content
stringlengths
7
1.05M
fixed_cases
stringlengths
1
1.28M
def num_of_factors(num): n = 0 factor = 1 while factor * factor < num: if num % factor == 0: n += 1 factor += 1 if factor * factor > num: return n * 2 else: # perfect square return n * 2 + 1 triangle = 0 i = 1 while True: triangle += i if num_of_factors(triangle) > 500: print(triangle) break i += 1
def num_of_factors(num): n = 0 factor = 1 while factor * factor < num: if num % factor == 0: n += 1 factor += 1 if factor * factor > num: return n * 2 else: return n * 2 + 1 triangle = 0 i = 1 while True: triangle += i if num_of_factors(triangle) > 500: print(triangle) break i += 1
# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = Nonea class Solution(object): def postorderTraversal(self, root): """ :type root: TreeNode :rtype: List[int] """ ans = [] s = [] pre = None while root or s: if root: s.append(root) root = root.left elif s[-1].right != pre: # deal with left subtree root = s[-1].right pre = None else: # left and right subtree covered pre = s.pop() ans.append(pre.val) return ans
class Solution(object): def postorder_traversal(self, root): """ :type root: TreeNode :rtype: List[int] """ ans = [] s = [] pre = None while root or s: if root: s.append(root) root = root.left elif s[-1].right != pre: root = s[-1].right pre = None else: pre = s.pop() ans.append(pre.val) return ans
# bulk_data = [] # for row in csv_file_object: # data_dict = {} # for i in range(len(row)): # data_dict[header[i]] = row[i] # op_dict = { # "index": { # "_index": INDEX_NAME, # "_type": TYPE_NAME, # "_id": data_dict[ID_FIELD] # } # } # bulk_data.append(op_dict) # bulk_data.append(data_dict) x = 10 y= 20 def a(): print(x) x = x + 10 def b(): print(y) print(a(),b(),x)
x = 10 y = 20 def a(): print(x) x = x + 10 def b(): print(y) print(a(), b(), x)
class t_list(): def __init__(self, lst = []): lst.sort() self.lst = [[el, el] for el in lst] def __len__ (self): return len(self.lst) def create(self, lst): lst.sort() self.lst = [[el, el] for el in lst] def add(self, val, t): left = 0 right = len(self.lst) while left < right: m = left + (right - left) // 2 if self.lst[m][0] <= val: left = m + 1 else: right = m self.lst.insert(left, [val, t]) def delete(self, ind): el = self.lst.pop(ind) return el[0], el[1] def get(self, ind): return self.lst[ind] def clear(self): self.lst = [] def binary_search(self, x, array): left = 0 right = len(self.lst) - 1 while left < right: m = left + (right - left) // 2 if array[m][0] < x: left = m + 1 else: right = m return left def __str__(self): return ' '.join(str(el) for el in self.lst) N = int(input()) Na = int(input()) A = list(map(int, input().split())) Nb = int(input()) B = list(map(int, input().split())) '''N = 6 Na = 3 A = [1,3,2] Nb = 2 B = [2,3]''' A_obj = t_list(A) B_obj = t_list() resa = [] ll = len(B) for i in range(N): a, t = A_obj.delete(0) resa.append(a) A_obj.add(a + t, t) l = resa[-1] r = 10**3 while l < r: print('|') w = 0 m = l + (r - l)//2 B_obj.create(B) for i in range(N-1,-1,-1): y = m - resa[i] if y < B_obj.lst[0][0]: w += 1 break else: ind = B_obj.binary_search(y, B_obj.lst) x = B_obj.lst[ind][0] if x > y: ind -= 1 a, t = B_obj.get(ind) B_obj.delete(ind) B_obj.add(a+t,t) print(B_obj) if w == 0: r = m else: l = m + 1 B_obj.clear() print(l)
class T_List: def __init__(self, lst=[]): lst.sort() self.lst = [[el, el] for el in lst] def __len__(self): return len(self.lst) def create(self, lst): lst.sort() self.lst = [[el, el] for el in lst] def add(self, val, t): left = 0 right = len(self.lst) while left < right: m = left + (right - left) // 2 if self.lst[m][0] <= val: left = m + 1 else: right = m self.lst.insert(left, [val, t]) def delete(self, ind): el = self.lst.pop(ind) return (el[0], el[1]) def get(self, ind): return self.lst[ind] def clear(self): self.lst = [] def binary_search(self, x, array): left = 0 right = len(self.lst) - 1 while left < right: m = left + (right - left) // 2 if array[m][0] < x: left = m + 1 else: right = m return left def __str__(self): return ' '.join((str(el) for el in self.lst)) n = int(input()) na = int(input()) a = list(map(int, input().split())) nb = int(input()) b = list(map(int, input().split())) 'N = 6\nNa = 3\nA = [1,3,2]\nNb = 2\nB = [2,3]' a_obj = t_list(A) b_obj = t_list() resa = [] ll = len(B) for i in range(N): (a, t) = A_obj.delete(0) resa.append(a) A_obj.add(a + t, t) l = resa[-1] r = 10 ** 3 while l < r: print('|') w = 0 m = l + (r - l) // 2 B_obj.create(B) for i in range(N - 1, -1, -1): y = m - resa[i] if y < B_obj.lst[0][0]: w += 1 break else: ind = B_obj.binary_search(y, B_obj.lst) x = B_obj.lst[ind][0] if x > y: ind -= 1 (a, t) = B_obj.get(ind) B_obj.delete(ind) B_obj.add(a + t, t) print(B_obj) if w == 0: r = m else: l = m + 1 B_obj.clear() print(l)
OperandSet = { 'Ib' : { '16' : ( "0x10", ), '32' : ( "0x10", ), '64' : ( "0x20", ) }, 'Eb_Gb' : { '16' : ( "[bx+si], al", ), '32' : ( "[eax+ebx], ch", "[ebx+ecx*4], bl", "[bx+0x10], dh"), '64' : ( "[rax], r8b", ) }, 'Ev_Gv' : { '16' : (), '32' : ( "[eax+0x1234], esi", "[bx+si+0x1234], esp", "[esp+0x10], ebp"), '64' : () }, 'Gb_Eb' : { '16' : ( "al, bl", ), '32' : ( "bl, cl", ), '64' : ( "r8b, sil", ) }, 'Gv_Ev' : { '16' : ( "ax, bx", ), '32' : ( "eax, ebx", "ax, dx", "ax, [ebx+0x100]" ), '64' : ( "rax, r15", "si, bp", "eax, edx" ) }, 'AL_Ib' : { '16' : ( "al, 0x10", ), '32' : ( "al, 0x13", ), '64' : ( "al, 0x14", ) }, 'rAX_Iz' : { '16' : ( "ax, 0x100", ), '32' : ( "ax, 0x100", "eax, 0x100" ), '64' : ( "r13, 0x200", ) }, 'Eb_Ib' : { '16' : ( "al, 0x10", "byte [eax], 0x10" ), '32' : ( "dl, 0x10", "byte [bp+si], 0x10" ), '64' : ( "di, 0x10", "byte [rax+rsi], 0x10" ) }, 'Ev_Iz' : { '16' : ( "eax, 0x100000", "word [bx+si], 0x1000" ), '32' : ( "eax, 0x100000", "word [bx+si], 0x1000", "dword [bp+0x10], 0x100" ), '64' : ( "rax, 0x100000", "word [ebx+esi], 0x1000", "dword [ebp+0x10], 0x100" ), }, 'Ev_Ib' : { '16' : (), '32' : (), '64' : () }, 'V_W' : { '16' : (), '32' : ( "xmm3, xmm0", "xmm7, [eax]" ), '64' : ( "xmm9, [rax+r8-0x10]", "xmm13, xmm1" ) }, 'V_VR' : { '16' : (), '32' : ( "xmm3, xmm0", "xmm7, xmm2" ), '64' : ( "xmm9, xmm1", "xmm13, xmm1" ) }, 'Ew_Gw' : { '16' : (), '32' : (), '64' : () }, 'Gv_Ed' : { '16' : (), '32' : (), '64' : () }, 'Gv_M' : { '16' : (), '32' : (), '64' : () }, 'rAXr8' : { '16' : (), '32' : (), '64' : ( "rax", "r8" ) }, 'rCXr9' : { '16' : ( "ecx", ), '32' : ( "ecx", ), '64' : ( "r9", "rcx" ) }, 'rDXr10' : { '16' : (), '32' : (), '64' : ( "r10", ) }, 'rBXr11' : { '16' : (), '32' : (), '64' : () }, 'rSPr12' : { '16' : (), '32' : (), '64' : () }, 'rBPr13' : { '16' : (), '32' : (), '64' : () }, 'rSIr14' : { '16' : (), '32' : (), '64' : () }, 'rDIr15' : { '16' : (), '32' : (), '64' : ( "r15", "rdi" ) }, 'Ev' : { '16' : (), '32' : (), '64' : () }, 'Ep' : { '16' : (), '32' : (), '64' : () }, 'Jz' : { '16' : (), '32' : (), '64' : () }, 'Ap' : { '16' : (), '32' : (), '64' : () }, 'M' : { '16' : (), '32' : (), '64' : () }, 'V_W_Ib' : { '16' : (), '32' : ( "xmm0, xmm1, 0x10", ), '64' : ( "xmm2, [r8+rdi+0x20], 0x28", ) }, 'P_W' : { '16' : (), '32' : ( "mm0, [eax]", "mm1, xmm0" ), '64' : () }, 'V_Q' : { '16' : (), '32' : ( "xmm0, qword [eax]", ), '64' : ( "xmm8, mm7", ) }, 'Gy_Wss' : { '16' : (), '32' : (), '64' : () }, 'Gy_Wsd' : { '16' : (), '32' : (), '64' : () }, 'Gy_W' : { '16' : (), '32' : (), '64' : () }, 'V_Ex' : { '16' : (), '32' : (), '64' : () }, 'eAX' : { '16' : (), '32' : (), '64' : () }, 'eCX' : { '16' : (), '32' : (), '64' : () }, 'eDX' : { '16' : (), '32' : ( "dx", "edx" ), '64' : ( "edx", ) }, 'eBX' : { '16' : (), '32' : (), '64' : () }, 'eSP' : { '16' : (), '32' : (), '64' : () }, 'eBP' : { '16' : (), '32' : (), '64' : () }, 'eSI' : { '16' : (), '32' : (), '64' : () }, 'eDI' : { '16' : (), '32' : (), '64' : () }, 'Eb' : { '16' : (), '32' : (), '64' : () }, 'Iw_Ib' : { '16' : (), '32' : (), '64' : () }, 'Mq' : { '16' : (), '32' : (), '64' : () }, 'Md' : { '16' : (), '32' : (), '64' : () }, 'ST0_ST0' : { '16' : (), '32' : ( "st0, st0", ), '64' : () }, 'ST1_ST0' : { '16' : (), '32' : (), '64' : () }, 'ST2_ST0' : { '16' : (), '32' : (), '64' : () }, 'ST3_ST0' : { '16' : (), '32' : ( "st3, st0", ), '64' : () }, 'ST4_ST0' : { '16' : (), '32' : (), '64' : () }, 'ST5_ST0' : { '16' : (), '32' : (), '64' : () }, 'ST6_ST0' : { '16' : (), '32' : (), '64' : () }, 'ST7_ST0' : { '16' : (), '32' : (), '64' : () }, 'ST0_ST1' : { '16' : (), '32' : (), '64' : () }, 'ST0_ST2' : { '16' : (), '32' : (), '64' : () }, 'ST0_ST3' : { '16' : (), '32' : (), '64' : () }, 'ST0_ST4' : { '16' : (), '32' : (), '64' : () }, 'ST0_ST5' : { '16' : (), '32' : ( "st0, st5", ), '64' : () }, 'ST0_ST6' : { '16' : (), '32' : (), '64' : () }, 'ST0_ST7' : { '16' : (), '32' : (), '64' : () }, 'Mt' : { '16' : (), '32' : (), '64' : () }, 'ST0' : { '16' : (), '32' : ( "st0", ), '64' : ( "st1", ) }, 'ST1' : { '16' : (), '32' : (), '64' : () }, 'ST2' : { '16' : (), '32' : (), '64' : () }, 'ST3' : { '16' : (), '32' : (), '64' : () }, 'ST4' : { '16' : (), '32' : (), '64' : () }, 'ST5' : { '16' : (), '32' : (), '64' : () }, 'ST6' : { '16' : (), '32' : (), '64' : () }, 'ST7' : { '16' : (), '32' : (), '64' : () }, 'Mw' : { '16' : (), '32' : (), '64' : () }, 'AX' : { '16' : (), '32' : (), '64' : () }, 'eAX_Ib' : { '16' : (), '32' : (), '64' : () }, 'AL_DX' : { '16' : (), '32' : (), '64' : () }, 'eAX_DX' : { '16' : (), '32' : (), '64' : () }, 'Gv_Ev_Iz' : { '16' : (), '32' : (), '64' : () }, 'Gv_Ev_Ib' : { '16' : (), '32' : (), '64' : () }, 'Gd_Mo' : { '16' : (), '32' : (), '64' : () }, 'Gq_Mo' : { '16' : (), '32' : (), '64' : () }, 'Jb' : { '16' : (), '32' : (), '64' : () }, 'Gv_Ew' : { '16' : (), '32' : (), '64' : () }, 'V_M' : { '16' : (), '32' : (), '64' : () }, 'Gz_M' : { '16' : (), '32' : (), '64' : () }, 'Ew' : { '16' : (), '32' : (), '64' : () }, 'P_Q' : { '16' : (), '32' : ( "mm0, mm6", "mm1, [edi]" ), '64' : ( "mm6, mm4", "mm7, [rax+rbx]" ) }, 'Ev_S' : { '16' : (), '32' : (), '64' : () }, 'S_Ev' : { '16' : (), '32' : (), '64' : () }, 'AL_Ob' : { '16' : (), '32' : (), '64' : () }, 'rAX_Ov' : { '16' : (), '32' : (), '64' : () }, 'Ob_AL' : { '16' : (), '32' : (), '64' : () }, 'Ov_rAX' : { '16' : (), '32' : (), '64' : () }, 'ALr8b_Ib' : { '16' : (), '32' : (), '64' : () }, 'CLr9b_Ib' : { '16' : (), '32' : (), '64' : () }, 'DLr10b_Ib' : { '16' : (), '32' : (), '64' : () }, 'BLr11b_Ib' : { '16' : (), '32' : (), '64' : () }, 'AHr12b_Ib' : { '16' : (), '32' : (), '64' : () }, 'CHr13b_Ib' : { '16' : (), '32' : (), '64' : () }, 'DHr14b_Ib' : { '16' : (), '32' : (), '64' : () }, 'BHr15b_Ib' : { '16' : (), '32' : (), '64' : () }, 'rAXr8_Iv' : { '16' : (), '32' : (), '64' : () }, 'rCXr9_Iv' : { '16' : (), '32' : (), '64' : () }, 'rDXr10_Iv' : { '16' : (), '32' : (), '64' : () }, 'rBXr11_Iv' : { '16' : (), '32' : (), '64' : () }, 'rSPr12_Iv' : { '16' : (), '32' : (), '64' : () }, 'rBPr13_Iv' : { '16' : (), '32' : (), '64' : () }, 'rSIr14_Iv' : { '16' : (), '32' : (), '64' : () }, 'rDIr15_Iv' : { '16' : (), '32' : (), '64' : () }, 'R_C' : { '16' : (), '32' : (), '64' : () }, 'R_D' : { '16' : (), '32' : (), '64' : () }, 'C_R' : { '16' : (), '32' : (), '64' : () }, 'D_R' : { '16' : (), '32' : (), '64' : () }, 'W_V' : { '16' : ( "xmm3, [bx+si]", ), '32' : (), '64' : ( "xmm2, [rax+r8+0x10]", ) }, 'P_Ex' : { '16' : (), '32' : (), '64' : () }, 'Ex_V' : { '16' : (), '32' : (), '64' : () }, 'Ex_P' : { '16' : (), '32' : (), '64' : () }, 'P_VR' : { '16' : (), '32' : (), '64' : () }, 'M_V' : { '16' : (), '32' : (), '64' : () }, 'Gd_VR' : { '16' : (), '32' : (), '64' : () }, 'M_Gy' : { '16' : (), '32' : (), '64' : () }, 'M_P' : { '16' : (), '32' : (), '64' : () }, 'Q_P' : { '16' : (), '32' : (), '64' : () }, 'P_PR' : { '16' : (), '32' : ( "mm0, mm1", ), '64' : () }, 'V_PR' : { '16' : (), '32' : (), '64' : () }, 'Gv_Eb' : { '16' : (), '32' : (), '64' : () }, 'Ib_AL' : { '16' : (), '32' : (), '64' : () }, 'Ib_eAX' : { '16' : (), '32' : (), '64' : () }, 'DX_AL' : { '16' : (), '32' : (), '64' : () }, 'DX_eAX' : { '16' : (), '32' : (), '64' : () }, 'Gd_VR_Ib' : { '16' : (), '32' : ( 'eax, xmm0, 0x3', ), '64' : ( ) }, 'Gd_PR_Ib' : { '16' : (), '32' : ( 'eax, mm1, 0x9', ), '64' : () }, 'P_Ew_Ib' : { '16' : (), '32' : (), '64' : () }, 'V_Ew_Ib' : { '16' : (), '32' : (), '64' : () }, 'Gd_PR' : { '16' : (), '32' : (), '64' : () }, 'ES' : { '16' : (), '32' : (), '64' : () }, 'SS' : { '16' : (), '32' : (), '64' : () }, 'DS' : { '16' : (), '32' : (), '64' : () }, 'GS' : { '16' : (), '32' : (), '64' : () }, 'FS' : { '16' : (), '32' : (), '64' : () }, 'P_Q_Ib' : { '16' : (), '32' : ( "mm0, mm1, 0xb", ), '64' : () }, 'VR_Ib' : { '16' : (), '32' : (), '64' : () }, 'PR_Ib' : { '16' : (), '32' : (), '64' : () }, 'CS' : { '16' : (), '32' : (), '64' : () }, 'Iz' : { '16' : (), '32' : (), '64' : () }, 'Eb_I1' : { '16' : (), '32' : (), '64' : () }, 'Eb_CL' : { '16' : (), '32' : (), '64' : () }, 'Ev_CL' : { '16' : (), '32' : (), '64' : () }, 'Ev_I1' : { '16' : (), '32' : (), '64' : () }, 'Iw' : { '16' : (), '32' : (), '64' : () }, 'Ev_Gv_Ib' : { '16' : (), '32' : (), '64' : () }, 'Ev_Gv_CL' : { '16' : (), '32' : (), '64' : () }, 'MwRv' : { '16' : (), '32' : (), '64' : () }, 'Ed_Gd' : { '16' : (), '32' : (), '64' : () }, 'Eq_Gq' : { '16' : (), '32' : (), '64' : () }, 'Gd_Ed' : { '16' : (), '32' : (), '64' : () }, 'Gq_Eq' : { '16' : (), '32' : (), '64' : () }, 'rAXr8_rAX' : { '16' : (), '32' : (), '64' : () }, 'rCXr9_rAX' : { '16' : (), '32' : (), '64' : () }, 'rDXr10_rAX' : { '16' : (), '32' : (), '64' : () }, 'rBXr11_rAX' : { '16' : (), '32' : (), '64' : () }, 'rSPr12_rAX' : { '16' : (), '32' : (), '64' : () }, 'rBPr13_rAX' : { '16' : (), '32' : (), '64' : () }, 'rSIr14_rAX' : { '16' : (), '32' : (), '64' : () }, 'rDIr15_rAX' : { '16' : (), '32' : (), '64' : () }, 'Ev_V_Ib' : { '16' : (), '32' : ( 'dword [eax], xmm0, 0x10', ), '64' : () }, 'MbRv_V_Ib' : { '16' : (), '32' : ( 'byte [eax], xmm0, 0x10', ), '64' : () }, 'MdRy_V_Ib' : { '16' : (), '32' : ( 'dword [eax], xmm0, 0x10', ), '64' : ( 'rax, xmm2, 0x20', ) } }
operand_set = {'Ib': {'16': ('0x10',), '32': ('0x10',), '64': ('0x20',)}, 'Eb_Gb': {'16': ('[bx+si], al',), '32': ('[eax+ebx], ch', '[ebx+ecx*4], bl', '[bx+0x10], dh'), '64': ('[rax], r8b',)}, 'Ev_Gv': {'16': (), '32': ('[eax+0x1234], esi', '[bx+si+0x1234], esp', '[esp+0x10], ebp'), '64': ()}, 'Gb_Eb': {'16': ('al, bl',), '32': ('bl, cl',), '64': ('r8b, sil',)}, 'Gv_Ev': {'16': ('ax, bx',), '32': ('eax, ebx', 'ax, dx', 'ax, [ebx+0x100]'), '64': ('rax, r15', 'si, bp', 'eax, edx')}, 'AL_Ib': {'16': ('al, 0x10',), '32': ('al, 0x13',), '64': ('al, 0x14',)}, 'rAX_Iz': {'16': ('ax, 0x100',), '32': ('ax, 0x100', 'eax, 0x100'), '64': ('r13, 0x200',)}, 'Eb_Ib': {'16': ('al, 0x10', 'byte [eax], 0x10'), '32': ('dl, 0x10', 'byte [bp+si], 0x10'), '64': ('di, 0x10', 'byte [rax+rsi], 0x10')}, 'Ev_Iz': {'16': ('eax, 0x100000', 'word [bx+si], 0x1000'), '32': ('eax, 0x100000', 'word [bx+si], 0x1000', 'dword [bp+0x10], 0x100'), '64': ('rax, 0x100000', 'word [ebx+esi], 0x1000', 'dword [ebp+0x10], 0x100')}, 'Ev_Ib': {'16': (), '32': (), '64': ()}, 'V_W': {'16': (), '32': ('xmm3, xmm0', 'xmm7, [eax]'), '64': ('xmm9, [rax+r8-0x10]', 'xmm13, xmm1')}, 'V_VR': {'16': (), '32': ('xmm3, xmm0', 'xmm7, xmm2'), '64': ('xmm9, xmm1', 'xmm13, xmm1')}, 'Ew_Gw': {'16': (), '32': (), '64': ()}, 'Gv_Ed': {'16': (), '32': (), '64': ()}, 'Gv_M': {'16': (), '32': (), '64': ()}, 'rAXr8': {'16': (), '32': (), '64': ('rax', 'r8')}, 'rCXr9': {'16': ('ecx',), '32': ('ecx',), '64': ('r9', 'rcx')}, 'rDXr10': {'16': (), '32': (), '64': ('r10',)}, 'rBXr11': {'16': (), '32': (), '64': ()}, 'rSPr12': {'16': (), '32': (), '64': ()}, 'rBPr13': {'16': (), '32': (), '64': ()}, 'rSIr14': {'16': (), '32': (), '64': ()}, 'rDIr15': {'16': (), '32': (), '64': ('r15', 'rdi')}, 'Ev': {'16': (), '32': (), '64': ()}, 'Ep': {'16': (), '32': (), '64': ()}, 'Jz': {'16': (), '32': (), '64': ()}, 'Ap': {'16': (), '32': (), '64': ()}, 'M': {'16': (), '32': (), '64': ()}, 'V_W_Ib': {'16': (), '32': ('xmm0, xmm1, 0x10',), '64': ('xmm2, [r8+rdi+0x20], 0x28',)}, 'P_W': {'16': (), '32': ('mm0, [eax]', 'mm1, xmm0'), '64': ()}, 'V_Q': {'16': (), '32': ('xmm0, qword [eax]',), '64': ('xmm8, mm7',)}, 'Gy_Wss': {'16': (), '32': (), '64': ()}, 'Gy_Wsd': {'16': (), '32': (), '64': ()}, 'Gy_W': {'16': (), '32': (), '64': ()}, 'V_Ex': {'16': (), '32': (), '64': ()}, 'eAX': {'16': (), '32': (), '64': ()}, 'eCX': {'16': (), '32': (), '64': ()}, 'eDX': {'16': (), '32': ('dx', 'edx'), '64': ('edx',)}, 'eBX': {'16': (), '32': (), '64': ()}, 'eSP': {'16': (), '32': (), '64': ()}, 'eBP': {'16': (), '32': (), '64': ()}, 'eSI': {'16': (), '32': (), '64': ()}, 'eDI': {'16': (), '32': (), '64': ()}, 'Eb': {'16': (), '32': (), '64': ()}, 'Iw_Ib': {'16': (), '32': (), '64': ()}, 'Mq': {'16': (), '32': (), '64': ()}, 'Md': {'16': (), '32': (), '64': ()}, 'ST0_ST0': {'16': (), '32': ('st0, st0',), '64': ()}, 'ST1_ST0': {'16': (), '32': (), '64': ()}, 'ST2_ST0': {'16': (), '32': (), '64': ()}, 'ST3_ST0': {'16': (), '32': ('st3, st0',), '64': ()}, 'ST4_ST0': {'16': (), '32': (), '64': ()}, 'ST5_ST0': {'16': (), '32': (), '64': ()}, 'ST6_ST0': {'16': (), '32': (), '64': ()}, 'ST7_ST0': {'16': (), '32': (), '64': ()}, 'ST0_ST1': {'16': (), '32': (), '64': ()}, 'ST0_ST2': {'16': (), '32': (), '64': ()}, 'ST0_ST3': {'16': (), '32': (), '64': ()}, 'ST0_ST4': {'16': (), '32': (), '64': ()}, 'ST0_ST5': {'16': (), '32': ('st0, st5',), '64': ()}, 'ST0_ST6': {'16': (), '32': (), '64': ()}, 'ST0_ST7': {'16': (), '32': (), '64': ()}, 'Mt': {'16': (), '32': (), '64': ()}, 'ST0': {'16': (), '32': ('st0',), '64': ('st1',)}, 'ST1': {'16': (), '32': (), '64': ()}, 'ST2': {'16': (), '32': (), '64': ()}, 'ST3': {'16': (), '32': (), '64': ()}, 'ST4': {'16': (), '32': (), '64': ()}, 'ST5': {'16': (), '32': (), '64': ()}, 'ST6': {'16': (), '32': (), '64': ()}, 'ST7': {'16': (), '32': (), '64': ()}, 'Mw': {'16': (), '32': (), '64': ()}, 'AX': {'16': (), '32': (), '64': ()}, 'eAX_Ib': {'16': (), '32': (), '64': ()}, 'AL_DX': {'16': (), '32': (), '64': ()}, 'eAX_DX': {'16': (), '32': (), '64': ()}, 'Gv_Ev_Iz': {'16': (), '32': (), '64': ()}, 'Gv_Ev_Ib': {'16': (), '32': (), '64': ()}, 'Gd_Mo': {'16': (), '32': (), '64': ()}, 'Gq_Mo': {'16': (), '32': (), '64': ()}, 'Jb': {'16': (), '32': (), '64': ()}, 'Gv_Ew': {'16': (), '32': (), '64': ()}, 'V_M': {'16': (), '32': (), '64': ()}, 'Gz_M': {'16': (), '32': (), '64': ()}, 'Ew': {'16': (), '32': (), '64': ()}, 'P_Q': {'16': (), '32': ('mm0, mm6', 'mm1, [edi]'), '64': ('mm6, mm4', 'mm7, [rax+rbx]')}, 'Ev_S': {'16': (), '32': (), '64': ()}, 'S_Ev': {'16': (), '32': (), '64': ()}, 'AL_Ob': {'16': (), '32': (), '64': ()}, 'rAX_Ov': {'16': (), '32': (), '64': ()}, 'Ob_AL': {'16': (), '32': (), '64': ()}, 'Ov_rAX': {'16': (), '32': (), '64': ()}, 'ALr8b_Ib': {'16': (), '32': (), '64': ()}, 'CLr9b_Ib': {'16': (), '32': (), '64': ()}, 'DLr10b_Ib': {'16': (), '32': (), '64': ()}, 'BLr11b_Ib': {'16': (), '32': (), '64': ()}, 'AHr12b_Ib': {'16': (), '32': (), '64': ()}, 'CHr13b_Ib': {'16': (), '32': (), '64': ()}, 'DHr14b_Ib': {'16': (), '32': (), '64': ()}, 'BHr15b_Ib': {'16': (), '32': (), '64': ()}, 'rAXr8_Iv': {'16': (), '32': (), '64': ()}, 'rCXr9_Iv': {'16': (), '32': (), '64': ()}, 'rDXr10_Iv': {'16': (), '32': (), '64': ()}, 'rBXr11_Iv': {'16': (), '32': (), '64': ()}, 'rSPr12_Iv': {'16': (), '32': (), '64': ()}, 'rBPr13_Iv': {'16': (), '32': (), '64': ()}, 'rSIr14_Iv': {'16': (), '32': (), '64': ()}, 'rDIr15_Iv': {'16': (), '32': (), '64': ()}, 'R_C': {'16': (), '32': (), '64': ()}, 'R_D': {'16': (), '32': (), '64': ()}, 'C_R': {'16': (), '32': (), '64': ()}, 'D_R': {'16': (), '32': (), '64': ()}, 'W_V': {'16': ('xmm3, [bx+si]',), '32': (), '64': ('xmm2, [rax+r8+0x10]',)}, 'P_Ex': {'16': (), '32': (), '64': ()}, 'Ex_V': {'16': (), '32': (), '64': ()}, 'Ex_P': {'16': (), '32': (), '64': ()}, 'P_VR': {'16': (), '32': (), '64': ()}, 'M_V': {'16': (), '32': (), '64': ()}, 'Gd_VR': {'16': (), '32': (), '64': ()}, 'M_Gy': {'16': (), '32': (), '64': ()}, 'M_P': {'16': (), '32': (), '64': ()}, 'Q_P': {'16': (), '32': (), '64': ()}, 'P_PR': {'16': (), '32': ('mm0, mm1',), '64': ()}, 'V_PR': {'16': (), '32': (), '64': ()}, 'Gv_Eb': {'16': (), '32': (), '64': ()}, 'Ib_AL': {'16': (), '32': (), '64': ()}, 'Ib_eAX': {'16': (), '32': (), '64': ()}, 'DX_AL': {'16': (), '32': (), '64': ()}, 'DX_eAX': {'16': (), '32': (), '64': ()}, 'Gd_VR_Ib': {'16': (), '32': ('eax, xmm0, 0x3',), '64': ()}, 'Gd_PR_Ib': {'16': (), '32': ('eax, mm1, 0x9',), '64': ()}, 'P_Ew_Ib': {'16': (), '32': (), '64': ()}, 'V_Ew_Ib': {'16': (), '32': (), '64': ()}, 'Gd_PR': {'16': (), '32': (), '64': ()}, 'ES': {'16': (), '32': (), '64': ()}, 'SS': {'16': (), '32': (), '64': ()}, 'DS': {'16': (), '32': (), '64': ()}, 'GS': {'16': (), '32': (), '64': ()}, 'FS': {'16': (), '32': (), '64': ()}, 'P_Q_Ib': {'16': (), '32': ('mm0, mm1, 0xb',), '64': ()}, 'VR_Ib': {'16': (), '32': (), '64': ()}, 'PR_Ib': {'16': (), '32': (), '64': ()}, 'CS': {'16': (), '32': (), '64': ()}, 'Iz': {'16': (), '32': (), '64': ()}, 'Eb_I1': {'16': (), '32': (), '64': ()}, 'Eb_CL': {'16': (), '32': (), '64': ()}, 'Ev_CL': {'16': (), '32': (), '64': ()}, 'Ev_I1': {'16': (), '32': (), '64': ()}, 'Iw': {'16': (), '32': (), '64': ()}, 'Ev_Gv_Ib': {'16': (), '32': (), '64': ()}, 'Ev_Gv_CL': {'16': (), '32': (), '64': ()}, 'MwRv': {'16': (), '32': (), '64': ()}, 'Ed_Gd': {'16': (), '32': (), '64': ()}, 'Eq_Gq': {'16': (), '32': (), '64': ()}, 'Gd_Ed': {'16': (), '32': (), '64': ()}, 'Gq_Eq': {'16': (), '32': (), '64': ()}, 'rAXr8_rAX': {'16': (), '32': (), '64': ()}, 'rCXr9_rAX': {'16': (), '32': (), '64': ()}, 'rDXr10_rAX': {'16': (), '32': (), '64': ()}, 'rBXr11_rAX': {'16': (), '32': (), '64': ()}, 'rSPr12_rAX': {'16': (), '32': (), '64': ()}, 'rBPr13_rAX': {'16': (), '32': (), '64': ()}, 'rSIr14_rAX': {'16': (), '32': (), '64': ()}, 'rDIr15_rAX': {'16': (), '32': (), '64': ()}, 'Ev_V_Ib': {'16': (), '32': ('dword [eax], xmm0, 0x10',), '64': ()}, 'MbRv_V_Ib': {'16': (), '32': ('byte [eax], xmm0, 0x10',), '64': ()}, 'MdRy_V_Ib': {'16': (), '32': ('dword [eax], xmm0, 0x10',), '64': ('rax, xmm2, 0x20',)}}
"""Python serial number generator.""" class SerialGenerator: """Machine to create unique incrementing serial numbers. >>> serial = SerialGenerator(start=100) >>> serial.generate() 100 >>> serial.generate() 101 >>> serial.generate() 102 >>> serial.reset() >>> serial.generate() 100 """ def __init__(self, start=0): # Default to 0 if no value is provided self.start = start # Set the start attribute to whatever it was initialized with self.current = start # Match the current with the start self.reset() # Set the next to the starter number def reset(self): # Resets the count back to the originally initialized value self.current = self.start # Reset the current back to the start self.next = self.current + 1 # Start minus one, so we can increment and return in the same function def generate(self): self.next = self.next + 1 # Increment the next value return self.next - 1 # Give out the previous value test = SerialGenerator(0) print(F"Should be '0': '{test.current}'") print(F"Should be '1': '{test.next}'") print(F"Should be '1': '{test.generate()}'") print(F"Should be '2': '{test.generate()}'") print(F"Should be '3': '{test.generate()}'") print(F"Should be '4': '{test.generate()}'") print(F"Should be '5': '{test.generate()}'") test.reset() print(F"Should be '0': '{test.current}'")
"""Python serial number generator.""" class Serialgenerator: """Machine to create unique incrementing serial numbers. >>> serial = SerialGenerator(start=100) >>> serial.generate() 100 >>> serial.generate() 101 >>> serial.generate() 102 >>> serial.reset() >>> serial.generate() 100 """ def __init__(self, start=0): self.start = start self.current = start self.reset() def reset(self): self.current = self.start self.next = self.current + 1 def generate(self): self.next = self.next + 1 return self.next - 1 test = serial_generator(0) print(f"Should be '0': '{test.current}'") print(f"Should be '1': '{test.next}'") print(f"Should be '1': '{test.generate()}'") print(f"Should be '2': '{test.generate()}'") print(f"Should be '3': '{test.generate()}'") print(f"Should be '4': '{test.generate()}'") print(f"Should be '5': '{test.generate()}'") test.reset() print(f"Should be '0': '{test.current}'")
def calculation(operator,n_1,n_2): if operator == "multiply": return n_1 * n_2 elif operator == "divide": return n_1 // n_2 elif operator == "add": return n_1 + n_2 elif operator == "subtract": return n_1 - n_2 operator = input() n_1 = int(input()) n_2 = int(input()) print(calculation(operator,n_1,n_2))
def calculation(operator, n_1, n_2): if operator == 'multiply': return n_1 * n_2 elif operator == 'divide': return n_1 // n_2 elif operator == 'add': return n_1 + n_2 elif operator == 'subtract': return n_1 - n_2 operator = input() n_1 = int(input()) n_2 = int(input()) print(calculation(operator, n_1, n_2))
# -*- coding: utf-8 -*- """ flaskbb.utils.permissions ~~~~~~~~~~~~~~~~~~~~~~~~~ A place for all permission checks :copyright: (c) 2014 by the FlaskBB Team. :license: BSD, see LICENSE for more details. """ def check_perm(user, perm, forum, post_user_id=None): """Checks if the `user` has a specified `perm` in the `forum` If post_user_id is provided, it will also check if the user has created the post :param user: The user for whom we should check the permission :param perm: The permission. You can find a full list of available permissions here: <INSERT LINK TO DOCS> :param forum: The forum where we should check the permission against :param post_user_id: If post_user_id is given, it will also perform an check if the user is the owner of this topic or post. """ if can_moderate(user=user, forum=forum): return True if post_user_id and user.is_authenticated(): return user.permissions[perm] and user.id == post_user_id return not user.permissions['banned'] and user.permissions[perm] def is_moderator(user): """Returns ``True`` if the user is in a moderator or super moderator group. :param user: The user who should be checked. """ return user.permissions['mod'] or user.permissions['super_mod'] def is_admin(user): """Returns ``True`` if the user is a administrator. :param user: The user who should be checked. """ return user.permissions['admin'] def is_admin_or_moderator(user): """Returns ``True`` if the user is either a admin or in a moderator group :param user: The user who should be checked. """ return is_admin(user) or is_moderator(user) def can_moderate(user, forum=None, perm=None): """Checks if a user can moderate a forum or a user. He needs to be super moderator or a moderator of the specified forum. :param user: The user for whom we should check the permission. :param forum: The forum that should be checked. If no forum is specified it will check if the user has at least moderator permissions and then it will perform another permission check for ``mod`` permissions (they start with ``mod_``). :param perm: Optional - Check if the user also has the permission to do certain things in the forum. There are a few permissions where you need to be at least a moderator (or anything higher) in the forum and therefore you can pass a permission and it will check if the user has it. Those special permissions are documented here: <INSERT LINK TO DOCS> """ # Check if the user has moderator specific permissions (mod_ prefix) if is_admin_or_moderator(user) and forum is None: if perm is not None and perm.startswith("mod_"): return user.permissions[perm] # If no permission is definied, return False return False # check if the user is a moderation and is moderating the forum if user.permissions['mod'] and user in forum.moderators: return True # if the user is a super_mod or admin, he can moderate all forums return user.permissions['super_mod'] or user.permissions['admin'] def can_edit_post(user, post): """Check if the post can be edited by the user.""" topic = post.topic if can_moderate(user, topic.forum): return True if topic.locked or topic.forum.locked: return False return check_perm(user=user, perm='editpost', forum=post.topic.forum, post_user_id=post.user_id) def can_delete_post(user, post): """Check if the post can be deleted by the user.""" return check_perm(user=user, perm='deletepost', forum=post.topic.forum, post_user_id=post.user_id) def can_delete_topic(user, topic): """Check if the topic can be deleted by the user.""" return check_perm(user=user, perm='deletetopic', forum=topic.forum, post_user_id=topic.user_id) def can_post_reply(user, topic): """Check if the user is allowed to post in the forum.""" if can_moderate(user, topic.forum): return True if topic.locked or topic.forum.locked: return False return check_perm(user=user, perm='postreply', forum=topic.forum) def can_post_topic(user, forum): """Checks if the user is allowed to create a new topic in the forum.""" return check_perm(user=user, perm='posttopic', forum=forum) # Moderator permission checks def can_edit_user(user): """Check if the user is allowed to edit another users profile. Requires at least ``mod`` permissions. """ return can_moderate(user=user, perm="mod_edituser") def can_ban_user(user): """Check if the user is allowed to ban another user. Requires at least ``mod`` permissions. """ return can_moderate(user=user, perm="mod_banuser")
""" flaskbb.utils.permissions ~~~~~~~~~~~~~~~~~~~~~~~~~ A place for all permission checks :copyright: (c) 2014 by the FlaskBB Team. :license: BSD, see LICENSE for more details. """ def check_perm(user, perm, forum, post_user_id=None): """Checks if the `user` has a specified `perm` in the `forum` If post_user_id is provided, it will also check if the user has created the post :param user: The user for whom we should check the permission :param perm: The permission. You can find a full list of available permissions here: <INSERT LINK TO DOCS> :param forum: The forum where we should check the permission against :param post_user_id: If post_user_id is given, it will also perform an check if the user is the owner of this topic or post. """ if can_moderate(user=user, forum=forum): return True if post_user_id and user.is_authenticated(): return user.permissions[perm] and user.id == post_user_id return not user.permissions['banned'] and user.permissions[perm] def is_moderator(user): """Returns ``True`` if the user is in a moderator or super moderator group. :param user: The user who should be checked. """ return user.permissions['mod'] or user.permissions['super_mod'] def is_admin(user): """Returns ``True`` if the user is a administrator. :param user: The user who should be checked. """ return user.permissions['admin'] def is_admin_or_moderator(user): """Returns ``True`` if the user is either a admin or in a moderator group :param user: The user who should be checked. """ return is_admin(user) or is_moderator(user) def can_moderate(user, forum=None, perm=None): """Checks if a user can moderate a forum or a user. He needs to be super moderator or a moderator of the specified forum. :param user: The user for whom we should check the permission. :param forum: The forum that should be checked. If no forum is specified it will check if the user has at least moderator permissions and then it will perform another permission check for ``mod`` permissions (they start with ``mod_``). :param perm: Optional - Check if the user also has the permission to do certain things in the forum. There are a few permissions where you need to be at least a moderator (or anything higher) in the forum and therefore you can pass a permission and it will check if the user has it. Those special permissions are documented here: <INSERT LINK TO DOCS> """ if is_admin_or_moderator(user) and forum is None: if perm is not None and perm.startswith('mod_'): return user.permissions[perm] return False if user.permissions['mod'] and user in forum.moderators: return True return user.permissions['super_mod'] or user.permissions['admin'] def can_edit_post(user, post): """Check if the post can be edited by the user.""" topic = post.topic if can_moderate(user, topic.forum): return True if topic.locked or topic.forum.locked: return False return check_perm(user=user, perm='editpost', forum=post.topic.forum, post_user_id=post.user_id) def can_delete_post(user, post): """Check if the post can be deleted by the user.""" return check_perm(user=user, perm='deletepost', forum=post.topic.forum, post_user_id=post.user_id) def can_delete_topic(user, topic): """Check if the topic can be deleted by the user.""" return check_perm(user=user, perm='deletetopic', forum=topic.forum, post_user_id=topic.user_id) def can_post_reply(user, topic): """Check if the user is allowed to post in the forum.""" if can_moderate(user, topic.forum): return True if topic.locked or topic.forum.locked: return False return check_perm(user=user, perm='postreply', forum=topic.forum) def can_post_topic(user, forum): """Checks if the user is allowed to create a new topic in the forum.""" return check_perm(user=user, perm='posttopic', forum=forum) def can_edit_user(user): """Check if the user is allowed to edit another users profile. Requires at least ``mod`` permissions. """ return can_moderate(user=user, perm='mod_edituser') def can_ban_user(user): """Check if the user is allowed to ban another user. Requires at least ``mod`` permissions. """ return can_moderate(user=user, perm='mod_banuser')
class Solution: def nextGreatestLetter(self, letters: List[str], target: str) -> str: if target >= letters[-1]: return letters[0] left, right = 0, len(letters) while left < right: mid = left + (right - left) // 2 if letters[mid] <= target: left = mid + 1 else: right = mid return letters[left]
class Solution: def next_greatest_letter(self, letters: List[str], target: str) -> str: if target >= letters[-1]: return letters[0] (left, right) = (0, len(letters)) while left < right: mid = left + (right - left) // 2 if letters[mid] <= target: left = mid + 1 else: right = mid return letters[left]
# Copyright (c) 2019-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # def f_gold ( keypad , n ) : if ( not keypad or n <= 0 ) : return 0 if ( n == 1 ) : return 10 odd = [ 0 ] * 10 even = [ 0 ] * 10 i = 0 j = 0 useOdd = 0 totalCount = 0 for i in range ( 10 ) : odd [ i ] = 1 for j in range ( 2 , n + 1 ) : useOdd = 1 - useOdd if ( useOdd == 1 ) : even [ 0 ] = odd [ 0 ] + odd [ 8 ] even [ 1 ] = odd [ 1 ] + odd [ 2 ] + odd [ 4 ] even [ 2 ] = odd [ 2 ] + odd [ 1 ] + odd [ 3 ] + odd [ 5 ] even [ 3 ] = odd [ 3 ] + odd [ 2 ] + odd [ 6 ] even [ 4 ] = odd [ 4 ] + odd [ 1 ] + odd [ 5 ] + odd [ 7 ] even [ 5 ] = odd [ 5 ] + odd [ 2 ] + odd [ 4 ] + odd [ 8 ] + odd [ 6 ] even [ 6 ] = odd [ 6 ] + odd [ 3 ] + odd [ 5 ] + odd [ 9 ] even [ 7 ] = odd [ 7 ] + odd [ 4 ] + odd [ 8 ] even [ 8 ] = odd [ 8 ] + odd [ 0 ] + odd [ 5 ] + odd [ 7 ] + odd [ 9 ] even [ 9 ] = odd [ 9 ] + odd [ 6 ] + odd [ 8 ] else : odd [ 0 ] = even [ 0 ] + even [ 8 ] odd [ 1 ] = even [ 1 ] + even [ 2 ] + even [ 4 ] odd [ 2 ] = even [ 2 ] + even [ 1 ] + even [ 3 ] + even [ 5 ] odd [ 3 ] = even [ 3 ] + even [ 2 ] + even [ 6 ] odd [ 4 ] = even [ 4 ] + even [ 1 ] + even [ 5 ] + even [ 7 ] odd [ 5 ] = even [ 5 ] + even [ 2 ] + even [ 4 ] + even [ 8 ] + even [ 6 ] odd [ 6 ] = even [ 6 ] + even [ 3 ] + even [ 5 ] + even [ 9 ] odd [ 7 ] = even [ 7 ] + even [ 4 ] + even [ 8 ] odd [ 8 ] = even [ 8 ] + even [ 0 ] + even [ 5 ] + even [ 7 ] + even [ 9 ] odd [ 9 ] = even [ 9 ] + even [ 6 ] + even [ 8 ] totalCount = 0 if ( useOdd == 1 ) : for i in range ( 10 ) : totalCount += even [ i ] else : for i in range ( 10 ) : totalCount += odd [ i ] return totalCount #TOFILL if __name__ == '__main__': param = [ ([[' ', 'A', 'C', 'K', 'R', 'R', 'V', 'c', 'd', 'i', 'i', 'j', 'm', 'o', 'q', 'q', 'r', 'r', 'v', 'v', 'x', 'z'], ['B', 'D', 'I', 'M', 'N', 'Q', 'R', 'Z', 'c', 'f', 'i', 'j', 'j', 'l', 'l', 'n', 'p', 'q', 's', 't', 't', 'w'], ['A', 'F', 'F', 'G', 'H', 'J', 'K', 'K', 'N', 'V', 'V', 'b', 'c', 'c', 'g', 'i', 'j', 'l', 'l', 's', 't', 'y'], [' ', 'A', 'B', 'B', 'E', 'H', 'I', 'J', 'J', 'P', 'Q', 'T', 'U', 'V', 'Z', 'c', 'c', 'j', 'p', 'w', 'y', 'z'], [' ', ' ', 'A', 'C', 'F', 'G', 'H', 'M', 'N', 'R', 'R', 'V', 'c', 'i', 'j', 'o', 'p', 'p', 'q', 'r', 'w', 'y'], [' ', ' ', 'C', 'C', 'D', 'H', 'I', 'J', 'K', 'O', 'S', 'X', 'Y', 'f', 'h', 'h', 'o', 'p', 'p', 'u', 'u', 'w'], ['B', 'C', 'D', 'H', 'M', 'M', 'Q', 'Q', 'R', 'S', 'X', 'Z', 'e', 'e', 'e', 'j', 'k', 'l', 'm', 'o', 'v', 'w'], ['A', 'C', 'C', 'D', 'H', 'H', 'I', 'J', 'L', 'L', 'L', 'M', 'N', 'S', 'U', 'c', 'd', 'f', 'f', 's', 'u', 'y'], ['A', 'B', 'D', 'D', 'I', 'J', 'K', 'L', 'L', 'M', 'P', 'S', 'S', 'Y', 'b', 'e', 'h', 'j', 'm', 'o', 'q', 's'], [' ', 'B', 'E', 'H', 'H', 'J', 'M', 'P', 'S', 'T', 'U', 'V', 'Z', 'd', 'j', 'm', 'm', 'p', 'q', 'v', 'w', 'w'], ['B', 'E', 'F', 'G', 'H', 'M', 'M', 'M', 'N', 'O', 'Q', 'R', 'T', 'V', 'a', 'c', 'g', 'g', 'i', 's', 'x', 'y'], ['A', 'E', 'G', 'J', 'O', 'R', 'R', 'S', 'T', 'W', 'a', 'b', 'f', 'h', 'h', 'i', 'm', 'n', 's', 'u', 'v', 'y'], ['B', 'D', 'E', 'H', 'I', 'I', 'K', 'M', 'N', 'P', 'Q', 'S', 'a', 'e', 'i', 'j', 'm', 'o', 'p', 'r', 'x', 'z'], ['A', 'G', 'I', 'K', 'K', 'L', 'O', 'P', 'U', 'U', 'X', 'X', 'Z', 'a', 'c', 'f', 'g', 'i', 'l', 'o', 'o', 'v'], [' ', ' ', 'E', 'H', 'J', 'J', 'L', 'M', 'N', 'O', 'P', 'S', 'S', 'X', 'c', 'f', 'g', 'r', 'u', 'v', 'x', 'z'], ['C', 'E', 'F', 'F', 'H', 'H', 'I', 'K', 'M', 'M', 'U', 'Z', 'e', 'e', 'h', 'h', 'h', 'j', 'k', 'k', 'p', 'r'], [' ', ' ', ' ', 'C', 'G', 'I', 'J', 'O', 'O', 'P', 'T', 'V', 'Y', 'b', 'j', 'n', 'o', 'o', 's', 'u', 'w', 'x'], ['A', 'D', 'F', 'F', 'H', 'H', 'N', 'R', 'S', 'W', 'W', 'Y', 'Y', 'b', 'f', 'i', 'k', 'o', 'u', 'y', 'y', 'z'], [' ', 'C', 'G', 'I', 'I', 'L', 'P', 'S', 'X', 'Y', 'd', 'd', 'f', 'g', 'g', 'k', 'm', 'o', 'r', 'r', 'r', 'x'], ['F', 'I', 'J', 'N', 'P', 'P', 'Q', 'Q', 'R', 'X', 'Y', 'a', 'b', 'h', 'h', 'j', 'l', 'm', 'n', 'p', 'r', 'y'], [' ', 'C', 'D', 'E', 'F', 'L', 'Q', 'Q', 'V', 'c', 'g', 'h', 'k', 'k', 'l', 'l', 'n', 'o', 'p', 'r', 'u', 'x'], [' ', 'A', 'G', 'K', 'L', 'M', 'T', 'U', 'U', 'W', 'Z', 'a', 'f', 'i', 'k', 'k', 'n', 'n', 'p', 'q', 'v', 'z']],13,), ([['3', '5', '1', '5', '6', '7', '7', '3', '0', '4', '7', '6', '1', '4', '0', '6', '3', '4', '1', '3', '1', '2', '9', '8', '7', '8', '0', '2', '7', '6', '1', '0', '3', '8', '0', '5', '9', '3', '9', '9', '8', '6'], ['0', '3', '8', '5', '0', '2', '0', '6', '1', '8', '7', '2', '8', '6', '0', '3', '9', '4', '9', '5', '7', '4', '3', '7', '4', '3', '8', '6', '1', '5', '4', '8', '0', '8', '3', '2', '7', '7', '6', '9', '7', '9'], ['6', '7', '1', '1', '7', '2', '5', '3', '2', '8', '4', '7', '8', '6', '1', '5', '2', '1', '6', '5', '7', '6', '8', '6', '8', '8', '1', '6', '3', '1', '1', '7', '1', '6', '4', '9', '2', '8', '2', '6', '3', '4'], ['8', '7', '9', '2', '0', '6', '6', '6', '2', '3', '1', '4', '8', '2', '3', '5', '5', '9', '2', '8', '0', '3', '2', '7', '2', '0', '2', '7', '0', '6', '5', '8', '2', '9', '3', '9', '8', '1', '9', '7', '9', '7'], ['9', '8', '1', '5', '0', '9', '9', '7', '7', '8', '4', '1', '8', '0', '4', '6', '7', '0', '5', '8', '6', '5', '6', '5', '1', '4', '0', '4', '3', '4', '6', '7', '6', '7', '3', '5', '4', '5', '6', '7', '1', '1'], ['4', '4', '4', '9', '8', '8', '7', '5', '3', '1', '8', '4', '8', '1', '0', '4', '9', '8', '9', '5', '2', '7', '5', '3', '4', '8', '2', '4', '7', '5', '0', '3', '6', '2', '5', '6', '3', '1', '9', '4', '8', '9'], ['7', '2', '7', '6', '2', '8', '8', '8', '1', '1', '5', '4', '6', '5', '3', '0', '3', '7', '4', '0', '0', '2', '4', '1', '8', '0', '0', '7', '6', '4', '7', '1', '8', '8', '1', '8', '8', '2', '3', '1', '7', '2'], ['2', '7', '5', '8', '7', '6', '2', '9', '9', '0', '6', '1', '7', '8', '1', '3', '3', '1', '5', '7', '9', '8', '2', '0', '7', '6', '0', '0', '1', '1', '5', '8', '6', '7', '7', '9', '9', '0', '4', '4', '3', '4'], ['0', '9', '9', '0', '5', '4', '9', 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'G', 's', 't', 'D', 'r', 'A'], ['f', 'I', 'v', 'M', 'x', 'K', 'O', 'i', 'p', 'y', 'o', 'Z', 'Y', 's', 'V', 'f', 'i', 'V', 'x', 'K', 'p', 'a', 'L', 'V', 'r', 'B', 'v', 'd', 'M', 'e', 'X', 'h', 'F', 'S', 'p', 'Z', 'J', 'I'], ['H', 'V', 'a', 'a', 'i', 'k', 'D', 'e', 'Z', 'i', 'h', 'v', 'A', 'G', 'N', 'Q', 'r', 'e', 'A', 'q', 'n', 'a', 'z', 'N', 'b', 'y', 'R', 'z', 'c', 'I', 'A', 'h', 'z', 'o', 'F', 'w', 'p', 'h'], ['X', 'z', 'K', 'b', 'z', 'E', 'u', 'E', 'h', 'L', 'X', 'K', 'Q', 'r', 'f', 'Z', 'k', 'p', 'S', 'b', 'l', 'N', 'M', 'u', 'f', 'z', 'p', 'f', 'Q', 'U', 'q', 'g', 'F', 'K', 'D', 'Q', 'H', 'K'], ['S', 'U', 'o', 'u', 'z', 'G', 'q', 'w', 'N', 'B', 'c', 'u', 'k', 'n', 'v', 'S', 'O', 'Z', 'I', 'F', 'T', 'Z', 'D', 'g', 'w', 'K', 'G', 'C', 'B', 'M', 'e', 'W', 'r', 'v', 'l', 't', 't', 'u'], ['P', 'e', 'm', 'H', 'W', 'b', 's', 'C', 'j', 'U', 'E', 'a', 'J', 'o', 'G', ' ', 'H', 'T', 'f', 'j', 'N', 'N', 'E', 'u', 'W', 'O', 'X', 'e', 'm', 'w', ' ', 'f', 'U', 'Y', 'N', 'X', 'I', 'j'], [' ', 'v', 'q', 'O', 'd', 'p', 'd', 'Q', 'N', 'A', 'v', 'u', 'o', 'q', ' ', 'S', 'H', 'b', 'M', 'J', 'b', 'G', 'L', 'N', 'w', 'r', 'G', 'Q', 'E', 'R', 'y', 'a', 'k', 'S', 'W', 'I', 'P', 'd'], ['N', 'z', 'F', 'X', 'x', 'J', 'q', 'G', 'Z', 'Z', 'E', ' ', 'q', 'M', 'L', 'B', 'y', 'k', 'h', 'R', 'e', 'R', 'N', 'p', 'D', 'K', 'n', 'g', 'E', 'w', 'P', 'v', 'J', 'P', ' ', 'q', 'N', 's'], ['u', 'Q', 'F', 'j', 'r', 'I', 'X', 'C', 'E', 'R', 'R', 'E', 'D', 'p', 'n', 'a', 'X', 'Q', 'J', 'F', 'F', 'x', 's', 'P', 'o', 'a', 't', 'f', 'S', 'n', 'P', 'S', 'k', 's', 'j', 'M', 'L', 'l'], ['F', ' ', 'n', 'P', 'P', 'N', 'D', ' ', 'N', 'W', 'G', 'm', 'p', 'P', 'R', 'L', 'b', 'c', 'q', 'O', 'k', 'Y', 'p', 'I', 'b', 'P', 'Y', 'Y', 'F', 'c', 'p', 'W', 'e', 'R', 'k', 'j', 'V', 'h'], ['Q', 'J', 'g', 'D', 'S', 'U', 'm', 'z', 'M', 'n', 'a', 'V', 'q', 'P', 'X', 'w', 's', 'v', 'J', 'J', 'h', 'n', 'J', 'd', 'Z', 'M', 'v', 'M', 'h', 'Q', ' ', 'W', 'V', 's', 'O', 'A', 'x', 'j'], ['N', 'i', 'm', 'F', 'H', 'C', ' ', 'x', ' ', 't', 'g', 'q', 'j', 'd', 'n', 'g', 'l', 'U', 'k', 'U', 'q', 'h', 'A', 'c', 'u', 'o', 'U', 'z', 'D', 'N', 'p', 'R', 'K', 'k', 'T', 'i', 'D', 'i'], ['P', 'r', 'W', 'S', 's', 'U', 'k', 'l', 'e', 's', 'W', 'd', 'Y', 'q', 'p', 'Q', 'z', 'F', 'Z', 's', 'x', 'h', 'J', 'q', 'B', 'F', 'R', 'm', 'l', 'f', 'H', 'U', 'd', 'V', 'o', 'b', 't', 'B'], ['R', 'q', 'm', 'q', 'h', 'q', 'i', 'P', 'N', 'O', 'q', 'i', 'V', 'O', 'n', 'K', 'J', 'd', 'E', 'b', 'V', 'O', 'u', 'S', 'l', 'u', 'A', 'k', 'd', 'r', 'x', 'g', 'y', 'U', 'A', 'q', 'p', 'd'], ['r', 'h', 'h', 'L', 'j', 'd', 'b', 'o', 'v', 'D', 'd', 'M', 'f', 'y', 'Q', 'V', ' ', 'j', 'a', 'T', 'X', 'a', 't', 'I', 'Z', 'A', 'P', 'l', 'Y', 'j', 'c', 'A', 'A', 'e', 'r', 'H', 'u', 'f'], ['a', 'Y', 'J', 'J', 'k', 'L', 'x', 'l', 'O', 'n', 'J', 'I', 'l', 'x', 'V', 'S', 'S', 'l', 'D', 'E', 'm', 'd', ' ', 'j', 'Q', 'L', 't', 'c', 'o', 'D', 'z', 'A', 'x', 'u', 'F', 'E', 'v', 'a'], ['o', 'K', 'F', 'V', 'L', 'G', 't', 'A', 'd', 'b', 'P', 'F', 'K', 'N', 'J', 'e', 'B', 'T', 'H', 'n', 'D', 'b', 'm', 'T', 'L', 'S', 'n', 'D', 'b', 's', 'I', 't', 'O', 'a', 'm', 'a', 'A', 'n'], ['L', 'o', 'z', 'L', 'a', 'd', 'T', 'D', 'd', 'S', 'D', 'a', 'm', 'z', 'y', 'y', 'A', 'j', 'v', 'H', 'F', 't', 'A', 'f', 'G', 'E', ' ', 'x', ' ', 'm', 'L', 'I', 'O', 'Z', 'C', 'y', 'X', 'x'], [' ', 'I', 'i', 's', 'E', 'N', 'm', 'k', 'l', 'n', 's', 's', 'P', 'M', 'x', 'i', 'I', 'K', 'k', 'm', 'k', 'X', 'n', 'W', 'k', 'F', 'D', 'c', 'l', 'd', 'n', 'o', 'H', 'T', 'B', 'g', 'S', 'v'], ['g', 'p', 'd', 'A', 'Y', 'b', 'L', 'P', 'v', 'j', 'O', 'C', 's', 'g', 'J', 'm', 'P', 'd', 'H', 'c', 'h', 'U', 'P', 'J', 'h', 'c', 'f', 'W', 'l', 'K', 'F', 'T', 's', 'Z', 'n', 'v', ' ', 'p'], ['O', 'H', 'J', 'y', 'B', 'c', 'M', 'Q', 'F', 'k', 'S', 'o', 'b', 'M', 'c', 'i', 'K', 'l', 'a', 'Y', 'v', 'O', 'U', 'R', 'B', 'o', 'H', 'g', 'o', ' ', 'H', 'l', 'g', 'e', 'L', 'x', 'M', 'z'], ['q', 'u', 'A', 'O', 'u', 'f', 'r', 'U', 'F', 'g', 'f', 'g', 'R', 'E', 'W', 'H', 'n', 'e', 'N', 'Z', 'y', 'M', 'j', 'L', 'T', 'b', 'v', 'N', 'u', 'X', 'E', 'y', 'g', 'Y', ' ', 'n', 'T', 'r'], ['k', 'n', 'F', 'B', 'X', 't', 'j', 'a', 'b', 'I', 'C', 'O', 'R', 'h', 'c', 'C', 'F', 'E', 'l', 'Y', 's', 'D', 'p', 'j', 'J', ' ', 'y', 'u', 'x', 'q', ' ', 'P', 'J', 'P', 't', 'g', 'X', 'j'], ['M', 'u', 'Q', 'x', 'r', 'n', 'U', 'w', 'w', ' ', 'H', 'P', ' ', 'V', 'X', 'Y', 't', 'Z', 'F', 'H', 'X', 'N', 'y', 'E', 'j', 'I', 'Q', 'P', ' ', 'y', 'e', 'I', 'o', 'b', 'j', 'E', 'p', 'G'], ['n', 'd', 'T', 'f', 'a', 'D', 's', 'i', 'b', 'm', 'K', 'h', 'c', 'G', 'I', 'p', 'd', 'x', 'I', 'G', 'B', 'q', 'k', 'A', 'B', 'M', 'g', 'S', 't', 'K', 'b', 'm', 'm', 'u', 'k', ' ', 'U', 'Z'], ['C', 'v', 'L', 'k', 'x', 'L', ' ', 'm', 'x', 'P', 'C', 'X', 'n', 'w', 'd', 'E', 'O', 'D', 'Q', 'i', 'A', 'p', 'K', 'r', 'n', 'Y', 'T', 'v', 'K', 'O', 'M', 'w', 'p', 'P', 'R', 'X', 'I', 'g'], ['l', 'M', 'd', 'j', 'M', 'd', 'y', 'x', ' ', 'o', 'E', 't', 'X', 'w', 'c', 'H', 'r', 'q', 'd', 'Q', 'I', 'g', 'T', 'F', 't', 'q', 'A', 'e', 'm', 'y', 'G', 't', 'v', 'G', 'r', 'x', 'g', 'H'], ['T', 'f', 'N', 'W', 'K', 'T', 'b', 'O', 'J', 'B', 'a', 'd', 'l', 'y', 's', 's', 'W', 'D', 't', 'z', 'D', 'c', 'k', 'l', 'e', 'Q', 'A', 'J', 'J', 'k', 'M', 'G', 'F', 'S', 'C', 'N', 'x', 'X']],32,) ] n_success = 0 for i, parameters_set in enumerate(param): if f_filled(*parameters_set) == f_gold(*parameters_set): n_success+=1 print("#Results: %i, %i" % (n_success, len(param)))
def f_gold(keypad, n): if not keypad or n <= 0: return 0 if n == 1: return 10 odd = [0] * 10 even = [0] * 10 i = 0 j = 0 use_odd = 0 total_count = 0 for i in range(10): odd[i] = 1 for j in range(2, n + 1): use_odd = 1 - useOdd if useOdd == 1: even[0] = odd[0] + odd[8] even[1] = odd[1] + odd[2] + odd[4] even[2] = odd[2] + odd[1] + odd[3] + odd[5] even[3] = odd[3] + odd[2] + odd[6] even[4] = odd[4] + odd[1] + odd[5] + odd[7] even[5] = odd[5] + odd[2] + odd[4] + odd[8] + odd[6] even[6] = odd[6] + odd[3] + odd[5] + odd[9] even[7] = odd[7] + odd[4] + odd[8] even[8] = odd[8] + odd[0] + odd[5] + odd[7] + odd[9] even[9] = odd[9] + odd[6] + odd[8] else: odd[0] = even[0] + even[8] odd[1] = even[1] + even[2] + even[4] odd[2] = even[2] + even[1] + even[3] + even[5] odd[3] = even[3] + even[2] + even[6] odd[4] = even[4] + even[1] + even[5] + even[7] odd[5] = even[5] + even[2] + even[4] + even[8] + even[6] odd[6] = even[6] + even[3] + even[5] + even[9] odd[7] = even[7] + even[4] + even[8] odd[8] = even[8] + even[0] + even[5] + even[7] + even[9] odd[9] = even[9] + even[6] + even[8] total_count = 0 if useOdd == 1: for i in range(10): total_count += even[i] else: for i in range(10): total_count += odd[i] return totalCount if __name__ == '__main__': param = [([[' ', 'A', 'C', 'K', 'R', 'R', 'V', 'c', 'd', 'i', 'i', 'j', 'm', 'o', 'q', 'q', 'r', 'r', 'v', 'v', 'x', 'z'], ['B', 'D', 'I', 'M', 'N', 'Q', 'R', 'Z', 'c', 'f', 'i', 'j', 'j', 'l', 'l', 'n', 'p', 'q', 's', 't', 't', 'w'], ['A', 'F', 'F', 'G', 'H', 'J', 'K', 'K', 'N', 'V', 'V', 'b', 'c', 'c', 'g', 'i', 'j', 'l', 'l', 's', 't', 'y'], [' ', 'A', 'B', 'B', 'E', 'H', 'I', 'J', 'J', 'P', 'Q', 'T', 'U', 'V', 'Z', 'c', 'c', 'j', 'p', 'w', 'y', 'z'], [' ', ' ', 'A', 'C', 'F', 'G', 'H', 'M', 'N', 'R', 'R', 'V', 'c', 'i', 'j', 'o', 'p', 'p', 'q', 'r', 'w', 'y'], [' ', ' ', 'C', 'C', 'D', 'H', 'I', 'J', 'K', 'O', 'S', 'X', 'Y', 'f', 'h', 'h', 'o', 'p', 'p', 'u', 'u', 'w'], ['B', 'C', 'D', 'H', 'M', 'M', 'Q', 'Q', 'R', 'S', 'X', 'Z', 'e', 'e', 'e', 'j', 'k', 'l', 'm', 'o', 'v', 'w'], ['A', 'C', 'C', 'D', 'H', 'H', 'I', 'J', 'L', 'L', 'L', 'M', 'N', 'S', 'U', 'c', 'd', 'f', 'f', 's', 'u', 'y'], ['A', 'B', 'D', 'D', 'I', 'J', 'K', 'L', 'L', 'M', 'P', 'S', 'S', 'Y', 'b', 'e', 'h', 'j', 'm', 'o', 'q', 's'], [' ', 'B', 'E', 'H', 'H', 'J', 'M', 'P', 'S', 'T', 'U', 'V', 'Z', 'd', 'j', 'm', 'm', 'p', 'q', 'v', 'w', 'w'], ['B', 'E', 'F', 'G', 'H', 'M', 'M', 'M', 'N', 'O', 'Q', 'R', 'T', 'V', 'a', 'c', 'g', 'g', 'i', 's', 'x', 'y'], ['A', 'E', 'G', 'J', 'O', 'R', 'R', 'S', 'T', 'W', 'a', 'b', 'f', 'h', 'h', 'i', 'm', 'n', 's', 'u', 'v', 'y'], ['B', 'D', 'E', 'H', 'I', 'I', 'K', 'M', 'N', 'P', 'Q', 'S', 'a', 'e', 'i', 'j', 'm', 'o', 'p', 'r', 'x', 'z'], ['A', 'G', 'I', 'K', 'K', 'L', 'O', 'P', 'U', 'U', 'X', 'X', 'Z', 'a', 'c', 'f', 'g', 'i', 'l', 'o', 'o', 'v'], [' ', ' ', 'E', 'H', 'J', 'J', 'L', 'M', 'N', 'O', 'P', 'S', 'S', 'X', 'c', 'f', 'g', 'r', 'u', 'v', 'x', 'z'], ['C', 'E', 'F', 'F', 'H', 'H', 'I', 'K', 'M', 'M', 'U', 'Z', 'e', 'e', 'h', 'h', 'h', 'j', 'k', 'k', 'p', 'r'], [' ', ' ', ' ', 'C', 'G', 'I', 'J', 'O', 'O', 'P', 'T', 'V', 'Y', 'b', 'j', 'n', 'o', 'o', 's', 'u', 'w', 'x'], ['A', 'D', 'F', 'F', 'H', 'H', 'N', 'R', 'S', 'W', 'W', 'Y', 'Y', 'b', 'f', 'i', 'k', 'o', 'u', 'y', 'y', 'z'], [' ', 'C', 'G', 'I', 'I', 'L', 'P', 'S', 'X', 'Y', 'd', 'd', 'f', 'g', 'g', 'k', 'm', 'o', 'r', 'r', 'r', 'x'], ['F', 'I', 'J', 'N', 'P', 'P', 'Q', 'Q', 'R', 'X', 'Y', 'a', 'b', 'h', 'h', 'j', 'l', 'm', 'n', 'p', 'r', 'y'], [' ', 'C', 'D', 'E', 'F', 'L', 'Q', 'Q', 'V', 'c', 'g', 'h', 'k', 'k', 'l', 'l', 'n', 'o', 'p', 'r', 'u', 'x'], [' ', 'A', 'G', 'K', 'L', 'M', 'T', 'U', 'U', 'W', 'Z', 'a', 'f', 'i', 'k', 'k', 'n', 'n', 'p', 'q', 'v', 'z']], 13), ([['3', '5', '1', '5', '6', '7', '7', '3', '0', '4', '7', '6', '1', '4', '0', '6', '3', '4', '1', '3', '1', '2', '9', '8', '7', '8', '0', '2', '7', '6', '1', '0', '3', '8', '0', '5', '9', '3', '9', '9', '8', '6'], ['0', '3', '8', '5', '0', '2', '0', '6', '1', 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'd'], ['r', 'h', 'h', 'L', 'j', 'd', 'b', 'o', 'v', 'D', 'd', 'M', 'f', 'y', 'Q', 'V', ' ', 'j', 'a', 'T', 'X', 'a', 't', 'I', 'Z', 'A', 'P', 'l', 'Y', 'j', 'c', 'A', 'A', 'e', 'r', 'H', 'u', 'f'], ['a', 'Y', 'J', 'J', 'k', 'L', 'x', 'l', 'O', 'n', 'J', 'I', 'l', 'x', 'V', 'S', 'S', 'l', 'D', 'E', 'm', 'd', ' ', 'j', 'Q', 'L', 't', 'c', 'o', 'D', 'z', 'A', 'x', 'u', 'F', 'E', 'v', 'a'], ['o', 'K', 'F', 'V', 'L', 'G', 't', 'A', 'd', 'b', 'P', 'F', 'K', 'N', 'J', 'e', 'B', 'T', 'H', 'n', 'D', 'b', 'm', 'T', 'L', 'S', 'n', 'D', 'b', 's', 'I', 't', 'O', 'a', 'm', 'a', 'A', 'n'], ['L', 'o', 'z', 'L', 'a', 'd', 'T', 'D', 'd', 'S', 'D', 'a', 'm', 'z', 'y', 'y', 'A', 'j', 'v', 'H', 'F', 't', 'A', 'f', 'G', 'E', ' ', 'x', ' ', 'm', 'L', 'I', 'O', 'Z', 'C', 'y', 'X', 'x'], [' ', 'I', 'i', 's', 'E', 'N', 'm', 'k', 'l', 'n', 's', 's', 'P', 'M', 'x', 'i', 'I', 'K', 'k', 'm', 'k', 'X', 'n', 'W', 'k', 'F', 'D', 'c', 'l', 'd', 'n', 'o', 'H', 'T', 'B', 'g', 'S', 'v'], ['g', 'p', 'd', 'A', 'Y', 'b', 'L', 'P', 'v', 'j', 'O', 'C', 's', 'g', 'J', 'm', 'P', 'd', 'H', 'c', 'h', 'U', 'P', 'J', 'h', 'c', 'f', 'W', 'l', 'K', 'F', 'T', 's', 'Z', 'n', 'v', ' ', 'p'], ['O', 'H', 'J', 'y', 'B', 'c', 'M', 'Q', 'F', 'k', 'S', 'o', 'b', 'M', 'c', 'i', 'K', 'l', 'a', 'Y', 'v', 'O', 'U', 'R', 'B', 'o', 'H', 'g', 'o', ' ', 'H', 'l', 'g', 'e', 'L', 'x', 'M', 'z'], ['q', 'u', 'A', 'O', 'u', 'f', 'r', 'U', 'F', 'g', 'f', 'g', 'R', 'E', 'W', 'H', 'n', 'e', 'N', 'Z', 'y', 'M', 'j', 'L', 'T', 'b', 'v', 'N', 'u', 'X', 'E', 'y', 'g', 'Y', ' ', 'n', 'T', 'r'], ['k', 'n', 'F', 'B', 'X', 't', 'j', 'a', 'b', 'I', 'C', 'O', 'R', 'h', 'c', 'C', 'F', 'E', 'l', 'Y', 's', 'D', 'p', 'j', 'J', ' ', 'y', 'u', 'x', 'q', ' ', 'P', 'J', 'P', 't', 'g', 'X', 'j'], ['M', 'u', 'Q', 'x', 'r', 'n', 'U', 'w', 'w', ' ', 'H', 'P', ' ', 'V', 'X', 'Y', 't', 'Z', 'F', 'H', 'X', 'N', 'y', 'E', 'j', 'I', 'Q', 'P', ' ', 'y', 'e', 'I', 'o', 'b', 'j', 'E', 'p', 'G'], ['n', 'd', 'T', 'f', 'a', 'D', 's', 'i', 'b', 'm', 'K', 'h', 'c', 'G', 'I', 'p', 'd', 'x', 'I', 'G', 'B', 'q', 'k', 'A', 'B', 'M', 'g', 'S', 't', 'K', 'b', 'm', 'm', 'u', 'k', ' ', 'U', 'Z'], ['C', 'v', 'L', 'k', 'x', 'L', ' ', 'm', 'x', 'P', 'C', 'X', 'n', 'w', 'd', 'E', 'O', 'D', 'Q', 'i', 'A', 'p', 'K', 'r', 'n', 'Y', 'T', 'v', 'K', 'O', 'M', 'w', 'p', 'P', 'R', 'X', 'I', 'g'], ['l', 'M', 'd', 'j', 'M', 'd', 'y', 'x', ' ', 'o', 'E', 't', 'X', 'w', 'c', 'H', 'r', 'q', 'd', 'Q', 'I', 'g', 'T', 'F', 't', 'q', 'A', 'e', 'm', 'y', 'G', 't', 'v', 'G', 'r', 'x', 'g', 'H'], ['T', 'f', 'N', 'W', 'K', 'T', 'b', 'O', 'J', 'B', 'a', 'd', 'l', 'y', 's', 's', 'W', 'D', 't', 'z', 'D', 'c', 'k', 'l', 'e', 'Q', 'A', 'J', 'J', 'k', 'M', 'G', 'F', 'S', 'C', 'N', 'x', 'X']], 32)] n_success = 0 for (i, parameters_set) in enumerate(param): if f_filled(*parameters_set) == f_gold(*parameters_set): n_success += 1 print('#Results: %i, %i' % (n_success, len(param)))
