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diff --git a/_posts/2016-01-01-another-test-markdown.md b/_posts/2016-01-01-another-test-markdown.md new file mode 100644 index 0000000..9216fe4 --- /dev/null +++ b/_posts/2016-01-01-another-test-markdown.md @@ -0,0 +1,165 @@ +--- +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 + + + + + +[\[video link\]](//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. |