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Webfont Licensing 101

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Choosing a type palette goes beyond considering aesthetics, legibility, browser support, and performance. For fonts to truly be appropriate for your project, they must also be technically and financially sound solutions. No one wants to be surprised by the outrageous cost of a font package all designs have been delivered.

If you’re working client-side and are trying to evaluate whether a palette will break your bank, here are some nuances that will help ensure both your chosen fonts and license fit your project needs.

Your webfont budget (even if that’s zero) is like any other business requirement—reasonable and justified, so long as it’s made known early in the project (ideally before any formal graphic design begins). Consider how costs may run across years, and whether the fonts will be used for any subdomains. For some licensing, using webfonts across a lot of small sites can be more expensive than the sum of their usage on a single domain.

No matter how your fonts will be loaded onto your site, most often, your cost will be based on pageviews. A pageview is a request to load a single page on your site—this includes hitting refresh, as well as navigating away then returning to the original page. Each foundry and webfont service has its own formula for translating pageviews to a licensing fee, but pageviews—and therefore costs—can rack up quickly. It’s important to understand your current and future traffic, and how they may drive the cost of your webfonts.

There are currently two main methods to serve fonts on your site: host the files yourself, or host them through a webfont service. Neither option is outright “better” than the other—each carries its own pros and cons.

When you self-host your webfonts, you purchase a license to use the font files, most often from a foundry or from sites that represent multiple foundries. In return, you receive installable font files to embed in your CSS . Alternatively, many webfont providers offer to host your fonts for you. Instead of receiving installable font files, you’ll receive a specific snippet of code to add to your site. This snippet of code will load an additional JavaScript file and render font data from the provider’s server.

A user desiring reduced integration times may pass a C function pointer through scipy.LowLevelCallable to quad , dblquad , Buy Cheap Excellent Big Sale For Sale Womens Antillaigan Party Dress Derhy GJAWJOI
or nquad and it will be integrated and return a result in Python. The performance increase here arises from two factors. The primary improvement is faster function evaluation, which is provided by compilation of the function itself. Additionally we have a speedup provided by the removal of function calls between C and Python in quad . This method may provide a speed improvements of ~2x for trivial functions such as sine but can produce a much more noticeable improvements (10x+) for more complex functions. This feature then, is geared towards a user with numerically intensive integrations willing to write a little C to reduce computation time significantly.

The approach can be used, for example, via ctypes in a few simple steps:

1.) Write an integrand function in C with the function signature double f(int n, double *x, void *user_data) , where x is an array containing the point the function f is evaluated at, and user_data to arbitrary additional data you want to provide.

2.) Now compile this file to a shared/dynamic library (a quick search will help with this as it is OS-dependent). The user must link any math libraries, etc. used. On linux this looks like:

The output library will be referred to as testlib.so , but it may have a different file extension. A library has now been created that can be loaded into Python with ctypes .

3.) Load shared library into Python using ctypes and set restypes and argtypes - this allows Scipy to interpret the function correctly:

The last void *user_data in the function is optional and can be omitted (both in the C function and ctypes argtypes) if not needed. Note that the coordinates are passed in as an array of doubles rather than a separate argument.

4.) Now integrate the library function as normally, here using nquad :

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Amazon Simple Queue Service
Developer Guide

Amazon SQS lets you include structured metadata (such as timestamps, geospatial data, signatures, and identifiers) with messages using message attributes . Each message can have up to 10 attributes. Message attributes are optional and separate from the message body (however, they are sent alongside it). Your consumer can use message attributes to handle a message in a particular way without having to process the message body first. For information about sending messages with attributes using the AWS Management Console or the AWS SDK for Java, see Sending a Message with Attributes to an Amazon SQS Queue .

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Message Attribute Components

Important

All components of a message attribute are included in the 256 KB message size restriction.

The , , , and the message body must not be empty or null.

Each message attribute consists of the following components:

Name – The message attribute name can contain the following characters: A - Z , a - z , 0 - 9 , underscore ( _ ), hyphen ( - ), and period ( . ). The following restrictions apply:

Can be up to 256 characters long

Can't start with or (or any casing variations)

Is case-sensitive

Must be unique among all attribute names for the message

Must not start or end with a period

Must not have periods in a sequence

Type – The message attribute data type. Supported types include String , Number , and Binary . You can also add custom information for any data type. The data type has the same restrictions as the message body (for more information, see SendMessage in the Amazon Simple Queue Service API Reference ). In addition, the following restrictions apply:

Value – The message attribute value. For String data types, the attribute values has the same restrictions as the message body.

Message attribute data types instruct Amazon SQS how to handle the corresponding message attribute values. For example, if the type is Number , Amazon SQS validates numerical values.

Amazon SQS supports the logical data types String , Number , and Binary with optional custom data type labels with the format .custom-data-type

String String attributes can store Unicode text with UTF-8 binary encoding. For more information, see ASCII Printable Characters .

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