def log(rv): """ Returns the natural logarithm of a random variable """ return rv.log() def exp(rv): """ Returns the exponentiation of a random variable """ return rv.exp() def sqrt(rv): """ Returns the square root of a random variable """ return rv**0.5 def pow(rv, k): """ Returns the square of a random variable """ return rv**k def abs(rv): """ Returns the absolute value of a random variable """ return rv.abs()
def log(rv): """ Returns the natural logarithm of a random variable """ return rv.log() def exp(rv): """ Returns the exponentiation of a random variable """ return rv.exp() def sqrt(rv): """ Returns the square root of a random variable """ return rv ** 0.5 def pow(rv, k): """ Returns the square of a random variable """ return rv ** k def abs(rv): """ Returns the absolute value of a random variable """ return rv.abs()
#!/usr/bin/env python # -*- coding: utf-8 -*- DENIED_ACTIONS = { "access-analyzer:DeleteAnalyzer", "cloudtrail:CreateTrail", "cloudtrail:DeleteTrail", "cloudtrail:UpdateTrail", "cloudtrail:StopLogging", "config:DeleteConfigRule", "config:DeleteConfigurationRecorder", "config:DeleteDeliveryChannel", "config:StopConfigurationRecorder", "ec2:AcceptVpcPeeringConnection", "ec2:AttachInternetGateway", "ec2:AttachVpnGateway", "ec2:CreateInternetGateway", "ec2:CreateEgressOnlyInternetGateway", "ec2:CreateNatGateway", "ec2:CreateTransitGateway", "ec2:CreateVpnConnection", "ec2:CreateVpnGateway", "ec2:CreateVpcPeeringConnection", "ec2:DeleteEgressOnlyInternetGateway", "ec2:DeleteInternetGateway", "ec2:DeleteNatGateway", "ec2:DeleteTransitGateway", "ec2:DetachClassicLinkVpc", "ec2:DetachInternetGateway", "ec2:DetachVpnGateway", "ec2:DisableEbsEncryptionByDefault", "ec2:ModifyInstanceMetadataOptions", "globalaccelerator:CreateAccelerator", "globalaccelerator:CreateEndpointGroup", "globalaccelerator:CreateListener", "globalaccelerator:UpdateAccelerator", "globalaccelerator:UpdateAcceleratorAttributes", "globalaccelerator:UpdateEndpointGroup", "globalaccelerator:UpdateListener", "guardduty:DeleteDetector", "guardduty:DisassociateFromMasterAccount", "guardduty:UpdateDetector", "guardduty:CreateFilter", "guardduty:CreateIPSet", "organizations:LeaveOrganization", "s3:PutAccountPublicAccessBlock", } def audit(policy): actions = policy.get_allowed_actions() print(f"ACTIONS: {actions}") denied_actions_in_policy = [] for action in actions: if action in DENIED_ACTIONS: denied_actions_in_policy.append(action) if denied_actions_in_policy: policy.add_finding( "DENIED_ACTIONS", "APIs are not approved for use:", location={"Action": denied_actions_in_policy}, )
denied_actions = {'access-analyzer:DeleteAnalyzer', 'cloudtrail:CreateTrail', 'cloudtrail:DeleteTrail', 'cloudtrail:UpdateTrail', 'cloudtrail:StopLogging', 'config:DeleteConfigRule', 'config:DeleteConfigurationRecorder', 'config:DeleteDeliveryChannel', 'config:StopConfigurationRecorder', 'ec2:AcceptVpcPeeringConnection', 'ec2:AttachInternetGateway', 'ec2:AttachVpnGateway', 'ec2:CreateInternetGateway', 'ec2:CreateEgressOnlyInternetGateway', 'ec2:CreateNatGateway', 'ec2:CreateTransitGateway', 'ec2:CreateVpnConnection', 'ec2:CreateVpnGateway', 'ec2:CreateVpcPeeringConnection', 'ec2:DeleteEgressOnlyInternetGateway', 'ec2:DeleteInternetGateway', 'ec2:DeleteNatGateway', 'ec2:DeleteTransitGateway', 'ec2:DetachClassicLinkVpc', 'ec2:DetachInternetGateway', 'ec2:DetachVpnGateway', 'ec2:DisableEbsEncryptionByDefault', 'ec2:ModifyInstanceMetadataOptions', 'globalaccelerator:CreateAccelerator', 'globalaccelerator:CreateEndpointGroup', 'globalaccelerator:CreateListener', 'globalaccelerator:UpdateAccelerator', 'globalaccelerator:UpdateAcceleratorAttributes', 'globalaccelerator:UpdateEndpointGroup', 'globalaccelerator:UpdateListener', 'guardduty:DeleteDetector', 'guardduty:DisassociateFromMasterAccount', 'guardduty:UpdateDetector', 'guardduty:CreateFilter', 'guardduty:CreateIPSet', 'organizations:LeaveOrganization', 's3:PutAccountPublicAccessBlock'} def audit(policy): actions = policy.get_allowed_actions() print(f'ACTIONS: {actions}') denied_actions_in_policy = [] for action in actions: if action in DENIED_ACTIONS: denied_actions_in_policy.append(action) if denied_actions_in_policy: policy.add_finding('DENIED_ACTIONS', 'APIs are not approved for use:', location={'Action': denied_actions_in_policy})
X = int(input()) Y = int(input()) Z = int(input()) N = int(input()) result = [ [x, y, z] for x in range(X+1) for y in range(Y+1) for z in range(Z+1) if x + y + z != N ] print(result)
x = int(input()) y = int(input()) z = int(input()) n = int(input()) result = [[x, y, z] for x in range(X + 1) for y in range(Y + 1) for z in range(Z + 1) if x + y + z != N] print(result)
class Solution: def lexicographically_minimal_string(self, a, b): """ :type strs: a, b :rtype: str """ a = [ord(x) for x in list(a[::-1])] b = [ord(x) for x in list(b[::-1])] lms = [] while len(a) != 0 and len(b) != 0: if a[-1] < b[-1]: lms.append(a.pop()) elif a[-1] > b[-1]: lms.append(b.pop()) else: s = self.look_forward(a, b) flag_char = s.pop() lms.append(flag_char) # move in later chars which is the same as flag_char # in this stack (for efficiency) while len(s) > 0 and s[-1] == flag_char: lms.append(s.pop()) if len(a) == 0 and len(b) != 0: lms += b[::-1] elif len(b) == 0 and len(a) != 0: lms += a[::-1] return ''.join([chr(x) for x in lms]) def look_forward(self, a, b): # find smaller option layer by layer for i in range(-1, -min(len(a), len(b)), -1): if a[i-1] == b[i-1]: continue elif a[i-1] < b[i-1]: return a elif a[i-1] > b[i-1]: return b # can not find smaller one until the last layer if len(a) <= len(b): return b else: return a
class Solution: def lexicographically_minimal_string(self, a, b): """ :type strs: a, b :rtype: str """ a = [ord(x) for x in list(a[::-1])] b = [ord(x) for x in list(b[::-1])] lms = [] while len(a) != 0 and len(b) != 0: if a[-1] < b[-1]: lms.append(a.pop()) elif a[-1] > b[-1]: lms.append(b.pop()) else: s = self.look_forward(a, b) flag_char = s.pop() lms.append(flag_char) while len(s) > 0 and s[-1] == flag_char: lms.append(s.pop()) if len(a) == 0 and len(b) != 0: lms += b[::-1] elif len(b) == 0 and len(a) != 0: lms += a[::-1] return ''.join([chr(x) for x in lms]) def look_forward(self, a, b): for i in range(-1, -min(len(a), len(b)), -1): if a[i - 1] == b[i - 1]: continue elif a[i - 1] < b[i - 1]: return a elif a[i - 1] > b[i - 1]: return b if len(a) <= len(b): return b else: return a
class Solution: def minimumDeleteSum(self, s1, s2): """ :type s1: str :type s2: str :rtype: int """ # use dynamic programming and rolling window dp = [[0] * (len(s2) + 1) for _ in range(2)] for i in range(len(s2)): dp[0][i+1] = dp[0][i] + ord(s2[i]) for i in range(len(s1)): dp[(i+1) % 2][0] = dp[i % 2][0] + ord(s1[i]) for j in range(len(s2)): if s1[i] == s2[j]: dp[(i+1)%2][j+1] = dp[i % 2][j] else: dp[(i+1)%2][j+1] = min(dp[i%2][j+1] + ord(s1[i]), dp[(i+1)%2][j] + ord(s2[j])) return dp[len(s1) % 2][-1]
class Solution: def minimum_delete_sum(self, s1, s2): """ :type s1: str :type s2: str :rtype: int """ dp = [[0] * (len(s2) + 1) for _ in range(2)] for i in range(len(s2)): dp[0][i + 1] = dp[0][i] + ord(s2[i]) for i in range(len(s1)): dp[(i + 1) % 2][0] = dp[i % 2][0] + ord(s1[i]) for j in range(len(s2)): if s1[i] == s2[j]: dp[(i + 1) % 2][j + 1] = dp[i % 2][j] else: dp[(i + 1) % 2][j + 1] = min(dp[i % 2][j + 1] + ord(s1[i]), dp[(i + 1) % 2][j] + ord(s2[j])) return dp[len(s1) % 2][-1]
with open('test.txt', 'w') as file: content = input('Write into file: ') file.write(content) with open('test.txt', 'a') as file: s = '' while s!= '@': file.write(s) s = input('Append into file: ') with open('test.txt') as file: print(file.read())
with open('test.txt', 'w') as file: content = input('Write into file: ') file.write(content) with open('test.txt', 'a') as file: s = '' while s != '@': file.write(s) s = input('Append into file: ') with open('test.txt') as file: print(file.read())
def sumofs1(): s1=0 n=int(input("enter a number:")) for i in range(1,n+1): s1=s1+i print("sumofs1=",s1) def sumofs2(): s2=0 m=int(input("enter a number:")) for j in range(1,m+1): s2=s2+(j*j) print("sumofs2=",s2) def sumofs3(): s3=0 p=int(input("enter a number:")) for k in range(1,p+1): s3=s3+(k*k*k) print("sumofs3=",s3) def sumofs4(): s4=0 q=int(input("enter a number:")) for l in range(1,q+1): s4=s4+(l**l) print("sumofs4=",s4) def sumofs5(): s5=0 r=int(input("enter a number:")) for a in range(1,r+1): s5=s5+((a**a)**a) print("sumofs5=",s5) sumofs1() sumofs2() sumofs3() sumofs4() sumofs5()
def sumofs1(): s1 = 0 n = int(input('enter a number:')) for i in range(1, n + 1): s1 = s1 + i print('sumofs1=', s1) def sumofs2(): s2 = 0 m = int(input('enter a number:')) for j in range(1, m + 1): s2 = s2 + j * j print('sumofs2=', s2) def sumofs3(): s3 = 0 p = int(input('enter a number:')) for k in range(1, p + 1): s3 = s3 + k * k * k print('sumofs3=', s3) def sumofs4(): s4 = 0 q = int(input('enter a number:')) for l in range(1, q + 1): s4 = s4 + l ** l print('sumofs4=', s4) def sumofs5(): s5 = 0 r = int(input('enter a number:')) for a in range(1, r + 1): s5 = s5 + (a ** a) ** a print('sumofs5=', s5) sumofs1() sumofs2() sumofs3() sumofs4() sumofs5()
# Add your list of tweets here in this list. Make sure the messages are inside double quotes and end with a comma. # For example: "Hello Check, my profile", # The program will then randomly select one of the messages and post it to Twitter. # Also if your message contains a double quote, you need to escape it with a backslash. # That is, "John says "Don't say it"" becomes "John says \"Don't say it\"" Tweets = [ "Hello, Check my profile", "Great Job,", "Cool NFTs", ] # Add Consumer Key, Consumer Secret, Access Token, Access Token Secret here. # Just copy each layout and add it below. # Add the username to the NAME variable. It's just included here to identify the account. Accounts = { "account1": { "username": "qbanbabee", "password": "CDxrRcqSHP" }, "account2": { "username": "r3i2x", "password": "!seucNgU9D" }, "account3": { "username": "AprilThorne8", "password": "kfjOZcdkzVvOliv" }, "account3": { "username": "fitriamarthaa", "password": "nayeon95" }, "account5": { "username": "sammyroseam", "password": "b46vtpSx3" }, "account4": { "username": "KURB81", "password": "zkZdMTCLg9" }, "account7": { "username": "JenniCl69856601", "password": "7Z9PcRH6W68IrAT" }, "account8": { "username": "Michell09770838", "password": "nsSvK4Abtow3Vns" }, "account9": { "username": "KateMey23545494", "password": "MHtyYpn0OBwznEQ" }, "account10": { "username": "NicoleV10545306", "password": "ew0O7Pv0JxuR9DG" }, "account11": { "username": "MeganEn15734915", "password": "MbfaXR3HZG3vHLx" }, "account12": { "username": "AnitaHi68595728", "password": "ECfR31VO121x9WJ" }, "account13": { "username": "Jessica87214397", "password": "BwynlIJEZd7nWNO" }, "account14": { "username": "SaraSim44822850", "password": "7aQYEGXtMElpclk" }, } # Add the keywords you want to search for here. # Keep your keywords one-worded and separate them with a comma. Keywords = [ "NFT", "Metamask" ] # Enter the Tweet cooldown in seconds. A new tweet will not be posted until the cooldown has passed. TweetCooldown = 30 # Enter the Account cooldown in minutes. A new account will not be used until the cooldown has passed. AccountSwitchCooldown = 120 # Time it waits to load up the content in seconds LoadingTime = 10 # Time it waits before clicking it so it's not instantaneous WaitTime = 2
tweets = ['Hello, Check my profile', 'Great Job,', 'Cool NFTs'] accounts = {'account1': {'username': 'qbanbabee', 'password': 'CDxrRcqSHP'}, 'account2': {'username': 'r3i2x', 'password': '!seucNgU9D'}, 'account3': {'username': 'AprilThorne8', 'password': 'kfjOZcdkzVvOliv'}, 'account3': {'username': 'fitriamarthaa', 'password': 'nayeon95'}, 'account5': {'username': 'sammyroseam', 'password': 'b46vtpSx3'}, 'account4': {'username': 'KURB81', 'password': 'zkZdMTCLg9'}, 'account7': {'username': 'JenniCl69856601', 'password': '7Z9PcRH6W68IrAT'}, 'account8': {'username': 'Michell09770838', 'password': 'nsSvK4Abtow3Vns'}, 'account9': {'username': 'KateMey23545494', 'password': 'MHtyYpn0OBwznEQ'}, 'account10': {'username': 'NicoleV10545306', 'password': 'ew0O7Pv0JxuR9DG'}, 'account11': {'username': 'MeganEn15734915', 'password': 'MbfaXR3HZG3vHLx'}, 'account12': {'username': 'AnitaHi68595728', 'password': 'ECfR31VO121x9WJ'}, 'account13': {'username': 'Jessica87214397', 'password': 'BwynlIJEZd7nWNO'}, 'account14': {'username': 'SaraSim44822850', 'password': '7aQYEGXtMElpclk'}} keywords = ['NFT', 'Metamask'] tweet_cooldown = 30 account_switch_cooldown = 120 loading_time = 10 wait_time = 2
#!/usr/bin/env python3 types = { "BASIC_CONSTRAINTS": { "ca": "ca_bool_int", "pathlen": "ASN1_INTEGER", }, } getter_conv_tmpl = { "ca_bool_int": "ctx.{k} == 0xFF", "ASN1_INTEGER": "tonumber(C.ASN1_INTEGER_get(ctx.{k}))", } setter_conv_tmpl = { "ca_bool_int": ''' toset.{k} = cfg_lower.{k} and 0xFF or 0''', "ASN1_INTEGER": ''' local {k} = cfg_lower.{k} and tonumber(cfg_lower.{k}) if {k} then C.ASN1_INTEGER_free(toset.{k}) local asn1 = C.ASN1_STRING_type_new({k}) if asn1 == nil then return false, format_error("x509:set_{type}: ASN1_STRING_type_new") end toset.{k} = asn1 local code = C.ASN1_INTEGER_set(asn1, {k}) if code ~= 1 then return false, format_error("x509:set_{type}: ASN1_INTEGER_set", code) end end''' } c2t_assign_locals = ''' local {k} = {conv}''' c2t_return_table = ''' {k} = {k},''' c2t_return_partial = ''' elseif string.lower(name) == "{k}" then got = {k}''' c2t = ''' local ctx = ffi_cast("{type}*", got) {assign_locals} C.{type}_free(ctx) if not name or type(name) ~= "string" then got = {{ {return_table} }} {return_partial} end ''' t2c = ''' local cfg_lower = {{}} for k, v in pairs(toset) do cfg_lower[string.lower(k)] = v end toset = C.{type}_new() if toset == nil then return false, format_error("x509:set_{type}") end ffi_gc(toset, C.{type}_free) {set_members} ''' # getter def c_struct_to_table(name): t = types[name] return c2t.format( type=name, assign_locals="".join([ c2t_assign_locals.format( k=k, conv=getter_conv_tmpl[v].format(k=k) ) for k, v in t.items() ]), return_table="".join([ c2t_return_table.format(k=k) for k in t ]).lstrip("\n"), return_partial="".join([ c2t_return_partial.format(k=k) for k in t ]).lstrip("\n"), ) # setter def table_to_c_struct(name): t = types[name] return t2c.format( type=name, set_members="".join([ setter_conv_tmpl[v].format( k=k, type=name, ) for k, v in t.items() ]), )
types = {'BASIC_CONSTRAINTS': {'ca': 'ca_bool_int', 'pathlen': 'ASN1_INTEGER'}} getter_conv_tmpl = {'ca_bool_int': 'ctx.{k} == 0xFF', 'ASN1_INTEGER': 'tonumber(C.ASN1_INTEGER_get(ctx.{k}))'} setter_conv_tmpl = {'ca_bool_int': '\n toset.{k} = cfg_lower.{k} and 0xFF or 0', 'ASN1_INTEGER': '\n local {k} = cfg_lower.{k} and tonumber(cfg_lower.{k})\n if {k} then\n C.ASN1_INTEGER_free(toset.{k})\n\n local asn1 = C.ASN1_STRING_type_new({k})\n if asn1 == nil then\n return false, format_error("x509:set_{type}: ASN1_STRING_type_new")\n end\n toset.{k} = asn1\n\n local code = C.ASN1_INTEGER_set(asn1, {k})\n if code ~= 1 then\n return false, format_error("x509:set_{type}: ASN1_INTEGER_set", code)\n end\n end'} c2t_assign_locals = '\n local {k} = {conv}' c2t_return_table = '\n {k} = {k},' c2t_return_partial = '\n elseif string.lower(name) == "{k}" then\n got = {k}' c2t = '\n local ctx = ffi_cast("{type}*", got)\n{assign_locals}\n\n C.{type}_free(ctx)\n\n if not name or type(name) ~= "string" then\n got = {{\n{return_table}\n }}\n{return_partial}\n end\n' t2c = '\n local cfg_lower = {{}}\n for k, v in pairs(toset) do\n cfg_lower[string.lower(k)] = v\n end\n\n toset = C.{type}_new()\n if toset == nil then\n return false, format_error("x509:set_{type}")\n end\n ffi_gc(toset, C.{type}_free)\n{set_members}\n' def c_struct_to_table(name): t = types[name] return c2t.format(type=name, assign_locals=''.join([c2t_assign_locals.format(k=k, conv=getter_conv_tmpl[v].format(k=k)) for (k, v) in t.items()]), return_table=''.join([c2t_return_table.format(k=k) for k in t]).lstrip('\n'), return_partial=''.join([c2t_return_partial.format(k=k) for k in t]).lstrip('\n')) def table_to_c_struct(name): t = types[name] return t2c.format(type=name, set_members=''.join([setter_conv_tmpl[v].format(k=k, type=name) for (k, v) in t.items()]))
# # PySNMP MIB module DLINK-3100-MIR-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DLINK-3100-MIR-MIB # Produced by pysmi-0.3.4 at Wed May 1 12:48:41 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, SingleValueConstraint, ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection") rnd, = mibBuilder.importSymbols("DLINK-3100-MIB", "rnd") InterfaceIndex, = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") MibScalar, MibTable, MibTableRow, MibTableColumn, Counter32, Bits, TimeTicks, ObjectIdentity, Integer32, NotificationType, IpAddress, ModuleIdentity, MibIdentifier, Counter64, iso, Gauge32, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter32", "Bits", "TimeTicks", "ObjectIdentity", "Integer32", "NotificationType", "IpAddress", "ModuleIdentity", "MibIdentifier", "Counter64", "iso", "Gauge32", "Unsigned32") TextualConvention, RowStatus, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "RowStatus", "DisplayString") rlMir = ModuleIdentity((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61)) rlMir.setRevisions(('2007-01-02 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: rlMir.setRevisionsDescriptions(('Initial revision.',)) if mibBuilder.loadTexts: rlMir.setLastUpdated('200701020000Z') if mibBuilder.loadTexts: rlMir.setOrganization('Dlink, Inc. Dlink Semiconductor, Inc.') if mibBuilder.loadTexts: rlMir.setContactInfo('www.dlink.com') if mibBuilder.loadTexts: rlMir.setDescription('This private MIB module defines MIR private MIBs.') rlMirMibVersion = MibScalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: rlMirMibVersion.setStatus('current') if mibBuilder.loadTexts: rlMirMibVersion.setDescription("MIB's version, the current version is 1.") rlMirMaxNumOfMRIsAfterReset = MibScalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 2), Integer32().clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: rlMirMaxNumOfMRIsAfterReset.setStatus('current') if mibBuilder.loadTexts: rlMirMaxNumOfMRIsAfterReset.setDescription('The maximun instanses of IP Multi Instance Routers after the following reset.') rlMirMaxNumOfMRIs = MibScalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: rlMirMaxNumOfMRIs.setStatus('current') if mibBuilder.loadTexts: rlMirMaxNumOfMRIs.setDescription('The maximun instanses of IP Multi Instance Routers.') rlMirCurMriNum = MibScalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: rlMirCurMriNum.setStatus('current') if mibBuilder.loadTexts: rlMirCurMriNum.setDescription('The number of the MRI of which MIB variables are treated at the same time by the SNMP agent.') rlMirInterfaceTable = MibTable((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5), ) if mibBuilder.loadTexts: rlMirInterfaceTable.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceTable.setDescription('A list of the assignment ifinterfaces to IP Router instances.') rlMirInterfaceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5, 1), ).setIndexNames((0, "DLINK-3100-MIR-MIB", "rlMirInterfaceIfIndex")) if mibBuilder.loadTexts: rlMirInterfaceEntry.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceEntry.setDescription('An entry of this table specifies the MRID assignement to a L2 interfrace.') rlMirInterfaceIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5, 1, 1), InterfaceIndex()).setMaxAccess("readwrite") if mibBuilder.loadTexts: rlMirInterfaceIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceIfIndex.setDescription('The L2 interface for which this entry contains information.') rlMirInterfaceMrid = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: rlMirInterfaceMrid.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceMrid.setDescription('Multi IP Router Instance Identifier to which the interface is assgned.') rlMirVlanBaseReservedPortsTable = MibTable((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6), ) if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsTable.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsTable.setDescription('A list VLAN based reserved physical ports.') rlMirVlanBaseReservedPortsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6, 1), ).setIndexNames((0, "DLINK-3100-MIR-MIB", "rlMirVlanBaseReservedPortsIfIndex")) if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsEntry.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsEntry.setDescription('A VLAN based reserved physical port.') rlMirVlanBaseReservedPortsIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6, 1, 1), InterfaceIndex()).setMaxAccess("readcreate") if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsIfIndex.setDescription('IfIndex of VLAN based reserved physical port.') rlMirVlanBaseReservedPortsStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6, 1, 2), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsStatus.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsStatus.setDescription('It is used to delete an entry') rlMirVlanBaseLogicalPortsTable = MibTable((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7), ) if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsTable.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsTable.setDescription('A list VLAN based logical ports.') rlMirVlanBaseLogicalPortsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1), ).setIndexNames((0, "DLINK-3100-MIR-MIB", "rlMirVlanBaseLogicalPortsIfIndex")) if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsEntry.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsEntry.setDescription('A VLAN based logical point-to-point port.') rlMirVlanBaseLogicalPortsIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 1), InterfaceIndex()).setMaxAccess("readcreate") if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsIfIndex.setDescription('IfIndex of VLAN based Logical point-to-point port.') rlMirVlanBaseLogicalPortsReservedIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 2), InterfaceIndex()).setMaxAccess("readcreate") if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsReservedIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsReservedIfIndex.setDescription('IfIndex of VLAN based reserved physical port on which the logical port is defined.') rlMirVlanBaseLogicalPortsVlanTag = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4095))).setMaxAccess("readcreate") if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsVlanTag.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsVlanTag.setDescription('VLAN tag.') rlMirVlanBaseLogicalPortsStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 4), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsStatus.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsStatus.setDescription('It is used to add, update and delete an entry') mibBuilder.exportSymbols("DLINK-3100-MIR-MIB", PYSNMP_MODULE_ID=rlMir, rlMir=rlMir, rlMirVlanBaseLogicalPortsIfIndex=rlMirVlanBaseLogicalPortsIfIndex, rlMirCurMriNum=rlMirCurMriNum, rlMirMibVersion=rlMirMibVersion, rlMirInterfaceMrid=rlMirInterfaceMrid, rlMirVlanBaseReservedPortsTable=rlMirVlanBaseReservedPortsTable, rlMirMaxNumOfMRIs=rlMirMaxNumOfMRIs, rlMirVlanBaseReservedPortsIfIndex=rlMirVlanBaseReservedPortsIfIndex, rlMirInterfaceTable=rlMirInterfaceTable, rlMirVlanBaseLogicalPortsVlanTag=rlMirVlanBaseLogicalPortsVlanTag, rlMirVlanBaseLogicalPortsReservedIfIndex=rlMirVlanBaseLogicalPortsReservedIfIndex, rlMirVlanBaseReservedPortsStatus=rlMirVlanBaseReservedPortsStatus, rlMirVlanBaseReservedPortsEntry=rlMirVlanBaseReservedPortsEntry, rlMirMaxNumOfMRIsAfterReset=rlMirMaxNumOfMRIsAfterReset, rlMirInterfaceIfIndex=rlMirInterfaceIfIndex, rlMirVlanBaseLogicalPortsEntry=rlMirVlanBaseLogicalPortsEntry, rlMirInterfaceEntry=rlMirInterfaceEntry, rlMirVlanBaseLogicalPortsStatus=rlMirVlanBaseLogicalPortsStatus, rlMirVlanBaseLogicalPortsTable=rlMirVlanBaseLogicalPortsTable)
(octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_size_constraint, single_value_constraint, value_range_constraint, constraints_union, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'SingleValueConstraint', 'ValueRangeConstraint', 'ConstraintsUnion', 'ConstraintsIntersection') (rnd,) = mibBuilder.importSymbols('DLINK-3100-MIB', 'rnd') (interface_index,) = mibBuilder.importSymbols('IF-MIB', 'InterfaceIndex') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (mib_scalar, mib_table, mib_table_row, mib_table_column, counter32, bits, time_ticks, object_identity, integer32, notification_type, ip_address, module_identity, mib_identifier, counter64, iso, gauge32, unsigned32) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Counter32', 'Bits', 'TimeTicks', 'ObjectIdentity', 'Integer32', 'NotificationType', 'IpAddress', 'ModuleIdentity', 'MibIdentifier', 'Counter64', 'iso', 'Gauge32', 'Unsigned32') (textual_convention, row_status, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'RowStatus', 'DisplayString') rl_mir = module_identity((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61)) rlMir.setRevisions(('2007-01-02 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: rlMir.setRevisionsDescriptions(('Initial revision.',)) if mibBuilder.loadTexts: rlMir.setLastUpdated('200701020000Z') if mibBuilder.loadTexts: rlMir.setOrganization('Dlink, Inc. Dlink Semiconductor, Inc.') if mibBuilder.loadTexts: rlMir.setContactInfo('www.dlink.com') if mibBuilder.loadTexts: rlMir.setDescription('This private MIB module defines MIR private MIBs.') rl_mir_mib_version = mib_scalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: rlMirMibVersion.setStatus('current') if mibBuilder.loadTexts: rlMirMibVersion.setDescription("MIB's version, the current version is 1.") rl_mir_max_num_of_mr_is_after_reset = mib_scalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 2), integer32().clone(1)).setMaxAccess('readwrite') if mibBuilder.loadTexts: rlMirMaxNumOfMRIsAfterReset.setStatus('current') if mibBuilder.loadTexts: rlMirMaxNumOfMRIsAfterReset.setDescription('The maximun instanses of IP Multi Instance Routers after the following reset.') rl_mir_max_num_of_mr_is = mib_scalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 3), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: rlMirMaxNumOfMRIs.setStatus('current') if mibBuilder.loadTexts: rlMirMaxNumOfMRIs.setDescription('The maximun instanses of IP Multi Instance Routers.') rl_mir_cur_mri_num = mib_scalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 4), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: rlMirCurMriNum.setStatus('current') if mibBuilder.loadTexts: rlMirCurMriNum.setDescription('The number of the MRI of which MIB variables are treated at the same time by the SNMP agent.') rl_mir_interface_table = mib_table((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5)) if mibBuilder.loadTexts: rlMirInterfaceTable.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceTable.setDescription('A list of the assignment ifinterfaces to IP Router instances.') rl_mir_interface_entry = mib_table_row((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5, 1)).setIndexNames((0, 'DLINK-3100-MIR-MIB', 'rlMirInterfaceIfIndex')) if mibBuilder.loadTexts: rlMirInterfaceEntry.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceEntry.setDescription('An entry of this table specifies the MRID assignement to a L2 interfrace.') rl_mir_interface_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5, 1, 1), interface_index()).setMaxAccess('readwrite') if mibBuilder.loadTexts: rlMirInterfaceIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceIfIndex.setDescription('The L2 interface for which this entry contains information.') rl_mir_interface_mrid = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 5, 1, 2), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: rlMirInterfaceMrid.setStatus('current') if mibBuilder.loadTexts: rlMirInterfaceMrid.setDescription('Multi IP Router Instance Identifier to which the interface is assgned.') rl_mir_vlan_base_reserved_ports_table = mib_table((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6)) if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsTable.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsTable.setDescription('A list VLAN based reserved physical ports.') rl_mir_vlan_base_reserved_ports_entry = mib_table_row((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6, 1)).setIndexNames((0, 'DLINK-3100-MIR-MIB', 'rlMirVlanBaseReservedPortsIfIndex')) if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsEntry.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsEntry.setDescription('A VLAN based reserved physical port.') rl_mir_vlan_base_reserved_ports_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6, 1, 1), interface_index()).setMaxAccess('readcreate') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsIfIndex.setDescription('IfIndex of VLAN based reserved physical port.') rl_mir_vlan_base_reserved_ports_status = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 6, 1, 2), row_status()).setMaxAccess('readcreate') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsStatus.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseReservedPortsStatus.setDescription('It is used to delete an entry') rl_mir_vlan_base_logical_ports_table = mib_table((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7)) if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsTable.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsTable.setDescription('A list VLAN based logical ports.') rl_mir_vlan_base_logical_ports_entry = mib_table_row((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1)).setIndexNames((0, 'DLINK-3100-MIR-MIB', 'rlMirVlanBaseLogicalPortsIfIndex')) if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsEntry.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsEntry.setDescription('A VLAN based logical point-to-point port.') rl_mir_vlan_base_logical_ports_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 1), interface_index()).setMaxAccess('readcreate') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsIfIndex.setDescription('IfIndex of VLAN based Logical point-to-point port.') rl_mir_vlan_base_logical_ports_reserved_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 2), interface_index()).setMaxAccess('readcreate') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsReservedIfIndex.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsReservedIfIndex.setDescription('IfIndex of VLAN based reserved physical port on which the logical port is defined.') rl_mir_vlan_base_logical_ports_vlan_tag = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 3), integer32().subtype(subtypeSpec=value_range_constraint(1, 4095))).setMaxAccess('readcreate') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsVlanTag.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsVlanTag.setDescription('VLAN tag.') rl_mir_vlan_base_logical_ports_status = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 61, 7, 1, 4), row_status()).setMaxAccess('readcreate') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsStatus.setStatus('current') if mibBuilder.loadTexts: rlMirVlanBaseLogicalPortsStatus.setDescription('It is used to add, update and delete an entry') mibBuilder.exportSymbols('DLINK-3100-MIR-MIB', PYSNMP_MODULE_ID=rlMir, rlMir=rlMir, rlMirVlanBaseLogicalPortsIfIndex=rlMirVlanBaseLogicalPortsIfIndex, rlMirCurMriNum=rlMirCurMriNum, rlMirMibVersion=rlMirMibVersion, rlMirInterfaceMrid=rlMirInterfaceMrid, rlMirVlanBaseReservedPortsTable=rlMirVlanBaseReservedPortsTable, rlMirMaxNumOfMRIs=rlMirMaxNumOfMRIs, rlMirVlanBaseReservedPortsIfIndex=rlMirVlanBaseReservedPortsIfIndex, rlMirInterfaceTable=rlMirInterfaceTable, rlMirVlanBaseLogicalPortsVlanTag=rlMirVlanBaseLogicalPortsVlanTag, rlMirVlanBaseLogicalPortsReservedIfIndex=rlMirVlanBaseLogicalPortsReservedIfIndex, rlMirVlanBaseReservedPortsStatus=rlMirVlanBaseReservedPortsStatus, rlMirVlanBaseReservedPortsEntry=rlMirVlanBaseReservedPortsEntry, rlMirMaxNumOfMRIsAfterReset=rlMirMaxNumOfMRIsAfterReset, rlMirInterfaceIfIndex=rlMirInterfaceIfIndex, rlMirVlanBaseLogicalPortsEntry=rlMirVlanBaseLogicalPortsEntry, rlMirInterfaceEntry=rlMirInterfaceEntry, rlMirVlanBaseLogicalPortsStatus=rlMirVlanBaseLogicalPortsStatus, rlMirVlanBaseLogicalPortsTable=rlMirVlanBaseLogicalPortsTable)
# classificationMethod.py # ----------------------- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information: The Pacman AI projects were developed at UC Berkeley. # The core projects and autograders were primarily created by John DeNero # ([email protected]) and Dan Klein ([email protected]). # Student side autograding was added by Brad Miller, Nick Hay, and # Pieter Abbeel ([email protected]). # This file contains the abstract class ClassificationMethod class ClassificationMethod: """ ClassificationMethod is the abstract superclass of - MostFrequentClassifier - NaiveBayesClassifier - PerceptronClassifier - MiraClassifier As such, you need not add any code to this file. You can write all of your implementation code in the files for the individual classification methods listed above. """ def __init__(self, legalLabels): """ For digits dataset, the set of legal labels will be 0,1,..,9 For faces dataset, the set of legal labels will be 0 (non-face) or 1 (face) """ self.legalLabels = legalLabels def train(self, trainingData, trainingLabels, validationData, validationLabels): """ This is the supervised training function for the classifier. Two sets of labeled data are passed in: a large training set and a small validation set. Many types of classifiers have a common training structure in practice: using training data for the main supervised training loop but tuning certain parameters with a small held-out validation set. For some classifiers (naive Bayes, MIRA), you will need to return the parameters' values after training and tuning step. To make the classifier generic to multiple problems, the data should be represented as lists of Counters containing feature descriptions and their counts. """ abstract def classify(self, data): """ This function returns a list of labels, each drawn from the set of legal labels provided to the classifier upon construction. To make the classifier generic to multiple problems, the data should be represented as lists of Counters containing feature descriptions and their counts. """ abstract
class Classificationmethod: """ ClassificationMethod is the abstract superclass of - MostFrequentClassifier - NaiveBayesClassifier - PerceptronClassifier - MiraClassifier As such, you need not add any code to this file. You can write all of your implementation code in the files for the individual classification methods listed above. """ def __init__(self, legalLabels): """ For digits dataset, the set of legal labels will be 0,1,..,9 For faces dataset, the set of legal labels will be 0 (non-face) or 1 (face) """ self.legalLabels = legalLabels def train(self, trainingData, trainingLabels, validationData, validationLabels): """ This is the supervised training function for the classifier. Two sets of labeled data are passed in: a large training set and a small validation set. Many types of classifiers have a common training structure in practice: using training data for the main supervised training loop but tuning certain parameters with a small held-out validation set. For some classifiers (naive Bayes, MIRA), you will need to return the parameters' values after training and tuning step. To make the classifier generic to multiple problems, the data should be represented as lists of Counters containing feature descriptions and their counts. """ abstract def classify(self, data): """ This function returns a list of labels, each drawn from the set of legal labels provided to the classifier upon construction. To make the classifier generic to multiple problems, the data should be represented as lists of Counters containing feature descriptions and their counts. """ abstract
''' mbinary ######################################################################### # File : allOoneDS.py # Author: mbinary # Mail: [email protected] # Blog: https://mbinary.xyz # Github: https://github.com/mbinary # Created Time: 2018-05-19 23:07 # Description: ######################################################################### ''' class node: def __init__(self,val=None,data_mp=None,pre=None,next=None): self.val=val self.data_mp = {} if data_mp is None else data_mp self.pre=pre self.next=next def __lt__(self,nd): return self.val<nd.val def getOne(self): if not self.data_mp: return '' else:return list(self.data_mp.items())[0][0] def __getitem__(self,key): return self.data_mp[key] def __iter__(self): return iter(self.data_mp) def __delitem__(self,key): del self.data_mp[key] def __setitem__(self,key,val): self.data_mp[key]= val def isEmpty(self): return self.data_mp=={} def __repr__(self): return 'node({},{})'.format(self.val,self.data_mp) class doubleLinkedList: def __init__(self): self.head= self.tail = node(0) self.head.next = self.head self.head.pre = self.head self.chain_mp={0:self.head} def __str__(self): li = list(self.chain_mp.values()) li = [str(i) for i in li] return 'min:{}, max:{}\n'.format(self.head.val,self.tail.val) \ + '\n'.join(li) def getMax(self): return self.tail.getOne() def getMin(self): return self.head.getOne() def addIncNode(self,val): # when adding a node,inc 1, so it's guranted that node(val-1) exists self.chain_mp[val].pre= self.chain_mp[val-1] self.chain_mp[val].next= self.chain_mp[val-1].next self.chain_mp[val-1].next.pre = self.chain_mp[val-1].next = self.chain_mp[val] def addDecNode(self,val): # when adding a node,dec 1, so it's guranted that node(val+1) exists self.chain_mp[val].next= self.chain_mp[val+1] self.chain_mp[val].pre= self.chain_mp[val+1].pre self.chain_mp[val+1].pre.next = self.chain_mp[val+1].pre = self.chain_mp[val] def addNode(self,val,dec=False): self.chain_mp[val] = node(val) if dec:self.addDecNode(val) else:self.addIncNode(val) if self.tail.val<val:self.tail = self.chain_mp[val] if self.head.val>val or self.head.val==0:self.head= self.chain_mp[val] def delNode(self,val): self.chain_mp[val].next.pre = self.chain_mp[val].pre self.chain_mp[val].pre.next = self.chain_mp[val].next if self.tail.val==val:self.tail = self.chain_mp[val].pre if self.head.val==val:self.head = self.chain_mp[val].next del self.chain_mp[val] def incTo(self,key,val): if val not in self.chain_mp: self.addNode(val) self.chain_mp[val][key] = val if val!=1 : # key in the pre node del self.chain_mp[val-1][key] #print(self.chain_mp[val-1]) if self.chain_mp[val-1].isEmpty(): #print('*'*20) self.delNode(val-1) def decTo(self,key,val): if val not in self.chain_mp: self.addNode(val,dec=True) # notice that the headnode(0) shouldn't add key if val!=0: self.chain_mp[val][key] = val del self.chain_mp[val+1][key] if self.chain_mp[val+1].isEmpty(): self.delNode(val+1) class AllOne: def __init__(self): """ Initialize your data structure here. """ self.op = {"inc":self.inc,"dec":self.dec,"getMaxKey":self.getMaxKey,"getMinKey":self.getMinKey} self.mp = {} self.dll = doubleLinkedList() def __str__(self): return str(self.dll) def __getitem__(self,key): return self.mp[key] def __delitem__(self,key): del self.mp[key] def __setitem__(self,key,val): self.mp[key]= val def __iter__(self): return iter(self.mp) def inc(self, key,n=1): """ Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rtype: void """ if key in self: self[key]+=n else:self[key]=n for i in range(n): self.dll.incTo(key, self[key]) def dec(self, key,n=1): """ Decrements an existing key by 1. If Key's value is 1, remove it from the data structure. :type key: str :rtype: void """ if key in self.mp: mn = min( self[key],n) for i in range(mn): self.dll.decTo(key, self[key]-i-1) if self[key] == n: del self[key] else: self[key] = self[key]-n def getMaxKey(self): """ Returns one of the keys with maximal value. :rtype: str """ return self.dll.getMax() def getMinKey(self): """ Returns one of the keys with Minimal value. :rtype: str """ return self.dll.getMin() if __name__ == '__main__': ops=["inc","inc","inc","inc","inc","dec","dec","getMaxKey","getMinKey"] data=[["a"],["b"],["b"],["b"],["b"],["b"],["b"],[],[]] obj = AllOne() for op,datum in zip(ops,data): print(obj.op[op](*datum)) print(op,datum) print(obj) ''' None inc ['a'] min:1, max:1 node(0,{}) node(1,{'a': 1}) None inc ['b'] min:1, max:1 node(0,{}) node(1,{'a': 1, 'b': 1}) None inc ['b'] min:1, max:2 node(0,{}) node(1,{'a': 1}) node(2,{'b': 2}) None inc ['b'] min:1, max:3 node(0,{}) node(1,{'a': 1}) node(3,{'b': 3}) None inc ['b'] min:1, max:4 node(0,{}) node(1,{'a': 1}) node(4,{'b': 4}) None dec ['b'] min:1, max:3 node(0,{}) node(1,{'a': 1}) node(3,{'b': 3}) None dec ['b'] min:1, max:2 node(0,{}) node(1,{'a': 1}) node(2,{'b': 2}) b getMaxKey [] min:1, max:2 node(0,{}) node(1,{'a': 1}) node(2,{'b': 2}) a getMinKey [] min:1, max:2 node(0,{}) node(1,{'a': 1}) node(2,{'b': 2}) '''
""" mbinary ######################################################################### # File : allOoneDS.py # Author: mbinary # Mail: [email protected] # Blog: https://mbinary.xyz # Github: https://github.com/mbinary # Created Time: 2018-05-19 23:07 # Description: ######################################################################### """ class Node: def __init__(self, val=None, data_mp=None, pre=None, next=None): self.val = val self.data_mp = {} if data_mp is None else data_mp self.pre = pre self.next = next def __lt__(self, nd): return self.val < nd.val def get_one(self): if not self.data_mp: return '' else: return list(self.data_mp.items())[0][0] def __getitem__(self, key): return self.data_mp[key] def __iter__(self): return iter(self.data_mp) def __delitem__(self, key): del self.data_mp[key] def __setitem__(self, key, val): self.data_mp[key] = val def is_empty(self): return self.data_mp == {} def __repr__(self): return 'node({},{})'.format(self.val, self.data_mp) class Doublelinkedlist: def __init__(self): self.head = self.tail = node(0) self.head.next = self.head self.head.pre = self.head self.chain_mp = {0: self.head} def __str__(self): li = list(self.chain_mp.values()) li = [str(i) for i in li] return 'min:{}, max:{}\n'.format(self.head.val, self.tail.val) + '\n'.join(li) def get_max(self): return self.tail.getOne() def get_min(self): return self.head.getOne() def add_inc_node(self, val): self.chain_mp[val].pre = self.chain_mp[val - 1] self.chain_mp[val].next = self.chain_mp[val - 1].next self.chain_mp[val - 1].next.pre = self.chain_mp[val - 1].next = self.chain_mp[val] def add_dec_node(self, val): self.chain_mp[val].next = self.chain_mp[val + 1] self.chain_mp[val].pre = self.chain_mp[val + 1].pre self.chain_mp[val + 1].pre.next = self.chain_mp[val + 1].pre = self.chain_mp[val] def add_node(self, val, dec=False): self.chain_mp[val] = node(val) if dec: self.addDecNode(val) else: self.addIncNode(val) if self.tail.val < val: self.tail = self.chain_mp[val] if self.head.val > val or self.head.val == 0: self.head = self.chain_mp[val] def del_node(self, val): self.chain_mp[val].next.pre = self.chain_mp[val].pre self.chain_mp[val].pre.next = self.chain_mp[val].next if self.tail.val == val: self.tail = self.chain_mp[val].pre if self.head.val == val: self.head = self.chain_mp[val].next del self.chain_mp[val] def inc_to(self, key, val): if val not in self.chain_mp: self.addNode(val) self.chain_mp[val][key] = val if val != 1: del self.chain_mp[val - 1][key] if self.chain_mp[val - 1].isEmpty(): self.delNode(val - 1) def dec_to(self, key, val): if val not in self.chain_mp: self.addNode(val, dec=True) if val != 0: self.chain_mp[val][key] = val del self.chain_mp[val + 1][key] if self.chain_mp[val + 1].isEmpty(): self.delNode(val + 1) class Allone: def __init__(self): """ Initialize your data structure here. """ self.op = {'inc': self.inc, 'dec': self.dec, 'getMaxKey': self.getMaxKey, 'getMinKey': self.getMinKey} self.mp = {} self.dll = double_linked_list() def __str__(self): return str(self.dll) def __getitem__(self, key): return self.mp[key] def __delitem__(self, key): del self.mp[key] def __setitem__(self, key, val): self.mp[key] = val def __iter__(self): return iter(self.mp) def inc(self, key, n=1): """ Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rtype: void """ if key in self: self[key] += n else: self[key] = n for i in range(n): self.dll.incTo(key, self[key]) def dec(self, key, n=1): """ Decrements an existing key by 1. If Key's value is 1, remove it from the data structure. :type key: str :rtype: void """ if key in self.mp: mn = min(self[key], n) for i in range(mn): self.dll.decTo(key, self[key] - i - 1) if self[key] == n: del self[key] else: self[key] = self[key] - n def get_max_key(self): """ Returns one of the keys with maximal value. :rtype: str """ return self.dll.getMax() def get_min_key(self): """ Returns one of the keys with Minimal value. :rtype: str """ return self.dll.getMin() if __name__ == '__main__': ops = ['inc', 'inc', 'inc', 'inc', 'inc', 'dec', 'dec', 'getMaxKey', 'getMinKey'] data = [['a'], ['b'], ['b'], ['b'], ['b'], ['b'], ['b'], [], []] obj = all_one() for (op, datum) in zip(ops, data): print(obj.op[op](*datum)) print(op, datum) print(obj) "\nNone\ninc ['a']\nmin:1, max:1\nnode(0,{})\nnode(1,{'a': 1})\nNone\ninc ['b']\nmin:1, max:1\nnode(0,{})\nnode(1,{'a': 1, 'b': 1})\nNone\ninc ['b']\nmin:1, max:2\nnode(0,{})\nnode(1,{'a': 1})\nnode(2,{'b': 2})\nNone\ninc ['b']\nmin:1, max:3\nnode(0,{})\nnode(1,{'a': 1})\nnode(3,{'b': 3})\nNone\ninc ['b']\nmin:1, max:4\nnode(0,{})\nnode(1,{'a': 1})\nnode(4,{'b': 4})\nNone\ndec ['b']\nmin:1, max:3\nnode(0,{})\nnode(1,{'a': 1})\nnode(3,{'b': 3})\nNone\ndec ['b']\nmin:1, max:2\nnode(0,{})\nnode(1,{'a': 1})\nnode(2,{'b': 2})\nb\ngetMaxKey []\nmin:1, max:2\nnode(0,{})\nnode(1,{'a': 1})\nnode(2,{'b': 2})\na\ngetMinKey []\nmin:1, max:2\nnode(0,{})\nnode(1,{'a': 1})\nnode(2,{'b': 2})\n"
