"";border-color:transparent;border-style:solid}.bs-popover-auto[x-placement^=top],.bs-popover-top{margin-bottom:.5rem}.bs-popover-auto[x-placement^=top]>.arrow,.bs-popover-top>.arrow{bottom:calc(-.5rem - 1px)}.bs-popover-auto[x-placement^=top]>.arrow::before,.bs-popover-top>.arrow::before{bottom:0;border-width:.5rem .5rem 0;border-top-color:rgba(0,0,0,.25)}.bs-popover-auto[x-placement^=top]>.arrow::after,.bs-popover-top>.arrow::after{bottom:1px;border-width:.5rem .5rem 0;border-top-color:#fff}.b...

    font-size: 8pt;
    font-weight: bold;
    text-decoration: none;
    color: #000000;
    background-color: #d0d0d0;
    border-top-color: #ffffff;
    border-bottom-color: #707070;
    border-right-color: #707070;
    border-left-color: #ffffff;
    border-style: solid solid;
    border-top-width: 1px;
    border-bottom-width: 2px;
    border-right-width: 2px;
    border-left-width: 1px
}
a:visited {
    color: #333897

absolute;\n  content: \"\";\n  border-color: transparent;\n  border-style: solid;\n}\n\n.bs-tooltip-top, .bs-tooltip-auto[x-placement^=\"top\"] {\n  padding: 0.4rem 0;\n}\n\n.bs-tooltip-top .arrow, .bs-tooltip-auto[x-placement^=\"top\"] .arrow {\n  bottom: 0;\n}\n\n.bs-tooltip-top .arrow::before, .bs-tooltip-auto[x-placement^=\"top\"] .arrow::before {\n  top: 0;\n  border-width: 0.4rem 0.4rem 0;\n  border-top-color: #000;\n}\n\n.bs-tooltip-right, .bs-tooltip-auto[x-placement^=\"right\"] {\n  padding: 0...

            assertTrue(obj instanceof ASN1TaggedObject, "Top-level should be tagged (APPLICATION)");
            ASN1TaggedObject top = (ASN1TaggedObject) obj;
            assertEquals(BERTags.APPLICATION, top.getTagClass(), "Top-level tag class should be APPLICATION");
            assertEquals(0, top.getTagNo(), "Top-level tag number should be 0");
            assertTrue(top.getBaseObject() instanceof ASN1Sequence, "Base object should be a sequence");

ll {\n  border-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-top {\n  border-top-left-radius: var(--bs-border-radius) !important;\n  border-top-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-top-0 {\n  border-top-left-radius: 0 !important;\n  border-top-right-radius: 0 !important;\n}\n\n.rounded-top-1 {\n  border-top-left-radius: var(--bs-border-radius-sm) !important;\n  border-top-right-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-top-2 {\n  ...

"Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application.

### Top-level application { #top-level-application }

First, create the main, top-level, **FastAPI** application, and its *path operations*:

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[3, 6:8] *}

### Sub-application { #sub-application }

            StringBuilder tokBuf = new StringBuilder(10);
            String tok;
            boolean inQuote = false;
            boolean tokStarted = false;
            boolean exit = false;
            while ((st.hasMoreTokens()) && (!exit)) {
                tok = st.nextToken(tokenList);
                switch (tok) {
                    case "\"":
                        inQuote = !inQuote;

            StringBuilder tokBuf = new StringBuilder(10);
            String tok;
            boolean inQuote = false;
            boolean tokStarted = false;
            boolean exit = false;
            while ((st.hasMoreTokens()) && (!exit)) {
                tok = st.nextToken(tokenList);
                switch (tok) {
                    case "\"":
                        inQuote = !inQuote;

from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They

}

// drain returns a single string representing the processed input tokens.
func drain(input *Input) string {
	var buf strings.Builder
	for {
		tok := input.Next()
		if tok == scanner.EOF {
			return buf.String()
		}
		if tok == '#' {
			continue
		}
		if buf.Len() > 0 {
			buf.WriteByte('.')
		}
		buf.WriteString(input.Text())
	}
}

type badLexTest struct {