I am setting up the pipeline and I am not totally sure but I think I need to check the Azure Network VNet configuration first. Then I will probably git rebase my feature branch before checking the config in /etc/nginx/ to make sure it is correct. After that I will trigger an ArgoCD app sync and maybe tweak the cpu-shares to 512 to avoid throttling.

Question: output中是否将“az network vnet”规范化成了“Azure Network VNet”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“az network vnet”
- 不存在这个词或规范化结果

oral: az network vnet; clean: Azure Network VNet

Question: output中是否将“argocd”规范化成了“ArgoCD”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“argocd”
- 不存在这个词或规范化结果

Question: output中是否将“five hundred twelve”规范化成了“512”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“five hundred twelve”
- 不存在这个词或规范化结果

Question: output中是否存在“setting up the pipeline”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“git rebase my feature branch”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“checking the config in /etc/nginx/”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: checking the config in /etc/nginx/

Question: output中是否存在“trigger an app sync”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“tweak the cpu-shares”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“avoid throttling”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: I am setting up the pipeline and I am not totally sure but I think I need to check the az network vnet configuration first. Then I will probably git rebase my feature branch before checking the config in /etc/nginx/ to make sure it is correct. After that I will trigger an argocd app sync and maybe tweak the cpu-shares to five hundred twelve to avoid throttling.


So I just finished cleaning up the environment. I had to run terraform state rm to remove some stale resources. Then I did a trivy scan on the images and everything looks good. I already ran terraform apply for the Apache Kafka cluster and the MongoDB Atlas instance. Actually the MongoDB Atlas... it's like... it is fully provisioned now. So, uh, I think I think we are ready. Just, how should I put it, if you could just... could you write some integration tests for the user profile API endpoint, right?

So I just finished cleaning up the environment. I had to run terraform state rm to remove some stale resources. Then I did a Trivy scan on the images and everything looks good. I already ran terraform apply for the Apache Kafka cluster and the MongoDB Atlas instance. The MongoDB Atlas is fully provisioned now. So, I think we are ready. If you could just write some integration tests for the user profile API endpoint, right?

Question: output中是否保留了“terraform state rm”？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“Apache Kafka cluster”？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“user profile API endpoint”？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“cleaning up the environment”？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“remove some stale resources”？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“integration tests”？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“trivy”规范化成了首字母大写的“Trivy”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“trivy”
- 不存在这个词或规范化结果

Then I did a trivy scan on the images -> Then I did a Trivy scan on the images

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Actually the MongoDB Atlas... it's like... it is / So, uh, I think I think / Just, how should I put it, if you could just... could you

Question: output中是否将“Actually the MongoDB Atlas... it's like... it is fully provisioned now.”处理成了“The MongoDB Atlas is fully provisioned now.”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

Actually the MongoDB Atlas... it's like... it is fully provisioned now. -> The MongoDB Atlas is fully provisioned now.

Question: output中是否将“Just, how should I put it, if you could just... could you write”处理成了“If you could just write”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

Just, how should I put it, if you could just... could you write -> If you could just write


Why is my pod stuck in crash loop back off again? Hmm, I think it might be the cluster port configuration. I used eksctl to spin up the nodes, but I might have messed up the networking. It should be connecting to Amazon RDS, oh no, I mean Azure Cosmos DB for the state store, and then passing messages through RabbitMQ. Let me check if port eight zero eight zero... no, eight thousand eighty is open.

Why is my pod stuck in CrashLoopBackOff again? I think it might be the cluster port configuration. I used eksctl to spin up the nodes, but I might have messed up the networking. It should be connecting to Azure Cosmos DB for the state store, and then passing messages through RabbitMQ. Let me check if port 8080 is open.

Question: output中是否将“crash loop back off”规范化成了“CrashLoopBackOff”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“crash loop back off”
- 不存在这个词或规范化结果

oral: crash loop back off; clean: CrashLoopBackOff

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“Amazon RDS, oh no, I mean Azure Cosmos DB”处理成了“Azure Cosmos DB”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: Amazon RDS, oh no, I mean Azure Cosmos DB; clean: Azure Cosmos DB

Question: output中是否将“eight zero eight zero... no, eight thousand eighty”处理成了“8080”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: eight zero eight zero... no, eight thousand eighty; clean: 8080

Question: output中是否存在“pod stuck”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“cluster port configuration”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“eksctl”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“spin up the nodes”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“messed up the networking”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“state store”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“RabbitMQ”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Look, most people think we just need to tweak the /proc/sys/net/ settings for this latency issue. But actually, it's not a kernel parameter problem. No, it's not a kernel parameter problem. I've been checking Datadog and the spikes are coming from the logging layer. We need to change Terraform to mount /var/log/pods/ as a separate volume. We should... I mean... if we adjust the storage class for the logs, it should stabilize. Also, make sure the trivy image scan is running before the deploy. I want the trivy image scan to fail the build if high severity hits. Once that's done, just trigger the argocd app sync. Trigger the argocd app sync for all twenty four clusters.

Look, most people think we just need to tweak the /proc/sys/net/ settings for this latency issue. But actually, it's not a kernel parameter problem. I've been checking Datadog and the spikes are coming from the logging layer. We need to change Terraform to mount /var/log/pods/ as a separate volume. If we adjust the storage class for the logs, it should stabilize. Also, make sure the Trivy image scan is running before the deploy. I want the Trivy image scan to fail the build if high severity hits. Once that's done, just trigger the ArgoCD app sync for all 24 clusters.

Question: output中是否存在“/proc/sys/net/”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“Datadog”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“/var/log/pods/”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“storage class”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“high severity”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“trivy”规范化成了“Trivy”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“trivy”
- 不存在这个词或规范化结果

Question: output中是否将“argocd”规范化成了“ArgoCD”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“argocd”
- 不存在这个词或规范化结果

Question: output中是否将“twenty four”规范化成了“24”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“twenty four”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: We should... I mean..., No, it's not a kernel parameter problem.

Question: output中是否将“No, it's not a kernel parameter problem.”处理成了删除该重复语句？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: No, it's not a kernel parameter problem., clean: 删除

Question: output中是否将“We should... I mean... if we adjust”处理成了“If we adjust”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: We should... I mean... if we adjust, clean: If we adjust

Question: output中是否将重复的“Trigger the argocd app sync.”处理成了删除该重复语句？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: Trigger the argocd app sync., clean: 删除


So my lead told me we need to move the stateful set to cluster mode, cluster mode to handle the scaling better. I think I think this is overkill for our current load. I checked the nodes via k9s and noticed the disk pressure is mostly in var lib docker. I tried running aws eks update kubeconfig to sync everything but I still cannot hit the pod. Also we need to check gcloud iam permissions for the service account. Can you write me a migration script to update the schema? Make sure it handles the three hundred twenty two tables without locking the database.

So my lead told me we need to move the stateful set to cluster mode to handle the scaling better. I think this is overkill for our current load. I checked the nodes via k9s and noticed the disk pressure is mostly in /var/lib/docker. I tried running aws eks update-kubeconfig to sync everything but I still cannot hit the pod. Also we need to check gcloud IAM permissions for the service account. Can you write me a migration script to update the schema? Make sure it handles the 322 tables without locking the database.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

cluster mode, cluster mode; I think I think

Question: output中是否将“var lib docker”规范化成了“/var/lib/docker”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“var lib docker”
- 不存在这个词或规范化结果

Question: output中是否将“update kubeconfig”规范化成了“update-kubeconfig”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“update kubeconfig”
- 不存在这个词或规范化结果

Question: output中是否将“iam”规范化成了“IAM”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“iam”
- 不存在这个词或规范化结果

Question: output中是否将“three hundred twenty two”规范化成了“322”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“three hundred twenty two”
- 不存在这个词或规范化结果

Question: output中是否存在“stateful set”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“disk pressure”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“migration script”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“locking the database”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey, so I thought this was a gcloud pubsub issue at first, but actually it is not. The leak is happening at the node level. I checked the pod status and it was showing ErrImagePull... oh wait, no, it was ImagePullBackOff. Anyway, I am looking at the config in etc kubernetes manifests slash, and I think max worker processes is set way too high. I tried tuning some kernel parameters in proc sys net ipv4 slash but it did not help. I need to figure out why memory keeps climbing in this xing environment, so let me know if you see any pattern in the logs when it reaches two gigabytes of usage. I just want to make sure it does not crash again in the production garden.

Hey, so I thought this was a gcloud Pub/Sub issue at first, but actually it is not. The leak is happening at the node level. I checked the pod status and it was showing ImagePullBackOff. Anyway, I am looking at the config in /etc/kubernetes/manifests/, and I think max worker processes is set way too high. I tried tuning some kernel parameters in /proc/sys/net/ipv4/ but it did not help. I need to figure out why memory keeps climbing in this xing environment, so let me know if you see any pattern in the logs when it reaches 2GB of usage. I just want to make sure it does not crash again in the production garden.

