Accounting API

Package hyperliquid provides a Go client library for the Hyperliquid exchange API. It includes support for both REST API and WebSocket connections, allowing users to access market data, manage orders, and handle user account operations.

Package loggregator provides clients to send data to the Loggregator v1 and v2 API. The v2 API distinguishes itself from the v1 API on three counts: 1) it uses gRPC, 2) it uses a streaming connection, and 3) it supports batching to improve performance. The code here provides a generic interface into the two APIs. Clients who prefer more fine grained control may generate their own code using the protobuf and gRPC service definitions found at: github.com/cloudfoundry/loggregator-api. Note that on account of the client using batching wherein multiple messages may be sent at once, there is no meaningful error return value available. Each of the methods below make a best-effort at message delivery. Even in the event of a failed send, the client will not block callers. In general, use IngressClient for communicating with Loggregator's v2 API. For Loggregator's v1 API, see v1/client.go.

Package feegrant provides functionality for authorizing the payment of transaction fees from one account (key) to another account (key). Effectively, this allows for a user to pay fees using the balance of an account different from their own. Example use cases would be allowing a key on a device to pay for fees using a master wallet, or a third party service allowing users to pay for transactions without ever really holding their own coins. This package provides ways for specifying fee allowances such that authorizing fee payment to another account can be done with clear and safe restrictions. A user would authorize granting fee payment to another user using MsgGrantAllowance and revoke that delegation using MsgRevokeAllowance. In both cases, Granter is the one who is authorizing fee payment and Grantee is the one who is receiving the fee payment authorization. So grantee would correspond to the one who is signing a transaction and the granter would be the address that pays the fees. The fee allowance that a grantee receives is specified by an implementation of the FeeAllowance interface. Two FeeAllowance implementations are provided in this package: BasicAllowance and PeriodicAllowance. Package feegrant is a reverse proxy. It translates gRPC into RESTful JSON APIs.

Package bigtable is an API to Google Cloud Bigtable. See https://cloud.google.com/bigtable/docs/ for general product documentation. See https://godoc.org/cloud.google.com/go for authentication, timeouts, connection pooling and similar aspects of this package. Use NewClient or NewAdminClient to create a client that can be used to access the data or admin APIs respectively. Both require credentials that have permission to access the Cloud Bigtable API. If your program is run on Google App Engine or Google Compute Engine, using the Application Default Credentials (https://developers.google.com/accounts/docs/application-default-credentials) is the simplest option. Those credentials will be used by default when NewClient or NewAdminClient are called. To use alternate credentials, pass them to NewClient or NewAdminClient using option.WithTokenSource. For instance, you can use service account credentials by visiting https://cloud.google.com/console/project/MYPROJECT/apiui/credential, creating a new OAuth "Client ID", storing the JSON key somewhere accessible, and writing Here, `google` means the golang.org/x/oauth2/google package and `option` means the google.golang.org/api/option package. The principal way to read from a Bigtable is to use the ReadRows method on *Table. A RowRange specifies a contiguous portion of a table. A Filter may be provided through RowFilter to limit or transform the data that is returned. To read a single row, use the ReadRow helper method. This API exposes two distinct forms of writing to a Bigtable: a Mutation and a ReadModifyWrite. The former expresses idempotent operations. The latter expresses non-idempotent operations and returns the new values of updated cells. These operations are performed by creating a Mutation or ReadModifyWrite (with NewMutation or NewReadModifyWrite), building up one or more operations on that, and then using the Apply or ApplyReadModifyWrite methods on a Table. For instance, to set a couple of cells in a table, To increment an encoded value in one cell, If a read or write operation encounters a transient error it will be retried until a successful response, an unretryable error or the context deadline is reached. Non-idempotent writes (where the timestamp is set to ServerTime) will not be retried. In the case of ReadRows, retried calls will not re-scan rows that have already been processed.

