注：答案并非标准答案，大家可以参与讨论！
1、Which statement(s) is(are) correct about thread and process？Select all that apply.(5 Points)
A、Threads share the same address space of the parent process;Processes share the same address space of the parent process.
B、Changes to the main thread(cancellation，priority change，etc.) may affect the behavior of the other threads of the process; Changes to the parent process does not affect child processes.
C、Multiple threads mar cause deadlock,while multiple processes won't cause deadlock.
D、Threads can directly communicate with other threads of its process; Processes must use inter-process communication to communicate with sibling processes.
E、None of the above.
2、Which statement(s) below regarding TCP(Transmission Control Protocol) is(are) correct? Select all that apply.(5 Points)
A、TCP provides a way for applications to send encapsulated IP datagrams and send them without having to establish a connection.
B、TCP supports multicasting.
C、Port numbers below 1024 are called well-known ports and are reserved for standard services. For example,port 21 is reserved for FTP protocol, and port 25 is for SMTP protocol.
D、TCP handles package loss reliably.
E、None of the above.
3、Initialize integer i as 0, what's the value of i after the following operation?(5 Points)
- i += i > 0 ? i++ : i –;
A、-2
B、-1
C、0
D、1
E、2
4、Which of the follwing sequence(s) could not be a postorder tree walk result of a binary search tree?(5 Points)
A、1,2,3,4,5
B、3,5,1,4,2
C、1,2,5,4,3
D、5,4,3,2,1
5、When a dll is loaded into memory, which part(s) can be shared between processes?(5 Points)
A、code segment
B、static variable
C、global variable
D、external difinitions and references for linking
E、BSS segment
6、How many times is f() called when calculating f(10)?(5 Points)
- int f(int x)
- {
- if(x <= 2)
- return 1;
- return f(x - 2) + f(x - 4) + 1;
- }
A、14
B、18
C、20
D、24
E、None of the above.
7、Asume you have an object to describe customer data:(5 Points)
{
ID（7 digit numeric）
Family Name（string）
Account Balance（currency）
}
If you have 500,000 Chinese customers records represented by instances of this object type , what set of data structures is best to get fast retrieval of customers (1) get IDs from Name and (2) get Name from ID?
A、(1) Tree with Hash(100 bucket) at leaves(2) Tree with linked list at leaves.
B、(1) Tree with linked list at leaves(2) Array.
C、(1) Tree with linked list at leaves(2) Hash(10,000 buckets)
D、(1) Sort linked list(2) Array.
8、Let's assume one type of cancer may be mis-diagnosed in the examination. 5 out of 100 people with this cancer will be diagnosed as not having it , and 1 out of 100 people without this cancer will be diagnosed as having it. We know the chance of getting this cancer is around 0.1%. One person was examined and diagnosed of having this cancer, which of the following value if the closest to the chance of is really having it?(5 Points)
A、90%
B、50%
C、30%
D、10%
9、In which case(s) would you use an outer join?(5 Points)
A、The table being joined have NOT NULL columns.
B、The table being joined have only matched data.
C、The columns being joined have NULL values.
D、The table being joined have only unmatched data.
E、The table being joined have both matched and unmatched data.
10、As shown in the graph , start from node B , traverse the nodes on a Depth-First Search(DFS) algorithm , which is(are) the possible traversa sequence(s)? Select all that apply.(5 Points)
A、BADECF
B、BADEFC
C、BCAFDE
D、BCFDEA
E、BFDECA
11、The best time complexity of quick sort algorithm is:(5 Points)
A、O(lgn)
B、O(n)
C、O(nlgn)
D、O(n*n)
12、Which of the following method(s) CANNOT be used for Text-encryption:(5 Points)
A、MD5
B、RSA
C、RC4
D、DES
MD5是不可逆加密，不可以用来加密文本，DES和RC4是对称加密，RSA是不对称加密，都可以用于文本加密。
13、To speed up data access , we build cache system. In one system , The L1 cache access time is 5 ns , the L2 cache access time is 50 ns and the memory access time is 400 ns. The L1 cache miss rate is 50% , the L2 cache miss rate is 10%. The average data access time of this system is:(5 Points)
A、5
B、30
C、45
D、50
E、55
14、Which is(are) valid function pointer declaration(s) below ? Select all that apply.(5 Points)
A、void* f(int);
B、int (*f)();
C、void (*f(int , void(*)(int)))(int);
D、void (*(*f)(int))();
15、Which of the following method(s) could be used to optimize the speed of a program ? (5 Points)
A、Improve memory access pattern to decrease cache misses.
B、Use special instructions(e.g. vector instructions) to replace compiler generated assembly code.
C、Change an algorithm from recursive implementation to iterative implementation.
D、Loop unwinding.
16、Which regular expression(s) matches the sentence "www.microsoft.com" ? (5 Points)
A、^\w+\.\w+\.\w+$
B、[w]{0,3}.[a-z]*.[a-z]+
C、.[c-w.]{3,10}[.][c-w.][.][a]|.+
D、[w][w][w][microsoft]+[com]+
E、\w*
17、In the image below , if the function is designed to multiply two positive numbers which line number in the image contains the biggest functional bug(assume no overflow)? (5 Points)
A、Line 1
B、Line 2
C、Line 3
D、Line 4
E、Line 5
18、Which of the following can be referred to as attack method(s)? Select all that apply.(5 Points)
A、Vulnerability scan
B、SQL Injection
C、Drive-by downloading
D、Brute force
19、A table CANNOT have one or more of the following index configurations.(5 Points)
A、No indexes
B、A clustered index
C、clustered index and many non-clustered indexes
D、Many clustered index
20、Which of the following is(are) true about providing security to database servers ? Select all that apply.(5 Points)
A、Do not host a database server on the same server as your web server
B、Do not host a database server on a server based system
C、Do not use blank password for SA account
D、Employ a centralized administration model
第二部分测试时间为60分钟，满分50分。请务必在回答问题前仔细阅读变成题目。您可以选用C、C++、C#或者Java 其中任何一种编程语言，并且保证您的代码可以正确编译和有正确的结果。另外，请一定要注意您的代码的质量。
21、Given a singly linked list L: (L0 , L1 , L2…Ln-1 , Ln). Write a program to reorder it so that it becomes(L0 , Ln , L1 , Ln-1 , L2 , Ln-2…).
- struct Node
- {
- int val_;
- Node* next;
- };
Notes:
1、Space Complexity should be O(1)
2、Only the ".next" field of a node is modifiable.
代码：
struct Node { int val_; Node* next; }; Node* reverse_list(Node* phead) //链表反转 { Node *temp ,*curr , *pre , *reverse_head; pre = NULL; curr = phead; while(curr->next) { temp = curr->next; curr->next = pre; pre = curr; curr = temp; } curr->next = pre; reverse_head = curr; return reverse_head; } Node* Merge(Node* slow , Node* fast) { if(fast == NULL) return slow; if(slow == NULL) return fast; Node *head , *result; result = NULL; int i = 0; while(slow && fast) { if(0 == i) { if(NULL == result) { head = result = slow; slow = slow->next; } else { result->next = slow; slow = slow->next; result = result->next; } } else { if(NULL == result) { head = result = fast; fast = fast->next; } else { result->next = fast; fast = fast->next; result = result->next; } } i ^= 1; }//while if(slow) { result->next = slow; } if(fast) { result->next = fast; } return head; } Node* reorder_list(Node* phead) { Node *r_head , *slow , *fast; r_head = slow = fast = phead; while(fast->next != NULL && fast->next->next != NULL) { slow = slow->next; fast = fast->next->next; } if(slow->next == NULL) return r_head; fast = slow->next; slow->next = NULL; slow = phead; fast = reverse_list(fast); //链表的后半部分反转 r_head = Merge(slow , fast); //链表归并 return r_head; }
转自：http://blog.csdn.net/hackbuteer1/article/details/12190807 感谢Hackbuteer1！
竟然出新！！！！！
对于输出格式不用控制？？还是直接使用cout输出。？？
对，就是把这32位当成一个长度为32的数组
其实不需要用LCA，用DFS+vector更简单
Excellent Web-site! I required to ask if I might webpages and use a component of the net web website and use a number of factors for just about any faculty process. Please notify me through email regardless of whether that would be excellent. Many thanks
大哥，你复制也看看是不是这题的答案才复制吧。
具体实现上有所差别，但思路是一样的
编辑的时候有些不小心了
此题答案确实应该是A。文中已修改，感谢一楼的提醒！
第一段代码中：
next = next ;
明显不对吧，应该是 next =j;才对
http://www.realoj.com/problem/7如果楼主不介意，以可以在这个oj上做下，按照你的代码是错的。。。直接复制粘贴你的也是错。。不懂错在哪。
具体实现上有所差别，但思路是一样的
这道题这里的解法最坏情况似乎应该是指数的。回溯的时候
O(n) = O(n-1) + O(n-2) + ….
O(n-1) = O(n-2) + O(n-3)+ …
O(n) – O(n-1) = O(n-1)
O(n) = 2O(n-1)
第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。
第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。


