forked from s_ranjbar/city_retrofit
fixed some bug in the meb exporter as well as in the calculation of the overall U value of walls
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553257c720
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4a1f5099a3
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@ -116,7 +116,7 @@ class NrelCatalog(Catalog):
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climate_zone = archetype['@climate_zone']
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construction_period = reference_standard_to_construction_period[archetype['@reference_standard']]
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average_storey_height = archetype['average_storey_height']['#text']
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thermal_capacity = archetype['thermal_capacity']['#text']
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thermal_capacity = str(float(archetype['thermal_capacity']['#text']) * 1000)
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extra_loses_due_to_thermal_bridges = archetype['extra_loses_due_to_thermal_bridges']['#text']
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indirect_heated_ratio = archetype['indirect_heated_ratio']['#text']
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infiltration_rate_for_ventilation_system_off = archetype['infiltration_rate_for_ventilation_system_off']['#text']
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@ -223,7 +223,7 @@ class ThermalBoundary:
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if layer.material.no_mass:
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r_value += float(layer.material.thermal_resistance)
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else:
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r_value = r_value + float(layer.material.conductivity) / float(layer.thickness)
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r_value += float(layer.thickness) / float(layer.material.conductivity)
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self._u_value = 1.0/r_value
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except TypeError:
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raise Exception('Constructions layers are not initialized') from TypeError
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@ -76,7 +76,7 @@ class ThermalOpening:
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if self._overall_u_value is None and self.thickness is not None:
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h_i = self.hi
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h_e = self.he
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r_value = 1 / h_i + 1 / h_e + float(self._conductivity) / float(self.thickness)
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r_value = 1 / h_i + 1 / h_e + float(self.thickness) / float(self._conductivity)
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self._overall_u_value = 1 / r_value
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@property
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@ -134,7 +134,7 @@ class ThermalOpening:
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if self._overall_u_value is None and self.conductivity is not None:
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h_i = self.hi
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h_e = self.he
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r_value = 1 / h_i + 1 / h_e + float(self.conductivity) / float(self._thickness)
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r_value = 1 / h_i + 1 / h_e + float(self._thickness) / float(self.conductivity)
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self._overall_u_value = 1 / r_value
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@property
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@ -1,3 +1,10 @@
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"""
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InselMonthlyEnergyBalance exports models to insel format
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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import numpy as np
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from pathlib import Path
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@ -53,8 +60,8 @@ class InselMonthlyEnergyBalance(Insel):
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inputs.append(f"{str(100 + i)}.1 % Radiation surface {str(i)}")
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# BUILDING PARAMETERS
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parameters = [f'{0.85 * building.volume} % BP(1) Heated Volume (vBrutto)',
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f'{building.average_storey_height} % BP(2) Average storey height / m',
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parameters = [f'{0.85 * building.volume} % BP(1) Heated Volume (m3)',
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f'{building.average_storey_height} % BP(2) Average storey height (m)',
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f'{building.storeys_above_ground} % BP(3) Number of storeys above ground',
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f'{building.attic_heated} % BP(4) Attic heating type (0=no room, 1=unheated, 2=heated)',
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f'{building.basement_heated} % BP(5) Cellar heating type (0=no room, 1=unheated, 2=heated, '
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@ -64,40 +71,40 @@ class InselMonthlyEnergyBalance(Insel):
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internal_zone = building.internal_zones[0]
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thermal_zone = internal_zone.thermal_zones[0]
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parameters.append(f'{thermal_zone.indirectly_heated_area_ratio} % BP(6) Indirectly heated area ratio')
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parameters.append(f'{thermal_zone.effective_thermal_capacity} % BP(7) Effective heat capacity')
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parameters.append(f'{thermal_zone.additional_thermal_bridge_u_value * thermal_zone.total_floor_area} '
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f'% BP(8) Additional U-value for heat bridge')
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parameters.append('0 % BP(9) Usage type (0=standard, 1=IWU)')
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parameters.append(f'{thermal_zone.effective_thermal_capacity / 1000} % BP(7) Effective heat capacity (kJ/m2K)')
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parameters.append(f'{thermal_zone.additional_thermal_bridge_u_value} '
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f'% BP(8) Additional U-value for heat bridge W/m2K')
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parameters.append('1 % BP(9) Usage type (0=standard, 1=IWU)')
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# ZONES AND SURFACES
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parameters.append(f'{len(internal_zone.usage_zones)} % BP(10) Number $z$ of zones')
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parameters.append(f'{len(internal_zone.usage_zones)} % BP(10) Number of zones')
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for i, usage_zone in enumerate(internal_zone.usage_zones):
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percentage_usage = usage_zone.percentage
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parameters.append(f'{float(internal_zone.area) * percentage_usage} % BP(11) #1 Area of zone {i + 1} (sqm)')
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parameters.append(f'{float(internal_zone.area) * percentage_usage} % BP(11) #1 Area of zone {i + 1} (m2)')
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total_internal_gain = 0
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for ig in usage_zone.internal_gains:
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total_internal_gain += float(ig.average_internal_gain) * \
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(float(ig.convective_fraction) + float(ig.radiative_fraction))
