ڰj1\SrSSKJrJr S!S\S\S\\S\S\S \S \\S \\S \\S \\S\\S\\S\\S\\S\\S\\S\\S\\S\\S\\\S\\S\\S\\S\40SjjrS\S\4Sjr S\S \S\4Sjr S\S\4S jr g)"z) Runpod | API Wrapper | Mutations | Pods )ListOptionalNname image_name gpu_type_id cloud_typesupport_public_ip start_sshdata_center_id country_code gpu_count volume_in_gbcontainer_disk_in_gbmin_vcpu_countmin_memory_in_gb docker_argsportsvolume_mount_pathenv template_idnetwork_volume_idallowed_cuda_versions min_download min_upload instance_idreturnc t/nURSUS3SUS3SU3/5 U(aURS5 UbURSUS35 URS[U5R535 UbURSU35 U bURS U 35 U bURS U 35 U bURS U 35 Ub-S R S U55nURSUS35 O#UbURSUS35 U=(d SnUbURSUS35 OURS5 U bURSU S35 UbURSUS35 U bURSU 35 Ub%URSUR SS5S35 UbURSUS35 UbPUR 5VVs/sHunnSUSUS3PM nnnURSS R U5S35 UbURSUS35 UbURS US35 UbURS!U35 UbURS"U35 U(aS#OS$nS R U5nS%US&US'3$s snnf)(aE Generates a mutation to deploy a pod on demand. Args: name: Name of the pod image_name: Docker image name gpu_type_id: GPU type ID for GPU pods, None for CPU pods cloud_type: Cloud type (ALL, COMMUNITY, or SECURE) support_public_ip: Whether to support public IP start_ssh: Whether to start SSH service data_center_id: Data center ID country_code: Country code for pod location gpu_count: Number of GPUs (for GPU pods) volume_in_gb: Volume size in GB container_disk_in_gb: Container disk size in GB min_vcpu_count: Minimum vCPU count min_memory_in_gb: Minimum memory in GB docker_args: Docker arguments ports: Port mappings (e.g. "8080/tcp,22/tcp") volume_mount_path: Volume mount path env: Environment variables dict template_id: Template ID network_volume_id: Network volume ID allowed_cuda_versions: List of allowed CUDA versions min_download: Minimum download speed in Mbps min_upload: Minimum upload speed in Mbps instance_id: Instance ID for CPU pods Returns: str: GraphQL mutation string zname: ""z imageName: "z cloudType: zstartSsh: truez gpuTypeId: "zsupportPublicIp: z gpuCount: z volumeInGb: zminVcpuCount: zminMemoryInGb: z, c3.# UH nSUS3v M g7f)rN).0vs V/home/mande/repo/quber/.venv/lib/python3.13/site-packages/runpod/api/mutations/pods.py 3generate_pod_deployment_mutation..]s%N8M1!Ah8MszallowedCudaVersions: []z instanceId: "z runpod-ubuntuzdataCenterId: "zdataCenterId: nullz dockerArgs: "zcountryCode: "zcontainerDiskInGb: zports: " zvolumeMountPath: "z{ key: "z ", value: "z" }zenv: [z templateId: "znetworkVolumeId: "z minDownload: z minUpload: podFindAndDeployOnDemand deployCpuPodz mutation { z( input: { z } ) { id imageName env machineId machine { podHostId } } } )extendappendstrlowerjoinreplaceitems)rrrrr r r r r rrrrrrrrrrrrrr input_fields cuda_versionskr" env_items mutation_type input_strings r# generate_pod_deployment_mutationr8 s=pL $q zl!$ j\" ,-l;-q9:/4E0F0L0L0N/OPQ    *YK 8 9  #   ,|n = >  %   .0@ A B  '   /2B1C D E , II%N8M%NNM   "8q I J  "   - }A > ?!4_ !on-=Q?@01mK=:;n\N!<='12F1GHI hu}}S"'=&>a@A$01B0C1EF CF99;O;41ay;qc6; OfTYYy%9$:!<=mK=:;$01B0C1EFmL>:;k*672=.>M99\*Lo .   Ps4J4pod_idcSUS3$)z% Generates a mutation to stop a pod. z1 mutation { podStop(input: { podId: "zD" }) { id desiredStatus } } r r9s r#generate_pod_stop_mutationr<s##)(+ cSUSUS3$)z' Generates a mutation to resume a pod. z3 mutation { podResume(input: { podId: "z ", gpuCount: z }) { id desiredStatus imageName env machineId machine { podHostId } } } r )r9r s r#generate_pod_resume_mutationr?s"%%+HM) E  r=cSUS3$)z* Generates a mutation to terminate a pod. z6 mutation { podTerminate(input: { podId: "z" }) } r r;s r#generate_pod_terminate_mutationrAs((.x0 r=)NALLTTNNNNNNNNNNNNNNNNN) __doc__typingrrr-boolintdictr8r<r?rAr r=r#rHs " "&"$("&#"&*.$(&*!%'+!%'+15"& $!%/K KK#K K  K  KSMK3-K}K3-K#3-KSMKsmK#K C=K  }!K" $#K$#%K& }'K($DI.)K*3-+K, -K.#/K0 1K\ s s (CCr=