Auto Topic: raise
auto_raise | topic
Coverage Score
1
Mentioned Chunks
22
Mentioned Docs
5
Required Dimensions
definitionpros_cons
Covered Dimensions
definitionpros_cons
Keywords
raise
Relations
| Source | Type | Target | W |
|---|---|---|---|
| Auto Topic: raise | CO_OCCURS | Auto Topic: row | 11 |
| Auto Topic: def | CO_OCCURS | Auto Topic: raise | 11 |
| Auto Topic: raise | CO_OCCURS | Auto Topic: self | 10 |
| Auto Topic: raise | CO_OCCURS | Auto Topic: valueerror | 9 |
| Auto Topic: raise | CO_OCCURS | Auto Topic: rows | 9 |
| Auto Topic: cols | CO_OCCURS | Auto Topic: raise | 9 |
| Auto Topic: col | CO_OCCURS | Auto Topic: raise | 8 |
| Auto Topic: int | CO_OCCURS | Auto Topic: raise | 7 |
| Auto Topic: raise | CO_OCCURS | Auto Topic: vertical | 6 |
| Auto Topic: isinstance | CO_OCCURS | Auto Topic: raise | 6 |
| Auto Topic: legal_moves | CO_OCCURS | Auto Topic: raise | 5 |
| Auto Topic: copy | CO_OCCURS | Auto Topic: raise | 4 |
| Auto Topic: len | CO_OCCURS | Auto Topic: raise | 4 |
| Auto Topic: dominoesgame | CO_OCCURS | Auto Topic: raise | 4 |
| Auto Topic: is_legal_move | CO_OCCURS | Auto Topic: raise | 4 |
| Auto Topic: import | CO_OCCURS | Auto Topic: raise | 3 |
| Auto Topic: imports | CO_OCCURS | Auto Topic: raise | 3 |
| Auto Topic: get_board | CO_OCCURS | Auto Topic: raise | 3 |
| Auto Topic: perform_move | CO_OCCURS | Auto Topic: raise | 3 |
Evidence Chunks
| Source | Confidence | Mentions | Snippet |
|---|---|---|---|
assignments CIS5210-Assignments/M4/homework4.py | 0.61 | 4 | ... ################################## def create_dominoes_game(rows, cols): if not isinstance(rows, int) or not isinstance(cols, int): raise TypeError("rows and cols must be integers") if rows < 0 or cols < 0: raise ValueError("rows and cols must be non-negative") board = [[False] * ... |
assignments CIS5210-Assignments/M4/homework4.py | 0.61 | 4 | class DominoesGame(object): def __init__(self, board): if board is None: raise ValueError("board cannot be None") if not isinstance(board, list): raise TypeError("board must be a list of rows") self.rows = len(board) self.cols = len(board[0]) if self.rows else 0 for row in board: ... |
assignments CIS5210-Assignments/M4/hw4-optimized.py | 0.61 | 4 | ... ################################## def create_dominoes_game(rows, cols): if not isinstance(rows, int) or not isinstance(cols, int): raise TypeError("rows and cols must be integers") if rows < 0 or cols < 0: raise ValueError("rows and cols must be non-negative") board = [[False] * ... |
assignments CIS5210-Assignments/M4/hw4-optimized.py | 0.61 | 4 | = ('board', 'rows', 'cols') def __init__(self, board): if board is None: raise ValueError("board cannot be None") if not isinstance(board, list): raise TypeError("board must be a list of rows") self.rows = len(board) self.cols = len(board[0]) if self.rows else 0 for row in board: ... |
assignments CIS5210-Assignments/M2/homework2.py | 0.59 | 3 | ... ########## # Section 1: N-Queens ############################################################ def num_placements_all(n): if n < 0: raise ValueError("n must be non-negative.") return math.comb(n * n, n) def num_placements_one_per_row(n): if n < 0: raise ValueError("n must be non-n ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | s only four cards, two aces and two kings. One card is dealt to each player. The first player then has the option to raise the stakes of the game from 1 point to 2, or to check. If player 1 checks, the game is over. If player 1 raises, then player 2 has the option to call, accepti ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... ,1 1 1 1 1 2 2 2 2 Figure 17.5 Extensive form of a simplified version of poker with two players and only four cards. The moves are r (raise), f (fold), c (call), and k (check). Section 17.2 Non-Cooperative Game Theory 611 corresponding to a raise, check, call, or fold, or, for Cha ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... with a simultaneous auction (bids were taken on all ten blocks at the same time), using the rule that any bid must be a min- imum of a 10% raise over the previous bid on a block. There were only two credible bidders, and the first, Mannesman, entered the bid of 20 million deutschm ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... line—in college or high school—and by greater awareness at the professional level. Joy Buolamwini founded the Algorithmic Justice League to raise awareness of this issue and develop practices for accountability. A second idea is to de-bias the data (Zemel et al., 2013). We could ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... g the behavior of the system being modeled. Within the control theory community, for which problems such as evasive maneuvering by aircraft raise the same kinds of difficulties, the standard solution is the switching Kalman filter. In this approach, multiple Kalman fil-Switching Kal ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... nt of poker. The deck has only four cards, two aces and two kings. One card is dealt to each player. The first player then has the option to raise the stakes of the game from 1 point to 2, or to check. If player 1 checks, the |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... for playeri corresponds to an action for each information set involving that player. So in Figure 17.5, one pure strategy for player 1 is “raise when in I1,1 (that is, when I have an ace), and check when in I1,2 (when I have a king).” In the payoff matrix below, this strategy is ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... t, however, prove that there can be no limits to what AI can achieve. Alan Turing (1950), the first person to define AI, was also the first to raise possible objections to AI, foreseeing almost all the ones subsequently raised by others. 28.1.1 The argument from informality Turing’s ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... line—in college or high school—and by greater awareness at the professional level. Joy Buolamwini founded the Algorithmic Justice League to raise awareness of this |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | raise awareness of this issue by sponsoring the Inclusive Images Competition, in which competitors train a network on a data set of labeled images collected in North America and Europe, and then test it on images taken from all around the Section 28.3 The Ethics of AI 1047 world. ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... t be capable of cleverly manipulating equations a billion times faster than Einstein, but to make any real progress, it would still need to raise millions of dollars to build a more powerful supercollider and run physical experiments over the course of months or years. Only then ... |
assignments CIS5210-Assignments/M2/homework2.py | 0.55 | 1 | ... l) in diag2: return False cols.add(col) diag1.add(row - col) diag2.add(row + col) return True def n_queens_solutions(n): if n < 0: raise ValueError("n must be non-negative.") limit = (1 << n) - 1 board = [0] * n solutions = [] append = solutions.append def dfs(row, cols, diag_lef ... |
assignments CIS5210-Assignments/M4/homework4.py | 0.55 | 1 | ... w[c + 1]: yield (r, c) def perform_move(self, row, col, vertical): if not self.is_legal_move(row, col, vertical): raise ValueError("illegal move") vertical = bool(vertical) if vertical: self.board[row][col] = True self.board[row + 1][col] = True else: self.board[row][col] = True ... |