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FORM FIT-AND-FUNCTION

  • Form, fit and function
  • Concept in design processes

    Form, Fit, and Function (also F3 or FFF) is a concept used in various industries, including manufacturing, engineering, and architecture, to describe

    Form, fit and function

    Form,_fit_and_function

  • Form follows function
  • Design philosophy of 19th–20th centuries

    Form follows function is a principle of design associated with late 19th- and early 20th-century architecture and industrial design in general, which

    Form follows function

    Form follows function

    Form_follows_function

  • Base 50
  • Type of Honda engine

    motorcycles and power sport machines, it is the most produced engine in history. The engines are usually identical in form, fit and function to Honda 50cc

    Base 50

    Base 50

    Base_50

  • Metal fabrication
  • Creation of metal structures

    Electrical discharge machining Form, fit and function Interchangeable parts Manufacturing engineering "Value-Added And Non-Value Added Process Steps |

    Metal fabrication

    Metal fabrication

    Metal_fabrication

  • F3
  • Topics referred to by the same term

    Nation, a network of free peer-led workouts for men in the U.S. Form, fit and function, an engineering term relating to design processes Formula Three

    F3

    F3

  • PCB reverse engineering
  • but whose original equipment is still in use. In many cases exact form, fit and function is required, either that so parts can “handshake” properly with

    PCB reverse engineering

    PCB_reverse_engineering

  • Curve fitting
  • Process of constructing a curve that has the best fit to a series of data points

    fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints

    Curve fitting

    Curve fitting

    Curve_fitting

  • ARINC
  • American company (1929–2018)

    ARINC 668 Guidance For Tool and Test Equipment (TTE) Equivalency. The 700 Series describes the form, fit, and function of avionics equipment installed

    ARINC

    ARINC

  • Flight recorder
  • Robust aircraft electronic recording device

    Engineering Committee (AEEC). The 700 Series of standards describe the form, fit, and function of avionics equipment installed predominately on transport category

    Flight recorder

    Flight recorder

    Flight_recorder

  • Secondary surveillance radar
  • Radar system used in air traffic control

    Incorporated) is an airline run organisation concerned with the form, fit and function of equipment carried in aircraft. Its main purpose is to ensure

    Secondary surveillance radar

    Secondary surveillance radar

    Secondary_surveillance_radar

  • Tom Balding Bits & Spurs
  • 2012 McFarland, Cynthia. The Horseman's Guide to Tack and Equipment: Form, Fit and Function 2013. pg. 106 Dolhun, Marie Catherine. "Eperons et mors

    Tom Balding Bits & Spurs

    Tom_Balding_Bits_&_Spurs

  • Open Base Station Architecture Initiative
  • Trade association

    a set of standard BTS modules with specified form, fit and function such that BTS vendors can acquire and integrate modules from multiple vendors in an

    Open Base Station Architecture Initiative

    Open_Base_Station_Architecture_Initiative

  • Autodesk Inventor
  • 3D mechanical CAD design software

    validate the form, fit, and functioning before it is built. Autodesk Inventor supports parametric, direct edit, freeform modeling part modeling, and assembly

    Autodesk Inventor

    Autodesk_Inventor

  • Overfitting
  • Flaw in mathematical modelling

    corresponds too closely or exactly to a particular set of data and may therefore fail to fit to additional data or predict future observations reliably.

    Overfitting

    Overfitting

    Overfitting

  • Currying
  • Transforming a function in such a way that it only takes a single argument

    {\displaystyle X} and one from Y , {\displaystyle Y,} and produces objects in Z . {\displaystyle Z.} The curried form of this function treats the first

    Currying

    Currying

  • Environmental stress screening
  • Type of hardware test

    building the same unit or a replacement unit that is intended as a form-fit-and-function replacement for the original unit or unit sub-assembly must be qualified

    Environmental stress screening

    Environmental_stress_screening

  • Error function
  • Sigmoid shape special function

    mathematics, the error function (also called the Gauss error function), often denoted by e r f {\displaystyle \mathbf {erf} } , is the function erf ⁡ ( z ) = 2