Question: output中是否保留了“gcloud issue”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: "gcloud Pub/Sub issue" / oral: "gcloud pubsub issue"

Question: output中是否将“pubsub”规范化成了“Pub/Sub”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“pubsub”
- 不存在这个词或规范化结果

Question: output中是否保留了“leak at the node level”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: "leak is happening at the node level" / oral: "leak is happening at the node level"

Question: output中是否将“ErrImagePull... oh wait, no, it was ImagePullBackOff”处理成了“ImagePullBackOff”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

clean: "ImagePullBackOff" / oral: "ErrImagePull... oh wait, no, it was ImagePullBackOff"

Question: output中是否将“etc kubernetes manifests slash”规范化成了“/etc/kubernetes/manifests/”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“etc kubernetes manifests slash”
- 不存在这个词或规范化结果

clean: "/etc/kubernetes/manifests/" / oral: "etc kubernetes manifests slash"

Question: output中是否保留了“max worker processes”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: "max worker processes" / oral: "max worker processes"

Question: output中是否将“proc sys net ipv4 slash”规范化成了“/proc/sys/net/ipv4/”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“proc sys net ipv4 slash”
- 不存在这个词或规范化结果

clean: "/proc/sys/net/ipv4/" / oral: "proc sys net ipv4 slash"

Question: output中是否保留了“xing environment”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: "xing environment" / oral: "xing environment"

Question: output中是否将“two gigabytes”规范化成了“2GB”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“two gigabytes”
- 不存在这个词或规范化结果

Question: output中是否保留了“production garden”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: "production garden" / oral: "production garden"

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在


Hey Alex, I need help optimizing a slow SQL query. I think I think the bottleneck is in the worker-processes configuration. We are currently running on MongoDB Atlas, but the latency is spiking. I checked the port-mapping and ran istioctl analyze... it showed some issues with the health-check-interval. It was set to ten seconds... oh no, it was fifteen seconds. Can you look at the query plan and tell me if we should adjust the worker-processes worker-processes to handle more concurrent loads?

Hey Alex, I need help optimizing a slow SQL query. I think the bottleneck is in the worker-processes configuration. We are currently running on MongoDB Atlas, but the latency is spiking. I checked the port-mapping and ran istioctl analyze... it showed some issues with the health-check-interval. It was set to 15 seconds. Can you look at the query plan and tell me if we should adjust the worker-processes to handle more concurrent loads?

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

I think I think, worker-processes worker-processes

Question: output中是否将“ten seconds... oh no, it was fifteen seconds”处理成了“15 seconds”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

ten seconds... oh no, it was fifteen seconds. -> 15 seconds.

Question: output中是否将“fifteen seconds”规范化成了“15 seconds”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“fifteen seconds”
- 不存在这个词或规范化结果

Question: output中是否将“MongoDB Atlas”和“istioctl”保持了正确的大小写格式（即“MongoDB Atlas”和“istioctl”）？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在原词
- 不存在这个词或规范化错误

Question: output中是否存在“optimizing a slow SQL query”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“bottleneck is in the worker-processes configuration”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“latency is spiking”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“health-check-interval”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“handle more concurrent loads”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Honestly, this function is a total mess. I need you to refactor it to handle the integration between Kong Gateway and HashiCorp Vault more cleanly, and then split the messaging logic between RabbitMQ and Apache Kafka. Also, make sure it correctly parses the path to dot slash kube slash config. Just keep it modular.

Honestly, this function is a total mess. I need you to refactor it to handle the integration between Kong Gateway and HashiCorp Vault more cleanly, and then split the messaging logic between RabbitMQ and Apache Kafka. Also, make sure it correctly parses the path to ./kube/config. Just keep it modular.

Question: output中是否将“dot slash kube slash config”规范化成了“./kube/config”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dot slash kube slash config”
- 不存在这个词或规范化错误

oral: "dot slash kube slash config", clean: "./kube/config"

Question: output中是否将“Kong Gateway”进行了正确的大小写规范化？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“kong gateway”等未大写形式
- 不存在这个词或规范化错误

Question: output中是否将“HashiCorp Vault”进行了正确的大小写规范化？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“hashicorp vault”等未大写形式
- 不存在这个词或规范化错误

Question: output中是否将“RabbitMQ”进行了正确的大小写规范化？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“rabbitmq”等未大写形式
- 不存在这个词或规范化错误

Question: output中是否将“Apache Kafka”进行了正确的大小写规范化？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“apache kafka”等未大写形式
- 不存在这个词或规范化错误

Question: output中是否存在“refactor it”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“handle the integration”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“split the messaging logic”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“parses the path”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“keep it modular”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: "Honestly, this function is a total mess..." (无明显口语词、犹豫词、重复词)


Hey, can you help me add some auth middleware to my Express app? I need it to check tokens and... uh... maybe log the requests to var slash log slash pods slash... oh wait, actually just set the log level to debug for now. Also, make sure the idle timeout is set to sixty seconds... no, sorry, ninety seconds. I just did an az login and tried an Argo CD app sync but... wait, let me rephrase that. I just ran az login and then triggered an Argo CD app sync, so can you show me where to plug in the middleware in the main app file?

Hey, can you help me add some auth middleware to my Express app? I need it to check tokens and just set the log level to debug for now. Also, make sure the idle timeout is set to 90 seconds. I just ran az login and then triggered an Argo CD app sync, so can you show me where to plug in the middleware in the main app file?

Question: output中是否保留了“auth middleware”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否保留了“check tokens”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“ninety seconds”规范化成了“90 seconds”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ninety seconds”
- 不存在该词或规范化错误

Question: output中是否将“az login”保持了“az”小写的格式？

Choices:
- 保持了正确格式
- 没有保持正确格式但存在该词
- 不存在该词或格式错误

Question: output中是否将“Argo CD”保持了“Argo”首字母大写和“CD”全大写的格式？

Choices:
- 保持了正确格式
- 没有保持正确格式但存在该词
- 不存在该词或格式错误

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: uh, oh wait, no sorry, wait let me rephrase that

Question: output中是否将“maybe log the requests to var slash log slash pods slash... oh wait, actually”去除了，并保留了最终结果“just set the log level to debug”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: maybe log the requests to var slash log slash pods slash... oh wait, actually just set the log level to debug; clean: just set the log level to debug

Question: output中是否将“I just did an az login and tried an Argo CD app sync but... wait, let me rephrase that.”去除了，并保留了最终结果“I just ran az login and then triggered an Argo CD app sync”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: I just did an az login and tried an Argo CD app sync but... wait, let me rephrase that. I just ran az login and then triggered an Argo CD app sync; clean: I just ran az login and then triggered an Argo CD app sync


Honestly, I need you to scan the source and generate full API docs from the comments. I keep getting this... uh... Invalid Token error when I try to pull from slash etc slash kubernetes slash manifests slash. Also, could you... wait, actually, just look at the CI pipeline. Check if the helm upgrade dash install command is failing. I tried to run flux get kustomization but... let me rephrase... if you could just check the sync status first, that would be better. Oh, and I probably need to do a git rebase dash i for those last three commits. Just... skip the a header for now.

Honestly, I need you to scan the source and generate full API docs from the comments. I keep getting this Invalid Token error when I try to pull from /etc/kubernetes/manifests/. Also, just look at the CI pipeline. Check if the helm upgrade --install command is failing. If you could just check the sync status first, that would be better. Oh, and I probably need to do a git rebase -i for those last 3 commits. Just skip the a header for now.

Question: output中是否保留了“scan the source and generate full API docs”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: scan the source and generate full API docs

Question: output中是否将“slash etc slash kubernetes slash manifests slash”规范化成了“/etc/kubernetes/manifests/”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在原词
- 不存在或规范化错误

oral: slash etc slash kubernetes slash manifests slash, clean: /etc/kubernetes/manifests/

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: this... uh... Invalid Token error, clean: this Invalid Token error

Question: output中是否将“could you... wait, actually, just look at”处理成了“just look at”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: could you... wait, actually, just look at, clean: just look at

Question: output中是否将“helm upgrade dash install”规范化成了“helm upgrade --install”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在原词
- 不存在或规范化错误

oral: helm upgrade dash install, clean: helm upgrade --install

Question: output中是否将“I tried to run flux get kustomization but... let me rephrase... if you could just check the sync status first”处理成了“If you could just check the sync status first”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: I tried to run flux get kustomization but... let me rephrase... if you could just check the sync status first, clean: If you could just check the sync status first

Question: output中是否将“git rebase dash i”规范化成了“git rebase -i”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在原词
- 不存在或规范化错误

oral: git rebase dash i, clean: git rebase -i

Question: output中是否将“last three commits”规范化成了“last 3 commits”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在原词
- 不存在或规范化错误

oral: last three commits, clean: last 3 commits

Question: output中是否保留了“check the sync status”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“skip the a header”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反


Hey, I need to benchmark these two caching strategies. It's more like comparing throughput efficiency than just latency, you know? I'm seeing some weird spikes in Grafana Loki, and uh, I keep hitting a four hundred nine Conflict when I scale up worker-processes. Oh, wait, make that eight worker-processes. Also, the trivy scan is failing with Exit Code one hundred thirty seven, so it's probably OOM. Can you help me figure out which strategy handles this better?

Hey, I need to benchmark these two caching strategies. It's more comparing throughput efficiency than just latency. I'm seeing some weird spikes in Grafana Loki, and I keep hitting a 409 Conflict when I scale up 8 worker-processes. Also, the Trivy scan is failing with Exit Code 137, so it's probably OOM. Can you help me figure out which strategy handles this better?

Question: output中是否保留了“benchmark these two caching strategies”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“throughput efficiency”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“Grafana Loki”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“four hundred nine”规范化成了“409”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“four hundred nine”
- 不存在这个词或规范化结果

hitting a four hundred nine Conflict -> hitting a 409 Conflict

Question: output中是否将“trivy”规范化成了首字母大写的“Trivy”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“trivy”
- 不存在这个词或规范化结果

Question: output中是否将“one hundred thirty seven”规范化成了“137”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“one hundred thirty seven”
- 不存在这个词或规范化结果

Exit Code one hundred thirty seven -> Exit Code 137

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“worker-processes. Oh, wait, make that eight worker-processes”处理成了“8 worker-processes”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

scale up worker-processes. Oh, wait, make that eight worker-processes. -> scale up 8 worker-processes.

