Heuristic function for n queen problem - The columns represent five different aproaches and the numbers are the computational cost of each.

 
An alternative to exhaustive search is an 'iterative repair' algorithm, which typically starts with all <b>queens</b> on the board, for example with one <b>queen</b> per column. . Heuristic function for n queen problem

The n-Queens problem is to place n chess queens on an n by n chessboard so that no two queens are on the same row, column or diagonal. In addition to previously known variable-ordering heuristics and their extensions, it uses a value-ordering heuristic, which contributes dramatically to its success. Gauss took a passing interest in the problem after reading an 1850 article written by Franz Nauck, who discovered all 92 solutions to the 8-Queens problem. In addition to previously known variable-ordering heuristics and their extensions, it uses a value-ordering heuristic, which contributes dramatically to its success. Answer: Using the single-letter labels from the map on page 100 and omitting simple back-tracking state ex-pansions due to space limitations. The number, of the ways to putting n of queen on the board without any attacking for the first eight n different ways, are 1, 0, 0, 2, 10, 4, 40, 92 [4]. each square has its own elimination number (to indicate how many squares of an empty chessboard are "eliminated" if a queen is placed in that square. In this paper, we study some families of $1$-regular digraphs that admit (modular) queen labelings and present a new. tpwhite obituaries. I wrote a program to do this for any given N queens and NN board. Information Processing Letters 34 (1990) 173-178 North-Holland 24 April 1990 AN ALMOST PERFECT HEURISTIC FOR THE N NONATTACKING QUEENS PROBLEM L. h(x) = +1 for all the blocks in the support structure if the block is correctly positioned otherwise -1 for all the blocks in the support structure. You only talk about admissible heuristics for constructive searches like A* search (or its variants). Trace the operation of A⁄ search applied to the problem of getting to Bucharest from Lugoj using the straight-line distance heuristic. I wrote a program to do this for any given N queens and NN board. The n-queens problem asks how to place n queens on an n \times n chess board. Heuristic Repair and N-Queens Problem 5 Problem: I am trying to solve the N-Queens problem using Constraint Satisfaction and Heuristic Repair (also known as Min-Conflicts ). The n -queens problem is about finding how many different ways queens can be placed on a chessboard so that none attack each other. The chess queens can attack in any direction as horizontal, vertical, horizontal and diagonal way. The problem was first posed in the mid-19th century. A heuristic algorithm for the multidimensional zero-one knapsack problem Author: M. N-Queen Problem It is known that the maximum number of queens that can be placed on an n x n chessboard, so that no two attack one another, is n. The columns represent five different aproaches and the numbers are the computational cost of each. Pure Heuristic Search: Pure heuristic search is the simplest form of heuristic search algorithms. For example, the following is the output matrix for the above 4 queen. 8-queens problem and a heuristic function (h3) Fuad Hasan SaFfAt 95 subscribers Subscribe 4 642 views 1 year ago 8-queens problem and a heuristic function (h3) that returns the. 4 heuristics were implemented and compared. the problem. For the 8-queens problem, define a heuristic function, design a Best First Search algorithm in which the search process is guided by f(n) = g(n) + h(n), where g(n) is the depth of node n and h. So first we will consider the 4 queens problem and then generate it to n - queens problem. Chapter 4 discusses the searches and heuristics employed in the experiments. The function h ⁢ (n) is an admissible heuristic if h ⁢ (n) is always less than or equal to the actual cost of a lowest-cost path from node n to a goal. – But in N-Queens, incremental improvement does not always suggest a solution. Use the cost of the optimal solution to this problem as a heuristic for the 8-puzzle. Function BACKTRACKING-SEARCH(csp)returns a solution,or failure return BACKTRACK({},csp) Function BACKTRACK(assignment, . If the heuristic function, h always underestimate the true cost (h(n) is smaller than h*(n)), then A* is guaranteed to find an optimal solution. The puzzle was originally proposed in 1848 by the chess player Max Bezzel as 8- queens puzzle, and over the years, many mathematicians have worked on this puzzle and generalized its n - queens. Need h = 0 •How to find global minimum/maximum?. Gauss took a passing interest in the problem after reading an 1850 article written by Franz Nauck, who discovered all 92 solutions to the 8-Queens problem. For the 8- queens problem , define a heuristic function , design a Best First Search algorithm in which the search process is guided by f( n ) = g( n ) + h( n ), where g( n ) is the depth of node n and h( n ) is the heuristic function you define, and give the pseudo code description. We present a heuristic technique for finding solutions to the N nonattacking queens problem that is almost perfect in the sense that it finds a first solution without any backtracks in most cases. tpwhite obituaries. Trace the operation of A⁄ search applied to the problem of getting to Bucharest from Lugoj using the straight-line distance heuristic. Mar 12, 2017 · Problem: I am trying to solve the N -Queens problem using Constraint Satisfaction and Heuristic Repair (also known as Min-Conflicts ). Heuristic Repair and N-Queens Problem 5 Problem: I am trying to solve the N-Queens problem using Constraint Satisfaction and Heuristic Repair (also known as Min-Conflicts ). Abstract: There are various methods to optimize the scheduling systems such as tabu search, genetic algorithms and simulated annealing etc. optimal solution to this problem as a heuristic for the 8-puzzle. tpwhite obituaries. Apr 24, 1990 · Using these heuristics, solutions have been found for all values of N between 4 and 1000. h(x) = +1 for all the blocks in the support structure if the block is correctly positioned otherwise -1 for all the blocks in the support structure. The constraints defined by the N-queens problem are: (a) No. N puzzle algorithm c++ program code to find heuristics value. Heuristic function for n queen problem. ) Admissible heuristic: Add the records in each row from the 1st row to the nth row. Heuristic/objective function: The number of pairs of attacking queens. The chess queenscan attack in any direction as horizontal, vertical, horizontal and diagonal way. Action Open Nodes f(n) g(n) h(n) 1 Initial State (L, 244) 244 0 244. flash loan coding. It is stated that previous AI search algorithms can . N-Queen Problem It is known that the maximum number of queens that can be placed on an n x n chessboard, so that no two attack one another, is n. A study on the impact of heuristic initialization functions in a genetic algorithm solving the N - queens problem. Need h = 0 •How to find global minimum/maximum?. Kids will be able to easily review and practice their math skills. Heuristic algorithm is often used to solve . N-Queen Problem, 8-Queen Problem, Heuristic Techniques, Genetic Algorithm (GA), Swarm Intelligence (SI). And this leads to O(n) complexity of the fitness function. The objective of a heuristic is to produce a solution in a reasonable time frame that is good enough for solving the problem at hand. If the remainder is 3 or 9, move 2 to the end of the list. For this test, a blood sample is sent to a laboratory The average size of the prostate in grams was 50 grams in the range 50 to 59 years old, 60 g in the range 60 to 69 years old and 60 grams in the range of 70 to 79 years, and the average value of PSA was 5. Action Open Nodes f(n) g(n) h(n) 1 Initial State (L, 244) 244 0 244. Example: 8-queens problem •h= number of pairs of queens that are attacking each other, either directly or indirectly •h = 17for the above state Heuristic? 20 Example: 8-queens problem •A local minimum with h = 1. Eneko Osaba. If the remainder from dividing N by 6 is not 2 or 3 then the list is simply all even numbers followed by all odd numbers ≤ N. The problem is widely recognized as constraint satisfaction problems (CSP) in the domain of Artificial Intelligence. Here, we will call any block correctly positioned if it has the same support structure. The $\otimes_h$-product was introduced in 2008 as a generalization of theKronecker product and since then, many relations among labelings have beenestablished using the $\otimes_h$-product and some particular families ofgraphs. The functionh ⁢ (n) is an admissible heuristicif h ⁢ (n) is always less than or equal to the actual cost of a lowest-cost path from node nto a goal. The research article examines the three distinguished heuristics approaches for solving the N-Queens problem. is n. initializes a 0 filled 2-dimensional l ist variable table of N x N. Heuristic Functions. The goal is to place “N” Number of queens on an “N x N” sized chess board such that no queen is under attack. No Disclosures condos under 100k in nj classic mercedes forum. ) Admissible heuristic: Add the records in each row from the 1st row to the nth row. In this section we'll walk through a short Python program that uses the CP-SAT solver to find all solutions to the problem. For instance, the first counterexample must be odd because f(2n) = n, smaller than 2n; and it must be 3 mod 4 because f 2 (4n + 1) = 3n + 1, smaller than 4n + 1. These methods usually require much less work than developing a specialized heuristic for a specific application, which makes metaheuristics an appealing choice for