Button 1, when pressed exits the inner loop. Button 2 when pressed exits the outer loop and the program should stop. I put in a probe at the outer loop terminator and sure enough a TRUE goes to the terminator when I press button 2 but the program does not stop. Apparently, all inner loops must terminate before the outer loop can terminate.

You need to decouple the user interface interaction from the processing, which is most easily done with two parallel loops, one to handle events and one to do your processing. Have a look at producer consumer arcitecture or similar.

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Many comments about R state that using loops is a particularly bad idea. This is not necessarily true. In certain cases, it is difficult to write vectorized code, or vectorized code may consume a huge amount of memory.

The only Answer to the Question posed is; loops are not slow if what you need to do is iterate over a set of data performing some function and that function or the operation is not vectorized. A for() loop will be as quick, in general, as apply(), but possibly a little bit slower than an lapply() call. The last point is well covered on SO, for example in this Answer, and applies if the code involved in setting up and operating the loop is a significant part of the overall computational burden of the loop.

Why many people think for() loops are slow is because they, the user, are writing bad code. In general (though there are several exceptions), if you need to expand/grow an object, that too will involve copying so you have both the overhead of copying and growing the object. This is not just restricted to loops, but if you copy/grow at each iteration of a loop, of course, the loop is going to be slow because you are incurring many copy/grow operations.

The general idiom for using for() loops in R is that you allocate the storage you require before the loop starts, and then fill in the object thus allocated. If you follow that idiom, loops will not be slow. This is what apply() manages for you, but it is just hidden from view.

Ansible offers the loop, with_, and until keywords to execute a task multiple times. Examples of commonly-used loops include changing ownership on several files and/or directories with the file module, creating multiple users with the user module, andrepeating a polling step until a certain result is reached.

For loops can be used in HubL to iterate through sequences of objects. They will most commonly be used with rendering blog content in a listing format, but they can also be used to sort through other sequence variables.

For loops begin with a {% for %} statement and end with an {% endfor %} statement. Within the {% for %} statement a single sequence item is named followed by in and then the name of the sequence. The code between the opening and closing for statements is printed with each iteration, and generally includes the printed variable of the individual sequence item. Below is the basic syntax of a for loop:

Loops can also be nested with loops. The child for loop will run with each iteration of the parent for loop. In the example below, a list of child items is printed in a nested  within a  of parent items.

Hi, I try to read and merge multiple files with slightly different format by using loops. It worked easily with the former xls reader by setting the location as variable: the xls reader extended the database with new columns for the ones that were not in the same format as in the first file.

Comparative protein structure prediction is limited mostly by the errors in alignment and loop modeling. We describe here a new automated modeling technique that significantly improves the accuracy of loop predictions in protein structures. The positions of all nonhydrogen atoms of the loop are optimized in a fixed environment with respect to a pseudo energy function. The energy is a sum of many spatial restraints that include the bond length, bond angle, and improper dihedral angle terms from the CHARMM-22 force field, statistical preferences for the main-chain and side-chain dihedral angles, and statistical preferences for nonbonded atomic contacts that depend on the two atom types, their distance through space, and separation in sequence. The energy function is optimized with the method of conjugate gradients combined with molecular dynamics and simulated annealing. Typically, the predicted loop conformation corresponds to the lowest energy conformation among 500 independent optimizations. Predictions were made for 40 loops of known structure at each length from 1 to 14 residues. The accuracy of loop predictions is evaluated as a function of thoroughness of conformational sampling, loop length, and structural properties of native loops. When accuracy is measured by local superposition of the model on the native loop, 100, 90, and 30% of 4-, 8-, and 12-residue loop predictions, respectively, had

The C++ for loop is much more flexible than for loops found in some other computer languages, including BASIC. Any or all of the three header elements may be omitted, although the semicolons are required. Also the statements for initialization, condition, and increment can be any valid C++ statements with unrelated variables, and use any C++ datatypes including floats. These types of unusual for statements may provide solutions to some rare programming problems.

Two clear, powerful examples of a positive climate feedback loops are happening now in the Arctic. The first is happening on land, where permafrost that holds large amounts of both methane and carbon is thawing because of the climate crisis. The second on the ice and open ocean.