Question: output中是否保留了“OOM”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反


So I've been looking at our setup on Cloudflare and some of the Google Cloud Spanner instances. I noticed we had some ImagePullBackOff errors on a few pods... oh wait, not ImagePullBackOff, it was CrashLoopBackOff. Anyway, I tried to trigger an ArgoCD app sync, an ArgoCD app sync to see if it clears up, but the memory usage just keeps climbing. I think, how should I put it, I think the memory leak leak is happening in the connection pool logic.

So I've been looking at our setup on Cloudflare and some of the Google Cloud Spanner instances. I noticed we had some CrashLoopBackOff errors on a few pods. Anyway, I tried to trigger an ArgoCD app sync to see if it clears up, but the memory usage just keeps climbing. I think the memory leak is happening in the connection pool logic.

Question: output中是否保留了“connection pool logic”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否保留了“memory usage just keeps climbing”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“crashloopbackoff”或类似发音规范化成了“CrashLoopBackOff”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在原词或全小写
- 不存在这个词或规范化错误

Question: output中是否将“argocd”或类似发音规范化成了“ArgoCD”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在原词或全小写
- 不存在这个词或规范化错误

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oh wait, an ArgoCD app sync, an ArgoCD app sync, leak leak, how should I put it

Question: output中是否将“ImagePullBackOff... oh wait, not ImagePullBackOff, it was CrashLoopBackOff”处理成了“CrashLoopBackOff”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语


Hey, I got this slow query on Amazon Aurora that is just killing performance. I'm not totally sure but I think it might be related to some cluster-visibility issues, uh, maybe combined with how we configured the Cloudflare Tunnel. Wait, I checked the logs and it is not the tunnel, oh no, it is actually the database indexing. Anyway, I already ran istioctl analyze and scanned everything with trivy, but the latency is still over five hundred milliseconds. Can you help me optimize the join logic?

Hey, I got this slow query on Amazon Aurora that is just killing performance. I'm not totally sure but I think it might be related to some cluster-visibility issues, maybe combined with how we configured the Cloudflare Tunnel. I checked the logs and it is actually the database indexing. Anyway, I already ran istioctl analyze and scanned everything with Trivy, but the latency is still over 500 milliseconds. Can you help me optimize the join logic?

Question: output中是否保留了“slow query on Amazon Aurora”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“cluster-visibility issues”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“database indexing”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“istioctl analyze”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“optimize the join logic”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“trivy”规范化成了首字母大写的“Trivy”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“trivy”
- 不存在该词或规范化结果

Question: output中是否将“five hundred”规范化成了“500”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“five hundred”
- 不存在该词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“Wait, I checked the logs and it is not the tunnel, oh no, it is actually”处理成了“I checked the logs and it is actually”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: Wait, I checked the logs and it is not the tunnel, oh no, it is actually, clean: I checked the logs and it is actually


Actually, use curl dash d... oh no, curl dash k for docs.

Question: output中是否存在“curl”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“docs”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“dash k”规范化成了“-k”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash k”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“curl dash d... oh no, curl dash k”处理成了“curl -k”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: curl dash d... oh no, curl dash k; clean: curl -k


Hey, can you write some integration tests for this endpoint? I need it to be more like a full end to end flow than just simple mocking. Just, uh, make sure it covers the Amazon Aurora connection and gcloud pubsub triggers. Also, we need to simulate a five hundred Internal Server Error when idle timeout hits. Oh and let's check if Datadog picks up the trace, right?

Hey, can you write some integration tests for this endpoint? I need it to be more like a full end-to-end flow than just simple mocking. Just make sure it covers the Amazon Aurora connection and gcloud Pub/Sub triggers. Also, we need to simulate a 500 Internal Server Error when idle timeout hits. Oh and let's check if Datadog picks up the trace, right?

Question: output中是否将“end to end”规范化成了“end-to-end”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“end to end”
- 不存在这个词或规范化结果

Question: output中是否将“gcloud pubsub”规范化成了“gcloud Pub/Sub”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“gcloud pubsub”
- 不存在这个词或规范化结果

oral: gcloud pubsub, clean: gcloud Pub/Sub

Question: output中是否将“five hundred”规范化成了“500”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“five hundred”
- 不存在这个词或规范化结果

Question: output中是否将“Internal Server Error”保留了首字母大写的格式？

Choices:
- 保留了首字母大写格式
- 没有保留首字母大写格式但存在该词
- 不存在该词

oral: Internal Server Error, clean: Internal Server Error

Question: output中是否将“Datadog”保留了首字母大写的格式？

Choices:
- 保留了首字母大写格式
- 没有保留首字母大写格式但存在该词
- 不存在该词

Question: output中是否将“Amazon Aurora”保留了首字母大写的格式？

Choices:
- 保留了首字母大写格式
- 没有保留首字母大写格式但存在该词
- 不存在该词

oral: Amazon Aurora, clean: Amazon Aurora

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: Just, uh, make sure, clean: Just make sure

Question: output中是否存在“integration tests”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“endpoint”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“simple mocking”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“connection”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“triggers”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“idle timeout”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“picks up the trace”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey can you help me port this bash script to a Python CLI tool. I need it to parse /var/log/syslog and then... uh... maybe instead of just grep... let's say it should filter for five hundred Internal Server Error. Also need to add a configurable buffer size... say like four thousand ninety six bytes. Plus it should... wait... actually... if we could integrate it with k9s or... how should I put it... basically just trigger an ArgoCD app sync when it finds an error. Hope this makes sense and let me know if you need more context to get it right.

Hey, can you help me port this bash script to a Python CLI tool? I need it to parse /var/log/syslog and then it should filter for 500 Internal Server Error. Also need to add a configurable buffer size, say 4096 bytes. Plus it should trigger an ArgoCD app sync when it finds an error. Hope this makes sense and let me know if you need more context to get it right.

Question: output中是否保留了“port this bash script to a Python CLI tool”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“parse /var/log/syslog”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“Internal Server Error”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“configurable buffer size”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“app sync”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“when it finds an error”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“five hundred”规范化成了“500”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“five hundred”
- 不存在这个词或规范化结果

Question: output中是否将“four thousand ninety six”规范化成了“4096”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“four thousand ninety six”
- 不存在这个词或规范化结果

Question: output中是否将专有名词正确拼写为“ArgoCD”？

Choices:
- 正确拼写为“ArgoCD”
- 拼写为“argocd”或其他未规范大小写的形式
- 缺失或拼写错误

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“maybe instead of just grep... let's say it should filter for”处理成了“filter for”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

maybe instead of just grep... let's say it should filter for -> filter for

Question: output中是否将“integrate it with k9s or... how should I put it... basically just trigger an ArgoCD app sync”处理成了“trigger an ArgoCD app sync”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

integrate it with k9s or... how should I put it... basically just trigger an ArgoCD app sync -> trigger an ArgoCD app sync


Hey, I want you to scan my source code and generate API documentation from comments. I am not totally sure but I think... I think we need to adjust heap-size and buffer-size, maybe set heap-size to two gigabytes. We are using Amazon Aurora for database, and... wait... if we just use... how should I put this... if we use pulumi up to deploy, it might trigger a restart. Also check the az network vnet configuration. Make sure the config is correct so it can reach the server. I think we need to check check the network routes again.

Hey, I want you to scan my source code and generate API documentation from comments. I am not totally sure but I think we need to adjust heap-size and buffer-size, maybe set heap-size to 2GB. We are using Amazon Aurora for database, and if we use pulumi up to deploy, it might trigger a restart. Also check the Azure network VNet configuration. Make sure the config is correct so it can reach the server. I think we need to check the network routes again.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

I think... I think, check check, wait, how should I put this

Question: output中是否将“two gigabytes”规范化成了“2GB”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“two gigabytes”
- 不存在这个词或规范化结果

Question: output中是否将“az network vnet”规范化成了“Azure network VNet”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“az network vnet”
- 不存在这个词或规范化结果

Question: output中是否将“if we just use... how should I put this... if we use”处理成了“if we use”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

if we just use... how should I put this... if we use -> if we use

Question: output中是否存在“scan my source code and generate API documentation”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“adjust heap-size and buffer-size”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“Amazon Aurora”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“trigger a restart”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


I checked helm list and saw the pod crashing. I tried wget dash dash spider... oh wait, wget dash dash header to check the endpoint, but it failed. I might need to run terraform destroy... no, terraform apply to reset everything. I'll update the config using aws ssm put parameter. Does that sound right to you, or should I check the logs first in the new cluster?

I checked helm list and saw the pod crashing. I tried wget --header to check the endpoint, but it failed. I might need to run terraform apply to reset everything. I'll update the config using aws ssm put-parameter. Does that sound right to you, or should I check the logs first in the new cluster?

