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class Point: def __init__(self, x, y): self.x = x self.y = y def __str__(self): return "("+str(self.x)+","+str(self.y)+")" class Rect: def __init__(self, p1, p2): self.lowerleft = p1 self.upperright = p2 def area(self): dx = upperright.x - lowerleft.x dy = upperright.y - lowerleft.y return dx * dy def contains(self,p): if lowerleft.x <= p.x <= upperright.x \ and lowerleft.y <= p.y <= upperright.y :#check x & y return True return False x1,y1,x2,y2 = [int(e) for e in input().split()] lowerleft = Point(x1,y1) upperright = Point(x2,y2) rect = Rect(lowerleft, upperright) print(Rect.area()) m = int(input()) for i in range(m): x,y = [int(e) for e in input().split()] p = Point(x,y) print(Rect.contains(p))
class Point: def __init__(self, x, y): self.x = x self.y = y def __str__(self): return '(' + str(self.x) + ',' + str(self.y) + ')' class Rect: def __init__(self, p1, p2): self.lowerleft = p1 self.upperright = p2 def area(self): dx = upperright.x - lowerleft.x dy = upperright.y - lowerleft.y return dx * dy def contains(self, p): if lowerleft.x <= p.x <= upperright.x and lowerleft.y <= p.y <= upperright.y: return True return False (x1, y1, x2, y2) = [int(e) for e in input().split()] lowerleft = point(x1, y1) upperright = point(x2, y2) rect = rect(lowerleft, upperright) print(Rect.area()) m = int(input()) for i in range(m): (x, y) = [int(e) for e in input().split()] p = point(x, y) print(Rect.contains(p))
FREQ = 10 # 1/delta_time based on recorded data SCENE_DUR = 5 # in seconds NUM_TS_PER_SCENE = FREQ * SCENE_DUR RADIUS_AROUND_AGENT = 50. # range to get surrounding objects, in meters ORDERED_COLUMNS = [ "timestamp", "id", "object_type", "center_x", "center_y", "heading", "status" ] # a little fixed code here but, based on recorded data, too... MAX_WORKERS = 5
freq = 10 scene_dur = 5 num_ts_per_scene = FREQ * SCENE_DUR radius_around_agent = 50.0 ordered_columns = ['timestamp', 'id', 'object_type', 'center_x', 'center_y', 'heading', 'status'] max_workers = 5
# Copyright (c) 2012 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. { 'includes': [ '../../get_vivaldi_version.gypi' ], 'variables': { 'mac_product_name': 'Vivaldi', 'mac_packaging_dir': '<(PRODUCT_DIR)/<(mac_product_name) Packaging', # <(PRODUCT_DIR) expands to $(BUILT_PRODUCTS_DIR), which doesn't # work properly in a shell script, where ${BUILT_PRODUCTS_DIR} is # needed. 'mac_packaging_sh_dir': '${BUILT_PRODUCTS_DIR}/<(mac_product_name) Packaging', 'mac_signing_key': '<!(echo $VIVALDI_SIGNING_KEY)', 'mac_signing_id': '<!(echo $VIVALDI_SIGNING_ID)', }, # variables 'targets': [ { 'target_name': 'sign_packaging', 'type': 'none', 'includes': ['sign_mac_build.gypi'] }, { # Convenience target to build a disk image. 'target_name': 'build_app_dmg', # Don't place this in the 'all' list; most won't want it. # In GYP, booleans are 0/1, not True/False. 'suppress_wildcard': 1, 'type': 'none', 'includes': ['build_mac_dmg.gypi'] }, ], }
{'includes': ['../../get_vivaldi_version.gypi'], 'variables': {'mac_product_name': 'Vivaldi', 'mac_packaging_dir': '<(PRODUCT_DIR)/<(mac_product_name) Packaging', 'mac_packaging_sh_dir': '${BUILT_PRODUCTS_DIR}/<(mac_product_name) Packaging', 'mac_signing_key': '<!(echo $VIVALDI_SIGNING_KEY)', 'mac_signing_id': '<!(echo $VIVALDI_SIGNING_ID)'}, 'targets': [{'target_name': 'sign_packaging', 'type': 'none', 'includes': ['sign_mac_build.gypi']}, {'target_name': 'build_app_dmg', 'suppress_wildcard': 1, 'type': 'none', 'includes': ['build_mac_dmg.gypi']}]}
''' 2-CLAUSE BSD Copyright (c) 2017, apple502j All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. The views and conclusions contained in the software and documentation are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the FreeBSD Project. X11/MIT License Copyright 2017 apple502j Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. CC BY 2.0 Generic, 3.0 Unported, 4.0 International, 2.1 Japan https://creativecommons.org/licenses/by/2.0/ https://creativecommons.org/licenses/by/3.0/ https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/2.1/jp/ ''' def getFormula(x1,y1,x2,y2): try: constA = float(y2-y1) / float(x2-x1) # y=ax+b ax+b=y b=y-ax constB = y1 - (constA * x1) return constA,constB except ZeroDivisionError: pass def getHalf(x1,y1,x2,y2): halfX = (x1+x2) / 2.0 halfY = (y1+y2) / 2.0 return halfX,halfY def getAcross(a1,b1,a2,b2): try: pointX = float(b2-b1) / float(a1-a2) pointY = a1*pointX + b1 return pointX,pointY except ZeroDivisionError: pass
""" 2-CLAUSE BSD Copyright (c) 2017, apple502j All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. The views and conclusions contained in the software and documentation are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the FreeBSD Project. X11/MIT License Copyright 2017 apple502j Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. CC BY 2.0 Generic, 3.0 Unported, 4.0 International, 2.1 Japan https://creativecommons.org/licenses/by/2.0/ https://creativecommons.org/licenses/by/3.0/ https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/2.1/jp/ """ def get_formula(x1, y1, x2, y2): try: const_a = float(y2 - y1) / float(x2 - x1) const_b = y1 - constA * x1 return (constA, constB) except ZeroDivisionError: pass def get_half(x1, y1, x2, y2): half_x = (x1 + x2) / 2.0 half_y = (y1 + y2) / 2.0 return (halfX, halfY) def get_across(a1, b1, a2, b2): try: point_x = float(b2 - b1) / float(a1 - a2) point_y = a1 * pointX + b1 return (pointX, pointY) except ZeroDivisionError: pass
#!/usr/bin/python # -*- coding: utf-8 -*- API_METHOD_PURCHASE='wallet.trade.buy' API_METHOD_REDEEM='wallet.trade.sell' API_METHOD_QUERY='wallet.trade.query' API_METHOD_CANCEL='wallet.trade.cancel' PAYMENT_STATUS_NOTSTARTED='Not Started' PAYMENT_STATUS_PAYSUCCESS='PaySuccess' PAYMENT_STATUS_SUCCESS='Success' PAYMENT_STATUS_EXPIREDINVALID='ExpiredInvalid' PAYMENT_STATUS_DEVCLOSE='DevClose' PAYMENT_STATUS_USERABANDON='UserAbandon' PAYMENT_STATUS_UNKONWN='UnKnow' PAYMENT_STATUS_FAILURE='Failure' PAYMENT_STATUS_STARTING='Starting' TRADE_STATUS_NOTSTARTED='NotStarted' TRADE_STATUS_PAYSUCCESS='PaidSuccess' TRADE_STATUS_SUCCESS='Success' TRADE_STATUS_EXPIREDINVALID='ExpiredInvalid' TRADE_STATUS_DEVCLOSE='DevClose' TRADE_STATUS_USERABANDON='UserAbandon' TRADE_STATUS_UNKNOWN='UnKnown' TRADE_STATUS_FAILURE='Failure' TRADE_STATUS_INPROGRESS='InProgress' ERR_USER_NOT_FOUND_BASED_ON_APPID='ERR_USER_NOT_FOUND_BASED_ON_APPID' ERR_MORE_THAN_ONE_USER_BASED_ON_APPID = 'ERR_MORE_THAN_ONE_USER_BASED_ON_APPID' ERR_UNEXPECTED_METHOD ='ERR_UNEXPECTED_METHOD' ERR_INVALID_SIGNATURE = 'ERR_INVALID_SIGNATURE' ERR_OVER_TRANS_LIMIT = 'ERR_OVER_TRANS_LIMIT' ERR_NO_RIGHT_SELL_ORDER_FOUND = 'ERR_NO_RIGHT_SELL_ORDER_FOUND' ERR_NO_PAYMENTMETHOD = "No payment method provided"
api_method_purchase = 'wallet.trade.buy' api_method_redeem = 'wallet.trade.sell' api_method_query = 'wallet.trade.query' api_method_cancel = 'wallet.trade.cancel' payment_status_notstarted = 'Not Started' payment_status_paysuccess = 'PaySuccess' payment_status_success = 'Success' payment_status_expiredinvalid = 'ExpiredInvalid' payment_status_devclose = 'DevClose' payment_status_userabandon = 'UserAbandon' payment_status_unkonwn = 'UnKnow' payment_status_failure = 'Failure' payment_status_starting = 'Starting' trade_status_notstarted = 'NotStarted' trade_status_paysuccess = 'PaidSuccess' trade_status_success = 'Success' trade_status_expiredinvalid = 'ExpiredInvalid' trade_status_devclose = 'DevClose' trade_status_userabandon = 'UserAbandon' trade_status_unknown = 'UnKnown' trade_status_failure = 'Failure' trade_status_inprogress = 'InProgress' err_user_not_found_based_on_appid = 'ERR_USER_NOT_FOUND_BASED_ON_APPID' err_more_than_one_user_based_on_appid = 'ERR_MORE_THAN_ONE_USER_BASED_ON_APPID' err_unexpected_method = 'ERR_UNEXPECTED_METHOD' err_invalid_signature = 'ERR_INVALID_SIGNATURE' err_over_trans_limit = 'ERR_OVER_TRANS_LIMIT' err_no_right_sell_order_found = 'ERR_NO_RIGHT_SELL_ORDER_FOUND' err_no_paymentmethod = 'No payment method provided'
# Problem name : Plus One # Problem link : https://leetcode.com/problems/plus-one/ # Contributor : Shreeraksha R Aithal class Solution: def plusOne(self, digits: List[int]) -> List[int]: n = len(digits) i = -1 carry = 1 while i>=-n: digits[i] = digits[i] + carry carry = digits[i]//10 digits[i] = digits[i]%10 i = i-1 if carry > 0: digits = [carry] + digits return digits
class Solution: def plus_one(self, digits: List[int]) -> List[int]: n = len(digits) i = -1 carry = 1 while i >= -n: digits[i] = digits[i] + carry carry = digits[i] // 10 digits[i] = digits[i] % 10 i = i - 1 if carry > 0: digits = [carry] + digits return digits
n = int(input()) a = list(map(int, input().split())) dp = [1] * n for i in range(1, len(a)): for j in range(i - 1, -1, -1): if a[j] == a[i]: dp[i] = max(dp[i], dp[j]) if a[j] < a[i]: dp[i] = max(dp[i], dp[j] + 1) print(max(dp)) print(dp)
n = int(input()) a = list(map(int, input().split())) dp = [1] * n for i in range(1, len(a)): for j in range(i - 1, -1, -1): if a[j] == a[i]: dp[i] = max(dp[i], dp[j]) if a[j] < a[i]: dp[i] = max(dp[i], dp[j] + 1) print(max(dp)) print(dp)
# https://leetcode.com/problems/deepest-leaves-sum/ # Definition for a binary tree node. class TreeNode: def __init__(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right def dl_sum_and_depth(root: TreeNode, depth: int) -> tuple[int, int]: if not root.left and not root.right: return root.val, depth left_sum, left_depth = ( dl_sum_and_depth(root.left, depth + 1) if root.left else (0, depth)) right_sum, right_depth = ( dl_sum_and_depth(root.right, depth + 1) if root.right else (0, depth)) if left_depth < right_depth: return right_sum, right_depth elif left_depth > right_depth: return left_sum, left_depth else: # left_depth == right_depth return left_sum + right_sum, left_depth class Solution: def deepestLeavesSum(self, root: TreeNode) -> int: result, _ = dl_sum_and_depth(root, 0) return result
class Treenode: def __init__(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right def dl_sum_and_depth(root: TreeNode, depth: int) -> tuple[int, int]: if not root.left and (not root.right): return (root.val, depth) (left_sum, left_depth) = dl_sum_and_depth(root.left, depth + 1) if root.left else (0, depth) (right_sum, right_depth) = dl_sum_and_depth(root.right, depth + 1) if root.right else (0, depth) if left_depth < right_depth: return (right_sum, right_depth) elif left_depth > right_depth: return (left_sum, left_depth) else: return (left_sum + right_sum, left_depth) class Solution: def deepest_leaves_sum(self, root: TreeNode) -> int: (result, _) = dl_sum_and_depth(root, 0) return result
n, p, s = map(int, input().split()) sets = list() for _ in range(s): sets.append(input().split()[1:]) for s in sets: if str(p) in s: print('KEEP') else: print('REMOVE')
(n, p, s) = map(int, input().split()) sets = list() for _ in range(s): sets.append(input().split()[1:]) for s in sets: if str(p) in s: print('KEEP') else: print('REMOVE')
def iter(n): sum = 0 sum1 = 0 for i in range(0,n,1): sum += 7*pow(10,i) for j in range(1,n,1): sum1 = (pow(10,j+1)-10-(9*j))/81 x = sum + sum1 return x
def iter(n): sum = 0 sum1 = 0 for i in range(0, n, 1): sum += 7 * pow(10, i) for j in range(1, n, 1): sum1 = (pow(10, j + 1) - 10 - 9 * j) / 81 x = sum + sum1 return x
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.000107695, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202773, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.00070841, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.619807, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.07328, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.615558, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.30865, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.612546, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 6.09997, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.000133834, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0224685, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.162511, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.166168, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.162645, 'Execution Unit/Register Files/Runtime Dynamic': 0.188637, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.392723, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.20326, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 4.3087, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00285011, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00285011, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00247776, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000956619, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00238702, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.010565, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0274939, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.159742, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.472511, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.542555, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.21287, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0313857, 'L2/Runtime Dynamic': 0.00792346, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 6.8313, 'Load Store Unit/Data Cache/Runtime Dynamic': 2.69691, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.180985, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.180985, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 7.68942, 'Load Store Unit/Runtime Dynamic': 3.77045, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.446278, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.892556, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store 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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.655651, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction 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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00141491, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000556425, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with 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'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0148325, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.121218, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 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'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 5.95894, 'Load Store Unit/Data Cache/Runtime Dynamic': 2.27982, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.152762, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.152762, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 6.68032, 'Load Store Unit/Runtime Dynamic': 3.18595, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store 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'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.785754, 'Memory Management Unit/Runtime Dynamic': 0.183682, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 24.7731, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 3.97702e-05, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime 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'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 3.30641e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202715, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.000212523, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution 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'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0479251, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.759937, 'Memory Management Unit/Runtime Dynamic': 0.166853, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 24.0574, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000105581, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0167894, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.196819, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.213714, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming 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Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.11869, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.11869, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 5.46625, 'Load Store Unit/Runtime Dynamic': 2.47345, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.292668, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.585336, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory 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'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000202958, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0153357, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.179258, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.194797, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 6.14251, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 1.549791922570631, 'Runtime Dynamic': 1.549791922570631, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.120956, 'Runtime Dynamic': 0.0743872, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 100.492, 'Peak Power': 133.604, 'Runtime Dynamic': 30.3591, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 100.371, 'Total Cores/Runtime Dynamic': 30.2847, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.120956, 'Total L3s/Runtime Dynamic': 0.0743872, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.000107695, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202773, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.00070841, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.619807, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.07328, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.615558, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.30865, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.612546, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 6.09997, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.000133834, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0224685, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.162511, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.166168, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.162645, 'Execution Unit/Register Files/Runtime Dynamic': 0.188637, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.392723, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.20326, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 4.3087, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00285011, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00285011, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00247776, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000956619, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00238702, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.010565, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0274939, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.159742, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.472511, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.542555, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.21287, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0313857, 'L2/Runtime Dynamic': 0.00792346, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 6.8313, 'Load Store Unit/Data Cache/Runtime Dynamic': 2.69691, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.180985, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.180985, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 7.68942, 'Load Store Unit/Runtime Dynamic': 3.77045, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.446278, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.892556, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.158385, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.158803, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0776214, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.832312, 'Memory Management Unit/Runtime Dynamic': 0.236424, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 28.1835, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000467569, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0316991, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.333958, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.366125, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 9.90249, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 1.41703e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.2027, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 8.09612e-05, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.406489, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.655651, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.330951, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.39309, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.464892, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 4.73305, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 1.52953e-05, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.01705, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.123298, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.126095, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.123313, 'Execution Unit/Register Files/Runtime Dynamic': 0.143145, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.259757, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.839221, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.98353, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch 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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00141491, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000556425, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with 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'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0148325, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.121218, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.302917, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.411712, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.857118, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0205201, 'L2/Runtime Dynamic': 0.00867599, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 5.95894, 'Load Store Unit/Data Cache/Runtime Dynamic': 2.27982, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.152762, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.152762, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 6.68032, 'Load Store Unit/Runtime Dynamic': 3.18595, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store 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'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.785754, 'Memory Management Unit/Runtime Dynamic': 0.183682, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 24.7731, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 3.97702e-05, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime 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'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 3.30641e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202715, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.000212523, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution 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Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00145609, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch 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0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.291947, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.376882, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.801293, 'Instruction 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'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0479251, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.759937, 'Memory Management Unit/Runtime Dynamic': 0.166853, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 24.0574, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000105581, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0167894, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.196819, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.213714, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 6.78696, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 5.95155e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202736, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.000407336, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.339854, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.548172, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.276699, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.16472, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.388632, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 4.58425, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 7.69545e-05, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.014255, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.1031, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.105424, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.103177, 'Execution Unit/Register Files/Runtime Dynamic': 0.119679, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.217219, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.676539, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.56906, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00172945, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00172945, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00153113, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000606278, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00151443, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00650446, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0156965, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.101347, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.281529, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.344221, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.749298, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0183368, 'L2/Runtime Dynamic': 0.00554616, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 4.90577, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.76943, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.11869, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.11869, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 5.46625, 'Load Store Unit/Runtime Dynamic': 2.47345, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.292668, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.585336, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.103869, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.104113, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0462454, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.734532, 'Memory Management Unit/Runtime Dynamic': 0.150358, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 23.3568, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000202958, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0153357, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.179258, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.194797, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 6.14251, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 1.549791922570631, 'Runtime Dynamic': 1.549791922570631, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.120956, 'Runtime Dynamic': 0.0743872, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 100.492, 'Peak Power': 133.604, 'Runtime Dynamic': 30.3591, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 100.371, 'Total Cores/Runtime Dynamic': 30.2847, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.120956, 'Total L3s/Runtime Dynamic': 0.0743872, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
#------------------------------------------------------------------------------- # Name: module1 # Purpose: # # Author: mo-mo- # # Created: 25/08/2018 # Copyright: (c) mo-mo- 2018 # Licence: <your licence> #------------------------------------------------------------------------------- n, k = map(int, input().split()) x = list(map(int, input().split()) ) b = None for i in range(n): if x[i] == 0: b = i start = True break elif x[i] > 0: b = i start = False break if not b: m = abs(x[-k]) else: if start: del x[b] k -= 1 n -= 1 if k == 0: m = 0 elif k == 1: if b-1 >= 0: m = min(x[b], abs(x[b-1])) else: m = x[b] else: if b >= k: m1 = abs(x[b-k]) else: m1 = None if b+k-1 <= n-1: m2 = abs(x[b+k-1]) else: m2 = None m = 2*10**8 for i in range(1, k): if b-i >= 0 and b-i+k-1 < n: m = min(2*abs(x[b-i])+abs(x[b-i+k-1]),abs(x[b-i])+2*abs(x[b-i+k-1]), m) if m1: m = min(m, m1) if m2: m = min(m, m2) print(m)
(n, k) = map(int, input().split()) x = list(map(int, input().split())) b = None for i in range(n): if x[i] == 0: b = i start = True break elif x[i] > 0: b = i start = False break if not b: m = abs(x[-k]) else: if start: del x[b] k -= 1 n -= 1 if k == 0: m = 0 elif k == 1: if b - 1 >= 0: m = min(x[b], abs(x[b - 1])) else: m = x[b] else: if b >= k: m1 = abs(x[b - k]) else: m1 = None if b + k - 1 <= n - 1: m2 = abs(x[b + k - 1]) else: m2 = None m = 2 * 10 ** 8 for i in range(1, k): if b - i >= 0 and b - i + k - 1 < n: m = min(2 * abs(x[b - i]) + abs(x[b - i + k - 1]), abs(x[b - i]) + 2 * abs(x[b - i + k - 1]), m) if m1: m = min(m, m1) if m2: m = min(m, m2) print(m)
pasta = "tomato, basil, garlic, salt, pasta, olive oil" apple_pie = "apple, sugar, salt, cinnamon, flour, egg, butter" ratatouille = "aubergine, carrot, onion, tomato, garlic, olive oil, pepper, salt" chocolate_cake = "chocolate, sugar, salt, flour, coffee, butter" omelette = "egg, milk, bacon, tomato, salt, pepper" word = input() list_ = [pasta, apple_pie,ratatouille, chocolate_cake, omelette] dish = ['pasta', 'apple pie', 'ratatouille', 'chocolate cake', 'omelette'] dict_ = dict(zip(dish,list_)) for ele, ingredient in list(dict_.items()): if word in ingredient: print(ele + " time!")
pasta = 'tomato, basil, garlic, salt, pasta, olive oil' apple_pie = 'apple, sugar, salt, cinnamon, flour, egg, butter' ratatouille = 'aubergine, carrot, onion, tomato, garlic, olive oil, pepper, salt' chocolate_cake = 'chocolate, sugar, salt, flour, coffee, butter' omelette = 'egg, milk, bacon, tomato, salt, pepper' word = input() list_ = [pasta, apple_pie, ratatouille, chocolate_cake, omelette] dish = ['pasta', 'apple pie', 'ratatouille', 'chocolate cake', 'omelette'] dict_ = dict(zip(dish, list_)) for (ele, ingredient) in list(dict_.items()): if word in ingredient: print(ele + ' time!')
num1 = 1 num2 = 1 num3 = 200 num100 = 000000 num2 = 100 num4 = 000 num33 = 9998 age = 12 age1 = 123 hahah = 1320389
num1 = 1 num2 = 1 num3 = 200 num100 = 0 num2 = 100 num4 = 0 num33 = 9998 age = 12 age1 = 123 hahah = 1320389
# -*- coding: utf-8 -*- __author__ = 'Sumeet Kumar' __email__ = 'kr.sumeet@gmail.com' __version__ = '1.0.0'
__author__ = 'Sumeet Kumar' __email__ = 'kr.sumeet@gmail.com' __version__ = '1.0.0'
N = int(input()) A = list(map(int, input().split())) ans = 0 for i in range(N): if A[A[i]-1] == (i+1): ans += 1 print(ans//2)
n = int(input()) a = list(map(int, input().split())) ans = 0 for i in range(N): if A[A[i] - 1] == i + 1: ans += 1 print(ans // 2)
class Solution: def repeatedSubstringPattern(self, s: str) -> bool: ans="" temp="" for i in range(0,len(s)-1): temp+=s[i] if len(s)%len(temp)==0 and temp*int((len(s)/len(temp)))==s: print(temp) return 1 return 0
class Solution: def repeated_substring_pattern(self, s: str) -> bool: ans = '' temp = '' for i in range(0, len(s) - 1): temp += s[i] if len(s) % len(temp) == 0 and temp * int(len(s) / len(temp)) == s: print(temp) return 1 return 0
# GYP file to build unit tests. { 'includes': [ 'apptype_console.gypi', ], 'targets': [ { 'target_name': 'pathops_unittest', 'type': 'executable', 'suppress_wildcard': '1', 'include_dirs' : [ '../src/core', '../src/effects', '../src/lazy', '../src/pathops', '../src/pdf', '../src/pipe/utils', '../src/utils', '../tools/', ], 'includes': [ 'pathops_unittest.gypi', ], 'sources': [ '../tests/Test.cpp', '../tests/skia_test.cpp', '../tests/Test.h', ], 'dependencies': [ 'skia_base_libs.gyp:skia_base_libs', 'effects.gyp:effects', 'flags.gyp:flags', 'images.gyp:images', 'utils.gyp:utils', ], 'conditions': [ [ 'skia_gpu == 1', { 'include_dirs': [ '../src/gpu', ], }], ], }, ], } # Local Variables: # tab-width:2 # indent-tabs-mode:nil # End: # vim: set expandtab tabstop=2 shiftwidth=2:
{'includes': ['apptype_console.gypi'], 'targets': [{'target_name': 'pathops_unittest', 'type': 'executable', 'suppress_wildcard': '1', 'include_dirs': ['../src/core', '../src/effects', '../src/lazy', '../src/pathops', '../src/pdf', '../src/pipe/utils', '../src/utils', '../tools/'], 'includes': ['pathops_unittest.gypi'], 'sources': ['../tests/Test.cpp', '../tests/skia_test.cpp', '../tests/Test.h'], 'dependencies': ['skia_base_libs.gyp:skia_base_libs', 'effects.gyp:effects', 'flags.gyp:flags', 'images.gyp:images', 'utils.gyp:utils'], 'conditions': [['skia_gpu == 1', {'include_dirs': ['../src/gpu']}]]}]}
# ============================================================================= # # ============================================================================= x =[1,2,5]+ [3,4] x.sort() # ============================================================================= # # ============================================================================= a = [[1,2], [3,4]] findMatrix(a) def findMatrix(a): n_rows = len(a) n_cols = len(a[0]) for row in range(n_rows): for col in range(n_cols): if row == 0 and col == 0: pass elif row == 0 and col!= 0: a[row][col] += a[row][col-1] elif row != 0 and col == 0: a[row][col] += a[row-1][col] elif row != 0 and col != 0: a[row][col] += a[row-1][col] + a[row][col-1] - a[row-1][col-1] else: pass return a # ============================================================================= # # ============================================================================= nodes = "(B,D) (D,E) (A,B) (C,F) (E,G) (A,C)" #( A(B(D(E(G)))) (C(F)) ) nodes = "(B,D) (D,E) (A,C) (C,F) (E,G) (A,C)" def SExpression(nodes): x = nodes.split(" ") x = [k.lstrip("(").rstrip(")") for k in x] x = [(k[0],k[2]) if k[0]<k[2] else (k[2],k[0]) for k in x] # sort order x.sort() # > 2 children counter = dict() for parent, child in x: if parent in counter: counter[parent] += 1 else: counter[parent] = 1 if any([k>2 for k in list(counter.values())]): return "E1" # duplicate edges if len(set(x)) < len(x): return "E2" root = x[0][0] if x[0][0] == x[1][0]: root_binary = True else: root_binary = False if root_binary: _x1 = [x[0]] x.remove(_x1[0]) _x2 = [x[0]] x.remove(_x2[0]) for parent, child in x: if parent == _x1[len(_x1)-1][1]: _x1.append((parent,child)) elif parent == _x2[len(_x2)-1][1]: _x2.append((parent,child)) else: pass branch1 = root + "(" + "(".join([k[1] for k in _x1]) + ")"*len(_x1) branch2 = "(" + "(".join([k[1] for k in _x2]) + ")"*len(_x2) children1= [k[1] for k in _x1] children2= [k[1] for k in _x2] # cycle detected if set(children1) in set(children2): return "E3" return "(" + branch1 + branch2 + ")" else: _x1 = [x[0]] x.remove(_x1[0]) for parent, child in x: if parent == _x1[len(_x1)-1][1]: _x1.append((parent,child)) else: pass branch1 = root + "(" + "(".join([k[1] for k in _x1]) + ")"*len(_x1) return "(" + branch1 + ")"
x = [1, 2, 5] + [3, 4] x.sort() a = [[1, 2], [3, 4]] find_matrix(a) def find_matrix(a): n_rows = len(a) n_cols = len(a[0]) for row in range(n_rows): for col in range(n_cols): if row == 0 and col == 0: pass elif row == 0 and col != 0: a[row][col] += a[row][col - 1] elif row != 0 and col == 0: a[row][col] += a[row - 1][col] elif row != 0 and col != 0: a[row][col] += a[row - 1][col] + a[row][col - 1] - a[row - 1][col - 1] else: pass return a nodes = '(B,D) (D,E) (A,B) (C,F) (E,G) (A,C)' nodes = '(B,D) (D,E) (A,C) (C,F) (E,G) (A,C)' def s_expression(nodes): x = nodes.split(' ') x = [k.lstrip('(').rstrip(')') for k in x] x = [(k[0], k[2]) if k[0] < k[2] else (k[2], k[0]) for k in x] x.sort() counter = dict() for (parent, child) in x: if parent in counter: counter[parent] += 1 else: counter[parent] = 1 if any([k > 2 for k in list(counter.values())]): return 'E1' if len(set(x)) < len(x): return 'E2' root = x[0][0] if x[0][0] == x[1][0]: root_binary = True else: root_binary = False if root_binary: _x1 = [x[0]] x.remove(_x1[0]) _x2 = [x[0]] x.remove(_x2[0]) for (parent, child) in x: if parent == _x1[len(_x1) - 1][1]: _x1.append((parent, child)) elif parent == _x2[len(_x2) - 1][1]: _x2.append((parent, child)) else: pass branch1 = root + '(' + '('.join([k[1] for k in _x1]) + ')' * len(_x1) branch2 = '(' + '('.join([k[1] for k in _x2]) + ')' * len(_x2) children1 = [k[1] for k in _x1] children2 = [k[1] for k in _x2] if set(children1) in set(children2): return 'E3' return '(' + branch1 + branch2 + ')' else: _x1 = [x[0]] x.remove(_x1[0]) for (parent, child) in x: if parent == _x1[len(_x1) - 1][1]: _x1.append((parent, child)) else: pass branch1 = root + '(' + '('.join([k[1] for k in _x1]) + ')' * len(_x1) return '(' + branch1 + ')'
class Solution: def groupAnagrams(self, strs: list) -> list: hashmap = {} for s in strs: key = ''.join(sorted(s)) if key in hashmap: hashmap[key] += [s] else: hashmap[key] = [s] return hashmap.values() v = Solution().groupAnagrams(["eat", "tea", "tan", "ate", "nat", "bat"]) print(v)
class Solution: def group_anagrams(self, strs: list) -> list: hashmap = {} for s in strs: key = ''.join(sorted(s)) if key in hashmap: hashmap[key] += [s] else: hashmap[key] = [s] return hashmap.values() v = solution().groupAnagrams(['eat', 'tea', 'tan', 'ate', 'nat', 'bat']) print(v)
#!/usr/bin/python # arithmetic.py a = 10 b = 11 c = 12 add = a + b + c sub = c - a mult = a * b div = c / 3 power = (a ** 2) print (add, sub, mult, div) print (power)
