nuclear | Declarative parser for command line arguments | Parser library
kandi X-RAY | nuclear Summary
kandi X-RAY | nuclear Summary
nuclear is a declarative parser for command line interfaces in Python. It's a binding glue between CLI shell arguments and functions being invoked. It mostly focuses on building multi level command trees. nuclear parses and validates the command line arguments provided by the user when starting a console application. It then automatically invokes the appropriate action, based on the declared Command-Line Interface rules, injecting all the necessary parameters. You don't need to write the "glue" code to bind & parse the parameters each time. This makes writing console aplications simpler and clearer.
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Top functions reviewed by kandi - BETA
- Run the program
- Create a parser
- Generate a help string
- Run the CLI with the given arguments
- A default action rule
- Type demo
- Wait for the process to finish
- Types a line
- Run a shell command
- Returns a list of file completer names
- Determine the full directory containing the current listing
- Create a datetime format function
- Parse a string into a datetime object
- Get a logger
- List all available screens
- Construct a parameter rule
- Define a new arguments rule
- Creates a default action rule
- Validates all the rules in all_rules
- Create a subcommand rule
- Instantiate a flag
- Define a PositionalArgumentRule
- Create a dictionary rule
- Start countdown
nuclear Key Features
nuclear Examples and Code Snippets
Lines of Code : 61License : Permissive (MIT)
Copydef say_hello(name: str, decode: bool, repeat: int):
if decode:
name = base64.b64decode(name).decode('utf-8')
print(' '.join([f"I'm a {name}!"] * repeat))
def calculate_factorial(n: int):
print(reduce(lambda x, y: x * y, range(1, def foo(args):
print(args.x * args.y)
def bar_go(args):
print(args.z)
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers()
def _print_help(_: argparse.Namespace):
parser.print_help(sys.stderr)
parser.set_defaults(f foo@bar:~$ ./quickstart.py --help
Usage:
./quickstart.py [COMMAND] [OPTIONS]
Options:
-h, --help [SUBCOMMANDS...] - Display this help and exit
Commands:
hello NAME
calculate factorial N - Calculate factorial
calculate primes [N] def norm(tensor,
ord='euclidean',
axis=None,
keepdims=None,
name=None,
keep_dims=None):
r"""Computes the norm of vectors, matrices, and tensors.
This function can compute several different vector norm def norm_v2(tensor,
ord='euclidean',
axis=None,
keepdims=None,
name=None):
r"""Computes the norm of vectors, matrices, and tensors.
This function can compute several different vector norms (the 1-n df.groupby(['uniprot_id','protein_name'])[['protein_family','protein_subfamily']].agg('; '.join(x))
df.sort_values(['protein_family','protein_subfamily']).groupby(...)
df.groupby(['uniprot_data = [x.split('\t') for x in txt.split('\n')]
df = pd.DataFrame(data[1:], columns=data[0])
# this transform may be slow for large dataframes
stack['chained_capacity'] = \
stack.groupby('Case')['capacity_gw'].transform(lambda x: x.cumsum().shift(2))
# creates a temporary column; should be fast/scalablissue_dict = {'human rights':'HR', 'nuclear':'NU', 'sustainable development':'SD'}
key_pattern = re.compile(rf'({"|".join(issue_dict.keys())})')
for columnName, columnData in issues_df.iteritems():
matched_key = re.search(key_pattern,df.set_index('Index').T
Index Issue Description
A/RES/73/262 NaN Protection of the Palestinian civilian
A/RES/73/263 HR Situation of human rights in Myanmar
Community Discussions
Trending Discussions on nuclear
QUESTION
Below is a spacy function for the purpose of summarisation and I am trying to run this function through a pandas dataframe column and I am getting empty column everytime and I was hoping someone could help me figure this out?
