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earth_climate_preview.png ADDED

Git LFS Details

  • SHA256: 64d3ccae16be89b68c9aa28115f9e571d0e27a36f52bba98a5511e1fb77047dc
  • Pointer size: 132 Bytes
  • Size of remote file: 2.06 MB
earth_data_api.py ADDED
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+ """Small API for the processed earth_data_pack.h5 file."""
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+ from __future__ import annotations
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+
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+ from pathlib import Path
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+ import h5py
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+ import numpy as np
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+
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+
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+ class EarthDataPack:
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+ def __init__(self, path: str | Path):
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+ self.path = Path(path)
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+ self.h5 = h5py.File(self.path, "r")
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+ self.aligned = self.h5["aligned"]
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+
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+ def close(self) -> None:
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+ self.h5.close()
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+
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+ def __enter__(self):
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+ return self
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+
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+ def __exit__(self, exc_type, exc, tb):
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+ self.close()
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+
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+ @property
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+ def shape(self) -> tuple[int, int]:
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+ return tuple(self.aligned["elevation_m"].shape)
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+
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+ def field(self, name: str, rows=slice(None), cols=slice(None)) -> np.ndarray:
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+ return self.aligned[name][rows, cols]
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+
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+ def conditioning(self, rows=slice(None), cols=slice(None)) -> np.ndarray:
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+ elevation = self.field("elevation_m", rows, cols).astype(np.float32)
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+ temperature = self.field("temperature_mean_c", rows, cols).astype(np.float32)
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+ seasonality = self.field("temperature_seasonality_c", rows, cols).astype(np.float32) * 100.0
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+ precipitation = self.field("precipitation_mm_year", rows, cols).astype(np.float32)
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+ precipitation_cv = self.field("precipitation_cv_percent", rows, cols).astype(np.float32)
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+ elevation_signed_sqrt = np.sign(elevation) * np.sqrt(np.abs(elevation))
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+ return np.stack([
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+ elevation_signed_sqrt,
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+ temperature,
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+ seasonality,
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+ precipitation,
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+ precipitation_cv,
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+ ], axis=0)
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+
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+ def world_xy_to_pixel(self, x_km: float, y_km: float) -> tuple[int, int]:
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+ height, width = self.shape
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+ col = int(np.floor((x_km % float(self.h5.attrs["canvas_width_km"])) / float(self.h5.attrs["pixel_km_x"]))) % width
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+ row = int(np.clip(np.floor(y_km / float(self.h5.attrs["pixel_km_y"])), 0, height - 1))
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+ return row, col
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+
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+ def patch(self, center_x_km: float, center_y_km: float, width_cells: int, height_cells: int) -> dict[str, np.ndarray]:
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+ height, width = self.shape
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+ center_row, center_col = self.world_xy_to_pixel(center_x_km, center_y_km)
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+ rows = np.clip(np.arange(center_row - height_cells // 2, center_row - height_cells // 2 + height_cells), 0, height - 1)
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+ cols = np.arange(center_col - width_cells // 2, center_col - width_cells // 2 + width_cells) % width
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+ result = {}
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+ row_start = int(rows.min())
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+ row_end = int(rows.max()) + 1
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+ local_rows = rows - row_start
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+ for name in self.aligned:
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+ strip = self.aligned[name][row_start:row_end, :]
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+ result[name] = strip[local_rows][:, cols]
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+ return result
earth_data_processed_pack.tar.zst ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:746d91ec1d5c7ea1fdde0390bb7f8f4a016228c96f955b40ea445e4b0926417c
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+ size 392015506
earth_structure_preview.png ADDED

Git LFS Details

  • SHA256: 6c77822d69a69119e0c0dc2b888a9dc24f3b93130aaedce943d43fba0db997c3
  • Pointer size: 133 Bytes
  • Size of remote file: 11.8 MB
manifest.json ADDED
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+ {
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+ "status": "PASS",
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+ "project_version": "1.0.0",
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+ "width": 5184,
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+ "height": 2592,
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+ "projection": "flat_rectangular_equirectangular_canvas",
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+ "full_hydro": true,
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+ "pack": {
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+ "path": "/content/earth_data_project_run/output/earth_data_pack.h5",
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+ "sha256": "b6737caad62b89a629cf246d8fa661805d713310ef439c318fb63dab070fbd50"
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+ },
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+ "path": "/content/earth_data_project_run/output/earth_guided_remix_prior_seed_204149.npy",
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+ "sha256": "6dc77abbec695938aba5a4bfd69e716cc66057bc0bb87af11d0087b55b169be5",
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+ "seed": 204149,
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+ "earth_strength": 0.7
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+ },
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+ "outputs": [
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+ "output/ATTRIBUTION.md",
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+ "output/earth_climate_preview.png",
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+ "output/earth_data_api.py",
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+ "output/earth_data_pack.h5",
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+ "output/earth_guided_remix_prior_seed_204149.npy",
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+ "output/earth_structure_preview.png"
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+ ],
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+ "license": "CC0-1.0 / U.S. government public-domain dedication",
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+ "citation": "NOAA National Centers for Environmental Information. 2022: ETOPO 2022 Global Relief Model. DOI 10.25921/fd45-gt74.",
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