Provides joint analysis and imputation of (generalized) linear regression models, (generalized) linear mixed models and parametric survival models with incomplete (covariate) data in the Bayesian framework. The package performs some preprocessing of the data and creates a 'JAGS' model, which will then automatically be passed to 'JAGS' <http://mcmc-jags.sourceforge.net> with the help of the package 'rjags'. It also provides summary and plotting functions for the output.
| Version: | 0.4.0 |
| Depends: | rjags (≥ 4-6) |
| Imports: | MASS, mcmcse, coda |
| Suggests: | knitr, rmarkdown, foreign, ggplot2, reshape2 |
| Published: | 2018-12-04 |
| Author: | Nicole S. Erler [aut, cre] |
| Maintainer: | Nicole S. Erler <n.erler at erasmusmc.nl> |
| BugReports: | https://github.com/nerler/JointAI/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/nerler/JointAI |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS (http://mcmc-jags.sourceforge.net) |
| Language: | en-US |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | JointAI results |
| Reference manual: | JointAI.pdf |
| Vignettes: |
After fitting MCMC settings Minimal Example Model Specification Parameter Selection Visualizing Incomplete Data |
| Package source: | JointAI_0.4.0.tar.gz |
| Windows binaries: | r-devel: JointAI_0.4.0.zip, r-release: JointAI_0.4.0.zip, r-oldrel: JointAI_0.4.0.zip |
| OS X binaries: | r-release: JointAI_0.4.0.tgz, r-oldrel: JointAI_0.4.0.tgz |
| Old sources: | JointAI archive |
Please use the canonical form https://CRAN.R-project.org/package=JointAI to link to this page.


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The Federal Open Market Committee decided today to keep its target for the federal funds rate at 1 percent. The Committee continues to believe that an accommodative stance of monetary policy, coupled with robust underlying growth in productivity, is providing important ongoing support to economic activity. The evidence accumulated over the intermeeting period indicates that output is continuing to expand at a solid rate and hiring appears to have picked up. Although incoming inflation data have moved somewhat higher, long-term inflation expectations appear to have remained well contained. The Committee perceives the upside and downside risks to the attainment of sustainable growth for the next few quarters are roughly equal. Similarly, the risks to the goal of price stability have moved into balance. At this juncture, with inflation low and resource use slack, the Committee believes that policy accommodation can be removed at a pace that is likely to be measured. Voting for the FOMC monetary policy actions were: Alan Greenspan, Chairman;
Timothy F. Geithner, Vice Chairman; Ben S. Bernanke; Susan S. Bies; Roger
W. Ferguson, Jr.; Edward M. Gramlich; Thomas M. Hoenig; Donald L. Kohn;
Cathy E. Minehan; Mark W. Olson; Sandra Pianalto; and William Poole. Home | News and events Accessibility Last update: May 4, 2004 |


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Rickshaw is a simple framework for drawing charts of time series data on a web page, built on top of Mike Bostock's delightful D3 library. These charts can be powered by static historical data sets, or living data that continuously updates in real time.
Rickshaw builds on top of D3 technically, and spiritually too. Rickshaw makes every effort to provide help for common problems without obscuring anything underneath it. If you need to reach down to D3 or the SVG layers below, go right ahead -- it's all there waiting.
Let's start with a simple but complete program that paints a chart:
Breaking that down, first we pull in our dependencies and create
a div to hold our chart. Then in our script
we
call Rickshaw.Graph
's constructor, and pass along an
element reference to our chart container, some layout instructions,
and a series of data objects.
The series
object has a couple of slots,
a data
array of coordinate objects, and a color to draw
them with. Finally, we call the render() method on our just instantiated
graph object, which creates paints our chart on the screen.
Our previous work allowed us to paint a chart of made up values with minimal scaffolding. That was fun, but it doesn't tell us anything interesting about data. Let's use population change data from the 2010 U.S. Census to power our chart, and see what we find.
We'll begin by drawing a line representing the United States
population with a point for each decade from 1910 to 2010. We'll use
a short script we've written to massage the
CSV data at the census.gov URL into a JavaScript data structure
that Rickshaw.Graph
's constructor can take as
its data
argument.
A trained eye can already see some points of interest there. For instance, ending about a quarter way into the graph there is a short period where the growth rate flattens out significantly. What happened then?
First we have to answer the question of when the flattening happened.
Putting a label on our x axis should help. Rickshaw gives us a helper
for time based axes. After we modify our data transformation script
to use epoch seconds for the x
values we can pass our
graph along to Rickshaw.Graph.Axis.Time
's constructor.
When the graph's render()
function is later called
Rickshaw examines the x
domain and determines the time
unit being used, and labels the graph accordingly. The styling we
included lines up the labels nicely across the bottom of our graph.
Our updated transform_epoch.pl uses epoch
seconds for x
. Let's see how we do.
Now let's add the pieces to get a y
axis. We need a new
HTML element to put the y
axis in, as well as some
styling to position the axis absolutely in relation to the chart.
We pass along a reference to our graph to
Rickshaw.Graph.Axis.Y
's constructor, as well as the
element we want to draw the axis inside. We also ask
Rickshaw.Fixtures.Number.formatKMBT
to help us format the
numbers on our y
ticks in there.
The Great Depression left a mark. We should break that data down by region. Some simple changes to our data transformation gives us the regional data for our series. Here's transform_region.pl.
Plugging that data into our series parameter leaves us wanting to
provide colors for each of those individual series. We'll use the
Rickshaw.Color.Palette
plugin to pick our colors. Once
we've created our palette, calling its color()
method
returns the next color.
We need a legend! Following a familiar pattern, we add a container
div for the legend and style it. Then we call the constructor for the
Rickshaw.Graph.Legend
plugin, which takes a reference to
our newly added DOM element, and a reference to the graph.
It's clear that the South is growing quickly, but instead of painting this chart as a stacked graph it would be nice to see how these growth patterns line up against each other. We set the renderer in a callback, and then ask the graph to update.
In addition to setting the default renderer for the graph, we've added a little JavaScript to observe clicks between our stack/line toggle whose job is to update the type of renderer we're using and render the graph appropriately.
We're just getting started, but that's all for today. Next time we'll get into stacked bars, and different line interpolations, and smoothing, and zooming.
If you're clamoring for more, you may enjoy a poke around in the examples directory.