    Error function

    Error function

    Error_function

  • Gaussian function
  • Mathematical function

    Gaussian function, often simply referred to as a Gaussian, is a function of the base form f ( x ) = exp ⁡ ( − x 2 ) {\displaystyle f(x)=\exp(-x^{2})} and with

    Gaussian function

    Gaussian_function

  • Discrepancy function
  • discrepancy function is a mathematical function which describes how closely a structural model conforms to observed data; it is a measure of goodness of fit. Larger

    Discrepancy function

    Discrepancy_function

  • Linear least squares
  • Least squares approximation of linear functions to data

    } Here, the functions φ j {\displaystyle \varphi _{j}} may be nonlinear with respect to the variable x. Ideally, the model function fits the data exactly

    Linear least squares

    Linear_least_squares

  • Polynomial and rational function modeling
  • polynomial functions and rational functions are sometimes used as an empirical technique for curve fitting. A polynomial function is one that has the form y =

    Polynomial and rational function modeling

    Polynomial_and_rational_function_modeling

  • Logistic function
  • S-shaped curve

    alternatives also takes the form of a logistic curve. The logistic function is an offset and scaled hyperbolic tangent function: f ( x ) = 1 2 + 1 2 tanh

    Logistic function

    Logistic function

    Logistic_function

  • Kolmogorov–Smirnov test
  • Statistical test comparing two probability distributions

    cumulative distribution functions of the two samples. The Kolmogorov–Smirnov test can be modified to serve as a goodness of fit test. In the special case

    Kolmogorov–Smirnov test

    Kolmogorov–Smirnov test

    Kolmogorov–Smirnov_test

  • Green's function
  • Method of solution to differential equations

    electrodynamics, seismology and statistical field theory, to refer to various types of correlation functions, even those that do not fit the mathematical definition

    Green's function

    Green's function

    Green's_function

  • Polynomial regression
  • Statistics concept

    regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is

    Polynomial regression

    Polynomial regression

    Polynomial_regression

  • Smoothing
  • Fitting an approximating function to data

    related and partially overlapping concept of curve fitting in the following ways: curve fitting often involves the use of an explicit function form for the

    Smoothing

    Smoothing

    Smoothing

  • Motherboard form factor
  • Indication of size and mounting options of a computer or its components

    or server. Its main functions are as follows: To serve as a central backbone to which all other modular parts such as CPU, RAM, and hard drives can be

    Motherboard form factor

    Motherboard form factor

    Motherboard_form_factor

  • Least squares
  • Approximation method in statistics

    method to determine the best-fit model by minimizing the sum of the squared residuals—the differences between observed values and the values predicted by the

    Least squares

    Least squares

    Least_squares

  • Logistic regression
  • Statistical model for a binary dependent variable

    yk) are fitted to a proposed model function of the form y = b 0 + b 1 x {\displaystyle y=b_{0}+b_{1}x} . The fit is obtained by choosing the b parameters

    Logistic regression

    Logistic regression

    Logistic_regression

  • The Hitchhiker's Guide to the Galaxy Primary and Secondary Phases
  • Radio series written by Douglas Adams

    series was broadcast on BBC Radio 4 in March and April 1978. It was split into episodes, known as "Fits" (an archaic term for a section of a poem revived

    The Hitchhiker's Guide to the Galaxy Primary and Secondary Phases

    The_Hitchhiker's_Guide_to_the_Galaxy_Primary_and_Secondary_Phases

  • Linear regression
  • Statistical modeling method

    of fit" in some other norm (as with least absolute deviations regression), or by minimizing a penalized version of the least squares cost function as

    Linear regression

    Linear_regression

  • Window function
  • Function used in signal processing

    signal processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued

    Window function

    Window function

    Window_function

  • Quasi-likelihood
  • Inexact statistical measure

    the log-likelihood function but is not the log-likelihood corresponding to any actual probability distribution. He proposed to fit certain quasi-likelihood

    Quasi-likelihood

    Quasi-likelihood

  • Line chart
  • Type of chart

    overlaid mathematical function depicting the best-fit trend of the scattered data. This layer is referred to as a best-fit layer and the graph containing

    Line chart

    Line chart

    Line_chart

  • Cube root
  • Number whose cube is a given number

    considering the cube root as a multivalued function: if we write the original complex number x in three equivalent forms, namely x = { r exp ⁡ ( i θ ) , r exp

