Results for let-else

A procedural macro that enhance the `let-else` syntax in Rust.

A macro for unwrapping an enum value into an Option.

Macro implementation of RFC 1303: a guard-let-else statement a la Swift

Convenient macro to extract a value via `if let`, and `return` in the else case

The macro for the lazy.

Macros to make early returns easier to work with in Rust

Proc-macro for nested enum paths like Enum1::Variant1::VariantA

Graph-native semantic search for Arrow RecordBatches — embeddings, traversal, hybrid ranking, and caching

A fast, single-purpose CLI tool to analyze Rust codebase metrics with test/production breakdowns

AWS SQS extended client functionality from amazon-sqs-java-extended-client-lib

Fallible pattern matching with a function-like syntax

Macros for an unnested control flow.

Let someone else remember what you commited

A library that lets you export apkg packaged decks for Anki. Designed to deal with creation / exporting and not much else

PairKit lets you temporarily expose any ports, on your local computer, to someone else on the Internet. This makes it great for sharing your local web server with a friend, or letting a buddy ssh into your box to pair with you on some code. PairKit uses SSH to set up reverse tunnels (one per exposed port) to your computer through a public server.

This framework lets you build & easily layout dashboards with your own custom widgets. Use it to make a status boards for your ops team, or use it to track signups, conversion rates, or whatever else metrics you'd like to see in one spot. Included with the framework are ready-made widgets for you to use or customize. All of this code was extracted out of a project at Shopify that displays dashboards on TVs around the office.

lazy_migrate lets you easily see which migrations have and have not been run, and makes it easy to up/down/migrate/rollback your migrations through a terminal UI. You can even bump migration versions in the event that you've just pulled master and somebody else merged their migration before yours.

proc_for_case_equality - For using procs in case comparisons

This framework lets you build & easily layout dashboards with your own custom widgets. Use it to make a status boards for your ops team, or use it to track signups, conversion rates, or whatever else metrics you'd like to see in one spot. Included with the framework are ready-made widgets for you to use or customize. All of this code was extracted out of a project at Shopify that displays dashboards on TVs around the office.

This framework lets you build & easily layout dashboards with your own custom widgets. Use it to make a status boards for your ops team, or use it to track signups, conversion rates, or whatever else metrics you'd like to see in one spot. Included with the framework are ready-made widgets for you to use or customize. All of this code was extracted out of a project at Shopify that displays dashboards on TVs around the office.

Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) running in its own process. You then configure(see the `syslog2json` or the `nginxlog2json` script for examples) and run your filters in Ruby using the `Log2Json` module and its contained helper classes. `Log2Json` reads from stdin the logs(one log record per line), parses the log lines into JSON records, and then serializes and writes the records to stdout, which then can be piped to another process for processing or sending it to somewhere else. Currently, Log2json ships with a `tail-log` script that can be run as the input process. It's the same as using the Linux `tail` utility with the `-v -F` options except that it also tracks the positions(as the numbers of lines read from the beginning of the files) in a few files in the file system so that if the input process is interrupted, it can continue reading from where it left off next time if the files had been followed. This feature is similar to the sincedb feature in Logstash's file input. Note: If you don't need the tracking feature(ie, you are fine with always tailling from the end of file with `-v -F -n0`), then you can just use the `tail` utility that comes with your Linux distribution.(Or more specifically, the `tail` from the GNU coreutils). Other versions of the `tail` utility may also work, but are not tested. The input protocol expected by Log2json is very simple and documented in the source code. ** The `tail-log` script uses a patched version of `tail` from the GNU coreutils package. A binary of the `tail` utility compiled for Ubuntu 12.04 LTS is included with the Log2json gem. If the binary doesn't work for your distribution, then you'll need to get GNU coreutils-8.13, apply the patch(it can be found in the src/ directory of the installed gem), and then replace the bin/tail binary in the directory of the installed gem with your version of the binary. ** P.S. If you know of a way to configure and compile ONLY the tail program in coreutils, please let me know! The reason I'm not building tail post gem installation is that it takes too long to configure && make because that actually builds every utilties in coreutils. For shipping logs to Redis, there's the `lines2redis` script that can be used as the output process in the pipe. For shipping logs from Redis to ElasticSearch, Log2json provides a `redis2es` script. Finally here's an example of Log2json in action: From a client machine: tail-log /var/log/{sys,mail}log /var/log/{kern,auth}.log | syslog2json | queue=jsonlogs \ flush_size=20 \ flush_interval=30 \ lines2redis host.to.redis.server 6379 0 # use redis DB 0 On the Redis server: redis_queue=jsonlogs redis2es host.to.es.server Resources that help writing log2json filters: - look at log2json.rb source and example filters - http://grokdebug.herokuapp.com/ - http://www.ruby-doc.org/stdlib-1.9.3/libdoc/date/rdoc/DateTime.html#method-i-strftime