a = 10 b = 11 c = 12 add = a + b + c sub = c - a mult = a * b div = c / 3 power = a ** 2 print(add, sub, mult, div) print(power)
# # LeetCode # # Problem - 206 # URL - https://leetcode.com/problems/reverse-linked-list/ # # Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def reverseList(self, head: ListNode) -> ListNode: ansNode = None while (head != None): ansNode = ListNode(head.val, ansNode) head = head.next return ansNode
class Solution: def reverse_list(self, head: ListNode) -> ListNode: ans_node = None while head != None: ans_node = list_node(head.val, ansNode) head = head.next return ansNode
# # PySNMP MIB module ARISTA-NEXTHOP-GROUP-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ARISTA-NEXTHOP-GROUP-MIB # Produced by pysmi-0.3.4 at Wed May 1 11:25:06 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) # aristaMibs, = mibBuilder.importSymbols("ARISTA-SMI-MIB", "aristaMibs") Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint", "SingleValueConstraint") ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance") MibIdentifier, ModuleIdentity, Gauge32, IpAddress, iso, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, Bits, Counter32, TimeTicks, ObjectIdentity, Counter64, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibIdentifier", "ModuleIdentity", "Gauge32", "IpAddress", "iso", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "Bits", "Counter32", "TimeTicks", "ObjectIdentity", "Counter64", "Unsigned32") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") aristaNexthopGroupMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 30065, 3, 21)) aristaNexthopGroupMIB.setRevisions(('2016-04-17 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: aristaNexthopGroupMIB.setRevisionsDescriptions(('Initial revision of the MIB module.',)) if mibBuilder.loadTexts: aristaNexthopGroupMIB.setLastUpdated('201604170000Z') if mibBuilder.loadTexts: aristaNexthopGroupMIB.setOrganization('Arista Networks, Inc.') if mibBuilder.loadTexts: aristaNexthopGroupMIB.setContactInfo('Arista Networks, Inc. Postal: 5453 Great America Parkway Santa Clara, CA 95054 Tel: +1 408 547-5500 E-mail: snmp@arista.com') if mibBuilder.loadTexts: aristaNexthopGroupMIB.setDescription("This MIB contains information about NextHop Groups (NHG). General L3 routing creates routing table entries, each of which are associated with a nexthop. If multiple paths exist for a specific route, the route points to a set of nexthops (commonly referred as ECMP or Equal Cost MultiPath). Arista devices support a feature which allows customers to manually create a nexthop list, and use this list to route packets to the specified set of nexthop addresses. Customers can associate a tunnel type (GRE, for example) with the nexthop group, allowing relevant packets to be tunneled as well. The packet forwarding or routing decision happens in hardware. Nexthop group feature gives customers full control of how a route should be forwarded (tunneled or otherwise). The number of entries in the nexthop group is also determined by the user, and directly translates to the number of nexthop entries in the hardware for the specified route. Let's provide an example, looking at EOS CLI example. nexthop-group foo type ip-in-ip ttl 64 entry 0 tunnel-destination 10.1.1.1 entry 1 tunnel-destination 20.1.1.1 ! ip route 30.1.1.0/24 Nexthop-Group foo In the above configuration, any packet destined to 30.1.1.0/24 will be forwarded by the nexthop group 'foo'. Each entry inside the nexthop group specifies a particular nexthop ('tunnel destination') chosen by the customer. In this example, packets can be forwarded via either of the nexthop (traffic split equally between the 2 entries). This MIB module provides information relevant to the nexthop group feature, specifically the status of various nexthop groups configured, and traffic statistics.") aristaNexthopGroupMibObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1)) aristaNexthopGroupMibConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2)) class NexthopGroupName(TextualConvention, OctetString): description = 'Each nexthop group configured by the user is associated with a name, by configuration.' status = 'current' displayHint = '255a' subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 255) class NexthopGroupType(TextualConvention, Integer32): description = "A nexthop group is associated with a type, which determines the packet forwarding behavior. Type 'ip' refers to L3 IP routing. A route pointing to a nexthop group in this case is equivalent to multiple static route configuration entries each with a particular nexthop. Types 'gre', 'mpls', 'ip-in-ip' all refer to tunnel types. In this case a route pointing to the specified nexthop group is used to tunnel packets using the appropriate encapsulation to a tunnel destination. The encapsulation information depends on the tunnel type itself." status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5)) namedValues = NamedValues(("invalid", 0), ("ipInIp", 1), ("gre", 2), ("mpls", 3), ("ip", 4), ("mplsOverGre", 5)) aristaNexthopGroupTable = MibTable((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1), ) if mibBuilder.loadTexts: aristaNexthopGroupTable.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupTable.setDescription('This table contains information about the nexthop groups that are present in the device.') aristaNexthopGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1), ).setIndexNames((0, "ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupId")) if mibBuilder.loadTexts: aristaNexthopGroupEntry.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupEntry.setDescription('A conceptual row, containing information for a specific nexthop group.') aristaNexthopGroupId = MibTableColumn((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1, 1), Unsigned32()) if mibBuilder.loadTexts: aristaNexthopGroupId.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupId.setDescription('Unique index identifying a nexthop group.') aristaNexthopGroupName = MibTableColumn((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1, 2), NexthopGroupName()).setMaxAccess("readonly") if mibBuilder.loadTexts: aristaNexthopGroupName.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupName.setDescription('Unique name identifying a nexthop group.') aristaNexthopGroupType = MibTableColumn((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1, 3), NexthopGroupType()).setMaxAccess("readonly") if mibBuilder.loadTexts: aristaNexthopGroupType.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupType.setDescription('The type of the nexthop group. The encapsulation information provided for each entry in the nexthop group corresponds to the type.') aristaNexthopGroupCounterTable = MibTable((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2), ) if mibBuilder.loadTexts: aristaNexthopGroupCounterTable.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterTable.setDescription('Each nexthop group contains several entries - each entry specifies a particular nexthop through which a packet can be forwarded. There is packet and byte counter information associated with each such nexthop. This table represents the per nexthop counter information for every nexthop group.') aristaNexthopGroupCounterEntry = MibTableRow((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1), ).setIndexNames((0, "ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupId"), (0, "ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupEntryIndex")) if mibBuilder.loadTexts: aristaNexthopGroupCounterEntry.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterEntry.setDescription('A conceptual row, containing counter information for every nexthop defined inside the nexthop group.') aristaNexthopGroupEntryIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 1), Unsigned32()) if mibBuilder.loadTexts: aristaNexthopGroupEntryIndex.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupEntryIndex.setDescription("As described in the beginning of the MIB module each nexthop group can have multiple entries, one per 'destination' or 'nexthop'. Each entry within a nexthop group has a number or index as configured by the user. This MIB object represents the entry index within the nexthop group.") aristaNexthopGroupCounterIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 2), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: aristaNexthopGroupCounterIndex.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterIndex.setDescription('For every nexthop within a nexthop group, packet and byte counters are maintained by the device. Counters can be shared by multiple such nexthops and the counter index will be the same for all of those nexthops.') aristaNexthopGroupCounterPacketCount = MibTableColumn((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 3), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: aristaNexthopGroupCounterPacketCount.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterPacketCount.setDescription('The number of packets forwarded through the specific nexthop. Note that since counters are shared with multiple nexthops, the packet count is an aggregate of packets forwarded through all the relevant nexthops.') aristaNexthopGroupCounterByteCount = MibTableColumn((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 4), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: aristaNexthopGroupCounterByteCount.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterByteCount.setDescription('The byte count of packets forwarded through the specific nexthop. Note that since counters are shared with multiple nexthops, the byte count is an aggregate of packets forwarded through all the relevant nexthops.') aristaNexthopGroupMibCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 1)) aristaNexthopGroupMibGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 2)) aristaNexthopGroupMibCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 1, 1)).setObjects(("ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupGroup"), ("ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupCounterGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): aristaNexthopGroupMibCompliance = aristaNexthopGroupMibCompliance.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupMibCompliance.setDescription('The compliance statement for Arista switches that implement the ARISTA-NEXTHOP-GROUP-MIB.') aristaNexthopGroupGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 2, 1)).setObjects(("ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupName"), ("ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupType")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): aristaNexthopGroupGroup = aristaNexthopGroupGroup.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupGroup.setDescription('The collection of objects that provide nexthop group information in the system.') aristaNexthopGroupCounterGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 2, 2)).setObjects(("ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupCounterIndex"), ("ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupCounterPacketCount"), ("ARISTA-NEXTHOP-GROUP-MIB", "aristaNexthopGroupCounterByteCount")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): aristaNexthopGroupCounterGroup = aristaNexthopGroupCounterGroup.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterGroup.setDescription('The collection of objects that provide counter information for every nexthop in the nexthop group.') mibBuilder.exportSymbols("ARISTA-NEXTHOP-GROUP-MIB", aristaNexthopGroupMIB=aristaNexthopGroupMIB, PYSNMP_MODULE_ID=aristaNexthopGroupMIB, NexthopGroupName=NexthopGroupName, aristaNexthopGroupCounterIndex=aristaNexthopGroupCounterIndex, aristaNexthopGroupCounterTable=aristaNexthopGroupCounterTable, aristaNexthopGroupMibGroups=aristaNexthopGroupMibGroups, aristaNexthopGroupEntry=aristaNexthopGroupEntry, aristaNexthopGroupType=aristaNexthopGroupType, aristaNexthopGroupCounterByteCount=aristaNexthopGroupCounterByteCount, aristaNexthopGroupEntryIndex=aristaNexthopGroupEntryIndex, aristaNexthopGroupMibCompliances=aristaNexthopGroupMibCompliances, aristaNexthopGroupMibObjects=aristaNexthopGroupMibObjects, aristaNexthopGroupMibCompliance=aristaNexthopGroupMibCompliance, aristaNexthopGroupId=aristaNexthopGroupId, aristaNexthopGroupName=aristaNexthopGroupName, aristaNexthopGroupCounterGroup=aristaNexthopGroupCounterGroup, NexthopGroupType=NexthopGroupType, aristaNexthopGroupGroup=aristaNexthopGroupGroup, aristaNexthopGroupCounterEntry=aristaNexthopGroupCounterEntry, aristaNexthopGroupTable=aristaNexthopGroupTable, aristaNexthopGroupCounterPacketCount=aristaNexthopGroupCounterPacketCount, aristaNexthopGroupMibConformance=aristaNexthopGroupMibConformance)
(arista_mibs,) = mibBuilder.importSymbols('ARISTA-SMI-MIB', 'aristaMibs') (integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_range_constraint, constraints_union, constraints_intersection, value_size_constraint, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueSizeConstraint', 'SingleValueConstraint') (object_group, notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'NotificationGroup', 'ModuleCompliance') (mib_identifier, module_identity, gauge32, ip_address, iso, notification_type, mib_scalar, mib_table, mib_table_row, mib_table_column, integer32, bits, counter32, time_ticks, object_identity, counter64, unsigned32) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibIdentifier', 'ModuleIdentity', 'Gauge32', 'IpAddress', 'iso', 'NotificationType', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32', 'Bits', 'Counter32', 'TimeTicks', 'ObjectIdentity', 'Counter64', 'Unsigned32') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') arista_nexthop_group_mib = module_identity((1, 3, 6, 1, 4, 1, 30065, 3, 21)) aristaNexthopGroupMIB.setRevisions(('2016-04-17 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: aristaNexthopGroupMIB.setRevisionsDescriptions(('Initial revision of the MIB module.',)) if mibBuilder.loadTexts: aristaNexthopGroupMIB.setLastUpdated('201604170000Z') if mibBuilder.loadTexts: aristaNexthopGroupMIB.setOrganization('Arista Networks, Inc.') if mibBuilder.loadTexts: aristaNexthopGroupMIB.setContactInfo('Arista Networks, Inc. Postal: 5453 Great America Parkway Santa Clara, CA 95054 Tel: +1 408 547-5500 E-mail: snmp@arista.com') if mibBuilder.loadTexts: aristaNexthopGroupMIB.setDescription("This MIB contains information about NextHop Groups (NHG). General L3 routing creates routing table entries, each of which are associated with a nexthop. If multiple paths exist for a specific route, the route points to a set of nexthops (commonly referred as ECMP or Equal Cost MultiPath). Arista devices support a feature which allows customers to manually create a nexthop list, and use this list to route packets to the specified set of nexthop addresses. Customers can associate a tunnel type (GRE, for example) with the nexthop group, allowing relevant packets to be tunneled as well. The packet forwarding or routing decision happens in hardware. Nexthop group feature gives customers full control of how a route should be forwarded (tunneled or otherwise). The number of entries in the nexthop group is also determined by the user, and directly translates to the number of nexthop entries in the hardware for the specified route. Let's provide an example, looking at EOS CLI example. nexthop-group foo type ip-in-ip ttl 64 entry 0 tunnel-destination 10.1.1.1 entry 1 tunnel-destination 20.1.1.1 ! ip route 30.1.1.0/24 Nexthop-Group foo In the above configuration, any packet destined to 30.1.1.0/24 will be forwarded by the nexthop group 'foo'. Each entry inside the nexthop group specifies a particular nexthop ('tunnel destination') chosen by the customer. In this example, packets can be forwarded via either of the nexthop (traffic split equally between the 2 entries). This MIB module provides information relevant to the nexthop group feature, specifically the status of various nexthop groups configured, and traffic statistics.") arista_nexthop_group_mib_objects = mib_identifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1)) arista_nexthop_group_mib_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2)) class Nexthopgroupname(TextualConvention, OctetString): description = 'Each nexthop group configured by the user is associated with a name, by configuration.' status = 'current' display_hint = '255a' subtype_spec = OctetString.subtypeSpec + value_size_constraint(0, 255) class Nexthopgrouptype(TextualConvention, Integer32): description = "A nexthop group is associated with a type, which determines the packet forwarding behavior. Type 'ip' refers to L3 IP routing. A route pointing to a nexthop group in this case is equivalent to multiple static route configuration entries each with a particular nexthop. Types 'gre', 'mpls', 'ip-in-ip' all refer to tunnel types. In this case a route pointing to the specified nexthop group is used to tunnel packets using the appropriate encapsulation to a tunnel destination. The encapsulation information depends on the tunnel type itself." status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2, 3, 4, 5)) named_values = named_values(('invalid', 0), ('ipInIp', 1), ('gre', 2), ('mpls', 3), ('ip', 4), ('mplsOverGre', 5)) arista_nexthop_group_table = mib_table((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1)) if mibBuilder.loadTexts: aristaNexthopGroupTable.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupTable.setDescription('This table contains information about the nexthop groups that are present in the device.') arista_nexthop_group_entry = mib_table_row((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1)).setIndexNames((0, 'ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupId')) if mibBuilder.loadTexts: aristaNexthopGroupEntry.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupEntry.setDescription('A conceptual row, containing information for a specific nexthop group.') arista_nexthop_group_id = mib_table_column((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1, 1), unsigned32()) if mibBuilder.loadTexts: aristaNexthopGroupId.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupId.setDescription('Unique index identifying a nexthop group.') arista_nexthop_group_name = mib_table_column((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1, 2), nexthop_group_name()).setMaxAccess('readonly') if mibBuilder.loadTexts: aristaNexthopGroupName.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupName.setDescription('Unique name identifying a nexthop group.') arista_nexthop_group_type = mib_table_column((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 1, 1, 3), nexthop_group_type()).setMaxAccess('readonly') if mibBuilder.loadTexts: aristaNexthopGroupType.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupType.setDescription('The type of the nexthop group. The encapsulation information provided for each entry in the nexthop group corresponds to the type.') arista_nexthop_group_counter_table = mib_table((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2)) if mibBuilder.loadTexts: aristaNexthopGroupCounterTable.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterTable.setDescription('Each nexthop group contains several entries - each entry specifies a particular nexthop through which a packet can be forwarded. There is packet and byte counter information associated with each such nexthop. This table represents the per nexthop counter information for every nexthop group.') arista_nexthop_group_counter_entry = mib_table_row((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1)).setIndexNames((0, 'ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupId'), (0, 'ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupEntryIndex')) if mibBuilder.loadTexts: aristaNexthopGroupCounterEntry.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterEntry.setDescription('A conceptual row, containing counter information for every nexthop defined inside the nexthop group.') arista_nexthop_group_entry_index = mib_table_column((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 1), unsigned32()) if mibBuilder.loadTexts: aristaNexthopGroupEntryIndex.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupEntryIndex.setDescription("As described in the beginning of the MIB module each nexthop group can have multiple entries, one per 'destination' or 'nexthop'. Each entry within a nexthop group has a number or index as configured by the user. This MIB object represents the entry index within the nexthop group.") arista_nexthop_group_counter_index = mib_table_column((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 2), unsigned32()).setMaxAccess('readonly') if mibBuilder.loadTexts: aristaNexthopGroupCounterIndex.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterIndex.setDescription('For every nexthop within a nexthop group, packet and byte counters are maintained by the device. Counters can be shared by multiple such nexthops and the counter index will be the same for all of those nexthops.') arista_nexthop_group_counter_packet_count = mib_table_column((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 3), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: aristaNexthopGroupCounterPacketCount.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterPacketCount.setDescription('The number of packets forwarded through the specific nexthop. Note that since counters are shared with multiple nexthops, the packet count is an aggregate of packets forwarded through all the relevant nexthops.') arista_nexthop_group_counter_byte_count = mib_table_column((1, 3, 6, 1, 4, 1, 30065, 3, 21, 1, 2, 1, 4), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: aristaNexthopGroupCounterByteCount.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterByteCount.setDescription('The byte count of packets forwarded through the specific nexthop. Note that since counters are shared with multiple nexthops, the byte count is an aggregate of packets forwarded through all the relevant nexthops.') arista_nexthop_group_mib_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 1)) arista_nexthop_group_mib_groups = mib_identifier((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 2)) arista_nexthop_group_mib_compliance = module_compliance((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 1, 1)).setObjects(('ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupGroup'), ('ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupCounterGroup')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): arista_nexthop_group_mib_compliance = aristaNexthopGroupMibCompliance.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupMibCompliance.setDescription('The compliance statement for Arista switches that implement the ARISTA-NEXTHOP-GROUP-MIB.') arista_nexthop_group_group = object_group((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 2, 1)).setObjects(('ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupName'), ('ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupType')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): arista_nexthop_group_group = aristaNexthopGroupGroup.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupGroup.setDescription('The collection of objects that provide nexthop group information in the system.') arista_nexthop_group_counter_group = object_group((1, 3, 6, 1, 4, 1, 30065, 3, 21, 2, 2, 2)).setObjects(('ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupCounterIndex'), ('ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupCounterPacketCount'), ('ARISTA-NEXTHOP-GROUP-MIB', 'aristaNexthopGroupCounterByteCount')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): arista_nexthop_group_counter_group = aristaNexthopGroupCounterGroup.setStatus('current') if mibBuilder.loadTexts: aristaNexthopGroupCounterGroup.setDescription('The collection of objects that provide counter information for every nexthop in the nexthop group.') mibBuilder.exportSymbols('ARISTA-NEXTHOP-GROUP-MIB', aristaNexthopGroupMIB=aristaNexthopGroupMIB, PYSNMP_MODULE_ID=aristaNexthopGroupMIB, NexthopGroupName=NexthopGroupName, aristaNexthopGroupCounterIndex=aristaNexthopGroupCounterIndex, aristaNexthopGroupCounterTable=aristaNexthopGroupCounterTable, aristaNexthopGroupMibGroups=aristaNexthopGroupMibGroups, aristaNexthopGroupEntry=aristaNexthopGroupEntry, aristaNexthopGroupType=aristaNexthopGroupType, aristaNexthopGroupCounterByteCount=aristaNexthopGroupCounterByteCount, aristaNexthopGroupEntryIndex=aristaNexthopGroupEntryIndex, aristaNexthopGroupMibCompliances=aristaNexthopGroupMibCompliances, aristaNexthopGroupMibObjects=aristaNexthopGroupMibObjects, aristaNexthopGroupMibCompliance=aristaNexthopGroupMibCompliance, aristaNexthopGroupId=aristaNexthopGroupId, aristaNexthopGroupName=aristaNexthopGroupName, aristaNexthopGroupCounterGroup=aristaNexthopGroupCounterGroup, NexthopGroupType=NexthopGroupType, aristaNexthopGroupGroup=aristaNexthopGroupGroup, aristaNexthopGroupCounterEntry=aristaNexthopGroupCounterEntry, aristaNexthopGroupTable=aristaNexthopGroupTable, aristaNexthopGroupCounterPacketCount=aristaNexthopGroupCounterPacketCount, aristaNexthopGroupMibConformance=aristaNexthopGroupMibConformance)
class Message: def __init__(self, chat_id=""): self.chat_id = chat_id def set_text(self, text, parse_mode=None, disable_web_page_preview=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.text = text self.content_type = "text" self.parse_mode = parse_mode self.disable_web_page_preview = disable_web_page_preview self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_video(self, video, duration=None, width=None, height=None, caption=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = "video" self.video = video self.duration = duration self.width = width self.height = height self.caption = caption self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_document(self, file, caption=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = "document" self.file = file self.caption = caption self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_photo(self, photo, caption=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = "photo" self.photo = photo self.caption = caption self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_audio(self, audio, duration=None, performer=None, title=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = "audio" self.audio = audio self.duration = duration self.title = title self.performer = performer self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def callback_query(self, callback_query_id, text=None, show_alert=None): self.content_type = "callback_query" self.callback_query_id = callback_query_id self.text = text self.show_alert = show_alert return self def edit_message(self, msg_identifier, text, parse_mode=None, disable_web_page_preview=None, reply_markup=None): self.content_type = "edit_message" self.msg_identifier = msg_identifier self.text = text self.parse_mode = parse_mode self.disable_web_page_preview = disable_web_page_preview self.reply_markup = reply_markup return self
class Message: def __init__(self, chat_id=''): self.chat_id = chat_id def set_text(self, text, parse_mode=None, disable_web_page_preview=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.text = text self.content_type = 'text' self.parse_mode = parse_mode self.disable_web_page_preview = disable_web_page_preview self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_video(self, video, duration=None, width=None, height=None, caption=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = 'video' self.video = video self.duration = duration self.width = width self.height = height self.caption = caption self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_document(self, file, caption=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = 'document' self.file = file self.caption = caption self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_photo(self, photo, caption=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = 'photo' self.photo = photo self.caption = caption self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def set_audio(self, audio, duration=None, performer=None, title=None, disable_notification=None, reply_to_message_id=None, reply_markup=None): self.content_type = 'audio' self.audio = audio self.duration = duration self.title = title self.performer = performer self.disable_notification = disable_notification self.reply_to_message_id = reply_to_message_id self.reply_markup = reply_markup return self def callback_query(self, callback_query_id, text=None, show_alert=None): self.content_type = 'callback_query' self.callback_query_id = callback_query_id self.text = text self.show_alert = show_alert return self def edit_message(self, msg_identifier, text, parse_mode=None, disable_web_page_preview=None, reply_markup=None): self.content_type = 'edit_message' self.msg_identifier = msg_identifier self.text = text self.parse_mode = parse_mode self.disable_web_page_preview = disable_web_page_preview self.reply_markup = reply_markup return self
# -*- coding: utf-8 -*- __email__ = '{{ cookiecutter.author_email }}' __author__ = '{{ cookiecutter.author_name }}' __version__ = '0.0.1'
__email__ = '{{ cookiecutter.author_email }}' __author__ = '{{ cookiecutter.author_name }}' __version__ = '0.0.1'
#x = "awesome" def myfunc(): print("Python is " + x) #myfunc() '''''''''''''''''''''''''''''''''''' x = "awesome" def myfunc2(): x = "fantastic" print("Python is " + x) myfunc2() print("Python is " + x)
def myfunc(): print('Python is ' + x) '' x = 'awesome' def myfunc2(): x = 'fantastic' print('Python is ' + x) myfunc2() print('Python is ' + x)
#!/usr/bin/env python array = [ { 'fips': '01', 'abbr': 'AL', 'name': 'Alabama', }, { 'fips': '02', 'abbr': 'AK', 'name': 'Alaska', }, { 'fips': '04', 'abbr': 'AZ', 'name': 'Arizona', }, { 'fips': '05', 'abbr': 'AR', 'name': 'Arkansas', }, { 'fips': '06', 'abbr': 'CA', 'name': 'California', }, { 'fips': '08', 'abbr': 'CO', 'name': 'Colorado', }, { 'fips': '09', 'abbr': 'CT', 'name': 'Connecticut', 'votesby': 'town', }, { 'fips': '10', 'abbr': 'DE', 'name': 'Delaware', }, { 'fips': '11', 'abbr': 'DC', 'name': 'District of Columbia', }, { 'fips': '12', 'abbr': 'FL', 'name': 'Florida', }, { 'fips': '13', 'abbr': 'GA', 'name': 'Georgia', }, { 'fips': '15', 'abbr': 'HI', 'name': 'Hawaii', }, { 'fips': '16', 'abbr': 'ID', 'name': 'Idaho', }, { 'fips': '17', 'abbr': 'IL', 'name': 'Illinois', }, { 'fips': '18', 'abbr': 'IN', 'name': 'Indiana', }, { 'fips': '19', 'abbr': 'IA', 'name': 'Iowa', }, { 'fips': '20', 'abbr': 'KS', 'name': 'Kansas', 'votesby': 'district', }, { 'fips': '21', 'abbr': 'KY', 'name': 'Kentucky', }, { 'fips': '22', 'abbr': 'LA', 'name': 'Louisiana', }, { 'fips': '23', 'abbr': 'ME', 'name': 'Maine', }, { 'fips': '24', 'abbr': 'MD', 'name': 'Maryland', }, { 'fips': '25', 'abbr': 'MA', 'name': 'Massachusetts', 'votesby': 'town', }, { 'fips': '26', 'abbr': 'MI', 'name': 'Michigan', }, { 'fips': '27', 'abbr': 'MN', 'name': 'Minnesota', }, { 'fips': '28', 'abbr': 'MS', 'name': 'Mississippi', }, { 'fips': '29', 'abbr': 'MO', 'name': 'Missouri', }, { 'fips': '30', 'abbr': 'MT', 'name': 'Montana', }, { 'fips': '31', 'abbr': 'NE', 'name': 'Nebraska', }, { 'fips': '32', 'abbr': 'NV', 'name': 'Nevada', }, { 'fips': '33', 'abbr': 'NH', 'name': 'New Hampshire', 'votesby': 'town', }, { 'fips': '34', 'abbr': 'NJ', 'name': 'New Jersey', }, { 'fips': '35', 'abbr': 'NM', 'name': 'New Mexico', }, { 'fips': '36', 'abbr': 'NY', 'name': 'New York', }, { 'fips': '37', 'abbr': 'NC', 'name': 'North Carolina', }, { 'fips': '38', 'abbr': 'ND', 'name': 'North Dakota', }, { 'fips': '39', 'abbr': 'OH', 'name': 'Ohio', }, { 'fips': '40', 'abbr': 'OK', 'name': 'Oklahoma', }, { 'fips': '41', 'abbr': 'OR', 'name': 'Oregon', }, { 'fips': '42', 'abbr': 'PA', 'name': 'Pennsylvania', }, { 'fips': '44', 'abbr': 'RI', 'name': 'Rhode Island', }, { 'fips': '45', 'abbr': 'SC', 'name': 'South Carolina', }, { 'fips': '46', 'abbr': 'SD', 'name': 'South Dakota', }, { 'fips': '47', 'abbr': 'TN', 'name': 'Tennessee', }, { 'fips': '48', 'abbr': 'TX', 'name': 'Texas', }, { 'fips': '49', 'abbr': 'UT', 'name': 'Utah', }, { 'fips': '50', 'abbr': 'VT', 'name': 'Vermont', 'votesby': 'town', }, { 'fips': '51', 'abbr': 'VA', 'name': 'Virginia', }, { 'fips': '53', 'abbr': 'WA', 'name': 'Washington', }, { 'fips': '54', 'abbr': 'WV', 'name': 'West Virginia', }, { 'fips': '55', 'abbr': 'WI', 'name': 'Wisconsin', }, { 'fips': '56', 'abbr': 'WY', 'name': 'Wyoming', }, { 'fips': '72', 'abbr': 'PR', 'name': 'Puerto Rico', }, ] byAbbr = {} for state in array: byAbbr[ state['abbr'] ] = state byName = {} for state in array: byName[ state['name'] ] = state
array = [{'fips': '01', 'abbr': 'AL', 'name': 'Alabama'}, {'fips': '02', 'abbr': 'AK', 'name': 'Alaska'}, {'fips': '04', 'abbr': 'AZ', 'name': 'Arizona'}, {'fips': '05', 'abbr': 'AR', 'name': 'Arkansas'}, {'fips': '06', 'abbr': 'CA', 'name': 'California'}, {'fips': '08', 'abbr': 'CO', 'name': 'Colorado'}, {'fips': '09', 'abbr': 'CT', 'name': 'Connecticut', 'votesby': 'town'}, {'fips': '10', 'abbr': 'DE', 'name': 'Delaware'}, {'fips': '11', 'abbr': 'DC', 'name': 'District of Columbia'}, {'fips': '12', 'abbr': 'FL', 'name': 'Florida'}, {'fips': '13', 'abbr': 'GA', 'name': 'Georgia'}, {'fips': '15', 'abbr': 'HI', 'name': 'Hawaii'}, {'fips': '16', 'abbr': 'ID', 'name': 'Idaho'}, {'fips': '17', 'abbr': 'IL', 'name': 'Illinois'}, {'fips': '18', 'abbr': 'IN', 'name': 'Indiana'}, {'fips': '19', 'abbr': 'IA', 'name': 'Iowa'}, {'fips': '20', 'abbr': 'KS', 'name': 'Kansas', 'votesby': 'district'}, {'fips': '21', 'abbr': 'KY', 'name': 'Kentucky'}, {'fips': '22', 'abbr': 'LA', 'name': 'Louisiana'}, {'fips': '23', 'abbr': 'ME', 'name': 'Maine'}, {'fips': '24', 'abbr': 'MD', 'name': 'Maryland'}, {'fips': '25', 'abbr': 'MA', 'name': 'Massachusetts', 'votesby': 'town'}, {'fips': '26', 'abbr': 'MI', 'name': 'Michigan'}, {'fips': '27', 'abbr': 'MN', 'name': 'Minnesota'}, {'fips': '28', 'abbr': 'MS', 'name': 'Mississippi'}, {'fips': '29', 'abbr': 'MO', 'name': 'Missouri'}, {'fips': '30', 'abbr': 'MT', 'name': 'Montana'}, {'fips': '31', 'abbr': 'NE', 'name': 'Nebraska'}, {'fips': '32', 'abbr': 'NV', 'name': 'Nevada'}, {'fips': '33', 'abbr': 'NH', 'name': 'New Hampshire', 'votesby': 'town'}, {'fips': '34', 'abbr': 'NJ', 'name': 'New Jersey'}, {'fips': '35', 'abbr': 'NM', 'name': 'New Mexico'}, {'fips': '36', 'abbr': 'NY', 'name': 'New York'}, {'fips': '37', 'abbr': 'NC', 'name': 'North Carolina'}, {'fips': '38', 'abbr': 'ND', 'name': 'North Dakota'}, {'fips': '39', 'abbr': 'OH', 'name': 'Ohio'}, {'fips': '40', 'abbr': 'OK', 'name': 'Oklahoma'}, {'fips': '41', 'abbr': 'OR', 'name': 'Oregon'}, {'fips': '42', 'abbr': 'PA', 'name': 'Pennsylvania'}, {'fips': '44', 'abbr': 'RI', 'name': 'Rhode Island'}, {'fips': '45', 'abbr': 'SC', 'name': 'South Carolina'}, {'fips': '46', 'abbr': 'SD', 'name': 'South Dakota'}, {'fips': '47', 'abbr': 'TN', 'name': 'Tennessee'}, {'fips': '48', 'abbr': 'TX', 'name': 'Texas'}, {'fips': '49', 'abbr': 'UT', 'name': 'Utah'}, {'fips': '50', 'abbr': 'VT', 'name': 'Vermont', 'votesby': 'town'}, {'fips': '51', 'abbr': 'VA', 'name': 'Virginia'}, {'fips': '53', 'abbr': 'WA', 'name': 'Washington'}, {'fips': '54', 'abbr': 'WV', 'name': 'West Virginia'}, {'fips': '55', 'abbr': 'WI', 'name': 'Wisconsin'}, {'fips': '56', 'abbr': 'WY', 'name': 'Wyoming'}, {'fips': '72', 'abbr': 'PR', 'name': 'Puerto Rico'}] by_abbr = {} for state in array: byAbbr[state['abbr']] = state by_name = {} for state in array: byName[state['name']] = state
class Solution: def isPrefixOfWord(self, sentence: str, searchWord: str) -> int: for i, w in enumerate(sentence.split(" ")): if w.startswith(searchWord): return i + 1 return -1
class Solution: def is_prefix_of_word(self, sentence: str, searchWord: str) -> int: for (i, w) in enumerate(sentence.split(' ')): if w.startswith(searchWord): return i + 1 return -1
print(", ".join(["spam", "eggs", "ham"])) #prints "spam, eggs, ham" print("Hello ME".replace("ME", "world")) #prints "Hello world" print("This is a sentence.".startswith("This")) # prints "True" print("This is a sentence.".endswith("sentence.")) # prints "True" print("This is a sentence.".upper()) # prints "THIS IS A SENTENCE." print("AN ALL CAPS SENTENCE".lower()) #prints "an all caps sentence" print("spam, eggs, ham".split(", ")) #prints "['spam', 'eggs', 'ham']"
print(', '.join(['spam', 'eggs', 'ham'])) print('Hello ME'.replace('ME', 'world')) print('This is a sentence.'.startswith('This')) print('This is a sentence.'.endswith('sentence.')) print('This is a sentence.'.upper()) print('AN ALL CAPS SENTENCE'.lower()) print('spam, eggs, ham'.split(', '))
# Write redmonster output files # # Tim Hutchinson, , University of Utah, April 2014 # t.hutchinson@utah.edu # # July 2014 - now probably defunct, replaced by redmonster.datamgr.io.py class Output: def __init__(self, spec=None): if spec: self.set_filenames() def set_filenames(self): self.zallfile = 'spZall-%s-%s.fits' % (spec.plate, spec.mjd) self.zbestfile = 'spZbest-%s-%s.fits' % (spec.plate, spec.mjd) self.zlinefile = 'spZline-%s-%s.fits' % (spec.plate, spec.mjd) self.logfile = 'spDiag1d-%s-%s.log' % (spec.plate, spec.mjd) self.plotfile = 'spDiag1d-%s-%s.ps' % (spec.plate, spec.mjd)
class Output: def __init__(self, spec=None): if spec: self.set_filenames() def set_filenames(self): self.zallfile = 'spZall-%s-%s.fits' % (spec.plate, spec.mjd) self.zbestfile = 'spZbest-%s-%s.fits' % (spec.plate, spec.mjd) self.zlinefile = 'spZline-%s-%s.fits' % (spec.plate, spec.mjd) self.logfile = 'spDiag1d-%s-%s.log' % (spec.plate, spec.mjd) self.plotfile = 'spDiag1d-%s-%s.ps' % (spec.plate, spec.mjd)
class SplitterNotifier: def __init__(self, notifiers=None): if notifiers is None: notifiers = [] self.notifiers = notifiers def notify(self, notification, text, options=None): if options is None: options = {} for notifier in self.notifiers: notifier.notify(notification, text, options)
