standard | Documentation of the Open Contracting Data Standard

 by   open-contracting Python Version: 1__1__5 License: Non-SPDX

kandi X-RAY | standard Summary

kandi X-RAY | standard Summary

standard is a Python library. standard has no bugs, it has no vulnerabilities, it has build file available and it has low support. However standard has a Non-SPDX License. You can download it from GitHub.

Visit to read the standard's documentation. Visit the OCDS Standard Development Handbook for developer documentation about the standard.

            kandi-support Support

              standard has a low active ecosystem.
              It has 122 star(s) with 48 fork(s). There are 31 watchers for this library.
              It had no major release in the last 6 months.
              There are 121 open issues and 824 have been closed. On average issues are closed in 969 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of standard is 1__1__5

            kandi-Quality Quality

              standard has no bugs reported.

            kandi-Security Security

              standard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              standard has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              standard releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed standard and discovered the below as its top functions. This is intended to give you an instant insight into standard implemented functionality, and help decide if they suit your requirements.
            • Update current currency
            • Dump fieldnames to a CSV file
            • Dump data to a file
            • Load a JSON file
            • Commit the release schema
            • Get metaschema
            • Get dereferenced release schema
            • Generate a schema for a versioned release
            • Return a list of missing PRs missing PRs
            • Send a GET request
            • Update the media type
            • Load a CSV file
            • Add translation notes
            • Add a translation note
            • Update the language code
            • Check the data source
            • Setup the application
            Get all kandi verified functions for this library.

            standard Key Features

            No Key Features are available at this moment for standard.

            standard Examples and Code Snippets

            Standard Library
            npmdot img1Lines of Code : 13dot img1no licencesLicense : No License
            copy iconCopy
            // bad
            isNaN('1.2'); // false
            isNaN('1.2.3'); // true
            // good
            Number.isNaN('1.2.3'); // false
            Number.isNaN(Number('1.2.3')); // true
            // bad
            isFinite('2e3'); // true
            // good
            Number.isFinite('2e3'); // false
            Number.isFinite(parseInt('2e3', 10)); //  
            Standard LSTM .
            pythondot img2Lines of Code : 83dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def standard_lstm(inputs, init_h, init_c, kernel, recurrent_kernel, bias,
                              mask, time_major, go_backwards, sequence_lengths,
              """LSTM with standard kernel implementation.
              This implementati  
            Standard RNN algorithm .
            pythondot img3Lines of Code : 82dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def standard_gru(inputs, init_h, kernel, recurrent_kernel, bias, mask,
                             time_major, go_backwards, sequence_lengths,
              """GRU with standard kernel implementation.
              This implementation can be ru  
            Start a standard TensorFlow server .
            pythondot img4Lines of Code : 71dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def run_standard_tensorflow_server(session_config=None):
              """Starts a standard TensorFlow server.
              This method parses configurations from "TF_CONFIG" environment variable and
              starts a TensorFlow server. The "TF_CONFIG" is typically a json string  

            Community Discussions


            How do I make invalidate an entry and return its value from a Caffeine Cache?
            Asked 2021-Jun-16 at 00:25

            I'm trying to remove an entry from the Caffeine cache manually. I have two attempts but I suspect that there are some problems with both of them:

            This one seems like it could suffer from a race condition.



            Answered 2021-Jun-16 at 00:25

            You should use cache.asMap().remove(key) as you suspected. The other call delegates to this, but does not return the value because that is not idiomatic for a cache.

            The Cache interface is opinionated for how one should commonly use a cache, while the asMap() view is more raw to allow for advanced operations. For example, you generally wouldn't iterate over a cache (e.g. memcached doesn't allow this), but if you need to then the Map provides that support. All calls flow into the same backing structure, so there will be no inconsistency. The APIs merely try to nudge users towards best practices, but strive to not block a developer from getting their work done safely and correctly.



            My chainlink request isn't getting fulfilled?
            Asked 2021-Jun-16 at 00:09

            Can someone help me investigate why my Chainlink requests aren't getting fulfilled. They get fulfilled in my tests (see hardhat test etherscan events( But they don't get fulfilled when I make them from my react app (see react app contract's etherscan events

            Same contracts (different addresses), same function call.


            Here's the code I use to call them in my tests



            Answered 2021-Jun-16 at 00:09

            Remove your agreement vars in MinimalClone.sol, and either have the user input them as args in your init() method or hardcode them into the request like this:



            Using std::atomic with futex system call
            Asked 2021-Jun-15 at 20:48

            In C++20, we got the capability to sleep on atomic variables, waiting for their value to change. We do so by using the std::atomic::wait method.

