Python input output error

[SOLVED] “errno 5 input/output error” fixes

Input/output error is a general error message that happens all the time under different situation. It indicates a problem in filesystem level, more specifically, the operating system cannot access a certain part of the disk drive (or virtual disk drive).

In this article, we will explain the possible reasons why the “errno 5 input/output error” message happens and a few solutions that might help solving it.

“[Errno 5] Input/output error” causes

Before we get into any further, let’s make it clear that the error indicates a problem happens with the disk while the operating system is writing or reading from it. The error is specific to Linux machines.

Sometimes, especially in situation where you’re running Linux as a virtual machine, the cause of “[Errno 5] Input/output error” might be related to the hypervisor. Try updating VMware or VirtualBox to see if the problem goes away.

Windows is currently under heavy development with changes are made every few months, that makes running a virtual machine more complex than ever. On Windows machines, you have to pay attention to Hyper-V to see if it plays nicely with VirtualBox or VMware. If Hyper-V causes the problem, you would have no choice but update VMware or VirtualBox (or reinstall Windows, of course).

“errno 5 input/output error” when trying to install Ubuntu/Debian

The error might look like the image above.

Not only happens on Ubuntu/Debian, the identical error message can also be displayed in Linux Mint (as it is a Ubuntu derivative).

Now there are several things you can try :

• Make sure your CD/DVD or flash drive contents are not corrupted. Usually the only thing you need to do is verifying MD5 hash of the ISO file you’ve downloaded against the official value from Ubuntu/Debian/Linux Mint website.
• Backup the existing disk (the whole HDD, not only the important partition) then delete all of them to reformat the whole disk. Or you could choose “Erase disk and install Ubuntu” to avoid manually deleting partitions.

“errno 5 input/output error” when using Google Colab

Colaboratory, also known as Google Colab, is a product from Google Research, it allows running Python code through the browser, especially suitable for data analysis, machine learning and education. Colab also allows running terminal commands prefix with the exclamation mark.

Sometimes, running terminal commands in Colab returns “”[Errno 5] Input/output error”. Another form of this error is “OSError: [Errno 5] Input/output error” when you try to run Python code that access the filesystem.

Google Drive integration in Colab is handy, but since these are 2 different services running in a cloud of thousands of servers, sometimes it performs not as well as if it is a physical server. If you’re connecting to Google Drive and mounted it to Colab, remember these rules of thumb to avoid input/output error :

• Number of files or subfolders in a folder should not be too large. We recommend keeping them under 50 subfolders/files.
• Try not to perform too many read/write operations to mounted Google Drive folder. Instead of that, write to the virtual environment disk, then move all of them to Google Drive mounted folder. The moving data functionality must have been thoroughly coded and tested before they launch Google Colab.
• Try not to run any snippet of code for too long since it may cause Colab to raise timeout error.
• Try not to move too much data at a short period of time. There are quota set by Google which are not necessary shown while using Colab. Basically, once the limit is passed you get the [Errno 5] Input/output error independent on the file or the operation you were doing.
• When in doubt, move files and folders out of /content/drive before manipulating them might solve your problem.

“OSError: errno 5 input/output error” with Python

It doesn’t really matter that you are using Django, Odoo, PyTorch or low-level libraries like pexpect or shutil, if there’s something wrong while reading/writing data to the disk, “OSError: errno 5 input/output error” might be the first error you will see.

There’s a couple of things you can try, depends on your specific scenario :

• Check the disk for errors. On Windows, you can run chkdsk . On Linux, there is fsck . If there are recoverable errors, they’ll be fixed. After that, your Python program may run without any issue.
• Carefully inspect the permissions of the folder/directory you’re working in. It should include appropriate read/write permission.
• Replace the disk drive to see if the problem goes away. If it does, then your disk drive is faulty.

We hope that the solutions above help you solve your problem and learn something along the way. If you’re new to Linux, you might want to checkout our guide on common error messages such as “ifconfig: command not found” and “cannot stat”. Backing up is important to avoid losing data, too, so we conducted 10+ practical Rclone examples – Rclone tutorial for beginners to get you started quicker.

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Handling IOErrors in Python – A Complete Guide

In this article, we’ll learn about handling IOErrors in Python Let us say that we are performing a mathematical operation on a particular example. This can be more tragic when it is lengthy. The main problem occurs when we are stuck somewhere. With a lot of effort, we solve it. But, the answer is not satisfactory or it is wrong. There are two possibilities for this:

1. Either the problem we are trying to solve is incorrectly built from the start us.
2. Or we are giving wrong input in the whole process or steps.

