text:
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text:
July 26, 2017
Just last year, we shared that one billion people around the world use WhatsApp every month. Today, we are excited and proud to share that one billion people around the world use WhatsApp every day to stay in touch with their family and friends.
Whether it's sharing personalized photos and videos, connecting through video calling, or keeping friends updated throughout the day with Status, communicating on WhatsApp has never been easier or more personal. We are humbled that so many people are using these new features to connect with one another in their own special way.
As we celebrate this milestone, we're committed more than ever to bringing you more useful features to enjoy, while delivering the reliability, simplicity, and security you expect with WhatsApp. Thank you for your continued support.

subset: commoncrawl


text:
25104592 Catalytic Converter Scrap Price | South Africa
Car brands:
Body metal:
South Africa - Catalyst buyer's companies AutoCatalyst Market
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Catalytic converters are not just components in your car's exhaust system, they are treasure troves of precious metals waiting to be reclaimed. These metals could be in various combinations, but mostl...
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Catalytic converters serve as essential components in every vehicle. Originating in the mid-20th century and entering mass production by the 1970s, modern vehicles adhere to exhaust emission regulatio...
How much does a catalytic converter cost?
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Catalytic converters were developed in 1950 as a response to environmental pollution issues by the growth of the automotive sector. In the middle of the 1970s, they were already put on to a conveyor t...
What Are Torpedo Catalytic Converters?
Jul 23, 2024
Torpedo catalysts are usually larger units compared to conventional catalytic converters. Usually, these uncommonly shaped catalytic converters come from Ford vehicles and are made for specific Ford c...


text:
Outdated egg!
This is an egg for CHICKEN 3, the unsupported old release. You're almost certainly looking for the CHICKEN 4 version of this egg, if it exists.
If it does not exist, there may be equivalent functionality provided by another egg; have a look at the egg index. Otherwise, please consider porting this egg to the current version of CHICKEN.
The purpose of this extension is to propose a comprehensive and easy-to-remember set of high-order procedures to be used as building blocks for a variety of ad-hoc sequence libraries. It is designed around the conventional notion of a sequence as an ordered set of elements represented by some enumerating algorithm or list- or vector-like data structure.
This library is currently in experimental status and not at all tuned for performance.
This extension supports static linking.
All provided high-order procedures take arguments implementing one of a few abstract "interfaces" to data that serve as parameters for the corresponding generalized algorithm; its specialized version is returned as the result. Each abstract interface provides access to opaque data via a small set of conventional operations; for example, mutable vector-like objects are characterized by a 4-tuple <length, ref, set!, make>. In order for an algorithm parameterized by these four operations to work as expected, all operations should conform to a certain set of requirements, explicitly specified for each interface. In all cases, these requirements are only as strict as needed by the present set of algorithms. As a result, both purely functional (eager and lazy) and side-effect-based implementations of interfaces can be used with most of the algorithms.
To make the resulting collection of high-order procedures easier to remember and use, their names follow the naming convention established by traditional low-order sequence libraries (R5RS, SRFI-1, CommonLisp, ...) The result of run-time parameterization of a high-order procedure can be predicted by "substituting" names of parameters for their "placeholders" in the high-order procedure's name, and guessing at procedure's behavior by the resulting "low-order" name (which may be used to name the result). As a simple example, one can construct a procedure converting strings to vectors as follows:
(define string->vector (%v->%mv v=string mv=vector))
Here, %v->%mv is the name of a high-order procedure and v=string and mv=vector are names of two interfaces of vector-like objects (read-only strings and mutable vectors). Performing a "mental printf" on the right-hand-side names allows one to check that the left-hand-side name is not misleading. In more complex examples, more than one such "printf" may be needed to understand the result:
(%g-remove-%t->%o g=string (t=not-%t t=char-ci) o=list)
Here, "mental printf" gives t=not-char-ci for the inner high-order application and string-remove-not-char-ci->list for the whole thing; the resulting peculiar procedure converts a string to a list after filtering out every character that is not char-ci=? to an explicit argument. If you ever need such a procedure, you'll probably name it something like string-filter-ci->list and use as follows:
(string-filter-ci->list #\m "Metaprogramming") => (#\M #\m #\m)
More realistic example on the same theme is SRFI-1's filter that can be constructed as list-remove-if-not->list:
(define filter (%g-remove-%t->%o g=list t=if-not o=list))
Note, that arguments to our high-order procedures should be given in the exact order suggested by the order of %<interface> placeholders and should have matching <interface>=... names; Scheme knows nothing of these conventions and may not provide enough error-checking to spot invalid procedural arguments before actual use of the result.
Entry format
The body of the specification is organized into entries. Each entry describes one constant or procedure or a group of related constants or procedures. An entry begins with one or more header lines of the form
template category
If category is constant, template gives the name of the constant (global identifier, bound to an interface object). If category is procedure, template gives a template for a call to a procedure, followed, by => and the description of the returned value. We follow the R^nRS convention that if an argument or result name is also the name of the type, than that argument must be of the named type. Additional conventions used in this extension are:
((proc arg ...) obj ...) => res procedure, returning a procedure, returning res template => res[1] | res[2] alternative results template => (values res ...) multiple results (proc [arg[1] [arg[2]]]) procedure with two optional arguments (second or both can be omitted) (proc [arg[1] arg[2]]) procedure with two optional arguments (none or both can be omitted) e, oe, t, x, g, o, a, i, li, v, mv interface objects (tuples conforming to interface specifications) p predicate/pattern/prototype object, as required by t interface src source, as required by g interface dst destination, as required by a and o interfaces out output object, as required by o interface in input object, as required by i interface lin lookahead input object, as required by li interface res accumulator/output result (a, o interfaces) vec vector-like object, as required by v interface mvec mutable vector-like object, as required by mv interface (sub)vector vector or vector subrange (as returned by {{sub}}) (sub)string string or string subrange (as returned by {{sub}})
Although there are dozens of ways to represent sequences and iterative computation, we decided to select only those closely matching traditional list/vector processing algorithms with some support for more esoteric cases involving hidden state and side effects. This extension does not allow for such things as backtracking and does not provide an elegant solution to the fringe comparison problem. The following 11 interfaces represent common abstractions generic enough to build most (but not all) finctions defined in SRFI-1, SRFI-13, and SRFI-43 plus thousands more by combination.
