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O/𖣠⚪ᕤᕦИNꖴᙏᗩᴥᕤᕦⓄᴥߦ⚪𔗢⚪🞋⚪𔗢⚪ߦᴥⓄᕤᕦᴥᗩᙏꖴИNᕤᕦ⚪𖣠/⚪ИN⚪Ⓞ⚪옷⚪✤⚪人⚪ߦ⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪ߦ⚪人⚪✤⚪옷⚪Ⓞ⚪ИN⚪/⚪ᴥ⚪ᗱᗴ⚪✤⚪人⚪ߦ⚪ᑎ⚪ᒍᒐ⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪ᒍᒐ⚪ᑎ⚪ߦ⚪人⚪✤⚪ᗱᗴ⚪ᴥ⚪/YP.⚪ИN⚪Ⓞ⚪ꖴ⚪✤⚪ᗩ⚪ᙏ⚪ꖴ⚪ꕤ⚪Ⓞ⚪ᴥ⚪ߦ⚪ᗩ⚪◯⚪ᙁ⚪ᗩ⚪ꖴ⚪✤⚪ИN⚪ᗱᗴ⚪ИN⚪Ⓞ⚪ߦ⚪ꕤ⚪ᗱᗴ⚪◯⚪ᗱᗴ⚪ᙁ⚪ᑐᑕ⚪ᴥ⚪ꖴ⚪ᑎ⚪¤⚪ᔓᔕ⚪◯⚪ᗱᗴ⚪ᴥ⚪ᑎ⚪✤⚪ᗩ⚪ᗯ⚪ᴥ⚪ᑎ⚪ᑐᑕ⚪◯⚪ᔓᔕ⚪ᑎ⚪ꖴ⚪⚭⚪ᗩ⚪ꗳ⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪𖡼⚪ꗳ⚪ᗩ⚪⚭⚪ꖴ⚪ᑎ⚪ᔓᔕ⚪◯⚪ᑐᑕ⚪ᑎ⚪ᴥ⚪ᗯ⚪ᗩ⚪✤⚪ᑎ⚪ᴥ⚪ᗱᗴ⚪◯⚪ᔓᔕ⚪¤⚪ᑎ⚪ꖴ⚪ᴥ⚪ᑐᑕ⚪ᙁ⚪ᗱᗴ⚪◯⚪ᗱᗴ⚪ꕤ⚪ߦ⚪Ⓞ⚪ИN⚪ᗱᗴ⚪ИN⚪✤⚪ꖴ⚪ᗩ⚪ᙁ⚪◯⚪ᗩ⚪ߦ⚪ᴥ⚪Ⓞ⚪ꕤ⚪ꖴ⚪ᙏ⚪ᗩ⚪✤⚪ꖴ⚪Ⓞ⚪ИN⚪.PY

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<EFBFBD><EFBFBD>import plotly.graph_objects as Y-<1A><><EFBFBD>PU<14><15><15><14>8OT-7<><37><07>%dfY-T-Y-T-Y-df%<1D><15>7<>T-O8<00><14><14><15>PU<1A><><EFBFBD>Y-
import numpy as Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-
def Y-<2D><15><1A><><EFBFBD>N<14>OOPUY-T-Y-T-Y-PUOO<16>N<1A><><EFBFBD><EFBFBD><15>Y-(x):
return (1-((-((-1)**Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor(x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)*(Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.exp(-1/((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)-Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2))))
/(Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.exp(-1/((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)-Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2))))+Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.exp(-1/(1-(x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)+Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2))))))) +
((-1)**Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)/1)*(Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.exp(-1/(1-(x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)+Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2))))/(Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.exp(-1/((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)-
Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2))))+Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.exp(-1/(1-(x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2)+Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.floor((x/Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi*2))))))))/2 + .5))
Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-=Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.linspace(0,4*Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.pi,1000)