The whole thing in one simple word is an error. They can be of various types in various conditions. It depends on the problem itself. In the same way, there are errors in programming. They are the different forms of output and occur in special cases.

What is an IOError in Python?

IOError means Input/Output error. It occurs when a file, file path, or OS operation we’re referencing does not exist. For example, if you are running a runtime operation on an existing file, and the file goes missing from the location, Python will throw an IOError.

Now, before we learn how to handle IOErrors in Python, let’s understand the different types of errors.

Types Of Errors in Python

Compilers segment errors into different categories for better identification and solutions. Below are some of the most common error types that you’ll encounter during your programming.

1. ZeroDivisionError: Occurs when we try to divide a number by zero.
2. AssertionError: When the debugging or assert statement of a Python script fails this comes out.
3. AttributeError: When the given attribute is wrong or does not exist in a module or script.
4. FloatingPointError: Error in the floating point implementation process.
5. ImportError/ModuleNotFoundError: If we try to import a module and it does not exist, then this raises.
6. IOError : Raised when a file we are trying to access does not exist in the system.

You can browse more on the different exceptions from the official Python documentation through this link.

Detecting and Handling IOErrors in Python

Generally, in newer Python versions this exception has a new name.

Handling IOErrors in Python During File Operations

Let’s create a function to reference a file and then we’ll handle the IOError.

Code:

Now, we will delete the file and then try to open it and this will raise the required error.

Output:

FileNotFoundError is a subclass of IOError. We can also detect it using the Exception Handling methods in Python.

Let’s use the try and catch block to handle our filenotfounderror and provide us with a better, more understandable output.

Explanation:

1. In the try block, we try to open the file in read mode.
2. Then we add a message that if the file exists then print ‘file found’.
3. If the file does not exist the except statement takes care of that.
4. When an error occurs, this block will catch the error and print ‘File not found‘ instead of the complex error message we saw before.

Conclusion

So, the topic of handling IOError ends. This error specifically comes under the file handling criteria of Python programming. It is an easy topic to study and we can just get rid of errors using the ‘try-except blocks. Revise the simple code once again for getting a more clear idea.

I hope you enjoyed this really short and simple guide on working with IOErrors in Python.

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8. Errors and Exceptions¶

Until now error messages haven’t been more than mentioned, but if you have tried out the examples you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions.

8.1. Syntax Errors¶

Syntax errors, also known as parsing errors, are perhaps the most common kind of complaint you get while you are still learning Python:

The parser repeats the offending line and displays a little ‘arrow’ pointing at the earliest point in the line where the error was detected. The error is caused by (or at least detected at) the token preceding the arrow: in the example, the error is detected at the function print() , since a colon ( ‘:’ ) is missing before it. File name and line number are printed so you know where to look in case the input came from a script.

8.2. Exceptions¶

Even if a statement or expression is syntactically correct, it may cause an error when an attempt is made to execute it. Errors detected during execution are called exceptions and are not unconditionally fatal: you will soon learn how to handle them in Python programs. Most exceptions are not handled by programs, however, and result in error messages as shown here:

The last line of the error message indicates what happened. Exceptions come in different types, and the type is printed as part of the message: the types in the example are ZeroDivisionError , NameError and TypeError . The string printed as the exception type is the name of the built-in exception that occurred. This is true for all built-in exceptions, but need not be true for user-defined exceptions (although it is a useful convention). Standard exception names are built-in identifiers (not reserved keywords).

The rest of the line provides detail based on the type of exception and what caused it.

The preceding part of the error message shows the context where the exception occurred, in the form of a stack traceback. In general it contains a stack traceback listing source lines; however, it will not display lines read from standard input.

Built-in Exceptions lists the built-in exceptions and their meanings.

8.3. Handling Exceptions¶

It is possible to write programs that handle selected exceptions. Look at the following example, which asks the user for input until a valid integer has been entered, but allows the user to interrupt the program (using Control — C or whatever the operating system supports); note that a user-generated interruption is signalled by raising the KeyboardInterrupt exception.

The try statement works as follows.

First, the try clause (the statement(s) between the try and except keywords) is executed.

If no exception occurs, the except clause is skipped and execution of the try statement is finished.

If an exception occurs during execution of the try clause, the rest of the clause is skipped. Then, if its type matches the exception named after the except keyword, the except clause is executed, and then execution continues after the try/except block.

If an exception occurs which does not match the exception named in the except clause, it is passed on to outer try statements; if no handler is found, it is an unhandled exception and execution stops with a message as shown above.

