pyslurmutils.client.rest.api.v0_0_41.AllModels#

class pyslurmutils.client.rest.api.v0_0_41.AllModels(**data)[source]#

Bases: BaseModel

Parameters:

data (Any)

classmethod construct(_fields_set=None, **values)#
copy(*, include=None, exclude=None, update=None, deep=False)#

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`python {test="skip" lint="skip"} data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Args:

include: Optional set or mapping specifying which fields to include in the copied model. exclude: Optional set or mapping specifying which fields to exclude in the copied model. update: Optional dictionary of field-value pairs to override field values in the copied model. deep: If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)#
classmethod from_orm(obj)#
Parameters:

obj (Any)

Return type:

Self

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)#
model0: PostPathSlurmJobSubmit#
model1: PostQuerySlurmJobSubmit#
model10: JobDescMsgRlimitsRss#
model100: OpenapiJobInfoRespJobsItemTimeMinimum#
model101: OpenapiJobInfoRespJobsItemThreadsPerCore#
model102: OpenapiJobInfoRespJobsItem#
model103: OpenapiJobInfoRespLastBackfill#
model104: OpenapiJobInfoRespLastUpdate#
model105: OpenapiJobInfoRespMetaPlugin#
model106: OpenapiJobInfoRespMetaClient#
model107: OpenapiJobInfoRespMetaSlurmVersion#
model108: OpenapiJobInfoRespMetaSlurm#
model109: OpenapiJobInfoRespMeta#
model11: JobDescMsgRlimitsNproc#
model110: OpenapiJobInfoRespErrorsItem#
model111: OpenapiJobInfoRespWarningsItem#
model112: OpenapiJobInfoResp#
model113: GetResponse200SlurmJobJobid#
model114: GetResponseDefaultSlurmJobJobid#
model115: DeletePathSlurmJobJobid#
model116: DeleteQuerySlurmJobJobid#
model117: DeleteBodySlurmJobJobid#
model118: OpenapiRespMetaPlugin#
model119: OpenapiRespMetaClient#
model12: JobDescMsgRlimitsNofile#
model120: OpenapiRespMetaSlurmVersion#
model121: OpenapiRespMetaSlurm#
model122: OpenapiRespMeta#
model123: OpenapiRespErrorsItem#
model124: OpenapiRespWarningsItem#
model125: OpenapiResp#
model126: DeleteResponse200SlurmJobJobid#
model127: DeleteResponseDefaultSlurmJobJobid#
model128: GetPathSlurmJobs#
model129: GetQuerySlurmJobs#
model13: JobDescMsgRlimitsMemlock#
model130: GetBodySlurmJobs#
model131: GetResponse200SlurmJobs#
model132: GetResponseDefaultSlurmJobs#
model14: JobDescMsgRlimitsAs#
model15: JobDescMsgRlimits#
model16: JobDescMsgDistributionPlaneSize#
model17: JobDescMsgPriority#
model18: JobDescMsgTimeLimit#
model19: JobDescMsgTimeMinimum#
model2: JobDescMsgBeginTime#
model20: JobDescMsgKillWarningDelay#
model21: JobDescMsgMemoryPerCpu#
model22: JobDescMsgMemoryPerNode#
model23: JobDescMsgRequiredSwitches#
model24: JobDescMsgSegmentSize#
model25: JobDescMsg#
model26: JobSubmitReq#
model27: PostBodySlurmJobSubmit#
model28: OpenapiJobSubmitResponseResult#
model29: OpenapiJobSubmitResponseMetaPlugin#
model3: JobDescMsgCrontabLine#
model30: OpenapiJobSubmitResponseMetaClient#
model31: OpenapiJobSubmitResponseMetaSlurmVersion#
model32: OpenapiJobSubmitResponseMetaSlurm#
model33: OpenapiJobSubmitResponseMeta#
model34: OpenapiJobSubmitResponseErrorsItem#
model35: OpenapiJobSubmitResponseWarningsItem#
model36: OpenapiJobSubmitResponse#
model37: PostResponse200SlurmJobSubmit#
model38: PostResponseDefaultSlurmJobSubmit#
model39: GetPathSlurmJobJobid#
model4: JobDescMsgCrontab#
