crumbly/tinycode-b · Datasets at Hugging Face

def junta_listas(listas): planarizada = [] for lista in listas: for e in lista: planarizada.append(e) return planarizada lista = [[1, 2, 3], [4, 5, 6], [7, 8], [9], [10]] print(junta_listas(lista))

S = input() n = S.count("N") s = S.count("S") e = S.count("E") w = S.count("W") home = False if n and s: if e and w: print("Yes") elif not e and not w: print("Yes") else: print("No") elif not n and not s: if e and w: print("Yes") elif not e and not w: print("Yes") else: print("No") else: print("No")

s = input() n = S.count('N') s = S.count('S') e = S.count('E') w = S.count('W') home = False if n and s: if e and w: print('Yes') elif not e and (not w): print('Yes') else: print('No') elif not n and (not s): if e and w: print('Yes') elif not e and (not w): print('Yes') else: print('No') else: print('No')

# lec5prob9-semordnilap.py # edX MITx 6.00.1x # Introduction to Computer Science and Programming Using Python # Lecture 5, problem 9 # A semordnilap is a word or a phrase that spells a different word when backwards # ("semordnilap" is a semordnilap of "palindromes"). Here are some examples: # # nametag / gateman # dog / god # live / evil # desserts / stressed # # Write a recursive program, semordnilap, that takes in two words and says if # they are semordnilap. def semordnilap(str1, str2): ''' str1: a string str2: a string returns: True if str1 and str2 are semordnilap; False otherwise. ''' # Your code here # Check to see if both strings are empty if not (len(str1) or len(str2)): return True # Check to see if only one string is empty if not (len(str1) and len(str2)): return False # Check to see if first char of str1 = last of str2 # If not, no further comparison needed, return False if str1[0] != str2[-1]: return False return semordnilap(str1[1:], str2[:-1]) # Performing a semordnilap comparison using slicing notation, # but this is not valid for this assigment # elif str1 == str2[::-1]: # return True # Example of calling semordnilap() theResult = semordnilap('may', 'yam') print (str(theResult))

def semordnilap(str1, str2): """ str1: a string str2: a string returns: True if str1 and str2 are semordnilap; False otherwise. """ if not (len(str1) or len(str2)): return True if not (len(str1) and len(str2)): return False if str1[0] != str2[-1]: return False return semordnilap(str1[1:], str2[:-1]) the_result = semordnilap('may', 'yam') print(str(theResult))

""" Module docstring """ def _impl(_ctx): print("printing at debug level") my_rule = rule( attrs = { }, implementation = _impl, )

""" Module docstring """ def _impl(_ctx): print('printing at debug level') my_rule = rule(attrs={}, implementation=_impl)

class Solution(object): def myPow(self, x, n): """ :type x: float :type n: int :rtype: float """ if (n < 0): x = 1 / x n = -n if n == 0: return 1 half = self.myPow(x, n // 2) if(n % 2 == 0): return half * half else: return half * half * x

class Solution(object): def my_pow(self, x, n): """ :type x: float :type n: int :rtype: float """ if n < 0: x = 1 / x n = -n if n == 0: return 1 half = self.myPow(x, n // 2) if n % 2 == 0: return half * half else: return half * half * x

class Auth: """ Base class for authentication schemes. """ def auth(self): ... def synchronous_auth(self): ... async def asynchronous_auth(self): ...

__title__ = 'fobi.contrib.plugins.form_elements.fields.' \ 'hidden_model_object.default' __author__ = 'Artur Barseghyan <artur.barseghyan@gmail.com>' __copyright__ = 'Copyright (c) 2014-2017 Artur Barseghyan' __license__ = 'GPL 2.0/LGPL 2.1' __all__ = ('IGNORED_MODELS',) IGNORED_MODELS = []

__title__ = 'fobi.contrib.plugins.form_elements.fields.hidden_model_object.default' __author__ = 'Artur Barseghyan <artur.barseghyan@gmail.com>' __copyright__ = 'Copyright (c) 2014-2017 Artur Barseghyan' __license__ = 'GPL 2.0/LGPL 2.1' __all__ = ('IGNORED_MODELS',) ignored_models = []

# Description: Sequence Built-in Methods # Sequence Methods word = 'Hello' print(len(word[1:3])) # 2 print(ord('A')) # 65 print(chr(65)) # A print(str(65)) # 65 # Looping Sequence # 1. The position index and corresponding value can be retrieved at the same time using the enumerate() function. for i, v in enumerate(['tic', 'tac', 'toe']): print(i, v) # Looping Multiple Sequences # 1. To loop over two or more sequences at the same time, the entries can be paired with the zip() function. questions = ['name', 'quest', 'favorite color'] answers = ['lancelot', 'the holy grail', 'blue'] for q, a in zip(questions, answers): print('What is your {0}? It is {1}.'.format(q, a)) # Looping in Reverse Order for i in reversed(range(1, 10, 2)): print(i) # Looping in sorted order basket = ['apple', 'orange', 'apple', 'pear', 'orange', 'banana'] for fruit in sorted(set(basket)): print(fruit)

word = 'Hello' print(len(word[1:3])) print(ord('A')) print(chr(65)) print(str(65)) for (i, v) in enumerate(['tic', 'tac', 'toe']): print(i, v) questions = ['name', 'quest', 'favorite color'] answers = ['lancelot', 'the holy grail', 'blue'] for (q, a) in zip(questions, answers): print('What is your {0}? It is {1}.'.format(q, a)) for i in reversed(range(1, 10, 2)): print(i) basket = ['apple', 'orange', 'apple', 'pear', 'orange', 'banana'] for fruit in sorted(set(basket)): print(fruit)

__author__ = "Inada Naoki <songofacandy@gmail.com>" version_info = (1,4,2,'final',0) __version__ = "1.4.2"

__author__ = 'Inada Naoki <songofacandy@gmail.com>' version_info = (1, 4, 2, 'final', 0) __version__ = '1.4.2'

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': 0.00614237, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.207513, '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': 0.0303174, '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': 0.144989, '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': 0.251068, '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': 0.143995, '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': 0.540052, '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': 0.138668, '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': 5.18734, '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': 0.00572761, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00525596, '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': 0.040423, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.038871, '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': 0.0461506, 'Execution Unit/Register Files/Runtime Dynamic': 0.044127, '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': 0.0993613, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.246254, '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': 1.44332, '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': 0.00141613, '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': 0.00141613, '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': 0.00124171, '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': 0.000485201, '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': 0.000558386, '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': 0.00463235, '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': 0.0132827, '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': 0.0373677, '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': 2.37691, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.117954, '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': 0.126918, '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': 4.71254, 'Instruction Fetch Unit/Runtime Dynamic': 0.300154, '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': 0.0873171, 'L2/Runtime Dynamic': 0.0261277, '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': 2.17728, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.491529, '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': 0.0304163, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0304164, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 2.32149, 'Load Store Unit/Runtime Dynamic': 0.671949, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.0750014, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.150003, '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': 0.0266182, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0279272, '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': 0.147787, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0193444, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.352303, 'Memory Management Unit/Runtime Dynamic': 0.0472716, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 17.2227, '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': 0.0199827, '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': 0.00765439, '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': 0.0750745, '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': 0.102712, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 2.59154, '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': 0.00310047, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.205123, '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': 0.0152966, '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': 0.0679507, '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': 0.109602, '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': 0.0553234, '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': 0.232876, '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': 0.0753712, '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': 3.99799, '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': 0.00288986, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00285016, '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': 0.0218299, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0210787, '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': 0.0247198, 'Execution Unit/Register Files/Runtime Dynamic': 0.0239288, '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': 0.0467649, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.116768, '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': 0.984073, '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': 0.000744305, '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': 0.000744305, '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': 0.000658387, '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': 0.000260395, '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': 0.000302797, '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': 0.00244979, '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': 0.00677554, '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': 0.0202635, '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': 1.28893, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.060666, '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': 0.0688238, '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': 3.57, 'Instruction Fetch Unit/Runtime Dynamic': 0.158979, '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': 0.0446739, 'L2/Runtime Dynamic': 0.0144724, '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': 1.74675, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.267023, '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': 0.0164876, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0164876, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 1.8246, 'Load Store Unit/Runtime Dynamic': 0.364822, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.0406556, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.081311, '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': 0.0144288, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0150982, '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': 0.0801409, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.00994995, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.261036, 'Memory Management Unit/Runtime Dynamic': 0.0250481, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 13.2878, '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': 0.00760166, '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': 0.00315826, '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': 0.0346102, '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': 0.0453702, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 1.59276, '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': 0.00284541, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.204923, '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': 0.0136698, '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': 0.0702686, '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': 0.113341, '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': 0.0572105, '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': 0.24082, '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': 0.078271, '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': 4.00094, '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': 0.00258252, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00294738, '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': 0.0224475, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0217977, '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': 0.02503, 'Execution Unit/Register Files/Runtime Dynamic': 0.0247451, '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': 0.0480021, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.118752, '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': 0.994617, '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': 0.000832841, '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': 0.000832841, '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': 0.000733331, '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': 0.00028822, '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': 0.000313125, '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': 0.00271214, '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': 0.00770199, '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': 0.0209547, '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': 1.33289, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0685893, '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': 0.0711715, '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': 3.6161, 'Instruction Fetch Unit/Runtime Dynamic': 0.17113, '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': 0.0420885, 'L2/Runtime Dynamic': 0.0122313, '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': 1.73161, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.256355, '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': 0.0159978, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0159977, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 1.80715, 'Load Store Unit/Runtime Dynamic': 0.351248, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.0394478, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.0788953, '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': 0.0140001, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.014631, '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': 0.0828745, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.011248, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.263033, 'Memory Management Unit/Runtime Dynamic': 0.025879, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 13.3188, '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': 0.0067936, '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': 0.003253, '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': 0.0356485, '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': 0.0456951, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 1.6008, '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': 0.00224742, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.204454, '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': 0.0108716, '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': 0.0730174, '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': 0.117774, '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': 0.0594486, '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': 0.25024, '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': 0.0818435, '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': 4.00276, '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': 0.00205387, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00306268, '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': 0.0230397, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0226504, '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': 0.0250936, 'Execution Unit/Register Files/Runtime Dynamic': 0.0257131, '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': 0.0491003, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.12115, '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': 1.00693, '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': 0.000924954, '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': 0.000924954, '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': 0.000812503, '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': 0.00031829, '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': 0.000325375, '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': 0.00298779, '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': 0.00862293, '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': 0.0217744, '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': 1.38504, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0787611, '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': 0.0739556, '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': 3.67077, 'Instruction Fetch Unit/Runtime Dynamic': 0.186102, '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': 0.0378135, 'L2/Runtime Dynamic': 0.00922845, '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': 1.71739, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.244396, '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': 0.0155378, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0155378, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 1.79076, 'Load Store Unit/Runtime Dynamic': 0.336561, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.0383135, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.0766271, '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': 0.0135976, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0141645, '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': 0.0861164, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0129149, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.265584, 'Memory Management Unit/Runtime Dynamic': 0.0270794, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 13.3572, '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': 0.00540304, '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': 0.0033601, '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': 0.0369423, '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': 0.0457054, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 1.61161, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 6.846855329007461, 'Runtime Dynamic': 6.846855329007461, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.380719, 'Runtime Dynamic': 0.170717, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 57.5671, 'Peak Power': 90.6793, 'Runtime Dynamic': 7.56743, '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': 57.1864, 'Total Cores/Runtime Dynamic': 7.39671, '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': 0.380719, 'Total L3s/Runtime Dynamic': 0.170717, '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}}

""" A min priority queue implementation using a binary heap. @author Swapnil Trambake, trambake.swapnil@gmail.com """ class BinaryHeap(): """ Class implements binary heap using array """ def __init__(self) -> None: super().__init__() self.__heap = [] def print(self): """ Prints heap on console """ print('The heap is: {}'.format(self.__heap)) def add(self, item : int): """ Add element into binary heap """ print('Adding {}'.format(item)) self.__heap.append(item) self.__swim(len(self.__heap) - 1) def poll(self): """ Poll the heap, which gets high priority element """ value = self.__heap[0] self.__remove(0) print('Polled {}'.format(value)) return value def remove(self, value): """ Removes specific element from heap """ index = self.__find(value) if index: self.__remove(index) def __remove(self, index): print('Removing {} at index {}'.format(self.__heap[index], index)) last_index = len(self.__heap) - 1 if index != last_index: self.__swap(index, last_index) del self.__heap[last_index] parent_index = int((index - 1) / 2) if parent_index <= 0 or self.__heap[parent_index] < self.__heap[index]: self.__sink(index) else: self.__swim(index) def __find(self, value): print('Finding {} in heap'.format(value)) index = None for i, val in enumerate(self.__heap): if value == val: index = i break print ('{} value {} in heap'.format('Found' if index else 'Not found', value)) return index def __swim(self, index): """ Perform bottom up swim o(log(n)) """ while True: parent = int((index - 1) / 2) if parent != index and \ self.__heap[parent] >= self.__heap[index]: self.__swap(parent, index) index = parent else: break def __sink(self, index): """ Perform top down sink o(log(n)) """ while index < len(self.__heap): leftChildIndex = 2 * index + 1 rightChildIndex = 2 * index + 2 if leftChildIndex < len(self.__heap) or rightChildIndex < len(self.__heap): if rightChildIndex < len(self.__heap): if self.__heap[index] > self.__heap[leftChildIndex] and \ self.__heap[index] > self.__heap[rightChildIndex]: indexToReplace = leftChildIndex \ if self.__heap[leftChildIndex] <= self.__heap[rightChildIndex] \ else rightChildIndex elif self.__heap[index] > self.__heap[leftChildIndex]: indexToReplace = leftChildIndex else: break else: if self.__heap[index] > self.__heap[leftChildIndex]: indexToReplace = leftChildIndex else: break else: break self.__swap(index, indexToReplace) index = indexToReplace def __swap(self, index1, index2): temp = self.__heap[index2] self.__heap[index2] = self.__heap[index1] self.__heap[index1] = temp

""" A min priority queue implementation using a binary heap. @author Swapnil Trambake, trambake.swapnil@gmail.com """ class Binaryheap: """ Class implements binary heap using array """ def __init__(self) -> None: super().__init__() self.__heap = [] def print(self): """ Prints heap on console """ print('The heap is: {}'.format(self.__heap)) def add(self, item: int): """ Add element into binary heap """ print('Adding {}'.format(item)) self.__heap.append(item) self.__swim(len(self.__heap) - 1) def poll(self): """ Poll the heap, which gets high priority element """ value = self.__heap[0] self.__remove(0) print('Polled {}'.format(value)) return value def remove(self, value): """ Removes specific element from heap """ index = self.__find(value) if index: self.__remove(index) def __remove(self, index): print('Removing {} at index {}'.format(self.__heap[index], index)) last_index = len(self.__heap) - 1 if index != last_index: self.__swap(index, last_index) del self.__heap[last_index] parent_index = int((index - 1) / 2) if parent_index <= 0 or self.__heap[parent_index] < self.__heap[index]: self.__sink(index) else: self.__swim(index) def __find(self, value): print('Finding {} in heap'.format(value)) index = None for (i, val) in enumerate(self.__heap): if value == val: index = i break print('{} value {} in heap'.format('Found' if index else 'Not found', value)) return index def __swim(self, index): """ Perform bottom up swim o(log(n)) """ while True: parent = int((index - 1) / 2) if parent != index and self.__heap[parent] >= self.__heap[index]: self.__swap(parent, index) index = parent else: break def __sink(self, index): """ Perform top down sink o(log(n)) """ while index < len(self.__heap): left_child_index = 2 * index + 1 right_child_index = 2 * index + 2 if leftChildIndex < len(self.__heap) or rightChildIndex < len(self.__heap): if rightChildIndex < len(self.__heap): if self.__heap[index] > self.__heap[leftChildIndex] and self.__heap[index] > self.__heap[rightChildIndex]: index_to_replace = leftChildIndex if self.__heap[leftChildIndex] <= self.__heap[rightChildIndex] else rightChildIndex elif self.__heap[index] > self.__heap[leftChildIndex]: index_to_replace = leftChildIndex else: break elif self.__heap[index] > self.__heap[leftChildIndex]: index_to_replace = leftChildIndex else: break else: break self.__swap(index, indexToReplace) index = indexToReplace def __swap(self, index1, index2): temp = self.__heap[index2] self.__heap[index2] = self.__heap[index1] self.__heap[index1] = temp

# tests.utils_tests # Tests for the Baleen utilities package. # # Author: Benjamin Bengfort <benjamin@bengfort.com> # Created: Sun Feb 21 15:31:55 2016 -0500 # # Copyright (C) 2016 Bengfort.com # For license information, see LICENSE.txt # # ID: __init__.py [] benjamin@bengfort.com $ """ Tests for the Baleen utilities package. """ ########################################################################## ## Imports ##########################################################################

""" Tests for the Baleen utilities package. """

budget = float(input()) statists = int(input()) one_costume_price = float(input()) decor_price = 0.1 * budget costumes_price = statists * one_costume_price if statists >= 150: costumes_price -= 0.1 * costumes_price total_price = decor_price + costumes_price money_left = budget - total_price money_needed = total_price - budget if money_left < 0: print("Not enough money!") print(f"Wingard needs {money_needed:.2f} leva more.") else: print("Action!") print(f"Wingard starts filming with {money_left:.2f} leva left.")

budget = float(input()) statists = int(input()) one_costume_price = float(input()) decor_price = 0.1 * budget costumes_price = statists * one_costume_price if statists >= 150: costumes_price -= 0.1 * costumes_price total_price = decor_price + costumes_price money_left = budget - total_price money_needed = total_price - budget if money_left < 0: print('Not enough money!') print(f'Wingard needs {money_needed:.2f} leva more.') else: print('Action!') print(f'Wingard starts filming with {money_left:.2f} leva left.')

''' Created on Jan 19, 2016 @author: elefebvre '''

""" Created on Jan 19, 2016 @author: elefebvre """

a=int(input()) b=int(input()) if a>b:a,b=b,a for i in range(a+1,b): if i%5==2 or i%5==3:print(i)

a = int(input()) b = int(input()) if a > b: (a, b) = (b, a) for i in range(a + 1, b): if i % 5 == 2 or i % 5 == 3: print(i)

class Solution: def permute(self, nums: List[int]) -> List[List[int]]: res = [] def backtrack(nums, temp): if not nums: res.append(temp) return for i in range(len(nums)): backtrack(nums[:i]+nums[i+1:], temp+[nums[i]]) backtrack(nums, []) return res

class Solution: def permute(self, nums: List[int]) -> List[List[int]]: res = [] def backtrack(nums, temp): if not nums: res.append(temp) return for i in range(len(nums)): backtrack(nums[:i] + nums[i + 1:], temp + [nums[i]]) backtrack(nums, []) return res

class LibTiffPackage (Package): def __init__(self): Package.__init__(self, 'tiff', '4.0.9', configure_flags=[ ], sources=[ 'http://download.osgeo.org/libtiff/tiff-%{version}.tar.gz', ]) self.needs_lipo = True LibTiffPackage()

class Libtiffpackage(Package): def __init__(self): Package.__init__(self, 'tiff', '4.0.9', configure_flags=[], sources=['http://download.osgeo.org/libtiff/tiff-%{version}.tar.gz']) self.needs_lipo = True lib_tiff_package()

''' Encapsulation : Part 1 Encapsulation is the process of restricting access to methods and variables in a class in order to prevent direct data modification so that it prevents accidental data modification. Encapsulation basically allows the internal representation of an object to be hidden from the view outside of the objects definition. Public methods and variables can be accessed from anywhere within the program. Private methods and variables are accessible from their own class. Double underscore prefix before object name makes it private' Encapsulation Part 2: 40 Encapsulation Part: 3 70 ''' # class Cars: # def __init__(self,speed, color): # self.speed = speed # self.color = color # def set_speed(self,value): # self.speed = value # def get_speed(self): # return self.speed # Encapsulation Part 2: 40 # class Cars: # def __init__(self,speed, color): # self.speed = speed # self.color = color # def set_speed(self,value): # self.speed = value # def get_speed(self): # return self.speed # ford = Cars(250,"green") # nissan = Cars(300,"red") # toyota = Cars(350, "blue") # # ford.set_speed(450) # If I wanted to chang he value of the speed after the instantiantion, I can do that by using the name of the instance and the method. # ford.speed = 500 # I can also access the speed variable directly without the method and change the value. I'm able to do this because there is no encapsulation in place. # print(ford.get_speed()) # 500 # print(ford) # <__main__.Cars object at 0x000002AA04FC60A0> # print(ford.color) # green # Encapsulation Part: 3 70 class Cars: def __init__(self,speed, color): self.__speed = speed # The double underscore makes the variable 'speed' private. It is now difficult to change the value of the variable directly from outside the methods in the class. self.__color = color def set_speed(self,value): self.__speed = value def get_speed(self): return self.__speed ford = Cars(250,"green") nissan = Cars(300,"red") toyota = Cars(350, "blue") # ford.set_speed(450) # If I wanted to chang he value of the speed after the instantiantion, I can do that by using the name of the instance and the method. ford.speed = 500 # I can also access the speed variable directly without the method and change the value. I'm able to do this because there is no encapsulation in place. # print(ford.get_speed()) # 250 # print(ford) # <__main__.Cars object at 0x000002AA04FC60A0> # # print(ford.color) # Traceback (most recent call last): # # # File "/home/rich/CarlsHub/Comprehensive-Python/ClassFiles/OOP/Encapsulation.py", line 92, in <module> # # # print(ford.color) # green # # # AttributeError: 'Cars' object has no attribute 'color' # print(ford.__color) print(ford.get_speed()) # 250 print(ford.__color) # Traceback (most recent call last): # File "/home/rich/CarlsHub/Comprehensive-Python/ClassFiles/OOP/Encapsulation.py", line 100, in <module> # print(ford.__color) # <__main__.Cars object at 0x000002AA04FC60A0> # AttributeError: 'Cars' object has no attribute '__color'

""" Encapsulation : Part 1 Encapsulation is the process of restricting access to methods and variables in a class in order to prevent direct data modification so that it prevents accidental data modification. Encapsulation basically allows the internal representation of an object to be hidden from the view outside of the objects definition. Public methods and variables can be accessed from anywhere within the program. Private methods and variables are accessible from their own class. Double underscore prefix before object name makes it private' Encapsulation Part 2: 40 Encapsulation Part: 3 70 """ class Cars: def __init__(self, speed, color): self.__speed = speed self.__color = color def set_speed(self, value): self.__speed = value def get_speed(self): return self.__speed ford = cars(250, 'green') nissan = cars(300, 'red') toyota = cars(350, 'blue') ford.speed = 500 print(ford.get_speed()) print(ford.__color)

#!/usr/bin/env python """job.py: File containing Job class to be used as the executors for the pipeline.""" __author__ = "Zeyad Osama" class Job: """ Job class to be used as the executors for the pipeline. """ def __init__(self) -> None: super().__init__() def initialize(self): pass def terminate(self): pass def feed(self): pass def execute(self): pass

"""job.py: File containing Job class to be used as the executors for the pipeline.""" __author__ = 'Zeyad Osama' class Job: """ Job class to be used as the executors for the pipeline. """ def __init__(self) -> None: super().__init__() def initialize(self): pass def terminate(self): pass def feed(self): pass def execute(self): pass

class UndefinedMockBehaviorError(Exception): pass class MethodWasNotCalledError(Exception): pass

class Undefinedmockbehaviorerror(Exception): pass class Methodwasnotcallederror(Exception): pass

class Solution: def decodeString(self, s: str) -> str: St = [] num = 0 curr = '' for c in s: if c.isdigit(): num = num*10 + int(c) elif c == '[': St.append([num, curr]) num = 0 curr = '' elif c == ']': count, prev = St.pop() curr = prev + count*curr else: curr += c return curr class Solution2: def decodeString(self, s: str) -> str: i = 0 def decode(s): nonlocal i result = [] while i < len(s) and s[i] != ']': if s[i].isdigit(): num = 0 while i < len(s) and s[i].isdigit(): num = num*10 + int(s[i]) i += 1 i += 1 temp = decode(s) i += 1 result += temp*num else: result.append(s[i]) i += 1 return result return ''.join(decode(s))

class Solution: def decode_string(self, s: str) -> str: st = [] num = 0 curr = '' for c in s: if c.isdigit(): num = num * 10 + int(c) elif c == '[': St.append([num, curr]) num = 0 curr = '' elif c == ']': (count, prev) = St.pop() curr = prev + count * curr else: curr += c return curr class Solution2: def decode_string(self, s: str) -> str: i = 0 def decode(s): nonlocal i result = [] while i < len(s) and s[i] != ']': if s[i].isdigit(): num = 0 while i < len(s) and s[i].isdigit(): num = num * 10 + int(s[i]) i += 1 i += 1 temp = decode(s) i += 1 result += temp * num else: result.append(s[i]) i += 1 return result return ''.join(decode(s))

# Belajar default argument value #defaul name berfungsi memberikan pengisian default pada parameter #sehingga pengisian parameter bersifat opsional def say_hello(nama="aris"): #menggunakan sama dengan lalu ketik default value nya print(f"Hello {nama}!") say_hello("karachi") say_hello() #akan error jika tidak default argumen tidak dipasang, tetapi jika dipasang maka akan keluar hasil yg default #bagaimana jika menggunakan lebih dari 1 parameter def says_hello(nama_pertama="uchiha", nama_kedua=""): #ketika ada 2 parameter, jika ingin dipasang defaul argument, maka harus 22nya dipasang print(f"Hello {nama_pertama}-{nama_kedua}!") says_hello("muhammad", "aris") #auto terpasang berurutan says_hello(nama_kedua="shishui") #ketik parameter lalu sama dengan, maka akan terpasang di parameter tsb says_hello(nama_kedua="uchiha", nama_pertama="madara") #pemasangan argumen parameter (ex: madara) boleh acak, ketika ada deklarasi parameternya says_hello(nama_kedua="obito")

def say_hello(nama='aris'): print(f'Hello {nama}!') say_hello('karachi') say_hello() def says_hello(nama_pertama='uchiha', nama_kedua=''): print(f'Hello {nama_pertama}-{nama_kedua}!') says_hello('muhammad', 'aris') says_hello(nama_kedua='shishui') says_hello(nama_kedua='uchiha', nama_pertama='madara') says_hello(nama_kedua='obito')

# getattr(object, name[, default]) class C: def A(self): pass print(getattr(C, 'A'))

class C: def a(self): pass print(getattr(C, 'A'))

arr=input("Enter array elements").split(' ') arr=[int(x) for x in arr] for i in range(len(arr)): for j in range(len(arr)-1-i): if(arr[j]>arr[j+1]): arr[j],arr[j+1]=arr[j+1],arr[j] print("Sorted array is:",arr) """ Problem Statement: Sort array using bubble sort technique Sample Input/Output: Input: 4 2 5 3 1 Output: 1,2,3,4,5 Time Complexity: O(n^2) (worst) Space Complexity: O(1) """

arr = input('Enter array elements').split(' ') arr = [int(x) for x in arr] for i in range(len(arr)): for j in range(len(arr) - 1 - i): if arr[j] > arr[j + 1]: (arr[j], arr[j + 1]) = (arr[j + 1], arr[j]) print('Sorted array is:', arr) '\nProblem Statement: Sort array using bubble sort technique\n\nSample Input/Output:\nInput: 4 2 5 3 1\nOutput: 1,2,3,4,5\n\nTime Complexity: O(n^2) (worst)\nSpace Complexity: O(1)\n'

