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ERROR:waitress:Exception while serving /api/documentos/modeloantonio | |
Traceback (most recent call last): | |
File "/home/antonio/miniconda3/envs/cnj-sas-webapi/lib/python3.9/site-packages/waitress/channel.py", line 428, in service | |
task.service() | |
File "/home/antonio/miniconda3/envs/cnj-sas-webapi/lib/python3.9/site-packages/waitress/task.py", line 168, in service | |
self.execute() | |
File "/home/antonio/miniconda3/envs/cnj-sas-webapi/lib/python3.9/site-packages/waitress/task.py", line 434, in execute | |
app_iter = self.channel.server.application(environ, start_response) | |
File "/home/antonio/miniconda3/envs/cnj-sas-webapi/lib/python3.9/site-packages/waitress/proxy_headers.py", line 64, in translate_proxy_headers | |
return app(environ, start_response) |
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#@title Montar integração com Drive | |
import os | |
from google.colab import drive | |
drive.mount('/content/drive') | |
root_path = 'drive/My Drive/DIRETORIO_COM_ARQUIVO/' | |
os.chdir(root_path) |
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import imgaug as ia | |
from imgaug import augmenters as iaa | |
augmentation_flip_x_change = 0.5 | |
augmenter = iaa.Sequential( | |
[ | |
iaa.SomeOf(augmentations_done_range, | |
[ | |
iaa.Fliplr(augmentation_flip_x_change) |
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import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
import numpy as np | |
import tensorflow as tf | |
from sklearn.pipeline import Pipeline |
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def entrada(): | |
try: | |
return input() | |
except EOFError: | |
return "" | |
for numero in iter(entrada, ""): | |
quantidade_num_telefones = int(numero) | |
matriz = [list(str(input())) for __ in range(quantidade_num_telefones)] |
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for numero in iter(input, ""): | |
quantidade_num_telefones = int(numero) | |
matriz = [list(str(input())) for __ in range(quantidade_num_telefones)] | |
quantidade_digitos_nao_impressos = 0 | |
# A primeira linha é a base. Não precisa ser analisada. | |
for indice_numero_telefone in range(1, len(matriz)): | |
lista_digitos_telefone = matriz[indice_numero_telefone] |
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for numero in iter(input, ""): | |
quantidade_num_telefones = int(numero) | |
matriz = [list(str(input())) for __ in range(quantidade_num_telefones)] | |
quantidade_digitos_nao_impressos = 0 | |
# A primeira linha é a base. Não precisa ser analisada. | |
for indice_numero_telefone in range(1, len(matriz)): | |
lista_digitos_telefone = matriz[indice_numero_telefone] |
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for numero in iter(input, ""): | |
quantidade_num_telefones = int(numero) | |
matriz = [list(str(input())) for __ in range(quantidade_num_telefones)] | |
quantidade_digitos_nao_impressos = 0 | |
# A primeira linha é a base. Não precisa ser analisada. | |
for indice_numero_telefone in range(1, len(matriz)): | |
lista_digitos_telefone = matriz[indice_numero_telefone] |
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import numpy as np | |
O = str(input()) | |
tamanho_da_matriz = 12 | |
# Cria uma matriz de zeros | |
matriz = np.zeros((tamanho_da_matriz, tamanho_da_matriz)) | |
# Preenche a matriz | |
for linha in range(tamanho_da_matriz): |