i}8XddlmZmZddlmZddlmZmZmZddl m Z m Z m Z m Z mZddlZddlZddlmZddlmZmZmZerddlZddlZddlmZeej:e ej<j>ej@ffZ!ej<j>Z"e ejFjHe%fZ&ejNjPZ)n ee*e*fZ!e*Z"e*Z&ddl+m,Z,e,d e d e d efd Z)erddl-Z-d dgZ.ererd gndgZ.d)dZ/e)e. d*de eeee0e%efee0e%effde e"de e1de e2de e2de e%de e%d e!fdZ3de4d ee4e4ffdZ5dee2e2e2e2fd e%fdZ6de e"ej@fde4d e ej@e"ffdZ7e)e.e d+d ede e"d!e1d"e e8e e4e%fd#e e&d e!f d$Z9e)e. d*d%e eeeefee ee ee effd&e ede e"d'e ee%e%fde e%de e%d"e e8e e4e%fd e!fd(Z:y),) GeneratorSequence)product)ceilfloorsqrt)AnyListOptionalUnion no_type_checkN)Tensor)_LATEX_AVAILABLE_MATPLOTLIB_AVAILABLE_SCIENCEPLOT_AVAILABLE)contextmanagerargskwargsreturnc/Kdyw)z0No-ops decorator if matplotlib is not installed.N)rrs p/Volumes/fast/ai/experiments/voice-extract-mac/.venv/lib/python3.12/site-packages/torchmetrics/utilities/plot.py style_changer*s  ssciencezno-latexdefaultc&ts tdy)z+Raise error if matplotlib is not installed.z`Plot function expects `matplotlib` to be installed. Please install with `pip install matplotlib`N)rModuleNotFoundErrorrr_error_on_missing_matplotlibr8s ! n   !rvalaxhigher_is_better lower_bound upper_bound legend_namenamec  t|tjnd|f\}}|jj dt |t r|jdk(r3|j|jjgddnt|D]D\}} |r|d|n|} |j|| jjddd| Fnt |trt|jD]\}\} } | jdk7r|j| jjddd | |jj d |jd |jt!j"t%| |j|| jjdd| nt |t&rt%|} t |dtr|dD cic]5} | t!j(t+| Dcgc] }|||  c}7}} }|jD]7\} } |j| jjddd | 9nt!j(|d}|j,dk7} | r |j.n|j1d}t|D]G\}} | r |r|d|n|nd} |j| jjddd | I|jj d |jd |jt!j"| n t3d|j5\}}|r|r|j7||dddd d |j9}| | d||z z}nd|d|dz z}|j;|||z n|d|z |||zn|d|z|j=d |j?||nd|jA}d|d|dz z}g}||jC|||jC||jE||d|ddd|p|6|s4|jG|d|z |d|jI|d|ddd|6|r4|jG|d|z |d|jI|d|ddd||fScc}wcc}} w)aPlot a single metric value or multiple, including bounds of value if existing. Args: val: A single tensor with one or multiple values (multiclass/label/output format) or a list of such tensors. If a list is provided the values are interpreted as a time series of evolving values. ax: Axis from a figure. higher_is_better: Indicates if a label indicating where the optimal value it should be added to the figure lower_bound: lower value that the metric can take upper_bound: upper value that the metric can take legend_name: for class based metrics specify the legend prefix e.g. Class or Label to use when multiple values are provided name: Name of the metric to use for the y-axis label Returns: A tuple consisting of the figure and respective ax objects of the generated figure Raises: ModuleNotFoundError: If `matplotlib` is not installed NFo )marker markersize None)r+r, linestylelabel-TStep)r+r,r0rz&Got unknown format for argument `val`.z upper center)g?gffffff?)locbbox_to_anchorncolfancyboxshadowg?)bottomtopdashedk) linestylescolorszOptimal valuecenter)shorizontalalignmentverticalalignment)%rpltsubplots get_xaxis set_visible isinstancernumelplotdetachcpu enumeratedictitems set_xlabel set_xtickstorcharangelenrstackrangendimT unsqueeze ValueErrorget_legend_handles_labelslegendget_ylimset_ylimgrid set_ylabelget_xlimappendhlinesset_xlimtext)r r!r"r#r$r%r&figivr0r=n_steps multi_serieshandleslabelsylimfactorxlimy_liness rplot_single_or_multi_valrq@s>!" " cllnr GCLLNu%#v 99;!  