# # Copyright (C) 2017 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. # # model model = Model() i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 0 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 1 i3 = Input("op3", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 2 axis0 = Int32Scalar("axis0", 3) r = Output("result", "TENSOR_FLOAT32", "{1, 2, 3, 6}") # output model = model.Operation("CONCATENATION", i1, i2, i3, axis0).To(r) # Example 1. input0 = {i1: [-0.03203143, -0.0334147 , -0.02527265, 0.04576106, 0.08869292, 0.06428383, -0.06473722, -0.21933985, -0.05541003, -0.24157837, -0.16328812, -0.04581105], i2: [-0.0569439 , -0.15872048, 0.02965238, -0.12761882, -0.00185435, -0.03297619, 0.03581043, -0.12603407, 0.05999133, 0.00290503, 0.1727029 , 0.03342071], i3: [ 0.10992613, 0.09185287, 0.16433905, -0.00059073, -0.01480746, 0.0135175 , 0.07129054, -0.15095694, -0.04579685, -0.13260484, -0.10045543, 0.0647094 ]} output0 = {r: [-0.03203143, -0.0334147 , -0.0569439 , -0.15872048, 0.10992613, 0.09185287, -0.02527265, 0.04576106, 0.02965238, -0.12761882, 0.16433905, -0.00059073, 0.08869292, 0.06428383, -0.00185435, -0.03297619, -0.01480746, 0.0135175 , -0.06473722, -0.21933985, 0.03581043, -0.12603407, 0.07129054, -0.15095694, -0.05541003, -0.24157837, 0.05999133, 0.00290503, -0.04579685, -0.13260484, -0.16328812, -0.04581105, 0.1727029 , 0.03342071, -0.10045543, 0.0647094 ]} # Instantiate an example Example((input0, output0)) ''' # The above data was generated with the code below: with tf.Session() as sess: t1 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32) t2 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32) t3 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32) c1 = tf.concat([t1, t2, t3], axis=3) print(c1) # print shape print( sess.run([tf.reshape(t1, [12]), tf.reshape(t2, [12]), tf.reshape(t3, [12]), tf.reshape(c1, [1*2*3*(2*3)])])) '''

model = model() i1 = input('op1', 'TENSOR_FLOAT32', '{1, 2, 3, 2}') i2 = input('op2', 'TENSOR_FLOAT32', '{1, 2, 3, 2}') i3 = input('op3', 'TENSOR_FLOAT32', '{1, 2, 3, 2}') axis0 = int32_scalar('axis0', 3) r = output('result', 'TENSOR_FLOAT32', '{1, 2, 3, 6}') model = model.Operation('CONCATENATION', i1, i2, i3, axis0).To(r) input0 = {i1: [-0.03203143, -0.0334147, -0.02527265, 0.04576106, 0.08869292, 0.06428383, -0.06473722, -0.21933985, -0.05541003, -0.24157837, -0.16328812, -0.04581105], i2: [-0.0569439, -0.15872048, 0.02965238, -0.12761882, -0.00185435, -0.03297619, 0.03581043, -0.12603407, 0.05999133, 0.00290503, 0.1727029, 0.03342071], i3: [0.10992613, 0.09185287, 0.16433905, -0.00059073, -0.01480746, 0.0135175, 0.07129054, -0.15095694, -0.04579685, -0.13260484, -0.10045543, 0.0647094]} output0 = {r: [-0.03203143, -0.0334147, -0.0569439, -0.15872048, 0.10992613, 0.09185287, -0.02527265, 0.04576106, 0.02965238, -0.12761882, 0.16433905, -0.00059073, 0.08869292, 0.06428383, -0.00185435, -0.03297619, -0.01480746, 0.0135175, -0.06473722, -0.21933985, 0.03581043, -0.12603407, 0.07129054, -0.15095694, -0.05541003, -0.24157837, 0.05999133, 0.00290503, -0.04579685, -0.13260484, -0.16328812, -0.04581105, 0.1727029, 0.03342071, -0.10045543, 0.0647094]} example((input0, output0)) '\n# The above data was generated with the code below:\n\nwith tf.Session() as sess:\n\n t1 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)\n t2 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)\n t3 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)\n c1 = tf.concat([t1, t2, t3], axis=3)\n\n print(c1) # print shape\n print( sess.run([tf.reshape(t1, [12]),\n tf.reshape(t2, [12]),\n tf.reshape(t3, [12]),\n tf.reshape(c1, [1*2*3*(2*3)])]))\n'

class PseudoData(dict): def __init__(self, name_func_dict, sweep): super(PseudoData, self).__init__() self.name_func_dict = name_func_dict self.sweep = sweep def __getitem__(self, key): if key in self.keys(): return dict.__getitem__(self, key) elif key in self.name_func_dict: func = self.name_func_dict[key]['func'] pcol = func(self.sweep.data, self.sweep.pdata, self.sweep.meta) self.__setitem__(key, pcol) return pcol else: return dict.__getitem__(self, key) def get_names(self): names = [k for k, v in self.name_func_dict.items() if 'func' in v] names.sort() return names

class Pseudodata(dict): def __init__(self, name_func_dict, sweep): super(PseudoData, self).__init__() self.name_func_dict = name_func_dict self.sweep = sweep def __getitem__(self, key): if key in self.keys(): return dict.__getitem__(self, key) elif key in self.name_func_dict: func = self.name_func_dict[key]['func'] pcol = func(self.sweep.data, self.sweep.pdata, self.sweep.meta) self.__setitem__(key, pcol) return pcol else: return dict.__getitem__(self, key) def get_names(self): names = [k for (k, v) in self.name_func_dict.items() if 'func' in v] names.sort() return names

# LAB EXERCISE 05 print('Lab Exercise 05 \n') # SETUP pop_tv_shows = [ {"Title": "WandaVision", "Creator": ["Jac Schaeffer"], "Rating": 8.2, "Genre": "Action"}, {"Title": "Attack on Titan", "Creator": ["Hajime Isayama"], "Rating": 8.9, "Genre": "Animation"}, {"Title": "Bridgerton", "Creator": ["Chris Van Dusen"], "Rating": 7.3, "Genre": "Drama"}, {"Title": "Game of Thrones", "Creator": ["David Benioff", "D.B. Weiss"], "Rating": 9.3, "Genre": "Action"}, {"Title": "The Mandalorian", "Creator": ["Jon Favreau"], "Rating": 8.8, "Genre": "Action"}, {"Title": "The Queen's Gambit", "Creator": ["Scott Frank", "Allan Scott"], "Rating": 8.6, "Genre": "Drama"}, {"Title": "Schitt's Creek", "Creator": ["Dan Levy", "Eugene Levy"], "Rating": 8.5, "Genre": "Comedy"}, {"Title": "The Equalizer", "Creator": ["Andrew W. Marlowe", "Terri Edda Miller"], "Rating": 4.3, "Genre": "Action"}, {"Title": "Your Honor", "Creator": ["Peter Moffat"], "Rating": 7.9, "Genre": "Crime"}, {"Title": "Cobra Kai", "Creator": ["Jon Hurwitz", "Hayden Schlossberg", "Josh Heald"] , "Rating": 8.6, "Genre": "Action"} ] # END SETUP # Problem 01 (4 points) print('/nProblem 01') action_shows = [] for show in pop_tv_shows: if show['Genre'] == 'Action': action_shows.append(show['Title']) print(f'Action show list:{action_shows}') # Problem 02 (4 points) print('/nProblem 02') high_rating = 0 highest_rated_show = None for show in pop_tv_shows: if show["Rating"] > high_rating: high_rating = show["Rating"] highest_rated_show = show["Title"] print(f'Highest rated show is {highest_rated_show} with a rating of {high_rating}') # Problem 03 (4 points) print('/nProblem 03') low_rating = 10 lowest_rated_show = None for show in pop_tv_shows: if show["Rating"] < low_rating and show['Genre'] != "Action": low_rating = show["Rating"] lowest_rated_show = show["Title"] print(f'Lowest rated non-action show is {lowest_rated_show} with a rating of {low_rating}') # Problem 04 (4 points) print('/nProblem 04') multiple_creators = [] for show in pop_tv_shows: if len(show["Creator"]) > 1: multiple_creators.append(show["Title"]) print(f'Show with multiple creators: {multiple_creators}') # Problem 05 (4 points) print('/nProblem 05') show_genre = [] for show in pop_tv_shows: if show['Genre'] not in ["Action", "Drama"] or show["Rating"] >= 9: item = {'Title': show['Title'], 'Genre': show['Genre']} show_genre.append(item) print(f'Show and genre: {show_genre}')

print('Lab Exercise 05 \n') pop_tv_shows = [{'Title': 'WandaVision', 'Creator': ['Jac Schaeffer'], 'Rating': 8.2, 'Genre': 'Action'}, {'Title': 'Attack on Titan', 'Creator': ['Hajime Isayama'], 'Rating': 8.9, 'Genre': 'Animation'}, {'Title': 'Bridgerton', 'Creator': ['Chris Van Dusen'], 'Rating': 7.3, 'Genre': 'Drama'}, {'Title': 'Game of Thrones', 'Creator': ['David Benioff', 'D.B. Weiss'], 'Rating': 9.3, 'Genre': 'Action'}, {'Title': 'The Mandalorian', 'Creator': ['Jon Favreau'], 'Rating': 8.8, 'Genre': 'Action'}, {'Title': "The Queen's Gambit", 'Creator': ['Scott Frank', 'Allan Scott'], 'Rating': 8.6, 'Genre': 'Drama'}, {'Title': "Schitt's Creek", 'Creator': ['Dan Levy', 'Eugene Levy'], 'Rating': 8.5, 'Genre': 'Comedy'}, {'Title': 'The Equalizer', 'Creator': ['Andrew W. Marlowe', 'Terri Edda Miller'], 'Rating': 4.3, 'Genre': 'Action'}, {'Title': 'Your Honor', 'Creator': ['Peter Moffat'], 'Rating': 7.9, 'Genre': 'Crime'}, {'Title': 'Cobra Kai', 'Creator': ['Jon Hurwitz', 'Hayden Schlossberg', 'Josh Heald'], 'Rating': 8.6, 'Genre': 'Action'}] print('/nProblem 01') action_shows = [] for show in pop_tv_shows: if show['Genre'] == 'Action': action_shows.append(show['Title']) print(f'Action show list:{action_shows}') print('/nProblem 02') high_rating = 0 highest_rated_show = None for show in pop_tv_shows: if show['Rating'] > high_rating: high_rating = show['Rating'] highest_rated_show = show['Title'] print(f'Highest rated show is {highest_rated_show} with a rating of {high_rating}') print('/nProblem 03') low_rating = 10 lowest_rated_show = None for show in pop_tv_shows: if show['Rating'] < low_rating and show['Genre'] != 'Action': low_rating = show['Rating'] lowest_rated_show = show['Title'] print(f'Lowest rated non-action show is {lowest_rated_show} with a rating of {low_rating}') print('/nProblem 04') multiple_creators = [] for show in pop_tv_shows: if len(show['Creator']) > 1: multiple_creators.append(show['Title']) print(f'Show with multiple creators: {multiple_creators}') print('/nProblem 05') show_genre = [] for show in pop_tv_shows: if show['Genre'] not in ['Action', 'Drama'] or show['Rating'] >= 9: item = {'Title': show['Title'], 'Genre': show['Genre']} show_genre.append(item) print(f'Show and genre: {show_genre}')

__author__ = 'chira' # "return" used for mathematical function composition def f(x): # x is an INPUT y = 2*x + 3 return y # y is an OUTPUT def g(x): # x is an INPUT y = pow(x,2) return y # y is an OUTPUT def h(x,y): # x and y are INPUTS z = pow(x,2) + 3*y; return z # z is an OUTPUT output = 0 # initializing a variable to store return values output = f(1) # return form "f" stored in output print("f(%d) = %d" %(1,output)) output = g(5) print("g(%d) = %d" %(5,output)) output = f(25) print("f(%d) = %d" %(25,output)) output = f(g(5)) # return form "g" is input to "f" print("f(g(%d)) = %d" %(5,output)) output = h(5,25) print("h(%d,%d) = %d" %(5,25,output)) output = h(f(1),g(5)) # returns form "f" and "g" are inputs to "h" print("h(f(%d),g(%d)) = %d" %(1,5,output))

__author__ = 'chira' def f(x): y = 2 * x + 3 return y def g(x): y = pow(x, 2) return y def h(x, y): z = pow(x, 2) + 3 * y return z output = 0 output = f(1) print('f(%d) = %d' % (1, output)) output = g(5) print('g(%d) = %d' % (5, output)) output = f(25) print('f(%d) = %d' % (25, output)) output = f(g(5)) print('f(g(%d)) = %d' % (5, output)) output = h(5, 25) print('h(%d,%d) = %d' % (5, 25, output)) output = h(f(1), g(5)) print('h(f(%d),g(%d)) = %d' % (1, 5, output))

def balancedSums(arr): if n == 1: return 'YES' sumL = 0 sumR = 0 i =0 j = n-1 while i <= j: if i ==j and sumL == sumR: return 'YES' elif sumL > sumR: sumR+=arr[j] j =j-1 else: sumL+=arr[i] i =i +1 return 'NO' arr = [0 ,0 ,2, 0] n = len(arr) print(balancedSums(arr))

def balanced_sums(arr): if n == 1: return 'YES' sum_l = 0 sum_r = 0 i = 0 j = n - 1 while i <= j: if i == j and sumL == sumR: return 'YES' elif sumL > sumR: sum_r += arr[j] j = j - 1 else: sum_l += arr[i] i = i + 1 return 'NO' arr = [0, 0, 2, 0] n = len(arr) print(balanced_sums(arr))

def perfect_square(x): if (x == 0 or x == 1): return x i = 1 result = 1 while (result <= x): i += 1 result = i * i return i - 1 x = int(input('Enter no.')) print(perfect_square(x))

def perfect_square(x): if x == 0 or x == 1: return x i = 1 result = 1 while result <= x: i += 1 result = i * i return i - 1 x = int(input('Enter no.')) print(perfect_square(x))

# Default delimiters INPUT1 = ''' pid 2 uptime 675 version 1.2.5 END pid 1 uptime 2 version 3 END ''' OUTPUT1 = '''{"pid": "2", "uptime": "675", "version": "1.2.5"} {"pid": "1", "uptime": "2", "version": "3"} ''' # --field-delim '=', --record-delim '%\n' INPUT2 = ''' a=1 b=2 c=3 % d=4 e=5 f=6 % ''' OUTPUT2 = '''{"a": "1", "b": "2", "c": "3"} {"d": "4", "e": "5", "f": "6"} ''' # --field-delim '=', --entry-delim '|' --record-delim '%\n' INPUT3 = ''' a=1|b=2|c=3% d=4|e=5|f=6% ''' OUTPUT3 = '''{"a": "1", "b": "2", "c": "3"} {"d": "4", "e": "5", "f": "6"} ''' # --field-delim '=', --entry-delim '|' --record-delim '%' INPUT4 = ''' a=1|b=2|c=3%d=4|e=5|f=6% ''' OUTPUT4 = '''{"a": "1", "b": "2", "c": "3"} {"d": "4", "e": "5", "f": "6"} '''

input1 = '\npid 2\nuptime 675\nversion 1.2.5 END\npid 1\nuptime 2\nversion 3\nEND\n' output1 = '{"pid": "2", "uptime": "675", "version": "1.2.5"}\n{"pid": "1", "uptime": "2", "version": "3"}\n' input2 = '\na=1\nb=2\nc=3\n%\nd=4\ne=5\nf=6\n%\n' output2 = '{"a": "1", "b": "2", "c": "3"}\n{"d": "4", "e": "5", "f": "6"}\n' input3 = '\na=1|b=2|c=3%\nd=4|e=5|f=6%\n' output3 = '{"a": "1", "b": "2", "c": "3"}\n{"d": "4", "e": "5", "f": "6"}\n' input4 = '\na=1|b=2|c=3%d=4|e=5|f=6%\n' output4 = '{"a": "1", "b": "2", "c": "3"}\n{"d": "4", "e": "5", "f": "6"}\n'

def capitalize(string): sttings_upper = string.title() for word in string.split(): words = word[:-1] + word[0-1].upper() + " " return sttings_upper[:-1] print(capitalize("GoLand is a new commercial IDE by JetBrains aimed at providing an ergonomic environment " "for Go development. The new IDE extends the IntelliJ platform with coding assistance " "and tool integrations specific for the Go language."))

def capitalize(string): sttings_upper = string.title() for word in string.split(): words = word[:-1] + word[0 - 1].upper() + ' ' return sttings_upper[:-1] print(capitalize('GoLand is a new commercial IDE by JetBrains aimed at providing an ergonomic environment for Go development. The new IDE extends the IntelliJ platform with coding assistance and tool integrations specific for the Go language.'))

"""Meta information for csv2sql.""" __version__ = '0.4.1' __author__ = 'Yu Mochizuki' __author_email__ = 'ymoch.dev@gmail.com'

class Solution: def compareVersion(self, version1: str, version2: str) -> int: l1 = [int(s) for s in version1.split(".")] l2 = [int(s) for s in version2.split(".")] len1, len2 = len(l1), len(l2) if len1 > len2: l2 += [0] * (len1 - len2) elif len1 < len2: l1 += [0] * (len2 - len1) return (l1 > l2) - (l1 < l2)

class Solution: def compare_version(self, version1: str, version2: str) -> int: l1 = [int(s) for s in version1.split('.')] l2 = [int(s) for s in version2.split('.')] (len1, len2) = (len(l1), len(l2)) if len1 > len2: l2 += [0] * (len1 - len2) elif len1 < len2: l1 += [0] * (len2 - len1) return (l1 > l2) - (l1 < l2)

""" File: anagram.py Name: Jason Huang ---------------------------------- This program recursively finds all the anagram(s) for the word input by user and terminates when the input string matches the EXIT constant defined at line 19 If you correctly implement this program, you should see the number of anagrams for each word listed below: * arm -> 3 anagrams * contains -> 5 anagrams * stop -> 6 anagrams * tesla -> 10 anagrams * spear -> 12 anagrams """ # Constants FILE = 'dictionary.txt' # This is the filename of an English dictionary EXIT = '-1' # Controls when to stop the loop result_list = [] dictionary = [] def main(): # This is the program to find the anagram in dictionary global result_list while True: result_list = [] print(f'Welcome to stanCode \"Anagram Generator\" (or {EXIT} to quit)') s = input(str('Find anagrams for:')) if s == EXIT: break else: read_dictionary() find_anagrams(s) def read_dictionary(): # This function is to add the raw material of dictionary in the list. with open(FILE, 'r') as f: for line in f: line = line.strip() dictionary.append(line) def find_anagrams(s): """ :param s: the word which is the word user want to find the anagram in the dictionary using this program :return: list, all of the anagrams """ word = [] find_anagrams_helper(s, word) print(f'{len(result_list)} anagrams: {result_list}') def find_anagrams_helper(s, word): """ this is the helper program to support find_anagrams(s). :param s: the word which is the word user want to find the anagram in the dictionary using this program :param word: the list which will collect the index of the letter in s :return: list, anagrams, the anagrams of s. """ if len(word) == len(s): result = '' for index in word: result += s[index] if result in dictionary: if result not in result_list: print('Searching...') print(f'Found: \'{result}\' in dictionary..') result_list.append(result) else: for i in range(len(s)): if i not in word: # choose word.append(i) # explore find_anagrams_helper(s, word) # un-choose word.pop() def has_prefix(sub_s): """ This program is to pre-check whether the word prefix is in the dictionary :param sub_s: the prefix of string formulated by the word index. :return: boolean, True or False """ read_dictionary() bool_list = [] for word in dictionary: if word.startswith(sub_s): bool_list.append(1) else: bool_list.append(0) if 1 in bool_list: return True return False if __name__ == '__main__': main()

""" File: anagram.py Name: Jason Huang ---------------------------------- This program recursively finds all the anagram(s) for the word input by user and terminates when the input string matches the EXIT constant defined at line 19 If you correctly implement this program, you should see the number of anagrams for each word listed below: * arm -> 3 anagrams * contains -> 5 anagrams * stop -> 6 anagrams * tesla -> 10 anagrams * spear -> 12 anagrams """ file = 'dictionary.txt' exit = '-1' result_list = [] dictionary = [] def main(): global result_list while True: result_list = [] print(f'Welcome to stanCode "Anagram Generator" (or {EXIT} to quit)') s = input(str('Find anagrams for:')) if s == EXIT: break else: read_dictionary() find_anagrams(s) def read_dictionary(): with open(FILE, 'r') as f: for line in f: line = line.strip() dictionary.append(line) def find_anagrams(s): """ :param s: the word which is the word user want to find the anagram in the dictionary using this program :return: list, all of the anagrams """ word = [] find_anagrams_helper(s, word) print(f'{len(result_list)} anagrams: {result_list}') def find_anagrams_helper(s, word): """ this is the helper program to support find_anagrams(s). :param s: the word which is the word user want to find the anagram in the dictionary using this program :param word: the list which will collect the index of the letter in s :return: list, anagrams, the anagrams of s. """ if len(word) == len(s): result = '' for index in word: result += s[index] if result in dictionary: if result not in result_list: print('Searching...') print(f"Found: '{result}' in dictionary..") result_list.append(result) else: for i in range(len(s)): if i not in word: word.append(i) find_anagrams_helper(s, word) word.pop() def has_prefix(sub_s): """ This program is to pre-check whether the word prefix is in the dictionary :param sub_s: the prefix of string formulated by the word index. :return: boolean, True or False """ read_dictionary() bool_list = [] for word in dictionary: if word.startswith(sub_s): bool_list.append(1) else: bool_list.append(0) if 1 in bool_list: return True return False if __name__ == '__main__': main()

############# constants TITLE = "Cheese Maze" DEVELOPER = "Jack Gartner" HISTORY = "A mouse wants eat his cheese, Make it to the Hashtag to win, watch out for plus signs, $ is a teleport, P is a power up, Obtain the Key (K) in order to unlock the door (D)" INSTRUCTIONS = "left arrow key\t\t\tto move left\nright arrow key\t\t\tto move right\nup arrow key\t\t\tto move up\ndown arrow key\t\t\tto move down\npress q\t\t\t\t\tto quit" ############# functions def displayTitle(): print(TITLE) print("By " + DEVELOPER) print() print(HISTORY) print() print(INSTRUCTIONS) print() def displayBoard(): print("-----------------") print("| +\033[36mK\033[37m + \033[33mP\033[37m|") print("|\033[32m#\033[37m \033[31mD\033[37m + |") print("|++++ ++++++ |") print("| + |") print("| ++++++ +++++|") print("| \033[34m$\033[37m|") print("-----------------")

title = 'Cheese Maze' developer = 'Jack Gartner' history = 'A mouse wants eat his cheese, Make it to the Hashtag to win, watch out for plus signs, $ is a teleport, P is a power up, Obtain the Key (K) in order to unlock the door (D)' instructions = 'left arrow key\t\t\tto move left\nright arrow key\t\t\tto move right\nup arrow key\t\t\tto move up\ndown arrow key\t\t\tto move down\npress q\t\t\t\t\tto quit' def display_title(): print(TITLE) print('By ' + DEVELOPER) print() print(HISTORY) print() print(INSTRUCTIONS) print() def display_board(): print('-----------------') print('| +\x1b[36mK\x1b[37m + \x1b[33mP\x1b[37m|') print('|\x1b[32m#\x1b[37m \x1b[31mD\x1b[37m + |') print('|++++ ++++++ |') print('| + |') print('| ++++++ +++++|') print('| \x1b[34m$\x1b[37m|') print('-----------------')

score = float(input("Enter Score: ")) if score < 1 and score > 0: if score >= 0.9: print('A') elif score >= 0.8: print('B') elif score >= 0.7: print('C') elif score >= 0.6: print('D') else: print('F') else: print('Value of score is out of range.') largest = None smallest = None while True: num = input("Enter a number: ") if num == "done" : break try: num = int(num) except: print('Invalid input') continue if largest is None: largest = num elif num > largest: largest = num elif smallest is None: smallest = num elif num < smallest: smallest = num #print(num) print("Maximum is", largest) print('Minimum is', smallest) def computepay(h,r): if h <= 40: pay = h * r else: h1 = h - 40 pay = 40 * r + h1 *(r * 1.5) return pay hrs = input("Enter Hours:") rate = input('Enter Rate:') h = float(hrs) r = float(rate) p = computepay(h,r) print("Pay",p)

score = float(input('Enter Score: ')) if score < 1 and score > 0: if score >= 0.9: print('A') elif score >= 0.8: print('B') elif score >= 0.7: print('C') elif score >= 0.6: print('D') else: print('F') else: print('Value of score is out of range.') largest = None smallest = None while True: num = input('Enter a number: ') if num == 'done': break try: num = int(num) except: print('Invalid input') continue if largest is None: largest = num elif num > largest: largest = num elif smallest is None: smallest = num elif num < smallest: smallest = num print('Maximum is', largest) print('Minimum is', smallest) def computepay(h, r): if h <= 40: pay = h * r else: h1 = h - 40 pay = 40 * r + h1 * (r * 1.5) return pay hrs = input('Enter Hours:') rate = input('Enter Rate:') h = float(hrs) r = float(rate) p = computepay(h, r) print('Pay', p)

class BaseRequestError(Exception): def __init__(self, *args, **kwargs): self.errors = [] self.code = 400 if 'code' in kwargs: self.code = kwargs['code'] def add_error(self, err): self.info.append(err) def set_errors(self, errors): self.errors = errors class BadRequestError(BaseRequestError): """400 BadRequestError""" def __init__(self, *args, **kwargs): super(BadRequestError, self).__init__(*args, **kwargs)

class Baserequesterror(Exception): def __init__(self, *args, **kwargs): self.errors = [] self.code = 400 if 'code' in kwargs: self.code = kwargs['code'] def add_error(self, err): self.info.append(err) def set_errors(self, errors): self.errors = errors class Badrequesterror(BaseRequestError): """400 BadRequestError""" def __init__(self, *args, **kwargs): super(BadRequestError, self).__init__(*args, **kwargs)

''' Created on May 19, 2019 @author: ballance ''' # TODO: implement simulation-access methods # - yield # - get sim time # - ... # # The launcher will ultimately implement these methods #

""" Created on May 19, 2019 @author: ballance """

"""Provide some variants of assert.""" def _custom_assert(condition: bool, on_error_msg: str = "") -> None: """Provide a custom assert which is kept even if the optimized python mode is used. See https://docs.python.org/3/reference/simple_stmts.html#assert for the documentation on the classical assert function Args: condition(bool): the condition. If False, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ if not condition: raise AssertionError(on_error_msg) def assert_true(condition: bool, on_error_msg: str = ""): """Provide a custom assert to check that the condition is True. Args: condition(bool): the condition. If False, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ return _custom_assert(condition, on_error_msg) def assert_false(condition: bool, on_error_msg: str = ""): """Provide a custom assert to check that the condition is False. Args: condition(bool): the condition. If True, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ return _custom_assert(not condition, on_error_msg) def assert_not_reached(on_error_msg: str): """Provide a custom assert to check that a piece of code is never reached. Args: on_error_msg(str): message for precising the error """ return _custom_assert(False, on_error_msg)

"""Provide some variants of assert.""" def _custom_assert(condition: bool, on_error_msg: str='') -> None: """Provide a custom assert which is kept even if the optimized python mode is used. See https://docs.python.org/3/reference/simple_stmts.html#assert for the documentation on the classical assert function Args: condition(bool): the condition. If False, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ if not condition: raise assertion_error(on_error_msg) def assert_true(condition: bool, on_error_msg: str=''): """Provide a custom assert to check that the condition is True. Args: condition(bool): the condition. If False, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ return _custom_assert(condition, on_error_msg) def assert_false(condition: bool, on_error_msg: str=''): """Provide a custom assert to check that the condition is False. Args: condition(bool): the condition. If True, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ return _custom_assert(not condition, on_error_msg) def assert_not_reached(on_error_msg: str): """Provide a custom assert to check that a piece of code is never reached. Args: on_error_msg(str): message for precising the error """ return _custom_assert(False, on_error_msg)

def find_even_index(arr): for index, int in enumerate(arr): left = sum_range(arr, 0, index) right = sum_range(arr, index, len(arr)) if left == right: return index return -1 def sum_range(arr, a, b): return sum(arr[a:b + 1])

def find_even_index(arr): for (index, int) in enumerate(arr): left = sum_range(arr, 0, index) right = sum_range(arr, index, len(arr)) if left == right: return index return -1 def sum_range(arr, a, b): return sum(arr[a:b + 1])

