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local id = 'USGS/NLCD_RELEASES/2019_REL/NALCMS';
local subdir = 'USGS';
local version = '1';

local ee_const = import 'earthengine_const.libsonnet';
local ee = import 'earthengine.libsonnet';
local spdx = import 'spdx.libsonnet';
local units = import 'units.libsonnet';

local license = spdx.cc0_1_0;

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// SPDX-License-Identifier: Apache-2.0
// Copyright 2023 Google Inc. All Rights Reserved.

// Created by Dan Pencoske

local unit_obj = {
  label: error 'provide a label',
  pow(exp): '%s^%d' % [self.label, exp],
  per(denom): '%s / %s' % [
    self.label,

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// SPDX-License-Identifier: Apache-2.0
// Copyright 2023 Google Inc. All Rights Reserved.

/*

https://www.shrubbery.net/solaris9ab/SUNWdev/SOL64TRANS/p16.html

_LP64

The _LP64 feature test macro is used to specify the LP64 data model where ints

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#!/usr/bin/env python3

"""Exploring python enum."""

import enum
# from typing import Sequence

class Simple(enum.Enum):
  A = 'a'
  B = 'b'

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16_day
30_year
3_hourly
3dep
4_day
8_day
aafc
aai
abi
aboveground

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# SPDX-License-Identifier: Apache-2.0
# Copyright 2009 Google Inc. All Rights Reserved.
#
# Description:
#   NCSA Hierarchical Data Format library

hdf4_copts = [
    "-fomit-frame-pointer",
    "-DHAVE_CONFIG_H",
    "-DBIG_LONGS",

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/*
 * XDR implementation on POSIX file interface, with buffering
 *
 * Copyright (C) 1992, University Corp for Atmospheric Research
 *
 * This set of routines implements a XDR on a POSIX file descriptor.
 * XDR_ENCODE serializes onto the descriptor, XDR_DECODE de-serializes
 * from the descriptor. As in stdio, we buffer i/o. This XDR is most
 * useful when the descriptor actually represents a file. It
 * corrects some performance problems with xdrstdio_getpos() and

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#include <stddef.h>
#include <stdint.h>
#include <stdlib.h>

// Copyright 2019 Google LLC.
// SPDX-License-Identifier: Apache-2.0

#include "fuzzer_temp_file.h"
#include "third_party/hdf4/hdf/src/hdf.h"

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#!/usr/bin/env python3

# Copyright 2022 Google LLC.
# SPDX-License-Identifier: Apache-2.0

import pathlib
import pprint
import xarray as xr

ignore_attrs = [

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{
   "description": "Contents of `description.md`.\n",
   "gee:type": "image",
   "id": "ORG/SUBORG/dataset/v5",
   "keywords": [
      "coral",
      "ocean"
   ],
   "license": "CC-BY-4.0",
   "links": [