Package bigtable is an API to Google Cloud Bigtable. See https://cloud.google.com/bigtable/docs/ for general product documentation. See https://godoc.org/cloud.google.com/go for authentication, timeouts, connection pooling and similar aspects of this package. Use NewClient or NewAdminClient to create a client that can be used to access the data or admin APIs respectively. Both require credentials that have permission to access the Cloud Bigtable API. If your program is run on Google App Engine or Google Compute Engine, using the Application Default Credentials (https://developers.google.com/accounts/docs/application-default-credentials) is the simplest option. Those credentials will be used by default when NewClient or NewAdminClient are called. To use alternate credentials, pass them to NewClient or NewAdminClient using option.WithTokenSource. For instance, you can use service account credentials by visiting https://cloud.google.com/console/project/MYPROJECT/apiui/credential, creating a new OAuth "Client ID", storing the JSON key somewhere accessible, and writing Here, `google` means the golang.org/x/oauth2/google package and `option` means the google.golang.org/api/option package. The principal way to read from a Bigtable is to use the ReadRows method on *Table. A RowRange specifies a contiguous portion of a table. A Filter may be provided through RowFilter to limit or transform the data that is returned. To read a single row, use the ReadRow helper method. This API exposes two distinct forms of writing to a Bigtable: a Mutation and a ReadModifyWrite. The former expresses idempotent operations. The latter expresses non-idempotent operations and returns the new values of updated cells. These operations are performed by creating a Mutation or ReadModifyWrite (with NewMutation or NewReadModifyWrite), building up one or more operations on that, and then using the Apply or ApplyReadModifyWrite methods on a Table. For instance, to set a couple of cells in a table, To increment an encoded value in one cell, If a read or write operation encounters a transient error it will be retried until a successful response, an unretryable error or the context deadline is reached. Non-idempotent writes (where the timestamp is set to ServerTime) will not be retried. In the case of ReadRows, retried calls will not re-scan rows that have already been processed.

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.

Treasure Data API client. The following API functions are covered at the moment. Account API: Status API: Database/Table API: Job/Query API: Import API:

Package solaredge provides a client library for the SolarEdge Cloud-Based Monitoring Platform. The API gives access to data saved in the monitoring servers for your installed SolarEdge equipment and its performance (i.e. generated power & energy). The implementation is based on SolarEdge's official API documentation. The current version of this library implements the following sections of the API: Access to SolarEdge data is determined by the user's API Key & installation. If your situation gives you access to the Accounts List, Meters or Sensors API, feel free to get in touch to get these implemented in this library.

Package invoicing provides the API client, operations, and parameter types for AWS Invoicing. You can use Amazon Web Services Invoice Configuration APIs to programmatically create, update, delete, get, and list invoice units. You can also programmatically fetch the information of the invoice receiver. For example, business legal name, address, and invoicing contacts. You can use Amazon Web Services Invoice Configuration to receive separate Amazon Web Services invoices based your organizational needs. By using Amazon Web Services Invoice Configuration, you can configure invoice units that are groups of Amazon Web Services accounts that represent your business entities, and receive separate invoices for each business entity. You can also assign a unique member or payer account as the invoice receiver for each invoice unit. As you create new accounts within your Organizations using Amazon Web Services Invoice Configuration APIs, you can automate the creation of new invoice units and subsequently automate the addition of new accounts to your invoice units. You can use the following endpoints for Amazon Web Services Invoice Configuration:

Package observabilityadmin provides the API client, operations, and parameter types for CloudWatch Observability Admin Service. AWS Organization or account. Telemetry config config to discover and understand the state of telemetry configuration for your AWS resources from a central view in the CloudWatch console. Telemetry config simplifies the process of auditing your telemetry collection configurations across multiple resource types across your AWS Organization or account. For more information, see Auditing CloudWatch telemetry configurationsin the CloudWatch User Guide. For information on the permissions you need to use this API, see Identity and access management for Amazon CloudWatch in the CloudWatch User Guide.

Package glesys is the official Go client for interacting with the GleSYS API. Please note that only a subset of features available in the GleSYS API has been implemented. We greatly appreciate contributions. To get started you need to signup for a GleSYS Cloud account and create an API key. Signup is available at https://glesys.com/signup and API keys can be created at https://customer.glesys.com. CL12345 is the key of the Project you want to work with. To be able to monitor usage and help track down issues, we encourage you to provide a user agent string identifying your application or library. Recommended syntax is "my-library/version" or "www.example.com". The different modules of the GleSYS API are available on the client. For example: More examples provided below.

