Add break utility for long nowrap items (e.g. code)

This commit is contained in:
ines 2017-08-19 12:44:23 +02:00
parent 1fe5e1a4d1
commit 4731d50220
5 changed files with 11 additions and 7 deletions

View File

@ -112,6 +112,10 @@
.u-nowrap .u-nowrap
white-space: nowrap white-space: nowrap
.u-break.u-break
word-wrap: break-word
white-space: initial
.u-no-border .u-no-border
border: none border: none

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@ -216,7 +216,7 @@ p
+footrow +footrow
+cell returns +cell returns
+cell #[code numpy.ndarray[ndim=2, dtype='int32']] +cell #[code.u-break numpy.ndarray[ndim=2, dtype='int32']]
+cell +cell
| The exported attributes as a 2D numpy array, with one row per | The exported attributes as a 2D numpy array, with one row per
| token and one column per attribute. | token and one column per attribute.
@ -245,7 +245,7 @@ p
+row +row
+cell #[code array] +cell #[code array]
+cell #[code numpy.ndarray[ndim=2, dtype='int32']] +cell #[code.u-break numpy.ndarray[ndim=2, dtype='int32']]
+cell The attribute values to load. +cell The attribute values to load.
+footrow +footrow
@ -509,7 +509,7 @@ p
+table(["Name", "Type", "Description"]) +table(["Name", "Type", "Description"])
+footrow +footrow
+cell returns +cell returns
+cell #[code numpy.ndarray[ndim=1, dtype='float32']] +cell #[code.u-break numpy.ndarray[ndim=1, dtype='float32']]
+cell A 1D numpy array representing the document's semantics. +cell A 1D numpy array representing the document's semantics.
+h(2, "vector_norm") Doc.vector_norm +h(2, "vector_norm") Doc.vector_norm

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@ -129,7 +129,7 @@ p A real-valued meaning representation.
+table(["Name", "Type", "Description"]) +table(["Name", "Type", "Description"])
+footrow +footrow
+cell returns +cell returns
+cell #[code numpy.ndarray[ndim=1, dtype='float32']] +cell #[code.u-break numpy.ndarray[ndim=1, dtype='float32']]
+cell A 1D numpy array representing the lexeme's semantics. +cell A 1D numpy array representing the lexeme's semantics.
+h(2, "vector_norm") Lexeme.vector_norm +h(2, "vector_norm") Lexeme.vector_norm

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@ -37,7 +37,7 @@ p Create a Span object from the #[code slice doc[start : end]].
+row +row
+cell #[code vector] +cell #[code vector]
+cell #[code numpy.ndarray[ndim=1, dtype='float32']] +cell #[code.u-break numpy.ndarray[ndim=1, dtype='float32']]
+cell A meaning representation of the span. +cell A meaning representation of the span.
+footrow +footrow
@ -270,7 +270,7 @@ p
+table(["Name", "Type", "Description"]) +table(["Name", "Type", "Description"])
+footrow +footrow
+cell returns +cell returns
+cell #[code numpy.ndarray[ndim=1, dtype='float32']] +cell #[code.u-break numpy.ndarray[ndim=1, dtype='float32']]
+cell A 1D numpy array representing the span's semantics. +cell A 1D numpy array representing the span's semantics.
+h(2, "vector_norm") Span.vector_norm +h(2, "vector_norm") Span.vector_norm

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@ -250,7 +250,7 @@ p A real-valued meaning representation.
+table(["Name", "Type", "Description"]) +table(["Name", "Type", "Description"])
+footrow +footrow
+cell returns +cell returns
+cell #[code numpy.ndarray[ndim=1, dtype='float32']] +cell #[code.u-break numpy.ndarray[ndim=1, dtype='float32']]
+cell A 1D numpy array representing the token's semantics. +cell A 1D numpy array representing the token's semantics.
+h(2, "vector_norm") Span.vector_norm +h(2, "vector_norm") Span.vector_norm