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“wget dash dash spider... oh wait, wget dash dash header”处理成了“wget --header”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: "wget dash dash spider... oh wait, wget dash dash header", clean: "wget --header"

Question: output中是否将“terraform destroy... no, terraform apply”处理成了“terraform apply”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: "terraform destroy... no, terraform apply", clean: "terraform apply"

Question: output中是否将“dash dash”规范化成了“--”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash dash”
- 不存在这个词或规范化结果

Question: output中是否将“put parameter”规范化成了“put-parameter”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“put parameter”
- 不存在这个词或规范化结果

oral: "put parameter", clean: "put-parameter"

Question: output中是否存在“helm list”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“pod crashing”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“check the endpoint”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“reset everything”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“update the config”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“check the logs”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“new cluster”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey Claude, uh, I got this messy script for gcloud container clusters and it needs a serious cleanup. It is... wait, actually... let me rephrase, it is basically a disaster. Like, it tries to check the liveness-probe by digging into /etc/kubernetes/ and then it just fails with ImagePullBackOff... just totally randomly, you know? I want to stop doing docker exec -it on every single node, so, uh, can you refactor this into some clean Python logic, maybe? I think it would be better, right?

Hey Claude, I got this messy script for gcloud container clusters and it needs a serious cleanup. It is a disaster. It tries to check the liveness-probe by digging into /etc/kubernetes/ and then it just fails with ImagePullBackOff totally randomly. I want to stop doing docker exec -it on every single node, so can you refactor this into some clean Python logic, maybe? I think it would be better, right?

Question: output中是否存在“gcloud container clusters”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“Python”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“/etc/kubernetes/”保留了正确的斜杠和路径格式？

Choices:
- 保留了正确的斜杠和路径格式
- 没有保留正确的格式但存在该路径的读音
- 不存在该路径或格式错误

Question: output中是否将“ImagePullBackOff”保留了正确的驼峰命名大小写格式？

Choices:
- 保留了正确的驼峰命名大小写格式
- 没有保留正确的大小写但存在该词的读音
- 不存在该词或大小写错误

Question: output中是否将“liveness-probe”保留了正确的连字符格式？

Choices:
- 保留了正确的连字符格式
- 没有保留连字符但存在该词的读音
- 不存在该词或连字符错误

Question: output中是否将“docker exec -it”保留了正确的连字符格式？

Choices:
- 保留了正确的连字符格式
- 没有保留连字符但存在该命令的读音
- 不存在该命令或连字符错误

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: "uh", "wait, actually... let me rephrase", "Like,", "you know?"

Question: output中是否将“It is... wait, actually... let me rephrase, it is basically a disaster.”处理成了“It is a disaster.”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: "It is... wait, actually... let me rephrase, it is basically a disaster." clean: "It is a disaster."


Hey, can you refactor this function? It's more like a messy terraform plan than clean code. Um, it's like... just a giant list of az group create... oh no, az webapp deploy calls. I mean... it's more like a shell script with ssh dash i and docker ps, just... way too cluttered.

Hey, can you refactor this function? It's more like a messy Terraform plan than clean code. It's just a giant list of az webapp deploy calls. It's more like a shell script with ssh -i and docker ps, just way too cluttered.

Question: output中是否保留了“refactor this function”？

Choices:
- 完整保留
- 部分保留或近似
- 缺失或含义相反

Question: output中是否保留了“clean code”？

Choices:
- 完整保留
- 部分保留或近似
- 缺失或含义相反

Question: output中是否保留了“giant list”？

Choices:
- 完整保留
- 部分保留或近似
- 缺失或含义相反

Question: output中是否保留了“shell script”？

Choices:
- 完整保留
- 部分保留或近似
- 缺失或含义相反

Question: output中是否保留了“docker ps”？

Choices:
- 完整保留
- 部分保留或近似
- 缺失或含义相反

Question: output中是否保留了“way too cluttered”？

Choices:
- 完整保留
- 部分保留或近似
- 缺失或含义相反

Question: output中是否将“terraform”规范化成了首字母大写的“Terraform”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“terraform”
- 不存在该词或规范化错误

messy terraform plan -> messy Terraform plan

Question: output中是否将“ssh dash i”规范化成了“ssh -i”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ssh dash i”
- 不存在该词或规范化错误

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“az group create... oh no, az webapp deploy calls”处理成了“az webapp deploy calls”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

az group create... oh no, az webapp deploy calls -> az webapp deploy calls


Hmm it's more like a leak during helm upgrade dash dash install than a fresh helm install. The id id from jq dot items bracket zero bracket dot id is climbing, climbing way too fast.

It's more like a leak during helm upgrade --install than a fresh helm install. The id from jq .items[0].id is climbing way too fast.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“dash dash install”规范化成了“--install”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash dash install”
- 不存在这个词或规范化结果

Question: output中是否将“jq dot items bracket zero bracket dot id”规范化成了“jq .items[0].id”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“jq dot items bracket zero bracket dot id”
- 不存在这个词或规范化结果

jq dot items bracket zero bracket dot id -> jq .items[0].id

Question: output中是否存在“more like a leak”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“during helm upgrade”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“fresh helm install”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“climbing way too fast”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey, can you help me write some integration tests for the new endpoint? I'm not totally sure but I think we need to mock the Apache Kafka producer, mock the Apache Kafka producer to avoid hitting the actual broker. Also, we should check if the message reaches gcloud pubsub. Wait, oh no, it's not pubsub, it's Amazon RDS for the final state check. And I want to make sure the pipeline includes a trivy image scan, includes a trivy image scan before we deploy through Cloudflare Tunnel. Can you use port eight thousand eight hundred eighty eight for the local setup?

Hey, can you help me write some integration tests for the new endpoint? I'm not totally sure but I think we need to mock the Apache Kafka producer to avoid hitting the actual broker. Also, we should check if the message reaches Amazon RDS for the final state check. And I want to make sure the pipeline includes a Trivy image scan before we deploy through Cloudflare Tunnel. Can you use port 8888 for the local setup?

Question: output中是否保留了“integration tests for the new endpoint”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“mock the Apache Kafka producer”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“avoid hitting the actual broker”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“eight thousand eight hundred eighty eight”规范化成了“8888”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“eight thousand eight hundred eighty eight”
- 不存在这个词或规范化结果

port eight thousand eight hundred eighty eight -> port 8888

Question: output中是否将“trivy”规范化成了首字母大写的“Trivy”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“trivy”
- 不存在这个词或规范化结果

Question: output中是否保留了首字母大写的专有名词“Cloudflare Tunnel”？

Choices:
- 保留了“Cloudflare Tunnel”
- 存在但大小写错误如“cloudflare tunnel”
- 不存在该词

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

mock the Apache Kafka producer, mock the Apache Kafka producer; includes a trivy image scan, includes a trivy image scan

Question: output中是否将“gcloud pubsub. Wait, oh no, it's not pubsub, it's Amazon RDS”处理成了“Amazon RDS”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

reaches gcloud pubsub. Wait, oh no, it's not pubsub, it's Amazon RDS -> reaches Amazon RDS


Actually it is not just adding a column but splitting the table, so please write a migration script where I can check logs using ssh minus v or verify checksums with openssl dgst dash sha two hundred fifty six after I run docker volume ls to confirm the data paths.

Actually it is not just adding a column but splitting the table, so please write a migration script where I can check logs using ssh -v or verify checksums with openssl dgst -sha256 after I run docker volume ls to confirm the data paths.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“ssh minus v”规范化成了“ssh -v”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ssh minus v”
- 不存在这个词或规范化结果

Question: output中是否将“openssl dgst dash sha two hundred fifty six”规范化成了“openssl dgst -sha256”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“openssl dgst dash sha two hundred fifty six”
- 不存在这个词或规范化结果

oral: openssl dgst dash sha two hundred fifty six -> clean: openssl dgst -sha256

Question: output中是否存在“splitting the table”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“write a migration script”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“verify checksums”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“docker volume ls”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Uh, I need to sync the monitoring rules. It is more like... uh... debugging the infrastructure flow than just writing a config. So, let us start by running helm list to see what is deployed, then maybe a curl dash v to check the health endpoint. Oh, I should probably use ssh dash P... no, wait, not P, it is ssh dash N for the tunnel. After that, I will run terraform output to grab the load balancer I P and then, uh, terraform apply to push the changes. I think we need to set the threshold to eighty percent... oh no, not eighty, it is ninety five percent for the critical alert. Does that sound right?

I need to sync the monitoring rules. It is more like debugging the infrastructure flow than just writing a config. So, let us start by running helm list to see what is deployed, then maybe a curl -v to check the health endpoint. I should probably use ssh -N for the tunnel. After that, I will run terraform output to grab the load balancer IP and then terraform apply to push the changes. I think we need to set the threshold to 95% for the critical alert. Does that sound right?

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“ssh dash P... no, wait, not P, it is ssh dash N”处理成了“ssh -N”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: 'ssh dash P... no, wait, not P, it is ssh dash N'; clean: 'ssh -N'

Question: output中是否将“eighty percent... oh no, not eighty, it is ninety five percent”处理成了“95%”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: 'eighty percent... oh no, not eighty, it is ninety five percent'; clean: '95%'

Question: output中是否将“curl dash v”规范化成了“curl -v”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“curl dash v”
- 不存在这个词或规范化结果

Question: output中是否将“load balancer I P”规范化成了“load balancer IP”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“load balancer I P”
- 不存在这个词或规范化结果

oral: 'load balancer I P'; clean: 'load balancer IP'

Question: output中是否存在“sync the monitoring rules”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“debugging the infrastructure flow”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: 'debugging the infrastructure flow'

Question: output中是否存在“helm list”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“terraform apply”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“critical alert”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Wait, I thought terraform output would show the error, but it actually just shows state. Actually, actually, I need to check docker volume ls first, then maybe kubectl get pods, huh. Let me try git rebase dash i to clean up, or maybe curl dash u with user credentials, user credentials, maybe that works, right?

