273 lines
8.8 KiB
C++
273 lines
8.8 KiB
C++
// Filename: fog.cxx
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// Created by: drose (14Mar02)
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//
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////////////////////////////////////////////////////////////////////
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//
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// PANDA 3D SOFTWARE
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// Copyright (c) Carnegie Mellon University. All rights reserved.
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//
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// All use of this software is subject to the terms of the revised BSD
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// license. You should have received a copy of this license along
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// with this source code in a file named "LICENSE."
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//
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////////////////////////////////////////////////////////////////////
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#include "pandabase.h"
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#include "fog.h"
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#include "mathNumbers.h"
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#include "nodePath.h"
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#include "transformState.h"
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#include "bamReader.h"
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#include "bamWriter.h"
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#include "datagram.h"
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#include "datagramIterator.h"
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#include <stddef.h>
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TypeHandle Fog::_type_handle;
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ostream &
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operator << (ostream &out, Fog::Mode mode) {
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switch (mode) {
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case Fog::M_linear:
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return out << "linear";
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case Fog::M_exponential:
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return out << "exponential";
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case Fog::M_exponential_squared:
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return out << "exponential-squared";
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}
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return out << "**invalid**(" << (int)mode << ")";
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::Constructor
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// Access: Published
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// Description:
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////////////////////////////////////////////////////////////////////
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Fog::
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Fog(const string &name) :
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PandaNode(name)
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{
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_mode = M_linear;
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_color.set(1.0f, 1.0f, 1.0f, 1.0f);
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_linear_onset_point.set(0.0f, 0.0f, 0.0f);
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_linear_opaque_point.set(0.0f, 100.0f, 0.0f);
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_exp_density = 0.5f;
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_linear_fallback_cosa = -1.0f;
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_linear_fallback_onset = 0.0f;
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_linear_fallback_opaque = 0.0f;
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_transformed_onset = 0.0f;
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_transformed_opaque = 0.0f;
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::Copy Constructor
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// Access: Protected
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// Description:
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////////////////////////////////////////////////////////////////////
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Fog::
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Fog(const Fog ©) :
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PandaNode(copy)
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{
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_mode = copy._mode;
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_color = copy._color;
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_linear_onset_point = copy._linear_onset_point;
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_linear_opaque_point = copy._linear_opaque_point;
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_exp_density = copy._exp_density;
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_linear_fallback_cosa = copy._linear_fallback_cosa;
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_linear_fallback_onset = copy._linear_fallback_onset;
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_linear_fallback_opaque = copy._linear_fallback_opaque;
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_transformed_onset = copy._transformed_onset;
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_transformed_opaque = copy._transformed_opaque;
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::Destructor
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// Access: Public, Virtual
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// Description:
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////////////////////////////////////////////////////////////////////
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Fog::
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~Fog() {
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::make_copy
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// Access: Public, Virtual
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// Description: Returns a newly-allocated Node that is a shallow copy
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// of this one. It will be a different Node pointer,
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// but its internal data may or may not be shared with
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// that of the original Node.
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////////////////////////////////////////////////////////////////////
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PandaNode *Fog::
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make_copy() const {
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return new Fog(*this);
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::xform
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// Access: Public, Virtual
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// Description: Transforms the contents of this node by the indicated
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// matrix, if it means anything to do so. For most
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// kinds of nodes, this does nothing.
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////////////////////////////////////////////////////////////////////
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void Fog::
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xform(const LMatrix4 &mat) {
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_linear_onset_point = _linear_onset_point * mat;
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_linear_opaque_point = _linear_opaque_point * mat;
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::output
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// Access: Public
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// Description:
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////////////////////////////////////////////////////////////////////
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void Fog::
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output(ostream &out) const {
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out << "fog: " << _mode;
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switch (_mode) {
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case M_linear:
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out << "(" << _linear_onset_point << ") -> ("
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<< _linear_opaque_point << ")";
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break;
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case M_exponential:
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case M_exponential_squared:
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out << _exp_density;
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break;
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};
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::adjust_to_camera
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// Access: Public
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// Description: This function is intended to be called by the cull
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// traverser to compute the appropriate camera-relative
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// onset and opaque distances, based on the fog node's
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// position within the scene graph (if linear fog is in
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// effect).
