Unsupported operand type s for int and nonetype как исправить

I don’t understand this error OR what it means. I will paste my code underneath, but I don’t think it is really relevant; I just want to understand this error.

It’s just a bit of code to add up the letters in all numbers 1 — 1000 (inclusive)

def number_translator(x):
    if x == 1:
        return 3
    elif x == 2:
        return 3
    elif x == 3:
        return 5
    elif x == 4:
        return 4
    elif x == 5:
        return 4
    elif x == 6:
        return 3
    elif x == 7:
        return 5
    elif x == 8:
        return 5
    elif x == 9:
        return 4
    elif x == 10:
        return 3
    elif x == 11:
        return 6
    elif x == 12:
        return 6
    elif x == 14:
        return 8
    elif x == 15:
        return 7
    elif x == 16:
        return 7
    elif x == 17:
        return 9
    elif x == 18:
        return 8
    elif x == 19:
        return 8
    elif x == 20:
        return 6
    elif x == 30:
        return 6
    elif x == 40:
        return 5
    elif x == 50:
        return 5
    elif x == 60:
        return 5
    elif x == 70:
        return 7
    elif x == 80:
        return 6
    elif x == 90:
        return 6

count = 0
for element in range(1, 1001):
    if element < 21:
        count += number_translator(element)              # for numbers 1 - 20
    elif 20 < element < 100:
        count += number_translator(int(str(element)[0]) * 10) + number_translator(int(str(element)[1]))  # for numbers 21 through 100
    elif element % 100 == 0 and element != 1000:
        count += number_translator(int(str(element)[0])) + 7   # for numbers divisible by 100, but not 1000
    elif element == 1000:
        count += 11                                          # just for 1000
    elif element % 100 < 20:
        count += number_translator(int(str(element)[0])) + 10 + number_translator(int(str(element)[1:3]))      # now I add in numbers like 101 - 120, 201 - 220, etc.
    else:
        count += number_translator(int(str(element)[0])) + 10 + number_translator(int(str(element)[1]) * 10) + number_translator(int(str(element)[2])) # now the rest( 121, 122, 123, 225, 256, 984, etc.)

print(count)

In python, TypeError: unsupported operand type(s) for +: ‘NoneType’ and ‘int’ error occurs when an integer value is added to a variable that is None. You can add an integer number with a another number. You can’t add a number to None. The Error TypeError: unsupported operand type(s) for +: ‘int’ and ‘NoneType’ will be thrown if an integer value is added with an operand or an object that is None.

An mathematical addition is performed between two numbers. It may be an integer, a float, a long number, etc. The number can not be added to the operand or object that is None. None means that no value is assigned to the variable. So if you try to add a number to a variable that is None, the error TypeError: unsupported operand type(s) for +: ‘NoneType’ and ‘int’ will be thrown.

Objects other than numbers can not be used for arithmetic operations such as addition , subtraction, etc. If you try to add a number to a variable that is None, the error TypeError: unsupported operand type(s) for +: ‘NoneType’ and ‘int’ will be displayed. The None variable should be assigned to an integer before it is added to another number.

Exception

The error TypeError: unsupported operand type(s) for +: ‘NoneType’ and ‘int’ will be shown as below the stack trace. The stack trace shows the line where an integer value is added to a variable that is None.

Traceback (most recent call last):
  File "/Users/python/Desktop/test.py", line 3, in <module>
    print x + y
TypeError: unsupported operand type(s) for +: 'NoneType' and 'int'
[Finished in 0.0s with exit code 1]

How to reproduce this error

If you try to add an integer value with a variable that is not assigned to a value, the error will be reproduced. Create two python variables. Assign a variable that has a valid integer number. Assign another variable to None. Add the two variables to the arithmetic addition operator.

x = None
y = 2
print x + y

Output

Traceback (most recent call last):
  File "/Users/python/Desktop/test.py", line 3, in <module>
    print x + y
TypeError: unsupported operand type(s) for +: 'NoneType' and 'int'
[Finished in 0.0s with exit code 1]

Root Cause

In Python, the arithmetic operation addition can be used to add two valid numbers. If an integer value is added with a variable that is assigned with None, this error TypeError: unsupported operand type(s) for +: ‘NoneType’ and ‘int’ will be thrown. The None variable should be assigned a valid number before it is added to the integer value.