# DO NOT EDIT: this file is auto-generated def _jvm_deps_impl(ctx): content = """ load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file") def load_jvm_deps(): http_file(name="com.google.code.findbugs_jsr305_1.3.9", urls=["https://repo1.maven.org/maven2/com/google/code/findbugs/jsr305/1.3.9/jsr305-1.3.9.jar"], sha256="905721a0eea90a81534abb7ee6ef4ea2e5e645fa1def0a5cd88402df1b46c9ed") http_file(name="com.google.code.findbugs_jsr305_3.0.2", urls=["https://repo1.maven.org/maven2/com/google/code/findbugs/jsr305/3.0.2/jsr305-3.0.2.jar"], sha256="766ad2a0783f2687962c8ad74ceecc38a28b9f72a2d085ee438b7813e928d0c7") http_file(name="com.google.errorprone_error_prone_annotations_2.3.4", urls=["https://repo1.maven.org/maven2/com/google/errorprone/error_prone_annotations/2.3.4/error_prone_annotations-2.3.4.jar"], sha256="baf7d6ea97ce606c53e11b6854ba5f2ce7ef5c24dddf0afa18d1260bd25b002c") http_file(name="com.google.guava_failureaccess_1.0.1", urls=["https://repo1.maven.org/maven2/com/google/guava/failureaccess/1.0.1/failureaccess-1.0.1.jar"], sha256="a171ee4c734dd2da837e4b16be9df4661afab72a41adaf31eb84dfdaf936ca26") http_file(name="com.google.guava_guava_24.1.1-jre", urls=["https://repo1.maven.org/maven2/com/google/guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], sha256="490c16878c7a2c22e136728ad473c4190b21b82b46e261ba84ad2e4a5c28fbcf") http_file(name="com.google.guava_guava_29.0-jre", urls=["https://repo1.maven.org/maven2/com/google/guava/guava/29.0-jre/guava-29.0-jre.jar"], sha256="b22c5fb66d61e7b9522531d04b2f915b5158e80aa0b40ee7282c8bfb07b0da25") http_file(name="com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", urls=["https://repo1.maven.org/maven2/com/google/guava/listenablefuture/9999.0-empty-to-avoid-conflict-with-guava/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar"], sha256="b372a037d4230aa57fbeffdef30fd6123f9c0c2db85d0aced00c91b974f33f99") http_file(name="com.google.j2objc_j2objc-annotations_1.3", urls=["https://repo1.maven.org/maven2/com/google/j2objc/j2objc-annotations/1.3/j2objc-annotations-1.3.jar"], sha256="21af30c92267bd6122c0e0b4d20cccb6641a37eaf956c6540ec471d584e64a7b") http_file(name="com.google.protobuf_protobuf-java_3.13.0", urls=["https://repo1.maven.org/maven2/com/google/protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], sha256="97d5b2758408690c0dc276238707492a0b6a4d71206311b6c442cdc26c5973ff") http_file(name="com.lihaoyi_fansi_2.12_0.2.5", urls=["https://repo1.maven.org/maven2/com/lihaoyi/fansi_2.12/0.2.5/fansi_2.12-0.2.5.jar"], sha256="7d752240ec724e7370903c25b69088922fa3fb6831365db845cd72498f826eca") http_file(name="com.lihaoyi_fastparse-utils_2.12_1.0.0", urls=["https://repo1.maven.org/maven2/com/lihaoyi/fastparse-utils_2.12/1.0.0/fastparse-utils_2.12-1.0.0.jar"], sha256="fb6cd6484e21459e11fcd45f22f07ad75e3cb29eca0650b39aa388d13c8e7d0a") http_file(name="com.lihaoyi_fastparse_2.12_1.0.0", urls=["https://repo1.maven.org/maven2/com/lihaoyi/fastparse_2.12/1.0.0/fastparse_2.12-1.0.0.jar"], sha256="1227a00a26a4ad76ddcfa6eae2416687df7f3c039553d586324b32ba0a528fcc") http_file(name="com.lihaoyi_pprint_2.12_0.5.3", urls=["https://repo1.maven.org/maven2/com/lihaoyi/pprint_2.12/0.5.3/pprint_2.12-0.5.3.jar"], sha256="2e18aa0884870537bf5c562255fc759d4ebe360882b5cb2141b30eda4034c71d") http_file(name="com.lihaoyi_sourcecode_2.12_0.1.4", urls=["https://repo1.maven.org/maven2/com/lihaoyi/sourcecode_2.12/0.1.4/sourcecode_2.12-0.1.4.jar"], sha256="9a3134484e596205d0acdcccd260e0854346f266cb4d24e1b8a31be54fbaf6d9") http_file(name="com.thesamet.scalapb_lenses_2.12_0.8.0-RC1", urls=["https://repo1.maven.org/maven2/com/thesamet/scalapb/lenses_2.12/0.8.0-RC1/lenses_2.12-0.8.0-RC1.jar"], sha256="6e061e15fa9f37662d89d1d0a3f4da64c73e3129108b672c792b36bf490ae8e2") http_file(name="com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", urls=["https://repo1.maven.org/maven2/com/thesamet/scalapb/scalapb-runtime_2.12/0.8.0-RC1/scalapb-runtime_2.12-0.8.0-RC1.jar"], sha256="d922c788c8997e2524a39b1f43bac3c859516fc0ae580eab82c0db7e40aef944") http_file(name="commons-codec_commons-codec_1.9", urls=["https://repo1.maven.org/maven2/commons-codec/commons-codec/1.9/commons-codec-1.9.jar"], sha256="ad19d2601c3abf0b946b5c3a4113e226a8c1e3305e395b90013b78dd94a723ce") http_file(name="commons-logging_commons-logging_1.2", urls=["https://repo1.maven.org/maven2/commons-logging/commons-logging/1.2/commons-logging-1.2.jar"], sha256="daddea1ea0be0f56978ab3006b8ac92834afeefbd9b7e4e6316fca57df0fa636") http_file(name="org.apache.httpcomponents_httpclient_4.4.1", urls=["https://repo1.maven.org/maven2/org/apache/httpcomponents/httpclient/4.4.1/httpclient-4.4.1.jar"], sha256="b2958ffb74f691e108abe69af0002ccff90ba326420596b1aab5bb0f63c31ef9") http_file(name="org.apache.httpcomponents_httpcore_4.4.1", urls=["https://repo1.maven.org/maven2/org/apache/httpcomponents/httpcore/4.4.1/httpcore-4.4.1.jar"], sha256="dd1390c17d40f760f7e51bb20523a8d63deb69e94babeaf567eb76ecd2cad422") http_file(name="org.apache.thrift_libthrift_0.10.0", urls=["https://repo1.maven.org/maven2/org/apache/thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], sha256="8591718c1884ac8001b4c5ca80f349c0a6deec691de0af720c5e3bc3a581dada") http_file(name="org.checkerframework_checker-compat-qual_2.0.0", urls=["https://repo1.maven.org/maven2/org/checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], sha256="a40b2ce6d8551e5b90b1bf637064303f32944d61b52ab2014e38699df573941b") http_file(name="org.checkerframework_checker-qual_2.11.1", urls=["https://repo1.maven.org/maven2/org/checkerframework/checker-qual/2.11.1/checker-qual-2.11.1.jar"], sha256="015224a4b1dc6de6da053273d4da7d39cfea20e63038169fc45ac0d1dc9c5938") http_file(name="org.codehaus.mojo_animal-sniffer-annotations_1.14", urls=["https://repo1.maven.org/maven2/org/codehaus/mojo/animal-sniffer-annotations/1.14/animal-sniffer-annotations-1.14.jar"], sha256="2068320bd6bad744c3673ab048f67e30bef8f518996fa380033556600669905d") http_file(name="org.scala-lang_scala-library_2.12.12", urls=["https://repo1.maven.org/maven2/org/scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], sha256="1673ffe8792021f704caddfe92067ed1ec75229907f84380ad68fe621358c925") http_file(name="org.scalameta_common_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/common_2.12/4.0.0/common_2.12-4.0.0.jar"], sha256="57f0cfa2e5c95cbf350cd089cb6799933e6fdc19b177ac8194e0d2f7bd564a7c") http_file(name="org.scalameta_dialects_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/dialects_2.12/4.0.0/dialects_2.12-4.0.0.jar"], sha256="d1486a19a438316454ff395bd6f904d2b2becc457706cd762cb50fa6306c5980") http_file(name="org.scalameta_inputs_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/inputs_2.12/4.0.0/inputs_2.12-4.0.0.jar"], sha256="0ccc21c1dbc23cc680f704b49d82ee7840d3ee2f0fd790d03ed330fda6897ef8") http_file(name="org.scalameta_io_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/io_2.12/4.0.0/io_2.12-4.0.0.jar"], sha256="8dd7baff1123c49370f44ffffeaefd86bc71d3aa919c48fba64e0b16ced8036f") http_file(name="org.scalameta_parsers_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/parsers_2.12/4.0.0/parsers_2.12-4.0.0.jar"], sha256="8315d79b922e3978e92d5e948a468e00b0c5e2de6e4381315e3b0425c006ca72") http_file(name="org.scalameta_quasiquotes_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/quasiquotes_2.12/4.0.0/quasiquotes_2.12-4.0.0.jar"], sha256="19bd420811488f6e07be39b8dc6ac8d1850476b820e460de90d3759bfba99bba") http_file(name="org.scalameta_scalameta_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], sha256="e59f985f29ef19e5ffb0a26ef6a52cceb7a43968de21b0f2c208f773ac696a1e") http_file(name="org.scalameta_semanticdb_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/semanticdb_2.12/4.0.0/semanticdb_2.12-4.0.0.jar"], sha256="77157079fd64a73938401fd9c41f2214ebe25182f98c2c5f6fbb56904f972746") http_file(name="org.scalameta_tokenizers_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/tokenizers_2.12/4.0.0/tokenizers_2.12-4.0.0.jar"], sha256="231a4aa5b6c716e0972e23935bcbb7a5e78f5b164a45e1e8bd8fbcdf613839db") http_file(name="org.scalameta_tokens_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/tokens_2.12/4.0.0/tokens_2.12-4.0.0.jar"], sha256="e703b9f64e072113ebff82af55962b1bdbed1541d99ffce329e30b682cc0d013") http_file(name="org.scalameta_transversers_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/transversers_2.12/4.0.0/transversers_2.12-4.0.0.jar"], sha256="bd3913fe90783459e38cf43a9059498cfc638c18eda633bd02ba3cdda2455611") http_file(name="org.scalameta_trees_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/trees_2.12/4.0.0/trees_2.12-4.0.0.jar"], sha256="e2573c57f3d582be2ca891a45928dd9e3b07ffdb915058b803f9da1ab6797f92") http_file(name="org.slf4j_slf4j-api_1.7.12", urls=["https://repo1.maven.org/maven2/org/slf4j/slf4j-api/1.7.12/slf4j-api-1.7.12.jar"], sha256="0aee9a77a4940d72932b0d0d9557793f872e66a03f598e473f45e7efecdccf99") """ ctx.file("jvm_deps.bzl", content, executable=False) build_content = """ load("@io_bazel_rules_scala//scala:scala_import.bzl", "scala_import") scala_import(name="3rdparty/jvm/com/google/protobuf/protobuf-java", jars=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], deps=["com.google.protobuf_protobuf-java_3.13.0_1542979766"], exports=["com.google.protobuf_protobuf-java_3.13.0_1542979766"], visibility=["//visibility:public"]) scala_import(name="3rdparty/jvm/org/apache/thrift/libthrift", jars=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], deps=["org.apache.thrift_libthrift_0.10.0_-1749481331"], exports=["org.apache.thrift_libthrift_0.10.0_-1749481331"], visibility=["//visibility:public"]) scala_import(name="3rdparty/jvm/com/google/guava/guava", jars=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], deps=["com.google.guava_guava_29.0-jre_-1012487309"], exports=["com.google.guava_guava_29.0-jre_-1012487309"], visibility=["//visibility:public"]) scala_import(name="3rdparty/jvm/org/scala-lang/scala-library", jars=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], deps=["org.scala-lang_scala-library_2.12.12_977037598"], exports=["org.scala-lang_scala-library_2.12.12_977037598"], visibility=["//visibility:public"]) scala_import(name="3rdparty/jvm/org/scalameta/scalameta", jars=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], deps=["org.scalameta_scalameta_2.12_4.0.0_1182173837"], exports=["org.scalameta_scalameta_2.12_4.0.0_1182173837"], visibility=["//visibility:public"]) scala_import(name="3rdparty/jvm/com/google/guava/guava-24", jars=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar", "@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], deps=["org.checkerframework_checker-compat-qual_2.0.0_-1693045912", "com.google.guava_guava_24.1.1-jre_-295746057"], exports=["org.checkerframework_checker-compat-qual_2.0.0_-1693045912", "com.google.guava_guava_24.1.1-jre_-295746057"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.code.findbugs_jsr305_1.3.9", srcs=["@com.google.code.findbugs_jsr305_1.3.9//file"], outs=["@maven//:com.google.code.findbugs/jsr305/1.3.9/jsr305-1.3.9.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=1.3.9"]) scala_import(name="_com.google.code.findbugs_jsr305_1.3.9", jars=["@maven//:com.google.code.findbugs/jsr305/1.3.9/jsr305-1.3.9.jar"], deps=[], exports=[], tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=1.3.9"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.code.findbugs_jsr305_3.0.2", srcs=["@com.google.code.findbugs_jsr305_3.0.2//file"], outs=["@maven//:com.google.code.findbugs/jsr305/3.0.2/jsr305-3.0.2.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=3.0.2"]) scala_import(name="_com.google.code.findbugs_jsr305_3.0.2", jars=["@maven//:com.google.code.findbugs/jsr305/3.0.2/jsr305-3.0.2.jar"], deps=[], exports=[], tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=3.0.2"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.errorprone_error_prone_annotations_2.3.4", srcs=["@com.google.errorprone_error_prone_annotations_2.3.4//file"], outs=["@maven//:com.google.errorprone/error_prone_annotations/2.3.4/error_prone_annotations-2.3.4.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.errorprone:error_prone_annotations", "jvm_version=2.3.4"]) scala_import(name="_com.google.errorprone_error_prone_annotations_2.3.4", jars=["@maven//:com.google.errorprone/error_prone_annotations/2.3.4/error_prone_annotations-2.3.4.jar"], deps=[], exports=[], tags=["jvm_module=com.google.errorprone:error_prone_annotations", "jvm_version=2.3.4"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.guava_failureaccess_1.0.1", srcs=["@com.google.guava_failureaccess_1.0.1//file"], outs=["@maven//:com.google.guava/failureaccess/1.0.1/failureaccess-1.0.1.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:failureaccess", "jvm_version=1.0.1"]) scala_import(name="_com.google.guava_failureaccess_1.0.1", jars=["@maven//:com.google.guava/failureaccess/1.0.1/failureaccess-1.0.1.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:failureaccess", "jvm_version=1.0.1"], visibility=["//visibility:public"]) scala_import(name="com.google.guava_guava_24.1.1-jre_-295746057", jars=["@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], deps=["_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3", "_com.google.code.findbugs_jsr305_1.3.9", "_org.checkerframework_checker-compat-qual_2.0.0", "_org.codehaus.mojo_animal-sniffer-annotations_1.14"], exports=["_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3", "_com.google.code.findbugs_jsr305_1.3.9", "_org.checkerframework_checker-compat-qual_2.0.0", "_org.codehaus.mojo_animal-sniffer-annotations_1.14"], tags=["jvm_module=com.google.guava:guava", "jvm_version=24.1.1-jre"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.guava_guava_24.1.1-jre", srcs=["@com.google.guava_guava_24.1.1-jre//file"], outs=["@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:guava", "jvm_version=24.1.1-jre"]) scala_import(name="_com.google.guava_guava_24.1.1-jre", jars=["@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:guava", "jvm_version=24.1.1-jre"], visibility=["//visibility:public"]) scala_import(name="com.google.guava_guava_29.0-jre_-1012487309", jars=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], deps=["_com.google.guava_failureaccess_1.0.1", "_com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", "_com.google.code.findbugs_jsr305_3.0.2", "_org.checkerframework_checker-qual_2.11.1", "_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3"], exports=["_com.google.guava_failureaccess_1.0.1", "_com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", "_com.google.code.findbugs_jsr305_3.0.2", "_org.checkerframework_checker-qual_2.11.1", "_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3"], tags=["jvm_module=com.google.guava:guava", "jvm_version=29.0-jre"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.guava_guava_29.0-jre", srcs=["@com.google.guava_guava_29.0-jre//file"], outs=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:guava", "jvm_version=29.0-jre"]) scala_import(name="_com.google.guava_guava_29.0-jre", jars=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:guava", "jvm_version=29.0-jre"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", srcs=["@com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava//file"], outs=["@maven//:com.google.guava/listenablefuture/9999.0-empty-to-avoid-conflict-with-guava/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:listenablefuture", "jvm_version=9999.0-empty-to-avoid-conflict-with-guava"]) scala_import(name="_com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", jars=["@maven//:com.google.guava/listenablefuture/9999.0-empty-to-avoid-conflict-with-guava/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:listenablefuture", "jvm_version=9999.0-empty-to-avoid-conflict-with-guava"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.j2objc_j2objc-annotations_1.3", srcs=["@com.google.j2objc_j2objc-annotations_1.3//file"], outs=["@maven//:com.google.j2objc/j2objc-annotations/1.3/j2objc-annotations-1.3.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.j2objc:j2objc-annotations", "jvm_version=1.3"]) scala_import(name="_com.google.j2objc_j2objc-annotations_1.3", jars=["@maven//:com.google.j2objc/j2objc-annotations/1.3/j2objc-annotations-1.3.jar"], deps=[], exports=[], tags=["jvm_module=com.google.j2objc:j2objc-annotations", "jvm_version=1.3"], visibility=["//visibility:public"]) scala_import(name="com.google.protobuf_protobuf-java_3.13.0_1542979766", jars=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], deps=[], exports=[], tags=["jvm_module=com.google.protobuf:protobuf-java", "jvm_version=3.13.0"], visibility=["//visibility:public"]) genrule(name="genrules/com.google.protobuf_protobuf-java_3.13.0", srcs=["@com.google.protobuf_protobuf-java_3.13.0//file"], outs=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.protobuf:protobuf-java", "jvm_version=3.13.0"]) scala_import(name="_com.google.protobuf_protobuf-java_3.13.0", jars=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], deps=[], exports=[], tags=["jvm_module=com.google.protobuf:protobuf-java", "jvm_version=3.13.0"], visibility=["//visibility:public"]) genrule(name="genrules/com.lihaoyi_fansi_2.12_0.2.5", srcs=["@com.lihaoyi_fansi_2.12_0.2.5//file"], outs=["@maven//:com.lihaoyi/fansi_2.12/0.2.5/fansi_2.12-0.2.5.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:fansi_2.12", "jvm_version=0.2.5"]) scala_import(name="_com.lihaoyi_fansi_2.12_0.2.5", jars=["@maven//:com.lihaoyi/fansi_2.12/0.2.5/fansi_2.12-0.2.5.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:fansi_2.12", "jvm_version=0.2.5"], visibility=["//visibility:public"]) genrule(name="genrules/com.lihaoyi_fastparse-utils_2.12_1.0.0", srcs=["@com.lihaoyi_fastparse-utils_2.12_1.0.0//file"], outs=["@maven//:com.lihaoyi/fastparse-utils_2.12/1.0.0/fastparse-utils_2.12-1.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:fastparse-utils_2.12", "jvm_version=1.0.0"]) scala_import(name="_com.lihaoyi_fastparse-utils_2.12_1.0.0", jars=["@maven//:com.lihaoyi/fastparse-utils_2.12/1.0.0/fastparse-utils_2.12-1.0.0.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:fastparse-utils_2.12", "jvm_version=1.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/com.lihaoyi_fastparse_2.12_1.0.0", srcs=["@com.lihaoyi_fastparse_2.12_1.0.0//file"], outs=["@maven//:com.lihaoyi/fastparse_2.12/1.0.0/fastparse_2.12-1.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:fastparse_2.12", "jvm_version=1.0.0"]) scala_import(name="_com.lihaoyi_fastparse_2.12_1.0.0", jars=["@maven//:com.lihaoyi/fastparse_2.12/1.0.0/fastparse_2.12-1.0.0.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:fastparse_2.12", "jvm_version=1.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/com.lihaoyi_pprint_2.12_0.5.3", srcs=["@com.lihaoyi_pprint_2.12_0.5.3//file"], outs=["@maven//:com.lihaoyi/pprint_2.12/0.5.3/pprint_2.12-0.5.3.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:pprint_2.12", "jvm_version=0.5.3"]) scala_import(name="_com.lihaoyi_pprint_2.12_0.5.3", jars=["@maven//:com.lihaoyi/pprint_2.12/0.5.3/pprint_2.12-0.5.3.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:pprint_2.12", "jvm_version=0.5.3"], visibility=["//visibility:public"]) genrule(name="genrules/com.lihaoyi_sourcecode_2.12_0.1.4", srcs=["@com.lihaoyi_sourcecode_2.12_0.1.4//file"], outs=["@maven//:com.lihaoyi/sourcecode_2.12/0.1.4/sourcecode_2.12-0.1.4.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:sourcecode_2.12", "jvm_version=0.1.4"]) scala_import(name="_com.lihaoyi_sourcecode_2.12_0.1.4", jars=["@maven//:com.lihaoyi/sourcecode_2.12/0.1.4/sourcecode_2.12-0.1.4.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:sourcecode_2.12", "jvm_version=0.1.4"], visibility=["//visibility:public"]) genrule(name="genrules/com.thesamet.scalapb_lenses_2.12_0.8.0-RC1", srcs=["@com.thesamet.scalapb_lenses_2.12_0.8.0-RC1//file"], outs=["@maven//:com.thesamet.scalapb/lenses_2.12/0.8.0-RC1/lenses_2.12-0.8.0-RC1.jar"], cmd="cp $< $@", tags=["jvm_module=com.thesamet.scalapb:lenses_2.12", "jvm_version=0.8.0-RC1"]) scala_import(name="_com.thesamet.scalapb_lenses_2.12_0.8.0-RC1", jars=["@maven//:com.thesamet.scalapb/lenses_2.12/0.8.0-RC1/lenses_2.12-0.8.0-RC1.jar"], deps=[], exports=[], tags=["jvm_module=com.thesamet.scalapb:lenses_2.12", "jvm_version=0.8.0-RC1"], visibility=["//visibility:public"]) genrule(name="genrules/com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", srcs=["@com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1//file"], outs=["@maven//:com.thesamet.scalapb/scalapb-runtime_2.12/0.8.0-RC1/scalapb-runtime_2.12-0.8.0-RC1.jar"], cmd="cp $< $@", tags=["jvm_module=com.thesamet.scalapb:scalapb-runtime_2.12", "jvm_version=0.8.0-RC1"]) scala_import(name="_com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", jars=["@maven//:com.thesamet.scalapb/scalapb-runtime_2.12/0.8.0-RC1/scalapb-runtime_2.12-0.8.0-RC1.jar"], deps=[], exports=[], tags=["jvm_module=com.thesamet.scalapb:scalapb-runtime_2.12", "jvm_version=0.8.0-RC1"], visibility=["//visibility:public"]) genrule(name="genrules/commons-codec_commons-codec_1.9", srcs=["@commons-codec_commons-codec_1.9//file"], outs=["@maven//:commons-codec/commons-codec/1.9/commons-codec-1.9.jar"], cmd="cp $< $@", tags=["jvm_module=commons-codec:commons-codec", "jvm_version=1.9"]) scala_import(name="_commons-codec_commons-codec_1.9", jars=["@maven//:commons-codec/commons-codec/1.9/commons-codec-1.9.jar"], deps=[], exports=[], tags=["jvm_module=commons-codec:commons-codec", "jvm_version=1.9"], visibility=["//visibility:public"]) genrule(name="genrules/commons-logging_commons-logging_1.2", srcs=["@commons-logging_commons-logging_1.2//file"], outs=["@maven//:commons-logging/commons-logging/1.2/commons-logging-1.2.jar"], cmd="cp $< $@", tags=["jvm_module=commons-logging:commons-logging", "jvm_version=1.2"]) scala_import(name="_commons-logging_commons-logging_1.2", jars=["@maven//:commons-logging/commons-logging/1.2/commons-logging-1.2.jar"], deps=[], exports=[], tags=["jvm_module=commons-logging:commons-logging", "jvm_version=1.2"], visibility=["//visibility:public"]) genrule(name="genrules/org.apache.httpcomponents_httpclient_4.4.1", srcs=["@org.apache.httpcomponents_httpclient_4.4.1//file"], outs=["@maven//:org.apache.httpcomponents/httpclient/4.4.1/httpclient-4.4.1.jar"], cmd="cp $< $@", tags=["jvm_module=org.apache.httpcomponents:httpclient", "jvm_version=4.4.1"]) scala_import(name="_org.apache.httpcomponents_httpclient_4.4.1", jars=["@maven//:org.apache.httpcomponents/httpclient/4.4.1/httpclient-4.4.1.jar"], deps=[], exports=[], tags=["jvm_module=org.apache.httpcomponents:httpclient", "jvm_version=4.4.1"], visibility=["//visibility:public"]) genrule(name="genrules/org.apache.httpcomponents_httpcore_4.4.1", srcs=["@org.apache.httpcomponents_httpcore_4.4.1//file"], outs=["@maven//:org.apache.httpcomponents/httpcore/4.4.1/httpcore-4.4.1.jar"], cmd="cp $< $@", tags=["jvm_module=org.apache.httpcomponents:httpcore", "jvm_version=4.4.1"]) scala_import(name="_org.apache.httpcomponents_httpcore_4.4.1", jars=["@maven//:org.apache.httpcomponents/httpcore/4.4.1/httpcore-4.4.1.jar"], deps=[], exports=[], tags=["jvm_module=org.apache.httpcomponents:httpcore", "jvm_version=4.4.1"], visibility=["//visibility:public"]) scala_import(name="org.apache.thrift_libthrift_0.10.0_-1749481331", jars=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], deps=["_org.slf4j_slf4j-api_1.7.12", "_org.apache.httpcomponents_httpclient_4.4.1", "_org.apache.httpcomponents_httpcore_4.4.1", "_commons-logging_commons-logging_1.2", "_commons-codec_commons-codec_1.9"], exports=["_org.slf4j_slf4j-api_1.7.12", "_org.apache.httpcomponents_httpclient_4.4.1", "_org.apache.httpcomponents_httpcore_4.4.1", "_commons-logging_commons-logging_1.2", "_commons-codec_commons-codec_1.9"], tags=["jvm_module=org.apache.thrift:libthrift", "jvm_version=0.10.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.apache.thrift_libthrift_0.10.0", srcs=["@org.apache.thrift_libthrift_0.10.0//file"], outs=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.apache.thrift:libthrift", "jvm_version=0.10.0"]) scala_import(name="_org.apache.thrift_libthrift_0.10.0", jars=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], deps=[], exports=[], tags=["jvm_module=org.apache.thrift:libthrift", "jvm_version=0.10.0"], visibility=["//visibility:public"]) scala_import(name="org.checkerframework_checker-compat-qual_2.0.0_-1693045912", jars=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.checkerframework:checker-compat-qual", "jvm_version=2.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.checkerframework_checker-compat-qual_2.0.0", srcs=["@org.checkerframework_checker-compat-qual_2.0.0//file"], outs=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.checkerframework:checker-compat-qual", "jvm_version=2.0.0"]) scala_import(name="_org.checkerframework_checker-compat-qual_2.0.0", jars=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.checkerframework:checker-compat-qual", "jvm_version=2.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.checkerframework_checker-qual_2.11.1", srcs=["@org.checkerframework_checker-qual_2.11.1//file"], outs=["@maven//:org.checkerframework/checker-qual/2.11.1/checker-qual-2.11.1.jar"], cmd="cp $< $@", tags=["jvm_module=org.checkerframework:checker-qual", "jvm_version=2.11.1"]) scala_import(name="_org.checkerframework_checker-qual_2.11.1", jars=["@maven//:org.checkerframework/checker-qual/2.11.1/checker-qual-2.11.1.jar"], deps=[], exports=[], tags=["jvm_module=org.checkerframework:checker-qual", "jvm_version=2.11.1"], visibility=["//visibility:public"]) genrule(name="genrules/org.codehaus.mojo_animal-sniffer-annotations_1.14", srcs=["@org.codehaus.mojo_animal-sniffer-annotations_1.14//file"], outs=["@maven//:org.codehaus.mojo/animal-sniffer-annotations/1.14/animal-sniffer-annotations-1.14.jar"], cmd="cp $< $@", tags=["jvm_module=org.codehaus.mojo:animal-sniffer-annotations", "jvm_version=1.14"]) scala_import(name="_org.codehaus.mojo_animal-sniffer-annotations_1.14", jars=["@maven//:org.codehaus.mojo/animal-sniffer-annotations/1.14/animal-sniffer-annotations-1.14.jar"], deps=[], exports=[], tags=["jvm_module=org.codehaus.mojo:animal-sniffer-annotations", "jvm_version=1.14"], visibility=["//visibility:public"]) scala_import(name="org.scala-lang_scala-library_2.12.12_977037598", jars=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], deps=[], exports=[], tags=["jvm_module=org.scala-lang:scala-library", "jvm_version=2.12.12"], visibility=["//visibility:public"]) genrule(name="genrules/org.scala-lang_scala-library_2.12.12", srcs=["@org.scala-lang_scala-library_2.12.12//file"], outs=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], cmd="cp $< $@", tags=["jvm_module=org.scala-lang:scala-library", "jvm_version=2.12.12"]) scala_import(name="_org.scala-lang_scala-library_2.12.12", jars=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], deps=[], exports=[], tags=["jvm_module=org.scala-lang:scala-library", "jvm_version=2.12.12"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_common_2.12_4.0.0", srcs=["@org.scalameta_common_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/common_2.12/4.0.0/common_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:common_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_common_2.12_4.0.0", jars=["@maven//:org.scalameta/common_2.12/4.0.0/common_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:common_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_dialects_2.12_4.0.0", srcs=["@org.scalameta_dialects_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/dialects_2.12/4.0.0/dialects_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:dialects_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_dialects_2.12_4.0.0", jars=["@maven//:org.scalameta/dialects_2.12/4.0.0/dialects_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:dialects_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_inputs_2.12_4.0.0", srcs=["@org.scalameta_inputs_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/inputs_2.12/4.0.0/inputs_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:inputs_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_inputs_2.12_4.0.0", jars=["@maven//:org.scalameta/inputs_2.12/4.0.0/inputs_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:inputs_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_io_2.12_4.0.0", srcs=["@org.scalameta_io_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/io_2.12/4.0.0/io_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:io_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_io_2.12_4.0.0", jars=["@maven//:org.scalameta/io_2.12/4.0.0/io_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:io_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_parsers_2.12_4.0.0", srcs=["@org.scalameta_parsers_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/parsers_2.12/4.0.0/parsers_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:parsers_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_parsers_2.12_4.0.0", jars=["@maven//:org.scalameta/parsers_2.12/4.0.0/parsers_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:parsers_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_quasiquotes_2.12_4.0.0", srcs=["@org.scalameta_quasiquotes_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/quasiquotes_2.12/4.0.0/quasiquotes_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:quasiquotes_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_quasiquotes_2.12_4.0.0", jars=["@maven//:org.scalameta/quasiquotes_2.12/4.0.0/quasiquotes_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:quasiquotes_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) scala_import(name="org.scalameta_scalameta_2.12_4.0.0_1182173837", jars=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], deps=["_org.scala-lang_scala-library_2.12.12", "_com.google.protobuf_protobuf-java_3.13.0", "_org.scalameta_common_2.12_4.0.0", "_org.scalameta_dialects_2.12_4.0.0", "_org.scalameta_parsers_2.12_4.0.0", "_org.scalameta_quasiquotes_2.12_4.0.0", "_org.scalameta_tokenizers_2.12_4.0.0", "_org.scalameta_transversers_2.12_4.0.0", "_org.scalameta_trees_2.12_4.0.0", "_org.scalameta_inputs_2.12_4.0.0", "_org.scalameta_io_2.12_4.0.0", "_com.lihaoyi_pprint_2.12_0.5.3", "_org.scalameta_semanticdb_2.12_4.0.0", "_com.lihaoyi_sourcecode_2.12_0.1.4", "_org.scalameta_tokens_2.12_4.0.0", "_com.lihaoyi_fastparse_2.12_1.0.0", "_com.lihaoyi_fansi_2.12_0.2.5", "_com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", "_com.lihaoyi_fastparse-utils_2.12_1.0.0", "_com.thesamet.scalapb_lenses_2.12_0.8.0-RC1"], exports=["_org.scala-lang_scala-library_2.12.12", "_com.google.protobuf_protobuf-java_3.13.0", "_org.scalameta_common_2.12_4.0.0", "_org.scalameta_dialects_2.12_4.0.0", "_org.scalameta_parsers_2.12_4.0.0", "_org.scalameta_quasiquotes_2.12_4.0.0", "_org.scalameta_tokenizers_2.12_4.0.0", "_org.scalameta_transversers_2.12_4.0.0", "_org.scalameta_trees_2.12_4.0.0", "_org.scalameta_inputs_2.12_4.0.0", "_org.scalameta_io_2.12_4.0.0", "_com.lihaoyi_pprint_2.12_0.5.3", "_org.scalameta_semanticdb_2.12_4.0.0", "_com.lihaoyi_sourcecode_2.12_0.1.4", "_org.scalameta_tokens_2.12_4.0.0", "_com.lihaoyi_fastparse_2.12_1.0.0", "_com.lihaoyi_fansi_2.12_0.2.5", "_com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", "_com.lihaoyi_fastparse-utils_2.12_1.0.0", "_com.thesamet.scalapb_lenses_2.12_0.8.0-RC1"], tags=["jvm_module=org.scalameta:scalameta_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_scalameta_2.12_4.0.0", srcs=["@org.scalameta_scalameta_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:scalameta_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_scalameta_2.12_4.0.0", jars=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:scalameta_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_semanticdb_2.12_4.0.0", srcs=["@org.scalameta_semanticdb_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/semanticdb_2.12/4.0.0/semanticdb_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:semanticdb_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_semanticdb_2.12_4.0.0", jars=["@maven//:org.scalameta/semanticdb_2.12/4.0.0/semanticdb_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:semanticdb_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_tokenizers_2.12_4.0.0", srcs=["@org.scalameta_tokenizers_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/tokenizers_2.12/4.0.0/tokenizers_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:tokenizers_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_tokenizers_2.12_4.0.0", jars=["@maven//:org.scalameta/tokenizers_2.12/4.0.0/tokenizers_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:tokenizers_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_tokens_2.12_4.0.0", srcs=["@org.scalameta_tokens_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/tokens_2.12/4.0.0/tokens_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:tokens_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_tokens_2.12_4.0.0", jars=["@maven//:org.scalameta/tokens_2.12/4.0.0/tokens_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:tokens_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_transversers_2.12_4.0.0", srcs=["@org.scalameta_transversers_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/transversers_2.12/4.0.0/transversers_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:transversers_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_transversers_2.12_4.0.0", jars=["@maven//:org.scalameta/transversers_2.12/4.0.0/transversers_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:transversers_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.scalameta_trees_2.12_4.0.0", srcs=["@org.scalameta_trees_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/trees_2.12/4.0.0/trees_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:trees_2.12", "jvm_version=4.0.0"]) scala_import(name="_org.scalameta_trees_2.12_4.0.0", jars=["@maven//:org.scalameta/trees_2.12/4.0.0/trees_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:trees_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"]) genrule(name="genrules/org.slf4j_slf4j-api_1.7.12", srcs=["@org.slf4j_slf4j-api_1.7.12//file"], outs=["@maven//:org.slf4j/slf4j-api/1.7.12/slf4j-api-1.7.12.jar"], cmd="cp $< $@", tags=["jvm_module=org.slf4j:slf4j-api", "jvm_version=1.7.12"]) scala_import(name="_org.slf4j_slf4j-api_1.7.12", jars=["@maven//:org.slf4j/slf4j-api/1.7.12/slf4j-api-1.7.12.jar"], deps=[], exports=[], tags=["jvm_module=org.slf4j:slf4j-api", "jvm_version=1.7.12"], visibility=["//visibility:public"]) """ ctx.file("BUILD", build_content, executable=False) jvm_deps_rule = repository_rule( implementation=_jvm_deps_impl, ) def jvm_deps(): jvm_deps_rule(name="maven")

