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Flow diagram including configure, autoconf and automake , three tools in the GNU Build System

A configure script is an executable script designed to aid in developing a program to be run on a wide number of different computers. It matches the Self tie bow tie from Tieroom Notch MARLON yellow striped base Notch DAq3iSIV6N
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As a common practice, all configure scripts are named "configure". Usually, configure scripts are written for the Bourne shell , but they may be written for execution in any desired shell.


Obtaining software directly from the source code is a common procedure on computers, and generally involves the following three steps: configuring the brass ring platform Deia sandals Pink amp; Purple Tila March VHMwqyti
, compiling the code, and finally installing the executable to standard locations. A configure script accomplishes the first of these steps. Using configure scripts is an automated method of generating makefiles before compilation to tailor the software to the system on which the executable is to be compiled and run. The final executable software is most commonly obtained by executing the following commands in a shell that is currently pointing to the directory containing the source code:

One must type ./configure rather than simply configure to indicate to the shell that the script is in the current directory. By default, for security reasons, operating systems do not search the current directory for executables so one must give the full path explicitly to avoid an error. [1]

Upon its completion, configure prints a report to config.log . Running ./configure --help gives a list of command line arguments, for enabling or disabling additional features such as:

The first line includes the mpfr and gmp libraries. The second line tells to install the final version in /home/myname/apps . The INSTALL file contains instructions should the prescribed steps fail.

Software developers simplify the challenge of cross-platform software development by using GNU's Autotools . [2] These scripts query the system on which they run for environment settings, platform architecture, and the existence and location of required build and runtime dependencies. They store the gathered information in configure.ac or the now deprecated configure.in to be read by configure during the installation phase.

In the experiments with natural selection, the number of individuals per species was much higher than in the experiments without natural selection from time step 10,000 (one-way ANOVA for all considered time steps, P = 0.0001; Tukey post hoc test, P < 0.05; Fig 5 ). Moreover, the results for the Selection and High Dispersal and the Selection and Low Dispersal experiments eventually (from time step 14000) converged toward those obtained for the Selection, Enforced Reproductive Isolation and Low Dispersal experiment (around 55 species with several thousand individuals per species, see Table 3 ). This convergence indicates that the three experiments involving natural selection exhibit the same long-term patterns.

Selection, Enforced Reproductive Isolation and Low Dispersal
Fig 5. The number of individuals per species (logarithmic scale) in the different simulation experiments (blue line, Selection, Enforced Reproductive Isolation and Low Dispersal experiment; red line, Selection and Low Dispersal experiment; green line, Selection and High Dispersal experiment; clay line, Selection and Low Dispersal experiment; magenta line, No Selection and High Dispersal experiment).

The higher stability of Selection in Enforced Reproductive Isolation and Low Dispersal compared to the four other experiments is due to the enforced reproductive isolation.

Selection in Enforced Reproductive Isolation and Low Dispersal


Table 3. Average and standard deviation of the number of species for every experiment.


Moreover, the species abundance distribution patterns observed in the three runs with natural selection follow a Fisher’s logseries ( Fig 6 ). This pattern was also shown in [ 40 ]. Many large species (of more than 10,000 individuals) tend to persist for several thousand time steps showing the stability of these genomic clusters. By contrast, the two experiments without natural selection generate a large number of clusters (around 65,000; Table 3 ) that contain only two or three individuals each. These small clusters tend to persist for only few time steps and have species abundance distribution concentrated in the two first bins (see Fig 6 ), showing that no organization of genotype groups emerged.

Fig 6. Species abundance distribution in different experiments.

(A) Selection, Enforced Reproductive Isolation and Low Dispersal experiment; (B) Selection and Low Dispersal experiment; (C) Selection and High Dispersal experiment; (D)Selection and Low Dispersal experiment; (E) No Selection and High Dispersal experiment.

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Obsessed with the idea of redesigning time. Author of Sprint (2016) and Make Time (coming Sep 2018). Creator of Time Dorks.

On Wednesday, you and your team created a storyboard. On Thursday, you’ll adopt a “fake it” philosophy to turn that storyboard into a prototype. A realistic façade is all you need to test with customers, and here’s the best part: by focusing on the customer-facing surface of your product or service, you can finish your prototype in just one day. Sound crazy? It’s not, and here’s why:

On Thursday, you’ll also make sure everything is ready for Friday’s test by confirming the schedule, reviewing the prototype, and writing an interview script.

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explains the mindset, strategy, and tools that make it possible to build a realistic façade in seven hours. We even provide a “cheat sheet” for selecting the right prototyping tools and formats. In this post, we’re excited to share the checklist for Thursday and a video where Jake and I talk about the prototype mindset, picking the right tools, and prototyping as a team.

If you have questions, check out the Womens 41287 Trainers Xti QCc0y
we hosted during Sprint Week . If you don’t find answers, feel free to tweet us at @GVdesignteam .

Checklist forThursday

10 a.m.

Pick the right tools. Don’t use your everyday tools. They’re optimized for quality. Instead, use tools that are rough, fast, and flexible. (Read more on page 186 in .)

Divide and conquer. Assign roles: Maker, Stitcher, Writer, Asset Collector, and Interviewer. You can also break the storyboard into smaller scenes and assign each to different team members. (p. 187)


1 p.m.


2 p.m.


Stitch it together. With the work split into parts, it’s easy to lose track of the whole. The Stitcher checks for quality and ensures all the pieces make sense together. (p. 189)


Do a trial run. Run through your prototype. Look for mistakes. Make sure the Interviewer and the Decider see it. (p. 189)

Finish up the prototype.

Throughout theDay

Write interview script. The Interviewer prepares for Friday’s test by writing a script. (p. 188)

Remind customers to show up for Friday’s test. Email is good, phone call is better.

Buy gift cards for customers. We usually use $100 gift cards.

Key Ideas

Prototype mindset.
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