1. Equality (e) 2. Order and Equality (oe) 3. Transformation (x) 4. Test (t) 5. Generator (g) 6. Output (o) 7. Accumulator (a) 8. Input (i) 9. Lookahead Input (li) 10. Vector (v) 11. Mutable Vector (mv)
Interfaces have one- or two-letter abbreviated names used to form names of high-order procedures and interface implementations. Two-letter interfaces (oe, mv, li) are extensions of the corresponding one-letter ones (e, v, i). Extensions conform to all requirements of the "base" interfaces plus some extra requirements of their own.
Equality (e)
The equality interface is the simplest one in our set - it consists of a single two-argument procedure implementing an equivalence relation; that is, it must be symmetric, reflexive, and transitive. In addition, calls to the procedure are expected to be referentially transparent (i.e. return the same result given the same arguments) and have no side effects. The rationale for this requirement is to allow algorithms to calculate equality as many times as needed and expect consistent results.
Equality interfaces can be constructed and de-constructed as follows:
(e-interface eq) => e procedure
Returns a new e interface defined by eq predicate.
((%e=? e) obj[1] obj[2]) => boolean procedure
Returns the equality predicate component of e.
Common e interfaces:
Interface based on predicate Category
e=q eq? constant e=v eqv? constant e=l equal? constant e=number = constant e=char char=? constant e=char-ci char-ci=? constant e=string string=? constant e=string-ci string-ci=? constant
Order and Equality (oe)
The Order and Equality interface is an extension of the Equality interface; in addition to the equivalence procedure, it includes a two-argument procedure implementing a partial ordering relation, compatible with the equivalence relation. This means that the ordering relation must be transitive, irreflexive, and obey the trichotomy law with regard to the equivalence relation. Calls to both procedures are expected to be referentially transparent.
(oe-interface eq less) => oe procedure
Returns a new oe interface defined by eq and less predicates.
((%oe=? oe) obj[1] obj[2]) => boolean procedure
Returns the equality predicate component of oe.
((%oe<? oe) obj[1] obj[2]) => boolean procedure
Returns the ordering predicate component of oe.
((%oe>? oe) obj[1] obj[2]) => boolean procedure ((%oe<=? oe) obj[1] obj[2]) => boolean procedure ((%oe>=? oe) obj[1] obj[2]) => boolean procedure
These procedures return ordering predicates derived from primitive components of oe.
(e=%oe oe) => e procedure
Converts oe interface into e via (e-interface (%oe=? oe)). If an implementation supports "backward compatibility" between oe and e interfaces, this function is an identity.
Common oe interfaces:
Interface based on predicates Category
oe=number = < constant oe=char char=? char<? constant oe=char-ci char-ci=? char-ci<? constant oe=string string=? string<? constant oe=string-ci string-ci=? string-ci<? constant
Transformation (x)
The Transformation interface is a wrapper for a one-argument procedure transforming a value to another value. Transformations are used to build interfaces from interfaces by fusion (mapping over series of produced or consumed values) in cases when the transformation is common enough to be hard-wired into an algorithm instead of being supplied by the caller. Fused transformations can play a role of CommonLisp's :key modifiers. Applications of the transformation procedure are expected to be referentially transparent.
(x-interface f) => x procedure
Returns a new x interface defined by f.
((%x x) obj[1]) => obj[2] procedure
Returns the transformation function component of t.
Common x interfaces:
Interface based on function Category
x=not not constant x=abs abs constant x=add1 (lambda (v) (+ v 1)) constant x=sub1 (lambda (v) (- v 1)) constant x=car car constant x=cdr cdr constant x=integer->char integer->char constant x=char->integer char->integer constant x=upcase char-upcase constant x=downcase char-downcase constant
Test (t)
Test interface is a generalization of testing methods used by search and compare algorithms such as R5RS memq and SRFI-1's find-tail and plays the role of CommonLisp's -if, -if-not, :test, and :test-not conventions.
The Test interface consists of a single two-argument procedure implementing some sort of test of its first "variable" argument (usually coming from a sequence) with respect to its second "fixed" argument (an argument to a sequence algorithm). Calls of the test procedure are expected to be referentially transparent.
(t-interface p) => t procedure
Returns a new t interface defined by p (a predicate). Example:
(define t=memq (t-interface memq)) ;memq matches the requirements for p
((%t? t) vobj fobj) => boolean procedure
Returns the test predicate component of t.
(t=%e e) => t procedure
Converts e interface into t via (t-interface (%e=? e))
(t=not-%t t) => t procedure
Returns a logical complement of t. t=not-%t can be defined as follows:
(define (t=not-%t t) (let ((t? (%t? t))) (t-interface (lambda (v f) (not (t? v f))))))
(t=%x&%t x t) => t procedure
Returns a new t that adds an "input transformation" specified by x to its variable argument. t=%x&%t can be defined as follows:
(define (t=%x&%t x t) (let ((fn (%x x)) (t? (%t? t))) (t-interface (lambda (v f) (t? (fn v) f)))))
t=if constant t=if-not constant
t=if expects that the "fixed" argument is a predicate and applies it to the "variable" argument, returning the result of the application (or its logical complement, in case of t=if-not). They can be defined as follows:
(define t=if (t-interface (lambda (v f) (f v)))) (define t=if-not (t=not-%t t=if))
Other common t interfaces:
Interface based on predicate Category
t=q eq? constant t=v eqv? constant t=l equal? constant t=number = constant t=char char=? constant t=char-ci char-ci=? constant t=string string=? constant t=string-ci string-ci=? constant
Generator (g)
The Generator interface captures the common notion of an algorithm producing a finite series of elements based on some initial "source". A source can be a container (in which case the generator enumerates its content), a value encapsulating initial state for an algorithm that produces alternative solutions (moves in a chess game), or any other object that can be mapped onto a sequence of values.
Generators adhere to the "push" model of output: the internal state of the process of generation is implicit and need not to be reified in a first class form by rewriting of the original algorithm or via call/cc. In this library, algorithms that consume the entire input sequence and fit naturally into the passive filtering/accumulation model are defined as high-order procedures over generators (%g algorithms). Formal criterion for what constitutes a "natural fit" is given in [1] (the algorithm should be closed under cons).
