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CLIP Score: 24.09
from AIDL import *
def city_skyline(building_data=None):
"""
Generate a simplified 2D city skyline with buildings of varying heights.
"""
if building_data is None:
# Example building data with default heights and widths
building_data = [(1*inch, 5*inch), (1.5*inch, 7*inch), (2*inch, 6*inch), (1*inch, 3*inch), (1.2*inch, 8*inch)]
city_skyline = Solid()
# Constraints to keep track of the x-position for each building
current_x = 0
for i, (width, height) in enumerate(building_data):
building_name = f'building_{i}'
building = Solid(shift=(current_x + width/2, 0)) # Centering the building based on width
building.body = Rectangle((0, height/2), width, height)
# Assign the building to the city_skyline structure
setattr(city_skyline, building_name, building)
# Shift the x-position for the next building by the width of the current building
current_x += width
# Align all buildings along the bottom
for i in range(len(building_data)):
building_name = f'building_{i}'
city_skyline.AddConstraint(getattr(city_skyline, building_name).bb.bottom == city_skyline.bb.bottom)
return city_skyline
with AIDL_2D:
model = city_skyline()
print(model.Solve())
model.Render()
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Please write an AIDL program to generate a city skyline
Certainly! Let's create a simplified 2D model of a city skyline using the AIDL language. We will use rectangles to represent buildings of varying heights. Here's a step-by-step approach:
1. **Structure Hierarchy**:
- The root object will be a `Solid` named `city_skyline`.
- Each building will be a `Solid` child of the `city_skyline`.
2. **Constraints**:
- All buildings will be aligned along the bottom.
- We'll space the buildings uniformly along the horizontal axis.
3. **Geometry**:
- Each building will be represented by a `Rectangle`.
Here’s how the AIDL program might look:
```python
from AIDL import *
def city_skyline(building_data=None):
"""
Generate a simplified 2D city skyline with buildings of varying heights.
"""
if building_data is None:
# Example building data with default heights and widths
building_data = [(1*inch, 5*inch), (1.5*inch, 7*inch), (2*inch, 6*inch), (1*inch, 3*inch), (1.2*inch, 8*inch)]
city_skyline = Solid()
# Constraints to keep track of the x-position for each building
current_x = 0
for i, (width, height) in enumerate(building_data):
building = Solid(shift=(current_x, 0))
building.body = Rectangle((0, height/2), width, height)
city_skyline.AddStructure(building)
# Shift the x-position for the next building by the width of the current building
current_x += width
# Align all buildings along the bottom
for building in city_skyline.structures:
city_skyline.AddConstraint(building.bb.bottom == city_skyline.bb.bottom)
return city_skyline
with AIDL_2D:
model = city_skyline()
print(model.Solve())
model.Render()
```
### Explanation:
- **Building Data**: We define a `building_data` parameter that specifies the width and height of each building.
- **City Skyline Structure**: A `Solid` named `city_skyline` is created, which will contain all the buildings.
- **Building Creation**: A loop iterates through the `building_data` and creates a `Solid` for each building, with a `Rectangle` defined by the given width and height. Each building is shifted along the x-axis by the current width to space them uniformly.
- **Bottom Alignment**: Constraints are added to make sure all buildings are aligned along the bottom of the `city_skyline`.
### Running the Program:
The provided script should generate a simple 2D city skyline with buildings of varying heights and uniformly spaced along the x-axis. You can modify the `building_data` to change the number of buildings and their dimensions.
Traceback (most recent call last):
File "/net/projects/ranalab/jz/aidl/AIDL/generation/backend.py", line 21, in dumbrun
exec(code, env)
File "", line 33, in
File "", line 21, in city_skyline
File "/net/projects/ranalab/jz/aidl/AIDL/structure.py", line 1242, in __getattr__
return self.bb.__getattribute__(name)
AttributeError: 'BoundingBox' object has no attribute 'AddStructure'. Did you mean: '_structure'?
I see the issue. Instead of using `AddStructure` (which is not a method in the AIDL), we should directly assign the child structure to a named attribute of the parent structure. I also noticed I should translate `current_x` correctly and handle the alignment nationwide.
Here's the corrected version of the program without the `AddStructure` method:
```python
from AIDL import *
def city_skyline(building_data=None):
"""
Generate a simplified 2D city skyline with buildings of varying heights.
"""
if building_data is None:
# Example building data with default heights and widths
building_data = [(1*inch, 5*inch), (1.5*inch, 7*inch), (2*inch, 6*inch), (1*inch, 3*inch), (1.2*inch, 8*inch)]
city_skyline = Solid()
# Constraints to keep track of the x-position for each building
current_x = 0
for i, (width, height) in enumerate(building_data):
building_name = f'building_{i}'
building = Solid(shift=(current_x + width/2, 0)) # Centering the building based on width
building.body = Rectangle((0, height/2), width, height)
# Assign the building to the city_skyline structure
setattr(city_skyline, building_name, building)
# Shift the x-position for the next building by the width of the current building
current_x += width
# Align all buildings along the bottom
for i in range(len(building_data)):
building_name = f'building_{i}'
city_skyline.AddConstraint(getattr(city_skyline, building_name).bb.bottom == city_skyline.bb.bottom)
return city_skyline
with AIDL_2D:
model = city_skyline()
print(model.Solve())
model.Render()
```
### Explanation of Corrections:
1. **Building Assignment**: Each building is assigned to the `city_skyline` using the `setattr()` function, which dynamically assigns a named attribute.
2. **Building Shift**: Each building is initially centered based on its width by shifting it half of its width along the x-axis.
3. **Bottom Alignment**: The bottom alignment is obtained via dynamic attribute access using `getattr()`.
This should resolve the attribute error and properly generate the city skyline. Please try this revised script, and let me know if it works as expected.
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