Package iam provides the client and types for making API requests to AWS Identity and Access Management. AWS Identity and Access Management (IAM) is a web service that you can use to manage users and user permissions under your AWS account. This guide provides descriptions of IAM actions that you can call programmatically. For general information about IAM, see AWS Identity and Access Management (IAM) (http://aws.amazon.com/iam/). For the user guide for IAM, see Using IAM (http://docs.aws.amazon.com/IAM/latest/UserGuide/). AWS provides SDKs that consist of libraries and sample code for various programming languages and platforms (Java, Ruby, .NET, iOS, Android, etc.). The SDKs provide a convenient way to create programmatic access to IAM and AWS. For example, the SDKs take care of tasks such as cryptographically signing requests (see below), managing errors, and retrying requests automatically. For information about the AWS SDKs, including how to download and install them, see the Tools for Amazon Web Services (http://aws.amazon.com/tools/) page. We recommend that you use the AWS SDKs to make programmatic API calls to IAM. However, you can also use the IAM Query API to make direct calls to the IAM web service. To learn more about the IAM Query API, see Making Query Requests (http://docs.aws.amazon.com/IAM/latest/UserGuide/IAM_UsingQueryAPI.html) in the Using IAM guide. IAM supports GET and POST requests for all actions. That is, the API does not require you to use GET for some actions and POST for others. However, GET requests are subject to the limitation size of a URL. Therefore, for operations that require larger sizes, use a POST request. Requests must be signed using an access key ID and a secret access key. We strongly recommend that you do not use your AWS account access key ID and secret access key for everyday work with IAM. You can use the access key ID and secret access key for an IAM user or you can use the AWS Security Token Service to generate temporary security credentials and use those to sign requests. To sign requests, we recommend that you use Signature Version 4 (http://docs.aws.amazon.com/general/latest/gr/signature-version-4.html). If you have an existing application that uses Signature Version 2, you do not have to update it to use Signature Version 4. However, some operations now require Signature Version 4. The documentation for operations that require version 4 indicate this requirement. For more information, see the following: AWS Security Credentials (http://docs.aws.amazon.com/general/latest/gr/aws-security-credentials.html). This topic provides general information about the types of credentials used for accessing AWS. IAM Best Practices (http://docs.aws.amazon.com/IAM/latest/UserGuide/IAMBestPractices.html). This topic presents a list of suggestions for using the IAM service to help secure your AWS resources. Signing AWS API Requests (http://docs.aws.amazon.com/general/latest/gr/signing_aws_api_requests.html). This set of topics walk you through the process of signing a request using an access key ID and secret access key. See https://docs.aws.amazon.com/goto/WebAPI/iam-2010-05-08 for more information on this service. See iam package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/iam/ To AWS Identity and Access Management with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently. See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/ See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config See the AWS Identity and Access Management client IAM for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/iam/#New

Package resourcegroupstaggingapi provides the client and types for making API requests to AWS Resource Groups Tagging API. This guide describes the API operations for the resource groups tagging. A tag is a label that you assign to an AWS resource. A tag consists of a key and a value, both of which you define. For example, if you have two Amazon EC2 instances, you might assign both a tag key of "Stack." But the value of "Stack" might be "Testing" for one and "Production" for the other. Tagging can help you organize your resources and enables you to simplify resource management, access management and cost allocation. For more information about tagging, see Working with Tag Editor (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/tag-editor.html) and Working with Resource Groups (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/resource-groups.html). For more information about permissions you need to use the resource groups tagging APIs, see Obtaining Permissions for Resource Groups (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/obtaining-permissions-for-resource-groups.html) and Obtaining Permissions for Tagging (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/obtaining-permissions-for-tagging.html). You can use the resource groups tagging APIs to complete the following tasks: Tag and untag supported resources located in the specified region for the AWS account Use tag-based filters to search for resources located in the specified region for the AWS account List all existing tag keys in the specified region for the AWS account List all existing values for the specified key in the specified region for the AWS account Not all resources can have tags. For a lists of resources that you can tag, see Supported Resources (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/supported-resources.html) in the AWS Resource Groups and Tag Editor User Guide. To make full use of the resource groups tagging APIs, you might need additional IAM permissions, including permission to access the resources of individual services as well as permission to view and apply tags to those resources. For more information, see Obtaining Permissions for Tagging (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/obtaining-permissions-for-tagging.html) in the AWS Resource Groups and Tag Editor User Guide. See https://docs.aws.amazon.com/goto/WebAPI/resourcegroupstaggingapi-2017-01-26 for more information on this service. See resourcegroupstaggingapi package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/resourcegroupstaggingapi/ To AWS Resource Groups Tagging API with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently. See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/ See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config See the AWS Resource Groups Tagging API client ResourceGroupsTaggingAPI for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/resourcegroupstaggingapi/#New

