Tag: A2

In minecraft, how do I construct a 4-bit comparator?

Post author By Gaming World
Post date October 23, 2020
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4-bit comparators are a basic building block in electronics, and useful in many redstone devices, in particular computers. I’m interested in a good overview of the construction this type of device. It takes eight signals as input: a0, a1, a2, a3, b0, b1, b2, b3; and outputs 2 signals: a<b, a=b with a>b = !(a<b). […]

Tags 4-bit comparators are a basic building block in electronics, A[1], A2, A3, and useful in many redstone devices, b0, b1, b2, in particular computers. I'm interested in a good overview of the construction this type of device. It takes eight signals as input: a0

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In minecraft, how do I construct a 4-bit comparator?

Post author By Gaming World
Post date October 21, 2020
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Tags 4-bit comparators are a basic building block in electronics, A[1], A2, A3, and useful in many redstone devices, b0, b1, b2, in particular computers. I'm interested in a good overview of the construction this type of device. It takes eight signals as input: a0

Mastering Development

pandas merge as of on one column, exactly on other columns?

Post author By Full Stack
Post date October 20, 2020
No Comments on pandas merge as of on one column, exactly on other columns?

I am trying to merge 2 dataframes, with exact matching on some columns and as_of matching on some other column (typically a date). The intention is very well described in this post (I’ll copy paste the main content below): Pandas: Approximate join on one column, exact match on other columns The post above was answered […]

Tags '2008-10-21'], '2010-06-20', '2016-05-20', '2016-05-23', 'asd2'], 'B':[4, 'col1': ['1232', 'col1': ['132', 'col2': ['asd', 'date': ['2010-01-23', 'dsa12', "2010-06-10", }).set_index('index') df1 Out[430]: col1 col2 col3 date index a1 1232 asd 1 2010-0, }).set_index('index') df2 Out[434]: col1 col2 col3 date b_col index b1 132 asd 1, 123, 2, 3, 432, a[4], A2, A3, b2, b3, before the introduction of pandas.merge_asof. I believe there can be an easier answer now that it's been released. Brutal approach would be t, col3 : 1 }, exact match on other columns The post above was answered ; only it dates back from 2016, I am trying to merge 2 dataframes, sd=2)), unless I am missing something? NOTE 2: I want to avoid computing all couples and then filtering as the dataframe may get too big., with exact matching on some columns and as_of matching on some other column (typically a date). The intention is very well described in this

Mastering Development

importing csv file with custom delimiter in mysql

Post author By Full Stack
Post date October 20, 2020
No Comments on importing csv file with custom delimiter in mysql

I’m doing mysql in my terminal as well as in my cmd. I have a table : mysql> create table stu (sno int, name char(10)); It’s CSV file (b.csv): sno, name 1,a 2,b 3,"c,d" I imported that in mysql : mysql> load data local infile ‘b.csv’ into table stu fields terminated by ‘,’ enclosed by […]

Tags ' enclosed by '"' lines terminated by '\n' ignore 1 rows; Query OK, "Name1", 1 warning (0.05 sec) Records: 2 Deleted: 0 Skipped: 0 Warnings: 1 mysql> show warnings; +---------+------+-------------------------------, 2 rows affected, 3 rows affected (0.05 sec) Records: 3 Deleted: 0 Skipped: 0 Warnings: 0 mysql> select * from stu; +------+------+ | sno | name | +------, A2, b3, c--, d | +------+------+ 3 rows in set (0.00 sec) When I change the default delimter alone : I have another file with a custom delimiter and a, d" I imported that in mysql : mysql> load data local infile 'b.csv' into table stu fields terminated by ', I'm doing mysql in my terminal as well as in my cmd. I have a table : mysql> create table stu (sno int, mysql> load data local infile 'a.csv' into table stu1 fields terminated by "-" enclosed by "*" lines terminated by '\n' ignore 1 rows; Query, name char(10)); It's CSV file (b.csv): sno

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In minecraft, how do I construct a 4-bit comparator?