GGSZZ\%%'(G D!#10;;-q,A3188:>>+CBRX`ef' C "399;/IAv1wwyA~ (sZ[\ **40 f% ell3q623188:>>+CBaP0 C "c( c!fd #PSTUPVWPV11ekkeGn"En3q6!9n"EFFPVCW 1 (sZ[\$++c1%C88q=L'#%%S]]1-=C!#1MYK=!-QC_a (sZ_`' ""4( f ell7+,ABB224OGV6 '6~kXYdhqu v ;;=D;#: k12Q$q')*KK'2'>{V#DGfDT$/$;K& a6AQ GGDMMM$*$5 ;;=D DGd1g% &FG{#{#IIgtAwQHSII#  "+; KKQ&($q' 2 GGQ(:PXlt    "'7 KKQ&($q' 2 GGQ(:PXlt   7Nm#FWs3"T>T9$ T>9T>nct|}t||k(rt|t|fSt|t|z|k\rt|t|fSt|t|fS)z/Split `n` figures into `rows` x `cols` figures.)rintrr)rrnsqs r_get_col_row_splitrvsd q'C 3x33xS!! SzDI"Sz49$$ 9d3i r patch_colorcd|\}}}}d|||fD\}}}d|zd|zzd|zz}|dkDrdSdS)zGet the text color for a given value and colormap. Following Wikipedia's recommendations: https://en.wikipedia.org/wiki/Relative_luminance. Args: patch_color: RGBA color tuple c3FK|]}|dkr|dz n |dzdz dzyw)g?ܵ?gףp= )@g)\(?gzG?g333333@Nr).0cs r z"_get_text_color..s0^T]qALq5yE U/Bs.JJT]s!gz6?g,C?g]m{?g?z.1whiter)rwrgbays r_get_text_colorrsYJAq!Q^UVXY[\T]^GAq!  VaZ&1*,As74''raxsnbc|t|tr|S|j}||dD]}|j|d|S)zSReduce `axs` to `nb` Axes. All further Axes are removed from the figure. N)rH_AX_TYPEflatremove)rrr!s rtrim_axsrs@ #x  ((C"#h  s8Orconfmatadd_textrlcmapc xt|jdk(r |jdd}}t|\}}nd|jdddf\}}}}|7|jdk7r(t ||k7rt dt |d||jdk(r<|xst j|} tttt|}n)d} |xs#t j|j}|tj||d n|j|f\} } t!| |} t|D]} |dk7s|dk7r| | n| }| |j#d | | d |j%|jdk(r!|| j'j)n|j'j)| } | |z|dz k(r|j+dd | |zdk(r|j-dd |j/tt||j1tt||j3|dd|j5|dd|s:t7t|t|D]\}}|jdk(r|| ||fn|||f}| j9| j;|j=}t?|}|jA||ttC|j=dddd || | fS)aPlot an confusion matrix. Inspired by: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/metrics/_plot/confusion_matrix.py. Works for both binary, multiclass and multilabel confusion matrices. Args: confmat: the confusion matrix. Either should be an [N,N] matrix in the binary and multiclass cases or an [N, 2, 2] matrix for multilabel classification ax: Axis from a figure. If not provided, a new figure and axis will be created add_text: if text should be added to each cell with the given value labels: labels to add the x- and y-axis cmap: matplotlib colormap to use for the confusion matrix https://matplotlib.org/stable/users/explain/colors/colormaps.html Returns: A tuple consisting of the figure and respective ax objects (or array of ax objects) of the generated figure Raises: ModuleNotFoundError: If `matplotlib` is not installed r4rr(NzYExpected number of elements in arg `labels` to match number of labels in confmat but got  and T)nrowsncolsconstrained_layoutzLabel )fontsize)rzPredicted classz True class-r*)rotationrr@)havarcolor)"rrWshapervrTrZnprSlistmapstrrVtolistrDrE get_figurer set_titleimshowrLrKrPr`rQ set_yticksset_xticklabelsset_yticklabelsrrnormitemrreround)rr!rrlrr n_classesrowscols fig_labelrfrrgimiijjr rwr{s rplot_confusion_matrixrs>!"