I thought terraform output would show the error, but it actually just shows state. I need to check docker volume ls first, then maybe kubectl get pods. Let me try git rebase -i to clean up, or maybe curl -u with user credentials, maybe that works, right?

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Wait, Actually, actually, huh, user credentials, user credentials

Question: output中是否将“git rebase dash i”规范化成了“git rebase -i”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“git rebase dash i”
- 不存在这个词或规范化结果

Question: output中是否将“curl dash u”规范化成了“curl -u”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“curl dash u”
- 不存在这个词或规范化结果

Question: output中是否存在“terraform output”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“docker volume ls”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“kubectl get pods”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


My lead said just run kubectl delete namespace... uh no, kubectl get namespace first, then... I mean... just use az vm create and ssh-keygen dash t ed two five five one nine, plus openssl req dash new and openssl pkey, you know? Now write tests for that endpoint, okay?

My lead said just run kubectl get namespace first, then just use az vm create and ssh-keygen -t ed25519, plus openssl req -new and openssl pkey. Now write tests for that endpoint, okay?

Question: output中是否将“kubectl delete namespace... uh no, kubectl get namespace first”处理成了“kubectl get namespace first”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: kubectl delete namespace... uh no, kubectl get namespace first; clean: kubectl get namespace first

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: uh no, I mean, you know?; clean: (deleted)

Question: output中是否将“ssh-keygen dash t ed two five five one nine”规范化成了“ssh-keygen -t ed25519”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ssh-keygen dash t ed two five five one nine”
- 不存在这个词或规范化结果

oral: ssh-keygen dash t ed two five five one nine; clean: ssh-keygen -t ed25519

Question: output中是否将“openssl req dash new”规范化成了“openssl req -new”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“openssl req dash new”
- 不存在这个词或规范化结果

oral: openssl req dash new; clean: openssl req -new

Question: output中是否存在“just run”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“az vm create”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“openssl pkey”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“write tests for that endpoint”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


I want to start by az group create, az group create a new resource group. Then use openssl req dash new for certificates, oh no, use az keyvault secret set instead. Then I'll check kubectl get events, kubectl get events to see if it's running. Does that sound like a good plan?

I want to start by az group create a new resource group. Then use az keyvault secret set instead. Then I'll check kubectl get events to see if it's running. Does that sound like a good plan?

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

az group create, az group create; kubectl get events, kubectl get events

Question: output中是否将“openssl req dash new for certificates, oh no, use az keyvault secret set instead”处理成了“az keyvault secret set”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

use openssl req dash new for certificates, oh no, use az keyvault secret set instead -> use az keyvault secret set instead

Question: output中是否存在“az group create”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“a new resource group”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“kubectl get events”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“to see if it's running”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“Does that sound like a good plan?”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Wait, do I need to manually handle the state for this database schema change? Actually, I think it's better if we just automate it. So, uh, I already did the terraform init and ran aws iam create user to set up permissions. Now I need a migration script because I am about to do a git merge into main. After that, I will probably run helm upgrade dash dash values for the config, and then maybe helm upgrade dash dash atomic to make sure it rolls back if it fails. Can you write that script for me, please?

Do I need to manually handle the state for this database schema change? I think it's better if we just automate it. I already did the terraform init and ran aws iam create user to set up permissions. Now I need a migration script because I am about to do a git merge into main. After that, I will probably run helm upgrade --values for the config, and then maybe helm upgrade --atomic to make sure it rolls back if it fails. Can you write that script for me, please?

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“dash dash values”规范化成了“--values”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash dash values”
- 不存在这个词或规范化结果

Question: output中是否将“dash dash atomic”规范化成了“--atomic”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash dash atomic”
- 不存在这个词或规范化结果

Question: output中是否存在“database schema change”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“terraform init”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“aws iam create user”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“git merge into main”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“migration script”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey, can you help me add authentication middleware to my Express app? I need it to parse the token from a response using jq minus r... wait, no, using jq map dot name. I was trying to run terraform validate and then git stash pop to get my changes back... I mean... if we could just... maybe integrate it so I can check the bucket with aws s3 ls. I need to run the run the script and... and the script should check the user roles... oh not roles, the user permissions for the five hundred twelve endpoints.

Hey, can you help me add authentication middleware to my Express app? I need it to parse the token from a response using jq map .name. I was trying to run terraform validate and then git stash pop to get my changes back, if we could just integrate it so I can check the bucket with aws s3 ls. I need to run the script and the script should check the user permissions for the 512 endpoints.

Question: output中是否保留了“authentication middleware”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“Express app”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“jq map dot name”规范化成了“jq map .name”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“jq map dot name”
- 不存在这个词或规范化结果

Question: output中是否将“user roles... oh not roles, the user permissions”处理成了“user permissions”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

user roles... oh not roles, the user permissions -> user permissions

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

I mean... if we could just... maybe, run the run the, and... and

Question: output中是否将“five hundred twelve”规范化成了“512”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“five hundred twelve”
- 不存在这个词或规范化结果

Question: output中是否保留了“terraform validate”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“git stash pop”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“aws s3 ls”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反


Honestly, I think we have a memory leak... a memory leak in the pod. I tried docker build, then... how should I put it... I ran helm upgrade dash dash atomic. Wait, I meant helm upgrade dash dash install, no, it was atomic. I used aws ssm put parameter to update config, but the pods keep crashing. I tried ssh dash L to tunnel in... tunnel in and ran aws rds describe dash db dash instances to check connection. I think the memory usage is... is getting higher and higher in the new system.

Honestly, I think we have a memory leak in the pod. I tried docker build, then I ran helm upgrade --atomic. I used aws ssm put-parameter to update config, but the pods keep crashing. I tried ssh -L to tunnel in and ran aws rds describe-db-instances to check connection. I think the memory usage is getting higher and higher in the new system.

Question: output中是否保留了“pod中的内存泄漏”（memory leak in the pod）这一语义？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: "memory leak in the pod" / oral: "memory leak... a memory leak in the pod"

Question: output中是否保留了“pods持续崩溃”（pods keep crashing）这一语义？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“检查连接”（check connection）这一语义？

Choices:
- 完整保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“dash dash atomic”规范化成了“--atomic”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash dash atomic”
- 不存在该词或规范化结果错误

clean: "--atomic" / oral: "dash dash atomic"

Question: output中是否将“put parameter”规范化成了“put-parameter”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“put parameter”
- 不存在该词或规范化结果错误

clean: "put-parameter" / oral: "put parameter"

Question: output中是否将“ssh dash L”规范化成了“ssh -L”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ssh dash L”
- 不存在该词或规范化结果错误

Question: output中是否将“describe dash db dash instances”规范化成了“describe-db-instances”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“describe dash db dash instances”
- 不存在该词或规范化结果错误

clean: "describe-db-instances" / oral: "describe dash db dash instances"

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: "...", "how should I put it", "tunnel in... tunnel in", "is... is"

Question: output中是否去除了“Wait, I meant helm upgrade dash dash install, no, it was atomic”的纠错过程，并保留了最终结果“helm upgrade --atomic”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

clean: "helm upgrade --atomic" / oral: "helm upgrade dash dash atomic. Wait, I meant helm upgrade dash dash install, no, it was atomic."


If terraform validate passes, then we could check helm rollout history or kubectl get events, maybe run helm template and openssl x509 -in to verify certs.

Question: output中是否存在“terraform validate passes”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“helm rollout history”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“kubectl get events”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“helm template”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“verify certs”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“dash in”规范化成了“-in”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash in”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: If terraform validate passes, then we could check helm rollout history or kubectl get events, maybe run helm template and openssl x509 dash in to verify certs.


Hey, if this bash script still uses docker push... oh wait, not docker pull, then we could rewrite it as Python CLI tool. Like, handle terraform plan, openssl x five hundred nine, and wget dash c, plus that openssl s underscore client dash connect part too.

Hey, if this bash script still uses docker push, then we could rewrite it as a Python CLI tool. Handle terraform plan, openssl x509, and wget -c, plus that openssl s_client -connect part too.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“docker push... oh wait, not docker pull”处理成了“docker push”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

docker push... oh wait, not docker pull -> docker push

Question: output中是否将“openssl x five hundred nine”规范化成了“openssl x509”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“openssl x five hundred nine”
- 不存在这个词或规范化结果

openssl x five hundred nine -> openssl x509

Question: output中是否将“wget dash c”规范化成了“wget -c”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“wget dash c”
- 不存在这个词或规范化结果

Question: output中是否将“openssl s underscore client dash connect”规范化成了“openssl s_client -connect”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“openssl s underscore client dash connect”
- 不存在这个词或规范化结果

openssl s underscore client dash connect -> openssl s_client -connect

Question: output中是否存在“bash script”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“Python CLI tool”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“terraform plan”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Need migration script for user table. Need migration script because I gotta git commit dash m then git push origin. Also check gcloud compute instances list and curl dash L the endpoint, then aws secrets manager get secret value for keys.

Need migration script for user table. Need migration script because I gotta git commit -m then git push origin. Also check gcloud compute instances list and curl -L the endpoint, then aws secrets manager get secret value for keys.