implementation in general purpose of sequencing and scheduling. Apr 05, 2020 · The heuristics is defined in the form of a function, say f, which some how represents the mapping to the total distance between start node and the goal node. 19 de dez. each square has its own elimination number (to indicate how many squares of an empty chessboard are "eliminated" if a queen is placed in that square. Recommended: Please try your approach on {IDE} first, before moving on to the solution. For the 8-queens problem, define a heuristic function, design a Best First Search algorithm in which the search process is guided by f(n) = g(n) + h(n), where g(n) is the depth of node n and h. a) If the queen can be placed safely in this row then mark this [row, column] as part of the solution and recursively check if placing queen here leads to a solution. answered Mar 24, 2018 by JoshuaLoveLife (128 points) +1 vote. We also describe a scheduling application where the approach has been used successfully. Nov 1, 2011 · A heuristic is a rule of thumb that you believe will help in problem solving. N-Queen Problem It is known that the maximum number of queens that can be placed on an n x n chessboard, so that no two attack one another, is n. In chapter 3, a brief history of the N-Queens problem is presented. Here, we will call any block correctly positioned if it has the same support structure. In addition to previously known variable-ordering heuristics and their extensions, it uses a value-ordering heuristic, which contributes dramatically to its success. The goal of a game is to place all queens on the board so that they do not threaten each other. Do following for every tried row. Eneko Osaba. Need h = 0 •How to find global minimum/maximum?. In the NP-complete quadratic assignment problem (QAP), n facilities are to be assigned to n sites at minimum cost. Admissible Heuristic Let h*(N) be the cost of the optimal path from N to a goal node The heuristic function h(N) is admissible 15 if: 0 ≤h(N) ≤h*(N) An admissible heuristic function is always optimistic ! Admissible Heuristic Let h*(N) be the cost of the optimal path from N to a goal node The heuristic function h(N) is admissible 16 if:. N is 8 for eight queens puzzle. The objective of the n-Queens puzzle is to place n queens on an n×n. That's it. This heuristic solves N queens for any N ≥ 4. NP-hard problems. Action Open Nodes f(n) g(n) h(n) 1 Initial State (L, 244) 244 0 244. initializes a 0 filled 2-dimensional l ist variable table of N x N. Initially, the process of the key generation is performed by using the results of n-queen problem that is solved by the genetic algorithm, with the use of a random number generator and through the application of the GA operations. Get Form. So first we will consider the 4 queens problem and then generate it to n - queens problem. If the remainder from dividing N by 6 is not 2 or 3 then the list is simply all even numbers followed by all odd numbers ≤ N. We present a heuristic technique for finding solutions to the N nonattacking queens problem that is almost perfect in the sense that it finds a first solution without any backtracks in most cases. Heuristics of this kind, which involve performing a search on a ^relaxed _ form. The $\otimes_h$-product was introduced in 2008 as a generalization of theKronecker product and since then, many relations among labelings have beenestablished using the $\otimes_h$-product and some particular families ofgraphs. 8-queens problem and a heuristic function (h3) Fuad Hasan SaFfAt 95 subscribers Subscribe 4 642 views 1 year ago 8-queens problem and a heuristic function (h3) that returns the. m38 for sale. Chicago, Jan. Only very small (n≤20) instances of the QAP have been solved exactly, and. Amount of empty rows. The objective of the n-Queens puzzle is to place n queens on an. The problem is widely recognized as constraint satisfaction problems (CSP) in the domain of Artificial Intelligence. However, backtracking search is not able to solve the large. - g* (n) is the. For the 8- queens problem , define a heuristic function , design a Best First Search algorithm in which the search process is guided by f( n ) = g( n ) + h( n ), where g( n ) is the depth of node n and h( n ) is the heuristic function you define, and give the pseudo code description. Eneko Osaba. Recommended: Please try your approach on {IDE} first, before moving on to the solution. Due to the reduction of the fitness function. initializes a 0 filled 2-dimensional l ist variable table of N x N. According to their results, the minimum conflicts local search heuristic scored best out of the algorithms tested on the n-Queens problem, requiring an average of 4K checks compared with >40,000K checks for backtracking and forward-checking. 