Documentation Generator

Package address contains logic for parsing a Terraform address. The Terraform address grammar is documented at https://www.terraform.io/docs/internals/resource-addressing.html Parsing is implemented using Pigeon, a PEG parser generator.

Package pbc provides structures for building pairing-based cryptosystems. It is a wrapper around the Pairing-Based Cryptography (PBC) Library authored by Ben Lynn (https://crypto.stanford.edu/pbc/). This wrapper provides access to all PBC functions. It supports generation of various types of elliptic curves and pairings, element initialization, I/O, and arithmetic. These features can be used to quickly build pairing-based or conventional cryptosystems. The PBC library is designed to be extremely fast. Internally, it uses GMP for arbitrary-precision arithmetic. It also includes a wide variety of optimizations that make pairing-based cryptography highly efficient. To improve performance, PBC does not perform type checking to ensure that operations actually make sense. The Go wrapper provides the ability to add compatibility checks to most operations, or to use unchecked elements to maximize performance. Since this library provides low-level access to pairing primitives, it is very easy to accidentally construct insecure systems. This library is intended to be used by cryptographers or to implement well-analyzed cryptosystems. Cryptographic pairings are defined over three mathematical groups: G1, G2, and GT, where each group is typically of the same order r. Additionally, a bilinear map e maps a pair of elements — one from G1 and another from G2 — to an element in GT. This map e has the following additional property: If G1 == G2, then a pairing is said to be symmetric. Otherwise, it is asymmetric. Pairings can be used to construct a variety of efficient cryptosystems. The PBC library currently supports 5 different types of pairings, each with configurable parameters. These types are designated alphabetically, roughly in chronological order of introduction. Type A, D, E, F, and G pairings are implemented in the library. Each type has different time and space requirements. For more information about the types, see the documentation for the corresponding generator calls, or the PBC manual page at https://crypto.stanford.edu/pbc/manual/ch05s01.html. This package must be compiled using cgo. It also requires the installation of GMP and PBC. During the build process, this package will attempt to include <gmp.h> and <pbc/pbc.h>, and then dynamically link to GMP and PBC. Most systems include a package for GMP. To install GMP in Debian / Ubuntu: For an RPM installation with YUM: For installation with Fink (http://www.finkproject.org/) on Mac OS X: For more information or to compile from source, visit https://gmplib.org/ To install the PBC library, download the appropriate files for your system from https://crypto.stanford.edu/pbc/download.html. PBC has three dependencies: the gcc compiler, flex (http://flex.sourceforge.net/), and bison (https://www.gnu.org/software/bison/). See the respective sites for installation instructions. Most distributions include packages for these libraries. For example, in Debian / Ubuntu: The PBC source can be compiled and installed using the usual GNU Build System: After installing, you may need to rebuild the search path for libraries: It is possible to install the package on Windows through the use of MinGW and MSYS. MSYS is required for installing PBC, while GMP can be installed through a package. Based on your MinGW installation, you may need to add "-I/usr/local/include" to CPPFLAGS and "-L/usr/local/lib" to LDFLAGS when building PBC. Likewise, you may need to add these options to CGO_CPPFLAGS and CGO_LDFLAGS when installing this package. This package is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. For additional details, see the COPYING and COPYING.LESSER files. This example generates a pairing and some random group elements, then applies the pairing operation. This example computes and verifies a Boneh-Lynn-Shacham signature in a simulated conversation between Alice and Bob.

Package pbc provides structures for building pairing-based cryptosystems. It is a wrapper around the Pairing-Based Cryptography (PBC) Library authored by Ben Lynn (https://crypto.stanford.edu/pbc/). This wrapper provides access to all PBC functions. It supports generation of various types of elliptic curves and pairings, element initialization, I/O, and arithmetic. These features can be used to quickly build pairing-based or conventional cryptosystems. The PBC library is designed to be extremely fast. Internally, it uses GMP for arbitrary-precision arithmetic. It also includes a wide variety of optimizations that make pairing-based cryptography highly efficient. To improve performance, PBC does not perform type checking to ensure that operations actually make sense. The Go wrapper provides the ability to add compatibility checks to most operations, or to use unchecked elements to maximize performance. Since this library provides low-level access to pairing primitives, it is very easy to accidentally construct insecure systems. This library is intended to be used by cryptographers or to implement well-analyzed cryptosystems. Cryptographic pairings are defined over three mathematical groups: G1, G2, and GT, where each group is typically of the same order r. Additionally, a bilinear map e maps a pair of elements — one from G1 and another from G2 — to an element in GT. This map e has the following additional property: If G1 == G2, then a pairing is said to be symmetric. Otherwise, it is asymmetric. Pairings can be used to construct a variety of efficient cryptosystems. The PBC library currently supports 5 different types of pairings, each with configurable parameters. These types are designated alphabetically, roughly in chronological order of introduction. Type A, D, E, F, and G pairings are implemented in the library. Each type has different time and space requirements. For more information about the types, see the documentation for the corresponding generator calls, or the PBC manual page at https://crypto.stanford.edu/pbc/manual/ch05s01.html. This package must be compiled using cgo. It also requires the installation of GMP and PBC. During the build process, this package will attempt to include <gmp.h> and <pbc/pbc.h>, and then dynamically link to GMP and PBC. Most systems include a package for GMP. To install GMP in Debian / Ubuntu: For an RPM installation with YUM: For installation with Fink (http://www.finkproject.org/) on Mac OS X: For more information or to compile from source, visit https://gmplib.org/ To install the PBC library, download the appropriate files for your system from https://crypto.stanford.edu/pbc/download.html. PBC has three dependencies: the gcc compiler, flex (http://flex.sourceforge.net/), and bison (https://www.gnu.org/software/bison/). See the respective sites for installation instructions. Most distributions include packages for these libraries. For example, in Debian / Ubuntu: The PBC source can be compiled and installed using the usual GNU Build System: After installing, you may need to rebuild the search path for libraries: It is possible to install the package on Windows through the use of MinGW and MSYS. MSYS is required for installing PBC, while GMP can be installed through a package. Based on your MinGW installation, you may need to add "-I/usr/local/include" to CPPFLAGS and "-L/usr/local/lib" to LDFLAGS when building PBC. Likewise, you may need to add these options to CGO_CPPFLAGS and CGO_LDFLAGS when installing this package. This package is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. For additional details, see the COPYING and COPYING.LESSER files. This example generates a pairing and some random group elements, then applies the pairing operation. This example computes and verifies a Boneh-Lynn-Shacham signature in a simulated conversation between Alice and Bob.

Package gorilla/pat is a request router and dispatcher with a pat-like interface. It is an alternative to gorilla/mux that showcases how it can be used as a base for different API flavors. Package pat is documented at: Let's start registering a couple of URL paths and handlers: Here we register three routes mapping URL paths to handlers. This is equivalent to how http.HandleFunc() works: if an incoming GET request matches one of the paths, the corresponding handler is called passing (http.ResponseWriter, *http.Request) as parameters. Note: gorilla/pat matches path prefixes, so you must register the most specific paths first. Note: differently from pat, these methods accept a handler function, and not an http.Handler. We think this is shorter and more convenient. To set an http.Handler, use the Add() method. Paths can have variables. They are defined using the format {name} or {name:pattern}. If a regular expression pattern is not defined, the matched variable will be anything until the next slash. For example: The names are used to create a map of route variables which are stored in the URL query, prefixed by a colon: As in the gorilla/mux package, other matchers can be added to the registered routes and URLs can be reversed as well. To build a URL for a route, first add a name to it: Then you can get it using the name and generate a URL: ...and the result will be a url.URL with the following path: Check the mux documentation for more details about URL building and extra matchers:

Package sponge is a powerful Go development framework that makes it easy to develop web, gRPC, and microservices projects, while supporting custom templates to generate code for various projects. ``` Github: https://github.com/zhufuyi/sponge Documentation: https://go-sponge.com Usage: sponge [command] Available Commands: completion Generate the autocompletion script for the specified shell config Generate go config code from yaml file help Help about any command init Initialize sponge merge Merge the generated code into the template file micro Generate protobuf, model, cache, dao, service, grpc, grpc+http, grpc-gw, grpc-cli code patch Patch the generated code plugins Managing sponge dependency plugins run Run code generation UI service template Generate code based on custom templates upgrade Upgrade sponge version web Generate model, cache, dao, handler, http code Flags: -h, --help help for sponge -v, --version version for sponge Use "sponge [command] --help" for more information about a command. ```

Package loukoum provides a simple SQL Query Builder. At the moment, only PostgreSQL is supported. If you have to generate complex queries, which rely on various contexts, loukoum is the right tool for you. It helps you generate SQL queries from composable parts. However, keep in mind it's not an ORM or a Mapper so you have to use a SQL connector (like "database/sql" or "sqlx", for example) to execute queries. If you're afraid to slip a tiny SQL injection manipulating fmt (or a byte buffer...) when you append conditions, loukoum is here to protect you against yourself. For further informations, you can read this documentation: https://github.com/ulule/loukoum/blob/master/README.md Or you can discover loukoum with these examples. An "insert" can be generated like that: Also, if you need an upsert, you can define a "on conflict" clause: Updating a news is also simple: You can remove a specific user: Or select a list of users...

