slam | Serverless deployment of Python APIs | Serverless library
kandi X-RAY | slam Summary
kandi X-RAY | slam Summary
Slam is a simple command-line utility that makes it very easy to do serverless deployments of Python web applications to AWS, using the Lambda and API Gateway services. In particular, Slam supports the transparent deployment of WSGI compliant applications.
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Top functions reviewed by kandi - BETA
- Deploy a stage
- Retrieve the output of the cfn
- Get the cfn template
- Return the default cfn parameters
- Generate a cfn template
- Get a DynamoDB table resource
- Return list of DynamoDB policies
- Returns a DynamoDB key schema
- Delete a task
- Delete a Lambda project
- Update a task
- Make a public task
- Create a new task
- Fuzz
- Load plugins
- Get the logs of a given stage
- Publish a new stage to a stage
- Build lambda package
- Print out the cfn template
- Runs a lambda function
- Invoke a lambda function
slam Key Features
slam Examples and Code Snippets
Community Discussions
Trending Discussions on slam
QUESTION
I having a starnd Spring boot application and have configured csrf in my sprint security configuration as below:
...ANSWER
Answered 2021-May-26 at 17:59the documentation from spring states the following:
By default the CookieCsrfTokenRepository will write to a cookie named XSRF-TOKEN and read it from a header named X-XSRF-TOKEN or the HTTP parameter _csrf. These defaults come from AngularJS
In the postman image you have provided all i can see is the xsrf-token as a cookie, but no header. You need to extract the value from that cookie and send it back in a proper header, or a proper query parameter.
QUESTION
I am quite new in Javascript and I got a simple assignment, which I can't seem to figure out. So in my assignment have a data array like this:
...ANSWER
Answered 2021-May-25 at 19:06You can use javascript Array filter method to filter your input array
QUESTION
I trained a logistic regression model for multi classification on text data. I wanted to generate a sample prediction from the model but I am getting this error
...ANSWER
Answered 2021-Apr-24 at 01:56The preprocessor_pipeline has to be the same for the training and test step.
Here is a minimal reproducible example:
QUESTION
Trying to animate a d3 bar chart, such that when loaded, all the bars will 'grow' taller elegantly from x-axis from height 0 to its scaled height. Instead my bar chart just 'slam down' from top left to the svg. See my observableHq demo.
My bars are drawn in the following way:
...ANSWER
Answered 2021-Apr-22 at 16:38Try:
QUESTION
I'm trying to recreate a animation / side scroll effect. The effect is from https://elrond.com/#partners and its located in the partner section. The slow moving circles. I tried to recreate it, but after slamming my head against mine desk for the duration of the weekend I couldn't recreate it. So here I'm asking for some help.
I made a little code pen to show where I'm at now.
...ANSWER
Answered 2021-Apr-21 at 08:13To get the desired effect you need two of the same sliders next to eachother (slider-main and slider-copy in the snippet).
I used CSS variables to make it easier to calculate offsets and whitespace. The offset between the slides is based on the amount per row (--slides-per-row). These are set within the HTML so you can easily reuse the slider somewhere else.
QUESTION
I have an issue, or at least I'm not having the solution.
I'm getting some API calls via a map and I can console.log all results which is great, but the problem is that I want to combine all the results in one array.
...ANSWER
Answered 2021-Mar-08 at 22:28Have you tried pushing them into an array?
QUESTION
I want to get mapping to work using a Picamera. I have a Raspberry Pi running a cv_camera_node and an Ubuntu 20.04.1 running roscore, as well as, slam and rviz. I have OpenCV 4.2.0 and installed the following version of orb-slam2: https://github.com/appliedAI-Initiative/orb_slam_2_ros. I am running ROS Noetic. I have wrote the following launch file for slam:
ANSWER
Answered 2021-Feb-10 at 19:02Maybe your camera isn't getting picked up. You are using cv_camera_node meaning that the default topic will be cv_camera but orb_slam2 requires just camera. To solve this, go into the cv_camera_node.cpp which will look like this:
QUESTION
Query is below
{"from": 0, "size": 1000, "query": {"bool": {"must": {"query_string": {"query": "Love"}}}}}
If I pass Live also then also i need to get search results for Love
Mapping
...ANSWER
Answered 2021-Feb-17 at 10:33You can add the fuzziness parameter to your query, like this:
QUESTION
I have list of dictionary below
...ANSWER
Answered 2021-Feb-17 at 05:59I hope this counter example helps.
