You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Q:

Extracting the second last line from a table using a specific number followed by an asterisk (e.g. xy.z*)

I'm looking to extract and print a specific line from a table I have in a long log file. It looks something like this: 
 ******************************************************************************
                    XSCALE (VERSION  July 4, 2012)                 4-Jun-2013
 ******************************************************************************

 Author: Wolfgang Kabsch
 Copy licensed until 30-Jun-2013 to
  academic users for non-commercial applications   
 No redistribution.

 ******************************************************************************
                              CONTROL CARDS
 ******************************************************************************

  MAXIMUM_NUMBER_OF_PROCESSORS=16
  RESOLUTION_SHELLS= 20 10 6 4 3 2.5 2.0 1.9 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1 1.0 0.9 0.8
  MINIMUM_I/SIGMA=4.0
  OUTPUT_FILE=fae-ip.ahkl
    INPUT_FILE= /dls/sci-scratch/Sam/FC59251/fr6_1/XDS_ASCII.HKL

 THE DATA COLLECTION STATISTICS REPORTED BELOW ASSUMES:
 SPACE_GROUP_NUMBER=   97
 UNIT_CELL_CONSTANTS=   128.28   128.28   181.47  90.000  90.000  90.000

 ***** 16 EQUIVALENT POSITIONS IN SPACE GROUP # 97 *****

    If x',y',z' is an equivalent position to x,y,z, then
        x'=x*ML(1)+y*ML( 2)+z*ML( 3)+ML( 4)/12.0
        y'=x*ML(5)+y*ML( 6)+z*ML( 7)+ML( 8)/12.0
        z'=x*ML(9)+y*ML(10)+z*ML(11)+ML(12)/12.0

    #    1  2  3  4    5  6  7  8    9 10 11 12 
    1    1  0  0  0    0  1  0  0    0  0  1  0
    2   -1  0  0  0    0 -1  0  0    0  0  1  0
    3   -1  0  0  0    0  1  0  0    0  0 -1  0
    4    1  0  0  0    0 -1  0  0    0  0 -1  0
    5    0  1  0  0    1  0  0  0    0  0 -1  0
    6    0 -1  0  0   -1  0  0  0    0  0 -1  0
    7    0 -1  0  0    1  0  0  0    0  0  1  0
    8    0  1  0  0   -1  0  0  0    0  0  1  0
    9    1  0  0  6    0  1  0  6    0  0  1  6
   10   -1  0  0  6    0 -1  0  6    0  0  1  6
   11   -1  0  0  6    0  1  0  6    0  0 -1  6
   12    1  0  0  6    0 -1  0  6    0  0 -1  6
   13    0  1  0  6    1  0  0  6    0  0 -1  6
   14    0 -1  0  6   -1  0  0  6    0  0 -1  6
   15    0 -1  0  6    1  0  0  6    0  0  1  6
   16    0  1  0  6   -1  0  0  6    0  0  1  6

 ALL DATA SETS WILL BE SCALED TO /dls/sci-scratch/Sam/FC59251/fr6_1/XDS_ASCII.HKL  

 ******************************************************************************
                    READING INPUT REFLECTION DATA FILES
 ******************************************************************************

 DATA    MEAN       REFLECTIONS        INPUT FILE NAME
 SET# INTENSITY  ACCEPTED REJECTED
   1  0.1358E+03  1579957      0  /dls/sci-scratch/Sam/FC59251/fr6_1/XDS_ASCII.HKL  

 ******************************************************************************
           CORRECTION FACTORS AS FUNCTION OF IMAGE NUMBER & RESOLUTION
 ******************************************************************************

 RECIPROCAL CORRECTION FACTORS FOR INPUT DATA SETS MERGED TO
 OUTPUT FILE: fae-ip.ahkl                                       

 THE CALCULATIONS ASSUME         FRIEDEL'S_LAW= TRUE
 TOTAL NUMBER OF CORRECTION FACTORS DEFINED      720
 DEGREES OF FREEDOM OF CHI^2 FIT            357222.9
 CHI^2-VALUE OF FIT OF CORRECTION FACTORS      1.024
 NUMBER OF CYCLES CARRIED OUT                      4

