feat: add new test post

1 files changed, 165 insertions, 0 deletions

diff --git a/_posts/2016-01-01-another-test-markdown.md b/_posts/2016-01-01-another-test-markdown.md
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+---
+layout: post
+title: Another test markdown
+subtitle: Each post also has a subtitle
+categories: markdown
+tags: [test]
+---
+
+Put the math expression within <span>$</span>...\$:
+
+\\(\LaTeX{}\\)
+
+$\Pi$
+
+$ a * b = c ^ b $
+
+$ 2^{\frac{n-1}{3}} $
+
+$ \int\_a^b f(x)\,dx. $
+
+\\( \int\_a^b f(x)\,dx. \\)
+
+$ \rho {\rm{FOD}} = \sum\limits{\sigma ,i} {(\delta _1 - \delta _2 n_i^\sigma )|\phi _i^\sigma ({\bf{r}})|^2} $
+
+$$ \rho {\rm{FOD}} = \sum\limits{\sigma ,i} {(\delta _1 - \delta _2 n_i^\sigma )|\phi _i^\sigma ({\bf{r}})|^2} $$
+
+
+:+1:
+:bolivia:
+
+\1. 21312  
+\2. 21312  
+\4. 4214  
+
+{% highlight python wl linenos %}
+import networkx as nx
+from collections import Counter
+
+diagrams = defaultdict(list)
+particle_counts = defaultdict(Counter)
+
+for (a, b), neighbors in common_neighbors.items():
+    # Build up the graph of connections between the
+    # common neighbors of a and b.
+    g = nx.Graph()
+    for i in neighbors:
+        for j in set(nl.point_indices[
+            nl.query_point_indices == i]).intersection(neighbors):
+            g.add_edge(i, j)
+
+    # Define the identifiers for a CNA diagram:
+    # The first integer is 1 if the particles are bonded, otherwise 2
+    # The second integer is the number of shared neighbors
+    # The third integer is the number of bonds among shared neighbors
+    # The fourth integer is an index, just to ensure uniqueness of diagrams
+    diagram_type = 2-int(b in nl.point_indices[nl.query_point_indices == a])
+    key = (diagram_type, len(neighbors), g.number_of_edges())
+    # If we've seen any neighborhood graphs with this signature,
+    # we explicitly check if the two graphs are identical to
+    # determine whether to save this one. Otherwise, we add
+    # the new graph immediately.
+    if key in diagrams:
+        isomorphs = [nx.is_isomorphic(g, h) for h in diagrams[key]]
+        if any(isomorphs):
+            idx = isomorphs.index(True)
+        else:
+            diagrams[key].append(g)
+            idx = diagrams[key].index(g)
+    else:
+        diagrams[key].append(g)
+        idx = diagrams[key].index(g)
+    cna_signature = key + (idx,)
+    particle_counts[a].update([cna_signature])
+{% endhighlight %}
+
+
+|:                        |:                  :|: $$O_3 + C_2H_2 \rightarrow $$         :|||:  $$O_3 + C_2H_4 \rightarrow $$ :|||:       :| 
+|:  ^^ Method            :| ^^ $$\lambda^a$$  |    vdW |    TS |    cycloadd.           |  vdW  |  TS  |  cycloadd.           | ^^ MAE    |
+|-------------------------|-------------------|--------|-------|------------------------|-------|------|----------------------|-----------|
+| $$\lambda$$-tPBE        |   0.20            | -0.40  | 7.69  | -68.00                 | -1.86 | 4.87 | -57.57               | 1.29      |
+|-------------------------|-------------------|--------|-------|------------------------|-------|------|----------------------|-----------|
+| MC1H-PBE $$^b$$         |   0.25            | -1.08  | 3.66  | -70.97                 | -1.25 | 0.13 | -61.26               | 3.35      |
+|-------------------------|-------------------|--------|-------|------------------------|-------|------|----------------------|-----------|
+| Reference values $$^c$$ |   ---------       | -1.90  | 7.74  | -63.80                 | -1.94 | 3.37 | -57.15               | --------- |
+|=========================|===================|========|=======|========================|=======|======|======================|===========|
+| $$^a$$ The optimal mixing parameter.$$\~$$ $$^b$$ From Ref. .$$\~$$  $$^c$$ Best estimates from Ref. . ||||||||
+
+
+|   1   |  2     |   3   |   4   |  5   |  6   |  7  |
+| spancell1     ||   spancell2  || cell | spancell3 ||
+|^^ spancell1   ||   spancell2  || cell | spancell3 ||
+{:class="custom-table"}
+
+
+|:-----:|:-----:|:-----:|:-----:|
+| (0,0) | (0,1) | (0,2) | (0,3) |
+|     (1,0)    || ^^    | (1,3) |
+
+
+|:-----:|:-----:|:-----:|:-----:| ---- |
+| (0,0) | (0,1) | (0,2) | (0,3) |      |
+|     (1,0)    || ^^    | (1,3) |      |
+
+
+|:-----:|:-----:|:-----:|:-----:| ---- |
+| (0,0) | (0,1) | (0,2) | (0,3) |      |
+|     (1,0)           ||| (1,3)       ||
+
+
+|:-----:|:-----:|:-----:|:-----:| ---- |
+| (0,0) | (0,1) | (0,2) | (0,3) |      |
+|     (1,0)           ||| ^^    |      |
+
+|:-----:|:-----:|:-----:|:-----:| ---- |
+| (0,0) | (0,1) | (0,2) | (0,3) |      \
+|     (1,0)           ||| ^^    |      |
+
+
+# Table
+
+| Stage | Direct Products | ATP Yields |
+| ----: | --------------: | ---------: |
+|Glycolysis | 2 ATP                   ||
+|^^         | 2 NADH      | 3--5 ATP   |
+|Pyruvaye oxidation | 2 NADH | 5 ATP   |
+|Citric acid cycle  | 2 ATP           ||
+|^^                 | 6 NADH | 15 ATP  |
+|^^                 | 2 FADH | 3 ATP   |
+| 30--32 ATP                         |||
+
+
+9 \* 9
+
+| 1 \* 1 = 1 |
+| 1 \* 2 = 2 | 2 \* 2 = 4 |
+| 1 \* 3 = 3 | 2 \* 3 = 6 | 3 \* 3 = 9  |
+| 1 \* 3 = 3 | 2 \* 3 = 6 | 3 \* 4 = 12 | 4 \* 4 = 16 |
+
+# Emoji
+:+1:
+
+# Mathjax
+
+$\LaTeX{}$
+
+# PlantUML
+
+@startuml
+Bob -> Alice : hello
+@enduml
+
+# Video
+
+![](//www.youtube.com/watch?v=Ptk_1Dc2iPY)
+
+![](https://avatars3.githubusercontent.com/hubot?v=3&amp;s=40)
+
+[\[video link\]](//www.youtube.com/watch?v=Ptk_1Dc2iPY)
+
+Tips:
+* Use pipes {% raw %}(`|`){% endraw %} to delineate columns, and dashes to delineate the header row from the rest of the table.
+* Spacing doesn't matter to the markdown processor, any extra white space is removed, but it can really help with readability.
+The two markdown examples below both create this table.
+
+Use pipes `{% raw %}(`|`){% endraw %}` to delineate columns, and dashes to delineate the header row from the rest of the table.