model40: GetQuerySlurmJobJobid#
model41: GetBodySlurmJobJobid#
model42: OpenapiJobInfoRespJobsItemAccrueTime#
model43: OpenapiJobInfoRespJobsItemArrayJobId#
model44: OpenapiJobInfoRespJobsItemArrayTaskId#
model45: OpenapiJobInfoRespJobsItemArrayMaxTasks#
model46: OpenapiJobInfoRespJobsItemCoresPerSocket#
model47: OpenapiJobInfoRespJobsItemBillableTres#
model48: OpenapiJobInfoRespJobsItemCpusPerTask#
model49: OpenapiJobInfoRespJobsItemCpuFrequencyMinimum#
model5: JobDescMsgRlimitsCpu#
model50: OpenapiJobInfoRespJobsItemCpuFrequencyMaximum#
model51: OpenapiJobInfoRespJobsItemCpuFrequencyGovernor#
model52: OpenapiJobInfoRespJobsItemDeadline#
model53: OpenapiJobInfoRespJobsItemDelayBoot#
model54: OpenapiJobInfoRespJobsItemDerivedExitCodeReturnCode#
model55: OpenapiJobInfoRespJobsItemDerivedExitCodeSignalId#
model56: OpenapiJobInfoRespJobsItemDerivedExitCodeSignal#
model57: OpenapiJobInfoRespJobsItemDerivedExitCode#
model58: OpenapiJobInfoRespJobsItemEligibleTime#
model59: OpenapiJobInfoRespJobsItemEndTime#
model6: JobDescMsgRlimitsFsize#
model60: OpenapiJobInfoRespJobsItemExitCodeReturnCode#
model61: OpenapiJobInfoRespJobsItemExitCodeSignalId#
model62: OpenapiJobInfoRespJobsItemExitCodeSignal#
model63: OpenapiJobInfoRespJobsItemExitCode#
model64: OpenapiJobInfoRespJobsItemHetJobId#
model65: OpenapiJobInfoRespJobsItemHetJobOffset#
model66: OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemCpus#
model67: OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemMemory#
model68: OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemSocketsItemCoresItem#
model69: OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemSocketsItem#
model7: JobDescMsgRlimitsData#
model70: OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItem#
model71: OpenapiJobInfoRespJobsItemJobResourcesNodes#
model72: OpenapiJobInfoRespJobsItemJobResourcesThreadsPerCore#
model73: OpenapiJobInfoRespJobsItemJobResources#
model74: OpenapiJobInfoRespJobsItemLastSchedEvaluation#
model75: OpenapiJobInfoRespJobsItemMaxCpus#
model76: OpenapiJobInfoRespJobsItemMaxNodes#
model77: OpenapiJobInfoRespJobsItemTasksPerCore#
model78: OpenapiJobInfoRespJobsItemTasksPerTres#
model79: OpenapiJobInfoRespJobsItemTasksPerNode#
model8: JobDescMsgRlimitsStack#
model80: OpenapiJobInfoRespJobsItemTasksPerSocket#
model81: OpenapiJobInfoRespJobsItemTasksPerBoard#
model82: OpenapiJobInfoRespJobsItemCpus#
model83: OpenapiJobInfoRespJobsItemNodeCount#
model84: OpenapiJobInfoRespJobsItemTasks#
model85: OpenapiJobInfoRespJobsItemMemoryPerCpu#
model86: OpenapiJobInfoRespJobsItemMemoryPerNode#
model87: OpenapiJobInfoRespJobsItemMinimumCpusPerNode#
model88: OpenapiJobInfoRespJobsItemMinimumTmpDiskPerNode#
model89: OpenapiJobInfoRespJobsItemPower#
model9: JobDescMsgRlimitsCore#
model90: OpenapiJobInfoRespJobsItemPreemptTime#
model91: OpenapiJobInfoRespJobsItemPreemptableTime#
model92: OpenapiJobInfoRespJobsItemPreSusTime#
model93: OpenapiJobInfoRespJobsItemPriority#
model94: OpenapiJobInfoRespJobsItemResizeTime#
model95: OpenapiJobInfoRespJobsItemSocketsPerNode#
model96: OpenapiJobInfoRespJobsItemStartTime#
model97: OpenapiJobInfoRespJobsItemSubmitTime#
model98: OpenapiJobInfoRespJobsItemSuspendTime#
model99: OpenapiJobInfoRespJobsItemTimeLimit#
model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}#
model_config: ClassVar[ConfigDict] = {}#

