I am trying to create a Genesis block for an Ethereum Blockchain but the Windows Command Prompt is showing a Fatal error.
The code for the Genesis file is mentioned below-
{
“config”:{
“chainId”:777,
“homesteadBlock”:0,
“eip155Block”:0,
“eip158Block”:0
},
“difficulty”:”0x400″,
“gasLimit”:”0x8000000″,
“alloc”:{}
}
What does 'need genesis.json file as the only argument' mean?
Related
When I tried to deploy firebase functions, the process of loading credential file occurs an error:
Detailed stack trace: Error: Failed to read credentials from file C:\Users\kracc\Desktop\code\glint-server\firebase-account.json: Error: ENOENT: no such file or directory, open 'C:\Users\kracc\Desktop\code\glint-server\firebase-account.json'
Initialization code:
private connectFireStore(): void {
initializeApp({
credential: applicationDefault(),
databaseURL: process.env.FIRESTORE_URL,
})
}
folder structure:
and value of GOOGLE_APPLICATION_CREDENTIALS in .env.prod is ../../firebase-account.json
I can open C:\Users\kracc\Desktop\code\glint-server\firebase-account.json and it works well when I use emulator and local server
reason why I think the backslash matters is I saw it couldn't understand backslash included path in require function (require('./lib\\foo') got an error).
how can I deal with this situation?
model = torch.hub.load('ultralytics/yolov5', 'custom', path='yolov5-master/yolov5-master/runs/train/weights/last.pt', force_reload=True)
When I run this line of code in my Jupyter notebook, I get a permission error:
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\Users\\username/.cache\\torch\\hub\\ultralytics_yolov5_master\\requirements.txt'
I am using XEN hypervisor. For managing virtual Machine I am using virt-manager whenever I want to start to Virtual Machine at last when everything is ready and I click the create Button I get the following error
Unable to complete install: 'An error occurred, but the cause is unknown'
Traceback (most recent call last):
File "/usr/share/virt-manager/virtManager/asyncjob.py", line 75, in cb_wrapper
callback(asyncjob, *args, **kwargs)
File "/usr/share/virt-manager/virtManager/createvm.py", line 2089, in _do_async_install
guest.installer_instance.start_install(guest, meter=meter)
File "/usr/share/virt-manager/virtinst/install/installer.py", line 542, in start_install
domain = self._create_guest(
File "/usr/share/virt-manager/virtinst/install/installer.py", line 491, in _create_guest
domain = self.conn.createXML(install_xml or final_xml, 0)
File "/usr/lib/python3/dist-packages/libvirt.py", line 4034, in createXML
if ret is None:raise libvirtError('virDomainCreateXML() failed', conn=self)
libvirt.libvirtError: An error occurred, but the cause is unknow
For the Xen driver, you may have more infos in /var/log/libvirt/libxl/libxl-driver.log
Same issue here.
When I check the /var/log/syslog, there is a log from libvirtd: "unsupported configuration: emulator '/usr/lib/xen-4.11/bin/qemu-system-i386' not found".
It may be caused by this bug. So we can create a symbolic link sudo ln -s /usr/bin/qemu-system-i386 /usr/lib/xen-4.11/bin/qemu-system-i386, and I hope it works for you too.
Check if you have installed
qemu-system-x86-xen
if not - install
apt install qemu-system-x86-xen
that helped me
I just changed two lines of code in the Google cloud functions source code using inline statement, the two lines of code involve parsing date string using datetime library, no updates to anything else. This same deployment has been working for more than a year now.
All of a sudden I get two errors -
Error 1 -
(gcloud.functions.deploy) OperationError: code=3, message=Build
failed: {"error": {"canonicalCode": "INTERNAL", "errorMessage":
"pip_install_from_wheels had stderr
output:\n/opt/python3.7/bin/python3.7: No module named pip\n\nerror:
pip_install_from_wheels returned code: 1", "errorType":
"InternalError", "errorId": "ECB5F712"}}
Resolved that by removing pip from requirements.txt (again not sure why this is a problem now and not for over a year)
If I address 1, I get the following error -
Error 2 -
(gcloud.functions.deploy) OperationError: code=3, message=Build
failed: {"error": {"canonicalCode": "INTERNAL", "errorMessage":
"gzip_tar_runtime_package gzip /tmp/tmpGLHQx9.tar -1\nexited with
error [Errno 12] Cannot allocate memory\ngzip_tar_runtime_package is
likely not on the path", "errorType": "InternalError", "errorId":
"2A1581FF"}}
Memory is already at 2048 and nothing changed other than the two lines of code above.
Let me know if this has been happening and what is the resolution.
