ion-python | A Python implementation of Amazon Ion | AWS library
kandi X-RAY | ion-python Summary
kandi X-RAY | ion-python Summary
An implementation of Amazon Ion for Python. This package is designed to work with Python 3.6+.
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Top functions reviewed by kandi - BETA
- Handles a symbol or keyword
- Create a Symbol Token
- Set the ion type
- Set the pending symbol
- Handles long strings
- Sets the line comment
- Resets an empty symbol
- Handles comments
- Generates the handler for the end of a blob
- Create an event transition
- Handles an annotation field
- Compare two timestamps
- Handles opening tokens
- Binds a list of handlers to tids
- Generates a handler for numeric values
- Fills the cache
- Handles numeric values
- Return a Timestamp object
- Creates a handler for short string
- Create a handler for inf or operator
- Create a Timestamp from a string
- Handles symbol identifiers
- Setup C extension
- Serialize a Timestamp to a bytes object
- Convert a datetime to bytes
- Resolve a placeholder table
ion-python Key Features
ion-python Examples and Code Snippets
Community Discussions
Trending Discussions on ion-python
QUESTION
I am trying to find the coefficients of a finite series, $f(x) = \sum_n a_nx^n$. To get the $m$th coefficient, we can take the $m$th derivative evaluated at zero. Therefore, the $m$th coefficient is
...ANSWER
Answered 2021-Apr-11 at 12:43The formulas in the Mathematics Stack Exchange answer that you're using to derive the coefficients of the power series expansion of F are based on complex analysis - coming for example from Cauchy's residue theorem (though other derivations are possible). One of the assumptions necessary to make those formulas work is that you have a holomorphic (i.e., complex differentiable) function.
Your definition of F gives a function that's not holomorphic. (For one thing, it always gives a real result for any complex input, which isn't possible for a non-constant holomorphic function.) But it's easily fixed to be holomorphic, while continuing to return the same result for real inputs.
Here's a fixed version of F, which replaces x.real with x. Since the input to exp is now complex, it's also necessary to use cmath.exp instead of math.exp to avoid a TypeError:
QUESTION
I want to have a data pipeline that essentially looks like this
where multiple tasks are triggered by corresponding pubsub messages, process data from pubsub messages' input, and the last task is triggered only when all these workflows are done. I manage to trigger the whole DAG using PubSub (following this guide with modifications for PubSub), but it triggers the whole DAG as opposed to a single task. Is there a way to only trigger 1 task in a DAG externally (from Cloud Function/PubSub?)
EDITThis is a shortened version of how I thought the DAG code could be:
...ANSWER
Answered 2021-Mar-24 at 13:24What you need is not to trigger the dag itself, but to trigger the different task separately based on bigquery. This can be achieved by an airflow sensor. https://airflow.apache.org/docs/apache-airflow/stable/_api/airflow/sensors/index.html SQL sensor: https://airflow.apache.org/docs/apache-airflow/stable/_modules/airflow/sensors/sql.html
In this case the dag will be triggered by a normal cron. The 2 sensor task will periodically query bigquery, if that query returns 'good to go' then it will start the tasks. Because the 2 sensor is independent the last task will only be executed when both sensor and task is done.
QUESTION
Suppose I have an image of a rainbow and would like to use Google Vision API to predict the score for a set of user-specified labels, for example:
ANSWER
Answered 2021-Mar-01 at 06:38To answer your questions:
- Yes it is possible return more than 10 labels. Just adjust the
max_resultsin the request to do that. - Yes, you can cross check the entered user-specific label on the response from the API.
- No, the labels used by Google are in a repository that is continuously growing in numbers which is probably in millions.
I did a different approach on using Vision API wherein I used batch_annotate_images() and used a request to define the type of detection that will be used. With this approach I can easily control the features to be used to process the image.
QUESTION
So I've found these two resources: Iterating over list of dictionaries and Nested dictionary comprehension python
but I'm new to python and am having trouble understanding nested structures within different structures (nested dictionaries within a list, or nested lists within a dictionary.
For instance, if I'm trying to get the dictionary within camera (so the key-item pairs of "color": "black", "res": 16 and then append that to a list.
Thanks much!