||q a(!I'+ d$%w}}Q'7A$=!ItT glla/CK94L v;-uYK 1  ||q+biim c#uY/01 8299Y/668PRPZs||$dtLacananaprt`uHC 3 C 2Y TQYSVS  LL6)A,02L > YYGLLA4Ewqz~~'..07;;=K_K_KahlY m 9q MM+bM 9 t8q= MM,M 4 d5+,- d5+,- 6B< 6B< !% "2E)4DEB,3LLA,=gaRi(72r6? ggbggchhj&9: #K0BE#((*a$8 9h8^`hij F* 8Orcurvescore label_namesct|dkrtdt||dd\}}t|tjnd|f\} }t |t rt |t r|jdk(r|jdk(r{|d|jdnd} |j|jj|jjdd| | |jn{t |trt |tsAt |t r&t |t r|jdk(r|jdk(rt|} |(t|| k7rtd t|d | tt||D]\} \} }||d | n| t!| n t!|| } | |d || jdnd z } |j| jj|jjdd| |jn$tdt#|d t#|d|(|j%|d|j'|d|j)d|j+|| |fS)aInspired by: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/metrics/_plot/roc_curve.py. Plots a curve object Args: curve: a tuple of (x, y, t) where x and y are the coordinates of the curve and t are the thresholds used to compute the curve score: optional area under the curve added as label to the plot ax: Axis from a figure label_names: Tuple containing the names of the x and y axis legend_name: Name of the curve to be used in the legend name: Custom name to describe the metric labels: Optional labels for the different curves that will be added to the plot Returns: A tuple consisting of the figure and respective ax objects (or array of ax objects) of the generated figure Raises: ModuleNotFoundError: If `matplotlib` is not installed ValueError: If `curve` does not have 3 elements, being in the wrong format rz*Expected 2 or 3 elements in curve but got Nr(zAUC=z0.3fr1)r/ linewidthr0z\Expected number of elements in arg `labels` to match number of labels in roc curves but got r_z AUC=r3zQUnknown format for argument `x` and `y`. Expected either list or tensors but got .rT)rTrZrrDrErHrrWrrJrKrLr\rrMziprtyperPr`r_r)rrr!rr%r&rlxrrfr0rrgx_y_s r plot_curver(s~B 5zA~Ec%j\RSS !9DAq " " cllnr GC!VAv!6166Q;166UV;.3.?$uzz|D)*T   !((*.."2cQV[\   IIK Q *Q"51f*Q"7AFFaKAFFVWKF  #f+":6{m5 5  %SAY/KAxB,7,C{m1QC(SYSaQgjkqrsktguE u7HuU1X]]_T23b PE GGBIIKOO%ryy{'8CST\aG b IIK 0 _`def`g_hhmnrstnumvvw x   k!n% k!n%GGDMLL 7Nr)rN)NNNNNN)NTNN);collections.abcrr itertoolsrmathrrrtypingr r r r r numpyrrRrtorchmetrics.utilities.importsrrr matplotlibmatplotlib.axesmatplotlib.pyplotpyplotrDtupleFigureaxesAxesndarray_PLOT_OUT_TYPErr?Colormapr _CMAP_TYPEstylecontextrobject contextlibr scienceplots_stylerrNboolfloatrqrtrvrrrrrrrrrs0""<< jj#3::uZ__-A-A2::-M'NNON##Hz((11367J99$$L66>*NHJ)C39  $F.3C)) f"'+#'#'!%k vx'c6k):HT#v+EV