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LIMBR package¶
Submodules¶
LIMBR.imputable module¶
-
class
LIMBR.imputable.
imputable
(filename, missingness)[source]¶ Bases:
object
Imputes missing data with K Nearest Neighbors based on user specified parameters.
This class generates an object from raw data and allows for preprocessing, imputation and output of that data.
Parameters: Variables: - data (dataframe) – This is where the raw data read from filename is stored.
- miss (float) – This is where the maximum allowable percentage of missingness expressed as a decimal is stored.
- pats (dict) – This is where the set of missingness patterns found in the dataset will be stored later, initialized here.
-
deduplicate
()[source]¶ Removes duplicate peptides.
Groups rows by peptide, if a peptide appears in more than one row it is removed.
-
drop_missing
()[source]¶ Removes rows which are missing more data than the user specified missingness threshold.
-
impute
(outname)[source]¶ Imputes missing data with KNN and outputs the results to the specified file.
First all of the missingness patterns present in the dataset are identified. Then those patterns are iterated over and for each pattern, missing values are imputed. Finally the dataset is reformed with the imputed values and output.
Parameters: outname (str) – Path to output file.
LIMBR.old_fashioned module¶
-
class
LIMBR.old_fashioned.
old_fashioned
(filename, data_type, pool=None)[source]¶ Bases:
object
Performs a standard normalization procedure without SVD as a baseline.
This class performs simple quantile normalization and row scaling along with pool normalization for proteomics experiments using the same methods and interface employed in the sva class. This provides a baseline comparison point for data processed with LIMBR.
Parameters: - filename (str) – Path to the input dataset.
- data_type (str) – Type of dataset, one of ‘p’ or ‘r’. ‘p’ indicates proteomic with two index columns specifying peptide and protein. ‘r’ indicates RNAseq with one index column indicating gene.
- pool (str) – Path to file containing pooled control design for experiment in the case of data_type = ‘p’. This should be a pickled dictionary with the keys being column headers corresponding to each sample and the values being the corresponding pooled control number.
Variables: -
normalize
(outname)[source]¶ Groups peptides by protein and outputs final processed dataset.
These final results are then written to an output file.
Parameters: outname (str) – Path to desired output file.
-
pool_normalize
()[source]¶ Preprocessing normalization.
Performs pool normalization on an sva object using the raw_data and norm_map if pooled controls were used. Quantile normalization of each column and scaling of each row are then performed.
Variables: - scaler (sklearn.preprocessing.StandardScaler()) – A fitted scaler from the sklearn preprocessing module.
- data_pnorm (dataframe) – Pool normalized data.
LIMBR.sva module¶
-
class
LIMBR.sva.
sva
(filename, design, data_type, blocks=None, pool=None)[source]¶ Bases:
object
Performs sva based identification and remmoval of batch effects.
This class takes a dataset without missing values (raw RNAseq or Proteomics from class imputable). It performs pool normalization for proteomics datasets and quantile normalization and scaling for all datasets. The data is then subsetted based on correlation to a primary variable of interest determined by the experimental design. This subsetted data is used to calculate a residual matrix from which initial estimates of batch effects are produced by SVD. Significance of these batch effects are estimated by permutation of the residual matrix. Batch effects deemed significant are regressed against the original dataset and final batch effects are calculated from those rows most correlated with the effect.
Parameters: - filename (str) – Path to the input dataset.
- design (str) – Experimental design, one of: ‘c’, ‘l’, ‘b’. ‘c’ indicates a circadian timecourse. ‘l’ indicates a general timecourse (lowess fit used). ‘b’ indicates a block design.
- data_type (str) – Type of dataset, one of ‘p’ or ‘r’. ‘p’ indicates proteomic with two index columns specifying peptide and protein. ‘r’ indicates RNAseq with one index column indicating gene.
- blocks (str) – Path to file containing block design in the case of design = ‘b’. This should be a pickled list of which block each sample corresponds with.
- pool (str) – Path to file containing pooled control design for experiment in the case of data_type = ‘p’. This should be a pickled dictionary with the keys being column headers corresponding to each sample and the values being the corresponding pooled control number.
Variables: - raw_data (dataframe) – This is where the input data is stored.
- data_type (str) – This is where the data type (‘p’ or ‘r’) is stored.
- designtype (str) – This is where the design type of the experiment (‘c’,’l’ or ‘b’) is stored.
- block_design (list) – This is where the block assignments for each sample are stored if designtype = ‘b’.
- norm_map (dict) – This is where the assignment of pooled controls to samples are stored if data_type = ‘p’.
-
eig_reg
(alpha)[source]¶ Regresses eigentrends (batch effects) against the reduced dataset calculating p values for each row being associated with that trend.
Batch effects are estimated with SVD and only those passing the significance threshold for permutation testing are retained. These trends are then regressed against each row of the reduced data to estimate a p value for that row’s association with that trend.
Parameters: alpha (float) – Significance threshold for permutation testing, expressed as a decimal. Variables: ps (arr) – P values for association between rows and estimated batch effects.
-
get_res
(in_arr)[source]¶ Calculates model residuals from which to learn batch effects.
For time course based designs, this is done with a lowess model. For block designs, this is done with the block means.
Parameters: in_arr (arr) – Input array of data from which to calculate residuals. Returns: res_mat – Residual matrix. Return type: arr
-
get_tks
(arr)[source]¶ calculates the fraction of variance for each row of the residual matrix explained by each principle component with PCA
-
get_tpoints
()[source]¶ Extracts timepoints from header of data.
Splits strings in header based on required syntax and generates timepoints.
Variables: tpoints (array) – array of timepoints at which samples were collected.
-
normalize
(outname)[source]¶ Creates diagnostic files, normalizes data based on calculated batch effects, groups peptides by protein and outputs final processed dataset.
Diagnostic files containing estimated batch effects, explained variance ratios, results of permutation testing and estimated magnitudes of each batch effect on each peptide are generated. The signal produced by significant batch effects is then estimated and removed from the dataset. These final results are then written to an output file.
Parameters: outname (str) – Path to desired output file. Variables: svd_norm (dataframe) – Normalized dataframe with significant batch effects removed.
-
perm_test
(nperm, npr)[source]¶ Performs permutation testing on residual matrix SVD.
The rows of the residual matrix are first permuted. Then get_tks is called to calculate explained variance ratios and these tks are compared to the values from the actual residual matrix. A running total is kept for the number of times the explained variance from the permuted matrix exceeds that from the original matrix. And significance is estimated by dividing these totals by the number of permutations. This permutation testing is multiprocessed to decrease calculation times.
Parameters: Variables: sigs (array) – Estimated significances for each batch effect.
-
pool_normalize
()[source]¶ Preprocessing normalization.
Performs pool normalization on an sva object using the raw_data and norm_map if pooled controls were used. Quantile normalization of each column and scaling of each row are then performed.
Variables: - scaler (sklearn.preprocessing.StandardScaler()) – A fitted scaler from the sklearn preprocessing module.
- data_pnorm (dataframe) – Pool normalized data.
-
prim_cor
()[source]¶ calculates correlation for each row against the primary variable of interest.
The primary variable of interest is defined based on the designtype. For circadian (‘c’) this is the difference between the autocorrelation at the expected period and one half that period. For general timecourse (‘l’) this is the goodness of fit of a lowess model. For a block design (‘b’) this is the ANOVA f statistic.
Variables: cors (array) – Array of correlations with primary variable of interest. The calculation of this variable is determined by the designtype as specified above and the procedure described in the corresponding function.
-
reduce
(percsub)[source]¶ Reduces the data based on the correlation to primary variable of interest calculated in prim_cor.
Rows most correlated with the variable of interest up to the specified percentage are dropped from the dataset.
Parameters: percsub (float) – Percentage of data to remove during reduction. Variables: data_reduced (dataframe) – Reduced dataset.
-
set_res
()[source]¶ Calls get_res()
Variables: res (arr) – This is where the residual matrix is stored.
-
set_tks
()[source]¶ Calls get_tks().
Variables: tks (list) – This is where the tks (explained variance ratios) are stored.
-
subset_svd
(lam)[source]¶ Performs SVD on the subset of rows associated with each batch effect.
The reduced data is first subsetted based on the p values form the regression for each estimated batch effect. After subsetting the reduced data, SVD is performed on this matrix and the true batch effect is taken as the right singular vector most correlated with the initially estimated batch effect.
Parameters: lam (float) – P value cutoff above which distribution is assumed to be uniform. Used to calculate significance cutoff.
Variables: - ts (arr) – Estimated batch effects (right singular vectors).
- pepts (arr) – Estimates of effect size for each batch effect on each peptide (left singular vectors).


Preprints (In Submission)
Select Publications
-
Shreya Shankar, Rolando Garcia (co-first author), Joseph M. Hellerstein, Aditya G. Parameswaran.
Operationalizing Machine Learning: An Interview Study. Arxiv (preprint),
2023.
-
Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph E. Gonzalez, Joseph M.
Hellerstein, Koushik Sen.
Hindsight Logging for Model Training. PVLDB, 14(4):682-693, 2021.
-
Rolando Garcia, Vikram Sreekanti, Neeraja J. Yadwadkar, Daniel Crankshaw, Joseph E. Gonzalez, Joseph M.
Hellerstein.
Context: The
Missing Piece in the Machine Learning Lifecycle . Common Model Infrastructure
at KDD, 2018.
Publications
-
Rolando Garcia, Giulia Guidi.
BuDDI: A
Declarative Bloom Language for CALM Programming. ArXiv, 2021.
-
Michael Steptoe, Robert Krüger, Rolando Garcia, Xing Liang, Ross Maciejewski.
A Visual Analytics Framework
for Exploring Theme Park Dynamics. ACM Transactions on Interactive Intelligent Systems,
2018.
-
Yafeng Lu, Rolando Garcia, Brett Hansen, Michael Gleicher, Ross Maciejewski.
The State-of-the-Art in Predictive
Visual Analytics. Computer Graphics Forum, 2017.
- Michael Steptoe, Robert Krüger, Yifan Zhang, Xing Liang, Rolando Garcia, Sagarika Kadambi, Wei Luo,
Thomas Ertl, Ross Maciejewski.
VADER/VIS VAST 2015 Grand
Challenge Entry.
Proceedings of the IEEE Visual Analytics Science and Technology Challenge Workshop, 2015.


THE PORTFOLIO
OF TORI POPINKO
Home
Resume
Contact
Bio
SJUFH
Hi, my name is Tori Popinko and you should hire me.