 CORRECTION FACTORS for visual inspection by XDS-Viewer DECAY_001.cbf       
 XMIN=     0.6 XMAX=  1799.3 NXBIN=   36
 YMIN= 0.00049 YMAX= 0.44483 NYBIN=   20
 NUMBER OF REFLECTIONS USED FOR DETERMINING CORRECTION FACTORS     396046

 ******************************************************************************
  CORRECTION FACTORS AS FUNCTION OF X (fast) & Y(slow) IN THE DETECTOR PLANE
 ******************************************************************************

 RECIPROCAL CORRECTION FACTORS FOR INPUT DATA SETS MERGED TO
 OUTPUT FILE: fae-ip.ahkl                                       

 THE CALCULATIONS ASSUME         FRIEDEL'S_LAW= TRUE
 TOTAL NUMBER OF CORRECTION FACTORS DEFINED     7921
 DEGREES OF FREEDOM OF CHI^2 FIT            356720.6
 CHI^2-VALUE OF FIT OF CORRECTION FACTORS      1.023
 NUMBER OF CYCLES CARRIED OUT                      3

 CORRECTION FACTORS for visual inspection by XDS-Viewer MODPIX_001.cbf      
 XMIN=     5.4 XMAX=  2457.6 NXBIN=   89
 YMIN=    40.0 YMAX=  2516.7 NYBIN=   89
 NUMBER OF REFLECTIONS USED FOR DETERMINING CORRECTION FACTORS     396046

 ******************************************************************************
   CORRECTION FACTORS AS FUNCTION OF IMAGE NUMBER & DETECTOR SURFACE POSITION
 ******************************************************************************

 RECIPROCAL CORRECTION FACTORS FOR INPUT DATA SETS MERGED TO
 OUTPUT FILE: fae-ip.ahkl                                       

 THE CALCULATIONS ASSUME         FRIEDEL'S_LAW= TRUE
 TOTAL NUMBER OF CORRECTION FACTORS DEFINED      468
 DEGREES OF FREEDOM OF CHI^2 FIT            357286.9
 CHI^2-VALUE OF FIT OF CORRECTION FACTORS      1.022
 NUMBER OF CYCLES CARRIED OUT                      3

 CORRECTION FACTORS for visual inspection by XDS-Viewer ABSORP_001.cbf      
 XMIN=     0.6 XMAX=  1799.3 NXBIN=   36
 DETECTOR_SURFACE_POSITION=    1232    1278
 DETECTOR_SURFACE_POSITION=    1648    1699
 DETECTOR_SURFACE_POSITION=     815    1699
 DETECTOR_SURFACE_POSITION=     815     858
 DETECTOR_SURFACE_POSITION=    1648     858
 DETECTOR_SURFACE_POSITION=    2174    1673
 DETECTOR_SURFACE_POSITION=    1622    2230
 DETECTOR_SURFACE_POSITION=     841    2230
 DETECTOR_SURFACE_POSITION=     289    1673
 DETECTOR_SURFACE_POSITION=     289     884
 DETECTOR_SURFACE_POSITION=     841     326
 DETECTOR_SURFACE_POSITION=    1622     326
 DETECTOR_SURFACE_POSITION=    2174     884
 NUMBER OF REFLECTIONS USED FOR DETERMINING CORRECTION FACTORS     396046

 ******************************************************************************
    CORRECTION PARAMETERS FOR THE STANDARD ERROR OF REFLECTION INTENSITIES
 ******************************************************************************

 The variance v0(I) of the intensity I obtained from counting statistics is
 replaced by v(I)=a*(v0(I)+b*I^2). The model parameters a, b are chosen to
 minimize the discrepancies between v(I) and the variance estimated from
 sample statistics of symmetry related reflections. This model implicates
 an asymptotic limit ISa=1/SQRT(a*b) for the highest I/Sigma(I) that the
 experimental setup can produce (Diederichs (2010) Acta Cryst D66, 733-740).
 Often the value of ISa is reduced from the initial value ISa0 due to systematic
 errors showing up by comparison with other data sets in the scaling procedure.
 (ISa=ISa0=-1 if v0 is unknown for a data set.)

