content
stringlengths
7
1.05M
# # Copyright (C) [2020] Futurewei Technologies, Inc. # # FORCE-RISCV is 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 # # THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR # FIT FOR A PARTICULAR PURPOSE. # See the License for the specific language governing permissions and # limitations under the License. # new_registers = [{'target':'system', 'register':'vtype', 'size':64, 'physical_register':'vtype', 'index':'0xc21', 'fields':[{'field':'VILL','shift':63,'size':1}, {'field':'RESERVED (WRITE 0)','shift':8,'size':55}, {'field':'VMA','shift':7,'size':1}, {'field':'VTA','shift':6,'size':1}, {'field':'VLMUL','shift':5,'size':1}, {'field':'VSEW','shift':2,'size':3}, {'field':'VLMUL','shift':0,'size':2}], 'choice':{'name':'vtype','value':'0xc21','weight':'0','description':'URO; Vector data type register.'}}, {'target':'system', 'register':'vstart', 'size':64, 'physical_register':'vstart', 'index':'0x8', 'fields':[{'field':'VSTART','shift':0,'size':64}], 'choice':{'name':'vstart','value':'0x8','weight':'0','description':'URW; Vector start position.'}}, {'target':'system', 'register':'vxsat', 'size':64, 'physical_register':'vxsat', 'index':'0x9', 'fields':[{'field':'RESERVED','shift':1,'size':63}, {'field':'VXSAT','shift':0,'size':1}], 'choice':{'name':'vxsat','value':'0x9','weight':'0','description':'URW; Fixed-point Saturate Flag.'}}, {'target':'system', 'register':'vxrm', 'size':64, 'physical_register':'vxrm', 'index':'0xa', 'fields':[{'field':'RESERVED (WRITE 0)','shift':2,'size':62}, {'field':'VXRM','shift':0,'size':2}], 'choice':{'name':'vxrm','value':'0xa','weight':'0','description':'URW; Fixed-point Rounding Mode.'}}, {'target':'system', 'register':'vcsr', 'size':64, 'physical_register':'vcsr', 'index':'0xf', 'fields':[{'field':'RESERVED','shift':3,'size':61}, {'field':'VXRM','shift':1,'size':2}, {'field':'VXSAT','shift':0,'size':1}], 'choice':{'name':'vcsr','value':'0xf','weight':'0','description':'URW; Vector control and status register.'}}, {'target':'system', 'register':'vl', 'size':64, 'physical_register':'vl', 'index':'0xc20', 'fields':[{'field':'VL','shift':0,'size':64}], 'choice':{'name':'vl','value':'0xc20','weight':'0','description':'URO; Vector length.'}}, {'target':'system', 'register':'vlenb', 'size':64, 'physical_register':'vlenb', 'index':'0xc22', # there should probably be 2 fields here instead of just 1 (vlenb with shift 0, size 61 and a reserved field with shift 61, size 3), but the spec doesn't explicitly specify that 'fields':[{'field':'VLENB','shift':0,'size':64}], 'choice':{'name':'vlenb','value':'0xc22','weight':'0','description':'URO; VLEN/8 (vector register length in bytes).'}}]
''' There is a horizontal row of cubes. The length of each cube is given. You need to create a new vertical pile of cubes. The new pile should follow these directions: if cube_i is on top of cube_j then cube_j >= cube_i. When stacking the cubes, you can only pick up either the leftmost or the rightmost cube each time. Print "Yes" if it is possible to stack the cubes. Otherwise, print "No". Do not print the quotation marks. ''' #time out solution - too long, because O(n^2) for long test cases - becaues of max(list), #it takes too long to compute max everytime its called! def f(r): cur = list() found = False for i in range(len(r)): if len(r)!= 0: leftmost = r[0] rightmost = r[-1] if len(cur) == 0: cur.append(r.pop(0)) else: if max(cur) < leftmost or max(cur) < rightmost: print('No') found = True break else: if leftmost >= rightmost: cur.append(r.pop(0)) else: cur.append(r.pop(-1)) if found == False: print('Yes') if __name__ == '__main__': n = int(input()) total_list = list() for _ in range(n): length = int(input()) l = list(int(i) for i in input().split(' ')) total_list.append(l) for l in total_list: f(l) #solution 2 def pilecub(cubes,n): for i in range(n-1): if cubes[i]>=cubes[i+1]: continue for j in range(i+1,n-1): if cubes[j]>cubes[j+1]: return "No" return "Yes" return "Yes" T = int(input()) for _ in range(T): n = int(input()) cubes = list(map(int,input().split())) print(pilecub(cubes,n))