def _jvm_deps_impl(ctx): content = '\nload("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")\n\ndef load_jvm_deps():\n http_file(name="com.google.code.findbugs_jsr305_1.3.9", urls=["https://repo1.maven.org/maven2/com/google/code/findbugs/jsr305/1.3.9/jsr305-1.3.9.jar"], sha256="905721a0eea90a81534abb7ee6ef4ea2e5e645fa1def0a5cd88402df1b46c9ed")\n http_file(name="com.google.code.findbugs_jsr305_3.0.2", urls=["https://repo1.maven.org/maven2/com/google/code/findbugs/jsr305/3.0.2/jsr305-3.0.2.jar"], sha256="766ad2a0783f2687962c8ad74ceecc38a28b9f72a2d085ee438b7813e928d0c7")\n http_file(name="com.google.errorprone_error_prone_annotations_2.3.4", urls=["https://repo1.maven.org/maven2/com/google/errorprone/error_prone_annotations/2.3.4/error_prone_annotations-2.3.4.jar"], sha256="baf7d6ea97ce606c53e11b6854ba5f2ce7ef5c24dddf0afa18d1260bd25b002c")\n http_file(name="com.google.guava_failureaccess_1.0.1", urls=["https://repo1.maven.org/maven2/com/google/guava/failureaccess/1.0.1/failureaccess-1.0.1.jar"], sha256="a171ee4c734dd2da837e4b16be9df4661afab72a41adaf31eb84dfdaf936ca26")\n http_file(name="com.google.guava_guava_24.1.1-jre", urls=["https://repo1.maven.org/maven2/com/google/guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], sha256="490c16878c7a2c22e136728ad473c4190b21b82b46e261ba84ad2e4a5c28fbcf")\n http_file(name="com.google.guava_guava_29.0-jre", urls=["https://repo1.maven.org/maven2/com/google/guava/guava/29.0-jre/guava-29.0-jre.jar"], sha256="b22c5fb66d61e7b9522531d04b2f915b5158e80aa0b40ee7282c8bfb07b0da25")\n http_file(name="com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", urls=["https://repo1.maven.org/maven2/com/google/guava/listenablefuture/9999.0-empty-to-avoid-conflict-with-guava/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar"], sha256="b372a037d4230aa57fbeffdef30fd6123f9c0c2db85d0aced00c91b974f33f99")\n http_file(name="com.google.j2objc_j2objc-annotations_1.3", urls=["https://repo1.maven.org/maven2/com/google/j2objc/j2objc-annotations/1.3/j2objc-annotations-1.3.jar"], sha256="21af30c92267bd6122c0e0b4d20cccb6641a37eaf956c6540ec471d584e64a7b")\n http_file(name="com.google.protobuf_protobuf-java_3.13.0", urls=["https://repo1.maven.org/maven2/com/google/protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], sha256="97d5b2758408690c0dc276238707492a0b6a4d71206311b6c442cdc26c5973ff")\n http_file(name="com.lihaoyi_fansi_2.12_0.2.5", urls=["https://repo1.maven.org/maven2/com/lihaoyi/fansi_2.12/0.2.5/fansi_2.12-0.2.5.jar"], sha256="7d752240ec724e7370903c25b69088922fa3fb6831365db845cd72498f826eca")\n http_file(name="com.lihaoyi_fastparse-utils_2.12_1.0.0", urls=["https://repo1.maven.org/maven2/com/lihaoyi/fastparse-utils_2.12/1.0.0/fastparse-utils_2.12-1.0.0.jar"], sha256="fb6cd6484e21459e11fcd45f22f07ad75e3cb29eca0650b39aa388d13c8e7d0a")\n http_file(name="com.lihaoyi_fastparse_2.12_1.0.0", urls=["https://repo1.maven.org/maven2/com/lihaoyi/fastparse_2.12/1.0.0/fastparse_2.12-1.0.0.jar"], sha256="1227a00a26a4ad76ddcfa6eae2416687df7f3c039553d586324b32ba0a528fcc")\n http_file(name="com.lihaoyi_pprint_2.12_0.5.3", urls=["https://repo1.maven.org/maven2/com/lihaoyi/pprint_2.12/0.5.3/pprint_2.12-0.5.3.jar"], sha256="2e18aa0884870537bf5c562255fc759d4ebe360882b5cb2141b30eda4034c71d")\n http_file(name="com.lihaoyi_sourcecode_2.12_0.1.4", urls=["https://repo1.maven.org/maven2/com/lihaoyi/sourcecode_2.12/0.1.4/sourcecode_2.12-0.1.4.jar"], sha256="9a3134484e596205d0acdcccd260e0854346f266cb4d24e1b8a31be54fbaf6d9")\n http_file(name="com.thesamet.scalapb_lenses_2.12_0.8.0-RC1", urls=["https://repo1.maven.org/maven2/com/thesamet/scalapb/lenses_2.12/0.8.0-RC1/lenses_2.12-0.8.0-RC1.jar"], sha256="6e061e15fa9f37662d89d1d0a3f4da64c73e3129108b672c792b36bf490ae8e2")\n http_file(name="com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", urls=["https://repo1.maven.org/maven2/com/thesamet/scalapb/scalapb-runtime_2.12/0.8.0-RC1/scalapb-runtime_2.12-0.8.0-RC1.jar"], sha256="d922c788c8997e2524a39b1f43bac3c859516fc0ae580eab82c0db7e40aef944")\n http_file(name="commons-codec_commons-codec_1.9", urls=["https://repo1.maven.org/maven2/commons-codec/commons-codec/1.9/commons-codec-1.9.jar"], sha256="ad19d2601c3abf0b946b5c3a4113e226a8c1e3305e395b90013b78dd94a723ce")\n http_file(name="commons-logging_commons-logging_1.2", urls=["https://repo1.maven.org/maven2/commons-logging/commons-logging/1.2/commons-logging-1.2.jar"], sha256="daddea1ea0be0f56978ab3006b8ac92834afeefbd9b7e4e6316fca57df0fa636")\n http_file(name="org.apache.httpcomponents_httpclient_4.4.1", urls=["https://repo1.maven.org/maven2/org/apache/httpcomponents/httpclient/4.4.1/httpclient-4.4.1.jar"], sha256="b2958ffb74f691e108abe69af0002ccff90ba326420596b1aab5bb0f63c31ef9")\n http_file(name="org.apache.httpcomponents_httpcore_4.4.1", urls=["https://repo1.maven.org/maven2/org/apache/httpcomponents/httpcore/4.4.1/httpcore-4.4.1.jar"], sha256="dd1390c17d40f760f7e51bb20523a8d63deb69e94babeaf567eb76ecd2cad422")\n http_file(name="org.apache.thrift_libthrift_0.10.0", urls=["https://repo1.maven.org/maven2/org/apache/thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], sha256="8591718c1884ac8001b4c5ca80f349c0a6deec691de0af720c5e3bc3a581dada")\n http_file(name="org.checkerframework_checker-compat-qual_2.0.0", urls=["https://repo1.maven.org/maven2/org/checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], sha256="a40b2ce6d8551e5b90b1bf637064303f32944d61b52ab2014e38699df573941b")\n http_file(name="org.checkerframework_checker-qual_2.11.1", urls=["https://repo1.maven.org/maven2/org/checkerframework/checker-qual/2.11.1/checker-qual-2.11.1.jar"], sha256="015224a4b1dc6de6da053273d4da7d39cfea20e63038169fc45ac0d1dc9c5938")\n http_file(name="org.codehaus.mojo_animal-sniffer-annotations_1.14", urls=["https://repo1.maven.org/maven2/org/codehaus/mojo/animal-sniffer-annotations/1.14/animal-sniffer-annotations-1.14.jar"], sha256="2068320bd6bad744c3673ab048f67e30bef8f518996fa380033556600669905d")\n http_file(name="org.scala-lang_scala-library_2.12.12", urls=["https://repo1.maven.org/maven2/org/scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], sha256="1673ffe8792021f704caddfe92067ed1ec75229907f84380ad68fe621358c925")\n http_file(name="org.scalameta_common_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/common_2.12/4.0.0/common_2.12-4.0.0.jar"], sha256="57f0cfa2e5c95cbf350cd089cb6799933e6fdc19b177ac8194e0d2f7bd564a7c")\n http_file(name="org.scalameta_dialects_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/dialects_2.12/4.0.0/dialects_2.12-4.0.0.jar"], sha256="d1486a19a438316454ff395bd6f904d2b2becc457706cd762cb50fa6306c5980")\n http_file(name="org.scalameta_inputs_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/inputs_2.12/4.0.0/inputs_2.12-4.0.0.jar"], sha256="0ccc21c1dbc23cc680f704b49d82ee7840d3ee2f0fd790d03ed330fda6897ef8")\n http_file(name="org.scalameta_io_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/io_2.12/4.0.0/io_2.12-4.0.0.jar"], sha256="8dd7baff1123c49370f44ffffeaefd86bc71d3aa919c48fba64e0b16ced8036f")\n http_file(name="org.scalameta_parsers_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/parsers_2.12/4.0.0/parsers_2.12-4.0.0.jar"], sha256="8315d79b922e3978e92d5e948a468e00b0c5e2de6e4381315e3b0425c006ca72")\n http_file(name="org.scalameta_quasiquotes_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/quasiquotes_2.12/4.0.0/quasiquotes_2.12-4.0.0.jar"], sha256="19bd420811488f6e07be39b8dc6ac8d1850476b820e460de90d3759bfba99bba")\n http_file(name="org.scalameta_scalameta_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], sha256="e59f985f29ef19e5ffb0a26ef6a52cceb7a43968de21b0f2c208f773ac696a1e")\n http_file(name="org.scalameta_semanticdb_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/semanticdb_2.12/4.0.0/semanticdb_2.12-4.0.0.jar"], sha256="77157079fd64a73938401fd9c41f2214ebe25182f98c2c5f6fbb56904f972746")\n http_file(name="org.scalameta_tokenizers_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/tokenizers_2.12/4.0.0/tokenizers_2.12-4.0.0.jar"], sha256="231a4aa5b6c716e0972e23935bcbb7a5e78f5b164a45e1e8bd8fbcdf613839db")\n http_file(name="org.scalameta_tokens_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/tokens_2.12/4.0.0/tokens_2.12-4.0.0.jar"], sha256="e703b9f64e072113ebff82af55962b1bdbed1541d99ffce329e30b682cc0d013")\n http_file(name="org.scalameta_transversers_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/transversers_2.12/4.0.0/transversers_2.12-4.0.0.jar"], sha256="bd3913fe90783459e38cf43a9059498cfc638c18eda633bd02ba3cdda2455611")\n http_file(name="org.scalameta_trees_2.12_4.0.0", urls=["https://repo1.maven.org/maven2/org/scalameta/trees_2.12/4.0.0/trees_2.12-4.0.0.jar"], sha256="e2573c57f3d582be2ca891a45928dd9e3b07ffdb915058b803f9da1ab6797f92")\n http_file(name="org.slf4j_slf4j-api_1.7.12", urls=["https://repo1.maven.org/maven2/org/slf4j/slf4j-api/1.7.12/slf4j-api-1.7.12.jar"], sha256="0aee9a77a4940d72932b0d0d9557793f872e66a03f598e473f45e7efecdccf99")\n\n' ctx.file('jvm_deps.bzl', content, executable=False) build_content = '\nload("@io_bazel_rules_scala//scala:scala_import.bzl", "scala_import")\n\nscala_import(name="3rdparty/jvm/com/google/protobuf/protobuf-java", jars=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], deps=["com.google.protobuf_protobuf-java_3.13.0_1542979766"], exports=["com.google.protobuf_protobuf-java_3.13.0_1542979766"], visibility=["//visibility:public"])\n\nscala_import(name="3rdparty/jvm/org/apache/thrift/libthrift", jars=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], deps=["org.apache.thrift_libthrift_0.10.0_-1749481331"], exports=["org.apache.thrift_libthrift_0.10.0_-1749481331"], visibility=["//visibility:public"])\n\nscala_import(name="3rdparty/jvm/com/google/guava/guava", jars=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], deps=["com.google.guava_guava_29.0-jre_-1012487309"], exports=["com.google.guava_guava_29.0-jre_-1012487309"], visibility=["//visibility:public"])\n\nscala_import(name="3rdparty/jvm/org/scala-lang/scala-library", jars=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], deps=["org.scala-lang_scala-library_2.12.12_977037598"], exports=["org.scala-lang_scala-library_2.12.12_977037598"], visibility=["//visibility:public"])\n\nscala_import(name="3rdparty/jvm/org/scalameta/scalameta", jars=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], deps=["org.scalameta_scalameta_2.12_4.0.0_1182173837"], exports=["org.scalameta_scalameta_2.12_4.0.0_1182173837"], visibility=["//visibility:public"])\n\nscala_import(name="3rdparty/jvm/com/google/guava/guava-24", jars=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar", "@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], deps=["org.checkerframework_checker-compat-qual_2.0.0_-1693045912", "com.google.guava_guava_24.1.1-jre_-295746057"], exports=["org.checkerframework_checker-compat-qual_2.0.0_-1693045912", "com.google.guava_guava_24.1.1-jre_-295746057"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.google.code.findbugs_jsr305_1.3.9", srcs=["@com.google.code.findbugs_jsr305_1.3.9//file"], outs=["@maven//:com.google.code.findbugs/jsr305/1.3.9/jsr305-1.3.9.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=1.3.9"])\nscala_import(name="_com.google.code.findbugs_jsr305_1.3.9", jars=["@maven//:com.google.code.findbugs/jsr305/1.3.9/jsr305-1.3.9.jar"], deps=[], exports=[], tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=1.3.9"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.google.code.findbugs_jsr305_3.0.2", srcs=["@com.google.code.findbugs_jsr305_3.0.2//file"], outs=["@maven//:com.google.code.findbugs/jsr305/3.0.2/jsr305-3.0.2.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=3.0.2"])\nscala_import(name="_com.google.code.findbugs_jsr305_3.0.2", jars=["@maven//:com.google.code.findbugs/jsr305/3.0.2/jsr305-3.0.2.jar"], deps=[], exports=[], tags=["jvm_module=com.google.code.findbugs:jsr305", "jvm_version=3.0.2"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.google.errorprone_error_prone_annotations_2.3.4", srcs=["@com.google.errorprone_error_prone_annotations_2.3.4//file"], outs=["@maven//:com.google.errorprone/error_prone_annotations/2.3.4/error_prone_annotations-2.3.4.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.errorprone:error_prone_annotations", "jvm_version=2.3.4"])\nscala_import(name="_com.google.errorprone_error_prone_annotations_2.3.4", jars=["@maven//:com.google.errorprone/error_prone_annotations/2.3.4/error_prone_annotations-2.3.4.jar"], deps=[], exports=[], tags=["jvm_module=com.google.errorprone:error_prone_annotations", "jvm_version=2.3.4"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.google.guava_failureaccess_1.0.1", srcs=["@com.google.guava_failureaccess_1.0.1//file"], outs=["@maven//:com.google.guava/failureaccess/1.0.1/failureaccess-1.0.1.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:failureaccess", "jvm_version=1.0.1"])\nscala_import(name="_com.google.guava_failureaccess_1.0.1", jars=["@maven//:com.google.guava/failureaccess/1.0.1/failureaccess-1.0.1.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:failureaccess", "jvm_version=1.0.1"], visibility=["//visibility:public"])\n\nscala_import(name="com.google.guava_guava_24.1.1-jre_-295746057", jars=["@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], deps=["_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3", "_com.google.code.findbugs_jsr305_1.3.9", "_org.checkerframework_checker-compat-qual_2.0.0", "_org.codehaus.mojo_animal-sniffer-annotations_1.14"], exports=["_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3", "_com.google.code.findbugs_jsr305_1.3.9", "_org.checkerframework_checker-compat-qual_2.0.0", "_org.codehaus.mojo_animal-sniffer-annotations_1.14"], tags=["jvm_module=com.google.guava:guava", "jvm_version=24.1.1-jre"], visibility=["//visibility:public"])\ngenrule(name="genrules/com.google.guava_guava_24.1.1-jre", srcs=["@com.google.guava_guava_24.1.1-jre//file"], outs=["@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:guava", "jvm_version=24.1.1-jre"])\nscala_import(name="_com.google.guava_guava_24.1.1-jre", jars=["@maven//:com.google.guava/guava/24.1.1-jre/guava-24.1.1-jre.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:guava", "jvm_version=24.1.1-jre"], visibility=["//visibility:public"])\n\nscala_import(name="com.google.guava_guava_29.0-jre_-1012487309", jars=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], deps=["_com.google.guava_failureaccess_1.0.1", "_com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", "_com.google.code.findbugs_jsr305_3.0.2", "_org.checkerframework_checker-qual_2.11.1", "_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3"], exports=["_com.google.guava_failureaccess_1.0.1", "_com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", "_com.google.code.findbugs_jsr305_3.0.2", "_org.checkerframework_checker-qual_2.11.1", "_com.google.errorprone_error_prone_annotations_2.3.4", "_com.google.j2objc_j2objc-annotations_1.3"], tags=["jvm_module=com.google.guava:guava", "jvm_version=29.0-jre"], visibility=["//visibility:public"])\ngenrule(name="genrules/com.google.guava_guava_29.0-jre", srcs=["@com.google.guava_guava_29.0-jre//file"], outs=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:guava", "jvm_version=29.0-jre"])\nscala_import(name="_com.google.guava_guava_29.0-jre", jars=["@maven//:com.google.guava/guava/29.0-jre/guava-29.0-jre.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:guava", "jvm_version=29.0-jre"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", srcs=["@com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava//file"], outs=["@maven//:com.google.guava/listenablefuture/9999.0-empty-to-avoid-conflict-with-guava/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.guava:listenablefuture", "jvm_version=9999.0-empty-to-avoid-conflict-with-guava"])\nscala_import(name="_com.google.guava_listenablefuture_9999.0-empty-to-avoid-conflict-with-guava", jars=["@maven//:com.google.guava/listenablefuture/9999.0-empty-to-avoid-conflict-with-guava/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar"], deps=[], exports=[], tags=["jvm_module=com.google.guava:listenablefuture", "jvm_version=9999.0-empty-to-avoid-conflict-with-guava"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.google.j2objc_j2objc-annotations_1.3", srcs=["@com.google.j2objc_j2objc-annotations_1.3//file"], outs=["@maven//:com.google.j2objc/j2objc-annotations/1.3/j2objc-annotations-1.3.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.j2objc:j2objc-annotations", "jvm_version=1.3"])\nscala_import(name="_com.google.j2objc_j2objc-annotations_1.3", jars=["@maven//:com.google.j2objc/j2objc-annotations/1.3/j2objc-annotations-1.3.jar"], deps=[], exports=[], tags=["jvm_module=com.google.j2objc:j2objc-annotations", "jvm_version=1.3"], visibility=["//visibility:public"])\n\nscala_import(name="com.google.protobuf_protobuf-java_3.13.0_1542979766", jars=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], deps=[], exports=[], tags=["jvm_module=com.google.protobuf:protobuf-java", "jvm_version=3.13.0"], visibility=["//visibility:public"])\ngenrule(name="genrules/com.google.protobuf_protobuf-java_3.13.0", srcs=["@com.google.protobuf_protobuf-java_3.13.0//file"], outs=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], cmd="cp $< $@", tags=["jvm_module=com.google.protobuf:protobuf-java", "jvm_version=3.13.0"])\nscala_import(name="_com.google.protobuf_protobuf-java_3.13.0", jars=["@maven//:com.google.protobuf/protobuf-java/3.13.0/protobuf-java-3.13.0.jar"], deps=[], exports=[], tags=["jvm_module=com.google.protobuf:protobuf-java", "jvm_version=3.13.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.lihaoyi_fansi_2.12_0.2.5", srcs=["@com.lihaoyi_fansi_2.12_0.2.5//file"], outs=["@maven//:com.lihaoyi/fansi_2.12/0.2.5/fansi_2.12-0.2.5.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:fansi_2.12", "jvm_version=0.2.5"])\nscala_import(name="_com.lihaoyi_fansi_2.12_0.2.5", jars=["@maven//:com.lihaoyi/fansi_2.12/0.2.5/fansi_2.12-0.2.5.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:fansi_2.12", "jvm_version=0.2.5"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.lihaoyi_fastparse-utils_2.12_1.0.0", srcs=["@com.lihaoyi_fastparse-utils_2.12_1.0.0//file"], outs=["@maven//:com.lihaoyi/fastparse-utils_2.12/1.0.0/fastparse-utils_2.12-1.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:fastparse-utils_2.12", "jvm_version=1.0.0"])\nscala_import(name="_com.lihaoyi_fastparse-utils_2.12_1.0.0", jars=["@maven//:com.lihaoyi/fastparse-utils_2.12/1.0.0/fastparse-utils_2.12-1.0.0.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:fastparse-utils_2.12", "jvm_version=1.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.lihaoyi_fastparse_2.12_1.0.0", srcs=["@com.lihaoyi_fastparse_2.12_1.0.0//file"], outs=["@maven//:com.lihaoyi/fastparse_2.12/1.0.0/fastparse_2.12-1.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:fastparse_2.12", "jvm_version=1.0.0"])\nscala_import(name="_com.lihaoyi_fastparse_2.12_1.0.0", jars=["@maven//:com.lihaoyi/fastparse_2.12/1.0.0/fastparse_2.12-1.0.0.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:fastparse_2.12", "jvm_version=1.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.lihaoyi_pprint_2.12_0.5.3", srcs=["@com.lihaoyi_pprint_2.12_0.5.3//file"], outs=["@maven//:com.lihaoyi/pprint_2.12/0.5.3/pprint_2.12-0.5.3.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:pprint_2.12", "jvm_version=0.5.3"])\nscala_import(name="_com.lihaoyi_pprint_2.12_0.5.3", jars=["@maven//:com.lihaoyi/pprint_2.12/0.5.3/pprint_2.12-0.5.3.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:pprint_2.12", "jvm_version=0.5.3"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.lihaoyi_sourcecode_2.12_0.1.4", srcs=["@com.lihaoyi_sourcecode_2.12_0.1.4//file"], outs=["@maven//:com.lihaoyi/sourcecode_2.12/0.1.4/sourcecode_2.12-0.1.4.jar"], cmd="cp $< $@", tags=["jvm_module=com.lihaoyi:sourcecode_2.12", "jvm_version=0.1.4"])\nscala_import(name="_com.lihaoyi_sourcecode_2.12_0.1.4", jars=["@maven//:com.lihaoyi/sourcecode_2.12/0.1.4/sourcecode_2.12-0.1.4.jar"], deps=[], exports=[], tags=["jvm_module=com.lihaoyi:sourcecode_2.12", "jvm_version=0.1.4"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.thesamet.scalapb_lenses_2.12_0.8.0-RC1", srcs=["@com.thesamet.scalapb_lenses_2.12_0.8.0-RC1//file"], outs=["@maven//:com.thesamet.scalapb/lenses_2.12/0.8.0-RC1/lenses_2.12-0.8.0-RC1.jar"], cmd="cp $< $@", tags=["jvm_module=com.thesamet.scalapb:lenses_2.12", "jvm_version=0.8.0-RC1"])\nscala_import(name="_com.thesamet.scalapb_lenses_2.12_0.8.0-RC1", jars=["@maven//:com.thesamet.scalapb/lenses_2.12/0.8.0-RC1/lenses_2.12-0.8.0-RC1.jar"], deps=[], exports=[], tags=["jvm_module=com.thesamet.scalapb:lenses_2.12", "jvm_version=0.8.0-RC1"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", srcs=["@com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1//file"], outs=["@maven//:com.thesamet.scalapb/scalapb-runtime_2.12/0.8.0-RC1/scalapb-runtime_2.12-0.8.0-RC1.jar"], cmd="cp $< $@", tags=["jvm_module=com.thesamet.scalapb:scalapb-runtime_2.12", "jvm_version=0.8.0-RC1"])\nscala_import(name="_com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", jars=["@maven//:com.thesamet.scalapb/scalapb-runtime_2.12/0.8.0-RC1/scalapb-runtime_2.12-0.8.0-RC1.jar"], deps=[], exports=[], tags=["jvm_module=com.thesamet.scalapb:scalapb-runtime_2.12", "jvm_version=0.8.0-RC1"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/commons-codec_commons-codec_1.9", srcs=["@commons-codec_commons-codec_1.9//file"], outs=["@maven//:commons-codec/commons-codec/1.9/commons-codec-1.9.jar"], cmd="cp $< $@", tags=["jvm_module=commons-codec:commons-codec", "jvm_version=1.9"])\nscala_import(name="_commons-codec_commons-codec_1.9", jars=["@maven//:commons-codec/commons-codec/1.9/commons-codec-1.9.jar"], deps=[], exports=[], tags=["jvm_module=commons-codec:commons-codec", "jvm_version=1.9"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/commons-logging_commons-logging_1.2", srcs=["@commons-logging_commons-logging_1.2//file"], outs=["@maven//:commons-logging/commons-logging/1.2/commons-logging-1.2.jar"], cmd="cp $< $@", tags=["jvm_module=commons-logging:commons-logging", "jvm_version=1.2"])\nscala_import(name="_commons-logging_commons-logging_1.2", jars=["@maven//:commons-logging/commons-logging/1.2/commons-logging-1.2.jar"], deps=[], exports=[], tags=["jvm_module=commons-logging:commons-logging", "jvm_version=1.2"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.apache.httpcomponents_httpclient_4.4.1", srcs=["@org.apache.httpcomponents_httpclient_4.4.1//file"], outs=["@maven//:org.apache.httpcomponents/httpclient/4.4.1/httpclient-4.4.1.jar"], cmd="cp $< $@", tags=["jvm_module=org.apache.httpcomponents:httpclient", "jvm_version=4.4.1"])\nscala_import(name="_org.apache.httpcomponents_httpclient_4.4.1", jars=["@maven//:org.apache.httpcomponents/httpclient/4.4.1/httpclient-4.4.1.jar"], deps=[], exports=[], tags=["jvm_module=org.apache.httpcomponents:httpclient", "jvm_version=4.4.1"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.apache.httpcomponents_httpcore_4.4.1", srcs=["@org.apache.httpcomponents_httpcore_4.4.1//file"], outs=["@maven//:org.apache.httpcomponents/httpcore/4.4.1/httpcore-4.4.1.jar"], cmd="cp $< $@", tags=["jvm_module=org.apache.httpcomponents:httpcore", "jvm_version=4.4.1"])\nscala_import(name="_org.apache.httpcomponents_httpcore_4.4.1", jars=["@maven//:org.apache.httpcomponents/httpcore/4.4.1/httpcore-4.4.1.jar"], deps=[], exports=[], tags=["jvm_module=org.apache.httpcomponents:httpcore", "jvm_version=4.4.1"], visibility=["//visibility:public"])\n\nscala_import(name="org.apache.thrift_libthrift_0.10.0_-1749481331", jars=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], deps=["_org.slf4j_slf4j-api_1.7.12", "_org.apache.httpcomponents_httpclient_4.4.1", "_org.apache.httpcomponents_httpcore_4.4.1", "_commons-logging_commons-logging_1.2", "_commons-codec_commons-codec_1.9"], exports=["_org.slf4j_slf4j-api_1.7.12", "_org.apache.httpcomponents_httpclient_4.4.1", "_org.apache.httpcomponents_httpcore_4.4.1", "_commons-logging_commons-logging_1.2", "_commons-codec_commons-codec_1.9"], tags=["jvm_module=org.apache.thrift:libthrift", "jvm_version=0.10.0"], visibility=["//visibility:public"])\ngenrule(name="genrules/org.apache.thrift_libthrift_0.10.0", srcs=["@org.apache.thrift_libthrift_0.10.0//file"], outs=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.apache.thrift:libthrift", "jvm_version=0.10.0"])\nscala_import(name="_org.apache.thrift_libthrift_0.10.0", jars=["@maven//:org.apache.thrift/libthrift/0.10.0/libthrift-0.10.0.jar"], deps=[], exports=[], tags=["jvm_module=org.apache.thrift:libthrift", "jvm_version=0.10.0"], visibility=["//visibility:public"])\n\nscala_import(name="org.checkerframework_checker-compat-qual_2.0.0_-1693045912", jars=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.checkerframework:checker-compat-qual", "jvm_version=2.0.0"], visibility=["//visibility:public"])\ngenrule(name="genrules/org.checkerframework_checker-compat-qual_2.0.0", srcs=["@org.checkerframework_checker-compat-qual_2.0.0//file"], outs=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.checkerframework:checker-compat-qual", "jvm_version=2.0.0"])\nscala_import(name="_org.checkerframework_checker-compat-qual_2.0.0", jars=["@maven//:org.checkerframework/checker-compat-qual/2.0.0/checker-compat-qual-2.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.checkerframework:checker-compat-qual", "jvm_version=2.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.checkerframework_checker-qual_2.11.1", srcs=["@org.checkerframework_checker-qual_2.11.1//file"], outs=["@maven//:org.checkerframework/checker-qual/2.11.1/checker-qual-2.11.1.jar"], cmd="cp $< $@", tags=["jvm_module=org.checkerframework:checker-qual", "jvm_version=2.11.1"])\nscala_import(name="_org.checkerframework_checker-qual_2.11.1", jars=["@maven//:org.checkerframework/checker-qual/2.11.1/checker-qual-2.11.1.jar"], deps=[], exports=[], tags=["jvm_module=org.checkerframework:checker-qual", "jvm_version=2.11.1"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.codehaus.mojo_animal-sniffer-annotations_1.14", srcs=["@org.codehaus.mojo_animal-sniffer-annotations_1.14//file"], outs=["@maven//:org.codehaus.mojo/animal-sniffer-annotations/1.14/animal-sniffer-annotations-1.14.jar"], cmd="cp $< $@", tags=["jvm_module=org.codehaus.mojo:animal-sniffer-annotations", "jvm_version=1.14"])\nscala_import(name="_org.codehaus.mojo_animal-sniffer-annotations_1.14", jars=["@maven//:org.codehaus.mojo/animal-sniffer-annotations/1.14/animal-sniffer-annotations-1.14.jar"], deps=[], exports=[], tags=["jvm_module=org.codehaus.mojo:animal-sniffer-annotations", "jvm_version=1.14"], visibility=["//visibility:public"])\n\nscala_import(name="org.scala-lang_scala-library_2.12.12_977037598", jars=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], deps=[], exports=[], tags=["jvm_module=org.scala-lang:scala-library", "jvm_version=2.12.12"], visibility=["//visibility:public"])\ngenrule(name="genrules/org.scala-lang_scala-library_2.12.12", srcs=["@org.scala-lang_scala-library_2.12.12//file"], outs=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], cmd="cp $< $@", tags=["jvm_module=org.scala-lang:scala-library", "jvm_version=2.12.12"])\nscala_import(name="_org.scala-lang_scala-library_2.12.12", jars=["@maven//:org.scala-lang/scala-library/2.12.12/scala-library-2.12.12.jar"], deps=[], exports=[], tags=["jvm_module=org.scala-lang:scala-library", "jvm_version=2.12.12"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_common_2.12_4.0.0", srcs=["@org.scalameta_common_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/common_2.12/4.0.0/common_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:common_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_common_2.12_4.0.0", jars=["@maven//:org.scalameta/common_2.12/4.0.0/common_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:common_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_dialects_2.12_4.0.0", srcs=["@org.scalameta_dialects_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/dialects_2.12/4.0.0/dialects_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:dialects_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_dialects_2.12_4.0.0", jars=["@maven//:org.scalameta/dialects_2.12/4.0.0/dialects_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:dialects_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_inputs_2.12_4.0.0", srcs=["@org.scalameta_inputs_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/inputs_2.12/4.0.0/inputs_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:inputs_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_inputs_2.12_4.0.0", jars=["@maven//:org.scalameta/inputs_2.12/4.0.0/inputs_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:inputs_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_io_2.12_4.0.0", srcs=["@org.scalameta_io_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/io_2.12/4.0.0/io_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:io_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_io_2.12_4.0.0", jars=["@maven//:org.scalameta/io_2.12/4.0.0/io_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:io_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_parsers_2.12_4.0.0", srcs=["@org.scalameta_parsers_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/parsers_2.12/4.0.0/parsers_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:parsers_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_parsers_2.12_4.0.0", jars=["@maven//:org.scalameta/parsers_2.12/4.0.0/parsers_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:parsers_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_quasiquotes_2.12_4.0.0", srcs=["@org.scalameta_quasiquotes_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/quasiquotes_2.12/4.0.0/quasiquotes_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:quasiquotes_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_quasiquotes_2.12_4.0.0", jars=["@maven//:org.scalameta/quasiquotes_2.12/4.0.0/quasiquotes_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:quasiquotes_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\nscala_import(name="org.scalameta_scalameta_2.12_4.0.0_1182173837", jars=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], deps=["_org.scala-lang_scala-library_2.12.12", "_com.google.protobuf_protobuf-java_3.13.0", "_org.scalameta_common_2.12_4.0.0", "_org.scalameta_dialects_2.12_4.0.0", "_org.scalameta_parsers_2.12_4.0.0", "_org.scalameta_quasiquotes_2.12_4.0.0", "_org.scalameta_tokenizers_2.12_4.0.0", "_org.scalameta_transversers_2.12_4.0.0", "_org.scalameta_trees_2.12_4.0.0", "_org.scalameta_inputs_2.12_4.0.0", "_org.scalameta_io_2.12_4.0.0", "_com.lihaoyi_pprint_2.12_0.5.3", "_org.scalameta_semanticdb_2.12_4.0.0", "_com.lihaoyi_sourcecode_2.12_0.1.4", "_org.scalameta_tokens_2.12_4.0.0", "_com.lihaoyi_fastparse_2.12_1.0.0", "_com.lihaoyi_fansi_2.12_0.2.5", "_com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", "_com.lihaoyi_fastparse-utils_2.12_1.0.0", "_com.thesamet.scalapb_lenses_2.12_0.8.0-RC1"], exports=["_org.scala-lang_scala-library_2.12.12", "_com.google.protobuf_protobuf-java_3.13.0", "_org.scalameta_common_2.12_4.0.0", "_org.scalameta_dialects_2.12_4.0.0", "_org.scalameta_parsers_2.12_4.0.0", "_org.scalameta_quasiquotes_2.12_4.0.0", "_org.scalameta_tokenizers_2.12_4.0.0", "_org.scalameta_transversers_2.12_4.0.0", "_org.scalameta_trees_2.12_4.0.0", "_org.scalameta_inputs_2.12_4.0.0", "_org.scalameta_io_2.12_4.0.0", "_com.lihaoyi_pprint_2.12_0.5.3", "_org.scalameta_semanticdb_2.12_4.0.0", "_com.lihaoyi_sourcecode_2.12_0.1.4", "_org.scalameta_tokens_2.12_4.0.0", "_com.lihaoyi_fastparse_2.12_1.0.0", "_com.lihaoyi_fansi_2.12_0.2.5", "_com.thesamet.scalapb_scalapb-runtime_2.12_0.8.0-RC1", "_com.lihaoyi_fastparse-utils_2.12_1.0.0", "_com.thesamet.scalapb_lenses_2.12_0.8.0-RC1"], tags=["jvm_module=org.scalameta:scalameta_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\ngenrule(name="genrules/org.scalameta_scalameta_2.12_4.0.0", srcs=["@org.scalameta_scalameta_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:scalameta_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_scalameta_2.12_4.0.0", jars=["@maven//:org.scalameta/scalameta_2.12/4.0.0/scalameta_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:scalameta_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_semanticdb_2.12_4.0.0", srcs=["@org.scalameta_semanticdb_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/semanticdb_2.12/4.0.0/semanticdb_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:semanticdb_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_semanticdb_2.12_4.0.0", jars=["@maven//:org.scalameta/semanticdb_2.12/4.0.0/semanticdb_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:semanticdb_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_tokenizers_2.12_4.0.0", srcs=["@org.scalameta_tokenizers_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/tokenizers_2.12/4.0.0/tokenizers_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:tokenizers_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_tokenizers_2.12_4.0.0", jars=["@maven//:org.scalameta/tokenizers_2.12/4.0.0/tokenizers_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:tokenizers_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_tokens_2.12_4.0.0", srcs=["@org.scalameta_tokens_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/tokens_2.12/4.0.0/tokens_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:tokens_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_tokens_2.12_4.0.0", jars=["@maven//:org.scalameta/tokens_2.12/4.0.0/tokens_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:tokens_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_transversers_2.12_4.0.0", srcs=["@org.scalameta_transversers_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/transversers_2.12/4.0.0/transversers_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:transversers_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_transversers_2.12_4.0.0", jars=["@maven//:org.scalameta/transversers_2.12/4.0.0/transversers_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:transversers_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.scalameta_trees_2.12_4.0.0", srcs=["@org.scalameta_trees_2.12_4.0.0//file"], outs=["@maven//:org.scalameta/trees_2.12/4.0.0/trees_2.12-4.0.0.jar"], cmd="cp $< $@", tags=["jvm_module=org.scalameta:trees_2.12", "jvm_version=4.0.0"])\nscala_import(name="_org.scalameta_trees_2.12_4.0.0", jars=["@maven//:org.scalameta/trees_2.12/4.0.0/trees_2.12-4.0.0.jar"], deps=[], exports=[], tags=["jvm_module=org.scalameta:trees_2.12", "jvm_version=4.0.0"], visibility=["//visibility:public"])\n\n\ngenrule(name="genrules/org.slf4j_slf4j-api_1.7.12", srcs=["@org.slf4j_slf4j-api_1.7.12//file"], outs=["@maven//:org.slf4j/slf4j-api/1.7.12/slf4j-api-1.7.12.jar"], cmd="cp $< $@", tags=["jvm_module=org.slf4j:slf4j-api", "jvm_version=1.7.12"])\nscala_import(name="_org.slf4j_slf4j-api_1.7.12", jars=["@maven//:org.slf4j/slf4j-api/1.7.12/slf4j-api-1.7.12.jar"], deps=[], exports=[], tags=["jvm_module=org.slf4j:slf4j-api", "jvm_version=1.7.12"], visibility=["//visibility:public"])\n\n\n' ctx.file('BUILD', build_content, executable=False) jvm_deps_rule = repository_rule(implementation=_jvm_deps_impl) def jvm_deps(): jvm_deps_rule(name='maven')