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////////////////////////////////////////////////////////////////////
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void Fog::
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adjust_to_camera(const TransformState *camera_transform) {
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LVector3 forward = LVector3::forward();
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LPoint3 onset_point, opaque_point;
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if (get_num_parents() != 0) {
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// Linear fog is relative to the fog's net transform in the scene
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// graph.
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NodePath this_np(this);
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CPT(TransformState) rel_transform =
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camera_transform->invert_compose(this_np.get_net_transform());
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const LMatrix4 &mat = rel_transform->get_mat();
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// How far out of whack are we?
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LVector3 fog_vector = (_linear_opaque_point - _linear_onset_point) * mat;
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fog_vector.normalize();
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PN_stdfloat cosa = fog_vector.dot(forward);
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if (cabs(cosa) < _linear_fallback_cosa) {
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// The fog vector is too far from the eye vector; use the
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// fallback mode.
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_transformed_onset = _linear_fallback_onset;
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_transformed_opaque = _linear_fallback_opaque;
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} else {
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_transformed_onset = forward.dot(_linear_onset_point * mat);
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_transformed_opaque = forward.dot(_linear_opaque_point * mat);
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}
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} else {
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// Not a camera-relative fog.
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_transformed_onset = forward.dot(_linear_onset_point);
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_transformed_opaque = forward.dot(_linear_opaque_point);
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}
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::get_linear_range
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// Access: Public
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// Description: Retrieves the current onset and offset ranges.
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////////////////////////////////////////////////////////////////////
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void Fog::
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get_linear_range(PN_stdfloat &onset, PN_stdfloat &opaque) {
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onset = _transformed_onset;
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opaque = _transformed_opaque;
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::register_with_read_factory
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// Access: Public, Static
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// Description: Tells the BamReader how to create objects of type
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// Fog.
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////////////////////////////////////////////////////////////////////
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void Fog::
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register_with_read_factory() {
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BamReader::get_factory()->register_factory(get_class_type(), make_from_bam);
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::write_datagram
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// Access: Public, Virtual
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// Description: Writes the contents of this object to the datagram
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// for shipping out to a Bam file.
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////////////////////////////////////////////////////////////////////
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void Fog::
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write_datagram(BamWriter *manager, Datagram &dg) {
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PandaNode::write_datagram(manager, dg);
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dg.add_int8(_mode);
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_color.write_datagram(dg);
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_linear_onset_point.write_datagram(dg);
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_linear_opaque_point.write_datagram(dg);
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dg.add_stdfloat(_exp_density);
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dg.add_stdfloat(_linear_fallback_cosa);
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dg.add_stdfloat(_linear_fallback_onset);
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dg.add_stdfloat(_linear_fallback_opaque);
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::make_from_bam
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// Access: Protected, Static
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// Description: This function is called by the BamReader's factory
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// when a new object of type Fog is encountered
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// in the Bam file. It should create the Fog
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// and extract its information from the file.
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////////////////////////////////////////////////////////////////////
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TypedWritable *Fog::
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make_from_bam(const FactoryParams ¶ms) {
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Fog *node = new Fog("");
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DatagramIterator scan;
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BamReader *manager;
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parse_params(params, scan, manager);
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node->fillin(scan, manager);
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return node;
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}
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////////////////////////////////////////////////////////////////////
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// Function: Fog::fillin
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// Access: Protected
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// Description: This internal function is called by make_from_bam to
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// read in all of the relevant data from the BamFile for
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// the new Fog.
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////////////////////////////////////////////////////////////////////
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void Fog::
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fillin(DatagramIterator &scan, BamReader *manager) {
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PandaNode::fillin(scan, manager);
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_mode = (Mode)scan.get_int8();
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_color.read_datagram(scan);
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_linear_onset_point.read_datagram(scan);
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_linear_opaque_point.read_datagram(scan);
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_exp_density = scan.get_stdfloat();
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_linear_fallback_cosa = scan.get_stdfloat();
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_linear_fallback_onset = scan.get_stdfloat();
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_linear_fallback_opaque = scan.get_stdfloat();
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}
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