class Splitternotifier: def __init__(self, notifiers=None): if notifiers is None: notifiers = [] self.notifiers = notifiers def notify(self, notification, text, options=None): if options is None: options = {} for notifier in self.notifiers: notifier.notify(notification, text, options)
x=2 def increment(number): return number + 1
x = 2 def increment(number): return number + 1
LOGIN_PHASES = [ 'WaitingForAuthentication', 'WaitingForEula', 'Done', 'Disabled', 'Login', '', ] WAIT_FOR_LAUNCH_PHASES = [ 'WaitForLaunch', ] SUCCESS_PHASES = [ 'WaitForSessionExit', ] EULA_PHASES = [ 'Eula', ] CONSENT_REQUIRED_PHASES = [ 'AgeRestriction', ] BANNED_PHASES = [ ] ACCOUNT_ALIAS_CHANGE_PHASE = [ 'AccountAlias', ] REGION_MISSING_PHASES = [ 'HomeBaseCountry', ]
login_phases = ['WaitingForAuthentication', 'WaitingForEula', 'Done', 'Disabled', 'Login', ''] wait_for_launch_phases = ['WaitForLaunch'] success_phases = ['WaitForSessionExit'] eula_phases = ['Eula'] consent_required_phases = ['AgeRestriction'] banned_phases = [] account_alias_change_phase = ['AccountAlias'] region_missing_phases = ['HomeBaseCountry']
#!/usr/bin/python3 # -*- coding: utf-8 -*- ''' Class Parser parses clingo output ''' class Parser: next_line_facts = False def process_facts(self, facts): facts = facts.split(" ") facts.sort() return facts def process_line(self, line, model): line = line.replace("\n", "") if "reading" in line.lower(): return model elif "answer" in line.lower(): model['name'] = line self.next_line_facts = True elif self.next_line_facts == True: self.next_line_facts = False model['facts'] = self.process_facts(line) elif "optimization" in line.lower(): model['optimization'] = line elif "UNSATISFIABLE" in line: raise ValueError() return model def process(self, lines): output = {"optimum":False, "models": []} clean = [] model = {} capture = False for line in lines: model = self.process_line(line, model) if line == "\n": break elif line == "OPTIMUM FOUND\n": output['optimum'] = True elif model.get("optimization"): clean.append(model) model = {} output['models'] = clean return output def print_model(self, model): print(model.get("name")) for fact in model.get("facts"): print(fact) print() ''' ''' def process_file(self,file_path,answers=1): ''' DRIVER CODE ''' try: with open(file_path) as f: processed = [] content = f.readlines() parsed = self.process(content) models = parsed.get('models') answers_found = len(models) for model in models[answers_found-int(answers):]: self.print_model(model) except ValueError: # unsatisfiable print(''.join(content)) except FileNotFoundError: print("File {name} not found".format(name=file_path))
""" Class Parser parses clingo output """ class Parser: next_line_facts = False def process_facts(self, facts): facts = facts.split(' ') facts.sort() return facts def process_line(self, line, model): line = line.replace('\n', '') if 'reading' in line.lower(): return model elif 'answer' in line.lower(): model['name'] = line self.next_line_facts = True elif self.next_line_facts == True: self.next_line_facts = False model['facts'] = self.process_facts(line) elif 'optimization' in line.lower(): model['optimization'] = line elif 'UNSATISFIABLE' in line: raise value_error() return model def process(self, lines): output = {'optimum': False, 'models': []} clean = [] model = {} capture = False for line in lines: model = self.process_line(line, model) if line == '\n': break elif line == 'OPTIMUM FOUND\n': output['optimum'] = True elif model.get('optimization'): clean.append(model) model = {} output['models'] = clean return output def print_model(self, model): print(model.get('name')) for fact in model.get('facts'): print(fact) print() '\n ' def process_file(self, file_path, answers=1): """ DRIVER CODE """ try: with open(file_path) as f: processed = [] content = f.readlines() parsed = self.process(content) models = parsed.get('models') answers_found = len(models) for model in models[answers_found - int(answers):]: self.print_model(model) except ValueError: print(''.join(content)) except FileNotFoundError: print('File {name} not found'.format(name=file_path))
def turn_right(): turn_left() turn_left() turn_left() def jump(): move() turn_left() move() turn_right() move() turn_right() move() turn_left() while not at_goal(): jump()
def turn_right(): turn_left() turn_left() turn_left() def jump(): move() turn_left() move() turn_right() move() turn_right() move() turn_left() while not at_goal(): jump()
# parsetab.py # This file is automatically generated. Do not edit. # pylint: disable=W,C,R _tabversion = '3.10' _lr_method = 'LALR' _lr_signature = 'leftANDORleftPLUSMINUSleftTIMESDIVIDErightUMINUSleftLPARENRPARENAND DIVIDE FLOAT GE GT ID IE IN LE LIST LPAREN LT MINUS NE NONE NOT NUMBER OR PLUS RPAREN STR TIMES\n expr : expr PLUS expr\n | expr MINUS expr\n | expr TIMES expr\n | expr DIVIDE expr\n \n expr : expr GT expr\n | expr GE expr\n | expr IE expr\n | expr LE expr\n | expr LT expr\n | expr NE expr\n \n expr : expr OR expr\n | expr AND expr\n | NOT expr\n | expr IN expr\n \n expr : list\n \n list : LIST\n \n expr : num\n \n num : NUMBER\n \n expr : float\n \n float : FLOAT\n \n expr : str\n \n str : STR\n \n expr : none\n \n none : NONE\n \n expr : LPAREN expr RPAREN\n \n expr : MINUS expr %prec UMINUS\n ' _lr_action_items = {'NOT':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,]),'LPAREN':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,]),'MINUS':([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[2,16,2,2,-15,-17,-19,-21,-23,2,-16,-18,-20,-22,-24,2,2,2,2,2,2,2,2,2,2,2,2,2,-26,16,16,-1,-2,-3,-4,16,16,16,16,16,16,16,16,16,-25,]),'LIST':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,]),'NUMBER':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,]),'FLOAT':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,]),'STR':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,]),'NONE':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,]),'$end':([1,4,5,6,7,8,10,11,12,13,14,28,29,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[0,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,-13,-1,-2,-3,-4,-5,-6,-7,-8,-9,-10,-11,-12,-14,-25,]),'PLUS':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[15,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,15,15,-1,-2,-3,-4,15,15,15,15,15,15,15,15,15,-25,]),'TIMES':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[17,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,17,17,17,17,-3,-4,17,17,17,17,17,17,17,17,17,-25,]),'DIVIDE':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[18,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,18,18,18,18,-3,-4,18,18,18,18,18,18,18,18,18,-25,]),'GT':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[19,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,19,19,-1,-2,-3,-4,19,19,19,19,19,19,-11,-12,19,-25,]),'GE':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[20,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,20,20,-1,-2,-3,-4,20,20,20,20,20,20,-11,-12,20,-25,]),'IE':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[21,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,21,21,-1,-2,-3,-4,21,21,21,21,21,21,-11,-12,21,-25,]),'LE':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[22,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,22,22,-1,-2,-3,-4,22,22,22,22,22,22,-11,-12,22,-25,]),'LT':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[23,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,23,23,-1,-2,-3,-4,23,23,23,23,23,23,-11,-12,23,-25,]),'NE':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[24,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,24,24,-1,-2,-3,-4,24,24,24,24,24,24,-11,-12,24,-25,]),'OR':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[25,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,25,25,-1,-2,-3,-4,25,25,25,25,25,25,-11,-12,25,-25,]),'AND':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[26,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,26,26,-1,-2,-3,-4,26,26,26,26,26,26,-11,-12,26,-25,]),'IN':([1,4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[27,-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,27,27,-1,-2,-3,-4,27,27,27,27,27,27,-11,-12,27,-25,]),'RPAREN':([4,5,6,7,8,10,11,12,13,14,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,],[-15,-17,-19,-21,-23,-16,-18,-20,-22,-24,-26,-13,44,-1,-2,-3,-4,-5,-6,-7,-8,-9,-10,-11,-12,-14,-25,]),} _lr_action = {} for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = {} _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'expr':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[1,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,]),'list':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,]),'num':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,]),'float':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,]),'str':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,]),'none':([0,2,3,9,15,16,17,18,19,20,21,22,23,24,25,26,27,],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,]),} _lr_goto = {} for _k, _v in _lr_goto_items.items(): for _x, _y in zip(_v[0], _v[1]): if not _x in _lr_goto: _lr_goto[_x] = {} _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> expr","S'",1,None,None,None), ('expr -> expr PLUS expr','expr',3,'p_expr','demo.py',94), ('expr -> expr MINUS expr','expr',3,'p_expr','demo.py',95), ('expr -> expr TIMES expr','expr',3,'p_expr','demo.py',96), ('expr -> expr DIVIDE expr','expr',3,'p_expr','demo.py',97), ('expr -> expr GT expr','expr',3,'p_compare','demo.py',111), ('expr -> expr GE expr','expr',3,'p_compare','demo.py',112), ('expr -> expr IE expr','expr',3,'p_compare','demo.py',113), ('expr -> expr LE expr','expr',3,'p_compare','demo.py',114), ('expr -> expr LT expr','expr',3,'p_compare','demo.py',115), ('expr -> expr NE expr','expr',3,'p_compare','demo.py',116), ('expr -> expr OR expr','expr',3,'p_logic','demo.py',133), ('expr -> expr AND expr','expr',3,'p_logic','demo.py',134), ('expr -> NOT expr','expr',2,'p_logic','demo.py',135), ('expr -> expr IN expr','expr',3,'p_logic','demo.py',136), ('expr -> list','expr',1,'p_expr_list','demo.py',150), ('list -> LIST','list',1,'p_list','demo.py',157), ('expr -> num','expr',1,'p_expr_num','demo.py',163), ('num -> NUMBER','num',1,'p_num','demo.py',170), ('expr -> float','expr',1,'p_expr_float','demo.py',176), ('float -> FLOAT','float',1,'p_float','demo.py',183), ('expr -> str','expr',1,'p_expr_str','demo.py',190), ('str -> STR','str',1,'p_str','demo.py',197), ('expr -> none','expr',1,'p_expr_none','demo.py',203), ('none -> NONE','none',1,'p_none','demo.py',209), ('expr -> LPAREN expr RPAREN','expr',3,'p_group','demo.py',215), ('expr -> MINUS expr','expr',2,'p_expr_uminus','demo.py',221), ]
_tabversion = '3.10' _lr_method = 'LALR' _lr_signature = 'leftANDORleftPLUSMINUSleftTIMESDIVIDErightUMINUSleftLPARENRPARENAND DIVIDE FLOAT GE GT ID IE IN LE LIST LPAREN LT MINUS NE NONE NOT NUMBER OR PLUS RPAREN STR TIMES\n expr : expr PLUS expr\n | expr MINUS expr\n | expr TIMES expr\n | expr DIVIDE expr\n \n expr : expr GT expr\n | expr GE expr\n | expr IE expr\n | expr LE expr\n | expr LT expr\n | expr NE expr\n \n expr : expr OR expr\n | expr AND expr\n | NOT expr\n | expr IN expr\n \n expr : list\n \n list : LIST\n \n expr : num\n \n num : NUMBER\n \n expr : float\n \n float : FLOAT\n \n expr : str\n \n str : STR\n \n expr : none\n \n none : NONE\n \n expr : LPAREN expr RPAREN\n \n expr : MINUS expr %prec UMINUS\n ' _lr_action_items = {'NOT': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]), 'LPAREN': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9]), 'MINUS': ([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [2, 16, 2, 2, -15, -17, -19, -21, -23, 2, -16, -18, -20, -22, -24, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, -26, 16, 16, -1, -2, -3, -4, 16, 16, 16, 16, 16, 16, 16, 16, 16, -25]), 'LIST': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]), 'NUMBER': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11]), 'FLOAT': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12]), 'STR': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]), 'NONE': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14]), '$end': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [0, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, -13, -1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11, -12, -14, -25]), 'PLUS': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [15, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 15, 15, -1, -2, -3, -4, 15, 15, 15, 15, 15, 15, 15, 15, 15, -25]), 'TIMES': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [17, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 17, 17, 17, 17, -3, -4, 17, 17, 17, 17, 17, 17, 17, 17, 17, -25]), 'DIVIDE': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [18, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 18, 18, 18, 18, -3, -4, 18, 18, 18, 18, 18, 18, 18, 18, 18, -25]), 'GT': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [19, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 19, 19, -1, -2, -3, -4, 19, 19, 19, 19, 19, 19, -11, -12, 19, -25]), 'GE': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [20, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 20, 20, -1, -2, -3, -4, 20, 20, 20, 20, 20, 20, -11, -12, 20, -25]), 'IE': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [21, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 21, 21, -1, -2, -3, -4, 21, 21, 21, 21, 21, 21, -11, -12, 21, -25]), 'LE': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [22, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 22, 22, -1, -2, -3, -4, 22, 22, 22, 22, 22, 22, -11, -12, 22, -25]), 'LT': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [23, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 23, 23, -1, -2, -3, -4, 23, 23, 23, 23, 23, 23, -11, -12, 23, -25]), 'NE': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [24, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 24, 24, -1, -2, -3, -4, 24, 24, 24, 24, 24, 24, -11, -12, 24, -25]), 'OR': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [25, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 25, 25, -1, -2, -3, -4, 25, 25, 25, 25, 25, 25, -11, -12, 25, -25]), 'AND': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [26, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 26, 26, -1, -2, -3, -4, 26, 26, 26, 26, 26, 26, -11, -12, 26, -25]), 'IN': ([1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [27, -15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, 27, 27, -1, -2, -3, -4, 27, 27, 27, 27, 27, 27, -11, -12, 27, -25]), 'RPAREN': ([4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [-15, -17, -19, -21, -23, -16, -18, -20, -22, -24, -26, -13, 44, -1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11, -12, -14, -25])} _lr_action = {} for (_k, _v) in _lr_action_items.items(): for (_x, _y) in zip(_v[0], _v[1]): if not _x in _lr_action: _lr_action[_x] = {} _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'expr': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [1, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]), 'list': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4]), 'num': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]), 'float': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6]), 'str': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]), 'none': ([0, 2, 3, 9, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8])} _lr_goto = {} for (_k, _v) in _lr_goto_items.items(): for (_x, _y) in zip(_v[0], _v[1]): if not _x in _lr_goto: _lr_goto[_x] = {} _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [("S' -> expr", "S'", 1, None, None, None), ('expr -> expr PLUS expr', 'expr', 3, 'p_expr', 'demo.py', 94), ('expr -> expr MINUS expr', 'expr', 3, 'p_expr', 'demo.py', 95), ('expr -> expr TIMES expr', 'expr', 3, 'p_expr', 'demo.py', 96), ('expr -> expr DIVIDE expr', 'expr', 3, 'p_expr', 'demo.py', 97), ('expr -> expr GT expr', 'expr', 3, 'p_compare', 'demo.py', 111), ('expr -> expr GE expr', 'expr', 3, 'p_compare', 'demo.py', 112), ('expr -> expr IE expr', 'expr', 3, 'p_compare', 'demo.py', 113), ('expr -> expr LE expr', 'expr', 3, 'p_compare', 'demo.py', 114), ('expr -> expr LT expr', 'expr', 3, 'p_compare', 'demo.py', 115), ('expr -> expr NE expr', 'expr', 3, 'p_compare', 'demo.py', 116), ('expr -> expr OR expr', 'expr', 3, 'p_logic', 'demo.py', 133), ('expr -> expr AND expr', 'expr', 3, 'p_logic', 'demo.py', 134), ('expr -> NOT expr', 'expr', 2, 'p_logic', 'demo.py', 135), ('expr -> expr IN expr', 'expr', 3, 'p_logic', 'demo.py', 136), ('expr -> list', 'expr', 1, 'p_expr_list', 'demo.py', 150), ('list -> LIST', 'list', 1, 'p_list', 'demo.py', 157), ('expr -> num', 'expr', 1, 'p_expr_num', 'demo.py', 163), ('num -> NUMBER', 'num', 1, 'p_num', 'demo.py', 170), ('expr -> float', 'expr', 1, 'p_expr_float', 'demo.py', 176), ('float -> FLOAT', 'float', 1, 'p_float', 'demo.py', 183), ('expr -> str', 'expr', 1, 'p_expr_str', 'demo.py', 190), ('str -> STR', 'str', 1, 'p_str', 'demo.py', 197), ('expr -> none', 'expr', 1, 'p_expr_none', 'demo.py', 203), ('none -> NONE', 'none', 1, 'p_none', 'demo.py', 209), ('expr -> LPAREN expr RPAREN', 'expr', 3, 'p_group', 'demo.py', 215), ('expr -> MINUS expr', 'expr', 2, 'p_expr_uminus', 'demo.py', 221)]
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################################## # import_file.json # ################################## attributes = { "type": "array", "items": { "type": "object", "properties": {"id": {"type": "integer"}, "groupId": {"type": "integer"}}, "required": ["id", "groupId"], }, } bbox = { "$id": "https://darwin.v7labs.com/schemas/supperannotate/bounding_box", "description": "Schema of a Bounding Box", "title": "Bounding Box", "default": { "type": "bbox", "points": {"x1": 1223.1, "x2": 1420.2, "y1": 607.3, "y2": 1440,}, "classId": 1, "attributes": [], }, "examples": [ { "type": "bbox", "points": {"x1": 587.5, "x2": 1420.2, "y1": 607.3, "y2": 1440,}, "classId": 1, "attributes": [{"id": 1, "groupId": 2}], } ], "type": "object", "properties": { "attributes": attributes, "classId": {"type": "integer"}, "type": {"enum": ["bbox"]}, "points": { "type": "object", "properties": { "x1": {"type": "number",}, "x2": {"type": "number",}, "y1": {"type": "number",}, "y2": {"type": "number",}, }, "required": ["x1", "x2", "y1", "y2"], }, }, "required": ["points", "type", "classId", "attributes"], } polygon = { "$id": "https://darwin.v7labs.com/schemas/supperannotate/polygon", "description": "Schema of a Polygon", "title": "Polygon", "default": {"type": "polygon", "points": [1, 2, 3, 4], "classId": 1}, "examples": [ {"type": "polygon", "points": [1, 2, 3, 4], "classId": 1, "attributes": [{"id": 1, "groupId": 2}]}, {"type": "polygon", "points": [], "classId": 1, "attributes": []}, ], "type": "object", "properties": { "attributes": attributes, "classId": {"type": "integer"}, "points": {"type": "array", "items": {"type": "number"}}, "type": {"enum": ["polygon"]}, }, "required": ["points", "type", "classId", "attributes"], } polyline = { "$id": "https://darwin.v7labs.com/schemas/supperannotate/polyline", "description": "Schema of a Polyline", "title": "Polyline", "default": {"type": "polyline", "points": [1, 2, 3, 4], "classId": 1}, "examples": [ {"type": "polyline", "points": [1, 2, 3, 4], "classId": 1, "attributes": [{"id": 1, "groupId": 2}]}, {"type": "polyline", "points": [], "classId": 1, "attributes": []}, ], "type": "object", "properties": { "attributes": attributes, "classId": {"type": "integer"}, "points": {"type": "array", "items": {"type": "number"}}, "type": {"enum": ["polyline"]}, }, "required": ["points", "type", "classId", "attributes"], } cuboid = { "$id": "https://darwin.v7labs.com/schemas/supperannotate/cuboid", "description": "Schema of a Cuboid", "title": "Cuboid", "default": { "type": "cuboid", "points": { "f1": {"x": 1223.1, "y": 587.5}, "f2": {"x": 1540.3, "y": 1420.2}, "r1": {"x": 1286.2, "y": 607.3}, "r2": {"x": 1603.4, "y": 1440}, }, "classId": 1, "attributes": [{"id": 1, "groupId": 2}], }, "examples": [ { "type": "cuboid", "points": { "f1": {"x": 1223.1, "y": 587.5}, "f2": {"x": 1540.3, "y": 1420.2}, "r1": {"x": 1286.2, "y": 607.3}, "r2": {"x": 1603.4, "y": 1440}, }, "classId": 1, "attributes": [], } ], "type": "object", "properties": { "attributes": attributes, "classId": {"type": "integer"}, "type": {"enum": ["cuboid"]}, "points": { "type": "object", "properties": { "f1": { "type": "object", "properties": {"x": {"type": "number"}, "y": {"type": "number"}}, "required": ["x", "y"], }, "f2": { "type": "object", "properties": {"x": {"type": "number"}, "y": {"type": "number"}}, "required": ["x", "y"], }, "r1": { "type": "object", "properties": {"x": {"type": "number"}, "y": {"type": "number"}}, "required": ["x", "y"], }, "r2": { "type": "object", "properties": {"x": {"type": "number"}, "y": {"type": "number"}}, "required": ["x", "y"], }, }, "required": ["f1", "f2", "r1", "r2"], }, }, "required": ["points", "type", "classId", "attributes"], } ellipse = { "$id": "https://darwin.v7labs.com/schemas/supperannotate/ellipse", "description": "Schema of an Ellipse", "title": "Ellipse", "default": { "type": "ellipse", "cx": 377.46, "cy": 806.18, "rx": 316.36, "ry": 134.18, "angle": 0, "classId": 1, "attributes": [], }, "examples": [ { "type": "ellipse", "cx": 377.46, "cy": 806.18, "rx": 316.36, "ry": 134.18, "angle": 14.66, "classId": 1, "attributes": [{"id": 1, "groupId": 2}], } ], "type": "object", "properties": { "attributes": attributes, "classId": {"type": "integer"}, "cx": {"type": "number"}, "cy": {"type": "number"}, "rx": {"type": "number"}, "ry": {"type": "number"}, "angle": {"type": "number"}, "type": {"enum": ["ellipse"]}, }, "required": ["cx", "cy", "rx", "ry", "angle", "type", "classId", "attributes"], } point = { "$id": "https://darwin.v7labs.com/schemas/supperannotate/point", "description": "Schema of a Point", "title": "Point", "default": {"type": "point", "x": 1.2, "y": 2.5, "classId": 1, "attributes": []}, "examples": [ {"type": "point", "x": 1.2, "y": 2.5, "classId": 1, "attributes": []}, {"type": "point", "x": 0, "y": 1, "classId": 2, "attributes": [{"id": 1, "groupId": 2}]}, ], "type": "object", "properties": { "attributes": attributes, "classId": {"type": "integer"}, "x": {"type": "number"}, "y": {"type": "number"}, "type": {"enum": ["point"]}, }, "required": ["x", "y", "type", "classId", "attributes"], } superannotate_export = { "type": "object", "required": ["instances", "metadata", "tags"], "properties": { "instances": {"type": "array", "items": {"oneOf": [point, ellipse, cuboid, polygon, bbox, polyline]},}, "metadata": {"type": "object", "required": ["name"], "properties": {"name": {"type": "string"}}}, "tags": {"type": "array", "items": {"type": "string"}}, }, } ################################## # classes.json # ################################## attribute_groups = { "type": "array", "items": { "type": "object", "required": ["id", "name", "attributes"], "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "attributes": { "type": "array", "itmes": { "type": "object", "required": ["id", "name"], "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}, }, }, }, }, } classes_export = { "type": "array", "items": { "type": "object", "required": ["name", "id", "attribute_groups"], "properties": {"name": {"type": "string"}, "id": {"type": "integer"}, "attribute_groups": attribute_groups}, }, }
attributes = {'type': 'array', 'items': {'type': 'object', 'properties': {'id': {'type': 'integer'}, 'groupId': {'type': 'integer'}}, 'required': ['id', 'groupId']}} bbox = {'$id': 'https://darwin.v7labs.com/schemas/supperannotate/bounding_box', 'description': 'Schema of a Bounding Box', 'title': 'Bounding Box', 'default': {'type': 'bbox', 'points': {'x1': 1223.1, 'x2': 1420.2, 'y1': 607.3, 'y2': 1440}, 'classId': 1, 'attributes': []}, 'examples': [{'type': 'bbox', 'points': {'x1': 587.5, 'x2': 1420.2, 'y1': 607.3, 'y2': 1440}, 'classId': 1, 'attributes': [{'id': 1, 'groupId': 2}]}], 'type': 'object', 'properties': {'attributes': attributes, 'classId': {'type': 'integer'}, 'type': {'enum': ['bbox']}, 'points': {'type': 'object', 'properties': {'x1': {'type': 'number'}, 'x2': {'type': 'number'}, 'y1': {'type': 'number'}, 'y2': {'type': 'number'}}, 'required': ['x1', 'x2', 'y1', 'y2']}}, 'required': ['points', 'type', 'classId', 'attributes']} polygon = {'$id': 'https://darwin.v7labs.com/schemas/supperannotate/polygon', 'description': 'Schema of a Polygon', 'title': 'Polygon', 'default': {'type': 'polygon', 'points': [1, 2, 3, 4], 'classId': 1}, 'examples': [{'type': 'polygon', 'points': [1, 2, 3, 4], 'classId': 1, 'attributes': [{'id': 1, 'groupId': 2}]}, {'type': 'polygon', 'points': [], 'classId': 1, 'attributes': []}], 'type': 'object', 'properties': {'attributes': attributes, 'classId': {'type': 'integer'}, 'points': {'type': 'array', 'items': {'type': 'number'}}, 'type': {'enum': ['polygon']}}, 'required': ['points', 'type', 'classId', 'attributes']} polyline = {'$id': 'https://darwin.v7labs.com/schemas/supperannotate/polyline', 'description': 'Schema of a Polyline', 'title': 'Polyline', 'default': {'type': 'polyline', 'points': [1, 2, 3, 4], 'classId': 1}, 'examples': [{'type': 'polyline', 'points': [1, 2, 3, 4], 'classId': 1, 'attributes': [{'id': 1, 'groupId': 2}]}, {'type': 'polyline', 'points': [], 'classId': 1, 'attributes': []}], 'type': 'object', 'properties': {'attributes': attributes, 'classId': {'type': 'integer'}, 'points': {'type': 'array', 'items': {'type': 'number'}}, 'type': {'enum': ['polyline']}}, 'required': ['points', 'type', 'classId', 'attributes']} cuboid = {'$id': 'https://darwin.v7labs.com/schemas/supperannotate/cuboid', 'description': 'Schema of a Cuboid', 'title': 'Cuboid', 'default': {'type': 'cuboid', 'points': {'f1': {'x': 1223.1, 'y': 587.5}, 'f2': {'x': 1540.3, 'y': 1420.2}, 'r1': {'x': 1286.2, 'y': 607.3}, 'r2': {'x': 1603.4, 'y': 1440}}, 'classId': 1, 'attributes': [{'id': 1, 'groupId': 2}]}, 'examples': [{'type': 'cuboid', 'points': {'f1': {'x': 1223.1, 'y': 587.5}, 'f2': {'x': 1540.3, 'y': 1420.2}, 'r1': {'x': 1286.2, 'y': 607.3}, 'r2': {'x': 1603.4, 'y': 1440}}, 'classId': 1, 'attributes': []}], 'type': 'object', 'properties': {'attributes': attributes, 'classId': {'type': 'integer'}, 'type': {'enum': ['cuboid']}, 'points': {'type': 'object', 'properties': {'f1': {'type': 'object', 'properties': {'x': {'type': 'number'}, 'y': {'type': 'number'}}, 'required': ['x', 'y']}, 'f2': {'type': 'object', 'properties': {'x': {'type': 'number'}, 'y': {'type': 'number'}}, 'required': ['x', 'y']}, 'r1': {'type': 'object', 'properties': {'x': {'type': 'number'}, 'y': {'type': 'number'}}, 'required': ['x', 'y']}, 'r2': {'type': 'object', 'properties': {'x': {'type': 'number'}, 'y': {'type': 'number'}}, 'required': ['x', 'y']}}, 'required': ['f1', 'f2', 'r1', 'r2']}}, 'required': ['points', 'type', 'classId', 'attributes']} ellipse = {'$id': 'https://darwin.v7labs.com/schemas/supperannotate/ellipse', 'description': 'Schema of an Ellipse', 'title': 'Ellipse', 'default': {'type': 'ellipse', 'cx': 377.46, 'cy': 806.18, 'rx': 316.36, 'ry': 134.18, 'angle': 0, 'classId': 1, 'attributes': []}, 'examples': [{'type': 'ellipse', 'cx': 377.46, 'cy': 806.18, 'rx': 316.36, 'ry': 134.18, 'angle': 14.66, 'classId': 1, 'attributes': [{'id': 1, 'groupId': 2}]}], 'type': 'object', 'properties': {'attributes': attributes, 'classId': {'type': 'integer'}, 'cx': {'type': 'number'}, 'cy': {'type': 'number'}, 'rx': {'type': 'number'}, 'ry': {'type': 'number'}, 'angle': {'type': 'number'}, 'type': {'enum': ['ellipse']}}, 'required': ['cx', 'cy', 'rx', 'ry', 'angle', 'type', 'classId', 'attributes']} point = {'$id': 'https://darwin.v7labs.com/schemas/supperannotate/point', 'description': 'Schema of a Point', 'title': 'Point', 'default': {'type': 'point', 'x': 1.2, 'y': 2.5, 'classId': 1, 'attributes': []}, 'examples': [{'type': 'point', 'x': 1.2, 'y': 2.5, 'classId': 1, 'attributes': []}, {'type': 'point', 'x': 0, 'y': 1, 'classId': 2, 'attributes': [{'id': 1, 'groupId': 2}]}], 'type': 'object', 'properties': {'attributes': attributes, 'classId': {'type': 'integer'}, 'x': {'type': 'number'}, 'y': {'type': 'number'}, 'type': {'enum': ['point']}}, 'required': ['x', 'y', 'type', 'classId', 'attributes']} superannotate_export = {'type': 'object', 'required': ['instances', 'metadata', 'tags'], 'properties': {'instances': {'type': 'array', 'items': {'oneOf': [point, ellipse, cuboid, polygon, bbox, polyline]}}, 'metadata': {'type': 'object', 'required': ['name'], 'properties': {'name': {'type': 'string'}}}, 'tags': {'type': 'array', 'items': {'type': 'string'}}}} attribute_groups = {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'name', 'attributes'], 'properties': {'id': {'type': 'integer'}, 'name': {'type': 'string'}, 'attributes': {'type': 'array', 'itmes': {'type': 'object', 'required': ['id', 'name'], 'properties': {'id': {'type': 'integer'}, 'name': {'type': 'string'}}}}}}} classes_export = {'type': 'array', 'items': {'type': 'object', 'required': ['name', 'id', 'attribute_groups'], 'properties': {'name': {'type': 'string'}, 'id': {'type': 'integer'}, 'attribute_groups': attribute_groups}}}
s = list(map(int, input().split())) for i in range(1, len(s)): if s[i] > s[i - 1]: print(s[i], end=' ')
s = list(map(int, input().split())) for i in range(1, len(s)): if s[i] > s[i - 1]: print(s[i], end=' ')
class Solution: def climbStairs(self, n: int) -> int: if(n==1): return 1 dp = [0] * (n+1) dp[1] = 1 dp[2] = 2 for i in range(3,n+1): dp[i] = dp[i-1] + dp[i-2] return dp[n]
class Solution: def climb_stairs(self, n: int) -> int: if n == 1: return 1 dp = [0] * (n + 1) dp[1] = 1 dp[2] = 2 for i in range(3, n + 1): dp[i] = dp[i - 1] + dp[i - 2] return dp[n]
num1 = int(input("Please input num1: ")) num2 = int(input("Please input num2: ")) num3 = int(input("Please input num3: ")) num4 = int(input("Please input num4: ")) num5 = int(input("Please input num5: ")) num6 = int(input("Please input num6: ")) s = num1 + num2 + num3 + num4 + num5 + num6 print("sum: {}".format(s))
num1 = int(input('Please input num1: ')) num2 = int(input('Please input num2: ')) num3 = int(input('Please input num3: ')) num4 = int(input('Please input num4: ')) num5 = int(input('Please input num5: ')) num6 = int(input('Please input num6: ')) s = num1 + num2 + num3 + num4 + num5 + num6 print('sum: {}'.format(s))
q=int(input()) if(1>q or q>10): exit def isAnagram(par1,par2): par1.sort() par2.sort() # print(len(par1)) for i in range(len(par1)): if(par1[i]!=par2[i]): return False return True def init(): strings=[] count=0 q=int(globals()['q']) while(q!=0): strings.append(input()) q-=1 for string in strings: s=list(string) for n in range(len(s)-1): #max length-1 of a pair for p in range(int(len(s)-n+1)): k=p+1 par1=s[p:(p+n + 1)] while(k<len(s)-n): par2=s[k:(k+n + 1)] if(isAnagram(par1,par2)): count+=1 k+=1 print(count) count=0 init()
q = int(input()) if 1 > q or q > 10: exit def is_anagram(par1, par2): par1.sort() par2.sort() for i in range(len(par1)): if par1[i] != par2[i]: return False return True def init(): strings = [] count = 0 q = int(globals()['q']) while q != 0: strings.append(input()) q -= 1 for string in strings: s = list(string) for n in range(len(s) - 1): for p in range(int(len(s) - n + 1)): k = p + 1 par1 = s[p:p + n + 1] while k < len(s) - n: par2 = s[k:k + n + 1] if is_anagram(par1, par2): count += 1 k += 1 print(count) count = 0 init()
_base_ = [ '../_base_/datasets/icip.py', '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' ] # model settings norm_cfg = dict(type='BN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained=None, backbone=dict( type='ResNetV1c', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), dilations=(1, 1, 1, 1), strides=(1, 2, 2, 2), norm_cfg=norm_cfg, norm_eval=False, style='pytorch', contract_dilation=True), neck=dict( type='FPN', in_channels=[256, 512, 1024, 2048], out_channels=256, num_outs=4), decode_head=dict( type='FPNHead', in_channels=[256, 256, 256, 256], in_index=[0, 1, 2, 3], feature_strides=[4, 8, 16, 32], channels=128, dropout_ratio=0.1, num_classes=3, norm_cfg=norm_cfg, align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), # model training and testing settings train_cfg=dict(), test_cfg=dict(mode='whole')) log_config = dict( interval=100, hooks=[ dict(type='TextLoggerHook'), dict(type='WandbLoggerHook', init_kwargs=dict(project='ICIP', entity='matlab')), ]) evaluation = dict(interval=2000, metric='mIoU')
_base_ = ['../_base_/datasets/icip.py', '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'] norm_cfg = dict(type='BN', requires_grad=True) model = dict(type='EncoderDecoder', pretrained=None, backbone=dict(type='ResNetV1c', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), dilations=(1, 1, 1, 1), strides=(1, 2, 2, 2), norm_cfg=norm_cfg, norm_eval=False, style='pytorch', contract_dilation=True), neck=dict(type='FPN', in_channels=[256, 512, 1024, 2048], out_channels=256, num_outs=4), decode_head=dict(type='FPNHead', in_channels=[256, 256, 256, 256], in_index=[0, 1, 2, 3], feature_strides=[4, 8, 16, 32], channels=128, dropout_ratio=0.1, num_classes=3, norm_cfg=norm_cfg, align_corners=False, loss_decode=dict(type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), train_cfg=dict(), test_cfg=dict(mode='whole')) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook'), dict(type='WandbLoggerHook', init_kwargs=dict(project='ICIP', entity='matlab'))]) evaluation = dict(interval=2000, metric='mIoU')