...ANSWER
Answered 2022-Mar-16 at 21:32The logic of your text summarization assumes that there are valid sentences which SpaCy will recognize but your example text doesn't provide that. SpaCy will likely just put it all in one long sentence, I don't think the text you fed into it would be split into multiple sentences. The sentence segmentation needs valid text input with punctuation marks etc. Try it with a text consisting of multiple sentences recognizable for SpaCy.
That is combined with the fact that you use int(len(sentence_tokens)*per). int conversion rounds down to the next smaller full number. So int(1*0.05) = int(0.05) = 0, aka it returns 0 sentences. This happens for every text with less than 20 segmented sentences. So change this ratio or use something like max(1, int(len(sentence_tokens)*per)).
I think other than that the code should generally work. I didn't look at every detail though. But I am not sure if you know exactly what it does: it summarizes by keeping only the per share of most representative full sentences, it doesn't change anything on word level.
QUESTION
I am using Django as my web framework with Django REST API. Time and time again, when I try to migrate the table on production, I get a litany of errors. I believe my migrations on development are out of sync with production, and as a result, chaos. Thus each time I attempt major migrations on production I end up needing to use the nuclear option - delete all migrations, and if that fails, nuke the database. (Are migrations even supposed to be committed?)
This time however, I have too much data to lose. I would like to preserve the data. I would like to construct a new database with the new schema, and then manually transfer the old database to the new one. I am not exactly sure how to go about this. Does anyone have any suggestions? Additionally, how can I prevent this from occurring in the future?
...ANSWER
Answered 2022-Feb-13 at 21:47From what you're saying, it sounds like you have migration files that are out of wack and you're constantly running into issues relating to database migrations. I would recommend you just remove all of your migration files and start with a new initial migration after you make all the necessary model changes and restructuring of the schema.
When it comes time to make the migration on your production server, it might make the most sense to --fake-initial and manually making the database changes outside of Django so it matches your schema.
I might get a lot of backlash about this and obviously use your best judgement, but from my experience it was much easier to go about this problem this way and not wasting time making custom migration files that try to fix all of your problems.
Addressing your other questionsTime and time again, when I try to migrate the table on production, I get a litany of errors.
I highly recommend you take the time to get acquainted with how to make migrations by reading the official Django docs, you will save yourself a LOT of headache.
... each time I attempt major migrations on production I end up needing to use the nuclear option - delete all migrations
You shouldn't be deleting your migration files every time there's an issue.
Are migrations even supposed to be committed?
You should definitely be committing your migrations. If you're working on a team, they would be using the migration files you created to make the necessary changes on their local DB as well as any dev/prod server you may have.
QUESTION
I am currently trying to assign an IAM role to one of my instances via AWS CLI. The CLI is running on a linux instance that currently has Admin privileges for EC2 (AmazonEC2FullAccess policy).
I am trying to run the following command:
aws ec2 associate-iam-instance-profile --instance-id i-0xxxxxxxxxxx4 --iam-instance-profile Name=AmazonSSMRoleForInstancesQuickSetup
But I get the following error:
An error occurred (UnauthorizedOperation) when calling the AssociateIamInstanceProfile operation: You are not authorized to perform this operation. Encoded authorization failure message:
I am struggling to find what policy is required to allow this action from my AWS CLI instance. I even tried giving it the nuclear IAMFullAccess policy but I still got permission denied.
I've been trying to google it for a while now but I wasn't able to solve this problem by myself, please help.
Could you please tell me what policy is required in order to allow my instance to run aws ec2 associate-iam-instance-profile?
Additionally, is there a quick/easy way to find out what permissions are required to use certain aws cli functions?
...ANSWER
Answered 2022-Feb-03 at 19:33Thanks to the articles posted by @luk2302 I was able to solve this issue. I hope that it will help at least one person in the future!
I was able to solve it by adding an in-line policy to my machine's role via IAM. I am refering to the role attached to the machine I run AWS Cli on.