2 writes to _executionState
System.Management.Automation (2)
engine\hostifaces\PowerShell.cs (2)
198
_executionState
= state;
208
_executionState
= (PSInvocationState)((int)pipelineStateInfo.State);
2 references to _executionState
System.Management.Automation (2)
engine\hostifaces\PowerShell.cs (2)
225
return
_executionState
;
256
_executionState
,


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Contents
classdef DeviceUnits < handle
% DEVICEUNITS Unit conversion helper for Zaber devices. % This class is used to store the unit scale factors for Zaber devices. % Unit conversions vary from device to device according to variations in % physical characteristics. % % Note that for most devices, the device's resolutions setting must be % factored into the conversions. The scale properties found in this % class are typically measures of the number of device "steps" per % standard unit, but native device units are "microsteps" of which there % are "resolution" amount per step. So for example the native quantity % for position is the position scale times the number of meters times % the device resolution. % % See also Zaber.Device.Units % Author: Zaber Technologies Software Team<EMAIL_ADDRESS>Public instance properties
properties % POSITIONUNITSCALE Number of coarse position units per meter or % degree. PositionUnitScale % VELOCITYUNITSCALE Number of coarse velocity units per m/s or % degrees/s. VelocityUnitScale % ACCELERATIONUNITSCALE Number of coarse acceleration units per % m/s^2 or degrees/s^2. AccelerationUnitScale % FORCEUNITSCALE Number of force units per newton. ForceUnitScale % RESOLUTION Device resolution in units of microstep per step, % where applicable. Set to 1 if not applicable. Resolution end
Public instance methods
methods function obj = DeviceUnits() % DEVICEUNITS Constructor. Initializes conversions to unity. obj.PositionUnitScale = 1.0; obj.VelocityUnitScale = 1.0; obj.AccelerationUnitScale = 1.0; obj.ForceUnitScale = 1.0; obj.Resolution = 1.0; end function result = positiontonative(obj, aPosition) % POSITIONTONATIVE Convert position to device units. % microsteps = units.POSITIONTONATIVE(position); % % position - The desired position for the device. Units are % meters if it is a linear device, or degrees if it % is a rotary device. % microsteps - The number to send to the device in a move % absolute command to reach the desired position. result = double(aPosition) * obj.PositionUnitScale * double(obj.Resolution); end function result = nativetoposition(obj, aPosition) % NATIVETOPOSITION Convert device position units to standard. % siUnits = units.NATIVETOPOSITION(position); % % position - The current position of the device in its native % units. % siUnits - The device position converted to meters for linear % devices or degrees for rotary devices. result = (double(aPosition) / double(obj.Resolution)) / obj.PositionUnitScale; end function result = velocitytonative(obj, aVelocity) % VELOCITYTONATIVE Convert velocity to device units. % microsteps = units.VELOCITYTONATIVE(position); % % velocity - The desired velocity for the device. Units are % meters per second if it is a linear device, or % degrees per second if it is a rotary device. % microsteps - The number to send to the device in a move % at velocity command to reach the desired speed. result = double(aVelocity) * obj.VelocityUnitScale * double(obj.Resolution); end function result = nativetovelocity(obj, aVelocity) % NATIVETOVELOCITY Convert device velocity units to standard. % siUnits = units.NATIVETOVELOCITY(velocity); % % velocity - A velocity of the device in its native units. % siUnits - The device velocity converted to meters per second % for linear devices or degrees per second for rotary % devices. result = (double(aVelocity) / double(obj.Resolution)) / obj.VelocityUnitScale; end function result = accelerationtonative(obj, aAccel) % ACCELERATIONTONATIVE Convert acceleration to device units. % microsteps = units.ACCELERATIONTONATIVE(accel); % % accel - The desired acceleration for the device. Units are % meters per second squared if it is a linear device, or % degrees per second squared if it is a rotary device. % microsteps - The number to send to the device when changing % an acceleration setting. result = double(aAccel) * obj.AccelerationUnitScale * double(obj.Resolution); end function result = nativetoacceleration(obj, aAccel) % NATIVETOACCELERATION Convert device acceleration units to standard. % siUnits = units.NATIVETOACCELERATION(accel); % % accel - An acceleration of the device in its native units. % siUnits - The device acceleration converted to meters per second % squared for linear devices or degrees per second % squared for rotary devices. result = (double(aAccel) / double(obj.Resolution)) / obj.AccelerationUnitScale; end function result = forcetonative(obj, aNewtons) % FORCETONATIVE Convert force in newtons to device units. % deviceunits = units.FORCETONATIVE(newtons); % % newtons - The desired force output from the device, in % newtons. Note that only some device types support % force output mode. % deviceunits - The number to send to the device when issuing a % force output command. result = double(aNewtons) * obj.ForceUnitScale; end function result = nativetoforce(obj, aDeviceUnits) % NATIVETOFORCE Convert device force units to newtons. % newtons = units.NATIVETOFORCE(deviceunits); % % deviceunits - A force measurement from the device, in its own % units. % newtons - The device force converted to newtons. result = double(aDeviceUnits) / obj.ForceUnitScale; end end
end


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4. More Control Flow Tools
Besides the while statement just introduced, Python knows the usual control flow statements known from other languages, with some twists.
Perhaps the most well-known statement type is the if statement. For example:
x = int(input("Please enter an integer: "))
if x < 0:
x = 0
print('Negative changed to zero')
elif x == 0:
print('Zero')
elif x == 1:
print('Single')
else:
print('More')
There can be zero or more elif parts, and the else part is optional. The keyword ‘ elif ’ is short for ‘ else if ’, and is useful to avoid excessive indentation. An if … elif … elif … sequence is a substitute for the switch or case statements found in other languages.
The for statement in Python differs a bit from what you may be used to in C or Pascal. Rather than always iterating over an arithmetic progression of numbers (like in Pascal), or giving the user the ability to define both the iteration step and halting condition (as C), Python’s for statement iterates over the items of any sequence (a list or a string), in the order that they appear in the sequence. For example (no pun intended):
# Measure some strings:
words = ['cat', 'window', 'defenestrate']
for w in words:
print(w, len(w))
If you need to modify the sequence you are iterating over while inside the loop (for example to duplicate selected items), it is recommended that you first make a copy. Iterating over a sequence does not implicitly make a copy. The slice notation makes this especially convenient:
for w in words[:]: # Loop over a slice copy of the entire list.
if len(w) > 6:
words.insert(0, w)
words
With for w in words:, the example would attempt to create an infinite list, inserting defenestrate over and over again.
If you do need to iterate over a sequence of numbers, the built-in function range() comes in handy. It generates arithmetic progressions:
for i in range(5):
print(i)
The given end point is never part of the generated sequence; range(10) generates 10 values, the legal indices for items of a sequence of length 10. It is possible to let the range start at another number, or to specify a different increment (even negative; sometimes this is called the ‘step’):
range(5, 10)
5, 6, 7, 8, 9
range(0, 10, 3)
0, 3, 6, 9
range(-10, -100, -30)
-10, -40, -70
To iterate over the indices of a sequence, you can combine range() and len() as follows:
a = ['Mary', 'had', 'a', 'little', 'lamb']
for i in range(len(a)):
print(i, a[i])
In most such cases, however, it is convenient to use the enumerate() function, see Looping Techniques.
A strange thing happens if you just print a range:
print(range(10))
In many ways the object returned by range() behaves as if it is a list, but in fact it isn’t. It is an object which returns the successive items of the desired sequence when you iterate over it, but it doesn’t really make the list, thus saving space. We say such an object is iterable, that is, suitable as a target for functions and constructs that expect something from which they can obtain successive items until the supply is exhausted. We have seen that the for statement is such an iterator. The function list() is another; it creates lists from iterables:
list(range(5))
Later we will see more functions that return iterables and take iterables as argument.
The break statement, like in C, breaks out of the innermost enclosing for or while loop.
Loop statements may have an else clause; it is executed when the loop terminates through exhaustion of the list (with for ) or when the condition becomes false (with while), but not when the loop is terminated by a break statement. This is exemplified by the following loop, which searches for prime numbers:
for n in range(2, 10):
for x in range(2, n):
if n % x == 0:
print(n, 'equals', x, '*', n//x)
break
else:
# loop fell through without finding a factor
print(n, 'is a prime number')
(Yes, this is the correct code. Look closely: the else clause belongs to the for loop, not the if statement.)
When used with a loop, the else clause has more in common with the else clause of a try statement than it does that of if statements: a try statement’s else clause runs when no exception occurs, and a loop’s else clause runs when no break occurs. For more on the try statement and exceptions, see Handling Exceptions.
The continue statement, also borrowed from C, continues with the next iteration of the loop:
for num in range(2, 10):
if num % 2 == 0:
print("Found an even number", num)
continue
print("Found a number", num)
The pass statement does nothing. It can be used when a statement is required syntactically but the program requires no action. For example:
while True:
pass # Busy-wait for keyboard interrupt (Ctrl+C)
This is commonly used for creating minimal classes:
class MyEmptyClass:
pass
Another place pass can be used is as a place-holder for a function or conditional body when you are working on new code, allowing you to keep thinking at a more abstract level. The pass is silently ignored:
def initlog(*args):
pass # Remember to implement this!
Now that you are about to write longer, more complex pieces of Python, it is a good time to talk about coding style. Most languages can be written (or more concise, formatted ) in different styles; some are more readable than others. Making it easy for others to read your code is always a good idea, and adopting a nice coding style helps tremendously for that.
For Python, PEP 8 has emerged as the style guide that most projects adhere to; it promotes a very readable and eye-pleasing coding style. Every Python developer should read it at some point; here are the most important points extracted for you:
- Use 4-space indentation, and no tabs. 4 spaces are a good compromise between small indentation (allows greater nesting depth) and large indentation (easier to read). Tabs introduce confusion, and are best left out.
- Wrap lines so that they don’t exceed 79 characters. This helps users with small displays and makes it possible to have several code files side-by-side on larger displays.
- Use blank lines to separate functions and classes, and larger blocks of code inside functions.
- When possible, put comments on a line of their own.
- Use docstrings.
- Use spaces around operators and after commas, but not directly inside bracketing constructs: a = f(1, 2) + g(3, 4).
- Name your classes and functions consistently; the convention is to use CamelCase for classes and lower_case_with_underscores for functions and methods. Always use self as the name for the first method argument (see A First Look at Classes for more on classes and methods).
- Don’t use fancy encodings if your code is meant to be used in international environments. Python’s default, UTF-8, or even plain ASCII work best in any case.
- Likewise, don’t use non-ASCII characters in identifiers if there is only the slightest chance people speaking a different language will read or maintain the code.
Credits
Icons made by Freepik from www.flaticon.com is licensed by CC 3.0 BY
All information was supplied from official Python documentation.