Package loukoum provides a simple SQL Query Builder. At the moment, only PostgreSQL is supported. If you have to generate complex queries, which rely on various contexts, loukoum is the right tool for you. It helps you generate SQL queries from composable parts. However, keep in mind it's not an ORM or a Mapper so you have to use a SQL connector (like "database/sql" or "sqlx", for example) to execute queries. If you're afraid to slip a tiny SQL injection manipulating fmt (or a byte buffer...) when you append conditions, loukoum is here to protect you against yourself. For further informations, you can read this documentation: https://github.com/ulule/loukoum/blob/master/README.md Or you can discover loukoum with these examples. An "insert" can be generated like that: Also, if you need an upsert, you can define a "on conflict" clause: Updating a news is also simple: You can remove a specific user: Or select a list of users...

Cfgo from the YAML document, bi-directional synchronous multi-module configuration. The structure of the generated document will reflect the structure of the value itself. Maps and pointers (to struct, string, int, etc) are accepted as the in value. Struct fields are only unmarshalled if they are exported (have an upper case first letter), and are unmarshalled using the field name lowercased as the default key. Custom keys may be defined via the "yaml" name in the field tag: the content preceding the first comma is used as the key, and the following comma-separated options are used to tweak the marshalling process. Conflicting names result in a runtime error. The field tag format accepted is: The following flags are currently supported: In addition, if the key is `-`, the field is ignored.

Package main is the Markdown to Godoc converter. Sort of like godocdown (https://github.com/robertkrimen/godocdown), but in reverse. md-to-godoc takes markdown as input, and generates godoc-formatted package documentation. Way, **way** alpha. Barebones. The minimalest. Mostly here so we can see some code in godoc: • This is a test • And another test First, install the binary: Then, run it on one or more packages. If you'd like to generate a doc.go file in the current package (that already has a README.md), simply run md-to-godoc with no flags: To generate doc.go for all subpackages, you can do something like the following: • UberFx, on GitHub (https://github.com/uber-go/fx) and godoc.org (https://godoc.org/go.uber.org/fx) • Jaeger, on Github (https://github.com/uber/jaeger) and godoc.org (https://godoc.org/github.com/uber/jaeger/services/agent) Apache 2.0 (https://www.apache.org/licenses/LICENSE-2.0) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Package pango is a golang cross version mechanism for interacting with Palo Alto Networks devices (including physical and virtualized Next-generation Firewalls and Panorama). Versioning support is in place for PAN-OS 6.1 to 8.1. To start, create a client connection with the desired parameters and then initialize the connection: Initializing the connection creates the API key (if it was not already specified), then performs "show system info" to get the PAN-OS version. Once the firewall client is created, you can query and configure the Palo Alto Networks device from the functions inside the various namespaces of the client connection. Namespaces correspond to the various configuration areas available in the GUI. For example: Generally speaking, there are the following functions inside each namespace: These functions correspond with PAN-OS Get, Show, Set, Edit, and Delete API calls. Get(), Set(), and Edit() take and return normalized, version independent objects. These version safe objects are typically named Entry, which corresponds to how the object is placed in the PAN-OS XPATH. Some Entry objects have a special function, Defaults(). Invoking this function will initialize the object with some default values. Each Entry that implements Defaults() calls out in its documentation what parameters are affected by this, and what the defaults are. For any version safe object, attempting to configure a parameter that your PAN-OS doesn't support will be safely ignored in the resultant XML sent to the firewall / Panorama. The PAN-OS XML API Edit command can be used to both create as well as update existing config, however it can also truncate config for the given XPATH. Due to this, if you want to use Edit(), you need to make sure that you perform either a Get() or a Show() first, make your modification, then invoke Edit() using that object. If you don't do this, you will truncate any sub config. To learn more about PAN-OS XML API, please refer to the Palo Alto Netowrks API documentation. The following program will create ethernet1/7 as a DHCP interface and import it into vsys1 if it isn't already present:

Package ngrok makes it easy to work with the ngrok API from Go. The package is fully code generated and should always be up to date with the latest ngrok API. Full documentation of the ngrok API can be found at: https://ngrok.com/docs/api This package follows the best practices outlined for Go modules. All releases are tagged and any breaking changes will be reflected as a new major version. You should only import this package for production applications by pointing at a stable tagged version. The following example code demonstrates typical initialization and usage of the package to make an API call: API client configuration and all of the datatypes exchanged by the API are defined in this base package. There are subpackages for every API service and a Client type defined in those packages with methods to interact with that API service. It's usually easiest to find the subpackage of the service you want to work with and begin consulting the documentation there. It is recommended to construct the service-specific clients once at initialization time. The ClientConfig object in the root package supports functional options for configuration. The most common option to use is `WithHTTPClient()` which allows the caller to specify a different net/http.Client object. This allows the caller full customization over the transport if needed for use with proxies, custom TLS setups, observability and tracing, etc. Some arguments to methods in the ngrok API are optional and must be meaningfully distinguished from zero values, especially in Update() methods. This allows the API to distinguish between choosing not to update a value vs. setting it to zero or the empty string. For these arguments, ngrok follows the industry standard practice of using pointers to the primitive types and providing convenince functions like ngrok.String() and ngrok.Bool() for the caller to wrap literals as pointer values. For example: All List methods in the ngrok API are paged. This package abstracts that problem away from you by returning an iterator from any List API call. As you advance the iterator it will transparently fetch new pages of values for you behind the scenes. Note that the context supplied to the initial List() call will be used for all subsequent page fetches so it must be long enough to work through the entire list. Here's an example of paging through all of the TLS certificates on your account. Note that you must check for an error after Next() returns false to determine if the iterator failed to fetch the next page of results. All errors returned by the ngrok API are returned as structured payloads for easy error handling. Most non-networking errors returned by API calls in this package will be an ngrok.Error type. The ngrok.Error type exposes important metadata that will help you handle errors. Specifically it includes the HTTP status code of any failed operation as well as an error code value that uniquely identifies the failure condition. There are two helper functions that will make error handling easy: IsNotFound and IsErrorCode. IsNotFound helps identify the common case of accessing an API resource that no longer exists: IsErrorCode helps you identify specific ngrok errors by their unique ngrok error code. All ngrok error codes are documented at https://ngrok.com/docs/errors To check for a specific error condition, you would structure your code like the following example: All ngrok datatypes in this package define String() and GoString() methods so that they can be formatted into strings in helpful representations. The GoString() method is defined to pretty-print an object for debugging purposes with the "%#v" formatting verb.

Package gorma is a plugin generator for Goa (http://goa.design). See the documentation in the `dsl` package for details on how to create a definition for your API. The `example` folder contains an example Goa design package. The `models.go` file is the Gorma definition, which is responsible for generating all the files in the `example\models` folder. See specific documentation in the `dsl` package.