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parameters.append(f'{total_internal_gain} % BP(12) #2 Internal gains of zone {i + 1}')
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parameters.append(f'{usage_zone.thermal_control.mean_heating_set_point} % BP(13) #3 Heating setpoint temperature '
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f'zone {i + 1} (tSetHeat)')
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f'zone {i + 1} (degree Celsius)')
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parameters.append(f'{usage_zone.thermal_control.heating_set_back} % BP(14) #4 Heating setback temperature '
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f'zone {i + 1} (tSetbackHeat)')
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f'zone {i + 1} (degree Celsius)')
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parameters.append(f'{usage_zone.thermal_control.mean_cooling_set_point} % BP(15) #5 Cooling setpoint temperature '
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f'zone {i + 1} (tSetCool)')
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f'zone {i + 1} (degree Celsius)')
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parameters.append(f'{usage_zone.hours_day} % BP(16) #6 Usage hours per day zone {i + 1}')
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parameters.append(f'{usage_zone.days_year} % BP(17) #7 Usage days per year zone {i + 1}')
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parameters.append(f'{usage_zone.mechanical_air_change} % BP(18) #8 Minimum air change rate zone {i + 1} (h^-1)')
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parameters.append(f'{usage_zone.mechanical_air_change} % BP(18) #8 Minimum air change rate zone {i + 1} (ACH)')
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parameters.append(f'{len(thermal_zone.thermal_boundaries)} % Number of surfaces = BP(11+8z) \n'
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f'% 1. Surface type (1=wall, 2=ground 3=roof, 4=flat roof)\n'
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f'% 2. Areas above ground\n'
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f'% 3. Areas below ground\n'
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f'% 4. U-value\n'
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f'% 5. Window area\n'
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f'% 2. Areas above ground (m2)\n'
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f'% 3. Areas below ground (m2)\n'
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f'% 4. U-value (W/m2K)\n'
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f'% 5. Window area (m2)\n'
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f'% 6. Window frame fraction\n'
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f'% 7. Window U-value\n'
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f'% 7. Window U-value (W/m2K)\n'
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f'% 8. Window g-value\n'
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f'% 9. Short-wave reflectance\n'
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f'% #1 #2 #3 #4 #5 #6 #7 #8 #9\n')
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@ -107,10 +114,14 @@ class InselMonthlyEnergyBalance(Insel):
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window_area = thermal_boundary.opaque_area * thermal_boundary.window_ratio / (1 - thermal_boundary.window_ratio)
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parameters.append(type_code)
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parameters.append(0.85 * thermal_boundary.opaque_area)
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parameters.append('0.0')
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if thermal_boundary.type != cte.GROUND:
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parameters.append(thermal_boundary.opaque_area + window_area)
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parameters.append('0.0')
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else:
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parameters.append('0.0')
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parameters.append(thermal_boundary.opaque_area + window_area)
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parameters.append(thermal_boundary.u_value)
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parameters.append(0.85 * window_area)
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parameters.append(window_area)
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if window_area <= 0.001:
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parameters.append(0.0)
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@ -130,7 +141,7 @@ class InselMonthlyEnergyBalance(Insel):
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i_block = 20
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inputs = ['1']
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parameters = ['12 % Monthly ambient temperature']
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parameters = ['12 % Monthly ambient temperature (degree Celsius)']
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external_temperature = building.external_temperature[cte.MONTH]
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@ -151,9 +162,9 @@ class InselMonthlyEnergyBalance(Insel):
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for i, surface in enumerate(surfaces):
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i_block = 101 + i
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inputs = ['1 % Monthly surface radiation (W/sqm)']
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inputs = ['1 % Monthly surface radiation (W/m2)']
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parameters = [f'12 % Azimuth {np.rad2deg(surface.azimuth)}, '
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f'inclination {np.rad2deg(surface.inclination)} degrees']
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f'inclination {np.rad2deg(surface.inclination)} (degrees)']
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if surface.type != 'Ground':
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global_irradiance = surface.global_irradiance[cte.MONTH]
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@ -42,8 +42,8 @@ class ComnetUsageParameters:
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"""
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number_usage_types = 33
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xl_file = pd.ExcelFile(self._base_path)
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file_data = pd.read_excel(xl_file, sheet_name="Modeling Data", skiprows=[0, 1, 2],
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nrows=number_usage_types, usecols="A:AB")
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file_data = pd.read_excel(xl_file, sheet_name="Modeling Data", usecols="A:AB", skiprows=[0, 1, 2],
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nrows=number_usage_types)
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lighting_data = {}
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plug_loads_data = {}
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@ -109,8 +109,8 @@ class ComnetUsageParameters:
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schedules_usage = UsageHelper.schedules_key(data['schedules_key'][comnet_usage][0])
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_extracted_data = pd.read_excel(schedules_data, sheet_name=schedules_usage,
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skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA")
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_extracted_data = pd.read_excel(schedules_data, sheet_name=schedules_usage, usecols="A:AA", skiprows=[0, 1, 2, 3],
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nrows=39)
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schedules = []
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number_of_schedule_types = 13
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schedules_per_schedule_type = 3
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