The in-line policy json:
QUESTION
I am a beginner and I try to create a dynamic pie chart using angular and Kendo UI. I want to get data from json file and it is located inside the assets folder. I tried to link the .ts file and json file. but the chart does not show.
This is my component.html file
...ANSWER
Answered 2022-Feb-01 at 13:23Try to modify the data you pass into tag to be like that [data]="data?.data", as [data] should be in the form of an array of objects, and your array of objects is the value of the key data in your json file.
QUESTION
I have the following table: Table
I would like to filter by max(version) for each "UFI" and "PERIODO_QH".
I have tried to use max(VERSION) but I have to group for ALL the rest of the columns so I obtain many versions due to the fact that the rest of the columns changes its values.
What I need in this example, it is to obtain only 2 rows, one for each UFI:
...ANSWER
Answered 2022-Jan-31 at 14:18You can do:
QUESTION
I have this dataframe in python df
ANSWER
Answered 2022-Jan-11 at 23:57something like this :
QUESTION
I'm trying to convert the output of this code into a dataframe. The code takes a tab-separated txt file from AWS S3 and turns it into a csv
...ANSWER
Answered 2022-Jan-07 at 03:02After set "txt" variable with s3 bucket contents, do this to load to dataframe:
QUESTION
I'm working on a project that requires coordinate mappings - determining whether a coordinate point exists in a series of polygons. The number of mappings is quite large - ~10 million coordinates across 100+ million polygons.
Before I continue, I've already looked at the questions here and here. This question isn't redundant since it involves dynamic points and a static polygons.
I've reduced the project's scope for this question by mapping a single coordinate across a subset of 2 million polygons. This is the code I use:
...ANSWER
Answered 2021-Oct-29 at 23:19QUESTION
Imagine a Deleter that has to stay with its object, as it is somewhat specific to its object. In my case, this is because the deleter uses an allocator library that needs to know the object size when deallocating the memory. Because of inheritance, I cannot simply use sizeof(T) but instead need to store the size of the derived object in the deleter on object creation.
ANSWER
Answered 2021-Oct-15 at 13:44The unique_ptr has a member type pointerwhich is equal to std::remove_reference::type::pointer if that type exists, otherwise T*. Must satisfy NullablePointer.
So you may try to add a pointer type to your deleter like this:
QUESTION
I am trying to make a google sheet that has a list of employees grouped by work area, where employees can be in multiple sections.
In our data structure we have a column G that is all the different groups they are approved to work in "Discord", "Live Monitoring", etc etc etc... That is just line feed separated text.
I have combined some queries like this that works from a data standpoint:
...ANSWER
Answered 2021-Sep-08 at 23:20try:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install nuclear
./quickstart.py hello NAME --decode --repeat=3 mapped to say_hello function,
./quickstart.py calculate factorial N mapped to calculate_factorial function,
./quickstart.py calculate primes N mapped to calculate_primes function,
hello command has one positional argument NAME, one boolean flag decode and one numerical parameter repeat.
calculate command has 2 another subcommands: factorial subcommand has one positional argument N, primes subcommand has one positional argument N,
CliBuilder() builds CLI tree for entire application.
.has(...) allows to embed other nested rules inside that builder. Returns CliBuilder itself for further building.
subcommand('hello', run=say_hello) binds hello command to say_hello function. From now, it will be invoked when hello command occurrs.
subcommand.has(...) embeds nested subrules on lower level for that subcommand only.
argument('name') declares positional argument. From now, first CLI argument (after binary name and commands) will be recognized as name variable.
flag('decode') binds --decode keyword to a flag named decode. So as it may be used later on. Providing help adds description to help screen.
parameter('repeat', type=int, default=1) binds --repeat keyword to a parameter named repeat, which type is int and its default value is 1.
Finally, invoking .run() does all the magic. It gets system arguments list, starts to process them and invokes most relevant action.
Install package from PyPI repository using pip:.
You can install package in develop mode in order to make any changes for your own:.
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