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2 changes: 1 addition & 1 deletion mdit_py_plugins/dollarmath/index.py
Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,7 @@ def render_math_inline_double(
env: EnvType,
) -> str:
content = _renderer(str(tokens[idx].content).strip(), {"display_mode": True})
return f'<div class="math inline">{content}</div>'
return f'<div class="math block">{content}</div>'

def render_math_block(
self: RendererProtocol,
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8 changes: 4 additions & 4 deletions tests/fixtures/dollar_math.md
Original file line number Diff line number Diff line change
Expand Up @@ -516,21 +516,21 @@ Inline double-dollar start:
.
$$a=1$$ b
.
<p><div class="math inline">a=1</div> b</p>
<p><div class="math block">a=1</div> b</p>
.

Inline double-dollar end:
.
a $$a=1$$
.
<p>a <div class="math inline">a=1</div></p>
<p>a <div class="math block">a=1</div></p>
.

Inline double-dollar enclosed:
.
a $$a=1$$ (1) b
.
<p>a <div class="math inline">a=1</div> (1) b</p>
<p>a <div class="math block">a=1</div> (1) b</p>
.

Inline double-dollar, escaped:
Expand All @@ -549,7 +549,7 @@ $$
i.e., $[\alpha \bar{X}, \infty)$ is a lower 1-sided $1-\alpha$ confidence bound for $\mu$.
.
<p>Hence, for <span class="math inline">\alpha \in (0, 1)</span>,
<div class="math inline">\mathbb P (\alpha \bar{X} \ge \mu) \le \alpha;</div>
<div class="math block">\mathbb P (\alpha \bar{X} \ge \mu) \le \alpha;</div>
i.e., <span class="math inline">[\alpha \bar{X}, \infty)</span> is a lower 1-sided <span class="math inline">1-\alpha</span> confidence bound for <span class="math inline">\mu</span>.</p>
.

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