Question: output中是否保留了“migration script for user table”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“git push origin”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“gcloud compute instances list”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“aws secrets manager get secret value”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“dash m”规范化成了“-m”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash m”
- 不存在这个词或规范化结果

Question: output中是否将“dash L”规范化成了“-L”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash L”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

无口语词、犹豫词、插入语；“Need migration script”重复但clean中已保留，不属于需过滤的口语重复。


First I ran terraform workspace select, terraform workspace select to switch env. Then I tried terraform import, wait, I mean I used terraform import to bring in state. Finally I did helm upgrade dash dash install and curl dash k, curl dash k to check, then ssh dash R for tunnel, but memory keep climbing.

1. I ran terraform workspace select to switch env.
2. I used terraform import to bring in state.
3. I did helm upgrade --install, curl -k to check, then ssh -R for tunnel, but memory keep climbing.

Question: output中是否存在“terraform workspace select”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: terraform workspace select; clean: terraform workspace select

Question: output中是否将“First”规范化成了“1.”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“First”
- 不存在这个词或规范化结果

Question: output中是否将“Then”规范化成了“2.”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“Then”
- 不存在这个词或规范化结果

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“Finally”
- 不存在这个词或规范化结果

Question: output中是否将“dash dash”规范化成了“--”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash dash”
- 不存在这个词或规范化结果

Question: output中是否将“dash k”规范化成了“-k”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash k”
- 不存在这个词或规范化结果

Question: output中是否将“ssh dash R”规范化成了“ssh -R”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ssh dash R”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: terraform workspace select, terraform workspace select; curl dash k, curl dash k; clean: terraform workspace select; curl -k

Question: output中是否将“tried terraform import, wait, I mean I used”处理成了“used”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: tried terraform import, wait, I mean I used; clean: used

Question: output中是否存在“bring in state”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: bring in state; clean: bring in state

Question: output中是否存在“memory keep climbing”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: memory keep climbing; clean: memory keep climbing


Hey, this SQL query performance is just... uh, it's more like a slow crawl than a quick fetch. I already checked gcloud sql instances list and terraform output, but nothing. Can you optimize it? It feels more like trying to run kubectl describe node on a thousand pods than a simple select.

Hey, this SQL query performance is just more like a slow crawl than a quick fetch. I already checked gcloud sql instances list and terraform output, but nothing. Can you optimize it? It feels more like trying to run kubectl describe node on a thousand pods than a simple select.

Question: output中是否保留了“SQL query performance”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: Hey, this SQL query performance is just...

Question: output中是否保留了“slow crawl”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: ...more like a slow crawl than a quick fetch.

Question: output中是否保留了“quick fetch”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“gcloud sql instances list”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: I already checked gcloud sql instances list...

Question: output中是否保留了“terraform output”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: ...and terraform output, but nothing.

Question: output中是否保留了“optimize it”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“kubectl describe node”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: ...trying to run kubectl describe node on a thousand pods...

Question: output中是否保留了“thousand pods”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: ...on a thousand pods than a simple select.

Question: output中是否保留了“simple select”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在


Can you help me clean up this function? Actually, actually I think it needs a full refactor. This block is a mess, it mixes git cherry pick and git rebase dash i logic with cloud commands like az appservice plan create. It even has these raw openssl x five hundred nine and openssl dgst dash s h a two hundred fifty six calls. The logic... the logic is all tangled. I want you to separate the git operations and these openssl commands into different modules. This function is too long, too long for one file.

Can you help me clean up this function? I think it needs a full refactor. This block is a mess; it mixes git cherry-pick and git rebase -i logic with cloud commands like az appservice plan create. It even has these raw openssl x509 and openssl dgst -sha256 calls. The logic is all tangled. I want you to separate the git operations and these openssl commands into different modules. This function is too long for one file.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Actually, actually; The logic... the logic; too long, too long

Question: output中是否将“git cherry pick”规范化成了“git cherry-pick”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“git cherry pick”
- 不存在这个词或规范化结果

Question: output中是否将“git rebase dash i”规范化成了“git rebase -i”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“git rebase dash i”
- 不存在这个词或规范化结果

Question: output中是否将“openssl x five hundred nine”规范化成了“openssl x509”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“openssl x five hundred nine”
- 不存在这个词或规范化结果

openssl x five hundred nine -> openssl x509

Question: output中是否将“openssl dgst dash s h a two hundred fifty six”规范化成了“openssl dgst -sha256”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“openssl dgst dash s h a two hundred fifty six”
- 不存在这个词或规范化结果

openssl dgst dash s h a two hundred fifty six -> openssl dgst -sha256

Question: output中是否存在“az appservice plan create”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“full refactor”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“separate the git operations and these openssl commands into different modules”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey, check flight status for flight one hundred twenty. I thought it was delayed three and a half hours, oh no, it's just a short delay. Check check the gate. I was looking at... I mean, I was browsing Pinterest and Duolingo and saw some ad for eighty-eight cents, but that's not it. The flight... the flight is departing from terminal two, no, terminal three. Wait, it's departing from terminal three. Is it on time or on time for the gate change? I need to know if it's still at the same gate.

Hey, check flight status for flight 120. I thought it was delayed 3.5 hours, no, it's just a short delay. Check the gate. I was browsing Pinterest and Duolingo and saw some ad for $0.88, but that's not it. The flight is departing from terminal 3. Is it on time for the gate change? I need to know if it's still at the same gate.

Question: output中是否将“one hundred twenty”规范化成了“120”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“one hundred twenty”或其等价读法
- 不存在该词或规范化结果错误

oral: flight one hundred twenty; clean: flight 120

Question: output中是否将“three and a half hours”规范化成了“3.5 hours”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“three and a half hours”或其等价读法
- 不存在该词或规范化结果错误

oral: delayed three and a half hours; clean: delayed 3.5 hours

Question: output中是否将“eighty-eight cents”规范化成了“$0.88”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“eighty-eight cents”或其等价读法
- 不存在该词或规范化结果错误

oral: ad for eighty-eight cents; clean: ad for $0.88

Question: output中是否将“terminal three”规范化成了“terminal 3”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“terminal three”或其等价读法
- 不存在该词或规范化结果错误

oral: departing from terminal three; clean: departing from terminal 3

Question: output中是否存在“flight status”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: check flight status; clean: check flight status

Question: output中是否存在“short delay”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: it's just a short delay; clean: it's just a short delay

Question: output中是否存在“Pinterest”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: browsing Pinterest; clean: browsing Pinterest

Question: output中是否存在“Duolingo”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“same gate”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: at the same gate; clean: at the same gate

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: oh no, Check check, I was looking at... I mean,, The flight... the flight, Wait,

Question: output中是否将“terminal two, no, terminal three. Wait, it's departing from terminal three.”处理成了“terminal 3”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: departing from terminal two, no, terminal three. Wait, it's departing from terminal three.; clean: departing from terminal 3

Question: output中是否将“Is it on time or on time for the gate change?”处理成了“Is it on time for the gate change?”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: Is it on time or on time for the gate change?; clean: Is it on time for the gate change?


Maya, what score score is it for the Lakers game? Wait, not Lakers, oh no, the Celtics game. Tell me tell me the score and wake me up at seven tomorrow morning. Also, turn off all lights in living room and open Pin-t-rest for Sophia.

Maya, what score is it for the Celtics game? Tell me the score and wake me up at 7 tomorrow morning. Also, turn off all lights in the living room and open Pinterest for Sophia.

Question: output中是否存在“Maya”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“what score is it”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“Lakers game? Wait, not Lakers, oh no, the Celtics game”处理成了“Celtics game”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

Lakers game? Wait, not Lakers, oh no, the Celtics game -> Celtics game

Question: output中是否存在“the score”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“wake me up”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“seven”规范化成了“7”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“seven”
- 不存在这个词或规范化结果

Question: output中是否存在“turn off all lights”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“in the living room”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“Pin-t-rest”规范化成了“Pinterest”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“Pin-t-rest”
- 不存在这个词或规范化结果

Question: output中是否存在“Sophia”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在


Hey, find that podcast with... uh... the one about Dominic and Isabella. Also, set alarm for seven fifteen tomorrow, and then... wait, no... actually, what's definition of serendipity? Plus, call my brother on speaker.

Hey, find that podcast with the one about Dominic and Isabella. Also, set alarm for 7:15 tomorrow, and then what's the definition of serendipity? Plus, call my brother on speaker.

Question: output中是否将人名“Dominic”和“Isabella”进行了首字母大写的规范化？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“Dominic”和“Isabella”
- 不存在这个词或规范化结果

clean: Dominic and Isabella; oral: Dominic and Isabella

Question: output中是否将“seven fifteen”规范化成了“7:15”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“seven fifteen”
- 不存在这个词或规范化结果

Question: output中是否存在“find that podcast”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: find that podcast; oral: find that podcast

Question: output中是否存在“call my brother on speaker”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: call my brother on speaker; oral: call my brother on speaker

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“wait, no... actually, what's definition of serendipity”处理成了“what's the definition of serendipity”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

clean: what's the definition of serendipity; oral: wait, no... actually, what's definition of serendipity


Can you help me port this bash script into a Python CLI tool? Actually I want I want to convert it. It uses openssl x five zero nine and wget dash O to fetch files, then it uses jq quote map dot name quote for parsing, and it needs to run terraform fmt and ssh dash o for config. Wait, I mean it should handle ssh dash o options, it should handle options in Python. I think we can use a library for that, but it must be fast, fast enough for production, so we need to make sure it's efficient in the new version.

