316 lines
9.7 KiB
Markdown
316 lines
9.7 KiB
Markdown
---
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layout: post
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title: Another test markdown
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subtitle: Each post also has a subtitle
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categories: markdown
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tags: [test]
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---
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Put the math expression within <span>$</span>...\$:
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\\(\LaTeX{}\\)
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$\Pi$
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$ a * b = c ^ b $
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$ 2^{\frac{n-1}{3}} $
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$ \int\_a^b f(x)\,dx. $
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\\( \int\_a^b f(x)\,dx. \\)
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$$
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\begin{cases}
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\text{if true}\ foo \\
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\text{if false}\ bar
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\end{cases}
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$$
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$ \rho {\rm{FOD}} = \sum\limits{\sigma ,i} {(\delta _1 - \delta _2 n_i^\sigma )|\phi _i^\sigma ({\bf{r}})|^2} $
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$$ \rho {\rm{FOD}} = \sum\limits{\sigma ,i} {(\delta _1 - \delta _2 n_i^\sigma )|\phi _i^\sigma ({\bf{r}})|^2} $$
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{{ "here is a liquid filter." | capitalize }}
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{% capture test %}
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\`escape inline code\`
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`inline code`
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Here is a **capture block**.
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{% endcapture %}
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{{ test | markdownify }}
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{% assign x = 100 %} {% assign x = x | divided_by: 3 %}
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100 / 3 = {{ x }}
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:+1:
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:bolivia:
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\1. 21312
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\2. 21312
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\4. 4214
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{% highlight python wl linenos %}
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import networkx as nx
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from collections import Counter
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diagrams = defaultdict(list)
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particle_counts = defaultdict(Counter)
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for (a, b), neighbors in common_neighbors.items():
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# Build up the graph of connections between the
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# common neighbors of a and b.
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g = nx.Graph()
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for i in neighbors:
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for j in set(nl.point_indices[
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nl.query_point_indices == i]).intersection(neighbors):
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g.add_edge(i, j)
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# Define the identifiers for a CNA diagram:
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# The first integer is 1 if the particles are bonded, otherwise 2
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# The second integer is the number of shared neighbors
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# The third integer is the number of bonds among shared neighbors
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# The fourth integer is an index, just to ensure uniqueness of diagrams
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diagram_type = 2-int(b in nl.point_indices[nl.query_point_indices == a])
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key = (diagram_type, len(neighbors), g.number_of_edges())
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# If we've seen any neighborhood graphs with this signature,
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# we explicitly check if the two graphs are identical to
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# determine whether to save this one. Otherwise, we add
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# the new graph immediately.
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if key in diagrams:
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isomorphs = [nx.is_isomorphic(g, h) for h in diagrams[key]]
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if any(isomorphs):
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idx = isomorphs.index(True)
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else:
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diagrams[key].append(g)
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idx = diagrams[key].index(g)
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else:
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diagrams[key].append(g)
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idx = diagrams[key].index(g)
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cna_signature = key + (idx,)
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particle_counts[a].update([cna_signature])
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{% endhighlight %}
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```cpp
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void insert(const char* key) {
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if (*key == '\0') {
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finish = true;
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} else {
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int idx = *key - 'A';
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if (!next[idx])
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next[idx] = new Trie();
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next[idx]->insert(key + 1);
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}
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}
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```
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```ruby
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p ":+1:"
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```
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``` diff
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+ 'user_exists' => 'SELECT EXISTS(SELECT 1 FROM table WHERE username = (:username || \'@sample'))',
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+ 'get_users' => 'SELECT split_part(username, \'@\', 1) FROM table WHERE (username ILIKE :search) OR (name ILIKE :search)',
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+ 'get_password_hash_for_user' => 'SELECT split_part(password, \'{CRYPT}\', 2) FROM table WHERE username = (:username || \'@sample\')',
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+ 'set_password_hash_for_user' => 'UPDATE table SET password = \'{CRYPT}\' || :new_password_hash WHERE username = (:username || \'@sample\')',
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```
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Reload the Nginx:
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``` console
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$ sudo nginx -s reload
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```
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|: |: :|: $$O_3 + C_2H_2 \rightarrow $$ :|||: $$O_3 + C_2H_4 \rightarrow $$ :|||: :|
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|: ^^ Method :| ^^ $$\lambda^a$$ | vdW | TS | cycloadd. | vdW | TS | cycloadd. | ^^ MAE |
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|-------------------------|-------------------|--------|-------|------------------------|-------|------|----------------------|-----------|
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| $$\lambda$$-tPBE | 0.20 | -0.40 | 7.69 | -68.00 | -1.86 | 4.87 | -57.57 | 1.29 |
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|-------------------------|-------------------|--------|-------|------------------------|-------|------|----------------------|-----------|
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| MC1H-PBE $$^b$$ | 0.25 | -1.08 | 3.66 | -70.97 | -1.25 | 0.13 | -61.26 | 3.35 |
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|-------------------------|-------------------|--------|-------|------------------------|-------|------|----------------------|-----------|
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| Reference values $$^c$$ | --------- | -1.90 | 7.74 | -63.80 | -1.94 | 3.37 | -57.15 | --------- |