    Cube root

    Cube root

    Cube_root

  • Hash function
  • Mapping arbitrary data to fixed-size values

    A hash function is any function that can be used to map data of arbitrary size to fixed-size values, though there are some hash functions that support

    Hash function

    Hash function

    Hash_function

  • Gompertz function
  • Asymmetric sigmoid function

    logarithm of negative numbers. For this and other reasons it is often impractical to try to fit an inverse Gompertz function to data directly, especially if one

    Gompertz function

    Gompertz_function

  • Item response theory
  • Paradigm for the design, analysis, and scoring of tests

    to an item is a mathematical function of person and item parameters. (The expression "a mathematical function of person and item parameters" is analogous

    Item response theory

    Item_response_theory

  • Taylor's law
  • Empirical law on the variance of species in a habitat

    symmetrical but it can be extended to an asymmetrical form. Using simulations the symmetrical form fits the data when there is positive correlation of disease

    Taylor's law

    Taylor's_law

  • Isotonic regression
  • Type of numerical analysis

    not constrained by any functional form, such as the linearity imposed by linear regression, as long as the function is monotonic increasing. Another application

    Isotonic regression

    Isotonic regression

    Isotonic_regression

  • Wave function
  • Mathematical description of quantum state

    quantum mechanics, wave functions can be added together and multiplied by complex numbers to form new wave functions and form a Hilbert space. The inner

    Wave function

    Wave function

    Wave_function

  • Stretched exponential function
  • Mathematical function common in physics

    exponential function. In most applications, it is meaningful only for arguments t between 0 and +∞. With β = 1, the usual exponential function is recovered

    Stretched exponential function

    Stretched exponential function

    Stretched_exponential_function

  • Coefficient of determination
  • Indicator for how well data points fit a line or curve

    when a non-linear function is used to fit the data. In cases where negative values arise, the mean of the data provides a better fit to the outcomes than

    Coefficient of determination

    Coefficient of determination

    Coefficient_of_determination

  • TempleOS
  • Biblically themed, free and open-source operating system created by Terry A. Davis

    has no network drivers. It is fit for recreational programming. The OS uses 8-bit ASCII text and includes built-in 2D and 3D graphics libraries, running

    TempleOS

    TempleOS

    TempleOS

  • Nonlinear regression
  • Regression analysis

    is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends

    Nonlinear regression

    Nonlinear regression

    Nonlinear_regression

  • Regression analysis
  • Set of statistical processes for estimating the relationships among variables

    the function f ( X i , β ) {\displaystyle f(X_{i},\beta )} that most closely fits the data. To carry out regression analysis, the form of the function f

    Regression analysis

    Regression analysis

    Regression_analysis

  • The Hitchhiker's Guide to the Galaxy Tertiary to Hexagonal Phases
  • Third to sixth series of the radio version of The Hitchhiker's Guide to the Galaxy

    Episodes were subtitled "Fit the Thirteenth" through "Fit the Eighteenth". The third novel was adapted by Dirk Maggs, John Langdon and Bruce Hyman following

    The Hitchhiker's Guide to the Galaxy Tertiary to Hexagonal Phases

    The_Hitchhiker's_Guide_to_the_Galaxy_Tertiary_to_Hexagonal_Phases

  • Empirical distribution function
  • Distribution function associated with the empirical measure of a sample

    goodness-of-fit between the empirical distribution F ^ n ( t ) {\textstyle {\widehat {F}}_{n}(t)} and the assumed true cumulative distribution function F. Other

    Empirical distribution function

    Empirical distribution function

    Empirical_distribution_function

  • Arithmetic function
  • Function whose domain is the positive integers

    arithmetical function "expresses some arithmetical property of n". There is a larger class of number-theoretic functions that do not fit this definition

    Arithmetic function

    Arithmetic_function

  • Crystal Ball function
  • Probability density function

    {2}}}\right)\right)} , with the error function erf. The parameters of the function (that are usually determined by a fit) are: N {\displaystyle N} is a normalization