     a        b          ISa    ISa0   INPUT DATA SET
 1.086E+00  1.420E-03   25.46   29.00 /dls/sci-scratch/Sam/FC59251/fr6_1/XDS_ASCII.HKL  

 FACTOR TO PLACE ALL DATA SETS TO AN APPROXIMATE ABSOLUTE SCALE   0.4178E+04
 (ASSUMING A PROTEIN WITH 50% SOLVENT)

 ******************************************************************************
  STATISTICS OF SCALED OUTPUT DATA SET : fae-ip.ahkl                                       
  FILE TYPE:         XDS_ASCII      MERGE=FALSE          FRIEDEL'S_LAW=TRUE 

       186 OUT OF   1579957 REFLECTIONS REJECTED
   1579771 REFLECTIONS ON OUTPUT FILE 

 ******************************************************************************
 DEFINITIONS:
 R-FACTOR
 observed = (SUM(ABS(I(h,i)-I(h))))/(SUM(I(h,i)))
 expected = expected R-FACTOR derived from Sigma(I)

 COMPARED = number of reflections used for calculating R-FACTOR
 I/SIGMA  = mean of intensity/Sigma(I) of unique reflections
            (after merging symmetry-related observations)
 Sigma(I) = standard deviation of reflection intensity I
            estimated from sample statistics

 R-meas   = redundancy independent R-factor (intensities)
            Diederichs & Karplus (1997), Nature Struct. Biol. 4, 269-275.

 CC(1/2)  = percentage of correlation between intensities from
            random half-datasets. Correlation significant at
            the 0.1% level is marked by an asterisk.
            Karplus & Diederichs (2012), Science 336, 1030-33
 Anomal   = percentage of correlation between random half-sets
  Corr      of anomalous intensity differences. Correlation
            significant at the 0.1% level is marked.
 SigAno   = mean anomalous difference in units of its estimated
            standard deviation (|F(+)-F(-)|/Sigma). F(+), F(-)
            are structure factor estimates obtained from the
            merged intensity observations in each parity class.
  Nano    = Number of unique reflections used to calculate
            Anomal_Corr & SigAno. At least two observations
            for each (+ and -) parity are required.

 SUBSET OF INTENSITY DATA WITH SIGNAL/NOISE >= -3.0 AS FUNCTION OF RESOLUTION
 RESOLUTION     NUMBER OF REFLECTIONS    COMPLETENESS R-FACTOR  R-FACTOR COMPARED I/SIGMA   R-meas  CC(1/2)  Anomal  SigAno   Nano
   LIMIT     OBSERVED  UNIQUE  POSSIBLE     OF DATA   observed  expected                                      Corr