def insertData(db): db.insert("RESTRICTION",('Titanic',1997,'M','Australia')) db.insert("RESTRICTION",('Titanic',1997,'KT','Belgium')) db.insert("RESTRICTION",('Titanic',1997,'TE','Chile')) db.insert("RESTRICTION",('Titanic',1997,'K-12','Finland')) db.insert("RESTRICTION",('Titanic',1997,'U','France')) db.insert("RESTRICTION",('Titanic',1997,'12(w)','Germany')) db.insert("RESTRICTION",('Titanic',1997,'IIA','HongKong')) db.insert("RESTRICTION",('Titanic',1997,'12','UK')) db.insert("RESTRICTION",('Shakespeare_in_Love',1998,'M','Australia')) db.insert("RESTRICTION",('Shakespeare_in_Love',1998,'U','France')) db.insert("RESTRICTION",('Shakespeare_in_Love',1998,'6(bw)','Germany')) db.insert("RESTRICTION",('Shakespeare_in_Love',1998,'M','New_Zealand')) db.insert("RESTRICTION",('The_Cider_House_Rules',1999,'M','Australia')) db.insert("RESTRICTION",('The_Cider_House_Rules',1999,'K-12','Finland')) db.insert("RESTRICTION",('The_Cider_House_Rules',1999,'M','New_Zealand')) db.insert("RESTRICTION",('The_Cider_House_Rules',1999,'U','France')) db.insert("RESTRICTION",('The_Cider_House_Rules',1999,'12','Germany')) db.insert("RESTRICTION",('The_Price_of_Milk',2000,'M','New_Zealand')) db.insert("RESTRICTION",('The_Price_of_Milk',2000,'PG-13','USA')) db.insert("RESTRICTION",('Topless_Women_Talk_About_Their_Lives',1997,'M','Australia')) db.insert("RESTRICTION",('The_Piano',1993,'M','Australia')) db.insert("RESTRICTION",('The_Piano',1993,'R','USA')) db.insert("RESTRICTION",('Mad_Max',1979,'R','USA')) db.insert("RESTRICTION",('Mad_Max',1979,'R','Australia')) db.insert("RESTRICTION",('Strictly_Ballroom',1992,'PG','Australia')) db.insert("RESTRICTION",('Strictly_Ballroom',1992,'PG','USA')) db.insert("RESTRICTION",('My_Mother_Frank',2000,'M','Australia')) db.insert("RESTRICTION",('My_Mother_Frank',2000,'M','New_Zealand')) db.insert("RESTRICTION",('American_Psycho',2000,'R18','New_Zealand')) db.insert("RESTRICTION",('American_Psycho',2000,'R','Australia')) db.insert("RESTRICTION",('American_Psycho',2000,'R','USA')) db.insert("RESTRICTION",('Scream_2',1997,'R','USA')) db.insert("RESTRICTION",('Scream_3',2000,'R','USA')) db.insert("RESTRICTION",('Scream_3',2000,'R18','New_Zealand')) db.insert("RESTRICTION",('Traffic',2000,'R','USA')) db.insert("RESTRICTION",('Traffic',2000,'M','Australia')) db.insert("RESTRICTION",('Psycho',1960,'M','Australia')) db.insert("RESTRICTION",('Psycho',1960,'R','USA')) db.insert("RESTRICTION",('I_Know_What_You_Did_Last_Summer',1997,'M','Australia')) db.insert("RESTRICTION",('I_Know_What_You_Did_Last_Summer',1997,'R','USA')) db.insert("RESTRICTION",('Cruel_Intentions',1999,'R','USA')) db.insert("RESTRICTION",('Cruel_Intentions',1999,'M','Australia')) db.insert("RESTRICTION",('Wild_Things',1998,'M','Australia')) db.insert("RESTRICTION",('Wild_Things',1998,'R','USA')) db.insert("RESTRICTION",('Alien',1979,'M','Australia')) db.insert("RESTRICTION",('Alien',1979,'R','USA')) db.insert("RESTRICTION",('Aliens',1986,'M','Australia')) db.insert("RESTRICTION",('Aliens',1986,'R','USA')) db.insert("RESTRICTION",('Alien_3',1992,'M','Australia')) db.insert("RESTRICTION",('Alien_3',1992,'R','USA')) db.insert("RESTRICTION",('Alien:_Resurrection',1997,'M','Australia')) db.insert("RESTRICTION",('Alien:_Resurrection',1997,'R','USA')) db.insert("RESTRICTION",('Gladiator',2000,'M','Australia')) db.insert("RESTRICTION",('Gladiator',2000,'R','USA')) db.insert("RESTRICTION",('The_World_Is_Not_Enough',1999,'PG-13','USA')) db.insert("RESTRICTION",('The_World_Is_Not_Enough',1999,'M','Australia')) db.insert("RESTRICTION",('The_World_Is_Not_Enough',1999,'M','New_Zealand')) db.insert("RESTRICTION",('Heat',1995,'R','USA')) db.insert("RESTRICTION",('Heat',1995,'M','Australia')) db.insert("RESTRICTION",('American_History_X',1998,'R18','New_Zealand')) db.insert("RESTRICTION",('American_History_X',1998,'M','Australia')) db.insert("RESTRICTION",('American_History_X',1998,'R','USA')) db.insert("RESTRICTION",('Fight_Club',1999,'R','USA')) db.insert("RESTRICTION",('Fight_Club',1999,'R18','New_Zealand')) db.insert("RESTRICTION",('Fight_Club',1999,'R','Australia')) db.insert("RESTRICTION",('Out_of_Sight',1998,'M','Australia')) db.insert("RESTRICTION",('Out_of_Sight',1998,'R','USA')) db.insert("RESTRICTION",('Entrapment',1999,'PG-13','USA')) db.insert("RESTRICTION",('Entrapment',1999,'M','New_Zealand')) db.insert("RESTRICTION",('Entrapment',1999,'M','Australia')) db.insert("RESTRICTION",('The_Insider',1999,'M','New_Zealand')) db.insert("RESTRICTION",('The_Insider',1999,'R','USA')) db.insert("RESTRICTION",('The_Blair_Witch_Project',1999,'R','USA')) db.insert("RESTRICTION",('The_Blair_Witch_Project',1999,'M','Australia')) db.insert("RESTRICTION",('Lethal_Weapon_4',1998,'M','Australia')) db.insert("RESTRICTION",('Lethal_Weapon_4',1998,'R','USA')) db.insert("RESTRICTION",('The_Fifth_Element',1997,'PG-13','USA')) db.insert("RESTRICTION",('The_Fifth_Element',1997,'PG','Australia')) db.insert("RESTRICTION",('The_Sixth_Sense',1999,'M','Australia')) db.insert("RESTRICTION",('The_Sixth_Sense',1999,'M','New_Zealand')) db.insert("RESTRICTION",('The_Sixth_Sense',1999,'PG-13','USA')) db.insert("RESTRICTION",('Unbreakable',2000,'PG-13','USA')) db.insert("RESTRICTION",('Unbreakable',2000,'M','New_Zealand')) db.insert("RESTRICTION",('Unbreakable',2000,'M','Australia')) db.insert("RESTRICTION",('Armageddon',1998,'M','Australia')) db.insert("RESTRICTION",('Armageddon',1998,'PG-13','USA')) db.insert("RESTRICTION",('The_Kid',2000,'PG','Australia')) db.insert("RESTRICTION",('The_Kid',2000,'PG','USA')) db.insert("RESTRICTION",('The_Kid',2000,'PG','New_Zealand')) db.insert("RESTRICTION",('Twelve_Monkeys',1995,'M','Australia')) db.insert("RESTRICTION",('Twelve_Monkeys',1995,'R','USA')) db.insert("RESTRICTION",('Affliction',1997,'R','USA')) db.insert("RESTRICTION",('Affliction',1997,'M','Australia')) db.insert("RESTRICTION",('American_Beauty',1999,'R','USA')) db.insert("RESTRICTION",('American_Beauty',1999,'M','Australia')) db.insert("RESTRICTION",('American_Beauty',1999,'R18','New_Zealand')) db.insert("RESTRICTION",('Boys_Dont_Cry',1999,'R18','New_Zealand')) db.insert("RESTRICTION",('Boys_Dont_Cry',1999,'R','USA')) db.insert("RESTRICTION",('Boys_Dont_Cry',1999,'R','Australia')) db.insert("RESTRICTION",('Gandhi',1982,'PG','USA')) db.insert("RESTRICTION",('Hanging_Up',2000,'PG-13','USA')) db.insert("RESTRICTION",('Hanging_Up',2000,'M','New_Zealand')) db.insert("RESTRICTION",('Life_is_Beautiful',1997,'M','New_Zealand')) db.insert("RESTRICTION",('Life_is_Beautiful',1997,'M','Australia')) db.insert("RESTRICTION",('Life_is_Beautiful',1997,'PG-13','USA')) db.insert("RESTRICTION",('Proof_of_Life',2000,'M','New_Zealand')) db.insert("RESTRICTION",('Proof_of_Life',2000,'M','Australia')) db.insert("RESTRICTION",('Proof_of_Life',2000,'R','USA')) db.insert("RESTRICTION",('Saving_Private_Ryan',1998,'R','USA')) db.insert("RESTRICTION",('Saving_Private_Ryan',1998,'M','Australia')) db.insert("RESTRICTION",('The_Birds',1963,'PG','Australia')) db.insert("RESTRICTION",('The_Birds',1963,'PG-13','USA')) db.insert("RESTRICTION",('Rear_Window',1954,'PG','Australia')) db.insert("RESTRICTION",('Rear_Window',1954,'PG','USA')) db.insert("RESTRICTION",('The_Matrix',1999,'M','New_Zealand')) db.insert("RESTRICTION",('The_Matrix',1999,'M','Australia')) db.insert("RESTRICTION",('The_Matrix',1999,'R','USA')) db.insert("RESTRICTION",('Toy_Story',1995,'G','Australia')) db.insert("RESTRICTION",('Toy_Story',1995,'G','USA')) db.insert("RESTRICTION",('You_have_Got_Mail',1998,'PG','USA')) db.insert("RESTRICTION",('Rear_Window',1954,'16','Germany')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'13','Argentina')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'14','Chile')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'K-12','Finland')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'U','France')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'12','Germany')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'12','Portugal')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'M','Portugal')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'T','Spain')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'11','Sweden')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'15','UK')) db.insert("RESTRICTION",('Bullets_Over_Broadway',1994,'R','USA')) db.insert("RESTRICTION",('Tombstone',1993,'M','Australia')) db.insert("RESTRICTION",('Tombstone',1993,'K-16','Finland')) db.insert("RESTRICTION",('Tombstone',1993,'16','Germany')) db.insert("RESTRICTION",('Tombstone',1993,'18','Spain')) db.insert("RESTRICTION",('Tombstone',1993,'15','Sweden')) db.insert("RESTRICTION",('Tombstone',1993,'15','UK')) db.insert("RESTRICTION",('Tombstone',1993,'R','USA')) db.insert("RESTRICTION",('Alice',1990,'13','Argentina')) db.insert("RESTRICTION",('Alice',1990,'14','Chile')) db.insert("RESTRICTION",('Alice',1990,'S','Finland')) db.insert("RESTRICTION",('Alice',1990,'U','France')) db.insert("RESTRICTION",('Alice',1990,'12','Germany')) db.insert("RESTRICTION",('Alice',1990,'Btl','Sweden')) db.insert("RESTRICTION",('Alice',1990,'12','UK')) db.insert("RESTRICTION",('Alice',1990,'PG-13','USA')) db.insert("RESTRICTION",('Mermaids',1990,'13','Argentina')) db.insert("RESTRICTION",('Mermaids',1990,'14','Chile')) db.insert("RESTRICTION",('Mermaids',1990,'K-12','Finland')) db.insert("RESTRICTION",('Mermaids',1990,'U','France')) db.insert("RESTRICTION",('Mermaids',1990,'12','Germany')) db.insert("RESTRICTION",('Mermaids',1990,'11','Sweden')) db.insert("RESTRICTION",('Mermaids',1990,'15','UK')) db.insert("RESTRICTION",('Mermaids',1990,'PG-13','USA')) db.insert("RESTRICTION",('Exotica',1994,'18','Chile')) db.insert("RESTRICTION",('Exotica',1994,'K-16','Finland')) db.insert("RESTRICTION",('Exotica',1994,'IIB','HongKong')) db.insert("RESTRICTION",('Exotica',1994,'M','Portugal')) db.insert("RESTRICTION",('Exotica',1994,'16','Portugal')) db.insert("RESTRICTION",('Exotica',1994,'13','Spain')) db.insert("RESTRICTION",('Exotica',1994,'15','Sweden')) db.insert("RESTRICTION",('Exotica',1994,'18','UK')) db.insert("RESTRICTION",('Exotica',1994,'R','USA')) db.insert("RESTRICTION",('Red_Rock_West',1992,'16','Germany')) db.insert("RESTRICTION",('Red_Rock_West',1992,'T','Spain')) db.insert("RESTRICTION",('Red_Rock_West',1992,'15','UK')) db.insert("RESTRICTION",('Red_Rock_West',1992,'R','USA')) db.insert("RESTRICTION",('Chaplin',1992,'13','Argentina')) db.insert("RESTRICTION",('Chaplin',1992,'14','Chile')) db.insert("RESTRICTION",('Chaplin',1992,'S','Finland')) db.insert("RESTRICTION",('Chaplin',1992,'6','Germany')) db.insert("RESTRICTION",('Chaplin',1992,'T','Spain')) db.insert("RESTRICTION",('Chaplin',1992,'Btl','Sweden')) db.insert("RESTRICTION",('Chaplin',1992,'15','UK')) db.insert("RESTRICTION",('Chaplin',1992,'PG-13','USA')) db.insert("RESTRICTION",('Fearless',1993,'13','Argentina')) db.insert("RESTRICTION",('Fearless',1993,'M','Australia')) db.insert("RESTRICTION",('Fearless',1993,'KT','Belgium')) db.insert("RESTRICTION",('Fearless',1993,'14','Chile')) db.insert("RESTRICTION",('Fearless',1993,'K-14','Finland')) db.insert("RESTRICTION",('Fearless',1993,'12','Germany')) db.insert("RESTRICTION",('Fearless',1993,'12','Netherlands')) db.insert("RESTRICTION",('Fearless',1993,'13','Spain')) db.insert("RESTRICTION",('Fearless',1993,'15','Sweden')) db.insert("RESTRICTION",('Fearless',1993,'15','UK')) db.insert("RESTRICTION",('Fearless',1993,'R','USA')) db.insert("RESTRICTION",('Threesome',1994,'MA','Australia')) db.insert("RESTRICTION",('Threesome',1994,'K-16','Finland')) db.insert("RESTRICTION",('Threesome',1994,'16','Germany')) db.insert("RESTRICTION",('Threesome',1994,'M','Portugal')) db.insert("RESTRICTION",('Threesome',1994,'18','Spain')) db.insert("RESTRICTION",('Threesome',1994,'11','Sweden')) db.insert("RESTRICTION",('Threesome',1994,'18','UK')) db.insert("RESTRICTION",('Threesome',1994,'R','USA')) db.insert("RESTRICTION",('Jungle_Fever',1991,'K-14','Finland')) db.insert("RESTRICTION",('Jungle_Fever',1991,'16','Germany')) db.insert("RESTRICTION",('Jungle_Fever',1991,'18','Spain')) db.insert("RESTRICTION",('Jungle_Fever',1991,'15','Sweden')) db.insert("RESTRICTION",('Jungle_Fever',1991,'18','UK')) db.insert("RESTRICTION",('Jungle_Fever',1991,'R','USA')) db.insert("RESTRICTION",('Internal_Affairs',1990,'18','Argentina')) db.insert("RESTRICTION",('Internal_Affairs',1990,'K-16','Finland')) db.insert("RESTRICTION",('Internal_Affairs',1990,'18','Germany')) db.insert("RESTRICTION",('Internal_Affairs',1990,'15','Sweden')) db.insert("RESTRICTION",('Internal_Affairs',1990,'18','UK')) db.insert("RESTRICTION",('Internal_Affairs',1990,'R','USA')) db.insert("RESTRICTION",('Single_White_Female',1992,'18','Argentina')) db.insert("RESTRICTION",('Single_White_Female',1992,'M','Australia')) db.insert("RESTRICTION",('Single_White_Female',1992,'18','Chile')) db.insert("RESTRICTION",('Single_White_Female',1992,'K-16','Finland')) db.insert("RESTRICTION",('Single_White_Female',1992,'16','Germany')) db.insert("RESTRICTION",('Single_White_Female',1992,'18','Spain')) db.insert("RESTRICTION",('Single_White_Female',1992,'15','Sweden')) db.insert("RESTRICTION",('Single_White_Female',1992,'18','UK')) db.insert("RESTRICTION",('Single_White_Female',1992,'R','USA')) db.insert("RESTRICTION",('Trust',1990,'K-14','Finland')) db.insert("RESTRICTION",('Trust',1990,'15','Sweden')) db.insert("RESTRICTION",('Trust',1990,'R','USA')) db.insert("RESTRICTION",('Ju_Dou',1990,'18','Chile')) db.insert("RESTRICTION",('Ju_Dou',1990,'K-12','Finland')) db.insert("RESTRICTION",('Ju_Dou',1990,'15','Sweden')) db.insert("RESTRICTION",('Ju_Dou',1990,'PG-13','USA')) db.insert("RESTRICTION",('Dahong_Denglong_Gaogao_Gua',1991,'13','Argentina')) db.insert("RESTRICTION",('Dahong_Denglong_Gaogao_Gua',1991,'14','Chile')) db.insert("RESTRICTION",('Dahong_Denglong_Gaogao_Gua',1991,'12','Germany')) db.insert("RESTRICTION",('Dahong_Denglong_Gaogao_Gua',1991,'13','Spain')) db.insert("RESTRICTION",('Dahong_Denglong_Gaogao_Gua',1991,'11','Sweden')) db.insert("RESTRICTION",('Dahong_Denglong_Gaogao_Gua',1991,'PG','USA')) db.insert("RESTRICTION",('Cyrano_de_Bergerac',1990,'TE','Chile')) db.insert("RESTRICTION",('Cyrano_de_Bergerac',1990,'U','France')) db.insert("RESTRICTION",('Cyrano_de_Bergerac',1990,'11','Sweden')) db.insert("RESTRICTION",('Cyrano_de_Bergerac',1990,'PG','USA')) db.insert("RESTRICTION",('Manhattan_Murder_Mystery',1993,'13','Argentina')) db.insert("RESTRICTION",('Manhattan_Murder_Mystery',1993,'T','Spain')) db.insert("RESTRICTION",('Manhattan_Murder_Mystery',1993,'11','Sweden')) db.insert("RESTRICTION",('Manhattan_Murder_Mystery',1993,'PG','USA')) db.insert("RESTRICTION",('El_Mariachi',1992,'M','Australia')) db.insert("RESTRICTION",('El_Mariachi',1992,'K-16','Finland')) db.insert("RESTRICTION",('El_Mariachi',1992,'18','Germany')) db.insert("RESTRICTION",('El_Mariachi',1992,'18','Spain')) db.insert("RESTRICTION",('El_Mariachi',1992,'15','UK')) db.insert("RESTRICTION",('El_Mariachi',1992,'R','USA')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'MA','Australia')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'18','Chile')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'K-16','Finland')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'16','Germany')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'16','Portugal')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'18','Spain')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'15','Sweden')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'18','UK')) db.insert("RESTRICTION",('Once_Were_Warriors',1994,'R','USA')) db.insert("RESTRICTION",('Priest',1994,'MA','Australia')) db.insert("RESTRICTION",('Priest',1994,'K-16','Finland')) db.insert("RESTRICTION",('Priest',1994,'12(w)','Germany')) db.insert("RESTRICTION",('Priest',1994,'16','Portugal')) db.insert("RESTRICTION",('Priest',1994,'18','Spain')) db.insert("RESTRICTION",('Priest',1994,'15','Sweden')) db.insert("RESTRICTION",('Priest',1994,'15','UK')) db.insert("RESTRICTION",('Priest',1994,'R','USA')) db.insert("RESTRICTION",('Pump_Up_the_Volum',1990,'M','Australia')) db.insert("RESTRICTION",('Pump_Up_the_Volum',1990,'12','Germany')) db.insert("RESTRICTION",('Pump_Up_the_Volum',1990,'15','UK')) db.insert("RESTRICTION",('Pump_Up_the_Volum',1990,'R','USA')) db.insert("RESTRICTION",('Benny_and_Joon',1993,'U','France')) db.insert("RESTRICTION",('Benny_and_Joon',1993,'12','Germany')) db.insert("RESTRICTION",('Benny_and_Joon',1993,'T','Spain')) db.insert("RESTRICTION",('Benny_and_Joon',1993,'11','Sweden')) db.insert("RESTRICTION",('Benny_and_Joon',1993,'12','UK')) db.insert("RESTRICTION",('Benny_and_Joon',1993,'PG','USA')) db.insert("RESTRICTION",('Six_Degrees_of_Separation',1993,'13','Argentina')) db.insert("RESTRICTION",('Six_Degrees_of_Separation',1993,'13','Spain')) db.insert("RESTRICTION",('Six_Degrees_of_Separation',1993,'15','UK')) db.insert("RESTRICTION",('Six_Degrees_of_Separation',1993,'R','USA')) db.insert("RESTRICTION",('Bawang_Bie_Ji',1993,'18','Chile')) db.insert("RESTRICTION",('Bawang_Bie_Ji',1993,'K-14','Finland')) db.insert("RESTRICTION",('Bawang_Bie_Ji',1993,'12','Germany')) db.insert("RESTRICTION",('Bawang_Bie_Ji',1993,'18','Spain')) db.insert("RESTRICTION",('Bawang_Bie_Ji',1993,'15','Sweden')) db.insert("RESTRICTION",('Bawang_Bie_Ji',1993,'15','UK')) db.insert("RESTRICTION",('Bawang_Bie_Ji',1993,'R','USA')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'13','Argentina')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'M','Australia')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'14','Chile')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'K-16','Finland')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'16','Germany')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'18','Spain')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'15','Sweden')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'15','UK')) db.insert("RESTRICTION",('In_the_Line_of_Fire',1993,'R','USA')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'M','Australia')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'18','Chile')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'K-16','Finland')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'16','Germany')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'16','Portugal')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'18','Spain')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'15','Sweden')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'18','UK')) db.insert("RESTRICTION",('Heavenly_Creatures',1994,'R','USA')) db.insert("RESTRICTION",('Hoop_Dreams',1994,'M','Australia')) db.insert("RESTRICTION",('Hoop_Dreams',1994,'15','UK')) db.insert("RESTRICTION",('Hoop_Dreams',1994,'PG-13','USA')) db.insert("RESTRICTION",('Seven',1995,'R','Australia')) db.insert("RESTRICTION",('Seven',1995,'18','Chile')) db.insert("RESTRICTION",('Seven',1995,'K-16','Finland')) db.insert("RESTRICTION",('Seven',1995,'16','Germany')) db.insert("RESTRICTION",('Seven',1995,'IIB','HongKong')) db.insert("RESTRICTION",('Seven',1995,'16','Portugal')) db.insert("RESTRICTION",('Seven',1995,'18','Spain')) db.insert("RESTRICTION",('Seven',1995,'15','Sweden')) db.insert("RESTRICTION",('Seven',1995,'18','UK')) db.insert("RESTRICTION",('Seven',1995,'R','USA')) db.insert("RESTRICTION",('Shallow_Grave',1994,'MA','Australia')) db.insert("RESTRICTION",('Shallow_Grave',1994,'K-16','Finland')) db.insert("RESTRICTION",('Shallow_Grave',1994,'16','Germany')) db.insert("RESTRICTION",('Shallow_Grave',1994,'M','Portugal')) db.insert("RESTRICTION",('Shallow_Grave',1994,'18','Spain')) db.insert("RESTRICTION",('Shallow_Grave',1994,'15','Sweden')) db.insert("RESTRICTION",('Shallow_Grave',1994,'18','UK')) db.insert("RESTRICTION",('Shallow_Grave',1994,'R','USA')) db.insert("RESTRICTION",('French_Kiss',1995,'PG','Australia')) db.insert("RESTRICTION",('French_Kiss',1995,'TE','Chile')) db.insert("RESTRICTION",('French_Kiss',1995,'U','France')) db.insert("RESTRICTION",('French_Kiss',1995,'6(bw)','Germany')) db.insert("RESTRICTION",('French_Kiss',1995,'12','Portugal')) db.insert("RESTRICTION",('French_Kiss',1995,'T','Spain')) db.insert("RESTRICTION",('French_Kiss',1995,'12','UK')) db.insert("RESTRICTION",('French_Kiss',1995,'PG-13','USA')) db.insert("RESTRICTION",('Braindead',1992,'18','Argentina')) db.insert("RESTRICTION",('Braindead',1992,'R','Australia')) db.insert("RESTRICTION",('Braindead',1992,'18','Chile')) db.insert("RESTRICTION",('Braindead',1992,'18','Germany')) db.insert("RESTRICTION",('Braindead',1992,'16','Portugal')) db.insert("RESTRICTION",('Braindead',1992,'18','Spain')) db.insert("RESTRICTION",('Braindead',1992,'15','Sweden')) db.insert("RESTRICTION",('Braindead',1992,'18','UK')) db.insert("RESTRICTION",('Clerks',1994,'R','Australia')) db.insert("RESTRICTION",('Clerks',1994,'K-12','Finland')) db.insert("RESTRICTION",('Clerks',1994,'12','Germany')) db.insert("RESTRICTION",('Clerks',1994,'18','Spain')) db.insert("RESTRICTION",('Clerks',1994,'Btl','Sweden')) db.insert("RESTRICTION",('Clerks',1994,'18','UK')) db.insert("RESTRICTION",('Clerks',1994,'R','USA')) db.insert("RESTRICTION",('Apollo_13',1995,'13','Argentina')) db.insert("RESTRICTION",('Apollo_13',1995,'PG','Australia')) db.insert("RESTRICTION",('Apollo_13',1995,'KT','Belgium')) db.insert("RESTRICTION",('Apollo_13',1995,'14','Chile')) db.insert("RESTRICTION",('Apollo_13',1995,'U','France')) db.insert("RESTRICTION",('Apollo_13',1995,'6(bw)','Germany')) db.insert("RESTRICTION",('Apollo_13',1995,'12','Portugal')) db.insert("RESTRICTION",('Apollo_13',1995,'T','Spain')) db.insert("RESTRICTION",('Apollo_13',1995,'PG','USA')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'R','Australia')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'18','Germany')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'R18','New_Zealand')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'16','Portugal')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'18','Spain')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'15','Sweden')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'18','UK')) db.insert("RESTRICTION",('Reservoir_Dogs',1992,'R','USA')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'18','Argentina')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'R','Australia')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'18','Chile')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'16','Germany')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'16','Portugal')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'18','Spain')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'15','Sweden')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'18','UK')) db.insert("RESTRICTION",('Pulp_Fiction',1994,'R','USA')) db.insert("RESTRICTION",('Yinshi_Nan_Nu',1994,'13','Argentina')) db.insert("RESTRICTION",('Yinshi_Nan_Nu',1994,'14','Chile')) db.insert("RESTRICTION",('Yinshi_Nan_Nu',1994,'S','Finland')) db.insert("RESTRICTION",('Yinshi_Nan_Nu',1994,'6','Germany')) db.insert("RESTRICTION",('Yinshi_Nan_Nu',1994,'12','Portugal')) db.insert("RESTRICTION",('Yinshi_Nan_Nu',1994,'T','Spain')) db.insert("RESTRICTION",('Short_Cuts',1993,'MA','Australia')) db.insert("RESTRICTION",('Short_Cuts',1993,'K-14','Finland')) db.insert("RESTRICTION",('Short_Cuts',1993,'U','France')) db.insert("RESTRICTION",('Short_Cuts',1993,'16','Germany')) db.insert("RESTRICTION",('Short_Cuts',1993,'18','Spain')) db.insert("RESTRICTION",('Short_Cuts',1993,'15','Sweden')) db.insert("RESTRICTION",('Short_Cuts',1993,'18','UK')) db.insert("RESTRICTION",('Short_Cuts',1993,'R','USA')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'13','Argentina')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'M','Australia')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'14','Chile')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'12(w)','Germany')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'12','Netherlands')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'13','Spain')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'15','Sweden')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'15','UK')) db.insert("RESTRICTION",('Legends_of_the_Fall',1994,'R','USA')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'18','Argentina')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'R','Australia')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'18','Chile')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'K-16','Finland')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'18','Germany')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'12','Portugal')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'18','Spain')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'15','Sweden')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'18','UK')) db.insert("RESTRICTION",('Natural_Born_Killers',1994,'R','USA')) db.insert("RESTRICTION",('In_the_Mouth_of_Madness',1995,'M','Australia')) db.insert("RESTRICTION",('In_the_Mouth_of_Madness',1995,'16','Germany')) db.insert("RESTRICTION",('In_the_Mouth_of_Madness',1995,'16','Portugal')) db.insert("RESTRICTION",('In_the_Mouth_of_Madness',1995,'18','Spain')) db.insert("RESTRICTION",('In_the_Mouth_of_Madness',1995,'18','UK')) db.insert("RESTRICTION",('In_the_Mouth_of_Madness',1995,'R','USA')) db.insert("RESTRICTION",('Forrest_Gump',1994,'13','Argentina')) db.insert("RESTRICTION",('Forrest_Gump',1994,'PG','Australia')) db.insert("RESTRICTION",('Forrest_Gump',1994,'14','Chile')) db.insert("RESTRICTION",('Forrest_Gump',1994,'K-12','Finland')) db.insert("RESTRICTION",('Forrest_Gump',1994,'12','Germany')) db.insert("RESTRICTION",('Forrest_Gump',1994,'12','Netherlands')) db.insert("RESTRICTION",('Forrest_Gump',1994,'T','Spain')) db.insert("RESTRICTION",('Forrest_Gump',1994,'11','Sweden')) db.insert("RESTRICTION",('Forrest_Gump',1994,'12','UK')) db.insert("RESTRICTION",('Forrest_Gump',1994,'PG-13','USA')) db.insert("RESTRICTION",('Malcolm_X',1992,'13','Argentina')) db.insert("RESTRICTION",('Malcolm_X',1992,'M','Australia')) db.insert("RESTRICTION",('Malcolm_X',1992,'14','Chile')) db.insert("RESTRICTION",('Malcolm_X',1992,'K-14','Finland')) db.insert("RESTRICTION",('Malcolm_X',1992,'12','Germany')) db.insert("RESTRICTION",('Malcolm_X',1992,'T','Spain')) db.insert("RESTRICTION",('Malcolm_X',1992,'15','Sweden')) db.insert("RESTRICTION",('Malcolm_X',1992,'15','UK')) db.insert("RESTRICTION",('Malcolm_X',1992,'PG-13','USA')) db.insert("RESTRICTION",('Dead_Again',1991,'M','Australia')) db.insert("RESTRICTION",('Dead_Again',1991,'K-16','Finland')) db.insert("RESTRICTION",('Dead_Again',1991,'16','Germany')) db.insert("RESTRICTION",('Dead_Again',1991,'13','Spain')) db.insert("RESTRICTION",('Dead_Again',1991,'15','Sweden')) db.insert("RESTRICTION",('Dead_Again',1991,'15','UK')) db.insert("RESTRICTION",('Dead_Again',1991,'R','USA')) db.insert("RESTRICTION",('Jurassic_Park',1993,'13','Argentina')) db.insert("RESTRICTION",('Jurassic_Park',1993,'PG','Australia')) db.insert("RESTRICTION",('Jurassic_Park',1993,'TE','Chile')) db.insert("RESTRICTION",('Jurassic_Park',1993,'K-16','Finland')) db.insert("RESTRICTION",('Jurassic_Park',1993,'U','France')) db.insert("RESTRICTION",('Jurassic_Park',1993,'12','Germany')) db.insert("RESTRICTION",('Jurassic_Park',1993,'13','Spain')) db.insert("RESTRICTION",('Jurassic_Park',1993,'11','Sweden')) db.insert("RESTRICTION",('Jurassic_Park',1993,'PG-13','USA')) db.insert("RESTRICTION",('Clueless',1995,'13','Argentina')) db.insert("RESTRICTION",('Clueless',1995,'M','Australia')) db.insert("RESTRICTION",('Clueless',1995,'KT','Belgium')) db.insert("RESTRICTION",('Clueless',1995,'14','Chile')) db.insert("RESTRICTION",('Clueless',1995,'S','Finland')) db.insert("RESTRICTION",('Clueless',1995,'U','France')) db.insert("RESTRICTION",('Clueless',1995,'12','Portugal')) db.insert("RESTRICTION",('Clueless',1995,'T','Spain')) db.insert("RESTRICTION",('Clueless',1995,'11','Sweden')) db.insert("RESTRICTION",('Clueless',1995,'12','UK')) db.insert("RESTRICTION",('Clueless',1995,'PG-13','USA')) db.insert("RESTRICTION",('Shadowlands',1993,'13','Argentina')) db.insert("RESTRICTION",('Shadowlands',1993,'14','Chile')) db.insert("RESTRICTION",('Shadowlands',1993,'S','Finland')) db.insert("RESTRICTION",('Shadowlands',1993,'PG','USA')) db.insert("RESTRICTION",('Amateur',1994,'K-16','Finland')) db.insert("RESTRICTION",('Amateur',1994,'18','Spain')) db.insert("RESTRICTION",('Amateur',1994,'15','Sweden')) db.insert("RESTRICTION",('Amateur',1994,'15','UK')) db.insert("RESTRICTION",('Amateur',1994,'R','USA')) db.insert("RESTRICTION",('GoodFellas',1990,'18','Argentina')) db.insert("RESTRICTION",('GoodFellas',1990,'R','Australia')) db.insert("RESTRICTION",('GoodFellas',1990,'18','Chile')) db.insert("RESTRICTION",('GoodFellas',1990,'K-16','Finland')) db.insert("RESTRICTION",('GoodFellas',1990,'16','Germany')) db.insert("RESTRICTION",('GoodFellas',1990,'16','Portugal')) db.insert("RESTRICTION",('GoodFellas',1990,'15','Sweden')) db.insert("RESTRICTION",('GoodFellas',1990,'18','UK')) db.insert("RESTRICTION",('GoodFellas',1990,'R','USA')) db.insert("RESTRICTION",('Little_Women',1994,'G','Australia')) db.insert("RESTRICTION",('Little_Women',1994,'TE','Chile')) db.insert("RESTRICTION",('Little_Women',1994,'S','Finland')) db.insert("RESTRICTION",('Little_Women',1994,'T','Spain')) db.insert("RESTRICTION",('Little_Women',1994,'Btl','Sweden')) db.insert("RESTRICTION",('Little_Women',1994,'PG','USA')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'PG','Australia')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'TE','Chile')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'S','Finland')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'U','France')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'6(bw)','Germany')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'12','Portugal')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'T','Spain')) db.insert("RESTRICTION",('While_You_Were_Sleeping',1995,'PG','USA')) db.insert("ROLE",('00000002','Titanic',1997,'Jack Dawson','')) db.insert("ROLE",('00001188','Titanic',1997,'Rose DeWitt 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db.insert("ROLE",('00000065','Gandhi',1982,'Pandit Nehru','')) db.insert("ROLE",('00000066','Gandhi',1982,'General Dyer','')) db.insert("ROLE",('00000083','American Beauty',1999,'Lester Burnham','')) db.insert("ROLE",('00000084','American Beauty',1999,'Carolyn Burnham','')) db.insert("ROLE",('00000085','American Beauty',1999,'Jane Burnham','')) db.insert("ROLE",('00000086','American Beauty',1999,'Ricky Fitts','')) db.insert("ROLE",('00000103','Affliction',1997,'Wade Whitehouse','')) db.insert("ROLE",('00000104','Affliction',1997,'Jill','')) db.insert("ROLE",('00000105','Affliction',1997,'Gordon LaRiviere','')) db.insert("ROLE",('00000106','Affliction',1997,'Jack Hewitt','')) db.insert("ROLE",('00000107','Affliction',1997,'Glen Whitehouse','')) db.insert("ROLE",('00000121','Life is Beautiful',1997,'Guido Orefice','')) db.insert("ROLE",('00000123','Life is Beautiful',1997,'Dora','')) db.insert("ROLE",('00000143','Boys Dont Cry',1999,'Brandon Teena','')) db.insert("ROLE",('00000144','Boys 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db.insert("ROLE",('00000983','Hanging Up',2000,'Maddy','')) db.insert("ROLE",('00000223','You have Got Mail',1998,'Patricia Eden','')) db.insert("ROLE",('00000163','You have Got Mail',1998,'Joe Fox III','Saving Private Ryan')) db.insert("ROLE",('00001212','You have Got Mail',1998,'Kathleen Kelly','Hanging Up')) db.insert("ROLE",('00000242','The Price of Milk',2000,'Lucinda','Topless Women Talk About Their Lives')) db.insert("ROLE",('00000243','The Price of Milk',2000,'Rob','')) db.insert("ROLE",('00000244','The Price of Milk',2000,'Drosophila','Topless Women Talk About Their Lives')) db.insert("ROLE",('00000262','The Footstep Man',1992,'Sam','')) db.insert("ROLE",('00000263','The Footstep Man',1992,'Mirielle','')) db.insert("ROLE",('00000264','The Footstep Man',1992,'Henri de Toulouse','')) db.insert("ROLE",('00000242','Topless Women Talk About Their Lives',1997,'Liz','The Price of Milk')) db.insert("ROLE",('00000281','Topless Women Talk About Their Lives',1997,'Neil','')) db.insert("ROLE",('00000282','Topless Women Talk About Their Lives',1997,'Ant','')) db.insert("ROLE",('00000244','Topless Women Talk About Their Lives',1997,'Prue','The Price of Milk')) db.insert("ROLE",('00000302','The Piano',1993,'Ada McGrath','')) db.insert("ROLE",('00001233','The Piano',1993,'George Baines','Reservoir Dogs')) db.insert("ROLE",('00000304','The Piano',1993,'Flora McGrath','')) db.insert("ROLE",('00000323','Mad Max',1979,'Max Rockatansky','Lethal Weapon 4')) db.insert("ROLE",('00000324','Mad Max',1979,'Jessie Rockatansky','')) db.insert("ROLE",('00000343','Strictly Ballroom',1992,'Scott Hastings','')) db.insert("ROLE",('00000344','Strictly Ballroom',1992,'Fran','')) db.insert("ROLE",('00000345','Strictly Ballroom',1992,'Shirley Hastings','')) db.insert("ROLE",('00000346','Strictly Ballroom',1992,'Doug Hastings','')) db.insert("ROLE",('00000362','My Mother Frank',2000,'Mike','')) db.insert("ROLE",('00000363','My Mother Frank',2000,'Jenny','')) db.insert("ROLE",('00000364','My Mother Frank',2000,'Frank','')) db.insert("ROLE",('00000383','American Psycho',2000,'Patrick Bateman ','')) db.insert("ROLE",('00000384','American Psycho',2000,'Donald Kimball','')) db.insert("ROLE",('00000385','American Psycho',2000,'Paul Allen','')) db.insert("ROLE",('00001153','American Psycho',2000,'Courtney Rawlinson','Pump Up the Volume')) db.insert("ROLE",('00000403','Scream 2',1997,'Dwight Dewey Riley','')) db.insert("ROLE",('00000404','Scream 2',1997,'Sidney Prescott','')) db.insert("ROLE",('00000405','Scream 2',1997,'Gale Weathers','')) db.insert("ROLE",('00000485','Scream 2',1997,'Casey','I Know What You Did Last Summer')) db.insert("ROLE",('00000421','Scream 3',2000,'Cotton Weary','')) db.insert("ROLE",('00000422','Scream 3',2000,'Female Caller','')) db.insert("ROLE",('00000423','Scream 3',2000,'The Voice','')) db.insert("ROLE",('00000424','Scream 3',2000,'Christine','')) db.insert("ROLE",('00000404','Scream 3',2000,'Sidney Prescott','Scream 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db.insert("ROLE",('00000465','Psycho',1960,'Sam Loomis','')) db.insert("ROLE",('00000466','Psycho',1960,'Mother','')) db.insert("ROLE",('00000483','I Know What You Did Last Summer',1997,'Julie James','')) db.insert("ROLE",('00000485','I Know What You Did Last Summer',1997,'Helen Shivers','Scream 2')) db.insert("ROLE",('00000484','I Know What You Did Last Summer',1997,'Barry Cox','Cruel Intentions')) db.insert("ROLE",('00000484','Cruel Intentions',1999,'Sebastian Valmont','I Know What You Did Last Summer')) db.insert("ROLE",('00000485','Cruel Intentions',1999,'Kathryn Merteuil','Scream 2')) db.insert("ROLE",('00000503','Cruel Intentions',1999,'Annette Hargrove','')) db.insert("ROLE",('00000504','Cruel Intentions',1999,'Cecile Caldwell','')) db.insert("ROLE",('00001229','Wild Things',1998,'Ray Duquette','Apollo 13')) db.insert("ROLE",('00000524','Wild Things',1998,'Sam Lombardo','')) db.insert("ROLE",('00000404','Wild Things',1998,'Suzie Toller','Scream 2')) db.insert("ROLE",('00000543','Alien',1979,'Captain','')) db.insert("ROLE",('00000544','Alien',1979,'Warrent Officer','Aliens')) db.insert("ROLE",('00000544','Aliens',1986,'Lieutenant','Alien')) db.insert("ROLE",('00000561','Aliens',1986,'Rebecca','')) db.insert("ROLE",('00000544','Alien 3',1992,'Ellen Ripley','Aliens')) db.insert("ROLE",('00000583','Alien 3',1992,'Dillon','')) db.insert("ROLE",('00000584','Alien 3',1992,'Clemens','')) db.insert("ROLE",('00000544','Alien: Resurrection',1997,'Lieutenant Ellen','Aliens')) db.insert("ROLE",('00001031','Alien: Resurrection',1997,'Betty Mechanic','Mermaids')) db.insert("ROLE",('00000604','Alien: Resurrection',1997,'Betty Chief Mechanic','')) db.insert("ROLE",('00000622','Gladiator',2000,'Maximus','The Insider')) db.insert("ROLE",('00000623','Gladiator',2000,'Commodus','')) db.insert("ROLE",('00000624','Gladiator',2000,'Lucilla','')) db.insert("ROLE",('00000643','The World Is Not Enough',1999,'James Bond','')) db.insert("ROLE",('00000644','The World Is Not Enough',1999,'CEO Elektra','')) db.insert("ROLE",('00000645','The World Is Not Enough',1999,'Christmas','')) db.insert("ROLE",('00000662','Heat',1995,'Vincent Hanna','The Insider')) db.insert("ROLE",('00000663','Heat',1995,'Neil McCauley','')) db.insert("ROLE",('00001017','Heat',1995,'Chris Shiherlis','Tombstone')) db.insert("ROLE",('00000683','American History X',1998,'Derek Vinyard','')) db.insert("ROLE",('00000684','American History X',1998,'Daniel Vinyard','')) db.insert("ROLE",('00000685','American History X',1998,'Doris Vinyard','')) db.insert("ROLE",('00000683','Fight Club',1999,'Narrator','')) db.insert("ROLE",('00001198','Fight Club',1999,'Tyler Durden','Twelve Monkeys')) db.insert("ROLE",('00000703','Fight Club',1999,'Robert Paulsen','')) db.insert("ROLE",('00000722','Out of Sight',1998,'Jack Foley','')) db.insert("ROLE",('00000723','Out of Sight',1998,'Bank Employee','')) db.insert("ROLE",('00000724','Out of Sight',1998,'Karen 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db.insert("ROLE",('00001080','Jungle Fever',1991,'Flipper Purify','')) db.insert("ROLE",('00001081','Jungle Fever',1991,'Angie Tucci','')) db.insert("ROLE",('00001088','Internal Affairs',1990,'Dennis Peck','')) db.insert("ROLE",('00001089','Internal Affairs',1990,'Raymond Avila','Dead Again')) db.insert("ROLE",('00001090','Internal Affairs',1990,'Kathleen Avila','')) db.insert("ROLE",('00001098','Single White Female',1992,'Allison Jones','')) db.insert("ROLE",('00001099','Single White Female',1992,'Hedra Carlson','')) db.insert("ROLE",('00001100','Single White Female',1992,'Sam Rawson','')) db.insert("ROLE",('00001105','Trust',1990,'Maria Coughlin','')) db.insert("ROLE",('00001106','Trust',1990,'Matthew Slaughter','Amateur')) db.insert("ROLE",('00001112','Ju Dou',1990,'Ju Dou','Daohong Denglong Gaogao Gua')) db.insert("ROLE",('00001113','Ju Dou',1990,'Yang Tian-qing','')) db.insert("ROLE",('00001112','Dahong Denglong Gaogao Gua',1991,'Songlian','Ju Dou')) 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db.insert("PERSON",('00001017','Val','Kilmer',1959)) db.insert("PERSON",('00001018','Sam','Elliott',1944)) db.insert("PERSON",('00001019','Sean','Daniel',1951)) db.insert("PERSON",('00001020','William A.','Fraker',1923)) db.insert("PERSON",('00001021','Harvey','Rosenstock',1935)) db.insert("PERSON",('00001022','Lora','Kennedy',1940)) db.insert("PERSON",('00001023','Joseph A.','Porro',1943)) db.insert("PERSON",('00001024','Joe','Mantegna',1947)) db.insert("PERSON",('00001025','Mia','Farrow',1945)) db.insert("PERSON",('00001026','William','Hurt',1950)) db.insert("PERSON",('00001027','Richard','Benjamin',1938)) db.insert("PERSON",('00001028','Patty','Dann',1942)) db.insert("PERSON",('00001029','Cherilyn','LaPierre',1946)) db.insert("PERSON",('00001030','Bob','Hoskins',1942)) db.insert("PERSON",('00001031','Winona','Ryder',1971)) db.insert("PERSON",('00001032','Lauren','Lloyd',1941)) db.insert("PERSON",('00001033','Howard','Atherton',1938)) db.insert("PERSON",('00001034','Jacqueline','Cambas',1952)) db.insert("PERSON",('00001035','Margery','Simkin',1947)) db.insert("PERSON",('00001036','Marit','Allen',1954)) db.insert("PERSON",('00001037','Atom','Egoyan',1960)) db.insert("PERSON",('00001038','David','Hemblen',1958)) db.insert("PERSON",('00001039','Don','Mckellar',1963)) db.insert("PERSON",('00001040','Mia','Kirshner',1976)) db.insert("PERSON",('00001041','Paul','Sarossy',1963)) db.insert("PERSON",('00001042','Susan','Shipton',1959)) db.insert("PERSON",('00001043','Linda','Muir',1960)) db.insert("PERSON",('00001044','John','Dahl',1956)) db.insert("PERSON",('00001045','Nicolas','Cage',1964)) db.insert("PERSON",('00001046','Craig','Reay',1967)) db.insert("PERSON",('00001047','Steve','Golin',1958)) db.insert("PERSON",('00001048','Marc','Reshovsky',1965)) db.insert("PERSON",('00001049','Scott','Chestnut',1959)) db.insert("PERSON",('00001050','Terry','Dresbach',1964)) db.insert("PERSON",('00001051','Richard','Attenborough',1923)) db.insert("PERSON",('00001052','Charles','Chaplin',1889)) db.insert("PERSON",('00001053','Robert','Downey Jr.',1965)) db.insert("PERSON",('00001054','Geraldine','Chaplin',1944)) db.insert("PERSON",('00001055','Paul','Rhys',1963)) db.insert("PERSON",('00001056','Sven','Nykvist',1922)) db.insert("PERSON",('00001057','Anne V.','Coates',1925)) db.insert("PERSON",('00001058','Mike','Fenton',1947)) db.insert("PERSON",('00001059','Ellen','Mirojnick',1949)) db.insert("PERSON",('00001060','Peter','Weir',1944)) db.insert("PERSON",('00001061','Rafael','Yglesias',1954)) db.insert("PERSON",('00001062','Jeff','Bridges',1949)) db.insert("PERSON",('00001063','Isabella','Rossellini',1952)) db.insert("PERSON",('00001064','Rosie','Perez',1964)) db.insert("PERSON",('00001065','Mark','Rosenberg',1948)) db.insert("PERSON",('00001066','Allen','Daviau',1953)) db.insert("PERSON",('00001067','Bill','Anderson',1962)) db.insert("PERSON",('00001068','Howard','Feuer',1965)) db.insert("PERSON",('00001069','Marilyn','Matthews',1955)) db.insert("PERSON",('00001070','Andrew','Fleming',1946)) db.insert("PERSON",('00001071','Lara','Boyle',1970)) db.insert("PERSON",('00001072','Stephen','Baldwin',1966)) db.insert("PERSON",('00001073','Josh','Charles',1971)) db.insert("PERSON",('00001074','Brad','Krevoy',1967)) db.insert("PERSON",('00001075','Alexander','Gruszynski',1954)) db.insert("PERSON",('00001076','Bill','Carruth',1949)) db.insert("PERSON",('00001077','Ed','Mitchell',1955)) db.insert("PERSON",('00001078','Deborah','Everton',1962)) db.insert("PERSON",('00001079','Spike','Lee',1957)) db.insert("PERSON",('00001080','Wesley','Snipes',1962)) db.insert("PERSON",('00001081','Annabella','Sciorra',1964)) db.insert("PERSON",('00001082','Ernest R.','Dickerson',1952)) db.insert("PERSON",('00001083','Samuel D.','Pollard',1963)) db.insert("PERSON",('00001084','Robi','Reed',1954)) db.insert("PERSON",('00001085','Ruth E.','Carter',1968)) db.insert("PERSON",('00001086','Mike','Figgis',1948)) db.insert("PERSON",('00001087','Henry','Bean',1943)) db.insert("PERSON",('00001088','Richard','Gere',1949)) db.insert("PERSON",('00001089','Andy','Carcia',1956)) db.insert("PERSON",('00001090','Nancy','Travis',1961)) db.insert("PERSON",('00001091','Frank','Mancuso',1958)) db.insert("PERSON",('00001092','John','Alonzo',1934)) db.insert("PERSON",('00001093','Robert','Estrin',1942)) db.insert("PERSON",('00001094','Carrie','Frazier',1947)) db.insert("PERSON",('00001095','Rudy','Dillon',1950)) db.insert("PERSON",('00001096','Barbet','Schroeder',1941)) db.insert("PERSON",('00001097','John','Lutz',1948)) db.insert("PERSON",('00001098','Bridget','Fonda',1964)) db.insert("PERSON",('00001099','Jennifer','Leigh',1962)) db.insert("PERSON",('00001100','Steven','Weber',1961)) db.insert("PERSON",('00001101','Luciano','Tovoli',1965)) db.insert("PERSON",('00001102','Lee','Percy',1971)) db.insert("PERSON",('00001103','Milena','Canonero',1965)) db.insert("PERSON",('00001104','Hal','Hartley',1959)) db.insert("PERSON",('00001105','Adrienne','Shelly',1966)) db.insert("PERSON",('00001106','Martin','Donovan',1957)) db.insert("PERSON",('00001107','Michael','Spiller',1961)) db.insert("PERSON",('00001108','Nick','Gomez',1963)) db.insert("PERSON",('00001109','Claudia','Brown',1962)) db.insert("PERSON",('00001110','Yimou','Zhang',1951)) db.insert("PERSON",('00001111','Heng','Liu',1964)) db.insert("PERSON",('00001112','Li','Gong',1965)) db.insert("PERSON",('00001113','Baotian','Li',1950)) db.insert("PERSON",('00001114','Hu','Jian',1962)) db.insert("PERSON",('00001115','Changwei','Gu',1965)) db.insert("PERSON",('00001116','Yuan','Du',1955)) db.insert("PERSON",('00001117','Zhi-an','Zhang',1963)) db.insert("PERSON",('00001118','Su','Tong',1957)) db.insert("PERSON",('00001119','Jingwu','Ma',1947)) db.insert("PERSON",('00001120','Caifei','He',1965)) db.insert("PERSON",('00001121','Fu-Sheng','Chiu',1956)) db.insert("PERSON",('00001122','Zhao','Fei',1952)) db.insert("PERSON",('00001123','Yuan','Du',1967)) db.insert("PERSON",('00001124','Jean-Paul','Rappeneau',1932)) db.insert("PERSON",('00001125','Gerard','Depardieu',1948)) db.insert("PERSON",('00001126','Anne','Brochet',1966)) db.insert("PERSON",('00001127','Rene','Cleitman',1940)) db.insert("PERSON",('00001128','Pierre','Lhomme',1930)) db.insert("PERSON",('00001129','Noelle','Boisson',1942)) db.insert("PERSON",('00001130','Franca','Squarciapion',1943)) db.insert("PERSON",('00001131','Diane','Keaton',1946)) db.insert("PERSON",('00001132','Robert','Rodriguez',1968)) db.insert("PERSON",('00001133','Carlos','Gallardo',1966)) db.insert("PERSON",('00001134','Consuelo','Gomez',1958)) db.insert("PERSON",('00001135','Lee','Tamahori',1950)) db.insert("PERSON",('00001136','Riwia','Brown',1953)) db.insert("PERSON",('00001137','Rena','Owen',1960)) db.insert("PERSON",('00001138','Temuera','Morrison',1961)) db.insert("PERSON",('00001139','Robin','Scholes',1965)) db.insert("PERSON",('00001140','Stuart','Dryburgh',1952)) db.insert("PERSON",('00001141','D.Michael','Horton',1958)) db.insert("PERSON",('00001142','Don','Selwyn',1960)) db.insert("PERSON",('00001143','Antonia','Bird',1963)) db.insert("PERSON",('00001144','Jimmy','McGovern',1949)) db.insert("PERSON",('00001145','Linus','Roache',1964)) db.insert("PERSON",('00001146','Tom','Wilkinson',1959)) db.insert("PERSON",('00001147','George','Faber',1961)) db.insert("PERSON",('00001148','Fred','Tammes',1963)) db.insert("PERSON",('00001149','Susan','Spivey',1957)) db.insert("PERSON",('00001150','Janet','Goddard',1965)) db.insert("PERSON",('00001151','Allan','Moyle',1947)) db.insert("PERSON",('00001152','Christian','Slater',1969)) db.insert("PERSON",('00001153','Samantha','Mathis',1970)) db.insert("PERSON",('00001154','Sandy','Stern',1968)) db.insert("PERSON",('00001155','Walt','Lloyd',1972)) db.insert("PERSON",('00001156','Larry','Bock',1962)) db.insert("PERSON",('00001157','Judith','Holstra',1964)) db.insert("PERSON",('00001158','Jeremiah S.','Chechik',1962)) db.insert("PERSON",('00001159','Barry','Berman',1957)) db.insert("PERSON",('00001160','Johnny','Depp',1963)) db.insert("PERSON",('00001161','Mary','Masterson',1966)) db.insert("PERSON",('00001162','John','Schwartzman',1965)) db.insert("PERSON",('00001163','Carol','Littleton',1957)) db.insert("PERSON",('00001164','Risa','Garcia',1956)) db.insert("PERSON",('00001165','Fred','Schepisi',1939)) db.insert("PERSON",('00001166','John','Guare',1938)) db.insert("PERSON",('00001167','Stockard','Channing',1944)) db.insert("PERSON",('00001168','Will','Smith',1968)) db.insert("PERSON",('00001169','Donald','Sutherland',1935)) db.insert("PERSON",('00001170','Ian','Baker',1947)) db.insert("PERSON",('00001171','Peter','Honess',1951)) db.insert("PERSON",('00001172','Ellen','Chenoweth',1962)) db.insert("PERSON",('00001173','Kaige','Chen',1952)) db.insert("PERSON",('00001174','Lillian','Lee',1954)) db.insert("PERSON",('00001175','Leslie','Cheung',1956)) db.insert("PERSON",('00001176','Fengyi','Zhang',1965)) db.insert("PERSON",('00001177','Feng','Hsu',1948)) db.insert("PERSON",('00001178','Xiaonan','Pei',1966)) db.insert("PERSON",('00001179','Wolfgang','Petersen',1941)) db.insert("PERSON",('00001180','Jeff','Maguire',1948)) db.insert("PERSON",('00001181','Clint','Eastwood',1930)) db.insert("PERSON",('00001182','John','Malkovich',1953)) db.insert("PERSON",('00001183','Rene','Russo',1954)) db.insert("PERSON",('00001184','John','Bailey',1942)) db.insert("PERSON",('00001185','Janet','Hirshenson',1950)) db.insert("PERSON",('00001186','Peter','Jackson',1961)) db.insert("PERSON",('00001187','Melanie','Lynskey',1977)) db.insert("PERSON",('00001188','Kate','Winslet',1975)) db.insert("PERSON",('00001189','Alun','Bollinger',1963)) db.insert("PERSON",('00001190','Jamie','Selkirk',1966)) db.insert("PERSON",('00001191','Steve','James',1957)) db.insert("PERSON",('00001192','William','Gates',1968)) db.insert("PERSON",('00001193','Arthur','Agee',1956)) db.insert("PERSON",('00001194','Peter','Gilbert',1963)) db.insert("PERSON",('00001195','David','Fincher',1962)) db.insert("PERSON",('00001196','Andrew','Walker',1964)) db.insert("PERSON",('00001197','Morgan','Freeman',1937)) db.insert("PERSON",('00001198','Brad','Pitt',1963)) db.insert("PERSON",('00001199','Darius','Khondji',1956)) db.insert("PERSON",('00001200','Richard','Francis-Bruce',1948)) db.insert("PERSON",('00001201','Kerry','Barden',1951)) db.insert("PERSON",('00001202','Danny','Boyle',1956)) db.insert("PERSON",('00001203','John','Hodge',1964)) db.insert("PERSON",('00001204','Kerry','Fox',1966)) db.insert("PERSON",('00001205','Christopher','Eccleston',1964)) db.insert("PERSON",('00001206','Ewan','McGregor',1971)) db.insert("PERSON",('00001207','Andrew','Macdonald',1966)) db.insert("PERSON",('00001208','Brian','Tufano',1968)) db.insert("PERSON",('00001209','Masahiro','Hirakubo',1964)) db.insert("PERSON",('00001210','Lawrence','Kasdan',1949)) db.insert("PERSON",('00001211','Adam','Brooks',1956)) db.insert("PERSON",('00001212','Meg','Ryan',1961)) db.insert("PERSON",('00001213','Kevin','Kline',1947)) db.insert("PERSON",('00001214','Timothy','Hutton',1960)) db.insert("PERSON",('00001215','Owen','Roizman',1936)) db.insert("PERSON",('00001216','Joe','Hutshing',1947)) db.insert("PERSON",('00001217','Timothy','Balme',1964)) db.insert("PERSON",('00001218','Diana','Penalver',1967)) db.insert("PERSON",('00001219','Elizabeth','Moody',1957)) db.insert("PERSON",('00001220','Murray','Milne',1959)) db.insert("PERSON",('00001221','Kevin','Smith',1970)) db.insert("PERSON",('00001222','Marilyn','Ghigliotti',1971)) db.insert("PERSON",('00001223','Lisa','Spoonhauer',1968)) db.insert("PERSON",('00001224','David','Klein',1965)) db.insert("PERSON",('00001225','Ron','Howard',1954)) db.insert("PERSON",('00001226','Jim','Lovell',1928)) db.insert("PERSON",('00001227','Tom','Hanks',1956)) db.insert("PERSON",('00001228','Bill','Paxton',1955)) db.insert("PERSON",('00001229','Kevin','Bacon',1958)) db.insert("PERSON",('00001230','Brian','Grazer',1951)) db.insert("PERSON",('00001231','Dean','Cundey',1945)) db.insert("PERSON",('00001232','Quentin','Tarantino',1963)) db.insert("PERSON",('00001233','Harvey','Keitel',1939)) db.insert("PERSON",('00001234','Tom','Roth',1961)) db.insert("PERSON",('00001235','Michael','Madsen',1958)) db.insert("PERSON",('00001236','Sally','Menke',1962)) db.insert("PERSON",('00001237','Ronnie','Yeskel',1967)) db.insert("PERSON",('00001238','John','Travolta',1954)) db.insert("PERSON",('00001239','Samuel','Jackson',1948)) db.insert("PERSON",('00001240','Lawrence','Bender',1958)) db.insert("PERSON",('00001241','Ang','Lee',1954)) db.insert("PERSON",('00001242','Sihung','Lung',1968)) db.insert("PERSON",('00001243','Yu-Wen','Wang',1969)) db.insert("PERSON",('00001244','Chien-lien','Wu',1968)) db.insert("PERSON",('00001245','Kong','Hsu',1956)) db.insert("PERSON",('00001246','Jong','Lin',1969)) db.insert("PERSON",('00001247','Tim','Squyres',1962)) db.insert("PERSON",('00001248','Robert','Altman',1925)) db.insert("PERSON",('00001249','Andie','MacDowell',1958)) db.insert("PERSON",('00001250','Bruce','Davison',1946)) db.insert("PERSON",('00001251','Jack','Lemmon',1925)) db.insert("PERSON",('00001252','Cary','Brokaw',1951)) db.insert("PERSON",('00001253','Geraldine','Peroni',1954)) db.insert("PERSON",('00001254','Edward','Zwick',1952)) db.insert("PERSON",('00001255','Jim','Harrison',1937)) db.insert("PERSON",('00001256','Anthony','Hopkins',1937)) db.insert("PERSON",('00001257','Aidan','Quinn',1959)) db.insert("PERSON",('00001258','John','Toll',1962)) db.insert("PERSON",('00001259','Steven','Rosenblum',1963)) db.insert("PERSON",('00001260','Mary','Colquhoun',1939)) db.insert("PERSON",('00001261','Oliver','Stone',1946)) db.insert("PERSON",('00001262','Woody','Harrelson',1961)) db.insert("PERSON",('00001263','Juliette','Lewis',1973)) db.insert("PERSON",('00001264','Robert','Richardson',1964)) db.insert("PERSON",('00001265','Brain','Berdan',1958)) db.insert("PERSON",('00001266','Richard','Hornung',1950)) db.insert("PERSON",('00001267','John','Carpenter',1948)) db.insert("PERSON",('00001268','Michael','Luca',1951)) db.insert("PERSON",('00001269','Sam','Neil',1947)) db.insert("PERSON",('00001270','Jurgen','Prochnow',1941)) db.insert("PERSON",('00001271','Julie','Carmen',1960)) db.insert("PERSON",('00001272','Gary','Kibbe',1954)) db.insert("PERSON",('00001273','Edward','Warschilka',1949)) db.insert("PERSON",('00001274','Robert','Zemeckis',1952)) db.insert("PERSON",('00001275','Winston','Groom',1944)) db.insert("PERSON",('00001276','Robin','Wright',1966)) db.insert("PERSON",('00001277','Gary','Sinise',1955)) db.insert("PERSON",('00001278','Wendy','Finerman',1953)) db.insert("PERSON",('00001279','Don','Burgess',1957)) db.insert("PERSON",('00001280','Ellen','Lewis',1961)) db.insert("PERSON",('00001281','Denzel','Washington',1954)) db.insert("PERSON",('00001282','Angela','Bassett',1958)) db.insert("PERSON",('00001283','Barry','Brown',1952)) db.insert("PERSON",('00001284','Kenneth','Branagh',1960)) db.insert("PERSON",('00001285','Scott','Frank',1960)) db.insert("PERSON",('00001286','Emma','Thompson',1959)) db.insert("PERSON",('00001287','Lindsay','Doran',1948)) db.insert("PERSON",('00001288','Matthew','Leonetti',1952)) db.insert("PERSON",('00001289','Peter','Berger',1955)) db.insert("PERSON",('00001290','Gail','Levin',1960)) db.insert("PERSON",('00001291','Steven','Spielberg',1946)) db.insert("PERSON",('00001292','Michael','Crichton',1942)) db.insert("PERSON",('00001293','Laura','Dern',1967)) db.insert("PERSON",('00001294','Jeff','Goldblum',1952)) db.insert("PERSON",('00001295','Kathleen','Kennedy',1947)) db.insert("PERSON",('00001296','Michael','Kahn',1924)) db.insert("PERSON",('00001297','Amy','Heckerling',1954)) db.insert("PERSON",('00001298','Alicia','Silverston',1976)) db.insert("PERSON",('00001299','Stacey','Dash',1966)) db.insert("PERSON",('00001300','Brittany','Murphy',1977)) db.insert("PERSON",('00001301','Scott','Rudin',1958)) db.insert("PERSON",('00001302','Bill','Pope',1961)) db.insert("PERSON",('00001303','Debra','Chiate',1970)) db.insert("PERSON",('00001304','Marcia','Ross',1969)) db.insert("PERSON",('00001305','Richard','Attenborough',1923)) db.insert("PERSON",('00001306','William','Nicholson',1948)) db.insert("PERSON",('00001307','Debra','Winger',1955)) db.insert("PERSON",('00001308','Roddy','Maude-Roxby',1930)) db.insert("PERSON",('00001309','Roger','Pratt',1947)) db.insert("PERSON",('00001310','Lesley','Walker',1956)) db.insert("PERSON",('00001311','Lucy','Boulting',1967)) db.insert("PERSON",('00001312','Isabelle','Huppert',1955)) db.insert("PERSON",('00001313','Elina','Lowensohn',1966)) db.insert("PERSON",('00001314','Steven','Hamilton',1968)) db.insert("PERSON",('00001315','Billy','Hopkins',1965)) db.insert("PERSON",('00001316','Alexandra','Welker',1959)) db.insert("PERSON",('00001317','Martin','Scorsese',1942)) db.insert("PERSON",('00001318','Robert','Niro',1943)) db.insert("PERSON",('00001319','Ray','Liotta',1955)) db.insert("PERSON",('00001320','Joe','Pesci',1943)) db.insert("PERSON",('00001321','Irwin','Winkler',1931)) db.insert("PERSON",('00001322','Michael','Ballhaus',1935)) db.insert("PERSON",('00001323','Thelma','Schoonmaker',1940)) db.insert("PERSON",('00001324','Gillian','Armstrong',1950)) db.insert("PERSON",('00001325','Lousia','Alcott',1832)) db.insert("PERSON",('00001326','Gabriel','Byrne',1950)) db.insert("PERSON",('00001327','Trini','Alvarado',1967)) db.insert("PERSON",('00001328','Denise','DiNovi',1955)) db.insert("PERSON",('00001329','Geoffrey','Simpson',1961)) db.insert("PERSON",('00001330','Nicholas','Beauman',1965)) db.insert("PERSON",('00001331','Jon','Turteltaub',1964)) db.insert("PERSON",('00001332','Daniel','Sullivan',1939)) db.insert("PERSON",('00001333','Sandra','Bullock',1964)) db.insert("PERSON",('00001334','Bill','Pullman',1953)) db.insert("PERSON",('00001335','Roger','Birnbaum',1954)) db.insert("PERSON",('00001336','Bruce','Green',1952)) db.insert("PERSON",('00001337','Cathy','Sandrich',1961))