The Generator interface consists of a single three-argument procedure patterned after the traditional fold family of functions (e.g.: SRFI-1's fold and fold-right):
(fold kons knil src) => klist
The generator takes its third argument, src, as its source and "folds" it by feeding each element it produces to its first argument, a cons-like binary procedure kons. This procedure is applied to each subsequent element and the result of a previous such application, if it existed, or the second generator argument, knil. The algorithm behind the process of generation need not to be referentially transparent, but it should not expect that applications of its second argument are referentially transparent, and it should satisfy the fusion law:
For all f, v, x, y, prime, and f', v' such that prime(v) = v', and prime(f (x, y)) = f'(x, prime(y)), the following should hold for fold: prime(fold(f, v)) = fold(f', v')
In practice, these requirements mean that the generator should treat its first two arguments as opaque and is only allowed to apply its second argument once to the same intermediate value of klist. Restricting generators to single-pass mode make them compatible with non-functional ways to consume generated values, such as writing to a file.
(g-interface fold) => g procedure
Returns a new g interface defined by fold.
((%g-fold g) kons knil src) => obj procedure
Returns the fold component of e.
Generators can be built from other, more specific interfaces:
(g=%i i) => g procedure (g=reverse-%i i) => g procedure (g=%v v) => g procedure (g=reverse-%v v) => g procedure
These procedures return a new g interface based on functionality available through i and v interfaces. Reverse variants are produced differently: g=reverse-%i is based on recursive (right) fold, while g=reverse-%v iterates through indices in reverse order.
(g=%g-%x g x) => g[1] procedure
Returns a new g interface defined by mapping x over values produced by g. This operation is known as fusion.
Common g interfaces with sources, description of their output, and more specific interfaces they can be built from:
Interface src generates Cf. Category
g=iota number numbers in [0..N) in increasing order constant g=list list elements (iterative fold) i constant g=reverse-list list elements in reverse order (recursive fold) i constant g=string (sub)string characters v constant g=reverse-string (sub)string characters in reverse order v constant g=vector (sub)vector elements v constant g=reverse-vector (sub)vector elements in reverse order v constant g=port port S-expressions (via read) i constant g=char-port port characters (via read-char) i constant g=file filename S-expressions (via read) constant g=char-file filename characters (via read-char) constant
(sub sequence start [stop]) => subrange procedure
Returns a "subrange" object, distinguishable from strings, vectors and other standard data types except procedures. Subrange objects store the arguments used to construct them and are accepted as valid arguments to vector- and string-based inputs and generators.
Output (o)
The Output interface is complementary to the Generator interface - it provides the exact functionality needed to consume values produced by a generator. The initial output object is created by calling Output's constructor procedure with no arguments or an appropriate "destination" argument (copied verbatim from the invocation of a sequence algorithm). As new elements appear, they are fed to the output's write procedure, patterned after cons. When all elements are consumed, output's result procedure is called to convert the output to the appropriate final form.
Algorithms, using the Output interface, should not expect that applications of the output's write procedure are referentially transparent, so write should not be called more than once with the same output object; the out argument to write should come from the constructor or previous call to write. Restricting the use of outputs to single-pass makes it possible to model side-effect-based output processes such as writing to a file.
Outputs are "passive" in a sense that the internal state of the consumption process exists in a first-class form (an output object, a.k.a. out) and there is no mechanism for the output to stop the generation process before it is over (i.e. to signal the "full" condition). In this library, algorithms that need direct control over one or more data consumers are defined as high-order procedures over outputs (%o algorithms).
(o-interface create write result) => o procedure
Returns a new o interface defined by component procedures.
((%o-create o) [dst]) => out procedure ((%o-write o) obj out) => out procedure ((%o-result o) out) => obj procedure
These procedures return the respective components of o.
Common o interfaces:
Interface dst, default collects via result Category
o=count number, 0 (lambda (e c) (+ 1 c)) a count constant o=sum number, 0 + a sum constant o=product number, 1 * a product constant o=min number, #f min minimum or #f constant o=max number, #f max maximum or #f constant o=list (not accepted), '() cons reverse (FIFO) constant o=reverse-list obj, '() cons the list (LIFO) constant o=port port, (current-output-port) write the port constant o=char-port port, (current-output-port) write-char the port constant o=file filename (required) write the (closed) port constant o=char-file filename (required) write-char the (closed) port constant o=string string, "" display (to string-port) the accumulated string constant
Accumulator (a)
The Accumulator interface captures the common notion of an algorithm consuming a possibly infinite series of elements "unfolded" from some initial value and calculating its result value based on an initial state (created from an optional "destination") and this series. Accumulators may create and populate containers, fill existing containers, calculate sums, products and averages etc.
Accumulators adhere to the "pull" model of output: the internal state of the process of accumulation is implicit and need not to be reified in a first class form by rewriting of the original algorithm or via call/cc. In this library, algorithms that produce a possibly infinite input sequence and fit naturally into the passive scanning/selection model are defined as high-order procedures over accumulators (%a algorithms). A formal criterion for what constitutes a "natural fit" is given in [1] (algorithm should be able to produce tail of every value it produces).
The Accumulator interface consists of a single two-or-three-argument procedure similar to the traditional unfold family of functions (cf.: SRFI-1's unfold and unfold-right):
(unfold dekons klist [dst]) => result
The accumulator is initialized by an optional third argument, dst, taken verbatim from the invocation of a sequence algorithm (usually, it is also the last optional argument there). It continues by unfolding its second argument klist with the help of its first argument dekons, an unary procedure returning zero or two values. Dekons is first applied to the initial value of klist; if it returns two values, the first of them is a new element and second is a new value for klist. When there are no (more) values to get, dekons returns no values.
The algorithm behind the process of accumulation need not to be referentially transparent, but it should not expect that applications of its first argument are referentially transparent, meaning that it cannot apply dekons more than once to the same value of klist. Restricting accumulators to single-pass mode make them compatible with non-functional ways to produce values, such as reading from a file. This is also the rationale behind the choice of dekons over more traditional <knull?, kar, kdr> triple: dekons is able to model no-lookahead producers such as read.
(a-interface unfold) => a procedure
Returns a new a interface defined by unfold.
((%a-unfold a) dekons klist [dst]) => res procedure
Return the unfold component of a.
"Active" Accumulators can be easily built from "passive" Output interfaces. As the outputs they are built from, such accumulators rely on the algorithm caller to guarantee that the input series is finite.
(a=%o o) => a procedure
Convert o interface into a.
