Generating cluster region ground truth

I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?

you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
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you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHubhttps://github.com/fyangneil/Clustered-Object-Detection-in-Aerial-Image/issues/14, or unsubscribehttps://github.com/notifications/unsubscribe-auth/ALAUWTR7R54GN77T3FZWB2DS37IYVANCNFSM4WU4F3BQ.
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run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHubhttps://github.com/fyangneil/Clustered-Object-Detection-in-Aerial-Image/issues/14, or unsubscribehttps://github.com/notifications/unsubscribe-auth/ALAUWTR7R54GN77T3FZWB2DS37IYVANCNFSM4WU4F3BQ.
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Do you have pretrained weights?28.01.2021, 11:45, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
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Do you have pretrained weights?28.01.2021, 11:45, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
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the cluster box is not in a simple file, it is stored as a class of object with other normal object boxes. Sorry, since it is long time ago, I do not have any weight file in hand.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Thursday, January 28, 2021 8:31 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Do you have pretrained weights?28.01.2021, 11:45, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
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the cluster box is not in a simple file, it is stored as a class of object with other normal object boxes. Sorry, since it is long time ago, I do not have any weight file in hand.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Thursday, January 28, 2021 8:31 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Do you have pretrained weights?28.01.2021, 11:45, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
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I have fail when I run train, I think that is problem with version of cudnn. What version of cudnn you used?28.01.2021, 18:28, "fyangneil"<EMAIL_ADDRESS>the cluster box is not in a simple file, it is stored as a class of object with other normal object boxes. Sorry, since it is long time ago, I do not have any weight file in hand.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Thursday, January 28, 2021 8:31 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Do you have pretrained weights?28.01.2021, 11:45, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
—
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I have fail when I run train, I think that is problem with version of cudnn. What version of cudnn you used?28.01.2021, 18:28, "fyangneil"<EMAIL_ADDRESS>the cluster box is not in a simple file, it is stored as a class of object with other normal object boxes. Sorry, since it is long time ago, I do not have any weight file in hand.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Thursday, January 28, 2021 8:31 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Do you have pretrained weights?28.01.2021, 11:45, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:And why is clustered bboxes written in one file with simple bboxes? I would like to know how I should set data with clustered bboxes that I could train.28.01.2021, 10:37, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:I have one more question. In detectron it is need to convert data to cocoformat. I see that in visdrone2cocoformat.m it is with val data, but in add_cluster_annotation.m data is saved in old format.27.01.2021, 17:59, "fyangneil"<EMAIL_ADDRESS>then use boxes belong to the same cluster to yield a larger box as cluster box

From: Fan Yang<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:58 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Subject: Re: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
run meanshift clustering algorithm on location (x,y) of ground truth bounding box.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 9:55 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Fan Yang<EMAIL_ADDRESS>Comment<EMAIL_ADDRESS>Subject: [External] Re: [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
Ok, thank you, I thought about the same solution. Could you send me some material about how to generate clustered ground truth?27.01.2021, 17:49, "fyangneil"<EMAIL_ADDRESS>you can run it locally and transfer the ground truth file to server.

From: sh7jacobi<EMAIL_ADDRESS>Sent: Wednesday, January 27, 2021 3:59 AM
To: fyangneil/Clustered-Object-Detection-in-Aerial-Image<EMAIL_ADDRESS>Cc: Subscribed<EMAIL_ADDRESS>Subject: [External] [fyangneil/Clustered-Object-Detection-in-Aerial-Image] Generating cluster region ground truth (#14)
I want to train model in server, so I can not run:
run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.
When I run this I have permission denied.
I guess this is code implemented in Matlab. May by there is some python implementation?
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Hello, I have an error on train on first epoch: ...INFO loader.py: 235:   [50/64]INFO loader.py: 235:   [51/64]INFO loader.py: 235:   [52/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [55/64]INFO loader.py: 235:   [56/64]INFO loader.py: 235:   [57/64]INFO loader.py: 235:   [57/64]INFO loader.py: 235:   [58/64]INFO loader.py: 235:   [59/64]INFO loader.py: 235:   [61/64]INFO loader.py: 235:   [61/64]INFO loader.py: 235:   [61/64]INFO loader.py: 235:   [61/64]START IterTic !INFO detector.py: 753: Changing learning rate 0.000000 -> 0.000833 at iter 0START RunNet !I0202 13:32:29.233763  2948 context_gpu.cu:321] GPU 0: 811 MBI0202 13:32:29.233817  2948 context_gpu.cu:325] Total: 811 MBterminate called after throwing an instance of 'caffe2::EnforceNotMet'  what():  [enforce fail at conv_op_cudnn.cc:572] status == CUDNN_STATUS_SUCCESS. 8 vs 0. , Error at: /var/lib/jenkins/workspace/caffe2/operators/conv_op_cudnn.cc:572: CUDNN_STATUS_EXECUTION_FAILED Error from operator:input: "gpu_0/data" input: "gpu_0/conv1_w" output: "gpu_0/conv1" name: "" type: "Conv" arg { name: "kernel" i: 7 } arg { name: "exhaustive_search" i: 0 } arg { name: "pad" i: 3 } arg { name: "order" s: "NCHW" } arg { name: "stride" i: 2 } device_option { device_type: 1 cuda_gpu_id: 0 } engine: "CUDNN"*** Aborted at<PHONE_NUMBER> (unix time) try "date -d @1612272750" if you are using GNU date PC: @     0x7fdb9b88e428 gsignal SIGABRT (@0xb47) received by PID 2887 (TID 0x7fd9b17fa700) from PID 2887; stack trace: ***    @     0x7fdb9bc34390 (unknown)    @     0x7fdb9b88e428 gsignal    @     0x7fdb9b89002a abort    @     0x7fdb9593c84d __gnu_cxx::__verbose_terminate_handler()    @     0x7fdb9593a6b6 (unknown)    @     0x7fdb9593a701 std::terminate()    @     0x7fdb95965d38 (unknown)    @     0x7fdb9bc2a6ba start_thread    @     0x7fdb9b96041d clone    @                0x0 (unknown)Aborted (core dumped)   How I can fix it?