    20.00         557      66        74       89.2%       2.7%      3.0%      557   58.75     2.9%   100.0*    45    1.674      25
    10.00        5018     417       417      100.0%       2.4%      3.1%     5018   75.34     2.6%   100.0*     2    0.812     276
     6.00       18352    1583      1584       99.9%       2.8%      3.3%    18351   65.55     2.9%   100.0*    11*   0.914    1248
     4.00       59691    4640      4640      100.0%       3.2%      3.5%    59690   64.96     3.4%   100.0*     4    0.857    3987
     3.00      112106    8821      8822      100.0%       4.4%      4.4%   112102   50.31     4.6%    99.9*    -3    0.844    7906
     2.50      147954   11023     11023      100.0%       8.7%      8.6%   147954   29.91     9.1%    99.8*     0    0.829   10096
     2.00      332952   24698     24698      100.0%      21.4%     21.6%   332949   14.32    22.3%    99.2*     1    0.804   22992
     1.90      106645    8382      8384      100.0%      56.5%     57.1%   106645    5.63    58.8%    94.7*    -2    0.767    7886
     1.80      138516   10342     10343      100.0%      86.8%     87.0%   138516    3.64    90.2%    87.9*    -2    0.762    9741
     1.70      175117   12897     12899      100.0%     140.0%    140.1%   175116    2.15   145.4%    69.6*    -2    0.732   12188
     1.60      209398   16298     16304      100.0%     206.1%    208.5%   209397    1.35   214.6%    48.9*    -2    0.693   15466
     1.50      273432   20770     20893       99.4%     333.4%    342.1%   273340    0.80   346.9%    23.2*    -1    0.644   19495
     1.40          33      27     27248        0.1%      42.6%    112.7%       12    0.40    60.3%    88.2      0    0.000       0
     1.30           0       0     36205        0.0%     -99.9%    -99.9%        0  -99.00   -99.9%     0.0      0    0.000       0
     1.20           0       0     49238        0.0%     -99.9%    -99.9%        0  -99.00   -99.9%     0.0      0    0.000       0
     1.10           0       0     68746        0.0%     -99.9%    -99.9%        0  -99.00   -99.9%     0.0      0    0.000       0
     1.00           0       0     98884        0.0%     -99.9%    -99.9%        0  -99.00   -99.9%     0.0      0    0.000       0
     0.90           0       0    147505        0.0%     -99.9%    -99.9%        0  -99.00   -99.9%     0.0      0    0.000       0
     0.80           0       0    230396        0.0%     -99.9%    -99.9%        0  -99.00   -99.9%     0.0      0    0.000       0
    total     1579771  119964    778303       15.4%      12.8%     13.1%  1579647   14.33    13.4%    99.9*    -1    0.755  111306

 ========== STATISTICS OF INPUT DATA SET ==========

  R-FACTORS FOR INTENSITIES OF DATA SET /dls/sci-scratch/Sam/FC59251/fr6_1/XDS_ASCII.HKL  

 RESOLUTION   R-FACTOR   R-FACTOR   COMPARED
   LIMIT      observed   expected

    20.00         2.7%       3.0%       557
    10.00         2.4%       3.1%      5018
     6.00         2.8%       3.3%     18351
     4.00         3.2%       3.5%     59690
     3.00         4.4%       4.4%    112102
     2.50         8.7%       8.6%    147954
     2.00        21.4%      21.6%    332949
     1.90        56.5%      57.1%    106645
     1.80        86.8%      87.0%    138516
     1.70       140.0%     140.1%    175116
     1.60       206.1%     208.5%    209397
     1.50       333.4%     342.1%    273340
     1.40        42.6%     112.7%        12
     1.30       -99.9%     -99.9%         0
     1.20       -99.9%     -99.9%         0
     1.10       -99.9%     -99.9%         0
     1.00       -99.9%     -99.9%         0
     0.90       -99.9%     -99.9%         0
     0.80       -99.9%     -99.9%         0
    total        12.8%      13.1%   1579647

 ******************************************************************************
    WILSON STATISTICS OF SCALED DATA SET: fae-ip.ahkl                                       
 ******************************************************************************

 Data is divided into resolution shells and a straight line 
 A - 2*B*SS is fitted to log<I>, where
   RES    = mean resolution (Angstrom) in shell
   SS     = mean of (sin(THETA)/LAMBDA)**2 in shell
   <I>    = mean reflection intensity in shell
   BO     = (A - log<I>)/(2*SS)
    #     = number of reflections in resolution shell

   WILSON LINE (using all data) : A=  14.997 B=  29.252 CORRELATION=  0.99
      #      RES      SS        <I>       log(<I>)       BO
    1667     8.445   0.004  2.3084E+06      14.652      49.2
    2798     5.260   0.009  1.5365E+06      14.245      41.6
    3547     4.106   0.015  2.0110E+06      14.514      16.3
    4147     3.480   0.021  1.2910E+06      14.071      22.4
    4688     3.073   0.026  7.3586E+05      13.509      28.1
    5154     2.781   0.032  4.6124E+05      13.042      30.3
    5568     2.560   0.038  3.1507E+05      12.661      30.6
    5966     2.384   0.044  2.4858E+05      12.424      29.2
    6324     2.240   0.050  1.8968E+05      12.153      28.5
    6707     2.119   0.056  1.3930E+05      11.844      28.3
    7030     2.016   0.062  9.1378E+04      11.423      29.0
    7331     1.926   0.067  5.4413E+04      10.904      30.4
    7664     1.848   0.073  3.5484E+04      10.477      30.9
    7934     1.778   0.079  2.4332E+04      10.100      31.0
    8193     1.716   0.085  1.8373E+04       9.819      30.5
    8466     1.660   0.091  1.4992E+04       9.615      29.7
    8743     1.609   0.097  1.1894E+04       9.384      29.1
    9037     1.562   0.102  9.4284E+03       9.151      28.5
    9001     1.520   0.108  8.3217E+03       9.027      27.6