def insert_data(db): db.insert('RESTRICTION', ('Titanic', 1997, 'M', 'Australia')) db.insert('RESTRICTION', ('Titanic', 1997, 'KT', 'Belgium')) db.insert('RESTRICTION', ('Titanic', 1997, 'TE', 'Chile')) db.insert('RESTRICTION', ('Titanic', 1997, 'K-12', 'Finland')) db.insert('RESTRICTION', ('Titanic', 1997, 'U', 'France')) db.insert('RESTRICTION', ('Titanic', 1997, '12(w)', 'Germany')) db.insert('RESTRICTION', ('Titanic', 1997, 'IIA', 'HongKong')) db.insert('RESTRICTION', ('Titanic', 1997, '12', 'UK')) db.insert('RESTRICTION', ('Shakespeare_in_Love', 1998, 'M', 'Australia')) db.insert('RESTRICTION', ('Shakespeare_in_Love', 1998, 'U', 'France')) db.insert('RESTRICTION', ('Shakespeare_in_Love', 1998, '6(bw)', 'Germany')) db.insert('RESTRICTION', ('Shakespeare_in_Love', 1998, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('The_Cider_House_Rules', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('The_Cider_House_Rules', 1999, 'K-12', 'Finland')) db.insert('RESTRICTION', ('The_Cider_House_Rules', 1999, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('The_Cider_House_Rules', 1999, 'U', 'France')) db.insert('RESTRICTION', ('The_Cider_House_Rules', 1999, '12', 'Germany')) db.insert('RESTRICTION', ('The_Price_of_Milk', 2000, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('The_Price_of_Milk', 2000, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Topless_Women_Talk_About_Their_Lives', 1997, 'M', 'Australia')) db.insert('RESTRICTION', ('The_Piano', 1993, 'M', 'Australia')) db.insert('RESTRICTION', ('The_Piano', 1993, 'R', 'USA')) db.insert('RESTRICTION', ('Mad_Max', 1979, 'R', 'USA')) db.insert('RESTRICTION', ('Mad_Max', 1979, 'R', 'Australia')) db.insert('RESTRICTION', ('Strictly_Ballroom', 1992, 'PG', 'Australia')) db.insert('RESTRICTION', ('Strictly_Ballroom', 1992, 'PG', 'USA')) db.insert('RESTRICTION', ('My_Mother_Frank', 2000, 'M', 'Australia')) db.insert('RESTRICTION', ('My_Mother_Frank', 2000, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('American_Psycho', 2000, 'R18', 'New_Zealand')) db.insert('RESTRICTION', ('American_Psycho', 2000, 'R', 'Australia')) db.insert('RESTRICTION', ('American_Psycho', 2000, 'R', 'USA')) db.insert('RESTRICTION', ('Scream_2', 1997, 'R', 'USA')) db.insert('RESTRICTION', ('Scream_3', 2000, 'R', 'USA')) db.insert('RESTRICTION', ('Scream_3', 2000, 'R18', 'New_Zealand')) db.insert('RESTRICTION', ('Traffic', 2000, 'R', 'USA')) db.insert('RESTRICTION', ('Traffic', 2000, 'M', 'Australia')) db.insert('RESTRICTION', ('Psycho', 1960, 'M', 'Australia')) db.insert('RESTRICTION', ('Psycho', 1960, 'R', 'USA')) db.insert('RESTRICTION', ('I_Know_What_You_Did_Last_Summer', 1997, 'M', 'Australia')) db.insert('RESTRICTION', ('I_Know_What_You_Did_Last_Summer', 1997, 'R', 'USA')) db.insert('RESTRICTION', ('Cruel_Intentions', 1999, 'R', 'USA')) db.insert('RESTRICTION', ('Cruel_Intentions', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('Wild_Things', 1998, 'M', 'Australia')) db.insert('RESTRICTION', ('Wild_Things', 1998, 'R', 'USA')) db.insert('RESTRICTION', ('Alien', 1979, 'M', 'Australia')) db.insert('RESTRICTION', ('Alien', 1979, 'R', 'USA')) db.insert('RESTRICTION', ('Aliens', 1986, 'M', 'Australia')) db.insert('RESTRICTION', ('Aliens', 1986, 'R', 'USA')) db.insert('RESTRICTION', ('Alien_3', 1992, 'M', 'Australia')) db.insert('RESTRICTION', ('Alien_3', 1992, 'R', 'USA')) db.insert('RESTRICTION', ('Alien:_Resurrection', 1997, 'M', 'Australia')) db.insert('RESTRICTION', ('Alien:_Resurrection', 1997, 'R', 'USA')) db.insert('RESTRICTION', ('Gladiator', 2000, 'M', 'Australia')) db.insert('RESTRICTION', ('Gladiator', 2000, 'R', 'USA')) db.insert('RESTRICTION', ('The_World_Is_Not_Enough', 1999, 'PG-13', 'USA')) db.insert('RESTRICTION', ('The_World_Is_Not_Enough', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('The_World_Is_Not_Enough', 1999, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('Heat', 1995, 'R', 'USA')) db.insert('RESTRICTION', ('Heat', 1995, 'M', 'Australia')) db.insert('RESTRICTION', ('American_History_X', 1998, 'R18', 'New_Zealand')) db.insert('RESTRICTION', ('American_History_X', 1998, 'M', 'Australia')) db.insert('RESTRICTION', ('American_History_X', 1998, 'R', 'USA')) db.insert('RESTRICTION', ('Fight_Club', 1999, 'R', 'USA')) db.insert('RESTRICTION', ('Fight_Club', 1999, 'R18', 'New_Zealand')) db.insert('RESTRICTION', ('Fight_Club', 1999, 'R', 'Australia')) db.insert('RESTRICTION', ('Out_of_Sight', 1998, 'M', 'Australia')) db.insert('RESTRICTION', ('Out_of_Sight', 1998, 'R', 'USA')) db.insert('RESTRICTION', ('Entrapment', 1999, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Entrapment', 1999, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('Entrapment', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('The_Insider', 1999, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('The_Insider', 1999, 'R', 'USA')) db.insert('RESTRICTION', ('The_Blair_Witch_Project', 1999, 'R', 'USA')) db.insert('RESTRICTION', ('The_Blair_Witch_Project', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('Lethal_Weapon_4', 1998, 'M', 'Australia')) db.insert('RESTRICTION', ('Lethal_Weapon_4', 1998, 'R', 'USA')) db.insert('RESTRICTION', ('The_Fifth_Element', 1997, 'PG-13', 'USA')) db.insert('RESTRICTION', ('The_Fifth_Element', 1997, 'PG', 'Australia')) db.insert('RESTRICTION', ('The_Sixth_Sense', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('The_Sixth_Sense', 1999, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('The_Sixth_Sense', 1999, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Unbreakable', 2000, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Unbreakable', 2000, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('Unbreakable', 2000, 'M', 'Australia')) db.insert('RESTRICTION', ('Armageddon', 1998, 'M', 'Australia')) db.insert('RESTRICTION', ('Armageddon', 1998, 'PG-13', 'USA')) db.insert('RESTRICTION', ('The_Kid', 2000, 'PG', 'Australia')) db.insert('RESTRICTION', ('The_Kid', 2000, 'PG', 'USA')) db.insert('RESTRICTION', ('The_Kid', 2000, 'PG', 'New_Zealand')) db.insert('RESTRICTION', ('Twelve_Monkeys', 1995, 'M', 'Australia')) db.insert('RESTRICTION', ('Twelve_Monkeys', 1995, 'R', 'USA')) db.insert('RESTRICTION', ('Affliction', 1997, 'R', 'USA')) db.insert('RESTRICTION', ('Affliction', 1997, 'M', 'Australia')) db.insert('RESTRICTION', ('American_Beauty', 1999, 'R', 'USA')) db.insert('RESTRICTION', ('American_Beauty', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('American_Beauty', 1999, 'R18', 'New_Zealand')) db.insert('RESTRICTION', ('Boys_Dont_Cry', 1999, 'R18', 'New_Zealand')) db.insert('RESTRICTION', ('Boys_Dont_Cry', 1999, 'R', 'USA')) db.insert('RESTRICTION', ('Boys_Dont_Cry', 1999, 'R', 'Australia')) db.insert('RESTRICTION', ('Gandhi', 1982, 'PG', 'USA')) db.insert('RESTRICTION', ('Hanging_Up', 2000, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Hanging_Up', 2000, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('Life_is_Beautiful', 1997, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('Life_is_Beautiful', 1997, 'M', 'Australia')) db.insert('RESTRICTION', ('Life_is_Beautiful', 1997, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Proof_of_Life', 2000, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('Proof_of_Life', 2000, 'M', 'Australia')) db.insert('RESTRICTION', ('Proof_of_Life', 2000, 'R', 'USA')) db.insert('RESTRICTION', ('Saving_Private_Ryan', 1998, 'R', 'USA')) db.insert('RESTRICTION', ('Saving_Private_Ryan', 1998, 'M', 'Australia')) db.insert('RESTRICTION', ('The_Birds', 1963, 'PG', 'Australia')) db.insert('RESTRICTION', ('The_Birds', 1963, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Rear_Window', 1954, 'PG', 'Australia')) db.insert('RESTRICTION', ('Rear_Window', 1954, 'PG', 'USA')) db.insert('RESTRICTION', ('The_Matrix', 1999, 'M', 'New_Zealand')) db.insert('RESTRICTION', ('The_Matrix', 1999, 'M', 'Australia')) db.insert('RESTRICTION', ('The_Matrix', 1999, 'R', 'USA')) db.insert('RESTRICTION', ('Toy_Story', 1995, 'G', 'Australia')) db.insert('RESTRICTION', ('Toy_Story', 1995, 'G', 'USA')) db.insert('RESTRICTION', ('You_have_Got_Mail', 1998, 'PG', 'USA')) db.insert('RESTRICTION', ('Rear_Window', 1954, '16', 'Germany')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, '13', 'Argentina')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, '14', 'Chile')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, 'K-12', 'Finland')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, 'U', 'France')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, '12', 'Germany')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, '12', 'Portugal')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, 'M', 'Portugal')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, 'T', 'Spain')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, '11', 'Sweden')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, '15', 'UK')) db.insert('RESTRICTION', ('Bullets_Over_Broadway', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Tombstone', 1993, 'M', 'Australia')) db.insert('RESTRICTION', ('Tombstone', 1993, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Tombstone', 1993, '16', 'Germany')) db.insert('RESTRICTION', ('Tombstone', 1993, '18', 'Spain')) db.insert('RESTRICTION', ('Tombstone', 1993, '15', 'Sweden')) db.insert('RESTRICTION', ('Tombstone', 1993, '15', 'UK')) db.insert('RESTRICTION', ('Tombstone', 1993, 'R', 'USA')) db.insert('RESTRICTION', ('Alice', 1990, '13', 'Argentina')) db.insert('RESTRICTION', ('Alice', 1990, '14', 'Chile')) db.insert('RESTRICTION', ('Alice', 1990, 'S', 'Finland')) db.insert('RESTRICTION', ('Alice', 1990, 'U', 'France')) db.insert('RESTRICTION', ('Alice', 1990, '12', 'Germany')) db.insert('RESTRICTION', ('Alice', 1990, 'Btl', 'Sweden')) db.insert('RESTRICTION', ('Alice', 1990, '12', 'UK')) db.insert('RESTRICTION', ('Alice', 1990, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Mermaids', 1990, '13', 'Argentina')) db.insert('RESTRICTION', ('Mermaids', 1990, '14', 'Chile')) db.insert('RESTRICTION', ('Mermaids', 1990, 'K-12', 'Finland')) db.insert('RESTRICTION', ('Mermaids', 1990, 'U', 'France')) db.insert('RESTRICTION', ('Mermaids', 1990, '12', 'Germany')) db.insert('RESTRICTION', ('Mermaids', 1990, '11', 'Sweden')) db.insert('RESTRICTION', ('Mermaids', 1990, '15', 'UK')) db.insert('RESTRICTION', ('Mermaids', 1990, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Exotica', 1994, '18', 'Chile')) db.insert('RESTRICTION', ('Exotica', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Exotica', 1994, 'IIB', 'HongKong')) db.insert('RESTRICTION', ('Exotica', 1994, 'M', 'Portugal')) db.insert('RESTRICTION', ('Exotica', 1994, '16', 'Portugal')) db.insert('RESTRICTION', ('Exotica', 1994, '13', 'Spain')) db.insert('RESTRICTION', ('Exotica', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Exotica', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Exotica', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Red_Rock_West', 1992, '16', 'Germany')) db.insert('RESTRICTION', ('Red_Rock_West', 1992, 'T', 'Spain')) db.insert('RESTRICTION', ('Red_Rock_West', 1992, '15', 'UK')) db.insert('RESTRICTION', ('Red_Rock_West', 1992, 'R', 'USA')) db.insert('RESTRICTION', ('Chaplin', 1992, '13', 'Argentina')) db.insert('RESTRICTION', ('Chaplin', 1992, '14', 'Chile')) db.insert('RESTRICTION', ('Chaplin', 1992, 'S', 'Finland')) db.insert('RESTRICTION', ('Chaplin', 1992, '6', 'Germany')) db.insert('RESTRICTION', ('Chaplin', 1992, 'T', 'Spain')) db.insert('RESTRICTION', ('Chaplin', 1992, 'Btl', 'Sweden')) db.insert('RESTRICTION', ('Chaplin', 1992, '15', 'UK')) db.insert('RESTRICTION', ('Chaplin', 1992, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Fearless', 1993, '13', 'Argentina')) db.insert('RESTRICTION', ('Fearless', 1993, 'M', 'Australia')) db.insert('RESTRICTION', ('Fearless', 1993, 'KT', 'Belgium')) db.insert('RESTRICTION', ('Fearless', 1993, '14', 'Chile')) db.insert('RESTRICTION', ('Fearless', 1993, 'K-14', 'Finland')) db.insert('RESTRICTION', ('Fearless', 1993, '12', 'Germany')) db.insert('RESTRICTION', ('Fearless', 1993, '12', 'Netherlands')) db.insert('RESTRICTION', ('Fearless', 1993, '13', 'Spain')) db.insert('RESTRICTION', ('Fearless', 1993, '15', 'Sweden')) db.insert('RESTRICTION', ('Fearless', 1993, '15', 'UK')) db.insert('RESTRICTION', ('Fearless', 1993, 'R', 'USA')) db.insert('RESTRICTION', ('Threesome', 1994, 'MA', 'Australia')) db.insert('RESTRICTION', ('Threesome', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Threesome', 1994, '16', 'Germany')) db.insert('RESTRICTION', ('Threesome', 1994, 'M', 'Portugal')) db.insert('RESTRICTION', ('Threesome', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Threesome', 1994, '11', 'Sweden')) db.insert('RESTRICTION', ('Threesome', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Threesome', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Jungle_Fever', 1991, 'K-14', 'Finland')) db.insert('RESTRICTION', ('Jungle_Fever', 1991, '16', 'Germany')) db.insert('RESTRICTION', ('Jungle_Fever', 1991, '18', 'Spain')) db.insert('RESTRICTION', ('Jungle_Fever', 1991, '15', 'Sweden')) db.insert('RESTRICTION', ('Jungle_Fever', 1991, '18', 'UK')) db.insert('RESTRICTION', ('Jungle_Fever', 1991, 'R', 'USA')) db.insert('RESTRICTION', ('Internal_Affairs', 1990, '18', 'Argentina')) db.insert('RESTRICTION', ('Internal_Affairs', 1990, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Internal_Affairs', 1990, '18', 'Germany')) db.insert('RESTRICTION', ('Internal_Affairs', 1990, '15', 'Sweden')) db.insert('RESTRICTION', ('Internal_Affairs', 1990, '18', 'UK')) db.insert('RESTRICTION', ('Internal_Affairs', 1990, 'R', 'USA')) db.insert('RESTRICTION', ('Single_White_Female', 1992, '18', 'Argentina')) db.insert('RESTRICTION', ('Single_White_Female', 1992, 'M', 'Australia')) db.insert('RESTRICTION', ('Single_White_Female', 1992, '18', 'Chile')) db.insert('RESTRICTION', ('Single_White_Female', 1992, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Single_White_Female', 1992, '16', 'Germany')) db.insert('RESTRICTION', ('Single_White_Female', 1992, '18', 'Spain')) db.insert('RESTRICTION', ('Single_White_Female', 1992, '15', 'Sweden')) db.insert('RESTRICTION', ('Single_White_Female', 1992, '18', 'UK')) db.insert('RESTRICTION', ('Single_White_Female', 1992, 'R', 'USA')) db.insert('RESTRICTION', ('Trust', 1990, 'K-14', 'Finland')) db.insert('RESTRICTION', ('Trust', 1990, '15', 'Sweden')) db.insert('RESTRICTION', ('Trust', 1990, 'R', 'USA')) db.insert('RESTRICTION', ('Ju_Dou', 1990, '18', 'Chile')) db.insert('RESTRICTION', ('Ju_Dou', 1990, 'K-12', 'Finland')) db.insert('RESTRICTION', ('Ju_Dou', 1990, '15', 'Sweden')) db.insert('RESTRICTION', ('Ju_Dou', 1990, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Dahong_Denglong_Gaogao_Gua', 1991, '13', 'Argentina')) db.insert('RESTRICTION', ('Dahong_Denglong_Gaogao_Gua', 1991, '14', 'Chile')) db.insert('RESTRICTION', ('Dahong_Denglong_Gaogao_Gua', 1991, '12', 'Germany')) db.insert('RESTRICTION', ('Dahong_Denglong_Gaogao_Gua', 1991, '13', 'Spain')) db.insert('RESTRICTION', ('Dahong_Denglong_Gaogao_Gua', 1991, '11', 'Sweden')) db.insert('RESTRICTION', ('Dahong_Denglong_Gaogao_Gua', 1991, 'PG', 'USA')) db.insert('RESTRICTION', ('Cyrano_de_Bergerac', 1990, 'TE', 'Chile')) db.insert('RESTRICTION', ('Cyrano_de_Bergerac', 1990, 'U', 'France')) db.insert('RESTRICTION', ('Cyrano_de_Bergerac', 1990, '11', 'Sweden')) db.insert('RESTRICTION', ('Cyrano_de_Bergerac', 1990, 'PG', 'USA')) db.insert('RESTRICTION', ('Manhattan_Murder_Mystery', 1993, '13', 'Argentina')) db.insert('RESTRICTION', ('Manhattan_Murder_Mystery', 1993, 'T', 'Spain')) db.insert('RESTRICTION', ('Manhattan_Murder_Mystery', 1993, '11', 'Sweden')) db.insert('RESTRICTION', ('Manhattan_Murder_Mystery', 1993, 'PG', 'USA')) db.insert('RESTRICTION', ('El_Mariachi', 1992, 'M', 'Australia')) db.insert('RESTRICTION', ('El_Mariachi', 1992, 'K-16', 'Finland')) db.insert('RESTRICTION', ('El_Mariachi', 1992, '18', 'Germany')) db.insert('RESTRICTION', ('El_Mariachi', 1992, '18', 'Spain')) db.insert('RESTRICTION', ('El_Mariachi', 1992, '15', 'UK')) db.insert('RESTRICTION', ('El_Mariachi', 1992, 'R', 'USA')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, 'MA', 'Australia')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, '18', 'Chile')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, '16', 'Germany')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, '16', 'Portugal')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Once_Were_Warriors', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Priest', 1994, 'MA', 'Australia')) db.insert('RESTRICTION', ('Priest', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Priest', 1994, '12(w)', 'Germany')) db.insert('RESTRICTION', ('Priest', 1994, '16', 'Portugal')) db.insert('RESTRICTION', ('Priest', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Priest', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Priest', 1994, '15', 'UK')) db.insert('RESTRICTION', ('Priest', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Pump_Up_the_Volum', 1990, 'M', 'Australia')) db.insert('RESTRICTION', ('Pump_Up_the_Volum', 1990, '12', 'Germany')) db.insert('RESTRICTION', ('Pump_Up_the_Volum', 1990, '15', 'UK')) db.insert('RESTRICTION', ('Pump_Up_the_Volum', 1990, 'R', 'USA')) db.insert('RESTRICTION', ('Benny_and_Joon', 1993, 'U', 'France')) db.insert('RESTRICTION', ('Benny_and_Joon', 1993, '12', 'Germany')) db.insert('RESTRICTION', ('Benny_and_Joon', 1993, 'T', 'Spain')) db.insert('RESTRICTION', ('Benny_and_Joon', 1993, '11', 'Sweden')) db.insert('RESTRICTION', ('Benny_and_Joon', 1993, '12', 'UK')) db.insert('RESTRICTION', ('Benny_and_Joon', 1993, 'PG', 'USA')) db.insert('RESTRICTION', ('Six_Degrees_of_Separation', 1993, '13', 'Argentina')) db.insert('RESTRICTION', ('Six_Degrees_of_Separation', 1993, '13', 'Spain')) db.insert('RESTRICTION', ('Six_Degrees_of_Separation', 1993, '15', 'UK')) db.insert('RESTRICTION', ('Six_Degrees_of_Separation', 1993, 'R', 'USA')) db.insert('RESTRICTION', ('Bawang_Bie_Ji', 1993, '18', 'Chile')) db.insert('RESTRICTION', ('Bawang_Bie_Ji', 1993, 'K-14', 'Finland')) db.insert('RESTRICTION', ('Bawang_Bie_Ji', 1993, '12', 'Germany')) db.insert('RESTRICTION', ('Bawang_Bie_Ji', 1993, '18', 'Spain')) db.insert('RESTRICTION', ('Bawang_Bie_Ji', 1993, '15', 'Sweden')) db.insert('RESTRICTION', ('Bawang_Bie_Ji', 1993, '15', 'UK')) db.insert('RESTRICTION', ('Bawang_Bie_Ji', 1993, 'R', 'USA')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, '13', 'Argentina')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, 'M', 'Australia')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, '14', 'Chile')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, 'K-16', 'Finland')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, '16', 'Germany')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, '18', 'Spain')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, '15', 'Sweden')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, '15', 'UK')) db.insert('RESTRICTION', ('In_the_Line_of_Fire', 1993, 'R', 'USA')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, 'M', 'Australia')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, '18', 'Chile')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, '16', 'Germany')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, '16', 'Portugal')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Heavenly_Creatures', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Hoop_Dreams', 1994, 'M', 'Australia')) db.insert('RESTRICTION', ('Hoop_Dreams', 1994, '15', 'UK')) db.insert('RESTRICTION', ('Hoop_Dreams', 1994, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Seven', 1995, 'R', 'Australia')) db.insert('RESTRICTION', ('Seven', 1995, '18', 'Chile')) db.insert('RESTRICTION', ('Seven', 1995, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Seven', 1995, '16', 'Germany')) db.insert('RESTRICTION', ('Seven', 1995, 'IIB', 'HongKong')) db.insert('RESTRICTION', ('Seven', 1995, '16', 'Portugal')) db.insert('RESTRICTION', ('Seven', 1995, '18', 'Spain')) db.insert('RESTRICTION', ('Seven', 1995, '15', 'Sweden')) db.insert('RESTRICTION', ('Seven', 1995, '18', 'UK')) db.insert('RESTRICTION', ('Seven', 1995, 'R', 'USA')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, 'MA', 'Australia')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, '16', 'Germany')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, 'M', 'Portugal')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Shallow_Grave', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('French_Kiss', 1995, 'PG', 'Australia')) db.insert('RESTRICTION', ('French_Kiss', 1995, 'TE', 'Chile')) db.insert('RESTRICTION', ('French_Kiss', 1995, 'U', 'France')) db.insert('RESTRICTION', ('French_Kiss', 1995, '6(bw)', 'Germany')) db.insert('RESTRICTION', ('French_Kiss', 1995, '12', 'Portugal')) db.insert('RESTRICTION', ('French_Kiss', 1995, 'T', 'Spain')) db.insert('RESTRICTION', ('French_Kiss', 1995, '12', 'UK')) db.insert('RESTRICTION', ('French_Kiss', 1995, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Braindead', 1992, '18', 'Argentina')) db.insert('RESTRICTION', ('Braindead', 1992, 'R', 'Australia')) db.insert('RESTRICTION', ('Braindead', 1992, '18', 'Chile')) db.insert('RESTRICTION', ('Braindead', 1992, '18', 'Germany')) db.insert('RESTRICTION', ('Braindead', 1992, '16', 'Portugal')) db.insert('RESTRICTION', ('Braindead', 1992, '18', 'Spain')) db.insert('RESTRICTION', ('Braindead', 1992, '15', 'Sweden')) db.insert('RESTRICTION', ('Braindead', 1992, '18', 'UK')) db.insert('RESTRICTION', ('Clerks', 1994, 'R', 'Australia')) db.insert('RESTRICTION', ('Clerks', 1994, 'K-12', 'Finland')) db.insert('RESTRICTION', ('Clerks', 1994, '12', 'Germany')) db.insert('RESTRICTION', ('Clerks', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Clerks', 1994, 'Btl', 'Sweden')) db.insert('RESTRICTION', ('Clerks', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Clerks', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Apollo_13', 1995, '13', 'Argentina')) db.insert('RESTRICTION', ('Apollo_13', 1995, 'PG', 'Australia')) db.insert('RESTRICTION', ('Apollo_13', 1995, 'KT', 'Belgium')) db.insert('RESTRICTION', ('Apollo_13', 1995, '14', 'Chile')) db.insert('RESTRICTION', ('Apollo_13', 1995, 'U', 'France')) db.insert('RESTRICTION', ('Apollo_13', 1995, '6(bw)', 'Germany')) db.insert('RESTRICTION', ('Apollo_13', 1995, '12', 'Portugal')) db.insert('RESTRICTION', ('Apollo_13', 1995, 'T', 'Spain')) db.insert('RESTRICTION', ('Apollo_13', 1995, 'PG', 'USA')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, 'R', 'Australia')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, '18', 'Germany')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, 'R18', 'New_Zealand')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, '16', 'Portugal')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, '18', 'Spain')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, '15', 'Sweden')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, '18', 'UK')) db.insert('RESTRICTION', ('Reservoir_Dogs', 1992, 'R', 'USA')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, '18', 'Argentina')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, 'R', 'Australia')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, '18', 'Chile')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, '16', 'Germany')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, '16', 'Portugal')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Pulp_Fiction', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Yinshi_Nan_Nu', 1994, '13', 'Argentina')) db.insert('RESTRICTION', ('Yinshi_Nan_Nu', 1994, '14', 'Chile')) db.insert('RESTRICTION', ('Yinshi_Nan_Nu', 1994, 'S', 'Finland')) db.insert('RESTRICTION', ('Yinshi_Nan_Nu', 1994, '6', 'Germany')) db.insert('RESTRICTION', ('Yinshi_Nan_Nu', 1994, '12', 'Portugal')) db.insert('RESTRICTION', ('Yinshi_Nan_Nu', 1994, 'T', 'Spain')) db.insert('RESTRICTION', ('Short_Cuts', 1993, 'MA', 'Australia')) db.insert('RESTRICTION', ('Short_Cuts', 1993, 'K-14', 'Finland')) db.insert('RESTRICTION', ('Short_Cuts', 1993, 'U', 'France')) db.insert('RESTRICTION', ('Short_Cuts', 1993, '16', 'Germany')) db.insert('RESTRICTION', ('Short_Cuts', 1993, '18', 'Spain')) db.insert('RESTRICTION', ('Short_Cuts', 1993, '15', 'Sweden')) db.insert('RESTRICTION', ('Short_Cuts', 1993, '18', 'UK')) db.insert('RESTRICTION', ('Short_Cuts', 1993, 'R', 'USA')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, '13', 'Argentina')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, 'M', 'Australia')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, '14', 'Chile')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, '12(w)', 'Germany')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, '12', 'Netherlands')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, '13', 'Spain')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, '15', 'UK')) db.insert('RESTRICTION', ('Legends_of_the_Fall', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, '18', 'Argentina')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, 'R', 'Australia')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, '18', 'Chile')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, '18', 'Germany')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, '12', 'Portugal')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, '18', 'UK')) db.insert('RESTRICTION', ('Natural_Born_Killers', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('In_the_Mouth_of_Madness', 1995, 'M', 'Australia')) db.insert('RESTRICTION', ('In_the_Mouth_of_Madness', 1995, '16', 'Germany')) db.insert('RESTRICTION', ('In_the_Mouth_of_Madness', 1995, '16', 'Portugal')) db.insert('RESTRICTION', ('In_the_Mouth_of_Madness', 1995, '18', 'Spain')) db.insert('RESTRICTION', ('In_the_Mouth_of_Madness', 1995, '18', 'UK')) db.insert('RESTRICTION', ('In_the_Mouth_of_Madness', 1995, 'R', 'USA')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, '13', 'Argentina')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, 'PG', 'Australia')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, '14', 'Chile')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, 'K-12', 'Finland')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, '12', 'Germany')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, '12', 'Netherlands')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, 'T', 'Spain')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, '11', 'Sweden')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, '12', 'UK')) db.insert('RESTRICTION', ('Forrest_Gump', 1994, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Malcolm_X', 1992, '13', 'Argentina')) db.insert('RESTRICTION', ('Malcolm_X', 1992, 'M', 'Australia')) db.insert('RESTRICTION', ('Malcolm_X', 1992, '14', 'Chile')) db.insert('RESTRICTION', ('Malcolm_X', 1992, 'K-14', 'Finland')) db.insert('RESTRICTION', ('Malcolm_X', 1992, '12', 'Germany')) db.insert('RESTRICTION', ('Malcolm_X', 1992, 'T', 'Spain')) db.insert('RESTRICTION', ('Malcolm_X', 1992, '15', 'Sweden')) db.insert('RESTRICTION', ('Malcolm_X', 1992, '15', 'UK')) db.insert('RESTRICTION', ('Malcolm_X', 1992, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Dead_Again', 1991, 'M', 'Australia')) db.insert('RESTRICTION', ('Dead_Again', 1991, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Dead_Again', 1991, '16', 'Germany')) db.insert('RESTRICTION', ('Dead_Again', 1991, '13', 'Spain')) db.insert('RESTRICTION', ('Dead_Again', 1991, '15', 'Sweden')) db.insert('RESTRICTION', ('Dead_Again', 1991, '15', 'UK')) db.insert('RESTRICTION', ('Dead_Again', 1991, 'R', 'USA')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, '13', 'Argentina')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, 'PG', 'Australia')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, 'TE', 'Chile')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, 'U', 'France')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, '12', 'Germany')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, '13', 'Spain')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, '11', 'Sweden')) db.insert('RESTRICTION', ('Jurassic_Park', 1993, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Clueless', 1995, '13', 'Argentina')) db.insert('RESTRICTION', ('Clueless', 1995, 'M', 'Australia')) db.insert('RESTRICTION', ('Clueless', 1995, 'KT', 'Belgium')) db.insert('RESTRICTION', ('Clueless', 1995, '14', 'Chile')) db.insert('RESTRICTION', ('Clueless', 1995, 'S', 'Finland')) db.insert('RESTRICTION', ('Clueless', 1995, 'U', 'France')) db.insert('RESTRICTION', ('Clueless', 1995, '12', 'Portugal')) db.insert('RESTRICTION', ('Clueless', 1995, 'T', 'Spain')) db.insert('RESTRICTION', ('Clueless', 1995, '11', 'Sweden')) db.insert('RESTRICTION', ('Clueless', 1995, '12', 'UK')) db.insert('RESTRICTION', ('Clueless', 1995, 'PG-13', 'USA')) db.insert('RESTRICTION', ('Shadowlands', 1993, '13', 'Argentina')) db.insert('RESTRICTION', ('Shadowlands', 1993, '14', 'Chile')) db.insert('RESTRICTION', ('Shadowlands', 1993, 'S', 'Finland')) db.insert('RESTRICTION', ('Shadowlands', 1993, 'PG', 'USA')) db.insert('RESTRICTION', ('Amateur', 1994, 'K-16', 'Finland')) db.insert('RESTRICTION', ('Amateur', 1994, '18', 'Spain')) db.insert('RESTRICTION', ('Amateur', 1994, '15', 'Sweden')) db.insert('RESTRICTION', ('Amateur', 1994, '15', 'UK')) db.insert('RESTRICTION', ('Amateur', 1994, 'R', 'USA')) db.insert('RESTRICTION', ('GoodFellas', 1990, '18', 'Argentina')) db.insert('RESTRICTION', ('GoodFellas', 1990, 'R', 'Australia')) db.insert('RESTRICTION', ('GoodFellas', 1990, '18', 'Chile')) db.insert('RESTRICTION', ('GoodFellas', 1990, 'K-16', 'Finland')) db.insert('RESTRICTION', ('GoodFellas', 1990, '16', 'Germany')) db.insert('RESTRICTION', ('GoodFellas', 1990, '16', 'Portugal')) db.insert('RESTRICTION', ('GoodFellas', 1990, '15', 'Sweden')) db.insert('RESTRICTION', ('GoodFellas', 1990, '18', 'UK')) db.insert('RESTRICTION', ('GoodFellas', 1990, 'R', 'USA')) db.insert('RESTRICTION', ('Little_Women', 1994, 'G', 'Australia')) db.insert('RESTRICTION', ('Little_Women', 1994, 'TE', 'Chile')) db.insert('RESTRICTION', ('Little_Women', 1994, 'S', 'Finland')) db.insert('RESTRICTION', ('Little_Women', 1994, 'T', 'Spain')) db.insert('RESTRICTION', ('Little_Women', 1994, 'Btl', 'Sweden')) db.insert('RESTRICTION', ('Little_Women', 1994, 'PG', 'USA')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, 'PG', 'Australia')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, 'TE', 'Chile')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, 'S', 'Finland')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, 'U', 'France')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, '6(bw)', 'Germany')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, '12', 'Portugal')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, 'T', 'Spain')) db.insert('RESTRICTION', ('While_You_Were_Sleeping', 1995, 'PG', 'USA')) db.insert('ROLE', ('00000002', 'Titanic', 1997, 'Jack Dawson', '')) db.insert('ROLE', ('00001188', 'Titanic', 1997, 'Rose DeWitt Bukater', 'Heavenly Creatures')) db.insert('ROLE', ('00000004', 'Titanic', 1997, 'Cal Hockley', '')) db.insert('ROLE', ('00000005', 'Titanic', 1997, 'Molly Brown', '')) db.insert('ROLE', ('00000023', 'Shakespeare in Love', 1998, 'Philip Henslowe', '')) db.insert('ROLE', ('00001146', 'Shakespeare in Love', 1998, 'Hugh Fennyman', 'Priest')) db.insert('ROLE', ('00000025', 'Shakespeare in Love', 1998, 'Lambert', '')) db.insert('ROLE', ('00000026', 'Shakespeare in Love', 1998, 'Queen Elizabeth', '')) db.insert('ROLE', ('00000043', 'The Cider House Rules', 1999, 'Olive Worthington', '')) db.insert('ROLE', ('00000044', 'The Cider House Rules', 1999, 'Homer Wells', '')) db.insert('ROLE', ('00000045', 'The Cider House Rules', 1999, 'Candy Kendall', '')) db.insert('ROLE', ('00000046', 'The Cider House Rules', 1999, 'Mr.Rose', '')) db.insert('ROLE', ('00000047', 'The Cider House Rules', 1999, 'Dr Wilbur Larch', '')) db.insert('ROLE', ('00000063', 'Gandhi', 1982, 'Mahatma Gandhi', '')) db.insert('ROLE', ('00000064', 'Gandhi', 1982, 'Margaret Bourke', '')) db.insert('ROLE', ('00000065', 'Gandhi', 1982, 'Pandit Nehru', '')) db.insert('ROLE', ('00000066', 'Gandhi', 1982, 'General Dyer', '')) db.insert('ROLE', ('00000083', 'American Beauty', 1999, 'Lester Burnham', '')) db.insert('ROLE', ('00000084', 'American Beauty', 1999, 'Carolyn Burnham', '')) db.insert('ROLE', ('00000085', 'American Beauty', 1999, 'Jane Burnham', '')) db.insert('ROLE', ('00000086', 'American Beauty', 1999, 'Ricky Fitts', '')) db.insert('ROLE', ('00000103', 'Affliction', 1997, 'Wade Whitehouse', '')) db.insert('ROLE', ('00000104', 'Affliction', 1997, 'Jill', '')) db.insert('ROLE', ('00000105', 'Affliction', 1997, 'Gordon LaRiviere', '')) db.insert('ROLE', ('00000106', 'Affliction', 1997, 'Jack Hewitt', '')) db.insert('ROLE', ('00000107', 'Affliction', 1997, 'Glen Whitehouse', '')) db.insert('ROLE', ('00000121', 'Life is Beautiful', 1997, 'Guido Orefice', '')) db.insert('ROLE', ('00000123', 'Life is Beautiful', 1997, 'Dora', '')) db.insert('ROLE', ('00000143', 'Boys Dont Cry', 1999, 'Brandon Teena', '')) db.insert('ROLE', ('00000144', 'Boys Dont Cry', 1999, 'Lana Tisdel', '')) db.insert('ROLE', ('00000145', 'Boys Dont Cry', 1999, 'John Lotter', '')) db.insert('ROLE', ('00000146', 'Boys Dont Cry', 1999, 'Marvin Thomas', '')) db.insert('ROLE', ('00001227', 'Saving Private Ryan', 1998, 'Captain John', 'Toy Story')) db.insert('ROLE', ('00000164', 'Saving Private Ryan', 1998, 'Sergeant Michael', '')) db.insert('ROLE', ('00000165', 'Saving Private Ryan', 1998, 'Richard Reiben', '')) db.insert('ROLE', ('00000166', 'Saving Private Ryan', 1998, 'Jackson', '')) db.insert('ROLE', ('00000181', 'The Birds', 1963, 'Man in pet shop', '')) db.insert('ROLE', ('00000184', 'The Birds', 1963, 'Mitch Brenner', '')) db.insert('ROLE', ('00000185', 'The Birds', 1963, 'Lydia Brenner', '')) db.insert('ROLE', ('00000186', 'The Birds', 1963, 'Annie Hayworth', '')) db.insert('ROLE', ('00000187', 'The Birds', 1963, 'Melanie Daniels', '')) db.insert('ROLE', ('00001001', 'Rear Window', 1954, 'L.B. Jeff Jefferies', '')) db.insert('ROLE', ('00001002', 'Rear Window', 1954, 'Lisa Carol Fremont', '')) db.insert('ROLE', ('00001003', 'Rear Window', 1954, 'Lars Thorwald', '')) db.insert('ROLE', ('00000181', 'Rear Window', 1954, 'Clock-Winding Man', 'Psycho, Birds')) db.insert('ROLE', ('00000203', 'The Matrix', 1999, 'Thomas', '')) db.insert('ROLE', ('00000204', 'The Matrix', 1999, 'Morpheus', '')) db.insert('ROLE', ('00001227', 'Toy Story', 1995, 'Woody', 'Saving Private Ryan')) db.insert('ROLE', ('00000942', 'Toy Story', 1995, 'Buzz Lightyear', '')) db.insert('ROLE', ('00000943', 'Toy Story', 1995, 'Bo Peep', '')) db.insert('ROLE', ('00001212', 'Proof of Life', 2000, 'Alice Bowman', 'Hanging Up')) db.insert('ROLE', ('00000622', 'Proof of Life', 2000, 'Terry Thorne', 'Gladiator')) db.insert('ROLE', ('00000963', 'Proof of Life', 2000, 'Peter Bowman', '')) db.insert('ROLE', ('00001212', 'Hanging Up', 2000, 'Eve', 'Proof of Life')) db.insert('ROLE', ('00001131', 'Hanging Up', 2000, 'Georgia', 'Manhattan Murder Mystery')) db.insert('ROLE', ('00000983', 'Hanging Up', 2000, 'Maddy', '')) db.insert('ROLE', ('00000223', 'You have Got Mail', 1998, 'Patricia Eden', '')) db.insert('ROLE', ('00000163', 'You have Got Mail', 1998, 'Joe Fox III', 'Saving Private Ryan')) db.insert('ROLE', ('00001212', 'You have Got Mail', 1998, 'Kathleen Kelly', 'Hanging Up')) db.insert('ROLE', ('00000242', 'The Price of Milk', 2000, 'Lucinda', 'Topless Women Talk About Their Lives')) db.insert('ROLE', ('00000243', 'The Price of Milk', 2000, 'Rob', '')) db.insert('ROLE', ('00000244', 'The Price of Milk', 2000, 'Drosophila', 'Topless Women Talk About Their Lives')) db.insert('ROLE', ('00000262', 'The Footstep Man', 1992, 'Sam', '')) db.insert('ROLE', ('00000263', 'The Footstep Man', 1992, 'Mirielle', '')) db.insert('ROLE', ('00000264', 'The Footstep Man', 1992, 'Henri de Toulouse', '')) db.insert('ROLE', ('00000242', 'Topless Women Talk About Their Lives', 1997, 'Liz', 'The Price of Milk')) db.insert('ROLE', ('00000281', 'Topless Women Talk About Their Lives', 1997, 'Neil', '')) db.insert('ROLE', ('00000282', 'Topless Women Talk About Their Lives', 1997, 'Ant', '')) db.insert('ROLE', ('00000244', 'Topless Women Talk About Their Lives', 1997, 'Prue', 'The Price of Milk')) db.insert('ROLE', ('00000302', 'The Piano', 1993, 'Ada McGrath', '')) db.insert('ROLE', ('00001233', 'The Piano', 1993, 'George Baines', 'Reservoir Dogs')) db.insert('ROLE', ('00000304', 'The Piano', 1993, 'Flora McGrath', '')) db.insert('ROLE', ('00000323', 'Mad Max', 1979, 'Max Rockatansky', 'Lethal Weapon 4')) db.insert('ROLE', ('00000324', 'Mad Max', 1979, 'Jessie Rockatansky', '')) db.insert('ROLE', ('00000343', 'Strictly Ballroom', 1992, 'Scott Hastings', '')) db.insert('ROLE', ('00000344', 'Strictly Ballroom', 1992, 'Fran', '')) db.insert('ROLE', ('00000345', 'Strictly Ballroom', 1992, 'Shirley Hastings', '')) db.insert('ROLE', ('00000346', 'Strictly Ballroom', 1992, 'Doug Hastings', '')) db.insert('ROLE', ('00000362', 'My Mother Frank', 2000, 'Mike', '')) db.insert('ROLE', ('00000363', 'My Mother Frank', 2000, 'Jenny', '')) db.insert('ROLE', ('00000364', 'My Mother Frank', 2000, 'Frank', '')) db.insert('ROLE', ('00000383', 'American Psycho', 2000, 'Patrick Bateman ', '')) db.insert('ROLE', ('00000384', 'American Psycho', 2000, 'Donald Kimball', '')) db.insert('ROLE', ('00000385', 'American Psycho', 2000, 'Paul Allen', '')) db.insert('ROLE', ('00001153', 'American Psycho', 2000, 'Courtney Rawlinson', 'Pump Up the Volume')) db.insert('ROLE', ('00000403', 'Scream 2', 1997, 'Dwight Dewey Riley', '')) db.insert('ROLE', ('00000404', 'Scream 2', 1997, 'Sidney Prescott', '')) db.insert('ROLE', ('00000405', 'Scream 2', 1997, 'Gale Weathers', '')) db.insert('ROLE', ('00000485', 'Scream 2', 1997, 'Casey', 'I Know What You Did Last Summer')) db.insert('ROLE', ('00000421', 'Scream 3', 2000, 'Cotton Weary', '')) db.insert('ROLE', ('00000422', 'Scream 3', 2000, 'Female Caller', '')) db.insert('ROLE', ('00000423', 'Scream 3', 2000, 'The Voice', '')) db.insert('ROLE', ('00000424', 'Scream 3', 2000, 'Christine', '')) db.insert('ROLE', ('00000404', 'Scream 3', 2000, 'Sidney Prescott', 'Scream 2')) db.insert('ROLE', ('00000405', 'Scream 3', 2000, 'Gale Weathers', 'Scream 2')) db.insert('ROLE', ('00000443', 'Traffic', 2000, 'Robert Wakefield', '')) db.insert('ROLE', ('00000444', 'Traffic', 2000, 'Javier Rodriguez', '')) db.insert('ROLE', ('00000445', 'Traffic', 2000, 'Helena Ayala', 'Entrapment')) db.insert('ROLE', ('00000446', 'Traffic', 2000, 'Carlos Ayala', '')) db.insert('ROLE', ('00000447', 'Traffic', 2000, 'Ray Castro', '')) db.insert('ROLE', ('00000448', 'Traffic', 2000, 'Barbara Wakefield', '')) db.insert('ROLE', ('00000449', 'Traffic', 2000, 'Caroline Wakefield', '')) db.insert('ROLE', ('00000450', 'Traffic', 2000, 'Montel Gordon', '')) db.insert('ROLE', ('00000451', 'Traffic', 2000, 'Manolo Sanchez', '')) db.insert('ROLE', ('00000452', 'Traffic', 2000, 'Francisco Flores', '')) db.insert('ROLE', ('00000462', 'Psycho', 1960, 'Norman Bates', '')) db.insert('ROLE', ('00000463', 'Psycho', 1960, 'Lila Crane', '')) db.insert('ROLE', ('00000464', 'Psycho', 1960, 'Marion Crane', '')) db.insert('ROLE', ('00000181', 'Psycho', 1960, 'Man in hat', '')) db.insert('ROLE', ('00000465', 'Psycho', 1960, 'Sam Loomis', '')) db.insert('ROLE', ('00000466', 'Psycho', 1960, 'Mother', '')) db.insert('ROLE', ('00000483', 'I Know What You Did Last Summer', 1997, 'Julie James', '')) db.insert('ROLE', ('00000485', 'I Know What You Did Last Summer', 1997, 'Helen Shivers', 'Scream 2')) db.insert('ROLE', ('00000484', 'I Know What You Did Last Summer', 1997, 'Barry Cox', 'Cruel Intentions')) db.insert('ROLE', ('00000484', 'Cruel Intentions', 1999, 'Sebastian Valmont', 'I Know What You Did Last Summer')) db.insert('ROLE', ('00000485', 'Cruel Intentions', 1999, 'Kathryn Merteuil', 'Scream 2')) db.insert('ROLE', ('00000503', 'Cruel Intentions', 1999, 'Annette Hargrove', '')) db.insert('ROLE', ('00000504', 'Cruel Intentions', 1999, 'Cecile Caldwell', '')) db.insert('ROLE', ('00001229', 'Wild Things', 1998, 'Ray Duquette', 'Apollo 13')) db.insert('ROLE', ('00000524', 'Wild Things', 1998, 'Sam Lombardo', '')) db.insert('ROLE', ('00000404', 'Wild Things', 1998, 'Suzie Toller', 'Scream 2')) db.insert('ROLE', ('00000543', 'Alien', 1979, 'Captain', '')) db.insert('ROLE', ('00000544', 'Alien', 1979, 'Warrent Officer', 'Aliens')) db.insert('ROLE', ('00000544', 'Aliens', 1986, 'Lieutenant', 'Alien')) db.insert('ROLE', ('00000561', 'Aliens', 1986, 'Rebecca', '')) db.insert('ROLE', ('00000544', 'Alien 3', 1992, 'Ellen Ripley', 'Aliens')) db.insert('ROLE', ('00000583', 'Alien 3', 1992, 'Dillon', '')) db.insert('ROLE', ('00000584', 'Alien 3', 1992, 'Clemens', '')) db.insert('ROLE', ('00000544', 'Alien: Resurrection', 1997, 'Lieutenant Ellen', 'Aliens')) db.insert('ROLE', ('00001031', 'Alien: Resurrection', 1997, 'Betty Mechanic', 'Mermaids')) db.insert('ROLE', ('00000604', 'Alien: Resurrection', 1997, 'Betty Chief Mechanic', '')) db.insert('ROLE', ('00000622', 'Gladiator', 2000, 'Maximus', 'The Insider')) db.insert('ROLE', ('00000623', 'Gladiator', 2000, 'Commodus', '')) db.insert('ROLE', ('00000624', 'Gladiator', 2000, 'Lucilla', '')) db.insert('ROLE', ('00000643', 'The World Is Not Enough', 1999, 'James Bond', '')) db.insert('ROLE', ('00000644', 'The World Is Not Enough', 1999, 'CEO Elektra', '')) db.insert('ROLE', ('00000645', 'The World Is Not Enough', 1999, 'Christmas', '')) db.insert('ROLE', ('00000662', 'Heat', 1995, 'Vincent Hanna', 'The Insider')) db.insert('ROLE', ('00000663', 'Heat', 1995, 'Neil McCauley', '')) db.insert('ROLE', ('00001017', 'Heat', 1995, 'Chris Shiherlis', 'Tombstone')) db.insert('ROLE', ('00000683', 'American History X', 1998, 'Derek Vinyard', '')) db.insert('ROLE', ('00000684', 'American History X', 1998, 'Daniel Vinyard', '')) db.insert('ROLE', ('00000685', 'American History X', 1998, 'Doris Vinyard', '')) db.insert('ROLE', ('00000683', 'Fight Club', 1999, 'Narrator', '')) db.insert('ROLE', ('00001198', 'Fight Club', 1999, 'Tyler Durden', 'Twelve Monkeys')) db.insert('ROLE', ('00000703', 'Fight Club', 1999, 'Robert Paulsen', '')) db.insert('ROLE', ('00000722', 'Out of Sight', 1998, 'Jack Foley', '')) db.insert('ROLE', ('00000723', 'Out of Sight', 1998, 'Bank Employee', '')) db.insert('ROLE', ('00000724', 'Out of Sight', 1998, 'Karen Sisco', '')) db.insert('ROLE', ('00000445', 'Entrapment', 1999, 'Virginia Baker', 'Traffic')) db.insert('ROLE', ('00000743', 'Entrapment', 1999, 'Robert Mac', '')) db.insert('ROLE', ('00000744', 'Entrapment', 1999, 'Aaron Thibadeaux', '')) db.insert('ROLE', ('00000762', 'The Insider', 1999, 'Liane Wigand', '')) db.insert('ROLE', ('00000622', 'The Insider', 1999, 'Jeffrey Wigand', 'Gladiator')) db.insert('ROLE', ('00000662', 'The Insider', 1999, 'Lowell Bergman', 'Heat')) db.insert('ROLE', ('00000782', 'The Blair Witch Project', 1999, 'Heather Donahue', '')) db.insert('ROLE', ('00000783', 'The Blair Witch Project', 1999, 'Josh', '')) db.insert('ROLE', ('00000784', 'The Blair Witch Project', 1999, 'Mike', '')) db.insert('ROLE', ('00000803', 'Lethal Weapon 4', 1998, 'Roger Murtaugh', '')) db.insert('ROLE', ('00001183', 'Lethal Weapon 4', 1998, 'Lorna Cole', 'In the Line of Fire')) db.insert('ROLE', ('00000323', 'Lethal Weapon 4', 1998, 'Martin Riggs', 'Mad Max')) db.insert('ROLE', ('00000822', 'The Fifth Element', 1997, 'Korben Dallas', 'The Sixth Sense')) db.insert('ROLE', ('00000823', 'The Fifth Element', 1997, 'Zorg', '')) db.insert('ROLE', ('00000824', 'The Fifth Element', 1997, 'Leeloo', '')) db.insert('ROLE', ('00000822', 'The Sixth Sense', 1999, 'Dr.Malcolm Crowe', 'The Fifth Element')) db.insert('ROLE', ('00000842', 'The Sixth Sense', 1999, 'Cole Sear', '')) db.insert('ROLE', ('00000843', 'The Sixth Sense', 1999, 'Lynn Sear', '')) db.insert('ROLE', ('00000822', 'Unbreakable', 2000, 'David Dunn', 'The Sixth Sense')) db.insert('ROLE', ('00001276', 'Unbreakable', 2000, 'Audrey Dunn', 'Forrest Gump')) db.insert('ROLE', ('00000862', 'Unbreakable', 2000, 'Joseph Dunn', '')) db.insert('ROLE', ('00000822', 'Armageddon', 1998, 'Harry S.Stamper', 'The Fifth Element')) db.insert('ROLE', ('00000883', 'Armageddon', 1998, 'Dan Truman', '')) db.insert('ROLE', ('00000884', 'Armageddon', 1998, 'Grace Stamper', '')) db.insert('ROLE', ('00000822', 'The Kid', 2000, 'Russ Duritz', 'Armageddon')) db.insert('ROLE', ('00000903', 'The Kid', 2000, 'Rusty Duritz', '')) db.insert('ROLE', ('00000904', 'The Kid', 2000, 'Amy', '')) db.insert('ROLE', ('00000822', 'Twelve Monkeys', 1995, 'James Cole', 'The Fifth Element')) db.insert('ROLE', ('00000923', 'Twelve Monkeys', 1995, 'Young Cole', '')) db.insert('ROLE', ('00001198', 'Twelve Monkeys', 1995, 'Jeffrey Goines', 'Fight Club')) db.insert('ROLE', ('00001006', 'Bullets Over Broadway', 1994, 'David Shayne', '')) db.insert('ROLE', ('00001007', 'Bullets Over Broadway', 1994, 'Julian Marx', 'While You Were Sleeping')) db.insert('ROLE', ('00001008', 'Bullets Over Broadway', 1994, 'Rocco', '')) db.insert('ROLE', ('00001016', 'Tombstone', 1993, 'Kurt Russell', '')) db.insert('ROLE', ('00001017', 'Tombstone', 1993, 'Val Kilmer', 'Heat')) db.insert('ROLE', ('00001018', 'Tombstone', 1993, 'Sam Elliott', '')) db.insert('ROLE', ('00001024', 'Alice', 1990, 'Joe', '')) db.insert('ROLE', ('00001025', 'Alice', 1990, 'Alice Tate', '')) db.insert('ROLE', ('00001026', 'Alice', 1990, 'Doug Tate', '')) db.insert('ROLE', ('00001029', 'Mermaids', 1990, 'Rachel Flax', '')) db.insert('ROLE', ('00001030', 'Mermaids', 1990, 'Lou Landsky', '')) db.insert('ROLE', ('00001031', 'Mermaids', 1990, 'Charlotte Flax', 'Little Women')) db.insert('ROLE', ('00001038', 'Exotica', 1994, 'Inspector', '')) db.insert('ROLE', ('00001039', 'Exotica', 1994, 'Thomas Pinto', '')) db.insert('ROLE', ('00001040', 'Exotica', 1994, 'Christina', '')) db.insert('ROLE', ('00001045', 'Red Rock West', 1992, 'Michael Williams', '')) db.insert('ROLE', ('00001046', 'Red Rock West', 1992, 'Jim', '')) db.insert('ROLE', ('00001053', 'Chaplin', 1992, 'Charlie Chaplin', '')) db.insert('ROLE', ('00001054', 'Chaplin', 1992, 'Hannah Chaplin', '')) db.insert('ROLE', ('00001055', 'Chaplin', 1992, 'Sydney Chaplin', '')) db.insert('ROLE', ('00001062', 'Fearless', 1993, 'Max Klein', '')) db.insert('ROLE', ('00001063', 'Fearless', 1993, 'Laura Klein', '')) db.insert('ROLE', ('00001064', 'Fearless', 1993, 'Carla Rodrigo', '')) db.insert('ROLE', ('00001071', 'Threesome', 1994, 'Alex', '')) db.insert('ROLE', ('00001072', 'Threesome', 1994, 'Stuart', '')) db.insert('ROLE', ('00001073', 'Threesome', 1994, 'Eddy', '')) db.insert('ROLE', ('00001080', 'Jungle Fever', 1991, 'Flipper Purify', '')) db.insert('ROLE', ('00001081', 'Jungle Fever', 1991, 'Angie Tucci', '')) db.insert('ROLE', ('00001088', 'Internal Affairs', 1990, 'Dennis Peck', '')) db.insert('ROLE', ('00001089', 'Internal Affairs', 1990, 'Raymond Avila', 'Dead Again')) db.insert('ROLE', ('00001090', 'Internal Affairs', 1990, 'Kathleen Avila', '')) db.insert('ROLE', ('00001098', 'Single White Female', 1992, 'Allison Jones', '')) db.insert('ROLE', ('00001099', 'Single White Female', 1992, 'Hedra Carlson', '')) db.insert('ROLE', ('00001100', 'Single White Female', 1992, 'Sam Rawson', '')) db.insert('ROLE', ('00001105', 'Trust', 1990, 'Maria Coughlin', '')) db.insert('ROLE', ('00001106', 'Trust', 1990, 'Matthew Slaughter', 'Amateur')) db.insert('ROLE', ('00001112', 'Ju Dou', 1990, 'Ju Dou', 'Daohong Denglong Gaogao Gua')) db.insert('ROLE', ('00001113', 'Ju Dou', 1990, 'Yang Tian-qing', '')) db.insert('ROLE', ('00001112', 'Dahong Denglong Gaogao Gua', 1991, 'Songlian', 'Ju Dou')) db.insert('ROLE', ('00001120', 'Dahong Denglong Gaogao Gua', 1991, 'The Third Concubine', '')) db.insert('ROLE', ('00001119', 'Dahong Denglong Gaogao Gua', 1991, 'The Master', '')) db.insert('ROLE', ('00001125', 'Cyrano de Bergerac', 1990, 'Cyrano De Bergerac', '')) db.insert('ROLE', ('00001126', 'Cyrano de Bergerac', 1990, 'Roxane', '')) db.insert('ROLE', ('00001005', 'Manhattan Murder Mystery', 1993, 'Larry Lipton', '')) db.insert('ROLE', ('00001131', 'Manhattan Murder Mystery', 1993, 'Carol Lipton', 'Hanging Up')) db.insert('ROLE', ('00001133', 'El Mariachi', 1992, 'El Mariachi', '')) db.insert('ROLE', ('00001134', 'El Mariachi', 1992, 'Domino', '')) db.insert('ROLE', ('00001137', 'Once Were Warriors', 1994, 'Beth Heke', '')) db.insert('ROLE', ('00001138', 'Once Were Warriors', 1994, 'Jake Heke', '')) db.insert('ROLE', ('00001145', 'Priest', 1994, 'Father Greg Pilkington', '')) db.insert('ROLE', ('00001146', 'Priest', 1994, 'Father Matthew Thomas', 'Shakespeare in Love')) db.insert('ROLE', ('00001152', 'Pump Up the Volum', 1990, 'Mark Hunter', '')) db.insert('ROLE', ('00001153', 'Pump Up the Volum', 1990, 'Nora Diniro', 'Little Women')) db.insert('ROLE', ('00001160', 'Benny and Joon', 1993, 'Sam', '')) db.insert('ROLE', ('00001161', 'Benny and Joon', 1993, 'Juniper Pearl', '')) db.insert('ROLE', ('00001167', 'Six Degrees of Separation', 1993, 'Ouisa Kittredge', '')) db.insert('ROLE', ('00001168', 'Six Degrees of Separation', 1993, 'Paul', '')) db.insert('ROLE', ('00001169', 'Six Degrees of Separation', 1993, 'John Flanders', '')) db.insert('ROLE', ('00001175', 'Bawang Bie Ji', 1993, 'Cheng Dieyi', '')) db.insert('ROLE', ('00001176', 'Bawang Bie Ji', 1993, 'Duan Xiaolou', '')) db.insert('ROLE', ('00001112', 'Bawang Bie Ji', 1993, 'Juxian', '')) db.insert('ROLE', ('00001181', 'In the Line of Fire', 1993, 'Secret Service Agent Frank Horrigan', '')) db.insert('ROLE', ('00001182', 'In the Line of Fire', 1993, 'Mitch Leary', '')) db.insert('ROLE', ('00001183', 'In the Line of Fire', 1993, 'Secret Service Agent Lilly Raines', 'Lethal Weapon 4')) db.insert('ROLE', ('00001187', 'Heavenly Creatures', 1994, 'Pauline Yvonne Rieper', '')) db.insert('ROLE', ('00001188', 'Heavenly Creatures', 1994, 'Juliet Marion Hulme', 'Titanic')) db.insert('ROLE', ('00001192', 'Hoop Dreams', 1994, 'Himself', '')) db.insert('ROLE', ('00001193', 'Hoop Dreams', 1994, 