Can you help me convert this bash script into a Python CLI tool? It uses openssl x509 and wget -O to fetch files, then it uses jq "map(.name)" for parsing, and it needs to run terraform fmt and ssh -o for config. It should handle options in Python. I think we can use a library for that, but it must be fast enough for production, so we need to make sure it's efficient in the new version.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Actually I want I want to convert it., Wait, I mean, fast, fast

Question: output中是否将“x five zero nine”规范化成了“x509”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“x five zero nine”
- 不存在这个词或规范化结果

openssl x five zero nine -> openssl x509

Question: output中是否将“dash O”规范化成了“-O”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“dash O”
- 不存在这个词或规范化结果

Question: output中是否将“quote map dot name quote”规范化成了“"map(.name)"”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“quote map dot name quote”
- 不存在这个词或规范化结果

jq quote map dot name quote -> jq "map(.name)"

Question: output中是否将“ssh dash o”规范化成了“ssh -o”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ssh dash o”
- 不存在这个词或规范化结果

Question: output中是否将“port”处理成了“convert”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

port this bash script... Actually I want I want to convert it -> convert this bash script

Question: output中是否将“Wait, I mean it should handle ssh dash o options, it should handle options in Python.”处理成了“It should handle options in Python.”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

Wait, I mean it should handle ssh dash o options, it should handle options in Python. -> It should handle options in Python.

Question: output中是否存在“terraform fmt”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“Python CLI tool”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“fetch files”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“efficient in the new version”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Wait, people think we need kubectl delete namespace, no, not that, we just need to update the schema. I mean, we need to update update the schema. I think... if we... how to put it... if we use aws eks update-kubeconfig first... wait, no, gcloud compute instances list first. Just give me migration script for the users table, users table, for that new column. I need it to be... to be compatible with the current version. Oh, I mean... the version two point zero. I'm working in this new new environment.

People think we need kubectl delete namespace, but we just need to update the schema. If we use gcloud compute instances list first, just give me the migration script for the users table for that new column. I need it to be compatible with version 2.0. I'm working in this new environment.

Question: output中是否存在“kubectl delete namespace”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: kubectl delete namespace; clean: kubectl delete namespace

Question: output中是否将“no, not that”等否定过程去除，并保留了“we just need to update the schema”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: no, not that, we just need to update the schema; clean: but we just need to update the schema

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: update update, users table users table, new new; clean: update, users table, new

Question: output中是否将“aws eks update-kubeconfig”等纠错过程去除，并保留了最终结果“gcloud compute instances list”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: aws eks update-kubeconfig first... wait, no, gcloud compute instances list first; clean: gcloud compute instances list first

Question: output中是否存在“migration script”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: migration script; clean: migration script

Question: output中是否存在“users table”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“the current version”等重新表述过程去除，并保留了最终结果“version two point zero”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: the current version. Oh, I mean... the version two point zero; clean: version 2.0

Question: output中是否将“two point zero”规范化成了“2.0”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“two point zero”
- 不存在这个词或规范化结果

Question: output中是否存在“new environment”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

oral: new environment; clean: new environment


Hey kitchen speaker, if eighty eight percent of a cup is too much... then we could use... use half a cup. Wait, actually, call my brother on speaker. Call my brother on speaker to ask him. Also, set an alarm for seven forty five and... open You tube on the kitchen speakar.

Hey kitchen speaker, if 88% of a cup is too much, then we could use half a cup. Call my brother on speaker to ask him. Also, set an alarm for 7:45 and open YouTube on the kitchen speaker.

Question: output中是否将“eighty eight percent”规范化成了“88%”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“eighty eight percent”
- 不存在这个词或规范化结果

oral: "eighty eight percent", clean: "88%"

Question: output中是否将“seven forty five”规范化成了“7:45”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“seven forty five”
- 不存在这个词或规范化结果

Question: output中是否将“You tube”规范化成了“YouTube”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“You tube”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: "use... use", "Wait, actually", clean: 无

Question: output中是否将“Wait, actually, call my brother on speaker. Call my brother on speaker to ask him.”处理成了“Call my brother on speaker to ask him.”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: "Wait, actually, call my brother on speaker. Call my brother on speaker to ask him.", clean: "Call my brother on speaker to ask him."

Question: output中是否存在“half a cup”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“kitchen speaker”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“set an alarm”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Actually, uh, set timer for ten minutes. Oh, and just... search for best pizza place nearby, maybe order pepperoni pizza from Dominoes, ya. I think I'll check TikTok, just... how should I put it... just for reviews, ba.

Set timer for 10 minutes. Search for best pizza place nearby, maybe order pepperoni pizza from Domino's. I think I'll check TikTok for reviews.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Actually, uh / Oh, and just... / ya / just... how should I put it... just / ba

Question: output中是否将“ten minutes”规范化成了“10 minutes”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ten minutes”
- 不存在这个词或规范化结果

Question: output中是否将“Dominoes”规范化成了“Domino's”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“Dominoes”
- 不存在这个词或规范化结果

Question: output中是否将“just... how should I put it... just for reviews”处理成了“for reviews”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

just... how should I put it... just for reviews -> for reviews

Question: output中是否存在“set timer”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“best pizza place nearby”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“pepperoni pizza”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“check TikTok”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey, check flight status for... check flight status for my trip. Also, find nearest Whole Foods... oh no, nearest airport parking. Wait, actually, schedule a meeting with Sarah for tomorrow at two P M. And check if Duolingo... Duolingo app updated. Oh, and... open Pinterest... no, open Pinterest at eleven forty five P M.

Hey, check flight status for my trip. Also, find nearest airport parking. Schedule a meeting with Sarah for tomorrow at 2pm. And check if the Duolingo app updated. Oh, and open Pinterest at 11:45pm.

Question: output中是否保留了“flight status”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“my trip”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“nearest Whole Foods... oh no, nearest airport parking”处理成了“nearest airport parking”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: find nearest Whole Foods... oh no, nearest airport parking. clean: find nearest airport parking.

Question: output中是否将“two P M”规范化成了“2pm”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“two P M”
- 不存在这个词或规范化结果

Question: output中是否保留了“Sarah”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“Duolingo app”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: check if the Duolingo app updated

Question: output中是否将“open Pinterest... no, open Pinterest”处理成了“open Pinterest”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: open Pinterest... no, open Pinterest. clean: open Pinterest

Question: output中是否将“eleven forty five P M”规范化成了“11:45pm”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“eleven forty five P M”
- 不存在这个词或规范化结果

oral: eleven forty five P M. clean: 11:45pm

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: check flight status for... check flight status, Wait, actually, Duolingo... Duolingo, Oh, and...


Hey, wait, I thought one cup was eight ounces but eh, that's only for liquid. How many grams in one cup of flour? Also, read my unread emails from today on Discord, Coursera, and LinkedIn.

Hey, wait, I thought 1 cup was 8 ounces but that's only for liquid. How many grams in 1 cup of flour? Also, read my unread emails from today on Discord, Coursera, and LinkedIn.

Question: output中是否将“one cup”规范化成了“1 cup”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“one cup”
- 不存在这个词或规范化结果

Question: output中是否将“eight ounces”规范化成了“8 ounces”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“eight ounces”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: 'but eh, that's', clean: 'but that's'

Question: output中是否存在“only for liquid”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“grams in 1 cup of flour”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: 'How many grams in 1 cup of flour?'

Question: output中是否存在“read my unread emails from today”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: 'read my unread emails from today'

Question: output中是否存在“Discord, Coursera, and LinkedIn”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: 'on Discord, Coursera, and LinkedIn'


Play my workout playlist for 15 minutes, also set smart thermostat, and then set an alarm for 7:15 tomorrow, plus find closest gas station and read my last 3 unread emails

Question: output中是否存在“workout playlist”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“smart thermostat”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“closest gas station”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“unread emails”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“seven fifteen”规范化成了“7:15”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“seven fifteen”
- 不存在这个词或规范化结果

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“fifteen”
- 不存在这个词或规范化结果

Question: output中是否将“three”规范化成了“3”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“three”
- 不存在这个词或规范化结果


Hey, I'm not totally sure but I think... I think it's a song Isabella and Penelope found on Pinterest. It's... wait, it's the one Julian likes. Let me... let me hum it. Hmm, it sounds like... well, if I can remember... it's like this. Does it sound like something from city library playlist?

Hey, I'm not totally sure but I think it's a song Isabella and Penelope found on Pinterest. It's the one Julian likes. Let me hum it. It sounds like this. Does it sound like something from the city library playlist?

Question: output中是否存在“Isabella and Penelope found on Pinterest”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: Isabella and Penelope found on Pinterest

Question: output中是否存在“Julian likes”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“the city library playlist”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“It's... wait, it's”处理成了“It's”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: I think... I think / Let me... let me / Hmm / well / if I can remember


Hey, my friend said it's gonna rain all weekend, but I think it'll be fine. Um, what's weather forecast for Saturday and Sunday? Also, find closest twenty four hour gym. Wait, I need to check TikTok... oh no, Airbnb for my trip. What's on my calendar for next Tuesday? Like, ninety seconds from now, tell me if I have any meetings.

Hey, my friend said it's gonna rain all weekend, but I think it'll be fine. What's the weather forecast for Saturday and Sunday? Also, find the closest 24-hour gym. I need to check Airbnb for my trip. What's on my calendar for next Tuesday? 90 seconds from now, tell me if I have any meetings.