 HIGHER ORDER MOMENTS OF WILSON DISTRIBUTION OF  CENTRIC DATA
    AS COMPARED WITH THEORETICAL VALUES. (EXPECTED: 1.00)    
      #      RES        <I**2>/      <I**3>/      <I**4>/  
                         3<I>**2     15<I>**3    105<I>**4 

     440     8.445        0.740        0.505        0.294
     442     5.260        0.762        0.733        0.735
     442     4.106        0.888        0.788        0.717
     439     3.480        1.339        1.733        2.278
     438     3.073        1.168        1.259        1.400
     440     2.781        1.215        1.681        2.269
     438     2.560        1.192        1.603        2.405
     450     2.384        1.117        1.031        0.891
     432     2.240        1.214        1.567        2.173
     438     2.119        0.972        0.992        0.933
     445     2.016        1.029        1.019        0.986
     441     1.926        1.603        1.701        1.554
     440     1.848        1.544        1.871        2.076
     436     1.778        0.927        0.661        0.435
     444     1.716        1.134        1.115        1.197
     440     1.660        1.271        1.618        2.890
     436     1.609        1.424        1.045        0.941
     448     1.562        1.794        1.447        1.423
     426     1.520        2.517        1.496        2.099
    8355   overall        1.253        1.255        1.455

 HIGHER ORDER MOMENTS OF WILSON DISTRIBUTION OF ACENTRIC DATA
    AS COMPARED WITH THEORETICAL VALUES. (EXPECTED: 1.00)    
      #      RES        <I**2>/      <I**3>/      <I**4>/  
                         2<I>**2      6<I>**3     24<I>**4 

    1227     8.445        1.322        1.803        2.340
    2356     5.260        1.167        1.420        1.789
    3105     4.106        1.010        1.046        1.100
    3708     3.480        1.055        1.262        1.592
    4250     3.073        0.999        1.083        1.375
    4714     2.781        1.061        1.232        1.591
    5130     2.560        1.049        1.178        1.440
    5516     2.384        1.025        1.117        1.290
    5892     2.240        1.001        1.058        1.230
    6269     2.119        1.060        1.140        1.233
    6585     2.016        1.109        1.344        1.709
    6890     1.926        1.028        1.100        1.222
    7224     1.848        1.060        1.150        1.348
    7498     1.778        1.143        1.309        1.655
    7749     1.716        1.182        1.299        1.549
    8026     1.660        1.286        1.376        1.538
    8307     1.609        1.419        1.481        1.707
    8589     1.562        1.663        1.750        2.119
    8575     1.520        2.271        2.172        5.088
  111610   overall        1.253        1.354        1.804

   ======= CUMULATIVE INTENSITY DISTRIBUTION =======
 DEFINITIONS:
   <I>    = mean reflection intensity
 Na(Z)exp = expected number of acentric reflections with I <= Z*<I>
 Na(Z)obs = observed number of acentric reflections with I <= Z*<I>
 Nc(Z)exp = expected number of  centric reflections with I <= Z*<I>
 Nc(Z)obs = observed number of  centric reflections with I <= Z*<I>

 Nc(Z)obs/Nc(Z)exp versus resolution and Z (0.1-1.0)
      #      RES     0.1   0.2   0.3   0.4   0.5   0.6   0.7   0.8   0.9   1.0