'Arthur', '')) db.insert('ROLE', ('00001197', 'Seven', 1995, 'Detective William Somerset', '')) db.insert('ROLE', ('00001198', 'Seven', 1995, 'Detective David Mills', 'Legends of the Fall')) db.insert('ROLE', ('00001204', 'Shallow Grave', 1994, 'Juliet Miller', '')) db.insert('ROLE', ('00001205', 'Shallow Grave', 1994, 'David Stephens', '')) db.insert('ROLE', ('00001206', 'Shallow Grave', 1994, 'Alex Law', '')) db.insert('ROLE', ('00001212', 'French Kiss', 1995, 'Kate', 'You have Got Mail')) db.insert('ROLE', ('00001213', 'French Kiss', 1995, 'Luc Teyssier', '')) db.insert('ROLE', ('00001214', 'French Kiss', 1995, 'Charlie', '')) db.insert('ROLE', ('00001217', 'Braindead', 1992, 'Lionel Cosgrove', '')) db.insert('ROLE', ('00001218', 'Braindead', 1992, 'Paquita Maria Sanchez', '')) db.insert('ROLE', ('00001219', 'Braindead', 1992, 'Mum', '')) db.insert('ROLE', ('00001186', 'Braindead', 1992, 'Undertaker Assistant', '')) db.insert('ROLE', ('00001222', 'Clerks', 1994, 'Veronica Loughran', '')) db.insert('ROLE', ('00001223', 'Clerks', 1994, 'Caitlin Bree', '')) db.insert('ROLE', ('00001227', 'Apollo 13', 1995, 'Jim Lovell', 'Forrest Gump')) db.insert('ROLE', ('00001228', 'Apollo 13', 1995, 'Fred Haise', '')) db.insert('ROLE', ('00001229', 'Apollo 13', 1995, 'Jack Swigert', 'Wild Things')) db.insert('ROLE', ('00001233', 'Reservoir Dogs', 1992, 'Larry', 'Pulp Fiction')) db.insert('ROLE', ('00001234', 'Reservoir Dogs', 1992, 'Freddy', '')) db.insert('ROLE', ('00001235', 'Reservoir Dogs', 1992, 'Vic', '')) db.insert('ROLE', ('00001238', 'Pulp Fiction', 1994, 'Vincent Vega', '')) db.insert('ROLE', ('00001239', 'Pulp Fiction', 1994, 'Jules Winnfield', '')) db.insert('ROLE', ('00001233', 'Pulp Fiction', 1994, 'Winston Wolf', 'Reservoir Dogs')) db.insert('ROLE', ('00001242', 'Yinshi Nan Nu', 1994, 'Chu', '')) db.insert('ROLE', ('00001243', 'Yinshi Nan Nu', 1994, 'Jia-Ning', '')) db.insert('ROLE', ('00001244', 'Yinshi Nan Nu', 1994, 'Jia-Chien', '')) db.insert('ROLE', ('00001249', 'Short Cuts', 1993, 'Ann Finnigan', '')) db.insert('ROLE', ('00001250', 'Short Cuts', 1993, 'Howard Finnigan', '')) db.insert('ROLE', ('00001251', 'Short Cuts', 1993, 'Paul Finnigan', '')) db.insert('ROLE', ('00001198', 'Legends of the Fall', 1994, 'Tristan Ludlow', 'Seven')) db.insert('ROLE', ('00001256', 'Legends of the Fall', 1994, 'Colonel William Ludlow', 'Shadowlands')) db.insert('ROLE', ('00001257', 'Legends of the Fall', 1994, 'Alfred Ludlow', '')) db.insert('ROLE', ('00001262', 'Natural Born Killers', 1994, 'Mickey Knox', '')) db.insert('ROLE', ('00001263', 'Natural Born Killers', 1994, 'Mallory Wilson Knox', '')) db.insert('ROLE', ('00001264', 'Natural Born Killers', 1994, 'Wayne Gale', '')) db.insert('ROLE', ('00001269', 'In the Mouth of Madness', 1995, 'John Trent', 'Jurassic Park')) db.insert('ROLE', ('00001270', 'In the Mouth of Madness', 1995, 'Sutter Cane', '')) db.insert('ROLE', ('00001271', 'In the Mouth of Madness', 1995, 'Linda Styles', '')) db.insert('ROLE', ('00001227', 'Forrest Gump', 1994, 'Forrest Gump', 'Apollo 13')) db.insert('ROLE', ('00001276', 'Forrest Gump', 1994, 'Jenny Curran', 'Unbreakable')) db.insert('ROLE', ('00001277', 'Forrest Gump', 1994, 'Lieutenant Daniel Taylor', '')) db.insert('ROLE', ('00001281', 'Malcolm X', 1992, 'Malcolm X', '')) db.insert('ROLE', ('00001282', 'Malcolm X', 1992, 'Betty Shabazz', '')) db.insert('ROLE', ('00001079', 'Malcolm X', 1992, 'Shorty', '')) db.insert('ROLE', ('00001284', 'Dead Again', 1991, 'Mike Church', '')) db.insert('ROLE', ('00001089', 'Dead Again', 1991, 'Gray Baker', 'Internal Affaris')) db.insert('ROLE', ('00001286', 'Dead Again', 1991, 'Margaret Strauss', '')) db.insert('ROLE', ('00001269', 'Jurassic Park', 1993, 'Alan Grant', 'In the Mouth of Madness')) db.insert('ROLE', ('00001293', 'Jurassic Park', 1993, 'Ellie Sattler', '')) db.insert('ROLE', ('00001294', 'Jurassic Park', 1993, 'Ian Malcolm', '')) db.insert('ROLE', ('00001051', 'Jurassic Park', 1993, 'John Parker Hammond', '')) db.insert('ROLE', ('00001298', 'Clueless', 1995, 'Cher Horowitz', '')) db.insert('ROLE', ('00001299', 'Clueless', 1995, 'Dionne', '')) db.insert('ROLE', ('00001300', 'Clueless', 1995, 'Tai Fraiser', '')) db.insert('ROLE', ('00001256', 'Shadowlands', 1993, 'Lewis', 'Legends of the Fall')) db.insert('ROLE', ('00001307', 'Shadowlands', 1993, 'Joy Gresham', '')) db.insert('ROLE', ('00001308', 'Shadowlands', 1993, 'Arnold Dopliss', '')) db.insert('ROLE', ('00001312', 'Amateur', 1994, 'Isabelle', '')) db.insert('ROLE', ('00001106', 'Amateur', 1994, 'Thomas Ludens', 'Trust')) db.insert('ROLE', ('00001313', 'Amateur', 1994, 'Sofia Ludens', '')) db.insert('ROLE', ('00001318', 'GoodFellas', 1990, 'James', '')) db.insert('ROLE', ('00001319', 'GoodFellas', 1990, 'Henry Hill', '')) db.insert('ROLE', ('00001320', 'GoodFellas', 1990, 'Tommy DeVito', '')) db.insert('ROLE', ('00001031', 'Little Women', 1994, 'Josephine', 'Mermaids')) db.insert('ROLE', ('00001326', 'Little Women', 1994, 'Friedrich', '')) db.insert('ROLE', ('00001327', 'Little Women', 1994, 'Margaret', '')) db.insert('ROLE', ('00001153', 'Little Women', 1994, 'Older Amy March', 'Pump Up the Volum')) db.insert('ROLE', ('00001333', 'While You Were Sleeping', 1995, 'Narrator', '')) db.insert('ROLE', ('00001334', 'While You Were Sleeping', 1995, 'Jack Callaghan', '')) db.insert('ROLE', ('00001007', 'While You Were Sleeping', 1995, 'Saul', 'Bullets Over Broadway')) db.insert('PERSON', ('00001001', 'James', 'Stewart', 1908)) db.insert('PERSON', ('00001002', 'Grace', 'Kelly', 1929)) db.insert('PERSON', ('00001003', 'Raymond', 'Burr', 1917)) db.insert('PERSON', ('00001004', 'John Michael', 'Hayes', 1919)) db.insert('PERSON', ('00000982', 'Delia', 'Ephron', 1943)) db.insert('PERSON', ('00000983', 'Lisa', 'Kudrow', 1963)) db.insert('PERSON', ('00000961', 'Taylor', 'Hackford', 1945)) db.insert('PERSON', ('00000962', 'Tony', 'Gilroy (I)', 1962)) db.insert('PERSON', ('00000963', 'David', 'Morse', 1953)) db.insert('PERSON', ('00000941', 'John', 'Lasseter', 1957)) db.insert('PERSON', ('00000942', 'Tim', 'Allen', 1953)) db.insert('PERSON', ('00000943', 'Annie', 'Potts', 1952)) db.insert('PERSON', ('00000921', 'Terry', 'Gilliam', 1940)) db.insert('PERSON', ('00000922', 'Chris', 'Marker', 1921)) db.insert('PERSON', ('00000923', 'Joseph', 'Melito', 1932)) db.insert('PERSON', ('00000902', 'Audrey', 'Wells', 1961)) db.insert('PERSON', ('00000903', 'Spencer', 'Breslin', 1992)) db.insert('PERSON', ('00000904', 'Emily', 'Mortimer', 1971)) db.insert('PERSON', ('00000881', 'Michael', 'Bay', 1965)) db.insert('PERSON', ('00000882', 'Robert', 'Roy Pool', 1957)) db.insert('PERSON', ('00000883', 'Billy', 'Bob Thornton', 1955)) db.insert('PERSON', ('00000884', 'Liv', 'Tyler', 1977)) db.insert('PERSON', ('00000862', 'Spencer', 'Clark', 1987)) db.insert('PERSON', ('00000841', 'M. Night', 'Shyamalan', 1970)) db.insert('PERSON', ('00000842', 'Haley', 'Joel Osment', 1988)) db.insert('PERSON', ('00000843', 'Toni', 'Collette', 1972)) db.insert('PERSON', ('00000821', 'Luc', 'Besson', 1959)) db.insert('PERSON', ('00000822', 'Bruce', 'Willis', 1955)) db.insert('PERSON', ('00000823', 'Gary', 'Oldman', 1958)) db.insert('PERSON', ('00000824', 'Milla', 'Jovovich', 1975)) db.insert('PERSON', ('00000801', 'Richard', 'Donner', 1930)) db.insert('PERSON', ('00000802', 'Jonathan', 'Lemkin', 1948)) db.insert('PERSON', ('00000803', 'Danny', 'Glover', 1946)) db.insert('PERSON', ('00000781', 'Daniel', 'Myrick', 1964)) db.insert('PERSON', ('00000782', 'Heather', 'Donahue', 1974)) db.insert('PERSON', ('00000783', 'Joshua', 'Leonard', 1975)) db.insert('PERSON', ('00000784', 'Michael', 'C. Williams', 1973)) db.insert('PERSON', ('00000761', 'Marie', 'Brenner', 1963)) db.insert('PERSON', ('00000762', 'Diane', 'Venora', 1952)) db.insert('PERSON', ('00000741', 'Jon', 'Amiel', 1948)) db.insert('PERSON', ('00000742', 'Ronald', 'Bass', 1943)) db.insert('PERSON', ('00000743', 'Sean', 'Connery', 1930)) db.insert('PERSON', ('00000744', 'Ving', 'Rhames', 1961)) db.insert('PERSON', ('00000721', 'Elmore', 'Leonard', 1925)) db.insert('PERSON', ('00000722', 'George', 'Clooney', 1961)) db.insert('PERSON', ('00000723', 'Jim', 'Robinson (I)', 1947)) db.insert('PERSON', ('00000724', 'Jennifer', 'Lopez', 1970)) db.insert('PERSON', ('00000701', 'Chuck', 'Palahniuk', 1955)) db.insert('PERSON', ('00000703', 'Meat', 'Loaf', 1951)) db.insert('PERSON', ('00000681', 'Tony', 'Kaye (I)', 1968)) db.insert('PERSON', ('00000682', 'David ', 'McKenna', 1968)) db.insert('PERSON', ('00000683', 'Edward', 'Norton', 1969)) db.insert('PERSON', ('00000684', 'Edward', 'Furlong', 1977)) db.insert('PERSON', ('00000685', 'Beverly', 'DAngelo', 1969)) db.insert('PERSON', ('00000661', 'Michael', 'Mann', 1943)) db.insert('PERSON', ('00000662', 'Al', 'Pacino', 1940)) db.insert('PERSON', ('00000663', 'Robert', 'De Niro', 1943)) db.insert('PERSON', ('00000641', 'Michael', 'Apted', 1941)) db.insert('PERSON', ('00000642', 'Neal', 'Purvis', 1950)) db.insert('PERSON', ('00000643', 'Pierce', 'Brosnan', 1953)) db.insert('PERSON', ('00000644', 'Sophie', 'Marceau', 1966)) db.insert('PERSON', ('00000645', 'Denise', 'Richards', 1972)) db.insert('PERSON', ('00000621', 'David', 'H. Franzoni', 1967)) db.insert('PERSON', ('00000622', 'Russell', 'Crowe', 1964)) db.insert('PERSON', ('00000623', 'Joaquin', 'Phoenix', 1974)) db.insert('PERSON', ('00000624', 'Connie', 'Nielsen', 1965)) db.insert('PERSON', ('00000601', 'Jean-Pierre', 'Jeunet', 1955)) db.insert('PERSON', ('00000602', 'Joss', 'Whedon', 1964)) db.insert('PERSON', ('00000604', 'Dominique', 'Pinon', 1955)) db.insert('PERSON', ('00000582', 'Vincent', 'Ward', 1956)) db.insert('PERSON', ('00000583', 'Charles', 'Dutton', 1951)) db.insert('PERSON', ('00000584', 'Charles', 'Dance', 1946)) db.insert('PERSON', ('00000561', 'Carrie', 'Henn', 1976)) db.insert('PERSON', ('00000562', 'Don', 'Sharpe', 1968)) db.insert('PERSON', ('00000563', 'Suzanne', 'M. Benson', 1959)) db.insert('PERSON', ('00000564', 'Brian', 'Johnson (I)', 1970)) db.insert('PERSON', ('00000541', 'Ridley', 'Scott', 1937)) db.insert('PERSON', ('00000542', 'Dan', 'OBannon', 1946)) db.insert('PERSON', ('00000543', 'Tom', 'Skerritt', 1933)) db.insert('PERSON', ('00000544', 'Sigourney', 'Weaver', 1949)) db.insert('PERSON', ('00000545', 'Derrick', 'Leather', 1960)) db.insert('PERSON', ('00000546', 'Michael', 'Seymour (I)', 1958)) db.insert('PERSON', ('00000547', 'Nick', 'Allder', 1963)) db.insert('PERSON', ('00000521', 'John', 'McNaughton', 1950)) db.insert('PERSON', ('00000522', 'Stephen ', 'Peters', 1947)) db.insert('PERSON', ('00000524', 'Matt', 'Dillon', 1964)) db.insert('PERSON', ('00000501', 'Roger', 'Kumble', 1966)) db.insert('PERSON', ('00000502', 'Choderlos', 'de Laclos', 1741)) db.insert('PERSON', ('00000503', 'Reese', 'Witherspoon', 1976)) db.insert('PERSON', ('00000504', 'Selma', 'Blair', 1972)) db.insert('PERSON', ('00000481', 'Jim', 'Gillespie (I)', 1968)) db.insert('PERSON', ('00000482', 'Lois', 'Duncan', 1972)) db.insert('PERSON', ('00000483', 'Jennifer', 'Love Hewitt', 1979)) db.insert('PERSON', ('00000484', 'Ryan', 'Phillippe', 1974)) db.insert('PERSON', ('00000485', 'Sarah', 'Michelle Gellar', 1977)) db.insert('PERSON', ('00000461', 'Robert', 'Bloch', 1917)) db.insert('PERSON', ('00000462', 'Anthony', 'Perkins', 1932)) db.insert('PERSON', ('00000463', 'Vera', 'Miles', 1929)) db.insert('PERSON', ('00000464', 'Janet', 'Leigh', 1927)) db.insert('PERSON', ('00000465', 'John', 'Gavin', 1928)) db.insert('PERSON', ('00000466', 'Paul', 'Jasmin', 1921)) db.insert('PERSON', ('00000441', 'Steven', 'Soderbergh', 1963)) db.insert('PERSON', ('00000442', 'Stephen', 'Gaghan', 1956)) db.insert('PERSON', ('00000443', 'Michael', 'Douglas', 1944)) db.insert('PERSON', ('00000444', 'Benicio', 'Del Toro', 1967)) db.insert('PERSON', ('00000445', 'Catherine', 'Zeta-Jones', 1969)) db.insert('PERSON', ('00000446', 'Stephen', 'Bauer', 1956)) db.insert('PERSON', ('00000447', 'Luis', 'Guzman', 1967)) db.insert('PERSON', ('00000448', 'Amy', 'Irving', 1953)) db.insert('PERSON', ('00000449', 'Erika', 'Christensen', 1982)) db.insert('PERSON', ('00000450', 'Don', 'Cheadle', 1964)) db.insert('PERSON', ('00000451', 'Jacob', 'Vargas', 1963)) db.insert('PERSON', ('00000452', 'Clifton', 'Collins', 1971)) db.insert('PERSON', ('00000421', 'Liev', 'Schreiber', 1967)) db.insert('PERSON', ('00000422', 'Beth', 'Toussaint', 1962)) db.insert('PERSON', ('00000423', 'Roger', 'Jackson', 1965)) db.insert('PERSON', ('00000424', 'Kelly', 'Rutherford', 1968)) db.insert('PERSON', ('00000401', 'Wes', 'Craven', 1939)) db.insert('PERSON', ('00000402', 'Kevin', 'Williamson', 1965)) db.insert('PERSON', ('00000403', 'David', 'Arquette', 1971)) db.insert('PERSON', ('00000404', 'Neve', 'Campbell', 1973)) db.insert('PERSON', ('00000405', 'Courteney', 'Cox', 1964)) db.insert('PERSON', ('00000381', 'Mary', 'Harron (I)', 1966)) db.insert('PERSON', ('00000382', 'Bret', 'Easton Ellis', 1964)) db.insert('PERSON', ('00000383', 'Christian', 'Bale', 1974)) db.insert('PERSON', ('00000384', 'Willem', 'Dafoe', 1955)) db.insert('PERSON', ('00000385', 'Jared', 'Leto', 1971)) db.insert('PERSON', ('00000361', 'Mark', 'Lamprell', 1950)) db.insert('PERSON', ('00000362', 'Nicholas', 'Bishop', 1974)) db.insert('PERSON', ('00000363', 'Rose', 'Byrne', 1953)) db.insert('PERSON', ('00000364', 'Sinead', 'Cusack', 1948)) db.insert('PERSON', ('00000341', 'Baz', 'Luhrmann', 1942)) db.insert('PERSON', ('00000342', 'Craig', 'Pearce', 1948)) db.insert('PERSON', ('00000343', 'Paul', 'Mercurio', 1963)) db.insert('PERSON', ('00000344', 'Tara', 'Morice', 1967)) db.insert('PERSON', ('00000345', 'Pat', 'Thompson (II)', 1940)) db.insert('PERSON', ('00000346', 'Barry', 'Otto', 1965)) db.insert('PERSON', ('00000347', 'Jill', 'Bilcock', 1967)) db.insert('PERSON', ('00000348', 'Catherine', 'Martin (I)', 1950)) db.insert('PERSON', ('00000349', 'Angus', 'Strathie', 1954)) db.insert('PERSON', ('00000321', 'George', 'Miller (II)', 1945)) db.insert('PERSON', ('00000322', 'James', 'McCausland', 1943)) db.insert('PERSON', ('00000323', 'Mel', 'Gibson', 1956)) db.insert('PERSON', ('00000324', 'Joanne', 'Samuel', 1951)) db.insert('PERSON', ('00000325', 'Brian', 'May (I)', 1934)) db.insert('PERSON', ('00000001', 'James', 'Cameron', 1954)) db.insert('PERSON', ('00000002', 'Leonardo', 'DiCaprio', 1974)) db.insert('PERSON', ('00000004', 'Billy', 'Zane', 1966)) db.insert('PERSON', ('00000005', 'Kathy', 'Bates', 1948)) db.insert('PERSON', ('00000006', 'Michael', 'Ford (I)', 1966)) db.insert('PERSON', ('00000007', 'Russell', 'Carpenter', 1971)) db.insert('PERSON', ('00000008', 'Deborah', 'Lynn Scott', 1968)) db.insert('PERSON', ('00000009', 'Thomas', 'L.Fisher', 1956)) db.insert('PERSON', ('00000010', 'Tom', 'Bellfort', 1964)) db.insert('PERSON', ('00000011', 'Conrad', 'Buff IV', 1956)) db.insert('PERSON', ('00000012', 'James', 'Horner', 1953)) db.insert('PERSON', ('00000013', 'Will', 'Jennings (II)', 1961)) db.insert('PERSON', ('00000021', 'John', 'Madden', 1949)) db.insert('PERSON', ('00000022', 'Marc', 'Norman', 1952)) db.insert('PERSON', ('00000023', 'Geoffrey', 'Rush', 1951)) db.insert('PERSON', ('00000025', 'Steve', 'ODonnell', 1956)) db.insert('PERSON', ('00000026', 'Judi', 'Dench', 1934)) db.insert('PERSON', ('00000027', 'Sandy', 'Powell', 1940)) db.insert('PERSON', ('00000041', 'Lasse', 'Hallstrom', 1946)) db.insert('PERSON', ('00000042', 'John', 'Irving', 1942)) db.insert('PERSON', ('00000043', 'Kate', 'Nelligan', 1950)) db.insert('PERSON', ('00000044', 'Tobey', 'Maguire', 1975)) db.insert('PERSON', ('00000045', 'Charlize', 'Theron', 1975)) db.insert('PERSON', ('00000046', 'Delroy', 'Lindo', 1952)) db.insert('PERSON', ('00000047', 'Michael', 'Caine', 1958)) db.insert('PERSON', ('00000062', 'John', 'Briley', 1925)) db.insert('PERSON', ('00000063', 'Ben', 'Kingsley', 1943)) db.insert('PERSON', ('00000064', 'Candice', 'Bergen', 1946)) db.insert('PERSON', ('00000065', 'Roshan', 'Seth', 1942)) db.insert('PERSON', ('00000066', 'Edward', 'Fox', 1937)) db.insert('PERSON', ('00000081', 'Sam', 'Mendes', 1965)) db.insert('PERSON', ('00000082', 'Alan', 'Ball', 1957)) db.insert('PERSON', ('00000083', 'Kevin', 'Spacey', 1959)) db.insert('PERSON', ('00000084', 'Annette', 'Bening', 1958)) db.insert('PERSON', ('00000085', 'Thora', 'Birch', 1982)) db.insert('PERSON', ('00000086', 'Wes', 'Bentley', 1978)) db.insert('PERSON', ('00000101', 'Paul', 'Schrader', 1946)) db.insert('PERSON', ('00000102', 'Russell', 'Banks', 1940)) db.insert('PERSON', ('00000103', 'Nick', 'Nolte', 1941)) db.insert('PERSON', ('00000104', 'Brigid', 'Tierney', 1948)) db.insert('PERSON', ('00000105', 'Holmes', 'Osborne', 1950)) db.insert('PERSON', ('00000106', 'Jim', 'True', 1945)) db.insert('PERSON', ('00000107', 'James', 'Coburn', 1928)) db.insert('PERSON', ('00000121', 'Roberto', 'Benigini', 1952)) db.insert('PERSON', ('00000122', 'Vincenzo', 'Cerami', 1940)) db.insert('PERSON', ('00000123', 'Nicoletta', 'Braschi', 1960)) db.insert('PERSON', ('00000141', 'Kimberly', 'Peirce', 1967)) db.insert('PERSON', ('00000142', 'Andy', 'Bienen', 1965)) db.insert('PERSON', ('00000143', 'Hilary', 'Swank', 1974)) db.insert('PERSON', ('00000144', 'Chloe', 'Sevigny', 1974)) db.insert('PERSON', ('00000145', 'Peter', 'Sarsgaard', 1972)) db.insert('PERSON', ('00000146', 'Brendan', 'Sexton III', 1980)) db.insert('PERSON', ('00000162', 'Robert', 'Rodat', 1953)) db.insert('PERSON', ('00000164', 'Tom', 'Sizemore', 1964)) db.insert('PERSON', ('00000165', 'Edwards', 'Burns', 1968)) db.insert('PERSON', ('00000166', 'Barry', 'Pepper', 1970)) db.insert('PERSON', ('00000181', 'Alfred', 'Hitchcock', 1932)) db.insert('PERSON', ('00000182', 'Daphne', 'Du Maurier', 1940)) db.insert('PERSON', ('00000183', 'Evan', 'Hunter', 1937)) db.insert('PERSON', ('00000184', 'Rod', 'Taylor', 1935)) db.insert('PERSON', ('00000185', 'Jessica', 'Tandy', 1941)) db.insert('PERSON', ('00000186', 'Suzanne', 'Pleshette', 1938)) db.insert('PERSON', ('00000187', 'Tippi', 'Hedren', 1931)) db.insert('PERSON', ('00000201', 'Andy', 'Wachowski', 1965)) db.insert('PERSON', ('00000202', 'Larry', 'Wachowski', 1968)) db.insert('PERSON', ('00000203', 'Keanu', 'Reeves', 1972)) db.insert('PERSON', ('00000204', 'Laurence', 'Fishburne', 1970)) db.insert('PERSON', ('00000205', 'John', 'Gaeta', 1962)) db.insert('PERSON', ('00000206', 'Janek', 'Sirrs', 1957)) db.insert('PERSON', ('00000207', 'Steve', 'Courtley', 1961)) db.insert('PERSON', ('00000208', 'Jon', 'Thum', 1956)) db.insert('PERSON', ('00000209', 'Dane', 'A.davis', 1966)) db.insert('PERSON', ('00000222', 'Nora', 'Ephron', 1941)) db.insert('PERSON', ('00000223', 'Parker', 'Posey', 1968)) db.insert('PERSON', ('00000241', 'Harry', 'Sinclair (II)', 1965)) db.insert('PERSON', ('00000242', 'Danielle', 'Cormack', 1959)) db.insert('PERSON', ('00000243', 'Karl', 'Urban', 1972)) db.insert('PERSON', ('00000244', 'Willa', 'ONeill', 1970)) db.insert('PERSON', ('00000261', 'Leon', 'Narbey', 1958)) db.insert('PERSON', ('00000262', 'Stephen', 'Grives', 1971)) db.insert('PERSON', ('00000263', 'Jennifer', 'Ward-Lealand', 1966)) db.insert('PERSON', ('00000264', 'Michael', 'Hurst (I)', 1957)) db.insert('PERSON', ('00000281', 'Joel', 'Tobeck', 1971)) db.insert('PERSON', ('00000282', 'Ian', 'Hughes (I)', 1968)) db.insert('PERSON', ('00000301', 'Jane', 'Campion', 1954)) db.insert('PERSON', ('00000302', 'Holly', 'Hunter', 1958)) db.insert('PERSON', ('00000304', 'Anna', 'Paquin', 1982)) db.insert('PERSON', ('00000306', 'Janet', 'Patterson', 1967)) db.insert('PERSON', ('00000307', 'Andrew', 'McAlpine', 1962)) db.insert('PERSON', ('00001005', 'Woody', 'Allen', 1935)) db.insert('PERSON', ('00001006', 'John', 'Cusack', 1966)) db.insert('PERSON', ('00001007', 'Jack', 'Warden', 1920)) db.insert('PERSON', ('00001008', 'Tony', 'Sirico', 1942)) db.insert('PERSON', ('00001009', 'Robert', 'Greenhut', 1943)) db.insert('PERSON', ('00001010', 'Carlo', 'DiPalma', 1925)) db.insert('PERSON', ('00001011', 'Susan E.', 'Morse', 1930)) db.insert('PERSON', ('00001012', 'Juliet', 'Taylor', 1967)) db.insert('PERSON', ('00001013', 'Jeffrey', 'Kurland', 1958)) db.insert('PERSON', ('00001014', 'George P.', 'Cosmatos', 1941)) db.insert('PERSON', ('00001015', 'Kevin', 'Jarre', 1938)) db.insert('PERSON', ('00001016', 'Kurt', 'Russell', 1951)) db.insert('PERSON', ('00001017', 'Val', 'Kilmer', 1959)) db.insert('PERSON', ('00001018', 'Sam', 'Elliott', 1944)) db.insert('PERSON', ('00001019', 'Sean', 'Daniel', 1951)) db.insert('PERSON', ('00001020', 'William A.', 'Fraker', 1923)) db.insert('PERSON', ('00001021', 'Harvey', 'Rosenstock', 1935)) db.insert('PERSON', ('00001022', 'Lora', 'Kennedy', 1940)) db.insert('PERSON', ('00001023', 'Joseph A.', 'Porro', 1943)) db.insert('PERSON', ('00001024', 'Joe', 'Mantegna', 1947)) db.insert('PERSON', ('00001025', 'Mia', 'Farrow', 1945)) db.insert('PERSON', ('00001026', 'William', 'Hurt', 1950)) db.insert('PERSON', ('00001027', 'Richard', 'Benjamin', 1938)) db.insert('PERSON', ('00001028', 'Patty', 'Dann', 1942)) db.insert('PERSON', ('00001029', 'Cherilyn', 'LaPierre', 1946)) db.insert('PERSON', ('00001030', 'Bob', 'Hoskins', 1942)) db.insert('PERSON', ('00001031', 'Winona', 'Ryder', 1971)) db.insert('PERSON', ('00001032', 'Lauren', 'Lloyd', 1941)) db.insert('PERSON', ('00001033', 'Howard', 'Atherton', 1938)) db.insert('PERSON', ('00001034', 'Jacqueline', 'Cambas', 1952)) db.insert('PERSON', ('00001035', 'Margery', 'Simkin', 1947)) db.insert('PERSON', ('00001036', 'Marit', 'Allen', 1954)) db.insert('PERSON', ('00001037', 'Atom', 'Egoyan', 1960)) db.insert('PERSON', ('00001038', 'David', 'Hemblen', 1958)) db.insert('PERSON', ('00001039', 'Don', 'Mckellar', 1963)) db.insert('PERSON', ('00001040', 'Mia', 'Kirshner', 1976)) db.insert('PERSON', ('00001041', 'Paul', 'Sarossy', 1963)) db.insert('PERSON', ('00001042', 'Susan', 'Shipton', 1959)) db.insert('PERSON', ('00001043', 'Linda', 'Muir', 1960)) db.insert('PERSON', ('00001044', 'John', 'Dahl', 1956)) db.insert('PERSON', ('00001045', 'Nicolas', 'Cage', 1964)) db.insert('PERSON', ('00001046', 'Craig', 'Reay', 1967)) db.insert('PERSON', ('00001047', 'Steve', 'Golin', 1958)) db.insert('PERSON', ('00001048', 'Marc', 'Reshovsky', 1965)) db.insert('PERSON', ('00001049', 'Scott', 'Chestnut', 1959)) db.insert('PERSON', ('00001050', 'Terry', 'Dresbach', 1964)) db.insert('PERSON', ('00001051', 'Richard', 'Attenborough', 1923)) db.insert('PERSON', ('00001052', 'Charles', 'Chaplin', 1889)) db.insert('PERSON', ('00001053', 'Robert', 'Downey Jr.', 1965)) db.insert('PERSON', ('00001054', 'Geraldine', 'Chaplin', 1944)) db.insert('PERSON', ('00001055', 'Paul', 'Rhys', 1963)) db.insert('PERSON', ('00001056', 'Sven', 'Nykvist', 1922)) db.insert('PERSON', ('00001057', 'Anne V.', 'Coates', 1925)) db.insert('PERSON', ('00001058', 'Mike', 'Fenton', 1947)) db.insert('PERSON', ('00001059', 'Ellen', 'Mirojnick', 1949)) db.insert('PERSON', ('00001060', 'Peter', 'Weir', 1944)) db.insert('PERSON', ('00001061', 'Rafael', 'Yglesias', 1954)) db.insert('PERSON', ('00001062', 'Jeff', 'Bridges', 1949)) db.insert('PERSON', ('00001063', 'Isabella', 'Rossellini', 1952)) db.insert('PERSON', ('00001064', 'Rosie', 'Perez', 1964)) db.insert('PERSON', ('00001065', 'Mark', 'Rosenberg', 1948)) db.insert('PERSON', ('00001066', 'Allen', 'Daviau', 1953)) db.insert('PERSON', ('00001067', 'Bill', 'Anderson', 1962)) db.insert('PERSON', ('00001068', 'Howard', 'Feuer', 1965)) db.insert('PERSON', ('00001069', 'Marilyn', 'Matthews', 1955)) db.insert('PERSON', ('00001070', 'Andrew', 'Fleming', 1946)) db.insert('PERSON', ('00001071', 'Lara', 'Boyle', 1970)) db.insert('PERSON', ('00001072', 'Stephen', 'Baldwin', 1966)) db.insert('PERSON', ('00001073', 'Josh', 'Charles', 1971)) db.insert('PERSON', ('00001074', 'Brad', 'Krevoy', 1967)) db.insert('PERSON', ('00001075', 'Alexander', 'Gruszynski', 1954)) db.insert('PERSON', ('00001076', 'Bill', 'Carruth', 1949)) db.insert('PERSON', ('00001077', 'Ed', 'Mitchell', 1955)) db.insert('PERSON', ('00001078', 'Deborah', 'Everton', 1962)) db.insert('PERSON', ('00001079', 'Spike', 'Lee', 1957)) db.insert('PERSON', ('00001080', 'Wesley', 'Snipes', 1962)) db.insert('PERSON', ('00001081', 'Annabella', 'Sciorra', 1964)) db.insert('PERSON', ('00001082', 'Ernest R.', 'Dickerson', 1952)) db.insert('PERSON', ('00001083', 'Samuel D.', 'Pollard', 1963)) db.insert('PERSON', ('00001084', 'Robi', 'Reed', 1954)) db.insert('PERSON', ('00001085', 'Ruth E.', 'Carter', 1968)) db.insert('PERSON', ('00001086', 'Mike', 'Figgis', 1948)) db.insert('PERSON', ('00001087', 'Henry', 'Bean', 1943)) db.insert('PERSON', ('00001088', 'Richard', 'Gere', 1949)) db.insert('PERSON', ('00001089', 'Andy', 'Carcia', 1956)) db.insert('PERSON', ('00001090', 'Nancy', 'Travis', 1961)) db.insert('PERSON', ('00001091', 'Frank', 'Mancuso', 1958)) db.insert('PERSON', ('00001092', 'John', 'Alonzo', 1934)) db.insert('PERSON', ('00001093', 'Robert', 'Estrin', 1942)) db.insert('PERSON', ('00001094', 'Carrie', 'Frazier', 1947)) db.insert('PERSON', ('00001095', 'Rudy', 'Dillon', 1950)) db.insert('PERSON', ('00001096', 'Barbet', 'Schroeder', 1941)) db.insert('PERSON', ('00001097', 'John', 'Lutz', 1948)) db.insert('PERSON', ('00001098', 'Bridget', 'Fonda', 1964)) db.insert('PERSON', ('00001099', 'Jennifer', 'Leigh', 1962)) db.insert('PERSON', ('00001100', 'Steven', 'Weber', 1961)) db.insert('PERSON', ('00001101', 'Luciano', 'Tovoli', 1965)) db.insert('PERSON', ('00001102', 'Lee', 'Percy', 1971)) db.insert('PERSON', ('00001103', 'Milena', 'Canonero', 1965)) db.insert('PERSON', ('00001104', 'Hal', 'Hartley', 1959)) db.insert('PERSON', ('00001105', 'Adrienne', 'Shelly', 1966)) db.insert('PERSON', ('00001106', 'Martin', 'Donovan', 1957)) db.insert('PERSON', ('00001107', 'Michael', 'Spiller', 1961)) db.insert('PERSON', ('00001108', 'Nick', 'Gomez', 1963)) db.insert('PERSON', ('00001109', 'Claudia', 'Brown', 1962)) db.insert('PERSON', ('00001110', 'Yimou', 'Zhang', 1951)) db.insert('PERSON', ('00001111', 'Heng', 'Liu', 1964)) db.insert('PERSON', ('00001112', 'Li', 'Gong', 1965)) db.insert('PERSON', ('00001113', 'Baotian', 'Li', 1950)) db.insert('PERSON', ('00001114', 'Hu', 'Jian', 1962)) db.insert('PERSON', ('00001115', 'Changwei', 'Gu', 1965)) db.insert('PERSON', ('00001116', 'Yuan', 'Du', 1955)) db.insert('PERSON', ('00001117', 'Zhi-an', 'Zhang', 1963)) db.insert('PERSON', ('00001118', 'Su', 'Tong', 1957)) db.insert('PERSON', ('00001119', 'Jingwu', 'Ma', 1947)) db.insert('PERSON', ('00001120', 'Caifei', 'He', 1965)) db.insert('PERSON', ('00001121', 'Fu-Sheng', 'Chiu', 1956)) db.insert('PERSON', ('00001122', 'Zhao', 'Fei', 1952)) db.insert('PERSON', ('00001123', 'Yuan', 'Du', 1967)) db.insert('PERSON', ('00001124', 'Jean-Paul', 'Rappeneau', 1932)) db.insert('PERSON', ('00001125', 'Gerard', 'Depardieu', 1948)) db.insert('PERSON', ('00001126', 'Anne', 'Brochet', 1966)) db.insert('PERSON', ('00001127', 'Rene', 'Cleitman', 1940)) db.insert('PERSON', ('00001128', 'Pierre', 'Lhomme', 1930)) db.insert('PERSON', ('00001129', 'Noelle', 'Boisson', 1942)) db.insert('PERSON', ('00001130', 'Franca', 'Squarciapion', 1943)) db.insert('PERSON', ('00001131', 'Diane', 'Keaton', 1946)) db.insert('PERSON', ('00001132', 'Robert', 'Rodriguez', 1968)) db.insert('PERSON', ('00001133', 'Carlos', 'Gallardo', 1966)) db.insert('PERSON', ('00001134', 'Consuelo', 'Gomez', 1958)) db.insert('PERSON', ('00001135', 'Lee', 'Tamahori', 1950)) db.insert('PERSON', ('00001136', 'Riwia', 'Brown', 1953)) db.insert('PERSON', ('00001137', 'Rena', 'Owen', 1960)) db.insert('PERSON', ('00001138', 'Temuera', 'Morrison', 1961)) db.insert('PERSON', ('00001139', 'Robin', 'Scholes', 1965)) db.insert('PERSON', ('00001140', 'Stuart', 'Dryburgh', 1952)) db.insert('PERSON', ('00001141', 'D.Michael', 'Horton', 1958)) db.insert('PERSON', ('00001142', 'Don', 'Selwyn', 1960)) db.insert('PERSON', ('00001143', 'Antonia', 'Bird', 1963)) db.insert('PERSON', ('00001144', 'Jimmy', 'McGovern', 1949)) db.insert('PERSON', ('00001145', 'Linus', 'Roache', 1964)) db.insert('PERSON', ('00001146', 'Tom', 'Wilkinson', 1959)) db.insert('PERSON', ('00001147', 'George', 'Faber', 1961)) db.insert('PERSON', ('00001148', 'Fred', 'Tammes', 1963)) db.insert('PERSON', ('00001149', 'Susan', 'Spivey', 1957)) db.insert('PERSON', ('00001150', 'Janet', 'Goddard', 1965)) db.insert('PERSON', ('00001151', 'Allan', 'Moyle', 1947)) db.insert('PERSON', ('00001152', 'Christian', 'Slater', 1969)) db.insert('PERSON', ('00001153', 'Samantha', 'Mathis', 1970)) db.insert('PERSON', ('00001154', 'Sandy', 'Stern', 1968)) db.insert('PERSON', ('00001155', 'Walt', 'Lloyd', 1972)) db.insert('PERSON', ('00001156', 'Larry', 'Bock', 1962)) db.insert('PERSON', ('00001157', 'Judith', 'Holstra', 1964)) db.insert('PERSON', ('00001158', 'Jeremiah S.', 'Chechik', 1962)) db.insert('PERSON', ('00001159', 'Barry', 'Berman', 1957)) db.insert('PERSON', ('00001160', 'Johnny', 'Depp', 1963)) db.insert('PERSON', ('00001161', 'Mary', 'Masterson', 1966)) db.insert('PERSON', ('00001162', 'John', 'Schwartzman', 1965)) db.insert('PERSON', ('00001163', 'Carol', 'Littleton', 1957)) db.insert('PERSON', ('00001164', 'Risa', 'Garcia', 1956)) db.insert('PERSON', ('00001165', 'Fred', 'Schepisi', 1939)) db.insert('PERSON', ('00001166', 'John', 'Guare', 1938)) db.insert('PERSON', ('00001167', 'Stockard', 'Channing', 1944)) db.insert('PERSON', ('00001168', 'Will', 'Smith', 1968)) db.insert('PERSON', ('00001169', 'Donald', 'Sutherland', 1935)) db.insert('PERSON', ('00001170', 'Ian', 'Baker', 1947)) db.insert('PERSON', ('00001171', 'Peter', 'Honess', 1951)) db.insert('PERSON', ('00001172', 'Ellen', 'Chenoweth', 1962)) db.insert('PERSON', ('00001173', 'Kaige', 'Chen', 1952)) db.insert('PERSON', ('00001174', 'Lillian', 'Lee', 1954)) db.insert('PERSON', ('00001175', 'Leslie', 'Cheung', 1956)) db.insert('PERSON', ('00001176', 'Fengyi', 'Zhang', 1965)) db.insert('PERSON', ('00001177', 'Feng', 'Hsu', 1948)) db.insert('PERSON', ('00001178', 'Xiaonan', 'Pei', 1966)) db.insert('PERSON', ('00001179', 'Wolfgang', 'Petersen', 1941)) db.insert('PERSON', ('00001180', 'Jeff', 'Maguire', 1948)) db.insert('PERSON', ('00001181', 'Clint', 'Eastwood', 1930)) db.insert('PERSON', ('00001182', 'John', 'Malkovich', 1953)) db.insert('PERSON', ('00001183', 'Rene', 'Russo', 1954)) db.insert('PERSON', ('00001184', 'John', 'Bailey', 1942)) db.insert('PERSON', ('00001185', 'Janet', 'Hirshenson', 1950)) db.insert('PERSON', ('00001186', 'Peter', 'Jackson', 1961)) db.insert('PERSON', ('00001187', 'Melanie', 'Lynskey', 1977)) db.insert('PERSON', ('00001188', 'Kate', 'Winslet', 1975)) db.insert('PERSON', ('00001189', 'Alun', 'Bollinger', 1963)) db.insert('PERSON', ('00001190', 'Jamie', 'Selkirk', 1966)) db.insert('PERSON', ('00001191', 'Steve', 'James', 1957)) db.insert('PERSON', ('00001192', 'William', 'Gates', 1968)) db.insert('PERSON', ('00001193', 'Arthur', 'Agee', 1956)) db.insert('PERSON', ('00001194', 'Peter', 'Gilbert', 1963)) db.insert('PERSON', ('00001195', 'David', 'Fincher', 1962)) db.insert('PERSON', ('00001196', 'Andrew', 'Walker', 1964)) db.insert('PERSON', ('00001197', 'Morgan', 'Freeman', 1937)) db.insert('PERSON', ('00001198', 'Brad', 'Pitt', 1963)) db.insert('PERSON', ('00001199', 'Darius', 'Khondji', 1956)) db.insert('PERSON', ('00001200', 'Richard', 'Francis-Bruce', 1948)) db.insert('PERSON', ('00001201', 'Kerry', 'Barden', 1951)) db.insert('PERSON', ('00001202', 'Danny', 'Boyle', 1956)) db.insert('PERSON', ('00001203', 'John', 'Hodge', 1964)) db.insert('PERSON', ('00001204', 'Kerry', 'Fox', 1966)) db.insert('PERSON', ('00001205', 'Christopher', 'Eccleston', 1964)) db.insert('PERSON', ('00001206', 'Ewan', 'McGregor', 1971)) db.insert('PERSON', ('00001207', 'Andrew', 'Macdonald', 1966)) db.insert('PERSON', ('00001208', 'Brian', 'Tufano', 1968)) db.insert('PERSON', ('00001209', 'Masahiro', 'Hirakubo', 1964)) db.insert('PERSON', ('00001210', 'Lawrence', 'Kasdan', 1949)) db.insert('PERSON', ('00001211', 'Adam', 'Brooks', 1956)) db.insert('PERSON', ('00001212', 'Meg', 'Ryan', 1961)) db.insert('PERSON', ('00001213', 'Kevin', 'Kline', 1947)) db.insert('PERSON', ('00001214', 'Timothy', 'Hutton', 1960)) db.insert('PERSON', ('00001215', 'Owen', 'Roizman', 1936)) db.insert('PERSON', ('00001216', 'Joe', 'Hutshing', 1947)) db.insert('PERSON', ('00001217', 'Timothy', 'Balme', 1964)) db.insert('PERSON', ('00001218', 'Diana', 'Penalver', 1967)) db.insert('PERSON', ('00001219', 'Elizabeth', 'Moody', 1957)) db.insert('PERSON', ('00001220', 'Murray', 'Milne', 1959)) db.insert('PERSON', ('00001221', 'Kevin', 'Smith', 1970)) db.insert('PERSON', ('00001222', 'Marilyn', 'Ghigliotti', 1971)) db.insert('PERSON', ('00001223', 'Lisa', 'Spoonhauer', 1968)) db.insert('PERSON', ('00001224', 'David', 'Klein', 1965)) db.insert('PERSON', ('00001225', 'Ron', 'Howard', 1954)) db.insert('PERSON', ('00001226', 'Jim', 'Lovell', 1928)) db.insert('PERSON', ('00001227', 'Tom', 'Hanks', 1956)) db.insert('PERSON', ('00001228', 'Bill', 'Paxton', 1955)) db.insert('PERSON', ('00001229', 'Kevin', 'Bacon', 1958)) db.insert('PERSON', ('00001230', 'Brian', 'Grazer', 1951)) db.insert('PERSON', ('00001231', 'Dean', 'Cundey', 1945)) db.insert('PERSON', ('00001232', 'Quentin', 'Tarantino', 1963)) db.insert('PERSON', ('00001233', 'Harvey', 'Keitel', 1939)) db.insert('PERSON', ('00001234', 'Tom', 'Roth', 1961)) db.insert('PERSON', ('00001235', 'Michael', 'Madsen', 1958)) db.insert('PERSON', ('00001236', 'Sally', 'Menke', 1962)) db.insert('PERSON', ('00001237', 'Ronnie', 'Yeskel', 1967)) db.insert('PERSON', ('00001238', 'John', 'Travolta', 1954)) db.insert('PERSON', ('00001239', 'Samuel', 'Jackson', 1948)) db.insert('PERSON', ('00001240', 'Lawrence', 'Bender', 1958)) db.insert('PERSON', ('00001241', 'Ang', 'Lee', 1954)) db.insert('PERSON', ('00001242', 'Sihung', 'Lung', 1968)) db.insert('PERSON', ('00001243', 'Yu-Wen', 'Wang', 1969)) db.insert('PERSON', ('00001244', 'Chien-lien', 'Wu', 1968)) db.insert('PERSON', ('00001245', 'Kong', 'Hsu', 1956)) db.insert('PERSON', ('00001246', 'Jong', 'Lin', 1969)) db.insert('PERSON', ('00001247', 'Tim', 'Squyres', 1962)) db.insert('PERSON', ('00001248', 'Robert', 'Altman', 1925)) db.insert('PERSON', ('00001249', 'Andie', 'MacDowell', 1958)) db.insert('PERSON', ('00001250', 'Bruce', 'Davison', 1946)) db.insert('PERSON', ('00001251', 'Jack', 'Lemmon', 1925)) db.insert('PERSON', ('00001252', 'Cary', 'Brokaw', 1951)) db.insert('PERSON', ('00001253', 'Geraldine', 'Peroni', 1954)) db.insert('PERSON', ('00001254', 'Edward', 'Zwick', 1952)) db.insert('PERSON', ('00001255', 'Jim', 'Harrison', 1937)) db.insert('PERSON', ('00001256', 'Anthony', 'Hopkins', 1937)) db.insert('PERSON', ('00001257', 'Aidan', 'Quinn', 1959)) db.insert('PERSON', ('00001258', 'John', 'Toll', 1962)) db.insert('PERSON', ('00001259', 'Steven', 'Rosenblum', 1963)) db.insert('PERSON', ('00001260', 'Mary', 'Colquhoun', 1939)) db.insert('PERSON', ('00001261', 'Oliver', 'Stone', 1946)) db.insert('PERSON', ('00001262', 'Woody', 'Harrelson', 1961)) db.insert('PERSON', ('00001263', 'Juliette', 'Lewis', 1973)) db.insert('PERSON', ('00001264', 'Robert', 'Richardson', 1964)) db.insert('PERSON', ('00001265', 'Brain', 'Berdan', 1958)) db.insert('PERSON', ('00001266', 'Richard', 'Hornung', 1950)) db.insert('PERSON', ('00001267', 'John', 'Carpenter', 1948)) db.insert('PERSON', ('00001268', 'Michael', 'Luca', 1951)) db.insert('PERSON', ('00001269', 'Sam', 'Neil', 1947)) db.insert('PERSON', ('00001270', 'Jurgen', 'Prochnow', 1941)) db.insert('PERSON', ('00001271', 'Julie', 'Carmen', 1960)) db.insert('PERSON', ('00001272', 'Gary', 'Kibbe', 1954)) db.insert('PERSON', ('00001273', 'Edward', 'Warschilka', 1949)) db.insert('PERSON', ('00001274', 'Robert', 'Zemeckis', 1952)) db.insert('PERSON', ('00001275', 'Winston', 'Groom', 1944)) db.insert('PERSON', ('00001276', 'Robin', 'Wright', 1966)) db.insert('PERSON', ('00001277', 'Gary', 'Sinise', 1955)) db.insert('PERSON', ('00001278', 'Wendy', 'Finerman', 1953)) db.insert('PERSON', ('00001279', 'Don', 'Burgess', 1957)) db.insert('PERSON', ('00001280', 'Ellen', 'Lewis', 1961)) db.insert('PERSON', ('00001281', 'Denzel', 'Washington', 1954)) db.insert('PERSON', ('00001282', 'Angela', 'Bassett', 1958)) db.insert('PERSON', ('00001283', 'Barry', 'Brown', 1952)) db.insert('PERSON', ('00001284', 'Kenneth', 'Branagh', 1960)) db.insert('PERSON', ('00001285', 'Scott', 'Frank', 1960)) db.insert('PERSON', ('00001286', 'Emma', 'Thompson', 1959)) db.insert('PERSON', ('00001287', 'Lindsay', 'Doran', 1948)) db.insert('PERSON', ('00001288', 'Matthew', 'Leonetti', 1952)) db.insert('PERSON', ('00001289', 'Peter', 'Berger', 1955)) db.insert('PERSON', ('00001290', 'Gail', 'Levin', 1960)) db.insert('PERSON', ('00001291', 'Steven', 'Spielberg', 1946)) db.insert('PERSON', ('00001292', 'Michael', 'Crichton', 1942)) db.insert('PERSON', ('00001293', 'Laura', 'Dern', 1967)) db.insert('PERSON', ('00001294', 'Jeff', 'Goldblum', 1952)) db.insert('PERSON', ('00001295', 'Kathleen', 'Kennedy', 1947)) db.insert('PERSON', ('00001296', 'Michael', 'Kahn', 1924)) db.insert('PERSON', ('00001297', 'Amy', 'Heckerling', 1954)) db.insert('PERSON', ('00001298', 'Alicia', 'Silverston', 1976)) db.insert('PERSON', ('00001299', 'Stacey', 'Dash', 1966)) db.insert('PERSON', ('00001300', 'Brittany', 'Murphy', 1977)) db.insert('PERSON', ('00001301', 'Scott', 'Rudin', 1958)) db.insert('PERSON', ('00001302', 'Bill', 'Pope', 1961)) db.insert('PERSON', ('00001303', 'Debra', 'Chiate', 1970)) db.insert('PERSON', ('00001304', 'Marcia', 'Ross', 1969)) db.insert('PERSON', ('00001305', 'Richard', 'Attenborough', 1923)) db.insert('PERSON', ('00001306', 'William', 'Nicholson', 1948)) db.insert('PERSON', ('00001307', 'Debra', 'Winger', 1955)) db.insert('PERSON', ('00001308', 'Roddy', 'Maude-Roxby', 1930)) db.insert('PERSON', ('00001309', 'Roger', 'Pratt', 1947)) db.insert('PERSON', ('00001310', 'Lesley', 'Walker', 1956)) db.insert('PERSON', ('00001311', 'Lucy', 'Boulting', 1967)) db.insert('PERSON', ('00001312', 'Isabelle', 'Huppert', 1955)) db.insert('PERSON', ('00001313', 'Elina', 'Lowensohn', 1966)) db.insert('PERSON', ('00001314', 'Steven', 'Hamilton', 1968)) db.insert('PERSON', ('00001315', 'Billy', 'Hopkins', 1965)) db.insert('PERSON', ('00001316', 'Alexandra', 'Welker', 1959)) db.insert('PERSON', ('00001317', 'Martin', 'Scorsese', 1942)) db.insert('PERSON', ('00001318', 'Robert', 'Niro', 1943)) db.insert('PERSON', ('00001319', 'Ray', 'Liotta', 1955)) db.insert('PERSON', ('00001320', 'Joe', 'Pesci', 1943)) db.insert('PERSON', ('00001321', 'Irwin', 'Winkler', 1931)) db.insert('PERSON', ('00001322', 'Michael', 'Ballhaus', 1935)) db.insert('PERSON', ('00001323', 'Thelma', 'Schoonmaker', 1940)) db.insert('PERSON', ('00001324', 'Gillian', 'Armstrong', 1950)) db.insert('PERSON', ('00001325', 'Lousia', 'Alcott', 1832)) db.insert('PERSON', ('00001326', 'Gabriel', 'Byrne', 1950)) db.insert('PERSON', ('00001327', 'Trini', 'Alvarado', 1967)) db.insert('PERSON', ('00001328', 'Denise', 'DiNovi', 1955)) db.insert('PERSON', ('00001329', 'Geoffrey', 'Simpson', 1961)) db.insert('PERSON', ('00001330', 'Nicholas', 'Beauman', 1965)) db.insert('PERSON', ('00001331', 'Jon', 'Turteltaub', 1964)) db.insert('PERSON', ('00001332', 'Daniel', 'Sullivan', 1939)) db.insert('PERSON', ('00001333', 'Sandra', 'Bullock', 1964)) db.insert('PERSON', ('00001334', 'Bill', 'Pullman', 1953)) db.insert('PERSON', ('00001335', 'Roger', 'Birnbaum', 1954)) db.insert('PERSON', ('00001336', 'Bruce', 'Green', 1952)) db.insert('PERSON', ('00001337', 'Cathy', 'Sandrich', 1961))
model = """# Stochastic Simulation Algorithm input format R1: $pool > TF kTFsyn R2: TF > $pool kTFdeg*TF R3: TFactive > $pool kTFdeg*TFactive R4: TF > TFactive kActivate*TF R5: TFactive > TF kInactivate*TFactive R6: TFactive > mRNA + TFactive kmRNAsyn*(TFactive/(TFactive+kX)) R7: mRNA > $pool kmRNAdeg*mRNA R8: mRNA > Protein + mRNA kProteinsyn*mRNA R9: Protein > $pool kProteindeg*Protein # InitPar kTFsyn = 200 kTFdeg = 20 kActivate = 2000 kInactivate = 200 kX = 5 kmRNAsyn = 240 kmRNAdeg = 20 kProteinsyn = 400 kProteindeg = 2 # InitVar TF = 2 TFactive = 10 mRNA = 10 Protein = 220 """
model = '# Stochastic Simulation Algorithm input format\n\nR1:\n $pool > TF\n kTFsyn\nR2:\n TF > $pool\n kTFdeg*TF\nR3:\n TFactive > $pool\n kTFdeg*TFactive\nR4:\n TF > TFactive\n kActivate*TF \nR5: \n TFactive > TF\n kInactivate*TFactive\nR6:\n TFactive > mRNA + TFactive\n kmRNAsyn*(TFactive/(TFactive+kX))\nR7:\n mRNA > $pool\n kmRNAdeg*mRNA\nR8:\n mRNA > Protein + mRNA\n kProteinsyn*mRNA\nR9:\n Protein > $pool\n kProteindeg*Protein\n \n# InitPar\nkTFsyn = 200\nkTFdeg = 20\nkActivate = 2000\nkInactivate = 200\nkX = 5\nkmRNAsyn = 240\nkmRNAdeg = 20\nkProteinsyn = 400\nkProteindeg = 2\n\n# InitVar\nTF = 2\nTFactive = 10\nmRNA = 10\nProtein = 220\n'
class Solution: def assignBikes(self, W: List[List[int]], B: List[List[int]]) -> List[int]: ans, used = [-1] * len(W), set() for d, w, b in sorted([abs(W[i][0] - B[j][0]) + abs(W[i][1] - B[j][1]), i, j] for i in range(len(W)) for j in range(len(B))): if ans[w] == -1 and b not in used: ans[w] = b used.add(b) if len(used) == len(ans): break return ans
class Solution: def assign_bikes(self, W: List[List[int]], B: List[List[int]]) -> List[int]: (ans, used) = ([-1] * len(W), set()) for (d, w, b) in sorted(([abs(W[i][0] - B[j][0]) + abs(W[i][1] - B[j][1]), i, j] for i in range(len(W)) for j in range(len(B)))): if ans[w] == -1 and b not in used: ans[w] = b used.add(b) if len(used) == len(ans): break return ans
class OneLayerActiveScriptGen: def __init__(self, args): self.valid = args.split('|') pass def GenerateScript(self, arg2): if len(self.valid) == 1: #OK, this uses sub-layers Script = "for (i=0;i<app.activeDocument.layers.length;i++)\n" Script += "{\n" for vl in self.valid: Script += " lyr = app.activeDocument.layers[i];\n" Script += " if (lyr.name == '" + self.valid[0] + "') {" Script += " for (q=0;q<lyr.layers.length;q++) {\n" Script += " if (lyr.layers[q].name == '" + arg2 + "')\n" Script += " lyr.layers[q].visible = true;\n" Script += " else\n" Script += " lyr.layers[q].visible = false;\n" Script += " }; };\n" Script += "}\n" else: #This has a list of the layers we are going to use. Script = "for (i=0;i<app.activeDocument.layers.length;i++)\n" Script += "{\n" for vl in self.valid: Script += " if (app.activeDocument.layers[i].name == '" + vl + "') {\n" Script += " if (app.activeDocument.layers[i].name == '" + arg2 + "')\n" Script += " app.activeDocument.layers[i].visible = true;\n" Script += " else\n" Script += " app.activeDocument.layers[i].visible = false;\n" Script += " };\n" Script += "}\n" return Script
class Onelayeractivescriptgen: def __init__(self, args): self.valid = args.split('|') pass def generate_script(self, arg2): if len(self.valid) == 1: script = 'for (i=0;i<app.activeDocument.layers.length;i++)\n' script += '{\n' for vl in self.valid: script += ' lyr = app.activeDocument.layers[i];\n' script += " if (lyr.name == '" + self.valid[0] + "') {" script += ' for (q=0;q<lyr.layers.length;q++) {\n' script += " if (lyr.layers[q].name == '" + arg2 + "')\n" script += ' lyr.layers[q].visible = true;\n' script += ' else\n' script += ' lyr.layers[q].visible = false;\n' script += ' }; };\n' script += '}\n' else: script = 'for (i=0;i<app.activeDocument.layers.length;i++)\n' script += '{\n' for vl in self.valid: script += " if (app.activeDocument.layers[i].name == '" + vl + "') {\n" script += " if (app.activeDocument.layers[i].name == '" + arg2 + "')\n" script += ' app.activeDocument.layers[i].visible = true;\n' script += ' else\n' script += ' app.activeDocument.layers[i].visible = false;\n' script += ' };\n' script += '}\n' return Script
def downcase_keys(dict_): return {k.lower(): v for k, v in dict_.items()} def assert_aws4auth_in_headers(headers): lc_headers = downcase_keys(headers) assert 'authorization' in lc_headers assert 'x-amz-date' in lc_headers assert 'x-amz-content-sha256' in lc_headers auth_header = lc_headers.get('authorization') assert auth_header assert 'TESTKEY' in auth_header assert 'eu-west-1' in auth_header assert 'Signature=' in auth_header
def downcase_keys(dict_): return {k.lower(): v for (k, v) in dict_.items()} def assert_aws4auth_in_headers(headers): lc_headers = downcase_keys(headers) assert 'authorization' in lc_headers assert 'x-amz-date' in lc_headers assert 'x-amz-content-sha256' in lc_headers auth_header = lc_headers.get('authorization') assert auth_header assert 'TESTKEY' in auth_header assert 'eu-west-1' in auth_header assert 'Signature=' in auth_header
class MyHashSet: def __init__(self): """ Initialize your data structure here. """ self.n = 853 self.hashtable = [None] * self.n def add(self, key: int) -> None: idx = key % self.n if not self.hashtable[idx]: self.hashtable[idx] = BST(key) else: tree = self.hashtable[idx] if not tree.search(key): tree.insert(key) def remove(self, key: int) -> None: idx = key % self.n if not self.hashtable[idx]: return None else: tree = self.hashtable[idx] if tree.search(key): tree.delete(key) if tree.isNone(): # print(idx, self.hashtable[idx]) self.hashtable[idx] = None def contains(self, key: int) -> bool: """ Returns true if this set contains the specified element """ idx = key % self.n if not self.hashtable[idx]: return False else: tree = self.hashtable[idx] # if key in (43, 974, 856, 616): # print('Tree:', tree) # print('cur_key: {}, result: {}'.format(key, tree.search(key))) return tree.search(key) class TreeNode: def __init__(self, val): self.val = val self.left = None self.right = None class BST: def __init__(self, val): self.root = TreeNode(val) def search(self, val): """ Find val in BST return True if any node.val == val """ def helper(node, val): if not node: return False if node.val > val: return helper(node.left, val) elif node.val < val: return helper(node.right, val) else: return True return helper(self.root, val) def insert(self, val): """ insert node with val in the BST """ node = self.root while node.val != val: if node.val > val: if not node.left: node.left = TreeNode(val) node = node.left else: if not node.right: node.right = TreeNode(val) node = node.right def _successor(self, node): node = node.right while node.left: node = node.left return node def _predecessor(self, node): node = node.left while node.right: node = node.right return node def delete(self, val): """ delete the node with val in BST """ def helper(node, val): if node.val > val: node.left = helper(node.left, val) elif node.val < val: node.right = helper(node.right, val) else: if not node.left and not node.right: return None elif node.right: node.val = self._successor(node).val node.right = helper(node.right, node.val) else: node.val = self._predecessor(node).val node.left = helper(node.left, node.val) return node self.root = helper(self.root, val) def isNone(self): if self.root is None: return True return False def __repr__(self): res = [] def helper(node): if not node: return helper(node.left) res.append(str(node.val)) helper(node.right) helper(self.root) return ' '.join(res) # Your MyHashSet object will be instantiated and called as such: # obj = MyHashSet() # obj.add(key) # obj.remove(key) # param_3 = obj.contains(key)
class Myhashset: def __init__(self): """ Initialize your data structure here. """ self.n = 853 self.hashtable = [None] * self.n def add(self, key: int) -> None: idx = key % self.n if not self.hashtable[idx]: self.hashtable[idx] = bst(key) else: tree = self.hashtable[idx] if not tree.search(key): tree.insert(key) def remove(self, key: int) -> None: idx = key % self.n if not self.hashtable[idx]: return None else: tree = self.hashtable[idx] if tree.search(key): tree.delete(key) if tree.isNone(): self.hashtable[idx] = None def contains(self, key: int) -> bool: """ Returns true if this set contains the specified element """ idx = key % self.n if not self.hashtable[idx]: return False else: tree = self.hashtable[idx] return tree.search(key) class Treenode: def __init__(self, val): self.val = val self.left = None self.right = None class Bst: def __init__(self, val): self.root = tree_node(val) def search(self, val): """ Find val in BST return True if any node.val == val """ def helper(node, val): if not node: return False if node.val > val: return helper(node.left, val) elif node.val < val: return helper(node.right, val) else: return True return helper(self.root, val) def insert(self, val): """ insert node with val in the BST """ node = self.root while node.val != val: if node.val > val: if not node.left: node.left = tree_node(val) node = node.left else: if not node.right: node.right = tree_node(val) node = node.right def _successor(self, node): node = node.right while node.left: node = node.left return node def _predecessor(self, node): node = node.left while node.right: node = node.right return node def delete(self, val): """ delete the node with val in BST """ def helper(node, val): if node.val > val: node.left = helper(node.left, val) elif node.val < val: node.right = helper(node.right, val) elif not node.left and (not node.right): return None elif node.right: node.val = self._successor(node).val node.right = helper(node.right, node.val) else: node.val = self._predecessor(node).val node.left = helper(node.left, node.val) return node self.root = helper(self.root, val) def is_none(self): if self.root is None: return True return False def __repr__(self): res = [] def helper(node): if not node: return helper(node.left) res.append(str(node.val)) helper(node.right) helper(self.root) return ' '.join(res)
"""Useful literals""" TABLE_LEVEL_PG_STAT_USER_TABLES_COLUMNS = [ "relid", "schemaname", "relname", "seq_scan", "seq_tup_read", "idx_scan", "idx_tup_fetch", "n_tup_ins", "n_tup_upd", "n_tup_del", "n_tup_hot_upd", "n_live_tup", "n_dead_tup", "n_mod_since_analyze", "last_vacuum", "last_autovacuum", "last_analyze", "last_autoanalyze", "vacuum_count", "autovacuum_count", "analyze_count", "autoanalyze_count", ] TABLE_LEVEL_MYSQL_COLUMNS = [ "TABLE_SCHEMA", "TABLE_NAME", "TABLE_TYPE", "ENGINE", "ROW_FORMAT", "TABLE_ROWS", "AVG_ROW_LENGTH", "DATA_LENGTH", "INDEX_LENGTH", "DATA_FREE", ]
"""Useful literals""" table_level_pg_stat_user_tables_columns = ['relid', 'schemaname', 'relname', 'seq_scan', 'seq_tup_read', 'idx_scan', 'idx_tup_fetch', 'n_tup_ins', 'n_tup_upd', 'n_tup_del', 'n_tup_hot_upd', 'n_live_tup', 'n_dead_tup', 'n_mod_since_analyze', 'last_vacuum', 'last_autovacuum', 'last_analyze', 'last_autoanalyze', 'vacuum_count', 'autovacuum_count', 'analyze_count', 'autoanalyze_count'] table_level_mysql_columns = ['TABLE_SCHEMA', 'TABLE_NAME', 'TABLE_TYPE', 'ENGINE', 'ROW_FORMAT', 'TABLE_ROWS', 'AVG_ROW_LENGTH', 'DATA_LENGTH', 'INDEX_LENGTH', 'DATA_FREE']