    Crystal Ball function

    Crystal Ball function

    Crystal_Ball_function

  • Probability distribution
  • Mathematical function for the probability a given outcome occurs in an experiment

    continuous cumulative distribution function. In this case, the cumulative distribution function F {\displaystyle F} has the form F ( x ) = P ( X ≤ x ) = ∫ −

    Probability distribution

    Probability distribution

    Probability_distribution

  • Energy
  • Physical quantity

    work and in the form of heat and light. Energy is a conserved quantity—the law of conservation of energy states that energy can be converted in form, but

    Energy

    Energy

    Energy

  • Generalized linear model
  • Class of statistical models

    usually done: If the response variable is ordinal, then one may fit a model function of the form: g ( μ m ) = η m = β 0 + X 1 β 1 + ⋯ + X p β p + γ 2 + ⋯ +

    Generalized linear model

    Generalized_linear_model

  • Generalization error
  • Measure of algorithm accuracy

    complex functions (known as Tikhonov regularization), or the hypothesis space can be constrained, either explicitly in the form of the functions or by adding

    Generalization error

    Generalization_error

  • Weight function
  • Construct related to weighted sums and averages

    application of a weight function is a weighted sum or weighted average. Weight functions occur frequently in statistics and analysis, and are closely related

    Weight function

    Weight_function

  • Gradient boosting
  • Machine learning technique

    suitable cost function. Explicit regression gradient boosting algorithms were subsequently developed, by Jerome H. Friedman, (in 1999 and later in 2001)

    Gradient boosting

    Gradient_boosting

  • Supervised learning
  • Machine learning paradigm

    algorithm should not attempt to find a function that exactly matches the training examples. Attempting to fit the data too carefully leads to overfitting

    Supervised learning

    Supervised learning

    Supervised_learning

  • Quantile regression
  • Statistical modeling technique

    goes beyond this and is advantageous when conditional quantile functions are of interest. Different measures of central tendency and statistical dispersion

    Quantile regression

    Quantile regression

    Quantile_regression

  • Loss function
  • Mathematical relation assigning a probability event to a cost

    mathematical optimization and decision theory, a loss function or cost function (sometimes also called an error function) is a function that maps an event or

    Loss function

    Loss function

    Loss_function

  • Active site
  • Active region of an enzyme

    the active site and the structure of the substrates. Sometimes enzymes also need to bind with some cofactors to fulfil their function. The active site

    Active site

    Active site

    Active_site

  • Normal distribution
  • Probability distribution

    distribution for a real-valued random variable. The general form of its probability density function is f ( x ) = 1 2 π σ 2 exp ⁡ ( − ( x − μ ) 2 2 σ 2 ) .

    Normal distribution

    Normal distribution

    Normal_distribution

  • Rectified linear unit
  • Type of activation function

    linear unit) activation function is an activation function defined as the non-negative part of its argument, i.e., the ramp function: ReLU ⁡ ( x ) = x + =

    Rectified linear unit

    Rectified linear unit

    Rectified_linear_unit

  • Ackermann function
  • Quickly growing function

    Ackermann function, named after Wilhelm Ackermann, is one of the simplest and earliest-discovered examples of a total computable function that is not

    Ackermann function

    Ackermann_function

  • Logarithm
  • Mathematical function, inverse of an exponential function

    does not change its size. Moving it appropriately, the area fits the graph of the function f(x) = 1/x again. Therefore, the left hand blue area, which

    Logarithm

    Logarithm

    Logarithm

  • Central limit theorem
  • Fundamental theorem in probability theory and statistics

    the function and its approximation grows approximately as a2φ2(n). The idea is that dividing the function by appropriate normalizing functions, and looking

    Central limit theorem

    Central limit theorem

    Central_limit_theorem

  • Anderson–Darling test
  • Statistical test

    population, where the distribution function does not have to be specified. In addition to its use as a test of fit for distributions, it can be used in

    Anderson–Darling test

    Anderson–Darling_test

  • Confirmatory factor analysis
  • Form of statistical factor analysis

    maximum likelihood (ML) case generated by iteratively minimizing the fit function, F M L = ln ⁡ | Λ Ω Λ ′ + I − diag ⁡ ( Λ Ω Λ ′ ) | + tr ⁡ ( R ( Λ Ω Λ

