Check if a class is a LoadTestShape

Simulates the `requests.Response.iter_content` method Used for streaming response content :param `chunk_size`: The size of

Sends a iter_lines request for streaming responses

Import given locustfile path and return (docstring, callables). Specifically, the locustfile's ``__doc__`` attribute (a string) and a di

Create User classes from pytest test functions. It relies on some pytest internals to collect test functions and their fixtures, but it

total is the number of requests made count is a dict {response_time: count}

Validate content of each locustfile in locustfiles and merge data to single objects output. Can stop locust execution on errors.

This is the default handler for events received. You can register separate handlers using self.sio.on(event, handler) Measur

Called when a User starts executing this TaskSet

Called when a User starts running.

Called when a User stops running (is killed)

Wrapper around :py:meth:`Response.raise_for_status <requests.Response.raise_for_status>` but also taking into account explicit failure()/succe

Raise any connection errors that occurred during the request

Group requests using the "with" keyword

Group requests using the "with" keyword

Write requests csv with header and data rows.

Sends a message to master node :param msg_type: The type of the message to send :param data: Optional data to send :

Start running a load test as a worker :param user_classes_count: Users to run

Writes all the csv files for the locust run.

Returns an exponentially distributed time strictly between two bounds.

Returns the text content of the response as a decoded string

Returns a tuple with 2 elements to control the running load test: user_count -- Total user count spawn_rate -- Numbe

Get all the UI visible arguments

Validates that a MarkovTaskSet has at least one Markov task. This function is used internally during MarkovTaskSet validation to ensure

Runs all validation functions on a Markov chain. :param tasks: List of Markov tasks to validate :param class_dict: Dictionary containing

Validates that Markov tasks don't have tags, which are unsupported. Tags are not supported for MarkovTaskSet because they can make the Marko

Checks for and warns about unreachable Markov tasks in a MarkovTaskSet. This function uses depth-first search (DFS) starting from the first

Validates that certain method names aren't used as Markov tasks. This function checks for special method names that shouldn't be used as Mar

Validates that all transitions in Markov tasks point to existing Markov tasks. This function checks two conditions for each transition:

Method that returns the time (in seconds) between the execution of tasks. Example:: from locust import TaskSet, between

Modify a Response object in-place, for efficiency reasons

User creates assets as fast as possible