MediaGibbs

class psynet.trial.media_gibbs.AudioGibbsNetwork(*args, **kwargs)[source]

Bases: MediaGibbsNetwork

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

full

Whether the network is currently full

id

a unique number for every entry. 1, 2, 3 and so on…

max_size

How big the network can get, this number is used by the full() method to decide whether the network is full

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

role

The role of the network. By default dallinger initializes all networks as either “practice” or “experiment”

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to “network”. This allows subclassing.

vars
class psynet.trial.media_gibbs.AudioGibbsNode(*args, **kwargs)[source]

Bases: MediaGibbsNode

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the node is in

network_id

the id of the network that this node is a part of

participant

the participant the node is associated with

participant_id

the id of the participant whose node this is

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to node. This allows subclassing.

vars
class psynet.trial.media_gibbs.AudioGibbsTrial(*args, **kwargs)[source]

Bases: MediaGibbsTrial

complete

whether the info is ‘complete’, i.e. has received its contents

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the info is in

network_id

the id of the network the info is in

origin

the Node that created the info.

origin_id

the id of the Node that created the info

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

show_trial(experiment, participant)[source]

Returns a Page object, or alternatively a list of such objects, that solicits an answer from the participant.

Parameters:
time_of_death

the time at which failing occurred

type

a String giving the name of the class. Defaults to “info”. This allows subclassing.

vars
class psynet.trial.media_gibbs.AudioGibbsTrialMaker(*, id_, trial_class, node_class, network_class=None, chain_type, expected_trials_per_participant, max_trials_per_participant=<class 'psynet.utils.NoArgumentProvided'>, max_trials_per_block=None, max_nodes_per_chain=None, chains_per_participant=None, chains_per_experiment=None, trials_per_node=1, n_repeat_trials=0, target_n_participants=None, balance_across_chains=False, start_nodes=None, check_performance_at_end=False, check_performance_every_trial=False, recruit_mode='n_participants', fail_trials_on_premature_exit=False, fail_trials_on_participant_performance_check=False, propagate_failure=True, wait_for_networks=False, allow_revisiting_networks_in_across_chains=False, assets=None, choose_participant_group=None, sync_group_type=None, sync_group_max_wait_time=45.0)[source]

Bases: MediaGibbsTrialMaker

class psynet.trial.media_gibbs.HtmlGibbsNetwork(*args, **kwargs)[source]

Bases: MediaGibbsNetwork

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

full

Whether the network is currently full

id

a unique number for every entry. 1, 2, 3 and so on…

max_size

How big the network can get, this number is used by the full() method to decide whether the network is full

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

role

The role of the network. By default dallinger initializes all networks as either “practice” or “experiment”

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to “network”. This allows subclassing.

vars
class psynet.trial.media_gibbs.HtmlGibbsNode(*args, **kwargs)[source]

Bases: MediaGibbsNode

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the node is in

network_id

the id of the network that this node is a part of

participant

the participant the node is associated with

participant_id

the id of the participant whose node this is

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to node. This allows subclassing.

vars
class psynet.trial.media_gibbs.HtmlGibbsTrial(*args, **kwargs)[source]

Bases: MediaGibbsTrial

complete

whether the info is ‘complete’, i.e. has received its contents

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the info is in

network_id

the id of the network the info is in

origin

the Node that created the info.

origin_id

the id of the Node that created the info

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

show_trial(experiment, participant)[source]

Returns a Page object, or alternatively a list of such objects, that solicits an answer from the participant.

Parameters:
time_of_death

the time at which failing occurred

type

a String giving the name of the class. Defaults to “info”. This allows subclassing.

vars
class psynet.trial.media_gibbs.HtmlGibbsTrialMaker(*, id_, trial_class, node_class, network_class=None, chain_type, expected_trials_per_participant, max_trials_per_participant=<class 'psynet.utils.NoArgumentProvided'>, max_trials_per_block=None, max_nodes_per_chain=None, chains_per_participant=None, chains_per_experiment=None, trials_per_node=1, n_repeat_trials=0, target_n_participants=None, balance_across_chains=False, start_nodes=None, check_performance_at_end=False, check_performance_every_trial=False, recruit_mode='n_participants', fail_trials_on_premature_exit=False, fail_trials_on_participant_performance_check=False, propagate_failure=True, wait_for_networks=False, allow_revisiting_networks_in_across_chains=False, assets=None, choose_participant_group=None, sync_group_type=None, sync_group_max_wait_time=45.0)[source]

