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indicates that the result of each parameter-expr must be a value v for which ( parameter? v ) returns true.

@ secref [ "Notation_for_Function_Documentation"
#:doc ' (lib "scribblings/reference/reference.scrbl") ]
@ secref [ "Notation_for_Function_Documentation"
#:doc ' (lib "scribblings/reference/reference.scrbl") ]

Procedures and other values are described using a notation based on contract s. In essence, these contracts describe the interfaces of the documented library using Racket predicates and expressions.

For example, the following is the header of the definition of a typical procedure:

The function being defined, Magaw Printed Silksatin Twill Wideleg Pants Green Mary Katrantzou Footaction Cheap Price Sale Sunshine Buy Cheap Best Wholesale Online Store D74WqL6S
, is typeset as if it were being applied. The metavariables that come after the function name stand in for arguments. The white text in the corner identifies the kind of value that is being documented.

Each metavariable is described with a contract. In the preceding example, the metavariable char has the contract ruffle bib shirt Yellow amp; Orange The Gigi Cheap Pre Order JrJvdO
. This contract specifies that any argument char that answers true to the char? predicate is valid. The documented function may or may not actually check this property, but the contract signals the intent of the implementer.

The contract on the right of the arrow, exact-integer? in this case, specifies the expected result that is produced by the function.

Contract specifications can be more expressive than just names of predicates. Consider the following header for Buy Cheap Get To Buy ButtonFront TwoPocket Metallic FloralJacquard Coat Dries Van Noten Outlet Popular Cheapest Cheap Price Free Shipping Low Price Fee Shipping 100% Guaranteed For Sale vIdo5AMR4

The contract ( -> High Rise Channel Seam Skinny Jeans Teras 3x1 From China Cheap Wide Range Of Visit New Clearance Great Deals 1vheK
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) denotes a function contract specifying that proc ’s argument can be any single value and the result should be a real number. The contract ( and/c Salvatore Ferragamo Wool Rib Knit Sweater Many Colors Cheap Sale Release Dates Sale Real Explore Newest Cheap Price tQAYG9vNr
list? ) for lst specifies that lst should pass both pair? and list? (i.e., that it is a non-empty list).

Default parameter values are evaluated from left to right when the function definition is executed. This means that the expression is evaluated once, when the function is defined, and that the same “pre-computed” value is used for each call. This is especially important to understand when a default parameter is a mutable object, such as a list or a dictionary: if the function modifies the object (e.g. by appending an item to a list), the default value is in effect modified. This is generally not what was intended. A way around this is to use None as the default, and explicitly test for it in the body of the function, e.g.:

Default parameter values are evaluated from left to right when the function definition is executed.

Function call semantics are described in more detail in section Calls . A function call always assigns values to all parameters mentioned in the parameter list, either from position arguments, from keyword arguments, or from default values. If the form “ *identifier ” is present, it is initialized to a tuple receiving any excess positional parameters, defaulting to the empty tuple. If the form “ **identifier ” is present, it is initialized to a new ordered mapping receiving any excess keyword arguments, defaulting to a new empty mapping of the same type. Parameters after “ * ” or “ *identifier ” are keyword-only parameters and may only be passed used keyword arguments.

Parameters may have annotations of the form “ : expression ” following the parameter name. Any parameter may have an annotation even those of the form *identifier or **identifier . Functions may have “return” annotation of the form “ -> expression ” after the parameter list. These annotations can be any valid Python expression. The presence of annotations does not change the semantics of a function. The annotation values are available as values of a dictionary keyed by the parameters’ names in the __annotations__ attribute of the function object. If the annotations import from __future__ is used, annotations are preserved as strings at runtime which enables postponed evaluation. Otherwise, they are evaluated when the function definition is executed. In this case annotations may be evaluated in a different order than they appear in the source code.

It is also possible to create anonymous functions (functions not bound to a name), for immediate use in expressions. This uses lambda expressions, described in section Lambdas . Note that the lambda expression is merely a shorthand for a simplified function definition; a function defined in a “ SmockedSleeve Fitamp;Flare Dress London Times Cheap Shop Offer Sast qivVPZuAsQ
” statement can be passed around or assigned to another name just like a function defined by a lambda expression. The “ Dorthe Fur Trimmed Leather Jacket Womens White Saks Potts Discount Free Shipping Clearance Visit New For Cheap Cheap Online Discount Pre Order Ztwn0qi
” form is actually more powerful since it allows the execution of multiple statements and annotations.