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)#

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == ‘allow’, then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == ‘ignore’ (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == ‘forbid’ does not result in an error if extra values are passed, but they will be ignored.

Args:
_fields_set: A set of field names that were originally explicitly set during instantiation. If provided,

this is directly used for the [model_fields_set][pydantic.BaseModel.model_fields_set] attribute. Otherwise, the field names from the values argument will be used.

values: Trusted or pre-validated data dictionary.

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)#

Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy

Returns a copy of the model.

Args:
update: Values to change/add in the new model. Note: the data is not validated

before creating the new model. You should trust this data.

deep: Set to True to make a deep copy of the model.

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)#

Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Args:
mode: The mode in which to_python should run.

If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

include: A set of fields to include in the output. exclude: A set of fields to exclude from the output. context: Additional context to pass to the serializer. by_alias: Whether to use the field’s alias in the dictionary key if defined. exclude_unset: Whether to exclude fields that have not been explicitly set. exclude_defaults: Whether to exclude fields that are set to their default value. exclude_none: Whether to exclude fields that have a value of None. round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T]. warnings: How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors,

“error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)#

Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Args:

indent: Indentation to use in the JSON output. If None is passed, the output will be compact. include: Field(s) to include in the JSON output. exclude: Field(s) to exclude from the JSON output. context: Additional context to pass to the serializer. by_alias: Whether to serialize using field aliases. exclude_unset: Whether to exclude fields that have not been explicitly set. exclude_defaults: Whether to exclude fields that are set to their default value. exclude_none: Whether to exclude fields that have a value of None. round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T]. warnings: How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors,

“error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.

Returns:

A JSON string representation of the model.

property model_extra#

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to “allow”.