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|=========================|===================|========|=======|========================|=======|======|======================|===========|
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| $$^a$$ The optimal mixing parameter.$$\~$$ $$^b$$ From Ref. .$$\~$$ $$^c$$ Best estimates from Ref. . ||||||||
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| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
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| spancell1 || spancell2 || cell | spancell3 ||
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|^^ spancell1 || spancell2 || cell | spancell3 ||
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{:class="custom-table"}
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<script>
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|:-----:|:-----:|:-----:|:-----:|
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| (0,0) | (0,1) | (0,2) | (0,3) |
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| (1,0) || ^^ | (1,3) |
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</script>
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|:-----:|:-----:|:-----:|:-----:| ---- |
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| (0,0) | (0,1) | (0,2) | (0,3) | |
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| (1,0) || ^^ | (1,3) | |
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|:-----:|:-----:|:-----:|:-----:| ---- |
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| (0,0) | (0,1) | (0,2) | (0,3) | |
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| (1,0) ||| (1,3) ||
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|:-----:|:-----:|:-----:|:-----:| ---- |
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| (0,0) | (0,1) | (0,2) | (0,3) | |
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| (1,0) ||| ^^ | |
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|:-----:|:-----:|:-----:|:-----:| ---- |
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| (0,0) | (0,1) | (0,2) | (0,3) | \
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| (1,0) ||| ^^ | |
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## Table
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| Stage | Direct Products | ATP Yields |
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| ----: | --------------: | ---------: |
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|Glycolysis | 2 ATP ||
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|^^ | 2 NADH | 3--5 ATP |
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|Pyruvaye oxidation | 2 NADH | 5 ATP |
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|Citric acid cycle | 2 ATP ||
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|^^ | 6 NADH | 15 ATP |
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|^^ | 2 FADH | 3 ATP |
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| 30--32 ATP |||
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{:color-style: style="background: black;" }
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{:color-style: style="color: white;" }
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{:font-style: style="font-weight: 900; text-decoration: underline;" }
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|: Here's a Inline Attribute Lists example :||||
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| ------- | ------------------------- | -------------------- | ----------- |
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|: :|: <div style="color: red;"> < Normal HTML Block > </div> :|||
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| ^^ | Red {: .cls style="background: orange" } |||
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| ^^ IALs | Green {: #id style="background: green; color: white" } |||
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| ^^ | Blue {: style="background: blue; color: white" } |||
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| ^^ | Black {: color-style font-style} |||
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[cell image]: https://jekyllrb.com/img/octojekyll.png "An exemplary image"
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| Heading | Column 1 | Column 2 |
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|--------------------|---------------|------------------------------------|
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| Row 1 | Apple[^1] | [Youtube (Home)] |
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| Row 2 | Banana | [Github][1] |
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| Row 3 (merged) | Blueberry | [Google] ***** [Github] |
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| ^^ | [Plum](https://example.com) | Raspberry ![example][cell image] |
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| Row 4 | <https://www.google.com> | [test](https://www.google.com){:target="_blank"} |
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|^^ |^^ <https://www.youtube.com> | |
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| Row 5 | <https://www.google.com> ||
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[Youtube (Home)]: https://www.youtube.com
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[Google]: https://www.google.com
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[Github]: https://www.github.com
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[1]: https://www.github.com
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[^1]: Footnote
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<https://www.google.com>
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Not in table: `<Mail Gateway>`
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In table:
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Decision Point | Design Decision
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--- | ---
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Authoritative DNS MX Record | `<Mail Gateway>`
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9 \* 9
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| 1 \* 1 = 1 |
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| 1 \* 2 = 2 | 2 \* 2 = 4 |
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| 1 \* 3 = 3 | 2 \* 3 = 6 | 3 \* 3 = 9 |
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| 1 \* 3 = 3 | 2 \* 3 = 6 | 3 \* 4 = 12 | 4 \* 4 = 16 |
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## Emoji
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:+1:
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## Mathjax
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$\LaTeX{}$
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## PlantUML
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@startuml
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Bob -> Alice : hello
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@enduml
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## Mermaid
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```mermaid!
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graph LR
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concurrent.futures --->| on top of | threading
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concurrent.futures --->| on top of | multiprocessing
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threading --->| on top of | \_thread
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click concurrent.futures "https://docs.python.org/3.9/library/concurrent.futures.html" _blank
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```
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## Video
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[\[video link\]](//www.youtube.com/watch?v=Ptk_1Dc2iPY)
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## Audio
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[HTML5 Audio Formats Test](https://hpr.dogphilosophy.net/test/)
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Opus Audio (".opus"):
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"MP3" file (".mp3") :
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WebM Audio (".weba"):
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WebMv2 Audio (".webm"):
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Ogg Vorbis (".ogg") :
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"wave" file(".wav") :
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FLAC file (".flac") :
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CAF file (".caf") :
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Spotify Podcast:
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## Special media links
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![]( {{ "/assets/devstories.webm" | relative_url }} )
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[](https://www.youtube.com/watch?v=kCHGDRHZ4eU)
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Tips:
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* Use pipes {% raw %}(`|`){% endraw %} to delineate columns, and dashes to delineate the header row from the rest of the table.
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* Spacing doesn't matter to the markdown processor, any extra white space is removed, but it can really help with readability.
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The two markdown examples below both create this table.
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Use pipes `{% raw %}(`|`){% endraw %}` to delineate columns, and dashes to delineate the header row from the rest of the table.
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