It looks like this has to do with packages than anything else. I deployed a dummy function and added each package from requirements.txt until it failed. It turns out the problem packages were
a. gpflow
b. tensorflow
Last deployment with these packages was successful as of Feb 20. Not sure why I can't install them without those errors anymore. regardless, tried using the versions that would have been consistent with Feb 20 timeline with no luck. So refactored my code and removed all the functionality that was using that and deployed successfully.
Request to Google Cloud Folks : Why this behavior ? Also "Invalid ARGUMENT" in logs (Stackdriver or google cloud logging whatever you call it) is misleading.
The first error, as explained in this post, is due to pip being defined in your requirements.txt file. Specifying pip as a dependency for the function causes message to appear. You did the right thing by removing it from the requirements.txt file.
The second error usually appears if the number of files or the size of the content that is being uploaded is too big and the instance used to deploy your code runs out of memory. You perhaps were using too many dependencies or static files, as explained here.
I have installed gcloud sdk by following the link https://cloud.google.com/sdk/docs/downloads-apt-get on Ubuntu 16.04.6 LTS. I have also done the proxy configuration using the following link https://cloud.google.com/sdk/docs/proxy-settings.
Google Cloud SDK 288.0.0
alpha 2020.04.03
beta 2020.04.03
bq 2.0.56
core 2020.04.03
gsutil 4.49
kubectl 2020.04.03
gcloud init is successful and gcloud info --run-diagnostics displays no problems. However gcloud crashes for any other commands I run. I have tried the following commands.
1. gcloud compute images list
2. gcloud services list
3. gcloud logging logs list
Here is the message I get after the crash.
ERROR: gcloud crashed (SSLHandshakeError): [SSL: UNKNOWN_PROTOCOL] unknown protocol (_ssl.c:590)
If you would like to report this issue, please run the following command:
gcloud feedback
To check gcloud for common problems, please run the following command:
gcloud info --run-diagnostics
Can someone please help.
PS. Here is debug output.
DEBUG: Running [gcloud.compute.images.list] with arguments: [--verbosity: "debug"]
INFO: Refreshing access_token
INFO: Display format: " table(
name,
selfLink.map().scope(projects).segment(0):label=PROJECT,
family,
deprecated.state:label=DEPRECATED,
status
)"
DEBUG: [SSL: UNKNOWN_PROTOCOL] unknown protocol (_ssl.c:590)
Traceback (most recent call last):
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/calliope/cli.py", line 983, in Execute
resources = calliope_command.Run(cli=self, args=args)
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/calliope/backend.py", line 809, in Run
display_info=self.ai.display_info).Display()
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/calliope/display.py", line 483, in Display
self._printer.Print(self._resources)
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/core/resource/resource_printer_base.py", line 275, in Print
for resource in resources:
File "/usr/lib/google-cloud-sdk/lib/surface/compute/images/list.py", line 113, in _FilterDeprecated
for image in images:
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/api_lib/compute/lister.py", line 1065, in __call__
errors=errors):
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/api_lib/compute/request_helper.py", line 204, in ListJson
for item in _ListCore(requests, http, batch_url, errors, _HandleJsonList):
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/api_lib/compute/request_helper.py", line 134, in _ListCore
requests=requests, http=http, batch_url=batch_url)
File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/api_lib/compute/batch_helper.py", line 106, in MakeRequests
batch_request_callback=batch_checker.BatchCheck)
File "/usr/bin/../lib/google-cloud-sdk/lib/third_party/apitools/base/py/batch.py", line 226, in Execute
batch_http_request.Execute(http)
File "/usr/bin/../lib/google-cloud-sdk/lib/third_party/apitools/base/py/batch.py", line 492, in Execute
self._Execute(http)
File "/usr/bin/../lib/google-cloud-sdk/lib/third_party/apitools/base/py/batch.py", line 449, in _Execute
response = http_wrapper.MakeRequest(http, request)
File "/usr/bin/../lib/google-cloud-sdk/lib/third_party/apitools/base/py/http_wrapper.py", line 356, in MakeRequest
max_retry_wait, total_wait_sec))
File "/usr/bin/../lib/google-cloud-sdk/lib/third_party/apitools/base/py/http_wrapper.py", line 304, in HandleExceptionsAndRebuildHttpConnections
raise retry_args.exc
SSLHandshakeError: [SSL: UNKNOWN_PROTOCOL] unknown protocol (_ssl.c:590)
ERROR: gcloud crashed (SSLHandshakeError): [SSL: UNKNOWN_PROTOCOL] unknown protocol (_ssl.c:590)
I got it working after some debugging. Seems like firewall was the issue in my case. I shifted to python 3.5 . After which I ran the same command gcloud compute images list
I got the error "Caught socket error, retrying request to url https://compute.googleapis.com/batch/compute/v1". Adding this url to firewall exception solved my issue.