QUESTION
I have dictionary below
[{'id': 0, 'Title': 'The Land Girls', 'US Gross': 146083, 'Worldwide Gross': 146083, 'US DVD Sales': 'null', 'Production Budget': 8000000, 'Release Date': 'Jun 12 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Gramercy', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.1, 'IMDB Votes': 1071}, {'id': 1, 'Title': 'First Love, Last Rites', 'US Gross': 10876, 'Worldwide Gross': 10876, 'US DVD Sales': 'null', 'Production Budget': 300000, 'Release Date': 'Aug 07 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Strand', 'Source': 'null', 'Major Genre': 'Drama', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.9, 'IMDB Votes': 207}, {'id': 2, 'Title': 'I Married a Strange Person', 'US Gross': 203134, 'Worldwide Gross': 203134, 'US DVD Sales': 'null', 'Production Budget': 250000, 'Release Date': 'Aug 28 1998', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Lionsgate', 'Source': 'null', 'Major Genre': 'Comedy', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.8, 'IMDB Votes': 865}, {'id': 3, 'Title': "Let's Talk About Sex", 'US Gross': 373615, 'Worldwide Gross': 373615, 'US DVD Sales': 'null', 'Production Budget': 300000, 'Release Date': 'Sep 11 1998', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Fine Line', 'Source': 'null', 'Major Genre': 'Comedy', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 13, 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 4, 'Title': 'Slam', 'US Gross': 1009819, 'Worldwide Gross': 1087521, 'US DVD Sales': 'null', 'Production Budget': 1000000, 'Release Date': 'Oct 09 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Trimark', 'Source': 'Original Screenplay', 'Major Genre': 'Drama', 'Creative Type': 'Contemporary Fiction', 'Director': 'null', 'Rotten Tomatoes Rating': 62, 'IMDB Rating': 3.4, 'IMDB Votes': 165}, {'id': 5, 'Title': 'Mississippi Mermaid', 'US Gross': 24551, 'Worldwide Gross': 2624551, 'US DVD Sales': 'null', 'Production Budget': 1600000, 'Release Date': 'Jan 15 1999', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'MGM', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 6, 'Title': 'Following', 'US Gross': 44705, 'Worldwide Gross': 44705, 'US DVD Sales': 'null', 'Production Budget': 6000, 'Release Date': 'Apr 04 1999', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Zeitgeist', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Christopher Nolan', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 7.7, 'IMDB Votes': 15133}, {'id': 7, 'Title': 'Foolish', 'US Gross': 6026908, 'Worldwide Gross': 6026908, 'US DVD Sales': 'null', 'Production Budget': 1600000, 'Release Date': 'Apr 09 1999', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Artisan', 'Source': 'Original Screenplay', 'Major Genre': 'Comedy', 'Creative Type': 'Contemporary Fiction', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 3.8, 'IMDB Votes': 353}, {'id': 8, 'Title': 'Pirates', 'US Gross': 1641825, 'Worldwide Gross': 6341825, 'US DVD Sales': 'null', 'Production Budget': 40000000, 'Release Date': 'Jul 01 1986', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Roman Polanski', 'Rotten Tomatoes Rating': 25, 'IMDB Rating': 5.8, 'IMDB Votes': 3275}, {'id': 9, 'Title': 'Duel in the Sun', 'US Gross': 20400000, 'Worldwide Gross': 20400000, 'US DVD Sales': 'null', 'Production Budget': 6000000, 'Release Date': 'Dec 31 2046', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 86, 'IMDB Rating': 7, 'IMDB Votes': 2906}, {'id': 10, 'Title': 'Tom Jones', 'US Gross': 37600000, 'Worldwide Gross': 37600000, 'US DVD Sales': 'null', 'Production Budget': 1000000, 'Release Date': 'Oct 07 1963', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 81, 'IMDB Rating': 7, 'IMDB Votes': 4035}, {'id': 11, 'Title': 'Oliver!', 'US Gross': 37402877, 'Worldwide Gross': 37402877, 'US DVD Sales': 'null', 'Production Budget': 10000000, 'Release Date': 'Dec 11 1968', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Sony Pictures', 'Source': 'null', 'Major Genre': 'Musical', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 84, 'IMDB Rating': 7.5, 'IMDB Votes': 9111}, {'id': 12, 'Title': 'To Kill A Mockingbird', 'US Gross': 13129846, 'Worldwide Gross': 13129846, 'US DVD Sales': 'null', 'Production Budget': 2000000, 'Release Date': 'Dec 25 1962', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Universal', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 97, 'IMDB Rating': 8.4, 'IMDB Votes': 82786}, {'id': 13, 'Title': 'Tora, Tora, Tora', 'US Gross': 29548291, 'Worldwide Gross': 29548291, 'US DVD Sales': 'null', 'Production Budget': 25000000, 'Release Date': 'Sep 23 1970', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Richard Fleischer', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 14, 'Title': 'Hollywood Shuffle', 'US Gross': 5228617, 'Worldwide Gross': 5228617, 'US DVD Sales': 'null', 'Production Budget': 100000, 'Release Date': 'Mar 01 1987', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 87, 'IMDB Rating': 6.8, 'IMDB Votes': 1532}]
How to find the movies which IMDB Rating > 6 using DSL query
...ANSWER
Answered 2021-Feb-17 at 05:40You can use range query. Try out this below query
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Vulnerabilities
No vulnerabilities reported
Install slam
You can use slam like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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