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https://github.com/3b1b/manim.git
synced 2025-08-02 19:46:21 +08:00
Get rid of lagged_start
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@ -237,7 +237,7 @@ class NetworkMobject(VGroup):
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return [ShowCreationThenDestruction(
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edge_group_copy,
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run_time = self.edge_propogation_time,
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submobject_mode = "lagged_start"
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lag_ratio = 0.5
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)]
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def add_output_labels(self):
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@ -428,14 +428,14 @@ class ExampleThrees(PiCreatureScene):
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moving_three.target[0].set_stroke(width = 0)
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moving_three.target[1].space_out_submobjects(1.5)
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self.play(MoveToTarget(
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moving_three, submobject_mode = "lagged_start"
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moving_three, lag_ratio = 0.5
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))
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self.play(
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Animation(randy),
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moving_three.replace, randy.eyes[1],
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moving_three.scale_in_place, 0.7,
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run_time = 2,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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)
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self.play(
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Animation(randy),
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@ -668,7 +668,7 @@ class LayOutPlan(TeacherStudentsScene, NetworkScene):
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)
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self.play(ShowCreation(
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network_mob.edge_groups,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 2,
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lag_factor = 8,
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rate_func=linear,
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@ -870,7 +870,7 @@ class AlternateNeuralNetworks(PiCreatureScene):
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self.wait()
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self.play(
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examples[0].shift, MED_LARGE_BUFF*UP,
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FadeIn(examples[1], submobject_mode = "lagged_start"),
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FadeIn(examples[1], lag_ratio = 0.5),
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)
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self.wait()
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self.play(
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@ -1424,7 +1424,7 @@ class MoreHonestMNistNetworkPreview(IntroduceEachLayer):
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return Transform(
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mover, target,
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run_time = 2,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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remover = True
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)
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@ -1655,7 +1655,7 @@ class BreakUpMacroPatterns(IntroduceEachLayer):
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self.play(
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FadeIn(
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network_mob,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 3,
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),
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MoveToTarget(patterns)
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@ -2003,7 +2003,7 @@ class SecondLayerIsLittleEdgeLayer(IntroduceEachLayer):
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ShowCreationThenDestruction(
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edge_groups[i-1],
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run_time = 2,
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submobject_mode = "lagged_start"
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lag_ratio = 0.5
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),
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FadeIn(active_layers[i])
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)
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@ -2014,7 +2014,7 @@ class SecondLayerIsLittleEdgeLayer(IntroduceEachLayer):
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self.play(MoveToTarget(
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neurons,
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remover = True,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 2
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))
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@ -2075,7 +2075,7 @@ class SecondLayerIsLittleEdgeLayer(IntroduceEachLayer):
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self.play(MoveToTarget(
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image_group,
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rate_func = there_and_back,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 2,
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))
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@ -2254,7 +2254,7 @@ class IntroduceWeights(IntroduceEachLayer):
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FadeOut(self.network_mob.output_labels),
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Animation(neuron),
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neuron.edges_in.set_stroke, None, 2,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 2
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)
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@ -2279,13 +2279,13 @@ class IntroduceWeights(IntroduceEachLayer):
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FadeIn(rect),
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ShowCreation(
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pixels,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 2,
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)
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)
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self.play(
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pixels_to_detect.set_fill, WHITE, 1,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 2
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)
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self.wait(2)
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@ -2507,7 +2507,7 @@ class IntroduceWeights(IntroduceEachLayer):
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self.play(
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FadeIn(
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VGroup(*weight_grid[len(decimals):]),
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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run_time = 3
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),
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*[
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@ -2538,13 +2538,13 @@ class IntroduceWeights(IntroduceEachLayer):
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self.play(MoveToTarget(
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weight_grid,
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run_time = 2,
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submobject_mode = "lagged_start"
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lag_ratio = 0.5
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))
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self.wait()
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self.play(Transform(
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pixels, digit,
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run_time = 2,
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submobject_mode = "lagged_start"
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lag_ratio = 0.5
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))
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self.wait()
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self.play(weight_grid.move_to, pixels)
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@ -2554,7 +2554,7 @@ class IntroduceWeights(IntroduceEachLayer):
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self.pixels_to_detect.copy(),
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self.weighted_sum,
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run_time = 3,
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submobject_mode = "lagged_start"
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lag_ratio = 0.5
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),
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Animation(weight_grid),
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)
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@ -2878,7 +2878,7 @@ class IncludeBias(IntroduceWeights):
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colored_pixels.shift, MED_LARGE_BUFF*UP,
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rate_func = there_and_back,
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run_time = 2,
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submobject_mode = "lagged_start"
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lag_ratio = 0.5
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))
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self.wait()
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@ -3037,7 +3037,7 @@ class ShowRemainingNetwork(IntroduceWeights):
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]
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edges.set_stroke(width = 2)
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self.play(
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ShowCreation(edges, submobject_mode = "lagged_start"),
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ShowCreation(edges, lag_ratio = 0.5),
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FadeIn(neuron),
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*added_anims,
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run_time = 1.5
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@ -3597,7 +3597,7 @@ class IntroduceWeightMatrix(NetworkScene):
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self.play(FadeIn(
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lower_rows,
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run_time = 3,
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submobject_mode = "lagged_start",
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lag_ratio = 0.5,
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))
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self.wait()
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@ -4072,7 +4072,7 @@ class NeuronIsFunction(MoreHonestMNistNetworkPreview):
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FadeIn(
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mob,
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run_time = 2,
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submobject_mode = "lagged_start"
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lag_ratio = 0.5
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)
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for mob in (self.network_mob.layers, self.network_mob.edge_groups)
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]
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