Package gofpdf implements a PDF document generator with high level support for text, drawing and images. - UTF-8 support - Choice of measurement unit, page format and margins - Page header and footer management - Automatic page breaks, line breaks, and text justification - Inclusion of JPEG, PNG, GIF, TIFF and basic path-only SVG images - Colors, gradients and alpha channel transparency - Outline bookmarks - Internal and external links - TrueType, Type1 and encoding support - Page compression - Lines, Bézier curves, arcs, and ellipses - Rotation, scaling, skewing, translation, and mirroring - Clipping - Document protection - Layers - Templates - Barcodes - Charting facility - Import PDFs as templates gofpdf has no dependencies other than the Go standard library. All tests pass on Linux, Mac and Windows platforms. gofpdf supports UTF-8 TrueType fonts and “right-to-left” languages. Note that Chinese, Japanese, and Korean characters may not be included in many general purpose fonts. For these languages, a specialized font (for example, NotoSansSC for simplified Chinese) can be used. Also, support is provided to automatically translate UTF-8 runes to code page encodings for languages that have fewer than 256 glyphs. This repository will not be maintained, at least for some unknown duration. But it is hoped that gofpdf has a bright future in the open source world. Due to Go’s promise of compatibility, gofpdf should continue to function without modification for a longer time than would be the case with many other languages. Forks should be based on the last viable commit. Tools such as active-forks can be used to select a fork that looks promising for your needs. If a particular fork looks like it has taken the lead in attracting followers, this README will be updated to point people in that direction. The efforts of all contributors to this project have been deeply appreciated. Best wishes to all of you. To install the package on your system, run Later, to receive updates, run The following Go code generates a simple PDF file. See the functions in the fpdf_test.go file (shown as examples in this documentation) for more advanced PDF examples. If an error occurs in an Fpdf method, an internal error field is set. After this occurs, Fpdf method calls typically return without performing any operations and the error state is retained. This error management scheme facilitates PDF generation since individual method calls do not need to be examined for failure; it is generally sufficient to wait until after Output() is called. For the same reason, if an error occurs in the calling application during PDF generation, it may be desirable for the application to transfer the error to the Fpdf instance by calling the SetError() method or the SetErrorf() method. At any time during the life cycle of the Fpdf instance, the error state can be determined with a call to Ok() or Err(). The error itself can be retrieved with a call to Error(). This package is a relatively straightforward translation from the original FPDF library written in PHP (despite the caveat in the introduction to Effective Go). The API names have been retained even though the Go idiom would suggest otherwise (for example, pdf.GetX() is used rather than simply pdf.X()). The similarity of the two libraries makes the original FPDF website a good source of information. It includes a forum and FAQ. However, some internal changes have been made. Page content is built up using buffers (of type bytes.Buffer) rather than repeated string concatenation. Errors are handled as explained above rather than panicking. Output is generated through an interface of type io.Writer or io.WriteCloser. A number of the original PHP methods behave differently based on the type of the arguments that are passed to them; in these cases additional methods have been exported to provide similar functionality. Font definition files are produced in JSON rather than PHP. A side effect of running go test ./... is the production of a number of example PDFs. These can be found in the gofpdf/pdf directory after the tests complete. Please note that these examples run in the context of a test. In order run an example as a standalone application, you’ll need to examine fpdf_test.go for some helper routines, for example exampleFilename() and summary(). Example PDFs can be compared with reference copies in order to verify that they have been generated as expected. This comparison will be performed if a PDF with the same name as the example PDF is placed in the gofpdf/pdf/reference directory and if the third argument to ComparePDFFiles() in internal/example/example.go is true. (By default it is false.) The routine that summarizes an example will look for this file and, if found, will call ComparePDFFiles() to check the example PDF for equality with its reference PDF. If differences exist between the two files they will be printed to standard output and the test will fail. If the reference file is missing, the comparison is considered to succeed. In order to successfully compare two PDFs, the placement of internal resources must be consistent and the internal creation timestamps must be the same. To do this, the methods SetCatalogSort() and SetCreationDate() need to be called for both files. This is done automatically for all examples. Nothing special is required to use the standard PDF fonts (courier, helvetica, times, zapfdingbats) in your documents other than calling SetFont(). You should use AddUTF8Font() or AddUTF8FontFromBytes() to add a TrueType UTF-8 encoded font. Use RTL() and LTR() methods switch between “right-to-left” and “left-to-right” mode. In order to use a different non-UTF-8 TrueType or Type1 font, you will need to generate a font definition file and, if the font will be embedded into PDFs, a compressed version of the font file. This is done by calling the MakeFont function or using the included makefont command line utility. To create the utility, cd into the makefont subdirectory and run “go build”. This will produce a standalone executable named makefont. Select the appropriate encoding file from the font subdirectory and run the command as in the following example. In your PDF generation code, call AddFont() to load the font and, as with the standard fonts, SetFont() to begin using it. Most examples, including the package example, demonstrate this method. Good sources of free, open-source fonts include Google Fonts and DejaVu Fonts. The draw2d package is a two dimensional vector graphics library that can generate output in different forms. It uses gofpdf for its document production mode. gofpdf is a global community effort and you are invited to make it even better. If you have implemented a new feature or corrected a problem, please consider contributing your change to the project. A contribution that does not directly pertain to the core functionality of gofpdf should be placed in its own directory directly beneath the contrib directory. Here are guidelines for making submissions. Your change should - be compatible with the MIT License - be properly documented - be formatted with go fmt - include an example in fpdf_test.go if appropriate - conform to the standards of golint and go vet, that is, golint . and go vet . should not generate any warnings - not diminish test coverage Pull requests are the preferred means of accepting your changes. gofpdf is released under the MIT License. It is copyrighted by Kurt Jung and the contributors acknowledged below. This package’s code and documentation are closely derived from the FPDF library created by Olivier Plathey, and a number of font and image resources are copied directly from it. Bruno Michel has provided valuable assistance with the code. Drawing support is adapted from the FPDF geometric figures script by David Hernández Sanz. Transparency support is adapted from the FPDF transparency script by Martin Hall-May. Support for gradients and clipping is adapted from FPDF scripts by Andreas Würmser. Support for outline bookmarks is adapted from Olivier Plathey by Manuel Cornes. Layer support is adapted from Olivier Plathey. Support for transformations is adapted from the FPDF transformation script by Moritz Wagner and Andreas Würmser. PDF protection is adapted from the work of Klemen Vodopivec for the FPDF product. Lawrence Kesteloot provided code to allow an image’s extent to be determined prior to placement. Support for vertical alignment within a cell was provided by Stefan Schroeder. Ivan Daniluk generalized the font and image loading code to use the Reader interface while maintaining backward compatibility. Anthony Starks provided code for the Polygon function. Robert Lillack provided the Beziergon function and corrected some naming issues with the internal curve function. Claudio Felber provided implementations for dashed line drawing and generalized font loading. Stani Michiels provided support for multi-segment path drawing with smooth line joins, line join styles, enhanced fill modes, and has helped greatly with package presentation and tests. Templating is adapted by Marcus Downing from the FPDF_Tpl library created by Jan Slabon and Setasign. Jelmer Snoeck contributed packages that generate a variety of barcodes and help with registering images on the web. Jelmer Snoek and Guillermo Pascual augmented the basic HTML functionality with aligned text. Kent Quirk implemented backwards-compatible support for reading DPI from images that support it, and for setting DPI manually and then having it properly taken into account when calculating image size. Paulo Coutinho provided support for static embedded fonts. Dan Meyers added support for embedded JavaScript. David Fish added a generic alias-replacement function to enable, among other things, table of contents functionality. Andy Bakun identified and corrected a problem in which the internal catalogs were not sorted stably. Paul Montag added encoding and decoding functionality for templates, including images that are embedded in templates; this allows templates to be stored independently of gofpdf. Paul also added support for page boxes used in printing PDF documents. Wojciech Matusiak added supported for word spacing. Artem Korotkiy added support of UTF-8 fonts. Dave Barnes added support for imported objects and templates. Brigham Thompson added support for rounded rectangles. Joe Westcott added underline functionality and optimized image storage. Benoit KUGLER contributed support for rectangles with corners of unequal radius, modification times, and for file attachments and annotations. - Remove all legacy code page font support; use UTF-8 exclusively - Improve test coverage as reported by the coverage tool. Example demonstrates the generation of a simple PDF document. Note that since only core fonts are used (in this case Arial, a synonym for Helvetica), an empty string can be specified for the font directory in the call to New(). Note also that the example.Filename() and example.Summary() functions belong to a separate, internal package and are not part of the gofpdf library. If an error occurs at some point during the construction of the document, subsequent method calls exit immediately and the error is finally retrieved with the output call where it can be handled by the application.

protoc-gen-orion is a plugin for the Google protocol buffer compiler to generate Orion Go code. Run it by building this program and putting it in your path with the name The generated code is documented in the package comment for the library.

protoc-gen-orion is a plugin for the Google protocol buffer compiler to generate Orion Go code. Run it by building this program and putting it in your path with the name The generated code is documented in the package comment for the library.

Vet examines Go source code and reports suspicious constructs, such as Printf calls whose arguments do not align with the format string. Vet uses heuristics that do not guarantee all reports are genuine problems, but it can find errors not caught by the compilers. Vet is normally invoked using the go command by running "go vet": vets the package in the current directory. vets the package whose path is provided. Use "go help packages" to see other ways of specifying which packages to vet. Vet's exit code is 2 for erroneous invocation of the tool, 1 if a problem was reported, and 0 otherwise. Note that the tool does not check every possible problem and depends on unreliable heuristics so it should be used as guidance only, not as a firm indicator of program correctness. By default the -all flag is set so all checks are performed. If any flags are explicitly set to true, only those tests are run. Conversely, if any flag is explicitly set to false, only those tests are disabled. Thus -printf=true runs the printf check, -printf=false runs all checks except the printf check. By default vet uses the object files generated by 'go install some/pkg' to typecheck the code. If the -source flag is provided, vet uses only source code. Available checks: Flag: -asmdecl Mismatches between assembly files and Go function declarations. Flag: -assign Check for useless assignments. Flag: -atomic Common mistaken usages of the sync/atomic package. Flag: -bool Mistakes involving boolean operators. Flag: -buildtags Badly formed or misplaced +build tags. Flag: -cgocall Detect some violations of the cgo pointer passing rules. Flag: -composites Composite struct literals that do not use the field-keyed syntax. Flag: -copylocks Locks that are erroneously passed by value. Flag: -httpresponse Mistakes deferring a function call on an HTTP response before checking whether the error returned with the response was nil. Flag: -lostcancel The cancelation function returned by context.WithCancel, WithTimeout, and WithDeadline must be called or the new context will remain live until its parent context is cancelled. (The background context is never cancelled.) Flag: -methods Non-standard signatures for methods with familiar names, including: Flag: -nilfunc Comparisons between functions and nil. Flag: -printf Suspicious calls to functions in the Printf family, including any functions with these names, disregarding case: The -printfuncs flag can be used to redefine this list. If the function name ends with an 'f', the function is assumed to take a format descriptor string in the manner of fmt.Printf. If not, vet complains about arguments that look like format descriptor strings. It also checks for errors such as using a Writer as the first argument of Printf. Flag: -rangeloops Incorrect uses of range loop variables in closures. Flag: -shadow=false (experimental; must be set explicitly) Variables that may have been unintentionally shadowed. Flag: -shift Shifts equal to or longer than the variable's length. Flag: -structtags Struct tags that do not follow the format understood by reflect.StructTag.Get. Well-known encoding struct tags (json, xml) used with unexported fields. Flag: -tests Mistakes involving tests including functions with incorrect names or signatures and example tests that document identifiers not in the package. Flag: -unreachable Unreachable code. Flag: -unsafeptr Likely incorrect uses of unsafe.Pointer to convert integers to pointers. A conversion from uintptr to unsafe.Pointer is invalid if it implies that there is a uintptr-typed word in memory that holds a pointer value, because that word will be invisible to stack copying and to the garbage collector. Flag: -unusedresult Calls to well-known functions and methods that return a value that is discarded. By default, this includes functions like fmt.Errorf and fmt.Sprintf and methods like String and Error. The flags -unusedfuncs and -unusedstringmethods control the set. These flags configure the behavior of vet: For testing and debugging vet can be run directly by invoking "go tool vet" or just running the binary. Run this way, vet might not have up to date information for imported packages. vets the files named, all of which must be in the same package. recursively descends the directory, vetting each package it finds. Vet is a simple checker for static errors in Go source code. See doc.go for more information.