Get the latest search results streaming to your console: $ tweettail railsconf rubysolo: protip: it helps to actually READ the error message. #railsconf voxxit: So, everyone, how is #railsconf coming? When is the big 3.0 announcement? JesseGoldberg: @GavinStark I don't have as much to chat about as you do while you are at RailsConf. wndxlori: Anyone else not eaten yet #railsconf zenmatt: Great dinner and coversation with @heroku at n9ne in the palms. #railsconf Adkron: Damn you #railsconf why can I not visit you this year. I'm missing all the gitjour goodness. pengwynn: Meeting a lot of great folks at the open gov hackathon at #railsconf #gov20 davidjrice: Enjoying ordering taxis to our hotel... "for the wynn!" #railsconf quick noms at stripburger then whiskeys at the stage door with ey ftw! cricketgeek: as pointed out by @jnewland at sushi this evening... http://pic.im/2LY #railsconf paulog: had fun at gilt groupe coctail party. props. #railsconf Amuse_Bouche: I hope my two favorite people in the world form an alliance! (Swoon) RT: @dhh Loved talking to @tferris at #railsconf. So much resonates. abie: At open gov BOF #railsconf matthewcarriere: running a saas bof was great... I hope it gets some more time this week. #railsconf jdar: @tullytully RT @dgou:for the benefit of people at #railsconf keynote, here is penelope trunk on tim ferris: http://bit.ly/b81E yorzi: Reading: "Rails 3 and the Real Secret to High Productivity: RailsConf 2009 - May 04 - 07, 2009, Las Vegas,NV" ( http://tinyurl.com/czmkxn ) Or let it sit there all day with the -f option (like "tail -f"): tweettail -f railsconf

Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) running in its own process. You then configure(see the `syslog2json` or the `nginxlog2json` script for examples) and run your filters in Ruby using the `Log2Json` module and its contained helper classes. `Log2Json` reads from stdin the logs(one log record per line), parses the log lines into JSON records, and then serializes and writes the records to stdout, which then can be piped to another process for processing or sending it to somewhere else. Currently, Log2json ships with a `tail-log` script that can be run as the input process. It's the same as using the Linux `tail` utility with the `-v -F` options except that it also tracks the positions(as the numbers of lines read from the beginning of the files) in a few files in the file system so that if the input process is interrupted, it can continue reading from where it left off next time if the files had been followed. This feature is similar to the sincedb feature in Logstash's file input. Note: If you don't need the tracking feature(ie, you are fine with always tailling from the end of file with `-v -F -n0`), then you can just use the `tail` utility that comes with your Linux distribution.(Or more specifically, the `tail` from the GNU coreutils). Other versions of the `tail` utility may also work, but are not tested. The input protocol expected by Log2json is very simple and documented in the source code. ** The `tail-log` script uses a patched version of `tail` from the GNU coreutils package. A binary of the `tail` utility compiled for Ubuntu 12.04 LTS is included with the Log2json gem. If the binary doesn't work for your distribution, then you'll need to get GNU coreutils-8.13, apply the patch(it can be found in the src/ directory of the installed gem), and then replace the bin/tail binary in the directory of the installed gem with your version of the binary. ** P.S. If you know of a way to configure and compile ONLY the tail program in coreutils, please let me know! The reason I'm not building tail post gem installation is that it takes too long to configure && make because that actually builds every utilties in coreutils. For shipping logs to Redis, there's the `lines2redis` script that can be used as the output process in the pipe. For shipping logs from Redis to ElasticSearch, Log2json provides a `redis2es` script. Finally here's an example of Log2json in action: From a client machine: tail-log /var/log/{sys,mail}log /var/log/{kern,auth}.log | syslog2json | queue=jsonlogs \ flush_size=20 \ flush_interval=30 \ lines2redis host.to.redis.server 6379 0 # use redis DB 0 On the Redis server: redis_queue=jsonlogs redis2es host.to.es.server Resources that help writing log2json filters: - look at log2json.rb source and example filters - http://grokdebug.herokuapp.com/ - http://www.ruby-doc.org/stdlib-1.9.3/libdoc/date/rdoc/DateTime.html#method-i-strftime

