console-logging | Better , prettier commandline logging for Python | Command Line Interface library
kandi X-RAY | console-logging Summary
kandi X-RAY | console-logging Summary
Better, prettier commandline logging for Python--with colors! :ghost:
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Top functions reviewed by kandi - BETA
- Start the error message .
- Print a secure message
- Set the verbosity level .
- Prints an error message .
- Prints a success message
- Log a message .
- Prints an informational message
- Return a human readable timestamp .
- This function is called by the user .
- Initialize the system .
console-logging Key Features
console-logging Examples and Code Snippets
Lines of Code : 39License : Strong Copyleft (CC BY-SA 4.0)
Copyimport logging
import os
class Formatter(logging.Formatter):
def format(self, record):
record.pid = os.getpid()
return logging.Formatter.format(self, record)
def comma_filter(record):
new_args = []
for arg in logger.info("Items created %s", "{:,}".format(large_number))
logger.info(f"Items created {large_number:,}")
import logging
logging.basicConfig(level=logging.INFO, handlers=[logging.StreamHhydra/job_logging=none
hydra/hydra_logging=none
# @package _group_
version: 1
root: null
disable_existing_loggers: false
defaults:
- hydra/hydra_logging: none
- hydra/job_logging: none
hydra/job_logging=none
hydra/hydra_logging=none
logging_file = "api_screen.log"
logging_level = logging.INFO
logging_fh = logging.FileHandler(logging_file)
logging_sh = logging.StreamHandler()
logging_fh.setLevel(logging_level)
logging_sh.setLevel(logging_level)
root_logger = logging.print(" " * index + 'positive', numbers)
0 1 2 3 4 5 stack depth
===========================
positive [1, 1, 1, 1, 1]
positive [1, 1, 1, 1, 1]
positive [1, 1, 1, 1, 1]
positive [1, 1, 1, 1, 1]
from .utilities import check_directory_access
from my_module.utilities import check_directory_access
#!/usr/bin/env python3
import my_module.__main__
logger = logging.getLogger('a')
logger.addHandler(logging.StreamHandler())
logger.setLevel(logging.DEBUG)
...
log level 10
Debug
Info
Warning
Error
# proj/proj/settings/__init__.py
from .defaults import *
# proj/proj/settings/dev.py
from .defaults import *
DEBUG = True
# print sql to the console
LOGGING = {
'version': 1,
'disable_existing_loggers': def log_message(self, format, *args):
pass
import http.server
import socketserver
PORT = 8080
class quietServer(http.server.SimpleHTTPRequestHandler):
def log_message(self, format, *args):
pasCommunity Discussions
Trending Discussions on console-logging
QUESTION
I'm new to GCP so pardon for prehaps asking/missing something obvious here.
I'm trying to deploy and create a version resource on GCP with a custom pytorch model. Everything have been working fine until now until I try to create the a new version of the model. Then I keep getting: INVALID_ARGUMENT: Machine type is not available on this endpoint.
I've tried switching between different types from their list here without luck. What am I missing?
Here's the script I run to deploy:
...ANSWER
Answered 2021-May-06 at 07:33According to the documentation, you can only deploy a Custom prediction routine when using a legacy (MLS1) machine type for your model version. However, you can not use a regional endpoint with this type of machine, as stated here,
- Regional endpoints only support Compute Engine (N1) machine types. You cannot use legacy (MLS1) machine types on regional endpoints.
As I can see, you have specified a regional endpoint with the --region flag, which does not support the machine type you required for your use case. Thus, you need to change the model and its version to a global endpoint, so you won't face the error anymore.
In addition, when you specify a regional endpoint within gcloud create model --region, you need to specify the same region when creating the model's version. On the other hand, when creating a model in the global endpoint gcloud create model --regions, you can omit the region flag in the command gcloud ai-platform versions create. Note that the --regions command is used only for the global endpoint
Lastly, I must point out that, as per documentation, when selecting a region for the global endpoint, using the --regions flag when creating the model, your prediction nodes run in the specified region. Although, the AI Platform Prediction infrastructure managing your resources might not necessarily run in the same region.
QUESTION
I'm trying out Vue and I ran into the issue of a component's "mounted" method not firing, I honestly can't see any reason why it won't work, there are no errors or warnings, I checked every single line at least 4 times now, and I just can't figure out what's wrong, I tried "console-logging" something when the method fires in a Post component and it worked, but it didn't when I tried doing the same thing in a Comment component, here is all the code you should need:
The Post component:
...ANSWER
Answered 2021-Apr-05 at 19:13Your mounted function is inside your methods object.