It fails on codeline: worspace.RunNet(model.net.Proto().name)02.02.2021, 16:45, "Якуб Шарафутдинов" dazgenovich2012@yandex.ru:Hello, I have an error on train on first epoch: ...INFO loader.py: 235:   [50/64]INFO loader.py: 235:   [51/64]INFO loader.py: 235:   [52/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [53/64]INFO loader.py: 235:   [55/64]INFO loader.py: 235:   [56/64]INFO loader.py: 235:   [57/64]INFO loader.py: 235:   [57/64]INFO loader.py: 235:   [58/64]INFO loader.py: 235:   [59/64]INFO loader.py: 235:   [61/64]INFO loader.py: 235:   [61/64]INFO loader.py: 235:   [61/64]INFO loader.py: 235:   [61/64]START IterTic !INFO detector.py: 753: Changing learning rate 0.000000 -> 0.000833 at iter 0START RunNet !I0202 13:32:29.233763  2948 context_gpu.cu:321] GPU 0: 811 MBI0202 13:32:29.233817  2948 context_gpu.cu:325] Total: 811 MBterminate called after throwing an instance of 'caffe2::EnforceNotMet'  what():  [enforce fail at conv_op_cudnn.cc:572] status == CUDNN_STATUS_SUCCESS. 8 vs 0. , Error at: /var/lib/jenkins/workspace/caffe2/operators/conv_op_cudnn.cc:572: CUDNN_STATUS_EXECUTION_FAILED Error from operator:input: "gpu_0/data" input: "gpu_0/conv1_w" output: "gpu_0/conv1" name: "" type: "Conv" arg { name: "kernel" i: 7 } arg { name: "exhaustive_search" i: 0 } arg { name: "pad" i: 3 } arg { name: "order" s: "NCHW" } arg { name: "stride" i: 2 } device_option { device_type: 1 cuda_gpu_id: 0 } engine: "CUDNN"*** Aborted at<PHONE_NUMBER> (unix time) try "date -d @1612272750" if you are using GNU date PC: @     0x7fdb9b88e428 gsignal SIGABRT (@0xb47) received by PID 2887 (TID 0x7fd9b17fa700) from PID 2887; stack trace: ***    @     0x7fdb9bc34390 (unknown)    @     0x7fdb9b88e428 gsignal    @     0x7fdb9b89002a abort    @     0x7fdb9593c84d __gnu_cxx::__verbose_terminate_handler()    @     0x7fdb9593a6b6 (unknown)    @     0x7fdb9593a701 std::terminate()    @     0x7fdb95965d38 (unknown)    @     0x7fdb9bc2a6ba start_thread    @     0x7fdb9b96041d clone    @                0x0 (unknown)Aborted (core dumped)   How I can fix it?


AttributeError with builtins.EnsmallenGraph

Guessing this is relevant to the updates for integrating ensmallen better.
When running
embedding, history = compute_node_embedding(cora, "CBOW", verbose=2)
the following error is raised:
Traceback (most recent call last):   File "embiggen_test.py", line 15, in <module>     embedding, history = compute_node_embedding(cora, "CBOW", verbose=2)   File "/home/jhc/embiggen/embiggen/pipelines/compute_node_embedding.py", line 300, in compute_node_embedding     if automatically_sort_by_decreasing_outbound_node_degree and node_embedding_method_name in REQUIRE_ZIPFIAN and not graph.has_nodes_sorted_by_decreasing_outbound_node_degree(): AttributeError: 'builtins.EnsmallenGraph' object has no attribute 'has_nodes_sorted_by_decreasing_outbound_node_degree'
Similarly, for the following:
embedding, history = compute_node_embedding(cora, "Siamese", verbose=2)
the result is:
Traceback (most recent call last):   File "embiggen_test.py", line 15, in <module>     embedding, history = compute_node_embedding(cora, "Siamese", verbose=2)   File "/home/jhc/embiggen/embiggen/pipelines/compute_node_embedding.py", line 328, in compute_node_embedding     graph.enable( ValueError: The following arguments are not valid keyword arguments for this function. {"vector_cumulative_node_degrees"}  the available ones are: {"cache_size", "vector_sources", "vector_outbounds", "vector_destinations"}

Hello @caufieldjh, that suggests that the Ensmallen version you are using is deprecated. From where did you install it? If you'd like we can setup a call to understand what is going wrong and fix it.

Thanks @LucaCappelletti94 - I tried a fresh rebuild of Ensmallen from source (from the develop branch) and now have some fresh errors upon loading the Cora graph:
Traceback (most recent call last):
File "embiggen_test.py", line 10, in
cora = Cora()
File "/home/jhc/.local/lib/python3.8/site-packages/ensmallen_graph/datasets/linqs/cora.py", line 109, in Cora
return AutomaticallyRetrievedGraph(
File "/home/jhc/.local/lib/python3.8/site-packages/ensmallen_graph/datasets/automatic_graph_retrieval.py", line 287, in call
) = edge_list_utils.build_optimal_lists_files(
ValueError: Neither nodes ID column or node types column were given!

Reproduced the error, on it!

Resolved, it was a recently introduced variable ghosting problem that only showed itself on graphs that require an additional preprocessing like Cora. Do let me know if everything runs smoothly!

Hello @caufieldjh, do feel free to open other issues for those errors (even though they are unclear), possibly they will be helpful in the future if someone else encounters them.


[vx.dev] implements #3

[vx.dev] This PR implements #3, created by vx.dev.

[vx.dev]: Based on the provided image, it appears to be a user interface for a system that manages check-ins, possibly for a gym or fitness center given the "FUEL" branding. The interface includes a member profile with a check-in time, a member note/alert, and a list of other members with their check-in times. There's also a date and time display, a notification indicator, and a settings icon.
To create a high-fidelity working prototype of this interface, I would use a combination of the available UI components and additional HTML and CSS for styling. Here's a static React JSX representation of the interface:
This code uses the Avatar, Alert, and Button components from the available UI components, as well as Settings, ChevronRight, and Bell icons from lucide-react. The layout is constructed using Flexbox and CSS Grid to arrange the elements as seen in the image. The member list is generated using a loop to create multiple similar elements. The logo, member image, and other images are placeholders and should be replaced with actual images in a production environment.


Module resolution: ESM-style namespace importing is broken

Demo Repo
https://github.com/kungfooman/ts_esm_fail
Which of the following problems are you reporting?
Something else more complicated which I'll explain in more detail
Demonstrate the defect described above with a code sample.
import * as ts from 'typescript';
// What could possibly go wrong... besides everything.
console.log("ts.ScriptTarget.Latest", ts.ScriptTarget.Latest);

Run tsc --showConfig and paste its output here
> error TS5081: Cannot find a tsconfig.json file at the current directory: /var/www/html/ts_esm_fail.

I have a `jsconfig.json`, fix your tool.

### Run `tsc --traceResolution` and paste its output here

Version 4.9.3
tsc: The TypeScript Compiler - Version 4.9.3
                                                                                TS
COMMON COMMANDS

  tsc
  Compiles the current project (tsconfig.json in the working directory.)

  tsc app.ts util.ts
  Ignoring tsconfig.json, compiles the specified files with default compiler options.

  tsc -b
  Build a composite project in the working directory.

  tsc --init
  Creates a tsconfig.json with the recommended settings in the working directory.

  tsc -p ./path/to/tsconfig.json
  Compiles the TypeScript project located at the specified path.

  tsc --help --all
  An expanded version of this information, showing all possible compiler options

  tsc --noEmit
  tsc --target esnext
  Compiles the current project, with additional settings.

COMMAND LINE FLAGS

     --help, -h  Print this message.