            Unfortunately, while wait has been standardized, wait_for and wait_until are not. Meaning that we cannot sleep on an atomic variable with a timeout.

            Sleeping on an atomic variable is anyway implemented behind the scenes with WaitOnAddress on Windows and the futex system call on Linux.

            Working around the above problem (no way to sleep on an atomic variable with a timeout), I could pass the memory address of an std::atomic to WaitOnAddress on Windows and it will (kinda) work with no UB, as the function gets void* as a parameter, and it's valid to cast std::atomic to void*

            On Linux, it is unclear whether it's ok to mix std::atomic with futex. futex gets either a uint32_t* or a int32_t* (depending which manual you read), and casting std::atomic to u/int* is UB. On the other hand, the manual says

            The uaddr argument points to the futex word. On all platforms, futexes are four-byte integers that must be aligned on a four- byte boundary. The operation to perform on the futex is specified in the futex_op argument; val is a value whose meaning and purpose depends on futex_op.

            Hinting that alignas(4) std::atomic should work, and it doesn't matter which integer type is it is as long as the type has the size of 4 bytes and the alignment of 4.

            Also, I have seen many places where this trick of combining atomics and futexes is implemented, including boost and TBB.

            So what is the best way to sleep on an atomic variable with a timeout in a non UB way? Do we have to implement our own atomic class with OS primitives to achieve it correctly?

            (Solutions like mixing atomics and condition variables exist, but sub-optimal)



            Answered 2021-Jun-15 at 20:48

            You shouldn't necessarily have to implement a full custom atomic API, it should actually be safe to simply pull out a pointer to the underlying data from the atomic and pass it to the system.

            Since std::atomic does not offer some equivalent of native_handle like other synchronization primitives offer, you're going to be stuck doing some implementation-specific hacks to try to get it to interface with the native API.

            For the most part, it's reasonably safe to assume that first member of these types in implementations will be the same as the T type -- at least for integral values [1]. This is an assurance that will make it possible to extract out this value.

            ... and casting std::atomic to u/int* is UB

            This isn't actually the case.

            std::atomic is guaranteed by the standard to be Standard-Layout Type. One helpful but often esoteric properties of standard layout types is that it is safe to reinterpret_cast a T to a value or reference of the first sub-object (e.g. the first member of the std::atomic).

            As long as we can guarantee that the std::atomic contains only the u/int as a member (or at least, as its first member), then it's completely safe to extract out the type in this manner:



            How to pass additional values to MVC client from Identity Server 4 after authenticating user
            Asked 2021-Jun-15 at 19:18

            How can we pass additional data to Client application from Identity Server 4 in response after successful authentication?

            We are using Identity Server 4 as an Auth server for our application to have user authentication and SSO feature. User information is stored and is getting authenticated by an external service. IDS calls the external service for user authentication. On successful authentication, the service returns the response back to IDS with 2 parameters:

            1. Authorization code
            2. Additional information (a collection of attributes) for the user.

            IDS further generates Id token and returns response back to MVC client with standard user claims. I want to pass the additional user information(attributes) to client application to display it on page. We tried adding the attributes as claims collection through context.IssuedClaims option but still I am not getting those attributes added and accessible to User.Claims collection in MVC client app.

            Can anyone suggest an alternative way by which we can pass those custom attributes to client app. either through claims or any other mode (httpcontext.Items collection etc)



            Answered 2021-Jun-15 at 19:18

            Only some user claims provided by the IDS will be passed into the collection. You need to explicitly map those additional claims in the client application, using code like:



            Can't integrate simple normal distribution in sympy, depending on mean and deviation constants
            Asked 2021-Jun-15 at 19:02

            So... I can sympy.integrate a normal distribution with mean and standard deviation:



            Answered 2021-Jun-15 at 01:38

            Here's a close case that works:



            Apereo CAS HTML template does not seem to load
            Asked 2021-Jun-15 at 18:37

            So I initialized CAS using cas-initializr with the following command inside the cas folder:



            Answered 2021-Jun-15 at 18:37

            Starting with 6.4 RC5 (which is the version you run as of this writing and should provide this in your original post):

            The collection of thymeleaf user interface template pages are no longer found in the context root of the web application resources. Instead, they are organized and grouped into logical folders for each feature category. For example, the pages that deal with login or logout functionality can now be found inside login or logout directories. The page names themselves remain unchecked. You should always cross-check the template locations with the CAS WAR Overlay and use the tooling provided by the build to locate or fetch the templates from the CAS web application context.