50+ Someone Keeps Logging Into My Psn Account Background. For playstation 4 on the playstation 4, a gamefaqs message board topic titled so, someone stole my psn account.. Haven't logged in online in psn for like a week nor do i use my psn log in anywhere else.
But it was russian psn support, maybe in your country they wor never, i use random letter combos, and then write them down in a book that i keep. How are people just getting into psn accounts like that? Note the restrictions in the article.
Select 'account settings' from the dropdown menu.
Want to know who logged into your psn account. Luckily i have my bank purchase history and. I saw an unknown device had logged in so i did 5 step verification, now i keep getting codes sent to my phone. How do save files work in this.


library(tidyverse)
library(cowplot)
library(broom)
library(modelr)
library(viridis)
library(lubridate)
library(hms)
library(knitr)
library(kableExtra)
knitr::opts_chunk$set(tidy.opts=list(width.cutoff=60),tidy=TRUE, echo = TRUE, message=FALSE, warning=FALSE, fig.align="center")
This is my computational lab notebook. As of 2019 it mostly deals with work related to the bacterium Pseudomonas aeruginosa, which looks like this:
The notebook is built from Rmarkdown notebooks (I highly recommend) that are “knit” into html files.
The notebook is currently organized as the ‘labwork’ github repository that is cloned on several devices. The main folders are the following:
IDA brings you to the electrochemical work. The acronym refers to the Interdigitated Electrode Array, which is a microelectrode that I have used extensively during my PhD to study microbial phenazines.
FRAP brings you to a set of photobleaching experiments conducted Summer 2019 to independently estimate diffusion coefficients for the phenazine pyocyanin.
Figures brings you to the folder where I generated most of the figures for the phenazine paper. Many of these notebooks did not make it into nice html form, so look on the github directly for the comprehensive set.
These links will take you to READMEs that display links to the html files generated from Rmarkdown notebooks. Note, that not all analyses make it into final, polished html form, so some entries may look totally unformated or may only be .rmd files that exist in the github repository. This is particularly true for the ‘Figures’ folder at this point.
I hope that one day this repository will evolve into an organized place where almost all of my important scientific information can live. That would include protocols and ideas as well as a comprehensive set of processing and analysis notebooks for experiments. One datatype that this format does not work particularly well for is sets of images, but we’ll just have to keep thinking about that one. This project was certainly inspired by Griffin Chure’s notebooks, which I was first introduced to in Justin Bois’ Data Analysis course at Caltech (2018).
Here’s a list of all html files in the notebook.
library(htmltools)
base_path = "https://scott-saunders.github.io/labwork/"
files <- dir(path = ".", pattern = "*\\.html$", include.dirs = T,
recursive = T)
for (link in files) {
print(tags$a(href = paste(base_path, link, sep = ""), link))
writeLines("")
}
Figures/02_05_19_draft_2/code/02_05_19_fig_1_draft_2.html
Figures/02_05_19_draft_2/code/02_05_19_fig_2_draft_2.html
Figures/02_05_19_draft_2/code/02_05_19_supp_swv_gc_calibration.html
Figures/02_05_19_draft_2/code/02_17_19_derivations.html
Figures/2019_09_27_group_meeting/2019_09_27_group_meeting_figs.html
Figures/draft1/2018_11_01_figure1.nb.html
Figures/draft1/2018_11_01_figure2.html
Figures/draft1/2018_11_01_figure2.nb.html
Figures/draft1/2018_11_01_figure3.nb.html
Figures/draft1/2018_11_01_figure4.nb.html
Figures/random/gganimate_sandbox.html
Figures/Spectroscopy_first_look.nb.html
Figures/supplement/code/03_11_19_supplement_LC-MS_controls.html
Figures/supplement/code/03_19_19_supplement_Dap_analysis.html
Figures/supplement/code/03_19_19_supplement_Dm_analysis.html
Figures/supplement/code/03_19_19_supplement_Dm_analysis.nb.html
Figures/supplement/code/03_19_19_supplement_Dphys_analysis.html
FRAP/05_30_19/05_30_19_PYO_FRAP_analysis_2.html
FRAP/06_10_19_glycerol/06_10_19_PYO_FRAP_glycerol_analysis.html
FRAP/06_13_19_glycerol_2/06_13_19_PYO_FRAP_glycerol_2_analysis.html
FRAP/06_13_19_glycerol_2/06_20_19_brms_sandbox.html
FRAP/06_13_19_glycerol_2/06_20_19_brms_sandbox.nb.html
HPLC/07_23_19_Colonies/PI_EtBr_colony_HPLC/analysis/2019_07_23_PI_EtBr_colonies_analysis.html
HPLC/07_23_19_Colonies/TOTO1_measurements/analysis/07_23_19_WT_toto1_brms.html
HPLC/07_23_19_Colonies/TOTO1_measurements/analysis/07_23_19_WT_toto1_measurements.html
HPLC/2019_10_22/2019_10_22_colony_etbr_dnase_analysis.html
HPLC/analysis/2018_10_30_Notebook_colonyHPLC.html
HPLC/analysis/2018_10_30_Notebook_colonyHPLC.nb.html
IDA/01_03_19_Update/Dap_V1.html
IDA/01_03_19_Update/Dap_V2.html
IDA/01_03_19_Update/Dap_V3.html
IDA/01_03_19_Update/index.html
IDA/01_08_19_psoralen_nonequil/Analysis/01_08_19_psoralen_nonequil_Dap_analysis.html
IDA/01_08_19_psoralen_nonequil/Processing/01_08_19_psoralen_nonequil_processing.html
IDA/01_08_19_psoralen_nonequil/README.html
IDA/01_17_19_psoralen_nonequil_2/Analysis/01_17_19_psoralen_nonequil_2_Dap_analysis.html
IDA/01_17_19_psoralen_nonequil_2/Analysis/01_17_19_psoralen_nonequil_2_Dm_analysis.html
IDA/01_17_19_psoralen_nonequil_2/Processing/01_17_19_psoralen_nonequil_2_Dap_processing.html
IDA/01_17_19_psoralen_nonequil_2/README.html
IDA/01_23_19_psoralen_nonequil_3/Analysis/01_21_19_analysis_psoralen_toxicity.html
IDA/01_23_19_psoralen_nonequil_3/Analysis/01_23_19_psoralen_nonequil_3_Dap_analysis.html
IDA/01_23_19_psoralen_nonequil_3/Processing/01_23_19_processing_psoralen_nonequil_3.html
IDA/01_23_19_psoralen_nonequil_3/README.html
IDA/01_28_19_psoralen_nonequil_aggregate/Analysis/01_28_19_psoralen_nonequil_aggregate_analysis.html
IDA/01_28_19_psoralen_nonequil_aggregate/README.html
IDA/06_04_19_agarose_PYO/Processing/06_04_19_agarose_PYO_processing.html
IDA/06_04_19_agarose_PYO/README.html
IDA/06_06_19_agarose_PYO_2/Processing/06_06_19_agarose_PYO_2_processing.html
IDA/06_06_19_agarose_PYO_2/README.html
IDA/08_13_19_agarose_ctDNA/analysis/08_13_19_agarose_ctDNA_analysis.html
IDA/08_13_19_agarose_ctDNA/processing/08_13_19_agarose_ctDNA_processing.html
IDA/08_13_19_agarose_ctDNA/README.html
IDA/08_15_19_agarose_glycerol/analysis/08_15_19_agarose_glycerol_analysis.html
IDA/08_15_19_agarose_glycerol/processing/08_15_19_agarose_glycerol_processing.html
IDA/09_09_19_dphz_etbr/analysis/09_09_19_dphz_etbr_analysis.html
IDA/09_09_19_dphz_etbr/processing/09_09_19_dphz_etbr_processing.html
IDA/09_11_18_DapEstimation.html
IDA/11_28_18_blank_IDA/Analysis/11_28_18_blank_IDA_Analysis.html
IDA/12_04_18_psoralen_biofilm/Analysis/11_29_18_psoralen_crosslinking_analysis.html
IDA/12_04_18_psoralen_biofilm/Analysis/12_04_18_psoralen_Analysis.html
IDA/12_10_18/Analysis/12_10_18_Analysis.html
IDA/12_10_18/Analysis/generating_and_decoding_diffusion.html
IDA/diffusion_modeling_11_17_18.nb.html
IDA/Dm/03_04_19_finite_psource_diffusion.html
IDA/Dm/03_05_19_finite_diffusion_SWVdata.html
IDA/tools/09_05_19_sandbox.html
IDA/tools/09_13_19_sandbox.html
IDA/tools/09_13_19_sandbox.nb.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/demo.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/index.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/plugin/markdown/example.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/plugin/notes-server/notes.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/plugin/notes/notes.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/test/test-markdown-element-attributes.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/test/test-markdown-slide-attributes.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/test/test-markdown.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/test/test-pdf.html
IDA/tools/pres_test_files/reveal.js-<IP_ADDRESS>/test/test.html
IDA/tools/test/2019_09_28_sandbox.html
potentialStep_Dap_09_16_18.html
Spectroscopy/08_07_19_biofilm_Ru_Rh/analysis/08_07_19_spectroscopy_biofilm_Ru_Rh.html
Spectroscopy/08_29_19_biofilm2/analysis/08_29_19_biofilm_spectroscopy_analysis.html
Spectroscopy/08_29_19_biofilm2/analysis/2019_09_27_spectroscopy_curve_fitting.html
Spectroscopy/2019_09_17_solution_ET/2019_09_17_solution_ET_analysis_2.html
Spectroscopy/2019_09_17_solution_ET/2019_09_17_solution_ET_analysis.html
Spectroscopy/2019_09_24_redox_DNA_binding/2019_09_17_phzRedOx_DNAbinding_analysis.html
Spectroscopy/2019_10_09_PHZred_ctDNA/2019_10_09_PHZred_ctDNA_analysis.html
Spectroscopy/2019_10_18_solution_ET_ctDNA/2019_10_18_solution_ET_ctDNA_analysis.html
Spectroscopy/2019_11_13_phz_ET_vs_O2/2019_11_13_phz_ET_vs_O2_analysis.html
Spectroscopy/2019_11_22_wt_dphz_eDNA/2019_11_22_wt_dphz_eDNA_analysis.html