    --watch, -w  Watch input files.

          --all  Show all compiler options.

  --version, -v  Print the compiler's version.

         --init  Initializes a TypeScript project and creates a tsconfig.json file.

  --project, -p  Compile the project given the path to its configuration file, or to a folder with a 'tsconfig.json'.

    --build, -b  Build one or more projects and their dependencies, if out of date

   --showConfig  Print the final configuration instead of building.

COMMON COMPILER OPTIONS

               --pretty  Enable color and formatting in TypeScript's output to make compiler errors easier to read.
                  type:  boolean
               default:  true

           --target, -t  Set the JavaScript language version for emitted JavaScript and include compatible library declarations.
                one of:  es3, es5, es6/es2015, es2016, es2017, es2018, es2019, es2020, es2021, es2022, esnext
               default:  es3

           --module, -m  Specify what module code is generated.
                one of:  none, commonjs, amd, umd, system, es6/es2015, es2020, es2022, esnext, node16, nodenext
               default:  undefined

                  --lib  Specify a set of bundled library declaration files that describe the target runtime environment.
           one or more:  es5, es6/es2015, es7/es2016, es2017, es2018, es2019, es2020, es2021, es2022, esnext, dom, dom.iterable, webworker, webworker.importscripts, webworker.iterabl                         e, scripthost, es2015.core, es2015.collection, es2015.generator, es2015.iterable, es2015.promise, es2015.proxy, es2015.reflect, es2015.symbol, es2015.symbol.                         wellknown, es2016.array.include, es2017.object, es2017.sharedmemory, es2017.string, es2017.intl, es2017.typedarrays, es2018.asyncgenerator, es2018.asyncitera                         ble/esnext.asynciterable, es2018.intl, es2018.promise, es2018.regexp, es2019.array, es2019.object, es2019.string, es2019.symbol/esnext.symbol, es2019.intl, e                         s2020.bigint/esnext.bigint, es2020.date, es2020.promise, es2020.sharedmemory, es2020.string, es2020.symbol.wellknown, es2020.intl, es2020.number, es2021.prom                         ise/esnext.promise, es2021.string, es2021.weakref/esnext.weakref, es2021.intl, es2022.array/esnext.array, es2022.error, es2022.intl, es2022.object, es2022.sh                         aredmemory, es2022.string/esnext.string, esnext.intl
               default:  undefined

              --allowJs  Allow JavaScript files to be a part of your program. Use the 'checkJS' option to get errors from these files.
                  type:  boolean
               default:  false

              --checkJs  Enable error reporting in type-checked JavaScript files.
                  type:  boolean
               default:  false

                  --jsx  Specify what JSX code is generated.
                one of:  preserve, react, react-native, react-jsx, react-jsxdev
               default:  undefined

      --declaration, -d  Generate .d.ts files from TypeScript and JavaScript files in your project.
                  type:  boolean
               default:  `false`, unless `composite` is set

       --declarationMap  Create sourcemaps for d.ts files.
                  type:  boolean
               default:  false

  --emitDeclarationOnly  Only output d.ts files and not JavaScript files.
                  type:  boolean
               default:  false

            --sourceMap  Create source map files for emitted JavaScript files.
                  type:  boolean
               default:  false

              --outFile  Specify a file that bundles all outputs into one JavaScript file. If 'declaration' is true, also designates a file that bundles all .d.ts output.

               --outDir  Specify an output folder for all emitted files.

       --removeComments  Disable emitting comments.
                  type:  boolean
               default:  false

               --noEmit  Disable emitting files from a compilation.
                  type:  boolean
               default:  false

               --strict  Enable all strict type-checking options.
                  type:  boolean
               default:  false

                --types  Specify type package names to be included without being referenced in a source file.

      --esModuleInterop  Emit additional JavaScript to ease support for importing CommonJS modules. This enables 'allowSyntheticDefaultImports' for type compatibility.
                  type:  boolean
               default:  false

You can learn about all of the compiler options at https://aka.ms/tsc

Paste the package.json of the importing module, if it exists
{
  "name": "ts_esm_fail",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "type": "module",
  "scripts": {
    "start": "node src/index.js"
  },
  "author": "",
  "license": "ISC",
  "dependencies": {
    "typescript": "^5.4.5"
  }
}

Paste the package.json of the target module, if it exists
{
    "name": "typescript",
    "author": "Microsoft Corp.",
    "homepage": "https://www.typescriptlang.org/",
    "version": "5.4.5",
    "license": "Apache-2.0",
    "description": "TypeScript is a language for application scale JavaScript development",
    "keywords": [
        "TypeScript",
        "Microsoft",
        "compiler",
        "language",
        "javascript"
    ],
    "bugs": {
        "url": "https://github.com/Microsoft/TypeScript/issues"
    },
    "repository": {
        "type": "git",
        "url": "https://github.com/Microsoft/TypeScript.git"
    },
    "main": "./lib/typescript.js",
    "typings": "./lib/typescript.d.ts",
    "bin": {
        "tsc": "./bin/tsc",
        "tsserver": "./bin/tsserver"
    },
    "engines": {
        "node": ">=14.17"
    },
    "files": [
        "bin",
        "lib",
        "!lib/enu",
        "LICENSE.txt",
        "README.md",
        "SECURITY.md",
        "ThirdPartyNoticeText.txt",
        "!**/.gitattributes"
    ],
    "devDependencies": {
        "@esfx/canceltoken": "^1.0.0",
        "@octokit/rest": "^20.0.2",
        "@types/chai": "^4.3.11",
        "@types/glob": "^8.1.0",
        "@types/microsoft__typescript-etw": "^0.1.3",
        "@types/minimist": "^1.2.5",
        "@types/mocha": "^10.0.6",
        "@types/ms": "^0.7.34",
        "@types/node": "latest",
        "@types/source-map-support": "^0.5.10",
        "@types/which": "^3.0.3",
        "@typescript-eslint/eslint-plugin": "^6.19.0",
        "@typescript-eslint/parser": "^6.19.0",
        "@typescript-eslint/utils": "^6.19.0",
        "azure-devops-node-api": "^12.3.0",
        "c8": "^9.1.0",
        "chai": "^4.4.1",
        "chalk": "^4.1.2",
        "chokidar": "^3.5.3",
        "diff": "^5.1.0",
        "dprint": "^0.45.0",
        "esbuild": "^0.20.0",
        "eslint": "^8.56.0",
        "eslint-formatter-autolinkable-stylish": "^1.3.0",
        "eslint-plugin-local": "^3.1.0",
        "eslint-plugin-no-null": "^1.0.2",
        "eslint-plugin-simple-import-sort": "^10.0.0",
        "fast-xml-parser": "^4.3.3",
        "glob": "^10.3.10",
        "hereby": "^1.8.9",
        "jsonc-parser": "^3.2.0",
        "minimist": "^1.2.8",
        "mocha": "^10.2.0",
        "mocha-fivemat-progress-reporter": "^0.1.0",
        "ms": "^2.1.3",
        "node-fetch": "^3.3.2",
        "playwright": "^1.41.0",
        "source-map-support": "^0.5.21",
        "tslib": "^2.6.2",
        "typescript": "5.4.0-dev.20240119",
        "which": "^3.0.1"
    },
    "overrides": {
        "typescript@*": "$typescript"
    },
    "scripts": {
        "test": "hereby runtests-parallel --light=false",
        "test:eslint-rules": "hereby run-eslint-rules-tests",
        "build": "npm run build:compiler && npm run build:tests",
        "build:compiler": "hereby local",
        "build:tests": "hereby tests",
        "build:tests:notypecheck": "hereby tests --no-typecheck",
        "clean": "hereby clean",
        "gulp": "hereby",
        "lint": "hereby lint",
        "format": "dprint fmt",
        "setup-hooks": "node scripts/link-hooks.mjs"
    },
    "browser": {
        "fs": false,
        "os": false,
        "path": false,
        "crypto": false,
        "buffer": false,
        "@microsoft/typescript-etw": false,
        "source-map-support": false,
        "inspector": false,
        "perf_hooks": false
    },
    "packageManager"<EMAIL_ADDRESS>    "volta": {
        "node": "20.1.0",
        "npm": "8.19.4"
    }
}