Solution 1

If an integer value is added with a variable that is None, the error will be shown. A valid integer number must be assigned to the unassigned variable before the mathematical addition operation is carried out. This is going to address the error.

x = 3
y = 2
print x + y

Output

5
[Finished in 0.1s]

Solution 2

If the variable is assigned to None, skip to add the variable to the integer. If the variable does not have a value, you can not add it. If the variable type is NoneType, avoid adding the variable to the integer. Otherwise, the output will be unpredictable. If a variable is None, use an alternate flow in the code.

x = None
y = 2
if x is not None :
	print x + y
else :
	print y

Output

2
[Finished in 0.1s]

Solution 3

If the variable is assigned to None, assign the default value to the variable. For eg, if the variable is None, assign the variable to 0. The error will be thrown if the default value is assigned to it. The variable that is None has no meaning at all. You may assign a default value that does not change the value of the expression. In addition, the default value is set to 0. In the case of multiplication, the default value is 1.

x = None
y = 2
if x is None :
	x = 0
print x + y

Output

2
[Finished in 0.1s]

1. the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' in Python
2. Fix the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' in Python
3. Fix the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' Inside a Function

In Python the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' occurs when you add an integer value with a null value. We’ll discuss in this article the Python error and how to resolve it.

the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' in Python

The Python compiler throws the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' because we are manipulating two values with different datatypes. In this case, the data types of these values are int and null, and the error is educating you that the operation is not supported because the operand int and null for the + operator are invalid.

Code Example:

a = None
b = 32

print("The data type of a is ", type(a))
print("The data type of b is ", type(b))

# TypeError --> unsupported operand type(s) for +: 'NoneType' and 'int'
result = a+b

Output:

The data type of a is  <class 'NoneType'>
The data type of b is  <class 'int'>
TypeError: unsupported operand type(s) for +: 'NoneType' and 'int'

As we see in the output of the above program, the data type of a is NoneType, whereas the data type of b is int. When we try to add the variables a and b, we encounter the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int'.

Here are a few similar cases that also cause TypeError because their data types differ.

# Adding a string and an integer
a = "string"
b = 32
a+b         # --> Error

# Adding a Null value and a string
a = None
b = "string"
a+b         # --> Error

# Adding char value and a float
a = 'D'
b = 1.1
a+b         # --> Error

Fix the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' in Python

You cannot use null to perform arithmetic operations on it, and the above program has demonstrated that it throws an error. Furthermore, if you have any similar case, you typecast the values before performing any arithmetic operations or other desired tasks.

To fix this error, you can use valid data types to perform any arithmetic operations on it, typecast the values, or if your function returns null values, you can use try-catch blocks to save your program from crashing.

Code Example:

a = "Delf"
b = "Stack"

print("The data type of a is ", type(a))
print("The data type of b is ", type(b))

result = a+b

print(result)

Output:

The data type of a is  <class 'str'>
The data type of b is  <class 'str'>
DelfStack

As you can see, we have similar data types for a and b, which are perfectly concatenated without throwing any error because the nature of both variables is the same.

Fix the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' Inside a Function

Code Example:

def sum_ab(a, b=None):
        return a+b #TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'

sum_ab(3)

Output:

TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'

In the above code, the sum_ab() function has two arguments, a and b, whereas b is assigned to a null value its the default argument, and the function returns the sum of a and b.

Let’s say you have provided only one parameter, sum_ab(3). The function will automatically trigger the default parameter to None, which cannot be added, as seen in the above examples.

In this case, if you are unsure what function raised the TypeError: unsupported operand type(s) for +: 'NoneType' and 'int', you can use the try-catch mechanism to overcome such errors.