# # PySNMP MIB module CISCO-ENTITY-SENSOR-EXT-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-ENTITY-SENSOR-EXT-MIB # Produced by pysmi-0.3.4 at Wed May 1 11:57:12 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, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ConstraintsIntersection, ValueRangeConstraint, ConstraintsUnion, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "ConstraintsUnion", "SingleValueConstraint") ciscoMgmt, = mibBuilder.importSymbols("CISCO-SMI", "ciscoMgmt") entPhysicalName, entPhysicalDescr, entPhysicalIndex = mibBuilder.importSymbols("ENTITY-MIB", "entPhysicalName", "entPhysicalDescr", "entPhysicalIndex") EntitySensorValue, entPhySensorValue, entPhySensorType = mibBuilder.importSymbols("ENTITY-SENSOR-MIB", "EntitySensorValue", "entPhySensorValue", "entPhySensorType") ModuleCompliance, NotificationGroup, ObjectGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup", "ObjectGroup") Unsigned32, ObjectIdentity, NotificationType, IpAddress, ModuleIdentity, Counter32, Integer32, TimeTicks, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, Bits, iso, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Unsigned32", "ObjectIdentity", "NotificationType", "IpAddress", "ModuleIdentity", "Counter32", "Integer32", "TimeTicks", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "Bits", "iso", "Gauge32") TruthValue, DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "TruthValue", "DisplayString", "TextualConvention") ciscoEntitySensorExtMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 9, 745)) ciscoEntitySensorExtMIB.setRevisions(('2010-06-09 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setRevisionsDescriptions(('Initial version of this MIB module.',)) if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setLastUpdated('201006100000Z') if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setOrganization('Cisco Systems, Inc.') if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setContactInfo('Postal: Cisco Systems, Inc. 170 West Tasman Drive San Jose, CA 95134-1706 USA Tel: +1 408 526 4000 E-mail: cs-snmp@cisco.com') if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setDescription('This MIB is extension to ENTITY-SENSOR-MIB(RFC 3433). This MIB also defines the notifications applicable for sensors reported in ENTITY-MIB(RFC 4133).') ciscoEntitySensorExtMIBNotifs = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 0)) ciscoEntitySensorExtMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 1)) ciscoEntitySensorExtMIBConform = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 2)) class CiscoSensorThresholdSeverity(TextualConvention, Integer32): description = 'sensor threshold severity. Valid values are: other(1) : a severity other than those listed below. minor(10) : Minor Problem threshold. major(20) : Major Problem threshold. critical(30): Critical problem threshold. A system might shut down the sensor associated FRU automatically if the sensor value reach the critical problem threshold.' status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 10, 20, 30)) namedValues = NamedValues(("other", 1), ("minor", 10), ("major", 20), ("critical", 30)) class CiscoSensorThresholdRelation(TextualConvention, Integer32): description = 'sensor threshold relational operator types. valid values are: lessThan(1): if the sensor value is less than the threshold value lessOrEqual(2): if the sensor value is less than or equal to the threshold value greaterThan(3): if the sensor value is greater than the threshold value greaterOrEqual(4): if the sensor value is greater than or equal to the threshold value equalTo(5): if the sensor value is equal to the threshold value notEqualTo(6): if the sensor value is not equal to the threshold value' status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6)) namedValues = NamedValues(("lessThan", 1), ("lessOrEqual", 2), ("greaterThan", 3), ("greaterOrEqual", 4), ("equalTo", 5), ("notEqualTo", 6)) ceSensorExtThresholdTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1), ) if mibBuilder.loadTexts: ceSensorExtThresholdTable.setReference('ENTITY-MIB contains definition for entPhysicalTable') if mibBuilder.loadTexts: ceSensorExtThresholdTable.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdTable.setDescription('This table lists the threshold severity, relation, and comparison value, for a sensor entity listed in entPhysicalTable.') ceSensorExtThresholdEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1), ).setIndexNames((0, "ENTITY-MIB", "entPhysicalIndex"), (0, "CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdIndex")) if mibBuilder.loadTexts: ceSensorExtThresholdEntry.setReference('ENTITY-MIB contains definition for entPhysicalClass') if mibBuilder.loadTexts: ceSensorExtThresholdEntry.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdEntry.setDescription("An ceSensorExtThresholdTable entry describes the thresholds for a sensor: the threshold severity, the threshold value, the relation, and the evaluation of the threshold. Only entities with entPhysicalClass 'sensor' are listed in this table. For non FRU entities the entries are created by the agent at system startup and entries are never deleted by the agent. For FRU entities the entries are created at system startup if FRU is inserted at system startup, else entries are created when FRU is inserted. Entries are deleted by the agent when FRU is removed.") ceSensorExtThresholdIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))) if mibBuilder.loadTexts: ceSensorExtThresholdIndex.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdIndex.setDescription('An index that uniquely identifies an entry in the ceSensorExtThresholdTable. This index permits the same sensor to have several different thresholds.') ceSensorExtThresholdSeverity = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 2), CiscoSensorThresholdSeverity()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ceSensorExtThresholdSeverity.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdSeverity.setDescription('This object specifies the severity of this threshold.') ceSensorExtThresholdRelation = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 3), CiscoSensorThresholdRelation()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ceSensorExtThresholdRelation.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdRelation.setDescription("This object specifies the boolean relation between sensor value (entPhySensorValue) and threshold value (ceSensorExtThresholdValue), required to trigger the alarm. in pseudo-code, the evaluation-alarm mechanism is: ... if (evaluate(entPhySensorValue, ceSensorExtThresholdRelation, ceSensorExtThresholdValue)) then if (((ceSensorExtThresholdNotifEnable == enabled) || (ceSensorExtThresholdNotifEnable == transparent)) && (ceSensorExtThresholdNotifGlobalEnable == enabled)) then raise_alarm(sensor's entPhysicalIndex); endif endif ...") ceSensorExtThresholdValue = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 4), EntitySensorValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ceSensorExtThresholdValue.setReference('ENTITY-SENSOR-MIB contains definitions for entPhysSensorScale and entPhySensorPrecision') if mibBuilder.loadTexts: ceSensorExtThresholdValue.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdValue.setDescription('This object specifies the value of the threshold. The value of objects entPhySensorType, entPhysSensorScale and entPhySensorPrecision for this sensor entity defines how ceSensorExtThresholdValue can be displayed or intepreted by the user. entPhySensorValue can be compared with ceSensorExtThresholdValue without taking care of semantics of both objects.') ceSensorExtThresholdEvaluation = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 5), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ceSensorExtThresholdEvaluation.setReference('ENTITY-SENSOR-MIB contains definition for entPhySensorValueUpdateRate') if mibBuilder.loadTexts: ceSensorExtThresholdEvaluation.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdEvaluation.setDescription("This object indicates the result of the most recent evaluation of the threshold. The agent will execute the below 'evaluate' function to generate the notification. 'evaluate' function returns a boolean value. evaluate(entPhySensorValue, ceSensorExtThresholdRelation, ceSensorExtThresholdValue) If evalute function returns true then ceSensorExtThresholdEvaluation is set to 'true' If evaluate function returns false then ceSensorExtThresholdEvaluation is set to 'false'. Thresholds are evaluated at the rate indicated by entPhySensorValueUpdateRate.") ceSensorExtThresholdNotifEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2), ("transparent", 3))).clone('transparent')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ceSensorExtThresholdNotifEnable.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdNotifEnable.setDescription("A control object to activate/deactivate ceSensorExtThresholdNotification. This object should hold any of the below values. enabled(1) - The notification is enabled for this entity disabled(2) - The notification is disabled for this entity transparent(3)- The notification is enabled/disabled based on ceSensorExtThresholdNotifGlobalEnable object This object controls generation of ceSensorExtThresholdNotification for this threshold. An exception to this is, if this object is set to 'transparent' then ceSensorExtThresholdNotification for this threshold is controlled by ceSensorExtThresholdNotifGlobalEnable object. This truth table explains how ceSensorExtThresholdNotifEnable is related with ceSensorExtThresholdNotifGlobalEnable to control the ceSensorExtThresholdNotification for this threshold E = enabled, D = Disabled, T = Transparent local_flag = ceSensorExtThresholdNotifEnable global_flag = ceSensorExtThresholdNotifGlobalEnable local_flag global_flag outcome_per_interface --------------------------------------------- E E E E D D D E D D D D T E E T D D") ciscoEntSensorExtGlobalObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 2)) ceSensorExtThresholdNotifGlobalEnable = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 2, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ceSensorExtThresholdNotifGlobalEnable.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdNotifGlobalEnable.setDescription("A control object to activate/deactivate ceSensorExtThresholdNotification. This object should hold any of the below values. enabled(1) - The notification is enabled globally on the device disabled(2)- The notification is disabled globally on the device This object enables the generation of ceSensorExtThresholdNotification globally on the device. If this object value is 'disabled', then no ceSensorExtThresholdNotification will be generated on this device. If this object value is 'enabled', then whether a ceSensorExtThresholdNotification for a threshold will be generated or not depends on the instance value of ceSensorExtThresholdNotifEnable for that threshold.") ceSensorExtThresholdNotification = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 745, 0, 1)).setObjects(("ENTITY-MIB", "entPhysicalName"), ("ENTITY-MIB", "entPhysicalDescr"), ("ENTITY-SENSOR-MIB", "entPhySensorValue"), ("ENTITY-SENSOR-MIB", "entPhySensorType"), ("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdValue")) if mibBuilder.loadTexts: ceSensorExtThresholdNotification.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdNotification.setDescription('This notification is generated once each time the sensor value crosses the threshold value specified by ceSensorExtThresholdValue object.') ciscoEntSensorExtMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 1)) ciscoEntSensorExtMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2)) ciscoEntSensorExtMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 1, 1)).setObjects(("CISCO-ENTITY-SENSOR-EXT-MIB", "ciscoEntSensorExtThresholdGroup"), ("CISCO-ENTITY-SENSOR-EXT-MIB", "ciscoEntSensorExtNotificationCtrlGroup"), ("CISCO-ENTITY-SENSOR-EXT-MIB", "ciscoEntSensorExtNotificationGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntSensorExtMIBCompliance = ciscoEntSensorExtMIBCompliance.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtMIBCompliance.setDescription('An ENTITY-MIB implementation that adds notification for sensors in the entPhysicalTable must implement this group.') ciscoEntSensorExtThresholdGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2, 1)).setObjects(("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdSeverity"), ("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdRelation"), ("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdValue"), ("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdEvaluation"), ("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdNotifEnable")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntSensorExtThresholdGroup = ciscoEntSensorExtThresholdGroup.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtThresholdGroup.setDescription('The collection of objects which are used to describe and monitor thresholds for sensors.') ciscoEntSensorExtNotificationGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2, 2)).setObjects(("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdNotification")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntSensorExtNotificationGroup = ciscoEntSensorExtNotificationGroup.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtNotificationGroup.setDescription('The collection of notifications used for monitoring sensor threshold activity.') ciscoEntSensorExtNotificationCtrlGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2, 3)).setObjects(("CISCO-ENTITY-SENSOR-EXT-MIB", "ceSensorExtThresholdNotifGlobalEnable")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntSensorExtNotificationCtrlGroup = ciscoEntSensorExtNotificationCtrlGroup.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtNotificationCtrlGroup.setDescription('The collection of objects which provide the global notification control on ceSensorExtThresholdNotification.') mibBuilder.exportSymbols("CISCO-ENTITY-SENSOR-EXT-MIB", ciscoEntSensorExtMIBCompliance=ciscoEntSensorExtMIBCompliance, ciscoEntSensorExtGlobalObjects=ciscoEntSensorExtGlobalObjects, ceSensorExtThresholdValue=ceSensorExtThresholdValue, ciscoEntitySensorExtMIBNotifs=ciscoEntitySensorExtMIBNotifs, ciscoEntSensorExtNotificationGroup=ciscoEntSensorExtNotificationGroup, ciscoEntSensorExtThresholdGroup=ciscoEntSensorExtThresholdGroup, ciscoEntitySensorExtMIBConform=ciscoEntitySensorExtMIBConform, ciscoEntSensorExtMIBGroups=ciscoEntSensorExtMIBGroups, ceSensorExtThresholdSeverity=ceSensorExtThresholdSeverity, ciscoEntSensorExtMIBCompliances=ciscoEntSensorExtMIBCompliances, ciscoEntitySensorExtMIB=ciscoEntitySensorExtMIB, ceSensorExtThresholdNotification=ceSensorExtThresholdNotification, ceSensorExtThresholdEvaluation=ceSensorExtThresholdEvaluation, ceSensorExtThresholdNotifEnable=ceSensorExtThresholdNotifEnable, ceSensorExtThresholdIndex=ceSensorExtThresholdIndex, ceSensorExtThresholdRelation=ceSensorExtThresholdRelation, CiscoSensorThresholdSeverity=CiscoSensorThresholdSeverity, ciscoEntitySensorExtMIBObjects=ciscoEntitySensorExtMIBObjects, ceSensorExtThresholdTable=ceSensorExtThresholdTable, CiscoSensorThresholdRelation=CiscoSensorThresholdRelation, ceSensorExtThresholdNotifGlobalEnable=ceSensorExtThresholdNotifGlobalEnable, ceSensorExtThresholdEntry=ceSensorExtThresholdEntry, PYSNMP_MODULE_ID=ciscoEntitySensorExtMIB, ciscoEntSensorExtNotificationCtrlGroup=ciscoEntSensorExtNotificationCtrlGroup)
(octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_size_constraint, constraints_intersection, value_range_constraint, constraints_union, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ConstraintsIntersection', 'ValueRangeConstraint', 'ConstraintsUnion', 'SingleValueConstraint') (cisco_mgmt,) = mibBuilder.importSymbols('CISCO-SMI', 'ciscoMgmt') (ent_physical_name, ent_physical_descr, ent_physical_index) = mibBuilder.importSymbols('ENTITY-MIB', 'entPhysicalName', 'entPhysicalDescr', 'entPhysicalIndex') (entity_sensor_value, ent_phy_sensor_value, ent_phy_sensor_type) = mibBuilder.importSymbols('ENTITY-SENSOR-MIB', 'EntitySensorValue', 'entPhySensorValue', 'entPhySensorType') (module_compliance, notification_group, object_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup', 'ObjectGroup') (unsigned32, object_identity, notification_type, ip_address, module_identity, counter32, integer32, time_ticks, counter64, mib_scalar, mib_table, mib_table_row, mib_table_column, mib_identifier, bits, iso, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Unsigned32', 'ObjectIdentity', 'NotificationType', 'IpAddress', 'ModuleIdentity', 'Counter32', 'Integer32', 'TimeTicks', 'Counter64', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'MibIdentifier', 'Bits', 'iso', 'Gauge32') (truth_value, display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'TruthValue', 'DisplayString', 'TextualConvention') cisco_entity_sensor_ext_mib = module_identity((1, 3, 6, 1, 4, 1, 9, 9, 745)) ciscoEntitySensorExtMIB.setRevisions(('2010-06-09 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setRevisionsDescriptions(('Initial version of this MIB module.',)) if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setLastUpdated('201006100000Z') if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setOrganization('Cisco Systems, Inc.') if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setContactInfo('Postal: Cisco Systems, Inc. 170 West Tasman Drive San Jose, CA 95134-1706 USA Tel: +1 408 526 4000 E-mail: cs-snmp@cisco.com') if mibBuilder.loadTexts: ciscoEntitySensorExtMIB.setDescription('This MIB is extension to ENTITY-SENSOR-MIB(RFC 3433). This MIB also defines the notifications applicable for sensors reported in ENTITY-MIB(RFC 4133).') cisco_entity_sensor_ext_mib_notifs = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 0)) cisco_entity_sensor_ext_mib_objects = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 1)) cisco_entity_sensor_ext_mib_conform = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 2)) class Ciscosensorthresholdseverity(TextualConvention, Integer32): description = 'sensor threshold severity. Valid values are: other(1) : a severity other than those listed below. minor(10) : Minor Problem threshold. major(20) : Major Problem threshold. critical(30): Critical problem threshold. A system might shut down the sensor associated FRU automatically if the sensor value reach the critical problem threshold.' status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 10, 20, 30)) named_values = named_values(('other', 1), ('minor', 10), ('major', 20), ('critical', 30)) class Ciscosensorthresholdrelation(TextualConvention, Integer32): description = 'sensor threshold relational operator types. valid values are: lessThan(1): if the sensor value is less than the threshold value lessOrEqual(2): if the sensor value is less than or equal to the threshold value greaterThan(3): if the sensor value is greater than the threshold value greaterOrEqual(4): if the sensor value is greater than or equal to the threshold value equalTo(5): if the sensor value is equal to the threshold value notEqualTo(6): if the sensor value is not equal to the threshold value' status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6)) named_values = named_values(('lessThan', 1), ('lessOrEqual', 2), ('greaterThan', 3), ('greaterOrEqual', 4), ('equalTo', 5), ('notEqualTo', 6)) ce_sensor_ext_threshold_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1)) if mibBuilder.loadTexts: ceSensorExtThresholdTable.setReference('ENTITY-MIB contains definition for entPhysicalTable') if mibBuilder.loadTexts: ceSensorExtThresholdTable.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdTable.setDescription('This table lists the threshold severity, relation, and comparison value, for a sensor entity listed in entPhysicalTable.') ce_sensor_ext_threshold_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1)).setIndexNames((0, 'ENTITY-MIB', 'entPhysicalIndex'), (0, 'CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdIndex')) if mibBuilder.loadTexts: ceSensorExtThresholdEntry.setReference('ENTITY-MIB contains definition for entPhysicalClass') if mibBuilder.loadTexts: ceSensorExtThresholdEntry.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdEntry.setDescription("An ceSensorExtThresholdTable entry describes the thresholds for a sensor: the threshold severity, the threshold value, the relation, and the evaluation of the threshold. Only entities with entPhysicalClass 'sensor' are listed in this table. For non FRU entities the entries are created by the agent at system startup and entries are never deleted by the agent. For FRU entities the entries are created at system startup if FRU is inserted at system startup, else entries are created when FRU is inserted. Entries are deleted by the agent when FRU is removed.") ce_sensor_ext_threshold_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))) if mibBuilder.loadTexts: ceSensorExtThresholdIndex.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdIndex.setDescription('An index that uniquely identifies an entry in the ceSensorExtThresholdTable. This index permits the same sensor to have several different thresholds.') ce_sensor_ext_threshold_severity = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 2), cisco_sensor_threshold_severity()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ceSensorExtThresholdSeverity.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdSeverity.setDescription('This object specifies the severity of this threshold.') ce_sensor_ext_threshold_relation = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 3), cisco_sensor_threshold_relation()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ceSensorExtThresholdRelation.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdRelation.setDescription("This object specifies the boolean relation between sensor value (entPhySensorValue) and threshold value (ceSensorExtThresholdValue), required to trigger the alarm. in pseudo-code, the evaluation-alarm mechanism is: ... if (evaluate(entPhySensorValue, ceSensorExtThresholdRelation, ceSensorExtThresholdValue)) then if (((ceSensorExtThresholdNotifEnable == enabled) || (ceSensorExtThresholdNotifEnable == transparent)) && (ceSensorExtThresholdNotifGlobalEnable == enabled)) then raise_alarm(sensor's entPhysicalIndex); endif endif ...") ce_sensor_ext_threshold_value = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 4), entity_sensor_value()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ceSensorExtThresholdValue.setReference('ENTITY-SENSOR-MIB contains definitions for entPhysSensorScale and entPhySensorPrecision') if mibBuilder.loadTexts: ceSensorExtThresholdValue.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdValue.setDescription('This object specifies the value of the threshold. The value of objects entPhySensorType, entPhysSensorScale and entPhySensorPrecision for this sensor entity defines how ceSensorExtThresholdValue can be displayed or intepreted by the user. entPhySensorValue can be compared with ceSensorExtThresholdValue without taking care of semantics of both objects.') ce_sensor_ext_threshold_evaluation = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 5), truth_value()).setMaxAccess('readonly') if mibBuilder.loadTexts: ceSensorExtThresholdEvaluation.setReference('ENTITY-SENSOR-MIB contains definition for entPhySensorValueUpdateRate') if mibBuilder.loadTexts: ceSensorExtThresholdEvaluation.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdEvaluation.setDescription("This object indicates the result of the most recent evaluation of the threshold. The agent will execute the below 'evaluate' function to generate the notification. 'evaluate' function returns a boolean value. evaluate(entPhySensorValue, ceSensorExtThresholdRelation, ceSensorExtThresholdValue) If evalute function returns true then ceSensorExtThresholdEvaluation is set to 'true' If evaluate function returns false then ceSensorExtThresholdEvaluation is set to 'false'. Thresholds are evaluated at the rate indicated by entPhySensorValueUpdateRate.") ce_sensor_ext_threshold_notif_enable = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 1, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2), ('transparent', 3))).clone('transparent')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ceSensorExtThresholdNotifEnable.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdNotifEnable.setDescription("A control object to activate/deactivate ceSensorExtThresholdNotification. This object should hold any of the below values. enabled(1) - The notification is enabled for this entity disabled(2) - The notification is disabled for this entity transparent(3)- The notification is enabled/disabled based on ceSensorExtThresholdNotifGlobalEnable object This object controls generation of ceSensorExtThresholdNotification for this threshold. An exception to this is, if this object is set to 'transparent' then ceSensorExtThresholdNotification for this threshold is controlled by ceSensorExtThresholdNotifGlobalEnable object. This truth table explains how ceSensorExtThresholdNotifEnable is related with ceSensorExtThresholdNotifGlobalEnable to control the ceSensorExtThresholdNotification for this threshold E = enabled, D = Disabled, T = Transparent local_flag = ceSensorExtThresholdNotifEnable global_flag = ceSensorExtThresholdNotifGlobalEnable local_flag global_flag outcome_per_interface --------------------------------------------- E E E E D D D E D D D D T E E T D D") cisco_ent_sensor_ext_global_objects = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 2)) ce_sensor_ext_threshold_notif_global_enable = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 745, 1, 2, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2))).clone('disabled')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ceSensorExtThresholdNotifGlobalEnable.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdNotifGlobalEnable.setDescription("A control object to activate/deactivate ceSensorExtThresholdNotification. This object should hold any of the below values. enabled(1) - The notification is enabled globally on the device disabled(2)- The notification is disabled globally on the device This object enables the generation of ceSensorExtThresholdNotification globally on the device. If this object value is 'disabled', then no ceSensorExtThresholdNotification will be generated on this device. If this object value is 'enabled', then whether a ceSensorExtThresholdNotification for a threshold will be generated or not depends on the instance value of ceSensorExtThresholdNotifEnable for that threshold.") ce_sensor_ext_threshold_notification = notification_type((1, 3, 6, 1, 4, 1, 9, 9, 745, 0, 1)).setObjects(('ENTITY-MIB', 'entPhysicalName'), ('ENTITY-MIB', 'entPhysicalDescr'), ('ENTITY-SENSOR-MIB', 'entPhySensorValue'), ('ENTITY-SENSOR-MIB', 'entPhySensorType'), ('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdValue')) if mibBuilder.loadTexts: ceSensorExtThresholdNotification.setStatus('current') if mibBuilder.loadTexts: ceSensorExtThresholdNotification.setDescription('This notification is generated once each time the sensor value crosses the threshold value specified by ceSensorExtThresholdValue object.') cisco_ent_sensor_ext_mib_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 1)) cisco_ent_sensor_ext_mib_groups = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2)) cisco_ent_sensor_ext_mib_compliance = module_compliance((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 1, 1)).setObjects(('CISCO-ENTITY-SENSOR-EXT-MIB', 'ciscoEntSensorExtThresholdGroup'), ('CISCO-ENTITY-SENSOR-EXT-MIB', 'ciscoEntSensorExtNotificationCtrlGroup'), ('CISCO-ENTITY-SENSOR-EXT-MIB', 'ciscoEntSensorExtNotificationGroup')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): cisco_ent_sensor_ext_mib_compliance = ciscoEntSensorExtMIBCompliance.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtMIBCompliance.setDescription('An ENTITY-MIB implementation that adds notification for sensors in the entPhysicalTable must implement this group.') cisco_ent_sensor_ext_threshold_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2, 1)).setObjects(('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdSeverity'), ('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdRelation'), ('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdValue'), ('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdEvaluation'), ('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdNotifEnable')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): cisco_ent_sensor_ext_threshold_group = ciscoEntSensorExtThresholdGroup.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtThresholdGroup.setDescription('The collection of objects which are used to describe and monitor thresholds for sensors.') cisco_ent_sensor_ext_notification_group = notification_group((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2, 2)).setObjects(('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdNotification')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): cisco_ent_sensor_ext_notification_group = ciscoEntSensorExtNotificationGroup.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtNotificationGroup.setDescription('The collection of notifications used for monitoring sensor threshold activity.') cisco_ent_sensor_ext_notification_ctrl_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 745, 2, 2, 3)).setObjects(('CISCO-ENTITY-SENSOR-EXT-MIB', 'ceSensorExtThresholdNotifGlobalEnable')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): cisco_ent_sensor_ext_notification_ctrl_group = ciscoEntSensorExtNotificationCtrlGroup.setStatus('current') if mibBuilder.loadTexts: ciscoEntSensorExtNotificationCtrlGroup.setDescription('The collection of objects which provide the global notification control on ceSensorExtThresholdNotification.') mibBuilder.exportSymbols('CISCO-ENTITY-SENSOR-EXT-MIB', ciscoEntSensorExtMIBCompliance=ciscoEntSensorExtMIBCompliance, ciscoEntSensorExtGlobalObjects=ciscoEntSensorExtGlobalObjects, ceSensorExtThresholdValue=ceSensorExtThresholdValue, ciscoEntitySensorExtMIBNotifs=ciscoEntitySensorExtMIBNotifs, ciscoEntSensorExtNotificationGroup=ciscoEntSensorExtNotificationGroup, ciscoEntSensorExtThresholdGroup=ciscoEntSensorExtThresholdGroup, ciscoEntitySensorExtMIBConform=ciscoEntitySensorExtMIBConform, ciscoEntSensorExtMIBGroups=ciscoEntSensorExtMIBGroups, ceSensorExtThresholdSeverity=ceSensorExtThresholdSeverity, ciscoEntSensorExtMIBCompliances=ciscoEntSensorExtMIBCompliances, ciscoEntitySensorExtMIB=ciscoEntitySensorExtMIB, ceSensorExtThresholdNotification=ceSensorExtThresholdNotification, ceSensorExtThresholdEvaluation=ceSensorExtThresholdEvaluation, ceSensorExtThresholdNotifEnable=ceSensorExtThresholdNotifEnable, ceSensorExtThresholdIndex=ceSensorExtThresholdIndex, ceSensorExtThresholdRelation=ceSensorExtThresholdRelation, CiscoSensorThresholdSeverity=CiscoSensorThresholdSeverity, ciscoEntitySensorExtMIBObjects=ciscoEntitySensorExtMIBObjects, ceSensorExtThresholdTable=ceSensorExtThresholdTable, CiscoSensorThresholdRelation=CiscoSensorThresholdRelation, ceSensorExtThresholdNotifGlobalEnable=ceSensorExtThresholdNotifGlobalEnable, ceSensorExtThresholdEntry=ceSensorExtThresholdEntry, PYSNMP_MODULE_ID=ciscoEntitySensorExtMIB, ciscoEntSensorExtNotificationCtrlGroup=ciscoEntSensorExtNotificationCtrlGroup)
def binary_search(array, target): start_index = 0 end_index = len(array) - 1 while start_index <= end_index: mid_index = (start_index + end_index) // 2 # integer division in Python 3 mid_element = array[mid_index] if target == mid_element: # we have found the element return mid_index elif target < mid_element: # the target is less than mid element end_index = mid_index - 1 # we will only search in the left half else: # the target is greater than mid element start_index = mid_element + 1 # we will search only in the right half return -1 def test_function(test_case): answer = binary_search(test_case[0], test_case[1]) if answer == test_case[2]: print("Pass!") else: print("Fail!") array = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] target = 6 index = 6 test_case = [array, target, index] test_function(test_case)
def binary_search(array, target): start_index = 0 end_index = len(array) - 1 while start_index <= end_index: mid_index = (start_index + end_index) // 2 mid_element = array[mid_index] if target == mid_element: return mid_index elif target < mid_element: end_index = mid_index - 1 else: start_index = mid_element + 1 return -1 def test_function(test_case): answer = binary_search(test_case[0], test_case[1]) if answer == test_case[2]: print('Pass!') else: print('Fail!') array = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] target = 6 index = 6 test_case = [array, target, index] test_function(test_case)
#!/usr/bin/python3 # code_generator.py def add_layers(layers): return_string = '''model = tf.keras.Sequential()\n''' for layer in layers: if layer['type'] == 'dense': if layer['activation_function'] is not None: return_string += '''model.add(tf.keras.layers.Dense(units={units}, activation=\'{activation}\', use_bias={use_bias}))\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias']) else: return_string += '''model.add(tf.keras.layers.Dense(units={units}, activation={activation}, use_bias={use_bias}))\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias']) elif layer['type'] == 'input_layer': return_string += '''model.add(tf.keras.layers.InputLayer(input_shape={input_shape})\n''' \ .format(input_shape=layer['input_shape']) elif layer['type'] == 'flatten': return_string += '''model.add(tf.keras.layers.Flatten())\n''' elif layer['type'] == 'embedding': return_string += '''model.add(tf.keras.layers.Embedding(input_dim={input_dim}, output_dim={output_dim}\n''' \ .format(input_dim=layer['input_dim'], output_dim=layer['output_dim']) elif layer['type'] == 'dropout': return_string += '''model.add(tf.keras.layers.Dropout(rate={rate}\n''' \ .format(rate=layer['rate']) elif layer['type'] == 'batch_normalization': return_string += '''model.add(tf.keras.layers.BatchNormalization(axis={axis}, momentum={momentum}, epsilon={epsilon})\n''' \ .format(axis=layer['axis'], momentum=layer['momentum'], epsilon=layer['epsilon']) elif layer['type'] == 'conv_2d': if layer['activation_function'] is not None: return_string += '''model.add(tf.keras.layers.Conv2D(filters={filters}, kernel_size={kernel_size}, strides={strides}, activation=\'{activation}\', use_bias={use_bias})\n''' \ .format(filters=layer['filters'], kernel_size=layer['kernel_size'], strides=layer['strides'], activation=layer['activation_function'], use_bias=layer['use_bias']) else: return_string += '''model.add(tf.keras.layers.Conv2D(filters={filters}, kernel_size={kernel_size}, strides={strides}, activation={activation}, use_bias={use_bias})\n''' \ .format(filters=layer['filters'], kernel_size=layer['kernel_size'], strides=layer['strides'], activation=layer['activation_function'], use_bias=layer['use_bias']) elif layer['type'] == 'max_pooling_2d': return_string += '''model.add(tf.keras.layers.MaxPool2D(pool_size={pool_size}, strides={strides})\n''' \ .format(pool_size=layer['kernel_size'], strides=layer['strides']) elif layer['type'] == 'average_pooling_2d': return_string += '''model.add(tf.keras.layers.AveragePooling2D(pool_size={pool_size}, strides={strides})\n''' \ .format(pool_size=layer['kernel_size'], strides=layer['strides']) elif layer['type'] == 'rnn': if layer['activation_function'] is not None: return_string += '''model.add(tf.keras.layers.SimpleRNN(units={units}, activation=\'{activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += '''model.add(tf.keras.layers.SimpleRNN(units={units}, activation={activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['type'] == 'lstm': if layer['activation_function'] is None and layer['recurrent_activation'] is not None: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation={activation}, recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is not None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation=\'{activation}\', recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation={activation}, recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation=\'{activation}\', recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['type'] == 'gru': if layer['activation_function'] is None and layer['recurrent_activation'] is not None: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation={activation}, recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is not None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation=\'{activation}\', recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation={activation}, recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation=\'{activation}\', recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) return return_string def add_compile_fit(optimizer, x_train, y_train, loss, batch_size, epochs): if optimizer is None and loss is not None: return_string = '''model.compile(optimizer={optimizer}, loss=\'{loss}\')\n''' \ .format(optimizer=optimizer, loss=loss) elif optimizer is not None and loss is None: return_string = '''model.compile(optimizer=\'{optimizer}\', loss={loss})\n''' \ .format(optimizer=optimizer, loss=loss) elif optimizer is None and loss is None: return_string = '''model.compile(optimizer={optimizer}, loss={loss})\n''' \ .format(optimizer=optimizer, loss=loss) else: return_string = '''model.compile(optimizer=\'{optimizer}\', loss={loss})\n''' \ .format(optimizer=optimizer, loss=loss) if x_train is None or y_train is None: return_string += '''model.fit( # x_train, # y_train, batch_size={batch_size}, epochs={epochs} )\n''' \ .format(batch_size=batch_size, epochs=epochs) else: return_string += '''model.fit(x_train, y_train, batch_size={batch_size}, epochs={epochs})\n''' \ .format(batch_size=batch_size, epochs=epochs) return return_string def generate_template(layers, loss='mse', optimizer='sgd', x_train=None, y_train=None, batch_size=32, epochs=10): template = '''import tensorflow as tf\n''' template += add_layers(layers) template += add_compile_fit(optimizer, x_train, y_train, loss, batch_size, epochs) return template # TEST '''layers = [{'type': 'dense', 'nodes': 10, 'activation_function': None, 'use_bias': True}, {'type': 'dense', 'nodes': 5, 'activation_function': 'relu', 'use_bias': True}] print(generate_template(layers=layers))'''
def add_layers(layers): return_string = 'model = tf.keras.Sequential()\n' for layer in layers: if layer['type'] == 'dense': if layer['activation_function'] is not None: return_string += "model.add(tf.keras.layers.Dense(units={units}, activation='{activation}', \n use_bias={use_bias}))\n".format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias']) else: return_string += 'model.add(tf.keras.layers.Dense(units={units}, activation={activation}, \n use_bias={use_bias}))\n'.format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias']) elif layer['type'] == 'input_layer': return_string += 'model.add(tf.keras.layers.InputLayer(input_shape={input_shape})\n'.format(input_shape=layer['input_shape']) elif layer['type'] == 'flatten': return_string += 'model.add(tf.keras.layers.Flatten())\n' elif layer['type'] == 'embedding': return_string += 'model.add(tf.keras.layers.Embedding(input_dim={input_dim}, output_dim={output_dim}\n'.format(input_dim=layer['input_dim'], output_dim=layer['output_dim']) elif layer['type'] == 'dropout': return_string += 'model.add(tf.keras.layers.Dropout(rate={rate}\n'.format(rate=layer['rate']) elif layer['type'] == 'batch_normalization': return_string += 'model.add(tf.keras.layers.BatchNormalization(axis={axis}, momentum={momentum}, \n epsilon={epsilon})\n'.format(axis=layer['axis'], momentum=layer['momentum'], epsilon=layer['epsilon']) elif layer['type'] == 'conv_2d': if layer['activation_function'] is not None: return_string += "model.add(tf.keras.layers.Conv2D(filters={filters}, kernel_size={kernel_size}, \n strides={strides}, activation='{activation}', use_bias={use_bias})\n".format(filters=layer['filters'], kernel_size=layer['kernel_size'], strides=layer['strides'], activation=layer['activation_function'], use_bias=layer['use_bias']) else: return_string += 'model.add(tf.keras.layers.Conv2D(filters={filters}, kernel_size={kernel_size}, \n strides={strides}, activation={activation}, use_bias={use_bias})\n'.format(filters=layer['filters'], kernel_size=layer['kernel_size'], strides=layer['strides'], activation=layer['activation_function'], use_bias=layer['use_bias']) elif layer['type'] == 'max_pooling_2d': return_string += 'model.add(tf.keras.layers.MaxPool2D(pool_size={pool_size}, strides={strides})\n'.format(pool_size=layer['kernel_size'], strides=layer['strides']) elif layer['type'] == 'average_pooling_2d': return_string += 'model.add(tf.keras.layers.AveragePooling2D(pool_size={pool_size}, strides={strides})\n'.format(pool_size=layer['kernel_size'], strides=layer['strides']) elif layer['type'] == 'rnn': if layer['activation_function'] is not None: return_string += "model.add(tf.keras.layers.SimpleRNN(units={units}, activation='{activation}', \n use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n".format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += 'model.add(tf.keras.layers.SimpleRNN(units={units}, activation={activation}, \n use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n'.format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['type'] == 'lstm': if layer['activation_function'] is None and layer['recurrent_activation'] is not None: return_string += "model.add(tf.keras.layers.LSTM(units={units}, activation={activation}, \n recurrent_activation='{recurrent_activation}', use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n".format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is not None and layer['recurrent_activation'] is None: return_string += "model.add(tf.keras.layers.LSTM(units={units}, activation='{activation}', \n recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n".format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is None and layer['recurrent_activation'] is None: return_string += 'model.add(tf.keras.layers.LSTM(units={units}, activation={activation}, \n recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n'.format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += "model.add(tf.keras.layers.LSTM(units={units}, activation='{activation}', \n recurrent_activation='{recurrent_activation}', use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n".format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['type'] == 'gru': if layer['activation_function'] is None and layer['recurrent_activation'] is not None: return_string += "model.add(tf.keras.layers.GRU(units={units}, activation={activation}, \n recurrent_activation='{recurrent_activation}', use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n".format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is not None and layer['recurrent_activation'] is None: return_string += "model.add(tf.keras.layers.GRU(units={units}, activation='{activation}', \n recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n".format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is None and layer['recurrent_activation'] is None: return_string += 'model.add(tf.keras.layers.GRU(units={units}, activation={activation}, \n recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n'.format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += "model.add(tf.keras.layers.GRU(units={units}, activation='{activation}', \n recurrent_activation='{recurrent_activation}', use_bias={use_bias}, dropout={dropout}, \n recurrent_dropout={recurrent_dropout})\n".format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) return return_string def add_compile_fit(optimizer, x_train, y_train, loss, batch_size, epochs): if optimizer is None and loss is not None: return_string = "model.compile(optimizer={optimizer}, loss='{loss}')\n".format(optimizer=optimizer, loss=loss) elif optimizer is not None and loss is None: return_string = "model.compile(optimizer='{optimizer}', loss={loss})\n".format(optimizer=optimizer, loss=loss) elif optimizer is None and loss is None: return_string = 'model.compile(optimizer={optimizer}, loss={loss})\n'.format(optimizer=optimizer, loss=loss) else: return_string = "model.compile(optimizer='{optimizer}', loss={loss})\n".format(optimizer=optimizer, loss=loss) if x_train is None or y_train is None: return_string += 'model.fit( \n # x_train,\n # y_train,\n batch_size={batch_size}, epochs={epochs}\n )\n'.format(batch_size=batch_size, epochs=epochs) else: return_string += 'model.fit(x_train, y_train, batch_size={batch_size}, epochs={epochs})\n'.format(batch_size=batch_size, epochs=epochs) return return_string def generate_template(layers, loss='mse', optimizer='sgd', x_train=None, y_train=None, batch_size=32, epochs=10): template = 'import tensorflow as tf\n' template += add_layers(layers) template += add_compile_fit(optimizer, x_train, y_train, loss, batch_size, epochs) return template "layers = [{'type': 'dense',\n 'nodes': 10,\n 'activation_function': None,\n 'use_bias': True},\n {'type': 'dense',\n 'nodes': 5,\n 'activation_function': 'relu',\n 'use_bias': True}]\nprint(generate_template(layers=layers))"