Any other comments can go here
I'm doing the most normal ESM-style namespace importing, which everyone would simply expect to work, even your own types think so:

However, for some reason TS still believes that it only has to ship non-ESM files. It's 2024, why?!

I have a jsconfig.json, fix your tool.

tsc -p jsconfig.json

This is a duplicate of #56366, fixed by #57133 for TS 5.5. Please try the nightly.

However, for some reason TS still believes that it only has to ship non-ESM files. It's 2024, why?!

Many, many, many reasons. See also #58419.

Hey @jakebailey, thank you for the information and all the work you put into ESM (I wasn't aware of it at all, I apologize)!

Please try the RC or nightly, or write import ts from "typescript".

So I could just fix it by npm i typescript@beta found on https://devblogs.microsoft.com/typescript/announcing-typescript-5-5-beta/
Thank you again, very happy that this is fixed soon and that ESM is actively worked on. :rocket:


Emoji search overlaps keyboard

The new emoji search overlaps the KeyboardView's keyboard content when the keyboard toolbar is rendered outside of the KeyboardView:

While it can be solved by moving the toolbar inside the keyboard, we also need to solve this overlap when the toolbar is hidden.
We can solve this by replacing the toolbar with the emoji search toolbar, instead of overlaying the entire keyboard view as is done today.
This will be available in RC 3.

Thanks Daniel for including this issue. I bet my users (https://elephas.app/), will love this addition.

This will be fixed in RC4, where the KeyboardView will enforce a toolbar height when the emoji keyboard or the emoji search is presented. This will cause the keyboard to resize to fit that content:

.alphabetic
.emojis
.emojiSearch


Lambda expressions are allowed only at source level 1.8 or above 	Multi-catch parameters are not allowed for source level below 1.7  	at net.minecraft.client.Minecraft.(Minecraft.java:411) 	at net.minecraft.client.main.Main.main(Main.java:108) 	at Start.main(Start.java:7)

Lambda expressions are allowed only at source level 1.8 or above
Multi-catch parameters are not allowed for source level below 1.7
at net.minecraft.client.Minecraft.<init>(Minecraft.java:411)
at net.minecraft.client.main.Main.main(Main.java:108)
at Start.main(Start.java:7)

You have to set the Java version to 1.8 (Java 8) or higher.
Open Eclipse, right click the project, hover on "Build Path" and click on "Configure Build Path..."; click on "Libraries", double click on "JRE System Library" and set the "Execution environment" to Java 1.8
It's not a bug within the base client or a bug at all, it has to do with some programming instructions used to write the base client that have been added in Java 8 and are therefore not supported in prior versions

I will close the issue now; open it again if the issue isn't solved or if you need further assistance in applying the fix


Permission denied

I would like to reopen https://github.com/rycee/home-manager/issues/1187.
On my windows WSL after upgrading to 20.03 I get the following error:
$ home-manager build --keep-going --show-trace
these derivations will be built:
  /nix/store/az81r56xg8aqwxyp8gkr8dbxxwq54ysl-home-manager-path.drv
  /nix/store/xlaydkk3py8dalb22vhkkg3p461gdqwl-activation-script.drv
  /nix/store/kdf8wvnlzvnlx2lhh9cr157xc3zdwkvk-home-manager-generation.drv
building '/nix/store/az81r56xg8aqwxyp8gkr8dbxxwq54ysl-home-manager-path.drv'...
created 1395 symlinks in user environment
I/O error : Permission denied
I/O error : Permission denied
Failed to write XML file; For permission problems, try rerunning as root
builder for '/nix/store/az81r56xg8aqwxyp8gkr8dbxxwq54ysl-home-manager-path.drv' failed with exit code 1
cannot build derivation '/nix/store/xlaydkk3py8dalb22vhkkg3p461gdqwl-activation-script.drv': 1 dependencies couldn't be built
cannot build derivation '/nix/store/kdf8wvnlzvnlx2lhh9cr157xc3zdwkvk-home-manager-generation.drv': 2 dependencies couldn't be built
error: build of '/nix/store/kdf8wvnlzvnlx2lhh9cr157xc3zdwkvk-home-manager-generation.drv' failed

I don't know where to start debugging this error.. Does anyone have an idea?
My system:

system: "x86_64-linux"
host os: Linux 4.4.0-18362-Microsoft, Ubuntu, 16.04.6 LTS (Xenial Xerus)
multi-user?: no
sandbox: no
version: nix-env (Nix) 2.3.3
channels(tobias): "home-manager-20.03, nixpkgs-20.03.1445.95b9c99f6d0, nur-gerschtli, unstable-20.09pre222244.22a3bf9fb9e"
nixpkgs: /home/tobias/.nix-defexpr/channels/nixpkgs

It seems to be caused by home.extraProfileCommands in xdg.mime.enable (https://github.com/rycee/home-manager/blob/master/modules/misc/xdg-mime.nix#L32)

Yeah, had a quick look at this the other day and also found that the error is likely to come from update-mime-database. You could try removing the > /dev/null and see what update-mime-database says. It might be trying to write its output to some entirely different directory from the one its told to use.

I don't get any more output.. Exit code is 1.

