![a veeer death run 0.1 a veeer death run 0.1](https://i.ytimg.com/vi/hfYjQLNHSVU/maxresdefault.jpg)
close ensure # YOU SHALL NOT PASS # Skip at_exit handlers. timeout ( timeout ) do # Run block yield end rescue Exception => e e end w. pipe # Start subprocess pid = fork do # Child begin r. store key, data, bucket, opts end rescue Timeout :: Error raise SubprocessTimedOut end end def fork_to ( timeout = 4 ) r, w, pid = nil, nil, nil begin # Open pipe r, w = IO. establish_connection! ( :access_key_id => KEY, :secret_access_key => SECRET ) AWS :: S3 :: S3Object. Fork to the rescue! def s3 ( key, data, bucket, opts ) begin fork_to do AWS :: S3 :: Base.
![a veeer death run 0.1 a veeer death run 0.1](https://i.ytimg.com/vi/6LI1cfHqr_M/maxresdefault.jpg)
To use it in threaded code, it’s necessary to isolate S3 operations in memory. Hell, it’s not even reusable most methods go through a class constant.
A VEEER DEATH RUN 0.1 SOFTWARE
“Work Product” means each invention, modification, discovery, design, development, improvement, process, software program, work of authorship, documentation, formula, data, technique, know-how, secret or intellectual property right whatsoever or any interest therein (whether or not patentable or registrable under copyright or similar statutes or subject to analogous protection) that is made, conceived, discovered, or reduced to practice by Contractor (either alone or with others) and that (i) relates to Company’s business or any customer of or supplier to Company or any of the products or services being developed, manufactured or sold by Company or which may be used in relation therewith, (ii) results from the services performed by Contractor for Company or (iii) results from the use of premises or personal property (whether tangible or intangible) owned, leased or contracted for by Company.ĪWS::S3 is not threadsafe. All Work Product (as defined below) and benefits thereof shall immediately and automatically be the sole and absolute property of Company, and Company shall own all Work Product developed pursuant to this Agreement. Even if I were able to defend myself against legal challenge, standard contracts for software consulting are absurd. I just don’t have the resources or ability to reasonably defend myself from a lawsuit retaining a lawyer for a dozen hours would literally bankrupt me. Destructuring bind makes this... not totally awful, but a little awkward: ( reduce ( fn x ] ) ) => The usual answer to this is to make the accumulator a vector tuple. For example, what if you want to find the mean of some numbers in a single pass? You need two accumulator variables–a sum and a count. In writing reductions, there are some problems that I run into over and over. That accumulator is the return value of reduce. f returns a new accumulator value acc1, which is then passed to (f acc1 x1) to produce a new accumulator acc2, and so on until every x in xs is folded into the accumulator. It then invokes (f init x0) where x0 is the first element in xs. If you’re not familiar with Clojure’s reduce, it takes a reducing function f, an initial accumulator init, and a collection xs.
![a veeer death run 0.1 a veeer death run 0.1](https://i.ytimg.com/vi/25T_HNElKVw/maxresdefault.jpg)
For example, summing a vector of integers: ( reduce ( fn ( + sum x )) 0 ) => 6 I write a lot of reductions: loops that combine every element from a collection in some way.