Post author By Gaming World
Post date October 20, 2020
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Tags 2-bit, 4-bit comparators are a basic building block in electronics, A[1], a=b with a>b = !(a<b). Diagrams of how to do it with real electronics are easy to find. Usually people build 1-bit, A2, A3, and 4-bit comparators directly, and larger ones are created through cascades (to minimize the number of transistors used). Translating this to minecraft is a bit of an art;, and not rely on too much obscure behaviour. Compactness A device using a minimal amount of material is quicker to build and easier to fit i, and useful in many redstone devices, b0, b1, b2, b3; and outputs 2 signals: a<b, in particular computers. I'm interested in a good overview of the construction this type of device. It takes eight signals as input: a0, it should be easy enough to understand, making these less useful. Speed There's usually an expectation that whatever redstone contraption is providing the logic functions fast eno, roughly in order of importance: Maintainability The plan should be for the device to remain functioning as the game is updated. Answers usi

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OneDrive Screw Up (How to Repair)

Post author By How To
Post date October 17, 2020
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Long, weird, story. We ordered a laptop. It has a short: shocks us, completely crashes, and reboots. We’re sending it back. We ordered an AIO as a replacement. Works fine. Wife had stuff on the laptop. She hand moved most of it to the AIO. OneDrive synced everything it had from the problem laptop to […]

Tags 'deleted'), 1 and 2, 2, 3, A and B, a file was deleted and added in a subfolder, a file was deleted and added in the root. In folder A, A2, AA1, aaa, and AAA. Each subfolder contains two files, and AAA1 and AAA2 in the other. B is organized the same way. In the AIO, and did we want to restore it. Before we could coordinate, and I delete the folder from the laptop, and moved files and subfolders in its OneDrive folder. Needed to get all personal information off the laptop before returning. But the lapto, and reboot thing … and there was a setting in place to start OneDrive on a reboot. So it synced, and reboots. We’re sending it back. We ordered an AIO as a replacement. Works fine. Wife had stuff on the laptop. She hand moved most of it, and two folders, and two subfolders AA, B, b1, bb, bbb, but there are some discrepancies that are obvious to us. This seems to be mostly a problem of files and subfolders. Following code block lay, c--, C=c, completely crashes, crash, deleting the matching files and folders from OneDrive.com and from the new AIO (while my wife was watching from the other end of the house)., etc. I think this describes the initial setup of the problem laptop. It has two files, etc. Let files be the folder with a number, etc. Let files in the root be numbers 1, etc. Let subfolder be two or more letters: AA, files were only moved around. Like so (it would be great if someone can fill in the blank columns): Initial Laptop AIO After a Week A, how will it handle the discrepancy in files (what happens to AA3 — we do have some files that look like they may have just been dumped to the, I know that what OneDrive restored to the laptop does not match the back up that I’d made a few minutes before. And, in its root. A contains two files A1, it accomplished some synching while I was doing that. Backed up most of the personal stuff to a thumbdrive just to be sure. Then I deleted t, Long> { }, my wife did a restore on the AIO, OneDrive does not appear to have properly restored everything from the AIO back to itself. I know what OneDrive will do when I delete a file, so AA1 and AA2 in one, so it is not synced to her OneDrive. I powered on the laptop. I unlinked OneDrive on the problem laptop. For all I know, so: A1, story. We ordered a laptop. It has a short: shocks us, the problem laptop did its shock, weird!, when it is deleted from the laptop will OneDrive find it on the AIO and delete it (what happens to B1)? 2) If the folder has moved, when it is deleted from the laptop will OneDrive find it on the AIO and delete it (what happens to BBBB and its contents)? 3) If the files i, which then repopulated the AIO and the problem laptop. Here’s the thing. It is obvious that OneDrive got confused. Almost all of it is fine, while a subfolder was also deleted and added. In folder B, will OneDrive delete the folder with different files in it from the AIO (what happens to A)? If I then restore that

Mastering Development

Fast way to remove array of specific row values from 2D numpy array

Post author By Full Stack
Post date October 17, 2020
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I have a 2D array like this: a = np.array([[25, 83, 18, 71], [75, 7, 0, 85], [25, 83, 18, 71], [25, 83, 18, 71], [75, 48, 8, 43], [ 7, 47, 96, 94], [ 7, 47, 96, 94], [56, 75, 50, 0], [19, 49, 92, 57], [52, 93, 58, 9]]) and I want to […]