Hmm, that's odd. Then the error message must come from some other program, the update-mime-database program performs some unconditionally prints before emitting that error message. E.g., https://gitlab.freedesktop.org/xdg/shared-mime-info/-/blob/d23e9fa537b84950cdb518f87e3bf1f3f2577523/src/update-mime-database.c#L3707

I've also seen this error, when trying to install home manager on a clean copy of Debian on WSL1 with a new installation of nix. Nothing is installed on the system except the defaults, curl, xz-utils, and nix.
Here's /etc/nix/nix.conf
use-sqlite-wal = false
sandbox = false

It seems like it's trying to write $out/share/mime//.xml.new where media and subtype are derived from <mime-type type="media/subtype" ...> (e.g. application/xml). However, those directories are readonly:
$ ls -l /nix/store/f616ndhcsizhjh2rrkvjh37z4gclmf5g-home-manager-path/share/mime/x-epoc
total 4
-r--r--r-- 1 user group 2878 Dec 31  1969 x-sisx-app.xml
$ touch /nix/store/f616ndhcsizhjh2rrkvjh37z4gclmf5g-home-manager-path/share/mime/x-epoc/x-epoc.xml.new
touch: cannot touch '/nix/store/f616ndhcsizhjh2rrkvjh37z4gclmf5g-home-manager-path/share/mime/x-epoc/x-epoc.xml.new': Permission denied

This seems to work fine on WSL 2.
Can somebody else confirm?
Happy to provide any additional info.
Linux DOSBOOK 4.19.84-microsoft-standard #1 SMP Wed Nov 13 11:44:37 UTC 2019 x86_64 GNU/Linux

system: "x86_64-linux"
host os: Linux 4.19.84-microsoft-standard, Kali GNU/Linux, 2020.2
multi-user?: no
sandbox: yes
version: nix-env (Nix) 2.3.4
channels(evanjs): "home-manager, nixpkgs-20.09pre226388.a0d7927a8c7"
nixpkgs: /home/evanjs/.nix-defexpr/channels/nixpkgs

home-manager switch -n -v
/nix/store/i4fj8glr31ipdmfc5nql5in06ln3sxsf-home-manager-generation
Starting home manager activation
Sanity checking oldGenNum and oldGenPath
This is a dry run
Using Nix version: nix-env (Nix) 2.3.4
Activation variables:
  oldGenNum=5
  oldGenPath=/nix/store/i4fj8glr31ipdmfc5nql5in06ln3sxsf-home-manager-generation
  newGenPath=/nix/store/i4fj8glr31ipdmfc5nql5in06ln3sxsf-home-manager-generation
  newGenNum=6
  newGenGcPath=/nix/var/nix/gcroots/per-user/evanjs/current-home
  genProfilePath=/nix/var/nix/profiles/per-user/evanjs/home-manager
Activating checkFilesChanged
Activating checkLinkTargets
Activating writeBoundary
Activating installPackages
nix-env -i /nix/store/nja36r1i885l9x2amwlqarqis9h7wsq5-home-manager-path
Activating linkGeneration
Cleaning up orphan links from /home/evanjs
Checking /home/evanjs/.cache/.keep: exists
Checking /home/evanjs/.zshrc: exists
No change so reusing latest profile generation 5
Creating home file links in /home/evanjs
mkdir -p --verbose /home/evanjs/.cache
ln -nsf --verbose /nix/store/rrwhnpbfysr84yj5dm2h1n7jbv0al42z-home-manager-files/.cache/.keep /home/evanjs/.cache/.keep
mkdir -p --verbose /home/evanjs
ln -nsf --verbose /nix/store/rrwhnpbfysr84yj5dm2h1n7jbv0al42z-home-manager-files/.zshrc /home/evanjs/.zshrc
Activating onFilesChange
Activating reloadSystemD
User systemd daemon not running. Skipping reload.

There are 116 unread and relevant news items.
Read them by running the command 'home-manager news'.

Note that WSL 2 is drastically different from WSL 1.
A detailed comparison between the two can be found here.

I still don't understand what is trying to write these files if it's not update-mime-database. Anybody know?

So I figure it is update-mime-database that's having issues
I had a look at the sources and this is the exact error message we see.

As a quick fix, try adding xdg.mime.enable = false;.

I made a commit that adds the -w $out/share/mime/packages check suggested by @orcasauce. Hopefully that will resolve the problem.


执行pip install tensorflow-gpu==2.8.0时报错了

报错信息如下：
ERROR: Could not find a version that satisfies the requirement tf-estimator-nightly==2.8.0.dev2021122109 (from tensorflow-gpu) (from versions: none)
ERROR: No matching distribution found for tf-estimator-nightly==2.8.0.dev2021122109

pip install tensorflow-gpu==2.8.0 -i https://pypi.tuna.tsinghua.edu.cn/simple


questions: What versions of ruby are supported?

I didn't really think about it, but it works on 1.9.3 so I'm gonna say 1.9.3+?

I added a note to the README

Cool. I was only curious so that I knew which version to set as a requirement in the brew formula.
https://github.com/Homebrew/homebrew-head-only/pull/96


ARROW-6248: [Python][C++] Raise better exception on HDFS file open error

libhdfs sets errno to a value corresponding to the Java exception
(see hadoop-hdfs-project/hadoop-hdfs-native-client/src/main/native/libhdfs/exception.c in Hadoop repo),
we can use that value to return a more informative error to the user.

@github-actions crossbow submit test-conda-python-3.7-hdfs-3.2


Cannot override a_human_input?:

Describe the issue
I created a CustomAgent Class to modify the way human input is taken as it says in the function as well.
    async def a_get_human_input(self, prompt: str) -> str:
        """(Async) Get human input.

        Override this method to customize the way to get human input.

        Args:
            prompt (str): prompt for the human input.

        Returns:
            str: human input.
        """
        print("Coming from AAAA_get_human_input in Conversable")
        reply = input(prompt)
        return reply

I see correct initalization of the Agent Class
 <class 'autogen.agentchat.user_proxy_agent.UserProxyAgent'> <class '__main__.CustomAssistantAgent'> <class '__main__.CustomAssistantAgent'>
MRO seems correct
[<class '__main__.CustomAssistantAgent'>, <class 'autogen.agentchat.assistant_agent.AssistantAgent'>, <class 'autogen.agentchat.conversable_agent.ConversableAgent'>, <class 'autogen.agentchat.agent.Agent'>, <class 'object'>]
However, the method from the CustomeAgent is never called. It always comes from the Conversableagent.py . Is there some custom behaviour which is causing this (The MRO cannot find the method in the sub-class and goes to the Parent) to happen?
class CustomAssistantAgent(autogen.AssistantAgent):
    async def a_get_human_input(self, prompt: str) -> str:
        print("Coming from Customized Agent")
        global user_input_result
        user_input_result = None

        def on_submit(input_value):
            global user_input_result
            user_input_result = input_value
            dialog.close()

Steps to reproduce
By creating a customAgent that overrides the human_input method
Screenshots and logs
No response
Additional Information
No response

The human input method is being called by UserProxy and not Assistant Agent. That was the issue


feat: Monitoring solution

https://tanzu.vmware.com/developer/guides/prometheus-multicluster-monitoring/  secondary rpi cluster for HA services?