# coding: utf-8 # Copyright (c) Scanlon Materials Theory Group # Distributed under the terms of the MIT License. """ Package containing functions for loading and manipulating phonon data. """
count = 0 soma = 0 num = 0 maior = 0 menor = 999999999999999999999999 resp = '' while resp in 'Ss': num = int(input('Digite um número: ')) resp = str(input('Deseja continuar [S/N]: ')) soma += num if num > maior: maior = num if num < menor: menor = num count += 1 print('O MAIOR número digitado foi {}, o MENOR foi {} e a média foi {}'.format(maior, menor, soma / count))
class Player: def __init__(self, char='X'): self.kind = 'human' self.char = char def move(self, board): while True: #valid move move = int(input('Your move? ')) if board[move] != "X" and board[move] != "O" and move >= 0 and move <= 9: return move def available_positions(self, board): return [i for i in range(0, 9) if board[i] == '█']
# # Nomalize Data # (c) iomonad <[email protected]> # FALLBACK_NAME = "Trappe d'accès" layer = iface.activeLayer() layer.startEditing() for feature in layer.getFeatures(): if not feature['name']: layer.changeAttributeValue(feature.id(), 0, FALLBACK_NAME) continue layer.changeAttributeValue(feature.id(), 0, str(feature['name']).strip().capitalize()) if "trappe" in str(feature['name']).lower() or "plaque" in str(feature['name']).lower(): layer.changeAttributeValue(feature.id(), 3, str("Abloy")) layer.changeAttributeValue(feature.id(), 2, str("Trappe")) if "porte" in str(feature['name']).lower(): layer.changeAttributeValue(feature.id(), 2, str("Porte")) if "pep" in str(feature['name']).lower(): if feature['descriptio'] and "pep" in str(feature['descriptio']).lower(): layer.changeAttributeValue(feature.id(), 4, str("PEP")) layer.changeAttributeValue(feature.id(), 4, str("PEP")) if "ventil" in str(feature['name']).lower(): if feature['descriptio'] and "ventilation" in str(feature['descriptio']).lower(): layer.changeAttributeValue(feature.id(), 4, str("VT")) layer.changeAttributeValue(feature.id(), 4, str("VT")) print (feature['name']) layer.updateFields()
#: Common folder in which the data file are related. DATA_ROOT_FOLDER = '/Users/mdartiailh/Labber/Data/2019/' #: Dictionary of parallel field, file path. DATA_PATHS = {400: '03/Data_0316/JS124S_BM002_390.hdf5', # 350: '03/Data_0317/JS124S_BM002_392.hdf5', # 300: '03/Data_0318/JS124S_BM002_394.hdf5', 250: '03/Data_0318/JS124S_BM002_395.hdf5', # 200: '03/Data_0318/JS124S_BM002_396.hdf5', # 150: '03/Data_0319/JS124S_BM002_397.hdf5', 100: '03/Data_0321/JS124S_BM002_405.hdf5', # 50: '03/Data_0320/JS124S_BM002_402.hdf5', -300: '04/Data_0430/JS124S_BM002_532.hdf5', } #: Perpendicular field range to fit for each parallel field FIELD_RANGES = {400: (-8e-3, -5.5e-3), 350: (None, -6e-3), 300: (-6.59e-3, -4.75e-3), 250: (), 200: (), 150: (-5.05e-3, None), 100: (-3.9e-3, -1.1e-3), 50: (-2.2e-3, None), -300: (-1e-3, 1.2e-3), } #: Guess for the transparency of the junctions as a function of the field. TRANSPARENCY_GUESS = {400: 0.01, 350: 0.1, 300: 0.2, 250: 0.3, 200: 0.4, 150: 0.6, 100: 0.8, -300: 0.2, } #: Name/index of the gate column. GATE_COLUMN = 1 #: Gate values for which to skip the analysis. The values should be present #: in the datasets. EXCLUDED_GATES = [-4.75, -3.5, -2.5, -2.0, -1.0, 1.0, 2.0, 3.0] #: Name/index of the perpendicular field column. FIELD_COLUMN = 2 #: Name/index of the bias current column. BIAS_COLUMN = 0 #: Name/column of the differential resistance column. RESISTANCE_COLUMN = 3 #: Threshold value used to determine the switching current. RESISTANCE_THRESHOLD = 1.4e-7 #: Should we plot the extracted switching current on top of the SQUID #: oscillations PLOT_EXTRACTED_SWITCHING_CURRENT = False #: Enforce equality of the transparencies EQUAL_TRANSPARENCIES = True #: Sign of the phase difference created by the perpendicular field. PHASE_SIGN = 1 #: Handedness of the system. HANDEDNESS = -1 #: Correction factor to apply on the estimated pulsation CONVERSION_FACTOR_CORRECTION = 1.07 #: Should we plot the initial guess for each trace. PLOT_INITIAL_GUESS = True #: Should we plot the fit for each trace. PLOT_FITS = True #: Path to which save the graphs and fitted parameters. # ANALYSIS_PATH = ('/Users/mdartiailh/Documents/PostDocNYU/DataAnalysis/' # 'SQUID/phaseshift_low_field/j2/By/active_t_fixed')