    Confirmatory factor analysis

    Confirmatory_factor_analysis

  • Epithelium
  • Tissue lining the surfaces of organs in animals

    of epithelial cells. Functions of epithelial cells include diffusion, filtration, secretion, selective absorption, germination, and transcellular transport

    Epithelium

    Epithelium

    Epithelium

  • Generalized additive model
  • Statistics models class

    _{0}+f_{1}(x_{1})+f_{2}(x_{2})+\cdots +f_{m}(x_{m}).\,\!} The functions fi may be functions with a specified parametric form (for example a polynomial, or an un-penalized

    Generalized additive model

    Generalized_additive_model

  • Homologous recombination
  • Genetic recombination between identical or highly similar strands of genetic material

    ; Williams, R. Scott (August 2017). "CtIP/Ctp1/Sae2, molecular form fit for function". DNA Repair. 56: 109–117. doi:10.1016/j.dnarep.2017.06.013. PMC 5543718

    Homologous recombination

    Homologous recombination

    Homologous_recombination

  • Transfer length method
  • Transfer length method (a.k.a. Transmission line measurement)

    and B beta = inv(transpose(X)*X)*transpose(X)*R; A = beta(1); B = beta(2); % Define the fitting function d_fit = 0:1:200; R_fit = A*log((r_i.+d_fit)/r_i)

    Transfer length method

    Transfer_length_method

  • Amphiphile
  • Chemical compound with both hydrophilic and lipophilic properties

    are able to self-assemble to form a wide range of supramolecular structures, including micelles, lamellae, nanofibers, and biological membranes. Phospholipid

    Amphiphile

    Amphiphile

    Amphiphile

  • Darcy–Weisbach equation
  • Equation in fluid dynamics

    smooth to rough flow. The Colebrook–White relation fits the friction factor with a function of the form 1 f D = − 2.00 log ⁡ ( 2.51 R e f D ( 1 + R ∗ 3.3

    Darcy–Weisbach equation

    Darcy–Weisbach_equation

  • Characteristic function (probability theory)
  • Fourier transform of the probability density function

    In probability theory and statistics, the characteristic function of any real-valued random variable completely defines its probability distribution.

    Characteristic function (probability theory)

    Characteristic function (probability theory)

    Characteristic_function_(probability_theory)

  • Definite quadratic form
  • Type of homogeneous polynomial of degree 2

    minimizes the sum of squared deviations from a perfect fit within the dataset. Positive-definite function Positive-definite matrix Milnor & Husemoller 1973

    Definite quadratic form

    Definite_quadratic_form

  • Akaike information criterion
  • Estimator for quality of a statistical model

    rewards goodness of fit (as assessed by the likelihood function), but it also includes a penalty that is an increasing function of the number of estimated

    Akaike information criterion

    Akaike_information_criterion

  • Strap-on dildo
  • Device used for sexual penetration or other sexual activity

    during sexual activity. Harnesses and dildos are made in a wide variety of styles, with variations in how the harness fits the wearer, how the dildo attaches

    Strap-on dildo

    Strap-on dildo

    Strap-on_dildo

  • Uncus
  • Structure in the brain

    the amygdala. Seizures that originate in the uncus are known as uncinate fits which are characterized by hallucinations of taste or smell. A sparse amount

    Uncus

    Uncus

    Uncus

  • Power transform
  • Family of functions to transform data

    {\displaystyle \lambda } is estimated using the profile likelihood function and using goodness-of-fit tests. Confidence interval for the Box–Cox transformation

    Power transform

    Power_transform

  • Quantile-parameterized distribution
  • simple equations, and closed-form moments. Keelin and Powley define a quantile-parameterized distribution as one whose quantile function (inverse CDF) can

    Quantile-parameterized distribution

    Quantile-parameterized_distribution

  • Bra size
  • Measures to determine proper bra fit

    countries: Manufacturers' marketing and advertising often appeals to fashion and image over fit, comfort, and function. Since about 1994, manufacturers have

    Bra size

    Bra size

    Bra_size

  • Early stopping
  • Method in machine learning

    such as gradient descent. Such methods update the model to make it better fit the training data with each iteration. Up to a point, this improves the model's