""" CHALLENGE PROBLEM!! NOT FOR THE FAINT OF HEART! The Fibonacci numbers, discovered by Leonardo di Fibonacci, is a sequence of numbers that often shows up in mathematics and, interestingly, nature. The sequence goes as such: 1,1,2,3,5,8,13,21,34,55,... where the sequence starts with 1 and 1, and then each number is the sum of the previous 2. For example, 8 comes after 5 because 5+3 = 8, and 55 comes after 34 because 34+21 = 55. The challenge is to use a for loop (not recursion, if you know what that is), to find the 100th Fibonnaci number. """ # write code here # Can you do it with a while loop?

""" CHALLENGE PROBLEM!! NOT FOR THE FAINT OF HEART! The Fibonacci numbers, discovered by Leonardo di Fibonacci, is a sequence of numbers that often shows up in mathematics and, interestingly, nature. The sequence goes as such: 1,1,2,3,5,8,13,21,34,55,... where the sequence starts with 1 and 1, and then each number is the sum of the previous 2. For example, 8 comes after 5 because 5+3 = 8, and 55 comes after 34 because 34+21 = 55. The challenge is to use a for loop (not recursion, if you know what that is), to find the 100th Fibonnaci number. """

INSTALLED_APPS = ( "testapp", ) DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': ':memory:', } } SECRET_KEY = "django_tests_secret_key"

installed_apps = ('testapp',) databases = {'default': {'ENGINE': 'django.db.backends.sqlite3', 'NAME': ':memory:'}} secret_key = 'django_tests_secret_key'

# Databricks notebook source # MAGIC %md # Run transform # MAGIC this will load the schema, the raw txt tables, then transform the dataframes to structured dataframes. # COMMAND ---------- # MAGIC %run ./transform # COMMAND ---------- # MAGIC %md # Store # MAGIC write the transformed dataframes to our base-path # COMMAND ---------- for table in df_openalex_c: target=f'{base_path}parquet/{table}' if table in partition_sizes: partitions=partition_sizes[table] else: partitions=partition_sizes['default'] if file_exists(target): print(f'{target} already exists, skip') else: print(f'writing {target}') df_openalex_c[table].repartition(partitions).write.format('parquet').save(target)

for table in df_openalex_c: target = f'{base_path}parquet/{table}' if table in partition_sizes: partitions = partition_sizes[table] else: partitions = partition_sizes['default'] if file_exists(target): print(f'{target} already exists, skip') else: print(f'writing {target}') df_openalex_c[table].repartition(partitions).write.format('parquet').save(target)

# python3 def build_heap(data): """Build a heap from ``data`` inplace. Returns a sequence of swaps performed by the algorithm. """ # The following naive implementation just sorts the given sequence # using selection sort algorithm and saves the resulting sequence # of swaps. This turns the given array into a heap, but in the worst # case gives a quadratic number of swaps. # # TODO: replace by a more efficient implementation swaps = [] n = len(data) for i in range((n - 2) // 2, -1, -1): j = i while j < n: m = j l = 2 * m + 1 r = l + 1 if l < n and data[l] < data[m]: m = l if r < n and data[r] < data[m]: m = r if m != j: swaps.append((j, m)) data[j], data[m] = data[m], data[j] j = m else: break return swaps def main(): # n = int(input()) # data = list(map(int, input().split())) # assert len(data) == n data = list(map(int, '5 4 3 2 1'.split())) swaps = build_heap(data) print(len(swaps)) for i, j in swaps: print(i, j) if __name__ == "__main__": main()

def build_heap(data): """Build a heap from ``data`` inplace. Returns a sequence of swaps performed by the algorithm. """ swaps = [] n = len(data) for i in range((n - 2) // 2, -1, -1): j = i while j < n: m = j l = 2 * m + 1 r = l + 1 if l < n and data[l] < data[m]: m = l if r < n and data[r] < data[m]: m = r if m != j: swaps.append((j, m)) (data[j], data[m]) = (data[m], data[j]) j = m else: break return swaps def main(): data = list(map(int, '5 4 3 2 1'.split())) swaps = build_heap(data) print(len(swaps)) for (i, j) in swaps: print(i, j) if __name__ == '__main__': main()

# Ex4. # # Create a program that is going to take a whole number as an input, and will calculate the factorial of the number. # # Factorial example: 5! = 5 * 4 * 3 * 2 * 1 = 120 factorial = 1 number = int(input('Enter a number: ')) for i in range(1, number+1): factorial *= i print(f'Factorial of {number} is {factorial}')

factorial = 1 number = int(input('Enter a number: ')) for i in range(1, number + 1): factorial *= i print(f'Factorial of {number} is {factorial}')

""" Parameters and syntactic sugar. """ def dec(func): def wrapper(*args, **kwargs): print('Top decoration') rv = func(*args, **kwargs) print('Bottom decoration') return rv return wrapper @dec def sum_it(a, b): return(a + b) x = sum_it(10, 5) print(x)

""" Parameters and syntactic sugar. """ def dec(func): def wrapper(*args, **kwargs): print('Top decoration') rv = func(*args, **kwargs) print('Bottom decoration') return rv return wrapper @dec def sum_it(a, b): return a + b x = sum_it(10, 5) print(x)

def read_lines_of_file(filename): with open(filename) as f: content = f.readlines() return content,len(content) alltext,alltextlen = read_lines_of_file('read.txt') for line in alltext: print(line.rstrip()) print("Number of lines read from file --> %d" %(alltextlen))

def read_lines_of_file(filename): with open(filename) as f: content = f.readlines() return (content, len(content)) (alltext, alltextlen) = read_lines_of_file('read.txt') for line in alltext: print(line.rstrip()) print('Number of lines read from file --> %d' % alltextlen)

class Authenticator(): def validate(self, username, password): raise NotImplementedError() # pragma: no cover def verify(self, username): raise NotImplementedError() # pragma: no cover def get_password(self, username): raise NotImplementedError() # pragma: no cover

class Authenticator: def validate(self, username, password): raise not_implemented_error() def verify(self, username): raise not_implemented_error() def get_password(self, username): raise not_implemented_error()

""" some types and constants """ # pylint: disable=too-few-public-methods NS = "starters" class Status: """ pseudo-enum for managing statuses """ # the starter isn't done yet, and more data is required CONTINUING = "continuing" # the starter is done, and should not continue DONE = "done" # something terrible has happened ERROR = "error"

""" some types and constants """ ns = 'starters' class Status: """ pseudo-enum for managing statuses """ continuing = 'continuing' done = 'done' error = 'error'

#!/usr/local/bin/python3 class Generator(): def __init__(self, init, factor, modulo, multiple): self.value = init self.factor = factor self.modulo = modulo self.multiple = multiple def getNext(self): self.value = (self.value * self.factor) % self.modulo while (self.value % self.multiple) != 0: self.value = (self.value * self.factor) % self.modulo return self.value class Judge(): def __init__(self, genA, genB): self.generatorA = genA self.generatorB = genB self.count = 0 def evalNext(self): if self.generatorA.getNext()&0xffff == self.generatorB.getNext()&0xffff: self.count += 1 FACTOR_GEN_A = 16807 FACTOR_GEN_B = 48271 MODULO = 2147483647 START_VALUE_GEN_A = 512 START_VALUE_GEN_B = 191 generatorA = Generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 1) generatorB = Generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 1) judge = Judge(generatorA, generatorB) for i in xrange(40000000): judge.evalNext() print("Star 1: %i" % judge.count) generatorA = Generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 4) generatorB = Generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 8) judge = Judge(generatorA, generatorB) for i in xrange(5000000): judge.evalNext() print("Star 2: %i" % judge.count)

class Generator: def __init__(self, init, factor, modulo, multiple): self.value = init self.factor = factor self.modulo = modulo self.multiple = multiple def get_next(self): self.value = self.value * self.factor % self.modulo while self.value % self.multiple != 0: self.value = self.value * self.factor % self.modulo return self.value class Judge: def __init__(self, genA, genB): self.generatorA = genA self.generatorB = genB self.count = 0 def eval_next(self): if self.generatorA.getNext() & 65535 == self.generatorB.getNext() & 65535: self.count += 1 factor_gen_a = 16807 factor_gen_b = 48271 modulo = 2147483647 start_value_gen_a = 512 start_value_gen_b = 191 generator_a = generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 1) generator_b = generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 1) judge = judge(generatorA, generatorB) for i in xrange(40000000): judge.evalNext() print('Star 1: %i' % judge.count) generator_a = generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 4) generator_b = generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 8) judge = judge(generatorA, generatorB) for i in xrange(5000000): judge.evalNext() print('Star 2: %i' % judge.count)

price = 1000000 good_credit = True high_income = True if good_credit and high_income: down_payment = 1.0 * price print(f"eligible for loan") else: down_payment = 2.0 * price print(f"ineligible for loan") print(f"down payment is {down_payment}")

price = 1000000 good_credit = True high_income = True if good_credit and high_income: down_payment = 1.0 * price print(f'eligible for loan') else: down_payment = 2.0 * price print(f'ineligible for loan') print(f'down payment is {down_payment}')

# Constants shared between C++ code and python # TODO: Share properly via a configuration file # ControllerWithSimpleHistory::EvaluationPeriod EVALUATION_PERIOD_SEQUENCES = 64 # kWorkWindowSize in SysConsts.hpp STATE_TRANSFER_WINDOW = 300

evaluation_period_sequences = 64 state_transfer_window = 300

# Python program to print # ASCII Value of Character # In c we can assign different # characters of which we want ASCII value c = 'g' # print the ASCII value of assigned character in c print("The ASCII value of '" + c + "' is", ord(c))

c = 'g' print("The ASCII value of '" + c + "' is", ord(c))

#!/usr/bin/python3 """ Contains empty class BaseGeometry with public instance method area """ class BaseGeometry: """ Methods: area(self) """ def area(self): """not implemented""" raise Exception("area() is not implemented")

""" Contains empty class BaseGeometry with public instance method area """ class Basegeometry: """ Methods: area(self) """ def area(self): """not implemented""" raise exception('area() is not implemented')

""" Enable `django-admin-tools`_ to enhance the administration interface. This enables three widgets to customize certain elements. `filebrowser`_ is used, so if your project has not enabled it, you need to remove the occurrences of these widgets. .. warning:: This mod cannot live with `admin_style`_, you have to choose only one of them. """

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue May 19 21:42:34 2020 @author: lukepinkel """ LBFGSB_options = dict(disp=10, maxfun=5000, maxiter=5000, gtol=1e-8) SLSQP_options = dict(disp=True, maxiter=1000) TrustConstr_options = dict(verbose=3, gtol=1e-5) TrustNewton_options = dict(gtol=1e-5) TrustConstr2_options = dict(verbose=0, gtol=1e-6) default_opts = {'L-BFGS-B':LBFGSB_options, 'l-bfgs-b':LBFGSB_options, 'lbfgsb':LBFGSB_options, 'LBFGSB':LBFGSB_options, 'SLSQP':SLSQP_options, 'slsqp':SLSQP_options, 'trust-constr':TrustConstr_options, 'trust-ncg':TrustNewton_options} def process_optimizer_kwargs(optimizer_kwargs, default_method='trust-constr'): keys = optimizer_kwargs.keys() if 'method' not in keys: optimizer_kwargs['method'] = default_method if 'options' not in keys: optimizer_kwargs['options'] = default_opts[optimizer_kwargs['method']] else: options_keys = optimizer_kwargs['options'].keys() for dfkey, dfval in default_opts[optimizer_kwargs['method']].items(): if dfkey not in options_keys: optimizer_kwargs['options'][dfkey] = dfval return optimizer_kwargs

""" Created on Tue May 19 21:42:34 2020 @author: lukepinkel """ lbfgsb_options = dict(disp=10, maxfun=5000, maxiter=5000, gtol=1e-08) slsqp_options = dict(disp=True, maxiter=1000) trust_constr_options = dict(verbose=3, gtol=1e-05) trust_newton_options = dict(gtol=1e-05) trust_constr2_options = dict(verbose=0, gtol=1e-06) default_opts = {'L-BFGS-B': LBFGSB_options, 'l-bfgs-b': LBFGSB_options, 'lbfgsb': LBFGSB_options, 'LBFGSB': LBFGSB_options, 'SLSQP': SLSQP_options, 'slsqp': SLSQP_options, 'trust-constr': TrustConstr_options, 'trust-ncg': TrustNewton_options} def process_optimizer_kwargs(optimizer_kwargs, default_method='trust-constr'): keys = optimizer_kwargs.keys() if 'method' not in keys: optimizer_kwargs['method'] = default_method if 'options' not in keys: optimizer_kwargs['options'] = default_opts[optimizer_kwargs['method']] else: options_keys = optimizer_kwargs['options'].keys() for (dfkey, dfval) in default_opts[optimizer_kwargs['method']].items(): if dfkey not in options_keys: optimizer_kwargs['options'][dfkey] = dfval return optimizer_kwargs

def find(tree, key, value): items = tree.get("children", []) if isinstance(tree, dict) else tree for item in items: if item[key] == value: yield item else: yield from find(item, key, value) def find_path(tree, key, value, path=()): items = tree.get("children", []) if isinstance(tree, dict) else tree for item in items: if item[key] == value: yield (*path, item) else: yield from find_path(item, key, value, (*path, item))

def find(tree, key, value): items = tree.get('children', []) if isinstance(tree, dict) else tree for item in items: if item[key] == value: yield item else: yield from find(item, key, value) def find_path(tree, key, value, path=()): items = tree.get('children', []) if isinstance(tree, dict) else tree for item in items: if item[key] == value: yield (*path, item) else: yield from find_path(item, key, value, (*path, item))

# compat2.py # Copyright (c) 2013-2019 Pablo Acosta-Serafini # See LICENSE for details # pylint: disable=C0111,R1717,W0122,W0613 ### # Functions ### def _readlines(fname): # pragma: no cover """Read all lines from file.""" with open(fname, "r") as fobj: return fobj.readlines() # Largely from From https://stackoverflow.com/questions/956867/ # how-to-get-string-objects-instead-of-unicode-ones-from-json-in-python # with Python 2.6 compatibility changes def _unicode_to_ascii(obj): # pragma: no cover """Convert to ASCII.""" # pylint: disable=E0602 if isinstance(obj, dict): return dict( [ (_unicode_to_ascii(key), _unicode_to_ascii(value)) for key, value in obj.items() ] ) if isinstance(obj, list): return [_unicode_to_ascii(element) for element in obj] if isinstance(obj, unicode): return obj.encode("utf-8") return obj def _write(fobj, data): """Write data to file.""" fobj.write(data)

def _readlines(fname): """Read all lines from file.""" with open(fname, 'r') as fobj: return fobj.readlines() def _unicode_to_ascii(obj): """Convert to ASCII.""" if isinstance(obj, dict): return dict([(_unicode_to_ascii(key), _unicode_to_ascii(value)) for (key, value) in obj.items()]) if isinstance(obj, list): return [_unicode_to_ascii(element) for element in obj] if isinstance(obj, unicode): return obj.encode('utf-8') return obj def _write(fobj, data): """Write data to file.""" fobj.write(data)

