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The query CREATE TABLE word_counts AS SELECT word, count(1) AS count creates a table called word_counts with two columns: word and count. This query draws its input from the inner query (SELECT explode (split (line, '\s')) AS word FROM docs) temp ". This query serves to split the input words into different rows of a temporary table aliased as temp.
There are three types of lists: unordered lists, ordered lists, and description lists (a.k.a. definition lists or association lists).In the following sections, various list types are used for different examples, but other list types will generally give corresponding results.
One example: when justification is used in narrow columns, extremely large spaces may appear between words on lines with only two or three words. Another example: when the spaces between words line up approximately above one another in several loose lines, a distracting river of white space may appear. [ 4 ]
First, a lexer turns the linear sequence of characters into a linear sequence of tokens; this is known as "lexical analysis" or "lexing". [3] Second, the parser turns the linear sequence of tokens into a hierarchical syntax tree; this is known as "parsing" narrowly speaking. This ensures that the line of tokens conform to the formal grammars of ...
Python has two ways to annotate Python code. One is by using comments to indicate what some part of the code does. Single-line comments begin with the hash character (#) and continue until the end of the line.
To create columns in an article one may use {} and {}. Note that this is not supported by Internet Explorer version 9 and below or Opera version 11 and below — see {{ Div col }} for details. To illustrate the use of these templates, this example uses the {{ lorem }} template to generate Lorem ipsum placeholder text.
It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]
In many cases breaking up a word with a space would be inappropriate. Soft hyphens also creates word-break opportunities, but will add a hyphen rather than a space. In other words, a soft hyphen is a hyphen inserted into a word not otherwise hyphenated, to be displayed or typeset only if it falls at the end of a line of text.