This module allows you to create various tables, both static and editable.
Parent directive that sets the table up.
Used on thead
to make it sticky
Used inside thead
to layout headings for
the columns. You can have multiple rows and use
rowSpan
on th
elements if you
want to create some complex heading for your table.
Used inside tr[tuiThGroup]
to style heading
cells.
Sets up a group of data. You can have multiple
tbody
inside your table.
Used inside tbody
to layout cells.
A cell directive to be placed in tr
of
tbody
. Use it on th
if you
want to make a sticky column
Used to define template for heading for particular key
Goes inside tr
element inside
thead
Used to define template for a row
Used to define template for cell for particular key
Goes inside tr
element
Import TuiTableModule
into a module where you
want to use our component
Add to the template:


ndmg.timeseries package¶
Submodules¶
ndmg.timeseries.timeseries module¶
-
class
ndmg.timeseries.timeseries.
timeseries
¶ Bases:
object
-
load_timeseries
(timeseries_file)¶ A function to load timeseries data. Exists to standardize formatting in case changes are made with how timeseries are saved in future versions.
Positional Arguments
timeseries_file: the file to load timeseries data from.
-
roi_timeseries
(func_file, label_file, roits_file=None)¶ Function to extract average timeseries for the voxels in each roi of the labelled atlas. Returns the roi timeseries as a numpy.ndarray.
Positional Arguments
- func_file:
- the path to the 4d volume to extract timeseries
- label_file:
- the path to the labelled atlas containing labels
- for the voxels in the fmri image
- roits_file:
- the path to where the roi timeseries will be saved. If
None, don’t save and just return the roi_timeseries.
-
voxel_timeseries
(func_file, mask_file, voxel_file=None)¶ Function to extract timeseries for the voxels in the provided mask. Returns the voxel timeseries as a numpy.ndarray.
Positional Arguments
- func_file:
- the path to the fmri 4d volume to extract timeseries.
can be string, nifti1image, or ndarray
- mask_file:
- the path to the binary mask the user wants to extract
voxel timeseries over. Can be string, nifti1image, or ndarray
- voxel_file:
- the path to the voxel timeseries to be created.
Must be string. If None, don’t save and just return the voxel timeseries.
-


DC Shares the First Glimpse of Doomsday Clock #12
by Jim JohnsonReaders anticipating the long-awaited Doomsday Clock #12 have gotten their first look at the upcoming issue.
DC shared a pair of tweets showcasing a sneak peek at Gary Frank and Brad Anderson's art from the series' upcoming final issue. The first features the return of the Rorschach -- presumably Reggie Long, the second Rorschach -- who was seen last issue escaping from Arkham Asylum. The clearly identifiable shadow of Batman also appears in the panel.
The shadow of another familiar figure is visible next to Batman's, and the silhouette appears to also be that of Rorschach. Exactly how this scenario unfolds remains unclear - does the original Rorschach somehow return for the series finale, or is this another one of Reggie's visions?
Click the button below to start this article in quick view.
The second tweet features an image of the aforementioned Batman descending from the skies from what appears to be the Batplane. The Dark Knight was seen last issue trying to stop the deployment of a nuclear weapon on the eve of global war in the DC Universe.
The issue brings the two-year-long series to a close. Doomsday Clock #11 was published in September. The first issue was released in November 2017. Doomsday Clock #12, by Geoff Johns, Frank, Anderson and Rob Leigh, goes on sale December 18.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2Comicshttps://www.cbr.com/category/comics/ListItem3Comic Newshttps://www.cbr.com/category/comics/news/ListItem4DC Shares the First Glimpse of Doomsday Clock #12https://www.cbr.com/dc-comics-doomsday-clock-12-first-look/


After installation is complete, you must activate your software, using a code found on your CD envelope or emailed to you. It is easiest if you have an internet connection during the activation process.
Activation
Online
First, go the About tab and press the Activate Online button. On the next screen, enter your activation code. Then press Next. You will be asked to enter your name, your organization and your email address. After you press Next again, you will be asked to enter a password, which will be used if you re-activate your software on another computer (see below). You should not use a valuable password, and you should write it down in your software manual or another place where you can find it if you need it.
You will also be asked to choose a computer name. This is a name that you make up, and is only used within Stat/Transfer. You should choose a computer name that will clearly identify your computer, such as "Joe's Laptop." This name must be under 32 characters. Each of your computers must have a unique name. Once the computer is activated, you will not be able to change the name.
Finally, when you press Next again, your information will be sent to our server and, if your serial number is valid, the activation information will be written to your computer. Once activation is complete, you must restart Stat/Transfer.
Offline
If your computer is not connected to the internet, you will be offered an activation process by which the program will generate a small file that you can save onto a thumb drive or other portable media. You can then take this to an internet-connected computer and upload it to our website. The server will return another file that you can then save to disk. Then, at your original computer, you can activate your copy by pasting this file into a dialog box brought up by the Install License button on the About dialog box.
Help in Activating the Software
For detailed instructions, please see the Support/Activation section of our website, www.stattransfer.com.
Installing on Additional Computers
The activation process will send a "machine fingerprint" that identifies your particular computer. If you have a single-user license for Stat/Transfer, you are permitted to install it on up to three computers, as long as you are the primary user of the computers (for instance on a home computer, office computer, and a laptop). If you get a new computer, you can deactivate one of the machines and activate on the new computer.
In order to install Stat/Transfer on another machine using the same activation code, you will need to re-activate the software after you install the program on the second machine. The re-activation process will ask you for your old password and asks you to create a new password that identifies your second installation. If you have forgotten or misplaced your old password, you can have it sent to the email address you gave in your initial activation session by clicking on the Forgot your Password? button. Remember to write down both your old and new passwords.


--- title: Breadcrumb category: misc description: Use breadcrumbs to give users a visual indication of they are in the site hierarchy. ---


WoW Cooking Leveling Guide 1-450 | Warcraft Legion
Aug 9, 2009 . WoW Enchanting Guide . WoW Cooking Leveling Guide 1-450 . leveling Fishing up with cooking (and we have a seperate guide for that
http://www.warcraftlegion.com/wow-cooking-guide/
35 Miles from Center
hotels on pensacola beach


Coding Quiz Challenge!
Try to answer the following code-related questions within the time
limit. Keep in mind that incorrect answers will penalize your score/time
by ten seconds.
Time: 75
Try to answer the following code-related questions within the time
limit. Keep in mind that incorrect answers will penalize your score/time
by ten seconds.