Package resourcegroupstaggingapi provides the client and types for making API requests to AWS Resource Groups Tagging API. This guide describes the API operations for the resource groups tagging. A tag is a label that you assign to an AWS resource. A tag consists of a key and a value, both of which you define. For example, if you have two Amazon EC2 instances, you might assign both a tag key of "Stack." But the value of "Stack" might be "Testing" for one and "Production" for the other. Tagging can help you organize your resources and enables you to simplify resource management, access management and cost allocation. For more information about tagging, see Working with Tag Editor (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/tag-editor.html) and Working with Resource Groups (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/resource-groups.html). For more information about permissions you need to use the resource groups tagging APIs, see Obtaining Permissions for Resource Groups (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/obtaining-permissions-for-resource-groups.html) and Obtaining Permissions for Tagging (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/obtaining-permissions-for-tagging.html). You can use the resource groups tagging APIs to complete the following tasks: Tag and untag supported resources located in the specified region for the AWS account Use tag-based filters to search for resources located in the specified region for the AWS account List all existing tag keys in the specified region for the AWS account List all existing values for the specified key in the specified region for the AWS account Not all resources can have tags. For a lists of resources that you can tag, see Supported Resources (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/supported-resources.html) in the AWS Resource Groups and Tag Editor User Guide. To make full use of the resource groups tagging APIs, you might need additional IAM permissions, including permission to access the resources of individual services as well as permission to view and apply tags to those resources. For more information, see Obtaining Permissions for Tagging (http://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/obtaining-permissions-for-tagging.html) in the AWS Resource Groups and Tag Editor User Guide. See https://docs.aws.amazon.com/goto/WebAPI/resourcegroupstaggingapi-2017-01-26 for more information on this service. See resourcegroupstaggingapi package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/resourcegroupstaggingapi/ To AWS Resource Groups Tagging API with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently. See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/ See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config See the AWS Resource Groups Tagging API client ResourceGroupsTaggingAPI for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/resourcegroupstaggingapi/#New

Package openaiorgs provides a Go client for interacting with the OpenAI Organizations API. The client handles authentication, rate limiting, and provides type-safe methods for all API operations. It supports managing organization resources such as users, projects, API keys, and service accounts. Basic Usage: The package is organized into several main components: Core Client: Authentication & Users: Project Management: Usage & Audit: Each component provides a set of methods for interacting with the corresponding API endpoints. All operations use strong typing and follow consistent patterns for error handling and response processing. For detailed examples and documentation of specific types and methods, see the relevant type and function documentation. Package openaiorgs implements a client for managing OpenAI organization resources. It provides methods for managing projects, users, API keys, and other organizational aspects of OpenAI accounts.

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 cfd1 provides a client and database/sql driver for interacting with Cloudflare's D1 database service. D1 is a serverless SQL database from Cloudflare that implements the SQLite query engine. This package offers a lightweight wrapper around the D1 API as well as a database/sql compatible driver. To use the direct API implementation, create a new client using NewClient with your Cloudflare account ID and API token: The returned client can be used create, manage, and query D1 databases and provides a 1:1 wrapper around the D1 API. To perform operations on a single database, a Handle can be obtained from the client using a database name or UUID and subsequently queried: The D1 API supports multiple semicolon-separated statements in a single Handle.Query operation, which are executed as a batch. A query can be up to 100KB and contain up to 100 placeholders. To use the database/sql driver, import this library with the blank identifier. Its init function registers the driver as "cfd1": You can then open a connection to a D1 database using a DSN string in URI format: All three components of the DSN are required. Note that this driver does not support transactions through db.Begin(), as connections to D1 over the REST API are not persistent -- every query creates a new HTTP round-trip to the API and connection. Multiple semicolon-separated statements in a single query are supported, however, and can include transactions. This is an unofficial implementation of the Cloudflare D1 API, and its author is not affiliated with Cloudflare. For the official Cloudflare API Go client, see: For more information about Cloudflare D1, see the Cloudflare D1 documentation.