Tags -48, :, :]).any(-1).all(0)] '''def remove_nploop(data): a, 'a2':a2, 'a3':a3, 'a4':a4, 'B': [2 ** k for k in range(11, 'B': kernels[:3]}[figure], 'B':'Testing removal of large dataset'}[figure], 'B')] fig = plt.figure(figsize=(20, 'b1':b1, 'b3':b3, 'b4':b4, 'equality_check': lambda x, 'kernels': {'A': kernels, 'm1':m1, 'm2':m2, 'm3':m3, 'm4':m4} ravel_a = ne.evaluate('(a1-m1)+(a2-m2)*s1+(a3-m3)*s1*s2+(a4-m4)*s1*s2*s3', 'n_range': {'A': [2 ** k for k in range(12)], 'show_progress': False, 'title' : {'A':'Testing removal of small dataset', 'xlabel': 'Remowing n rows from n rows', "71", "s3", [ 75, ['s2', [56, 0, 1, 18, 19, 20)) for i in range(len(outs)): ax = fig.add_subplot(2, 25, 25)]}[figure], 4)) a2 = a1[np.random.randint(x, 43, 47, 49, 50, 52, 57, 57]]) Update The fastest approach is dimensionality reduction but it requires quite strict limitations of ranges of columns in general. The, 58, 7, 71]]) What is the most efficient way to do this in numpy or pandas? Expected output: np.array([[75, 8, 83, 85, 9, 9]]) and I want to remove rows that has specific values, 92, 93, 94, 96, a.tolist())) b_map = set(map(tuple, A2, a2 def build_args(figure): kernels = [remove_reducedim, A3, a4 = a.T b1, arr, axis=(0, axis=0) m, axis=0) m1, axis=0) mb, axis=0) ravel_a = np.ravel_multi_index((a-m).T, axis=0) s1, axis=1)] return a''' def remove_looped(data): a, B, b = a.astype(np.int64), b = data a, b = data dfa, b = data for arr in b: a = a[np.all(~np.equal(a, b = data return a[(a[None, b = data to_remain = [True]*len(a) a_map = list(map(tuple, b = data to_remain = [True]*len(a) ind = 0 for vec_a in a: for vec_b in b: if np.array_equal(vec_a, b.astype(np.int64) #make sure box is not too small ma, b.tolist())) for i in range(len(a)): to_remain[i] = not(a_map[i] in b_map) return a[to_remain] def remove_reducedim(data):, b2, b2=b2, b3, b4 = b.T d = {'a1':a1, d) ravel_b = ne.evaluate('(b1-m1)+(b2-m2)*s1+(b3-m3)*s1*s2+(b4-m4)*s1*s2*s3', d) return a[~np.isin(ravel_a, dfb = pd.DataFrame(a), for example: b = np.array([[56, how='left', I have a 2D array like this: a = np.array([[25, i+1) ax.grid(True, indicator=True)\ .query('_merge == "left_only"').drop(columns='_merge').values def remove_smalldata(data): a, M - m + 1) ravel_b = np.ravel_multi_index((b-m).T, M - m + 1) return a[~np.isin(ravel_a, M = np.min([ma, m2, M2-m2+1, m3, M3-m3+1, M4 = np.max([MA, m4 = np.min([ma, M4-m4+1 a1, MA = np.min(a, Mb, MB = np.min(b, None, np.max([MA, np.max(a, np.max(b, pd.DataFrame(b) return dfa.merge(dfb, ravel_b)] def remove_reducedim_boost(data): a, ravel_b)] def setup(x): a1 = np.random.randint(50000, remove_looped, remove_looped_boost, remove_pd, remove_reducedim_boost, remove_smalldata] return {'setup': setup, s1)(s1, s2)(s2, s3)(s3, s4 = M1-m1+1, size=x)] return a1, sizeX, time()-t) Output: Overall testing time: 529.2596168518066, vec_b): to_remain[ind] = False break ind += 1 return a[to_remain] def remove_looped_boost(data):, which="both") outs[i].plot() plt.show() print('Overall testing time:', y: np.array_equal(x, y)} t = time() outs = [perfplot.bench(**build_args(n)) for n in ('A'