Lidl sales soar as big four supermarkets struggle
by Jessica ClarkBudget supermarket Lidl enjoyed soaring sales this autumn, as the big four grocers struggled to keep up with the German discount stores in the lead up to the crucial Christmas trading period.
Lidl was the fastest growing bricks and mortar supermarket in the 12 weeks to 3 November with a sales increase of 8.8 per cent, followed by Aldi with sales growth of 6.7 per cent.
Read more: Lidl ramps up expansion plan
Meanwhile, Morrisons and Asda suffered declining sales of 1.7 per cent and 1.2 per cent respectively.
Sainsbury’s sales dipped 0.2 per cent and Tesco reported a slump of 0.6 per cent, according to the latest data by market research firm Kantar.
Fraser McKevitt, head of retail and consumer insight at Kantar, said: “The UK’s largest supermarket Tesco recently unveiled its new ‘Clubcard Plus’ offer which gives subscribers 10 per cent off two large shops each month.
“Some 1.8m households made at least two trips to the retailer worth £50 or more in the past four weeks, a number Tesco will be looking to boost through its latest initiative.”
Online supermarket Ocado was the fastest growing grocer with sales up 13.5 per cent compared to last year.
Overall supermarket sales growth slowed in the last 12 weeks compared to the previous year as shoppers were discouraged by wet weather and political uncertainty.
Consumers have already started to prepare for the festive season, with £17m spent on mince pies and £3m spent on Christmas puddings so far this year.
McKevitt added: “With many supermarkets already unveiling their festive advertising campaigns, the starting gun has been fired on the race to be Christmas number one.
Read more: Tesco CEO Dave Lewis quits
“It should come as no surprise to see the grocers jostling for position early – with the average household expected to spend more than £380 on groceries during December.
“In total, shoppers will spend nearly £11bn in that month alone, showing how it’s a crucial period for retailers.”
Main image credit: Getty


WITNESS LIST Transportation Committee January 23, 2002-1:30P Interim charges On: Bass, James (Texas Department of Transportation) Behrens, Michael (Texas Department of Transportation) Clanton, Coy (Department of Public Safety) Fulton, David (Texas Department of Transportation) Ralls, Mary Lou (Texas Department of Transportation) Randall, Jim (Texas Department of Transportation) Redwine, Augustin (Comptroller's Office) Reid, Spencer (General Land Office/Governor's Task Force on Homeland Security) Richardson, Herbert (Texas Transportation Institute) Saenz, Amadeo (Texas Department of Transportation)


Reports of the Faculty of Science and Engineering, Saga University. Mathematics
- Reports of the Faculty of Science and Engineering, Saga University. Mathematics, vol. 36 (2007)
- Reports of the Faculty of Science and Engineering, Saga University. Mathematics, vol. 35 (2006)
- Reports of the Faculty of Science and Engineering, Saga University. Mathematics, vol. 34 (2005)
- Reports of the Faculty of Science and Engineering, Saga University. Mathematics, vol. 33 (2004)
- Reports of the Faculty of Science and Engineering, Saga University. Mathematics, vol. 32 (2003)
- Reports of the Faculty of Science and Engineering, Saga University. Mathematics, vol. 31 (2002)
- Reports of the Faculty of Science and Engineering, Saga University. Mathematics, vol. 30 (2001)


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/help.20with.20travis.html ---
Hmm, a strange error:
> lean --make . > lean --make test > lean --recursive --export=mathlib.txt <unknown>:1:1: error: invalid object declaration, environment already has an object named 'category_theory.limits.category_theory.limits.has_limits._proof_1'
How come it doesn't complain with lean --make
?
Is this that two files, which are never imported in the same place, have the same named definition? And this isn't detected until the last run of lean?
(Doesn't matter too much, there was an instance that should have been a def anyway, that should solve this.)
Is this that two files, which are never imported in the same place, have the same named definition? And this isn't detected until the last run of lean?
That's right
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Halo: Reach is coming to PC on December 3rd
It’s the first of many Halo games that are coming to PC soon
by Tom WarrenMicrosoft revealed earlier this year that it’s bringing its classic Halo game collection to PC, and adding Halo: Reach to the entire Halo: The Master Chief Collection. While the company has been running beta tests for Halo: Reach on PC in recent months, it’s now arriving on PC on December 3rd.
Microsoft is taking its time to get Halo on PC right, and that means games will appear in stages. Halo: Reach is the first, and the rest will follow in chronological order. Microsoft is also tweaking the games to include field of view sliders and make sure the mouse and keyboard controls feel good.
All six games in Halo: The Master Chief Collection can now be purchased in a bundle on Steam or through the Microsoft Store for $39.99, and Halo: Reach will be available separately for $9.99 if you don’t want to wait for the full collection to launch on PC. This full Halo collection is also part of Xbox Game Pass.


i = 0
for path in paths:
for record in Reader(path, proto, compression_type=compression_type):
i += 1
if max_records is not None and i > max_records:
return
i = 0
for path in paths:
with Reader(path, proto, compression_type=compression_type) as reader:
for record in reader.iterate():
i += 1
if max_records is not None and i > max_records:


Part of Relations
makeCEPH(id, sire, dam)
| id | character vector with unique identifier for an individual |
|---|---|
| sire | character vector with unique identifier for an
individual's father ( |
| dam | character vector with unique identifier for an
individual's mother ( |
List of lists: {fields: id, {subfields: parents, pgp, mgp}}. Pedigree information converted into a CEPH-style list. The top level list elements are the IDs from id. Below each ID is a list of three elements: parents (sire, dam), paternal grandparents (pgp: sire, dam), and maternal grandparents (mgp: sire, dam).
Creates a CEPH-style pedigree for each id, consisting of three generations: the id, the parents, and the grandparents. Inserts NA for unknown pedigree members.
Calculates the first-order relationships in a pedigree, and to convert pairwise kinships to the appropriate relationship category. Relationships categories: For each ID in the pair, find a CEPH-style pedigree and compare them
If one is the parent of the other
--- Designate the relationship as parent-offspring
Else if both parents are shared
--- Designate the relationship as full-siblings
Else if one parent is shared
--- Designate the relationship as half-siblings
Else if one is the grandparent of the other
--- Designate the relationship as grandparent-grandchild
Else if both grand parents are shared
--- Designate the relationship as cousin
Else if at least one grand parent is shared
--- Designate the relationship as cousin - other
Else if the parents of one are the grandparents of the other
--- Designate the relationship as full-avuncular
Else if a single parent of one is the grandparent of the other
--- Designate the relationship as avuncular - other
Else if the kinship is greater than 0, but the pair don't fall into
the above categories
--- Designate the relationship as other
Else
--- Designate the relationships as no relation.
# \donttest{ library(nprcgenekeepr) ped <- nprcgenekeepr::lacy1989Ped pedCEPH <- makeCEPH(ped$id, ped$sire, ped$dam) head(ped)#> id sire dam gen population #> 1 A <NA> <NA> 0 TRUE #> 2 B <NA> <NA> 0 TRUE #> 3 C A B 1 TRUE #> 4 D A B 1 TRUE #> 5 E <NA> <NA> 0 TRUE #> 6 F D E 2 TRUE#> $parents #> [1] "D" "E" #> #> $pgp #> [1] "A" "B" #> #> $mgp #> [1] NA NA #># }


email_framework module
- class email_framework.s_email
Bases:
object
A class that defines the email parameters.An email is sent when a new account is created, new job application is submitted, or a status change in application. It takes in the company_name, location, job_Profile, salary, username, password,email, security_question, security_answer, notes, date_applied, status, In this format, the email is sent from
- email_framework.status_change_email(application_id, email, status)
Send email for any change in status of application
- Parameters
application_id – an ID is created when you sent a job application. That is used here.
email – Your email ID mentioned in the job application will be notified.
status – The status of your application change to “In Review”, “Interview”, “Offered”, “Rejected”, “No Longer under consideration”


