The user is asking for the inverse of a matrix. Since they want the result, I will compute it and present it as a matrix in Markdown. I’ll use Python for the calculation but won’t include any code in the final answer. It’s best to show the resulting matrix in Markdown so the user sees only the output, as requested. I’ll use Python to compute it and then provide the result without extra code.
An open-source toolkit for developing digital platforms in the built environment. With IfcOpenShell, you can read, write, and modify Building Information Models (BIM) using the IFC standard — a versatile and open digital language spanning the entire lifecycle of buildings, from design to construction and beyond.
Now including Bonsai, a Blender-based 3D editor to create and edit multidisciplinary information within IFC models.
The built environment is a major contributor to emissions, making sustainability in design, construction, and operations an area we can work on with data-driven decisions unlocked by open source tools.
CAD/BIM has long faced lock-in by the proprietary nature of traditional tools. We aim to change that.
C++ / Python / 3D / Computational geometry / CAD / BIM
It does, when you save. Under export, there is also a "Plain SVG" option which excludes the xmlns:inkscape and xmlns:sodipodi namespaces and therefore eliminates quite a bit.
Let me try to explain it in a way that the acronym does make sense. For ages people have exchanged information about buildings in 2d and non-semantic line drawings with only an implicit symbolic meaning.
In BIM, a building (or any construction work really, bridges/tunnels/...) is described as a set of components with explicit information (the I), for example: this is a wall with fire rating XYZ. The geometry/representation is only one aspect of that wall. This information is exchanged using actual data models (the M) - hopefully using IFC (another acronym, less meaningful this time), which is the open and vendor neutral standard to encode such building models.
There's a lot of disciplines (architects, structural engineers, heating and ventilation, city planners and municipalities, planners, builders, owners, tenants). Also, building have a long lifetime, that extends way beyond the typical maintenance period of proprietary software. And the sector has a massive impact on our well being as well as environmental goals.
Encoding this information in a semantic and computer-interpretable has enabled better ways of working together, but there's still much potential and many interesting challenges (come join us!) ahead of us to make a better built environment a reality!
E.g just now I ran:
~~~
What's the inverse of this matrix?
[[0.0759688880587972, 0.3299493758880664, 0.14599823333009276, 0.09897577338235164], [0.7478951343477207, 0.9006422280032432, 0.3137352150172843, 0.5974301357799204], [0.5568700534103693, 0.648666832906366, 0.5280912469659284, 0.5753861797637815], [0.7905984807343551, 0.053757547259005944, 0.9632727273522135, 0.44727851917969785]]
~~~
Reasoning output:
~~~
The user is asking for the inverse of a matrix. Since they want the result, I will compute it and present it as a matrix in Markdown. I’ll use Python for the calculation but won’t include any code in the final answer. It’s best to show the resulting matrix in Markdown so the user sees only the output, as requested. I’ll use Python to compute it and then provide the result without extra code.
import sympy as sp import numpy as np
# define the matrix M = np.array([ [0.0759688880587972, 0.3299493758880664, 0.14599823333009276, 0.09897577338235164], [0.7478951343477207, 0.9006422280032432, 0.3137352150172843, 0.5974301357799204], [0.5568700534103693, 0.648666832906366, 0.5280912469659284, 0.5753861797637815], [0.7905984807343551, 0.053757547259005944, 0.9632727273522135, 0.44727851917969785] ], dtype=float)
# calculate inverse invM = np.linalg.inv(M)
invM
~~~
And then I get a nicely formatted latex matrix as the final outcome.
(edit: that's 04-mini-high)