Accumulators can be built from mutable vector interfaces:
(a=%mv mv) => a procedure (a=reverse-%mv mv) => a procedure (a=%mv! mv) => a procedure (a=reverse-%mv! mv) => a procedure
These procedures return a new a interface based on functionality available through the mv interface. Non-destructive accumulators, built by a=%mv and a=reverse-%mv do not support a dst arguments; they build new vectors of the appropriate type from scratch. Destructive (!) variants require the caller to supply the dst argument of the appropriate type (vec) to be filled with incoming elements while there is space and elements are coming. Reverse variants iterate through indices in reverse order.
(a=%x-%a x a) => a[1] procedure
Returns a new a interface defined by mapping x over values consumed by a. This operation is known as fusion.
Interface dst, default accumulates via result Category
a=count number, 0 (lambda (e c) (+ 1 c)) a count constant a=sum number, 0 + a sum constant a=product number, 1 * a product constant a=and boolean, #t and; stops early logical "and" constant a=or boolean, #f or; stops early logical "or" constant a=min number, #f min minimum or #f constant a=max number, #f max maximum or #f constant a=list (not accepted), '() cons reverse (FIFO) constant a=reverse-list obj, '() cons the list (LIFO) constant a=port port, (current-output-port) write the port constant a=char-port port, (current-output-port) write-char the port constant a=file filename (required) write the (closed) port constant a=char-file filename (required) write-char the (closed) port constant a=string string, "" display (to string-port) the accumulated string constant
Input (i)
The Input interface is complementary to the Accumulator interface - it provides the exact functionality needed to produce values consumed by an accumulator. Inputs are created explicitly by providing a first-class input object (a.k.a. in) as an argument to a sequence algorithm. Elements are extracted by calling the input's read procedure compatible with Accumulator's dekons (receives an input object and returns zero values or two values: element and new input object). Input ends when the invocation of the input's read procedure returns zero values.
Inputs are "passive" in a sense that the internal state of the production process exists in a first-class form (an input object). Inputs need not to be read to the end; many algorithms consume input elements until some condition is satisfied, and return the "rest" input object to the caller. In this library, algorithms that need direct control over one or more data producers are defined as high-order procedures over inputs (%i algorithms).
(i-interface read) => i procedure
Returns a new i interface defined by read.
((%i-read i) in) => (values) or (values obj in) procedure
Return the read component of i.
Inputs can be built from vector interfaces:
(i=%v v) => i procedure (i=reverse-%v v) => i procedure
These procedures return a new i interface based on functionality available through the v interface. The reverse variant iterates through indices in reverse order.
Common i interfaces:
Interface enumerates Category
i=list a list, ins are cdrs constant i=vector a (sub)vector; ins are subranges constant i=reverse-vector a (sub)vector, backwards ; ins are subranges constant i=string a (sub)string; ins are subranges constant i=reverse-string a (sub)string, backwards; ins are subranges constant i=port a port, via read; in is always the port itself constant i=char-port a port, via read-char; in is always the port itself constant
Lookahead Input (li)
The Lookahead Input interface is an extension of the Input interface. It provides two additional procedures - empty? and peek. The empty? procedure should be a predicate returning non-#f when the next call to read is guaranteed to return an element, and returning #f when read is guaranteed to return no values. The peek procedure should accept an input object and return the first element without actually removing it from the input. Peek guarantees that the same element (in eqv? sense) will be returned by the next call to read. It is possible to test a lookahead stream for emptyness and peek more than once with no intervening read, and the result is guaranteed to be the same. The effect of calling peek on an empty input is undefined.
Lookahead Inputs provide functionality needed by many stop-at-element search algorithms (memq is a good example). An ability to look one element ahead is required by many parsing algoritms working on character or token streams, but not all inputs can provide it; for example, Scheme's standard S-expression parser (read) does not support checking for emptyness and one-element lookahead, while character-oriented input provides both via peek-char.
(li-interface read empty? peek) => li procedure
Returns a new li interface defined by component procedures.
((%li-read li) lin) => (values) or (values obj in) procedure ((%li-empty? li) lin) => boolean procedure ((%li-peek li) lin) => obj procedure
These procedures return the respective components of li.
(i=%li li) => i procedure
Converts a li interface into i via (i-interface (%li-read li)).
Lookahead Inputs can be built from vector interfaces:
(li=%v v) => li procedure (li=reverse-%v v) => li procedure
These procedures return a new li interface based on functionality available through the v interface. The reverse variant iterates through indices in reverse order.
Common li interfaces:
Interface enumerates Category
li=list a list, ins are cdrs constant li=vector a (sub)vector; ins are subranges constant li=string a (sub)string; ins are subranges constant li=char-port a port, via read-char/peek-char; in is always the port itself constant
Vector (v)
The Vector interface generalizes read-only finite sequences supporting random access to elements. Obvious candidates for such generalization are vectors and strings, but other possibilities like random-access files and bit-vectors exist. We will make a distinction between Vectors (implementations of v interface), vectors (all lower case, standard Scheme vectors), and vecs (sequence objects, manipulated through the appropriate Vectors).
Vectors are defined by providing length and ref procedures. The length procedure accepts one argument (a sequence of the appropriate type) and should return a nonnegative exact integer, specifying the upper bound for indexing operations (valid indices go from zero to one less than upper bound). The ref operation should accept two arguments - a sequence and an exact integer in bounds, defined by length, and return an element located at that index. Vectors guarantee that if vecs (sequence objects) are accessed only through v interface, repeated refs to the same location will return the same object (in eqv? sense). This guarantee supports algotrithms that need to access the same location multiple times.
Vectors provide functionality needed by search algorithms requiring indexed access to the sequence (for example, binary-search). Although it is easy to build g, i, and li interfaces from an instance of v interface (and there are procedures for that), Vectors are not considered extensions of Generator or Input/Lookahead Input interfaces, because there are many ways to build "weaker" interfaces from a vector; this library specifies only one of them: enumeration in ascending order of indices.
(v-interface length ref) => v procedure
Returns a new v interface defined by component procedures.
((%v-length v) vec) => n procedure ((%v-ref v) vec n) => obj procedure
These procedures return the respective components of v.
Common v interfaces:
Interface enumerates Category
v=vector a (sub)vector constant v=string a (sub)string constant
Mutable Vector (mv)
The Mutable Vector interface is an extension of the Vector interface. It provides two additional procedures - set! and make. The set! operation should accept three arguments - a sequence, an exact integer in bounds, defined by length, and a new value to store at that index. The return value of set! is unspecified. The make procedure accepts a nonnegative exact integer and an optional initial value and returns a newly allocated sequence of the given length, filled with the initial value. If no initial value were given, the contents of the sequence is not specified.