''' Problem: 13 Reasons Why Given 3 integers A, B, C. Do the following steps- Swap A and B. Multiply A by C. Add C to B. Output new values of A and B. ''' # When ran, you will see a blank line, as that is needed for the submission. # If you are debugging and want it to be easier, change it too # input = input("Numbers: ") # Collects the input input = input() # Puts the input in the list, it's cutting them due to the space between the numbers. inputList = input.split(" ") # Since A and B are being swapped, A is given inputList[1], which was B's input. Vice Versa for B. # C is just given the third input, which was C. A = int(inputList[1]) B = int(inputList[0]) C = int(inputList[2]) # Multiplies A * C. A = A * C # Adds C + B. B = C + B # Converts them to strings since the submission needs to be one line. A = str(A) B = str(B) # Prints the answer. print(A + " " + B)

""" Problem: 13 Reasons Why Given 3 integers A, B, C. Do the following steps- Swap A and B. Multiply A by C. Add C to B. Output new values of A and B. """ input = input() input_list = input.split(' ') a = int(inputList[1]) b = int(inputList[0]) c = int(inputList[2]) a = A * C b = C + B a = str(A) b = str(B) print(A + ' ' + B)

class Solution: def maxIncreaseKeepingSkyline(self, grid): skyline = [] for v_line in grid: skyline.append([max(v_line)] * len(grid)) for x, h_line in enumerate(list(zip(*grid))): max_h = max(h_line) for y in range(len(skyline)): skyline[y][x] = min(skyline[y][x], max_h) ans = sum([sum(l) for l in skyline]) - sum([sum(l) for l in grid]) return ans

class Solution: def max_increase_keeping_skyline(self, grid): skyline = [] for v_line in grid: skyline.append([max(v_line)] * len(grid)) for (x, h_line) in enumerate(list(zip(*grid))): max_h = max(h_line) for y in range(len(skyline)): skyline[y][x] = min(skyline[y][x], max_h) ans = sum([sum(l) for l in skyline]) - sum([sum(l) for l in grid]) return ans

class Solution: def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: output = [[]] result = [] for num in sorted(nums): res = [lst + [num] for lst in output] output += res for subset in output: if subset not in result: result.append(subset) return result

class Solution: def subsets_with_dup(self, nums: List[int]) -> List[List[int]]: output = [[]] result = [] for num in sorted(nums): res = [lst + [num] for lst in output] output += res for subset in output: if subset not in result: result.append(subset) return result

with open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/general_form_ocr.txt') as f: text = f.readlines() f2 = open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/dlo_address.txt', 'w+') # data = list(set(text)) # data.sort() # # count2 = 0 # count = {e: 0 for e in data} # count2 = 0 for e in text: e = e.strip() length = len(e) if length > 25: f2.write(f'{e[:length//2]}\n') f2.write(f'{e[length//2:]}\n') else: f2.write(f'{e}\n') # # data.sort() # print(count) # print(len(count)) # print(min(count.values()))

with open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/general_form_ocr.txt') as f: text = f.readlines() f2 = open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/dlo_address.txt', 'w+') for e in text: e = e.strip() length = len(e) if length > 25: f2.write(f'{e[:length // 2]}\n') f2.write(f'{e[length // 2:]}\n') else: f2.write(f'{e}\n')

# -*- coding: utf-8 -*- """Top-level package for Hauberk Email Automations.""" __author__ = """Andrew Kail""" __email__ = 'andrew.a.kail@gmail.com' __version__ = '0.1.0'

"""Top-level package for Hauberk Email Automations.""" __author__ = 'Andrew Kail' __email__ = 'andrew.a.kail@gmail.com' __version__ = '0.1.0'

"""Common testing word list.""" # word list Breakdown # 1: a (1) # 2: go. no, be, by (4) # 3: cry, fun, run, for (4) # 4: demo, foul, wait, sell (4) # 5: yeast, wrong, water, skill (4) # 6: accept, admire, bicorn, biceps, planks (5) # 7: bizonal, biofuel, bigfoot, scalene (4) # 8: mobility, notebook, superior, taxpayer (4) # 9: squeezing, emphasize, humanized, bubblegum (4) # 10: victimized, complexity, nonsubject (3) # 11: overcomplex, conjunction, pocketknife (3) # 12: embezzlement, hyperbolized, racquetballs (3) # Over: Supercalifragilisticexpialidocious (1) LIST_EXAMPLE = [ "a", "go", "no", "be", "by", "cry", "fun", "run", "for", "demo", "foul", "wait", "sell", "yeast", "wrong", "water", "skill", "accept", "admire", "bicorn", "biceps", "planks", "bizonal", "biofuel", "bigfoot", "scalene", "mobility", "notebook", "superior", "taxpayer", "squeezing", "emphasize", "humanized", "bubblegum", "victimized", "complexity", "nonsubject", "overcomplex", "conjunction", "pocketknife", "embezzlement", "hyperbolized", "racquetballs", "Supercalifragilisticexpialidocious", ] LIST_EXAMPLE_EASY = [ "cry", "fun", "run", "for", "demo", "foul", "wait", "sell", "yeast", "wrong", "water", "skill", ] LIST_EXAMPLE_ADVANCED = [ "accept", "admire", "bicorn", "biceps", "planks", "bizonal", "biofuel", "bigfoot", "scalene", "mobility", "notebook", "superior", "taxpayer", ] LIST_EXAMPLE_EXPERT = [ "squeezing", "emphasize", "humanized", "bubblegum", "victimized", "complexity", "nonsubject", ] LIST_EXAMPLE_MASTER = [ "overcomplex", "conjunction", "pocketknife", "embezzlement", "hyperbolized", "racquetballs", ]

"""Common testing word list.""" list_example = ['a', 'go', 'no', 'be', 'by', 'cry', 'fun', 'run', 'for', 'demo', 'foul', 'wait', 'sell', 'yeast', 'wrong', 'water', 'skill', 'accept', 'admire', 'bicorn', 'biceps', 'planks', 'bizonal', 'biofuel', 'bigfoot', 'scalene', 'mobility', 'notebook', 'superior', 'taxpayer', 'squeezing', 'emphasize', 'humanized', 'bubblegum', 'victimized', 'complexity', 'nonsubject', 'overcomplex', 'conjunction', 'pocketknife', 'embezzlement', 'hyperbolized', 'racquetballs', 'Supercalifragilisticexpialidocious'] list_example_easy = ['cry', 'fun', 'run', 'for', 'demo', 'foul', 'wait', 'sell', 'yeast', 'wrong', 'water', 'skill'] list_example_advanced = ['accept', 'admire', 'bicorn', 'biceps', 'planks', 'bizonal', 'biofuel', 'bigfoot', 'scalene', 'mobility', 'notebook', 'superior', 'taxpayer'] list_example_expert = ['squeezing', 'emphasize', 'humanized', 'bubblegum', 'victimized', 'complexity', 'nonsubject'] list_example_master = ['overcomplex', 'conjunction', 'pocketknife', 'embezzlement', 'hyperbolized', 'racquetballs']

def foo(): ''' >>> class bad(): ... pass ''' pass

def foo(): """ >>> class bad(): ... pass """ pass

# -*- coding: utf-8 -*- """ Useful exception classes that are used to return HTTP errors. """ class ApiException(Exception): """ The base exception class for all APIExceptions. Parameters ---------- code : str Error code. message : str Human readable string describing the exception. status_code : int HTTP status code. """ def __init__(self, code: str, message: str, status_code: int): self.code = code self.message = message self.status_code = status_code class BadRequest(ApiException): """ Bad Request response status code indicates that the server cannot or will not process the request due to something that is perceived to be a client error. A common cause is that the client has sent invalid request values. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=400) class Forbidden(ApiException): """ Forbidden client error status response code indicates that the server understands the request but refuses to authorize it. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=403) class NotFound(ApiException): """ Not Found client error response code indicates that the server can't find the requested resource. A common cause is that a provided ID does not exist in the database. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=404) class InternalServerError(ApiException): """ Internal Server Error server error response code indicates that the server encountered an unexpected condition that prevented it from fulfilling the request. This error response is a generic "catch-all" response. You should log error responses like the 500 status code with more details about the request to prevent the error from happening again in the future. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=500) class ServiceUnavailable(ApiException): """ Service Unavailable server error response code indicates that the server is not ready to handle the request. A common cause is that the database is not available or overloaded. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=503)

""" Useful exception classes that are used to return HTTP errors. """ class Apiexception(Exception): """ The base exception class for all APIExceptions. Parameters ---------- code : str Error code. message : str Human readable string describing the exception. status_code : int HTTP status code. """ def __init__(self, code: str, message: str, status_code: int): self.code = code self.message = message self.status_code = status_code class Badrequest(ApiException): """ Bad Request response status code indicates that the server cannot or will not process the request due to something that is perceived to be a client error. A common cause is that the client has sent invalid request values. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=400) class Forbidden(ApiException): """ Forbidden client error status response code indicates that the server understands the request but refuses to authorize it. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=403) class Notfound(ApiException): """ Not Found client error response code indicates that the server can't find the requested resource. A common cause is that a provided ID does not exist in the database. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=404) class Internalservererror(ApiException): """ Internal Server Error server error response code indicates that the server encountered an unexpected condition that prevented it from fulfilling the request. This error response is a generic "catch-all" response. You should log error responses like the 500 status code with more details about the request to prevent the error from happening again in the future. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=500) class Serviceunavailable(ApiException): """ Service Unavailable server error response code indicates that the server is not ready to handle the request. A common cause is that the database is not available or overloaded. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=503)

class InstanceObjectManager: def __init__(self, parent): self.parent = parent # All Instance Id's of instanced objects on this server. self.localInstanceIds = set() # Dict of {Temp Id: Instance Object} self.tempId2iObject = {} # Dict of {Instance Id: Instance Object} self.instanceId2iObject = {} # Keeps track of all instanced objects under their Parent->Zone key-pair. self.locationDict = {} def storeTempObject(self, tempId, iObject): if tempId in self.tempId2iObject: print("Warning: TempId (%s) already exists in TempId dict. Overriding." % tempId) self.tempId2iObject[tempId] = iObject def deleteTempObject(self, tempId): if tempId not in self.tempId2iObject: print("Error: Attempted to delete non-existent object with TempId (%s)" % tempId) return del self.tempId2iObject[tempId] def activateTempObject(self, tempId, instanceId): if tempId not in self.tempId2iObject: print("Error: Attempted to activate non-existent TempId (%s)" % tempId) return iObject = self.tempId2iObject[tempId] iObject.instanceId = instanceId self.storeInstanceObject(iObject) self.deleteTempObject(tempId) def storeInstanceObject(self, iObject): instanceId = iObject.instanceId if instanceId in self.localInstanceIds: print("Warning: Instance Object (%s) already exists in localInstanceIds. Duplicate generate or poor cleanup?" % instanceId) if instanceId in self.instanceId2iObject: print("Warning: Instance Object (%s) already exists in memory. Overriding." % instanceId) # Store object in memory. self.instanceId2iObject[instanceId] = iObject # Store object in location. parentId = iObject.parentId zoneId = iObject.zoneId parentDict = self.locationDict.setdefault(parentId, {}) zoneDict = parentDict.setdefault(zoneId, set()) zoneDict.add(iObject) # Store the instance id as a known id. self.localInstanceIds.add(instanceId) def deleteInstanceObject(self, instanceId): if (instanceId not in self.localInstanceIds) or (instanceId not in self.instanceId2iObject): print("Error: Attempted to delete invalid Instance Object (%s)" % instanceId) return iObject = self.instanceId2iObject[instanceId] # Get object location. parentId = iObject.parentId zoneId = iObject.zoneId # Remove the object from memory. del self.instanceId2iObject[instanceId] del self.localInstanceIds[instanceId] parentDict = self.locationDict.get(parentId) if parentDict is None: print("Error: Attempted to delete Instance Object (%s) with invalid parent (%s)." % (instanceId, parentId)) return zoneDict = parentDict.get(zoneId) if zoneDict is None: print("Error: Attempted to delete Instance Object (%s) with invalid parent-zone pair (%s:%s)." % (instanceId, parentId, zoneId)) return if instanceId not in zoneDict: print("Error: Attempted to delete Instance Object (%s) that does not exist at location (%s:%s)." % (instanceId, parentId, zoneId)) return # We can finally delete the object out of the locationDict. del zoneDict[instanceId] # Cleanup. if len(zoneDict) == 0: del parentDict[zoneId] if len(parentDict) == 0: del self.locationDict[parentId] def getInstanceObjects(self, parentId, zoneId=None): parent = self.locationDict.get(parentId) if parent is None: return [] # If no zoneId is specified, return all child objects of the parent. if zoneId is None: children = [] for zone in parent.values(): for iObject in zone: children.append(iObject) # If we have a specific zoneId, return all objects under that zone. else: children = parent.get(zoneId, []) return children

class Instanceobjectmanager: def __init__(self, parent): self.parent = parent self.localInstanceIds = set() self.tempId2iObject = {} self.instanceId2iObject = {} self.locationDict = {} def store_temp_object(self, tempId, iObject): if tempId in self.tempId2iObject: print('Warning: TempId (%s) already exists in TempId dict. Overriding.' % tempId) self.tempId2iObject[tempId] = iObject def delete_temp_object(self, tempId): if tempId not in self.tempId2iObject: print('Error: Attempted to delete non-existent object with TempId (%s)' % tempId) return del self.tempId2iObject[tempId] def activate_temp_object(self, tempId, instanceId): if tempId not in self.tempId2iObject: print('Error: Attempted to activate non-existent TempId (%s)' % tempId) return i_object = self.tempId2iObject[tempId] iObject.instanceId = instanceId self.storeInstanceObject(iObject) self.deleteTempObject(tempId) def store_instance_object(self, iObject): instance_id = iObject.instanceId if instanceId in self.localInstanceIds: print('Warning: Instance Object (%s) already exists in localInstanceIds. Duplicate generate or poor cleanup?' % instanceId) if instanceId in self.instanceId2iObject: print('Warning: Instance Object (%s) already exists in memory. Overriding.' % instanceId) self.instanceId2iObject[instanceId] = iObject parent_id = iObject.parentId zone_id = iObject.zoneId parent_dict = self.locationDict.setdefault(parentId, {}) zone_dict = parentDict.setdefault(zoneId, set()) zoneDict.add(iObject) self.localInstanceIds.add(instanceId) def delete_instance_object(self, instanceId): if instanceId not in self.localInstanceIds or instanceId not in self.instanceId2iObject: print('Error: Attempted to delete invalid Instance Object (%s)' % instanceId) return i_object = self.instanceId2iObject[instanceId] parent_id = iObject.parentId zone_id = iObject.zoneId del self.instanceId2iObject[instanceId] del self.localInstanceIds[instanceId] parent_dict = self.locationDict.get(parentId) if parentDict is None: print('Error: Attempted to delete Instance Object (%s) with invalid parent (%s).' % (instanceId, parentId)) return zone_dict = parentDict.get(zoneId) if zoneDict is None: print('Error: Attempted to delete Instance Object (%s) with invalid parent-zone pair (%s:%s).' % (instanceId, parentId, zoneId)) return if instanceId not in zoneDict: print('Error: Attempted to delete Instance Object (%s) that does not exist at location (%s:%s).' % (instanceId, parentId, zoneId)) return del zoneDict[instanceId] if len(zoneDict) == 0: del parentDict[zoneId] if len(parentDict) == 0: del self.locationDict[parentId] def get_instance_objects(self, parentId, zoneId=None): parent = self.locationDict.get(parentId) if parent is None: return [] if zoneId is None: children = [] for zone in parent.values(): for i_object in zone: children.append(iObject) else: children = parent.get(zoneId, []) return children

def append(list1, list2): pass def concat(lists): pass def filter(function, list): pass def length(list): pass def map(function, list): pass def foldl(function, list, initial): pass def foldr(function, list, initial): pass def reverse(list): pass

class Solution: def rob(self, nums: List[int]) -> int: def dp(i: int) -> int: if i == 0: return nums[0] if i == 1: return max(nums[0], nums[1]) if i not in memo: memo[i] = max(dp(i-1), nums[i]+dp(i-2)) return memo[i] memo = {} return dp(len(nums)-1)

class Solution: def rob(self, nums: List[int]) -> int: def dp(i: int) -> int: if i == 0: return nums[0] if i == 1: return max(nums[0], nums[1]) if i not in memo: memo[i] = max(dp(i - 1), nums[i] + dp(i - 2)) return memo[i] memo = {} return dp(len(nums) - 1)

#!/usr/bin/env python3 ############################################################################### # Copyright 2018 The Apollo Authors. 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. ############################################################################### def segment_overlap(a, b, x, y): if b < x or a > y: return False return True def vector_projection_overlap(p0, p1, p2, p3): v = p1.subtract(p0) n_square = v.norm_square() v0 = p2.subtract(p0) v1 = p3.subtract(p0) t0 = v0.dot(v) t1 = v1.dot(v) if t0 > t1: t = t0 t0 = t1 t1 = t return segment_overlap(t0, t1, 0.0, n_square)

def segment_overlap(a, b, x, y): if b < x or a > y: return False return True def vector_projection_overlap(p0, p1, p2, p3): v = p1.subtract(p0) n_square = v.norm_square() v0 = p2.subtract(p0) v1 = p3.subtract(p0) t0 = v0.dot(v) t1 = v1.dot(v) if t0 > t1: t = t0 t0 = t1 t1 = t return segment_overlap(t0, t1, 0.0, n_square)

class Matrix: def transpose(self, matrix): return list(zip(*matrix)) def column(self, matrix, i): return [row[i] for row in matrix]

class Solution: def flipLights(self, n, m): """ :type n: int :type m: int :rtype: int """ if n == 1: return 1 if m == 0 else 2 if m == 0: return 1 elif m & 1: if m == 1: return 3 if n <= 2 else 4 else: return 4 if n <= 2 else 8 else: if m == 2: return 4 if n <= 2 else 7 else: return 4 if n <= 2 else 8

class Solution: def flip_lights(self, n, m): """ :type n: int :type m: int :rtype: int """ if n == 1: return 1 if m == 0 else 2 if m == 0: return 1 elif m & 1: if m == 1: return 3 if n <= 2 else 4 else: return 4 if n <= 2 else 8 elif m == 2: return 4 if n <= 2 else 7 else: return 4 if n <= 2 else 8

#!/usr/bin/env python3 """ PartBuilder exception for part builder errors """ class PartBuilderException(Exception): """ Raised by PartBuilder functions when things go wrong """ pass

""" PartBuilder exception for part builder errors """ class Partbuilderexception(Exception): """ Raised by PartBuilder functions when things go wrong """ pass

def create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header): colPairs = len(dimPerfMap) colspecs = '|c|c|' * colPairs lines.append("\\begin{table}[H]") lines.append("\centering") lines.append("\caption{%s: %s}" % (subsectitle, header)) lines.append("\\begin{adjustbox}{width=1\\textwidth}") lines.append("\\begin{tabular}{ %s }" % colspecs) lines.append("\hline") lines.append("\multicolumn{%s}{|c|}{%s} \\\\" % (str(colPairs * 2), header)) lines.append("\hline") tmpl0 = "\multicolumn{2}{|c||}{%s}" tmpl = "\multicolumn{2}{c||}{%s}" tmplN = "\multicolumn{2}{c|}{%s}" dimcols = [] idx = 0 for M,N in sorted(dimPerfMap): if idx == 0: tmplVal = tmpl0 % ("%s-%s" % (dataname, M)) elif idx == len(dimPerfMap) - 1: tmplVal = tmplN % ("%s-%s" % (dataname, M)) else: tmplVal = tmpl % ("%s-%s" % (dataname, M)) dimcols.append(tmplVal) idx += 1 lines.append(" & ".join(dimcols) + "\\\\") lines.append("\hline") dimcols = [] idx = 0 for M,N in sorted(dimPerfMap): if idx == 0: tmplVal = tmpl0 % ("m = %d, gc = %d" % (M,N)) elif idx == len(dimPerfMap) - 1: tmplVal = tmplN % ("m = %d, gc = %d" % (M,N)) else: tmplVal = tmpl % ("m = %d, gc = %d" % (M,N)) dimcols.append(tmplVal) idx += 1 lines.append(" & ".join(dimcols) + "\\\\") lines.append("\hline") lineArr = ["f($\\bar{x}$) & N" for i in range(colPairs)] lines.append(" & ".join(lineArr) + "\\\\") lines.append("\hline") lines.append("\hline") ROWLIMIT = 8 tableData = [[" " for j in range(colPairs*2)] for idx in range(ROWLIMIT)] idx = 0 for M,N in sorted(dimPerfMap): dimPerf = dimPerfMap[(M,N)] j = 0 maxN = -float('inf') maxNIdx = -1 maxN_f = -1 for (f,N) in histoLambda(dimPerf): if N > maxN: maxN = N maxNIdx = j maxN_f = f if j < ROWLIMIT: tableData[j][idx] = str(f) tableData[j][idx+1] = str(N) j+= 1 # Overwrite first row with max tableData[0][idx] = str(maxN_f) tableData[0][idx+1] = str(maxN) idx += 2 maxStatRow = tableData[0] lines.append(" & ".join(maxStatRow) + "\\\\") lines.append("\hline") for tableRow in tableData: lines.append(" & ".join(tableRow) + "\\\\") lines.append("\hline") dimcols = [] idx = 0 summary = [] for M,N in sorted(dimPerfMap): dimPerf = dimPerfMap[(M,N)] if idx == 0: tmplVal = tmpl0 % ("\\^{f} = %s" % str(meanLambda(dimPerf))) elif idx == len(dimPerfMap) - 1: tmplVal = tmplN % ("\\^{f} = %s" % str(meanLambda(dimPerf))) else: tmplVal = tmpl % ("\\^{f} = %s" % str(meanLambda(dimPerf))) dimcols.append(tmplVal) score = str(meanLambda(dimPerf)) summary.append([str(M), str(N), score]) idx += 1 lines.append(" & ".join(dimcols) + "\\\\") lines.append("\hline") lines.append("\end{tabular}") lines.append("\end{adjustbox}") lines.append("\\end{table}") return summary def create_tables(dataname, dimPerfMap, lines, subsectitle): retSummary = [] # lines.append("\subsubsection{DATA:%s | FITNESS}" % (dataname.upper())) histoLambda = lambda dimPerf: dimPerf.scoreFitnessHisto meanLambda = lambda dimPerf: dimPerf.scoreFitnessMean summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header = "%s - fitness" % dataname) retSummary = retSummary + [['fitness', summ[0], summ[1], summ[2]] for summ in summary] # M,N,score # lines.append("\subsubsection{DATA:%s | SELF}" % (dataname.upper())) histoLambda = lambda dimPerf: dimPerf.scoreSelfHisto meanLambda = lambda dimPerf: dimPerf.scoreSelfMean summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header = "%s - self" % dataname) retSummary = retSummary + [['pscore', summ[0], summ[1], summ[2]] for summ in summary] # M,N,score # lines.append("\subsubsection{DATA:%s | COMPETE}" % (dataname.upper())) histoLambda = lambda dimPerf: dimPerf.scoreCompeteHisto meanLambda = lambda dimPerf: dimPerf.scoreCompeteMean summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header = "%s - compete" % dataname) retSummary = retSummary + [['cscore', summ[0], summ[1], summ[2]] for summ in summary] # M,N,score return retSummary def latexify(perfMap): ''' ('rouletteWheel', 'crossover_1p') / (10, 10, 'auth'): (stat.scoreCompeteHisto: [(1.0, 9), (0.9, 1)], stat.scoreCompeteMean: 0.99, stat.scoreSelfHisto: [(0.0, 10)], stat.scoreSelfMean: 0.0, stat.scoreFitnessHisto: [(4.3463447172747323, 1), (7.948375686832958, 1), (3.9489350437230737, 1), (0.34958729407625033, 1), (0.81301756889153154, 1), (3.2477890015590951, 1), (3.581170550257939, 2), (-0.062549850063921664, 2)], stat.scoreFitnessMean: 2.76912907127) Table template: \begin{tabular}{ |c|c||c|c| } \hline \multicolumn{2}{|c||}{col1} & \multicolumn{2}{c|}{col2}\\ \hline \multicolumn{2}{|c||}{m = 10, gc = 10} & \multicolumn{2}{c|}{m = 10, gc = 20}\\ \hline f($\bar{x}$) & N & f($\bar{x}$) & N \\ \hline \hline 100 & 10 & 200 & 20 \\ \hline 100 & 10 & 200 & 20 \\ 100 & 10 & 200 & 20 \\ 100 & 10 & 200 & 20 \\ 100 & 10 & 200 & 20 \\ \hline \multicolumn{2}{|c||}{\^{f} = 150} & \multicolumn{2}{c|}{\^{f} = 15}\\ \hline \end{tabular} ''' lines = [] retSummary = [] for (select, xover), perf1 in perfMap.items(): subsectitle = "SELECTION: %s; CROSSOVER: %s" % (select.upper().replace('_', '-'), xover.upper().replace('CROSSOVER', '').replace('_', '')) lines.append("\subsection{%s}" % subsectitle) dataPerfs = dict() for (M,N,dataname), perf2 in perf1.items(): k = (M,N) if dataname not in dataPerfs: dataPerfs[dataname] = dict() dataPerfs[dataname][k] = perf2 for dataname, dimPerfMap in dataPerfs.items(): dataname = dataname.upper().replace('_', '-') summary = create_tables(dataname, dimPerfMap, lines, subsectitle) select = select.upper().replace('_', '-') xover = xover.upper().replace('CROSSOVER', '').replace('_', '') retSummary = retSummary + [[select, xover, dataname, summ[0], summ[1], summ[2], summ[3]] for summ in summary] # metric, M,N,score print("\n".join(lines)) return retSummary def select_best(summary): ''' select best by dataname, metric ''' summMap = dict() for summ in summary: (select,xover,dataname,metric,M,N,score) = (summ[0], summ[1], summ[2], summ[3], summ[4], summ[5], summ[6]) if (dataname, metric) not in summMap: summMap[(dataname, metric)] = [] summMap[(dataname, metric)].append((summ, score)) ret = [] for (dataname, metric), summArr in summMap.items(): summArrSorted = sorted(summArr, reverse=True, key=lambda kv: kv[1]) ret.append(summArrSorted[0][0]) ret = sorted(ret, key = lambda arr: (arr[2], arr[3])) #sort by dataname, metric return ret def summaryTable(summary): summary = select_best(summary) header = ['select', 'xover', 'dataname', 'metric', 'M', 'N', 'score'] colspecs = "|c|c|c|c|c|c|c|" lines = [] lines.append("\\begin{table}[H]") lines.append("\centering") lines.append("\caption{SUMMARY}") lines.append("\\begin{adjustbox}{width=1\\textwidth}") lines.append("\\begin{tabular}{ %s }" % colspecs) lines.append("\hline") lines.append(" & ".join(header) + "\\\\") lines.append("\hline") for summ in summary: lines.append("\hline") lines.append(" & ".join(summ) + "\\\\") lines.append("\hline") lines.append("\end{tabular}") lines.append("\end{adjustbox}") lines.append("\\end{table}") print("\n".join(lines))