Mastering Development

Grouping Nodes by hardcoding node values in XSLT

Post author By Full Stack
Post date October 13, 2020
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<root> <Entry> <ID>1</ID> <Details> <Code>A1</Code> <Value>1000</Value> </Details> </Entry> <Entry> <ID>2</ID> <Details> <Code>A2</Code> <Value>2000</Value> </Details> </Entry> <Entry> <ID>3</ID> <Details> <Code>B1</Code> <Value>3000</Value> </Details> </Entry> <Entry> <ID>4</ID> <Details> <Code>B2</Code> <Value>4000</Value> </Details> </Entry> </root> I have this input XML which I am looking to group via XSLT wherein the grouping happens by hardcoding node values. Let me explain that […]

Tags 1 A1 1000 <En, A2, A2 --> A & B1, A2 as A and B1, b1, B2 --> B is a generic example, B2 as B). I am using the word 'hardcoded' because the Codes (A1, B2) can come in any order so I want to rather hardcode the values to look for grouping than looking for Node indices. I looked at for-each-g, so a substring solution wouldn't work. That is why I was focusing on hardcoding to achieve that mapping., the actual node values are entirely different than this

Mastering Development

python datatable, string manipulation on column

Post author By Full Stack
Post date October 13, 2020
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from datatable import dt, f, g, by, update, join, sort tt = dt.Frame({‘a’ : [‘A1′,’A2′,’A3’], ‘b’:[100,200,300]}) print(tt) | a b — + — — 0 | A1 100 1 | A2 200 2 | A3 300 [3 rows x 2 columns] How can I remove the ‘A’ in the a column and assign it to […]

Tags '').astype(int) A datatable native version does not quite work tt[:, '')) for x in f.a])] TypeError: 'datatable.FExpr' object is not iterable By the way, 'by', )}>Update, 200, 300]}) print(tt) | a b -- + -- --- 0 | A1 100 1 | A2 200 2 | A3 300 [3 rows x 2 columns] How can I remove the 'A' in the a c, A2, A3, B(100), but not quite enough., f: '' }, for a frequent user of python pandas and R data.table, from datatable import dt, g, is there an advanced/complete cookbook that can help the transition from R data.table to py-datatable? There is a page on the website, join, sort tt = dt.Frame({'a' : ['A1', update(c = [int(x.replace('A'

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How to replicate excel’s solver in python? [closed]

Post author By Full Stack
Post date October 12, 2020
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I am currently developing an investment strategy in python that consists in choosing the weights of the portfolio’s assets based on the maximization of the mean utility, calculated from a sample of simulated utilities. Plase take this small example: #Function to define portfolio returns def pret(weights,rets): return np.sum(weights*(rets)) #Function to define Utility def utility(weights,rets): return […]

Tags '3'])#simulations df=np.transpose(df) df['Port. Ret.']=0 df['Utility']=0 #calculation of port. return and utility for each simulation for i, 'A8']#different assets df = pd.DataFrame(np.random.randn(8, ]) #Creation of dataframe index = ['A1', 0:8])) #Objective to maximize x=df['Utility'].mean() The objective here is therefore to get an array with 8 weights that maximize the averag, 0:8])) df.iloc[i, 2, 3, 8]=pret(eweights, 9]=utility(eweights, a[4], A2, A3, a5, a6, a7, calculated from a sample of simulated utilities. Plase take this small example: #Function to define portfolio returns def pret(weights, columns=[1, df.shape[0]): df.iloc[i, I am currently developing an investment strategy in python that consists in choosing the weights of the portfolio's assets based on the maxim, index=index, np.array(df.iloc[i, rets): return -((1/(1-10))*(1*(1+(pret(weights, rets): return np.sum(weights*(rets)) #Function to define Utility def utility(weights, rets))))**(1-10)) noa = 8 # number of different assets # initial guess: equal weights (1/4) eweights = np.array(noa*[1./noa