## Server Machine and Server Program { #server-machine-and-server-program }

There's a small detail about names to keep in mind. 💡

The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).

			recordDelimiter: "\n",
			fieldDelimiter:  ",",
			sendErr:         nil,
			header:          true,
			wantColumns:     []string{"header1", "header2", "header3"},
			wantFields:      "ok1,ok2,ok3\n" + `"a ""word""",b` + "\n",
			wantErr:         io.EOF,
		},
		{
			// This works since LazyQuotes is true:
			file:            "invalid-baddoubleq.csv",
			recordDelimiter: "\n",
			fieldDelimiter:  ",",

	return unicode.IsSpace(r)
}

// Title treats s as UTF-8-encoded bytes and returns a copy with all Unicode letters that begin
// words mapped to their title case.
//
// Deprecated: The rule Title uses for word boundaries does not handle Unicode
// punctuation properly. Use golang.org/x/text/cases instead.
func Title(s []byte) []byte {
	// Use a closure here to remember state.

3`,
		},
		{
			name:  "Select reserved word column",
			query: `select "CAST"  from s3object`,
			wantResult: `true
false`,
		},
		{
			name:  "Select reserved word column with table alias",
			query: `select S3Object."CAST" from s3object`,
			wantResult: `true
false`,
		},
		{
			name:  "Select reserved word column with unused table alias",

#       options in "$@", and eventually passing that to Java.
#
#       Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
#       and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
#       see the in-line comments for details.
#
#       There are tweaks for specific operating systems such as AIX, CygWin,
#       Darwin, MinGW, and NonStop.
#

			//
			// S3 uses B-encoding (Base64) for non-ASCII-heavy metadata and Q-encoding
			// (quoted-printable) for mostly ASCII strings. Long strings are split at word
			// boundaries to fit RFC 2047’s 75-character limit, ensuring HTTP parser
			// compatibility.
			//
			// However, this splitting increases header size and can introduce errors, unlike Go’s

The generated code still has some **duplicated information**.

We already know that this method is related to the **items** because that word is in the `ItemsService` (taken from the tag), but we still have the tag name prefixed in the method name too. 😕

We will probably still want to keep it for OpenAPI in general, as that will ensure that the operation IDs are **unique**.

        // Test convert with long text
        converter.init();
        StringBuilder sb = new StringBuilder();
        for (int i = 0; i < 1000; i++) {
            sb.append("word").append(i).append(" ");
        }
        String text = sb.toString();
        String field = "content";

        List<String> readings = converter.convert(text, field, "en");

        assertNotNull(readings);

-bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tool...

labels.facet_contentLength_5m=5 MB -  
labels.facet_filetype_title=Dateityp
labels.facet_filetype_html=HTML
labels.facet_filetype_word=MS Word
labels.facet_filetype_excel=MS Excel
labels.facet_filetype_powerpoint=MS PowerPoint
labels.facet_filetype_odt=ODF Word
labels.facet_filetype_ods=ODF-Tabelle
labels.facet_filetype_odp=ODF-Präsentation
labels.facet_filetype_pdf=PDF
labels.facet_filetype_fb2=FictionBook