def create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header): col_pairs = len(dimPerfMap) colspecs = '|c|c|' * colPairs lines.append('\\begin{table}[H]') lines.append('\\centering') lines.append('\\caption{%s: %s}' % (subsectitle, header)) lines.append('\\begin{adjustbox}{width=1\\textwidth}') lines.append('\\begin{tabular}{ %s }' % colspecs) lines.append('\\hline') lines.append('\\multicolumn{%s}{|c|}{%s} \\\\' % (str(colPairs * 2), header)) lines.append('\\hline') tmpl0 = '\\multicolumn{2}{|c||}{%s}' tmpl = '\\multicolumn{2}{c||}{%s}' tmpl_n = '\\multicolumn{2}{c|}{%s}' dimcols = [] idx = 0 for (m, n) in sorted(dimPerfMap): if idx == 0: tmpl_val = tmpl0 % ('%s-%s' % (dataname, M)) elif idx == len(dimPerfMap) - 1: tmpl_val = tmplN % ('%s-%s' % (dataname, M)) else: tmpl_val = tmpl % ('%s-%s' % (dataname, M)) dimcols.append(tmplVal) idx += 1 lines.append(' & '.join(dimcols) + '\\\\') lines.append('\\hline') dimcols = [] idx = 0 for (m, n) in sorted(dimPerfMap): if idx == 0: tmpl_val = tmpl0 % ('m = %d, gc = %d' % (M, N)) elif idx == len(dimPerfMap) - 1: tmpl_val = tmplN % ('m = %d, gc = %d' % (M, N)) else: tmpl_val = tmpl % ('m = %d, gc = %d' % (M, N)) dimcols.append(tmplVal) idx += 1 lines.append(' & '.join(dimcols) + '\\\\') lines.append('\\hline') line_arr = ['f($\\bar{x}$) & N' for i in range(colPairs)] lines.append(' & '.join(lineArr) + '\\\\') lines.append('\\hline') lines.append('\\hline') rowlimit = 8 table_data = [[' ' for j in range(colPairs * 2)] for idx in range(ROWLIMIT)] idx = 0 for (m, n) in sorted(dimPerfMap): dim_perf = dimPerfMap[M, N] j = 0 max_n = -float('inf') max_n_idx = -1 max_n_f = -1 for (f, n) in histo_lambda(dimPerf): if N > maxN: max_n = N max_n_idx = j max_n_f = f if j < ROWLIMIT: tableData[j][idx] = str(f) tableData[j][idx + 1] = str(N) j += 1 tableData[0][idx] = str(maxN_f) tableData[0][idx + 1] = str(maxN) idx += 2 max_stat_row = tableData[0] lines.append(' & '.join(maxStatRow) + '\\\\') lines.append('\\hline') for table_row in tableData: lines.append(' & '.join(tableRow) + '\\\\') lines.append('\\hline') dimcols = [] idx = 0 summary = [] for (m, n) in sorted(dimPerfMap): dim_perf = dimPerfMap[M, N] if idx == 0: tmpl_val = tmpl0 % ('\\^{f} = %s' % str(mean_lambda(dimPerf))) elif idx == len(dimPerfMap) - 1: tmpl_val = tmplN % ('\\^{f} = %s' % str(mean_lambda(dimPerf))) else: tmpl_val = tmpl % ('\\^{f} = %s' % str(mean_lambda(dimPerf))) dimcols.append(tmplVal) score = str(mean_lambda(dimPerf)) summary.append([str(M), str(N), score]) idx += 1 lines.append(' & '.join(dimcols) + '\\\\') lines.append('\\hline') lines.append('\\end{tabular}') lines.append('\\end{adjustbox}') lines.append('\\end{table}') return summary def create_tables(dataname, dimPerfMap, lines, subsectitle): ret_summary = [] histo_lambda = lambda dimPerf: dimPerf.scoreFitnessHisto mean_lambda = lambda dimPerf: dimPerf.scoreFitnessMean summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header='%s - fitness' % dataname) ret_summary = retSummary + [['fitness', summ[0], summ[1], summ[2]] for summ in summary] histo_lambda = lambda dimPerf: dimPerf.scoreSelfHisto mean_lambda = lambda dimPerf: dimPerf.scoreSelfMean summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header='%s - self' % dataname) ret_summary = retSummary + [['pscore', summ[0], summ[1], summ[2]] for summ in summary] histo_lambda = lambda dimPerf: dimPerf.scoreCompeteHisto mean_lambda = lambda dimPerf: dimPerf.scoreCompeteMean summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header='%s - compete' % dataname) ret_summary = retSummary + [['cscore', summ[0], summ[1], summ[2]] for summ in summary] return retSummary def latexify(perfMap): """ ('rouletteWheel', 'crossover_1p') / (10, 10, 'auth'): (stat.scoreCompeteHisto: [(1.0, 9), (0.9, 1)], stat.scoreCompeteMean: 0.99, stat.scoreSelfHisto: [(0.0, 10)], stat.scoreSelfMean: 0.0, stat.scoreFitnessHisto: [(4.3463447172747323, 1), (7.948375686832958, 1), (3.9489350437230737, 1), (0.34958729407625033, 1), (0.81301756889153154, 1), (3.2477890015590951, 1), (3.581170550257939, 2), (-0.062549850063921664, 2)], stat.scoreFitnessMean: 2.76912907127) Table template: \x08egin{tabular}{ |c|c||c|c| } \\hline \\multicolumn{2}{|c||}{col1} & \\multicolumn{2}{c|}{col2}\\ \\hline \\multicolumn{2}{|c||}{m = 10, gc = 10} & \\multicolumn{2}{c|}{m = 10, gc = 20}\\ \\hline f($\x08ar{x}$) & N & f($\x08ar{x}$) & N \\ \\hline \\hline 100 & 10 & 200 & 20 \\ \\hline 100 & 10 & 200 & 20 \\ 100 & 10 & 200 & 20 \\ 100 & 10 & 200 & 20 \\ 100 & 10 & 200 & 20 \\ \\hline \\multicolumn{2}{|c||}{\\^{f} = 150} & \\multicolumn{2}{c|}{\\^{f} = 15}\\ \\hline \\end{tabular} """ lines = [] ret_summary = [] for ((select, xover), perf1) in perfMap.items(): subsectitle = 'SELECTION: %s; CROSSOVER: %s' % (select.upper().replace('_', '-'), xover.upper().replace('CROSSOVER', '').replace('_', '')) lines.append('\\subsection{%s}' % subsectitle) data_perfs = dict() for ((m, n, dataname), perf2) in perf1.items(): k = (M, N) if dataname not in dataPerfs: dataPerfs[dataname] = dict() dataPerfs[dataname][k] = perf2 for (dataname, dim_perf_map) in dataPerfs.items(): dataname = dataname.upper().replace('_', '-') summary = create_tables(dataname, dimPerfMap, lines, subsectitle) select = select.upper().replace('_', '-') xover = xover.upper().replace('CROSSOVER', '').replace('_', '') ret_summary = retSummary + [[select, xover, dataname, summ[0], summ[1], summ[2], summ[3]] for summ in summary] print('\n'.join(lines)) return retSummary def select_best(summary): """ select best by dataname, metric """ summ_map = dict() for summ in summary: (select, xover, dataname, metric, m, n, score) = (summ[0], summ[1], summ[2], summ[3], summ[4], summ[5], summ[6]) if (dataname, metric) not in summMap: summMap[dataname, metric] = [] summMap[dataname, metric].append((summ, score)) ret = [] for ((dataname, metric), summ_arr) in summMap.items(): summ_arr_sorted = sorted(summArr, reverse=True, key=lambda kv: kv[1]) ret.append(summArrSorted[0][0]) ret = sorted(ret, key=lambda arr: (arr[2], arr[3])) return ret def summary_table(summary): summary = select_best(summary) header = ['select', 'xover', 'dataname', 'metric', 'M', 'N', 'score'] colspecs = '|c|c|c|c|c|c|c|' lines = [] lines.append('\\begin{table}[H]') lines.append('\\centering') lines.append('\\caption{SUMMARY}') lines.append('\\begin{adjustbox}{width=1\\textwidth}') lines.append('\\begin{tabular}{ %s }' % colspecs) lines.append('\\hline') lines.append(' & '.join(header) + '\\\\') lines.append('\\hline') for summ in summary: lines.append('\\hline') lines.append(' & '.join(summ) + '\\\\') lines.append('\\hline') lines.append('\\end{tabular}') lines.append('\\end{adjustbox}') lines.append('\\end{table}') print('\n'.join(lines))

#!/usr/bin/python FILENAME="arr1new.txt" def matrix2column(filename): """ @filename: a file contains data format looks like <string1: value01, value02, .....> <string2: value11, value12, .....> return: a list looks like [value01, value11, ......, value02, value12......] """ data_list = [] for item in open(filename, 'r'): item = item.strip() item = item.split('\t') if item != '': try: for element in item: data_list.append(float(element)) except ValueError: pass return data_list if __name__ == '__main__': file_2_write = open(FILENAME + ".matrix2column", 'w') data_list = matrix2column(FILENAME) for item in data_list: file_2_write.write(str(item)+"\n")

filename = 'arr1new.txt' def matrix2column(filename): """ @filename: a file contains data format looks like <string1: value01, value02, .....> <string2: value11, value12, .....> return: a list looks like [value01, value11, ......, value02, value12......] """ data_list = [] for item in open(filename, 'r'): item = item.strip() item = item.split('\t') if item != '': try: for element in item: data_list.append(float(element)) except ValueError: pass return data_list if __name__ == '__main__': file_2_write = open(FILENAME + '.matrix2column', 'w') data_list = matrix2column(FILENAME) for item in data_list: file_2_write.write(str(item) + '\n')

example_schema_array = {"type": "array", "items": {"type": "string"}} example_array = ["string"] example_schema_integer = {"type": "integer", "minimum": 3, "maximum": 5} example_integer = 3 example_schema_number = {"type": "number", "minimum": 3, "maximum": 5} example_number = 3.2 example_schema_object = {"type": "object", "properties": {"value": {"type": "integer"}}, "required": ["value"]} example_object = {"value": 1} example_schema_string = {"type": "string", "minLength": 3, "maxLength": 5} example_string = "str" example_response_types = [example_array, example_integer, example_number, example_object, example_string] example_schema_types = [ example_schema_array, example_schema_integer, example_schema_number, example_schema_object, example_schema_string, ]

example_schema_array = {'type': 'array', 'items': {'type': 'string'}} example_array = ['string'] example_schema_integer = {'type': 'integer', 'minimum': 3, 'maximum': 5} example_integer = 3 example_schema_number = {'type': 'number', 'minimum': 3, 'maximum': 5} example_number = 3.2 example_schema_object = {'type': 'object', 'properties': {'value': {'type': 'integer'}}, 'required': ['value']} example_object = {'value': 1} example_schema_string = {'type': 'string', 'minLength': 3, 'maxLength': 5} example_string = 'str' example_response_types = [example_array, example_integer, example_number, example_object, example_string] example_schema_types = [example_schema_array, example_schema_integer, example_schema_number, example_schema_object, example_schema_string]

# region headers # escript-template v20190611 / stephane.bourdeaud@nutanix.com # * author: MITU Bogdan Nicolae (EEAS-EXT) <Bogdan-Nicolae.MITU@ext.eeas.europa.eu> # * stephane.bourdeaud@emeagso.lab # * version: 2019/09/18 # task_name: CalmSetProjectOwner # description: Given a Calm project UUID, updates the owner reference section # in the metadata. # endregion #region capture Calm variables username = "@@{pc.username}@@" username_secret = "@@{pc.secret}@@" api_server = "@@{pc_ip}@@" nutanix_calm_user_uuid = "@@{nutanix_calm_user_uuid}@@" nutanix_calm_user_upn = "@@{calm_username}@@" project_uuid = "@@{project_uuid}@@" #endregion #region prepare api call (get project) api_server_port = "9440" api_server_endpoint = "/api/nutanix/v3/projects_internal/{}".format(project_uuid) url = "https://{}:{}{}".format( api_server, api_server_port, api_server_endpoint ) method = "GET" headers = { 'Content-Type': 'application/json', 'Accept': 'application/json' } #endregion #region make the api call (get project) print("Making a {} API call to {}".format(method, url)) resp = urlreq( url, verb=method, auth='BASIC', user=username, passwd=username_secret, headers=headers, verify=False ) # endregion #region process the results (get project) if resp.ok: print("Successfully retrieved project details for project with uuid {}".format(project_uuid)) project_json = json.loads(resp.content) else: #api call failed print("Request failed") print("Headers: {}".format(headers)) print('Status code: {}'.format(resp.status_code)) print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4))) exit(1) # endregion #region prepare api call (update project with acp) api_server_port = "9440" api_server_endpoint = "/api/nutanix/v3/projects_internal/{}".format(project_uuid) url = "https://{}:{}{}".format( api_server, api_server_port, api_server_endpoint ) method = "PUT" headers = { 'Content-Type': 'application/json', 'Accept': 'application/json' } # Compose the json payload #removing stuff we don't need for the update project_json.pop('status', None) project_json['metadata'].pop('create_time', None) #updating values project_json['metadata']['owner_reference']['uuid'] = nutanix_calm_user_uuid project_json['metadata']['owner_reference']['name'] = nutanix_calm_user_upn for acp in project_json['spec']['access_control_policy_list']: acp["operation"] = "ADD" payload = project_json #endregion #region make the api call (update project with acp) print("Making a {} API call to {}".format(method, url)) resp = urlreq( url, verb=method, auth='BASIC', user=username, passwd=username_secret, params=json.dumps(payload), headers=headers, verify=False ) #endregion #region process the results (update project with acp) if resp.ok: print("Successfully updated the project owner reference to {}".format(nutanix_calm_user_upn)) exit(0) else: #api call failed print("Request failed") print("Headers: {}".format(headers)) print("Payload: {}".format(json.dumps(payload))) print('Status code: {}'.format(resp.status_code)) print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4))) exit(1) #endregion

username = '@@{pc.username}@@' username_secret = '@@{pc.secret}@@' api_server = '@@{pc_ip}@@' nutanix_calm_user_uuid = '@@{nutanix_calm_user_uuid}@@' nutanix_calm_user_upn = '@@{calm_username}@@' project_uuid = '@@{project_uuid}@@' api_server_port = '9440' api_server_endpoint = '/api/nutanix/v3/projects_internal/{}'.format(project_uuid) url = 'https://{}:{}{}'.format(api_server, api_server_port, api_server_endpoint) method = 'GET' headers = {'Content-Type': 'application/json', 'Accept': 'application/json'} print('Making a {} API call to {}'.format(method, url)) resp = urlreq(url, verb=method, auth='BASIC', user=username, passwd=username_secret, headers=headers, verify=False) if resp.ok: print('Successfully retrieved project details for project with uuid {}'.format(project_uuid)) project_json = json.loads(resp.content) else: print('Request failed') print('Headers: {}'.format(headers)) print('Status code: {}'.format(resp.status_code)) print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4))) exit(1) api_server_port = '9440' api_server_endpoint = '/api/nutanix/v3/projects_internal/{}'.format(project_uuid) url = 'https://{}:{}{}'.format(api_server, api_server_port, api_server_endpoint) method = 'PUT' headers = {'Content-Type': 'application/json', 'Accept': 'application/json'} project_json.pop('status', None) project_json['metadata'].pop('create_time', None) project_json['metadata']['owner_reference']['uuid'] = nutanix_calm_user_uuid project_json['metadata']['owner_reference']['name'] = nutanix_calm_user_upn for acp in project_json['spec']['access_control_policy_list']: acp['operation'] = 'ADD' payload = project_json print('Making a {} API call to {}'.format(method, url)) resp = urlreq(url, verb=method, auth='BASIC', user=username, passwd=username_secret, params=json.dumps(payload), headers=headers, verify=False) if resp.ok: print('Successfully updated the project owner reference to {}'.format(nutanix_calm_user_upn)) exit(0) else: print('Request failed') print('Headers: {}'.format(headers)) print('Payload: {}'.format(json.dumps(payload))) print('Status code: {}'.format(resp.status_code)) print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4))) exit(1)

class TCPControlFlags(): def __init__(self): '''Control Bits govern the entire process of connection establishment, data transmissions and connection termination. The control bits are listed as follows, they are''' '''It indicates if we need to use Urgent pointer field or not. If it is set to 1 then only we use Urgent pointer.''' self.URG = 0x0 '''It is set when an acknowledgement is being sent to the sender.''' self.ACK = 0x0 '''When the bit is set, it tells the receiving TCP module to pass the data to the application immediately.''' self.PSH = 0x0 '''When the bit is set, it aborts the connection. It is also used as a negative acknowledgement against a connection request.''' self.RST = 0x0 '''It is used during the initial establishment of a connection. It is set when synchronizing process is initiated.''' self.SYN = 0x0 '''The bit indicates that the host that sent the FIN bit has no more data to send.''' self.FIN = 0x0

class Tcpcontrolflags: def __init__(self): """Control Bits govern the entire process of connection establishment, data transmissions and connection termination. The control bits are listed as follows, they are""" 'It indicates if we need to use Urgent pointer field or not. If it is set to 1 then only we use Urgent pointer.' self.URG = 0 'It is set when an acknowledgement is being sent to the sender.' self.ACK = 0 'When the bit is set, it tells the receiving TCP module to pass the data to the application immediately.' self.PSH = 0 'When the bit is set, it aborts the connection. It is also used as a negative acknowledgement against a connection request.' self.RST = 0 'It is used during the initial establishment of a connection. It is set when synchronizing process is initiated.' self.SYN = 0 'The bit indicates that the host that sent the FIN bit has no more data to send.' self.FIN = 0

def isPalindrome(string): if len(string) <= 1: return True else: return string[0] == string[-1] and isPalindrome(string[1:-1]) userInput = input("Please enter a sequence to check if it is an palindrome: ") answer = isPalindrome(userInput) print("Is '" + userInput + "' an palindrome? " + str(answer))

def is_palindrome(string): if len(string) <= 1: return True else: return string[0] == string[-1] and is_palindrome(string[1:-1]) user_input = input('Please enter a sequence to check if it is an palindrome: ') answer = is_palindrome(userInput) print("Is '" + userInput + "' an palindrome? " + str(answer))

#! /usr/bin/env python3 # # === This file is part of Calamares - <https://calamares.io> === # # SPDX-FileCopyrightText: 2019 Adriaan de Groot <groot@kde.org> # SPDX-License-Identifier: BSD-2-Clause # """ Python3 script to scrape some data out of zoneinfo/zone.tab. To use this script, you must have a zone.tab in a standard location, /usr/share/zoneinfo/zone.tab (this is usual on FreeBSD and Linux). Prints out a few tables of zone names for use in translations. """ def scrape_file(file, regionset, zoneset): for line in file.readlines(): if line.startswith("#"): continue parts = line.split("\t") if len(parts) < 3: continue zoneid = parts[2] if not "/" in zoneid: continue region, zone = zoneid.split("/", 1) zone = zone.strip().replace("_", " ") regionset.add(region) assert(zone not in zoneset) zoneset.add(zone) def write_set(file, label, set): file.write("/* This returns a reference to local, which is a terrible idea.\n * Good thing it's not meant to be compiled.\n */\n") # Note {{ is an escaped { for Python string formatting file.write("static const QStringList& {!s}_table()\n{{\n\treturn QStringList {{\n".format(label)) for x in sorted(set): file.write("""\t\tQObject::tr("{!s}", "{!s}"),\n""".format(x, label)) file.write("\t\tQString()\n\t};\n}\n\n") cpp_header_comment = """/* GENERATED FILE DO NOT EDIT * * === This file is part of Calamares - <https://calamares.io> === * * SPDX-FileCopyrightText: 2009 Arthur David Olson * SPDX-FileCopyrightText: 2019 Adriaan de Groot <groot@kde.org> * SPDX-License-Identifier: CC0-1.0 * * This file is derived from zone.tab, which has its own copyright statement: * * This file is in the public domain, so clarified as of * 2009-05-17 by Arthur David Olson. * * From Paul Eggert (2018-06-27): * This file is intended as a backward-compatibility aid for older programs. * New programs should use zone1970.tab. This file is like zone1970.tab (see * zone1970.tab's comments), but with the following additional restrictions: * * 1. This file contains only ASCII characters. * 2. The first data column contains exactly one country code. * */ /** THIS FILE EXISTS ONLY FOR TRANSLATIONS PURPOSES **/ // *INDENT-OFF* // clang-format off """ if __name__ == "__main__": regions=set() zones=set() with open("/usr/share/zoneinfo/zone.tab", "r") as f: scrape_file(f, regions, zones) with open("ZoneData_p.cpp", "w") as f: f.write(cpp_header_comment) write_set(f, "tz_regions", regions) write_set(f, "tz_names", zones)

""" Python3 script to scrape some data out of zoneinfo/zone.tab. To use this script, you must have a zone.tab in a standard location, /usr/share/zoneinfo/zone.tab (this is usual on FreeBSD and Linux). Prints out a few tables of zone names for use in translations. """ def scrape_file(file, regionset, zoneset): for line in file.readlines(): if line.startswith('#'): continue parts = line.split('\t') if len(parts) < 3: continue zoneid = parts[2] if not '/' in zoneid: continue (region, zone) = zoneid.split('/', 1) zone = zone.strip().replace('_', ' ') regionset.add(region) assert zone not in zoneset zoneset.add(zone) def write_set(file, label, set): file.write("/* This returns a reference to local, which is a terrible idea.\n * Good thing it's not meant to be compiled.\n */\n") file.write('static const QStringList& {!s}_table()\n{{\n\treturn QStringList {{\n'.format(label)) for x in sorted(set): file.write('\t\tQObject::tr("{!s}", "{!s}"),\n'.format(x, label)) file.write('\t\tQString()\n\t};\n}\n\n') cpp_header_comment = "/* GENERATED FILE DO NOT EDIT\n*\n* === This file is part of Calamares - <https://calamares.io> ===\n*\n* SPDX-FileCopyrightText: 2009 Arthur David Olson\n* SPDX-FileCopyrightText: 2019 Adriaan de Groot <groot@kde.org>\n* SPDX-License-Identifier: CC0-1.0\n*\n* This file is derived from zone.tab, which has its own copyright statement:\n*\n* This file is in the public domain, so clarified as of\n* 2009-05-17 by Arthur David Olson.\n*\n* From Paul Eggert (2018-06-27):\n* This file is intended as a backward-compatibility aid for older programs.\n* New programs should use zone1970.tab. This file is like zone1970.tab (see\n* zone1970.tab's comments), but with the following additional restrictions:\n*\n* 1. This file contains only ASCII characters.\n* 2. The first data column contains exactly one country code.\n*\n*/\n\n/** THIS FILE EXISTS ONLY FOR TRANSLATIONS PURPOSES **/\n\n// *INDENT-OFF*\n// clang-format off\n" if __name__ == '__main__': regions = set() zones = set() with open('/usr/share/zoneinfo/zone.tab', 'r') as f: scrape_file(f, regions, zones) with open('ZoneData_p.cpp', 'w') as f: f.write(cpp_header_comment) write_set(f, 'tz_regions', regions) write_set(f, 'tz_names', zones)

N = int(input()) A = [int(n) for n in input().split()] Aset = set(A) m = (10**9+7) o = {} ans = [] for a in A: o.setdefault(a, 0) o[a] += 1 for i in range(len(Aset)-1): for j in range(i+1, len(Aset)): ans.append((A[i]^A[j])*o[A[i]]*o[A[j]]) print(sum(ans)/m)

n = int(input()) a = [int(n) for n in input().split()] aset = set(A) m = 10 ** 9 + 7 o = {} ans = [] for a in A: o.setdefault(a, 0) o[a] += 1 for i in range(len(Aset) - 1): for j in range(i + 1, len(Aset)): ans.append((A[i] ^ A[j]) * o[A[i]] * o[A[j]]) print(sum(ans) / m)

# DOWNLOADER_MIDDLEWARES = {} # DOWNLOADER_MIDDLEWARES.update({ # 'scrapy.downloadermiddlewares.httpcache.HttpCacheMiddleware': None, # 'scrapy_httpcache.downloadermiddlewares.httpcache.AsyncHttpCacheMiddleware': 900, # }) HTTPCACHE_STORAGE = 'scrapy_httpcache.extensions.httpcache_storage.MongoDBCacheStorage' HTTPCACHE_MONGODB_HOST = '127.0.0.1' HTTPCACHE_MONGODB_PORT = 27017 HTTPCACHE_MONGODB_USERNAME = None HTTPCACHE_MONGODB_PASSWORD = None HTTPCACHE_MONGODB_AUTH_DB = None HTTPCACHE_MONGODB_DB = 'cache_storage' HTTPCACHE_MONGODB_COLL = 'cache' HTTPCACHE_MONGODB_COLL_INDEX = [[('fingerprint', 1)]] HTTPCACHE_MONGODB_CONNECTION_POOL_KWARGS = {} BANNED_STORAGE = 'scrapy_httpcache.extensions.banned_storage.MongoBannedStorage' BANNED_MONGODB_COLL = 'banned' BANNED_MONGODB_COLL_INDEX = [[('fingerprint', 1)]] REQUEST_ERROR_STORAGE = 'scrapy_httpcache.extensions.request_error_storage.MongoRequestErrorStorage' REQUEST_ERROR_MONGODB_COLL = 'request_error' REQUEST_ERROR_MONGODB_COLL_INDEX = [[('fingerprint', 1)]]

httpcache_storage = 'scrapy_httpcache.extensions.httpcache_storage.MongoDBCacheStorage' httpcache_mongodb_host = '127.0.0.1' httpcache_mongodb_port = 27017 httpcache_mongodb_username = None httpcache_mongodb_password = None httpcache_mongodb_auth_db = None httpcache_mongodb_db = 'cache_storage' httpcache_mongodb_coll = 'cache' httpcache_mongodb_coll_index = [[('fingerprint', 1)]] httpcache_mongodb_connection_pool_kwargs = {} banned_storage = 'scrapy_httpcache.extensions.banned_storage.MongoBannedStorage' banned_mongodb_coll = 'banned' banned_mongodb_coll_index = [[('fingerprint', 1)]] request_error_storage = 'scrapy_httpcache.extensions.request_error_storage.MongoRequestErrorStorage' request_error_mongodb_coll = 'request_error' request_error_mongodb_coll_index = [[('fingerprint', 1)]]

def flatten(aList): myList = [] for el in aList: if isinstance(el, list) or isinstance(el, tuple): myList.extend(flatten(el)) else: myList.append(el) return myList

def flatten(aList): my_list = [] for el in aList: if isinstance(el, list) or isinstance(el, tuple): myList.extend(flatten(el)) else: myList.append(el) return myList

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") def zlib(): if "zlib" not in native.existing_rules(): http_archive( name = "zlib", build_file = "//third_party/zlib:zlib.BUILD", sha256 = "91844808532e5ce316b3c010929493c0244f3d37593afd6de04f71821d5136d9", strip_prefix = "zlib-1.2.12", url = "https://zlib.net/zlib-1.2.12.tar.gz", )

load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_archive') def zlib(): if 'zlib' not in native.existing_rules(): http_archive(name='zlib', build_file='//third_party/zlib:zlib.BUILD', sha256='91844808532e5ce316b3c010929493c0244f3d37593afd6de04f71821d5136d9', strip_prefix='zlib-1.2.12', url='https://zlib.net/zlib-1.2.12.tar.gz')

class Sampler(object): def __init__(self): self._params = None self._dim = None self._iteration = 0 def setParameters(self, params): self._params = params self._dim = params.getStochasticDim() def nextSamples(self, *args, **kws): raise NotImplementedError() def learnData(self, *args, **kws): raise NotImplementedError() def hasMoreSamples(self): raise NotImplementedError()

class Sampler(object): def __init__(self): self._params = None self._dim = None self._iteration = 0 def set_parameters(self, params): self._params = params self._dim = params.getStochasticDim() def next_samples(self, *args, **kws): raise not_implemented_error() def learn_data(self, *args, **kws): raise not_implemented_error() def has_more_samples(self): raise not_implemented_error()

class Trie: def __init__(self): """ Initialize your data structure here. """ self.main_trie = dict() def insert(self, word: str) -> None: """ Inserts a word into the trie. """ nav = self.main_trie #print(f"Inserting {word}") for c in word: if c in nav: nav = nav[c] else: nav[c] = dict() nav = nav[c] # is it word (?) nav[True] = True def search(self, word: str) -> bool: """ Returns if the word is in the trie. """ nav = self.main_trie for c in word: if c in nav: nav = nav[c] continue return False return True in nav def startsWith(self, prefix: str) -> bool: """ Returns if there is any word in the trie that starts with the given prefix. """ nav = self.main_trie for c in prefix: if c in nav: nav = nav[c] continue return False return True # Trie object should be instantiated and called as such: # obj = Trie() # obj.insert(word) # param_2 = obj.search(word) # search for word in trie # param_3 = obj.startsWith(prefix) # return true if word exists in Trie

class Trie: def __init__(self): """ Initialize your data structure here. """ self.main_trie = dict() def insert(self, word: str) -> None: """ Inserts a word into the trie. """ nav = self.main_trie for c in word: if c in nav: nav = nav[c] else: nav[c] = dict() nav = nav[c] nav[True] = True def search(self, word: str) -> bool: """ Returns if the word is in the trie. """ nav = self.main_trie for c in word: if c in nav: nav = nav[c] continue return False return True in nav def starts_with(self, prefix: str) -> bool: """ Returns if there is any word in the trie that starts with the given prefix. """ nav = self.main_trie for c in prefix: if c in nav: nav = nav[c] continue return False return True

# def calcula_investimento(inv, mes, tipo): # seleciona tipo de investimento # CDB if tipo == 'CDB': for i in range(1, mes + 1): inv = inv * 1.013 if i % 6 == 0: inv = inv * 1.012 # LCI elif tipo == 'LCI': inv = inv*1.016**(mes) '''for i in range(1, mes + 1): inv = inv * 1.016''' # LCA else: for i in range(1, mes + 1): inv = inv * 1.0145 if i % 4 == 0: inv = inv * 1.01 return inv

def calcula_investimento(inv, mes, tipo): if tipo == 'CDB': for i in range(1, mes + 1): inv = inv * 1.013 if i % 6 == 0: inv = inv * 1.012 elif tipo == 'LCI': inv = inv * 1.016 ** mes 'for i in range(1, mes + 1):\n inv = inv * 1.016' else: for i in range(1, mes + 1): inv = inv * 1.0145 if i % 4 == 0: inv = inv * 1.01 return inv