     440     8.445  0.75  0.95  0.98  1.00  0.98  0.99  1.00  1.00  1.02  1.02
     442     5.260  1.18  1.11  1.09  1.09  1.07  1.08  1.08  1.08  1.07  1.06
     442     4.106  0.97  1.01  0.98  0.97  0.96  0.94  0.92  0.91  0.92  0.94
     439     3.480  0.91  0.88  0.91  0.91  0.89  0.90  0.90  0.89  0.89  0.93
     438     3.073  0.92  0.92  0.90  0.93  0.94  0.99  1.02  0.99  0.96  0.96
     440     2.781  0.98  1.01  1.02  1.05  1.04  1.03  1.04  1.02  1.01  1.01
     438     2.560  1.02  1.10  1.05  1.03  1.01  1.03  1.04  1.01  1.04  1.02
     450     2.384  0.78  0.93  0.92  0.93  0.89  0.89  0.92  0.95  0.96  0.95
     432     2.240  0.69  0.82  0.84  0.86  0.91  0.92  0.93  0.94  0.95  0.95
     438     2.119  0.75  0.87  0.95  1.02  1.09  1.09  1.12  1.12  1.10  1.08
     445     2.016  0.86  0.86  0.87  0.90  0.91  0.93  0.98  0.99  1.00  1.00
     441     1.926  0.88  0.79  0.79  0.81  0.82  0.84  0.85  0.85  0.86  0.86
     440     1.848  1.00  0.89  0.85  0.83  0.85  0.85  0.88  0.90  0.90  0.92
     436     1.778  1.03  0.87  0.79  0.79  0.80  0.84  0.85  0.87  0.90  0.92
     444     1.716  1.09  0.85  0.81  0.78  0.80  0.80  0.81  0.81  0.84  0.85
     440     1.660  1.27  1.01  0.93  0.88  0.85  0.84  0.84  0.85  0.88  0.91
     436     1.609  1.34  1.00  0.89  0.83  0.80  0.80  0.80  0.81  0.80  0.83
     448     1.562  1.39  1.09  0.93  0.86  0.81  0.78  0.77  0.79  0.78  0.78
     426     1.520  1.38  1.03  0.88  0.83  0.82  0.80  0.78  0.76  0.75  0.74
    8355   overall  1.01  0.95  0.92  0.91  0.91  0.91  0.92  0.92  0.93  0.93

 Na(Z)obs/Na(Z)exp versus resolution and Z (0.1-1.0)
      #      RES     0.1   0.2   0.3   0.4   0.5   0.6   0.7   0.8   0.9   1.0

    1227     8.445  1.10  1.22  1.21  1.21  1.14  1.10  1.12  1.10  1.11  1.09
    2356     5.260  1.15  1.10  1.09  1.03  1.03  1.03  1.01  1.01  1.01  1.00
    3105     4.106  0.91  0.96  0.99  1.01  1.02  1.00  1.00  0.99  0.99  1.00
    3708     3.480  0.93  0.97  1.00  1.06  1.05  1.04  1.04  1.04  1.04  1.05
    4250     3.073  0.94  1.02  1.01  1.00  1.01  1.00  1.00  1.01  1.02  1.02
    4714     2.781  1.11  1.04  1.02  1.02  1.02  1.01  1.01  1.01  1.00  1.00
    5130     2.560  1.00  1.10  1.06  1.03  1.01  1.02  1.01  1.01  1.01  1.02
    5516     2.384  1.09  1.08  1.05  1.04  1.04  1.02  1.01  1.01  1.01  1.01
    5892     2.240  0.98  0.99  1.00  1.01  1.01  1.01  1.00  1.00  1.00  1.00
    6269     2.119  1.14  1.04  1.02  1.00  1.00  1.00  1.01  1.02  1.02  1.01
    6585     2.016  1.17  1.02  1.01  1.02  1.02  1.03  1.02  1.02  1.02  1.02
    6890     1.926  1.35  1.07  1.00  0.99  1.00  1.01  1.01  1.00  1.00  1.01
    7224     1.848  1.52  1.11  1.01  0.97  0.96  0.98  0.98  0.98  0.98  0.99
    7498     1.778  1.80  1.22  1.03  0.97  0.95  0.94  0.95  0.95  0.95  0.96
    7749     1.716  2.01  1.28  1.07  0.99  0.94  0.92  0.92  0.92  0.93  0.93
    8026     1.660  2.31  1.41  1.13  1.01  0.95  0.92  0.90  0.89  0.89  0.89
    8307     1.609  2.62  1.54  1.19  1.04  0.95  0.90  0.88  0.87  0.86  0.87
    8589     1.562  2.94  1.69  1.29  1.10  1.00  0.93  0.89  0.86  0.85  0.85
    8575     1.520  3.14  1.78  1.34  1.13  1.01  0.93  0.88  0.85  0.83  0.83
  111610   overall  1.73  1.24  1.09  1.03  0.99  0.97  0.96  0.96  0.96  0.96