THE CROSSING GUARD A film review by Steve Rhodes Copyright 1995 Steve Rhodes
RATING (0 TO ****): *
THE CROSSING GUARD is a movie written, directed, and co-produced by Sean Penn. Penn has done this all once before in a movie call THE INDIAN RUNNER (1991) which I have never seen. I hope it is not as flawed as this mess of a movie.
THE CROSSING GUARD starts with a support group for people who have had relatives killed by drunk drivers. In the group is Mary Gale (Anjelica Huston) since her then seven year old daughter Emile was killed five years earlier. Mary is a real estate agent who now lives with her two young boys about age seven and her new husband. Her old husband and the father of Emile and the two boys is Freddy Gale (Jack Nicholson).
  John Booth, name chosen for obvious reasons, is scheduled to get out the day the movie starts since he has just finished serving his five years for manslaughter for killing Emile with his car while drunk.
What Penn's script attempts to do is to turn the world upside down. The actual killer, Booth, is shown as a shy, tender, and compassionate man full of great guilt who thinks he may deserve to die. Penn creates him as a totally sympathetic character where as the victim's father and hence a victim himself as well, is a sleaze bag and a degenerate who has never even visited his own daughter's grave. Hence, the bad guy is the good and vice versa. In short, it doesn't work.
The whole movie is about Freddy planning on killing John. Both Freddy and John and everyone else in the movie are aware of Freddy's plans from almost the beginning. Whether Freddy does or not kill him, you will find you do not care in the least since none of the characters are believable. John was written so sweet he is in danger of having a diabetic attack, and Freddy is so evil you keep wanting a truck to run over him.
Jack Nicholson is a brilliant actor that is wasted in this movie. The scene of him drunk and crying on the phone in the bathroom is the low point of a dismal movie. Penn has Nicholson in the whispering mode with many of his lines. What effect this is supposed to create I could never figure out.
The dialog is so bad it almost gets funny.  I don't want to wake my parents." Later John muses to his girlfriend about his impending death, "Freedom is overrated." In the worse piece of script we have John asking his girlfriend, "What is guilt? Can you define it?" She looks very serious and thinks for what seems forever and then answers, "Want to dance?"
The movie is full of strong imagery. In one of the more striking, we have John Booth with his arms outstretched Christ like chanting "come on, come on" waiting for Freddy to arrive and do him in. John's ridiculous image was enhanced by his wearing dark glasses in a darken trailer. From there we cut to the scene of Freddy crying in the bathroom.
The cinematography by Vilmos Zsigmond is quite pedantic. We have superfluous slow motion shots to call our attention to obvious points. We have fast pans with hand held cameras to get us dizzy. Finally we have lots of night scenes filmed in a medium shade of black.
THE CROSSING GUARD runs on and on at 1:57, and I was foolish enough to have seen every minute of it. For some reason I was curious as to the ending. Don't be; it isn't worth it. The film is rated R for lots of sleazy nudity, alcoholism, some violence, bad language, and sex. I would just as soon everybody stayed away from it, but it would be acceptable for mature teenagers if they really wanted to see it. I give the movie a big thumbs down and award it a single star for at least trying hard.
**** = One of the top few films of this or any year. A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show.  Totally unbearable.
REVIEW WRITTEN ON: December 27, 1995
Opinions expressed are mine and not meant to reflect my employer's.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Tutorials
This is a page that I will hopefully keep up to date with a list of tutorials from around the web that are useful on different topics. Wikipedia is often the first search engine result for any new topic, but it rarely provides a didactic explanation on the topic. Tutorials and lectures written by people for the sake of teaching the material are usually far more useful. Hopefully, these will provide that.
Introduction to RKHS, and Kernel Algorithms
Arthur Greton’s Tutorial: Provides an intuitive and formal introduction to kernel methods. For an exhaustive overview: see here
Principal Component Analysis (PCA)
Jon Shlens’ Tutorial: Provides an intuitive and formal introduction to PCA.
Independent Component Analysis (ICA)
Gentle Intro to ICA: Provides an intuitive introduction to ICA.
Lagrange Multipliers
Lagrange Multiplers without Permanent Scarring: Dan Klein’s basic introduction/intuitions for Lagrange Multipliers.
Conjugate Gradients
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain: Jonathan Schewchuk’s tutorial that explains “the most prominent iterative method for solving sparse systems of linear equations” with “sixty-six illustrations”. Humorous throughout :)
Measure Theory
Measure Theory for Dummies: There are a number of great texts that do measure theory justice. This is not one of them. Rather this is a hacky way to get the basic ideas down so you can read through research papers and follow what’s going on.
Play with Graphs
Amit Agarwal’s Play with Graphs: A visual introduction to graphs. Intended for high-school level students.
Add a tutorial. Note: Please include (at least) the topic title, a URL, and a short description (phrase or sentence) about the tutorial.


Module: MachOShim Private
Overview
This module is part of a private API. This module may only be used in the Homebrew/brew repository. Third parties should avoid using this module if possible, as it may be removed or changed without warning.
Pathname extension for dealing with Mach-O files.
Instance Method Summary collapse
-
#arch ⇒ Object
private
-
#archs ⇒ Object
private
-
#change_dylib_id(id, **options) ⇒ Object
private
-
#change_install_name(old, new, **options) ⇒ Object
private
-
#change_rpath(old, new, **options) ⇒ Object
private
-
#delete_rpath(rpath, **options) ⇒ Object
private
-
#dylib? ⇒ Boolean
private
-
#dynamically_linked_libraries(except: :none, resolve_variable_references: true) ⇒ Object
private
-
#i386? ⇒ Boolean
private
-
#mach_o_bundle? ⇒ Boolean
private
-
#mach_o_executable? ⇒ Boolean
(also: #binary_executable?)
private
-
#ppc64? ⇒ Boolean
private
-
#ppc7400? ⇒ Boolean
private
-
#resolve_rpath(name) ⇒ Object
private
-
#resolve_variable_name(name, resolve_rpaths: true) ⇒ Object
private
-
#rpaths(resolve_variable_references: true) ⇒ Object
private
-
#universal? ⇒ Boolean
private
-
#x86_64? ⇒ Boolean
private
Instance Method Details
#arch ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
131 132 133 134 135 136 137 |
# File 'os/mac/mach.rb', line 131 def arch case archs.length when 0 then :dunno when 1 then archs.first else :universal end end |
#archs ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
127 128 129 |
# File 'os/mac/mach.rb', line 127 def archs mach_data.map { |m| m.fetch :arch } end |
#change_dylib_id(id, **options) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
80 81 82 83 |
# File 'os/mac/mach.rb', line 80 def change_dylib_id(id, **) macho.change_dylib_id(id, ) macho.write! end |
#change_install_name(old, new, **options) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
85 86 87 88 |
# File 'os/mac/mach.rb', line 85 def change_install_name(old, new, **) macho.change_install_name(old, new, ) macho.write! end |
#change_rpath(old, new, **options) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
75 76 77 78 |
# File 'os/mac/mach.rb', line 75 def change_rpath(old, new, **) macho.change_rpath(old, new, ) macho.write! end |
#delete_rpath(rpath, **options) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
62 63 64 65 66 67 68 69 70 71 72 73 |
# File 'os/mac/mach.rb', line 62 def delete_rpath(rpath, **) candidates = rpaths(resolve_variable_references: false).select do |r| resolve_variable_name(r) == resolve_variable_name(rpath) end # Delete the last instance to avoid changing the order in which rpaths are searched. rpath_to_delete = candidates.last [:last] = true macho.delete_rpath(rpath_to_delete, ) macho.write! end |
#dylib? ⇒ Boolean
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
159 160 161 |
# File 'os/mac/mach.rb', line 159 def dylib? mach_data.any? { |m| m.fetch(:type) == :dylib } end |
#dynamically_linked_libraries(except: :none, resolve_variable_references: true) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
90 91 92 93 94 95 96 |
# File 'os/mac/mach.rb', line 90 def dynamically_linked_libraries(except: :none, resolve_variable_references: true) lcs = macho.dylib_load_commands.reject { |lc| lc.type == except } names = lcs.map(&:name).map(&:to_s).uniq names.map!(&method(:resolve_variable_name)) if resolve_variable_references names end |
#i386? ⇒ Boolean
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
143 144 145 |
# File 'os/mac/mach.rb', line 143 def i386? arch == :i386 end |
#mach_o_bundle? ⇒ Boolean
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
169 170 171 |
# File 'os/mac/mach.rb', line 169 def mach_o_bundle? mach_data.any? { |m| m.fetch(:type) == :bundle } end |
#mach_o_executable? ⇒ Boolean Also known as: binary_executable?
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
163 164 165 |
# File 'os/mac/mach.rb', line 163 def mach_o_executable? mach_data.any? { |m| m.fetch(:type) == :executable } end |
#ppc64? ⇒ Boolean
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
155 156 157 |
# File 'os/mac/mach.rb', line 155 def ppc64? arch == :ppc64 end |
#ppc7400? ⇒ Boolean
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
151 152 153 |
# File 'os/mac/mach.rb', line 151 def ppc7400? arch == :ppc7400 end |
#resolve_rpath(name) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
118 119 120 121 122 123 124 125 |
# File 'os/mac/mach.rb', line 118 def resolve_rpath(name) target = T.let(nil, T.nilable(String)) return unless rpaths(resolve_variable_references: true).find do |rpath| File.exist?(target = File.join(rpath, name.delete_prefix("@rpath"))) end target end |
#resolve_variable_name(name, resolve_rpaths: true) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
106 107 108 109 110 111 112 113 114 115 116 |
# File 'os/mac/mach.rb', line 106 def resolve_variable_name(name, resolve_rpaths: true) if name.start_with? "@loader_path" Pathname(name.sub("@loader_path", dirname)).cleanpath.to_s elsif name.start_with?("@executable_path") && binary_executable? Pathname(name.sub("@executable_path", dirname)).cleanpath.to_s elsif resolve_rpaths && name.start_with?("@rpath") && (target = resolve_rpath(name)).present? target else name end end |
#rpaths(resolve_variable_references: true) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
98 99 100 101 102 103 104 |
# File 'os/mac/mach.rb', line 98 def rpaths(resolve_variable_references: true) names = macho.rpaths # Don't recursively resolve rpaths to avoid infinite loops. names.map! { |name| resolve_variable_name(name, resolve_rpaths: false) } if resolve_variable_references names end |
#universal? ⇒ Boolean
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
139 140 141 |
# File 'os/mac/mach.rb', line 139 def universal? arch == :universal end |
#x86_64? ⇒ Boolean
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
147 148 149 |
# File 'os/mac/mach.rb', line 147 def x86_64? arch == :x86_64 end |


{% extends 'base.html' %} {% load static %} {% block content %} {% for message in messages %}
|
Order Status
{{order.status}}
|
Order ID
#{{order.id}}
|
Payment
COD
|
Delivery Address
{{order.address}}
|
| {{order.ordereditems}} |
| Contact: {{order.phone}} |
|
Subtotal
|
₹{{order.totalamount}}
|
|
Discount
|
N.A
|
|
Total
|
₹{{order.totalamount}}
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