def poly_conversion_array(eq, var): poly = eq.split() coeffPower = [] i = 1 while i < len(poly): poly.insert(i, poly[i] + poly[i + 1]) poly.pop(i + 1) poly.pop(i + 1) i += 1 for j in poly: cp = j.split(var) if len(cp) == 1: cp.append(0) for k in range(len(cp)): cp[k] = float(cp[k]) coeffPower.append(cp) else: if '^' in cp[1]: if cp[0] == '': Temp = cp[1] Temp.split('^') cp.pop(1) cp.append(Temp[1]) cp.pop(0) cp.insert(0, 1) for k in range(len(cp)): cp[k] = float(cp[k]) coeffPower.append(cp) else: Temp = cp[1] Temp.split('^') cp.pop(1) cp.append(Temp[1]) for k in range(len(cp)): cp[k] = float(cp[k]) coeffPower.append(cp) elif cp[1] == '': if cp[0] == '': coeffPower.append([float(1), float(1)]) else: cp.pop(1) cp.append(1) for k in range(len(cp)): cp[k] = float(cp[k]) coeffPower.append(cp) return coeffPower
a = 50 print('\033[32m_\033[m' * a) print(f'\033[1;32m{"SISTEMA DE CALCULO DE AREA":=^{a}}\033[m') print('\033[32m-\033[m' * a) def area(a, b): tot = a * b print(f'\033[1;34mA area de um terreno de {a:.2f} x {b:.2f} é de {tot:.2f}m².\033[m') larg = float(input('\033[35mLargura do terreno (m): ')) comp = float(input('\033[35mComprimento do terreno (m): ')) area(larg, comp)
def selection(arr): for i in range(0, len(arr)): # Min idx starts always at the ith element min_idx = i # Look for any local minima going forward for j in range(i+1, len(arr)): # If we find one, set the min_idx to what we find if arr[j] < arr[min_idx]: min_idx = j # Swap that min with the location at i arr[i], arr[min_idx] = arr[min_idx], arr[i] if __name__ == '__main__': arrs = [ [4, 3, 3, 7, 6, -1, 10, 3, 8, 4], [10, 11, 9, 8, 13, 21], [-1, -1] ] print("Selection sort") for arr in arrs: print("----------------------------------------") print("unsorted: {}".format(arr)) selection(arr) print("sorted: {}".format(arr)) print("\n") print("Selection sort") for arr in arrs: print("----------------------------------------") print("unsorted: {}".format(arr)) selection(arr) print("sorted: {}".format(arr))
# This file will store strings for the entire app # Error Strings space_in_first_name_error = 'First name may not contain spaces' space_in_last_name_error = 'Last name may not contain spaces' # Dashboard Strings my_projects = "My Projects" no_projects = "Looks like you don't have any projects yet. Select Add project, or check back later." add_project_button = "add project" join_code_prompt = "Enter a join code:" add_project_name_field = "project name" add_project_join_field = "join code" join_public_prompt = "Join a public project:" select_project_prompt = "Select a project to work on" # General Strings submit_button = "submit" join_button = "join" select_button = "select" leave_button = "leave"
# Copyright 2020 The XLS Authors # # 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. """See dslx_test().""" load("//xls/build_rules:genrule_wrapper.bzl", "genrule_wrapper") load("//xls/build_rules:dslx_codegen.bzl", "make_benchmark_args") _INTERPRETER_MAIN = "//xls/dslx:interpreter_main" _DSLX_TEST = "//xls/dslx/interpreter:dslx_test" # TODO(meheff): Move this to a different internal-only bzl file. def _convert_ir( name, src, entry, srcs, deps, tags, args, prove_unopt_eq_opt, generate_benchmark, kwargs): native.sh_test( name = name + "_ir_converter_test", srcs = ["//xls/dslx:ir_converter_test_sh"], args = [native.package_name() + "/" + src] + args, data = [ "//xls/dslx:ir_converter_main", ] + srcs + deps, tags = tags, ) genrule_wrapper( name = name + "_ir", srcs = srcs + deps, outs = [name + ".ir"], cmd = "$(location //xls/dslx:ir_converter_main) --dslx_path=$(GENDIR) $(SRCS) > $@", exec_tools = ["//xls/dslx:ir_converter_main"], tags = tags, **kwargs ) genrule_wrapper( name = name + "_opt_ir", srcs = srcs + deps, outs = [name + ".opt.ir"], cmd = ("$(location //xls/dslx:ir_converter_main) --dslx_path=$(GENDIR) $(SRCS) " + " | $(location //xls/tools:opt_main) --entry=%s - " + " > $@") % (entry or ""), exec_tools = [ "//xls/dslx:ir_converter_main", "//xls/tools:opt_main", ], tags = tags, **kwargs ) native.filegroup( name = name + "_all_ir", srcs = [name + ".opt.ir", name + ".ir"], ) if prove_unopt_eq_opt: native.sh_test( name = name + "_opt_equivalence_test", srcs = ["//xls/tools:check_ir_equivalence_sh"], args = [ native.package_name() + "/" + name + ".ir", native.package_name() + "/" + name + ".opt.ir", ] + (["--function=" + entry] if entry else []), size = "large", data = [ ":" + name + "_all_ir", "//xls/tools:check_ir_equivalence_main", ], tags = tags + ["optonly"], ) if generate_benchmark: benchmark_args = make_benchmark_args( native.package_name(), name, entry, args, ) # Add test which executes benchmark_main on the