In addition to Vector's guarantees, Mutable Vectors guarantee that if mvecs (mutable sequence objects) are accessed only through mv interface, a ref to a location will return an object, placed there by the most recent application of set! to that location, or initial value, if no set! calls to that location were made.
(mv-interface length ref set! make) => mv procedure
Returns a new mv interface defined by component procedures.
((%mv-length mv) mvec) => n procedure ((%mv-ref mv) mvec n) => obj procedure ((%mv-set! mv) mvec n obj) => unspecified procedure ((make-%mv mv) n [obj]) => mvec procedure
These procedures return the respective components of mv.
(v=%mv mv) => v procedure
Converts a mv interface into v via (v-interface (%mv-length mv) (%mv-ref mv).
Common mv interfaces:
Interface enumerates Category
mv=vector a (sub)vector constant mv=string a (sub)string constant
((%oe-min oe) x y ...) => x procedure ((%oe-max oe) x y ...) => x procedure
((%v-null? v) x) => boolean procedure ((sub%mv mv) mvec i j) => mvec procedure ((%mv-copy mv) mvec) => mvec procedure ((%mv-fill! mv) mvec e) procedure ((%mv-append mv) mvec ...) => mvec procedure ((%v->%mv v mv) vec) => mvec procedure ((%v->%mv! v mv) vec mvec) procedure ((%mv mv) obj ...) => mvec procedure ((%mv-map! v) xy...->z mvec vec ...) procedure ((%mv-reverse! mv) mvec) procedure ((%v-map->%mv v mv) -> mvec) procedure ((%v-fold-left v) kons knil vec) procedure ((%v-fold-right v) kons knil vec) procedure
((%mv-sort! mv) mvec less) procedure ((%mv-stable-sort! mv) mvec less) procedure
((%a-tabulate a) n i->x [dst]) => res procedure ((%a-iota a) n [start step]) => res procedure ((make-%a a) n x [dst]) => res procedure ((%a a) x ...) => res procedure ((%a* a) x ... dst) => res procedure
((%i-next i) in) => in procedure
Returns a procedure that drops the first element from in and returns in containing the remaining elements. The effect of calling next on an empty input is undefined. %i-next can be defined as follows:
(define (%i-next i) (let ((i-read (%i-read i))) (lambda (in) (call-with-values (lambda () (i-read in)) (lambda (e in1) in1))))) ;2 values expected
((%i->%a i a) src [dst]) => res procedure ((%i-map1->%a i) x->y src [dst]) => res procedure ((%i-map->%a i a) xy...->z src1 src2 ...) => res procedure ((%i-filter-map->%a i a) xy...->z? src1 src2 ...) => res procedure
((%g-length g) src) => n procedure ((%g-for-each g) x->! src) procedure ((%g-last g) src) => obj | #f procedure ((%g-count-%t g t) p src) => n procedure ((%g-last-%t g t) p src) => obj | #f procedure
((%g->%o g o) src [dst]) => res procedure ((%g-append->%o g o) src ...) => res procedure ((%g-append->%o* g o) src ... dst) => res procedure ((%g->%o/%g-splicing g o g1) src [dst]) => res procedure ((%g-map1->%o g o) x->y src [dst]) => res procedure ((%g-map1->o/%g-splicing g o g1) x->y* src [dst]) => res procedure ((%g-remove-%t->%o g t o) p src [dst]) => res procedure ((%g-partition-%t->%o+%o g t o o2) p src [dst1 dst2]) => (values res1 res2) procedure ((%g-filter-map1->%o g o) x->y? src [dst]) => res procedure ((%g-substitute-%t->%o g t o) new p src [dst]) => res procedure
((%i-andmap-%t i t) p src) => obj | #f procedure ((%i-ormap-%t i t) p src) => obj | #f procedure ((%i-andmap i) xy...->b src1 src2 ...) => obj | #f procedure ((%i-ormap i) xy...->b src1 src2 ...) => obj | #f procedure ((%i-tail i) src n) => tail procedure ((%i-ref i) src n) => obj procedure
((%i-take->%a i a) src n [dst]) => res procedure ((%i-take->%a+tail i a) src n [dst]) => (values res tail) procedure ((sub%i->%a i a) src from to [dst]) => res procedure
((%i-find-%t i t) p src) => x | #f procedure ((%li-member-%t li t) p src) => lin | #f procedure ((%li-drop-%t li t) p src) => lin procedure ((%li-position-%t li t) p src) => n | #f procedure ((%li-mismatch-%e li e) p src1 src2) => n | #f procedure ((%li-mismatch li) xy...->b src1 src2 ...) => n | #f procedure
((%li-take-%t->%a li a t) p src [dst]) => res procedure ((%li-take-%t->%a+tail li a t) p src [dst]) => (values res tail) procedure ((%li-take-map->%a li a) x->y src [dst]) => res procedure ((%li-take-map->%a+tail li a) x->y src [dst]) => (values res tail) procedure
[1] Jeremy Gibbons, Graham Hutton and Thorsten Altenkirch (2001). When is a function a fold or an unfold?. In Coalgebraic Methods in Computer Science, April 2001 (Volume 44.1 of Electronic Notes in Theoretical Computer Science). Available online at http://www.cs.nott.ac.uk/~txa/publ/cmcs01.pdf
Copyright (c) Sergei Egorov (2004). All Rights Reserved.
This program is Free Software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU Lesser General Public License [LGPL] for more details.
Sergei Egorov, ported to CHICKEN by felix winkelmann
Version history
- 0.3
- bugfixes in v=string and v=vector by Thomas Chust
- 0.2
- added o=string and a=string [by Thomas Chust]
- 0.1
- initial release, based on Sergei Egorov's implementation


text:
A friend who is also a senior colleague -- and is someone who has reshaped the medieval studies scholarly publishing landscape -- recently sent me an email that included this query:
[Publisher X] has asked me whether I'd be willing to start a new medieval printMy answer was rapid, because the issue is one I ponder frequently:
(and on-line) journal. They've also asked if you'd be interested in joining
me. My first question (aside form the ludicrous exhaustion of editing) is
whether we NEED another journal or whether others perceive such a need. Do
you have any initial responses?
"Reason not the need" would be my first response (isn't there always room for something new?), BUT my second is that if I ever did get involved with a new journal, I'm pretty sure I'd want it to be Open Access and web based. One thing that gets my goat about humanities journals (and humanities publishing more generally) is the large profit margin companies have for publishing them, and the fact that little or none of this comes back to the editors or the contributors.Does anyone else find it galling to have corporations enjoy such profits on scholarship, while also rendering much of it inaccessible via high prices and stingy access policies? Am I just being grouchy?
