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