model_fields: ClassVar[dict[str, FieldInfo]] = {'model0': FieldInfo(annotation=PostPathSlurmJobSubmit, required=True, title='POST /slurm/v0.0.41/job/submit: path parameters'), 'model1': FieldInfo(annotation=PostQuerySlurmJobSubmit, required=True, title='POST /slurm/v0.0.41/job/submit: query parameters'), 'model10': FieldInfo(annotation=JobDescMsgRlimitsRss, required=True, title='Largest resident set size, in bytes. This affects swapping; processes that are exceeding their resident set size will be more likely to have physical memory taken from them.'), 'model100': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTimeMinimum, required=True, title='Minimum run time in minutes'), 'model101': FieldInfo(annotation=OpenapiJobInfoRespJobsItemThreadsPerCore, required=True, title='Number of processor threads per CPU core required'), 'model102': FieldInfo(annotation=OpenapiJobInfoRespJobsItem, required=True, title='Openapi job info resp jobs item'), 'model103': FieldInfo(annotation=OpenapiJobInfoRespLastBackfill, required=True, title='Time of last backfill scheduler run (UNIX timestamp)'), 'model104': FieldInfo(annotation=OpenapiJobInfoRespLastUpdate, required=True, title='Time of last job change (UNIX timestamp)'), 'model105': FieldInfo(annotation=OpenapiJobInfoRespMetaPlugin, required=True, title='Openapi job info resp meta plugin'), 'model106': FieldInfo(annotation=OpenapiJobInfoRespMetaClient, required=True, title='Openapi job info resp meta client'), 'model107': FieldInfo(annotation=OpenapiJobInfoRespMetaSlurmVersion, required=True, title='Openapi job info resp meta slurm version'), 'model108': FieldInfo(annotation=OpenapiJobInfoRespMetaSlurm, required=True, title='Openapi job info resp meta slurm'), 'model109': FieldInfo(annotation=OpenapiJobInfoRespMeta, required=True, title='Slurm meta values'), 'model11': FieldInfo(annotation=JobDescMsgRlimitsNproc, required=True, title='Number of processes.'), 'model110': FieldInfo(annotation=OpenapiJobInfoRespErrorsItem, required=True, title='Openapi job info resp errors item'), 'model111': FieldInfo(annotation=OpenapiJobInfoRespWarningsItem, required=True, title='Openapi job info resp warnings item'), 'model112': FieldInfo(annotation=OpenapiJobInfoResp, required=True, title='Openapi job info resp'), 'model113': FieldInfo(annotation=GetResponse200SlurmJobJobid, required=True, title='job(s) information'), 'model114': FieldInfo(annotation=GetResponseDefaultSlurmJobJobid, required=True, title='job(s) information'), 'model115': FieldInfo(annotation=DeletePathSlurmJobJobid, required=True, title='DELETE /slurm/v0.0.41/job/{job_id}: path parameters'), 'model116': FieldInfo(annotation=DeleteQuerySlurmJobJobid, required=True, title='DELETE /slurm/v0.0.41/job/{job_id}: query parameters'), 'model117': FieldInfo(annotation=DeleteBodySlurmJobJobid, required=True, title='DELETE /slurm/v0.0.41/job/{job_id}: body'), 'model118': FieldInfo(annotation=OpenapiRespMetaPlugin, required=True, title='Openapi resp meta plugin'), 'model119': FieldInfo(annotation=OpenapiRespMetaClient, required=True, title='Openapi resp meta client'), 'model12': FieldInfo(annotation=JobDescMsgRlimitsNofile, required=True, title='Number of open files.'), 'model120': FieldInfo(annotation=OpenapiRespMetaSlurmVersion, required=True, title='Openapi resp meta slurm version'), 'model121': FieldInfo(annotation=OpenapiRespMetaSlurm, required=True, title='Openapi resp meta slurm'), 'model122': FieldInfo(annotation=OpenapiRespMeta, required=True, title='Slurm meta values'), 'model123': FieldInfo(annotation=OpenapiRespErrorsItem, required=True, title='Openapi resp errors item'), 'model124': FieldInfo(annotation=OpenapiRespWarningsItem, required=True, title='Openapi resp warnings item'), 'model125': FieldInfo(annotation=OpenapiResp, required=True, title='Openapi resp'), 'model126': FieldInfo(annotation=DeleteResponse200SlurmJobJobid, required=True, title='job signal result'), 'model127': FieldInfo(annotation=DeleteResponseDefaultSlurmJobJobid, required=True, title='job signal result'), 'model128': FieldInfo(annotation=GetPathSlurmJobs, required=True, title='GET /slurm/v0.0.41/jobs: path parameters'), 'model129': FieldInfo(annotation=GetQuerySlurmJobs, required=True, title='GET /slurm/v0.0.41/jobs: query parameters'), 