#!/usr/bin/env python3 def collatz(x): if x <= 0: raise ValueError("Collatz has become 0") if (x % 2) == 0: return x/2 else: return 3*x+1 if __name__ == "__main__": number = 10 print("Ausgangszahl: ", number) iteration = 0 while True: number = collatz(number) iteration += 1 print("Iteration ", iteration, ": ", number) input("")

def collatz(x): if x <= 0: raise value_error('Collatz has become 0') if x % 2 == 0: return x / 2 else: return 3 * x + 1 if __name__ == '__main__': number = 10 print('Ausgangszahl: ', number) iteration = 0 while True: number = collatz(number) iteration += 1 print('Iteration ', iteration, ': ', number) input('')

''' 256 definitions cause LOAD_NAME and LOAD_CONST to both require EXTENDED_ARGS. Generated with: `for i in range(0, 0xff, 0x10): print(*[f'x{j:02x}=0x{j:02x}' for j in range(i, i+0x10)], sep='; ')` ''' x00=0x00; x01=0x01; x02=0x02; x03=0x03; x04=0x04; x05=0x05; x06=0x06; x07=0x07; x08=0x08; x09=0x09; x0a=0x0a; x0b=0x0b; x0c=0x0c; x0d=0x0d; x0e=0x0e; x0f=0x0f x10=0x10; x11=0x11; x12=0x12; x13=0x13; x14=0x14; x15=0x15; x16=0x16; x17=0x17; x18=0x18; x19=0x19; x1a=0x1a; x1b=0x1b; x1c=0x1c; x1d=0x1d; x1e=0x1e; x1f=0x1f x20=0x20; x21=0x21; x22=0x22; x23=0x23; x24=0x24; x25=0x25; x26=0x26; x27=0x27; x28=0x28; x29=0x29; x2a=0x2a; x2b=0x2b; x2c=0x2c; x2d=0x2d; x2e=0x2e; x2f=0x2f x30=0x30; x31=0x31; x32=0x32; x33=0x33; x34=0x34; x35=0x35; x36=0x36; x37=0x37; x38=0x38; x39=0x39; x3a=0x3a; x3b=0x3b; x3c=0x3c; x3d=0x3d; x3e=0x3e; x3f=0x3f x40=0x40; x41=0x41; x42=0x42; x43=0x43; x44=0x44; x45=0x45; x46=0x46; x47=0x47; x48=0x48; x49=0x49; x4a=0x4a; x4b=0x4b; x4c=0x4c; x4d=0x4d; x4e=0x4e; x4f=0x4f x50=0x50; x51=0x51; x52=0x52; x53=0x53; x54=0x54; x55=0x55; x56=0x56; x57=0x57; x58=0x58; x59=0x59; x5a=0x5a; x5b=0x5b; x5c=0x5c; x5d=0x5d; x5e=0x5e; x5f=0x5f x60=0x60; x61=0x61; x62=0x62; x63=0x63; x64=0x64; x65=0x65; x66=0x66; x67=0x67; x68=0x68; x69=0x69; x6a=0x6a; x6b=0x6b; x6c=0x6c; x6d=0x6d; x6e=0x6e; x6f=0x6f x70=0x70; x71=0x71; x72=0x72; x73=0x73; x74=0x74; x75=0x75; x76=0x76; x77=0x77; x78=0x78; x79=0x79; x7a=0x7a; x7b=0x7b; x7c=0x7c; x7d=0x7d; x7e=0x7e; x7f=0x7f x80=0x80; x81=0x81; x82=0x82; x83=0x83; x84=0x84; x85=0x85; x86=0x86; x87=0x87; x88=0x88; x89=0x89; x8a=0x8a; x8b=0x8b; x8c=0x8c; x8d=0x8d; x8e=0x8e; x8f=0x8f x90=0x90; x91=0x91; x92=0x92; x93=0x93; x94=0x94; x95=0x95; x96=0x96; x97=0x97; x98=0x98; x99=0x99; x9a=0x9a; x9b=0x9b; x9c=0x9c; x9d=0x9d; x9e=0x9e; x9f=0x9f xa0=0xa0; xa1=0xa1; xa2=0xa2; xa3=0xa3; xa4=0xa4; xa5=0xa5; xa6=0xa6; xa7=0xa7; xa8=0xa8; xa9=0xa9; xaa=0xaa; xab=0xab; xac=0xac; xad=0xad; xae=0xae; xaf=0xaf xb0=0xb0; xb1=0xb1; xb2=0xb2; xb3=0xb3; xb4=0xb4; xb5=0xb5; xb6=0xb6; xb7=0xb7; xb8=0xb8; xb9=0xb9; xba=0xba; xbb=0xbb; xbc=0xbc; xbd=0xbd; xbe=0xbe; xbf=0xbf xc0=0xc0; xc1=0xc1; xc2=0xc2; xc3=0xc3; xc4=0xc4; xc5=0xc5; xc6=0xc6; xc7=0xc7; xc8=0xc8; xc9=0xc9; xca=0xca; xcb=0xcb; xcc=0xcc; xcd=0xcd; xce=0xce; xcf=0xcf xd0=0xd0; xd1=0xd1; xd2=0xd2; xd3=0xd3; xd4=0xd4; xd5=0xd5; xd6=0xd6; xd7=0xd7; xd8=0xd8; xd9=0xd9; xda=0xda; xdb=0xdb; xdc=0xdc; xdd=0xdd; xde=0xde; xdf=0xdf xe0=0xe0; xe1=0xe1; xe2=0xe2; xe3=0xe3; xe4=0xe4; xe5=0xe5; xe6=0xe6; xe7=0xe7; xe8=0xe8; xe9=0xe9; xea=0xea; xeb=0xeb; xec=0xec; xed=0xed; xee=0xee; xef=0xef xf0=0xf0; xf1=0xf1; xf2=0xf2; xf3=0xf3; xf4=0xf4; xf5=0xf5; xf6=0xf6; xf7=0xf7; xf8=0xf8; xf9=0xf9; xfa=0xfa; xfb=0xfb; xfc=0xfc; xfd=0xfd; xfe=0xfe; xff=0xff cond = False for i in range(2): if i: continue def main(): pass if __name__ == '__main__': main()

""" 256 definitions cause LOAD_NAME and LOAD_CONST to both require EXTENDED_ARGS. Generated with: `for i in range(0, 0xff, 0x10): print(*[f'x{j:02x}=0x{j:02x}' for j in range(i, i+0x10)], sep='; ')` """ x00 = 0 x01 = 1 x02 = 2 x03 = 3 x04 = 4 x05 = 5 x06 = 6 x07 = 7 x08 = 8 x09 = 9 x0a = 10 x0b = 11 x0c = 12 x0d = 13 x0e = 14 x0f = 15 x10 = 16 x11 = 17 x12 = 18 x13 = 19 x14 = 20 x15 = 21 x16 = 22 x17 = 23 x18 = 24 x19 = 25 x1a = 26 x1b = 27 x1c = 28 x1d = 29 x1e = 30 x1f = 31 x20 = 32 x21 = 33 x22 = 34 x23 = 35 x24 = 36 x25 = 37 x26 = 38 x27 = 39 x28 = 40 x29 = 41 x2a = 42 x2b = 43 x2c = 44 x2d = 45 x2e = 46 x2f = 47 x30 = 48 x31 = 49 x32 = 50 x33 = 51 x34 = 52 x35 = 53 x36 = 54 x37 = 55 x38 = 56 x39 = 57 x3a = 58 x3b = 59 x3c = 60 x3d = 61 x3e = 62 x3f = 63 x40 = 64 x41 = 65 x42 = 66 x43 = 67 x44 = 68 x45 = 69 x46 = 70 x47 = 71 x48 = 72 x49 = 73 x4a = 74 x4b = 75 x4c = 76 x4d = 77 x4e = 78 x4f = 79 x50 = 80 x51 = 81 x52 = 82 x53 = 83 x54 = 84 x55 = 85 x56 = 86 x57 = 87 x58 = 88 x59 = 89 x5a = 90 x5b = 91 x5c = 92 x5d = 93 x5e = 94 x5f = 95 x60 = 96 x61 = 97 x62 = 98 x63 = 99 x64 = 100 x65 = 101 x66 = 102 x67 = 103 x68 = 104 x69 = 105 x6a = 106 x6b = 107 x6c = 108 x6d = 109 x6e = 110 x6f = 111 x70 = 112 x71 = 113 x72 = 114 x73 = 115 x74 = 116 x75 = 117 x76 = 118 x77 = 119 x78 = 120 x79 = 121 x7a = 122 x7b = 123 x7c = 124 x7d = 125 x7e = 126 x7f = 127 x80 = 128 x81 = 129 x82 = 130 x83 = 131 x84 = 132 x85 = 133 x86 = 134 x87 = 135 x88 = 136 x89 = 137 x8a = 138 x8b = 139 x8c = 140 x8d = 141 x8e = 142 x8f = 143 x90 = 144 x91 = 145 x92 = 146 x93 = 147 x94 = 148 x95 = 149 x96 = 150 x97 = 151 x98 = 152 x99 = 153 x9a = 154 x9b = 155 x9c = 156 x9d = 157 x9e = 158 x9f = 159 xa0 = 160 xa1 = 161 xa2 = 162 xa3 = 163 xa4 = 164 xa5 = 165 xa6 = 166 xa7 = 167 xa8 = 168 xa9 = 169 xaa = 170 xab = 171 xac = 172 xad = 173 xae = 174 xaf = 175 xb0 = 176 xb1 = 177 xb2 = 178 xb3 = 179 xb4 = 180 xb5 = 181 xb6 = 182 xb7 = 183 xb8 = 184 xb9 = 185 xba = 186 xbb = 187 xbc = 188 xbd = 189 xbe = 190 xbf = 191 xc0 = 192 xc1 = 193 xc2 = 194 xc3 = 195 xc4 = 196 xc5 = 197 xc6 = 198 xc7 = 199 xc8 = 200 xc9 = 201 xca = 202 xcb = 203 xcc = 204 xcd = 205 xce = 206 xcf = 207 xd0 = 208 xd1 = 209 xd2 = 210 xd3 = 211 xd4 = 212 xd5 = 213 xd6 = 214 xd7 = 215 xd8 = 216 xd9 = 217 xda = 218 xdb = 219 xdc = 220 xdd = 221 xde = 222 xdf = 223 xe0 = 224 xe1 = 225 xe2 = 226 xe3 = 227 xe4 = 228 xe5 = 229 xe6 = 230 xe7 = 231 xe8 = 232 xe9 = 233 xea = 234 xeb = 235 xec = 236 xed = 237 xee = 238 xef = 239 xf0 = 240 xf1 = 241 xf2 = 242 xf3 = 243 xf4 = 244 xf5 = 245 xf6 = 246 xf7 = 247 xf8 = 248 xf9 = 249 xfa = 250 xfb = 251 xfc = 252 xfd = 253 xfe = 254 xff = 255 cond = False for i in range(2): if i: continue def main(): pass if __name__ == '__main__': main()

# This function tells a user whether or not a number is prime def isPrime(number): # this will tell us if the number is prime, set to True automatically # We will set to False if the number is divisible by any number less than it number_is_prime = True # loop over all numbers less than the input number for i in range(2, number): # calculate the remainder remainder = number % i # if the remainder is 0, then the number is not prime by definition! if remainder == 0: number_is_prime = False # return result to the user return number_is_prime

def is_prime(number): number_is_prime = True for i in range(2, number): remainder = number % i if remainder == 0: number_is_prime = False return number_is_prime

class Solution: def longestCommonSubstring(self, a, b): matrix = [[0 for _ in range(len(b))] for _ in range((len(a)))] z = 0 ret = [] for i in range(len(a)): for j in range(len(b)): if a[i] == b[j]: if i == 0 or j == 0: matrix[i][j] = 1 else: matrix[i][j] = matrix[i - 1][j - 1] + 1 if matrix[i][j] > z: z = matrix[i][j] ret = [a[i - z + 1: i + 1]] elif matrix[i][j] == z: ret.append(a[i - z + 1: i + 1]) else: matrix[i][j] = 0 return ret sol = Solution() a = 'caba' b = 'caba' res = sol.longestCommonSubstring(a, b) print(res) a = 'wallacetambemsechamafelipecujosobrenomeficafranciscoecardosotambem' b = 'euwallacefelipefranciscocardososoucientista' res = sol.longestCommonSubstring(a, b) print(res)

class Solution: def longest_common_substring(self, a, b): matrix = [[0 for _ in range(len(b))] for _ in range(len(a))] z = 0 ret = [] for i in range(len(a)): for j in range(len(b)): if a[i] == b[j]: if i == 0 or j == 0: matrix[i][j] = 1 else: matrix[i][j] = matrix[i - 1][j - 1] + 1 if matrix[i][j] > z: z = matrix[i][j] ret = [a[i - z + 1:i + 1]] elif matrix[i][j] == z: ret.append(a[i - z + 1:i + 1]) else: matrix[i][j] = 0 return ret sol = solution() a = 'caba' b = 'caba' res = sol.longestCommonSubstring(a, b) print(res) a = 'wallacetambemsechamafelipecujosobrenomeficafranciscoecardosotambem' b = 'euwallacefelipefranciscocardososoucientista' res = sol.longestCommonSubstring(a, b) print(res)

# Copyright (c) 2020 The Khronos Group Inc. # # 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. def _split_counter_from_name(str): if len(str) > 0 and not str[-1].isdigit(): return str, None i = len(str) while i > 0: if not str[i-1].isdigit(): return str[:i], int(str[i:]) i -= 1 return None, int(str) def generate_tensor_names_from_op_type(graph, keep_io_names=False): used_names = set() if keep_io_names: used_names.update(tensor.name for tensor in graph.inputs if tensor.name is not None) used_names.update(tensor.name for tensor in graph.outputs if tensor.name is not None) op_counts = {} for op in graph.operations: for tensor in op.outputs: if keep_io_names and tensor.name is not None and (tensor in graph.inputs or tensor in graph.outputs): continue idx = op_counts.get(op.type, 0) + 1 while op.type + str(idx) in used_names: idx += 1 op_counts[op.type] = idx tensor.name = op.type + str(idx) for tensor in graph.tensors: if tensor.producer is None: tensor.name = None def generate_missing_tensor_names_from_op_type(graph): counters = {} for tensor in graph.tensors: if tensor.name is not None: name, count = _split_counter_from_name(tensor.name) if name is not None and count is not None: counters[name] = max(counters.get(name, 0), count) for tensor in graph.tensors: if tensor.name is None and tensor.producer is not None: op = tensor.producer idx = counters.get(op.type, 0) + 1 counters[op.type] = idx tensor.name = op.type + str(idx) def generate_op_names_from_op_type(graph): op_counts = {} for op in graph.operations: idx = op_counts.get(op.type, 0) + 1 op_counts[op.type] = idx op.name = op.type + str(idx) def replace_tensor_in_graph_inputs(graph, old_tensor, new_tensor): graph.inputs = [new_tensor if t is old_tensor else t for t in graph.inputs] def replace_tensor_in_graph_outputs(graph, old_tensor, new_tensor): graph.outputs = [new_tensor if t is old_tensor else t for t in graph.outputs] def replace_tensor_in_consumers(graph, old_tensor, new_tensor): for consumer in list(old_tensor.consumers): # copy list to avoid changes during iteration sequence = tuple if isinstance(consumer.inputs, tuple) else list consumer.inputs = sequence(new_tensor if t is old_tensor else t for t in consumer.inputs) replace_tensor_in_graph_outputs(graph, old_tensor, new_tensor) def replace_tensor_in_producers(graph, old_tensor, new_tensor): for producer in list(old_tensor.producers): # copy list to avoid changes during iteration sequence = tuple if isinstance(producer.outputs, tuple) else list producer.outputs = sequence(new_tensor if t is old_tensor else t for t in producer.outputs) replace_tensor_in_graph_inputs(graph, old_tensor, new_tensor) def bypass_and_remove(graph, op, remove_input_not_output=False): assert len(op.outputs) == 1 and len(op.inputs) == 1 op_input = op.input op_output = op.output graph.remove_operation(op, unlink=True) if remove_input_not_output: replace_tensor_in_consumers(graph, op_input, op_output) replace_tensor_in_producers(graph, op_input, op_output) graph.remove_tensor(op_input) else: replace_tensor_in_consumers(graph, op_output, op_input) replace_tensor_in_producers(graph, op_output, op_input) graph.remove_tensor(op_output) def replace_chain(graph, types, func, allow_forks=False): def _match_type(type, template): return type in template if isinstance(template, set) else type == template def _match_link(op, template, is_last): return _match_type(op.type, template) and (len(op.outputs) == 1 or is_last) def _match_chain(op, types, allow_forks): if not _match_link(op, types[0], is_last=len(types) == 1): return None chain = [op] tensor = op.output for idx, type in enumerate(types[1:]): is_last = idx + 1 == len(types) - 1 if not allow_forks and len(tensor.consumers) > 1: return None op = next((consumer for consumer in tensor.consumers if _match_link(consumer, type, is_last)), None) if op is None: return None chain.append(op) if not is_last: tensor = op.output return chain changed = False i = 0 while i < len(graph.operations): count = len(graph.operations) chain = _match_chain(graph.operations[i], types, allow_forks) if chain is not None and func(*chain) is not False: k = i while graph.operations[k] is not chain[-1]: k += 1 for j in range(count, len(graph.operations)): graph.move_operation(j, k) k += 1 offs = len(chain) - 1 while offs > 0 and len(chain[offs - 1].output.consumers) == 1: offs -= 1 interns = [op.output for op in chain[offs:-1]] graph.remove_operations(chain[offs:], unlink=True) graph.remove_tensors(interns) changed = True else: i += 1 return changed def remove_unreachable(graph): visited = {tensor.producer for tensor in graph.outputs} queue = list(visited) k = 0 while k < len(queue): op = queue[k] k += 1 for tensor in op.inputs: if tensor.producer is not None and tensor.producer not in visited and \ (tensor not in graph.inputs or len(tensor.producer.inputs) == 0): visited.add(tensor.producer) queue.append(tensor.producer) graph.remove_operations({op for op in graph.operations if op not in visited}, unlink=True) graph.remove_tensors({tensor for tensor in graph.tensors if len(tensor.producers) == 0 and len(tensor.consumers) == 0 and tensor not in graph.inputs and tensor not in graph.outputs})

def _split_counter_from_name(str): if len(str) > 0 and (not str[-1].isdigit()): return (str, None) i = len(str) while i > 0: if not str[i - 1].isdigit(): return (str[:i], int(str[i:])) i -= 1 return (None, int(str)) def generate_tensor_names_from_op_type(graph, keep_io_names=False): used_names = set() if keep_io_names: used_names.update((tensor.name for tensor in graph.inputs if tensor.name is not None)) used_names.update((tensor.name for tensor in graph.outputs if tensor.name is not None)) op_counts = {} for op in graph.operations: for tensor in op.outputs: if keep_io_names and tensor.name is not None and (tensor in graph.inputs or tensor in graph.outputs): continue idx = op_counts.get(op.type, 0) + 1 while op.type + str(idx) in used_names: idx += 1 op_counts[op.type] = idx tensor.name = op.type + str(idx) for tensor in graph.tensors: if tensor.producer is None: tensor.name = None def generate_missing_tensor_names_from_op_type(graph): counters = {} for tensor in graph.tensors: if tensor.name is not None: (name, count) = _split_counter_from_name(tensor.name) if name is not None and count is not None: counters[name] = max(counters.get(name, 0), count) for tensor in graph.tensors: if tensor.name is None and tensor.producer is not None: op = tensor.producer idx = counters.get(op.type, 0) + 1 counters[op.type] = idx tensor.name = op.type + str(idx) def generate_op_names_from_op_type(graph): op_counts = {} for op in graph.operations: idx = op_counts.get(op.type, 0) + 1 op_counts[op.type] = idx op.name = op.type + str(idx) def replace_tensor_in_graph_inputs(graph, old_tensor, new_tensor): graph.inputs = [new_tensor if t is old_tensor else t for t in graph.inputs] def replace_tensor_in_graph_outputs(graph, old_tensor, new_tensor): graph.outputs = [new_tensor if t is old_tensor else t for t in graph.outputs] def replace_tensor_in_consumers(graph, old_tensor, new_tensor): for consumer in list(old_tensor.consumers): sequence = tuple if isinstance(consumer.inputs, tuple) else list consumer.inputs = sequence((new_tensor if t is old_tensor else t for t in consumer.inputs)) replace_tensor_in_graph_outputs(graph, old_tensor, new_tensor) def replace_tensor_in_producers(graph, old_tensor, new_tensor): for producer in list(old_tensor.producers): sequence = tuple if isinstance(producer.outputs, tuple) else list producer.outputs = sequence((new_tensor if t is old_tensor else t for t in producer.outputs)) replace_tensor_in_graph_inputs(graph, old_tensor, new_tensor) def bypass_and_remove(graph, op, remove_input_not_output=False): assert len(op.outputs) == 1 and len(op.inputs) == 1 op_input = op.input op_output = op.output graph.remove_operation(op, unlink=True) if remove_input_not_output: replace_tensor_in_consumers(graph, op_input, op_output) replace_tensor_in_producers(graph, op_input, op_output) graph.remove_tensor(op_input) else: replace_tensor_in_consumers(graph, op_output, op_input) replace_tensor_in_producers(graph, op_output, op_input) graph.remove_tensor(op_output) def replace_chain(graph, types, func, allow_forks=False): def _match_type(type, template): return type in template if isinstance(template, set) else type == template def _match_link(op, template, is_last): return _match_type(op.type, template) and (len(op.outputs) == 1 or is_last) def _match_chain(op, types, allow_forks): if not _match_link(op, types[0], is_last=len(types) == 1): return None chain = [op] tensor = op.output for (idx, type) in enumerate(types[1:]): is_last = idx + 1 == len(types) - 1 if not allow_forks and len(tensor.consumers) > 1: return None op = next((consumer for consumer in tensor.consumers if _match_link(consumer, type, is_last)), None) if op is None: return None chain.append(op) if not is_last: tensor = op.output return chain changed = False i = 0 while i < len(graph.operations): count = len(graph.operations) chain = _match_chain(graph.operations[i], types, allow_forks) if chain is not None and func(*chain) is not False: k = i while graph.operations[k] is not chain[-1]: k += 1 for j in range(count, len(graph.operations)): graph.move_operation(j, k) k += 1 offs = len(chain) - 1 while offs > 0 and len(chain[offs - 1].output.consumers) == 1: offs -= 1 interns = [op.output for op in chain[offs:-1]] graph.remove_operations(chain[offs:], unlink=True) graph.remove_tensors(interns) changed = True else: i += 1 return changed def remove_unreachable(graph): visited = {tensor.producer for tensor in graph.outputs} queue = list(visited) k = 0 while k < len(queue): op = queue[k] k += 1 for tensor in op.inputs: if tensor.producer is not None and tensor.producer not in visited and (tensor not in graph.inputs or len(tensor.producer.inputs) == 0): visited.add(tensor.producer) queue.append(tensor.producer) graph.remove_operations({op for op in graph.operations if op not in visited}, unlink=True) graph.remove_tensors({tensor for tensor in graph.tensors if len(tensor.producers) == 0 and len(tensor.consumers) == 0 and (tensor not in graph.inputs) and (tensor not in graph.outputs)})

sigla = input('Digite uma das siglas: SP / RJ / MG: ') if sigla == 'RJ' or sigla == 'rj': print('Carioca') elif sigla == 'SP' or sigla == 'sp': print('Paulista') elif sigla == 'MG' or sigla == 'mg': print('Mineiro') else: print('Outro estado')

""" Module: 'flowlib.lib.emoji' on M5 FlowUI v1.4.0-beta """ # MCU: (sysname='esp32', nodename='esp32', release='1.11.0', version='v1.11-284-g5d8e1c867 on 2019-08-30', machine='ESP32 module with ESP32') # Stubber: 1.3.1 class Emoji: '' def clear(): pass def draw_square(): pass def show_love(): pass def show_map(): pass def show_normal(): pass lcd = None def sleep(): pass

""" Module: 'flowlib.lib.emoji' on M5 FlowUI v1.4.0-beta """ class Emoji: """""" def clear(): pass def draw_square(): pass def show_love(): pass def show_map(): pass def show_normal(): pass lcd = None def sleep(): pass

# Copyright (c) 2019 Ezybaas by Bhavik Shah. # CTO @ Susthitsoft Technologies Private Limited. # All rights reserved. # Please see the LICENSE.txt included as part of this package. # EZYBAAS RELEASE CONFIG EZYBAAS_RELEASE_NAME = 'EzyBaaS' EZYBAAS_RELEASE_AUTHOR = 'Bhavik Shah CTO @ SusthitSoft Technologies' EZYBAAS_RELEASE_VERSION = '0.1.4' EZYBAAS_RELEASE_DATE = '2019-07-20' EZYBAAS_RELEASE_NOTES = 'https://github.com/bhavik1st/ezybaas' EZYBAAS_RELEASE_STANDALONE = True EZYBAAS_RELEASE_LICENSE = 'https://github.com/bhavik1st/ezybaas' EZYBAAS_SWAGGER_ENABLED = True # EZYBAAS OPERATIONAL CONFIG BAAS_NAME = 'ezybaas' SERIALIZERS_FILE_NAME = 'api' VIEWS_FILE_NAME = 'api' URLS_FILE_NAME = 'urls' MODELS_FILE_NAME = 'models' TESTS_FILE_NAME = 'tests'

ezybaas_release_name = 'EzyBaaS' ezybaas_release_author = 'Bhavik Shah CTO @ SusthitSoft Technologies' ezybaas_release_version = '0.1.4' ezybaas_release_date = '2019-07-20' ezybaas_release_notes = 'https://github.com/bhavik1st/ezybaas' ezybaas_release_standalone = True ezybaas_release_license = 'https://github.com/bhavik1st/ezybaas' ezybaas_swagger_enabled = True baas_name = 'ezybaas' serializers_file_name = 'api' views_file_name = 'api' urls_file_name = 'urls' models_file_name = 'models' tests_file_name = 'tests'

#Oskar Svedlund #TEINF-20 #2021-09-20 #For i For loop for i in range(1,10): for j in range(1,10): print(i*j, end="\t") print()

for i in range(1, 10): for j in range(1, 10): print(i * j, end='\t') print()

#!/usr/bin/env python ''' Copyright (C) 2019, WAFW00F Developers. See the LICENSE file for copying permission. ''' NAME = 'StackPath (StackPath)' def is_waf(self): schemes = [ self.matchContent(r"This website is using a security service to protect itself"), self.matchContent(r'You performed an action that triggered the service and blocked your request') ] if all(i for i in schemes): return True return False

""" Copyright (C) 2019, WAFW00F Developers. See the LICENSE file for copying permission. """ name = 'StackPath (StackPath)' def is_waf(self): schemes = [self.matchContent('This website is using a security service to protect itself'), self.matchContent('You performed an action that triggered the service and blocked your request')] if all((i for i in schemes)): return True return False

"""Advent of Code Day 4 - High-Entropy Passphrases""" # Open list, read it and split by newline pass_txt = open('inputs/day_04.txt') lines = pass_txt.read() pass_list = lines.split('\n') def dupe_check(passphrase): """Return only if input has no duplicate words in it.""" words = passphrase.split(' ') unique = set(words) if words != ['']: return len(words) == len(unique) def anagram_check(passphrase): """Return only if input has no anagram pairs in it.""" words = passphrase.split(' ') word_list = [] for word in words: # Make all words have their letters in alphabetical order letters = list(word) ordered = ('').join(sorted(letters)) word_list.append(ordered) unique = set(word_list) if words != ['']: return len(words) == len(unique) # Answer One dupeless = 0 for passphrase in pass_list: if dupe_check(passphrase): dupeless += 1 print("Number of passwords without duplicates:", dupeless) # Answer Two anagramless = 0 for passphrase in pass_list: if anagram_check(passphrase): anagramless += 1 print("Number of passwords without anagram pairs:", anagramless)

"""Advent of Code Day 4 - High-Entropy Passphrases""" pass_txt = open('inputs/day_04.txt') lines = pass_txt.read() pass_list = lines.split('\n') def dupe_check(passphrase): """Return only if input has no duplicate words in it.""" words = passphrase.split(' ') unique = set(words) if words != ['']: return len(words) == len(unique) def anagram_check(passphrase): """Return only if input has no anagram pairs in it.""" words = passphrase.split(' ') word_list = [] for word in words: letters = list(word) ordered = ''.join(sorted(letters)) word_list.append(ordered) unique = set(word_list) if words != ['']: return len(words) == len(unique) dupeless = 0 for passphrase in pass_list: if dupe_check(passphrase): dupeless += 1 print('Number of passwords without duplicates:', dupeless) anagramless = 0 for passphrase in pass_list: if anagram_check(passphrase): anagramless += 1 print('Number of passwords without anagram pairs:', anagramless)