Need object storage for Thanos and Loki
https://rook.io/docs/rook/v1.11/Storage-Configuration/Object-Storage-RGW/object-storage/#connect-to-an-external-object-store
https://rook.io/docs/rook/v1.11/Storage-Configuration/Object-Storage-RGW/object-storage/#prerequisites

still some lingering monitoring needs, but they will be handled in individual issues.  The overall solution is complete.


Missing py dep jupyter_packaging

Before I could run:
jupyter labextension develop --overwrite .

I had to do:
pip install jupyter-packaging

Otherwise this errors:
https://github.com/cabreraalex/widget-svelte-cookiecutter/blob/feb467b7e4a29e5a5bee6fffef919b9574fc246f/{{cookiecutter.github_project_name}}/setup.py#L14-L20

Honestly even then I can't get that command to work ngl. I added it as a dependency for the dev environment for now. If someone knows the "canonical" way to build for Jupyter Lab that would be great


0x800401F9 error - CalculatorComponent.def needs to be specified in linker settings

[Enter feedback here]
Step 8 forgot to set CalculatorComponent.def file as the Module Definition File linker setting for the CalculatorComponent.  Without that step, you get a 0x800401F9 error when trying to create the component.

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: 5ff38587-44d4-291e-92f2-1835bae646b2
Version Independent ID: d03537dc-cad6-9888-dcc7-6881c00a479c
Content: How to: Create a Classic COM Component Using WRL
Content Source: docs/cppcx/wrl/how-to-create-a-classic-com-component-using-wrl.md
Product: visual-cpp
Technology: cpp-cx
GitHub Login: @corob-msft
Microsoft Alias: corob

@adamtki
Thanks for the report. A fix should be published later today.


fix: progressively update image size while uploading

这个 PR 实现什么功能/修复什么问题:
修正：镜像上传过程中动态更新镜像size
是否需要 backport 到之前的 release 分支:

release/3.1

/cc @wanyaoqi
/area image

Codecov Report

Merging #5052 into master will not change coverage.
The diff coverage is 100%.

@@          Coverage Diff           @@
##           master   #5052   +/-   ##
======================================
  Coverage    6.75%   6.75%
======================================
  Files         545     545
  Lines       95185   95185
======================================
  Hits         6433    6433
  Misses      88214   88214
  Partials      538     538

Flag
Coverage Δ

#aFlag
6.75% <100%> (ø)
:arrow_up:

Impacted Files
Coverage Δ

pkg/util/s3auth/v4.go
82.99% <100%> (ø)
:arrow_up:

Continue to review full report at Codecov.

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/lgtm

/lgtm
/approve


Issue #14403 - Change all SUB(MODULE/REF) macros to use the new globa…

…l (M)REF(_ALTTEXT) macros.
This fixes cross references in the Ddox based library documentation (apart from bad formatting, which needs to be fixed in a separate PR).

LGTM - any ddoc expert around?

The table on the std.experimental.ndslice page has become unreadable, and it generally looks ugly. But broken links are worse, I guess.

it generally looks ugly

A nicer REF_ALTTEXT could be done with the new DDOX_ROOT_DIR, but for some reason DDOX replaces CamelCase with underscores in URLs. As far as I can tell, that's a game breaker. I think there's no way to write a macro that does that.

We need a way to express a named cross-reference in DDOX to fix the formatting. The easiest way would be to simply recognize REF_ALTTEXT as a special macro (or maybe rather something like $(DDOX_XREF name, qualified.symbol.name)). But that needs to be done separately in DDOX/dlang.org.

Accidentally #4303 contains the same modifications, however leaving (TT $2))$(NBSP) seems to keep the table layout.

I still think we should have the REF macros generally output a <code> tag, though, as they always reference a D symbol and it doesn't make sense to format them differently anyway. Probably the   should be more something like a <ul> that gets properly reformatted using CSS, but I can add that back here, too (depending on which if the PRs gets merged).

#4303 made it in :), so I guess we can close this PR?

This one also fixes the SUBREF macros. I'll rebase.

Okay, scratch that. Also seems to be done already.


Feature/#171 e2 e tests with a strong security scope

Meteor method e2e security tests for collections: minutes, meeting series, topics, user roles.
Publish and subscribe e2e tests for meeting series, minutes and users

Thankx for your contribution. Test run green. I will merge in!


fix: correctly display the disk mount points of tiflash

close: https://github.com/pingcap/tidb-dashboard/issues/1625
In the past, the data directory of tiflash was only obtained from engine-store.path. This PR modified it to be obtained from both engine-store.path, engine-store.storage.main.dir and engine-store.storage.latest.dir.

/cherry-pick release-7.1

/cherry-pick release-7.5


Add an example that has a private input

Cubic example is great and easy to follow. But lib should have an example that uses private secret visibility so it is easier to learn and understand the use of public and private

Hi @fosgate29  --> fair point, but doesn't examples/mimc does that? :
// Circuit defines a pre-image knowledge proof
// mimc(secret preImage) = public hash
type Circuit struct {
	// struct tag on a variable is optional
	// default uses variable name and secret visibility.
	PreImage frontend.Variable
	Hash     frontend.Variable `gnark:",public"`
}

If you have other ideas on how to improve "getting started" example or documentation, feel free to create an issue / start a discussion with us.

Hi. Thanks @gbotrel. When I first started using Gnark, I went to the examples. It worked well. Then I tried and searched for the vk and proof and spent some thime before finding examples (I found in the documentation and it is clear there, but it isn't inside the examples). And I found some old examples using "private" and now it is secret modifier and it confused me also.
I had this kind of example in mind now:
type Circuit struct {
	PreImage frontend.Variable `gnark:",public"`
	Hash     frontend.Variable `gnark:",secret"`
}

and test code would be like this:
	r1cs, err := frontend.Compile(ecc.BN254, backend.GROTH16, &mimcCircuit)
	assert.NoError(err)

	pk, vk, err := groth16.Setup(r1cs)
	assert.NoError(err)

	{
		var witness Circuit

                witness.Hash.Assign("16130099170765464552823636852555369511329944820189892919423002775646948828469")
		witness.PreImage.Assign(35)

		// Generate Proof
		proof, err := groth16.Prove(r1cs, pk, &witness)

                //show how to use proof with correct input
                var witness2 Circuit
                witness2.PreImage.Assign(35)
		err = groth16.Verify(proof, vk, &witness2)
		assert.NoError(err)

		//example with a wrong input should fail
		var witness3 Circuit
                witness3.PreImage.Assign(42)
		err = groth16.Verify(proof, vk, &witness3)
		assert.Error(err)
	}

And one more suggestion. I am also a solidity dev and I was looking forward to getting the examples results and verifying them in a smart contract. Maybe examples should have serialization and a demo of a working smart contract deployed on a testnet.  I could use Remix and run this demo. Maybe it is too much, but it was the steps I had some issues when I developed my zk project using Gnark.

play.gnark.io partially answers this ticket. As it evolves, we will try to add Ethereum specific functionalities to it.