Total RNA samples from the WCE or RNA samples from heavy polysomes were isolated as described above and sent to Roche-NimbleGen (Reykjavik, Iceland) for complete expression array services, including cDNA synthesis, Cy3-cDNA labeling, and hybridization of microarrays according to their standard protocols. Briefly, cDNA was synthesized from 10 μg of RNA, labeled with Cy3, and hybridized to three replicate NimbleGen 1-plex 385K arrays (Cat # A4345001-00-01; NimbleGen) for each RNA sample. Following washing and scanning of the arrays, data was extracted from the scanned image and analyzed for normalized gene expression summary values (CALLS) by quantile normalization and the Robust Multi-array Average (RMA) algorithm [ 34 ] using the NimbleScan software (NimbleGen). ArrayStar 3.0 software (DNASTAR; Madison, WI) was used to analyze the expression data provided by NimbleGen. Mean TE and TE values were calculated for each gene from all nine microarray measurements of HP or T mRNA intensities obtained in the three biological replicates (projects I-III) to obtain the log-log plot in Figure 4 . To calculate mean TE/TE ratios for the purpose of assigning standard errors to the values, the ratios were calculated separately for each project from the mean TE and mean TE values calculated from the three technical replicates for that project, and the resulting TE/TE ratios for each project were averaged. The three mean TE and mean TE values determined in this way from projects I-III were also used to conduct two-tailed Student's t-tests of the significance of differences between mean TE and mean TE values for individual genes.

The microarray data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE25721 .

RNA samples from the WCE or gradient fractions containing HP, LP, or 80S monosomes were isolated as previously described. The level of mRNA for each gene of interest (GOI) relative to the amount of 18S rRNA was quantified by qRT-PCR analysis. Briefly, cDNA was synthesized from 1 μg of RNA using SuperScript™ III First-Strand Synthesis SuperMix (Invitrogen) according to the vendor's recommended protocol. The synthesized first-strand cDNA was diluted 1:10, and 2 μl of the diluted cDNA was used for subsequent real-time PCR amplification using the Stratagene MX3000P and Brilliant II SYBR Green QPCR Master Mix (Stratagene) according to the vendor's instructions. The primers used in qRT-PCR analysis for the mRNAs analyzed in Figure are listed in Table S2 (see Additional file ). The real-time PCR reactions were carried out in triplicate for each cDNA sample to obtain average Ct values. The amount of mRNA in a set of gradient fractions containing HP, LP or 80S species relative to its level in total RNA was determined by first calculating 2, where ΔΔCt = Ct(fraction) - Ct(total), Ct(fraction)= Ct(fraction) - Ct(fraction), and Ct(total) = Ct(total) - Ct(total). Ct(fraction) and Ct(total) are the Ct values determined for the gene of interest in the appropriate gradient fractions or total RNA, respectively; Ct(fraction) and Ct(total) are the corresponding values for 18S rRNA. The resulting 2 values were then multiplied by a factor representing the proportion of the total A units in the gradient found in the appropriate fractions (HP, LP or 80S, respectively). These factors were calculated by integrating the A values from the polysome tracings for the appropriate fractions from multiple independent experiments on WT and mutant (4G) extracts, yielding the following average values: HP = 0.308, HP = 0.114, LP = 0.276, LP = 0.149; 80S = 0.416; 80S = 0.738.

The Arr_conic_traits_2 <RatKernel, AlgKernel, NtTraits> class template is designed for efficient handling of arrangements of bounded conic arcs. The template has three parameters, defined as follows:

The Arr_conic_traits_2 models the ArrangementTraits_2 and ArrangementLandmarkTraits_2 concepts. (It supports the landmark point-location strategy). Its Point_2 type is derived from AlgKernel::Point_2 , while the Curve_2 type represents a bounded, not necessarily x -monotone, conic arc. The X_monotone_curve_2 type is derived from Curve_2 , but its constructors are to be used only by the traits class. You should therefore construct only Curve_2 objects and insert them into the arrangement using the insert() or insert() functions.

Conic arcs can be constructed from full ellipses or by specifying a supporting curve, two endpoints and an orientation. However, several constructors of Curve_2 are available to allow for some special cases, such as circular arcs or line segments. The Curve_2 (and the derived X_monotone_curve_2 ) classes also support basic access functions such as source() , target() and orientation() .

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An arrangement of mixed conic arcs, as constructed in conics.cpp

The following example demonstrates the usage of the various constructors for conic arcs. The resulting arrangement is depicted in Figure 34.15 . Especially noteworthy are the constructor of a circular arc that accepts three points and the constructor that allows specifying approximate endpoints, where the exact endpoints are given explicitly as intersections of the supporting conic with two other conic curves. Also note that as the preconditions required by some of these constructors are rather complicated (see the Reference Manual for the details), a precondition violation does not cause the program to terminate - instead, an invalid arc is created. We can verify the validity of an arc by using the is_valid() method. Needless to say, inserting invalid arcs into an arrangement is not allowed.

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