'model13': FieldInfo(annotation=JobDescMsgRlimitsMemlock, required=True, title='Locked-in-memory address space'), 'model130': FieldInfo(annotation=GetBodySlurmJobs, required=True, title='GET /slurm/v0.0.41/jobs: body'), 'model131': FieldInfo(annotation=GetResponse200SlurmJobs, required=True, title='job(s) information'), 'model132': FieldInfo(annotation=GetResponseDefaultSlurmJobs, required=True, title='job(s) information'), 'model14': FieldInfo(annotation=JobDescMsgRlimitsAs, required=True, title='Address space limit.'), 'model15': FieldInfo(annotation=JobDescMsgRlimits, required=True, title='Job desc msg rlimits'), 'model16': FieldInfo(annotation=JobDescMsgDistributionPlaneSize, required=True, title='Plane size specification when distribution specifies plane'), 'model17': FieldInfo(annotation=JobDescMsgPriority, required=True, title='Request specific job priority'), 'model18': FieldInfo(annotation=JobDescMsgTimeLimit, required=True, title='Maximum run time in minutes'), 'model19': FieldInfo(annotation=JobDescMsgTimeMinimum, required=True, title='Minimum run time in minutes'), 'model2': FieldInfo(annotation=JobDescMsgBeginTime, required=True, title='Defer the allocation of the job until the specified time (UNIX timestamp)'), 'model20': FieldInfo(annotation=JobDescMsgKillWarningDelay, required=True, title='Number of seconds before end time to send the warning signal'), 'model21': FieldInfo(annotation=JobDescMsgMemoryPerCpu, required=True, title='Minimum memory in megabytes per allocated CPU'), 'model22': FieldInfo(annotation=JobDescMsgMemoryPerNode, required=True, title='Minimum memory in megabytes per allocated CPU'), 'model23': FieldInfo(annotation=JobDescMsgRequiredSwitches, required=True, title='Maximum number of switches'), 'model24': FieldInfo(annotation=JobDescMsgSegmentSize, required=True, title='Segment size for topology/block'), 'model25': FieldInfo(annotation=JobDescMsg, required=True, title='Job desc msg'), 'model26': FieldInfo(annotation=JobSubmitReq, required=True, title='Job submit req'), 'model27': FieldInfo(annotation=PostBodySlurmJobSubmit, required=True, title='Job description'), 'model28': FieldInfo(annotation=OpenapiJobSubmitResponseResult, required=True, title='Job submission'), 'model29': FieldInfo(annotation=OpenapiJobSubmitResponseMetaPlugin, required=True, title='Openapi job submit response meta plugin'), 'model3': FieldInfo(annotation=JobDescMsgCrontabLine, required=True, title='Job desc msg crontab line'), 'model30': FieldInfo(annotation=OpenapiJobSubmitResponseMetaClient, required=True, title='Openapi job submit response meta client'), 'model31': FieldInfo(annotation=OpenapiJobSubmitResponseMetaSlurmVersion, required=True, title='Openapi job submit response meta slurm version'), 'model32': FieldInfo(annotation=OpenapiJobSubmitResponseMetaSlurm, required=True, title='Openapi job submit response meta slurm'), 'model33': FieldInfo(annotation=OpenapiJobSubmitResponseMeta, required=True, title='Slurm meta values'), 'model34': FieldInfo(annotation=OpenapiJobSubmitResponseErrorsItem, required=True, title='Openapi job submit response errors item'), 'model35': FieldInfo(annotation=OpenapiJobSubmitResponseWarningsItem, required=True, title='Openapi job submit response warnings item'), 'model36': FieldInfo(annotation=OpenapiJobSubmitResponse, required=True, title='Openapi job submit response'), 'model37': FieldInfo(annotation=PostResponse200SlurmJobSubmit, required=True, title='job submission response'), 'model38': FieldInfo(annotation=PostResponseDefaultSlurmJobSubmit, required=True, title='job submission response'), 'model39': FieldInfo(annotation=GetPathSlurmJobJobid, required=True, title='GET /slurm/v0.0.41/job/{job_id}: path parameters'), 'model4': FieldInfo(annotation=JobDescMsgCrontab, required=True, title='Specification for scrontab job'), 'model40': FieldInfo(annotation=GetQuerySlurmJobJobid, required=True, title='GET /slurm/v0.0.41/job/{job_id}: query parameters'), 'model41': FieldInfo(annotation=GetBodySlurmJobJobid, required=True, title='GET /slurm/v0.0.41/job/{job_id}: body'), 'model42': FieldInfo(annotation=OpenapiJobInfoRespJobsItemAccrueTime, required=True, title='When the job started accruing age priority (UNIX timestamp)'), 'model43': FieldInfo(annotation=OpenapiJobInfoRespJobsItemArrayJobId, required=True, title='Job ID of job array, or 0 if N/A'), 