Path broken commit #805930d

Expected Behavior

Bot walking along pre configured coordinates
Actual Behavior

Bot not starting since last pull
Your FULL config.json (remove your username, password, gmapkey and any other private info)

http://pastebin.com/raw/AN9kFXDm
Output when issue occurred

2016-08-17 08:10:43,755 [PokemonGoBot] [INFO] PokeBalls: 79 | GreatBalls: 55 | UltraBalls: 0 | MasterBalls: 0
2016-08-17 08:10:43,755 [PokemonGoBot] [INFO] RazzBerries: 86 | BlukBerries: 0 | NanabBerries: 0
2016-08-17 08:10:43,755 [PokemonGoBot] [INFO] LuckyEgg: 3 | Incubator: 1 | TroyDisk: 3
2016-08-17 08:10:43,755 [PokemonGoBot] [INFO] Potion: 8 | SuperPotion: 5 | HyperPotion: 1 | MaxPotion: 0
2016-08-17 08:10:43,755 [PokemonGoBot] [INFO] Incense: 6 | IncenseSpicy: 0 | IncenseCool: 0
2016-08-17 08:10:43,755 [PokemonGoBot] [INFO] Revive: 5 | MaxRevive: 0
2016-08-17 08:10:43,755 [PokemonGoBot] [INFO]
2016-08-17 08:10:43,756 [PokemonGoBot] [INFO] Found encrypt.so! Platform: linux2 Encrypt.so directory: /home/ddenouden/PokemonGo-Bot
2016-08-17 08:10:43,756 [PokemonGoBot] [INFO]
2016-08-17 08:10:44,326 [SleepSchedule] [INFO] [next_sleep] Next sleep at 2016-08-17 22:43:02.326048
2016-08-17 08:10:44,326 [SleepSchedule] [INFO] [next_sleep] Next sleep at 2016-08-17 10:11:28.326378
2016-08-17 08:10:44,326 [SleepSchedule] [INFO] [next_sleep] Next sleep at 2016-08-17 13:37:46.326632
2016-08-17 08:10:44,327 [SleepSchedule] [INFO] [next_sleep] Next sleep at 2016-08-17 18:40:55.327181
2016-08-17 08:10:45,447 [       cli] [INFO]
2016-08-17 08:10:45,447 [       cli] [INFO] Ran for 0:00:04
2016-08-17 08:10:45,447 [       cli] [INFO] Total XP Earned: 0  Average: 0.00/h
2016-08-17 08:10:45,447 [       cli] [INFO] Travelled 0.00km
2016-08-17 08:10:45,448 [       cli] [INFO] Visited 0 stops
2016-08-17 08:10:45,448 [       cli] [INFO] Encountered 0 pokemon, 0 caught, 0 released, 0 evolved, 0 never seen before
2016-08-17 08:10:45,448 [       cli] [INFO] Threw 0 pokeballs
2016-08-17 08:10:45,448 [       cli] [INFO] Earned 0 Stardust
2016-08-17 08:10:45,448 [       cli] [INFO]
2016-08-17 08:10:45,448 [       cli] [INFO] Highest CP Pokemon:
2016-08-17 08:10:45,448 [       cli] [INFO] Most Perfect Pokemon:
Traceback (most recent call last):
File "pokecli.py", line 572, in
main()
File "pokecli.py", line 91, in main
tree = TreeConfigBuilder(bot, config.raw_tasks).build()
File "/home/ddenouden/PokemonGo-Bot/pokemongo_bot/tree_config_builder.py", line 74, in build
instance = worker(self.bot, task_config)
File "/home/ddenouden/PokemonGo-Bot/pokemongo_bot/base_task.py", line 13, in init
self.initialize()
File "/home/ddenouden/PokemonGo-Bot/pokemongo_bot/cell_workers/follow_path.py", line 18, in initialize
self.points = self.load_path()
File "/home/ddenouden/PokemonGo-Bot/pokemongo_bot/cell_workers/follow_path.py", line 36, in load_path
return self.load_json()
File "/home/ddenouden/PokemonGo-Bot/pokemongo_bot/cell_workers/follow_path.py", line 41, in load_json
Steps to Reproduce

Starting bot with normal MoveToFort task works fine.
Other Information
OS: Ubuntu 16.04

Branch: Dev
Git Commit: 805930d
Python Version: Python 2.7.12

@balpoint Can you update as there were some key changes since you made this issue, and update your OP if the information / errors have changed, and indicate if it's resolved or still present
Can you also please provide your path file

@k4n30 man i'm sorry for wasting your time, i just figured out that i placed a , at the end of the last coordinate of the path file......it's working!

No worries - I assumed it was your path file hence why I asked for it, glad u got it sorted.


Flexibility in the deps

This assumes the external library authors are using semver.
There's still #121 to address but this unblocks those of us that want to use a newer version of pyspark.

It seems like this PR has gone beyond its title. Can you please explain why you merged PR #161 ? Using code search path is not ready yet, because it requires all python function/actors to be in the code search path as well. This might break our current users application.

It seems like this PR has gone beyond its title. Can you please explain why you merged PR #161 ? Using code search path is not ready yet, because it requires all python function/actors to be in the code search path as well. This might break our current users application.

@kira-lin sorry about that, i should have created a separate branch.  i've done that now and reverted the changes.
i'm now running into stackoverflow issues related to ZipArchive.scala and, after a bit of research, it seemed this could be related to an old version of scala, and possibly the usage of py4j, so i pulled in the changes to see if they helped get around that issue.

Oh, I see. Can you please be more specific on what causes this error? You are using Spark 3.0.0 when building the scala part, and 3.1.2 for pyspark, right? And when you call raydp.init_spark, you see this error message?
Besides, what java version are you using? It seems scala, spark and py4j versions are not modified, thus it should be working.
Again, thanks for contributing @mjschock

Oh, I see. Can you please be more specific on what causes this error? You are using Spark 3.0.0 when building the scala part, and 3.1.2 for pyspark, right? And when you call raydp.init_spark, you see this error message?
Besides, what java version are you using? It seems scala, spark and py4j versions are not modified, thus it should be working.
Again, thanks for contributing @mjschock

yes, Spark 3.0.0 in the pom.xml when i run ./build.sh.  and yes, pyspark 3.1.2 when intiializing.  java is 1.8, the openjdk version.  the example is roughly the one from the anyscale post here: https://www.anyscale.com/blog/data-processing-support-in-ray
import ray
import raydp

ray.util.connect("ray-head:10001")

@ray.remote
class PySparkDriver:
  def __init__(self):
  self.spark = raydp.init_spark(
    app_name='RayDP example',
    num_executors=2,
    executor_cores=2,
    executor_memory='4GB')

  def foo(self):
    return self.spark.range(1000).repartition(10).count()

driver = PySparkDriver.remote()
print(ray.get(driver.foo.remote()))