Bases: MediaGibbsTrialMaker

class psynet.trial.media_gibbs.ImageGibbsNetwork(*args, **kwargs)[source]

Bases: MediaGibbsNetwork

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

full

Whether the network is currently full

id

a unique number for every entry. 1, 2, 3 and so on…

max_size

How big the network can get, this number is used by the full() method to decide whether the network is full

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

role

The role of the network. By default dallinger initializes all networks as either “practice” or “experiment”

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to “network”. This allows subclassing.

vars
class psynet.trial.media_gibbs.ImageGibbsNode(*args, **kwargs)[source]

Bases: MediaGibbsNode

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the node is in

network_id

the id of the network that this node is a part of

participant

the participant the node is associated with

participant_id

the id of the participant whose node this is

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to node. This allows subclassing.

vars
class psynet.trial.media_gibbs.ImageGibbsTrial(*args, **kwargs)[source]

Bases: MediaGibbsTrial

complete

whether the info is ‘complete’, i.e. has received its contents

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the info is in

network_id

the id of the network the info is in

origin

the Node that created the info.

origin_id

the id of the Node that created the info

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

show_trial(experiment, participant)[source]

Returns a Page object, or alternatively a list of such objects, that solicits an answer from the participant.

Parameters:
time_of_death

the time at which failing occurred

type

a String giving the name of the class. Defaults to “info”. This allows subclassing.

vars
class psynet.trial.media_gibbs.ImageGibbsTrialMaker(*, id_, trial_class, node_class, network_class=None, chain_type, expected_trials_per_participant, max_trials_per_participant=<class 'psynet.utils.NoArgumentProvided'>, max_trials_per_block=None, max_nodes_per_chain=None, chains_per_participant=None, chains_per_experiment=None, trials_per_node=1, n_repeat_trials=0, target_n_participants=None, balance_across_chains=False, start_nodes=None, check_performance_at_end=False, check_performance_every_trial=False, recruit_mode='n_participants', fail_trials_on_premature_exit=False, fail_trials_on_participant_performance_check=False, propagate_failure=True, wait_for_networks=False, allow_revisiting_networks_in_across_chains=False, assets=None, choose_participant_group=None, sync_group_type=None, sync_group_max_wait_time=45.0)[source]

Bases: MediaGibbsTrialMaker

class psynet.trial.media_gibbs.MediaGibbsNetwork(*args, **kwargs)[source]

Bases: GibbsNetwork

A Network class for Media Gibbs Sampler chains. The user should customise this by overriding the attributes synth_function_location, vector_length, vector_ranges, and optionally granularity, n_jobs. The user is also invited to override the psynet.trial.chain.ChainNetwork.make_definition() method in situations where different chains are to have different properties (e.g. different prompts).

synth_function_location

A dictionary specifying the function to use for synthesising stimuli. The dictionary should contain two arguments: one named "module_name", which identifies by name the module in which the function is contained, and one named "function_name", corresponding to the name of the function within that module. The synthesis function should take three arguments:

  • vector, the parameter vector for the stimulus to be generated.

  • output_path, the output path for the media file to be generated.

  • chain_definition, the context dictionary for the current chain.

Type:

dict

s3_bucket

Name of the S3 bucket in which the stimuli should be stored. The same bucket can be reused between experiments, the UUID system used to generate file names should keep them unique.

Type:

str

vector_length

Must be overridden with the length of the free parameter vector that is manipulated during the Gibbs sampling procedure.

Type:

int

vector_ranges

Must be overridden with a list with length equal to vector_length.

Type:

list

n_jobs

Integer indicating how many parallel processes should be used by an individual worker node when generating the stimuli. Note that the final number of parallel processes may be considerably more than this; suppose 4 networks are generating stimuli at the same time, and we have 3 worker nodes, then the effective number of parallel processes will be 3 x 3 = 9. Default is 1, corresponding to no parallelization.