'model44': FieldInfo(annotation=OpenapiJobInfoRespJobsItemArrayTaskId, required=True, title='Task ID of this task in job array'), 'model45': FieldInfo(annotation=OpenapiJobInfoRespJobsItemArrayMaxTasks, required=True, title='Maximum number of simultaneously running array tasks, 0 if no limit'), 'model46': FieldInfo(annotation=OpenapiJobInfoRespJobsItemCoresPerSocket, required=True, title='Cores per socket required'), 'model47': FieldInfo(annotation=OpenapiJobInfoRespJobsItemBillableTres, required=True, title='Billable TRES'), 'model48': FieldInfo(annotation=OpenapiJobInfoRespJobsItemCpusPerTask, required=True, title='Number of CPUs required by each task'), 'model49': FieldInfo(annotation=OpenapiJobInfoRespJobsItemCpuFrequencyMinimum, required=True, title='Minimum CPU frequency'), 'model5': FieldInfo(annotation=JobDescMsgRlimitsCpu, required=True, title='Per-process CPU limit, in seconds.'), 'model50': FieldInfo(annotation=OpenapiJobInfoRespJobsItemCpuFrequencyMaximum, required=True, title='Maximum CPU frequency'), 'model51': FieldInfo(annotation=OpenapiJobInfoRespJobsItemCpuFrequencyGovernor, required=True, title='CPU frequency governor'), 'model52': FieldInfo(annotation=OpenapiJobInfoRespJobsItemDeadline, required=True, title='Latest time that the job may start (UNIX timestamp)'), 'model53': FieldInfo(annotation=OpenapiJobInfoRespJobsItemDelayBoot, required=True, title='Number of seconds after job eligible start that nodes will be rebooted to satisfy feature specification'), 'model54': FieldInfo(annotation=OpenapiJobInfoRespJobsItemDerivedExitCodeReturnCode, required=True, title='Process return code (numeric)'), 'model55': FieldInfo(annotation=OpenapiJobInfoRespJobsItemDerivedExitCodeSignalId, required=True, title='Signal sent to process (numeric)'), 'model56': FieldInfo(annotation=OpenapiJobInfoRespJobsItemDerivedExitCodeSignal, required=True, title='Openapi job info resp jobs item derived exit code signal'), 'model57': FieldInfo(annotation=OpenapiJobInfoRespJobsItemDerivedExitCode, required=True, title='Highest exit code of all job steps'), 'model58': FieldInfo(annotation=OpenapiJobInfoRespJobsItemEligibleTime, required=True, title='Time when the job became eligible to run (UNIX timestamp)'), 'model59': FieldInfo(annotation=OpenapiJobInfoRespJobsItemEndTime, required=True, title='End time, real or expected (UNIX timestamp)'), 'model6': FieldInfo(annotation=JobDescMsgRlimitsFsize, required=True, title='Largest file that can be created, in bytes.'), 'model60': FieldInfo(annotation=OpenapiJobInfoRespJobsItemExitCodeReturnCode, required=True, title='Process return code (numeric)'), 'model61': FieldInfo(annotation=OpenapiJobInfoRespJobsItemExitCodeSignalId, required=True, title='Signal sent to process (numeric)'), 'model62': FieldInfo(annotation=OpenapiJobInfoRespJobsItemExitCodeSignal, required=True, title='Openapi job info resp jobs item exit code signal'), 'model63': FieldInfo(annotation=OpenapiJobInfoRespJobsItemExitCode, required=True, title='Exit code of the job'), 'model64': FieldInfo(annotation=OpenapiJobInfoRespJobsItemHetJobId, required=True, title='Heterogeneous job ID, if applicable'), 'model65': FieldInfo(annotation=OpenapiJobInfoRespJobsItemHetJobOffset, required=True, title='Unique sequence number applied to this component of the heterogeneous job'), 'model66': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemCpus, required=True, title='Openapi job info resp jobs item job resources nodes allocation item cpus'), 'model67': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemMemory, required=True, title='Openapi job info resp jobs item job resources nodes allocation item memory'), 'model68': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemSocketsItemCoresItem, required=True, title='Openapi job info resp jobs item job resources nodes allocation item sockets item cores item'), 'model69': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItemSocketsItem, required=True, title='Openapi job info resp jobs item job resources nodes allocation item sockets item'), 'model7': FieldInfo(annotation=JobDescMsgRlimitsData, required=True, title='Maximum size of data segment, in bytes. '), 'model70': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResourcesNodesAllocationItem, required=True, title='Job resources for a node'), 