mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
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kuhy overruled the "do not fix coursework to be better than it was submitted" rule: git history is the archive, so the working tree can be clean. This lands the config and the mechanical half of the cleanup -- 9,281 ruff findings under the fleet config down to 3,686, with no per-file-ignores anywhere. What is in here: - pyproject.toml, the first one in this repo. select = ["ALL"], mypy strict, and the vendored list mirrored into ruff exclude and coverage omit. Five rules are off and each says why; CPY001 is the only judgement call, because stamping a copyright header onto 137 university assignments would assert a licence that was never claimed. No hook is wired up yet -- a gate lands only once its subject is clean. - ruff format + the safe fixes, then a second pass over the docstring rules ruff marks unsafe (they only edit docstring text). 108 files. - TRAK/sightpy is vendored, not coursework: it is rafael-fuente/Python-Raytracer (BSD 3-Clause). Verified against a fresh upstream clone with line endings normalised -- 30 of 32 files byte-identical, ray.py and scene.py carrying a 12- and 13-line local patch that counts rays for the report. 35 files that should never have been linted, now excluded and restored. - WDWR, SPD, MOM and ECRYPT are fully clean, by hand and verified by running them: WDWR's three plot scripts print the same statistics as before, MOM's PuLP model solves to the same cost. WDWR's graph.py had a 342-character CSV header embedded as a string literal, which cannot be wrapped -- the data moved to data/pareto_front.csv. Two 0-byte .py stubs are deleted; an empty file is not a deliverable and git still has it. Three harness bugs found by actually running things: - `run` now forces MPLBACKEND=Agg. TRAK finished its ray trace in 37 seconds and then sat for 45 minutes: plt.show() had opened an image viewer and was waiting for someone to close the window. - TRAK's main.py only pops that viewer with --show now, and its runner writes to a gitignored build/ via the new --entry-args. The default output path is outputs/output.png, which is TRACKED -- a plain run overwrote a submitted deliverable. - course_lib.sh was 357 lines, over this repo's own cap. Split into course_probe.sh and course_run.sh. Verified: ECOTE 26 tests pass, ECRYPT_PROJECT 99 pass, TRAK renders cornell_box in 37s and exits 0, every module compiles, and every import ruff removed was checked to be genuinely unused. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
194 lines
5.5 KiB
Python
194 lines
5.5 KiB
Python
import os
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import Imath
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import OpenEXR
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import OpenGL.GL as gl
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import OpenGL.GLU as glu
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import OpenGL.GLUT as glut
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# Camera parameters
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camera_angle_x = 0.0
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camera_angle_y = 0.0
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camera_distance = 2.0
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mouse_last_x = 0
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mouse_last_y = 0
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mouse_left_down = False
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def load_hdr_environment_map(filepath):
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"""Load an HDR environment map from an OpenEXR file.
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Args:
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filepath (str): Path to the HDR file.
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Returns:
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tuple: A tuple containing the width, height, and a bytes object representing the HDR environment map in RGB format.
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"""
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if not os.path.exists(filepath):
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raise FileNotFoundError(f"File not found: {filepath}")
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# Check file permissions
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if not os.access(filepath, os.R_OK):
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raise PermissionError(f"File is not readable: {filepath}")
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# Open the EXR file
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try:
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exr_file = OpenEXR.InputFile(filepath)
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except Exception as e:
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raise OSError(f"Unable to open '{filepath}' for read: {e!s}")
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# Get the image dimensions
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header = exr_file.header()
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dw = header["dataWindow"]
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width = dw.max.x - dw.min.x + 1
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height = dw.max.y - dw.min.y + 1
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# Define the channel names (R, G, B)
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channels = ["R", "G", "B"]
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# Read the channel data
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channel_data = {
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channel: exr_file.channel(channel, Imath.PixelType(Imath.PixelType.FLOAT))
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for channel in channels
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}
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# Combine channel data into a single bytes object
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hdr_image = bytearray(width * height * 3 * 4) # 3 channels, 4 bytes per float
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for i, channel in enumerate(channels):
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channel_buffer = channel_data[channel]
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for j in range(height):
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for k in range(width):
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index = (j * width + k) * 3 * 4 + i * 4
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hdr_image[index : index + 4] = channel_buffer[
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(j * width + k) * 4 : (j * width + k + 1) * 4
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]
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# Flip the image vertically
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flipped_hdr_image = bytearray(width * height * 3 * 4)
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row_size = width * 3 * 4
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for j in range(height):
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src_index = j * row_size
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dst_index = (height - 1 - j) * row_size
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flipped_hdr_image[dst_index : dst_index + row_size] = hdr_image[
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src_index : src_index + row_size
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]
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return width, height, bytes(flipped_hdr_image)