A try statement may have more than one except clause, to specify handlers for different exceptions. At most one handler will be executed. Handlers only handle exceptions that occur in the corresponding try clause, not in other handlers of the same try statement. An except clause may name multiple exceptions as a parenthesized tuple, for example:

A class in an except clause is compatible with an exception if it is the same class or a base class thereof (but not the other way around — an except clause listing a derived class is not compatible with a base class). For example, the following code will print B, C, D in that order:

Note that if the except clauses were reversed (with except B first), it would have printed B, B, B — the first matching except clause is triggered.

When an exception occurs, it may have associated values, also known as the exception’s arguments. The presence and types of the arguments depend on the exception type.

The except clause may specify a variable after the exception name. The variable is bound to the exception instance which typically has an args attribute that stores the arguments. For convenience, builtin exception types define __str__() to print all the arguments without explicitly accessing .args .

The exception’s __str__() output is printed as the last part (‘detail’) of the message for unhandled exceptions.

BaseException is the common base class of all exceptions. One of its subclasses, Exception , is the base class of all the non-fatal exceptions. Exceptions which are not subclasses of Exception are not typically handled, because they are used to indicate that the program should terminate. They include SystemExit which is raised by sys.exit() and KeyboardInterrupt which is raised when a user wishes to interrupt the program.

Exception can be used as a wildcard that catches (almost) everything. However, it is good practice to be as specific as possible with the types of exceptions that we intend to handle, and to allow any unexpected exceptions to propagate on.

The most common pattern for handling Exception is to print or log the exception and then re-raise it (allowing a caller to handle the exception as well):

The try … except statement has an optional else clause, which, when present, must follow all except clauses. It is useful for code that must be executed if the try clause does not raise an exception. For example:

The use of the else clause is better than adding additional code to the try clause because it avoids accidentally catching an exception that wasn’t raised by the code being protected by the try … except statement.

Exception handlers do not handle only exceptions that occur immediately in the try clause, but also those that occur inside functions that are called (even indirectly) in the try clause. For example:

8.4. Raising Exceptions¶

The raise statement allows the programmer to force a specified exception to occur. For example:

The sole argument to raise indicates the exception to be raised. This must be either an exception instance or an exception class (a class that derives from BaseException , such as Exception or one of its subclasses). If an exception class is passed, it will be implicitly instantiated by calling its constructor with no arguments:

If you need to determine whether an exception was raised but don’t intend to handle it, a simpler form of the raise statement allows you to re-raise the exception:

8.5. Exception Chaining¶

If an unhandled exception occurs inside an except section, it will have the exception being handled attached to it and included in the error message:

To indicate that an exception is a direct consequence of another, the raise statement allows an optional from clause:

This can be useful when you are transforming exceptions. For example:

It also allows disabling automatic exception chaining using the from None idiom:

For more information about chaining mechanics, see Built-in Exceptions .

8.6. User-defined Exceptions¶

Programs may name their own exceptions by creating a new exception class (see Classes for more about Python classes). Exceptions should typically be derived from the Exception class, either directly or indirectly.

Exception classes can be defined which do anything any other class can do, but are usually kept simple, often only offering a number of attributes that allow information about the error to be extracted by handlers for the exception.

Most exceptions are defined with names that end in “Error”, similar to the naming of the standard exceptions.

Many standard modules define their own exceptions to report errors that may occur in functions they define.

8.7. Defining Clean-up Actions¶

The try statement has another optional clause which is intended to define clean-up actions that must be executed under all circumstances. For example:

If a finally clause is present, the finally clause will execute as the last task before the try statement completes. The finally clause runs whether or not the try statement produces an exception. The following points discuss more complex cases when an exception occurs:

If an exception occurs during execution of the try clause, the exception may be handled by an except clause. If the exception is not handled by an except clause, the exception is re-raised after the finally clause has been executed.

An exception could occur during execution of an except or else clause. Again, the exception is re-raised after the finally clause has been executed.

If the finally clause executes a break , continue or return statement, exceptions are not re-raised.

If the try statement reaches a break , continue or return statement, the finally clause will execute just prior to the break , continue or return statement’s execution.

If a finally clause includes a return statement, the returned value will be the one from the finally clause’s return statement, not the value from the try clause’s return statement.

A more complicated example:

As you can see, the finally clause is executed in any event. The TypeError raised by dividing two strings is not handled by the except clause and therefore re-raised after the finally clause has been executed.

In real world applications, the finally clause is useful for releasing external resources (such as files or network connections), regardless of whether the use of the resource was successful.