2 Objective Function. For each starting value a which is not a counterexample to the Collatz conjecture, there is a k for which such an inequality holds, so checking the Collatz conjecture for one starting. Simulated Annealing technique is a meta-heuristic optimization algorithm. For this test, a blood sample is sent to a laboratory The average size of the prostate in grams was 50 grams in the range 50 to 59 years old, 60 g in the range 60 to 69 years old and 60 grams in the range of 70 to 79 years, and the average value of PSA was 5. Heuristics are used in lots of settings in AI. The goal of a game is to place all queens on the board so that they do not threaten each other. Abstract. Branch and Bound -Upper bound is a. Furthermore, for each algorithm the upper bound complexity is determined as well as complexity of the fitness function. Need h = 0 •How to find global minimum/maximum?. tabu search a heuristic function is created and a custom C program written. CSE concepts with Parinita. Example: 8-queens problem •h= number of pairs of queens that are attacking each other, either directly or indirectly •h = 17for the above state Heuristic? 20 Example: 8-queens problem •A local minimum with h = 1. Numbers in cells indicate move number of Knight. Apr 24, 1990 · Introduction The N nonattacking queens problem is defined as follows: Find a placement for N queens on a generalized N x N chessboard such that no two queens attack each other. If the remainder is 3 or 9, move 2 to the end of the list. 11 de fev. Hill-climbing search: 8-queens problem Simulated annealing search Idea: escape local maxima by allowing some "bad" moves but gradually decrease their frequency. Example: 8-queens problem •h= number of pairs of queens that are attacking each other, either directly or indirectly •h = 17for the above state Heuristic? 20 Example: 8-queens problem •A local minimum with h = 1. satisfy in order to satisfy the criterion function. 22 de mai. For each starting value a which is not a counterexample to the Collatz conjecture, there is a k for which such an inequality holds, so checking the Collatz conjecture for one starting. Following is an example path followed by Knight to cover all the cells. Given a 4 x 4 chessboard and number the rows and column of the chessboard 1 through 4. An analytical evidence for Kalé's heuristic for the N queens problem 1993, Information Processing Letters Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems 1992, Artificial Intelligence Show abstract The hysteretic Hopfield neural network 2000, IEEE Transactions on Neural Networks. Get Form. 34, pp. Here, we will call any block correctly positioned if it has the same support structure. The n-Queens problem is to place n chess queens on an n by n chessboard so that no two queens are on the same row, column or diagonal. Numbers in parentheses mean 'no answer found after this much work'. Metaheuristics for algorithm simulated annealing, tabu search and genetic algorithm are shown, test results are demonstrated and upper bound complexity is determined. First of all N-Queen problem is the problem where we need to find an. Metaheuristics for algorithm simulated annealing, tabu search and genetic algorithm are shown, test results are demonstrated and upper bound complexity is determined. Kids will be able to easily review and practice their math skills. Therefore, the worst-case time complexity of our algorithm is O(N N). initializes a 0 filled 2-dimensional l ist variable table of N x N. We also describe a scheduling application where the approach has been used successfully. Heuristic Repair and N-Queens Problem 5 Problem: I am trying to solve the N-Queens problem using Constraint Satisfaction and Heuristic Repair (also known as Min-Conflicts ). More precisely, how the solver will try to solve the model we will develop and explain in the sections The n-Queens Problem and Implementation of a basic . Branch and Bound – Upper bound is a limiting measure of worst acceptable proximity to a solution. The n-. The goal of a game is to place all queens on the board so that they do not threaten each other. ] n-queens conflict ai. initializes a 0 filled 2-dimensional l ist variable table of N x N. Use the cost of the optimal solution to this problem as a heuristic for the 8-puzzle. Kids will be able to easily review and practice their math skills. Probability Worksheets With Answer Sheet I Teachersherpa. \begin {aligned} f (n)=g (n)+h (n), \end {aligned} (9. The problems . injector metering rail 1 pressure cummins code 559. 3 [8] Consider the Bucket Problem given in Q-1 above. Heuristic function for n queen problem Jan 27, 2023 · Method 1: 1) Start in the leftmost column 2) If all queens are placed return true 3) Try all rows in the current column. The objective of the n-Queens puzzle is to place n queens on an. Algorithm (GA) is proposed to solve N-queens problem. N-Queen Problem It is known that the maximum number of queens that can be placed on an n x n chessboard, so that no two attack one another, is n. The n-queen puzzle is the problem of keeping n queens on chessboard (n column, n row) so that keep at most 1 queen in each column, row and diagonal. Let's define such function h:. Write a list of the even numbers from 2 to n in order. N puzzle algorithm c++ program code to find heuristics value. Chapter 6 presents the results with an analysis for each heuristic. Get Form. Admissible heuristic: Add the records in each row from the 1st row to the nth row. May 24, 2010 · 1. If there are several rows that minimize conflicts for the current queen, you can choose randomly among them. mobile home for sale miami