Package pdf provides a PDF writer type to generate PDF files. Create a new PDF writer by assigning pdf.NewPDF(paperSize) to a variable. Then call property setters and methods to render the document. Finally, call WriteFile(filename) to save the file, or use Bytes() to get the PDF document as an array of bytes.

Package hangulize transcribes non-Korean words into Hangul. Hangulize was inspired by Brian Jongseong Park (http://iceager.egloos.com/2610028). Based on this idea, the original Hangulize was developed in Python and went out in 2010 (https://github.com/sublee/hangulize). Since then, serving as a web application on https://hangulize.org/, it has been of great help for Korean translators. This Go re-implementation is a reboot of Hangulize with feature improvements. Basically, Hangulize transcribes with 5 steps. These steps include "Normalize", "Group", "Rewrite", "Transcribe", and "Syllabify". To clarify these concepts, let's consider an imaginary example of "Hello!" in English into "헬로!" (actually, English is not supported yet). First, Hangulize normalizes letter cases: And then, it groups letters by meanings: After that, grouped chunks are rewritten as source language-specific rules. This step is usually for minimizing the differences between pronunciation and spelling: And it transcribes rewritten chunks into Hangul Jamo phonemes. Finally, it composes Jamo phonemes into Hangul syllabic blocks and joins all groups. Some languages, such as Japanese, may require 2 more steps: "Phonemize" and "Transliterate". The prior is before the Normalize step, and the latter is after the Syllabify step. Japanese uses Kanji which is an ideogram. There is the Kanji-to-Kana mapping called Furigana. To get Furigana from Kanji, we need a lexical analysis based on several dictionaries. The Phonemize step guesses the phonograms from a spelling based on lexical analysis. Furthermore, Japanese uses the full-width characters for puctuations while Korean and European languages use the half-width. The full-width puctuations need to be replaced with the half-width and a space to generate a comfortable Korean word. The Transliterate step replaces them. A spec is written by the HGL format which is a configuration DSL for Hangulize 2. One spec is for one language transcription system. So we need to describe about the language at the first: Then write about yourself and the stage of this spec: We will write many patterns in rewrite/transcribe rules soon. Some expressions may appear many times annoyingly. To not repeat ourselves, we can use variables and macros. A variable is a combination of letters. Variable in pattern will match with one of the letters. Variable "foo" can be referenced with "<foo>" in the patterns. A macro expression is replaced with the target before parsing the patterns. "@" is the common macro for "<vowels>" variable: Now we can write "rewrite" rules. There are Pattern and RPattern. Pattern matches with letters in a word. RPattern represents how the matched letters should be replaced. A replaced word by a rule would become as the input for the next rule: Pattern is based on Regular Expression but it has it's own custom syntax. We call it "HRE" which means "Hangulize-specific Regular Expression". For the detail, see the documentation of "github.com/hangulize/hre". "transcribe" rules are exactly same with "rewrite" rules. But it's RPatterns represent Hangul Jamo phonemes. In contrast to "rewrite", a replaced word won't become as the input for the next rules: Finally, we should write expected transcription examples. They are used for unit testing. Verify your spec yourself:

Package gochrome aims to be a complete Chrome DevTools Protocol Viewer implementation. Versioned packages are available. Curently the only version is `tot` or Tip-of-Tree. Stable versions will be made available in the future. This is beta software and hasn't been well exercised in real-world applications. See https://chromedevtools.github.io/devtools-protocol/ The Chrome DevTools Protocol allows for tools to instrument, inspect, debug and profile Chromium, Chrome and other Blink-based browsers. Many existing projects currently use the protocol. The Chrome DevTools uses this protocol and the team maintains its API. Instrumentation is divided into a number of domains (DOM, Debugger, Network etc.). Each domain defines a number of commands it supports and events it generates. Both commands and events are serialized JSON objects of a fixed structure. You can either debug over the wire using the raw messages as they are described in the corresponding domain documentation, or use extension JavaScript API. The latest (tip-of-tree) protocol (tot) It changes frequently and can break at any time. However it captures the full capabilities of the Protocol, whereas the stable release is a subset. There is no backwards compatibility support guaranteed for the capabilities it introduces. Resources Basics: Using DevTools as protocol client The Developer Tools front-end can attach to a remotely running Chrome instance for debugging. For this scenario to work, you should start your host Chrome instance with the remote-debugging-port command line switch: Then you can start a separate client Chrome instance, using a distinct user profile: Now you can navigate to the given port from your client and attach to any of the discovered tabs for debugging: http://localhost:9222 You will find the Developer Tools interface identical to the embedded one and here is why: In this scenario, you can substitute Developer Tools front-end with your own implementation. Instead of navigating to the HTML page at http://localhost:9222, your application can discover available pages by requesting: http://localhost:9222/json and getting a JSON object with information about inspectable pages along with the WebSocket addresses that you could use in order to start instrumenting them. Remote debugging is especially useful when debugging remote instances of the browser or attaching to the embedded devices. Blink port owners are responsible for exposing debugging connections to the external users. This is especially handy to understand how the DevTools frontend makes use of the protocol. First, run Chrome with the debugging port open: Then, select the Chromium Projects item in the Inspectable Pages list. Now that DevTools is up and fullscreen, open DevTools to inspect it. Cmd-R in the new inspector to make the first restart. Now head to Network Panel, filter by Websocket, select the connection and click the Frames tab. Now you can easily see the frames of WebSocket activity as you use the first instance of the DevTools. To allow chrome extensions to interact with the protocol, we introduced chrome.debugger extension API that exposes this JSON message transport interface. As a result, you can not only attach to the remotely running Chrome instance, but also instrument it from its own extension. Chrome Debugger Extension API provides a higher level API where command domain, name and body are provided explicitly in the `sendCommand` call. This API hides request ids and handles binding of the request with its response, hence allowing `sendCommand` to report result in the callback function call. One can also use this API in combination with the other Extension APIs. If you are developing a Web-based IDE, you should implement an extension that exposes debugging capabilities to your page and your IDE will be able to open pages with the target application, set breakpoints there, evaluate expressions in console, live edit JavaScript and CSS, display live DOM, network interaction and any other aspect that Developer Tools is instrumenting today. Opening embedded Developer Tools will terminate the remote connection and thus detach the extension. https://chromedevtools.github.io/devtools-protocol/#simultaneous The canonical protocol definitions live in the Chromium source tree: (browser_protocol.json and js_protocol.json). They are maintained manually by the DevTools engineering team. These files are mirrored (hourly) on GitHub in the devtools-protocol repo. The declarative protocol definitions are used across tools. Within Chromium, a binding layer is created for the Chrome DevTools to interact with, and separately the protocol is used for Chrome Headless’s C++ interface. What’s the protocol_externs file It’s created via generate_protocol_externs.py and useful for tools using closure compiler. The TypeScript story is here. Not yet. See bugger-daemon’s third-party docs. See also the endpoints implementation in Chromium. /json/protocol was added in Chrome 60. The endpoint is exposed as webSocketDebuggerUrl in /json/version. Note the browser in the URL, rather than page. If Chrome was launched with --remote-debugging-port=0 and chose an open port, the browser endpoint is written to both stderr and the DevToolsActivePort file in browser profile folder. Yes, as of Chrome 63! See Multi-client remote debugging support. Upon disconnnection, the outgoing client will receive a detached event. For example: View the enum of possible reasons. (For reference: the original patch). After disconnection, some apps have chosen to pause their state and offer a reconnect button.

Package types implements concrete types for the dcrwallet JSON-RPC API. When communicating via the JSON-RPC protocol, all of the commands need to be marshalled to and from the the wire in the appropriate format. This package provides data structures and primitives that are registered with dcrjson to ease this process. An overview specific to this package is provided here, however it is also instructive to read the documentation for the dcrjson package (https://godoc.org/github.com/decred/dcrd/dcrjson). The types in this package map to the required parts of the protocol as discussed in the dcrjson documention To simplify the marshalling of the requests and responses, the dcrjson.MarshalCmd and dcrjson.MarshalResponse functions may be used. They return the raw bytes ready to be sent across the wire. Unmarshalling a received Request object is a two step process: This approach is used since it provides the caller with access to the additional fields in the request that are not part of the command such as the ID. Unmarshalling a received Response object is also a two step process: As above, this approach is used since it provides the caller with access to the fields in the response such as the ID and Error. This package provides two approaches for creating a new command. This first, and preferred, method is to use one of the New<Foo>Cmd functions. This allows static compile-time checking to help ensure the parameters stay in sync with the struct definitions. The second approach is the dcrjson.NewCmd function which takes a method (command) name and variable arguments. Since this package registers all of its types with dcrjson, the function will recognize them and includes full checking to ensure the parameters are accurate according to provided method, however these checks are, obviously, run-time which means any mistakes won't be found until the code is actually executed. However, it is quite useful for user-supplied commands that are intentionally dynamic. To facilitate providing consistent help to users of the RPC server, the dcrjson package exposes the GenerateHelp and function which uses reflection on commands and notifications registered by this package, as well as the provided expected result types, to generate the final help text. In addition, the dcrjson.MethodUsageText function may be used to generate consistent one-line usage for registered commands and notifications using reflection.