    Early stopping

    Early_stopping

  • Kernel density estimation
  • Concept in statistics

    estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights. KDE answers a fundamental

    Kernel density estimation

    Kernel density estimation

    Kernel_density_estimation

  • Multivariate adaptive regression spline
  • Non-parametric regression technique

    better fit for numerical data. Generalized additive models. Unlike MARS, GAMs fit smooth loess or polynomial splines rather than hinge functions, and they

    Multivariate adaptive regression spline

    Multivariate_adaptive_regression_spline

  • Bin packing problem
  • Mathematical and computational problem

    (sometimes known as the first-fit decreasing algorithm), although this still does not guarantee an optimal solution and for longer lists may increase

    Bin packing problem

    Bin_packing_problem

  • Nucleation
  • Initial step in the phase transition or molecular self-assembly of a substance

    not a simple step function that drops sharply from one to zero at one particular time. The red curve is a fit of a Gompertz function to the data. This

    Nucleation

    Nucleation

    Nucleation

  • Distance sampling
  • Methods for estimating the density and/or abundance of populations

    polynomial) and is intended to add flexibility to the form of the key function, allowing it to fit more closely to the data PDF. While this can improve

    Distance sampling

    Distance_sampling

  • Myers–Briggs Type Indicator
  • Pseudoscientific personality questionnaire

    each of the functions is expressed primarily in either an introverted or extraverted form. Based on Jung's original concepts, Briggs and Myers developed

    Myers–Briggs Type Indicator

    Myers–Briggs Type Indicator

    Myers–Briggs_Type_Indicator

  • FitNesse
  • Software testing tool with web server and wiki

    testing in that it facilitates detailed readable description of system function. FitNesse allows users of a developed system to enter specially formatted

    FitNesse

    FitNesse

  • Taylor's theorem
  • Approximation of a function by a polynomial

    approximation to f ( x ) {\textstyle f(x)} , we can fit a quadratic polynomial instead of a linear function: P 2 ( x ) = f ( a ) + f ′ ( a ) ( x − a ) + f

    Taylor's theorem

    Taylor's theorem

    Taylor's_theorem

  • Function composition
  • Operation on mathematical functions

    Such morphisms (like functions) form categories, and so the approach via categories fits well with the objective of organizing and understanding Mathematics

    Function composition

    Function_composition

  • Cross-correlation
  • Covariance and correlation

    processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is also known as

    Cross-correlation

    Cross-correlation

    Cross-correlation

  • Sonata form
  • Musical structure of three main sections

    by which it accomplishes its function in the form. After its establishment, the sonata form became the most common form in the first movement of works

    Sonata form

    Sonata_form

  • Bump function
  • Smooth and compactly supported function

    analysis, a bump function is a localized auxiliary function, usually chosen to be smooth and to have compact support. Bump functions are commonly used

    Bump function

    Bump function

    Bump_function

  • Calculus
  • Branch of mathematics

    {df}{dt}}=-af(t)} is solved by a function f ( t ) {\displaystyle f(t)} that is proportional to its own derivative. Any such function has the form f ( t ) = C e − a t

    Calculus

    Calculus

  • Wrench
  • Tool used to provide grip and mechanical advantage

    narrowing and widening the jaws, including patented monkey wrenches. Most box end wrenches are sold as '12-point' because 12-point wrenches fit over both

    Wrench

    Wrench

    Wrench

  • Kype
  • Secondary sex characteristic in some fish

    allowing the kype to fit into the premaxilla when the mouth is closed. The kype functions as a secondary sexual characteristic and influences the formation

    Kype

    Kype

    Kype

  • Local regression
  • Moving average and polynomial regression method for smoothing data

    analyst is not required to specify a global function of any form to fit a model to the data, only to fit segments of the data. The trade-off for these

    Local regression

    Local regression

    Local_regression

  • Data
  • Unit of information

    measurements. Data is commonly used in scientific research, economics, and virtually every other form of human organizational activity. Examples of data sets include

    Data

    Data

    Data

  • Weibull distribution
  • Continuous probability distribution

    k > 1 and constant for k = 1, in which case the Weibull distribution reduces to an exponential distribution. The form of the density function of the

    Weibull distribution

    Weibull distribution

    Weibull_distribution

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