Question: output中是否保留了“weather forecast”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否保留了“Saturday and Sunday”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否保留了“next Tuesday”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“twenty four hour”规范化成了“24-hour”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“twenty four hour”
- 不存在这个词或规范化结果

find closest twenty four hour gym -> find the closest 24-hour gym

Question: output中是否将“ninety”规范化成了“90”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ninety”
- 不存在这个词或规范化结果

ninety seconds from now -> 90 seconds from now

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“TikTok... oh no, Airbnb”处理成了“Airbnb”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

Wait, I need to check TikTok... oh no, Airbnb for my trip. -> I need to check Airbnb for my trip.


Hey Siri, tell me scores for the game. Give me give me the score. Wait, for the Snapchat league... no, DoorDash league. Did they hit eleven thousand points? Eleven thousand points? Also find closest gym, then open Duolingo.

Hey Siri, tell me scores for the game. Give me the score for the DoorDash league. Did they hit 11,000 points? Also find closest gym, then open Duolingo.

Question: output中是否保留了“scores for the game”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“Snapchat league... no, DoorDash league”处理成了“DoorDash league”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

Question: output中是否将“eleven thousand”规范化成了“11,000”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“eleven thousand”
- 不存在这个词或规范化结果

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Give me give me the score. / Eleven thousand points? Eleven thousand points?

Question: output中是否保留了“closest gym”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“Duolingo”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“Hey Siri”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反


Honestly, uh, search for best pizza place nearby. Oh wait, also what's on my calendar for next Tuesday? And, just... book ride to airport for tomorrow at five. Oh, and send it to Xavier and Sophia.

Honestly, search for the best pizza place nearby. Also, what's on my calendar for next Tuesday? And just book a ride to the airport for tomorrow at 5. Oh, and send it to Xavier and Sophia.

Question: output中是否存在“best pizza place nearby”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: search for the best pizza place nearby

Question: output中是否存在“what's on my calendar for next Tuesday”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

clean: what's on my calendar for next Tuesday

Question: output中是否存在“book a ride to the airport”或“book ride to airport”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“for tomorrow”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“send it to Xavier and Sophia”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“five”规范化成了“5”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“five”
- 不存在“five”或“5”

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在


Wow! Quick, tell me score score of the game. Also... check if I got... check if I got any new messages on Discord, and read my last unread email. Then open Coursera, open Coursera and Twitch.

Wow! Quick, tell me the score of the game. Also, check if I got any new messages on Discord, and read my last unread email. Then open Coursera and Twitch.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

score score, check if I got... check if I got, open Coursera, open Coursera

Question: output中是否存在“score of the game”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“new messages on Discord”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“last unread email”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否将“Discord”首字母大写？

Choices:
- 首字母大写
- 存在该词但首字母小写
- 不存在该词

Question: output中是否将“Coursera”首字母大写？

Choices:
- 首字母大写
- 存在该词但首字母小写
- 不存在该词

Question: output中是否将“Twitch”首字母大写？

Choices:
- 首字母大写
- 存在该词但首字母小写
- 不存在该词


Hey, uh, can you find this song? Hmm, it goes like... wait, let me... it sounds like Maya singing, plus also check if Oliver or Olivia shared it on Discord, and then just... just search Coursera for that music course, yeah.

Hey, can you find this song? It sounds like Maya singing, plus also check if Oliver or Olivia shared it on Discord, and then just search Coursera for that music course, yeah.

Question: output中是否保留了“find this song”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“music course”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否将“maya”规范化成了首字母大写的“Maya”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“maya”或“Maya”
- 不存在这个词或规范化错误

Question: output中是否将“oliver”规范化成了首字母大写的“Oliver”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“oliver”或“Oliver”
- 不存在这个词或规范化错误

Question: output中是否将“olivia”规范化成了首字母大写的“Olivia”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“olivia”或“Olivia”
- 不存在这个词或规范化错误

Question: output中是否将“discord”规范化成了首字母大写的“Discord”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“discord”或“Discord”
- 不存在这个词或规范化错误

Question: output中是否将“coursera”规范化成了首字母大写的“Coursera”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“coursera”或“Coursera”
- 不存在这个词或规范化错误

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“it goes like... wait, let me... it sounds like”处理成了“it sounds like”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语


Julian said just... uh... turn off all the lights in living room. I think he's crazy. Add... uh... LinkedIn... no, Pinterest... wait wrong, it's Duolingo to shopping list. Oh wait, I meant milk!

Julian said just turn off all the lights in the living room. I think he's crazy. Add milk to shopping list.

Question: output中是否保留了“turn off all the lights in living room”或“turn off all the lights in the living room”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

turn off all the lights in living room / turn off all the lights in the living room

Question: output中是否保留了“I think he's crazy”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“LinkedIn... no, Pinterest... wait wrong, it's Duolingo... Oh wait, I meant milk!”处理成了“milk”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

LinkedIn... no, Pinterest... wait wrong, it's Duolingo... Oh wait, I meant milk! -> milk

Question: output中是否保留了“shopping list”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反


Set timer for ten minutes. If timer goes off... then we could check Waze, check Waze for traffic. Also add organic eggs to my grocery list. Remind me to finish Coursera course... no, finish Udemy course tomorrow. Find nearest DMV and close window blinds, close window blinds.

Set timer for 10 minutes. If timer goes off, then we could check Waze for traffic. Also add organic eggs to my grocery list. Remind me to finish Udemy course tomorrow. Find nearest DMV and close window blinds.

Question: output中是否将“ten minutes”规范化成了“10 minutes”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“ten minutes”
- 不存在这个词或规范化结果

Question: output中是否将“Coursera course... no, finish Udemy course”处理成了“Udemy course”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: Coursera course... no, finish Udemy course; clean: Udemy course

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: check Waze, check Waze; close window blinds, close window blinds

Question: output中是否存在“organic eggs”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“grocery list”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“nearest DMV”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“check Waze for traffic”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Sebastian, wait, what time... uh, just start a workout for thirty minutes. And check traffic on the way to airport. Oh, and check my Zoom, wait, no, check Tinder. Is it... is it raining? No, it's fine. Actually, what's traffic like on the way to airport? Oh, wait, I already asked that. Just do it.

Sebastian, what time... just start a workout for 30 minutes. And check traffic on the way to the airport. Oh, and check Tinder. Is it raining? No, it's fine. What's traffic like on the way to the airport? Oh, wait, I already asked that. Just do it.

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

Question: output中是否将“thirty minutes”规范化成了“30 minutes”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“thirty minutes”
- 不存在这个词或规范化结果

Question: output中是否将“check my Zoom, wait, no, check Tinder”处理成了“check Tinder”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

check my Zoom, wait, no, check Tinder -> check Tinder

Question: output中是否存在“start a workout”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“check traffic”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“Is it raining”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反


Hey, what's weather like this weekend? Oh, wait, I can just check. Actually, uh, check weather for Saturday and Sunday. And also, find nearest twenty four hour gym... no, wait, local pharmacy. And tell Isabella how long does it take to get to airport. Oh, and check if Tinder notification is on.

Hey, what's the weather like this weekend? Check weather for Saturday and Sunday. And also, find nearest 24-hour local pharmacy. And tell Isabella how long does it take to get to the airport. Oh, and check if Tinder notification is on.

Question: output中是否保留了“weather like this weekend”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: "what's the weather like this weekend?"

Question: output中是否保留了“Saturday and Sunday”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: "Check weather for Saturday and Sunday."

Question: output中是否将“twenty four hour”规范化成了“24-hour”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“twenty four hour”
- 不存在这个词或规范化结果错误

oral: "twenty four hour", clean: "24-hour"

Question: output中是否保留了“local pharmacy”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: "find nearest 24-hour local pharmacy."

Question: output中是否保留了“Isabella”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

Question: output中是否保留了“how long does it take to get to the airport”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: "how long does it take to get to the airport."

Question: output中是否保留了“Tinder notification is on”？

Choices:
- 完整或等价保留
- 部分保留或近似但不完整
- 缺失或含义相反

clean: "check if Tinder notification is on."

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

oral: "Oh, wait", "Actually, uh", "no, wait", "Oh"

Question: output中是否将“gym... no, wait, local pharmacy”处理成了“local pharmacy”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

oral: "gym... no, wait, local pharmacy", clean: "local pharmacy"


Hey, uh, find me that YouTube podcast about vacuum robot... vacuum robot technology, and, well, I think think it was episode twenty two. Actually, it was... maybe episode twenty five? Do you think it's worth a listen, huh?

Hey, find me that YouTube podcast about vacuum robot technology, and I think it was episode 25. Do you think it's worth a listen?

Question: output中是否出现了oral中的口语词，或重复词语情况？

Choices:
- 不存在
- 仍存在

uh, vacuum robot... vacuum robot, well, think think, huh

Question: output中是否将“vacuum robot... vacuum robot technology”处理成了“vacuum robot technology”？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

vacuum robot... vacuum robot technology -> vacuum robot technology

Question: output中是否将“episode twenty two. Actually, it was... maybe episode twenty five”处理成了“episode twenty five”（或“episode 25”）？

Choices:
- 进行了相同处理
- 去除了解释性语句但没保留最终结果
- 没有去除
- output中没有相关话语

episode twenty two. Actually, it was... maybe episode twenty five -> episode 25

Question: output中是否将“twenty five”规范化成了“25”？

Choices:
- 进行了相同或合理的规范化
- 没有进行规范化但存在“twenty five”
- 不存在这个词或规范化结果

Question: output中是否存在“YouTube podcast”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反

Question: output中是否存在“worth a listen”？

Choices:
- 有
- 没有这个词或只有一部分
- 和这个词含义相反