Package pq is a pure Go Postgres driver for the database/sql package. In most cases clients will use the database/sql package instead of using this package directly. For example: You can also connect to a database using a URL. For example: Similarly to libpq, when establishing a connection using pq you are expected to supply a connection string containing zero or more parameters. A subset of the connection parameters supported by libpq are also supported by pq. Additionally, pq also lets you specify run-time parameters (such as search_path or work_mem) directly in the connection string. This is different from libpq, which does not allow run-time parameters in the connection string, instead requiring you to supply them in the options parameter. For compatibility with libpq, the following special connection parameters are supported: Valid values for sslmode are: See http://www.postgresql.org/docs/current/static/libpq-connect.html#LIBPQ-CONNSTRING for more information about connection string parameters. Use single quotes for values that contain whitespace: A backslash will escape the next character in values: Note that the connection parameter client_encoding (which sets the text encoding for the connection) may be set but must be "UTF8", matching with the same rules as Postgres. It is an error to provide any other value. In addition to the parameters listed above, any run-time parameter that can be set at backend start time can be set in the connection string. For more information, see http://www.postgresql.org/docs/current/static/runtime-config.html. Most environment variables as specified at http://www.postgresql.org/docs/current/static/libpq-envars.html supported by libpq are also supported by pq. If any of the environment variables not supported by pq are set, pq will panic during connection establishment. Environment variables have a lower precedence than explicitly provided connection parameters. database/sql does not dictate any specific format for parameter markers in query strings, and pq uses the Postgres-native ordinal markers, as shown above. The same marker can be reused for the same parameter: pq does not support the LastInsertId() method of the Result type in database/sql. To return the identifier of an INSERT (or UPDATE or DELETE), use the Postgres RETURNING clause with a standard Query or QueryRow call: For more details on RETURNING, see the Postgres documentation: For additional instructions on querying see the documentation for the database/sql package. pq may return errors of type *pq.Error which can be interrogated for error details: See the pq.Error type for details. You can perform bulk imports by preparing a statement returned by pq.CopyIn (or pq.CopyInSchema) in an explicit transaction (sql.Tx). The returned statement handle can then be repeatedly "executed" to copy data into the target table. After all data has been processed you should call Exec() once with no arguments to flush all buffered data. Any call to Exec() might return an error which should be handled appropriately, but because of the internal buffering an error returned by Exec() might not be related to the data passed in the call that failed. CopyIn uses COPY FROM internally. It is not possible to COPY outside of an explicit transaction in pq. Usage example: PostgreSQL supports a simple publish/subscribe model over database connections. See http://www.postgresql.org/docs/current/static/sql-notify.html for more information about the general mechanism. To start listening for notifications, you first have to open a new connection to the database by calling NewListener. This connection can not be used for anything other than LISTEN / NOTIFY. Calling Listen will open a "notification channel"; once a notification channel is open, a notification generated on that channel will effect a send on the Listener.Notify channel. A notification channel will remain open until Unlisten is called, though connection loss might result in some notifications being lost. To solve this problem, Listener sends a nil pointer over the Notify channel any time the connection is re-established following a connection loss. The application can get information about the state of the underlying connection by setting an event callback in the call to NewListener. A single Listener can safely be used from concurrent goroutines, which means that there is often no need to create more than one Listener in your application. However, a Listener is always connected to a single database, so you will need to create a new Listener instance for every database you want to receive notifications in. The channel name in both Listen and Unlisten is case sensitive, and can contain any characters legal in an identifier (see http://www.postgresql.org/docs/current/static/sql-syntax-lexical.html#SQL-SYNTAX-IDENTIFIERS for more information). Note that the channel name will be truncated to 63 bytes by the PostgreSQL server. You can find a complete, working example of Listener usage at http://godoc.org/github.com/flynn/pq/listen_example.

Package muzayaf is a comprehensive data generation library for Go that provides functionality for generating random test data. It consists of several sub-packages, each focused on a specific type of data generation. The muzayaf library is organized into the following packages: To install muzayaf, use: Import the specific packages you need: Then use the package functions to generate data: For more detailed information about each package, see their individual documentation.

┌────────────────────────────────── WARNING ───────────────────────────────────┐ │ This "Module.go" file was automatically generated. │ │ Updates to any part of this file—other than the Module Description │ │ and the Global Functions sections may be overwritten. │ └──────────────────────────────────────────────────────────────────────────────┘ Package "module" declares type aliases for the commonly used types declared in the packages contained in this module. It also provides a default constructor for each commonly used class that is exported by the module. Each constructor delegates the actual construction process to its corresponding concrete class declared in the corresponding package contained within this module. For detailed documentation on this entire module refer to the wiki:

Package qbusiness provides the API client, operations, and parameter types for QBusiness. This is the Amazon Q Business API Reference. Amazon Q Business is a fully managed, generative-AI powered enterprise chat assistant that you can deploy within your organization. Amazon Q Business enhances employee productivity by supporting key tasks such as question-answering, knowledge discovery, writing email messages, summarizing text, drafting document outlines, and brainstorming ideas. Users ask questions of Amazon Q Business and get answers that are presented in a conversational manner. For an introduction to the service, see the Amazon Q Business User Guide. For an overview of the Amazon Q Business APIs, see Overview of Amazon Q Business API operations. For information about the IAM access control permissions you need to use this API, see IAM roles for Amazon Q Businessin the Amazon Q Business User Guide. The following resources provide additional information about using the Amazon Q Business API: Setting up for Amazon Q Business Amazon Q Business CLI Reference Amazon Web Services General Reference

Tlogdb is a trivial transparent log client and server. It is meant as more a starting point to be customized than a tool to be used directly. A transparent log is a tamper-proof, append-only, immutable log of data records. That is, if the server were to violate the “append-only, immutable” properties, that tampering would be detected by the client. For more about transparent logs, see https://research.swtch.com/tlog. To create a new log (new server state): The newlog command creates a new database in file (default tlog.db) containing an empty log and a newly generated public/private key pair for the server using the given name. The newlog command prints the newly generated public key. To see it again: To add a record named name to the log: To serve the authenticated log data: The default server address is localhost:6655. The client maintains a cache database both for performance (avoiding duplicate downloads) and for storing the server's public key and the most recently seen log head. To create a new client cache: The newcache command creates a new database in file (default tlogclient.db) and stores the given public key for later use. The key should be the output of the tlogdb's server commands newlog or publickey, described above. To look up a record in the log: The default server address is again localhost:6655. The protocol between client and server is the same as used in the Go module checksum database, documented at https://golang.org/design/25530-sumdb#checksum-database. There are three endpoints: /latest serves a signed tree head; /lookup/NAME looks up the given name, and /tile/* serves log tiles. Putting the various commands together in a Unix shell:

Package gosnowflake is a pure Go Snowflake driver for the database/sql package. Clients can use the database/sql package directly. For example: Use Open to create a database handle with connection parameters: The Go Snowflake Driver supports the following connection syntaxes (or data source name formats): where all parameters must be escaped or use `Config` and `DSN` to construct a DSN string. The following example opens a database handle with the Snowflake account myaccount where the username is jsmith, password is mypassword, database is mydb, schema is testschema, and warehouse is mywh: The following connection parameters are supported: account <string>: Specifies the name of your Snowflake account, where string is the name assigned to your account by Snowflake. In the URL you received from Snowflake, your account name is the first segment in the domain (e.g. abc123 in https://abc123.snowflakecomputing.com). This parameter is optional if your account is specified after the @ character. If you are not on us-west-2 region or AWS deployment, then append the region after the account name, e.g. “<account>.<region>”. If you are not on AWS deployment, then append not only the region, but also the platform, e.g., “<account>.<region>.<platform>”. Account, region, and platform should be separated by a period (“.”), as shown above. If you are using a global url, then append connection group and "global", e.g., "account-<connection_group>.global". Account and connection group are separated by a dash ("-"), as shown above. region <string>: DEPRECATED. You may specify a region, such as “eu-central-1”, with this parameter. However, since this parameter is deprecated, it is best to specify the region as part of the account parameter. For details, see the description of the account parameter. database: Specifies the database to use by default in the client session (can be changed after login). schema: Specifies the database schema to use by default in the client session (can be changed after login). warehouse: Specifies the virtual warehouse to use by default for queries, loading, etc. in the client session (can be changed after login). role: Specifies the role to use by default for accessing Snowflake objects in the client session (can be changed after login). passcode: Specifies the passcode provided by Duo when using MFA for login. passcodeInPassword: false by default. Set to true if the MFA passcode is embedded in the login password. Appends the MFA passcode to the end of the password. loginTimeout: Specifies the timeout, in seconds, for login. The default is 60 seconds. The login request gives up after the timeout length if the HTTP response is success. authenticator: Specifies the authenticator to use for authenticating user credentials: To use the internal Snowflake authenticator, specify snowflake (Default). To authenticate through Okta, specify https://<okta_account_name>.okta.com (URL prefix for Okta). To authenticate using your IDP via a browser, specify externalbrowser. To authenticate via OAuth, specify oauth and provide an OAuth Access Token (see the token parameter below). application: Identifies your application to Snowflake Support. insecureMode: false by default. Set to true to bypass the Online Certificate Status Protocol (OCSP) certificate revocation check. IMPORTANT: Change the default value for testing or emergency situations only. token: a token that can be used to authenticate. Should be used in conjunction with the "oauth" authenticator. client_session_keep_alive: Set to true have a heartbeat in the background every hour to keep the connection alive such that the connection session will never expire. Care should be taken in using this option as it opens up the access forever as long as the process is alive. ocspFailOpen: true by default. Set to false to make OCSP check fail closed mode. validateDefaultParameters: true by default. Set to false to disable checks on existence and privileges check for Database, Schema, Warehouse and Role when setting up the connection All other parameters are taken as session parameters. For example, TIMESTAMP_OUTPUT_FORMAT session parameter can be set by adding: The Go Snowflake Driver honors the environment variables HTTP_PROXY, HTTPS_PROXY and NO_PROXY for the forward proxy setting. NO_PROXY specifies which hostname endings should be allowed to bypass the proxy server, e.g. :code:`no_proxy=.amazonaws.com` means that AWS S3 access does not need to go through the proxy. NO_PROXY does not support wildcards. Each value specified should be one of the following: The end of a hostname (or a complete hostname), for example: ".amazonaws.com" or "xy12345.snowflakecomputing.com". An IP address, for example "192.196.1.15". If more than one value is specified, values should be separated by commas, for example: By default, the driver's builtin logger is NOP; no output is generated. This is intentional for those applications that use the same set of logger parameters not to conflict with glog, which is incorporated in the driver logging framework. In order to enable debug logging for the driver, add a build tag sfdebug to the go tool command lines, for example: For tests, run the test command with the tag along with glog parameters. For example, the following command will generate all acitivty logs in the standard error. Likewise, if you build your application with the tag, you may specify the same set of glog parameters. To get the logs for a specific module, use the -vmodule option. For example, to retrieve the driver.go and connection.go module logs: Note: If your request retrieves no logs, call db.Close() or glog.flush() to flush the glog buffer. Note: The logger may be changed in the future for better logging. Currently if the applications use the same parameters as glog, you cannot collect both application and driver logs at the same time. From 0.5.0, a signal handling responsibility has moved to the applications. If you want to cancel a query/command by Ctrl+C, add a os.Interrupt trap in context to execute methods that can take the context parameter, e.g., QueryContext, ExecContext. See cmd/selectmany.go for the full example. Queries return SQL column type information in the ColumnType type. The DatabaseTypeName method returns the following strings representing Snowflake data types: Go's database/sql package limits Go's data types to the following for binding and fetching: Fetching data isn't an issue since the database data type is provided along with the data so the Go Snowflake Driver can translate Snowflake data types to Go native data types. When the client binds data to send to the server, however, the driver cannot determine the date/timestamp data types to associate with binding parameters. For example: To resolve this issue, a binding parameter flag is introduced that associates any subsequent time.Time type to the DATE, TIME, TIMESTAMP_LTZ, TIMESTAMP_NTZ or BINARY data type. The above example could be rewritten as follows: The driver fetches TIMESTAMP_TZ (timestamp with time zone) data using the offset-based Location types, which represent a collection of time offsets in use in a geographical area, such as CET (Central European Time) or UTC (Coordinated Universal Time). The offset-based Location data is generated and cached when a Go Snowflake Driver application starts, and if the given offset is not in the cache, it is generated dynamically. Currently, Snowflake doesn't support the name-based Location types, e.g., America/Los_Angeles. For more information about Location types, see the Go documentation for https://golang.org/pkg/time/#Location. Internally, this feature leverages the []byte data type. As a result, BINARY data cannot be bound without the binding parameter flag. In the following example, sf is an alias for the gosnowflake package: The driver directly downloads a result set from the cloud storage if the size is large. It is required to shift workloads from the Snowflake database to the clients for scale. The download takes place by goroutine named "Chunk Downloader" asynchronously so that the driver can fetch the next result set while the application can consume the current result set. The application may change the number of result set chunk downloader if required. Note this doesn't help reduce memory footprint by itself. Consider Custom JSON Decoder. Experimental: Custom JSON Decoder for parsing Result Set The application may have the driver use a custom JSON decoder that incrementally parses the result set as follows. This option will reduce the memory footprint to half or even quarter, but it can significantly degrade the performance depending on the environment. The test cases running on Travis Ubuntu box show five times less memory footprint while four times slower. Be cautious when using the option. (Private Preview) JWT authentication ** Not recommended for production use until GA Now JWT token is supported when compiling with a golang version of 1.10 or higher. Binary compiled with lower version of golang would return an error at runtime when users try to use JWT authentication feature. To enable this feature, one can construct DSN with fields "authenticator=SNOWFLAKE_JWT&privateKey=<your_private_key>", or using Config structure specifying: The <your_private_key> should be a base64 URL encoded PKCS8 rsa private key string. One way to encode a byte slice to URL base 64 URL format is through base64.URLEncoding.EncodeToString() function. On the server side, one can alter the public key with the SQL command: The <your_public_key> should be a base64 Standard encoded PKI public key string. One way to encode a byte slice to base 64 Standard format is through base64.StdEncoding.EncodeToString() function. To generate the valid key pair, one can do the following command on the shell script: GET and PUT operations are unsupported.

Tlogdb is a trivial transparent log client and server. It is meant as more a starting point to be customized than a tool to be used directly. A transparent log is a tamper-proof, append-only, immutable log of data records. That is, if the server were to violate the “append-only, immutable” properties, that tampering would be detected by the client. For more about transparent logs, see https://research.swtch.com/tlog. To create a new log (new server state): The newlog command creates a new database in file (default tlog.db) containing an empty log and a newly generated public/private key pair for the server using the given name. The newlog command prints the newly generated public key. To see it again: To add a record named name to the log: To serve the authenticated log data: The default server address is localhost:6655. The client maintains a cache database both for performance (avoiding duplicate downloads) and for storing the server's public key and the most recently seen log head. To create a new client cache: The newcache command creates a new database in file (default tlogclient.db) and stores the given public key for later use. The key should be the output of the tlogdb's server commands newlog or publickey, described above. To look up a record in the log: The default server address is again localhost:6655. The protocol between client and server is the same as used in the Go module checksum database, documented at https://golang.org/design/25530-sumdb#checksum-database. There are three endpoints: /latest serves a signed tree head; /lookup/NAME looks up the given name, and /tile/* serves log tiles. Putting the various commands together in a Unix shell:

Package log15 provides an opinionated, simple toolkit for best-practice logging that is both human and machine readable. It is modeled after the standard library's io and net/http packages. This package enforces you to only log key/value pairs. Keys must be strings. Values may be any type that you like. The default output format is logfmt, but you may also choose to use JSON instead if that suits you. Here's how you log: This will output a line that looks like: To get started, you'll want to import the library: Now you're ready to start logging: Because recording a human-meaningful message is common and good practice, the first argument to every logging method is the value to the *implicit* key 'msg'. Additionally, the level you choose for a message will be automatically added with the key 'lvl', and so will the current timestamp with key 't'. You may supply any additional context as a set of key/value pairs to the logging function. log15 allows you to favor terseness, ordering, and speed over safety. This is a reasonable tradeoff for logging functions. You don't need to explicitly state keys/values, log15 understands that they alternate in the variadic argument list: If you really do favor your type-safety, you may choose to pass a log.Ctx instead: Frequently, you want to add context to a logger so that you can track actions associated with it. An http request is a good example. You can easily create new loggers that have context that is automatically included with each log line: This will output a log line that includes the path context that is attached to the logger: The Handler interface defines where log lines are printed to and how they are formated. Handler is a single interface that is inspired by net/http's handler interface: Handlers can filter records, format them, or dispatch to multiple other Handlers. This package implements a number of Handlers for common logging patterns that are easily composed to create flexible, custom logging structures. Here's an example handler that prints logfmt output to Stdout: Here's an example handler that defers to two other handlers. One handler only prints records from the rpc package in logfmt to standard out. The other prints records at Error level or above in JSON formatted output to the file /var/log/service.json This package implements three Handlers that add debugging information to the context, CallerFileHandler, CallerFuncHandler and CallerStackHandler. Here's an example that adds the source file and line number of each logging call to the context. This will output a line that looks like: Here's an example that logs the call stack rather than just the call site. This will output a line that looks like: The "%+v" format instructs the handler to include the path of the source file relative to the compile time GOPATH. The github.com/go-stack/stack package documents the full list of formatting verbs and modifiers available. The Handler interface is so simple that it's also trivial to write your own. Let's create an example handler which tries to write to one handler, but if that fails it falls back to writing to another handler and includes the error that it encountered when trying to write to the primary. This might be useful when trying to log over a network socket, but if that fails you want to log those records to a file on disk. This pattern is so useful that a generic version that handles an arbitrary number of Handlers is included as part of this library called FailoverHandler. Sometimes, you want to log values that are extremely expensive to compute, but you don't want to pay the price of computing them if you haven't turned up your logging level to a high level of detail. This package provides a simple type to annotate a logging operation that you want to be evaluated lazily, just when it is about to be logged, so that it would not be evaluated if an upstream Handler filters it out. Just wrap any function which takes no arguments with the log.Lazy type. For example: If this message is not logged for any reason (like logging at the Error level), then factorRSAKey is never evaluated. The same log.Lazy mechanism can be used to attach context to a logger which you want to be evaluated when the message is logged, but not when the logger is created. For example, let's imagine a game where you have Player objects: You always want to log a player's name and whether they're alive or dead, so when you create the player object, you might do: Only now, even after a player has died, the logger will still report they are alive because the logging context is evaluated when the logger was created. By using the Lazy wrapper, we can defer the evaluation of whether the player is alive or not to each log message, so that the log records will reflect the player's current state no matter when the log message is written: If log15 detects that stdout is a terminal, it will configure the default handler for it (which is log.StdoutHandler) to use TerminalFormat. This format logs records nicely for your terminal, including color-coded output based on log level. Becasuse log15 allows you to step around the type system, there are a few ways you can specify invalid arguments to the logging functions. You could, for example, wrap something that is not a zero-argument function with log.Lazy or pass a context key that is not a string. Since logging libraries are typically the mechanism by which errors are reported, it would be onerous for the logging functions to return errors. Instead, log15 handles errors by making these guarantees to you: - Any log record containing an error will still be printed with the error explained to you as part of the log record. - Any log record containing an error will include the context key LOG15_ERROR, enabling you to easily (and if you like, automatically) detect if any of your logging calls are passing bad values. Understanding this, you might wonder why the Handler interface can return an error value in its Log method. Handlers are encouraged to return errors only if they fail to write their log records out to an external source like if the syslog daemon is not responding. This allows the construction of useful handlers which cope with those failures like the FailoverHandler. log15 is intended to be useful for library authors as a way to provide configurable logging to users of their library. Best practice for use in a library is to always disable all output for your logger by default and to provide a public Logger instance that consumers of your library can configure. Like so: Users of your library may then enable it if they like: The ability to attach context to a logger is a powerful one. Where should you do it and why? I favor embedding a Logger directly into any persistent object in my application and adding unique, tracing context keys to it. For instance, imagine I am writing a web browser: When a new tab is created, I assign a logger to it with the url of the tab as context so it can easily be traced through the logs. Now, whenever we perform any operation with the tab, we'll log with its embedded logger and it will include the tab title automatically: There's only one problem. What if the tab url changes? We could use log.Lazy to make sure the current url is always written, but that would mean that we couldn't trace a tab's full lifetime through our logs after the user navigate to a new URL. Instead, think about what values to attach to your loggers the same way you think about what to use as a key in a SQL database schema. If it's possible to use a natural key that is unique for the lifetime of the object, do so. But otherwise, log15's ext package has a handy RandId function to let you generate what you might call "surrogate keys" They're just random hex identifiers to use for tracing. Back to our Tab example, we would prefer to set up our Logger like so: Now we'll have a unique traceable identifier even across loading new urls, but we'll still be able to see the tab's current url in the log messages. For all Handler functions which can return an error, there is a version of that function which will return no error but panics on failure. They are all available on the Must object. For example: All of the following excellent projects inspired the design of this library: code.google.com/p/log4go github.com/op/go-logging github.com/technoweenie/grohl github.com/Sirupsen/logrus github.com/kr/logfmt github.com/spacemonkeygo/spacelog golang's stdlib, notably io and net/http https://xkcd.com/927/

Package swagger provides middleware to integrate Swagger UI with Fiber v3, allowing API documentation generation from code comments and JSON files.

Package log15 provides an opinionated, simple toolkit for best-practice logging that is both human and machine readable. It is modeled after the standard library's io and net/http packages. This package enforces you to only log key/value pairs. Keys must be strings. Values may be any type that you like. The default output format is logfmt, but you may also choose to use JSON instead if that suits you. Here's how you log: This will output a line that looks like: To get started, you'll want to import the library: Now you're ready to start logging: Because recording a human-meaningful message is common and good practice, the first argument to every logging method is the value to the *implicit* key 'msg'. Additionally, the level you choose for a message will be automatically added with the key 'lvl', and so will the current timestamp with key 't'. You may supply any additional context as a set of key/value pairs to the logging function. log15 allows you to favor terseness, ordering, and speed over safety. This is a reasonable tradeoff for logging functions. You don't need to explicitly state keys/values, log15 understands that they alternate in the variadic argument list: If you really do favor your type-safety, you may choose to pass a log.Ctx instead: Frequently, you want to add context to a logger so that you can track actions associated with it. An http request is a good example. You can easily create new loggers that have context that is automatically included with each log line: This will output a log line that includes the path context that is attached to the logger: The Handler interface defines where log lines are printed to and how they are formated. Handler is a single interface that is inspired by net/http's handler interface: Handlers can filter records, format them, or dispatch to multiple other Handlers. This package implements a number of Handlers for common logging patterns that are easily composed to create flexible, custom logging structures. Here's an example handler that prints logfmt output to Stdout: Here's an example handler that defers to two other handlers. One handler only prints records from the rpc package in logfmt to standard out. The other prints records at Error level or above in JSON formatted output to the file /var/log/service.json This package implements three Handlers that add debugging information to the context, CallerFileHandler, CallerFuncHandler and CallerStackHandler. Here's an example that adds the source file and line number of each logging call to the context. This will output a line that looks like: Here's an example that logs the call stack rather than just the call site. This will output a line that looks like: The "%+v" format instructs the handler to include the path of the source file relative to the compile time GOPATH. The github.com/go-stack/stack package documents the full list of formatting verbs and modifiers available. The Handler interface is so simple that it's also trivial to write your own. Let's create an example handler which tries to write to one handler, but if that fails it falls back to writing to another handler and includes the error that it encountered when trying to write to the primary. This might be useful when trying to log over a network socket, but if that fails you want to log those records to a file on disk. This pattern is so useful that a generic version that handles an arbitrary number of Handlers is included as part of this library called FailoverHandler. Sometimes, you want to log values that are extremely expensive to compute, but you don't want to pay the price of computing them if you haven't turned up your logging level to a high level of detail. This package provides a simple type to annotate a logging operation that you want to be evaluated lazily, just when it is about to be logged, so that it would not be evaluated if an upstream Handler filters it out. Just wrap any function which takes no arguments with the log.Lazy type. For example: If this message is not logged for any reason (like logging at the Error level), then factorRSAKey is never evaluated. The same log.Lazy mechanism can be used to attach context to a logger which you want to be evaluated when the message is logged, but not when the logger is created. For example, let's imagine a game where you have Player objects: You always want to log a player's name and whether they're alive or dead, so when you create the player object, you might do: Only now, even after a player has died, the logger will still report they are alive because the logging context is evaluated when the logger was created. By using the Lazy wrapper, we can defer the evaluation of whether the player is alive or not to each log message, so that the log records will reflect the player's current state no matter when the log message is written: If log15 detects that stdout is a terminal, it will configure the default handler for it (which is log.StdoutHandler) to use TerminalFormat. This format logs records nicely for your terminal, including color-coded output based on log level. Becasuse log15 allows you to step around the type system, there are a few ways you can specify invalid arguments to the logging functions. You could, for example, wrap something that is not a zero-argument function with log.Lazy or pass a context key that is not a string. Since logging libraries are typically the mechanism by which errors are reported, it would be onerous for the logging functions to return errors. Instead, log15 handles errors by making these guarantees to you: - Any log record containing an error will still be printed with the error explained to you as part of the log record. - Any log record containing an error will include the context key LOG15_ERROR, enabling you to easily (and if you like, automatically) detect if any of your logging calls are passing bad values. Understanding this, you might wonder why the Handler interface can return an error value in its Log method. Handlers are encouraged to return errors only if they fail to write their log records out to an external source like if the syslog daemon is not responding. This allows the construction of useful handlers which cope with those failures like the FailoverHandler. log15 is intended to be useful for library authors as a way to provide configurable logging to users of their library. Best practice for use in a library is to always disable all output for your logger by default and to provide a public Logger instance that consumers of your library can configure. Like so: Users of your library may then enable it if they like: The ability to attach context to a logger is a powerful one. Where should you do it and why? I favor embedding a Logger directly into any persistent object in my application and adding unique, tracing context keys to it. For instance, imagine I am writing a web browser: When a new tab is created, I assign a logger to it with the url of the tab as context so it can easily be traced through the logs. Now, whenever we perform any operation with the tab, we'll log with its embedded logger and it will include the tab title automatically: There's only one problem. What if the tab url changes? We could use log.Lazy to make sure the current url is always written, but that would mean that we couldn't trace a tab's full lifetime through our logs after the user navigate to a new URL. Instead, think about what values to attach to your loggers the same way you think about what to use as a key in a SQL database schema. If it's possible to use a natural key that is unique for the lifetime of the object, do so. But otherwise, log15's ext package has a handy RandId function to let you generate what you might call "surrogate keys" They're just random hex identifiers to use for tracing. Back to our Tab example, we would prefer to set up our Logger like so: Now we'll have a unique traceable identifier even across loading new urls, but we'll still be able to see the tab's current url in the log messages. For all Handler functions which can return an error, there is a version of that function which will return no error but panics on failure. They are all available on the Must object. For example: All of the following excellent projects inspired the design of this library: code.google.com/p/log4go github.com/op/go-logging github.com/technoweenie/grohl github.com/Sirupsen/logrus github.com/kr/logfmt github.com/spacemonkeygo/spacelog golang's stdlib, notably io and net/http https://xkcd.com/927/

protodoc generates Protocol Buffer documentation.