Y-<15><15>NA<16><15>T-<2D><15><07>،<>Y-T-Y-T-Y-،<><D88C><15><07>T-<2D><15>AN<14><15>Y-=Y-<2D><15><1A><><EFBFBD>N<14>OOPUY-T-Y-T-Y-PUOO<16>N<1A><><EFBFBD><EFBFBD><15>Y-(Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-)
Y-<15><15>NA<16><15>T-<2D><1A><><EFBFBD><EFBFBD><15>7<><1A><><EFBFBD>Y-T-Y-T-Y-<1A><><EFBFBD>7<EFBFBD><37><15><1A><><EFBFBD><EFBFBD>T-<2D><15>AN<14><15>Y-=Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.cumsum(Y-<15><15>NA<16><15>T-<2D><15><07>،<>Y-T-Y-T-Y-،<><D88C><15><07>T-<2D><15>AN<14><15>Y-)*(Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-[1]-Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-[0])
Y-<15><15><1A><><EFBFBD><EFBFBD>N<00><><EFBFBD>%OPUT-d<>Y-T-Y-T-Y-d<>T-PUO%<1D><15><>N<00><1A><><EFBFBD><EFBFBD><15>Y-=Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.cumsum(Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.cos(Y-<15><15>NA<16><15>T-<2D><1A><><EFBFBD><EFBFBD><15>7<><1A><><EFBFBD>Y-T-Y-T-Y-<1A><><EFBFBD>7<EFBFBD><37><15><1A><><EFBFBD><EFBFBD>T-<2D><15>AN<14><15>Y-))*(Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-[1]-Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-[0])
Y-<15><15><1A><><EFBFBD><EFBFBD>N<00><><EFBFBD>%OPUT-<2D>NY-T-Y-T-Y-<2D>NT-PUO%<1D><15><>N<00><1A><><EFBFBD><EFBFBD><15>Y-=Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.cumsum(Y-<2D>N<EFBFBD>ONNY-0Y-0Y-NNO<16><07>NY-.sin(Y-<15><15>NA<16><15>T-<2D><1A><><EFBFBD><EFBFBD><15>7<><1A><><EFBFBD>Y-T-Y-T-Y-<1A><><EFBFBD>7<EFBFBD><37><15><1A><><EFBFBD><EFBFBD>T-<2D><15>AN<14><15>Y-))*(Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-[1]-Y-<15><15>NA<16><15>T-d<>Y-T-Y-T-Y-d<>T-<2D><15>AN<14><15>Y-[0])
Y-<2D><15>%Ndf<15><><EFBFBD><EFBFBD>Y-T-Y-T-Y-󥴥dfN%<1D><15>Y-=Y-<1A><><EFBFBD>PU<14><15><15><14>8OT-7<><37><07>%dfY-T-Y-T-Y-df%<1D><15>7<>T-O8<00><14><14><15>PU<1A><><EFBFBD>Y-.Figure()
Y-<2D><15>%Ndf<15><><EFBFBD><EFBFBD>Y-T-Y-T-Y-󥴥dfN%<1D><15>Y-.add_trace(Y-<1A><><EFBFBD>PU<14><15><15><14>8OT-7<><37><07>%dfY-T-Y-T-Y-df%<1D><15>7<>T-O8<00><14><14><15>PU<1A><><EFBFBD>Y-.Scatter(x=Y-<15><15><1A><><EFBFBD><EFBFBD>N<00><><EFBFBD>%OPUT-d<>Y-T-Y-T-Y-d<>T-PUO%<1D><15><>N<00><1A><><EFBFBD><EFBFBD><15>Y-,y=Y-<15><15><1A><><EFBFBD><EFBFBD>N<00><><EFBFBD>%OPUT-<2D>NY-T-Y-T-Y-<2D>NT-PUO%<1D><15><>N<00><1A><><EFBFBD><EFBFBD><15>Y-,mode='lines',name='Curve'))
Y-<2D><15>%Ndf<15><><EFBFBD><EFBFBD>Y-T-Y-T-Y-󥴥dfN%<1D><15>Y-.update_layout(autosize=True,xaxis=dict(scaleanchor='y',scaleratio=1))
Y-<2D><15>%Ndf<15><><EFBFBD><EFBFBD>Y-T-Y-T-Y-󥴥dfN%<1D><15>Y-.show()