IR. native.sh_test( name = name + "_benchmark_test", srcs = ["//xls/tools:benchmark_test_sh"], args = benchmark_args, data = [ "//xls/tools:benchmark_main", ":" + name + "_all_ir", ], tags = tags, ) # Add test which evaluates the IR with the interpreter and verifies # the result before and after optimizations match. native.sh_test( name = name + "_benchmark_eval_test", srcs = ["//xls/tools:benchmark_eval_test_sh"], args = benchmark_args + ["--random_inputs=100", "--optimize_ir"], data = [ "//xls/tools:eval_ir_main", ":" + name + "_all_ir", ], tags = tags + ["optonly"], ) # TODO(meheff): dslx_test includes a bunch of XLS internal specific stuff such # as generating benchmarks and convert IR. These should be factored out so we # have a clean macro for end-user use. def dslx_test( name, srcs, deps = None, entry = None, args = None, convert_ir = True, compare = "jit", prove_unopt_eq_opt = True, generate_benchmark = True, tags = [], **kwargs): """Runs all test cases inside of a DSLX source file as a test target. Args: name: 'Base' name for the targets that get created. srcs: '.x' file sources. deps: Dependent '.x' file sources. entry: Name (currently *mangled* name) of the entry point that should be converted / code generated. args: Additional arguments to pass to the DSLX interpreter and IR converter. convert_ir: Whether or not to convert the DSLX code to IR. compare: Perform a runtime equivalence check between the DSLX interpreter and the IR JIT ('jit') or IR interpreter ('interpreter') or no IR conversion / comparison at all ('none'). generate_benchmark: Whether or not to create a benchmark target (that analyses XLS scheduled critical path). prove_unopt_eq_opt: Whether or not to generate a test to compare semantics of opt vs. non-opt IR. Only enabled if convert_ir is true. tags: Tags to place on all generated targets. **kwargs: Extra arguments to pass to genrule. """ args = args or [] deps = deps or [] if len(srcs) != 1: fail("More than one source not currently supported.") if entry and not type(entry) != str: fail("Entry argument must be a string.") src = srcs[0] interpreter_args = ["--compare={}".format(compare if convert_ir else "none")] native.sh_test( name = name + "_dslx_test", srcs = [_DSLX_TEST], args = [native.package_name() + "/" + src] + args + interpreter_args, data = [ _INTERPRETER_MAIN, ] + srcs + deps, tags = tags, ) if convert_ir: _convert_ir( name, src, entry, srcs, deps, tags, args, prove_unopt_eq_opt, generate_benchmark, kwargs, ) native.filegroup( name = name + "_source", srcs = srcs, ) native.test_suite( name = name, tests = [name + "_dslx_test"], tags = tags, )
show_in_list = True title = 'Detector Configuration' motor_names = ['collect.detector_configuration', 'xray_scope.setup', 'laser_scope.setup'] names = ['detectors', 'xray_scope_setup', 'laser_scope_setup', 'motor2'] motor_labels = ['Detectors', 'X-ray Scope Setup', 'Laser Scope Setup'] widths = [280, 170, 170] line0.xray_scope.setup = 'NIH SAXS-WAXS' line0.laser_scope.setup = 'NIH SAXS-WAXS' line0.updated = '2019-05-28 20:24:36' line1.xray_scope.setup = 'NIH FPGA diagnostics' line1.laser_scope.setup = 'FPGA diagnostics' line1.updated = '2019-01-28 18:17:10' line0.description = 'SAXS/WAXS' line1.description = 'FPGA diagnostics' command_rows = [0] line0.detectors = 'xray_detector, xray_scope, laser_scope' line0.collect.detector_configuration = 'xray_detector, xray_scope, laser_scope' nrows = 9 line2.description = 'SAXS/WAXS static' line2.collect.detector_configuration = 'xray_detector, xray_scope' line2.xray_scope.setup = 'NIH SAXS-WAXS' line2.laser_scope.setup = '' line2.updated = '2019-05-28 19:49:55' line3.description = 'NIH:Channel-Cut-Scan' line3.collect.detector_configuration = 'xray_scope' line3.updated = '2019-01-28 18:16:58' line3.xray_scope.setup = 'NIH Channel Cut Scan' line4.description = 'NIH:Slit-Scan' line4.collect.detector_configuration = 'xray_scope' line4.updated = '2019-03-18 17:06:12' line4.xray_scope.setup = 'NIH Slit Scan' line5.description = 'X-Ray Alignment' line5.collect.detector_configuration = '' line5.updated = '2019-01-29 08:48:16' line5.xray_scope.setup = 'Alignment' line5.laser_scope.setup = '' row_height = 20 line6.xray_scope.setup = 'APS Channel Cut Scan' line6.updated = '2019-01-29 17:04:44' line6.description = 'APS:Channel-Cut-Scan' description_width = 180 line7.description = 'NIH:X-Ray Beam Check' line7.collect.detector_configuration = 'xray_scope' line7.updated = '2019-01-29 22:55:00' line7.xray_scope.setup = 'NIH X-Ray Beam Check' line8.collect.detector_configuration = 'xray_detector' line8.updated = '2019-02-04 11:50:52' line8.xray_scope.setup = 'Rob Test' line8.laser_scope.setup = '' line8.description = 'Rob Test'