 List of     33 reflections *NOT* obeying Wilson distribution (Z> 10.0)

   h    k    l     RES      Z     Intensity    Sigma

   72   11   61    1.52   17.34  0.2886E+06  0.2367E+05 "alien"
   67   53    6    1.50   15.85  0.2638E+06  0.1128E+06 "alien"
   35   10   25    3.17   14.39  0.2118E+08  0.2364E+06 "alien"
   46   17   99    1.50   14.16  0.2357E+06  0.9588E+05 "alien"
   34   32    2    2.75   13.44  0.1239E+08  0.1279E+06 "alien"
   79    6   15    1.60   13.10  0.3117E+06  0.2477E+05 "alien"
   61   20   33    1.88   12.54  0.8900E+06  0.3054E+05 "alien"
   44    4   48    2.30   12.38  0.4695E+07  0.6072E+05 "alien"
   66   25   19    1.79   11.89  0.5788E+06  0.2739E+05 "alien"
   66   25   11    1.81   11.88  0.5781E+06  0.2771E+05 "alien"
   60   43   61    1.50   11.77  0.1959E+06  0.9769E+05 "alien"
   72   11   17    1.74   11.64  0.4278E+06  0.2619E+05 "alien"
   80   24   26    1.50   11.41  0.1899E+06  0.9793E+05 "alien"
   41   21   26    2.59   11.09  0.6988E+07  0.7945E+05 "alien"
   44   18   20    2.59   11.08  0.6982E+07  0.7839E+05 "alien"
   23    3   62    2.59   11.06  0.6971E+07  0.9154E+05 "alien"
   69    7   22    1.80   11.06  0.5383E+06  0.2564E+05 "alien"
   73   10   15    1.72   10.98  0.4036E+06  0.2356E+05 "alien"
   70   17   35    1.68   10.96  0.3286E+06  0.2415E+05 "alien"
   57   24   41    1.88   10.91  0.7746E+06  0.2842E+05 "alien"
   82   24    6    1.50   10.74  0.1787E+06  0.1019E+06 "alien"
   69   25   62    1.50   10.67  0.1775E+06  0.8689E+05 "alien"
   24   20   44    2.91   10.45  0.9641E+07  0.1017E+06 "alien"
   66   43    5    1.63   10.37  0.2468E+06  0.2294E+05 "alien"
   81    4   29    1.53   10.36  0.1725E+06  0.2364E+05 "alien"
   60   40   26    1.72   10.32  0.3792E+06  0.2578E+05 "alien"
   39   18   57    2.18   10.24  0.3885E+07  0.5573E+05 "alien"
   70   41   15    1.57   10.19  0.1922E+06  0.2281E+05 "alien"
   55   36   41    1.79   10.16  0.4942E+06  0.2967E+05 "alien"
   37    4   81    1.88   10.15  0.7202E+06  0.3357E+05 "alien"
   56   27    5    2.06   10.14  0.1854E+07  0.3569E+05 "alien"
   44   39   29    2.06   10.09  0.1844E+07  0.3805E+05 "alien"
   65   46   29    1.56   10.06  0.1898E+06  0.2270E+05 "alien"