The N-queens problem is a classical NP hard problem with many solving methods. . Heuristic function for n queen problem

The contribution of assigning facility i to site k and facility j to site l to the total cost is fijdkl, where fij is the flow between facilities i and j, and dkl is the distance between sites k and l. . Heuristic function for n queen problem

The $\otimes_h$-product was introduced in 2008 as a generalization of theKronecker product and since then, many relations among labelings have beenestablished using the $\otimes_h$-product and some particular families ofgraphs. Heuristic function for n queen problem Jan 27, 2023 · Method 1: 1) Start in the leftmost column 2) If all queens are placed return true 3) Try all rows in the current column. Introduction The N nonattacking queens problem is defined as follows: Find a placement for N queens on a generalized N x N chessboard such that no two queens attack each other. The $\otimes_h$-product was introduced in 2008 as a generalization of theKronecker product and since then, many relations among labelings have beenestablished using the $\otimes_h$-product and some particular families ofgraphs. Apr 24, 1990 · Using these heuristics, solutions have been found for all values of N between 4 and 1000. Graphing Inequalities Workheet 2 - Here is a 15 problem worksheet where students will graph simple inequalities like x -2 and -x 2 on a number line. -Beam width as a function of N. length; queen++) { placeQueens (queen); } You can't decide where to put queen 0 without deciding where to put queen 1 to 8 at the exact same time. In the N-Queens problem, we have N queens on an NxN chess board. We present a heuristic technique for finding solutions to the N nonattacking queens problem that is almost perfect in the sense that it finds a first solution without any backtracks in most cases. Need h = 0 •How to find global minimum/maximum?. Techniques, Ant Colony optimization (ACO), Swarm Intelligence. The N-queens problem can stated thus; “Given an NxN chessboard, find a way to place N queens upon the board such that no queen threatens another. It is a way to inform the search about the direction to a goal. Need h = 0 •How to find global minimum/maximum?. synology disable admin account warning. The problem is widely recognized as constraint satisfaction problems (CSP) in the domain of Artificial Intelligence. The selection of a good heuristic function matters certainly. In the modern era, it is often used as an example <b>problem</b> <b>for</b>. Action Open Nodes f(n) g(n) h(n) 1 Initial State (L, 244) 244 0 244. problem and approaches to solving the N-Queen problem. Kids will be able to easily review and practice their math skills. Metaheuristics for algorithm simulated annealing, tabu search and genetic algorithm are shown, test results are demonstrated and upper bound complexity is determined. And this leads to O(n) complexity of the fitness function. I observed that a solution should be found in N passes or less (since we need to find N non-conflicting locations, for which we might need. -Beam width as a function of N. The N-Queens problem demands the non-attacking placements of finite number of queens over chessboard. 2008 28 AI 1 3 2 4 X3 {1,2,3,4} X4. 18 de mar. Due to the. suring the performance of heuristic search algorithms [Gaschnig, 1979; Nilsson, 1980; Pearl, 1985; Russell, 1992], learning methods [Laird et a/. In our example N = 8. Write a list of the even numbers from 2 to n in order. The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other. fitness function for guiding the search, but because of having. Page 71. The problem is widely recognized as constraint satisfaction problems (CSP) in the domain of Artificial Intelligence. A heuristic function h ⁢ (n), takes a node n and returns a non-negative real number that is an estimate of the cost of the least-cost path from node n to a goal node. The 8 queens problem was generalized as putting n queen in a way that non-attacking between the queens. In addition to previously known variable-ordering heuristics and their extensions, it uses a value-ordering heuristic, which contributes dramatically to its success. In the following sections, we'll illustrate constraint programming (CP) by a combinatorial problem based on the game of chess. 