#Iris Data sorted into columns #Hugh O'Reilly 04/03/18 with open("data/iris.csv") as f: #Opens Iris data set csv file in data folder for line in f:# loops through each line line = line.replace(',', ' ') #replaces comma with space, code from Mohamed Noor line = line.rstrip() #Removes nextline code on end, code from Mohamed Noor print(line.split(',')[:]) #Splits and Prints #each line as a list, colon separates each item in # columns for column in f: print (f.read())
with open('data/iris.csv') as f: for line in f: line = line.replace(',', ' ') line = line.rstrip() print(line.split(',')[:]) for column in f: print(f.read())
#Euler Problem 5 Lowest common multiple # Michael Garvey # credits: https://gist.github.com/PEZ/47534 i = 1 for k in (range(1, 21)): #using range to test numbers 1 to 20 if i % k > 0: for j in range(1, 21): if (i*j) % k == 0: i *= j break print (i)
i = 1 for k in range(1, 21): if i % k > 0: for j in range(1, 21): if i * j % k == 0: i *= j break print(i)
def mergeSort(array): print(f"Splitting the array {array}") if len(array)>1: mid = len(array)//2 lefthalf = array[:mid] righthalf = array[mid:] mergeSort(lefthalf) mergeSort(righthalf) i=j=k=0 while i < len(lefthalf) and j < len(righthalf): if lefthalf[i] < righthalf[j]: array[k]=lefthalf[i] i=i+1 else: array[k]=righthalf[j] j=j+1 k=k+1 while i < len(lefthalf): array[k]=lefthalf[i] i=i+1 k=k+1 while j < len(righthalf): array[k]=righthalf[j] j=j+1 k=k+1 # print(f"List Sorting => {array}") arr = [145,426,4333,2217,7,1,4321315,2312423434321,-5525,-5,-125688] mergeSort(arr) for i in range(len(arr)): print (f"{arr[i]}", end=" "),
def merge_sort(array): print(f'Splitting the array {array}') if len(array) > 1: mid = len(array) // 2 lefthalf = array[:mid] righthalf = array[mid:] merge_sort(lefthalf) merge_sort(righthalf) i = j = k = 0 while i < len(lefthalf) and j < len(righthalf): if lefthalf[i] < righthalf[j]: array[k] = lefthalf[i] i = i + 1 else: array[k] = righthalf[j] j = j + 1 k = k + 1 while i < len(lefthalf): array[k] = lefthalf[i] i = i + 1 k = k + 1 while j < len(righthalf): array[k] = righthalf[j] j = j + 1 k = k + 1 arr = [145, 426, 4333, 2217, 7, 1, 4321315, 2312423434321, -5525, -5, -125688] merge_sort(arr) for i in range(len(arr)): (print(f'{arr[i]}', end=' '),)
# def add(num1, num2): # # just put these initial values down to the length # x = len(str(num1)) # y = len(str(num2)) # z = 0 # if x >= y : # for k in range(0,x): # z = z + int(num1/(10**x)) + int(num2/(10**x)) # else: # for k in range(0,y): # z = z + int(num1/(10**y)) + int(num2/(10**y)) # return z def add(num1, num2): # PART 1: # Last numbers added together x = (num1 - (int(num1/10))*10) y = (num2 - (int(num2/10))*10) if x == 0 and y == 0: z = num1 + num2 elif x == 0: z = num1 + y elif y == 0: z = x + num2 else: z = x + y # return z # Plan is to change this into a string value and add it at the end # PART 2: # Last numbers added together a = len(str(num1))-1 b = len(str(num2))-1 c = int(num1/(10**a)) + int(num2/(10**a)) f = int(num1/(10**(a-1))) + int(num2/(10**(a-1))) return int(str(c)+str(f)+str(z)) print(add(807,337))
def add(num1, num2): x = num1 - int(num1 / 10) * 10 y = num2 - int(num2 / 10) * 10 if x == 0 and y == 0: z = num1 + num2 elif x == 0: z = num1 + y elif y == 0: z = x + num2 else: z = x + y a = len(str(num1)) - 1 b = len(str(num2)) - 1 c = int(num1 / 10 ** a) + int(num2 / 10 ** a) f = int(num1 / 10 ** (a - 1)) + int(num2 / 10 ** (a - 1)) return int(str(c) + str(f) + str(z)) print(add(807, 337))
class HTTP404(Exception): def __init__(self): super(HTTP404, self).__init__() self.code = 404 def __str__(self): return "404: Page Not Found" def __repr__(self): return self.__str__()
class Http404(Exception): def __init__(self): super(HTTP404, self).__init__() self.code = 404 def __str__(self): return '404: Page Not Found' def __repr__(self): return self.__str__()
version='' commithash='64db13864cb1b377c8a9ab7c08e4688d3d1f94ef' gittag_short='' gittag_long='64db138-dirty' git_lastmod='Mon, 15 May 2017 14:34:53 +0200' github_url='https://github.com/plasmodic/ecto' breathe_default_project = 'ecto' breathe_projects = dict(ecto='/home/arnaud.duhamel/qidata/python-ecto/build/temp.linux-x86_64-2.7/ecto/doc/../api/xml') # for debug: this is only if you build everything locally #ecto_module_url_root = '/home/arnaud.duhamel/qidata/python-ecto/build/temp.linux-x86_64-2.7/ecto/doc/../../doc/html/' # for release ecto_module_url_root = 'http://plasmodic.github.com/' intersphinx_mapping = { 'ectoimagepipeline': (ecto_module_url_root + 'ecto_image_pipeline', None), 'ectoopenni': (ecto_module_url_root + 'ecto_openni', None), 'ectoopencv': (ecto_module_url_root + 'ecto_opencv', None), 'ectopcl': (ecto_module_url_root + 'ecto_pcl', None), 'ectoros': (ecto_module_url_root + 'ecto_ros', None), } programoutput_path = ''.split(';')
version = '' commithash = '64db13864cb1b377c8a9ab7c08e4688d3d1f94ef' gittag_short = '' gittag_long = '64db138-dirty' git_lastmod = 'Mon, 15 May 2017 14:34:53 +0200' github_url = 'https://github.com/plasmodic/ecto' breathe_default_project = 'ecto' breathe_projects = dict(ecto='/home/arnaud.duhamel/qidata/python-ecto/build/temp.linux-x86_64-2.7/ecto/doc/../api/xml') ecto_module_url_root = 'http://plasmodic.github.com/' intersphinx_mapping = {'ectoimagepipeline': (ecto_module_url_root + 'ecto_image_pipeline', None), 'ectoopenni': (ecto_module_url_root + 'ecto_openni', None), 'ectoopencv': (ecto_module_url_root + 'ecto_opencv', None), 'ectopcl': (ecto_module_url_root + 'ecto_pcl', None), 'ectoros': (ecto_module_url_root + 'ecto_ros', None)} programoutput_path = ''.split(';')
# This problem was recently asked by Apple: # You are given a binary tree representation of an arithmetic expression. # In this tree, each leaf is an integer value,, and a non-leaf node is one of the four operations: '+', '-', '*', or '/'. # Write a function that takes this tree and evaluates the expression. class Node: def __init__(self, val, left=None, right=None): self.val = val self.left = left self.right = right PLUS = "+" MINUS = "-" TIMES = "*" DIVIDE = "/" def evaluate(root): # Fill this in. if root is None: return 0 if root.left is None and root.right is None: return int(root.val) l = evaluate(root.left) r = evaluate(root.right) if root.val == '+': return l + r elif root.val == '-': return l - r elif root.val == '*': return l * r elif root.val == '/': return l / r tree = Node(TIMES) tree.left = Node(PLUS) tree.left.left = Node(3) tree.left.right = Node(2) tree.right = Node(PLUS) tree.right.left = Node(4) tree.right.right = Node(5) print (evaluate(tree)) # 45
class Node: def __init__(self, val, left=None, right=None): self.val = val self.left = left self.right = right plus = '+' minus = '-' times = '*' divide = '/' def evaluate(root): if root is None: return 0 if root.left is None and root.right is None: return int(root.val) l = evaluate(root.left) r = evaluate(root.right) if root.val == '+': return l + r elif root.val == '-': return l - r elif root.val == '*': return l * r elif root.val == '/': return l / r tree = node(TIMES) tree.left = node(PLUS) tree.left.left = node(3) tree.left.right = node(2) tree.right = node(PLUS) tree.right.left = node(4) tree.right.right = node(5) print(evaluate(tree))
image = io.imread('../img/skimage-logo.png') # --- assign each color channel to a different variable --- r = image[:, :, 0] g = image[:, :, 1] b = image[:, :, 2]
image = io.imread('../img/skimage-logo.png') r = image[:, :, 0] g = image[:, :, 1] b = image[:, :, 2]
# # PySNMP MIB module MGMT-SECURITY-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/MGMT-SECURITY-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:11:54 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) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint") quanta, switch = mibBuilder.importSymbols("QUANTA-SWITCH-MIB", "quanta", "switch") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, Counter64, iso, TimeTicks, Integer32, Unsigned32, NotificationType, IpAddress, ModuleIdentity, Bits, Gauge32, MibIdentifier, Counter32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "Counter64", "iso", "TimeTicks", "Integer32", "Unsigned32", "NotificationType", "IpAddress", "ModuleIdentity", "Bits", "Gauge32", "MibIdentifier", "Counter32") DisplayString, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "TruthValue") mgmtSecurity = ModuleIdentity((1, 3, 6, 1, 4, 1, 7244, 2, 11)) if mibBuilder.loadTexts: mgmtSecurity.setLastUpdated('201108310000Z') if mibBuilder.loadTexts: mgmtSecurity.setOrganization('Quanta Computer Inc.') if mibBuilder.loadTexts: mgmtSecurity.setContactInfo(' Customer Support Postal: Quanta Computer Inc. 4, Wen Ming 1 St., Kuei Shan Hsiang, Tao Yuan Shien, Taiwan, R.O.C. Tel: +886 3 328 0050 E-Mail: support@quantatw.com') if mibBuilder.loadTexts: mgmtSecurity.setDescription('The Private MIB for Security') agentSSLConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1)) agentSSLAdminMode = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSLAdminMode.setStatus('current') if mibBuilder.loadTexts: agentSSLAdminMode.setDescription('Configures whether the SSL service is enabled on this switch. The default value is disable(2).') agentSSLSecurePort = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSLSecurePort.setStatus('current') if mibBuilder.loadTexts: agentSSLSecurePort.setDescription('Configures the port the SSL service will respond on. The default value is 443.') agentSSLProtocolLevel = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("ssl30", 1), ("tls10", 2), ("both", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSLProtocolLevel.setStatus('current') if mibBuilder.loadTexts: agentSSLProtocolLevel.setDescription('Configures which protocol versions of SSL are enabled on this switch. The default value is both(3).') agentSSLMaxSessions = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 16))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSLMaxSessions.setStatus('current') if mibBuilder.loadTexts: agentSSLMaxSessions.setDescription('Configures the maximum number of allowable SSL sessions. The default value is 16.') agentSSLHardTimeout = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 168))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSLHardTimeout.setStatus('current') if mibBuilder.loadTexts: agentSSLHardTimeout.setDescription('Configures the hard timeout for SSL sessions in hours. The default value is 24 hours.') agentSSLSoftTimeout = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 60))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSLSoftTimeout.setStatus('current') if mibBuilder.loadTexts: agentSSLSoftTimeout.setDescription('Configures the soft (activity) timeout for SSL sessions in minutes. The default value is 5 minutes.') agentSSLCertificatePresent = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 7), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentSSLCertificatePresent.setStatus('current') if mibBuilder.loadTexts: agentSSLCertificatePresent.setDescription('Boolean value indicating whether SSL certificate files exist on the device.') agentSSLCertificateControl = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noop", 1), ("generate", 2), ("delete", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSLCertificateControl.setStatus('current') if mibBuilder.loadTexts: agentSSLCertificateControl.setDescription('Controls certificate generation and deletion. Always returns noop(1).') agentSSLCertificateGenerationStatus = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 9), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentSSLCertificateGenerationStatus.setStatus('current') if mibBuilder.loadTexts: agentSSLCertificateGenerationStatus.setDescription('Indicates whether certificate files are currently being generated.') agentSSHConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2)) agentSSHAdminMode = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSHAdminMode.setStatus('current') if mibBuilder.loadTexts: agentSSHAdminMode.setDescription('Configures whether the SSH service is enabled on this switch. The default value is disable(2).') agentSSHProtocolLevel = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("ssh10", 1), ("ssh20", 2), ("both", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSHProtocolLevel.setStatus('current') if mibBuilder.loadTexts: agentSSHProtocolLevel.setDescription('Configures which protocol versions of SSH are enabled on this switch. The default value is both(3).') agentSSHSessionsCount = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentSSHSessionsCount.setStatus('current') if mibBuilder.loadTexts: agentSSHSessionsCount.setDescription('Current number of active SSH sessions on this switch.') agentSSHMaxSessionsCount = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 5))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSHMaxSessionsCount.setStatus('current') if mibBuilder.loadTexts: agentSSHMaxSessionsCount.setDescription('Max number of SSH sessions permitted on this switch.') agentSSHSessionTimeout = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 160))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSHSessionTimeout.setStatus('current') if mibBuilder.loadTexts: agentSSHSessionTimeout.setDescription('ssh idle timeout value for this switch im minutes.') agentSSHKeysPresent = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("dsa", 1), ("rsa", 2), ("both", 3), ("none", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: agentSSHKeysPresent.setStatus('current') if mibBuilder.loadTexts: agentSSHKeysPresent.setDescription('Indicates what key files are present on the device, if any.') agentSSHKeyGenerationStatus = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("dsa", 1), ("rsa", 2), ("both", 3), ("none", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: agentSSHKeyGenerationStatus.setStatus('current') if mibBuilder.loadTexts: agentSSHKeyGenerationStatus.setDescription('Indicates what key files are currently being generated, if any.') agentSSHRSAKeyControl = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noop", 1), ("generate", 2), ("delete", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSHRSAKeyControl.setStatus('current') if mibBuilder.loadTexts: agentSSHRSAKeyControl.setDescription('Controls RSA key generation and deletion. Always returns noop(1).') agentSSHDSAKeyControl = MibScalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noop", 1), ("generate", 2), ("delete", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: agentSSHDSAKeyControl.setStatus('current') if mibBuilder.loadTexts: agentSSHDSAKeyControl.setDescription('Controls DSA key generation and deletion. Always returns noop(1).') mibBuilder.exportSymbols("MGMT-SECURITY-MIB", agentSSHSessionsCount=agentSSHSessionsCount, PYSNMP_MODULE_ID=mgmtSecurity, agentSSLMaxSessions=agentSSLMaxSessions, agentSSHKeyGenerationStatus=agentSSHKeyGenerationStatus, agentSSHSessionTimeout=agentSSHSessionTimeout, agentSSLCertificateControl=agentSSLCertificateControl, mgmtSecurity=mgmtSecurity, agentSSLProtocolLevel=agentSSLProtocolLevel, agentSSLCertificateGenerationStatus=agentSSLCertificateGenerationStatus, agentSSLConfigGroup=agentSSLConfigGroup, agentSSHAdminMode=agentSSHAdminMode, agentSSHRSAKeyControl=agentSSHRSAKeyControl, agentSSHKeysPresent=agentSSHKeysPresent, agentSSHConfigGroup=agentSSHConfigGroup, agentSSHMaxSessionsCount=agentSSHMaxSessionsCount, agentSSLAdminMode=agentSSLAdminMode, agentSSLSoftTimeout=agentSSLSoftTimeout, agentSSLHardTimeout=agentSSLHardTimeout, agentSSHDSAKeyControl=agentSSHDSAKeyControl, agentSSHProtocolLevel=agentSSHProtocolLevel, agentSSLSecurePort=agentSSLSecurePort, agentSSLCertificatePresent=agentSSLCertificatePresent)
(integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (single_value_constraint, value_range_constraint, constraints_union, constraints_intersection, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ValueRangeConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueSizeConstraint') (quanta, switch) = mibBuilder.importSymbols('QUANTA-SWITCH-MIB', 'quanta', 'switch') (notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance') (mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity, counter64, iso, time_ticks, integer32, unsigned32, notification_type, ip_address, module_identity, bits, gauge32, mib_identifier, counter32) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity', 'Counter64', 'iso', 'TimeTicks', 'Integer32', 'Unsigned32', 'NotificationType', 'IpAddress', 'ModuleIdentity', 'Bits', 'Gauge32', 'MibIdentifier', 'Counter32') (display_string, textual_convention, truth_value) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention', 'TruthValue') mgmt_security = module_identity((1, 3, 6, 1, 4, 1, 7244, 2, 11)) if mibBuilder.loadTexts: mgmtSecurity.setLastUpdated('201108310000Z') if mibBuilder.loadTexts: mgmtSecurity.setOrganization('Quanta Computer Inc.') if mibBuilder.loadTexts: mgmtSecurity.setContactInfo(' Customer Support Postal: Quanta Computer Inc. 4, Wen Ming 1 St., Kuei Shan Hsiang, Tao Yuan Shien, Taiwan, R.O.C. Tel: +886 3 328 0050 E-Mail: support@quantatw.com') if mibBuilder.loadTexts: mgmtSecurity.setDescription('The Private MIB for Security') agent_ssl_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1)) agent_ssl_admin_mode = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSLAdminMode.setStatus('current') if mibBuilder.loadTexts: agentSSLAdminMode.setDescription('Configures whether the SSL service is enabled on this switch. The default value is disable(2).') agent_ssl_secure_port = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(1, 65535))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSLSecurePort.setStatus('current') if mibBuilder.loadTexts: agentSSLSecurePort.setDescription('Configures the port the SSL service will respond on. The default value is 443.') agent_ssl_protocol_level = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('ssl30', 1), ('tls10', 2), ('both', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSLProtocolLevel.setStatus('current') if mibBuilder.loadTexts: agentSSLProtocolLevel.setDescription('Configures which protocol versions of SSL are enabled on this switch. The default value is both(3).') agent_ssl_max_sessions = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(0, 16))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSLMaxSessions.setStatus('current') if mibBuilder.loadTexts: agentSSLMaxSessions.setDescription('Configures the maximum number of allowable SSL sessions. The default value is 16.') agent_ssl_hard_timeout = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(1, 168))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSLHardTimeout.setStatus('current') if mibBuilder.loadTexts: agentSSLHardTimeout.setDescription('Configures the hard timeout for SSL sessions in hours. The default value is 24 hours.') agent_ssl_soft_timeout = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 6), integer32().subtype(subtypeSpec=value_range_constraint(1, 60))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSLSoftTimeout.setStatus('current') if mibBuilder.loadTexts: agentSSLSoftTimeout.setDescription('Configures the soft (activity) timeout for SSL sessions in minutes. The default value is 5 minutes.') agent_ssl_certificate_present = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 7), truth_value()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentSSLCertificatePresent.setStatus('current') if mibBuilder.loadTexts: agentSSLCertificatePresent.setDescription('Boolean value indicating whether SSL certificate files exist on the device.') agent_ssl_certificate_control = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('noop', 1), ('generate', 2), ('delete', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSLCertificateControl.setStatus('current') if mibBuilder.loadTexts: agentSSLCertificateControl.setDescription('Controls certificate generation and deletion. Always returns noop(1).') agent_ssl_certificate_generation_status = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 1, 9), truth_value()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentSSLCertificateGenerationStatus.setStatus('current') if mibBuilder.loadTexts: agentSSLCertificateGenerationStatus.setDescription('Indicates whether certificate files are currently being generated.') agent_ssh_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2)) agent_ssh_admin_mode = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSHAdminMode.setStatus('current') if mibBuilder.loadTexts: agentSSHAdminMode.setDescription('Configures whether the SSH service is enabled on this switch. The default value is disable(2).') agent_ssh_protocol_level = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('ssh10', 1), ('ssh20', 2), ('both', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSHProtocolLevel.setStatus('current') if mibBuilder.loadTexts: agentSSHProtocolLevel.setDescription('Configures which protocol versions of SSH are enabled on this switch. The default value is both(3).') agent_ssh_sessions_count = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 3), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentSSHSessionsCount.setStatus('current') if mibBuilder.loadTexts: agentSSHSessionsCount.setDescription('Current number of active SSH sessions on this switch.') agent_ssh_max_sessions_count = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 4), integer32().subtype(subtypeSpec=value_range_constraint(0, 5))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSHMaxSessionsCount.setStatus('current') if mibBuilder.loadTexts: agentSSHMaxSessionsCount.setDescription('Max number of SSH sessions permitted on this switch.') agent_ssh_session_timeout = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 5), integer32().subtype(subtypeSpec=value_range_constraint(1, 160))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSHSessionTimeout.setStatus('current') if mibBuilder.loadTexts: agentSSHSessionTimeout.setDescription('ssh idle timeout value for this switch im minutes.') agent_ssh_keys_present = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('dsa', 1), ('rsa', 2), ('both', 3), ('none', 4)))).setMaxAccess('readonly') if mibBuilder.loadTexts: agentSSHKeysPresent.setStatus('current') if mibBuilder.loadTexts: agentSSHKeysPresent.setDescription('Indicates what key files are present on the device, if any.') agent_ssh_key_generation_status = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('dsa', 1), ('rsa', 2), ('both', 3), ('none', 4)))).setMaxAccess('readonly') if mibBuilder.loadTexts: agentSSHKeyGenerationStatus.setStatus('current') if mibBuilder.loadTexts: agentSSHKeyGenerationStatus.setDescription('Indicates what key files are currently being generated, if any.') agent_sshrsa_key_control = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('noop', 1), ('generate', 2), ('delete', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSHRSAKeyControl.setStatus('current') if mibBuilder.loadTexts: agentSSHRSAKeyControl.setDescription('Controls RSA key generation and deletion. Always returns noop(1).') agent_sshdsa_key_control = mib_scalar((1, 3, 6, 1, 4, 1, 7244, 2, 11, 2, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('noop', 1), ('generate', 2), ('delete', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: agentSSHDSAKeyControl.setStatus('current') if mibBuilder.loadTexts: agentSSHDSAKeyControl.setDescription('Controls DSA key generation and deletion. Always returns noop(1).') mibBuilder.exportSymbols('MGMT-SECURITY-MIB', agentSSHSessionsCount=agentSSHSessionsCount, PYSNMP_MODULE_ID=mgmtSecurity, agentSSLMaxSessions=agentSSLMaxSessions, agentSSHKeyGenerationStatus=agentSSHKeyGenerationStatus, agentSSHSessionTimeout=agentSSHSessionTimeout, agentSSLCertificateControl=agentSSLCertificateControl, mgmtSecurity=mgmtSecurity, agentSSLProtocolLevel=agentSSLProtocolLevel, agentSSLCertificateGenerationStatus=agentSSLCertificateGenerationStatus, agentSSLConfigGroup=agentSSLConfigGroup, agentSSHAdminMode=agentSSHAdminMode, agentSSHRSAKeyControl=agentSSHRSAKeyControl, agentSSHKeysPresent=agentSSHKeysPresent, agentSSHConfigGroup=agentSSHConfigGroup, agentSSHMaxSessionsCount=agentSSHMaxSessionsCount, agentSSLAdminMode=agentSSLAdminMode, agentSSLSoftTimeout=agentSSLSoftTimeout, agentSSLHardTimeout=agentSSLHardTimeout, agentSSHDSAKeyControl=agentSSHDSAKeyControl, agentSSHProtocolLevel=agentSSHProtocolLevel, agentSSLSecurePort=agentSSLSecurePort, agentSSLCertificatePresent=agentSSLCertificatePresent)
# Copyright 2019 Graphcore Ltd. class NullContextManager(object): def __enter__(self): pass def __exit__(self, *args): pass
class Nullcontextmanager(object): def __enter__(self): pass def __exit__(self, *args): pass
#Global parameters module N = 1024 K = 16 Q = 12289 POLY_BYTES = 1792 NEWHOPE_SEEDBYTES = 32 NEWHOPE_RECBYTES = 256 NEWHOPE_SENDABYTES = POLY_BYTES + NEWHOPE_SEEDBYTES NEWHOPE_SENDBBYTES = POLY_BYTES + NEWHOPE_RECBYTES
n = 1024 k = 16 q = 12289 poly_bytes = 1792 newhope_seedbytes = 32 newhope_recbytes = 256 newhope_sendabytes = POLY_BYTES + NEWHOPE_SEEDBYTES newhope_sendbbytes = POLY_BYTES + NEWHOPE_RECBYTES
# Hacked from winnt.h DELETE = (65536) READ_CONTROL = (131072) WRITE_DAC = (262144) WRITE_OWNER = (524288) SYNCHRONIZE = (1048576) STANDARD_RIGHTS_REQUIRED = (983040) STANDARD_RIGHTS_READ = (READ_CONTROL) STANDARD_RIGHTS_WRITE = (READ_CONTROL) STANDARD_RIGHTS_EXECUTE = (READ_CONTROL) STANDARD_RIGHTS_ALL = (2031616) SPECIFIC_RIGHTS_ALL = (65535) ACCESS_SYSTEM_SECURITY = (16777216) MAXIMUM_ALLOWED = (33554432) GENERIC_READ = (-2147483648) GENERIC_WRITE = (1073741824) GENERIC_EXECUTE = (536870912) GENERIC_ALL = (268435456) # file security permissions FILE_READ_DATA= ( 1 ) FILE_LIST_DIRECTORY= ( 1 ) FILE_WRITE_DATA= ( 2 ) FILE_ADD_FILE= ( 2 ) FILE_APPEND_DATA= ( 4 ) FILE_ADD_SUBDIRECTORY= ( 4 ) FILE_CREATE_PIPE_INSTANCE= ( 4 ) FILE_READ_EA= ( 8 ) FILE_WRITE_EA= ( 16 ) FILE_EXECUTE= ( 32 ) FILE_TRAVERSE= ( 32 ) FILE_DELETE_CHILD= ( 64 ) FILE_READ_ATTRIBUTES= ( 128 ) FILE_WRITE_ATTRIBUTES= ( 256 ) FILE_ALL_ACCESS= (STANDARD_RIGHTS_REQUIRED | SYNCHRONIZE | 511) FILE_GENERIC_READ= (STANDARD_RIGHTS_READ | FILE_READ_DATA | FILE_READ_ATTRIBUTES | FILE_READ_EA | SYNCHRONIZE) FILE_GENERIC_WRITE= (STANDARD_RIGHTS_WRITE | FILE_WRITE_DATA | FILE_WRITE_ATTRIBUTES | FILE_WRITE_EA | FILE_APPEND_DATA | SYNCHRONIZE) FILE_GENERIC_EXECUTE= (STANDARD_RIGHTS_EXECUTE | FILE_READ_ATTRIBUTES | FILE_EXECUTE | SYNCHRONIZE) SECURITY_NULL_SID_AUTHORITY = (0,0,0,0,0,0) SECURITY_WORLD_SID_AUTHORITY = (0,0,0,0,0,1) SECURITY_LOCAL_SID_AUTHORITY = (0,0,0,0,0,2) SECURITY_CREATOR_SID_AUTHORITY = (0,0,0,0,0,3) SECURITY_NON_UNIQUE_AUTHORITY = (0,0,0,0,0,4) SECURITY_RESOURCE_MANAGER_AUTHORITY = (0,0,0,0,0,9) SECURITY_NULL_RID = 0 SECURITY_WORLD_RID = 0 SECURITY_LOCAL_RID = 0X00000000 SECURITY_CREATOR_OWNER_RID = 0 SECURITY_CREATOR_GROUP_RID = 1 SECURITY_CREATOR_OWNER_SERVER_RID = 2 SECURITY_CREATOR_GROUP_SERVER_RID = 3 SECURITY_CREATOR_OWNER_RIGHTS_RID = 4 # NT well-known SIDs SECURITY_NT_AUTHORITY = (0,0,0,0,0,5) SECURITY_DIALUP_RID = 1 SECURITY_NETWORK_RID = 2 SECURITY_BATCH_RID = 3 SECURITY_INTERACTIVE_RID = 4 SECURITY_SERVICE_RID = 6 SECURITY_ANONYMOUS_LOGON_RID = 7 SECURITY_PROXY_RID = 8 SECURITY_SERVER_LOGON_RID = 9 SECURITY_LOGON_IDS_RID = 5 SECURITY_LOGON_IDS_RID_COUNT = 3 SECURITY_LOCAL_SYSTEM_RID = 18 SECURITY_NT_NON_UNIQUE = 21 SECURITY_BUILTIN_DOMAIN_RID = 32 # well-known domain relative sub-authority values (RIDs)... DOMAIN_USER_RID_ADMIN = 500 DOMAIN_USER_RID_GUEST = 501 DOMAIN_USER_RID_KRBTGT = 502 DOMAIN_USER_RID_MAX = 999 # well-known groups ... DOMAIN_GROUP_RID_ADMINS = 512 DOMAIN_GROUP_RID_USERS = 513 DOMAIN_GROUP_RID_GUESTS = 514 DOMAIN_GROUP_RID_COMPUTERS = 515 DOMAIN_GROUP_RID_CONTROLLERS = 516 DOMAIN_GROUP_RID_CERT_ADMINS = 517 DOMAIN_GROUP_RID_SCHEMA_ADMINS = 518 DOMAIN_GROUP_RID_ENTERPRISE_ADMINS = 519 DOMAIN_GROUP_RID_POLICY_ADMINS = 520 DOMAIN_GROUP_RID_READONLY_CONTROLLERS = 521 # well-known aliases ... DOMAIN_ALIAS_RID_ADMINS = 544 DOMAIN_ALIAS_RID_USERS = 545 DOMAIN_ALIAS_RID_GUESTS = 546 DOMAIN_ALIAS_RID_POWER_USERS = 547 DOMAIN_ALIAS_RID_ACCOUNT_OPS = 548 DOMAIN_ALIAS_RID_SYSTEM_OPS = 549 DOMAIN_ALIAS_RID_PRINT_OPS = 550 DOMAIN_ALIAS_RID_BACKUP_OPS = 551 DOMAIN_ALIAS_RID_REPLICATOR = 552 DOMAIN_ALIAS_RID_RAS_SERVERS = 553 DOMAIN_ALIAS_RID_PREW2KCOMPACCESS = 554 DOMAIN_ALIAS_RID_REMOTE_DESKTOP_USERS = 555 DOMAIN_ALIAS_RID_NETWORK_CONFIGURATION_OPS = 556 DOMAIN_ALIAS_RID_INCOMING_FOREST_TRUST_BUILDERS = 557 DOMAIN_ALIAS_RID_MONITORING_USERS = 558 DOMAIN_ALIAS_RID_LOGGING_USERS = 559 DOMAIN_ALIAS_RID_AUTHORIZATIONACCESS = 560 DOMAIN_ALIAS_RID_TS_LICENSE_SERVERS = 561 DOMAIN_ALIAS_RID_DCOM_USERS = 562 DOMAIN_ALIAS_RID_IUSERS = 568 DOMAIN_ALIAS_RID_CRYPTO_OPERATORS = 569 DOMAIN_ALIAS_RID_CACHEABLE_PRINCIPALS_GROUP = 571 DOMAIN_ALIAS_RID_NON_CACHEABLE_PRINCIPALS_GROUP = 572 DOMAIN_ALIAS_RID_EVENT_LOG_READERS_GROUP = 573 SECURITY_MANDATORY_LABEL_AUTHORITY = (0,0,0,0,0,16) SECURITY_MANDATORY_UNTRUSTED_RID = 0x00000000 SECURITY_MANDATORY_LOW_RID = 0x00001000 SECURITY_MANDATORY_MEDIUM_RID = 0x00002000 SECURITY_MANDATORY_HIGH_RID = 0x00003000 SECURITY_MANDATORY_SYSTEM_RID = 0x00004000 SECURITY_MANDATORY_PROTECTED_PROCESS_RID = 0x00005000 SECURITY_MANDATORY_MAXIMUM_USER_RID = SECURITY_MANDATORY_SYSTEM_RID SYSTEM_LUID = (999, 0) ANONYMOUS_LOGON_LUID = (998, 0) LOCALSERVICE_LUID = (997, 0) NETWORKSERVICE_LUID = (996, 0) IUSER_LUID = (995, 0) # Group attributes SE_GROUP_MANDATORY = 1 SE_GROUP_ENABLED_BY_DEFAULT = 2 SE_GROUP_ENABLED = 4 SE_GROUP_OWNER = 8 SE_GROUP_USE_FOR_DENY_ONLY = 16 SE_GROUP_INTEGRITY = 32 SE_GROUP_INTEGRITY_ENABLED = 64 SE_GROUP_RESOURCE = 536870912 SE_GROUP_LOGON_ID = -1073741824 # User attributes # (None yet defined.) # ACE types ACCESS_MIN_MS_ACE_TYPE = (0) ACCESS_ALLOWED_ACE_TYPE = (0) ACCESS_DENIED_ACE_TYPE = (1) SYSTEM_AUDIT_ACE_TYPE = (2) SYSTEM_ALARM_ACE_TYPE = (3) ACCESS_MAX_MS_V2_ACE_TYPE = (3) ACCESS_ALLOWED_COMPOUND_ACE_TYPE = (4) ACCESS_MAX_MS_V3_ACE_TYPE = (4) ACCESS_MIN_MS_OBJECT_ACE_TYPE = (5) ACCESS_ALLOWED_OBJECT_ACE_TYPE = (5) ACCESS_DENIED_OBJECT_ACE_TYPE = (6) SYSTEM_AUDIT_OBJECT_ACE_TYPE = (7) SYSTEM_ALARM_OBJECT_ACE_TYPE = (8) ACCESS_MAX_MS_OBJECT_ACE_TYPE = (8) ACCESS_MAX_MS_V4_ACE_TYPE = (8) ACCESS_MAX_MS_ACE_TYPE = (8) ACCESS_ALLOWED_CALLBACK_ACE_TYPE = 9 ACCESS_DENIED_CALLBACK_ACE_TYPE = 10 ACCESS_ALLOWED_CALLBACK_OBJECT_ACE_TYPE = 11 ACCESS_DENIED_CALLBACK_OBJECT_ACE_TYPE = 12 SYSTEM_AUDIT_CALLBACK_ACE_TYPE = 13 SYSTEM_ALARM_CALLBACK_ACE_TYPE = 14 SYSTEM_AUDIT_CALLBACK_OBJECT_ACE_TYPE = 15 SYSTEM_ALARM_CALLBACK_OBJECT_ACE_TYPE = 16 SYSTEM_MANDATORY_LABEL_ACE_TYPE = 17 ACCESS_MAX_MS_V5_ACE_TYPE = 17 # The following are the inherit flags that go into the AceFlags field # of an Ace header. OBJECT_INHERIT_ACE = 1 CONTAINER_INHERIT_ACE = 2 NO_PROPAGATE_INHERIT_ACE = 4 INHERIT_ONLY_ACE = 8 VALID_INHERIT_FLAGS = 15 SUCCESSFUL_ACCESS_ACE_FLAG = 64 FAILED_ACCESS_ACE_FLAG = 128 SE_OWNER_DEFAULTED = 1 SE_GROUP_DEFAULTED = 2 SE_DACL_PRESENT = 4 SE_DACL_DEFAULTED = 8 SE_SACL_PRESENT = 16 SE_SACL_DEFAULTED = 32 SE_SELF_RELATIVE = 32768 SE_PRIVILEGE_ENABLED_BY_DEFAULT = 1 SE_PRIVILEGE_ENABLED = 2 SE_PRIVILEGE_USED_FOR_ACCESS = -2147483648 PRIVILEGE_SET_ALL_NECESSARY = 1 # NT Defined Privileges SE_CREATE_TOKEN_NAME = "SeCreateTokenPrivilege" SE_ASSIGNPRIMARYTOKEN_NAME = "SeAssignPrimaryTokenPrivilege" SE_LOCK_MEMORY_NAME = "SeLockMemoryPrivilege" SE_INCREASE_QUOTA_NAME = "SeIncreaseQuotaPrivilege" SE_UNSOLICITED_INPUT_NAME = "SeUnsolicitedInputPrivilege" SE_MACHINE_ACCOUNT_NAME = "SeMachineAccountPrivilege" SE_TCB_NAME = "SeTcbPrivilege" SE_SECURITY_NAME = "SeSecurityPrivilege" SE_TAKE_OWNERSHIP_NAME = "SeTakeOwnershipPrivilege" SE_LOAD_DRIVER_NAME = "SeLoadDriverPrivilege" SE_SYSTEM_PROFILE_NAME = "SeSystemProfilePrivilege" SE_SYSTEMTIME_NAME = "SeSystemtimePrivilege" SE_PROF_SINGLE_PROCESS_NAME = "SeProfileSingleProcessPrivilege" SE_INC_BASE_PRIORITY_NAME = "SeIncreaseBasePriorityPrivilege" SE_CREATE_PAGEFILE_NAME = "SeCreatePagefilePrivilege" SE_CREATE_PERMANENT_NAME = "SeCreatePermanentPrivilege" SE_BACKUP_NAME = "SeBackupPrivilege" SE_RESTORE_NAME = "SeRestorePrivilege" SE_SHUTDOWN_NAME = "SeShutdownPrivilege" SE_DEBUG_NAME = "SeDebugPrivilege" SE_AUDIT_NAME = "SeAuditPrivilege" SE_SYSTEM_ENVIRONMENT_NAME = "SeSystemEnvironmentPrivilege" SE_CHANGE_NOTIFY_NAME = "SeChangeNotifyPrivilege" SE_REMOTE_SHUTDOWN_NAME = "SeRemoteShutdownPrivilege" # Enum SECURITY_IMPERSONATION_LEVEL: SecurityAnonymous = 0 SecurityIdentification = 1 SecurityImpersonation = 2 SecurityDelegation = 3 SECURITY_MAX_IMPERSONATION_LEVEL = SecurityDelegation DEFAULT_IMPERSONATION_LEVEL = SecurityImpersonation TOKEN_ASSIGN_PRIMARY = 1 TOKEN_DUPLICATE = 2 TOKEN_IMPERSONATE = 4 TOKEN_QUERY = 8 TOKEN_QUERY_SOURCE = 16 TOKEN_ADJUST_PRIVILEGES = 32 TOKEN_ADJUST_GROUPS = 64 TOKEN_ADJUST_DEFAULT = 128 TOKEN_ALL_ACCESS = (STANDARD_RIGHTS_REQUIRED |\ TOKEN_ASSIGN_PRIMARY |\ TOKEN_DUPLICATE |\ TOKEN_IMPERSONATE |\ TOKEN_QUERY |\ TOKEN_QUERY_SOURCE |\ TOKEN_ADJUST_PRIVILEGES |\ TOKEN_ADJUST_GROUPS |\ TOKEN_ADJUST_DEFAULT) TOKEN_READ = (STANDARD_RIGHTS_READ |\ TOKEN_QUERY) TOKEN_WRITE = (STANDARD_RIGHTS_WRITE |\ TOKEN_ADJUST_PRIVILEGES |\ TOKEN_ADJUST_GROUPS |\ TOKEN_ADJUST_DEFAULT) TOKEN_EXECUTE = (STANDARD_RIGHTS_EXECUTE) SidTypeUser = 1 SidTypeGroup = 2 SidTypeDomain =3 SidTypeAlias = 4 SidTypeWellKnownGroup = 5 SidTypeDeletedAccount = 6 SidTypeInvalid = 7 SidTypeUnknown = 8 SidTypeComputer = 9 SidTypeLabel = 10 # Token types TokenPrimary = 1 TokenImpersonation = 2 # TOKEN_INFORMATION_CLASS, used with Get/SetTokenInformation TokenUser = 1 TokenGroups = 2 TokenPrivileges = 3 TokenOwner = 4 TokenPrimaryGroup = 5 TokenDefaultDacl = 6 TokenSource = 7 TokenType = 8 TokenImpersonationLevel = 9 TokenStatistics = 10 TokenRestrictedSids = 11 TokenSessionId = 12 TokenGroupsAndPrivileges = 13 TokenSessionReference = 14 TokenSandBoxInert = 15 TokenAuditPolicy = 16 TokenOrigin = 17 TokenElevationType = 18 TokenLinkedToken = 19 TokenElevation = 20 TokenHasRestrictions = 21 TokenAccessInformation = 22 TokenVirtualizationAllowed = 23 TokenVirtualizationEnabled = 24 TokenIntegrityLevel = 25 TokenUIAccess = 26 TokenMandatoryPolicy = 27 TokenLogonSid = 28 # DirectoryService related constants. # Generated by h2py from NtDsAPI.h DS_BEHAVIOR_WIN2000 = 0 DS_BEHAVIOR_WIN2003_WITH_MIXED_DOMAINS = 1 DS_BEHAVIOR_WIN2003 = 2 DS_SYNCED_EVENT_NAME = "NTDSInitialSyncsCompleted" ACTRL_DS_OPEN = 0x00000000 ACTRL_DS_CREATE_CHILD = 0x00000001 ACTRL_DS_DELETE_CHILD = 