8.8. Predefined Clean-up Actions¶

Some objects define standard clean-up actions to be undertaken when the object is no longer needed, regardless of whether or not the operation using the object succeeded or failed. Look at the following example, which tries to open a file and print its contents to the screen.

The problem with this code is that it leaves the file open for an indeterminate amount of time after this part of the code has finished executing. This is not an issue in simple scripts, but can be a problem for larger applications. The with statement allows objects like files to be used in a way that ensures they are always cleaned up promptly and correctly.

After the statement is executed, the file f is always closed, even if a problem was encountered while processing the lines. Objects which, like files, provide predefined clean-up actions will indicate this in their documentation.

There are situations where it is necessary to report several exceptions that have occurred. This is often the case in concurrency frameworks, when several tasks may have failed in parallel, but there are also other use cases where it is desirable to continue execution and collect multiple errors rather than raise the first exception.

The builtin ExceptionGroup wraps a list of exception instances so that they can be raised together. It is an exception itself, so it can be caught like any other exception.

By using except* instead of except , we can selectively handle only the exceptions in the group that match a certain type. In the following example, which shows a nested exception group, each except* clause extracts from the group exceptions of a certain type while letting all other exceptions propagate to other clauses and eventually to be reraised.

Note that the exceptions nested in an exception group must be instances, not types. This is because in practice the exceptions would typically be ones that have already been raised and caught by the program, along the following pattern:

8.10. Enriching Exceptions with Notes¶

When an exception is created in order to be raised, it is usually initialized with information that describes the error that has occurred. There are cases where it is useful to add information after the exception was caught. For this purpose, exceptions have a method add_note(note) that accepts a string and adds it to the exception’s notes list. The standard traceback rendering includes all notes, in the order they were added, after the exception.

For example, when collecting exceptions into an exception group, we may want to add context information for the individual errors. In the following each exception in the group has a note indicating when this error has occurred.

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Input/output error is a general error message that happens all the time under different situation. It indicates a problem in filesystem level, more specifically, the operating system cannot access a certain part of the disk drive (or virtual disk drive).

In this article, we will explain the possible reasons why the “errno 5 input/output error” message happens and a few solutions that might help solving it.

Also check out: Inappropriate ioctl for device/ENOTTY error in Linux

Before we get into any further, let’s make it clear that the error indicates a problem happens with the disk while the operating system is writing or reading from it. The error is specific to Linux machines.

Sometimes, especially in situation where you’re running Linux as a virtual machine, the cause of “[Errno 5] Input/output error” might be related to the hypervisor. Try updating VMware or VirtualBox to see if the problem goes away.

Windows is currently under heavy development with changes are made every few months, that makes running a virtual machine more complex than ever. On Windows machines, you have to pay attention to Hyper-V to see if it plays nicely with VirtualBox or VMware. If Hyper-V causes the problem, you would have no choice but update VMware or VirtualBox (or reinstall Windows, of course).

“errno 5 input/output error” when trying to install Ubuntu/Debian

The error might look like the image above.

Not only happens on Ubuntu/Debian, the identical error message can also be displayed in Linux Mint (as it is a Ubuntu derivative).

Now there are several things you can try :

• Make sure your CD/DVD or flash drive contents are not corrupted. Usually the only thing you need to do is verifying MD5 hash of the ISO file you’ve downloaded against the official value from Ubuntu/Debian/Linux Mint website.
• Backup the existing disk (the whole HDD, not only the important partition) then delete all of them to reformat the whole disk. Or you could choose “Erase disk and install Ubuntu” to avoid manually deleting partitions.
• Test your RAM for defects. You can use MemTest86 to conduct this type of test. If you have a defect RAM, remove or replace it.
• Last resort : Replace the HDD to see if the error message goes away.

“errno 5 input/output error” when using Google Colab

Colaboratory, also known as Google Colab, is a product from Google Research, it allows running Python code through the browser, especially suitable for data analysis, machine learning and education. Colab also allows running terminal commands prefix with the exclamation mark.

Sometimes, running terminal commands in Colab returns “”[Errno 5] Input/output error”. Another form of this error is “OSError: [Errno 5] Input/output error” when you try to run Python code that access the filesystem.