Package docsme allows the documentation of command line tools to be automatically updated based on their CLI help. Markdown documentation can be generated from Cobra command definitions. The generated documentation can be used to update part of README.md or can be written to a separate file.

Package gofpdf implements a PDF document generator with high level support for text, drawing and images. - UTF-8 support - Choice of measurement unit, page format and margins - Page header and footer management - Automatic page breaks, line breaks, and text justification - Inclusion of JPEG, PNG, GIF, TIFF and basic path-only SVG images - Colors, gradients and alpha channel transparency - Outline bookmarks - Internal and external links - TrueType, Type1 and encoding support - Page compression - Lines, Bézier curves, arcs, and ellipses - Rotation, scaling, skewing, translation, and mirroring - Clipping - Document protection - Layers - Templates - Barcodes - Charting facility - Import PDFs as templates gofpdf has no dependencies other than the Go standard library. All tests pass on Linux, Mac and Windows platforms. gofpdf supports UTF-8 TrueType fonts and “right-to-left” languages. Note that Chinese, Japanese, and Korean characters may not be included in many general purpose fonts. For these languages, a specialized font (for example, NotoSansSC for simplified Chinese) can be used. Also, support is provided to automatically translate UTF-8 runes to code page encodings for languages that have fewer than 256 glyphs. This repository will not be maintained, at least for some unknown duration. But it is hoped that gofpdf has a bright future in the open source world. Due to Go’s promise of compatibility, gofpdf should continue to function without modification for a longer time than would be the case with many other languages. Forks should be based on the last viable commit. Tools such as active-forks can be used to select a fork that looks promising for your needs. If a particular fork looks like it has taken the lead in attracting followers, this README will be updated to point people in that direction. The efforts of all contributors to this project have been deeply appreciated. Best wishes to all of you. To install the package on your system, run Later, to receive updates, run The following Go code generates a simple PDF file. See the functions in the fpdf_test.go file (shown as examples in this documentation) for more advanced PDF examples. If an error occurs in an Fpdf method, an internal error field is set. After this occurs, Fpdf method calls typically return without performing any operations and the error state is retained. This error management scheme facilitates PDF generation since individual method calls do not need to be examined for failure; it is generally sufficient to wait until after Output() is called. For the same reason, if an error occurs in the calling application during PDF generation, it may be desirable for the application to transfer the error to the Fpdf instance by calling the SetError() method or the SetErrorf() method. At any time during the life cycle of the Fpdf instance, the error state can be determined with a call to Ok() or Err(). The error itself can be retrieved with a call to Error(). This package is a relatively straightforward translation from the original FPDF library written in PHP (despite the caveat in the introduction to Effective Go). The API names have been retained even though the Go idiom would suggest otherwise (for example, pdf.GetX() is used rather than simply pdf.X()). The similarity of the two libraries makes the original FPDF website a good source of information. It includes a forum and FAQ. However, some internal changes have been made. Page content is built up using buffers (of type bytes.Buffer) rather than repeated string concatenation. Errors are handled as explained above rather than panicking. Output is generated through an interface of type io.Writer or io.WriteCloser. A number of the original PHP methods behave differently based on the type of the arguments that are passed to them; in these cases additional methods have been exported to provide similar functionality. Font definition files are produced in JSON rather than PHP. A side effect of running go test ./... is the production of a number of example PDFs. These can be found in the gofpdf/pdf directory after the tests complete. Please note that these examples run in the context of a test. In order run an example as a standalone application, you’ll need to examine fpdf_test.go for some helper routines, for example exampleFilename() and summary(). Example PDFs can be compared with reference copies in order to verify that they have been generated as expected. This comparison will be performed if a PDF with the same name as the example PDF is placed in the gofpdf/pdf/reference directory and if the third argument to ComparePDFFiles() in internal/example/example.go is true. (By default it is false.) The routine that summarizes an example will look for this file and, if found, will call ComparePDFFiles() to check the example PDF for equality with its reference PDF. If differences exist between the two files they will be printed to standard output and the test will fail. If the reference file is missing, the comparison is considered to succeed. In order to successfully compare two PDFs, the placement of internal resources must be consistent and the internal creation timestamps must be the same. To do this, the methods SetCatalogSort() and SetCreationDate() need to be called for both files. This is done automatically for all examples. Nothing special is required to use the standard PDF fonts (courier, helvetica, times, zapfdingbats) in your documents other than calling SetFont(). You should use AddUTF8Font() or AddUTF8FontFromBytes() to add a TrueType UTF-8 encoded font. Use RTL() and LTR() methods switch between “right-to-left” and “left-to-right” mode. In order to use a different non-UTF-8 TrueType or Type1 font, you will need to generate a font definition file and, if the font will be embedded into PDFs, a compressed version of the font file. This is done by calling the MakeFont function or using the included makefont command line utility. To create the utility, cd into the makefont subdirectory and run “go build”. This will produce a standalone executable named makefont. Select the appropriate encoding file from the font subdirectory and run the command as in the following example. In your PDF generation code, call AddFont() to load the font and, as with the standard fonts, SetFont() to begin using it. Most examples, including the package example, demonstrate this method. Good sources of free, open-source fonts include Google Fonts and DejaVu Fonts. The draw2d package is a two dimensional vector graphics library that can generate output in different forms. It uses gofpdf for its document production mode. gofpdf is a global community effort and you are invited to make it even better. If you have implemented a new feature or corrected a problem, please consider contributing your change to the project. A contribution that does not directly pertain to the core functionality of gofpdf should be placed in its own directory directly beneath the contrib directory. Here are guidelines for making submissions. Your change should - be compatible with the MIT License - be properly documented - be formatted with go fmt - include an example in fpdf_test.go if appropriate - conform to the standards of golint and go vet, that is, golint . and go vet . should not generate any warnings - not diminish test coverage Pull requests are the preferred means of accepting your changes. gofpdf is released under the MIT License. It is copyrighted by Kurt Jung and the contributors acknowledged below. This package’s code and documentation are closely derived from the FPDF library created by Olivier Plathey, and a number of font and image resources are copied directly from it. Bruno Michel has provided valuable assistance with the code. Drawing support is adapted from the FPDF geometric figures script by David Hernández Sanz. Transparency support is adapted from the FPDF transparency script by Martin Hall-May. Support for gradients and clipping is adapted from FPDF scripts by Andreas Würmser. Support for outline bookmarks is adapted from Olivier Plathey by Manuel Cornes. Layer support is adapted from Olivier Plathey. Support for transformations is adapted from the FPDF transformation script by Moritz Wagner and Andreas Würmser. PDF protection is adapted from the work of Klemen Vodopivec for the FPDF product. Lawrence Kesteloot provided code to allow an image’s extent to be determined prior to placement. Support for vertical alignment within a cell was provided by Stefan Schroeder. Ivan Daniluk generalized the font and image loading code to use the Reader interface while maintaining backward compatibility. Anthony Starks provided code for the Polygon function. Robert Lillack provided the Beziergon function and corrected some naming issues with the internal curve function. Claudio Felber provided implementations for dashed line drawing and generalized font loading. Stani Michiels provided support for multi-segment path drawing with smooth line joins, line join styles, enhanced fill modes, and has helped greatly with package presentation and tests. Templating is adapted by Marcus Downing from the FPDF_Tpl library created by Jan Slabon and Setasign. Jelmer Snoeck contributed packages that generate a variety of barcodes and help with registering images on the web. Jelmer Snoek and Guillermo Pascual augmented the basic HTML functionality with aligned text. Kent Quirk implemented backwards-compatible support for reading DPI from images that support it, and for setting DPI manually and then having it properly taken into account when calculating image size. Paulo Coutinho provided support for static embedded fonts. Dan Meyers added support for embedded JavaScript. David Fish added a generic alias-replacement function to enable, among other things, table of contents functionality. Andy Bakun identified and corrected a problem in which the internal catalogs were not sorted stably. Paul Montag added encoding and decoding functionality for templates, including images that are embedded in templates; this allows templates to be stored independently of gofpdf. Paul also added support for page boxes used in printing PDF documents. Wojciech Matusiak added supported for word spacing. Artem Korotkiy added support of UTF-8 fonts. Dave Barnes added support for imported objects and templates. Brigham Thompson added support for rounded rectangles. Joe Westcott added underline functionality and optimized image storage. Benoit KUGLER contributed support for rectangles with corners of unequal radius, modification times, and for file attachments and annotations. - Remove all legacy code page font support; use UTF-8 exclusively - Improve test coverage as reported by the coverage tool. Example demonstrates the generation of a simple PDF document. Note that since only core fonts are used (in this case Arial, a synonym for Helvetica), an empty string can be specified for the font directory in the call to New(). Note also that the example.Filename() and example.Summary() functions belong to a separate, internal package and are not part of the gofpdf library. If an error occurs at some point during the construction of the document, subsequent method calls exit immediately and the error is finally retrieved with the output call where it can be handled by the application.