 List of     33 reflections *NOT* obeying Wilson distribution (sorted by resolution)
 Ice rings could occur at (Angstrom):
 3.897,3.669,3.441, 2.671,2.249,2.072, 1.948,1.918,1.883,1.721

   h    k    l     RES      Z     Intensity    Sigma

   82   24    6    1.50   10.74  0.1787E+06  0.1019E+06
   67   53    6    1.50   15.85  0.2638E+06  0.1128E+06
   80   24   26    1.50   11.41  0.1899E+06  0.9793E+05
   60   43   61    1.50   11.77  0.1959E+06  0.9769E+05
   69   25   62    1.50   10.67  0.1775E+06  0.8689E+05
   46   17   99    1.50   14.16  0.2357E+06  0.9588E+05
   72   11   61    1.52   17.34  0.2886E+06  0.2367E+05
   81    4   29    1.53   10.36  0.1725E+06  0.2364E+05
   65   46   29    1.56   10.06  0.1898E+06  0.2270E+05
   70   41   15    1.57   10.19  0.1922E+06  0.2281E+05
   79    6   15    1.60   13.10  0.3117E+06  0.2477E+05
   66   43    5    1.63   10.37  0.2468E+06  0.2294E+05
   70   17   35    1.68   10.96  0.3286E+06  0.2415E+05
   73   10   15    1.72   10.98  0.4036E+06  0.2356E+05
   60   40   26    1.72   10.32  0.3792E+06  0.2578E+05
   72   11   17    1.74   11.64  0.4278E+06  0.2619E+05
   66   25   19    1.79   11.89  0.5788E+06  0.2739E+05
   55   36   41    1.79   10.16  0.4942E+06  0.2967E+05
   69    7   22    1.80   11.06  0.5383E+06  0.2564E+05
   66   25   11    1.81   11.88  0.5781E+06  0.2771E+05
   61   20   33    1.88   12.54  0.8900E+06  0.3054E+05
   57   24   41    1.88   10.91  0.7746E+06  0.2842E+05
   37    4   81    1.88   10.15  0.7202E+06  0.3357E+05
   56   27    5    2.06   10.14  0.1854E+07  0.3569E+05
   44   39   29    2.06   10.09  0.1844E+07  0.3805E+05
   39   18   57    2.18   10.24  0.3885E+07  0.5573E+05
   44    4   48    2.30   12.38  0.4695E+07  0.6072E+05
   44   18   20    2.59   11.08  0.6982E+07  0.7839E+05
   41   21   26    2.59   11.09  0.6988E+07  0.7945E+05
   23    3   62    2.59   11.06  0.6971E+07  0.9154E+05
   34   32    2    2.75   13.44  0.1239E+08  0.1279E+06
   24   20   44    2.91   10.45  0.9641E+07  0.1017E+06
   35   10   25    3.17   14.39  0.2118E+08  0.2364E+06

 cpu time used by XSCALE       25.9 sec
 elapsed wall-clock time       28.1 sec

I would like to extract the second last line where the 11th column has a number followed by an asterisk (xy.z*). E.g. in this table the line I'm looking for would contain "23.2*" from the 11th column (CC(1/2)). I would like the second last because the last would be the line that starts with total, and this was a lot easier to extract with a simple grep command.
So the expected output for the code in this case would be to print the line: 
1.50      273432   20770     20893       99.4%     333.4%    342.1%   273340    0.80   346.9%    23.2*    -1    0.644   19495

In a different file the second last value in the 11th with an asterisk after may correspond to 1.6 in the first column so the expected output would be:
1.60      216910    5769      5769      100.0%     207.5%    214.7%   216910    1.72   210.4%    26.0*    -3    0.654    5204

And so on for all the different possible positions of the asterisk in the table. 
I've tried using things like grep "[0-9, 0-9, ., 0-9*]" file.name and various other grep and fgrep things but I'm pretty new to this and can't get it to work.
Any help would be greatly appreciated. 
Sam    

A:

GNU sed
(for your updated script)
sed -n '/LIMIT/,/=/{/^\s*\(\S*\s*\)\{10\}[0-9.-]*\*/H;x;s/^.*\n\(.*\n.*\)$/\1/;x;/=/{x;P;q}}' file

.. output is:

     1.50      273432   20770     20893       99.4%     333.4%    342.1%   273340    0.80   346.9%    23.2*    -1    0.644   19495