class PersonError(Exception): def __init__(self, a, b): self.a = a self.b = b def print_obj(self): print(self.a, self.b) class Person: def __init__(self, name: str, surname: str, age: int, gender: str): try: if age <= 0: raise PersonError("Person age cant be a negative number:", age) elif type(age) != int: raise PersonError("Person age must be a integer:", age) elif type(name) != str: raise PersonError("Person name must be a string:", name) elif type(surname) != str: raise PersonError("Person surname must be a string:", surname) elif type(gender) != str: raise PersonError("Person gender Male or Female:", gender) else: self.__name = name self.__surname = surname self.__age = age self.__gender = gender except PersonError as pe: pe.print_obj() def __repr__(self): return "{} {} - {} {}".format(self.__name, self.__surname, self.__age, self.__gender) def get_name(self): return self.__name def set_name(self, other): try: if type(other) != str: raise PersonError("Person name must be a string:", other) else: self.__name = other except PersonError as pe: pe.print_obj() def get_surname(self): return self.__surname def set_surname(self, other): try: if type(other) != str: raise PersonError("Person surname must be a string", other) else: self.__surname = other except PersonError as pe: pe.print_obj() def get_age(self): return self.__age def set_age(self, value): try: if value < 0: raise PersonError("Person age cant be a negative number:", value) elif type(value) != int: raise PersonError("Person age must be a ineger:", value) else: self.__age = value except PersonError as pe: pe.print_obj() def get_gender(self): return self.__gender def set_gender(self, other): try: if type(other) != str: raise PersonError("Person gender must be Male or Female:", other) else: self.__gender = other except PersonError as pe: pe.print_obj()
class Personerror(Exception): def __init__(self, a, b): self.a = a self.b = b def print_obj(self): print(self.a, self.b) class Person: def __init__(self, name: str, surname: str, age: int, gender: str): try: if age <= 0: raise person_error('Person age cant be a negative number:', age) elif type(age) != int: raise person_error('Person age must be a integer:', age) elif type(name) != str: raise person_error('Person name must be a string:', name) elif type(surname) != str: raise person_error('Person surname must be a string:', surname) elif type(gender) != str: raise person_error('Person gender Male or Female:', gender) else: self.__name = name self.__surname = surname self.__age = age self.__gender = gender except PersonError as pe: pe.print_obj() def __repr__(self): return '{} {} - {} {}'.format(self.__name, self.__surname, self.__age, self.__gender) def get_name(self): return self.__name def set_name(self, other): try: if type(other) != str: raise person_error('Person name must be a string:', other) else: self.__name = other except PersonError as pe: pe.print_obj() def get_surname(self): return self.__surname def set_surname(self, other): try: if type(other) != str: raise person_error('Person surname must be a string', other) else: self.__surname = other except PersonError as pe: pe.print_obj() def get_age(self): return self.__age def set_age(self, value): try: if value < 0: raise person_error('Person age cant be a negative number:', value) elif type(value) != int: raise person_error('Person age must be a ineger:', value) else: self.__age = value except PersonError as pe: pe.print_obj() def get_gender(self): return self.__gender def set_gender(self, other): try: if type(other) != str: raise person_error('Person gender must be Male or Female:', other) else: self.__gender = other except PersonError as pe: pe.print_obj()
number_one = int(input("Enter a number: ")) number_two = int(input("Enter another number: ")) if (number_one > number_two): print("Number one is greater than number two") else: print("Number two is greater than number one")
number_one = int(input('Enter a number: ')) number_two = int(input('Enter another number: ')) if number_one > number_two: print('Number one is greater than number two') else: print('Number two is greater than number one')
# Exercise 1: Rewrite your pay computation to give the employee 1.5 times the hourly rate for hours worked above 40 hours. # Enter Hours: 45 # Enter Rate: 10 # Pay: 475.0 hours = int(input('Enter hours: ')); rate = float(input('Enter rate: ')); if hours > 40: rate = rate * 1.5 pay = hours * rate; print('Pay',pay);
hours = int(input('Enter hours: ')) rate = float(input('Enter rate: ')) if hours > 40: rate = rate * 1.5 pay = hours * rate print('Pay', pay)
n = int(input()) for i in range(n,0,-1): if n%i==0: n=i print(i, end=' ')
n = int(input()) for i in range(n, 0, -1): if n % i == 0: n = i print(i, end=' ')
############################################################### # Servers ############################################################### class ServerType(models.Model): name = models.CharField(max_length=40, verbose_name='Nome') type = models.CharField(max_length=40, verbose_name='Tipo') created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Servers - Models' verbose_name = 'Server - Model' def __unicode__(self): return self.name class Servers(models.Model): STATUS_CHOICES = ( ('outdated', 'Outdated'), ('dev', 'Development'), ('stolen', 'Stolen'), ('maint', 'Maintenance'), ('off', 'Offline'), ('on', 'Online'), ('stock', 'Stocked'), ) name = models.CharField(max_length=40, verbose_name='Name', unique=True) type = models.ForeignKey(ServerType) list = models.CharField(db_index=True, null=True, blank=True, max_length=200, help_text='IP/Name (space separated)', verbose_name="Host") status = models.CharField(max_length=11, choices=STATUS_CHOICES, verbose_name='Status', help_text='Status', default='on') mac = models.CharField(db_index=True, max_length=20, default='auto', verbose_name='Mac Address', blank=True, null=True) puppet_at = models.DateTimeField(null=True, verbose_name='Last Puppet Run') created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Servers' verbose_name = 'Server' def __unicode__(self): return self.name ############################################################### # Puppet ############################################################### class PuppetModule(models.Model): module = models.CharField(max_length=40, verbose_name='Module', unique=True) obs = models.CharField(max_length=80, verbose_name='Description') filtro = models.TextField(help_text='(CSV Regular Expression HOSTNAME). Ex. "saltop.*, fremontt\d{2}", "saltop*, !saltop01", ".*, !saltop01"', verbose_name='Filter', blank=True, null=True) created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, blank=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Puppet Models' verbose_name = 'Puppet Model' def __unicode__(self): return self.module class PuppetClass(models.Model): name = models.CharField(max_length=40, verbose_name='Nome', unique=True) servertype = models.ManyToManyField(ServerType, verbose_name='Groups', help_text='Grupos ao qual tem acesso.') modules = models.ManyToManyField(PuppetModule, verbose_name='Models', help_text='Models', blank=True, null=True) created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, blank=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Puppet Classes' verbose_name = 'Puppet Class' def __unicode__(self): return self.name
class Servertype(models.Model): name = models.CharField(max_length=40, verbose_name='Nome') type = models.CharField(max_length=40, verbose_name='Tipo') created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Servers - Models' verbose_name = 'Server - Model' def __unicode__(self): return self.name class Servers(models.Model): status_choices = (('outdated', 'Outdated'), ('dev', 'Development'), ('stolen', 'Stolen'), ('maint', 'Maintenance'), ('off', 'Offline'), ('on', 'Online'), ('stock', 'Stocked')) name = models.CharField(max_length=40, verbose_name='Name', unique=True) type = models.ForeignKey(ServerType) list = models.CharField(db_index=True, null=True, blank=True, max_length=200, help_text='IP/Name (space separated)', verbose_name='Host') status = models.CharField(max_length=11, choices=STATUS_CHOICES, verbose_name='Status', help_text='Status', default='on') mac = models.CharField(db_index=True, max_length=20, default='auto', verbose_name='Mac Address', blank=True, null=True) puppet_at = models.DateTimeField(null=True, verbose_name='Last Puppet Run') created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Servers' verbose_name = 'Server' def __unicode__(self): return self.name class Puppetmodule(models.Model): module = models.CharField(max_length=40, verbose_name='Module', unique=True) obs = models.CharField(max_length=80, verbose_name='Description') filtro = models.TextField(help_text='(CSV Regular Expression HOSTNAME). Ex. "saltop.*, fremontt\\d{2}", "saltop*, !saltop01", ".*, !saltop01"', verbose_name='Filter', blank=True, null=True) created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, blank=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Puppet Models' verbose_name = 'Puppet Model' def __unicode__(self): return self.module class Puppetclass(models.Model): name = models.CharField(max_length=40, verbose_name='Nome', unique=True) servertype = models.ManyToManyField(ServerType, verbose_name='Groups', help_text='Grupos ao qual tem acesso.') modules = models.ManyToManyField(PuppetModule, verbose_name='Models', help_text='Models', blank=True, null=True) created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name='Created') updated_at = models.DateTimeField(auto_now=True, verbose_name='Updated') expire_at = models.DateTimeField(null=True, blank=True, verbose_name='Expires') author = models.CharField(max_length=40, null=True) class Meta: verbose_name_plural = 'Puppet Classes' verbose_name = 'Puppet Class' def __unicode__(self): return self.name
#AUTOGENERATED! DO NOT EDIT! File to edit: dev/92_set_directories.ipynb (unless otherwise specified). __all__ = ['Dirs'] #Cell """ Directories for Image preparation training and testing """ class Dirs: def __init__(obj, basepath): obj.basepath = basepath obj.originImages = basepath + '/Original' obj.train = basepath + '/Fullsize/Train' obj.validTxtFile = basepath + '/Fullsize/valid.txt' obj.label = basepath + '/Fullsize/Label' obj.test = basepath + '/Fullsize/Test' obj.crop = basepath + '/Crop-200' obj.sizeCsvFile = basepath + '/file_size.csv' obj.cropValidTxtFile = basepath + '/Crop-200/valid.txt' obj.cropTrain = basepath + '/Crop-200/Train' obj.cropLabel = basepath + '/Crop-200/Label' obj.cropTest = basepath + '/Crop-200/Test' obj.model = basepath + '/models/' def __members(obj): return [attr for attr in dir(dirs) if not callable(getattr(dirs, attr)) and not attr.startswith("__")] @classmethod def all(cls): return [(name, value) for name, value in vars(cls).items() if not callable(name) and not name.startswith("__")] @classmethod def all2(cls): return [name for name, value in vars(cls).items()] def __repr__(obj): __vars = [attr for attr in dir(obj) if not callable(getattr(obj, attr)) and not attr.startswith("__")] print(__doc__) """Renders variables and their values on the terminal.""" max_name_len = max([len(k) for k in __vars]) max_val_len = max([len(str([k])) for k in __vars]) ret = '' for k in __vars: ret += f' {k:<{max_name_len}}: {getattr(obj, k):{max_val_len}} \n' return ret # def members(obj): # return [attr for attr in dir(dirs) if not callable(getattr(dirs, attr)) and not attr.startswith("__")] # # def printdirs(d): # ks = [k for k in d if (k[:2] != "__" and not callable(globals()[k]))] # printVariables(ks)
__all__ = ['Dirs'] '\nDirectories for Image preparation training and testing\n' class Dirs: def __init__(obj, basepath): obj.basepath = basepath obj.originImages = basepath + '/Original' obj.train = basepath + '/Fullsize/Train' obj.validTxtFile = basepath + '/Fullsize/valid.txt' obj.label = basepath + '/Fullsize/Label' obj.test = basepath + '/Fullsize/Test' obj.crop = basepath + '/Crop-200' obj.sizeCsvFile = basepath + '/file_size.csv' obj.cropValidTxtFile = basepath + '/Crop-200/valid.txt' obj.cropTrain = basepath + '/Crop-200/Train' obj.cropLabel = basepath + '/Crop-200/Label' obj.cropTest = basepath + '/Crop-200/Test' obj.model = basepath + '/models/' def __members(obj): return [attr for attr in dir(dirs) if not callable(getattr(dirs, attr)) and (not attr.startswith('__'))] @classmethod def all(cls): return [(name, value) for (name, value) in vars(cls).items() if not callable(name) and (not name.startswith('__'))] @classmethod def all2(cls): return [name for (name, value) in vars(cls).items()] def __repr__(obj): __vars = [attr for attr in dir(obj) if not callable(getattr(obj, attr)) and (not attr.startswith('__'))] print(__doc__) 'Renders variables and their values on the terminal.' max_name_len = max([len(k) for k in __vars]) max_val_len = max([len(str([k])) for k in __vars]) ret = '' for k in __vars: ret += f' {k:<{max_name_len}}: {getattr(obj, k):{max_val_len}} \n' return ret
class MyClass: def func_1(self): return "1" def func_2(func): return func() def main(): a=func_2(MyClass().func_1) print(a) if __name__ == '__main__': main()
class Myclass: def func_1(self): return '1' def func_2(func): return func() def main(): a = func_2(my_class().func_1) print(a) if __name__ == '__main__': main()
people = ['Conrad', 'Deepak', 'Heinrich', 'Tom'] ages = [29, 30, 34, 36] for position in range(len(people)): person = people[position] age = ages[position] print(person, age)
people = ['Conrad', 'Deepak', 'Heinrich', 'Tom'] ages = [29, 30, 34, 36] for position in range(len(people)): person = people[position] age = ages[position] print(person, age)
income_tax=0 id = int(input("Enter Employee id: ")) basic_salary = int(input("Enter monthly gross salary: ")) allowance = int(input("Enter allowance: ")) gross_salary = basic_salary+allowance if gross_salary<=5000: income_tax = 0 elif gross_salary<=10000: income_tax = 0.1 * gross_salary elif gross_salary<=20000: income_tax = 0.2 * gross_salary else : income_tax = 0.3 * gross_salary net_pay = gross_salary-income_tax print("Employee id: {}\nBasic Salary: {}\nAllowance: {}\nGross Pay: {}\nIncome Tax: {}\nNet pay: {}". format(id,basic_salary,allowance,gross_salary,income_tax,net_pay))
income_tax = 0 id = int(input('Enter Employee id: ')) basic_salary = int(input('Enter monthly gross salary: ')) allowance = int(input('Enter allowance: ')) gross_salary = basic_salary + allowance if gross_salary <= 5000: income_tax = 0 elif gross_salary <= 10000: income_tax = 0.1 * gross_salary elif gross_salary <= 20000: income_tax = 0.2 * gross_salary else: income_tax = 0.3 * gross_salary net_pay = gross_salary - income_tax print('Employee id: {}\nBasic Salary: {}\nAllowance: {}\nGross Pay: {}\nIncome Tax: {}\nNet pay: {}'.format(id, basic_salary, allowance, gross_salary, income_tax, net_pay))
# !/usr/bin/env python3 # Author: C.K # Email: [email protected] # DateTime:2021-11-16 21:11:11 # Description: class Solution: def findMaxLength(self, nums: List[int]) -> int: count = 0 result = 0 dict_seen = {0: -1} for i in range(len(nums)): n = nums[i] if n == 0: count -= 1 if n == 1: count += 1 if count in dict_seen: result = max(result, i - dict_seen[count]) else: dict_seen[count] = i return result if __name__ == "__main__": pass
class Solution: def find_max_length(self, nums: List[int]) -> int: count = 0 result = 0 dict_seen = {0: -1} for i in range(len(nums)): n = nums[i] if n == 0: count -= 1 if n == 1: count += 1 if count in dict_seen: result = max(result, i - dict_seen[count]) else: dict_seen[count] = i return result if __name__ == '__main__': pass
__author__ = 'prossi' class DISK: def __init__(self, obj, connection): self.__dict__ = dict(obj.attrib) self.connection = connection
__author__ = 'prossi' class Disk: def __init__(self, obj, connection): self.__dict__ = dict(obj.attrib) self.connection = connection
class ResponseMaker(object): __slot__ = ['error_verbose'] def __init__(self, error_verbose=True): self.error_verbose = error_verbose def get_response(self, result, request_id): return { "jsonrpc": "2.0", "result": result, "id": request_id } def get_error(self, code, message, data=None, request_id=None): result = { "jsonrpc": "2.0", "error": { "code": code, "message": message, }, "id": request_id } if self.error_verbose and data: result["error"]['data'] = data return result def get_parse_error(self, data=None, request_id=None): return self.get_error( -32700, 'Parse error', data=data, request_id=request_id ) def get_invalid_request(self, data=None, request_id=None): return self.get_error( -32600, 'Invalid Request', data=data, request_id=request_id ) def get_method_not_found(self, data=None, request_id=None): return self.get_error( -32601, 'Method not found', data=data, request_id=request_id ) def get_invalid_params(self, data=None, request_id=None): return self.get_error( -32602, 'Invalid params', data=data, request_id=request_id ) def get_internal_error(self, data=None, request_id=None): return self.get_error( -32603, 'Internal error', data=data, request_id=request_id ) def get_server_error(self, code, data, request_id=None): return self.get_error( code=code, message='Server error', data=data, request_id=request_id )
class Responsemaker(object): __slot__ = ['error_verbose'] def __init__(self, error_verbose=True): self.error_verbose = error_verbose def get_response(self, result, request_id): return {'jsonrpc': '2.0', 'result': result, 'id': request_id} def get_error(self, code, message, data=None, request_id=None): result = {'jsonrpc': '2.0', 'error': {'code': code, 'message': message}, 'id': request_id} if self.error_verbose and data: result['error']['data'] = data return result def get_parse_error(self, data=None, request_id=None): return self.get_error(-32700, 'Parse error', data=data, request_id=request_id) def get_invalid_request(self, data=None, request_id=None): return self.get_error(-32600, 'Invalid Request', data=data, request_id=request_id) def get_method_not_found(self, data=None, request_id=None): return self.get_error(-32601, 'Method not found', data=data, request_id=request_id) def get_invalid_params(self, data=None, request_id=None): return self.get_error(-32602, 'Invalid params', data=data, request_id=request_id) def get_internal_error(self, data=None, request_id=None): return self.get_error(-32603, 'Internal error', data=data, request_id=request_id) def get_server_error(self, code, data, request_id=None): return self.get_error(code=code, message='Server error', data=data, request_id=request_id)
def Sorting_array_data(A,i): B = sorted(A, key=lambda a_entry: a_entry[i]) return B
def sorting_array_data(A, i): b = sorted(A, key=lambda a_entry: a_entry[i]) return B
class Tracker(object): def __init__(self): self.trk = [] # currently tracked 2D Points self.trk_i = [] # self.pts[self.trk_i] are currently tracked self.pts = [] # list of all known object feature point positions self.kpt = [] # corresponding image coordinates for all points self.des = [] # corresponding descriptors for all points def detect(self, img): pass def solve(self, img, pt0, pt1, li_c): #R1, t1, o1, i_u, i_i = self.solve(img, pt0, pt1, li_c) E, _ = findEssentialMat( ... ) def track(self, img0, kpt0, des0, img1): # initialize containers o_pt0 = [] o_pt1 = [] # grab landmark points kpt_l = self.kpt[self.trk_i] #des_l = self.des[self.trk_i] # compute cross-frame match results # i_l0l, i_l00 = self.match(des_l, des0) # i_l1l, i_l11 = self.match(des_l, des1) # i_010, i_011 = self.match(des0, des1) # detect already registered feature points from kpt0 i_ll, i_l0 = self.match(self.des, des0) # TODO : global match (i.e. bounded search but not constrained to current track) # compute inverted match index m_l0 = np.ones(len(des0), dtype=np.bool) m_l0[i_l0] = False ni_l0 = np.where(m_l0)[0] # handle track recovery ... ril, ri0 = zip(*[(il, i0) for (il,i0) in zip(i_ll,i_l0) if il not in self.trk_i]) # track recovery # TODO : better way to get ^^ pt1_lr, idx_tr = self.flow(img0, img1, pt0[ri0]) self.kpt[ril[idx_tr]] = ptl_lr o_pt0.extend( pt0[ri0][idx_tr] ) o_pt1.extend( pt1_lr[idx_tr] ) # track previous landmark/keypoints ... ptl1, idx_tl = self.flow(img0, img1, kpt_l) self.kpt[idx_tl] = ptl1 o_pt0.extend( kpt_l[idx_tl] ) o_pt1.extend( ptl1[idx_tl] ) # track 'new' points ... pt1, idx_t = self.flow(img0, img1, pt0[ni_l0]) o_pt0.extend( pt0[ni_l0][idx_t] ) o_pt1.extend( pt1[idx_t] ) # does not insert to tracking cache yet # compute output indices o_li = np.r_[ril[idx_tr], self.trk_i[idx_tl]] o_li_c = np.s_[:len(idx_tr) + len(idx_tl)] # slice corresponding new descriptors o_des1 = des0[ni_l0][idx_t] # update tracking points and indices # NOTE : does not ADD points here. self.trk_i = np.intersect1d(self.trk_i, idx_tl) # subtract lost points self.trk_i = np.union1d(self.trk_i, ril[idx_tr]) # add recovered points << TODO : validate return o_pt0, o_pt1, o_li, o_li_c, o_des1 def track_v2(self, args): # detect already registered feature points from kpt0 # global match (i.e. bounded search but not constrained to current track) m_ml, m_m0 = self.match(self.des, des0, strict=True) m_ml, m_m0 = self.match(self.des, des0, strict=False) # TODO : global match (i.e. bounded search but not constrained to current track) mla = (~m_ml & ~self.trk ) # case a : new; unmatched mlb = ( m_ml & ~self.trk ) # case b : recovery; matched & untracked landmark mlc = ( m_ml & self.trk ) # case c : suppress; matched & tracked landmark mld = (~m_ml & self.trk ) # case d : old ; unmatched & tracked landmark m0a = ~m_m0 # new; unmatched m0b = m_m0 & ... # matched & untracked m0b = m_m0 & ... # matched & tracked # compute flows pt1a, m_ta = self.flow(img0, img1, pt0[m0a]) pt1b, m_tb = self.flow(img0, img1, pt0[m0b]) pt1c, m_tc = self.flow(img0, img1, ptl[mlc]) pt1d, m_td = self.flow(img0, img1, ptl[mld]) # case a : new pt0_n = pt0[m0a][m_ta] pt1_n = pt1a[m_ta] # case b : recovery pt0_r = pt0[m0b][m_tb] pt1_r = pt1b[m_tb] # case c : suppress pt0_s = ptl[mlc][m_tc] pt1_s = pt1c[m_tc] # case d : old pt0_o = ptl[mld][m_td] pt1_o = pt1d[m_td] # retrack recovery case for b # TODO : verify if msk assignments work self.trk[mlb][m_tb] = True self.kpt[mlb][m_tb] = pt1_r # untrack failure cases for c/d self.trk[mlc][~m_tc] = False self.trk[mld][~m_td] = False # update keypoints for d self.kpt[mld][m_td] = pt1_o # format output o_pt0 = np.concatenate([pt0_n, pt0_r, pt0_s, pt0_o], axis=0) o_pt1 = np.concatenate([pt1_n, pt1_r, pt1_s, pt1_o], axis=0) # TODO : forge o_li/ o_li_c from case b,c,d # TODO : forge des_new from case a # compute inverted match index m_l0 = np.ones(len(des0), dtype=np.bool) m_l0[i_l0] = False ni_l0 = np.where(m_l0)[0] # handle track recovery ... # TODO : better way to get ^^ pt1_lr, idx_tr = self.flow(img0, img1, pt0[ri0]) self.kpt[ril[idx_tr]] = ptl_lr o_pt0.extend( pt0[ri0][idx_tr] ) o_pt1.extend( pt1_lr[idx_tr] ) # track previous landmark/keypoints ... ptl1, idx_tl = self.flow(img0, img1, kpt_l) self.kpt[idx_tl] = ptl1 o_pt0.extend( kpt_l[idx_tl] ) o_pt1.extend( ptl1[idx_tl] ) # track 'new' points ... pt1, idx_t = self.flow(img0, img1, pt0[ni_l0]) o_pt0.extend( pt0[ni_l0][idx_t] ) o_pt1.extend( pt1[idx_t] ) # does not insert to tracking cache yet # compute output indices o_li = np.r_[ril[idx_tr], self.trk_i[idx_tl]] o_li_c = np.s_[:len(idx_tr) + len(idx_tl)] # slice corresponding new descriptors o_des1 = des0[ni_l0][idx_t] # update tracking points and indices # NOTE : does not ADD points here. self.trk_i = np.intersect1d(self.trk_i, idx_tl) # subtract lost points self.trk_i = np.union1d(self.trk_i, ril[idx_tr]) # add recovered points << TODO : validate return o_pt0, o_pt1, o_li, o_li_c, o_des1 def __call__(self, img): img1 = undistort(img) kpt1, des1 = self.detect(img1) self.hist.append( [img1, kpt1, des1] ) # query history img0, kpt0, des0 = self.hist[-2] # track old + new points # such that self.pts[li] = pt0[li_c] = pt1[li_c] pt0, pt1, li, li_c, des_new = self.track( img0, kpt0, des0, img1, kpt1, des1) # compute current pose and new object points # i_u = indices that are good to update # i_i = indices that are good to insert R1, t1, o1, i_u, i_i = self.solve(img, pt0, pt1, li_c) # update old points with new position self.pts[li].update( o1[i_u] ) # insert new points msk_i = np.ones(len(self.pts), dtype=np.bool) # insert mask msk_i[li_c] = False # do not insert previous landmarks again prv_size = len(self.pts) self.pts.extend(o1[i_i]) self.kpt.extend(pt1[msk_i][i_i]) self.des.extend(des_new[i_i]) new_size = len(self.pts) self.trk_i.extend( np.arange(prv_size, new_size) )
class Tracker(object): def __init__(self): self.trk = [] self.trk_i = [] self.pts = [] self.kpt = [] self.des = [] def detect(self, img): pass def solve(self, img, pt0, pt1, li_c): (e, _) = find_essential_mat(...) def track(self, img0, kpt0, des0, img1): o_pt0 = [] o_pt1 = [] kpt_l = self.kpt[self.trk_i] (i_ll, i_l0) = self.match(self.des, des0) m_l0 = np.ones(len(des0), dtype=np.bool) m_l0[i_l0] = False ni_l0 = np.where(m_l0)[0] (ril, ri0) = zip(*[(il, i0) for (il, i0) in zip(i_ll, i_l0) if il not in self.trk_i]) (pt1_lr, idx_tr) = self.flow(img0, img1, pt0[ri0]) self.kpt[ril[idx_tr]] = ptl_lr o_pt0.extend(pt0[ri0][idx_tr]) o_pt1.extend(pt1_lr[idx_tr]) (ptl1, idx_tl) = self.flow(img0, img1, kpt_l) self.kpt[idx_tl] = ptl1 o_pt0.extend(kpt_l[idx_tl]) o_pt1.extend(ptl1[idx_tl]) (pt1, idx_t) = self.flow(img0, img1, pt0[ni_l0]) o_pt0.extend(pt0[ni_l0][idx_t]) o_pt1.extend(pt1[idx_t]) o_li = np.r_[ril[idx_tr], self.trk_i[idx_tl]] o_li_c = np.s_[:len(idx_tr) + len(idx_tl)] o_des1 = des0[ni_l0][idx_t] self.trk_i = np.intersect1d(self.trk_i, idx_tl) self.trk_i = np.union1d(self.trk_i, ril[idx_tr]) return (o_pt0, o_pt1, o_li, o_li_c, o_des1) def track_v2(self, args): (m_ml, m_m0) = self.match(self.des, des0, strict=True) (m_ml, m_m0) = self.match(self.des, des0, strict=False) mla = ~m_ml & ~self.trk mlb = m_ml & ~self.trk mlc = m_ml & self.trk mld = ~m_ml & self.trk m0a = ~m_m0 m0b = m_m0 & ... m0b = m_m0 & ... (pt1a, m_ta) = self.flow(img0, img1, pt0[m0a]) (pt1b, m_tb) = self.flow(img0, img1, pt0[m0b]) (pt1c, m_tc) = self.flow(img0, img1, ptl[mlc]) (pt1d, m_td) = self.flow(img0, img1, ptl[mld]) pt0_n = pt0[m0a][m_ta] pt1_n = pt1a[m_ta] pt0_r = pt0[m0b][m_tb] pt1_r = pt1b[m_tb] pt0_s = ptl[mlc][m_tc] pt1_s = pt1c[m_tc] pt0_o = ptl[mld][m_td] pt1_o = pt1d[m_td] self.trk[mlb][m_tb] = True self.kpt[mlb][m_tb] = pt1_r self.trk[mlc][~m_tc] = False self.trk[mld][~m_td] = False self.kpt[mld][m_td] = pt1_o o_pt0 = np.concatenate([pt0_n, pt0_r, pt0_s, pt0_o], axis=0) o_pt1 = np.concatenate([pt1_n, pt1_r, pt1_s, pt1_o], axis=0) m_l0 = np.ones(len(des0), dtype=np.bool) m_l0[i_l0] = False ni_l0 = np.where(m_l0)[0] (pt1_lr, idx_tr) = self.flow(img0, img1, pt0[ri0]) self.kpt[ril[idx_tr]] = ptl_lr o_pt0.extend(pt0[ri0][idx_tr]) o_pt1.extend(pt1_lr[idx_tr]) (ptl1, idx_tl) = self.flow(img0, img1, kpt_l) self.kpt[idx_tl] = ptl1 o_pt0.extend(kpt_l[idx_tl]) o_pt1.extend(ptl1[idx_tl]) (pt1, idx_t) = self.flow(img0, img1, pt0[ni_l0]) o_pt0.extend(pt0[ni_l0][idx_t]) o_pt1.extend(pt1[idx_t]) o_li = np.r_[ril[idx_tr], self.trk_i[idx_tl]] o_li_c = np.s_[:len(idx_tr) + len(idx_tl)] o_des1 = des0[ni_l0][idx_t] self.trk_i = np.intersect1d(self.trk_i, idx_tl) self.trk_i = np.union1d(self.trk_i, ril[idx_tr]) return (o_pt0, o_pt1, o_li, o_li_c, o_des1) def __call__(self, img): img1 = undistort(img) (kpt1, des1) = self.detect(img1) self.hist.append([img1, kpt1, des1]) (img0, kpt0, des0) = self.hist[-2] (pt0, pt1, li, li_c, des_new) = self.track(img0, kpt0, des0, img1, kpt1, des1) (r1, t1, o1, i_u, i_i) = self.solve(img, pt0, pt1, li_c) self.pts[li].update(o1[i_u]) msk_i = np.ones(len(self.pts), dtype=np.bool) msk_i[li_c] = False prv_size = len(self.pts) self.pts.extend(o1[i_i]) self.kpt.extend(pt1[msk_i][i_i]) self.des.extend(des_new[i_i]) new_size = len(self.pts) self.trk_i.extend(np.arange(prv_size, new_size))
# Write an efficient program to find the sum of contiguous subarray within # a one-dimensional array of numbers which has the largest sum. def max_sum_kadane(nums: list) -> int: # kadane's algorithm max_so_far = max_ending_here = 0 for value in nums: max_ending_here = max(max_ending_here + value, 0) if max_ending_here > 0: max_so_far = max(max_so_far, max_ending_here) return max_so_far def max_sum_print_subarray(nums: list) -> int: start = s = 0 end = -1 max_so_far = max_ending_here = 0 for index, value in enumerate(nums): max_ending_here += value if max_ending_here > max_so_far: start = s end = index max_so_far = max_ending_here if max_ending_here < 0: max_ending_here = 0 s = index + 1 return nums[start: end + 1] if __name__ == "__main__": assert max_sum_kadane([-13, -3, -25, -20, -3, -16, -23, -12, -5, -22, -15, -4, -7]) == 0 assert max_sum_print_subarray([-13, -3, -25, -20, -3, -16, -23, -12, -5, -22, -15, -4, -7]) == [] assert max_sum_kadane([-2, -3, 4, -1, -2, 1, 5, -3]) == 7 assert max_sum_print_subarray([-2, -3, 4, -1, -2, 1, 5, -3]) == [4, -1, -2, 1, 5]
def max_sum_kadane(nums: list) -> int: max_so_far = max_ending_here = 0 for value in nums: max_ending_here = max(max_ending_here + value, 0) if max_ending_here > 0: max_so_far = max(max_so_far, max_ending_here) return max_so_far def max_sum_print_subarray(nums: list) -> int: start = s = 0 end = -1 max_so_far = max_ending_here = 0 for (index, value) in enumerate(nums): max_ending_here += value if max_ending_here > max_so_far: start = s end = index max_so_far = max_ending_here if max_ending_here < 0: max_ending_here = 0 s = index + 1 return nums[start:end + 1] if __name__ == '__main__': assert max_sum_kadane([-13, -3, -25, -20, -3, -16, -23, -12, -5, -22, -15, -4, -7]) == 0 assert max_sum_print_subarray([-13, -3, -25, -20, -3, -16, -23, -12, -5, -22, -15, -4, -7]) == [] assert max_sum_kadane([-2, -3, 4, -1, -2, 1, 5, -3]) == 7 assert max_sum_print_subarray([-2, -3, 4, -1, -2, 1, 5, -3]) == [4, -1, -2, 1, 5]
class Runtime: """Encapsulates the runtime state of execution itself, excluding I/O.""" def __init__(self, program, env): self.program = program self.env = env
class Runtime: """Encapsulates the runtime state of execution itself, excluding I/O.""" def __init__(self, program, env): self.program = program self.env = env
# -*- coding: utf-8 -*- """ Created on Thu Jan 3 15:54:59 2019 @author: janej """ print('name:'+__name__) print('package:'+__package__) print('doc:'+__doc__) print('file:'+__file__)
""" Created on Thu Jan 3 15:54:59 2019 @author: janej """ print('name:' + __name__) print('package:' + __package__) print('doc:' + __doc__) print('file:' + __file__)
# Copyright 2013 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. { 'variables': { 'chromium_code': 1, 'variables': { 'version_py_path': '<(DEPTH)/build/util/version.py', 'version_path': 'VERSION', }, 'version_py_path': '<(version_py_path) -f', 'version_path': '<(version_path)', }, 'includes': [ '../build/util/version.gypi', ], 'targets': [ { 'target_name': 'cloud_print_version_resources', 'type': 'none', 'variables': { 'output_dir': 'cloud_print', 'branding_path': '<(DEPTH)/chrome/app/theme/<(branding_path_component)/BRANDING', 'template_input_path': '../chrome/app/chrome_version.rc.version', 'extra_variable_files_arguments': [ '-f', 'BRANDING' ], 'extra_variable_files': [ 'BRANDING' ], # NOTE: matches that above }, 'direct_dependent_settings': { 'include_dirs': [ '<(SHARED_INTERMEDIATE_DIR)/<(output_dir)', ], }, 'sources': [ 'service/win/cloud_print_service_exe.ver', 'service/win/cloud_print_service_config_exe.ver', 'service/win/cloud_print_service_setup_exe.ver', 'virtual_driver/win/gcp_portmon64_dll.ver', 'virtual_driver/win/gcp_portmon_dll.ver', 'virtual_driver/win/install/virtual_driver_setup_exe.ver', ], 'includes': [ '../chrome/version_resource_rules.gypi', ], }, { 'target_name': 'cloud_print_version_header', 'type': 'none', 'hard_dependency': 1, 'actions': [ { 'action_name': 'version_header', 'variables': { 'branding_path': '<(DEPTH)/chrome/app/theme/<(branding_path_component)/BRANDING', 'output_dir': 'cloud_print', 'lastchange_path': '<(DEPTH)/build/util/LASTCHANGE', }, 'direct_dependent_settings': { 'include_dirs': [ '<(SHARED_INTERMEDIATE_DIR)/<(output_dir)', ], }, 'inputs': [ '<(version_path)', '<(branding_path)', '<(lastchange_path)', '<(DEPTH)/chrome/version.h.in', 'BRANDING', ], 'outputs': [ '<(SHARED_INTERMEDIATE_DIR)/<(output_dir)/version.h', ], 'action': [ 'python', '<(version_py_path)', '-f', '<(version_path)', '-f', '<(branding_path)', '-f', '<(lastchange_path)', '-f', 'BRANDING', '<(DEPTH)/chrome/version.h.in', '<@(_outputs)', ], 'message': 'Generating version header file: <@(_outputs)', }, ], }, ], }
{'variables': {'chromium_code': 1, 'variables': {'version_py_path': '<(DEPTH)/build/util/version.py', 'version_path': 'VERSION'}, 'version_py_path': '<(version_py_path) -f', 'version_path': '<(version_path)'}, 'includes': ['../build/util/version.gypi'], 'targets': [{'target_name': 'cloud_print_version_resources', 'type': 'none', 'variables': {'output_dir': 'cloud_print', 'branding_path': '<(DEPTH)/chrome/app/theme/<(branding_path_component)/BRANDING', 'template_input_path': '../chrome/app/chrome_version.rc.version', 'extra_variable_files_arguments': ['-f', 'BRANDING'], 'extra_variable_files': ['BRANDING']}, 'direct_dependent_settings': {'include_dirs': ['<(SHARED_INTERMEDIATE_DIR)/<(output_dir)']}, 'sources': ['service/win/cloud_print_service_exe.ver', 'service/win/cloud_print_service_config_exe.ver', 'service/win/cloud_print_service_setup_exe.ver', 'virtual_driver/win/gcp_portmon64_dll.ver', 'virtual_driver/win/gcp_portmon_dll.ver', 'virtual_driver/win/install/virtual_driver_setup_exe.ver'], 'includes': ['../chrome/version_resource_rules.gypi']}, {'target_name': 'cloud_print_version_header', 'type': 'none', 'hard_dependency': 1, 'actions': [{'action_name': 'version_header', 'variables': {'branding_path': '<(DEPTH)/chrome/app/theme/<(branding_path_component)/BRANDING', 'output_dir': 'cloud_print', 'lastchange_path': '<(DEPTH)/build/util/LASTCHANGE'}, 'direct_dependent_settings': {'include_dirs': ['<(SHARED_INTERMEDIATE_DIR)/<(output_dir)']}, 'inputs': ['<(version_path)', '<(branding_path)', '<(lastchange_path)', '<(DEPTH)/chrome/version.h.in', 'BRANDING'], 'outputs': ['<(SHARED_INTERMEDIATE_DIR)/<(output_dir)/version.h'], 'action': ['python', '<(version_py_path)', '-f', '<(version_path)', '-f', '<(branding_path)', '-f', '<(lastchange_path)', '-f', 'BRANDING', '<(DEPTH)/chrome/version.h.in', '<@(_outputs)'], 'message': 'Generating version header file: <@(_outputs)'}]}]}
''' Steven Kyritsis CS100 2021F Section 031 HW 08, November 5, 2021 ''' #1 def two_words(length, first_letter): while True: word1 = input("Please enter a " + str(length) + "-letter word please: ") if len(word1) == length: break while True: word2 = input("Please enter a word beginnning with the letter " + str(first_letter) + " please: ") if word2[0].lower() == first_letter.lower(): break
""" Steven Kyritsis CS100 2021F Section 031 HW 08, November 5, 2021 """ def two_words(length, first_letter): while True: word1 = input('Please enter a ' + str(length) + '-letter word please: ') if len(word1) == length: break while True: word2 = input('Please enter a word beginnning with the letter ' + str(first_letter) + ' please: ') if word2[0].lower() == first_letter.lower(): break
X, Y, A, B = map(int, input().split()) ans = 0 while True: if X*A < B and X*A < Y: X *= A ans += 1 else: break ans += (Y-X-1)//B print(ans)
(x, y, a, b) = map(int, input().split()) ans = 0 while True: if X * A < B and X * A < Y: x *= A ans += 1 else: break ans += (Y - X - 1) // B print(ans)
# Copyright (C) 2016 Google Inc. # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> scope = "Private Program" description = """ User with authorization to peform administrative tasks such as associating users to roles within the scope of of a program.<br/><br/>When a person creates a program they are automatically given the ProgramOwner role. This allows them to Edit, Delete, or Map objects to the Program. It also allows them to add people and assign them roles when their programs are private. ProgramOwner is the most powerful role. """ permissions = { "read": [ "ObjectDocument", "ObjectPerson", "Program", "ProgramControl", "Relationship", "UserRole", "Context", ], "create": [ "ObjectDocument", "ObjectPerson", "ProgramControl", "Relationship", "UserRole", "Audit", ], "view_object_page": [ "__GGRC_ALL__" ], "update": [ "ObjectDocument", "ObjectPerson", "Program", "ProgramControl", "Relationship", "UserRole" ], "delete": [ "ObjectDocument", "ObjectPerson", "Program", "ProgramControl", "Relationship", "UserRole", ] }
scope = 'Private Program' description = '\n User with authorization to peform administrative tasks such as associating\n users to roles within the scope of of a program.<br/><br/>When a person\n creates a program they are automatically given the ProgramOwner role. This\n allows them to Edit, Delete, or Map objects to the Program. It also allows\n them to add people and assign them roles when their programs are private.\n ProgramOwner is the most powerful role.\n ' permissions = {'read': ['ObjectDocument', 'ObjectPerson', 'Program', 'ProgramControl', 'Relationship', 'UserRole', 'Context'], 'create': ['ObjectDocument', 'ObjectPerson', 'ProgramControl', 'Relationship', 'UserRole', 'Audit'], 'view_object_page': ['__GGRC_ALL__'], 'update': ['ObjectDocument', 'ObjectPerson', 'Program', 'ProgramControl', 'Relationship', 'UserRole'], 'delete': ['ObjectDocument', 'ObjectPerson', 'Program', 'ProgramControl', 'Relationship', 'UserRole']}
"""Exceptions raised by this NApp.""" class DeviceException(Exception): """Device related exception.""" def __init__(self, message, device=None): """Take the parameter to inform the user about the error. Args: device (str, :class:`Device`): The device that was looked for. """ super().__init__(message) self.device = device class DeviceNotFound(DeviceException): """Exception raised when trying to access a device that does not exist.""" def __str__(self): return f"Device {self.device} not found. " + super().__str__() class PortException(Exception): """Port related exceptions.""" def __init__(self, message, port=None): """Take the parameter to inform the user about the error. Args: port (str, :class:`Port`): The port that was looked for. """ super().__init__(message) self.port = port class PortNotFound(PortException): """Exception raised when trying to access a port that does not exist.""" def __str__(self): return f"Port {self.port} not found. " + super().__str__() class InterfaceException(Exception): """Interface related exceptions.""" def __init__(self, message, interface=None): """Take the parameter to inform the user about the error. Args: interface (str, :class:`Interface`): The Interface that was looked for. """ super().__init__(message) self.interface = interface class InterfaceDisconnected(InterfaceException): """When a forbidden action was performed on a disconnected interface.""" def __str__(self): msg = f"The interface {self.interface} is disconnected." return msg + super().__str__() class InterfaceConnected(InterfaceException): """When a forbidden action was performed on a connected interface.""" def __str__(self): msg = f"The interface {self.interface.port} is already connected." return msg + super().__str__() class LinkException(Exception): """Link related exception.""" def __init__(self, message, link=None): """Take the parameter to inform the user about the error. Args: link (str, :class:`Link`): The link that was looked for. """ super().__init__(message) self.link = link class LinkNotFound(LinkException): """Exception raised when trying to access a link that does not exist.""" def __str__(self): return f"Link {self.link} not found. " + super().__str__() class TopologyException(Exception): """Exception generated while working with the Topology class.""" pass
"""Exceptions raised by this NApp.""" class Deviceexception(Exception): """Device related exception.""" def __init__(self, message, device=None): """Take the parameter to inform the user about the error. Args: device (str, :class:`Device`): The device that was looked for. """ super().__init__(message) self.device = device class Devicenotfound(DeviceException): """Exception raised when trying to access a device that does not exist.""" def __str__(self): return f'Device {self.device} not found. ' + super().__str__() class Portexception(Exception): """Port related exceptions.""" def __init__(self, message, port=None): """Take the parameter to inform the user about the error. Args: port (str, :class:`Port`): The port that was looked for. """ super().__init__(message) self.port = port class Portnotfound(PortException): """Exception raised when trying to access a port that does not exist.""" def __str__(self): return f'Port {self.port} not found. ' + super().__str__() class Interfaceexception(Exception): """Interface related exceptions.""" def __init__(self, message, interface=None): """Take the parameter to inform the user about the error. Args: interface (str, :class:`Interface`): The Interface that was looked for. """ super().__init__(message) self.interface = interface class Interfacedisconnected(InterfaceException): """When a forbidden action was performed on a disconnected interface.""" def __str__(self): msg = f'The interface {self.interface} is disconnected.' return msg + super().__str__() class Interfaceconnected(InterfaceException): """When a forbidden action was performed on a connected interface.""" def __str__(self): msg = f'The interface {self.interface.port} is already connected.' return msg + super().__str__() class Linkexception(Exception): """Link related exception.""" def __init__(self, message, link=None): """Take the parameter to inform the user about the error. Args: link (str, :class:`Link`): The link that was looked for. """ super().__init__(message) self.link = link class Linknotfound(LinkException): """Exception raised when trying to access a link that does not exist.""" def __str__(self): return f'Link {self.link} not found. ' + super().__str__() class Topologyexception(Exception): """Exception generated while working with the Topology class.""" pass
"""A function for testing approximate equality of two numbers. Same as math.isclose in Python v3.5 (and newer) https://www.python.org/dev/peps/pep-0485 """ def almost_equal(a, b, rel_tol=1e-09, abs_tol=0.0): """A function for testing approximate equality of two numbers. Same as math.isclose in Python v3.5 (and newer) https://www.python.org/dev/peps/pep-0485 """ return abs(a-b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol) # Examples: almost_equal(5.2, 5.2) # True almost_equal(5.201, 5.202) # False almost_equal(5.201, 5.202, 0.1) # True
"""A function for testing approximate equality of two numbers. Same as math.isclose in Python v3.5 (and newer) https://www.python.org/dev/peps/pep-0485 """ def almost_equal(a, b, rel_tol=1e-09, abs_tol=0.0): """A function for testing approximate equality of two numbers. Same as math.isclose in Python v3.5 (and newer) https://www.python.org/dev/peps/pep-0485 """ return abs(a - b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol) almost_equal(5.2, 5.2) almost_equal(5.201, 5.202) almost_equal(5.201, 5.202, 0.1)
old_file = open('city.txt', 'r') new_file = open('city_with_format.txt', 'w') all_cities = old_file.readlines() # print all_cities for i in all_cities: city, country = i.strip().split() new_file.write('%-25s%-25s\n' % (city, country)) old_file.close() new_file.close()
old_file = open('city.txt', 'r') new_file = open('city_with_format.txt', 'w') all_cities = old_file.readlines() for i in all_cities: (city, country) = i.strip().split() new_file.write('%-25s%-25s\n' % (city, country)) old_file.close() new_file.close()
{ 'targets': [ { 'configurations': { 'Debug': { }, 'Release': { } }, 'target_name': 'appels', 'type': 'executable', 'dependencies': [ 'third_party/skia/skia.gyp:alltargets', 'third_party/skia/gyp/sdl.gyp:sdl', ], 'include_dirs': [ 'third_party/skia/include/config', 'third_party/skia/include/core', 'third_party/skia/include/gpu', 'third_party/skia/include/gpu/gl', 'third_party/skia/include/utils', 'third_party/skia/third_party/externals/sdl/include', 'third_party/skia/src/gpu/', ], 'sources': [ 'app/appels.cpp' ], 'ldflags': [ '-std=c++11', ], 'cflags': [ '-Werror', '-W', '-Wall', '-Wextra', '-Wno-unused-parameter', '-g', '-O0' ] } ] }
{'targets': [{'configurations': {'Debug': {}, 'Release': {}}, 'target_name': 'appels', 'type': 'executable', 'dependencies': ['third_party/skia/skia.gyp:alltargets', 'third_party/skia/gyp/sdl.gyp:sdl'], 'include_dirs': ['third_party/skia/include/config', 'third_party/skia/include/core', 'third_party/skia/include/gpu', 'third_party/skia/include/gpu/gl', 'third_party/skia/include/utils', 'third_party/skia/third_party/externals/sdl/include', 'third_party/skia/src/gpu/'], 'sources': ['app/appels.cpp'], 'ldflags': ['-std=c++11'], 'cflags': ['-Werror', '-W', '-Wall', '-Wextra', '-Wno-unused-parameter', '-g', '-O0']}]}
def pattern(n): if n <= 1: return "" res = "" for i in range(1, n//2+1): res += str(i*2)*(i*2)+"\n" return res[:-1]
def pattern(n): if n <= 1: return '' res = '' for i in range(1, n // 2 + 1): res += str(i * 2) * (i * 2) + '\n' return res[:-1]
TOTAL_CHARACTERS = 'SELECT COUNT(character_id) FROM charactercreator_character;' TOTAL_SUBCLASS = ''' SELECT COUNT(*) FROM (SELECT * FROM charactercreator_character cc_c INNER JOIN charactercreator_necromancer cc_n ON cc_c.character_id = cc_n.mage_ptr_id); ''' TOTAL_ITEMS = ''' SELECT COUNT(cc_ci.id) FROM charactercreator_character as cc_char INNER JOIN charactercreator_character_inventory as cc_ci WHERE cc_char.character_id = cc_ci.character_id; ''' TOTAL_WEAPON = ''' SELECT COUNT(*) FROM charactercreator_character AS cc_char INNER JOIN charactercreator_character_inventory AS cc_ci ON cc_char.character_id = cc_ci.character_id INNER JOIN armory_weapon AS aw WHERE aw.item_ptr_id = cc_ci.item_id ''' NON_WEAPONS = '''''' CHARACTER_ITEMS = '''''' CHARACTER_WEAPONS = '''''' AVG_CHARACTER_ITEMS = '''''' AVG_CHARACTER_WEAPONMS = '''''' GET_CHARACTERS = ''' SELECT * FROM charactercreator_character ''' GET_CHARACTERS_ITEMS = ''' SELECT name, value, weight FROM charactercreator_character_inventory as cc_ci LEFT JOIN armory_item WHERE cc_ci.item_id = armory_item.item_id and armory_item.item_id < 138 and cc_ci.character_id = {} ''' GET_CHARACTERS_WEAPONS = ''' SELECT name, value, weight FROM charactercreator_character_inventory as cc_ci LEFT JOIN armory_item ON cc_ci.item_id = armory_item.item_id INNER JOIN armory_weapon where armory_weapon.item_ptr_id = cc_ci.item_id and cc_ci.character_id = {} '''
total_characters = 'SELECT COUNT(character_id) FROM charactercreator_character;' total_subclass = '\n SELECT COUNT(*) FROM (SELECT *\n FROM charactercreator_character cc_c\n INNER JOIN charactercreator_necromancer cc_n\n ON cc_c.character_id = cc_n.mage_ptr_id);\n ' total_items = '\n SELECT COUNT(cc_ci.id)\n FROM charactercreator_character as cc_char\n INNER JOIN charactercreator_character_inventory as cc_ci\n WHERE cc_char.character_id = cc_ci.character_id;\n ' total_weapon = '\n SELECT COUNT(*)\n FROM charactercreator_character AS cc_char\n INNER JOIN charactercreator_character_inventory AS cc_ci\n ON cc_char.character_id = cc_ci.character_id\n INNER JOIN armory_weapon AS aw\n WHERE aw.item_ptr_id = cc_ci.item_id\n ' non_weapons = '' character_items = '' character_weapons = '' avg_character_items = '' avg_character_weaponms = '' get_characters = '\n SELECT * FROM charactercreator_character\n ' get_characters_items = '\n SELECT name, value, weight\n FROM charactercreator_character_inventory as cc_ci\n LEFT JOIN armory_item\n WHERE cc_ci.item_id = armory_item.item_id and armory_item.item_id < 138 and cc_ci.character_id = {}\n ' get_characters_weapons = '\n SELECT name, value, weight\n FROM charactercreator_character_inventory as cc_ci\n LEFT JOIN armory_item\n ON cc_ci.item_id = armory_item.item_id\n INNER JOIN armory_weapon\n where armory_weapon.item_ptr_id = cc_ci.item_id and cc_ci.character_id = {}\n '
response.title = settings.title response.subtitle = settings.subtitle response.meta.author = '%(author)s <%(author_email)s>' % settings response.meta.keywords = settings.keywords response.meta.description = settings.description response.menu = [ (T('Home'),URL('default','index')==URL(),URL('default','index'),[]), (T('Contracts'),URL('default','contract')==URL(),URL('default','contract'),[]), (T('About'),URL('default','about')==URL(),URL('default','about'),[]), (T('Contact'),URL('default','contact')==URL(),URL('default','contact'),[]), #(T('Building'),URL('default','building_manage')==URL(),URL('default','building_manage'),[]), #(T('Floor'),URL('default','floor_manage')==URL(),URL('default','floor_manage'),[]), #(T('Apartment'),URL('default','apartment_manage')==URL(),URL('default','apartment_manage'),[]), #(T('Apartment Type'),URL('default','apartment_type_manage')==URL(),URL('default','apartment_type_manage'),[]), #(T('User Info'),URL('default','user_info_manage')==URL(),URL('default','user_info_manage'),[]), #(T('Contract'),URL('default','contract_manage')==URL(),URL('default','contract_manage'),[]), #(T('Semester'),URL('default','semester_manage')==URL(),URL('default','semester_manage'),[]), #(T('Parking'),URL('default','parking_manage')==URL(),URL('default','parking_manage'),[]), #(T('Request'),URL('default','request_manage')==URL(),URL('default','request_manage'),[]), #(T('Request Comments'),URL('default','request_comments_manage')==URL(),URL('default','request_comments_manage'),[]), #(T('Request Type'),URL('default','request_type_manage')==URL(),URL('default','request_type_manage'),[]), #(T('Room'),URL('default','room_manage')==URL(),URL('default','room_manage'),[]), #(T('Room Type'),URL('default','room_type_manage')==URL(),URL('default','room_type_manage'),[]), #(T('T Building'),URL('default','t_building_manage')==URL(),URL('default','t_building_manage'),[]), #(T('T Floor'),URL('default','t_floor_manage')==URL(),URL('default','t_floor_manage'),[]), #(T('T Apartment'),URL('default','t_apartment_manage')==URL(),URL('default','t_apartment_manage'),[]), #(T('T Apartment Type'),URL('default','t_apartment_type_manage')==URL(),URL('default','t_apartment_type_manage'),[]), #(T('T User Info'),URL('default','t_user_info_manage')==URL(),URL('default','t_user_info_manage'),[]), #(T('T Contract'),URL('default','t_contract_manage')==URL(),URL('default','t_contract_manage'),[]), #(T('T Semester'),URL('default','t_semester_manage')==URL(),URL('default','t_semester_manage'),[]), #(T('T Parking'),URL('default','t_parking_manage')==URL(),URL('default','t_parking_manage'),[]), #(T('T Request'),URL('default','t_request_manage')==URL(),URL('default','t_request_manage'),[]), #(T('T Request Comments'),URL('default','t_request_comments_manage')==URL(),URL('default','t_request_comments_manage'),[]), #(T('T Request Type'),URL('default','t_request_type_manage')==URL(),URL('default','t_request_type_manage'),[]), #(T('T Room'),URL('default','t_room_manage')==URL(),URL('default','t_room_manage'),[]), #(T('T Room Type'),URL('default','t_room_type_manage')==URL(),URL('default','t_room_type_manage'),[]), ]
response.title = settings.title response.subtitle = settings.subtitle response.meta.author = '%(author)s <%(author_email)s>' % settings response.meta.keywords = settings.keywords response.meta.description = settings.description response.menu = [(t('Home'), url('default', 'index') == url(), url('default', 'index'), []), (t('Contracts'), url('default', 'contract') == url(), url('default', 'contract'), []), (t('About'), url('default', 'about') == url(), url('default', 'about'), []), (t('Contact'), url('default', 'contact') == url(), url('default', 'contact'), [])]