Type:

int

granularity

When a new MediaGibbsNode is created, a collection of stimuli are generated that span a given dimension of the parameter vector. If granularity is an integer, then this integer sets the number of stimuli that are generated, and the stimuli will be spaced evenly across the closed interval defined by the corresponding element of vector_ranges. If granularity is equal to "custom", then the spacing of the stimuli is instead determined by the media generation function.

Type:

Union[int, str]

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

full

Whether the network is currently full

id

a unique number for every entry. 1, 2, 3 and so on…

max_size

How big the network can get, this number is used by the full() method to decide whether the network is full

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

role

The role of the network. By default dallinger initializes all networks as either “practice” or “experiment”

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to “network”. This allows subclassing.

vars
class psynet.trial.media_gibbs.MediaGibbsNode(*args, **kwargs)[source]

Bases: GibbsNode

A Node class for Media Gibbs sampler chains. The user should not have to modify this.

async_on_deploy()[source]

Called when the node is deployed to the remote server. This includes both deploying nodes from the local machine to the remote machine (e.g. when we have static stimuli that are preregistered in the database) and creating new nodes on the remote machine (e.g. when we have a chain experiment).

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the node is in

network_id

the id of the network that this node is a part of

participant

the participant the node is associated with

participant_id

the id of the participant whose node this is

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

random_sample(i)[source]

(Abstract method, to be overridden) Randomly samples a new value for the ith element of the free parameter vector. This is used for initialising the participant’s response options.

Parameters:

i – The index of the element that is being resampled.

Returns:

  • float – The new parameter value.

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to node. This allows subclassing.

vars
class psynet.trial.media_gibbs.MediaGibbsTrial(*args, **kwargs)[source]

Bases: GibbsTrial

A Trial class for Media Gibbs Sampler chains. The user should customise this by overriding the get_prompt() method. The user must also specify a time estimate by overriding the time_estimate class attribute. The user is also invited to override the snap_slider, autoplay, and minimal_interactions attributes.

snap_slider

If True, the slider snaps to the location corresponding to the closest available media stimulus. If False (default), continuous values are permitted.

Type:

bool

snap_slider_before_release

If True, the slider snaps to the closest stimulus before release rather than after release. This option is only available if the stimuli are equally spaced.

Type:

bool

autoplay

If True, a media corresponding to the initial location on the slider will play as soon as the slider is ready for interactions. If False (default), the sound only plays once the participant first moves the slider.

Type:

bool

disable_while_playing

If True, the slider is disabled while the media is playing. Default: False.

Deprecated since version 11.0.0: Use disable_slider_on_change instead.

Type:

bool

disable_slider_on_change

  • <float>: Duration for which the media slider should be disabled after its value changed, in seconds.

  • "while_playing": The slider will be disabled after a value change, as long as the related media is playing.

  • "never": The slider will not be disabled after a value change.

Default: never.

minimal_interactions

Minimal interactions with the slider before the user can go to next trial.

Type:

int : default: 3

minimal_time

Minimal amount of time that the user must spend on the page before they can proceed to the next trial.

Type:

float : default: 3.0

continuous_updates

If True, then the slider continuously calls slider-update events when it is dragged, rather than just when it is released. In this case the log is disabled. Default: False.

debug

If True, then the page displays debugging information about the current trial. If False (default), no information is displayed. Override this to enable behaviour.

Type:

bool

input_type

Defaults to “HTML5_range_slider”, which gives a standard horizontal slider. The other option currently is “circular_slider”, which gives a circular slider.

random_wrap

Defaults to False. If True then slider is wrapped twice so that there are no boundary jumps.

complete

whether the info is ‘complete’, i.e. has received its contents

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

get_prompt(experiment, participant)[source]

Constructs and returns the prompt to display to the participant. This can either be a string of text to display, or raw HTML. In the latter case, the HTML should be wrapped in a call to markupsafe.Markup.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the info is in

network_id

the id of the network the info is in

origin

the Node that created the info.

origin_id

the id of the Node that created the info

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

show_trial(experiment, participant)[source]

Returns a Page object, or alternatively a list of such objects, that solicits an answer from the participant.