'model71': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResourcesNodes, required=True, title='Openapi job info resp jobs item job resources nodes'), 'model72': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResourcesThreadsPerCore, required=True, title='Number of processor threads per CPU core'), 'model73': FieldInfo(annotation=OpenapiJobInfoRespJobsItemJobResources, required=True, title='Resources used by the job'), 'model74': FieldInfo(annotation=OpenapiJobInfoRespJobsItemLastSchedEvaluation, required=True, title='Last time job was evaluated for scheduling (UNIX timestamp)'), 'model75': FieldInfo(annotation=OpenapiJobInfoRespJobsItemMaxCpus, required=True, title='Maximum number of CPUs usable by the job'), 'model76': FieldInfo(annotation=OpenapiJobInfoRespJobsItemMaxNodes, required=True, title='Maximum number of nodes usable by the job'), 'model77': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTasksPerCore, required=True, title='Number of tasks invoked on each core'), 'model78': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTasksPerTres, required=True, title='Number of tasks that can assess each GPU'), 'model79': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTasksPerNode, required=True, title='Number of tasks invoked on each node'), 'model8': FieldInfo(annotation=JobDescMsgRlimitsStack, required=True, title='Maximum size of stack segment, in bytes.'), 'model80': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTasksPerSocket, required=True, title='Number of tasks invoked on each socket'), 'model81': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTasksPerBoard, required=True, title='Number of tasks invoked on each board'), 'model82': FieldInfo(annotation=OpenapiJobInfoRespJobsItemCpus, required=True, title='Minimum number of CPUs required'), 'model83': FieldInfo(annotation=OpenapiJobInfoRespJobsItemNodeCount, required=True, title='Minimum number of nodes required'), 'model84': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTasks, required=True, title='Number of tasks'), 'model85': FieldInfo(annotation=OpenapiJobInfoRespJobsItemMemoryPerCpu, required=True, title='Minimum memory in megabytes per allocated CPU'), 'model86': FieldInfo(annotation=OpenapiJobInfoRespJobsItemMemoryPerNode, required=True, title='Minimum memory in megabytes per allocated node'), 'model87': FieldInfo(annotation=OpenapiJobInfoRespJobsItemMinimumCpusPerNode, required=True, title='Minimum number of CPUs per node'), 'model88': FieldInfo(annotation=OpenapiJobInfoRespJobsItemMinimumTmpDiskPerNode, required=True, title='Minimum tmp disk space required per node'), 'model89': FieldInfo(annotation=OpenapiJobInfoRespJobsItemPower, required=True, title='Openapi job info resp jobs item power'), 'model9': FieldInfo(annotation=JobDescMsgRlimitsCore, required=True, title='Largest core file that can be created, in bytes.'), 'model90': FieldInfo(annotation=OpenapiJobInfoRespJobsItemPreemptTime, required=True, title='Time job received preemption signal (UNIX timestamp)'), 'model91': FieldInfo(annotation=OpenapiJobInfoRespJobsItemPreemptableTime, required=True, title='Time job becomes eligible for preemption (UNIX timestamp)'), 'model92': FieldInfo(annotation=OpenapiJobInfoRespJobsItemPreSusTime, required=True, title='Total run time prior to last suspend in seconds'), 'model93': FieldInfo(annotation=OpenapiJobInfoRespJobsItemPriority, required=True, title='Request specific job priority'), 'model94': FieldInfo(annotation=OpenapiJobInfoRespJobsItemResizeTime, required=True, title='Time of last size change (UNIX timestamp)'), 'model95': FieldInfo(annotation=OpenapiJobInfoRespJobsItemSocketsPerNode, required=True, title='Number of sockets per node required'), 'model96': FieldInfo(annotation=OpenapiJobInfoRespJobsItemStartTime, required=True, title='Time execution began, or is expected to begin (UNIX timestamp)'), 'model97': FieldInfo(annotation=OpenapiJobInfoRespJobsItemSubmitTime, required=True, title='Time when the job was submitted (UNIX timestamp)'), 'model98': FieldInfo(annotation=OpenapiJobInfoRespJobsItemSuspendTime, required=True, title='Time the job was last suspended or resumed (UNIX timestamp)'), 'model99': FieldInfo(annotation=OpenapiJobInfoRespJobsItemTimeLimit, required=True, title='Maximum run time in minutes')}#
property model_fields_set: set[str]#