0x00000002 ACTRL_DS_LIST = 0x00000004 ACTRL_DS_SELF = 0x00000008 ACTRL_DS_READ_PROP = 0x00000010 ACTRL_DS_WRITE_PROP = 0x00000020 ACTRL_DS_DELETE_TREE = 0x00000040 ACTRL_DS_LIST_OBJECT = 0x00000080 ACTRL_DS_CONTROL_ACCESS = 0x00000100 NTDSAPI_BIND_ALLOW_DELEGATION = (0x00000001) DS_REPSYNC_ASYNCHRONOUS_OPERATION = 0x00000001 DS_REPSYNC_WRITEABLE = 0x00000002 DS_REPSYNC_PERIODIC = 0x00000004 DS_REPSYNC_INTERSITE_MESSAGING = 0x00000008 DS_REPSYNC_ALL_SOURCES = 0x00000010 DS_REPSYNC_FULL = 0x00000020 DS_REPSYNC_URGENT = 0x00000040 DS_REPSYNC_NO_DISCARD = 0x00000080 DS_REPSYNC_FORCE = 0x00000100 DS_REPSYNC_ADD_REFERENCE = 0x00000200 DS_REPSYNC_NEVER_COMPLETED = 0x00000400 DS_REPSYNC_TWO_WAY = 0x00000800 DS_REPSYNC_NEVER_NOTIFY = 0x00001000 DS_REPSYNC_INITIAL = 0x00002000 DS_REPSYNC_USE_COMPRESSION = 0x00004000 DS_REPSYNC_ABANDONED = 0x00008000 DS_REPSYNC_INITIAL_IN_PROGRESS = 0x00010000 DS_REPSYNC_PARTIAL_ATTRIBUTE_SET = 0x00020000 DS_REPSYNC_REQUEUE = 0x00040000 DS_REPSYNC_NOTIFICATION = 0x00080000 DS_REPSYNC_ASYNCHRONOUS_REPLICA = 0x00100000 DS_REPSYNC_CRITICAL = 0x00200000 DS_REPSYNC_FULL_IN_PROGRESS = 0x00400000 DS_REPSYNC_PREEMPTED = 0x00800000 DS_REPADD_ASYNCHRONOUS_OPERATION = 0x00000001 DS_REPADD_WRITEABLE = 0x00000002 DS_REPADD_INITIAL = 0x00000004 DS_REPADD_PERIODIC = 0x00000008 DS_REPADD_INTERSITE_MESSAGING = 0x00000010 DS_REPADD_ASYNCHRONOUS_REPLICA = 0x00000020 DS_REPADD_DISABLE_NOTIFICATION = 0x00000040 DS_REPADD_DISABLE_PERIODIC = 0x00000080 DS_REPADD_USE_COMPRESSION = 0x00000100 DS_REPADD_NEVER_NOTIFY = 0x00000200 DS_REPADD_TWO_WAY = 0x00000400 DS_REPADD_CRITICAL = 0x00000800 DS_REPDEL_ASYNCHRONOUS_OPERATION = 0x00000001 DS_REPDEL_WRITEABLE = 0x00000002 DS_REPDEL_INTERSITE_MESSAGING = 0x00000004 DS_REPDEL_IGNORE_ERRORS = 0x00000008 DS_REPDEL_LOCAL_ONLY = 0x00000010 DS_REPDEL_NO_SOURCE = 0x00000020 DS_REPDEL_REF_OK = 0x00000040 DS_REPMOD_ASYNCHRONOUS_OPERATION = 0x00000001 DS_REPMOD_WRITEABLE = 0x00000002 DS_REPMOD_UPDATE_FLAGS = 0x00000001 DS_REPMOD_UPDATE_ADDRESS = 0x00000002 DS_REPMOD_UPDATE_SCHEDULE = 0x00000004 DS_REPMOD_UPDATE_RESULT = 0x00000008 DS_REPMOD_UPDATE_TRANSPORT = 0x00000010 DS_REPUPD_ASYNCHRONOUS_OPERATION = 0x00000001 DS_REPUPD_WRITEABLE = 0x00000002 DS_REPUPD_ADD_REFERENCE = 0x00000004 DS_REPUPD_DELETE_REFERENCE = 0x00000008 DS_INSTANCETYPE_IS_NC_HEAD = 0x00000001 DS_INSTANCETYPE_NC_IS_WRITEABLE = 0x00000004 DS_INSTANCETYPE_NC_COMING = 0x00000010 DS_INSTANCETYPE_NC_GOING = 0x00000020 NTDSDSA_OPT_IS_GC = ( 1 << 0 ) NTDSDSA_OPT_DISABLE_INBOUND_REPL = ( 1 << 1 ) NTDSDSA_OPT_DISABLE_OUTBOUND_REPL = ( 1 << 2 ) NTDSDSA_OPT_DISABLE_NTDSCONN_XLATE = ( 1 << 3 ) NTDSCONN_OPT_IS_GENERATED = ( 1 << 0 ) NTDSCONN_OPT_TWOWAY_SYNC = ( 1 << 1 ) NTDSCONN_OPT_OVERRIDE_NOTIFY_DEFAULT = (1 << 2 ) NTDSCONN_OPT_USE_NOTIFY = (1 << 3) NTDSCONN_OPT_DISABLE_INTERSITE_COMPRESSION = (1 << 4) NTDSCONN_OPT_USER_OWNED_SCHEDULE = (1 << 5) NTDSCONN_KCC_NO_REASON = ( 0 ) NTDSCONN_KCC_GC_TOPOLOGY = ( 1 << 0 ) NTDSCONN_KCC_RING_TOPOLOGY = ( 1 << 1 ) NTDSCONN_KCC_MINIMIZE_HOPS_TOPOLOGY = ( 1 << 2 ) NTDSCONN_KCC_STALE_SERVERS_TOPOLOGY = ( 1 << 3 ) NTDSCONN_KCC_OSCILLATING_CONNECTION_TOPOLOGY = ( 1 << 4 ) NTDSCONN_KCC_INTERSITE_GC_TOPOLOGY = (1 << 5) NTDSCONN_KCC_INTERSITE_TOPOLOGY = (1 << 6) NTDSCONN_KCC_SERVER_FAILOVER_TOPOLOGY = (1 << 7) NTDSCONN_KCC_SITE_FAILOVER_TOPOLOGY = (1 << 8) NTDSCONN_KCC_REDUNDANT_SERVER_TOPOLOGY = (1 << 9) FRSCONN_PRIORITY_MASK = 0x70000000 FRSCONN_MAX_PRIORITY = 0x8 NTDSCONN_OPT_IGNORE_SCHEDULE_MASK = (-2147483648) NTDSSETTINGS_OPT_IS_AUTO_TOPOLOGY_DISABLED = ( 1 << 0 ) NTDSSETTINGS_OPT_IS_TOPL_CLEANUP_DISABLED = ( 1 << 1 ) NTDSSETTINGS_OPT_IS_TOPL_MIN_HOPS_DISABLED = ( 1 << 2 ) NTDSSETTINGS_OPT_IS_TOPL_DETECT_STALE_DISABLED = ( 1 << 3 ) NTDSSETTINGS_OPT_IS_INTER_SITE_AUTO_TOPOLOGY_DISABLED = ( 1 << 4 ) NTDSSETTINGS_OPT_IS_GROUP_CACHING_ENABLED = ( 1 << 5 ) NTDSSETTINGS_OPT_FORCE_KCC_WHISTLER_BEHAVIOR = ( 1 << 6 ) NTDSSETTINGS_OPT_FORCE_KCC_W2K_ELECTION = ( 1 << 7 ) NTDSSETTINGS_OPT_IS_RAND_BH_SELECTION_DISABLED = ( 1 << 8 ) NTDSSETTINGS_OPT_IS_SCHEDULE_HASHING_ENABLED = ( 1 << 9 ) NTDSSETTINGS_OPT_IS_REDUNDANT_SERVER_TOPOLOGY_ENABLED = ( 1 << 10 ) NTDSSETTINGS_DEFAULT_SERVER_REDUNDANCY = 2 NTDSTRANSPORT_OPT_IGNORE_SCHEDULES = ( 1 << 0 ) NTDSTRANSPORT_OPT_BRIDGES_REQUIRED = (1 << 1 ) NTDSSITECONN_OPT_USE_NOTIFY = ( 1 << 0 ) NTDSSITECONN_OPT_TWOWAY_SYNC = ( 1 << 1 ) NTDSSITECONN_OPT_DISABLE_COMPRESSION = ( 1 << 2 ) NTDSSITELINK_OPT_USE_NOTIFY = ( 1 << 0 ) NTDSSITELINK_OPT_TWOWAY_SYNC = ( 1 << 1 ) NTDSSITELINK_OPT_DISABLE_COMPRESSION = ( 1 << 2 ) GUID_USERS_CONTAINER_A = "a9d1ca15768811d1aded00c04fd8d5cd" GUID_COMPUTRS_CONTAINER_A = "aa312825768811d1aded00c04fd8d5cd" GUID_SYSTEMS_CONTAINER_A = "ab1d30f3768811d1aded00c04fd8d5cd" GUID_DOMAIN_CONTROLLERS_CONTAINER_A = "a361b2ffffd211d1aa4b00c04fd7d83a" GUID_INFRASTRUCTURE_CONTAINER_A = "2fbac1870ade11d297c400c04fd8d5cd" GUID_DELETED_OBJECTS_CONTAINER_A = "18e2ea80684f11d2b9aa00c04f79f805" GUID_LOSTANDFOUND_CONTAINER_A = "ab8153b7768811d1aded00c04fd8d5cd" GUID_FOREIGNSECURITYPRINCIPALS_CONTAINER_A = "22b70c67d56e4efb91e9300fca3dc1aa" GUID_PROGRAM_DATA_CONTAINER_A = "09460c08ae1e4a4ea0f64aee7daa1e5a" GUID_MICROSOFT_PROGRAM_DATA_CONTAINER_A = "f4be92a4c777485e878e9421d53087db" GUID_NTDS_QUOTAS_CONTAINER_A = "6227f0af1fc2410d8e3bb10615bb5b0f" GUID_USERS_CONTAINER_BYTE = "\xa9\xd1\xca\x15\x76\x88\x11\xd1\xad\xed\x00\xc0\x4f\xd8\xd5\xcd" GUID_COMPUTRS_CONTAINER_BYTE = "\xaa\x31\x28\x25\x76\x88\x11\xd1\xad\xed\x00\xc0\x4f\xd8\xd5\xcd" GUID_SYSTEMS_CONTAINER_BYTE = "\xab\x1d\x30\xf3\x76\x88\x11\xd1\xad\xed\x00\xc0\x4f\xd8\xd5\xcd" GUID_DOMAIN_CONTROLLERS_CONTAINER_BYTE = "\xa3\x61\xb2\xff\xff\xd2\x11\xd1\xaa\x4b\x00\xc0\x4f\xd7\xd8\x3a" GUID_INFRASTRUCTURE_CONTAINER_BYTE = "\x2f\xba\xc1\x87\x0a\xde\x11\xd2\x97\xc4\x00\xc0\x4f\xd8\xd5\xcd" GUID_DELETED_OBJECTS_CONTAINER_BYTE = "\x18\xe2\xea\x80\x68\x4f\x11\xd2\xb9\xaa\x00\xc0\x4f\x79\xf8\x05" GUID_LOSTANDFOUND_CONTAINER_BYTE = "\xab\x81\x53\xb7\x76\x88\x11\xd1\xad\xed\x00\xc0\x4f\xd8\xd5\xcd" GUID_FOREIGNSECURITYPRINCIPALS_CONTAINER_BYTE = "\x22\xb7\x0c\x67\xd5\x6e\x4e\xfb\x91\xe9\x30\x0f\xca\x3d\xc1\xaa" GUID_PROGRAM_DATA_CONTAINER_BYTE = "\x09\x46\x0c\x08\xae\x1e\x4a\x4e\xa0\xf6\x4a\xee\x7d\xaa\x1e\x5a" GUID_MICROSOFT_PROGRAM_DATA_CONTAINER_BYTE = "\xf4\xbe\x92\xa4\xc7\x77\x48\x5e\x87\x8e\x94\x21\xd5\x30\x87\xdb" GUID_NTDS_QUOTAS_CONTAINER_BYTE = "\x62\x27\xf0\xaf\x1f\xc2\x41\x0d\x8e\x3b\xb1\x06\x15\xbb\x5b\x0f" DS_REPSYNCALL_NO_OPTIONS = 0x00000000 DS_REPSYNCALL_ABORT_IF_SERVER_UNAVAILABLE = 0x00000001 DS_REPSYNCALL_SYNC_ADJACENT_SERVERS_ONLY = 0x00000002 DS_REPSYNCALL_ID_SERVERS_BY_DN = 0x00000004 DS_REPSYNCALL_DO_NOT_SYNC = 0x00000008 DS_REPSYNCALL_SKIP_INITIAL_CHECK = 0x00000010 DS_REPSYNCALL_PUSH_CHANGES_OUTWARD = 0x00000020 DS_REPSYNCALL_CROSS_SITE_BOUNDARIES = 0x00000040 DS_LIST_DSA_OBJECT_FOR_SERVER = 0 DS_LIST_DNS_HOST_NAME_FOR_SERVER = 1 DS_LIST_ACCOUNT_OBJECT_FOR_SERVER = 2 DS_ROLE_SCHEMA_OWNER = 0 DS_ROLE_DOMAIN_OWNER = 1 DS_ROLE_PDC_OWNER = 2 DS_ROLE_RID_OWNER = 3 DS_ROLE_INFRASTRUCTURE_OWNER = 4 DS_SCHEMA_GUID_NOT_FOUND = 0 DS_SCHEMA_GUID_ATTR = 1 DS_SCHEMA_GUID_ATTR_SET = 2 DS_SCHEMA_GUID_CLASS = 3 DS_SCHEMA_GUID_CONTROL_RIGHT = 4 DS_KCC_FLAG_ASYNC_OP = (1 << 0) DS_KCC_FLAG_DAMPED = (1 << 1) DS_EXIST_ADVISORY_MODE = (0x1) DS_REPL_INFO_FLAG_IMPROVE_LINKED_ATTRS = (0x00000001) DS_REPL_NBR_WRITEABLE = (0x00000010) DS_REPL_NBR_SYNC_ON_STARTUP = (0x00000020) DS_REPL_NBR_DO_SCHEDULED_SYNCS = (0x00000040) DS_REPL_NBR_USE_ASYNC_INTERSITE_TRANSPORT = (0x00000080) DS_REPL_NBR_TWO_WAY_SYNC = (0x00000200) DS_REPL_NBR_RETURN_OBJECT_PARENTS = (0x00000800) DS_REPL_NBR_FULL_SYNC_IN_PROGRESS = (0x00010000) DS_REPL_NBR_FULL_SYNC_NEXT_PACKET = (0x00020000) DS_REPL_NBR_NEVER_SYNCED = (0x00200000) DS_REPL_NBR_PREEMPTED = (0x01000000) DS_REPL_NBR_IGNORE_CHANGE_NOTIFICATIONS = (0x04000000) DS_REPL_NBR_DISABLE_SCHEDULED_SYNC = (0x08000000) DS_REPL_NBR_COMPRESS_CHANGES = (0x10000000) DS_REPL_NBR_NO_CHANGE_NOTIFICATIONS = (0x20000000) DS_REPL_NBR_PARTIAL_ATTRIBUTE_SET = (0x40000000) DS_REPL_NBR_MODIFIABLE_MASK = \ ( \ DS_REPL_NBR_SYNC_ON_STARTUP | \ DS_REPL_NBR_DO_SCHEDULED_SYNCS | \ DS_REPL_NBR_TWO_WAY_SYNC | \ DS_REPL_NBR_IGNORE_CHANGE_NOTIFICATIONS | \ DS_REPL_NBR_DISABLE_SCHEDULED_SYNC | \ DS_REPL_NBR_COMPRESS_CHANGES | \ DS_REPL_NBR_NO_CHANGE_NOTIFICATIONS \ ) # from enum DS_NAME_FORMAT DS_UNKNOWN_NAME = 0 DS_FQDN_1779_NAME = 1 DS_NT4_ACCOUNT_NAME = 2 DS_DISPLAY_NAME = 3 DS_UNIQUE_ID_NAME = 6 DS_CANONICAL_NAME = 7 DS_USER_PRINCIPAL_NAME = 8 DS_CANONICAL_NAME_EX = 9 DS_SERVICE_PRINCIPAL_NAME = 10 DS_SID_OR_SID_HISTORY_NAME = 11 DS_DNS_DOMAIN_NAME = 12 DS_DOMAIN_SIMPLE_NAME = DS_USER_PRINCIPAL_NAME DS_ENTERPRISE_SIMPLE_NAME = DS_USER_PRINCIPAL_NAME # from enum DS_NAME_FLAGS DS_NAME_NO_FLAGS = 0x0 DS_NAME_FLAG_SYNTACTICAL_ONLY = 0x1 DS_NAME_FLAG_EVAL_AT_DC = 0x2 DS_NAME_FLAG_GCVERIFY = 0x4 DS_NAME_FLAG_TRUST_REFERRAL = 0x8 # from enum DS_NAME_ERROR DS_NAME_NO_ERROR = 0 DS_NAME_ERROR_RESOLVING = 1 DS_NAME_ERROR_NOT_FOUND = 2 DS_NAME_ERROR_NOT_UNIQUE = 3 DS_NAME_ERROR_NO_MAPPING = 4 DS_NAME_ERROR_DOMAIN_ONLY = 5 DS_NAME_ERROR_NO_SYNTACTICAL_MAPPING = 6 DS_NAME_ERROR_TRUST_REFERRAL = 7 # from enum DS_SPN_NAME_TYPE DS_SPN_DNS_HOST = 0 DS_SPN_DN_HOST = 1 DS_SPN_NB_HOST = 2 DS_SPN_DOMAIN = 3 DS_SPN_NB_DOMAIN = 4 DS_SPN_SERVICE = 5 # from enum DS_SPN_WRITE_OP DS_SPN_ADD_SPN_OP = 0 DS_SPN_REPLACE_SPN_OP = 1 DS_SPN_DELETE_SPN_OP = 2 # Generated by h2py from DsGetDC.h DS_FORCE_REDISCOVERY = 0x00000001 DS_DIRECTORY_SERVICE_REQUIRED = 0x00000010 DS_DIRECTORY_SERVICE_PREFERRED = 0x00000020 DS_GC_SERVER_REQUIRED = 0x00000040 DS_PDC_REQUIRED = 0x00000080 DS_BACKGROUND_ONLY = 0x00000100 DS_IP_REQUIRED = 0x00000200 DS_KDC_REQUIRED = 0x00000400 DS_TIMESERV_REQUIRED = 0x00000800 DS_WRITABLE_REQUIRED = 0x00001000 DS_GOOD_TIMESERV_PREFERRED = 0x00002000 DS_AVOID_SELF = 0x00004000 DS_ONLY_LDAP_NEEDED = 0x00008000 DS_IS_FLAT_NAME = 0x00010000 DS_IS_DNS_NAME = 0x00020000 DS_RETURN_DNS_NAME = 0x40000000 DS_RETURN_FLAT_NAME = (-2147483648) DSGETDC_VALID_FLAGS = ( \ DS_FORCE_REDISCOVERY | \ DS_DIRECTORY_SERVICE_REQUIRED | \ DS_DIRECTORY_SERVICE_PREFERRED | \ DS_GC_SERVER_REQUIRED | \ DS_PDC_REQUIRED | \ DS_BACKGROUND_ONLY | \ DS_IP_REQUIRED | \ DS_KDC_REQUIRED | \ DS_TIMESERV_REQUIRED | \ DS_WRITABLE_REQUIRED | \ DS_GOOD_TIMESERV_PREFERRED | \ DS_AVOID_SELF | \ DS_ONLY_LDAP_NEEDED | \ DS_IS_FLAT_NAME | \ DS_IS_DNS_NAME | \ DS_RETURN_FLAT_NAME | \ DS_RETURN_DNS_NAME ) DS_INET_ADDRESS = 1 DS_NETBIOS_ADDRESS = 2 DS_PDC_FLAG = 0x00000001 DS_GC_FLAG = 0x00000004 DS_LDAP_FLAG = 0x00000008 DS_DS_FLAG = 0x00000010 DS_KDC_FLAG = 0x00000020 DS_TIMESERV_FLAG = 0x00000040 DS_CLOSEST_FLAG = 0x00000080 DS_WRITABLE_FLAG = 0x00000100 DS_GOOD_TIMESERV_FLAG = 0x00000200 DS_NDNC_FLAG = 0x00000400 DS_PING_FLAGS = 0x0000FFFF DS_DNS_CONTROLLER_FLAG = 0x20000000 DS_DNS_DOMAIN_FLAG = 0x40000000 DS_DNS_FOREST_FLAG = (-2147483648) DS_DOMAIN_IN_FOREST = 0x0001 DS_DOMAIN_DIRECT_OUTBOUND = 0x0002 DS_DOMAIN_TREE_ROOT = 0x0004 DS_DOMAIN_PRIMARY = 0x0008 DS_DOMAIN_NATIVE_MODE = 0x0010 DS_DOMAIN_DIRECT_INBOUND = 0x0020 DS_DOMAIN_VALID_FLAGS = ( \ DS_DOMAIN_IN_FOREST | \ DS_DOMAIN_DIRECT_OUTBOUND | \ DS_DOMAIN_TREE_ROOT | \ DS_DOMAIN_PRIMARY | \ DS_DOMAIN_NATIVE_MODE | \ DS_DOMAIN_DIRECT_INBOUND ) DS_GFTI_UPDATE_TDO = 0x1 DS_GFTI_VALID_FLAGS = 0x1 DS_ONLY_DO_SITE_NAME = 0x01 DS_NOTIFY_AFTER_SITE_RECORDS = 0x02 DS_OPEN_VALID_OPTION_FLAGS = ( DS_ONLY_DO_SITE_NAME | DS_NOTIFY_AFTER_SITE_RECORDS ) DS_OPEN_VALID_FLAGS = ( \ DS_FORCE_REDISCOVERY | \ DS_ONLY_LDAP_NEEDED | \ DS_KDC_REQUIRED | \ DS_PDC_REQUIRED | \ DS_GC_SERVER_REQUIRED | \ DS_WRITABLE_REQUIRED ) ## from aclui.h # SI_OBJECT_INFO.dwFlags SI_EDIT_PERMS = 0x00000000 SI_EDIT_OWNER = 0x00000001 SI_EDIT_AUDITS = 0x00000002 SI_CONTAINER = 0x00000004 SI_READONLY = 0x00000008 SI_ADVANCED = 0x00000010 SI_RESET = 0x00000020 SI_OWNER_READONLY = 0x00000040 SI_EDIT_PROPERTIES = 0x00000080 SI_OWNER_RECURSE = 0x00000100 SI_NO_ACL_PROTECT = 0x00000200 SI_NO_TREE_APPLY = 0x00000400 SI_PAGE_TITLE = 0x00000800 SI_SERVER_IS_DC = 0x00001000 SI_RESET_DACL_TREE = 0x00004000 SI_RESET_SACL_TREE = 0x00008000 SI_OBJECT_GUID = 0x00010000 SI_EDIT_EFFECTIVE = 0x00020000 SI_RESET_DACL = 0x00040000 SI_RESET_SACL = 0x00080000 SI_RESET_OWNER = 0x00100000 SI_NO_ADDITIONAL_PERMISSION = 0x00200000 SI_MAY_WRITE = 0x10000000 SI_EDIT_ALL = (SI_EDIT_PERMS | SI_EDIT_OWNER | SI_EDIT_AUDITS) SI_AUDITS_ELEVATION_REQUIRED = 0x02000000 SI_VIEW_ONLY = 0x00400000 SI_OWNER_ELEVATION_REQUIRED = 0x04000000 SI_PERMS_ELEVATION_REQUIRED = 0x01000000 # SI_ACCESS.dwFlags SI_ACCESS_SPECIFIC = 0x00010000 SI_ACCESS_GENERAL = 0x00020000 SI_ACCESS_CONTAINER = 0x00040000 SI_ACCESS_PROPERTY = 0x00080000 # SI_PAGE_TYPE enum SI_PAGE_PERM = 0 SI_PAGE_ADVPERM = 1 SI_PAGE_AUDIT = 2 SI_PAGE_OWNER = 3 SI_PAGE_EFFECTIVE =4 CFSTR_ACLUI_SID_INFO_LIST = "CFSTR_ACLUI_SID_INFO_LIST" PSPCB_SI_INITDIALOG = 1025 ## WM_USER+1
delete = 65536 read_control = 131072 write_dac = 262144 write_owner = 524288 synchronize = 1048576 standard_rights_required = 983040 standard_rights_read = READ_CONTROL standard_rights_write = READ_CONTROL standard_rights_execute = READ_CONTROL standard_rights_all = 2031616 specific_rights_all = 65535 access_system_security = 16777216 maximum_allowed = 33554432 generic_read = -2147483648 generic_write = 1073741824 generic_execute = 536870912 generic_all = 268435456 file_read_data = 1 file_list_directory = 1 file_write_data = 2 file_add_file = 2 file_append_data = 4 file_add_subdirectory = 4 file_create_pipe_instance = 4 file_read_ea = 8 file_write_ea = 16 file_execute = 32 file_traverse = 32 file_delete_child = 64 file_read_attributes = 128 file_write_attributes = 256 file_all_access = STANDARD_RIGHTS_REQUIRED | SYNCHRONIZE | 511 file_generic_read = STANDARD_RIGHTS_READ | FILE_READ_DATA | FILE_READ_ATTRIBUTES | FILE_READ_EA | SYNCHRONIZE file_generic_write = STANDARD_RIGHTS_WRITE | FILE_WRITE_DATA | FILE_WRITE_ATTRIBUTES | FILE_WRITE_EA | FILE_APPEND_DATA | SYNCHRONIZE file_generic_execute = STANDARD_RIGHTS_EXECUTE | FILE_READ_ATTRIBUTES | FILE_EXECUTE | SYNCHRONIZE security_null_sid_authority = (0, 0, 0, 0, 0, 0) security_world_sid_authority = (0, 0, 0, 0, 0, 1) security_local_sid_authority = (0, 0, 0, 0, 0, 2) security_creator_sid_authority = (0, 0, 0, 0, 0, 3) security_non_unique_authority = (0, 0, 0, 0, 0, 4) security_resource_manager_authority = (0, 0, 0, 0, 0, 9) security_null_rid = 0 security_world_rid = 0 security_local_rid = 0 security_creator_owner_rid = 0 security_creator_group_rid = 1 security_creator_owner_server_rid = 2 security_creator_group_server_rid = 3 security_creator_owner_rights_rid = 4 security_nt_authority = (0, 0, 0, 0, 0, 5) security_dialup_rid = 1 security_network_rid = 2 security_batch_rid = 3 security_interactive_rid = 4 security_service_rid = 6 security_anonymous_logon_rid = 7 security_proxy_rid = 8 security_server_logon_rid = 9 security_logon_ids_rid = 5 security_logon_ids_rid_count = 3 security_local_system_rid = 18 security_nt_non_unique = 21 security_builtin_domain_rid = 32 domain_user_rid_admin = 500 domain_user_rid_guest = 501 domain_user_rid_krbtgt = 502 domain_user_rid_max = 999 domain_group_rid_admins = 512 domain_group_rid_users = 513 domain_group_rid_guests = 514 domain_group_rid_computers = 515 domain_group_rid_controllers = 516 domain_group_rid_cert_admins = 517 domain_group_rid_schema_admins = 518 domain_group_rid_enterprise_admins = 519 domain_group_rid_policy_admins = 520 domain_group_rid_readonly_controllers = 521 domain_alias_rid_admins = 544 domain_alias_rid_users = 545 domain_alias_rid_guests = 546 domain_alias_rid_power_users = 547 domain_alias_rid_account_ops = 548 domain_alias_rid_system_ops = 549 domain_alias_rid_print_ops = 550 domain_alias_rid_backup_ops = 551 domain_alias_rid_replicator = 552 domain_alias_rid_ras_servers = 553 domain_alias_rid_prew2_kcompaccess = 554 domain_alias_rid_remote_desktop_users = 555 domain_alias_rid_network_configuration_ops = 556 domain_alias_rid_incoming_forest_trust_builders = 557 domain_alias_rid_monitoring_users = 558 domain_alias_rid_logging_users = 559 domain_alias_rid_authorizationaccess = 560 domain_alias_rid_ts_license_servers = 561 domain_alias_rid_dcom_users = 562 domain_alias_rid_iusers = 568 domain_alias_rid_crypto_operators = 569 domain_alias_rid_cacheable_principals_group = 571 domain_alias_rid_non_cacheable_principals_group = 572 domain_alias_rid_event_log_readers_group = 573 security_mandatory_label_authority = (0, 0, 0, 0, 0, 16) security_mandatory_untrusted_rid = 0 security_mandatory_low_rid = 4096 security_mandatory_medium_rid = 8192 security_mandatory_high_rid = 12288 security_mandatory_system_rid = 16384 security_mandatory_protected_process_rid = 20480 security_mandatory_maximum_user_rid = SECURITY_MANDATORY_SYSTEM_RID system_luid = (999, 0) anonymous_logon_luid = (998, 0) localservice_luid = (997, 0) networkservice_luid = (996, 0) iuser_luid = (995, 0) se_group_mandatory = 1 se_group_enabled_by_default = 2 se_group_enabled = 4 se_group_owner = 8 se_group_use_for_deny_only = 16 se_group_integrity = 32 se_group_integrity_enabled = 64 se_group_resource = 536870912 se_group_logon_id = -1073741824 access_min_ms_ace_type = 0 access_allowed_ace_type = 0 access_denied_ace_type = 1 system_audit_ace_type = 2 system_alarm_ace_type = 3 access_max_ms_v2_ace_type = 3 access_allowed_compound_ace_type = 4 access_max_ms_v3_ace_type = 4 access_min_ms_object_ace_type = 5 access_allowed_object_ace_type = 5 access_denied_object_ace_type = 6 system_audit_object_ace_type = 7 system_alarm_object_ace_type = 8 access_max_ms_object_ace_type = 8 access_max_ms_v4_ace_type = 8 access_max_ms_ace_type = 8 access_allowed_callback_ace_type = 9 access_denied_callback_ace_type = 10 access_allowed_callback_object_ace_type = 11 access_denied_callback_object_ace_type = 12 system_audit_callback_ace_type = 13 system_alarm_callback_ace_type = 14 system_audit_callback_object_ace_type = 15 system_alarm_callback_object_ace_type = 16 system_mandatory_label_ace_type = 17 access_max_ms_v5_ace_type = 17 object_inherit_ace = 1 container_inherit_ace = 2 no_propagate_inherit_ace = 4 inherit_only_ace = 8 valid_inherit_flags = 15 successful_access_ace_flag = 64 failed_access_ace_flag = 128 se_owner_defaulted = 1 se_group_defaulted = 2 se_dacl_present = 4 se_dacl_defaulted = 8 se_sacl_present = 16 se_sacl_defaulted = 32 se_self_relative = 32768 se_privilege_enabled_by_default = 1 se_privilege_enabled = 2 se_privilege_used_for_access = -2147483648 privilege_set_all_necessary = 1 se_create_token_name = 'SeCreateTokenPrivilege' se_assignprimarytoken_name = 'SeAssignPrimaryTokenPrivilege' se_lock_memory_name = 'SeLockMemoryPrivilege' se_increase_quota_name = 'SeIncreaseQuotaPrivilege' se_unsolicited_input_name = 'SeUnsolicitedInputPrivilege' se_machine_account_name = 'SeMachineAccountPrivilege' se_tcb_name = 'SeTcbPrivilege' se_security_name = 'SeSecurityPrivilege' se_take_ownership_name = 'SeTakeOwnershipPrivilege' se_load_driver_name = 'SeLoadDriverPrivilege' se_system_profile_name = 'SeSystemProfilePrivilege' se_systemtime_name = 'SeSystemtimePrivilege' se_prof_single_process_name = 'SeProfileSingleProcessPrivilege' se_inc_base_priority_name = 'SeIncreaseBasePriorityPrivilege' se_create_pagefile_name = 'SeCreatePagefilePrivilege' se_create_permanent_name = 'SeCreatePermanentPrivilege' se_backup_name = 'SeBackupPrivilege' se_restore_name = 'SeRestorePrivilege' se_shutdown_name = 'SeShutdownPrivilege' se_debug_name = 'SeDebugPrivilege' se_audit_name = 'SeAuditPrivilege' se_system_environment_name = 'SeSystemEnvironmentPrivilege' se_change_notify_name = 'SeChangeNotifyPrivilege' se_remote_shutdown_name = 'SeRemoteShutdownPrivilege' security_anonymous = 0 security_identification = 1 security_impersonation = 2 security_delegation = 3 security_max_impersonation_level = SecurityDelegation default_impersonation_level = SecurityImpersonation token_assign_primary = 1 token_duplicate = 2 token_impersonate = 4 token_query = 8 token_query_source = 16 token_adjust_privileges = 32 token_adjust_groups = 64 token_adjust_default = 128 token_all_access = STANDARD_RIGHTS_REQUIRED | TOKEN_ASSIGN_PRIMARY | TOKEN_DUPLICATE | TOKEN_IMPERSONATE | TOKEN_QUERY | TOKEN_QUERY_SOURCE | TOKEN_ADJUST_PRIVILEGES | TOKEN_ADJUST_GROUPS | TOKEN_ADJUST_DEFAULT token_read = STANDARD_RIGHTS_READ | TOKEN_QUERY token_write = STANDARD_RIGHTS_WRITE | TOKEN_ADJUST_PRIVILEGES | TOKEN_ADJUST_GROUPS | TOKEN_ADJUST_DEFAULT token_execute = STANDARD_RIGHTS_EXECUTE sid_type_user = 1 sid_type_group = 2 sid_type_domain = 3 sid_type_alias = 4 sid_type_well_known_group = 5 sid_type_deleted_account = 6 sid_type_invalid = 7 sid_type_unknown = 8 sid_type_computer = 9 sid_type_label = 10 token_primary = 1 token_impersonation = 2 token_user = 1 token_groups = 2 token_privileges = 3 token_owner = 4 token_primary_group = 5 token_default_dacl = 6 token_source = 7 token_type = 8 token_impersonation_level = 9 token_statistics = 10 token_restricted_sids = 11 token_session_id = 12 token_groups_and_privileges = 13 token_session_reference = 14 token_sand_box_inert = 15 token_audit_policy = 16 token_origin = 17 token_elevation_type = 18 token_linked_token = 19 token_elevation = 20 token_has_restrictions = 21 token_access_information = 22 token_virtualization_allowed = 23 token_virtualization_enabled = 24 token_integrity_level = 25 token_ui_access = 26 token_mandatory_policy = 27 token_logon_sid = 28 ds_behavior_win2000 = 0 ds_behavior_win2003_with_mixed_domains = 1 ds_behavior_win2003 = 2 ds_synced_event_name = 'NTDSInitialSyncsCompleted' actrl_ds_open = 0 actrl_ds_create_child = 1 actrl_ds_delete_child = 2 actrl_ds_list = 4 actrl_ds_self = 8 actrl_ds_read_prop = 16 actrl_ds_write_prop = 32 actrl_ds_delete_tree = 64 actrl_ds_list_object = 128 actrl_ds_control_access = 256 ntdsapi_bind_allow_delegation = 1 ds_repsync_asynchronous_operation = 1 ds_repsync_writeable = 2 ds_repsync_periodic = 4 ds_repsync_intersite_messaging = 8 ds_repsync_all_sources = 16 ds_repsync_full = 32 ds_repsync_urgent = 64 ds_repsync_no_discard = 128 ds_repsync_force = 256 ds_repsync_add_reference = 512 ds_repsync_never_completed = 1024 ds_repsync_two_way = 2048 ds_repsync_never_notify = 4096 ds_repsync_initial = 8192 ds_repsync_use_compression = 16384 ds_repsync_abandoned = 32768 ds_repsync_initial_in_progress = 65536 ds_repsync_partial_attribute_set = 131072 ds_repsync_requeue = 262144 ds_repsync_notification = 524288 ds_repsync_asynchronous_replica = 1048576 ds_repsync_critical = 2097152 ds_repsync_full_in_progress = 4194304 ds_repsync_preempted = 8388608 ds_repadd_asynchronous_operation = 1 ds_repadd_writeable = 2 ds_repadd_initial = 4 ds_repadd_periodic = 8 ds_repadd_intersite_messaging = 16 ds_repadd_asynchronous_replica = 32 ds_repadd_disable_notification = 64 ds_repadd_disable_periodic = 128 ds_repadd_use_compression = 256 ds_repadd_never_notify = 512 ds_repadd_two_way = 1024 ds_repadd_critical = 2048 ds_repdel_asynchronous_operation = 1 ds_repdel_writeable = 2 ds_repdel_intersite_messaging = 4 ds_repdel_ignore_errors = 8 ds_repdel_local_only = 16 ds_repdel_no_source = 32 ds_repdel_ref_ok = 64 ds_repmod_asynchronous_operation = 1 ds_repmod_writeable = 2 ds_repmod_update_flags = 1 ds_repmod_update_address = 2 ds_repmod_update_schedule = 4 ds_repmod_update_result = 8 ds_repmod_update_transport = 16 ds_repupd_asynchronous_operation = 1 ds_repupd_writeable = 2 ds_repupd_add_reference = 4 ds_repupd_delete_reference = 8 ds_instancetype_is_nc_head = 1 ds_instancetype_nc_is_writeable = 4 ds_instancetype_nc_coming = 16 ds_instancetype_nc_going = 32 ntdsdsa_opt_is_gc = 1 << 0 ntdsdsa_opt_disable_inbound_repl = 1 << 1 ntdsdsa_opt_disable_outbound_repl = 1 << 2 ntdsdsa_opt_disable_ntdsconn_xlate = 1 << 3 ntdsconn_opt_is_generated = 1 << 0 ntdsconn_opt_twoway_sync = 1 << 1 ntdsconn_opt_override_notify_default = 1 << 2 ntdsconn_opt_use_notify = 1 << 3 ntdsconn_opt_disable_intersite_compression = 1 << 4 ntdsconn_opt_user_owned_schedule = 1 << 5 ntdsconn_kcc_no_reason = 0 ntdsconn_kcc_gc_topology = 1 << 0 ntdsconn_kcc_ring_topology = 1 << 1 ntdsconn_kcc_minimize_hops_topology = 1 << 2 ntdsconn_kcc_stale_servers_topology = 1 << 3 ntdsconn_kcc_oscillating_connection_topology = 1 << 4 ntdsconn_kcc_intersite_gc_topology = 1 << 5 ntdsconn_kcc_intersite_topology = 1 << 6 ntdsconn_kcc_server_failover_topology = 1 << 7 ntdsconn_kcc_site_failover_topology = 1 << 8 ntdsconn_kcc_redundant_server_topology = 1 << 9 frsconn_priority_mask = 1879048192 frsconn_max_priority = 8 ntdsconn_opt_ignore_schedule_mask = -2147483648 ntdssettings_opt_is_auto_topology_disabled = 1 << 0 ntdssettings_opt_is_topl_cleanup_disabled = 1 << 1 ntdssettings_opt_is_topl_min_hops_disabled = 1 << 2 ntdssettings_opt_is_topl_detect_stale_disabled = 1 << 3 ntdssettings_opt_is_inter_site_auto_topology_disabled = 1 << 4 ntdssettings_opt_is_group_caching_enabled = 1 << 5 ntdssettings_opt_force_kcc_whistler_behavior = 1 << 6 ntdssettings_opt_force_kcc_w2_k_election = 1 << 7 ntdssettings_opt_is_rand_bh_selection_disabled = 1 << 8 ntdssettings_opt_is_schedule_hashing_enabled = 1 << 9 ntdssettings_opt_is_redundant_server_topology_enabled = 1 << 10 ntdssettings_default_server_redundancy = 2 ntdstransport_opt_ignore_schedules = 1 << 0 ntdstransport_opt_bridges_required = 1 << 1 ntdssiteconn_opt_use_notify = 1 << 0 ntdssiteconn_opt_twoway_sync = 1 << 1 ntdssiteconn_opt_disable_compression = 1 << 2 ntdssitelink_opt_use_notify = 1 << 0 ntdssitelink_opt_twoway_sync = 1 << 1 ntdssitelink_opt_disable_compression = 1 << 2 guid_users_container_a = 'a9d1ca15768811d1aded00c04fd8d5cd' guid_computrs_container_a = 'aa312825768811d1aded00c04fd8d5cd' guid_systems_container_a = 'ab1d30f3768811d1aded00c04fd8d5cd' guid_domain_controllers_container_a = 'a361b2ffffd211d1aa4b00c04fd7d83a' guid_infrastructure_container_a = '2fbac1870ade11d297c400c04fd8d5cd' guid_deleted_objects_container_a = '18e2ea80684f11d2b9aa00c04f79f805' guid_lostandfound_container_a = 'ab8153b7768811d1aded00c04fd8d5cd' guid_foreignsecurityprincipals_container_a = '22b70c67d56e4efb91e9300fca3dc1aa' guid_program_data_container_a = '09460c08ae1e4a4ea0f64aee7daa1e5a' guid_microsoft_program_data_container_a = 'f4be92a4c777485e878e9421d53087db' guid_ntds_quotas_container_a = '6227f0af1fc2410d8e3bb10615bb5b0f' guid_users_container_byte = '©ÑÊ\x15v\x88\x11Ñ\xadí\x00ÀOØÕÍ' guid_computrs_container_byte = 'ª1(%v\x88\x11Ñ\xadí\x00ÀOØÕÍ' guid_systems_container_byte = '«\x1d0óv\x88\x11Ñ\xadí\x00ÀOØÕÍ' guid_domain_controllers_container_byte = '£a²ÿÿÒ\x11ѪK\x00ÀOר:' guid_infrastructure_container_byte = '/ºÁ\x87\nÞ\x11Ò\x97Ä\x00ÀOØÕÍ' guid_deleted_objects_container_byte = '\x18âê\x80hO\x11Ò¹ª\x00ÀOyø\x05' guid_lostandfound_container_byte = '«\x81S·v\x88\x11Ñ\xadí\x00ÀOØÕÍ' guid_foreignsecurityprincipals_container_byte = '"·\x0cgÕnNû\x91é0\x0fÊ=Áª' guid_program_data_container_byte = '\tF\x0c\x08®\x1eJN\xa0öJî}ª\x1eZ' guid_microsoft_program_data_container_byte = 'ô¾\x92¤ÇwH^\x87\x8e\x94!Õ0\x87Û' guid_ntds_quotas_container_byte = "b'ð¯\x1fÂA\r\x8e;±\x06\x15»[\x0f" ds_repsyncall_no_options = 0 ds_repsyncall_abort_if_server_unavailable = 1 ds_repsyncall_sync_adjacent_servers_only = 2 ds_repsyncall_id_servers_by_dn = 4 ds_repsyncall_do_not_sync = 8 ds_repsyncall_skip_initial_check = 16 ds_repsyncall_push_changes_outward = 32 ds_repsyncall_cross_site_boundaries = 64 ds_list_dsa_object_for_server = 0 ds_list_dns_host_name_for_server = 1 ds_list_account_object_for_server = 2 ds_role_schema_owner = 0 ds_role_domain_owner = 1 ds_role_pdc_owner = 2 ds_role_rid_owner = 3 ds_role_infrastructure_owner = 4 ds_schema_guid_not_found = 0 ds_schema_guid_attr = 1 ds_schema_guid_attr_set = 2 ds_schema_guid_class = 3 ds_schema_guid_control_right = 4 ds_kcc_flag_async_op = 1 << 0 ds_kcc_flag_damped = 1 << 1 ds_exist_advisory_mode = 1 ds_repl_info_flag_improve_linked_attrs = 1 ds_repl_nbr_writeable = 16 ds_repl_nbr_sync_on_startup = 32 ds_repl_nbr_do_scheduled_syncs = 64 ds_repl_nbr_use_async_intersite_transport = 128 ds_repl_nbr_two_way_sync = 512 ds_repl_nbr_return_object_parents = 2048 ds_repl_nbr_full_sync_in_progress = 65536 ds_repl_nbr_full_sync_next_packet = 131072 ds_repl_nbr_never_synced = 2097152 ds_repl_nbr_preempted = 16777216 ds_repl_nbr_ignore_change_notifications = 67108864 ds_repl_nbr_disable_scheduled_sync = 134217728 ds_repl_nbr_compress_changes = 268435456 ds_repl_nbr_no_change_notifications = 536870912 ds_repl_nbr_partial_attribute_set = 1073741824 ds_repl_nbr_modifiable_mask = DS_REPL_NBR_SYNC_ON_STARTUP | DS_REPL_NBR_DO_SCHEDULED_SYNCS | DS_REPL_NBR_TWO_WAY_SYNC | DS_REPL_NBR_IGNORE_CHANGE_NOTIFICATIONS | DS_REPL_NBR_DISABLE_SCHEDULED_SYNC | DS_REPL_NBR_COMPRESS_CHANGES | DS_REPL_NBR_NO_CHANGE_NOTIFICATIONS ds_unknown_name = 0 ds_fqdn_1779_name = 1 ds_nt4_account_name = 2 ds_display_name = 3 ds_unique_id_name = 6 ds_canonical_name = 7 ds_user_principal_name = 8 ds_canonical_name_ex = 9 ds_service_principal_name = 10 ds_sid_or_sid_history_name = 11 ds_dns_domain_name = 12 ds_domain_simple_name = DS_USER_PRINCIPAL_NAME ds_enterprise_simple_name = DS_USER_PRINCIPAL_NAME ds_name_no_flags = 0 ds_name_flag_syntactical_only = 1 ds_name_flag_eval_at_dc = 2 ds_name_flag_gcverify = 4 ds_name_flag_trust_referral = 8 ds_name_no_error = 0 ds_name_error_resolving = 1 ds_name_error_not_found = 2 ds_name_error_not_unique = 3 ds_name_error_no_mapping = 4 ds_name_error_domain_only = 5 ds_name_error_no_syntactical_mapping = 6 ds_name_error_trust_referral = 7 ds_spn_dns_host = 0 ds_spn_dn_host = 1 ds_spn_nb_host = 2 ds_spn_domain = 3 ds_spn_nb_domain = 4 ds_spn_service = 5 ds_spn_add_spn_op = 0 ds_spn_replace_spn_op = 1 ds_spn_delete_spn_op = 2 ds_force_rediscovery = 1 ds_directory_service_required = 16 ds_directory_service_preferred = 32 ds_gc_server_required = 64 ds_pdc_required = 128 ds_background_only = 256 ds_ip_required = 512 ds_kdc_required = 1024 ds_timeserv_required = 2048 ds_writable_required = 4096 ds_good_timeserv_preferred = 8192 ds_avoid_self = 16384 ds_only_ldap_needed = 32768 ds_is_flat_name = 65536 ds_is_dns_name = 131072 ds_return_dns_name = 1073741824 ds_return_flat_name = -2147483648 dsgetdc_valid_flags = DS_FORCE_REDISCOVERY | DS_DIRECTORY_SERVICE_REQUIRED | DS_DIRECTORY_SERVICE_PREFERRED | DS_GC_SERVER_REQUIRED | DS_PDC_REQUIRED | DS_BACKGROUND_ONLY | DS_IP_REQUIRED | DS_KDC_REQUIRED | DS_TIMESERV_REQUIRED | DS_WRITABLE_REQUIRED | DS_GOOD_TIMESERV_PREFERRED | DS_AVOID_SELF | DS_ONLY_LDAP_NEEDED | DS_IS_FLAT_NAME | DS_IS_DNS_NAME | DS_RETURN_FLAT_NAME | DS_RETURN_DNS_NAME ds_inet_address = 1 ds_netbios_address = 2 ds_pdc_flag = 1 ds_gc_flag = 4 ds_ldap_flag = 8 ds_ds_flag = 16 ds_kdc_flag = 32 ds_timeserv_flag = 64 ds_closest_flag = 128 ds_writable_flag = 256 ds_good_timeserv_flag = 512 ds_ndnc_flag = 1024 ds_ping_flags = 65535 ds_dns_controller_flag = 536870912 ds_dns_domain_flag = 1073741824 ds_dns_forest_flag = -2147483648 ds_domain_in_forest = 1 ds_domain_direct_outbound = 2 ds_domain_tree_root = 4 ds_domain_primary = 8 ds_domain_native_mode = 16 ds_domain_direct_inbound = 32 ds_domain_valid_flags = DS_DOMAIN_IN_FOREST | DS_DOMAIN_DIRECT_OUTBOUND | DS_DOMAIN_TREE_ROOT | DS_DOMAIN_PRIMARY | DS_DOMAIN_NATIVE_MODE | DS_DOMAIN_DIRECT_INBOUND ds_gfti_update_tdo = 1 ds_gfti_valid_flags = 1 ds_only_do_site_name = 1 ds_notify_after_site_records = 2 ds_open_valid_option_flags = DS_ONLY_DO_SITE_NAME | DS_NOTIFY_AFTER_SITE_RECORDS ds_open_valid_flags = DS_FORCE_REDISCOVERY | DS_ONLY_LDAP_NEEDED | DS_KDC_REQUIRED | DS_PDC_REQUIRED | DS_GC_SERVER_REQUIRED | DS_WRITABLE_REQUIRED si_edit_perms = 0 si_edit_owner = 1 si_edit_audits = 2 si_container = 4 si_readonly = 8 si_advanced = 16 si_reset = 32 si_owner_readonly = 64 si_edit_properties = 128 si_owner_recurse = 256 si_no_acl_protect = 512 si_no_tree_apply = 1024 si_page_title = 2048 si_server_is_dc = 4096 si_reset_dacl_tree = 16384 si_reset_sacl_tree = 32768 si_object_guid = 65536 si_edit_effective = 131072 si_reset_dacl = 262144 si_reset_sacl = 524288 si_reset_owner = 1048576 si_no_additional_permission = 2097152 si_may_write = 268435456 si_edit_all = SI_EDIT_PERMS | SI_EDIT_OWNER | SI_EDIT_AUDITS si_audits_elevation_required = 33554432 si_view_only = 4194304 si_owner_elevation_required = 67108864 si_perms_elevation_required = 16777216 si_access_specific = 65536 si_access_general = 131072 si_access_container = 262144 si_access_property = 524288 si_page_perm = 0 si_page_advperm = 1 si_page_audit = 2 si_page_owner = 3 si_page_effective = 4 cfstr_aclui_sid_info_list = 'CFSTR_ACLUI_SID_INFO_LIST' pspcb_si_initdialog = 1025
#Challenge 1 num = 1 while num < 11: print(num) num += 1 #Challenge 2 chosenNum = input('Enter a number: ') modifier = 1 chosenNum = int(chosenNum) for count in range(1, chosenNum, 1): chosenNum += count print (chosenNum) #Challenge 3 for count in range(1500, 2701, 1): if (count % 7 == 0 and count % 5 == 0): print (count) #Challenge 4 for count in range(1, 6, 1): for num in range (1, count, 1): print(num, end ="") print(count) #Challenge 5 num1 = input('Enter a number: ') print(len(num1)) #Looping method n=int(input("Enter a number: ")) count=0 while(n>0): count=count+1 n=n//10 print(count) #Challenge 6 rangeMin = int(input('Enter a range min: ')) rangeMax = int(input('Enter a range max: ')) def isprime(num): for n in range(2,int(num**1/2)+1): if num%n==0: return False return True for integer in range(rangeMin, rangeMax + 1, 1): if isprime(integer): print(integer)
num = 1 while num < 11: print(num) num += 1 chosen_num = input('Enter a number: ') modifier = 1 chosen_num = int(chosenNum) for count in range(1, chosenNum, 1): chosen_num += count print(chosenNum) for count in range(1500, 2701, 1): if count % 7 == 0 and count % 5 == 0: print(count) for count in range(1, 6, 1): for num in range(1, count, 1): print(num, end='') print(count) num1 = input('Enter a number: ') print(len(num1)) n = int(input('Enter a number: ')) count = 0 while n > 0: count = count + 1 n = n // 10 print(count) range_min = int(input('Enter a range min: ')) range_max = int(input('Enter a range max: ')) def isprime(num): for n in range(2, int(num ** 1 / 2) + 1): if num % n == 0: return False return True for integer in range(rangeMin, rangeMax + 1, 1): if isprime(integer): print(integer)
#! /home/nsanthony/anaconda3/bin/python num_of_primes = 10000 prime_num_count = 0 primes = [0]*num_of_primes i = 1 #starting prime while prime_num_count < num_of_primes: i += 1 divisible = 1 k = 0 while k < prime_num_count: if(i % primes[k] == 0): #modulus divisible = 0 break else: k += 1 if divisible != 0: primes[prime_num_count] = i prime_num_count += 1 print(i) #print(primes[prime_num_count-1])
num_of_primes = 10000 prime_num_count = 0 primes = [0] * num_of_primes i = 1 while prime_num_count < num_of_primes: i += 1 divisible = 1 k = 0 while k < prime_num_count: if i % primes[k] == 0: divisible = 0 break else: k += 1 if divisible != 0: primes[prime_num_count] = i prime_num_count += 1 print(i)
string = input().upper() if string.count('AUGUST')>=1: print('NOU') else: string = ''.join(reversed(string)).replace('A','S') print(string)
string = input().upper() if string.count('AUGUST') >= 1: print('NOU') else: string = ''.join(reversed(string)).replace('A', 'S') print(string)
n_odds = -1 for i in range(0, 14, 2): # Check for the value of i in each iteration breakpoint() # Bad condition if i % 1 == 0: n_odds += 0 print(n_odds)
n_odds = -1 for i in range(0, 14, 2): breakpoint() if i % 1 == 0: n_odds += 0 print(n_odds)
class PublicClass: pass class _PrivateClass: pass def public_function(): pass def _private_function(): pass
class Publicclass: pass class _Privateclass: pass def public_function(): pass def _private_function(): pass
test_image = plt.imread(os.path.join('test_images', 'test4.jpg')) undistorted_img = cv2.undistort(test_image, mtx, dist) thresh_binary = func(image) img_size = (thresh_binary.shape[1], thresh_binary.shape[0]) width, height = img_size offset = 200 src = np.float32([ [ 588, 446 ], [ 691, 446 ], [ 1126, 673 ], [ 153 , 673 ]]) dst = np.float32([[offset, 0], [img_size[0] - offset, 0], [img_size[0] - offset, img_size[1]], [offset, img_size[1]]]) M = cv2.getPerspectiveTransform(src,dst) Minv = cv2.getPerspectiveTransform(dst, src) plt.figure(figsize=(10,40)) plt.subplot(1,2,1) thresh_binary = func(image) plt.imshow(thresh_binary, cmap='gray') plt.title('Thresholded Binary') plt.subplot(1,2,2) binary_warped = cv2.warpPerspective(thresh_binary,M, (width, height)) plt.imshow(binary_warped, cmap='gray') plt.title('Binary Warped Image')
test_image = plt.imread(os.path.join('test_images', 'test4.jpg')) undistorted_img = cv2.undistort(test_image, mtx, dist) thresh_binary = func(image) img_size = (thresh_binary.shape[1], thresh_binary.shape[0]) (width, height) = img_size offset = 200 src = np.float32([[588, 446], [691, 446], [1126, 673], [153, 673]]) dst = np.float32([[offset, 0], [img_size[0] - offset, 0], [img_size[0] - offset, img_size[1]], [offset, img_size[1]]]) m = cv2.getPerspectiveTransform(src, dst) minv = cv2.getPerspectiveTransform(dst, src) plt.figure(figsize=(10, 40)) plt.subplot(1, 2, 1) thresh_binary = func(image) plt.imshow(thresh_binary, cmap='gray') plt.title('Thresholded Binary') plt.subplot(1, 2, 2) binary_warped = cv2.warpPerspective(thresh_binary, M, (width, height)) plt.imshow(binary_warped, cmap='gray') plt.title('Binary Warped Image')
age = 3 admission_fee = (0,25,40) if age < 4: print(f"Your admission fee is ${admission_fee[0]}, welcome to the park!") elif age < 18: print(f"Your admission fee is ${admission_fee[1]}, welcome to the park!") else: print(f"You're a senior so your fee is ${admission_fee[2]}, Welcome!!")
age = 3 admission_fee = (0, 25, 40) if age < 4: print(f'Your admission fee is ${admission_fee[0]}, welcome to the park!') elif age < 18: print(f'Your admission fee is ${admission_fee[1]}, welcome to the park!') else: print(f"You're a senior so your fee is ${admission_fee[2]}, Welcome!!")