Code Example:

try:
    def sum_ab(a, b=None):
        return a+b

    sum_ab(3)

except TypeError:
    print(" unsupported operand type(s) for +: 'int' and 'NoneType' n The data types are a and b are invalid")

Output:

 unsupported operand type(s) for +: 'int' and 'NoneType'
 The data types are a and b are invalid

The try-catch block helps you interpret the errors and protect your program from crashing.

hi there
I am new to eras, and learning about it, for my fist model I am trying create a CNN 1D and every time I try to compile this I am getting the same error I try with even and Odds parameters,

here is the errors and bellow is the source code of my model. could some one please point me out my error and some resource for the solution?
thanks a lot
angelo

Traceback (most recent call last):
File «character_cnn.py», line 206, in
model.add(Dense(hidden_dims))
File «/usr/local/lib/python2.7/dist-packages/keras/layers/containers.py», line 32, in add
self.layers[-1].set_previous(self.layers[-2])
File «/usr/local/lib/python2.7/dist-packages/keras/layers/core.py», line 34, in set_previous
assert self.input_ndim == len(layer.output_shape), «Incompatible shapes: layer expected input with ndim=» +
File «/usr/local/lib/python2.7/dist-packages/keras/layers/core.py», line 588, in output_shape
return (input_shape[0], np.prod(input_shape[1:]))
File «/usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py», line 2481, in prod
out=out, keepdims=keepdims)
File «/usr/local/lib/python2.7/dist-packages/numpy/core/_methods.py», line 35, in _prod
return umr_prod(a, axis, dtype, out, keepdims)
TypeError: unsupported operand type(s) for *: ‘NoneType’ and ‘int’

nb_samples = X_train.shape[0]
nb_features = X_train.shape[1]
newshape = (nb_samples, 1, nb_features, 1)
X_train = np.reshape(X_train, newshape).astype(np.int)

We set some hyperparameters

BATCH_SIZE = 16
maxlen = 10
max_features = a.shape[1]
FIELD_SIZE = 5 * 300
STRIDE = 300
N_FILTERS = a.shape[1]
nb_classes =22
embedding_dims = 50
nb_filters = 250
filter_length = 2

number of hidden nodes in full connected layer

hidden_dims = 250

print(‘Build model…’)
model = Sequential()

model.add(Embedding(max_features, embedding_dims))
model.add(Dropout(0.25))
print «embedding dims: «, embedding_dims

we add a Convolution1D, which will learn nb_filter

word group filters of size filter_length:

model.add(Convolution1D(input_dim=embedding_dims,
nb_filter=nb_filters,
filter_length=filter_length,
border_mode=»valid»,
activation=»relu»,
subsample_length=1))
model.add(Activation(‘relu’))

we use standard max pooling (halving the output of the previous layer):

model.add(MaxPooling1D(pool_length=2))

We flatten the output of the conv layer,

so that we can add a vanilla dense layer:

model.add(Flatten())

Computing the output shape of a conv layer can be tricky;

for a good tutorial, see: http://cs231n.github.io/convolutional-networks/

output_size = nb_filters * (((maxlen — filter_length) / 1) + 1) / 2
print output_size
print nb_filters

I get the error in here no matter any parameter that I change

model.add(Dense(hidden_dims))
model.add(Dropout(0.25))
model.add(Activation(‘relu’))

model.add(Dense(nb_classes))

We project onto a single unit output layer, and squash it with a sigmoid:

model.add(Activation(‘softmax’))

model.compile(loss=’categorical_crossentropy’,
optimizer=’adadelta’)
print «fitting model»
model.fit(X_train, y_train, batch_size=BATCH_SIZE, verbose=1,
nb_epoch=10, show_accuracy=True,
validation_split=0.1)
score = model.evaluate(X_test, Y_test, show_accuracy=True, verbose=0)
print(‘Test score:’, score[0])
print(‘Test accuracy:’, score[1])