Package api is the root of the packages used to access Google Cloud Services. See https://godoc.org/google.golang.org/api for a full list of sub-packages. Within api there exist numerous clients which connect to Google APIs, and various utility packages. All clients in sub-packages are configurable via client options. These options are described here: https://godoc.org/google.golang.org/api/option. All the clients in sub-packages support authentication via Google Application Default Credentials (see https://cloud.google.com/docs/authentication/production), or by providing a JSON key file for a Service Account. See the authentication examples in https://godoc.org/google.golang.org/api/transport for more details. Due to the auto-generated nature of this collection of libraries, complete APIs or specific versions can appear or go away without notice. As a result, you should always locally vendor any API(s) that your code relies upon. Google APIs follow semver as specified by https://cloud.google.com/apis/design/versioning. The code generator and the code it produces - the libraries in the google.golang.org/api/... subpackages - are beta. Note that versioning and stability is strictly not communicated through Go modules. Go modules are used only for dependency management. Many parameters are specified using ints. However, underlying APIs might operate on a finer granularity, expecting int64, int32, uint64, or uint32, all of whom have different maximum values. Subsequently, specifying an int parameter in one of these clients may result in an error from the API because the value is too large. To see the exact type of int that the API expects, you can inspect the API's discovery doc. A global catalogue pointing to the discovery doc of APIs can be found at https://www.googleapis.com/discovery/v1/apis. This field can be found on all Request/Response structs in the generated clients. All of these types have the JSON `omitempty` field tag present on their fields. This means if a type is set to its default value it will not be marshalled. Sometimes you may actually want to send a default value, for instance sending an int of `0`. In this case you can override the `omitempty` feature by adding the field name to the `ForceSendFields` slice. See docs on any struct for more details. This may be used to include empty fields in Patch requests. This field can be found on all Request/Response structs in the generated clients. It can be be used to send JSON null values for the listed fields. By default, fields with empty values are omitted from API requests because of the presence of the `omitempty` field tag on all fields. However, any field with an empty value appearing in NullFields will be sent to the server as null. It is an error if a field in this list has a non-empty value. This may be used to include null fields in Patch requests. An error returned by a client's Do method may be cast to a *googleapi.Error or unwrapped to an *apierror.APIError. The https://pkg.go.dev/google.golang.org/api/googleapi#Error type is useful for getting the HTTP status code: The https://pkg.go.dev/github.com/googleapis/gax-go/v2/apierror#APIError type is useful for inspecting structured details of the underlying API response, such as the reason for the error and the error domain, which is typically the registered service name of the tool or product that generated the error: If an API call returns an Operation, that means it could take some time to complete the work initiated by the API call. Applications that are interested in the end result of the operation they initiated should wait until the Operation.Done field indicates it is finished. To do this, use the service's Operation client, and a loop, like so:

Package marketplacereporting provides the API client, operations, and parameter types for AWS Marketplace Reporting Service. The Amazon Web Services Marketplace GetBuyerDashboard API enables you to get a procurement insights dashboard programmatically. The API gets the agreement and cost analysis dashboards with data for all of the Amazon Web Services accounts in your Amazon Web Services Organization. To use the Amazon Web Services Marketplace Reporting API, you must complete the following prerequisites: Enable all features for your organization. For more information, see Enabling all features for an organization with Organizations, in the Organizations User Guide. Call the service as the Organizations management account or an account registered as a delegated administrator for the procurement insights service. For more information about management accounts, see Tutorial: Creating and configuring an organizationand Managing the management account with Organizations, both in the For more information about delegated administrators, see Using delegated administrators, in the Amazon Web Access can be shared only by registering the desired linked account as a