# Copyright (c) 2019 Pavel Vavruska # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. class Map: def __init__(self): self.__map_base = [ [10, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14], [10, -1,000, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, 14, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, 10, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, 14, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, 11, 11, 11, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, 14, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1,000, -1, 14], [10, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14] ] self.__size_y = len(self.__map_base) self.__size_x = len(self.__map_base[0]) self.__map_effects = [[0]*self.__size_y for i in range(self.__size_x)] @property def size_x(self): return self.__size_x @property def size_y(self): return self.__size_y @property def data(self): return self.__map_base def get_at(self, x, y): return self.__map_base[y][x] def set_at(self, x, y, number): self.data[y][x] = number def get_effect_at(self, x, y): return self.__map_effects[y][x] def set_effect_at(self, x, y, number): self.__map_effects[y][x] = number @property def effect_data(self): return self.__map_effects
class Map: def __init__(self): self.__map_base = [[10, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14], [10, -1, 0, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, 14, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, 10, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, 14, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, 11, 11, 11, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, 14, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, 0, -1, 14], [10, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14]] self.__size_y = len(self.__map_base) self.__size_x = len(self.__map_base[0]) self.__map_effects = [[0] * self.__size_y for i in range(self.__size_x)] @property def size_x(self): return self.__size_x @property def size_y(self): return self.__size_y @property def data(self): return self.__map_base def get_at(self, x, y): return self.__map_base[y][x] def set_at(self, x, y, number): self.data[y][x] = number def get_effect_at(self, x, y): return self.__map_effects[y][x] def set_effect_at(self, x, y, number): self.__map_effects[y][x] = number @property def effect_data(self): return self.__map_effects
dict={11:"th", 12:"th", 13:"th", 1:"st", 2:"nd", 3:"rd"} def what_century(year): year=str(year) century=int(year[:2])+1 if year[-2:]!="00" else int(year[:2]) if century in dict: return f"{century}{dict[century]}" elif century%10 in dict: return f"{century}{dict[century%10]}" return f"{century}th"
dict = {11: 'th', 12: 'th', 13: 'th', 1: 'st', 2: 'nd', 3: 'rd'} def what_century(year): year = str(year) century = int(year[:2]) + 1 if year[-2:] != '00' else int(year[:2]) if century in dict: return f'{century}{dict[century]}' elif century % 10 in dict: return f'{century}{dict[century % 10]}' return f'{century}th'
class Solution: def judgeCircle(self, moves: str) -> bool: h_pos = 0 v_pos = 0 for move in moves: if move == 'U': v_pos += 1 elif move == 'D': v_pos -= 1 elif move == 'L': h_pos -= 1 elif move == 'R': h_pos += 1 if h_pos == 0 and v_pos == 0: return True return False
class Solution: def judge_circle(self, moves: str) -> bool: h_pos = 0 v_pos = 0 for move in moves: if move == 'U': v_pos += 1 elif move == 'D': v_pos -= 1 elif move == 'L': h_pos -= 1 elif move == 'R': h_pos += 1 if h_pos == 0 and v_pos == 0: return True return False
morning = {'Java', 'C', 'Ruby', 'Lisp', 'C#'} afternoon = {'Python', 'C#', 'Java', 'C', 'Ruby'} print(morning ^ afternoon) print(morning.symmetric_difference(afternoon))
morning = {'Java', 'C', 'Ruby', 'Lisp', 'C#'} afternoon = {'Python', 'C#', 'Java', 'C', 'Ruby'} print(morning ^ afternoon) print(morning.symmetric_difference(afternoon))
# https://www.hackerrank.com/challenges/equal-stacks def equal_stacks(stacks): stacks_size = [sum(stack) for stack in stacks] while len(set(stacks_size)) > 1: higher = stacks_size.index(max(stacks_size)) poped = stacks[higher].pop(0) stacks_size[higher] -= poped return stacks_size[0] n1, n2, n3 = map(int, input().strip().split(' ')) s1 = [int(x) for x in input().strip().split(' ')] s2 = [int(x) for x in input().strip().split(' ')] s3 = [int(x) for x in input().strip().split(' ')] print(equal_stacks([s1, s2, s3]))
def equal_stacks(stacks): stacks_size = [sum(stack) for stack in stacks] while len(set(stacks_size)) > 1: higher = stacks_size.index(max(stacks_size)) poped = stacks[higher].pop(0) stacks_size[higher] -= poped return stacks_size[0] (n1, n2, n3) = map(int, input().strip().split(' ')) s1 = [int(x) for x in input().strip().split(' ')] s2 = [int(x) for x in input().strip().split(' ')] s3 = [int(x) for x in input().strip().split(' ')] print(equal_stacks([s1, s2, s3]))
#!/usr/env/bin python3 # #----------------------------------------------------------------------- # # Mathematical and physical constants. # #----------------------------------------------------------------------- # # Pi. pi_geom = 3.14159265358979323846264338327 # Degrees per radian. degs_per_radian = 360.0 / (2.0 * pi_geom) # Radius of the Earth in meters. radius_Earth = 6371200.0 # #----------------------------------------------------------------------- # # Other. # #----------------------------------------------------------------------- # valid_vals_BOOLEAN = [True, False]
pi_geom = 3.141592653589793 degs_per_radian = 360.0 / (2.0 * pi_geom) radius__earth = 6371200.0 valid_vals_boolean = [True, False]
x = 1 for i in range (0, 5): y = 7 for j in range (0, 3): print(f"I={x} J={y}") y -= 1 x += 2
x = 1 for i in range(0, 5): y = 7 for j in range(0, 3): print(f'I={x} J={y}') y -= 1 x += 2
n = int(input("enter a no: ")) for i in range (n*10, n-1 ,-n): print(i)
n = int(input('enter a no: ')) for i in range(n * 10, n - 1, -n): print(i)
class Solution: def minRemoveToMakeValid(self, s: str) -> str: stack = [] bad = set() for index, c in enumerate(s): if c == "(": stack.append(index) elif c == ")": if len(stack) > 0: stack.pop() else: bad.add(index) for leftover in stack: bad.add(leftover) return "".join(c for index, c in enumerate(s) if index not in bad)
class Solution: def min_remove_to_make_valid(self, s: str) -> str: stack = [] bad = set() for (index, c) in enumerate(s): if c == '(': stack.append(index) elif c == ')': if len(stack) > 0: stack.pop() else: bad.add(index) for leftover in stack: bad.add(leftover) return ''.join((c for (index, c) in enumerate(s) if index not in bad))
# # Copyright (C) 2018 The Android Open Source Project # # 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. # layout = BoolScalar("layout", False) # NHWC # TEST 1: DEPTHWISE_CONV2D_NCHW, pad = 0, stride = 1, cm = 2, act = none i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0., 0., 0., .25, .1, 0., 0.]) b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) o1 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") Model().Operation("DEPTHWISE_CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o1) # Additional data type quant8 = DataTypeConverter().Identify({ i1: ("TENSOR_QUANT8_ASYMM", 0.5, 0), f1: ("TENSOR_QUANT8_ASYMM", 0.01, 0), b1: ("TENSOR_INT32", 0.005, 0), o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0) }) channelQuant8 = DataTypeConverter().Identify({ i1: ("TENSOR_QUANT8_ASYMM", 0.5, 0), f1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.01, 0.005, 0.01, 0.005])), b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.005, 0.0025, 0.005, 0.0025], hide=True)), o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0) }) channelQuant8_mult_gt_1 = DataTypeConverter().Identify({ i1: ("TENSOR_QUANT8_ASYMM", 0.5, 0), f1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.01, 0.005, 0.01, 0.005])), b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.005, 0.0025, 0.005, 0.0025], hide=True)), o1: ("TENSOR_QUANT8_ASYMM", 0.0001, 0) }) # Instantiate an example example = Example({ i1: [10, 21, 10, 22, 10, 23, 10, 24, 10, 25, 10, 26, 10, 27, 10, 28, 10, 29], o1: [11, 3, 7.2, 10.6, 11, 3, 7.4, 10.9, 11, 3, 7.8, 11.5, 11, 3, 8.0, 11.8] }).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", "float16", channelQuant8, channelQuant8_mult_gt_1, quant8) # TEST 2: DEPTHWISE_CONV2D_NCHW_2, pad = valid, stride = 1, cm = 2, act = none i2 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 2, 2}") f2 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [1, 2, 3, 4, -9, 10, -11, 12, 5, 6, 7, 8, 13, -14, 15, -16]) b2 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) o2 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 1, 4}") Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 2, 1, 1, 2, 0, layout).To(o2) # Additional data type quant8 = DataTypeConverter().Identify({ i2: ("TENSOR_QUANT8_ASYMM", 0.5, 128), f2: ("TENSOR_QUANT8_ASYMM", 0.5, 128), b2: ("TENSOR_INT32", 0.25, 0), o2: ("TENSOR_QUANT8_ASYMM", 1.0, 100) }) channelQuant8 = DataTypeConverter().Identify({ i2: ("TENSOR_QUANT8_ASYMM", 0.5, 128), f2: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.5, 0.25, 0.5, 0.25])), b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25, 0.125, 0.25, 0.125], hide=True)), o2: ("TENSOR_QUANT8_ASYMM", 1.0, 100) }) # Instantiate an example example = Example({ i2: [1, 2, 7, 8, 3, 4, 9, 10, 5, 6, 11, 12], o2: [71, -34, 99, -20, 91, -26, 127, -4] }).AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", "float16", quant8, channelQuant8) # TEST 3: DEPTHWISE_CONV2D_NCHW_LARGE, pad = 0, stride = 1, cm = 1, act = none i3 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}") f3 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}", [.25, 0, .25, 1, .25, 0, .25, 1]) b3 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [100, 200]) o3 = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 2}") Model("large").Operation("DEPTHWISE_CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 1, 0, layout).To(o3) # Additional data type quant8 = DataTypeConverter().Identify({ i3: ("TENSOR_QUANT8_ASYMM", 0.5, 100), f3: ("TENSOR_QUANT8_ASYMM", 0.125, 128), b3: ("TENSOR_INT32", 0.0625, 0), o3: ("TENSOR_QUANT8_ASYMM", 2.0, 128) }) channelQuant8 = DataTypeConverter().Identify({ i3: ("TENSOR_QUANT8_ASYMM", 0.5, 128), f3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.125, 0.25])), b3: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.0625, 0.125], hide=True)), o3: ("TENSOR_QUANT8_ASYMM", 2.0, 128) }) # Instantiate an example example = Example({ i3: [10, 21, 10, 22, 10, 23, 10, 24], o3: [110, 246] }).AddNchw(i3, o3, layout).AddInput(f3, b3).AddVariations("relaxed", "float16", quant8, channelQuant8) # TEST 4: DEPTHWISE_CONV2D_NCHW_LARGE, pad = 0, stride = 1, cm = 1, act = none i4 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 4}") f4 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0, 10, 50, .25, 1, 20, 50, .25, 0, 30, 50, .25, 1, 40, 50]) b4 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [6000, 7000, 8000, 9000]) o4 = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 4}") Model("large").Operation("DEPTHWISE_CONV_2D", i4, f4, b4, 0, 0, 0, 0, 1, 1, 1, 0, layout).To(o4) # Additional data type quant8 = DataTypeConverter().Identify({ i4: ("TENSOR_QUANT8_ASYMM", 0.5, 128), f4: ("TENSOR_QUANT8_ASYMM", 0.25, 0), b4: ("TENSOR_INT32", 0.125, 0), o4: ("TENSOR_QUANT8_ASYMM", 50.0, 0) }) channelQuant8 = DataTypeConverter().Identify({ i4: ("TENSOR_QUANT8_ASYMM", 0.5, 128), f4: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[1.0, 2.0, 1.0, 1.0])), b4: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 1.0, 0.5, 0.5], hide=True)), o4: ("TENSOR_QUANT8_ASYMM", 50.0, 0) }) # Instantiate an example example = Example({ i4: [10, 21, 10, 0, 10, 22, 20, 0, 10, 23, 30, 0, 10, 24, 40, 0], o4: [6010, 7046, 11000, 9000] }).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations("relaxed", "float16", quant8, channelQuant8) # TEST 9: quantized with scale product greater than output scale input_scale = 256.5 / 255 input_zero_point = 127 filter_scale = 256.5 / 255 filter_zero_point = 128 i9 = Input("op1", ("TENSOR_QUANT8_ASYMM", [1, 3, 2, 2], input_scale, input_zero_point)) f9 = Parameter( "op2", ("TENSOR_QUANT8_ASYMM", [1, 2, 2, 4], filter_scale, filter_zero_point), [ 129, 130, 131, 132, 119, 138, 117, 140, 133, 134, 135, 136, 141, 114, 143, 112 ]) b9 = Parameter("op3", ("TENSOR_INT32", [4], input_scale * filter_scale, 0), [2, 4, 6, 8]) o9 = Output("op4", ("TENSOR_QUANT8_ASYMM", [1, 2, 1, 4], 1.0, 127)) model9 = Model("quant_output_multiplier_gt_1").Operation("DEPTHWISE_CONV_2D", i9, f9, b9, 2, 1, 1, 2, 0).To(o9) # Instantiate an example example = Example({ i9: [129, 131, 141, 143, 133, 135, 145, 147, 137, 139, 149, 151], o9: [255, 58, 255, 87, 255, 74, 255, 119] }, model=model9).AddInput(f9, b9).AddVariations("relaxed")
layout = bool_scalar('layout', False) i1 = input('op1', 'TENSOR_FLOAT32', '{1, 3, 3, 2}') f1 = parameter('op2', 'TENSOR_FLOAT32', '{1, 2, 2, 4}', [0.25, 0.0, 0.2, 0.0, 0.25, 0.0, 0.0, 0.3, 0.25, 0.0, 0.0, 0.0, 0.25, 0.1, 0.0, 0.0]) b1 = parameter('op3', 'TENSOR_FLOAT32', '{4}', [1, 2, 3, 4]) o1 = output('op4', 'TENSOR_FLOAT32', '{1, 2, 2, 4}') model().Operation('DEPTHWISE_CONV_2D', i1, f1, b1, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o1) quant8 = data_type_converter().Identify({i1: ('TENSOR_QUANT8_ASYMM', 0.5, 0), f1: ('TENSOR_QUANT8_ASYMM', 0.01, 0), b1: ('TENSOR_INT32', 0.005, 0), o1: ('TENSOR_QUANT8_ASYMM', 0.1, 0)}) channel_quant8 = data_type_converter().Identify({i1: ('TENSOR_QUANT8_ASYMM', 0.5, 0), f1: ('TENSOR_QUANT8_SYMM_PER_CHANNEL', 0, 0, symm_per_channel_quant_params(channelDim=3, scales=[0.01, 0.005, 0.01, 0.005])), b1: ('TENSOR_INT32', 0.0, 0, symm_per_channel_quant_params(channelDim=0, scales=[0.005, 0.0025, 0.005, 0.0025], hide=True)), o1: ('TENSOR_QUANT8_ASYMM', 0.1, 0)}) channel_quant8_mult_gt_1 = data_type_converter().Identify({i1: ('TENSOR_QUANT8_ASYMM', 0.5, 0), f1: ('TENSOR_QUANT8_SYMM_PER_CHANNEL', 0, 0, symm_per_channel_quant_params(channelDim=3, scales=[0.01, 0.005, 0.01, 0.005])), b1: ('TENSOR_INT32', 0.0, 0, symm_per_channel_quant_params(channelDim=0, scales=[0.005, 0.0025, 0.005, 0.0025], hide=True)), o1: ('TENSOR_QUANT8_ASYMM', 0.0001, 0)}) example = example({i1: [10, 21, 10, 22, 10, 23, 10, 24, 10, 25, 10, 26, 10, 27, 10, 28, 10, 29], o1: [11, 3, 7.2, 10.6, 11, 3, 7.4, 10.9, 11, 3, 7.8, 11.5, 11, 3, 8.0, 11.8]}).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations('relaxed', 'float16', channelQuant8, channelQuant8_mult_gt_1, quant8) i2 = input('op1', 'TENSOR_FLOAT32', '{1, 3, 2, 2}') f2 = parameter('op2', 'TENSOR_FLOAT32', '{1, 2, 2, 4}', [1, 2, 3, 4, -9, 10, -11, 12, 5, 6, 7, 8, 13, -14, 15, -16]) b2 = parameter('op3', 'TENSOR_FLOAT32', '{4}', [1, 2, 3, 4]) o2 = output('op4', 'TENSOR_FLOAT32', '{1, 2, 1, 4}') model().Operation('DEPTHWISE_CONV_2D', i2, f2, b2, 2, 1, 1, 2, 0, layout).To(o2) quant8 = data_type_converter().Identify({i2: ('TENSOR_QUANT8_ASYMM', 0.5, 128), f2: ('TENSOR_QUANT8_ASYMM', 0.5, 128), b2: ('TENSOR_INT32', 0.25, 0), o2: ('TENSOR_QUANT8_ASYMM', 1.0, 100)}) channel_quant8 = data_type_converter().Identify({i2: ('TENSOR_QUANT8_ASYMM', 0.5, 128), f2: ('TENSOR_QUANT8_SYMM_PER_CHANNEL', 0, 0, symm_per_channel_quant_params(channelDim=3, scales=[0.5, 0.25, 0.5, 0.25])), b2: ('TENSOR_INT32', 0.0, 0, symm_per_channel_quant_params(channelDim=0, scales=[0.25, 0.125, 0.25, 0.125], hide=True)), o2: ('TENSOR_QUANT8_ASYMM', 1.0, 100)}) example = example({i2: [1, 2, 7, 8, 3, 4, 9, 10, 5, 6, 11, 12], o2: [71, -34, 99, -20, 91, -26, 127, -4]}).AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations('relaxed', 'float16', quant8, channelQuant8) i3 = input('op1', 'TENSOR_FLOAT32', '{1, 2, 2, 2}') f3 = parameter('op2', 'TENSOR_FLOAT32', '{1, 2, 2, 2}', [0.25, 0, 0.25, 1, 0.25, 0, 0.25, 1]) b3 = parameter('op3', 'TENSOR_FLOAT32', '{2}', [100, 200]) o3 = output('op4', 'TENSOR_FLOAT32', '{1, 1, 1, 2}') model('large').Operation('DEPTHWISE_CONV_2D', i3, f3, b3, 0, 0, 0, 0, 1, 1, 1, 0, layout).To(o3) quant8 = data_type_converter().Identify({i3: ('TENSOR_QUANT8_ASYMM', 0.5, 100), f3: ('TENSOR_QUANT8_ASYMM', 0.125, 128), b3: ('TENSOR_INT32', 0.0625, 0), o3: ('TENSOR_QUANT8_ASYMM', 2.0, 128)}) channel_quant8 = data_type_converter().Identify({i3: ('TENSOR_QUANT8_ASYMM', 0.5, 128), f3: ('TENSOR_QUANT8_SYMM_PER_CHANNEL', 0, 0, symm_per_channel_quant_params(channelDim=3, scales=[0.125, 0.25])), b3: ('TENSOR_INT32', 0.0, 0, symm_per_channel_quant_params(channelDim=0, scales=[0.0625, 0.125], hide=True)), o3: ('TENSOR_QUANT8_ASYMM', 2.0, 128)}) example = example({i3: [10, 21, 10, 22, 10, 23, 10, 24], o3: [110, 246]}).AddNchw(i3, o3, layout).AddInput(f3, b3).AddVariations('relaxed', 'float16', quant8, channelQuant8) i4 = input('op1', 'TENSOR_FLOAT32', '{1, 2, 2, 4}') f4 = parameter('op2', 'TENSOR_FLOAT32', '{1, 2, 2, 4}', [0.25, 0, 10, 50, 0.25, 1, 20, 50, 0.25, 0, 30, 50, 0.25, 1, 40, 50]) b4 = parameter('op3', 'TENSOR_FLOAT32', '{4}', [6000, 7000, 8000, 9000]) o4 = output('op4', 'TENSOR_FLOAT32', '{1, 1, 1, 4}') model('large').Operation('DEPTHWISE_CONV_2D', i4, f4, b4, 0, 0, 0, 0, 1, 1, 1, 0, layout).To(o4) quant8 = data_type_converter().Identify({i4: ('TENSOR_QUANT8_ASYMM', 0.5, 128), f4: ('TENSOR_QUANT8_ASYMM', 0.25, 0), b4: ('TENSOR_INT32', 0.125, 0), o4: ('TENSOR_QUANT8_ASYMM', 50.0, 0)}) channel_quant8 = data_type_converter().Identify({i4: ('TENSOR_QUANT8_ASYMM', 0.5, 128), f4: ('TENSOR_QUANT8_SYMM_PER_CHANNEL', 0, 0, symm_per_channel_quant_params(channelDim=3, scales=[1.0, 2.0, 1.0, 1.0])), b4: ('TENSOR_INT32', 0.0, 0, symm_per_channel_quant_params(channelDim=0, scales=[0.5, 1.0, 0.5, 0.5], hide=True)), o4: ('TENSOR_QUANT8_ASYMM', 50.0, 0)}) example = example({i4: [10, 21, 10, 0, 10, 22, 20, 0, 10, 23, 30, 0, 10, 24, 40, 0], o4: [6010, 7046, 11000, 9000]}).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations('relaxed', 'float16', quant8, channelQuant8) input_scale = 256.5 / 255 input_zero_point = 127 filter_scale = 256.5 / 255 filter_zero_point = 128 i9 = input('op1', ('TENSOR_QUANT8_ASYMM', [1, 3, 2, 2], input_scale, input_zero_point)) f9 = parameter('op2', ('TENSOR_QUANT8_ASYMM', [1, 2, 2, 4], filter_scale, filter_zero_point), [129, 130, 131, 132, 119, 138, 117, 140, 133, 134, 135, 136, 141, 114, 143, 112]) b9 = parameter('op3', ('TENSOR_INT32', [4], input_scale * filter_scale, 0), [2, 4, 6, 8]) o9 = output('op4', ('TENSOR_QUANT8_ASYMM', [1, 2, 1, 4], 1.0, 127)) model9 = model('quant_output_multiplier_gt_1').Operation('DEPTHWISE_CONV_2D', i9, f9, b9, 2, 1, 1, 2, 0).To(o9) example = example({i9: [129, 131, 141, 143, 133, 135, 145, 147, 137, 139, 149, 151], o9: [255, 58, 255, 87, 255, 74, 255, 119]}, model=model9).AddInput(f9, b9).AddVariations('relaxed')
class Arrival: def __init__(self, time_from_stop, dist_from_stop): self.time_from_stop = time_from_stop self.dist_from_stop = dist_from_stop def __repr__(self): return f'''{self.__class__.__name__}( {self.time_from_stop!r}, {self.dist_from_stop!r})''' def __str__(self): return ( f'{self.dist_from_stop} and arrives in {self.get_minutes()} ' f'minutes and {self.get_seconds()} seconds' ) def get_minutes(self): return self.time_from_stop[0] def get_seconds(self): return self.time_from_stop[1] class BusRoute: def __init__(self, bus_route_name, bus_stop): self.name = bus_route_name self.monitored_stop = bus_stop self.bus_arrivals = [] def add_bus_arrival(self, time, distance): self.bus_arrivals.append(Arrival(time, distance)) def get_short_bus_route_name(self, long_route_name): return long_route_name[long_route_name.rfind('_')+1:] def __repr__(self): return f'''{self.__class__.__name__}( {self.name!r}, {self.monitored_stop!r}, {self.bus_arrivals!r})''' def __str__(self): bus_str = ( f'For the {self.get_short_bus_route_name(self.name)} bus ' f'at the {self.monitored_stop} stop, ' ) if len(self.bus_arrivals) == 0: bus_str += f'there are no buses available at this time!' for index, arrival in enumerate(self.bus_arrivals): bus_str += f'{self.ordinal(index + 1)} bus is {arrival}, ' # excluding trailing characters return bus_str[:-2] def ordinal(self, num): return BusRoute.ordinal_dict.get(num, "next") ordinal_dict = { 1 : "first", 2 : "second", 3 : "third" }
class Arrival: def __init__(self, time_from_stop, dist_from_stop): self.time_from_stop = time_from_stop self.dist_from_stop = dist_from_stop def __repr__(self): return f'{self.__class__.__name__}(\n {self.time_from_stop!r}, {self.dist_from_stop!r})' def __str__(self): return f'{self.dist_from_stop} and arrives in {self.get_minutes()} minutes and {self.get_seconds()} seconds' def get_minutes(self): return self.time_from_stop[0] def get_seconds(self): return self.time_from_stop[1] class Busroute: def __init__(self, bus_route_name, bus_stop): self.name = bus_route_name self.monitored_stop = bus_stop self.bus_arrivals = [] def add_bus_arrival(self, time, distance): self.bus_arrivals.append(arrival(time, distance)) def get_short_bus_route_name(self, long_route_name): return long_route_name[long_route_name.rfind('_') + 1:] def __repr__(self): return f'{self.__class__.__name__}(\n {self.name!r}, {self.monitored_stop!r}, {self.bus_arrivals!r})' def __str__(self): bus_str = f'For the {self.get_short_bus_route_name(self.name)} bus at the {self.monitored_stop} stop, ' if len(self.bus_arrivals) == 0: bus_str += f'there are no buses available at this time!' for (index, arrival) in enumerate(self.bus_arrivals): bus_str += f'{self.ordinal(index + 1)} bus is {arrival}, ' return bus_str[:-2] def ordinal(self, num): return BusRoute.ordinal_dict.get(num, 'next') ordinal_dict = {1: 'first', 2: 'second', 3: 'third'}
ES_HOST = 'localhost:9200' ES_INDEX = 'pending-cord_cell' ES_DOC_TYPE = 'cell' API_PREFIX = 'cord_cell' API_VERSION = ''
es_host = 'localhost:9200' es_index = 'pending-cord_cell' es_doc_type = 'cell' api_prefix = 'cord_cell' api_version = ''
num1 = 11 num2 = 22 num3 = 33 num4 = 44 num5 = 55 num6 = 66 num7 = 77 num8 = 88 num10 = 100 numm11 = 111
num1 = 11 num2 = 22 num3 = 33 num4 = 44 num5 = 55 num6 = 66 num7 = 77 num8 = 88 num10 = 100 numm11 = 111
class Instrumentable (object): def __init__(self): self.instrumentation = [] def add_instrumentation(self, ins): self.instrumentation.append(ins) def get_context(self): return [] def initialize_instrumentation(self): for i in self.instrumentation: i.initialize(self) def run_instrumentation(self): for i in self.instrumentation: i.run(self) def end_instrumentation(self): for i in self.instrumentation: i.end(self)
class Instrumentable(object): def __init__(self): self.instrumentation = [] def add_instrumentation(self, ins): self.instrumentation.append(ins) def get_context(self): return [] def initialize_instrumentation(self): for i in self.instrumentation: i.initialize(self) def run_instrumentation(self): for i in self.instrumentation: i.run(self) def end_instrumentation(self): for i in self.instrumentation: i.end(self)
model = dict( type='FasterRCNN', pretrained='open-mmlab://msra/hrnetv2_w32', backbone=dict( type='HRNet', extra=dict( stage1=dict( num_modules=1, num_branches=1, block='BOTTLENECK', num_blocks=(4, ), num_channels=(64, )), stage2=dict( num_modules=1, num_branches=2, block='BASIC', num_blocks=(4, 4), num_channels=(32, 64)), stage3=dict( num_modules=4, num_branches=3, block='BASIC', num_blocks=(4, 4, 4), num_channels=(32, 64, 128)), stage4=dict( num_modules=3, num_branches=4, block='BASIC', num_blocks=(4, 4, 4, 4), num_channels=(32, 64, 128, 256)))), neck=dict(type='HRFPN', in_channels=[32, 64, 128, 256], out_channels=256), rpn_head=dict( type='RPNHead', in_channels=256, feat_channels=256, anchor_generator=dict( type='AnchorGenerator', scales=[1.0, 2.0, 12.0], ratios=[0.05, 0.3, 0.73, 2.5], strides=[4, 8, 16, 16, 16]), bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[1.0, 1.0, 1.0, 1.0]), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), roi_head=dict( type='StandardRoIHead', bbox_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', out_size=7, sample_num=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), bbox_head=dict( type='Shared2FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=136, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.1, 0.1, 0.2, 0.2]), reg_class_agnostic=False, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), train_cfg=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, match_low_quality=False, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), pos_weight=-1, debug=False), test_cfg=dict( score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=2000))) train_cfg = dict( rpn=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.3, min_pos_iou=0.3, match_low_quality=True, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=256, pos_fraction=0.5, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=-1, pos_weight=-1, debug=False), rpn_proposal=dict( nms_across_levels=False, nms_pre=3000, nms_post=2000, max_num=2000, nms_thr=0.7, min_bbox_size=0), rcnn=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, match_low_quality=False, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), pos_weight=-1, debug=False)) test_cfg = dict( rpn=dict( nms_across_levels=False, nms_pre=3000, nms_post=2000, max_num=2000, nms_thr=0.7, min_bbox_size=0), rcnn=dict( score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=2000)) dataset_type = 'DeepScoresV2Dataset' data_root = 'data/ds2_dense/' img_norm_cfg = dict(mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False) data = dict( imgs_per_gpu=1, workers_per_gpu=1, train=dict( type='DeepScoresV2Dataset', ann_file='data/ds2_dense/deepscores_train.json', img_prefix='data/ds2_dense/images/', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict(type='RandomCrop', crop_size=(1400, 1400)), dict(type='Resize', img_scale=(700, 700), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.0), dict( type='Normalize', mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ]), val=dict( type='DeepScoresV2Dataset', ann_file='data/ds2_dense/deepscores_test.json', img_prefix='data/ds2_dense/images/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1400, 1900), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.0), dict( type='Normalize', mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='DeepScoresV2Dataset', ann_file='data/ds2_dense/deepscores_test.json', img_prefix='data/ds2_dense/images/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1400, 1900), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.0), dict( type='Normalize', mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(interval=1000, metric='bbox') optimizer = dict(type='SGD', lr=0.001, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None) lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[8, 11], gamma=0.5) total_epochs = 5000 checkpoint_config = dict(interval=10) log_config = dict( interval=100, hooks=[dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook')]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] work_dir = './work_dirs/DSv2_faster_rcnn_hrnetv2p_w32' gpu_ids = range(0, 1) seed = None
model = dict(type='FasterRCNN', pretrained='open-mmlab://msra/hrnetv2_w32', backbone=dict(type='HRNet', extra=dict(stage1=dict(num_modules=1, num_branches=1, block='BOTTLENECK', num_blocks=(4,), num_channels=(64,)), stage2=dict(num_modules=1, num_branches=2, block='BASIC', num_blocks=(4, 4), num_channels=(32, 64)), stage3=dict(num_modules=4, num_branches=3, block='BASIC', num_blocks=(4, 4, 4), num_channels=(32, 64, 128)), stage4=dict(num_modules=3, num_branches=4, block='BASIC', num_blocks=(4, 4, 4, 4), num_channels=(32, 64, 128, 256)))), neck=dict(type='HRFPN', in_channels=[32, 64, 128, 256], out_channels=256), rpn_head=dict(type='RPNHead', in_channels=256, feat_channels=256, anchor_generator=dict(type='AnchorGenerator', scales=[1.0, 2.0, 12.0], ratios=[0.05, 0.3, 0.73, 2.5], strides=[4, 8, 16, 16, 16]), bbox_coder=dict(type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[1.0, 1.0, 1.0, 1.0]), loss_cls=dict(type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), roi_head=dict(type='StandardRoIHead', bbox_roi_extractor=dict(type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', out_size=7, sample_num=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), bbox_head=dict(type='Shared2FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=136, bbox_coder=dict(type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.1, 0.1, 0.2, 0.2]), reg_class_agnostic=False, loss_cls=dict(type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), train_cfg=dict(assigner=dict(type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, match_low_quality=False, ignore_iof_thr=-1), sampler=dict(type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), pos_weight=-1, debug=False), test_cfg=dict(score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=2000))) train_cfg = dict(rpn=dict(assigner=dict(type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.3, min_pos_iou=0.3, match_low_quality=True, ignore_iof_thr=-1), sampler=dict(type='RandomSampler', num=256, pos_fraction=0.5, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=-1, pos_weight=-1, debug=False), rpn_proposal=dict(nms_across_levels=False, nms_pre=3000, nms_post=2000, max_num=2000, nms_thr=0.7, min_bbox_size=0), rcnn=dict(assigner=dict(type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, match_low_quality=False, ignore_iof_thr=-1), sampler=dict(type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), pos_weight=-1, debug=False)) test_cfg = dict(rpn=dict(nms_across_levels=False, nms_pre=3000, nms_post=2000, max_num=2000, nms_thr=0.7, min_bbox_size=0), rcnn=dict(score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=2000)) dataset_type = 'DeepScoresV2Dataset' data_root = 'data/ds2_dense/' img_norm_cfg = dict(mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False) data = dict(imgs_per_gpu=1, workers_per_gpu=1, train=dict(type='DeepScoresV2Dataset', ann_file='data/ds2_dense/deepscores_train.json', img_prefix='data/ds2_dense/images/', pipeline=[dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict(type='RandomCrop', crop_size=(1400, 1400)), dict(type='Resize', img_scale=(700, 700), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.0), dict(type='Normalize', mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])]), val=dict(type='DeepScoresV2Dataset', ann_file='data/ds2_dense/deepscores_test.json', img_prefix='data/ds2_dense/images/', pipeline=[dict(type='LoadImageFromFile'), dict(type='MultiScaleFlipAug', img_scale=(1400, 1900), flip=False, transforms=[dict(type='Resize', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.0), dict(type='Normalize', mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])]), test=dict(type='DeepScoresV2Dataset', ann_file='data/ds2_dense/deepscores_test.json', img_prefix='data/ds2_dense/images/', pipeline=[dict(type='LoadImageFromFile'), dict(type='MultiScaleFlipAug', img_scale=(1400, 1900), flip=False, transforms=[dict(type='Resize', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.0), dict(type='Normalize', mean=[240, 240, 240], std=[57, 57, 57], to_rgb=False), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])])) evaluation = dict(interval=1000, metric='bbox') optimizer = dict(type='SGD', lr=0.001, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None) lr_config = dict(policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[8, 11], gamma=0.5) total_epochs = 5000 checkpoint_config = dict(interval=10) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook')]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] work_dir = './work_dirs/DSv2_faster_rcnn_hrnetv2p_w32' gpu_ids = range(0, 1) seed = None
# Create by Zwlin parts = ['Is', 'Chicago', 'Not', 'Chicago?'] print(' '.join(parts)) data = ['ACME', 50, 91.1] print(','.join(str(d) for d in data)) print('a','b','c',sep=":") def sample(): yield 'Is' yield 'Chicago' yield 'Not' yield 'Chicago?' print(' '.join(sample())) def combine(source,maxsize): parts = [] size = 0 for part in source: parts.append(part) size+=len(part) if size>maxsize: yield ''.join(parts) parts = [] size = 0 yield ''.join(parts) for part in combine(sample(),2): print(part)
parts = ['Is', 'Chicago', 'Not', 'Chicago?'] print(' '.join(parts)) data = ['ACME', 50, 91.1] print(','.join((str(d) for d in data))) print('a', 'b', 'c', sep=':') def sample(): yield 'Is' yield 'Chicago' yield 'Not' yield 'Chicago?' print(' '.join(sample())) def combine(source, maxsize): parts = [] size = 0 for part in source: parts.append(part) size += len(part) if size > maxsize: yield ''.join(parts) parts = [] size = 0 yield ''.join(parts) for part in combine(sample(), 2): print(part)
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0.7432914907370645, 0.13018676467746992, 0.5223142443725408, 0.7195189279531476, 0.772640792421348, 0.14327621964512316, 0.6878829043185156, 0.055148280727183474, 0.8676040054543029, 0.48642135136869813, 0.30302851629800986, 0.9228633066490742, 0.667418229322695, 0.4777650552484912, 0.31537473096370805, 0.7700808697761502, 0.7960825672157771, 0.07249937731173295, 0.29899721239280774, 0.22179935581659127, 0.22273872676775142, 0.8764042515281045, 0.4366391448529726, 0.5478426436326207, 0.8314815849605053, 0.7549992548812183, 0.10936866387806565, 0.00910480845136652, 0.8084386256361511, 0.8166844640961154, 0.7313462564948571, 0.9959804810391605, 0.379523919185773, 0.6995967653492718, 0.8556104883245215, 0.9650033347051147, 0.18733000156715507, 0.4266888620654947, 0.07133812296022024], [0.7875953823075772, 0.048326692977263, 0.6878467941077652, 0.7531952401170053, 0.1558136040327478, 0.24307431692944004, 0.36153377164447553, 0.5487397481159532, 0.2755151330503123, 0.9266893099869177, 0.14615611701269082, 0.3560843408398615, 0.436443462902138, 0.7102764507205671, 0.18129364036624473, 0.38322340811115996, 0.15569544999933282, 0.15621497631267722, 0.55678174104075, 0.3401026392668376, 0.679928790269094, 0.08653086603130078, 0.6006734337150899, 0.9215754829197332, 0.3043813432254693, 0.5622410331187045, 0.09614694997099149, 0.4764624730311171, 0.7345611971372603, 0.5108499127618724, 0.654746711987487, 0.5557444311516856, 0.6852308206138262, 0.6543865122015662, 0.629658940606578, 0.044031977277485757, 0.7088084836606233, 0.06107386886067778, 0.04794948328013904, 0.0012119198186545388], [0.9873189624796332, 0.27669438975668836, 0.2966661605787152, 0.4139209966023878, 0.7497354718500084, 0.7542696882524106, 0.00047323287009148896, 0.28730378667067424, 0.7002811162039493, 0.8911910805889037, 0.7721344980447392, 0.47105119592884437, 0.373075838742169, 0.6032608233856785, 0.2139192273308207, 0.9319543355860133, 0.7269956643405344, 0.4034038337286081, 0.2585252420078713, 0.30834958635077747, 0.7334934229247756, 0.3310362628624629, 0.3757338129837905, 0.5376537254283258, 0.10018251675931056, 0.5596408768846562, 0.5148348651496074, 0.21777504252094781, 0.7054121319095489, 0.5984424196600101, 0.7603507020760363, 0.6434851532447466, 0.7793360816630102, 0.6791377750819247, 0.8874939483155643, 0.020297431321990134, 0.7877588152594723, 0.6825344779265455, 0.441631266772038, 0.7799358378043548], [0.14948070809461733, 0.6977752887489436, 0.5634986541181175, 0.38736488579116424, 0.1796681809180415, 0.18478666703628643, 0.9620236762440904, 0.4964269350799757, 0.6930587049586162, 0.708399807879856, 0.5134398465585625, 0.21393537446142608, 0.2602216489930229, 0.6837769252814112, 0.48595998832884835, 0.7237548539290024, 0.5536057526377521, 0.9142678952472156, 0.6407298133232981, 0.584126792744114, 0.4820710811205783, 0.3504942970905538, 0.6883168343596142, 0.8462933225924858, 0.4180247400964584, 0.5665180278641676, 0.8897732971718966, 0.8364818856148337, 0.7265938868603569, 0.5112350504417468, 0.03991181239209585, 0.072054980230297, 0.29923288318823416, 0.26160244227878526, 0.7902954979262191, 0.6789474159144181, 0.05402719615844953, 0.01288405023914263, 0.9858435071632456, 0.49550313163016246], [0.6814128052540557, 0.6857591462474116, 0.17342028359449235, 0.05198456664141582, 0.09253968414262181, 0.6361262726691442, 0.6310776794858192, 0.8264686540690918, 0.15536853521783067, 0.11365547163341394, 0.8741173383962068, 0.6431090470198938, 0.34886604214094474, 0.5841128943565191, 0.1306826318025598, 0.4755713452380752, 0.8934737037194166, 0.14880757216831608, 0.34448841790338536, 0.5426574181929463, 0.45282331001343046, 0.34496344066027285, 0.8355456308073075, 0.6467171865039304, 0.9828190934106459, 0.25020939133138687, 0.17359383174806498, 0.6414283048549022, 0.47943336037935724, 0.7910623150001057, 0.0836370290846139, 0.6806298932145972, 0.6162814930918981, 0.04744051039144781, 0.8151539617310978, 0.3762036323742327, 0.7318338145244138, 0.19441096162641314, 0.9256087655217963, 0.7843727099817441]] bot1_bias_layer_two = [0.9406758857641467, 0.2126300180227927, 0.331421320987095, 0.6544606649999443, 0.2590151001820765, 0.08833035527361466, 0.4011952057788569, 0.44027479425504645, 0.42029806024477445, 0.5533297661090261, 0.3002221256295219, 0.7862574899592699, 0.3823932166902484, 0.06760529143192306, 0.8904817529085136, 0.2574363071108112, 0.9442652930673417, 0.8638464662536666, 0.9976792804834141, 0.08161112639543766, 0.8274457390637798, 0.06122431173779852, 0.30150861649483907, 0.9149791640899687, 0.6020251233163026, 0.39163356768437085, 0.3071120702029102, 0.9926591632450795, 0.308554239450762, 0.05802603153354935, 0.8493015772384627, 0.9817798648175765, 0.8871207805059099, 0.5548975481126734, 0.3695821803629423, 0.11344073506325347, 0.6326004241760085, 0.18922738053612775, 0.8335478543097846, 0.873969649479351] bot1_wieght_layer_three = [0.7706324920831208, 0.4063910281084029, 0.2674792952177699, 0.43250967613182023, 0.612819122412578, 0.5903832494962349, 0.32915418215488546, 0.7434764512130551, 0.3377554418516807, 0.04299585439686038, 0.7203935879359235, 0.10166762979556576, 0.32301210307652384, 0.1252640719699869, 0.7500335966851666, 0.7566998032956905, 0.7678225469600396, 0.10952170159380425, 0.9805573962843176, 0.5779722827213246, 0.5908026476984574, 0.8924849290572959, 0.17075043196157114, 0.12926979033332275, 0.9819466259288311, 0.32978141701528274, 0.9651996134918539, 0.8438254105458438, 0.5511668691700664, 0.08296071500756907, 0.31100584604157344, 0.7878835121381841, 0.8410458785821329, 0.8566297235828838, 0.5073891786969, 0.7462087871999677, 0.8550172205512508, 0.15640742681071018, 0.19677970287277002, 0.5522731191600392] bot1_bias_layer_three = [0.6469845616746536, 0.8286284260749673, 0.6801201252488618, 0.17433357165597319, 0.18834517979902088, 0.7638133663899956, 0.19825026476233243, 0.5542303268791007] bot1_fitness = 61.10234434690874 bot1_num = 1
