No flags found
Use flags to group coverage reports by test type, project and/or folders.
Then setup custom commit statuses and notifications for each flag.
e.g., #unittest #integration
#production #enterprise
#frontend #backend
899bb44
... +0 ...
a8ebffd
Use flags to group coverage reports by test type, project and/or folders.
Then setup custom commit statuses and notifications for each flag.
e.g., #unittest #integration
#production #enterprise
#frontend #backend
340 | 340 | v_gas_to = v_mps * normfactor_to |
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341 | 341 | ||
342 | 342 | _, nf_from_sum, nf_to_sum = _sum_by_group(idx_active, normfactor_from, normfactor_to) |
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343 | + | _, v_gas_from, v_gas_to = _sum_by_group(idx_active, v_gas_from, v_gas_to) |
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343 | 344 | ||
344 | - | v_gas_from_ordered = select_from_pit(from_nodes, from_junction_nodes, v_gas_from) |
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345 | - | v_gas_to_ordered = select_from_pit(to_nodes, to_junction_nodes, v_gas_to) |
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345 | + | res_table["v_from_m_per_s"].values[placement_table] = v_gas_from # v_gas_from_ordered |
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346 | + | res_table["v_to_m_per_s"].values[placement_table] = v_gas_to # v_gas_to_ordered |
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346 | 347 | ||
347 | - | res_table["v_from_m_per_s"].values[placement_table] = v_gas_from_ordered |
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348 | - | res_table["v_to_m_per_s"].values[placement_table] = v_gas_to_ordered |
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349 | 348 | res_table["normfactor_from"].values[placement_table] = nf_from_sum / internal_pipes |
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350 | 349 | res_table["normfactor_to"].values[placement_table] = nf_to_sum / internal_pipes |
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351 | 350 |
Files | Coverage |
---|---|
abstract_models | -0.01% 93.26% |
auxiliaries | 94.79% |
__init__.py | 100.00% |
circulation_pump_mass_component.py | 100.00% |
circulation_pump_pressure_component.py | 100.00% |
compressor_component.py | 100.00% |
ext_grid_component.py | 100.00% |
heat_exchanger_component.py | 97.83% |
junction_component.py | 95.00% |
pipe_component.py | 83.33% |
pressure_control_component.py | 95.52% |
pump_component.py | 98.78% |
sink_component.py | 100.00% |
source_component.py | 100.00% |
valve_component.py | 100.00% |
Folder Totals (15 files) | 94.12% |
Project Totals (77 files) | 89.10% |
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