Move it out like this:
QUESTION
I am trying to get all the documents from a Firestore collection. I am following their docs to do so. However, nothing happens. I do not see anything console-logging or any errors whatsoever. Basically, nothing happens, as if the get() function is not working. I am clueless as to what is going on.
Here's the code with the get(). It is written in ReactJS with hooks:
...ANSWER
Answered 2021-Mar-31 at 00:24I figured it out. This might be very useful for somebody who is in a similar situation to know as this does not seem to be explained in the Firestore docs.
Anyways, the reason nothing was happening and console.logging was not working was because the query was empty. So, make sure to always check that your collection has documents which in turn have some information. The documents that I was trying to get contained a collection and named after user ids which I needed. However, since they did not really contain any information, they could not be retrieved. And, I did not know that. I simply needed the names of the documents, the uids.
One way you can check if your snapshot is empty is as follows:
QUESTION
New to JavaScript. I am trying to iterate through an array, removing the last item and adding it as the new first item each time, and console-logging the new array after each loop. For example, if I start with this array:
['1', '2', '3', '4', '5']
The next array would look like this:
['5', '1', '2', '3', '4']
And then this:
['4', '5', '1', '2', '3']
Etc. until the array essentially returns back to the original ['1', '2', '3', '4', '5'].
I tried this:
...ANSWER
Answered 2021-Mar-21 at 20:33Just try using array[array.length - 1] as the last element , Index -1 and negative indexes are undefined in JS as you can see
JavaScript arrays are collections of items, where each item is accessible through an index. These indexes are non-negative integers, and accessing a negative index will just return undefined
Note :If you are persistent to use negative indexes for some reason you can define a Proxy
QUESTION
I am trying to set the state of a variable "workspace", but when I console log the data I get an infinite loop. I am calling the axios "get" function inside of useEffect(), and console logging outside of this loop, so I don't know what is triggering all the re-renders. I have not found an answer to my specific problem in this question. Here's my code:
...ANSWER
Answered 2020-Sep-22 at 20:22your use of useEffect is not correct . if your dependency array is empty it gets called every time any state data changes .as a result your useEffect is called which causes setProposals then it again causes useEffect to run and so on
try this
QUESTION
I am using the implementation suggested here for adding log4net to current dot net core project, https://thecodebuzz.com/log4net-file-logging-console-logging-asp-net-core/ (this is using Microsoft.Extensions.Logging.Log4Net.AspNetCore), how can log4net be set up to log all unhandled exceptions? I haven't figured out a way to do this. Any pointers please?
Later edit:
...ANSWER
Answered 2020-Jun-11 at 00:12To log any unhandled exception in .net Core you must create an exception filter, something like this:
QUESTION
(I know similar questions have been asked in the past but I can't find a satisfactory answer... sorry!)
Hi all,
I'm using a for-loop within a for-loop, resulting in new arrays.
Each time the inner loop runs, I'd like to push the resulting array into a pre-created empty array. I'm expecting an array of arrays.
When I test by console-logging each of the arrays generated within the inner loop, all the arrays I expect are being created. But, weirdly, when I try to .push() each one onto the pre-created empty array, I end up with an array full of index numbers, rather than an array of arrays (???) .
If anyone managed to follow that description, please help!! Thanks very much!
...ANSWER
Answered 2019-Dec-21 at 00:20Your code works, but I think I see what might have you confused.
QUESTION
I'm trying to interpolate an nested property getter into angular html template:
...ANSWER
Answered 2019-Jun-26 at 03:59can use Elvis operator. The Elvis operator allows you to check for the existence an object before attempting to access its properties in your interpolations
Example {{ myObject?.myProps?.someProperty1 }}
QUESTION
In a NodeJS project, I have installed typescript 3.2, express 4.16 and @types/express 4.16
I am writing my application in Typescript to be later transpiled. The documentation for @types/express say to import and use this way:
ANSWER
Answered 2019-May-15 at 19:20As of TypeScript@2.7 the following syntax for importing default module is supported:
QUESTION
I'm having trouble getting the id's for documents I've pulled from a MongoDB database and then displayed on a series of cards I've rendered using React and Material-Ui.
I've tried console-logging id in my functions and in the API's that I've set up, but I either get 'undefined', which is what the API returns, or a bunch of meta-data, which is what the delete function returns.
Here is my delete function:
...ANSWER
Answered 2019-Apr-30 at 23:03The problem is that you are not passing the ID to the handelDelete function, you need to update your code as follows:
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