Parameters:
time_of_death

the time at which failing occurred

type

a String giving the name of the class. Defaults to “info”. This allows subclassing.

vars
class psynet.trial.media_gibbs.MediaGibbsTrialMaker(*, id_, trial_class, node_class, network_class=None, chain_type, expected_trials_per_participant, max_trials_per_participant=<class 'psynet.utils.NoArgumentProvided'>, max_trials_per_block=None, max_nodes_per_chain=None, chains_per_participant=None, chains_per_experiment=None, trials_per_node=1, n_repeat_trials=0, target_n_participants=None, balance_across_chains=False, start_nodes=None, check_performance_at_end=False, check_performance_every_trial=False, recruit_mode='n_participants', fail_trials_on_premature_exit=False, fail_trials_on_participant_performance_check=False, propagate_failure=True, wait_for_networks=False, allow_revisiting_networks_in_across_chains=False, assets=None, choose_participant_group=None, sync_group_type=None, sync_group_max_wait_time=45.0)[source]

Bases: GibbsTrialMaker

class psynet.trial.media_gibbs.VideoGibbsNetwork(*args, **kwargs)[source]

Bases: MediaGibbsNetwork

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

full

Whether the network is currently full

id

a unique number for every entry. 1, 2, 3 and so on…

max_size

How big the network can get, this number is used by the full() method to decide whether the network is full

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

role

The role of the network. By default dallinger initializes all networks as either “practice” or “experiment”

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to “network”. This allows subclassing.

vars
class psynet.trial.media_gibbs.VideoGibbsNode(*args, **kwargs)[source]

Bases: MediaGibbsNode

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the node is in

network_id

the id of the network that this node is a part of

participant

the participant the node is associated with

participant_id

the id of the participant whose node this is

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

time_of_death

the time at which failing occurred

type

A String giving the name of the class. Defaults to node. This allows subclassing.

vars
class psynet.trial.media_gibbs.VideoGibbsTrial(*args, **kwargs)[source]

Bases: MediaGibbsTrial

complete

whether the info is ‘complete’, i.e. has received its contents

creation_time

the time at which the Network was created.

details

a generic column for storing structured JSON data

failed

boolean indicating whether the Network has failed which prompts Dallinger to ignore it unless specified otherwise. Objects are usually failed to indicate something has gone wrong.

failed_reason

an optional reason the object was failed. If the object is failed as part of a cascading failure triggered from another object, the chain of objects will be captured in this field.

id

a unique number for every entry. 1, 2, 3 and so on…

network

the network the info is in

network_id

the id of the network the info is in

origin

the Node that created the info.

origin_id

the id of the Node that created the info

property1

a generic column that can be used to store experiment-specific details in String form.

property2

a generic column that can be used to store experiment-specific details in String form.

property3

a generic column that can be used to store experiment-specific details in String form.

property4

a generic column that can be used to store experiment-specific details in String form.

property5

a generic column that can be used to store experiment-specific details in String form.

show_trial(experiment, participant)[source]

Returns a Page object, or alternatively a list of such objects, that solicits an answer from the participant.

Parameters:
time_of_death

the time at which failing occurred

type

a String giving the name of the class. Defaults to “info”. This allows subclassing.

vars
class psynet.trial.media_gibbs.VideoGibbsTrialMaker(*, id_, trial_class, node_class, network_class=None, chain_type, expected_trials_per_participant, max_trials_per_participant=<class 'psynet.utils.NoArgumentProvided'>, max_trials_per_block=None, max_nodes_per_chain=None, chains_per_participant=None, chains_per_experiment=None, trials_per_node=1, n_repeat_trials=0, target_n_participants=None, balance_across_chains=False, start_nodes=None, check_performance_at_end=False, check_performance_every_trial=False, recruit_mode='n_participants', fail_trials_on_premature_exit=False, fail_trials_on_participant_performance_check=False, propagate_failure=True, wait_for_networks=False, allow_revisiting_networks_in_across_chains=False, assets=None, choose_participant_group=None, sync_group_type=None, sync_group_max_wait_time=45.0)[source]

Bases: MediaGibbsTrialMaker