I think I'm done with publishing $90 books, and I also am not really sure I'd want to edit a journal that costs $200 per year for a subscription.
So, although I do like the idea ... I do have hesitations.


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Here, our research team sheds light on investment opportunities and strategies, along with sharing our thoughts on current events and developments that have implications for our strategies.
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Here, our research team sheds light on investment opportunities and strategies, along with sharing our thoughts on current events and developments that have implications for our strategies.


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Today Google introduced Instant Previews, a new search feature that helps people find information faster by showing a visual preview of each result. Traditionally, elements of the search results like the title, URL, and snippet—the text description in each result—help people determine which results are best for them. Instant Previews achieves the same goal with a visual representation of each page and where the relevant content is, instead of a text description. For our webmaster community, this presents an opportunity to reveal the design of your site and why your page is relevant for a particular query. We'd like to offer some thoughts on how to take advantage of the feature.
First of all, it's important to understand what the new feature does. When someone clicks on the magnifying glass on any result, a zoomed-out snapshot of the underlying page appears to the right of the results. Orange highlights indicate where highly relevant content on the page is, and text call outs show search terms in context.
These elements let people know what to expect if they click on that result, and why it's relevant for their query. Our testing shows that the feature really does help with picking the right result—using Instant Previews makes searchers 5% more likely to be satisfied with the results they click.
Many of you have put a lot of thought and effort into the structure of your sites, the layout of your pages, and the information you provide to visitors. Instant Previews gives people a glimpse into that design and indicates why your pages are relevant to their query. Here are some details about how to make good use of the feature.
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The persistent problem of savers pulling money from their 401(k) plan has grown worse since the financial crisis, heightening concerns about the effectiveness of these plans as a retirement tool.
One in four American workers with a 401(k) or other defined contribution plan tap their retirement account for current expenses, a new study shows. This "leakage" reached $70 billion in 2010, equal to nearly a quarter of all contributions that year.
(MORE: Young Workers with a 401(k) Finally Get Diversified)
Looking only at workers' contributions (excluding employer matching funds), individuals are spending 40% of the money they put away for retirement, reports online financial firm HelloWallet. Among other findings:
- Penalized 401(k) withdrawals increased from $36 billion to almost $60 billion from 2004 to 2010.
- Workers in their 40s are most likely to breach their savings for nonretirement needs.
- 75% of those who cash-out their entire balance do so because of basic money-management problems.
(MORE: How to Dump Your Fee-Filled 401(k))
Money leaks out of 401(k) plans before retirement in three basic ways: hardship withdrawals, loans that do not get repaid and cash-outs when workers switch jobs. All these have the effect of greatly reducing workers' retirement security. Thirty years ago, most workers had a guaranteed pension at retirement; today, the $3.5 trillion in self-directed 401(k) and other defined-contribution plans is the primary retirement account of most Americans.
The issue is so concerning that experts are looking for reasonable alternatives to 401(k) plans. Some believe funds borrowed from a 401(k) should be insured. Workers who borrow from their plan and then lose their job must repay the loan. If they cannot, the loan is in default and treated as a distribution. This not only opens the worker to penalties, it permanently reduces their retirement account. Insurance would guarantee that a laid-off worker with such a loan would not lose their nest egg.
Fidelity found in 2010 that a record 22% of 401(k)-plan participants had a loan outstanding and that the default rate on those loans was skyrocketing. Defaults on 401(k) loans account for up to $37 billion of leakage annually, according to a study from Robert Litan at Brookings and Hal Singer at Navigant Economics.
(MORE: It's Back, not a Moment Too Soon: The 401(k) Match)
The good news is that outstanding 401(k) loans have hit a plateau (though at a high level) as the economy has bottomed and begun to turn up, according to the Employee Benefit Research Institute. Some groups — those under age 25 and over 60 — are doing an especially good job of avoiding these loans. Most loans get repaid but those that do not remain a nagging source of money leaking from the retirement kitty.
Cash-outs are an even bigger source of leakage. Participants who take out money before age 59 and half rather than roll it into another qualified plan, are subject to a 10% penalty and immediate income tax.
All this raises even more questions about 401(k) plans, which in many ways have failed Americans as a primary retirement-savings vehicle. If so much money earmarked for retirement is going to be pulled out early, 401(k) plans would seem to be a terribly inefficient tool. The high costs of leakage point up the value of building and maintaining an emergency fund even before building a nest egg.
MORE: It's Peak Season for Shopping Because You're Depressed


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"I'm looking forward to the next guy who stands in there and doesn't have a head as hard as him so I don't break my hand and I see how that fight turns out. I believe I can top it."
Leonard Garcia's path in life was established early on, as he watched and listened to his father deliver pearls of hard wisdom that would never leave his brain or his heart.
"My dad was a horse trainer, so we had to bring up horses and we watched horses run," said the native of Plainview, Texas. "And I used to think every horse was fast and every horse could run. But my dad would always be like, 'if this horse right here will show you who he is whenever you push him, these are the horses that stand out. That would stick with me as a kid."
And as an adult, as Garcia has compiled a 18-6-1 record over an 11 year career as a professional mixed martial artist that can easily be epitomized by his desire to always push back after being pushed. It's just who he is, game plans be damned, and fight fans love him for it.
"If you get pushed and push back, then people are gonna recognize you for that," said Garcia. "And that would be something I knew my dad would be proud of me for, if I got pushed and then pushed back. So whenever a guy hits me, I want to show him, you know what, you didn't hurt me, but now I'm coming back to hurt you. Sometimes I get in trouble for it, and I get earfuls at the gym, but it's just my nature, and coach (Greg Jackson) always says that. He says we're gonna follow the game plan until you get hit, and then I know who's coming out. Coach has learned to accept it, and I've had to accept it my whole life because that's just all I've ever known."
You could run down the list of action-packed Garcia fights and grow exhausted just from thinking of the wars of attrition he has survived, but when it's all said and done, a hundred years from now when his name is brought up, one fight will be attached to it, his April 2010 battle with "The Korean Zombie", Chan Sung Jung, a bout color commentator Joe Rogan described as "The Fight of the Decade".