Returns the set of fields that have been explicitly set on this model instance.

Returns:
A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')#

Generates a JSON schema for a model class.

Args:

by_alias: Whether to use attribute aliases or not. ref_template: The reference template. schema_generator: To override the logic used to generate the JSON schema, as a subclass of

GenerateJsonSchema with your desired modifications

mode: The mode in which to generate the schema.

Returns:

The JSON schema for the given model class.

Parameters:
  • by_alias (bool)

  • ref_template (str)

  • schema_generator (type[GenerateJsonSchema])

  • mode (Literal['validation', 'serialization'])

Return type:

dict[str, Any]

classmethod model_parametrized_name(params)#

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Args:
params: Tuple of types of the class. Given a generic class

Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError: Raised when trying to generate concrete names for non-generic models.

Parameters:

params (tuple[type[Any], ...])

Return type:

str

model_post_init(_BaseModel__context)#

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Parameters:

_BaseModel__context (Any)

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)#

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Args:

force: Whether to force the rebuilding of the model schema, defaults to False. raise_errors: Whether to raise errors, defaults to True. _parent_namespace_depth: The depth level of the parent namespace, defaults to 2. _types_namespace: The types namespace, defaults to None.

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)#

Validate a pydantic model instance.

Args:

obj: The object to validate. strict: Whether to enforce types strictly. from_attributes: Whether to extract data from object attributes. context: Additional context to pass to the validator.

Raises:

ValidationError: If the object could not be validated.

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)#

Usage docs: https://docs.pydantic.dev/2.10/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Args:

json_data: The JSON data to validate. strict: Whether to enforce types strictly. context: Extra variables to pass to the validator.

Returns:

The validated Pydantic model.

Raises:

ValidationError: If json_data is not a JSON string or the object could not be validated.

classmethod model_validate_strings(obj, *, strict=None, context=None)#

Validate the given object with string data against the Pydantic model.

Args:

obj: The object containing string data to validate. strict: Whether to enforce types strictly. context: Extra variables to pass to the validator.

Returns:

The validated Pydantic model.

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)#
classmethod parse_obj(obj)#
Parameters:

obj (Any)

Return type:

Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)#
classmethod schema(by_alias=True, ref_template='#/$defs/{model}')#
Parameters:
  • by_alias (bool)

  • ref_template (str)

Return type:

Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)#
Parameters:
  • by_alias (bool)

  • ref_template (str)

  • dumps_kwargs (Any)

Return type:

str

classmethod update_forward_refs(**localns)#
Parameters:

localns (Any)

Return type:

None

classmethod validate(value)#
Parameters:

value (Any)

Return type:

Self