Oh, I see. Can you please be more specific on what causes this error? You are using Spark 3.0.0 when building the scala part, and 3.1.2 for pyspark, right? And when you call raydp.init_spark, you see this error message?
Besides, what java version are you using? It seems scala, spark and py4j versions are not modified, thus it should be working.
Again, thanks for contributing @mjschock

yes, Spark 3.0.0 in the pom.xml when i run ./build.sh. and yes, pyspark 3.1.2 when intiializing. java is 1.8, the openjdk version. the example is roughly the one from the anyscale post here: https://www.anyscale.com/blog/data-processing-support-in-ray
import ray
import raydp

ray.util.connect("ray-head:10001")

@ray.remote
class PySparkDriver:
  def __init__(self):
  self.spark = raydp.init_spark(
    app_name='RayDP example',
    num_executors=2,
    executor_cores=2,
    executor_memory='4GB')

  def foo(self):
    return self.spark.range(1000).repartition(10).count()

driver = PySparkDriver.remote()
print(ray.get(driver.foo.remote()))

anyway, i think this is unrelated.  i'll investigate further when i get a chance

sorry I cannot help here since I've never seen errors like this, but I guess it's due to the environment. Did you always have the problem? Is it OK if you use pip to install our package? If so, I can upgrade the spark version now, since it'll only affect the nightly release.

By the way, we are curious about in what scenario you plan to use RayDP? What feature would be useful? And if you have any other issue, feel free to ask us.


Created AbstractCatalogObject, TableCatalogObject, DatabaseCatalogObject, IndexCatalogObject

TableCatalogObject, DatabaseCatalogObject, IndexCatalogObject inherits AbstractCatalogObject
All catalog objects have global unique oid.

Coverage decreased (-0.2%) to 66.057% when pulling 7f9abb3950987c121eec98ebaf35abb1a551b1c6 on AngLi-Leon:master into 9b11d92dd5a2a0b32d5c39a9ba0b1aa45fe0b654 on cmu-db:master.

Coverage decreased (-0.2%) to 66.086% when pulling 7cc0fdc3d82b49529c5eb8b3868570e2d6f5f175 on AngLi-Leon:master into 9b11d92dd5a2a0b32d5c39a9ba0b1aa45fe0b654 on cmu-db:master.

Coverage decreased (-0.08%) to 66.198% when pulling 7d40cf13ba5066989286ef8c423a3880dd27e239 on AngLi-Leon:master into 9b11d92dd5a2a0b32d5c39a9ba0b1aa45fe0b654 on cmu-db:master.


Webdriver: Unable to upload file (attachFile()) on Angular web application

Trying to upload a file using attachFile()
Test is getting passed but file is not getting attached
Element:

The element does not have an input tag
I.attachFile("//a[@class = 'browse']", doc);

CodeceptJS version: 2.3.6
NodeJS Version: 10.16.2
Operating System: Windows 10
webdriverio: 6.0.18

Handled using AutoIT


Remove discovery-based Hive

No one was using DiscoveryLocatedHiveCluster, so remove it. Related to #1434.
Testing: mvn clean install

Merged, thanks!


Feature: Policy Unittests

Overview/Summary
AB#17044 - Create unit testing to validate individual policy definitions are valid upon submission to library
This PR fixes/adds/changes/removes

Added a pipeline, a helper module, and pester tests for testing changes made to policy files.

Breaking Changes

No breaking changes as adds tests to validate new PRs that have changes to policy files.

Testing Evidence
Please provide any testing evidence to show that your Pull Request works/fixes as described and planned (include screenshots, if appropriate).
Still working through two associated work items that @jtracey93 is going to be working through.
Testing URLs
The below URLs can be updated where the placeholders are, look for {YOUR GITHUB BRANCH NAME HERE - Remove Curly Brackets Also} & {YOUR GITHUB BRANCH NAME HERE - Remove Curly Brackets Also}, to allow you to test your portal deployment experience.

Please also replace the curly brackets on the placeholders {}

Azure Public
[](https://portal.azure.com/#blade/Microsoft_Azure_CreateUIDef/CustomDeploymentBlade/uri/https%3A%2F%2Fraw.githubusercontent.com%2F{YOUR GITHUB ORG/ACCOUNT HERE - Remove Curly Brackets Also}%2FEnterprise-Scale%2F{YOUR GITHUB BRANCH NAME HERE - Remove Curly Brackets Also}%2FeslzArm%2FeslzArm.json/uiFormDefinitionUri/https%3A%2F%2Fraw.githubusercontent.com%2F{YOUR GITHUB ORG/ACCOUNT HERE - Remove Curly Brackets Also}%2FEnterprise-Scale%2F{YOUR GITHUB BRANCH NAME HERE - Remove Curly Brackets Also}%2FeslzArm%2Feslz-portal.json)
Azure US Gov (Fairfax)
[](https://portal.azure.us/#blade/Microsoft_Azure_CreateUIDef/CustomDeploymentBlade/uri/https%3A%2F%2Fraw.githubusercontent.com%2F{YOUR GITHUB ORG/ACCOUNT HERE - Remove Curly Brackets Also}%2FEnterprise-Scale%2F{YOUR GITHUB BRANCH NAME HERE - Remove Curly Brackets Also}%2FeslzArm%2FeslzArm.json/uiFormDefinitionUri/https%3A%2F%2Fraw.githubusercontent.com%2F{YOUR GITHUB ORG/ACCOUNT HERE - Remove Curly Brackets Also}%2FEnterprise-Scale%2F{YOUR GITHUB BRANCH NAME HERE - Remove Curly Brackets Also}%2FeslzArm%2Ffairfaxeslz-portal.json)
As part of this Pull Request I have

[x] Checked for duplicate Pull Requests
[x] Associated it with relevant issues, for tracking and closure.
[x] Ensured my code/branch is up-to-date with the latest changes in the main branch
[ ] Performed testing and provided evidence.
[x] Ensured contribution guidance is followed.
[x] Updated relevant and associated documentation.
[x] Updated the "What's New?" wiki page (located: /docs/wiki/whats-new.md)

@oZakari have made some tweaks and think ive got it right, can you review and test?

Should be good to go at this point. Thanks for the help with that last test @jtracey93, much cleaner approach than what I was trying to do.


Us047 live state

Implemented the transition from READY_FOR_LIVE to LIVE.  The collection exercise service now listens to messages on the collex-event-message-outbound-exchange and when a message with type Elapsed occurs for an event tag of go_live it will send a go_live event to the corresponding collection exercise state machine, hopefully putting the collection exercise into the LIVE state.  If the state is no READY_FOR_LIVE the event will bounce off and currently no other action is taken than an error will be logged (possibly needs more thought from the business)

 US047: Create and View 'Live' State of a CE [M]


[Logs] PSPEC-1062: Fix splunk links

This fix splunk links with latest.
Some link redirected to login page, probably to access specific version.

CC: @zeinjaber