Error while doing VAR Model

[aiiwnp]

My code
aic, bic, fpe, hqic = [], [], [], []
model = VAR(CRTA_train)
p = np.arange(1,60)
for i in p:
result = model.fit(i)
aic.append(result.aic)
bic.append(result.bic)
fpe.append(result.fpe)
hqic.append(result.hqic)
lags_metrics_df = pd.DataFrame({'AIC': aic,
'BIC': bic,
'HQIC': hqic,
'FPE': fpe},
index=p)
fig, ax = plt.subplots(1, 4, figsize=(15, 3), sharex=True)
lags_metrics_df.plot(subplots=True, ax=ax, marker='o')
plt.tight_layout()

my error:
AttributeError Traceback (most recent call last)
AttributeError: 'float' object has no attribute 'sqrt'

The above exception was the direct cause of the following exception:

TypeError Traceback (most recent call last)
Cell In[101], line 5
3 p = np.arange(1,60)
4 for i in p:
----> 5 result = model.fit(i)
6 aic.append(result.aic)
7 bic.append(result.bic)

File ~/anaconda3/lib/python3.11/site-packages/statsmodels/tsa/vector_ar/var_model.py:695, in VAR.fit(self, maxlags, method, ic, trend, verbose)
687 self.data.xnames = (
688 self.data.xnames[:k_trend]
689 + x_names_to_add
690 + self.data.xnames[k_trend:]
691 )
692 self.data.cov_names = pd.MultiIndex.from_product(
693 (self.data.xnames, self.data.ynames)
694 )
--> 695 return self._estimate_var(lags, trend=trend)

File ~/anaconda3/lib/python3.11/site-packages/statsmodels/tsa/vector_ar/var_model.py:738, in VAR._estimate_var(self, lags, offset, trend)
736 z[:, i] += lags
737 # make the same adjustment for the quadratic term
--> 738 if (np.diff(np.sqrt(z[:, i])) == 1).all():
739 z[:, i] = (np.sqrt(z[:, i]) + lags) ** 2
741 y_sample = endog[lags:]

TypeError: loop of ufunc does not support argument 0 of type float which has no callable sqrt method