Google Drive integration in Colab is handy, but since these are 2 different services running in a cloud of thousands of servers, sometimes it performs not as well as if it is a physical server. If you’re connecting to Google Drive and mounted it to Colab, remember these rules of thumb to avoid input/output error :

• Number of files or subfolders in a folder should not be too large. We recommend keeping them under 50 subfolders/files.
• Try not to perform too many read/write operations to mounted Google Drive folder. Instead of that, write to the virtual environment disk, then move all of them to Google Drive mounted folder. The moving data functionality must have been thoroughly coded and tested before they launch Google Colab.
• Try not to run any snippet of code for too long since it may cause Colab to raise timeout error.
• Try not to move too much data at a short period of time. There are quota set by Google which are not necessary shown while using Colab. Basically, once the limit is passed you get the [Errno 5] Input/output error independent on the file or the operation you were doing.
• When in doubt, move files and folders out of /content/drive before manipulating them might solve your problem.

“OSError: errno 5 input/output error” with Python

It doesn’t really matter that you are using Django, Odoo, PyTorch or low-level libraries like pexpect or shutil, if there’s something wrong while reading/writing data to the disk, “OSError: errno 5 input/output error” might be the first error you will see.

There’s a couple of things you can try, depends on your specific scenario :

• Check the disk for errors. On Windows, you can run chkdsk. On Linux, there is fsck. If there are recoverable errors, they’ll be fixed. After that, your Python program may run without any issue.
• Carefully inspect the permissions of the folder/directory you’re working in. It should include appropriate read/write permission.
• Replace the disk drive to see if the problem goes away. If it does, then your disk drive is faulty.

We hope that the solutions above help you solve your problem and learn something along the way. If you’re new to Linux, you might want to checkout our guide on common error messages such as “ifconfig: command not found” and “cannot stat”. Backing up is important to avoid losing data, too, so we conducted 10+ practical Rclone examples – Rclone tutorial for beginners to get you started quicker.

In this article, we will discuss Pipe Error in python starting from how an error is occurred in python along with the type of solution needed to be followed to rectify the error in python. So, let’s go into this article to understand the concept well. 

With the advancement of emerging technologies in the IT sector, the use of programming language is playing a vital role. Thus the proper language is considered for the fast executions of the functions. In such a case, Python emerges as the most important language to satisfy the needs of the current problem execution because of its simplicity and availability of various libraries. But along with the execution, the errors during the execution also comes into existence and it becomes difficult for the programmers to rectify the errors for the processing of the problem.

The Emergence of Broken Pipe Error

A broken Pipe Error is generally an Input/Output Error, which is occurred at the Linux System level. The error has occurred during the reading and writing of the files and it mainly occurs during the operations of the files. The same error that occurred in the Linux system is EPIPE, but every library function which returns its error code also generates a signal called SIGPIPE, this signal is used to terminate the program if it is not handled or blocked. Thus a program will never be able to see the EPIPE error unless it has handled or blocked SIGPIPE.

Python interpreter is not capable enough to ignore SIGPIPE by default, instead, it converts this signal into an exception and raises an error which is known as IOError(INPUT/OUTPUT error) also know as ‘Error 32’ or Broken Pipe Error.

Broken Pipe Error in Python terminal

python <filename>.py | head

This pipeline code written above will create a process that will send the data upstream and a process that reads the data downstream. But when the downstream process will not be able to read the data upstream, it will raise an exception by sending SIGPIPE signal to the upstream process. Thus upstream process in a python problem will raise an error such as IOError: Broken pipe error will occur.

Example:

When we run this file from unix commands:

python3 main.py | head -n3000

Procedure to avoid Broken Pipe Error

Approach 1: To avoid the error we need to make the terminal run the code efficiently without catching the SIGPIPE signal, so for these, we can add the below code at the top of the python program.

from signal import signal, SIGPIPE, SIG_DFL  
signal(SIGPIPE,SIG_DFL) 

Output:

0
1
20
1
2
3
4
5
6
7
8
9
3
4
5
6
7
8
9

Explanation:

The above code which is placed on the top of the python code is used to redirect the SIGPIPE signals to the default SIG_DFL signal, which the system generally ignores so that the rest part of the code can be executed seamlessly. But Approach 11 is not effective because in the Python manual on the signal library, which is mentioned that this type of signal handling should be avoided and should not be practiced in any part of the code. So for this reason we will go for the second approach.

Approach 2: We can handle this type of error by using the functionality of try/catch block which is already approved by the python manual and is advised to follow such procedure to handle the errors.

import sys, errno  
try:  
   # INPUT/OUTPUT operation #
except IOError as e:  
   if e.errno == errno.EPIPE:  
       # Handling of the error  

Example:

Output:

0
1
2
3
4
5
6
7
8
9

Explanation:

In the above piece of code, we have used the built-in library of python which is the Sys and Errno module, and use the try/catch block in order to catch the raised SIGPIPE exception and handle it before it stops the program execution.