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def display_hdr_image(width, height, hdr_image):
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gl.glClear(gl.GL_COLOR_BUFFER_BIT | gl.GL_DEPTH_BUFFER_BIT)
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# Enable texture mapping
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gl.glEnable(gl.GL_TEXTURE_2D)
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texture_id = gl.glGenTextures(1)
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gl.glBindTexture(gl.GL_TEXTURE_2D, texture_id)
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# Set texture parameters
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gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_S, gl.GL_CLAMP_TO_EDGE)
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gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_T, gl.GL_CLAMP_TO_EDGE)
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gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MIN_FILTER, gl.GL_LINEAR)
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gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MAG_FILTER, gl.GL_LINEAR)
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# Load the texture
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gl.glTexImage2D(
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gl.GL_TEXTURE_2D,
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0,
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gl.GL_RGB32F,
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width,
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height,
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0,
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gl.GL_RGB,
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gl.GL_FLOAT,
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hdr_image,
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)
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# Set up the viewport and projection
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gl.glViewport(
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0,
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0,
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glut.glutGet(glut.GLUT_WINDOW_WIDTH),
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glut.glutGet(glut.GLUT_WINDOW_HEIGHT),
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)
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gl.glMatrixMode(gl.GL_PROJECTION)
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gl.glLoadIdentity()
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glu.gluPerspective(
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45.0,
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glut.glutGet(glut.GLUT_WINDOW_WIDTH)
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/ float(glut.glutGet(glut.GLUT_WINDOW_HEIGHT)),
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0.1,
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100.0,
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)
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gl.glMatrixMode(gl.GL_MODELVIEW)
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gl.glLoadIdentity()
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# Apply camera transformations
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gl.glTranslatef(0.0, 0.0, -camera_distance)
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gl.glRotatef(camera_angle_y, 1.0, 0.0, 0.0)
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gl.glRotatef(camera_angle_x, 0.0, 1.0, 0.0)
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# Draw a textured sphere to simulate being inside the HDR environment
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quadric = glu.gluNewQuadric()
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glu.gluQuadricTexture(quadric, gl.GL_TRUE)
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glu.gluSphere(quadric, 50.0, 50, 50)
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glu.gluDeleteQuadric(quadric)
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# Disable texture mapping
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gl.glDisable(gl.GL_TEXTURE_2D)
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glut.glutSwapBuffers()
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def mouse_motion(x, y):
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global mouse_last_x, mouse_last_y, camera_angle_x, camera_angle_y
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if mouse_left_down:
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dx = x - mouse_last_x
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dy = y - mouse_last_y
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camera_angle_x += dx * 0.1
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camera_angle_y += dy * 0.1
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mouse_last_x = x
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mouse_last_y = y
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glut.glutPostRedisplay()
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def mouse_button(button, state, x, y):
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global mouse_left_down
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if button == glut.GLUT_LEFT_BUTTON:
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if state == glut.GLUT_DOWN:
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mouse_left_down = True
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mouse_last_x = x
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mouse_last_y = y
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elif state == glut.GLUT_UP:
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mouse_left_down = False
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def main(filepath):
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try:
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width, height, hdr_map = load_hdr_environment_map(filepath)
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print("HDR Map Loaded. Dimensions:", width, "x", height)
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# Initialize GLUT and create window
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glut.glutInit()
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glut.glutInitDisplayMode(glut.GLUT_DOUBLE | glut.GLUT_RGB | glut.GLUT_DEPTH)
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glut.glutInitWindowSize(800, 600) # Set initial window size
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glut.glutCreateWindow(b"HDR Environment Map")
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# Set display callback
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glut.glutDisplayFunc(lambda: display_hdr_image(width, height, hdr_map))
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# Set mouse callbacks
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glut.glutMotionFunc(mouse_motion)
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glut.glutMouseFunc(mouse_button)
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# Start the GLUT main loop
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glut.glutMainLoop()
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except Exception as e:
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print(e)
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# Example usage
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if __name__ == "__main__":
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filepath = "lilienstein_4k.exr"
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main(filepath)
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