# MIT License # (C) Copyright 2021 Hewlett Packard Enterprise Development LP. # # linkIntegrity : Link integrity and bandwidth test def get_link_integrity_test_result( self, ne_id: str, ) -> dict: """Retrieve current link integrity test status/results from appliance .. list-table:: :header-rows: 1 * - Swagger Section - Method - Endpoint * - linkIntegrity - GET - /linkIntegrityTest/status/{neId} :param ne_id: Appliance id in the format of integer.NE e.g. ``3.NE`` :type ne_id: str :return: Returns dictionary of test status and related results :rtype: dict """ return self._get("/linkIntegrityTest/status/{}".format(ne_id)) def update_user_defined_app_port_protocol( self, ne_pk_1: str, bandwidth_1: str, path_1: str, ne_pk_2: str, bandwidth_2: str, path_2: str, duration: int, test_program: str, dscp: str = "any", ) -> bool: """Start a link integrity test between two appliances using specified parameters .. list-table:: :header-rows: 1 * - Swagger Section - Method - Endpoint * - linkIntegrity - POST - /linkIntegrityTest/run :param ne_pk_1: Network Primary Key (nePk) of first appliance :type ne_pk_1: str :param bandwidth_1: Data transfer rate to use from first appliance :type bandwidth_1: str :param path_1: Traffic path for first appliance. Can have values of "pass-through", "pass-through-unshaped" or "{tunnelID}" e.g. "tunnel_1". :type path_1: str :param ne_pk_2: Network Primary Key (nePk) of second appliance :type ne_pk_2: str :param bandwidth_2: Data transfer rate to use from second appliance :type bandwidth_2: str :param path_2: Traffic path for first appliance. Can have values of "pass-through", "pass-through-unshaped" or "{tunnelID}" e.g. "tunnel_1". :type path_2: str :param duration: Duration of test in seconds :type duration: int :param test_program: Test program to be used for this test. Can have values of "iperf" or "tcpperf" :type test_program: str :param dscp: DSCP value for test traffic, defaults to "any" :type dscp: str, optional :return: Returns True/False based on successful call :rtype: bool """ data = { "appA": {"nePk": ne_pk_1, "bandwidth": bandwidth_1, "path": path_1}, "appB": {"nePk": ne_pk_2, "bandwidth": bandwidth_2, "path": path_2}, "duration": duration, "testProgram": test_program, "DSCP": dscp, } return self._post("/linkIntegrityTest/run", data=data, return_type="bool")
# Setters for the results dictionary def set_error(name, message): global _error _error = {} _error = {"Hostname": name, "Message": message} return _error def new(): return { 'Hostname': None, 'IP': None, 'MD5': None, 'View': None, 'Results': [] } def set_result(results, key, value): results[key] = value def set_ciphers(results, value): results['Results'].append(value)
class FloorType(HostObjAttributes, IDisposable): """ An object that specifies the type of a floor in Autodesk Revit. """ def Dispose(self): """ Dispose(self: Element,A_0: bool) """ pass def getBoundingBox(self, *args): """ getBoundingBox(self: Element,view: View) -> BoundingBoxXYZ """ pass def ReleaseUnmanagedResources(self, *args): """ ReleaseUnmanagedResources(self: Element,disposing: bool) """ pass def setElementType(self, *args): """ setElementType(self: Element,type: ElementType,incompatibleExceptionMessage: str) """ pass def __enter__(self, *args): """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): """ __exit__(self: IDisposable,exc_type: object,exc_value: object,exc_back: object) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass IsFoundationSlab = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Returns whether the element FloorAttributes type is FoundationSlab. Get: IsFoundationSlab(self: FloorType) -> bool """ StructuralMaterialId = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Returns the identifier of the material that defines the element's structural analysis properties. Get: StructuralMaterialId(self: FloorType) -> ElementId Set: StructuralMaterialId(self: FloorType)=value """ ThermalProperties = property( lambda self: object(), lambda self, v: None, lambda self: None ) """The calculated and settable thermal properties of the FloorType Get: ThermalProperties(self: FloorType) -> ThermalProperties """
