12,"abs":1e-09}}}
{"id":"v003","input":{"interval":"3.5 ft","zenith":"90.0 deg","instrument_height":"5.0 ft","rod_reading":"5.0 ft"},"expect":{"result.horizontal_distance.value":350.0,"result.vertical_difference.value":2.1431318985078682e-14,"result.elevation_difference.value":2.1316282072803006e-14,"ok":true},"source":"Surveying formulas (Ghilani & Wolf 2018) evaluated in Python (tools/vectors/gen_survey.py)","sourceVersion":"15th edition (2018)","tolerance":{"result.horizontal_distance.value":{"rel":1e-12,"abs":1e-09},"result.vertical_difference.value":{"rel":1e-12,"abs":1e-09},"result.elevation_difference.value":{"rel":1e-12,"abs":1e-09}}}
{"id":"v004","input":{"interval":"2.1 m","zenith":"80.0 deg"},"expect":{"result.horizontal_distance.value":203.66772518252037,"result.vertical_difference.value":35.91211504919523,"ok":true},"source":"Surveying formulas (Ghilani & Wolf 2018) evaluated in Python (tools/vectors/gen_survey.py)","sourceVersion":"15th edition (2018)","tolerance":{"result.horizontal_distance.value":{"rel":1e-12,"abs":1e-09},"result.vertical_difference.value":{"rel":1e-12,"abs":1e-09}}}
{"id":"v005","input":{"interval":"1.0 m","zenith":"95.5 deg","instrument_height":"1.55 m","rod_reading":"0.9 m"},"expect":{"result.horizontal_distance.value":99.08135917238322,"result.vertical_difference.value":-9.540449768827237,"result.elevation_difference.value":-8.890449768827237,"ok":true},"source":"Surveying formulas (Ghilani & Wolf 2018) evaluated in Python (tools/vectors/gen_survey.py)","sourceVersion":"15th edition (2018)","tolerance":{"result.horizontal_distance.value":{"rel":1e-12,"abs":1e-09},"result.vertical_difference.value":{"rel":1e-12,"abs":1e-09},"result.elevation_difference.value":{"rel":1e-12,"abs":1e-09}}}
{"id":"v006","input":{"interval":"1.5 m","vertical_angle":"3 deg","stadia_constant":100,"additive_constant":"0.3 m"},"expect":{"result.horizontal_distance.value":149.88873101304685,"result.vertical_difference.value":7.855335531946913,"ok":true},"source":"Surveying formulas (Ghilani & Wolf 2018) evaluated in Python (tools/vectors/gen_survey.py)","sourceVersion":"15th edition (2018)","tolerance":{"result.horizontal_distance.value":{"rel":1e-12,"abs":1e-09},"result.vertical_difference.value":{"rel":1e-12,"abs":1e-09}}}