<commit_before>"Fit plotting"
import numpy as np
import matplotlib.pyplot as plt
from gpfit.fit import fit
from gpfit.print_fit import print_MA, print_SMA

# pylint: disable=invalid-name
# pylint: disable=too-many-locals
def plot_fit_1d(udata, wdata, K=1, fitclass='MA', plotspace='log'):
    "Finds and plots a fit (MA or SMA) for 1D data"

    cstrt, _ = fit(np.log(udata), np.log(wdata), K, fitclass)
    uu = np.linspace(min(udata), max(udata), 1000)

    if fitclass == 'MA':
        uvarkey, = cstrt[0].left.varkeys
        A = [c.left.exps[0][uvarkey] for c in cstrt]
        B = np.log([c.left.cs[0] for c in cstrt])
        WW = []
        for k in range(K):
            WW += [np.exp(B[k])*uu**A[k]]
        stringlist = print_MA(A, B, 1, K)


    if fitclass == 'SMA':
        wexps, = cstrt.left.exps
        alpha, = wexps.values()
        uvarkey, = cstrt.right.varkeys
        A = [d[uvarkey]/alpha for d in cstrt.right.exps]
        B = np.log(cstrt.right.cs) / alpha

        ww = 0<commit_msg>pylint fix<commit_after>"Fit plotting"
import matplotlib.pyplot as plt
import numpy as np
from gpfit.fit import fit
from gpfit.print_fit import print_MA, print_SMA

# pylint: disable=invalid-name
# pylint: disable=too-many-locals
def plot_fit_1d(udata, wdata, K=1, fitclass='MA', plotspace='log'):
    "Finds and plots a fit (MA or SMA) for 1D data"

    cstrt, _ = fit(np.log(udata), np.log(wdata), K, fitclass)
    uu = np.linspace(min(udata), max(udata), 1000)

    if fitclass == 'MA':
        uvarkey, = cstrt[0].left.varkeys
        A = [c.left.exps[0][uvarkey] for c in cstrt]
        B = np.log([c.left.cs[0] for c in cstrt])
        WW = []
        for k in range(K):
            WW += [np.exp(B[k])*uu**A[k]]
        stringlist = print_MA(A, B, 1, K)


    if fitclass == 'SMA':
        wexps, = cstrt.left.exps
        alpha, = wexps.values()
        uvarkey, = cstrt.right.varkeys
        A = [d[uvarkey]/alpha for d in cstrt.right.exps]
        B = np.log(cstrt.right.cs) / alpha

        ww = 0
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{'dir': 'git-commits-cleaned', 'id': '4579537', 'n_tokens_mistral': 843, 'n_tokens_neox': 801, 'n_words': 196}