8-Puzzle problem in Artificial Intelligence with Heuristic in English | Informed search. Since, we have to place 4 queens such as q 1 q 2 q 3 and q 4. Expert Answer. satisfy in order to satisfy the criterion function. Simulated Annealing technique is a meta-heuristic optimization algorithm. Given a 4 x 4 chessboard and number the rows and column of the chessboard 1 through 4. N is 8 for eight queens puzzle. However, my question is: "Is the 8-Queens. A small . May 24, 2010 · This heuristic solves n queens for any n n ≥ 4 or n = 1: Divide n by 12. The heuristic function h(n) tells A* an estimate of the minimum cost. Comparison of Heuristic Algorithms for the N-Queen Problem Abstract: This paper addresses the way in which heuristic algorithms can be used to solve the n-queen problem. This paper addresses the way in which heuristic algorithms can be used to solve the n-queen problem. In addition to previously known variable-ordering heuristics and their extensions, it uses a value-ordering heuristic, which contributes. 25 de out. Get Form. This implementation supports N = 4. n-queens •Hill Climbing may NOT reach to a goal state for n-queens problem. N-Queen Problem It is known that the maximum number of queens that can be placed on an n x n chessboard, so that no two attack one another, is n. Hill Climbing:. The heuristic can be used with a variety of different search strategies. Get Form. These methods usually require much less work than developing a specialized heuristic for a specific application, which makes metaheuristics an appealing choice for implementation in general purpose of sequencing and scheduling. 100000 queens are solved. Chapter 6 presents the results with an analysis for each heuristic. Classical methods to solve n-queens problem contain search heuristic methods, local search and conflict minimization methods [1, 2]. If the heuristic function, h always underestimate the true cost (h(n) is smaller than h*(n)), then A* is guaranteed to find an optimal solution. 3 [8] Consider the Bucket Problem given in Q-1 above. Abstract. 11 de dez. Assume that the heuristic function is defined as follows: h(n) = n-1 Apply A* search algorithm to solve the problem using the above h 1 answer. Example: 8-queens problem •h= number of pairs of queens that are attacking each other, either directly or indirectly •h = 17for the above state Heuristic? 20 Example: 8-queens problem •A local minimum with h = 1. Possible fitness function is the number of non-attacking pairs of queens that we are interested to maximize (which has the maximum value \(8 \ . The efficiencies of algorithms are compared and their achievements are measured. Trace the operation of A⁄ search applied to the problem of getting to Bucharest from Lugoj using the straight-line distance heuristic. 100000 queens are solved. Copilot Packages Security Code review Issues Discussions Integrations GitHub Sponsors Customer stories Team Enterprise Explore Explore GitHub Learn and contribute Topics Collections Trending Skills GitHub Sponsors Open source guides Connect with others The ReadME Project Events Community forum GitHub. - g* (n) is the. The expected output is a binary matrix that has 1s for the blocks where queens are placed. The used heuristic function is by seeing the numbers of boxes which are empty and the number of queen which is not be put in board yet. The eight queens problem is a classical combinatorial problem of putting eight queens on an 8 x 8 chessboard so that none of them is able. A Heuristic is a technique to solve a problem faster than classic methods, or to find an approximate solution when classic methods cannot. injector metering rail 1 pressure cummins code 559. The 8 queens problem was generalized as putting n queen in a way that non-attacking between the queens. 8-queens problem and a heuristic function (h3) that returns the number of attacking pairs of queens. Queens on an n×n chessboard such that no queen. Metaheuristics for algorithm simulated annealing, tabu search and genetic algorithm are shown, test results are demonstrated and upper bound complexity is determined. Jul 22, 2021 · And recall that a best-first search algorithm will pick the node with the lowest evaluation function. 5 ng / ml respectively. Generate and test This algorithm is used for simple problems and inefficient for problems with large space or complicated. • If the heuristic function, h always underestimates the true cost (h(n) is smaller than h*(n)), then A* is guaranteed to find an optimal solution. Expert Answer. . ista standalone, craigslist men seeking men, toyota tacoma for sale private owner, oldfucks, rpurplepilldebate, craigs list yuba sutter, leaked nudes reddit, surprise transgender porn, tsubasa yuzuki uncensored, laurel coppock nude, ninja air fryer dual basket, craigslist fresno cars co8rr