# COM # COM is an object-oriented wrapper around WIN32OLE. COM makes it easy to add behavior to WIN32OLE objects, making them easier to work with from Ruby. ## Usage ## Using COM is rather straightforward. There’s basically four concepts to keep track of: 1. COM objects 2. Instantiable COM objects 3. COM events 4. COM errors Let’s look at each concept separately, using the following example as a base. module Word end class Word::Application < COM::Instantiable def without_interaction with_properties('displayalerts' => Word::WdAlertsNone){ yield } end def documents Word::Documents.new(com.documents) end def quit(saving = Word::WdDoNotSaveChanges, *args) com.quit saving, *args end end ### COM Objects ### A COM::Object is a wrapper around a COM object. It provides error specialization, which is discussed later and a few utility methods. You typically use it to wrap COM objects that are returned by COM methods. If we take the example given in the introduction, Word::Documents is a good candidate: class Word::Documents < COM::Object DefaultOpenOptions = { 'confirmconversions' => false, 'readonly' => true, 'addtorecentfiles' => false, 'visible' => false }.freeze def open(path, options = {}) options = DefaultOpenOptions.merge(options) options['filename'] = Pathname(path).to_com Word::Document.new(com.open(options)) end end Here we override the #open method to be a bit easier to use, providing sane defaults for COM interaction. Worth noting is the use of the #com method to access the actual COM object to invoke the #open method on it. Also note that Word::Document is also a COM::Object. COM::Object provides a convenience method called #with_properties, which is used in the #without_interaction method above. It lets you set properties on the COM::Object during the duration of a block, restoring them after it exits (successfully or with an error). ### Instantiable COM Objects ### Instantiable COM objects are COM objects that we can connect to and that can be created. The Word::Application object can, for example, be created. Instantiable COM objects should inherit from COM::Instantiable. Instantiable COM objects can be told what program ID to use, whether or not to allow connecting to an already running object, and to load its associated constants upon creation. The program ID is used to determine what instantiable COM object to connect to. By default the name of the COM::Instantiable class’ name is used, taking the last two double-colon-separated components and joining them with a dot. For Word::Application, the program ID is “Word.Application”. The program ID can be set by using the .program_id method: class IDontCare::ForConventions < COM::Instantiable program_id 'Word.Application' end The program ID can be accessed with the same method: Word::Application.program_id # ⇒ 'Word.Application' Connecting to an already running COM object is not done by default, but is sometimes desirable: the COM object might take a long time to create, or some common state needs to be accessed. If the default for a certain instantiable COM object should be to connect, this can be done using the .connect method: class Word::Application < COM::Instantiable connect end If no running COM object is available, then a new COM object will be created in its stead. Whether or not a class uses the connection method can be queried with the .connect? method: Word::Application.connect? # ⇒ true Whether or not to load constants associated with an instantiable COM object is set with the .constants method: class Word::Application < COM::Instantiable constants true end and can similarly be checked: Word::Application.constants? # ⇒ true Constants are loaded by default. When an instance of the instantiable COM object is created, a check is run to see if constants should be loaded and whether or not they already have been loaded. If they should be loaded and they haven’t already been loaded, they’re, you guessed it, loaded. The constants are added to the module containing the COM::Instantiable. Thus, for Word::Application, the Word module will contain all the constants. Whether or not the constants have already been loaded can be checked with .constants_loaded?: Word::Application.constants_loaded # ⇒ false That concludes the class-level methods. Let’s begin with the #connected? method among the instance-level methods. This method queries whether or not this instance connected to an already running COM object: Word::Application.new.connected? # ⇒ false This can be very important in determining how shutdown of a COM object should be done. If you connected to an already COM object it might be foolish to shut it down if someone else is using it. The #initialize method takes a couple of options: * connect: whether or not to connect to a running instance * constants: whether or not to load constants These options will, when given, override the class-level defaults. ### Events ### COM events are easily dealt with: class Word::Application < COM::Instantiable def initialize(options = {}) super @events = COM::Events.new(com, 'ApplicationEvents', 'OnQuit') end def quit(saving = Word::WdDoNotSaveChanges, *args) @events.observe('OnQuit', proc{ com.quit saving, *args }) do yield if block_given? end end end To tell you the truth this API sucks and will most likely be rewritten. The reason that it is the way it is is that WIN32OLE, which COM wraps, sucks. It’s event API is horrid and the implementation is buggy. It will keep every registered event block in memory for ever, freeing neither the blocks nor the COM objects that yield the events. ### Errors ### All errors generated by COM methods descend from COM::Error, except for those cases where a Ruby error already exists. The following HRESULT error codes are turned into Ruby errors: HRESULT Error Code | Error Class -------------------|------------ 0x80004001 | NotImplementedError 0x80020005 | TypeError 0x80020006 | NoMethodError 0x8002000e | ArgumentError 0x800401e4 | ArgumentError There are also a couple of other HRESULT error codes that are turned into more specific errors than COM::Error: HRESULT Error Code | Error Class -------------------|------------ 0x80020003 | MemberNotFoundError 0x800401e3 | OperationUnavailableError Finally, when a method results in any other error, a COM::MethodInvocationError will be raised, which can be queried for the specifics, specifically #message, #method, #server, #code, #hresult_code, and #hresult_message. ### Pathname ### The Pathname object receives an additional method, #to_com. This method is useful for when you want to pass a Pathname object to a COM method. Simply call #to_com to turn it into a String of the right encoding for COM: Word::Application.new.documents.open(Pathname('a.docx').to_com) # ⇒ Word::Document ## Installation ## Install COM with % gem install com ## License ## You may use, copy and redistribute this library under the same [terms][1] as Ruby itself. [1]: http://www.ruby-lang.org/en/LICENSE.txt ## Contributors ## * Nikolai Weibull

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