...ANSWER
Answered 2021-Feb-28 at 05:57if you want a function that will only get {"color":"black", "res":16} then you could do this:
QUESTION
In the code I have gotten from my previous issue: issue I could use iterations whilst modifying the a value of multiplication. I want to use the .prod function but with iterations of multiplication, division and addition. The calculations will go as follows, for the first calculation 10 + 10 *50/100 = 15 with the equation (Starting_val + Starting_val * Random_numb/100). The first element in Random_numb is 50 and Starting_val is updated to the value of 15. So for the second calculations it will be 15 + 15 *74/100 = 26.1 The value of the Starting_val is updated from 15 to 26.1 in the second calculation. I do not how to iterate this function with numpy. I wish to not use a for loop for this function.
ANSWER
Answered 2021-Feb-07 at 19:49Simple artithmetic transformations give you
QUESTION
I would like to see how to access dictionary from gensim lda topic model. This is particularly important when you train lda model, save and load it later on. In the other words, suppose lda_model is the model trained on a collection of documents. To get document-topic matrix one can do something like below or something like the one explained in https://www.kdnuggets.com/2019/09/overview-topics-extraction-python-latent-dirichlet-allocation.html:
...ANSWER
Answered 2021-Jan-25 at 15:09The general approach should be to store the dictionary created while training the model to a file using Dictionary.save method and read it back for reuse using Dictionary.load.
Only then Dictionary.token2id remain the same and can be used to map ids to words and vice-versa for a pretrained model.
QUESTION
X_train
------------------------------------------------------------------------------------------
| bias | word.lower | word[-3:] | word.isupper | word.isdigit | POS | BOS | EOS |
------------------------------------------------------------------------------------------
0 | 1.0 | headache, | HE, | True | False | NNP | True | False |
1 | 1.0 | mostly | tly | False | False | NNP | False | False |
2 | 1.0 | but | BUT | True | False | NNP | False | False |
...
...
...
y_train
------------
| OBI |
------------
0 | B-ADR |
1 | O |
2 | O |
...
...
...
ANSWER
Answered 2020-Dec-30 at 13:52Yes, they need to be numeric (not necessarily float). So if you have 4 distinct text labels in a column then you need to convert this to 4 numbers. To do this, use sklearn's labelencoder. If your data is in a pandas dataframe df,
QUESTION
areas = (end_x - start_x + 1) * (end_y - start_y + 1)
ANSWER
Answered 2020-Nov-05 at 03:41I guess that plus one is just used to get the exact area. For example, width begin in pixel 2, end in pixel 4. The exact width is 3 (pixel 2, 3, 4). A 3 equals to 4 - 2 + 1.
But in my opion, it's not essential to care about that. Just make sure you cal every area in the same standard.
QUESTION
I'm new to programming, and I was trying to build this birthday reminder app without following a specific tutorial, but rather trying to figure it out by myself, but I am stuck.
The first function adds birthdays to .txt file, no problem. But with the second, whether I try to retrieve birthday data from birthday_dict or from the file, the function just doesn't run.
For the second function, I tried to adjust this https://www.geeksforgeeks.org/birthday-reminder-application-python/, but it still doesn't work.
If anybody can help me with that, it would be great. Thanks!
...ANSWER
Answered 2020-Sep-03 at 06:02For viewing all the lines in a file you need to run .readlines() from the variable with open() and that will make a list as so:
QUESTION
import pandas as pd
from sklearn.linear_model import LinearRegression as lm
x = data_all[combi_list[0][1:]]
y = data_all[combi_list[0][0]]
lm.fit(x, y)
ANSWER
Answered 2020-Aug-31 at 13:45In your code
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ion-python
This repository contains two git submodules. ion-tests holds test data used by ion-python's unit tests and ion-c speeds up ion-python's simpleion module. The easiest way to clone the ion-python repository and initialize its ion-tests submodule is to run the following command. Alternatively, the submodule may be initialized independently from the clone by running the following commands.
In order to verify that all platforms we support work with Ion Python, we use a combination of tox with pyenv. We recommend that you use tox within a virtual environment to isolate from whatever is in the system installed Python (requirements.txt installs tox).
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