def GWO(lb, ub, dim, searchAgents_no, maxIters): # Grey wolves 초기화 alpha_pos = np.zeros(dim) # The best search agent alpha_score = float("inf") beta_pos = np.zeros(dim) # The second best search agent beta_score = float("inf") delta_pos = np.zeros(dim) # The third best search agent delta_score = float("inf") # 모든 wolf 들의 위치 랜덤 초기화 [lb, ub] positions = np.zeros((searchAgents_no, dim)) for i in range(dim): positions[:, i] = (np.random.uniform(lb, ub, searchAgents_no)) # Main loop for l in range(0, maxIters): # 모든 늑대들의 계층을 결정하는 Step for i in range(0, searchAgents_no): # Boundary를 벗어나는 위치 변환 for j in range(dim): positions[i, j] = np.clip(positions[i, j], lb, ub) # i번째 wolf의 fitness 산출 fitness = F9(positions[i, :]) # 알파, 베타, 델타 늑대 업데이트 # 알파 늑대보다 좋은 늑대가 나타나면 그 늑대의 fitness와 pos를 알파로 위임. 알파, 베타, 델타 늑대를 한 단계씩 강등 if fitness < alpha_score: delta_score = beta_score # Update delta delta_pos = beta_pos.copy() beta_score = alpha_score # Update beta beta_pos = alpha_pos.copy() alpha_score = fitness # Update alpha alpha_pos = positions[i, :].copy() # 베타 늑대 적임자가 나타나면 그 늑대의 fitness와 pos를 베타로 위임. 베타, 델타 늑대를 한 단계씩 강등 if fitness > alpha_score and fitness < beta_score: delta_score = beta_score # Update delte delta_pos = beta_pos.copy() beta_score = fitness # Update beta beta_pos = positions[i, :].copy() # 델타 늑대 적임자가 나타나면 그 늑대의 fitness와 pos를 델타로 위임. 델타 늑대를 한 단계 강등 if fitness > alpha_score and fitness > beta_score and fitness < delta_score: delta_score = fitness # Update delta delta_pos = positions[i, :].copy() # a는 선형적으로 감소하는 값으로 2 ~ 0을 가짐 a = 2 - l * ((2) / maxIters) # 모든 늑대들의 pos를 업데이트하는 Step for i in range(0, searchAgents_no): for j in range(0, dim): r1 = random.random() # r1 is a random number in [0,1] r2 = random.random() # r2 is a random number in [0,1] A1 = 2 * a * r1 - a # Equation (3.3) C1 = 2 * r2 # Equation (3.4) D_alpha = abs(C1 * alpha_pos[j] - positions[i, j]) # Equation (3.5)-part 1 X1 = alpha_pos[j] - A1 * D_alpha # Equation (3.6)-part 1 r1 = random.random() r2 = random.random() A2 = 2 * a * r1 - a # Equation (3.3) C2 = 2 * r2 # Equation (3.4) D_beta = abs(C2 * beta_pos[j] - positions[i, j]) # Equation (3.5)-part 2 X2 = beta_pos[j] - A2 * D_beta # Equation (3.6)-part 2 r1 = random.random() r2 = random.random() A3 = 2 * a * r1 - a # Equation (3.3) C3 = 2 * r2 # Equation (3.4) D_delta = abs(C3 * delta_pos[j] - positions[i, j]) # Equation (3.5)-part 3 X3 = delta_pos[j] - A3 * D_delta # Equation (3.5)-part 3 positions[i, j] = (X1 + X2 + X3) / 3 # Equation (3.7) print(l, "번째 최적 해 :", alpha_score) return "GWO :"+str(alpha_score)
""" description: delete-node-in-a-linked-list(删除链表中的节点) author: jiangyx3915 date: 2018/10/13 请编写一个函数,使其可以删除某个链表中给定的(非末尾)节点,你将只被给定要求被删除的节点。 现有一个链表 -- head = [4,5,1,9],它可以表示为: 4 -> 5 -> 1 -> 9 说明: 链表至少包含两个节点。 链表中所有节点的值都是唯一的。 给定的节点为非末尾节点并且一定是链表中的一个有效节点。 不要从你的函数中返回任何结果。 结题思路 由于没有办法得到node的前节点,我们只能通过将下一个节点的值复制到当前节点node,然后移除node的下一个节点来达到目 """ # Definition for singly-linked list. # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: def deleteNode(self, node): """ :type node: ListNode :rtype: void Do not return anything, modify node in-place instead. """ node.val = node.next.val node.next = node.next.next
def get_input(): with open("input.txt", "r") as file: return file.read() def quiz1(data): print(data.count("(") - data.count(")")) def quiz2(data): count = 0 for i, p in enumerate(data): if p == ("("): count += 1 if p == (")"): count -= 1 if count == -1: print(i+1) break if __name__ == "__main__": data = get_input() quiz1(data) quiz2(data)
user = "DB_USER" password = "DB_PASS" token = "API_TOKEN" valid_chats = []