            Please read the release notes and adjust your setup.

            All templates are listed here:



            Applying a threshold in a row-wise fashion, where cutoff value is relative to sd of row
            Asked 2021-Jun-15 at 16:56

            I have a matrix similar to this:



            Answered 2021-Jun-15 at 08:07

            Your code is correct, you need to transpose the result as apply always returns a transposed result (See Why apply() returns a transposed xts matrix? ).



            Accessing Aurora Postgres Materialized Views from Glue data catalog for Glue Jobs
            Asked 2021-Jun-15 at 13:51

            I have an Aurora Serverless instance which has data loaded across 3 tables (mixture of standard and jsonb data types). We currently use traditional views where some of the deeply nested elements are surfaced along with other columns for aggregations and such.

            We have two materialized views that we'd like to send to Redshift. Both the Aurora Postgres and Redshift are in Glue Catalog and while I can see Postgres views as a selectable table, the crawler does not pick up the materialized views.

            Currently exploring two options to get the data to redshift.

            1. Output to parquet and use copy to load
            2. Point the Materialized view to jdbc sink specifying redshift.

            Wanted recommendations on what might be most efficient approach if anyone has done a similar use case.


            1. In option 1, would I be able to handle incremental loads?
            2. Is bookmarking supported for JDBC (Aurora Postgres) to JDBC (Redshift) transactions even if through Glue?
            3. Is there a better way (other than the options I am considering) to move the data from Aurora Postgres Serverless (10.14) to Redshift.

            Thanks in advance for any guidance provided.



            Answered 2021-Jun-15 at 13:51

            Went with option 2. The Redshift Copy/Load process writes csv with manifest to S3 in any case so duplicating that is pointless.

            Regarding the Questions:

            1. N/A

            2. Job Bookmarking does work. There is some gotchas though - ensure Connections both to RDS and Redshift are present in Glue Pyspark job, IAM self ref rules are in place and to identify a row that is unique [I chose the primary key of underlying table as an additional column in my materialized view] to use as the bookmark.

            3. Using the primary key of core table may buy efficiencies in pruning materialized views during maintenance cycles. Just retrieve latest bookmark from cli using aws glue get-job-bookmark --job-name yourjobname and then just that in the where clause of the mv as where id >= idinbookmark

              conn = glueContext.extract_jdbc_conf("yourGlueCatalogdBConnection") connection_options_source = { "url": conn['url'] + "/yourdB", "dbtable": "table in dB", "user": conn['user'], "password": conn['password'], "jobBookmarkKeys":["unique identifier from source table"], "jobBookmarkKeysSortOrder":"asc"}

            datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options=connection_options_source, transformation_ctx="datasource0")

            That's all, folks



            Cannot bind PersistentVolumeClaim to PersistentVolume in namespace
            Asked 2021-Jun-15 at 09:52

            I am trying to install jenkins on my kubernetes cluster under jenkins namespace. When I deploy my pv and pvc, the pv remains available and does not bind to my pvc.

            Here is my yamls:



            Answered 2021-Jun-15 at 09:52

            Based on the storage class spec, I think the problem is the volumeBindingMode being set as WaitForFirstConsumer which means the PV will remain unbound until there is a Pod to consume it.

            You can change it Immediate to allow the PV to be bound immediately without requiring to create a Pod.

            You can read about the different volume binding modes in detail in the docs.



            Why do I get compilation error when trying to use record type in C#?
            Asked 2021-Jun-15 at 09:38

            EDIT: Thank you everyone! I have never upgraded to a newer version of .NET and language version before. Thus didn't know about .csproj configuration. Even though I did a research before posting a question I was not able to find a solution myself. So, I just leave these two links for further reference, perhaps this might help someone as well.



            I have upgraded to .NET 5.0.301

            And finally got around to try record type in C# 9.0

            I wrote a simple code but got an error during compilation.

            I use Visual Studio Code as an editor.

            VS Code version 1.57.0

            C# extension version 1.23.12

            Here is my settings.json:



            Answered 2021-Jun-15 at 02:23

            Check your target framework and language version in your .csproj file. You should find something like:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install standard

            You can download it from GitHub.
            You can use standard like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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