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import plotly.graph_objects as ⵙᔓᔕ𖧷ᑐᑕᗱᗴᒍᒐ8Oⵔ옷ߦᗩᴥᕤᕦⵙⵔⵙⵔⵙᕤᕦᴥᗩߦ옷ⵔO8ᒍᒐᗱᗴᑐᑕ𖧷ᔓᔕⵙ
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import numpy as ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ
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def ⵙᗱᗴ𖧷ᑎߦᙏOᑐᑕⵙⵔⵙⵔⵙᑐᑕOᙏߦᑎ𖧷ᗱᗴⵙ(x):
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return (1-((-((-1)**ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor(x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)*(ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.exp(-1/((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)-ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2))))
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/(ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.exp(-1/((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)-ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2))))+ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.exp(-1/(1-(x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)+ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2))))))) +
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((-1)**ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)/1)*(ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.exp(-1/(1-(x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)+ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2))))/(ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.exp(-1/((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)-
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ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2))))+ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.exp(-1/(1-(x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2)+ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.floor((x/ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi*2))))))))/2 + .5))
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ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ=ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.linspace(0,4*ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.pi,1000)
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ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔᗩߦᗩ𐊌ⵙⵔⵙⵔⵙ𐊌ᗩߦᗩⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ=ⵙᗱᗴ𖧷ᑎߦᙏOᑐᑕⵙⵔⵙⵔⵙᑐᑕOᙏߦᑎ𖧷ᗱᗴⵙ(ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ)
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ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔᗩ𖧷ᗱᗴ옷𖧷ⵙⵔⵙⵔⵙ𖧷옷ᗱᗴ𖧷ᗩⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ=ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.cumsum(ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔᗩߦᗩ𐊌ⵙⵔⵙⵔⵙ𐊌ᗩߦᗩⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ)*(ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ[1]-ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ[0])
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ⵙᔓᔕᗱᗴ𖧷ᗩИNꖴᗝᴥOᑐᑕⵔꕤⵙⵔⵙⵔⵙꕤⵔᑐᑕOᴥᗝꖴИNᗩ𖧷ᗱᗴᔓᔕⵙ=ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.cumsum(ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.cos(ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔᗩ𖧷ᗱᗴ옷𖧷ⵙⵔⵙⵔⵙ𖧷옷ᗱᗴ𖧷ᗩⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ))*(ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ[1]-ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ[0])
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ⵙᔓᔕᗱᗴ𖧷ᗩИNꖴᗝᴥOᑐᑕⵔ人ⵙⵔⵙⵔⵙ人ⵔᑐᑕOᴥᗝꖴИNᗩ𖧷ᗱᗴᔓᔕⵙ=ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.cumsum(ⵙ人ߦᙏᑎИNⵙ〇ⵙ〇ⵙИNᑎᙏߦ人ⵙ.sin(ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔᗩ𖧷ᗱᗴ옷𖧷ⵙⵔⵙⵔⵙ𖧷옷ᗱᗴ𖧷ᗩⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ))*(ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ[1]-ⵙᔓᔕᗱᗴᑎᙁᗩᗯⵔꕤⵙⵔⵙⵔⵙꕤⵔᗯᗩᙁᑎᗱᗴᔓᔕⵙ[0])
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ⵙᗱᗴᴥᑎᕤᕦꖴꗳⵙⵔⵙⵔⵙꗳꖴᕤᕦᑎᴥᗱᗴⵙ=ⵙᔓᔕ𖧷ᑐᑕᗱᗴᒍᒐ8Oⵔ옷ߦᗩᴥᕤᕦⵙⵔⵙⵔⵙᕤᕦᴥᗩߦ옷ⵔO8ᒍᒐᗱᗴᑐᑕ𖧷ᔓᔕⵙ.Figure()
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ⵙᗱᗴᴥᑎᕤᕦꖴꗳⵙⵔⵙⵔⵙꗳꖴᕤᕦᑎᴥᗱᗴⵙ.add_trace(ⵙᔓᔕ𖧷ᑐᑕᗱᗴᒍᒐ8Oⵔ옷ߦᗩᴥᕤᕦⵙⵔⵙⵔⵙᕤᕦᴥᗩߦ옷ⵔO8ᒍᒐᗱᗴᑐᑕ𖧷ᔓᔕⵙ.Scatter(x=ⵙᔓᔕᗱᗴ𖧷ᗩИNꖴᗝᴥOᑐᑕⵔꕤⵙⵔⵙⵔⵙꕤⵔᑐᑕOᴥᗝꖴИNᗩ𖧷ᗱᗴᔓᔕⵙ,y=ⵙᔓᔕᗱᗴ𖧷ᗩИNꖴᗝᴥOᑐᑕⵔ人ⵙⵔⵙⵔⵙ人ⵔᑐᑕOᴥᗝꖴИNᗩ𖧷ᗱᗴᔓᔕⵙ,mode='lines',name='Curve'))
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ⵙᗱᗴᴥᑎᕤᕦꖴꗳⵙⵔⵙⵔⵙꗳꖴᕤᕦᑎᴥᗱᗴⵙ.update_layout(autosize=True,xaxis=dict(scaleanchor='y',scaleratio=1))
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ⵙᗱᗴᴥᑎᕤᕦꖴꗳⵙⵔⵙⵔⵙꗳꖴᕤᕦᑎᴥᗱᗴⵙ.show() |