Package bip32 provides an API for bitcoin hierarchical deterministic extended keys (BIP0032). The ability to implement hierarchical deterministic wallets depends on the ability to create and derive hierarchical deterministic extended keys. At a high level, this package provides support for those hierarchical deterministic extended keys specified as the ExtendedKey interface, which is implemented by PrivateKey and PublicKey.Therefore, each extended key can either be a private or public extended key which itself is capable of deriving a child extended key. Whether an extended key is a private or public extended key can be type assertion against the PrivateKey type. In order to create and sign transactions, or provide others with addresses to send funds to, the underlying key and address material must be accessible. This package provides the ECPubKey, ECPrivKey, and AddressPubKeyHash functions for this purpose. As previously mentioned, the extended keys are hierarchical meaning they are used to form a tree. The root of that tree is called the master node and this package provides the NewMasterKey function to create it from a cryptographically random seed. The GenerateMasterKey function is provided as a convenient way to create a random extended private key for use where the seed would be read from the provided rand entropy reader. Once you have created a tree root (or have deserialized an extended key as discussed later), the child extended keys can be derived by using the Child function. The Child function supports deriving both normal (non-hardened) and hardened child extended keys. In order to derive a hardened extended key, use the mapping function HardenIndex(i) to get the corresponding index for generating harden child to the Child function. This provides the ability to cascade the keys into a tree and hence generate the hierarchical deterministic key chains. A private extended key can be used to derive both hardened and non-hardened (normal) child private and public extended keys. A public extended key can only be used to derive non-hardened child public extended keys. As enumerated in BIP0032 "knowledge of the extended public key plus any non-hardened private key descending from it is equivalent to knowing the extended private key (and thus every private and public key descending from it). This means that extended public keys must be treated more carefully than regular public keys. It is also the reason for the existence of hardened keys, and why they are used for the account level in the tree. This way, a leak of an account-specific (or below) private key never risks compromising the master or other accounts." A private extended key can be converted to a new instance of the corresponding public extended key with the Neuter function. The original extended key is not modified. A public extended key is still capable of deriving non-hardened child public extended keys. Extended keys are serialized and deserialized with the String and ParsePrivateKey/ParsePublicKey functions. The serialized key is a Base58-encoded string which looks like the following: Extended keys are much like normal Bitcoin addresses in that they have version bytes which tie them to a specific network. The SetNet and IsForNet functions are provided to set and determinine which network an extended key is associated with. This example demonstrates the audits use case in BIP0032. This example demonstrates the default hierarchical deterministic wallet layout as described in BIP0032.

Package hdkeychain provides an API for Decred hierarchical deterministic extended keys (based on BIP0032). The ability to implement hierarchical deterministic wallets depends on the ability to create and derive hierarchical deterministic extended keys. At a high level, this package provides support for those hierarchical deterministic extended keys by providing an ExtendedKey type and supporting functions. Each extended key can either be a private or public extended key which itself is capable of deriving a child extended key. Whether an extended key is a private or public extended key can be determined with the IsPrivate function. In order to create and sign transactions, or provide others with addresses to send funds to, the underlying key and address material must be accessible. This package provides the ECPubKey and ECPrivKey functions for this purpose. The caller may then create the desired address types. As previously mentioned, the extended keys are hierarchical meaning they are used to form a tree. The root of that tree is called the master node and this package provides the NewMaster function to create it from a cryptographically random seed. The GenerateSeed function is provided as a convenient way to create a random seed for use with the NewMaster function. Once you have created a tree root (or have deserialized an extended key as discussed later), the child extended keys can be derived by using the Child function. The Child function supports deriving both normal (non-hardened) and hardened child extended keys. In order to derive a hardened extended key, use the HardenedKeyStart constant + the hardened key number as the index to the Child function. This provides the ability to cascade the keys into a tree and hence generate the hierarchical deterministic key chains. A private extended key can be used to derive both hardened and non-hardened (normal) child private and public extended keys. A public extended key can only be used to derive non-hardened child public extended keys. As enumerated in BIP0032 "knowledge of the extended public key plus any non-hardened private key descending from it is equivalent to knowing the extended private key (and thus every private and public key descending from it). This means that extended public keys must be treated more carefully than regular public keys. It is also the reason for the existence of hardened keys, and why they are used for the account level in the tree. This way, a leak of an account-specific (or below) private key never risks compromising the master or other accounts." A private extended key can be converted to a new instance of the corresponding public extended key with the Neuter function. The original extended key is not modified. A public extended key is still capable of deriving non-hardened child public extended keys. Extended keys are serialized and deserialized with the String and NewKeyFromString functions. The serialized key is a Base58-encoded string which looks like the following: Extended keys are much like normal Decred addresses in that they have version bytes which tie them to a specific network. The network that an extended key is associated with is specified when creating and decoding the key. In the case of decoding, an error will be returned if a given encoded extended key is not for the specified network. This example demonstrates the audits use case in BIP0032. This example demonstrates the default hierarchical deterministic wallet layout as described in BIP0032. This example demonstrates how to generate a cryptographically random seed then use it to create a new master node (extended key).