class Solution: def split(self, spaces: int, sets: int) -> Iterable[int]: if (spaces % sets == 0): rem = spaces // sets return (rem for i in range(sets)) else: rem, bigRem = sets - (spaces % sets), spaces//sets return (bigRem + 1 if (i >= rem) else bigRem for i in range(sets-1,-1,-1)) def merge(self, words: List[str], maxWidth: int, last: int = None) -> str: if last: s = ' '.join(words) return s + ' ' * (maxWidth - len(s)) lenw, lenEachw = len(words), sum(len(i) for i in words) if lenw == 1: return words[0] + ' ' * (maxWidth - lenEachw) spaceSet = self.split(maxWidth - lenEachw, lenw - 1) return ''.join((word + ' ' * spaceLen for word, spaceLen in zip(words, spaceSet))) + words[-1] def fullJustify(self, words: List[str], maxWidth: int) -> List[str]: lenw, i, sol = len(words), 0, [] while i < lenw: maxLen, j = maxWidth, i while maxLen >= -1 and j < lenw: maxLen -= (len(words[j]) + 1) j += 1 if j >= lenw and maxLen >= -1: sol.append(self.merge(words[i:], maxWidth, 'last')) break else: sol.append(self.merge(words[i : j-1], maxWidth)) i = j-1 return sol
class Solution: def split(self, spaces: int, sets: int) -> Iterable[int]: if spaces % sets == 0: rem = spaces // sets return (rem for i in range(sets)) else: (rem, big_rem) = (sets - spaces % sets, spaces // sets) return (bigRem + 1 if i >= rem else bigRem for i in range(sets - 1, -1, -1)) def merge(self, words: List[str], maxWidth: int, last: int=None) -> str: if last: s = ' '.join(words) return s + ' ' * (maxWidth - len(s)) (lenw, len_eachw) = (len(words), sum((len(i) for i in words))) if lenw == 1: return words[0] + ' ' * (maxWidth - lenEachw) space_set = self.split(maxWidth - lenEachw, lenw - 1) return ''.join((word + ' ' * spaceLen for (word, space_len) in zip(words, spaceSet))) + words[-1] def full_justify(self, words: List[str], maxWidth: int) -> List[str]: (lenw, i, sol) = (len(words), 0, []) while i < lenw: (max_len, j) = (maxWidth, i) while maxLen >= -1 and j < lenw: max_len -= len(words[j]) + 1 j += 1 if j >= lenw and maxLen >= -1: sol.append(self.merge(words[i:], maxWidth, 'last')) break else: sol.append(self.merge(words[i:j - 1], maxWidth)) i = j - 1 return sol
# # PySNMP MIB module FMS100-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/FMS100-MIB # Produced by pysmi-0.3.4 at Wed May 1 13:14:07 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueRangeConstraint", "ValueSizeConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") NotificationType, Gauge32, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, ObjectIdentity, iso, Unsigned32, Counter32, IpAddress, ModuleIdentity, TimeTicks, MibIdentifier, Bits, enterprises, Counter64 = mibBuilder.importSymbols("SNMPv2-SMI", "NotificationType", "Gauge32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "ObjectIdentity", "iso", "Unsigned32", "Counter32", "IpAddress", "ModuleIdentity", "TimeTicks", "MibIdentifier", "Bits", "enterprises", "Counter64") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") a3Com = MibIdentifier((1, 3, 6, 1, 4, 1, 43)) products = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 1)) hub = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 1, 8)) cards = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 1, 9)) linkBuilderFMS100_mib = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 19)).setLabel("linkBuilderFMS100-mib") linkBuilderFMS100 = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 1, 8, 20)) linkBuilderFMS100_cards = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 1, 9, 10)).setLabel("linkBuilderFMS100-cards") linkBuilderFMS100_cards_12utp = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 1, 9, 10, 1)).setLabel("linkBuilderFMS100-cards-12utp") hubEnviroObject = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 19, 2)) hubEnviroGroupTable = MibTable((1, 3, 6, 1, 4, 1, 43, 19, 2, 1), ) if mibBuilder.loadTexts: hubEnviroGroupTable.setStatus('mandatory') if mibBuilder.loadTexts: hubEnviroGroupTable.setDescription('Table of Environment information about the group.') hubEnviroGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1), ).setIndexNames((0, "FMS100-MIB", "hubServiceId"), (0, "FMS100-MIB", "hubGroupIndex")) if mibBuilder.loadTexts: hubEnviroGroupEntry.setStatus('mandatory') if mibBuilder.loadTexts: hubEnviroGroupEntry.setDescription('An Entry in the table, containing information about a single group.') hubServiceId = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hubServiceId.setStatus('mandatory') if mibBuilder.loadTexts: hubServiceId.setDescription('This object identifies the repeater which this entry contains information. For FMS100, this is a constant 1.') hubGroupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024))).setMaxAccess("readonly") if mibBuilder.loadTexts: hubGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: hubGroupIndex.setDescription('This object identifies the group within the repeater for which this entry contains information. This number is never greater than paRptrGroupCapacity.') hubHighTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("true", 1), ("false", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: hubHighTemp.setStatus('mandatory') if mibBuilder.loadTexts: hubHighTemp.setDescription(' This variable shows the current temperature status of the hub. If the variable changed from false to true, The enterprise-specific trap(a3comHighTemp) will be sent to the configured SNMP manager stations.') hubFanFailed = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("true", 1), ("false", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: hubFanFailed.setStatus('mandatory') if mibBuilder.loadTexts: hubFanFailed.setDescription(' This variable shows the current Fan Fail status of the hub. If the variable changed from false to true, The enterprise-specific trap(a3comFanFailed) will be sent to the configured SNMP manager stations.') pa100RptrSpecific = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 19, 3)) pa100RptrInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 19, 3, 1)) pa100GroupInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 19, 3, 2)) pa100PortInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 19, 3, 3)) pa100RptrTable = MibTable((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1), ) if mibBuilder.loadTexts: pa100RptrTable.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrTable.setDescription('Table of descriptive and STATUS information about the 100Mb Ethernet Hub') pa100RptrEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1), ).setIndexNames((0, "FMS100-MIB", "pa100RptrServiceId")) if mibBuilder.loadTexts: pa100RptrEntry.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrEntry.setDescription('An entry in the table, containing information about the repeater.') pa100RptrServiceId = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100RptrServiceId.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrServiceId.setDescription('This object identifies the repeater which this entry contains information.') pa100RptrClass = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("classI", 1), ("classII", 2), ("unknown", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100RptrClass.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrClass.setDescription('The pa100RptrClass is the repeater class as defined in 802.3 standard. Class I: A type of repeater set specified such that in a maximum length segment topology, only one such repeater set may exist between any two DTEs within a single collision domain. Class II: A type of repeater set specified such that in a maximum length segment topology, only two such repeater set may exist between any two DTEs within a single collision domain.') pa100RptrStackCardTypeInfo = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 8))).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100RptrStackCardTypeInfo.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrStackCardTypeInfo.setDescription("Supplies the information about the type of Cards in the repeater stack. There is one octet for each unit in the stack. Each octet can have the following values: 0 : undetected(power off or non-exist) 1 : repeater card 2 : management unit 3 : bridge/management card 4 : backup management(/bridge) card 5 : powered off 6 : unknown Value 0 indicates either the powered off card's cardindex is higher than all of the powered on cards or the card is non-existant. Value 5 indicates that the card is powered off and there are powered on card(s) with higher index number. Octet offset(started 0) N indicates N+1 th card information. I.e. The first octet indicates card 1's information.") pa100PortTable = MibTable((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1), ) if mibBuilder.loadTexts: pa100PortTable.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortTable.setDescription('Table of descriptive and STATUS information about the ports that is specific to 100Mb Ethernet Hub') pa100PortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1), ).setIndexNames((0, "FMS100-MIB", "pa100PortServiceId"), (0, "FMS100-MIB", "pa100PortGroupIndex"), (0, "FMS100-MIB", "pa100PortIndex")) if mibBuilder.loadTexts: pa100PortEntry.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortEntry.setDescription('An entry in the table, containing information about a single port.') pa100PortServiceId = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100PortServiceId.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortServiceId.setDescription('This object identifies the repeater which this entry contains information.') pa100PortGroupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024))).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100PortGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortGroupIndex.setDescription('This object identifies the group containing the port for which this entry contains information.') pa100PortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024))).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100PortIndex.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortIndex.setDescription('This object identifies the port within the group for which this entry contains information. This value can never be greater than paRptrGroupPortCapacity for the associated group.') pa100PortIsolate = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100PortIsolate.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortIsolate.setDescription('Increment counter by each time that the repeater port automatically isolates as a consequence of false carrier events. The conditions which cause a port to automatically isolate are as defined by the transition from the False Carrier state to the Link Unstable state of the carrier integrity state diagram.(802.3 std)') pa100PortSymbolErrorDuringPacket = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pa100PortSymbolErrorDuringPacket.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortSymbolErrorDuringPacket.setDescription('A count of the number of times when valid length packet was received at the port and there was at least one occurrence of an invalid symbol. This can increment only once per valid carrier event. A collision presence at any port of the repeater containing port N, will not cause this attribute to increment. ') mibBuilder.exportSymbols("FMS100-MIB", hubGroupIndex=hubGroupIndex, pa100PortServiceId=pa100PortServiceId, pa100RptrInfo=pa100RptrInfo, linkBuilderFMS100_cards=linkBuilderFMS100_cards, linkBuilderFMS100_cards_12utp=linkBuilderFMS100_cards_12utp, hubEnviroGroupEntry=hubEnviroGroupEntry, linkBuilderFMS100_mib=linkBuilderFMS100_mib, pa100RptrSpecific=pa100RptrSpecific, hubEnviroObject=hubEnviroObject, pa100RptrEntry=pa100RptrEntry, hubEnviroGroupTable=hubEnviroGroupTable, hub=hub, pa100PortTable=pa100PortTable, pa100PortIsolate=pa100PortIsolate, pa100GroupInfo=pa100GroupInfo, pa100PortGroupIndex=pa100PortGroupIndex, cards=cards, pa100RptrServiceId=pa100RptrServiceId, pa100RptrStackCardTypeInfo=pa100RptrStackCardTypeInfo, pa100RptrTable=pa100RptrTable, hubFanFailed=hubFanFailed, pa100PortEntry=pa100PortEntry, pa100PortSymbolErrorDuringPacket=pa100PortSymbolErrorDuringPacket, pa100PortInfo=pa100PortInfo, a3Com=a3Com, hubServiceId=hubServiceId, linkBuilderFMS100=linkBuilderFMS100, pa100PortIndex=pa100PortIndex, products=products, hubHighTemp=hubHighTemp, pa100RptrClass=pa100RptrClass)
(object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (single_value_constraint, constraints_union, constraints_intersection, value_range_constraint, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueRangeConstraint', 'ValueSizeConstraint') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (notification_type, gauge32, mib_scalar, mib_table, mib_table_row, mib_table_column, integer32, object_identity, iso, unsigned32, counter32, ip_address, module_identity, time_ticks, mib_identifier, bits, enterprises, counter64) = mibBuilder.importSymbols('SNMPv2-SMI', 'NotificationType', 'Gauge32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32', 'ObjectIdentity', 'iso', 'Unsigned32', 'Counter32', 'IpAddress', 'ModuleIdentity', 'TimeTicks', 'MibIdentifier', 'Bits', 'enterprises', 'Counter64') (display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention') a3_com = mib_identifier((1, 3, 6, 1, 4, 1, 43)) products = mib_identifier((1, 3, 6, 1, 4, 1, 43, 1)) hub = mib_identifier((1, 3, 6, 1, 4, 1, 43, 1, 8)) cards = mib_identifier((1, 3, 6, 1, 4, 1, 43, 1, 9)) link_builder_fms100_mib = mib_identifier((1, 3, 6, 1, 4, 1, 43, 19)).setLabel('linkBuilderFMS100-mib') link_builder_fms100 = mib_identifier((1, 3, 6, 1, 4, 1, 43, 1, 8, 20)) link_builder_fms100_cards = mib_identifier((1, 3, 6, 1, 4, 1, 43, 1, 9, 10)).setLabel('linkBuilderFMS100-cards') link_builder_fms100_cards_12utp = mib_identifier((1, 3, 6, 1, 4, 1, 43, 1, 9, 10, 1)).setLabel('linkBuilderFMS100-cards-12utp') hub_enviro_object = mib_identifier((1, 3, 6, 1, 4, 1, 43, 19, 2)) hub_enviro_group_table = mib_table((1, 3, 6, 1, 4, 1, 43, 19, 2, 1)) if mibBuilder.loadTexts: hubEnviroGroupTable.setStatus('mandatory') if mibBuilder.loadTexts: hubEnviroGroupTable.setDescription('Table of Environment information about the group.') hub_enviro_group_entry = mib_table_row((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1)).setIndexNames((0, 'FMS100-MIB', 'hubServiceId'), (0, 'FMS100-MIB', 'hubGroupIndex')) if mibBuilder.loadTexts: hubEnviroGroupEntry.setStatus('mandatory') if mibBuilder.loadTexts: hubEnviroGroupEntry.setDescription('An Entry in the table, containing information about a single group.') hub_service_id = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: hubServiceId.setStatus('mandatory') if mibBuilder.loadTexts: hubServiceId.setDescription('This object identifies the repeater which this entry contains information. For FMS100, this is a constant 1.') hub_group_index = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(1, 1024))).setMaxAccess('readonly') if mibBuilder.loadTexts: hubGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: hubGroupIndex.setDescription('This object identifies the group within the repeater for which this entry contains information. This number is never greater than paRptrGroupCapacity.') hub_high_temp = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('true', 1), ('false', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: hubHighTemp.setStatus('mandatory') if mibBuilder.loadTexts: hubHighTemp.setDescription(' This variable shows the current temperature status of the hub. If the variable changed from false to true, The enterprise-specific trap(a3comHighTemp) will be sent to the configured SNMP manager stations.') hub_fan_failed = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 2, 1, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('true', 1), ('false', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: hubFanFailed.setStatus('mandatory') if mibBuilder.loadTexts: hubFanFailed.setDescription(' This variable shows the current Fan Fail status of the hub. If the variable changed from false to true, The enterprise-specific trap(a3comFanFailed) will be sent to the configured SNMP manager stations.') pa100_rptr_specific = mib_identifier((1, 3, 6, 1, 4, 1, 43, 19, 3)) pa100_rptr_info = mib_identifier((1, 3, 6, 1, 4, 1, 43, 19, 3, 1)) pa100_group_info = mib_identifier((1, 3, 6, 1, 4, 1, 43, 19, 3, 2)) pa100_port_info = mib_identifier((1, 3, 6, 1, 4, 1, 43, 19, 3, 3)) pa100_rptr_table = mib_table((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1)) if mibBuilder.loadTexts: pa100RptrTable.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrTable.setDescription('Table of descriptive and STATUS information about the 100Mb Ethernet Hub') pa100_rptr_entry = mib_table_row((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1)).setIndexNames((0, 'FMS100-MIB', 'pa100RptrServiceId')) if mibBuilder.loadTexts: pa100RptrEntry.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrEntry.setDescription('An entry in the table, containing information about the repeater.') pa100_rptr_service_id = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100RptrServiceId.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrServiceId.setDescription('This object identifies the repeater which this entry contains information.') pa100_rptr_class = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('classI', 1), ('classII', 2), ('unknown', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100RptrClass.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrClass.setDescription('The pa100RptrClass is the repeater class as defined in 802.3 standard. Class I: A type of repeater set specified such that in a maximum length segment topology, only one such repeater set may exist between any two DTEs within a single collision domain. Class II: A type of repeater set specified such that in a maximum length segment topology, only two such repeater set may exist between any two DTEs within a single collision domain.') pa100_rptr_stack_card_type_info = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 1, 1, 1, 3), octet_string().subtype(subtypeSpec=value_size_constraint(1, 8))).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100RptrStackCardTypeInfo.setStatus('mandatory') if mibBuilder.loadTexts: pa100RptrStackCardTypeInfo.setDescription("Supplies the information about the type of Cards in the repeater stack. There is one octet for each unit in the stack. Each octet can have the following values: 0 : undetected(power off or non-exist) 1 : repeater card 2 : management unit 3 : bridge/management card 4 : backup management(/bridge) card 5 : powered off 6 : unknown Value 0 indicates either the powered off card's cardindex is higher than all of the powered on cards or the card is non-existant. Value 5 indicates that the card is powered off and there are powered on card(s) with higher index number. Octet offset(started 0) N indicates N+1 th card information. I.e. The first octet indicates card 1's information.") pa100_port_table = mib_table((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1)) if mibBuilder.loadTexts: pa100PortTable.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortTable.setDescription('Table of descriptive and STATUS information about the ports that is specific to 100Mb Ethernet Hub') pa100_port_entry = mib_table_row((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1)).setIndexNames((0, 'FMS100-MIB', 'pa100PortServiceId'), (0, 'FMS100-MIB', 'pa100PortGroupIndex'), (0, 'FMS100-MIB', 'pa100PortIndex')) if mibBuilder.loadTexts: pa100PortEntry.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortEntry.setDescription('An entry in the table, containing information about a single port.') pa100_port_service_id = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100PortServiceId.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortServiceId.setDescription('This object identifies the repeater which this entry contains information.') pa100_port_group_index = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(1, 1024))).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100PortGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortGroupIndex.setDescription('This object identifies the group containing the port for which this entry contains information.') pa100_port_index = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 3), integer32().subtype(subtypeSpec=value_range_constraint(1, 1024))).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100PortIndex.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortIndex.setDescription('This object identifies the port within the group for which this entry contains information. This value can never be greater than paRptrGroupPortCapacity for the associated group.') pa100_port_isolate = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 4), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100PortIsolate.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortIsolate.setDescription('Increment counter by each time that the repeater port automatically isolates as a consequence of false carrier events. The conditions which cause a port to automatically isolate are as defined by the transition from the False Carrier state to the Link Unstable state of the carrier integrity state diagram.(802.3 std)') pa100_port_symbol_error_during_packet = mib_table_column((1, 3, 6, 1, 4, 1, 43, 19, 3, 3, 1, 1, 5), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pa100PortSymbolErrorDuringPacket.setStatus('mandatory') if mibBuilder.loadTexts: pa100PortSymbolErrorDuringPacket.setDescription('A count of the number of times when valid length packet was received at the port and there was at least one occurrence of an invalid symbol. This can increment only once per valid carrier event. A collision presence at any port of the repeater containing port N, will not cause this attribute to increment. ') mibBuilder.exportSymbols('FMS100-MIB', hubGroupIndex=hubGroupIndex, pa100PortServiceId=pa100PortServiceId, pa100RptrInfo=pa100RptrInfo, linkBuilderFMS100_cards=linkBuilderFMS100_cards, linkBuilderFMS100_cards_12utp=linkBuilderFMS100_cards_12utp, hubEnviroGroupEntry=hubEnviroGroupEntry, linkBuilderFMS100_mib=linkBuilderFMS100_mib, pa100RptrSpecific=pa100RptrSpecific, hubEnviroObject=hubEnviroObject, pa100RptrEntry=pa100RptrEntry, hubEnviroGroupTable=hubEnviroGroupTable, hub=hub, pa100PortTable=pa100PortTable, pa100PortIsolate=pa100PortIsolate, pa100GroupInfo=pa100GroupInfo, pa100PortGroupIndex=pa100PortGroupIndex, cards=cards, pa100RptrServiceId=pa100RptrServiceId, pa100RptrStackCardTypeInfo=pa100RptrStackCardTypeInfo, pa100RptrTable=pa100RptrTable, hubFanFailed=hubFanFailed, pa100PortEntry=pa100PortEntry, pa100PortSymbolErrorDuringPacket=pa100PortSymbolErrorDuringPacket, pa100PortInfo=pa100PortInfo, a3Com=a3Com, hubServiceId=hubServiceId, linkBuilderFMS100=linkBuilderFMS100, pa100PortIndex=pa100PortIndex, products=products, hubHighTemp=hubHighTemp, pa100RptrClass=pa100RptrClass)
""" Write program, that will count the sum of all numbers from 1 to number that was entered by user. 1,2,3,4,5,... 100 (1 + 100) / 2 * 100 For 5: 1+2+3+4+5 the result is gonna be: 15 (1 + 5) / 2 * 5 = 15 range(1, 6) 1,2,3,4,5 """ def sum_up_to(end): sum = 0 # 15 for number in range(1, end+1): #number = 5 sum = sum + number return sum def sum_up_to2(end): return sum([number for number in range(1, end+1)]) def sum_up_to3(end): return sum({number for number in range(1, end+1)}) def sum_up_to4(end): return sum((number for number in range(1, end+1))) def sum_up_to5(end): return (1 + end) / 2 * end print(sum_up_to(1255)) print(sum_up_to2(1255)) print(sum_up_to3(1255)) print(sum_up_to4(1255)) print(sum_up_to5(1255))
""" Write program, that will count the sum of all numbers from 1 to number that was entered by user. 1,2,3,4,5,... 100 (1 + 100) / 2 * 100 For 5: 1+2+3+4+5 the result is gonna be: 15 (1 + 5) / 2 * 5 = 15 range(1, 6) 1,2,3,4,5 """ def sum_up_to(end): sum = 0 for number in range(1, end + 1): sum = sum + number return sum def sum_up_to2(end): return sum([number for number in range(1, end + 1)]) def sum_up_to3(end): return sum({number for number in range(1, end + 1)}) def sum_up_to4(end): return sum((number for number in range(1, end + 1))) def sum_up_to5(end): return (1 + end) / 2 * end print(sum_up_to(1255)) print(sum_up_to2(1255)) print(sum_up_to3(1255)) print(sum_up_to4(1255)) print(sum_up_to5(1255))
{ "targets": [ { "target_name": "cpp-netlib", "type": "static_library", # unlike boost-asio which is header-only "include_dirs": [ "0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final" ], "defines": [ "BOOST_NETWORK_ENABLE_HTTPS" # otherwise getting "HTTPS not supported" ], "sources": [ "0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final/libs/network/src/*.cpp", "0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final/libs/network/src/*/*.cpp" ], "sources!": [ # I'm getting internal compiler errors with clang 3.5 and gcc 4.8.2 # on uri.cpp after compiling for minutes. This uri.cpp uses # boost-spirit, which is a bit of an ICE-magnet :( # See also https://github.com/cpp-netlib/cpp-netlib/issues/133 # and http://stackoverflow.com/questions/2616011/easy-way-to-parse-a-url-in-c-cross-platform # Anyway, cannot exlude it from build, yields linker errors. #"0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final/libs/network/src/uri/uri.cpp" ], "direct_dependent_settings": { "defines": [ "BOOST_NETWORK_ENABLE_HTTPS" ], "include_dirs": [ "0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final" ] }, "dependencies": [ "../boost-asio/boost-asio.gyp:boost-asio", "../boost-assign/boost-assign.gyp:boost-assign", "../boost-logic/boost-logic.gyp:boost-logic" ], "export_dependent_settings": [ "../boost-asio/boost-asio.gyp:boost-asio", "../boost-assign/boost-assign.gyp:boost-assign", "../boost-logic/boost-logic.gyp:boost-logic" ] }, { "target_name": "cpp-netlib_simple_wget", "type" : "executable", "test": { "args": [] }, "sources" : [ "0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final/libs/network/example/simple_wget.cpp" ], "dependencies" : [ "cpp-netlib", "../openssl/openssl.gyp:*" # only needed for https GETs ] } ] }
{'targets': [{'target_name': 'cpp-netlib', 'type': 'static_library', 'include_dirs': ['0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final'], 'defines': ['BOOST_NETWORK_ENABLE_HTTPS'], 'sources': ['0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final/libs/network/src/*.cpp', '0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final/libs/network/src/*/*.cpp'], 'sources!': [], 'direct_dependent_settings': {'defines': ['BOOST_NETWORK_ENABLE_HTTPS'], 'include_dirs': ['0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final']}, 'dependencies': ['../boost-asio/boost-asio.gyp:boost-asio', '../boost-assign/boost-assign.gyp:boost-assign', '../boost-logic/boost-logic.gyp:boost-logic'], 'export_dependent_settings': ['../boost-asio/boost-asio.gyp:boost-asio', '../boost-assign/boost-assign.gyp:boost-assign', '../boost-logic/boost-logic.gyp:boost-logic']}, {'target_name': 'cpp-netlib_simple_wget', 'type': 'executable', 'test': {'args': []}, 'sources': ['0.11.1-final/cpp-netlib-cpp-netlib-0.11.1-final/libs/network/example/simple_wget.cpp'], 'dependencies': ['cpp-netlib', '../openssl/openssl.gyp:*']}]}
def chdir(): pass def getcwd(): pass def listdir(): pass def mkdir(): pass def remove(): pass def rename(): pass def rmdir(): pass sep = "/" def stat(): pass def statvfs(): pass def sync(): pass def uname(): pass def unlink(): pass def urandom(): pass
def chdir(): pass def getcwd(): pass def listdir(): pass def mkdir(): pass def remove(): pass def rename(): pass def rmdir(): pass sep = '/' def stat(): pass def statvfs(): pass def sync(): pass def uname(): pass def unlink(): pass def urandom(): pass
#!/usr/bin/env python """Contains the Data Model Descripts for the REST Resources. Contains the Data Model Configuration settings for each REST Resource provided by the Python Eve Server. Data validation object typing is also included. """ __author__ = "Sanjay Joshi" __copyright__ = "IBM Copyright 2015" __credits__ = ["Sanjay Joshi"] __license__ = "Apache 2.0" __version__ = "1.0" __maintainer__ = "Sanjay Joshi" __email__ = "[email protected]" __status__ = "Prototype"
"""Contains the Data Model Descripts for the REST Resources. Contains the Data Model Configuration settings for each REST Resource provided by the Python Eve Server. Data validation object typing is also included. """ __author__ = 'Sanjay Joshi' __copyright__ = 'IBM Copyright 2015' __credits__ = ['Sanjay Joshi'] __license__ = 'Apache 2.0' __version__ = '1.0' __maintainer__ = 'Sanjay Joshi' __email__ = '[email protected]' __status__ = 'Prototype'
# Given a linked list, rotate the list to the right by k places, where k is non-negative. # # Example 1: # # Input: 1->2->3->4->5->NULL, k = 2 # Output: 4->5->1->2->3->NULL # Explanation: # rotate 1 steps to the right: 5->1->2->3->4->NULL # rotate 2 steps to the right: 4->5->1->2->3->NULL # Example 2: # # Input: 0->1->2->NULL, k = 4 # Output: 2->0->1->NULL # Explanation: # rotate 1 steps to the right: 2->0->1->NULL # rotate 2 steps to the right: 1->2->0->NULL # rotate 3 steps to the right: 0->1->2->NULL # rotate 4 steps to the right: 2->0->1->NULL class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: def rotateRight(self, head, k): if not head: return head if not head.next: return head length = 0 curr = head while curr: length += 1 curr = curr.next k = k % length slow = fast = head for _ in range(k): fast = fast.next while fast.next: slow = slow.next fast = fast.next fast.next = head head = slow.next slow.next = None return head
class Listnode: def __init__(self, x): self.val = x self.next = None class Solution: def rotate_right(self, head, k): if not head: return head if not head.next: return head length = 0 curr = head while curr: length += 1 curr = curr.next k = k % length slow = fast = head for _ in range(k): fast = fast.next while fast.next: slow = slow.next fast = fast.next fast.next = head head = slow.next slow.next = None return head
# 28 Wind Chill #Asking for air temperature and wind speed. T = float(input('Enter the air temperature in celsius= ')) v = float(input('Enter the velocity of windin km/h = ')) x = round(13.12 * 0.6215 * T - 11.37 * v ** 0.16 + 0.3965 * T * v ** 0.16) print('Wind chill index = ',x)
t = float(input('Enter the air temperature in celsius= ')) v = float(input('Enter the velocity of windin km/h = ')) x = round(13.12 * 0.6215 * T - 11.37 * v ** 0.16 + 0.3965 * T * v ** 0.16) print('Wind chill index = ', x)
""" Class that represents a single linked list node that holds a single value and a reference to the next node in the list """ class Node: def __init__(self, value=None, next_node=None): self.value = value self.next_node = next_node def get_value(self): return self.value def get_next(self): return self.next_node def set_next(self, new_next): self.next_node = new_next class LinkedList: def __init__(self): self.head = None self.tail = None def __iter__(self): node = self.head while node: yield node node = node.next_node def add_to_tail(self, value): node = Node(value) if self.head: self.tail.next_node = node else: self.head = node self.tail = node def remove_head(self): prev_value = None if not self.head: return None elif self.head is self.tail: prev_value = self.head.value self.head = None self.tail = None else: prev_value = self.head.value self.head = self.head.next_node return prev_value def contains(self, value): for node in self: if node.value is value: return True return False def get_max(self): if not self.head: return None max = self.head.value for node in self: if node.value > max: max = node.value return max
""" Class that represents a single linked list node that holds a single value and a reference to the next node in the list """ class Node: def __init__(self, value=None, next_node=None): self.value = value self.next_node = next_node def get_value(self): return self.value def get_next(self): return self.next_node def set_next(self, new_next): self.next_node = new_next class Linkedlist: def __init__(self): self.head = None self.tail = None def __iter__(self): node = self.head while node: yield node node = node.next_node def add_to_tail(self, value): node = node(value) if self.head: self.tail.next_node = node else: self.head = node self.tail = node def remove_head(self): prev_value = None if not self.head: return None elif self.head is self.tail: prev_value = self.head.value self.head = None self.tail = None else: prev_value = self.head.value self.head = self.head.next_node return prev_value def contains(self, value): for node in self: if node.value is value: return True return False def get_max(self): if not self.head: return None max = self.head.value for node in self: if node.value > max: max = node.value return max
##Read the dictionary fh = open('C:\\english-dict.txt') dict = [] while True: line = fh.readline() dict.append(line.strip()) if not line: break fh.close() #Enter letters to use when compile a list of words letters = input("Please enter your letters: ") letters_set=set(letters) mini = input("Minimum length of the word (default is 2): ") maks = int(input("Maximum length of the word (default is length of the input letters): ")) if mini == "": mini = 2 # this will be the default minimum value of words length mini = int(mini) newdic=[] for words1 in dict: if len(words1) <= maks and len(words1)>= mini: newdic.append(words1) for words in newdic: ok = 1 for i in words: if i in letters_set: ok = ok * 1 else: ok = ok * 0 if ok == 1: print(words)
fh = open('C:\\english-dict.txt') dict = [] while True: line = fh.readline() dict.append(line.strip()) if not line: break fh.close() letters = input('Please enter your letters: ') letters_set = set(letters) mini = input('Minimum length of the word (default is 2): ') maks = int(input('Maximum length of the word (default is length of the input letters): ')) if mini == '': mini = 2 mini = int(mini) newdic = [] for words1 in dict: if len(words1) <= maks and len(words1) >= mini: newdic.append(words1) for words in newdic: ok = 1 for i in words: if i in letters_set: ok = ok * 1 else: ok = ok * 0 if ok == 1: print(words)
class Collector: def __init__(self, name, have_task=True): self.name = name self.have_task = have_task self.data_dict = None self.last_collect = 0 def run_task(self): pass def get_data(self): pass
class Collector: def __init__(self, name, have_task=True): self.name = name self.have_task = have_task self.data_dict = None self.last_collect = 0 def run_task(self): pass def get_data(self): pass
# # Copyright (c) 2009 Voltaire # $COPYRIGHT$ # # Additional copyrights may follow # # $HEADER$ # """ Configuration settings for application """ # Debug mode DEBUG = True # Authorisation key AUTH = ""
""" Configuration settings for application """ debug = True auth = ''
def digit_powers(): res = [] for i in range(1, 10): j = 0 while True: j += 1 num = i ** j num_digits = len(str(num)) if num_digits != j: break res += [num] return res
def digit_powers(): res = [] for i in range(1, 10): j = 0 while True: j += 1 num = i ** j num_digits = len(str(num)) if num_digits != j: break res += [num] return res
class Solution(object): def longestPalindrome(self, s): """ :type s: str :rtype: str """ def preProcess(s): if not s: return ['^', '$'] T = ['^'] for c in s: T += ['#', c] T += ['#', '$'] return T T = preProcess(s) P = [0] * len(T) center, right = 0, 0 for i in xrange(1, len(T) - 1): i_mirror = 2 * center - i if right > i: P[i] = min(right - i, P[i_mirror]) else: P[i] = 0 while T[i + 1 + P[i]] == T[i - 1 - P[i]]: P[i] += 1 if i + P[i] > right: center, right = i, i + P[i] max_i = 0 for i in xrange(1, len(T) - 1): if P[i] > P[max_i]: max_i = i start = (max_i - 1 - P[max_i]) / 2 return s[start : start + P[max_i]] # Time: O(n^2) # Space: O(1) class Solution2(object): def longestPalindrome(self, s): """ :type s: str :rtype: str """ def expand(s, left, right): while left >= 0 and right < len(s) and s[left] == s[right]: left -= 1 right += 1 return (right-left+1)-2 left, right = -1, -2 for i in xrange(len(s)): l = max(expand(s, i, i), expand(s, i, i+1)) if l > right-left+1: right = i+l//2 left = right-l+1 return s[left:right+1] if left >= 0 else ""
class Solution(object): def longest_palindrome(self, s): """ :type s: str :rtype: str """ def pre_process(s): if not s: return ['^', '$'] t = ['^'] for c in s: t += ['#', c] t += ['#', '$'] return T t = pre_process(s) p = [0] * len(T) (center, right) = (0, 0) for i in xrange(1, len(T) - 1): i_mirror = 2 * center - i if right > i: P[i] = min(right - i, P[i_mirror]) else: P[i] = 0 while T[i + 1 + P[i]] == T[i - 1 - P[i]]: P[i] += 1 if i + P[i] > right: (center, right) = (i, i + P[i]) max_i = 0 for i in xrange(1, len(T) - 1): if P[i] > P[max_i]: max_i = i start = (max_i - 1 - P[max_i]) / 2 return s[start:start + P[max_i]] class Solution2(object): def longest_palindrome(self, s): """ :type s: str :rtype: str """ def expand(s, left, right): while left >= 0 and right < len(s) and (s[left] == s[right]): left -= 1 right += 1 return right - left + 1 - 2 (left, right) = (-1, -2) for i in xrange(len(s)): l = max(expand(s, i, i), expand(s, i, i + 1)) if l > right - left + 1: right = i + l // 2 left = right - l + 1 return s[left:right + 1] if left >= 0 else ''
print((type(None))) print(type(True)) print(type(5)) print(type(5.5)) print(type('hi')) print(type([])) print(type(())) print(type({}))
print(type(None)) print(type(True)) print(type(5)) print(type(5.5)) print(type('hi')) print(type([])) print(type(())) print(type({}))
#!/usr/bin/env python #pylint: skip-file # This source code is licensed under the Apache license found in the # LICENSE file in the root directory of this project. class ProtectionDomain(object): def __init__(self): """ Attributes: swaggerTypes (dict): The key is attribute name and the value is attribute type. attributeMap (dict): The key is attribute name and the value is json key in definition. """ self.swaggerTypes = { 'classLoader': 'ClassLoader', 'codeSource': 'CodeSource', 'principals': 'list[Principal]', 'permissions': 'PermissionCollection' } self.attributeMap = { 'classLoader': 'classLoader', 'codeSource': 'codeSource', 'principals': 'principals', 'permissions': 'permissions' } self.classLoader = None # ClassLoader self.codeSource = None # CodeSource self.principals = None # list[Principal] self.permissions = None # PermissionCollection
class Protectiondomain(object): def __init__(self): """ Attributes: swaggerTypes (dict): The key is attribute name and the value is attribute type. attributeMap (dict): The key is attribute name and the value is json key in definition. """ self.swaggerTypes = {'classLoader': 'ClassLoader', 'codeSource': 'CodeSource', 'principals': 'list[Principal]', 'permissions': 'PermissionCollection'} self.attributeMap = {'classLoader': 'classLoader', 'codeSource': 'codeSource', 'principals': 'principals', 'permissions': 'permissions'} self.classLoader = None self.codeSource = None self.principals = None self.permissions = None
a=1 b=2 print('a=',a,'b=',b) x=3 y=3 z=3 print(x,y,z)
a = 1 b = 2 print('a=', a, 'b=', b) x = 3 y = 3 z = 3 print(x, y, z)
res = 0 n = 0 print("S= ", end="") for n2 in range(1, 51): if n2 == 1: n += 1 print(f"{n}/{n}", end="") else: n += 2 res += (n / n2) print(f" + {n}/{n2}", end="") print(f"\nResultado = {res}")
res = 0 n = 0 print('S= ', end='') for n2 in range(1, 51): if n2 == 1: n += 1 print(f'{n}/{n}', end='') else: n += 2 res += n / n2 print(f' + {n}/{n2}', end='') print(f'\nResultado = {res}')
"""A single Node in the graph of the art.""" class ArtNode: def __init__(self, x: int, y: int, thickness: int) -> None: self.x = x self.y = y self.thickness: int = thickness def xy(self, factor: int = 1): """ Gets the xy position of this node, but also allow for scaling it (for upscaling or downscaling resolution. """ return (self.x * factor, self.y * factor) def serialize(self): return f"{self.x}.{self.y}.{self.thickness}" @staticmethod def deserialize(code: str) -> "ArtNode": code_arr = code.split(".") x = int(code_arr[0]) y = int(code_arr[1]) thickness = int(code_arr[2]) return ArtNode(x, y, thickness) def clone(self) -> "ArtNode": return ArtNode(self.x, self.y, self.thickness)
"""A single Node in the graph of the art.""" class Artnode: def __init__(self, x: int, y: int, thickness: int) -> None: self.x = x self.y = y self.thickness: int = thickness def xy(self, factor: int=1): """ Gets the xy position of this node, but also allow for scaling it (for upscaling or downscaling resolution. """ return (self.x * factor, self.y * factor) def serialize(self): return f'{self.x}.{self.y}.{self.thickness}' @staticmethod def deserialize(code: str) -> 'ArtNode': code_arr = code.split('.') x = int(code_arr[0]) y = int(code_arr[1]) thickness = int(code_arr[2]) return art_node(x, y, thickness) def clone(self) -> 'ArtNode': return art_node(self.x, self.y, self.thickness)
""" By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top to bottom is 23. 3 7 4 2 4 6 8 5 9 3 That is, 3 + 7 + 4 + 9 = 23. Find the maximum total from top to bottom of the triangle below: 75 95 64 17 47 82 18 35 87 10 20 04 82 47 65 19 01 23 75 03 34 88 02 77 73 07 63 67 99 65 04 28 06 16 70 92 41 41 26 56 83 40 80 70 33 41 48 72 33 47 32 37 16 94 29 53 71 44 65 25 43 91 52 97 51 14 70 11 33 28 77 73 17 78 39 68 17 57 91 71 52 38 17 14 91 43 58 50 27 29 48 63 66 04 68 89 53 67 30 73 16 69 87 40 31 04 62 98 27 23 09 70 98 73 93 38 53 60 04 23 NOTE: As there are only 16384 routes, it is possible to solve this problem by trying every route. However, Problem 67, is the same challenge with a triangle containing one-hundred rows; it cannot be solved by brute force, and requires a clever method! ;o) """ input = """75 95 64 17 47 82 18 35 87 10 20 04 82 47 65 19 01 23 75 03 34 88 02 77 73 07 63 67 99 65 04 28 06 16 70 92 41 41 26 56 83 40 80 70 33 41 48 72 33 47 32 37 16 94 29 53 71 44 65 25 43 91 52 97 51 14 70 11 33 28 77 73 17 78 39 68 17 57 91 71 52 38 17 14 91 43 58 50 27 29 48 63 66 04 68 89 53 67 30 73 16 69 87 40 31 04 62 98 27 23 09 70 98 73 93 38 53 60 04 23""" # organize the data into an array of array # [[75], [95, 64], [17, 47, 82], [18, 35, 87, 10], .....] rows = input.split("\n") array = [] for i in rows: values = [int(j) for j in i.split()] array.append(values) # reverse the array to start from bottom row array.reverse() # compute partial sums until max total is found for i in range(1, len(array)): for j, k in enumerate(array[i]): array[i][j] = k + max([array[i - 1][j], array[i - 1][j + 1]]) print("maximum total from top to bottom: %s" % array[-1][0])
""" By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top to bottom is 23. 3 7 4 2 4 6 8 5 9 3 That is, 3 + 7 + 4 + 9 = 23. Find the maximum total from top to bottom of the triangle below: 75 95 64 17 47 82 18 35 87 10 20 04 82 47 65 19 01 23 75 03 34 88 02 77 73 07 63 67 99 65 04 28 06 16 70 92 41 41 26 56 83 40 80 70 33 41 48 72 33 47 32 37 16 94 29 53 71 44 65 25 43 91 52 97 51 14 70 11 33 28 77 73 17 78 39 68 17 57 91 71 52 38 17 14 91 43 58 50 27 29 48 63 66 04 68 89 53 67 30 73 16 69 87 40 31 04 62 98 27 23 09 70 98 73 93 38 53 60 04 23 NOTE: As there are only 16384 routes, it is possible to solve this problem by trying every route. However, Problem 67, is the same challenge with a triangle containing one-hundred rows; it cannot be solved by brute force, and requires a clever method! ;o) """ input = '75\n95 64\n17 47 82\n18 35 87 10\n20 04 82 47 65\n19 01 23 75 03 34\n88 02 77 73 07 63 67\n99 65 04 28 06 16 70 92\n41 41 26 56 83 40 80 70 33\n41 48 72 33 47 32 37 16 94 29\n53 71 44 65 25 43 91 52 97 51 14\n70 11 33 28 77 73 17 78 39 68 17 57\n91 71 52 38 17 14 91 43 58 50 27 29 48\n63 66 04 68 89 53 67 30 73 16 69 87 40 31\n04 62 98 27 23 09 70 98 73 93 38 53 60 04 23' rows = input.split('\n') array = [] for i in rows: values = [int(j) for j in i.split()] array.append(values) array.reverse() for i in range(1, len(array)): for (j, k) in enumerate(array[i]): array[i][j] = k + max([array[i - 1][j], array[i - 1][j + 1]]) print('maximum total from top to bottom: %s' % array[-1][0])
""" PyNullWeb - a web server that returns minimal content. :copyright: (c) 2017 by Detlef Kreuz :license: Apache 2.0, see LICENSE """
""" PyNullWeb - a web server that returns minimal content. :copyright: (c) 2017 by Detlef Kreuz :license: Apache 2.0, see LICENSE """
def alphabeta(node, is_max=True, alpha=float('-inf'), beta=float('inf')): if node and not node.children: return (node.val, [node]) elif is_max: # Can always fall back on alpha. This is the lower bound score for child in node.children: score, path = minimax(child, False, alpha, beta) # Prune here. A grandparent would not go down this path since beta # is lower than score. That is, it already knows a path that's better # than anything in this subtree. if score > beta: return (score, path + [node]) elif score > alpha: alpha = score best_path = path + [node] return (alpha, best_path) else: # Minimizer for child in node.children: # Can always fall back on beta. This is the upper bound score score, path = minimax(child, True, alpha, beta) # Prune here. A grandparent would not go down this path since alpha # is higher than score. if alpha > score: return (score, path + [node]) elif score < beta: beta = score best_path = path + [node] return (beta, best_path)
def alphabeta(node, is_max=True, alpha=float('-inf'), beta=float('inf')): if node and (not node.children): return (node.val, [node]) elif is_max: for child in node.children: (score, path) = minimax(child, False, alpha, beta) if score > beta: return (score, path + [node]) elif score > alpha: alpha = score best_path = path + [node] return (alpha, best_path) else: for child in node.children: (score, path) = minimax(child, True, alpha, beta) if alpha > score: return (score, path + [node]) elif score < beta: beta = score best_path = path + [node] return (beta, best_path)
# -*- coding: utf-8 -*- class ErrorResponse(Exception): def __init__(self, error=None, errorcode=None, errormessage=None, errordetails=None): self.error = error self.errorcode = errorcode self.errormessage = errormessage self.errordetails = errordetails def __str__(self): return repr(self) def __repr__(self): return ( "ErrorResponse(error={}, errorcode={}, errormessage={}" ", errordetails={})" ).format(self.error, self.errorcode, self.errormessage, self.errordetails)
class Errorresponse(Exception): def __init__(self, error=None, errorcode=None, errormessage=None, errordetails=None): self.error = error self.errorcode = errorcode self.errormessage = errormessage self.errordetails = errordetails def __str__(self): return repr(self) def __repr__(self): return 'ErrorResponse(error={}, errorcode={}, errormessage={}, errordetails={})'.format(self.error, self.errorcode, self.errormessage, self.errordetails)
#!/usr/bin/env python3 """ This module contains forms used by the app. """
""" This module contains forms used by the app. """
def primes(n): for i, prime in enumerate(prime_generator()): if i == n: return prime def prime_generator(): n = 2 primes = set() while True: for p in primes: if n % p == 0: break else: primes.add(n) yield n n += 1
def primes(n): for (i, prime) in enumerate(prime_generator()): if i == n: return prime def prime_generator(): n = 2 primes = set() while True: for p in primes: if n % p == 0: break else: primes.add(n) yield n n += 1
#-*-coding=utf-8-*- class Node(object): def __init__(self, elem=-1,lchild=None, rchild=None): self.elem=elem self.lchild=lchild self.rchild=rchild class Tree(object): def __init__(self): self.root=Node() self.nodequeue=[] def addnode(self, elem): node =Node(elem) if self.root.elem == -1: self.root=node self.nodequeue.append(self.root) else: treeNode = self.nodequeue[0] if treeNode.lchild == None: treeNode.lchild=node self.nodequeue.append(treeNode.lchild) else: treeNode.rchild=node self.nodequeue.append(treeNode.rchild) self.nodequeue.pop(0) # def traversal(self): # return class traversal(object): def preorder(self,root): if root==None: return print(root.elem,end=' ') self.preorder(root.lchild) self.preorder(root.rchild) def postorder(self,root): if root==None: return self.postorder(root.lchild) self.postorder(root.rchild) print(root.elem,end=' ') def inorder(self,root): if root==None: return self.inorder(root.lchild) print(root.elem,end=' ') self.inorder(root.rchild) def level(self,root): if root==None: return nodequeue=[] node=root nodequeue.append(node) while nodequeue: node=nodequeue.pop(0) print(node.elem,end=' ') if node.lchild !=None: nodequeue.append(node.lchild) if node.rchild !=None: nodequeue.append(node.rchild) def prestack(self,root): if root == None: return nodeStack=[] node=root while node or nodeStack: while node: print(node.elem,end=' ') nodeStack.append(node) node=node.lchild node=nodeStack.pop() node=node.rchild def poststack(self,root): if root == None: return nodeStack1 = [] nodeStack2= [] node = root nodeStack1.append(node) while nodeStack1: node=nodeStack1.pop() if node.lchild: nodeStack1.append(node.lchild) if node.rchild: nodeStack1.append(node.rchild) nodeStack2.append(node) while nodeStack2: print(nodeStack2.pop().elem,end=' ') def instack(self,root): if root==None: return nodeStack=[] node=root while node or nodeStack: while node: nodeStack.append(node) node=node.lchild node = nodeStack.pop() print(node.elem,end=' ') node=node.rchild #tree's diameter equal to the sum of left and right's depth 1-2-3-4-5 => 4-2-1-3 ,d=3 class Diameter(object): def getDepth(self, root): if not root: return 0 l=self.getDepth(root.lchild) r=self.getDepth(root.rchild) self.d=max(self.d,l+r) #??? return max(l,r)+1 def diaofTree(self,root): self.d=0 self.getDepth(root) return self.d if __name__=='__main__': elems=range(10) tree=Tree() trave=traversal() dia=Diameter() for elem in elems: tree.addnode(elem) print('level:') trave.level(tree.root) print() print('preorder:') trave.preorder(tree.root) print() print('postorder:') trave.postorder(tree.root) print() print('poststack') trave.poststack(tree.root) print() print(dia.diaofTree(tree.root))