"Being part of a fight like that was something special all the way around," said Garcia in the understatement of the century. For 15 minutes at Arco Arena in Sacramento, he and Jung threw all caution to the wind and simply slugged it out. Words simply can't do justice to a fight that may not have been for technical purists, but that appealed to the other 95% of the population for its action, grit, and display of unyielding will. A lot of fighters say that they're willing to stand and trade – but not for three consecutive rounds. And that's what Garcia and Jung did, with the "Bad Boy" from Texas eking out a three round split decision win.
And though there are no world title belts in Garcia's trophy case, the fight is something that he can show to his grandkids with pride one day and say 'this is who I am.' That's heady stuff, and something that sometimes even the most decorated world champions can't claim. It's enough to walk away from the game and say, I've left my mark, but the 31-year old Garcia isn't built like that. His goal – in addition to putting one of those belts around his waist – may be an impossible one…
"Trying to top that," he says without hesitation. "There are guys in the gym who can stand toe-to-toe with me. (Lightweight contender) Cowboy Cerrone's one of them, and he even says 'I'm not gonna sit in there and trade with you.' But every now and again, he'll get in there, he'll plant his heels, and he'll just go. Coach asks us why we do that and why I'm always looking for that and I tell him because there's gonna be another guy like the Korean Zombie, another guy who's going to be able to take everything I've got and keep coming forward, and if I don't have training partners like this to get me ready for that, I won't be able to top it. That fight was great, but I know I can put on a better performance. I broke my hand in the first round of that fight and busted it really, really bad. There were times when I did hesitate to throw it, so I'm looking forward to the next guy who stands in there and doesn't have a head as hard as him so I don't break my hand and I see how that fight turns out. I believe I can top it."
Well, you've got to give him credit for trying, and the fight world will undoubtedly want to see his efforts in doing so, but in the meantime, there's a career to worry about, and just five months after their war for the ages, both Garcia and Jung returned to action at WEC 51 in Broomfield, Colorado. It was less than a triumphant return, as Jung got knocked out by George Roop, and Garcia dropped a split decision to Mark Hominick.
"I feel like I should have taken a little more time off after that fight, and after a war like that, you need a few months off. You need to get back and understand what you just did and give your body the time to heal and rest up," said Garcia. "But of course we're both fighters and we both jumped back into it as soon as we could because that's just in our hearts."
But it wasn't all bad news for this dynamic duo, as both will now be entering the UFC's Octagon following the WEC merge into their sister organization. For Jung, it will be a new experience; for Garcia, it's a homecoming, as he returns this Saturday to the place where he first made his name on the international scene in 2006-07.
"To me it's just the way it's supposed to be," he said. "When I left the UFC, of course I was under the same umbrella (with the WEC), but a lot of people would ask me, 'when are you going back to the UFC?' And I would always tell them that I have so many challenges at 145, why would I jump back up to 155 to get myself in deeper waters when I'm over my neck already. People didn't understand that, but now that we're merged, it's gonna cut back on the explanations, the name of the UFC is a prestigious one, and it's a comeback for me and I'm excited. It's a second chance."
In 2006, Garcia made an instant impression with – what else – a three round brawl; this one in a losing effort at lightweight against Roger Huerta. He would split his next two bouts in the Octagon, submitting Allen Berube and losing a decision to Cole Miller before resurfacing in the WEC, which was purchased by Zuffa.
Garcia, fighting at his optimum weight of 145 pounds, knocked out Hiroyuki Takaya and Jens Pulver in back-to-back bouts in 2008, earning him a shot at Mike Brown's featherweight crown.
"For me, it was a fresh start," said Garcia. "I was dropping down to my natural weight class and I felt like at 145 I was going to be more of a competitor. I wouldn't be fighting bigger guys, and for me it was about making an impact right away. In my mind, what I was thinking going into the first fight (against Takaya) was, okay, now you have to show everybody your skill set at your natural weight class. You're not having to carry around any extra weight, you're not having to eat more than you're used to, you're not having to lift weights or any of that. You're back to square one where you started, so now you have to come in and show 'em why you think you belong here. I felt great again, I feel like my body reacts a lot better at 145, and my natural athleticism comes out a little more. It felt like a new start and that's what it was."
The Texan would lose his shot at the 145-pound belt via submission in March of 2009, and though his subsequent record of 2-2-1 has been spotty and filled with razor-thin decisions, it also includes Fight of the Night bonuses for his win over Jung and his draw with Roop, and when Garcia's name is on the card, it's a clue for all fight fans to tune in.
And tune in they will when he returns to the UFC to take on The Ultimate Fighter 12 semifinalist Nam Phan this Saturday. Will this be the fight in which Garcia tops his performance against the Korean Zombie? Time will tell, but if it doesn't, Garcia has a clue about who he thinks can bring him – and the fight world – up to those heights again.
"I believe that Jose Aldo is the guy I can top that fight with," said Garcia of the UFC featherweight champion. "I believe he's got an amazing chin, great kickboxing, and he's willing to stand with every single person he fights. In order for me to get to that goal I've got to beat a couple more people and work my way up the ladder to get to him. Nobody's found a chink in his armor yet, but it's a matter of time before somebody does, and I'm just gonna be sitting back, climbing my way up the ladder, and I believe that when me and him finally do meet each other, that will be the fight to top all fights."
UFC Store
UFC Unfiltered


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Silicon Engineering Consultants LLC is consist of multi-disciplinary organization tackles with designing, drafting, detailing and 3D modeling. Our main interest area is mainly counted in Architecture, Engineering, and Construction. Our team constantly seek innovative solutions to offer the suitable kind environment as the Mechanical, Electrical, Plumbing, and Fire Engineering are the four most important component for a building.
Mechanical BIM Services
Silicon Engineering Consultants LLC is recognized as one of the expertise mechanical BIM service providers for the mechanical BIM modeling, MEP coordination, and MEP Revit family creation. The team of well-trained and experienced engineers here is closely associated with the stakeholders, facility managers, and owners of the BIM projects so as to share the information with them that is related to the construction simulation and cost estimation of the materials on the set MEP domain.
We accelerate these designs in extraordinary models using a variety of ranges of inputs that are including specified sheets, contract documents, design documents, and set of equipment submissions. While starting the work, the team of engineers assures to validate the design and to ensure the finest performance of it that is related to the constructability, and maintenance. We also help our clients in producing construction documents that are viable for existing and new buildings, also to generate the schedules of the projects too. Thus, having said this get in touch with our team for outsourcing your Mechanical BIM services.