Knowing what you now do about positive climate feedback loops, consider how much faster the climate crisis could accelerate if the Arctic Ocean become ice-free for some or all of the summer. Or as additional permafrost thaws, allowing more and more powerful methane to spill into our atmosphere.

Currently I combine 2 for loops but first all chapters are created and after that the subtitles are created.

Chapter 1 - Chapter 2 - SubTitle 1.1, SubTitle 1.2, SubTitle 2.1, SubTitle 2.2, SubTitle 2.3

The electronics unit transmits energy into the wire loops at frequencies between 10 kHz to 200 kHz, depending on the model. The inductive-loop system behaves as a tuned electrical circuit in which the loop wire and lead-in cable are the inductive elements. When a vehicle passes over the loop or is stopped within the loop, the vehicle induces eddy currents in the wire loops, which decrease their inductance. The decreased inductance actuates the electronics unit output relay or solid-state optically isolated output, which sends a pulse to the controller signifying the passage or presence of a vehicle.

The inductive-loop detector provides a wide range of geometries to the traffic engineer for satisfying diverse traffic signal control applications, as discussed in Chapter 4. The size and the number of turns of a loop or combination of loops, together with the length of the lead-in cable, must produce an inductance value that is compatible with the tuning range of the electronics unit and with other requirements established by the traffic engineer. NEMA standards for inductive-loop detectors (see Appendix J) specify that an electronics unit must be capable of operating satisfactorily over an inductance range of 50 to 700 microhenrys (H). Some units tolerate much larger inductance values, for example, from several loops wired in series. While larger inductance values are technically feasible, NEMA has specified a conservative upper limit to promote practices compatible with all existing electronics units.

The capacitance change due to water can, therefore, result in unstable inductive-loop detector operation. At frequencies of 1 kilohertz (kHz), the capacitance effect is insignificant. At frequencies of 10 kHz or greater, the capacitance effect is important. When loop inductance is measured at 20 kHz or greater, the measurement frequency must be specified since the measured inductance is frequency dependent. A large number of turns on large area loops further increases the loop capacitance and lowers the self-resonant frequency of the loop (i.e., no loop inductance is measured at the loop terminals when the loop is self resonant).

Figure 2-6 also illustrates how different series, parallel, and series-parallel configurations of wire loops affect the resultant loop inductance and its rate of change with frequency. The effect of the connection method on system inductance is discussed further under "Loop System Inductance Calculations," later in this chapter.

The loaded quality factor QL given by Equation 2-13 applies to low loss applications, where the quality factor is large and f, LS, and RS can be readily measured. Inductive-loop detectors used in roadways, on the other hand, are not as adaptable to the above analysis because the inductance is distributed over the loop and lead-in cable and is difficult to measure. Calculation of the quality factor for roadway loops is further complicated by the larger actual resistances of the loop wire and lead-in cable as compared to the series value measured with an Ohm-meter. The extra losses are due to the high frequency excitation and ground currents in the pavement associated with the loop configuration and the roadway environment near the wire. As a result, the Q of an identical wire configuration will vary from location to location.

Figure 2-7 illustrates an inductive-loop system quality factor calculation using Q0 and QP. Tables 2-2 through 2-4 list calculated quality factors for rectangular, quadrupole, and circular inductive loops, respectively, of 1, 2, 3, 4, and 5 turns. Loops are excited at 20 kHz in these tables, with conductor and/or quadrupole lateral spacing of 200 mils. All inductance and quality factors are apparent values (i.e., loop capacitance and resistance are included).

Table 2-5 contains loop-to-pull box lead-in wire inductance, capacitance, and resistance values for two common types of wire. The two lead-in wires from the start and end of the loop turns should be twisted together to form a symmetrically twisted pair from the loop to the pull box. The twisting reduces crosstalk and noise pickup in the lead-in wire. Most manufacturers recommend at least five turns per foot (16.5 turns per meter). The wire twists form small loops along the wire, which alternate in winding direction. An external magnetic field from noise or crosstalk induces voltages in the small loops, which almost cancel, thus reducing interference. The importance of twists in the lead-in wire is discussed further in Chapter 5. 0852c4b9a8

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