class Node(object): def __init__(self, elem=-1, lchild=None, rchild=None): self.elem = elem self.lchild = lchild self.rchild = rchild class Tree(object): def __init__(self): self.root = node() self.nodequeue = [] def addnode(self, elem): node = node(elem) if self.root.elem == -1: self.root = node self.nodequeue.append(self.root) else: tree_node = self.nodequeue[0] if treeNode.lchild == None: treeNode.lchild = node self.nodequeue.append(treeNode.lchild) else: treeNode.rchild = node self.nodequeue.append(treeNode.rchild) self.nodequeue.pop(0) class Traversal(object): def preorder(self, root): if root == None: return print(root.elem, end=' ') self.preorder(root.lchild) self.preorder(root.rchild) def postorder(self, root): if root == None: return self.postorder(root.lchild) self.postorder(root.rchild) print(root.elem, end=' ') def inorder(self, root): if root == None: return self.inorder(root.lchild) print(root.elem, end=' ') self.inorder(root.rchild) def level(self, root): if root == None: return nodequeue = [] node = root nodequeue.append(node) while nodequeue: node = nodequeue.pop(0) print(node.elem, end=' ') if node.lchild != None: nodequeue.append(node.lchild) if node.rchild != None: nodequeue.append(node.rchild) def prestack(self, root): if root == None: return node_stack = [] node = root while node or nodeStack: while node: print(node.elem, end=' ') nodeStack.append(node) node = node.lchild node = nodeStack.pop() node = node.rchild def poststack(self, root): if root == None: return node_stack1 = [] node_stack2 = [] node = root nodeStack1.append(node) while nodeStack1: node = nodeStack1.pop() if node.lchild: nodeStack1.append(node.lchild) if node.rchild: nodeStack1.append(node.rchild) nodeStack2.append(node) while nodeStack2: print(nodeStack2.pop().elem, end=' ') def instack(self, root): if root == None: return node_stack = [] node = root while node or nodeStack: while node: nodeStack.append(node) node = node.lchild node = nodeStack.pop() print(node.elem, end=' ') node = node.rchild class Diameter(object): def get_depth(self, root): if not root: return 0 l = self.getDepth(root.lchild) r = self.getDepth(root.rchild) self.d = max(self.d, l + r) return max(l, r) + 1 def diaof_tree(self, root): self.d = 0 self.getDepth(root) return self.d if __name__ == '__main__': elems = range(10) tree = tree() trave = traversal() dia = diameter() for elem in elems: tree.addnode(elem) print('level:') trave.level(tree.root) print() print('preorder:') trave.preorder(tree.root) print() print('postorder:') trave.postorder(tree.root) print() print('poststack') trave.poststack(tree.root) print() print(dia.diaofTree(tree.root))
def f(n:Int)->Int: return (n * (n+1)) // 2 def get_numbers(how_many:Int)->List(Int): nums = [] for i in range(1, 1 + how_many): nums.append(f) return nums print(get_numbers(4)) def apply_first(funs, n): return funs[0](n) print(apply_first(get_numbers(4), 10))
def f(n: Int) -> Int: return n * (n + 1) // 2 def get_numbers(how_many: Int) -> list(Int): nums = [] for i in range(1, 1 + how_many): nums.append(f) return nums print(get_numbers(4)) def apply_first(funs, n): return funs[0](n) print(apply_first(get_numbers(4), 10))
''' Given a string s containing just the characters '(', ')', '{', '}', '[' and ']', determine if the input string is valid. An input string is valid if: Open brackets must be closed by the same type of brackets. Open brackets must be closed in the correct order. ''' class Solution: def isValid(self, s: str) -> bool: stack = [] par_dic = { ")" : "(", "}" : "{", "]" : "[" } for i in s: if i == "{" or i == "[" or i == "(": stack.append(i) else: if len(stack) > 0 and stack[-1] == par_dic[i]: stack.pop() else: return False if len(stack) == 0: return True return False
""" Given a string s containing just the characters '(', ')', '{', '}', '[' and ']', determine if the input string is valid. An input string is valid if: Open brackets must be closed by the same type of brackets. Open brackets must be closed in the correct order. """ class Solution: def is_valid(self, s: str) -> bool: stack = [] par_dic = {')': '(', '}': '{', ']': '['} for i in s: if i == '{' or i == '[' or i == '(': stack.append(i) elif len(stack) > 0 and stack[-1] == par_dic[i]: stack.pop() else: return False if len(stack) == 0: return True return False
""" Codemonk link: https://www.hackerearth.com/problem/algorithm/monk-and-palindromes-52299611/ Monk loves maths and is always curious to learn new things. Recently, he learned about palindromes. Now, he decided to give his students a problem which uses maths and the concept of palindromes. So, he wants the students to find how many different numbers they can create according to the following conditions. He will give the students an integer N which will denote the total number of digits in the final number. Also he will provide them with Q conditions where these conditions will be of form A B where the number formed by concatenating the digits from the Ath position to Bth position is a palindrome. You can learn more about palindromes here. Note- Numbers with leading zeros are also to be considered. Input - Output: First line consists of the integer N denoting the number of digits in final number. Next line consists of the integer Q denoting the number of conditions. Next Q lines will be of the form A B which denotes that the number formed by concatenating the digits from the position to position of the final number is a palindrome. Print the number of different numbers the students can create by following the conditions. Since the answer can be very large, print it modulo 10^9 + 7. Sample input: 5 2 2 4 3 5 Sample Output: 1000 """ """ To translate the problem to a disjoint set problem we have to note that if we have a palindrome from 0th position to nth, then 0-n, 1-n-1, 2-n-2, etc must have the same value. That basically means that if the range of the sequence is N and i have 10^N possible combinations, if we have a palindrome from 0 to N then we have 10^(N-N//2) combinations. We basically need to find all such groups. For example, if we have 1-5 to be a palindrome then 1 and 5 belong to one set and 2-4 to another. We can continue the same process to find the total number of groups. After doing so we can easily calculate the answer. Final complexity: O(Q*N*INVERSE_ACKERMAN) """ def find_root(array, value): if array[value] != value: array[value] = find_root(array, array[value]) return array[value] n = int(input()) q = int(input()) disjoint = [i for i in range(n)] sizes = [1] * n for _ in range(q): a, b = map(int, input().split()) ind = b for i in range(a-1, (b+a)//2): val_a = i ind -= 1 val_b = ind root_a = find_root(disjoint, val_a) root_b = find_root(disjoint, val_b) if root_a != root_b: if sizes[root_a] < sizes[root_b]: disjoint[root_a] = root_b sizes[root_b] += sizes[root_a] else: disjoint[root_b] = root_a sizes[root_a] += sizes[root_b] groups = {} for i in range(n): temp = find_root(disjoint, i) if temp in groups: continue else: groups[temp] = 1 ans = 1 temp_mod = 1000000007 for i in range(1, len(groups)+1): ans = ((ans % temp_mod) * (10 % temp_mod)) % temp_mod print(ans)
""" Codemonk link: https://www.hackerearth.com/problem/algorithm/monk-and-palindromes-52299611/ Monk loves maths and is always curious to learn new things. Recently, he learned about palindromes. Now, he decided to give his students a problem which uses maths and the concept of palindromes. So, he wants the students to find how many different numbers they can create according to the following conditions. He will give the students an integer N which will denote the total number of digits in the final number. Also he will provide them with Q conditions where these conditions will be of form A B where the number formed by concatenating the digits from the Ath position to Bth position is a palindrome. You can learn more about palindromes here. Note- Numbers with leading zeros are also to be considered. Input - Output: First line consists of the integer N denoting the number of digits in final number. Next line consists of the integer Q denoting the number of conditions. Next Q lines will be of the form A B which denotes that the number formed by concatenating the digits from the position to position of the final number is a palindrome. Print the number of different numbers the students can create by following the conditions. Since the answer can be very large, print it modulo 10^9 + 7. Sample input: 5 2 2 4 3 5 Sample Output: 1000 """ '\nTo translate the problem to a disjoint set problem we have to note that if we have a palindrome from 0th position to\nnth, then 0-n, 1-n-1, 2-n-2, etc must have the same value. That basically means that if the range of the sequence is N\nand i have 10^N possible combinations, if we have a palindrome from 0 to N then we have 10^(N-N//2) combinations. We\nbasically need to find all such groups. For example, if we have 1-5 to be a palindrome then 1 and 5 belong to one set\nand 2-4 to another. We can continue the same process to find the total number of groups. After doing so we can easily \ncalculate the answer.\n\nFinal complexity: O(Q*N*INVERSE_ACKERMAN) \n' def find_root(array, value): if array[value] != value: array[value] = find_root(array, array[value]) return array[value] n = int(input()) q = int(input()) disjoint = [i for i in range(n)] sizes = [1] * n for _ in range(q): (a, b) = map(int, input().split()) ind = b for i in range(a - 1, (b + a) // 2): val_a = i ind -= 1 val_b = ind root_a = find_root(disjoint, val_a) root_b = find_root(disjoint, val_b) if root_a != root_b: if sizes[root_a] < sizes[root_b]: disjoint[root_a] = root_b sizes[root_b] += sizes[root_a] else: disjoint[root_b] = root_a sizes[root_a] += sizes[root_b] groups = {} for i in range(n): temp = find_root(disjoint, i) if temp in groups: continue else: groups[temp] = 1 ans = 1 temp_mod = 1000000007 for i in range(1, len(groups) + 1): ans = ans % temp_mod * (10 % temp_mod) % temp_mod print(ans)
def contador(* num): # O asterisco no contador significa que pode receber diversos valores e vai colocar dentro de uma tupla for valor in num: print(f' {valor} ', end='') print(f'Recebi os valores {num} e sao ao todo {len(num)}') print('Fim') contador(2, 1, 7) contador(4, 0, 4, 6, 9, 8) def soma(* valores): s = 0 for n in valores: s+= n print(f'somando os valores{valores} tems {s}') soma(1, 2, 3) soma(4, 5, 6, 7)
def contador(*num): for valor in num: print(f' {valor} ', end='') print(f'Recebi os valores {num} e sao ao todo {len(num)}') print('Fim') contador(2, 1, 7) contador(4, 0, 4, 6, 9, 8) def soma(*valores): s = 0 for n in valores: s += n print(f'somando os valores{valores} tems {s}') soma(1, 2, 3) soma(4, 5, 6, 7)
# -*- coding: utf-8 -*- """Main module.""" def ascii_deco(vector): cadena = vector.split(',') suma = " " for i in range(len(cadena)): ascci = int(cadena[i]) caracter = chr(ascci) suma = suma + caracter print (suma)
"""Main module.""" def ascii_deco(vector): cadena = vector.split(',') suma = ' ' for i in range(len(cadena)): ascci = int(cadena[i]) caracter = chr(ascci) suma = suma + caracter print(suma)
# # This file contains the Python code from Program 11.22 of # "Data Structures and Algorithms # with Object-Oriented Design Patterns in Python" # by Bruno R. Preiss. # # Copyright (c) 2003 by Bruno R. Preiss, P.Eng. All rights reserved. # # http://www.brpreiss.com/books/opus7/programs/pgm11_22.txt # class Simulation(object): ARRIVAL = 0 DEPARTURE = 1 def __init__(self): super(Simulation, self).__init__() self._eventList = LeftistHeap() self._serverBusy = False self._numberInQueue = 0 self._serviceTime = ExponentialRV(100.0) self._interArrivalTime = ExponentialRV(100.0) def run(self, timeLimit): self._eventList.enqueue(self.Event(self.ARRIVAL, 0)) while not self._eventList.isEmpty: evt = self._eventList.dequeueMin() t = evt.time if t > timeLimit: self._eventList.purge() break if evt.type == self.ARRIVAL: if not self._serverBusy: self._serverBusy = True self._eventList.enqueue( self.Event(self.DEPARTURE, t + self._serviceTime.next)) else: self._numberInQueue += 1 self._eventList.enqueue(self.Event(self.ARRIVAL, t + self._interArrivalTime.next)) elif evt.type == self.DEPARTURE: if self._numberInQueue == 0: self._serverBusy = False else: self._numberInQueue -= 1 self._eventList.enqueue( self.Event(self.DEPARTURE, t + self._serviceTime.next)) # ...
class Simulation(object): arrival = 0 departure = 1 def __init__(self): super(Simulation, self).__init__() self._eventList = leftist_heap() self._serverBusy = False self._numberInQueue = 0 self._serviceTime = exponential_rv(100.0) self._interArrivalTime = exponential_rv(100.0) def run(self, timeLimit): self._eventList.enqueue(self.Event(self.ARRIVAL, 0)) while not self._eventList.isEmpty: evt = self._eventList.dequeueMin() t = evt.time if t > timeLimit: self._eventList.purge() break if evt.type == self.ARRIVAL: if not self._serverBusy: self._serverBusy = True self._eventList.enqueue(self.Event(self.DEPARTURE, t + self._serviceTime.next)) else: self._numberInQueue += 1 self._eventList.enqueue(self.Event(self.ARRIVAL, t + self._interArrivalTime.next)) elif evt.type == self.DEPARTURE: if self._numberInQueue == 0: self._serverBusy = False else: self._numberInQueue -= 1 self._eventList.enqueue(self.Event(self.DEPARTURE, t + self._serviceTime.next))
NETWORKS = { 3: { "name": "test", "http_provider": "https://ropsten.infura.io", "ws_provider": "wss://ropsten.infura.io/ws", "db": { "DB_DRIVER": "mysql+pymysql", "DB_HOST": "localhost", "DB_USER": "unittest_root", "DB_PASSWORD": "unittest_pwd", "DB_NAME": "verification_unittest_db", "DB_PORT": 3306, }, } } NETWORK_ID = 3 SLACK_HOOK = {} REGION_NAME = "us-east-2" JUMIO_BASE_URL = "https://netverify.com/api/v4" JUMIO_INITIATE_URL = f"{JUMIO_BASE_URL}/initiate" JUMIO_SUBMIT_URL = "" DAPP_POST_JUMIO_URL = "" JUMIO_CALLBACK_URL = "" JUMIO_WORKFLOW_ID = 200 JUMIO_API_TOKEN_SSM_KEY = "" JUMIO_API_SECRET_SSM_KEY = "" ALLOWED_VERIFICATION_REQUESTS = 2 VERIFIED_MAIL_DOMAIN = ["allowed.io"] REGISTRY_ARN = { "ORG_VERIFICATION": "" }
networks = {3: {'name': 'test', 'http_provider': 'https://ropsten.infura.io', 'ws_provider': 'wss://ropsten.infura.io/ws', 'db': {'DB_DRIVER': 'mysql+pymysql', 'DB_HOST': 'localhost', 'DB_USER': 'unittest_root', 'DB_PASSWORD': 'unittest_pwd', 'DB_NAME': 'verification_unittest_db', 'DB_PORT': 3306}}} network_id = 3 slack_hook = {} region_name = 'us-east-2' jumio_base_url = 'https://netverify.com/api/v4' jumio_initiate_url = f'{JUMIO_BASE_URL}/initiate' jumio_submit_url = '' dapp_post_jumio_url = '' jumio_callback_url = '' jumio_workflow_id = 200 jumio_api_token_ssm_key = '' jumio_api_secret_ssm_key = '' allowed_verification_requests = 2 verified_mail_domain = ['allowed.io'] registry_arn = {'ORG_VERIFICATION': ''}
# Declares an initial list with 5 values List1 = [1,2,3,4,5] # Unpacks this list into 5 separate variables a,b,c,d,e = List1 # Prints both the list and one of the unpacking variables print(List1) print(a) # Changes the value of a to 6 a = 6 # Prints both the list and a, and we can see that changing a does not change the corresponding value in the list print(a) print(List1) # Changes the value of one list entry to nine List1[1] = 9 # Prints the list and the corresponding unpacking variable to show that changing the unpacking # variable does not change the list value print(List1) print(b) # We conclude that this method does not just create a variable that points to the same location in space, but rather # fills new separately stored variables with values from the list
list1 = [1, 2, 3, 4, 5] (a, b, c, d, e) = List1 print(List1) print(a) a = 6 print(a) print(List1) List1[1] = 9 print(List1) print(b)
def sum_of_multiples(limit, multiples): multiples_set = set() for multiple in multiples: if multiple != 0: quotient, rest = divmod(limit, multiple) if rest == 0: quotient -=1 multiples_set = multiples_set.union(set(multiple * i for i in range(1,quotient+1))) return sum(multiples_set)
def sum_of_multiples(limit, multiples): multiples_set = set() for multiple in multiples: if multiple != 0: (quotient, rest) = divmod(limit, multiple) if rest == 0: quotient -= 1 multiples_set = multiples_set.union(set((multiple * i for i in range(1, quotient + 1)))) return sum(multiples_set)
# Size of the window SCREEN_WIDTH = 1200 SCREEN_HEIGHT = 800 # Default friction used for sprites, unless otherwise specified DEFAULT_FRICTION = 0.2 # Default mass used for sprites DEFAULT_MASS = 1 # Gravity GRAVITY = (0.0, -900.0) # Player forces PLAYER_MOVE_FORCE = 700 PLAYER_JUMP_IMPULSE = 600 PLAYER_PUNCH_IMPULSE = 600 # Grid-size SPRITE_SIZE = 64 # How close we get to the edge before scrolling VIEWPORT_MARGIN = 100
screen_width = 1200 screen_height = 800 default_friction = 0.2 default_mass = 1 gravity = (0.0, -900.0) player_move_force = 700 player_jump_impulse = 600 player_punch_impulse = 600 sprite_size = 64 viewport_margin = 100
class Solution: """ Time Complexity: O(N) Space Complexity: O(1) """ def balanced_string_split(self, s: str) -> int: # initialize variables L_count, R_count = 0, 0 balanced_substring_count = 0 # parse the string for char in s: # update the number of Ls and the number of Rs so far if char == 'L': L_count += 1 elif char == 'R': R_count += 1 # if the string is balanced, increment the balanced substrings count and reset the counters if L_count == R_count: balanced_substring_count += 1 L_count, R_count = 0, 0 return balanced_substring_count
class Solution: """ Time Complexity: O(N) Space Complexity: O(1) """ def balanced_string_split(self, s: str) -> int: (l_count, r_count) = (0, 0) balanced_substring_count = 0 for char in s: if char == 'L': l_count += 1 elif char == 'R': r_count += 1 if L_count == R_count: balanced_substring_count += 1 (l_count, r_count) = (0, 0) return balanced_substring_count
# -*- coding: utf-8 -*- # # Copyright 2017-2021 BigML # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """Options for BigMLer deepnet """ def get_deepnet_options(defaults=None): """Adding arguments for the deepnet subcommand """ if defaults is None: defaults = {} options = { # Input fields to include in the deepnet. '--deepnet-fields': { "action": 'store', "dest": 'deepnet_fields', "default": defaults.get('deepnet_fields', None), "help": ("Comma-separated list of input fields" " (predictors) to create the deepnet.")}, # If a BigML deepnet is provided, the script will # use it to generate predictions '--deepnet': { 'action': 'store', 'dest': 'deepnet', 'default': defaults.get('deepnet', None), 'help': "BigML deepnet Id."}, # The path to a file containing deepnet ids. '--deepnets': { 'action': 'store', 'dest': 'deepnets', 'default': defaults.get('deepnets', None), 'help': ("Path to a file containing deepnets/ids." " One deepnet" " per line (e.g., " "deepnet/50a206a8035d0706dc000376" ").")}, # If a BigML json file containing a deepnet # structure is provided, # the script will use it. '--deepnet-file': { 'action': 'store', 'dest': 'deepnet_file', 'default': defaults.get('deepnet_file', None), 'help': "BigML deepnet JSON structure file."}, # The batch_normalization. Specifies whether to normalize the outputs # of a network before being passed to the activation function or not. '--batch-normalization': { 'action': 'store_true', 'dest': 'batch_normalization', 'default': defaults.get('batch_normalization', None), 'help': ("Specifies whether to normalize the outputs of" " a network before being passed to the activation" " function or not.")}, # Stopping criteria for solver. '--default-numeric-value': { 'action': 'store', 'dest': 'default_numeric_value', 'default': defaults.get('default_numeric_value', None), 'choices': ["mean", "median", "minimum", "maximum", "zero"], 'help': ("It accepts any of the following strings to substitute" " missing numeric values across all the numeric fields" " in the dataset: 'mean', 'median', 'minimum'," " 'maximum', 'zero'.")}, # dropout to control overfitting '--dropout-rate': { 'action': 'store', 'dest': 'dropout_rate', 'type': float, 'default': defaults.get('dropout_rate', None), 'help': ("A number between 0 and 1 specifying the rate at " "which to drop weights during training to control" " overfitting")}, # Hidden layers description '--hidden-layers': { 'action': 'store', 'dest': 'hidden_layers', 'default': defaults.get('hidden_layers', None), 'help': ("A JSON file that contains a list of maps describing" " the number and type of layers in the network " "(other than the output layer, which is determined by " "the type of learning problem).")}, # Use alternate layers for residuals '--learn-residuals': { 'action': 'store_true', 'dest': 'learn_residuals', 'default': defaults.get('learn_residuals', None), 'help': ("Specifies whether alternate layers should learn a" " representation of the residuals for a given layer" " rather than the layer itself or not.")}, # Learning rate '--learning-rate': { 'action': 'store', 'dest': 'learning_rate', 'type': float, 'default': defaults.get('learning_rate', None), 'help': ("A number between 0 and 1 specifying the" " learning rate.")}, # Max iterations '--max-iterations': { 'action': 'store', 'dest': 'max_iterations', 'type': int, 'default': defaults.get('max_iterations', None), 'help': ("A number between 100 and 100000 for the maximum " "number of gradient steps to take during the" " optimization.")}, # Max training time '--max-training-time': { 'action': 'store', 'dest': 'max_training_time', 'type': int, 'default': defaults.get('max_training_time', None), 'help': ("The maximum wall-clock training time, in seconds, " "for which to train the network. ")}, # Number of hidden layers '--number-of-hidden-layers': { 'action': 'store', 'dest': 'number_of_hidden_layers', 'type': int, 'default': defaults.get('number_of_hidden_layers', None), 'help': ("The number of hidden layers to use in the network. " "If the number is greater than the length of the list" " of hidden_layers, the list is cycled until the" " desired number is reached. If the number is smaller" " than the length of the list of hidden_layers, the" " list is shortened. ")}, # Number of model candidates '--number-of-model-candidates': { 'action': 'store', 'dest': 'number_of_model_candidates', 'type': int, 'default': defaults.get('number_of_model_candidates', None), 'help': ("An integer specifying the number of models to try " "during the model search. ")}, # use search '--search': { 'action': 'store', 'dest': 'search', 'default': defaults.get('search', None), 'help': ("During the deepnet creation, BigML trains and" " evaluates over all possible network configurations," " returning the best networks found for the problem. " "The final deepnet returned by the search is a " "compromise between the top n networks found in the" " search. Since this option builds several networks," " it may be significantly slower than the" " suggest_structure technique.")}, # Suggest structure '--suggest-structure': { 'action': 'store_true', 'dest': 'suggest_structure', 'default': defaults.get('suggest_structure', None), 'help': ("An alternative to the search technique that is " "usually a more efficient way to quickly train " "and iterate deepnets and it can reach similar" " results. BigML has learned some general rules " "about what makes one network structure better" " than another for a given dataset. Given your" " dataset, BigML will automatically suggest a" " structure and a set of parameter values that" " are likely to perform well for your dataset." " This option only builds one network.")}, # Missing numeric values are used '--missing-numerics': { 'action': 'store_true', 'dest': 'missing_numerics', 'default': defaults.get('missing_numerics', True), 'help': ("Whether to create an additional binary predictor each" " numeric field which denotes a missing value. If" " false, these predictors are not created, and rows" " containing missing numeric values are dropped. ")}, # Missing numeric values are not used '--no-missing-numerics': { 'action': 'store_false', 'dest': 'missing_numerics', 'default': defaults.get('missing_numerics', True), 'help': ("Whether to create an additional binary predictor each" " numeric field which denotes a missing value. If" " true, these predictors are not created, and rows" " containing missing numeric values are dropped. ")}, # Suggest structure '--tree-embedding': { 'action': 'store_true', 'dest': 'tree_embedding', 'default': defaults.get('tree_embedding', None), 'help': ("Specify whether to learn a tree-based representation" " of the data as engineered features along with the" " raw features, essentially by learning trees over " "slices of the input space and a small amount of " "the training data. The theory is that these engineered" " features will linearize obvious non-linear " "dependencies before training begins, and so make " "learning proceed more quickly. ")}, # Does not balance fields '--no-balance-fields': { 'action': 'store_false', 'dest': 'balance_fields', 'default': defaults.get('balance_fields', True), 'help': "Do not balance fields."}, # Does not create a deepnet just a dataset. '--no-deepnet': { 'action': 'store_true', 'dest': 'no_deepnet', 'default': defaults.get('no_deepnet', False), 'help': "Do not create a deepnet."}, # The path to a file containing deepnet attributes. '--deepnet-attributes': { 'action': 'store', 'dest': 'deepnet_attributes', 'default': defaults.get('deepnet_attributes', None), 'help': ("Path to a json file describing deepnet" " attributes.")}, # Create a deepnet, not just a dataset. '--no-no-depnet': { 'action': 'store_false', 'dest': 'no_deepnet', 'default': defaults.get('no_deepnet', False), 'help': "Create a deepnet."}} return options
"""Options for BigMLer deepnet """ def get_deepnet_options(defaults=None): """Adding arguments for the deepnet subcommand """ if defaults is None: defaults = {} options = {'--deepnet-fields': {'action': 'store', 'dest': 'deepnet_fields', 'default': defaults.get('deepnet_fields', None), 'help': 'Comma-separated list of input fields (predictors) to create the deepnet.'}, '--deepnet': {'action': 'store', 'dest': 'deepnet', 'default': defaults.get('deepnet', None), 'help': 'BigML deepnet Id.'}, '--deepnets': {'action': 'store', 'dest': 'deepnets', 'default': defaults.get('deepnets', None), 'help': 'Path to a file containing deepnets/ids. One deepnet per line (e.g., deepnet/50a206a8035d0706dc000376).'}, '--deepnet-file': {'action': 'store', 'dest': 'deepnet_file', 'default': defaults.get('deepnet_file', None), 'help': 'BigML deepnet JSON structure file.'}, '--batch-normalization': {'action': 'store_true', 'dest': 'batch_normalization', 'default': defaults.get('batch_normalization', None), 'help': 'Specifies whether to normalize the outputs of a network before being passed to the activation function or not.'}, '--default-numeric-value': {'action': 'store', 'dest': 'default_numeric_value', 'default': defaults.get('default_numeric_value', None), 'choices': ['mean', 'median', 'minimum', 'maximum', 'zero'], 'help': "It accepts any of the following strings to substitute missing numeric values across all the numeric fields in the dataset: 'mean', 'median', 'minimum', 'maximum', 'zero'."}, '--dropout-rate': {'action': 'store', 'dest': 'dropout_rate', 'type': float, 'default': defaults.get('dropout_rate', None), 'help': 'A number between 0 and 1 specifying the rate at which to drop weights during training to control overfitting'}, '--hidden-layers': {'action': 'store', 'dest': 'hidden_layers', 'default': defaults.get('hidden_layers', None), 'help': 'A JSON file that contains a list of maps describing the number and type of layers in the network (other than the output layer, which is determined by the type of learning problem).'}, '--learn-residuals': {'action': 'store_true', 'dest': 'learn_residuals', 'default': defaults.get('learn_residuals', None), 'help': 'Specifies whether alternate layers should learn a representation of the residuals for a given layer rather than the layer itself or not.'}, '--learning-rate': {'action': 'store', 'dest': 'learning_rate', 'type': float, 'default': defaults.get('learning_rate', None), 'help': 'A number between 0 and 1 specifying the learning rate.'}, '--max-iterations': {'action': 'store', 'dest': 'max_iterations', 'type': int, 'default': defaults.get('max_iterations', None), 'help': 'A number between 100 and 100000 for the maximum number of gradient steps to take during the optimization.'}, '--max-training-time': {'action': 'store', 'dest': 'max_training_time', 'type': int, 'default': defaults.get('max_training_time', None), 'help': 'The maximum wall-clock training time, in seconds, for which to train the network. '}, '--number-of-hidden-layers': {'action': 'store', 'dest': 'number_of_hidden_layers', 'type': int, 'default': defaults.get('number_of_hidden_layers', None), 'help': 'The number of hidden layers to use in the network. If the number is greater than the length of the list of hidden_layers, the list is cycled until the desired number is reached. If the number is smaller than the length of the list of hidden_layers, the list is shortened. '}, '--number-of-model-candidates': {'action': 'store', 'dest': 'number_of_model_candidates', 'type': int, 'default': defaults.get('number_of_model_candidates', None), 'help': 'An integer specifying the number of models to try during the model search. '}, '--search': {'action': 'store', 'dest': 'search', 'default': defaults.get('search', None), 'help': 'During the deepnet creation, BigML trains and evaluates over all possible network configurations, returning the best networks found for the problem. The final deepnet returned by the search is a compromise between the top n networks found in the search. Since this option builds several networks, it may be significantly slower than the suggest_structure technique.'}, '--suggest-structure': {'action': 'store_true', 'dest': 'suggest_structure', 'default': defaults.get('suggest_structure', None), 'help': 'An alternative to the search technique that is usually a more efficient way to quickly train and iterate deepnets and it can reach similar results. BigML has learned some general rules about what makes one network structure better than another for a given dataset. Given your dataset, BigML will automatically suggest a structure and a set of parameter values that are likely to perform well for your dataset. This option only builds one network.'}, '--missing-numerics': {'action': 'store_true', 'dest': 'missing_numerics', 'default': defaults.get('missing_numerics', True), 'help': 'Whether to create an additional binary predictor each numeric field which denotes a missing value. If false, these predictors are not created, and rows containing missing numeric values are dropped. '}, '--no-missing-numerics': {'action': 'store_false', 'dest': 'missing_numerics', 'default': defaults.get('missing_numerics', True), 'help': 'Whether to create an additional binary predictor each numeric field which denotes a missing value. If true, these predictors are not created, and rows containing missing numeric values are dropped. '}, '--tree-embedding': {'action': 'store_true', 'dest': 'tree_embedding', 'default': defaults.get('tree_embedding', None), 'help': 'Specify whether to learn a tree-based representation of the data as engineered features along with the raw features, essentially by learning trees over slices of the input space and a small amount of the training data. The theory is that these engineered features will linearize obvious non-linear dependencies before training begins, and so make learning proceed more quickly. '}, '--no-balance-fields': {'action': 'store_false', 'dest': 'balance_fields', 'default': defaults.get('balance_fields', True), 'help': 'Do not balance fields.'}, '--no-deepnet': {'action': 'store_true', 'dest': 'no_deepnet', 'default': defaults.get('no_deepnet', False), 'help': 'Do not create a deepnet.'}, '--deepnet-attributes': {'action': 'store', 'dest': 'deepnet_attributes', 'default': defaults.get('deepnet_attributes', None), 'help': 'Path to a json file describing deepnet attributes.'}, '--no-no-depnet': {'action': 'store_false', 'dest': 'no_deepnet', 'default': defaults.get('no_deepnet', False), 'help': 'Create a deepnet.'}} return options
""" Introduction ============ The ``ox_profile`` package provides a python framework for statistical profiling. If you are using ``Flask``, then ``ox_profile`` provides a flask blueprint so that you can start/stop/analyze profiling from within your application. You can also run the profiler stand-alone without ``Flask`` as well. Why statistical profiling (and why ox\_profile)? ================================================ Python contains many profilers which instrument your code and give you exact results. A main benefit here is you know *exactly* what your program is doing. The disadvantage is that there can be significant overhead. With a statistical profiler such as ``ox_profile``, we sample a running program periodically to get a sense of what the program is doing with an overhead that can be tuned as desired. One main use case for ``ox_profile`` specifically (and statistical profiling in general) is that you can apply it to a production server to see how things work "in the wild". There are other statistical profilers out there for python (such as statprof), which are pretty good and may be better for your needs than ``ox_profile``. So why would you consider ``ox_profile``? Some possible reasons include: 1. Works on non-UNIX systems (e.g., works on Windows). - Many other statistical profilers use various excellent features of LINUX or UNIX while ``ox_profile`` only really relies on the python ``sys._current_frames`` method. 2. Simple to understand. - The code for ``ox_profile`` is fairly simple. The main work is really inside ``ox_profile.core.sampling.Sampler`` so it is easy to reason about or modify if you need slightly different profiling. 3. Flask Blueprint provided. - If you are using Flask, then you can register the ``ox_profile`` blueprint and easily get statistical profiling in your flask app. Usage ===== With Flask ---------- If you are using the python flask framework and have installed ``ox_profile`` (e.g., with ``pip install ox_profile``) then you can simply do the following in the appropriate place after initializing your app: :: from ox_profile.ui.flask.views import OX_PROF_BP app.register_blueprint(OX_PROF_BP) app.config['OX_PROF_USERS'] = {<admin_user_1>, <admin_user_2>, ...} where ``<admin_user_>``, etc. are strings referring to users who are allowed to access ``ox_profile``. Pointing your browser to the route ``/ox_profile/status`` will then show you the profiling status. By default, ``ox_profile`` starts out paused so that it will not incur any overhead for your app. Go to the ``/ox_profile/unpause`` route to unpause and begin profiling so that ``/ox_profile/status`` shows something interesting. Stand alone ----------- You can run the profiler without flask simply by starting the launcher and then running queries when convenient via something like: :: >>> from ox_profile.core import launchers >>> launcher = launchers.SimpleLauncher() >>> launcher.start() >>> launcher.unpause() >>> <call some functions> >>> query, total_records = launcher.sampler.my_db.query() >>> info = ['%s: %s' % (i.name, i.hits) for i in query] >>> print('Items in query:\n - %s' % (('\n - '.join(info)))) >>> launcher.cancel() # This turns off the profiler for good Output ====== Currently ``ox_profile`` is in alpha mode and so the output is fairly bare bones. When you look at the results of ``launcher.sampler.my_db.query()`` in stand alone mode or at the ``/ox_profile/status`` route when running with flask, what you get is a raw list of each function your program has called along with how many times that function was called in our sampling. Design ====== High Level Design ----------------- Python offers a number of ways to get profiling information. In addition to high-level profiling tools such as in the ``profile`` package, there are specialized functions like ``sys.settrace`` and ``sys.setprofile``. These are used for deterministic profiling and relatively robust but have some overhead as they are invoked on each function call. At a high level, we want a way to get a sample of what the python interpreter is doing at any give instance. The sampling approach has the advantage that by turning the sampling interval low enough, we can add arbitrarily low overhead and make profiling feasible in a production system. By taking a long enough sample, however, we should be able to get arbitrarily accurate profiling information. Low Level Design ---------------- At a low level, we do this sampling using ``sys._current_frames``. As suggested by the leading underscore, this system function may be a bit less robust. Indeed, the documentation says "This function should be used for specialized purposes only." Hopefully the core python developers will not make major changes to such a useful function. In any case, the most interesting class is the ``Sampler`` class in the ``ox_profile.core.sampling`` module. This class has a run method which does the following: 1. Uses ``sys.setswitchinterval`` to try and prevent a thread context switch. 2. Calls ``sys._current_frames`` to sample what the python interpreter is doing. 3. Updates a simple in-memory database of what functions are running. In principle, you could just use the Sampler via something like :: >>> from ox_profile.core import sampling, recording >>> sampler = sampling.Sampler(recording.CountingRecorder()) >>> def foo(): ... sampler.run() ... return 'done' ... >>> foo() The above would have the sampler take a snapshot of the stack frames when the ``foo`` function is run. Of course, this isn't very useful by itself because it just tells you that ``foo`` is being run. It could be useful if there were other threads which were running because the sampler would tell you what stack frame those threads were in. In principle, you could just call the ``Sampler.run`` method to track other threads but that still isn't very convenient. To make things easy to use, we provide the ``SimpleLauncher`` class in the ``ox_profile.core.launchers`` module as shown in the Usage section. The ``SimpleLauncher`` basically does the following: 1. Creates an instance of the ``Sampler`` class with reasonable defaults. 2. Initializes itself as a daemon thread and starts. 3. Pauses itself so the thread does nothing so as to not load the system. 4. Provides an ``unpause`` method you can use when you want to turn on profiling. 5. Provides a ``pause`` method if you want to turn off profiling. In principle, you don't need much beyond the ``Sampler`` but the ``SimpleLauncher`` makes it easier to launch a ``Sampler`` in a separate thread. Known Issues ============ Granularity ----------- With statistical profiling, we need to ask the thread to sleep for some small amount so that it does not overuse CPU resources. Sadly, the minimum sleep time (using either ``time.sleep`` or ``wait`` on a thread event) is on the order of 1--10 milliseconds on most operating systems. This means that you can not efficiently do statistical profiling at a granularity finer than about 1 millisecond. Thus you should consider statistical profiling as a tool to find the relatively slow issues in production and not a tool for optimizing issues faster than about a millisecond. """
""" Introduction ============ The ``ox_profile`` package provides a python framework for statistical profiling. If you are using ``Flask``, then ``ox_profile`` provides a flask blueprint so that you can start/stop/analyze profiling from within your application. You can also run the profiler stand-alone without ``Flask`` as well. Why statistical profiling (and why ox\\_profile)? ================================================ Python contains many profilers which instrument your code and give you exact results. A main benefit here is you know *exactly* what your program is doing. The disadvantage is that there can be significant overhead. With a statistical profiler such as ``ox_profile``, we sample a running program periodically to get a sense of what the program is doing with an overhead that can be tuned as desired. One main use case for ``ox_profile`` specifically (and statistical profiling in general) is that you can apply it to a production server to see how things work "in the wild". There are other statistical profilers out there for python (such as statprof), which are pretty good and may be better for your needs than ``ox_profile``. So why would you consider ``ox_profile``? Some possible reasons include: 1. Works on non-UNIX systems (e.g., works on Windows). - Many other statistical profilers use various excellent features of LINUX or UNIX while ``ox_profile`` only really relies on the python ``sys._current_frames`` method. 2. Simple to understand. - The code for ``ox_profile`` is fairly simple. The main work is really inside ``ox_profile.core.sampling.Sampler`` so it is easy to reason about or modify if you need slightly different profiling. 3. Flask Blueprint provided. - If you are using Flask, then you can register the ``ox_profile`` blueprint and easily get statistical profiling in your flask app. Usage ===== With Flask ---------- If you are using the python flask framework and have installed ``ox_profile`` (e.g., with ``pip install ox_profile``) then you can simply do the following in the appropriate place after initializing your app: :: from ox_profile.ui.flask.views import OX_PROF_BP app.register_blueprint(OX_PROF_BP) app.config['OX_PROF_USERS'] = {<admin_user_1>, <admin_user_2>, ...} where ``<admin_user_>``, etc. are strings referring to users who are allowed to access ``ox_profile``. Pointing your browser to the route ``/ox_profile/status`` will then show you the profiling status. By default, ``ox_profile`` starts out paused so that it will not incur any overhead for your app. Go to the ``/ox_profile/unpause`` route to unpause and begin profiling so that ``/ox_profile/status`` shows something interesting. Stand alone ----------- You can run the profiler without flask simply by starting the launcher and then running queries when convenient via something like: :: >>> from ox_profile.core import launchers >>> launcher = launchers.SimpleLauncher() >>> launcher.start() >>> launcher.unpause() >>> <call some functions> >>> query, total_records = launcher.sampler.my_db.query() >>> info = ['%s: %s' % (i.name, i.hits) for i in query] >>> print('Items in query: - %s' % ((' - '.join(info)))) >>> launcher.cancel() # This turns off the profiler for good Output ====== Currently ``ox_profile`` is in alpha mode and so the output is fairly bare bones. When you look at the results of ``launcher.sampler.my_db.query()`` in stand alone mode or at the ``/ox_profile/status`` route when running with flask, what you get is a raw list of each function your program has called along with how many times that function was called in our sampling. Design ====== High Level Design ----------------- Python offers a number of ways to get profiling information. In addition to high-level profiling tools such as in the ``profile`` package, there are specialized functions like ``sys.settrace`` and ``sys.setprofile``. These are used for deterministic profiling and relatively robust but have some overhead as they are invoked on each function call. At a high level, we want a way to get a sample of what the python interpreter is doing at any give instance. The sampling approach has the advantage that by turning the sampling interval low enough, we can add arbitrarily low overhead and make profiling feasible in a production system. By taking a long enough sample, however, we should be able to get arbitrarily accurate profiling information. Low Level Design ---------------- At a low level, we do this sampling using ``sys._current_frames``. As suggested by the leading underscore, this system function may be a bit less robust. Indeed, the documentation says "This function should be used for specialized purposes only." Hopefully the core python developers will not make major changes to such a useful function. In any case, the most interesting class is the ``Sampler`` class in the ``ox_profile.core.sampling`` module. This class has a run method which does the following: 1. Uses ``sys.setswitchinterval`` to try and prevent a thread context switch. 2. Calls ``sys._current_frames`` to sample what the python interpreter is doing. 3. Updates a simple in-memory database of what functions are running. In principle, you could just use the Sampler via something like :: >>> from ox_profile.core import sampling, recording >>> sampler = sampling.Sampler(recording.CountingRecorder()) >>> def foo(): ... sampler.run() ... return 'done' ... >>> foo() The above would have the sampler take a snapshot of the stack frames when the ``foo`` function is run. Of course, this isn't very useful by itself because it just tells you that ``foo`` is being run. It could be useful if there were other threads which were running because the sampler would tell you what stack frame those threads were in. In principle, you could just call the ``Sampler.run`` method to track other threads but that still isn't very convenient. To make things easy to use, we provide the ``SimpleLauncher`` class in the ``ox_profile.core.launchers`` module as shown in the Usage section. The ``SimpleLauncher`` basically does the following: 1. Creates an instance of the ``Sampler`` class with reasonable defaults. 2. Initializes itself as a daemon thread and starts. 3. Pauses itself so the thread does nothing so as to not load the system. 4. Provides an ``unpause`` method you can use when you want to turn on profiling. 5. Provides a ``pause`` method if you want to turn off profiling. In principle, you don't need much beyond the ``Sampler`` but the ``SimpleLauncher`` makes it easier to launch a ``Sampler`` in a separate thread. Known Issues ============ Granularity ----------- With statistical profiling, we need to ask the thread to sleep for some small amount so that it does not overuse CPU resources. Sadly, the minimum sleep time (using either ``time.sleep`` or ``wait`` on a thread event) is on the order of 1--10 milliseconds on most operating systems. This means that you can not efficiently do statistical profiling at a granularity finer than about 1 millisecond. Thus you should consider statistical profiling as a tool to find the relatively slow issues in production and not a tool for optimizing issues faster than about a millisecond. """
def opcodeI() -> int: with open("/home/thelichking/Desktop/adventOfCode/Day2/Opcodes",'r' ) as file: lines = list(map(int,file.readline().replace("\n","").split(","))) lines[1],lines[2] = 1,0 idx = 0 while idx < len(lines): cur_opcode = lines[idx] if cur_opcode == 99: return lines[0] else: if cur_opcode == 1: lines[lines[idx+3]] = lines[lines[idx+1]] + lines[lines[idx+2]] elif cur_opcode == 2: lines[lines[idx+3]] = lines[lines[idx+1]] * lines[lines[idx+2]] idx += 4 return lines[0] def opcodeII(noun, verb) -> int: with open("/home/thelichking/Desktop/adventOfCode/Day2/Opcodes",'r' ) as file: lines = list(map(int,file.readline().replace("\n","").split(","))) lines[1],lines[2] = noun,verb idx = 0 while idx < len(lines): cur_opcode = lines[idx] if cur_opcode == 99: return lines[0] else: if cur_opcode == 1: lines[lines[idx+3]] = lines[lines[idx+1]] + lines[lines[idx+2]] elif cur_opcode == 2: lines[lines[idx+3]] = lines[lines[idx+1]] * lines[lines[idx+2]] idx += 4 return lines[0] def inputII() -> int: for i in range(100): for j in range(100): if opcodeII(j,i) == 19690720: return 100*j + i if __name__=="__main__": print(inputII())
def opcode_i() -> int: with open('/home/thelichking/Desktop/adventOfCode/Day2/Opcodes', 'r') as file: lines = list(map(int, file.readline().replace('\n', '').split(','))) (lines[1], lines[2]) = (1, 0) idx = 0 while idx < len(lines): cur_opcode = lines[idx] if cur_opcode == 99: return lines[0] else: if cur_opcode == 1: lines[lines[idx + 3]] = lines[lines[idx + 1]] + lines[lines[idx + 2]] elif cur_opcode == 2: lines[lines[idx + 3]] = lines[lines[idx + 1]] * lines[lines[idx + 2]] idx += 4 return lines[0] def opcode_ii(noun, verb) -> int: with open('/home/thelichking/Desktop/adventOfCode/Day2/Opcodes', 'r') as file: lines = list(map(int, file.readline().replace('\n', '').split(','))) (lines[1], lines[2]) = (noun, verb) idx = 0 while idx < len(lines): cur_opcode = lines[idx] if cur_opcode == 99: return lines[0] else: if cur_opcode == 1: lines[lines[idx + 3]] = lines[lines[idx + 1]] + lines[lines[idx + 2]] elif cur_opcode == 2: lines[lines[idx + 3]] = lines[lines[idx + 1]] * lines[lines[idx + 2]] idx += 4 return lines[0] def input_ii() -> int: for i in range(100): for j in range(100): if opcode_ii(j, i) == 19690720: return 100 * j + i if __name__ == '__main__': print(input_ii())
class Solution: def findLUSlength(self, a, b): """ :type a: str :type b: str :rtype: int """ if a == b: return -1 return max(len(a), len(b))
class Solution: def find_lu_slength(self, a, b): """ :type a: str :type b: str :rtype: int """ if a == b: return -1 return max(len(a), len(b))
# Definition for a binary tree node. class TreeNode(object): def __init__(self, x): self.val = x self.left = None self.right = None class Solution(object): def inOrder(self, root, bstArr): if not root: return if root.left: self.inOrder(root.left, bstArr) bstArr.append(root.val) if root.right: self.inOrder(root.right, bstArr) return bstArr def findTarget(self, root, k): """ :type root: TreeNode :type k: int :rtype: bool """ ordered_tree = self.inOrder(root, []) p1 = 0 p2 = len(ordered_tree)-1 while p1 < p2: if ordered_tree[p1]+ordered_tree[p2]==k: return True elif ordered_tree[p1]+ordered_tree[p2]<k: p1+=1 else: p2-=1 return False if __name__ == "__main__": solution = Solution() head1 = TreeNode(5) head1.left = TreeNode(3) head1.right = TreeNode(6) head1.left.left = TreeNode(2) head1.left.right = TreeNode(4) head1.right.right = TreeNode(7) print(solution.inOrder(head1, [])) print(solution.findTarget(head1, 9))
class Treenode(object): def __init__(self, x): self.val = x self.left = None self.right = None class Solution(object): def in_order(self, root, bstArr): if not root: return if root.left: self.inOrder(root.left, bstArr) bstArr.append(root.val) if root.right: self.inOrder(root.right, bstArr) return bstArr def find_target(self, root, k): """ :type root: TreeNode :type k: int :rtype: bool """ ordered_tree = self.inOrder(root, []) p1 = 0 p2 = len(ordered_tree) - 1 while p1 < p2: if ordered_tree[p1] + ordered_tree[p2] == k: return True elif ordered_tree[p1] + ordered_tree[p2] < k: p1 += 1 else: p2 -= 1 return False if __name__ == '__main__': solution = solution() head1 = tree_node(5) head1.left = tree_node(3) head1.right = tree_node(6) head1.left.left = tree_node(2) head1.left.right = tree_node(4) head1.right.right = tree_node(7) print(solution.inOrder(head1, [])) print(solution.findTarget(head1, 9))
# Advent Of Code 2016, day 3, part 2 # http://adventofcode.com/2016/day/3 # solution by ByteCommander, 2016-12-03 data = open("inputs/aoc2016_3.txt").read() # parse input to vertical groups of 3 numbers rows = [[int(x) for x in line.split()] for line in data.splitlines()] vertically = [item for inner in zip(*rows) for item in inner] v3 = [vertically[i:i + 3] for i in range(0, len(vertically), 3)] counter = 0 for a, b, c in v3: if a + b > c and a + c > b and b + c > a: counter += 1 print("Answer: there are {} possible vertical triangles".format(counter))
data = open('inputs/aoc2016_3.txt').read() rows = [[int(x) for x in line.split()] for line in data.splitlines()] vertically = [item for inner in zip(*rows) for item in inner] v3 = [vertically[i:i + 3] for i in range(0, len(vertically), 3)] counter = 0 for (a, b, c) in v3: if a + b > c and a + c > b and (b + c > a): counter += 1 print('Answer: there are {} possible vertical triangles'.format(counter))