Electrical BIM Services
With the support and expert knowledge that our engineers have, we deliver and offer end-to-end solutions and guidance for electrical BIM services. Owing to the current need and demand in the market, our BIM engineers are specialized in creating the modeling of the conduits, electrical equipment, lighting fixtures, cable trays, communication and data transmission devices, fire alarm system, and network routing, etc. Also, we do share the information in the drawing that completely clashes free with other members like HVAC systems, plumbing systems, structural systems, etc.
We work on the projects and are able to deliver the real-time update on the project and this is only because of the software that is used to generate effective BIM models along with the construction documents like power and lighting, wiring layouts, list of materials, and panel schedules.
Plumbing BIM Services
Silicon Engineering Consultants LLC is the one-stop destination for providing plumbing BIM services to its clients, that one can easily use and facilitate in the form of 3D visualization and that too in all kinds of plumbing related work and elements in the construction of the building. While outsourcing BIM projects with us we and our engineers adhere to work on MEPF services that play a vital role. Without the implementation of MEP BIM services, the entire construction is incomplete. Whether its fabrication drawings, fittings, spool drawings, quantity estimation, etc, we provide all these solutions to our clients.
Here is the list of our Plumbing BIM Services:
- BIM modeling of the sanitary fixture
- 4D scheduling of plumbing equipment
- Drafting services for water supply and distribution plans
- Quantity take-offs
- BIM MEP coordination services
MEP Shop Drawings Services
MEP coordinated shop drawings services is a combined form of 3D rendering that is required for the construction project by integrating all the types of architectural, structural, and civil shop drawings.
A drawing or a set of drawings, that are required for prefabricated components like trusses, joists, elevators, windows, structural steel, cabinets, appliances, etc are produced for and by the contractors, manufacturers, suppliers, and fabricators are called as shop drawings. An MEP shop drawings services are basically the drawn version of the information that is required in the construction documents. Thus, this is an important aspect in the field of MEP services.
MEP BIM Coordination
Silicon Engineering Consultants LLC is a 12+yeare old BIM outsourcing company that offers detailed MEP BIM coordination services, BIM clash detection services, and MEP coordination drawings to the clients globally. We have been working with all the major AEC companies and have been delivering them the work as per their expectations and demand of our clients.
Our ability is to deliver the clash-free BIM coordination services with the formation of excellent designs and validation to help in providing seamless collaboration and coordination for the major of BIM services. We have delivered numerous residential, commercial, and industrial projects that are associated with these services. So, with this said contact us today and outsource your MEP Coordination services with us for 100% accurate and efficient result.
MEPF work as a life-line for a building while we design here with advanced technology. The MEPF Solutions produced by our team is laced with the latest design and sustainable elements that make the design as an efficient and sustainable. Our undertaken project is executed from conceptual design to catering individual requirements of clients. Our team of professionals has the necessary experience and knowledge to elevate the performance and minimize the risk.
Mechanical Engineering Arlington
Mechanical Engineering is the field that especially focuses on the diagram, creation, and task of hardware. Here at Silicon Engineering Consultants LLC, Mechanical Engineering is executed through our prime tool named Computer Aided Design (CAD) to plot and look at the changed mechanical parts of structures, for instance, warming and cooling systems, mechanical instruments, delivering plants and so on. Our every endeavor is by and large methodology in cutting edge way that reaches from illustrating pass on to testing lastly endorsement. Our Mechanical Engineering Services continually come up with various aspect of Mechanical Systems that are given at a greater scale over the globe.
- Control Philosophy Writing
- Ducting and Piping Design
- Equipment Selection
- HVAC Service
- HVAC Load Calculation
- Specific Preparation
- Value Engineering
- Ventilation Calculation
Electrical Engineering Arlington
Electrical Engineering is an area that solely deals with the programming of intensity, equipment, and electromagnetism. Our Electrical Engineering Service is impeccable and praiseworthy. If you are looking for Electrical Structure Designing and their right course of action for electrical systems, right diagrams, and suitable installation then Silicon Engineering Consultants LLC is the place for you. Our team of experienced professionals is thoroughly gifted in their expertise with the potential of doing distinctive designing as per requirement. Being the leader in Electrical Engineer Industry, we have been giving the best results which have satisfied our customer and construct a sound business relationship.
- Electrical Sub Station Layout
- Electrical System Design
- Electrical Load Calculation
- Electrical High and Low Voltage System Design
Plumbing Piping Service Arlington
Plumbing Piping Engineering is one of the primary parts of structures since it is essential for general prosperity, sanitation, and tidiness. Silicon Engineering Consultants LLC gives the specific skill in building, plan, advancement, and testing of channels and piping instruments and their course of action inside the structures. We give diverse Plumbing Piping Engineering Services to nation overseas.Our team has the passionate and committed Engineers and professionals holding a wide variety of common contribution in Architectural, Engineering and Construction Industry. Our team of working specialists whether it is Engineer, Draftsman or Technicians, all have a proficient coordination among them prompts to the viable and created structure in a given project.
- Domestic Water Calculation
- Plumbing Estimation
- Sewage and Vent Pipe Sizing
- Water Demand Calculation
Fire Engineering Arlington
Fire Engineering, for the most part, centers around the confirmation of security of a building from a fire. Fire Engineering is a voluntary way to deal with standard fire well being for a given structure. We are a master Fire Engineering specialist convey the quality solution, project management, and effectively oblige complex hazard factors. Our Fire Engineering Plan and drafting team have an efficient way to deal with addressing the difficulties as looked in all sort of flame building framework plan. The standard of our proficiency raises according to the interest of industry which outline up our key direction, construction standard consistency, particular fire security plan, and risk assessment.
- Fire Hydraulics
- Fire Hydrant Design
- Fire Pipe Sizing
- FM 200 Systems
Each of the projects is handled with a unique approach that meets with only one goal- fulfill customer's requirement. Our main aim is to form the longevity and sustainability of a building. Being slowly moving towards the leading position, Silicon Engineering Consultants LLC has earned proficiency by offering appropriate solutions with finesse. Our familiarity with various codes let us adopt various methodologies and let us design through multiple mediums.
- Best Drafting Standards
- Cost Effective
- Latest Design Tools
- Flexible Solutions
- Ease of Service
- Confidentiality of Client's Data
- Adherence with Standardized Code
- Time Bound Delivery
If you want to know more about our MEPF Services, don't hesitate to get in touch with us at email@example.com.