# Copyright (c) 2018, WSO2 Inc. (http://wso2.com) All Rights Reserved. # # 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. NS = {'d': 'http://maven.apache.org/POM/4.0.0'} ZIP_FILE_EXTENSION = ".zip" CARBON_NAME = "carbon.zip" WSO2SERVER = "bin/wso2server" VALUE_TAG = "{http://maven.apache.org/POM/4.0.0}value" SURFACE_PLUGIN_ARTIFACT_ID = "maven-surefire-plugin" PRODUCT_STORAGE_DIR_NAME = "storage" DEPLOYMENT_PROPERTY_FILE_NAME = "deployment.properties" LOG_FILE_NAME = "integration.log" ORACLE_DB_ENGINE = "ORACLE-SE2" MSSQL_DB_ENGINE = "SQLSERVER-SE" MYSQL_DB_ENGINE = "MYSQL" DEFAULT_ORACLE_SID = "orcl" DEFAULT_DB_USERNAME = "wso2carbon" LOG_STORAGE = "logs" TEST_OUTPUT_DIR_NAME = "surefire-reports"
ns = {'d': 'http://maven.apache.org/POM/4.0.0'} zip_file_extension = '.zip' carbon_name = 'carbon.zip' wso2_server = 'bin/wso2server' value_tag = '{http://maven.apache.org/POM/4.0.0}value' surface_plugin_artifact_id = 'maven-surefire-plugin' product_storage_dir_name = 'storage' deployment_property_file_name = 'deployment.properties' log_file_name = 'integration.log' oracle_db_engine = 'ORACLE-SE2' mssql_db_engine = 'SQLSERVER-SE' mysql_db_engine = 'MYSQL' default_oracle_sid = 'orcl' default_db_username = 'wso2carbon' log_storage = 'logs' test_output_dir_name = 'surefire-reports'
class A: def __init__(self): self.l=[1,2,3,4,5,6,7,8,9] def __getitem__(self,i): if isinstance(i,int): return self.l[i] else: print(i.start,i.stop,i.step) return self.l[i] a=A() #for i in a.l: # print(i,end='\t') print(a[4]) print(a[:]) print(a[2:]) print(a[:5]) print(a[3:8]) print(a[::2]) print(a[:4:3]) print(a[4::3]) print(a[2:9:2]) ''' output: 5 None None None [1, 2, 3, 4, 5, 6, 7, 8, 9] 2 None None [3, 4, 5, 6, 7, 8, 9] None 5 None [1, 2, 3, 4, 5] 3 8 None [4, 5, 6, 7, 8] None None 2 [1, 3, 5, 7, 9] None 4 3 [1, 4] 4 None 3 [5, 8] 2 9 2 [3, 5, 7, 9] '''
class A: def __init__(self): self.l = [1, 2, 3, 4, 5, 6, 7, 8, 9] def __getitem__(self, i): if isinstance(i, int): return self.l[i] else: print(i.start, i.stop, i.step) return self.l[i] a = a() print(a[4]) print(a[:]) print(a[2:]) print(a[:5]) print(a[3:8]) print(a[::2]) print(a[:4:3]) print(a[4::3]) print(a[2:9:2]) '\noutput:\n5\nNone None None\n[1, 2, 3, 4, 5, 6, 7, 8, 9]\n2 None None\n[3, 4, 5, 6, 7, 8, 9]\nNone 5 None\n[1, 2, 3, 4, 5]\n3 8 None\n[4, 5, 6, 7, 8]\nNone None 2\n[1, 3, 5, 7, 9]\nNone 4 3\n[1, 4]\n4 None 3\n[5, 8]\n2 9 2\n[3, 5, 7, 9]\n'
NAME = 'diary.py' ORIGINAL_AUTHORS = [ 'Angelo Giacco' ] ABOUT = ''' Keeps a record of your diary ''' COMMANDS = ''' >>>.diary record <diary entry> Adds to that day's diary entry >>>.diary show <date> Will show the diary entry of specified date (can also accept "today", "yesterday") >>>.diary delete Will delete today's entry >>>.diary help Gives help about how to use the plugin ''' WEBSITE = ''
name = 'diary.py' original_authors = ['Angelo Giacco'] about = '\nKeeps a record of your diary\n' commands = '\n>>>.diary record <diary entry>\nAdds to that day\'s diary entry\n\n>>>.diary show <date>\nWill show the diary entry of specified date (can also accept "today", "yesterday")\n\n>>>.diary delete\nWill delete today\'s entry\n\n>>>.diary help\nGives help about how to use the plugin\n' website = ''
# # PySNMP MIB module DLINK-3100-SOCKET-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DLINK-3100-SOCKET-MIB # Produced by pysmi-0.3.4 at Wed May 1 12:49:02 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") ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint, SingleValueConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueRangeConstraint", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsUnion") rnd, = mibBuilder.importSymbols("DLINK-3100-MIB", "rnd") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") IpAddress, Bits, Counter32, NotificationType, ObjectIdentity, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, Unsigned32, ModuleIdentity, MibIdentifier, Gauge32, Counter64, iso, Integer32 = mibBuilder.importSymbols("SNMPv2-SMI", "IpAddress", "Bits", "Counter32", "NotificationType", "ObjectIdentity", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Unsigned32", "ModuleIdentity", "MibIdentifier", "Gauge32", "Counter64", "iso", "Integer32") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") rlSocket = ModuleIdentity((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85)) rlSocket.setRevisions(('2007-01-02 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: rlSocket.setRevisionsDescriptions(('Initial revision.',)) if mibBuilder.loadTexts: rlSocket.setLastUpdated('200701020000Z') if mibBuilder.loadTexts: rlSocket.setOrganization('Dlink, Inc. Dlink Semiconductor, Inc.') if mibBuilder.loadTexts: rlSocket.setContactInfo('www.dlink.com') if mibBuilder.loadTexts: rlSocket.setDescription('This private MIB module defines socket private MIBs.') rlSocketMibVersion = MibScalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: rlSocketMibVersion.setStatus('current') if mibBuilder.loadTexts: rlSocketMibVersion.setDescription("MIB's version, the current version is 1.") rlSocketTable = MibTable((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2), ) if mibBuilder.loadTexts: rlSocketTable.setStatus('current') if mibBuilder.loadTexts: rlSocketTable.setDescription('The (conceptual) table listing the sockets which are currently open in the system.') rlSocketEntry = MibTableRow((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1), ).setIndexNames((0, "DLINK-3100-SOCKET-MIB", "rlSocketId")) if mibBuilder.loadTexts: rlSocketEntry.setStatus('current') if mibBuilder.loadTexts: rlSocketEntry.setDescription('An entry (conceptual row) in the SocketTable.') rlSocketId = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: rlSocketId.setStatus('current') if mibBuilder.loadTexts: rlSocketId.setDescription('The value of the id of the socket. ') rlSocketType = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("stream", 1), ("dgram", 2), ("raw", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: rlSocketType.setStatus('current') if mibBuilder.loadTexts: rlSocketType.setDescription('Specifies the type of the socket. ') rlSocketState = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("connected", 1), ("notConnected", 2), ("recvClosed", 3), ("sendClosed", 4), ("closed", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: rlSocketState.setStatus('current') if mibBuilder.loadTexts: rlSocketState.setDescription('Specifies the state in which the socket is in. ') rlSocketBlockMode = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("blocking", 1), ("nonBlocking", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: rlSocketBlockMode.setStatus('current') if mibBuilder.loadTexts: rlSocketBlockMode.setDescription('Specifies the blocking mode of the socket. ') rlSocketUpTime = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 5), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: rlSocketUpTime.setStatus('current') if mibBuilder.loadTexts: rlSocketUpTime.setDescription('The time elapsed since this socket was created.') mibBuilder.exportSymbols("DLINK-3100-SOCKET-MIB", PYSNMP_MODULE_ID=rlSocket, rlSocketMibVersion=rlSocketMibVersion, rlSocket=rlSocket, rlSocketId=rlSocketId, rlSocketBlockMode=rlSocketBlockMode, rlSocketState=rlSocketState, rlSocketEntry=rlSocketEntry, rlSocketUpTime=rlSocketUpTime, rlSocketTable=rlSocketTable, rlSocketType=rlSocketType)
(object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_intersection, value_range_constraint, value_size_constraint, single_value_constraint, constraints_union) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ValueRangeConstraint', 'ValueSizeConstraint', 'SingleValueConstraint', 'ConstraintsUnion') (rnd,) = mibBuilder.importSymbols('DLINK-3100-MIB', 'rnd') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (ip_address, bits, counter32, notification_type, object_identity, time_ticks, mib_scalar, mib_table, mib_table_row, mib_table_column, unsigned32, module_identity, mib_identifier, gauge32, counter64, iso, integer32) = mibBuilder.importSymbols('SNMPv2-SMI', 'IpAddress', 'Bits', 'Counter32', 'NotificationType', 'ObjectIdentity', 'TimeTicks', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Unsigned32', 'ModuleIdentity', 'MibIdentifier', 'Gauge32', 'Counter64', 'iso', 'Integer32') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') rl_socket = module_identity((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85)) rlSocket.setRevisions(('2007-01-02 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: rlSocket.setRevisionsDescriptions(('Initial revision.',)) if mibBuilder.loadTexts: rlSocket.setLastUpdated('200701020000Z') if mibBuilder.loadTexts: rlSocket.setOrganization('Dlink, Inc. Dlink Semiconductor, Inc.') if mibBuilder.loadTexts: rlSocket.setContactInfo('www.dlink.com') if mibBuilder.loadTexts: rlSocket.setDescription('This private MIB module defines socket private MIBs.') rl_socket_mib_version = mib_scalar((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: rlSocketMibVersion.setStatus('current') if mibBuilder.loadTexts: rlSocketMibVersion.setDescription("MIB's version, the current version is 1.") rl_socket_table = mib_table((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2)) if mibBuilder.loadTexts: rlSocketTable.setStatus('current') if mibBuilder.loadTexts: rlSocketTable.setDescription('The (conceptual) table listing the sockets which are currently open in the system.') rl_socket_entry = mib_table_row((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1)).setIndexNames((0, 'DLINK-3100-SOCKET-MIB', 'rlSocketId')) if mibBuilder.loadTexts: rlSocketEntry.setStatus('current') if mibBuilder.loadTexts: rlSocketEntry.setDescription('An entry (conceptual row) in the SocketTable.') rl_socket_id = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: rlSocketId.setStatus('current') if mibBuilder.loadTexts: rlSocketId.setDescription('The value of the id of the socket. ') rl_socket_type = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('stream', 1), ('dgram', 2), ('raw', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: rlSocketType.setStatus('current') if mibBuilder.loadTexts: rlSocketType.setDescription('Specifies the type of the socket. ') rl_socket_state = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('connected', 1), ('notConnected', 2), ('recvClosed', 3), ('sendClosed', 4), ('closed', 5)))).setMaxAccess('readonly') if mibBuilder.loadTexts: rlSocketState.setStatus('current') if mibBuilder.loadTexts: rlSocketState.setDescription('Specifies the state in which the socket is in. ') rl_socket_block_mode = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('blocking', 1), ('nonBlocking', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: rlSocketBlockMode.setStatus('current') if mibBuilder.loadTexts: rlSocketBlockMode.setDescription('Specifies the blocking mode of the socket. ') rl_socket_up_time = mib_table_column((1, 3, 6, 1, 4, 1, 171, 10, 94, 89, 89, 85, 2, 1, 5), time_ticks()).setMaxAccess('readonly') if mibBuilder.loadTexts: rlSocketUpTime.setStatus('current') if mibBuilder.loadTexts: rlSocketUpTime.setDescription('The time elapsed since this socket was created.') mibBuilder.exportSymbols('DLINK-3100-SOCKET-MIB', PYSNMP_MODULE_ID=rlSocket, rlSocketMibVersion=rlSocketMibVersion, rlSocket=rlSocket, rlSocketId=rlSocketId, rlSocketBlockMode=rlSocketBlockMode, rlSocketState=rlSocketState, rlSocketEntry=rlSocketEntry, rlSocketUpTime=rlSocketUpTime, rlSocketTable=rlSocketTable, rlSocketType=rlSocketType)
class DirectedEdge: def __init__(self, v, w, weight): self.v = v self.w = w self.weight = weight def from_v(self): return self.v def to_v(self): return self.w def get_weight(self): return self.weight def compare_to(self, that): return self.get_weight() - that.get_weight() def __str__(self): return f'{self.from_v()} -- {self.weight} --> {self.to_v()}' def test_directed_graph(): print(DirectedEdge(3, 7, 10.7)) if __name__ == '__main__': test_directed_graph()
class Directededge: def __init__(self, v, w, weight): self.v = v self.w = w self.weight = weight def from_v(self): return self.v def to_v(self): return self.w def get_weight(self): return self.weight def compare_to(self, that): return self.get_weight() - that.get_weight() def __str__(self): return f'{self.from_v()} -- {self.weight} --> {self.to_v()}' def test_directed_graph(): print(directed_edge(3, 7, 10.7)) if __name__ == '__main__': test_directed_graph()
#!/usr/bin/env python # -*- coding: utf-8 -*- #--------------------------------------------------------------------------------- # # ,--. # | |-. ,---. ,---. ,--.--.,--,--, # | .-. '| .-. :| .-. || .--'| \ # | `-' |\ --.' '-' '| | | || | # `---' `----' `---' `--' `--''--' # # file: version # desc: This file contains the versions of the library. # # author: Peter Antoine # date: 23/05/2015 #--------------------------------------------------------------------------------- # Copyright (c) 2015 Peter Antoine # All rights Reserved. # Released Under the MIT Licence #--------------------------------------------------------------------------------- #--------------------------------------------------------------------------------- # Python Standard Header #--------------------------------------------------------------------------------- __author__ = "Peter Antoine" __copyright__ = "Copyright 2014-2021, Peter Antoine" __credits__ = ["Peter Antoine"] __license__ = "MIT" __version__ = "1.5.0" __maintainer__ = "Peter Antoine" __email__ = "github@peterantoine.me.uk" __url__ = "https://github.com/PAntoine/BeornLib" __status__ = "Development" # vim: ts=4 sw=4 noexpandtab nocin ai
__author__ = 'Peter Antoine' __copyright__ = 'Copyright 2014-2021, Peter Antoine' __credits__ = ['Peter Antoine'] __license__ = 'MIT' __version__ = '1.5.0' __maintainer__ = 'Peter Antoine' __email__ = 'github@peterantoine.me.uk' __url__ = 'https://github.com/PAntoine/BeornLib' __status__ = 'Development'
# Ali # Adobis's Mission I: The Room of Tragedy # not sure what function this room has but it has no portals sm.sendNext("Why are you here? You shouldn't be here..") sm.warp(211000000) # warps to El Nath
sm.sendNext("Why are you here? You shouldn't be here..") sm.warp(211000000)
# Input boss = {'h': 58, 'd': 9} play = {'h': 50, 'm': 500} spell = [ {'m': 53, 'd': 4, 'a': 0, 't': 1, 'h': 0}, {'m': 73, 'd': 2, 'a': 0, 't': 1, 'h': 2}, {'m': 113, 'd': 0, 'a': 7, 't': 6, 'h': 0}, {'m': 173, 'd': 3, 'a': 0, 't': 6, 'h': 0}, {'m': 229, 'd': 0, 'a': 0, 't': 5, 'h': 101} ]
boss = {'h': 58, 'd': 9} play = {'h': 50, 'm': 500} spell = [{'m': 53, 'd': 4, 'a': 0, 't': 1, 'h': 0}, {'m': 73, 'd': 2, 'a': 0, 't': 1, 'h': 2}, {'m': 113, 'd': 0, 'a': 7, 't': 6, 'h': 0}, {'m': 173, 'd': 3, 'a': 0, 't': 6, 'h': 0}, {'m': 229, 'd': 0, 'a': 0, 't': 5, 'h': 101}]
def permutations(s): if len(s) == 1: return [s] result = [] for char in s: tail_list = permutations(s.replace(char, '')) mapped = list(map(lambda x : char + x, tail_list)) result += mapped return result if __name__ == '__main__': print(permutations('abc'))
def permutations(s): if len(s) == 1: return [s] result = [] for char in s: tail_list = permutations(s.replace(char, '')) mapped = list(map(lambda x: char + x, tail_list)) result += mapped return result if __name__ == '__main__': print(permutations('abc'))
load("@bazel_skylib//rules:common_settings.bzl", "BuildSettingInfo") load("//dotnet/private:copy_files.bzl", "copy_files") load( "//dotnet:selenium-dotnet-version.bzl", "SUPPORTED_NET_FRAMEWORKS", "SUPPORTED_NET_STANDARD_VERSIONS", ) def _nuget_push_impl(ctx): args = [ "push", ] apikey = ctx.attr.api_key[BuildSettingInfo].value package_to_publish = ctx.attr.src.files.to_list()[0].path output_file = ctx.actions.declare_file("done.txt") args.append(ctx.expand_location(ctx.attr.src.files.to_list()[0].path)) args.append("-Source") args.append(ctx.attr.package_repository_url) args.append("-SkipDuplicate") args.append("-ApiKey") args.append(apikey) args.append("> {}".format(output_file.path)) ctx.actions.run( executable = ctx.executable.nuget_exe, progress_message = "Publishing {}".format(package_to_publish), arguments = args, inputs = ctx.attr.src.files.to_list() + ctx.files.deps, outputs = [output_file], ) return DefaultInfo(files = depset([ output_file, ])) nuget_push = rule( implementation = _nuget_push_impl, attrs = { "src": attr.label( allow_single_file = True, ), "deps": attr.label_list(), "package_repository_url": attr.string( default = "https://nuget.org", ), "api_key": attr.label(default = ":nuget-api-key"), "nuget_exe": attr.label( executable = True, cfg = "host", default = Label("//third_party/dotnet/nuget:nuget.exe"), allow_single_file = True, ), }, ) def _get_relative_destination_file(src_file): src_file_dirs = src_file.dirname.split("/") framework_dir = src_file_dirs[-1] for src_file_dir in reversed(src_file_dirs): if src_file_dir in SUPPORTED_NET_FRAMEWORKS or src_file_dir in SUPPORTED_NET_STANDARD_VERSIONS: framework_dir = src_file_dir break return "{}/{}".format(framework_dir, src_file.basename) def _stage_files_for_packaging(ctx, staging_dir): src_list = [] for dep in ctx.attr.deps: src_file = dep.files.to_list()[0] relative_dest_file = _get_relative_destination_file(src_file) src_list.append((src_file, relative_dest_file)) if (ctx.attr.create_symbol_package): symbol_file = dep.default_runfiles.files.to_list()[0] relative_dest_symbol_file =_get_relative_destination_file(symbol_file) src_list.append((symbol_file, relative_dest_symbol_file)) return copy_files(ctx, src_list, staging_dir, ctx.attr.is_windows) def _nuget_package_impl(ctx): args = [ "pack", ] package_id = ctx.attr.package_id package_version = ctx.attr.package_version package_file = ctx.actions.declare_file("{}.{}.nupkg".format(package_id, package_version)) output_path = ctx.expand_location(package_file.dirname) output_files = [package_file] if (ctx.attr.create_symbol_package): symbol_file = ctx.actions.declare_file("{}.{}.snupkg".format(package_id, package_version)) output_files.append(symbol_file) # The dependencies are assembly output compiled into directories # with the appropriate target framework moniker ("<base>/net45", # "<base>/net46", etc.). The base path for creating the NuGet # package should be the "<base>" directory, which we need to # hard-code with the parent operator, because Bazel doesn't # provide proper path traversal for custom rules. base_path = ctx.files.deps[0].dirname + "/.." packaging_file_list = _stage_files_for_packaging(ctx, ctx.label.name) base_path = packaging_file_list[0].dirname + "/.." args.append(ctx.expand_location(ctx.attr.src.files.to_list()[0].path)) args.append("-Properties") args.append("packageid={}".format(package_id)) args.append("-Version") args.append(package_version) args.append("-BasePath") args.append(base_path) if (ctx.attr.create_symbol_package): args.append("-Symbols") args.append("-SymbolPackageFormat") args.append("snupkg") args.append("-OutputDirectory") args.append(output_path) ctx.actions.run( executable = ctx.executable.nuget_exe, progress_message = "Packaging {}".format(package_file.path), arguments = args, inputs = ctx.attr.src.files.to_list() + ctx.files.deps, outputs = output_files, ) return DefaultInfo(files = depset(output_files), runfiles = ctx.runfiles(files = packaging_file_list)) nuget_package = rule( implementation = _nuget_package_impl, attrs = { "src": attr.label( allow_single_file = True, ), "deps": attr.label_list(), "package_id": attr.string(), "package_version": attr.string(), "create_symbol_package": attr.bool(default = False), "is_windows": attr.bool(default = False), "nuget_exe": attr.label( executable = True, cfg = "host", default = Label("//third_party/dotnet/nuget:nuget.exe"), allow_single_file = True, ), }, )
load('@bazel_skylib//rules:common_settings.bzl', 'BuildSettingInfo') load('//dotnet/private:copy_files.bzl', 'copy_files') load('//dotnet:selenium-dotnet-version.bzl', 'SUPPORTED_NET_FRAMEWORKS', 'SUPPORTED_NET_STANDARD_VERSIONS') def _nuget_push_impl(ctx): args = ['push'] apikey = ctx.attr.api_key[BuildSettingInfo].value package_to_publish = ctx.attr.src.files.to_list()[0].path output_file = ctx.actions.declare_file('done.txt') args.append(ctx.expand_location(ctx.attr.src.files.to_list()[0].path)) args.append('-Source') args.append(ctx.attr.package_repository_url) args.append('-SkipDuplicate') args.append('-ApiKey') args.append(apikey) args.append('> {}'.format(output_file.path)) ctx.actions.run(executable=ctx.executable.nuget_exe, progress_message='Publishing {}'.format(package_to_publish), arguments=args, inputs=ctx.attr.src.files.to_list() + ctx.files.deps, outputs=[output_file]) return default_info(files=depset([output_file])) nuget_push = rule(implementation=_nuget_push_impl, attrs={'src': attr.label(allow_single_file=True), 'deps': attr.label_list(), 'package_repository_url': attr.string(default='https://nuget.org'), 'api_key': attr.label(default=':nuget-api-key'), 'nuget_exe': attr.label(executable=True, cfg='host', default=label('//third_party/dotnet/nuget:nuget.exe'), allow_single_file=True)}) def _get_relative_destination_file(src_file): src_file_dirs = src_file.dirname.split('/') framework_dir = src_file_dirs[-1] for src_file_dir in reversed(src_file_dirs): if src_file_dir in SUPPORTED_NET_FRAMEWORKS or src_file_dir in SUPPORTED_NET_STANDARD_VERSIONS: framework_dir = src_file_dir break return '{}/{}'.format(framework_dir, src_file.basename) def _stage_files_for_packaging(ctx, staging_dir): src_list = [] for dep in ctx.attr.deps: src_file = dep.files.to_list()[0] relative_dest_file = _get_relative_destination_file(src_file) src_list.append((src_file, relative_dest_file)) if ctx.attr.create_symbol_package: symbol_file = dep.default_runfiles.files.to_list()[0] relative_dest_symbol_file = _get_relative_destination_file(symbol_file) src_list.append((symbol_file, relative_dest_symbol_file)) return copy_files(ctx, src_list, staging_dir, ctx.attr.is_windows) def _nuget_package_impl(ctx): args = ['pack'] package_id = ctx.attr.package_id package_version = ctx.attr.package_version package_file = ctx.actions.declare_file('{}.{}.nupkg'.format(package_id, package_version)) output_path = ctx.expand_location(package_file.dirname) output_files = [package_file] if ctx.attr.create_symbol_package: symbol_file = ctx.actions.declare_file('{}.{}.snupkg'.format(package_id, package_version)) output_files.append(symbol_file) base_path = ctx.files.deps[0].dirname + '/..' packaging_file_list = _stage_files_for_packaging(ctx, ctx.label.name) base_path = packaging_file_list[0].dirname + '/..' args.append(ctx.expand_location(ctx.attr.src.files.to_list()[0].path)) args.append('-Properties') args.append('packageid={}'.format(package_id)) args.append('-Version') args.append(package_version) args.append('-BasePath') args.append(base_path) if ctx.attr.create_symbol_package: args.append('-Symbols') args.append('-SymbolPackageFormat') args.append('snupkg') args.append('-OutputDirectory') args.append(output_path) ctx.actions.run(executable=ctx.executable.nuget_exe, progress_message='Packaging {}'.format(package_file.path), arguments=args, inputs=ctx.attr.src.files.to_list() + ctx.files.deps, outputs=output_files) return default_info(files=depset(output_files), runfiles=ctx.runfiles(files=packaging_file_list)) nuget_package = rule(implementation=_nuget_package_impl, attrs={'src': attr.label(allow_single_file=True), 'deps': attr.label_list(), 'package_id': attr.string(), 'package_version': attr.string(), 'create_symbol_package': attr.bool(default=False), 'is_windows': attr.bool(default=False), 'nuget_exe': attr.label(executable=True, cfg='host', default=label('//third_party/dotnet/nuget:nuget.exe'), allow_single_file=True)})
# Copyright 2011 Google Inc. All Rights Reserved. # # 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. # # Author: jasonstredwick@google.com (Jason Stredwick) # # Common build definitions for packages within BITE's client code base. subinclude('//javascript/externs/builddefs:BUILD'); subinclude('//javascript/closure/builddefs:BUILD'); DEBUG_COMPILER_DEFS = CLOSURE_COMPILER_FLAGS_UNOBFUSCATED + [ '--generate_exports', ] OPTIMIZED_COMPILER_DEFS = CLOSURE_COMPILER_FLAGS_STRICT + [ '--generate_exports', ] COMPILER_DEFS = DEBUG_COMPILER_DEFS + [ '--aggressive_var_check_level=ERROR', '--check_global_names_level=ERROR', '--check_provides=ERROR', '--jscomp_error=accessControls', '--jscomp_error=checkRegExp', '--jscomp_error=checkTypes', '--jscomp_error=checkVars', '--jscomp_error=deprecated', '--jscomp_error=fileoverviewTags', '--jscomp_error=invalidCasts', '--jscomp_error=missingProperties', '--jscomp_error=nonStandardJsDocs', '--jscomp_error=strictModuleDepCheck', '--jscomp_error=undefinedVars', '--jscomp_error=unknownDefines', '--jscomp_error=visibility', '--strict', ] CSS_COMPILER_DEFS = [ '--add_copyright', '--allow_unrecognized_functions', '--allowed_non_standard_function=color-stop', '--allowed_non_standard_pseudo_type=nth-child', '--allowed_non_standard_function=-moz-linear-gradient', '--allowed_non_standard_function=-webkit-gradient', '--allowed_non_standard_function=from', '--allowed_non_standard_function=to', '--allowed_non_standard_function=alpha', '--allow_ie_function_syntax', '--allow_unrecognized_pseudo_types', '--simplify_css', '--eliminate_dead_styles', ]
subinclude('//javascript/externs/builddefs:BUILD') subinclude('//javascript/closure/builddefs:BUILD') debug_compiler_defs = CLOSURE_COMPILER_FLAGS_UNOBFUSCATED + ['--generate_exports'] optimized_compiler_defs = CLOSURE_COMPILER_FLAGS_STRICT + ['--generate_exports'] compiler_defs = DEBUG_COMPILER_DEFS + ['--aggressive_var_check_level=ERROR', '--check_global_names_level=ERROR', '--check_provides=ERROR', '--jscomp_error=accessControls', '--jscomp_error=checkRegExp', '--jscomp_error=checkTypes', '--jscomp_error=checkVars', '--jscomp_error=deprecated', '--jscomp_error=fileoverviewTags', '--jscomp_error=invalidCasts', '--jscomp_error=missingProperties', '--jscomp_error=nonStandardJsDocs', '--jscomp_error=strictModuleDepCheck', '--jscomp_error=undefinedVars', '--jscomp_error=unknownDefines', '--jscomp_error=visibility', '--strict'] css_compiler_defs = ['--add_copyright', '--allow_unrecognized_functions', '--allowed_non_standard_function=color-stop', '--allowed_non_standard_pseudo_type=nth-child', '--allowed_non_standard_function=-moz-linear-gradient', '--allowed_non_standard_function=-webkit-gradient', '--allowed_non_standard_function=from', '--allowed_non_standard_function=to', '--allowed_non_standard_function=alpha', '--allow_ie_function_syntax', '--allow_unrecognized_pseudo_types', '--simplify_css', '--eliminate_dead_styles']
def get_conclusion_page_number(doc): for i in reversed(range(doc.pageCount)): page = doc.loadPage(i) text = page.getText() text_lowered = text.lower() if 'conclusion' in text_lowered: return i else: # Page before the last page which is usually the Printing Specifications Statement # This would be difference if the brief was an appellants brief. return doc.pageCount - 1
def get_conclusion_page_number(doc): for i in reversed(range(doc.pageCount)): page = doc.loadPage(i) text = page.getText() text_lowered = text.lower() if 'conclusion' in text_lowered: return i else: return doc.pageCount - 1
''' Created on Feb 26, 2014 @author: efarhan ''' physics_events = [] def add_physics_event(event): global physics_events physics_events.append(event) def get_physics_event(): global physics_events return physics_events def clear_physics_event(): global physics_events del physics_events[:] class PhysicsEvent: def __init__(self,a,b,begin): self.a=a self.b=b self.begin=begin
""" Created on Feb 26, 2014 @author: efarhan """ physics_events = [] def add_physics_event(event): global physics_events physics_events.append(event) def get_physics_event(): global physics_events return physics_events def clear_physics_event(): global physics_events del physics_events[:] class Physicsevent: def __init__(self, a, b, begin): self.a = a self.b = b self.begin = begin
def sum(a): if a <= 1: return 1 else: return a+sum(a-1) print(sum(5))
def sum(a): if a <= 1: return 1 else: return a + sum(a - 1) print(sum(5))
# class Solution: # ## with division # def productExceptSelf(self, nums: List[int]) -> List[int]: # N = len(nums) # # traverse the list # ## 1st pass, get the total product # total_prod = 1 # zero_counter = 0 # for num in nums: # if zero_counter>1: # return [0 for i in range(N)] # if num==0: # zero_counter += 1 # else: # total_prod = total_prod*num # ## 2nd pass, generate the output # if zero_counter==0: # return [total_prod//num for num in nums] # elif zero_counter>1: # return [0 for i in range(N)] # else: # return [0 if num!=0 else total_prod for num in nums] class Solution: ## without division def productExceptSelf(self, nums: List[int]) -> List[int]: N = len(nums) # 1st pass get the left side prod output = [] zero_counter = 0 for idx in range(N): if nums[idx]==0: zero_counter += 1 if zero_counter>1: return [0 for i in range(N)] if idx==0: output.append(1) else: output.append(nums[idx-1]*output[-1]) # 2nd pass get the right side prod rprod = 1 for idx in range(N-1,-1,-1): if idx<N-1: rprod = rprod*nums[idx+1] output[idx] = output[idx]*rprod return output
class Solution: def product_except_self(self, nums: List[int]) -> List[int]: n = len(nums) output = [] zero_counter = 0 for idx in range(N): if nums[idx] == 0: zero_counter += 1 if zero_counter > 1: return [0 for i in range(N)] if idx == 0: output.append(1) else: output.append(nums[idx - 1] * output[-1]) rprod = 1 for idx in range(N - 1, -1, -1): if idx < N - 1: rprod = rprod * nums[idx + 1] output[idx] = output[idx] * rprod return output
#!/usr/bin/env python3 def read_list_from_file(file_name): f = open(file_name) list = [] dict={} for x in f: list.append(x.strip()) f.close() i=0 while i< len(list): dict[list[i]] = list[i+1] i=i+2 return dict def is_verified(vin, password) -> bool: dict = read_list_from_file("vin_pass.txt") #print(dict) ans=False if(dict.get(vin)== password): ans=True else: ans=False return(ans)
def read_list_from_file(file_name): f = open(file_name) list = [] dict = {} for x in f: list.append(x.strip()) f.close() i = 0 while i < len(list): dict[list[i]] = list[i + 1] i = i + 2 return dict def is_verified(vin, password) -> bool: dict = read_list_from_file('vin_pass.txt') ans = False if dict.get(vin) == password: ans = True else: ans = False return ans
class StringHash: def __init__(self, text, base=997, mod=10 ** 18 + 3): n = len(text) self.text = text self.base = base self.mod = mod self.power = [1] * (n + 2) self.prefix_hash = [0] * (n + 2) for i in range(1, n + 1): self.power[i] = self.power[i - 1] * self.base % self.mod self.prefix_hash[i] = (self.prefix_hash[i - 1] * self.base + ord(self.text[i - 1]) + 13) % self.mod def get_hash(self, l, r): return (self.prefix_hash[r + 1] - self.power[r - l + 1] * self.prefix_hash[l]) % self.mod def main(): sh = StringHash('abracadabra') assert sh.get_hash(0, 0) == sh.get_hash(3, 3) assert sh.get_hash(0, 3) == sh.get_hash(7, 10) assert sh.get_hash(0, 4) != sh.get_hash(5, 9) if __name__ == '__main__': main()
class Stringhash: def __init__(self, text, base=997, mod=10 ** 18 + 3): n = len(text) self.text = text self.base = base self.mod = mod self.power = [1] * (n + 2) self.prefix_hash = [0] * (n + 2) for i in range(1, n + 1): self.power[i] = self.power[i - 1] * self.base % self.mod self.prefix_hash[i] = (self.prefix_hash[i - 1] * self.base + ord(self.text[i - 1]) + 13) % self.mod def get_hash(self, l, r): return (self.prefix_hash[r + 1] - self.power[r - l + 1] * self.prefix_hash[l]) % self.mod def main(): sh = string_hash('abracadabra') assert sh.get_hash(0, 0) == sh.get_hash(3, 3) assert sh.get_hash(0, 3) == sh.get_hash(7, 10) assert sh.get_hash(0, 4) != sh.get_hash(5, 9) if __name__ == '__main__': main()
# !/usr/bin/env python3 # Author: C.K # Email: theck17@163.com # DateTime:2021-09-23 22:21:37 # Description: class Solution: def kthSmallest(self, matrix: List[List[int]], k: int) -> int: m, n = len(matrix), len( matrix[0]) # For general, the matrix need not be a square def countLessOrEqual(x): cnt = 0 c = n - 1 # start with the rightmost column for r in range(m): while c >= 0 and matrix[r][c] > x: c -= 1 # decrease column until matrix[r][c] <= x cnt += (c + 1) return cnt left, right = matrix[0][0], matrix[-1][-1] ans = -1 while left <= right: mid = (left + right) // 2 if countLessOrEqual(mid) >= k: ans = mid right = mid - 1 # try to looking for a smaller value in the left side else: left = mid + 1 # try to looking for a bigger value in the right side return ans if __name__ == "__main__": pass
class Solution: def kth_smallest(self, matrix: List[List[int]], k: int) -> int: (m, n) = (len(matrix), len(matrix[0])) def count_less_or_equal(x): cnt = 0 c = n - 1 for r in range(m): while c >= 0 and matrix[r][c] > x: c -= 1 cnt += c + 1 return cnt (left, right) = (matrix[0][0], matrix[-1][-1]) ans = -1 while left <= right: mid = (left + right) // 2 if count_less_or_equal(mid) >= k: ans = mid right = mid - 1 else: left = mid + 1 return ans if __name__ == '__main__': pass