# Copyright 2018 Google LLC # # 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 # # https://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. """Rules for auto-generating the Paths_* module needed in third-party. Some third-party Haskell packages use a Paths_{package_name}.hs file which is auto-generated by Cabal. That file lets them - Get the package's current version number - Find useful data file This file exports the "cabal_paths" rule for auto-generating that Paths module. For usage information, see the below documentation for that rule. """ load("@bazel_skylib//:lib.bzl", "paths") load("@io_tweag_rules_haskell//haskell:haskell.bzl", "haskell_library") load("//tools:mangling.bzl", "hazel_library") def _impl_path_module_gen(ctx): paths_file = ctx.new_file(ctx.label.name) base_dir = paths.join( ctx.label.package, ctx.attr.data_dir if ctx.attr.data_dir else "" ) ctx.template_action( template=ctx.file._template, output=paths_file, substitutions={ "%{module}": ctx.attr.module, "%{base_dir}": paths.join( # TODO: this probably won't work for packages not in external # repositories. See: # https://github.com/bazelbuild/bazel/wiki/Updating-the-runfiles-tree-structure "..", paths.relativize(ctx.label.workspace_root, "external"), base_dir), "%{version}": str(ctx.attr.version), }, ) return struct(files=depset([paths_file])) _path_module_gen = rule( implementation=_impl_path_module_gen, attrs={ "data_dir": attr.string(), "module": attr.string(), "version": attr.int_list(mandatory=True, non_empty=True), "_template": attr.label(allow_files=True, single_file=True, default=Label( "@ai_formation_hazel//:paths-template.hs")), }, ) def cabal_paths(name=None, package=None, data_dir='',data=[], version=[], **kwargs): """Generate a Cabal Paths_* module. Generates a Paths_ module for use by Cabal packages, and compiles it into a haskell_library target that can be dependend on by other Haskell rules. Example usage: haskell_binary( name = "hlint", srcs = [..], deps = [":paths", ...], ) cabal_paths( name = "paths", package = "hlint", version = [1, 18, 5], # Corresponds to the Cabal "data-dir" field. data_dir = "datafiles", # Corresponds to the Cabal "data-files" field, with data-dir prepended. data = ["datafiles/some/path", "datafiles/another/path"], ) Args: name: The name of the resulting library target. package: The name (string) of the Cabal package that's being built. data_dir: The subdirectory (relative to this package) that contains the data files (if any). If empty, assumes the data files are at the top level of the package. data: The data files that this package depends on to run. version: The version number of this package (list of ints) """ module_name = "Paths_" + package paths_file = module_name + ".hs" _path_module_gen( name = paths_file, module=module_name, data_dir=data_dir, version=version, ) haskell_library( name=name, srcs = [paths_file], data = data, deps = [ hazel_library("base"), hazel_library("filepath"), ], # TODO: run directory resolution. **kwargs)
MASK = 0xffffffffffffffff BLOCK_LEN_INT64 = 8 BLOCK_LEN_BYTES = 8 * BLOCK_LEN_INT64 blake2b_IV = [ 0x6a09e667f3bcc908, 0xbb67ae8584caa73b, 0x3c6ef372fe94f82b, 0xa54ff53a5f1d36f1, 0x510e527fade682d1, 0x9b05688c2b3e6c1f, 0x1f83d9abfb41bd6b, 0x5be0cd19137e2179 ] def rotr(w, c): return (w >> c) | (w << (64 - c)) def G(r, i, a, b, c, d): a = a + b & MASK # noqa d = rotr(d ^ a, 32) & MASK # noqa c = c + d & MASK # noqa b = rotr(b ^ c, 24) & MASK # noqa a = a + b & MASK # noqa d = rotr(d ^ a, 16) & MASK # noqa c = c + d & MASK # noqa b = rotr(b ^ c, 63) & MASK # noqa return a, b, c, d def round_lyra(r, v): v[0], v[4], v[8], v[12] = G(r, 0, v[0], v[4], v[8], v[12]) v[1], v[5], v[9], v[13] = G(r, 1, v[1], v[5], v[9], v[13]) v[2], v[6], v[10], v[14] = G(r, 2, v[2], v[6], v[10], v[14]) v[3], v[7], v[11], v[15] = G(r, 3, v[3], v[7], v[11], v[15]) v[0], v[5], v[10], v[15] = G(r, 4, v[0], v[5], v[10], v[15]) v[1], v[6], v[11], v[12] = G(r, 5, v[1], v[6], v[11], v[12]) v[2], v[7], v[8], v[13] = G(r, 6, v[2], v[7], v[8], v[13]) v[3], v[4], v[9], v[14] = G(r, 7, v[3], v[4], v[9], v[14]) def initState(): state = [0] * 8 for i in range(8): state.append(blake2b_IV[i]) return state def blake2b_lyra(v): for i in range(12): round_lyra(i, v) def reduced_blake2b_lyra(v): round_lyra(0, v) def print_state(state, name='state'): print(name + ': ', end='') for s in state: print('{:x}|'.format(s), end='') print('\n------------------------------------------') def copy_block(state, out, start, size=BLOCK_LEN_INT64): for i in range(size): out[start + i] = state[i] def squeeze(state, size): out = [0] * int(size / BLOCK_LEN_INT64) fullBlocks = int(size / BLOCK_LEN_BYTES) pos = 0 for i in range(fullBlocks): copy_block(state, out, pos) blake2b_lyra(state) pos += BLOCK_LEN_INT64 remaining = int(size % BLOCK_LEN_BYTES / BLOCK_LEN_INT64) copy_block(state, out, pos, remaining) return out def pad(text): blocks = int(len(text) / BLOCK_LEN_BYTES) + 1 l = [b for b in text.encode()] l.append(0x80) r = range(len(l), blocks * BLOCK_LEN_BYTES) for _ in r: l.append(0) l[-1] ^= 0x01 return l def build_int64(number_list, pos): return ((number_list[pos*BLOCK_LEN_INT64 + 7] << 56) + (number_list[pos*BLOCK_LEN_INT64 + 6] << 48) + (number_list[pos*BLOCK_LEN_INT64 + 5] << 40) + (number_list[pos*BLOCK_LEN_INT64 + 4] << 32) + (number_list[pos*BLOCK_LEN_INT64 + 3] << 24) + (number_list[pos*BLOCK_LEN_INT64 + 2] << 16) + (number_list[pos*BLOCK_LEN_INT64 + 1] << 8) + (number_list[pos*BLOCK_LEN_INT64 + 0])) def absorb_block(state, data, reduced=False): for i in range(BLOCK_LEN_INT64): state[i] ^= build_int64(data, i) if reduced: reduced_blake2b_lyra(state) else: blake2b_lyra(state) def main(): state = initState() # print_state(state) # out = squeeze(state, 96) # print_state(state) # print_state(out, 'out') # print(['{:x}'.format(b) for b in pad('Lyra sponge')]) absorb_block(state, pad('Lyra sponge')) print_state(state) if __name__ == '__main__': main()
class Solution: def rotate(self, matrix: List[List[int]]) -> None: """ Do not return anything, modify matrix in-place instead. """ q = 0 m = len(matrix) - 1 while q < len(matrix) // 2: c = 0 while c < len(matrix) - 1 - q * 2: n = matrix[q][q + c] n, matrix[q + c][m - q] = matrix[q + c][m - q], n n, matrix[m - q][m - q - c] = matrix[m - q][m - q - c], n n, matrix[m - q - c][q] = matrix[m - q - c][q], n n, matrix[q][q + c] = matrix[q][q + c], n c += 1 q += 1
""" """ lengths = [] for len_file in snakemake.input: with open(len_file, 'r') as lf: lengths.append(int(lf.readline().strip())) with open(snakemake.output[0], "w") as out_file: print(min(lengths), file=out_file)
#!/usr/bin/env python3 # https://codeforces.com/problemset/problem/1208/A # xor性质~~ def f(l): a,b,n = l l[2] = a^b return l[n%3] t = int(input()) for _ in range(t): l = list(map(int,input().split())) print(f(l))
#Author:Li Shen #定义form公共类 class FormMixin(object): #提取表单验证失败的错误信息 def get_errors(self): #判断object对象中是否存在'errors'属性 if hasattr(self,'errors'): errors = self.errors.get_json_data() #新建一个字典用来装载提取出来的错误信息 new_errors={} #遍历每个错误信息,因为errors是字典形式 for key,message_dicts in errors.items(): #再建一个列表 messages=[] #因为message_dicts也是一个字典形式 for message in message_dicts: #将message_dicts里面的value值加到新建立的列表中 messages.append(message['message']) new_errors[key]=messages return new_errors else: return {}
# https://leetcode.com/problems/valid-parentheses/ class Solution: def isValid(self, s: str) -> bool: stack = [] for c in s: if c == ')': if len(stack) > 0 and stack[-1] == '(': stack.pop() else: return False elif c =='}': if len(stack) > 0 and stack[-1] == '{': stack.pop() else: return False elif c == ']': if len(stack) > 0 and stack[-1] == '[': stack.pop() else: return False else: stack.append(c) if len(stack) != 0: return False return True
def create_lkas(packer, enabled, frame, lat_active, apply_steer): values = { "LKA_MODE": 2, "LKA_ICON": 2 if enabled else 1, "TORQUE_REQUEST": apply_steer, "LKA_ASSIST": 1 if lat_active else 0, "STEER_REQ": 1 if lat_active else 0, "STEER_MODE": 0, "SET_ME_1": 0, "NEW_SIGNAL_1": 0, "NEW_SIGNAL_2": 0, } return packer.make_can_msg("LKAS", 4, values, frame % 255) def create_buttons(packer, cnt, cancel, resume): values = { "_COUNTER": cnt % 0xf, "SET_ME_1": 1, "DISTANCE_BTN": 1 if resume else 0, "PAUSE_RESUME_BTN": 1 if cancel else 0, } return packer.make_can_msg("CRUISE_BUTTONS", 5, values)
""" 7581. Cuboids 작성자: xCrypt0r 언어: Python 3 사용 메모리: 29,380 KB 소요 시간: 92 ms 해결 날짜: 2020년 9월 14일 """ def main(): while True: l, w, h, v = map(int, input().split()) if all(x == 0 for x in [l, w, h, v]): break elif l == 0: l = v // w // h elif w == 0: w = v // l // h elif h == 0: h = v // l // w elif v == 0: v = l * w * h print(l, w, h, v, sep=' ') if __name__ == '__main__': main()
# https://leetcode-cn.com/problems/binary-search/ def binary_search(nums, target): if not nums: return -1 if nums[0] > target or nums[-1] < target: return -1 l, r = 0, len(nums) - 1 while l <= r: m = l + (r - l) // 2 if nums[m] == target: return m elif nums[m] > target: r = m - 1 else: l = m + 1 return -1 if __name__ == '__main__': print(binary_search([1, 2, 3, 4, 5], 5))
def human_readable_size(size, decimal_places=2): for unit in ['B','KB','MB','GB','TB']: if size < 1024.0: break size /= 1024.0 return f"{size:.{decimal_places}f} {unit}"
def RemoveA(file1='Weird.txt',file2='WeirdButA.txt'): f=open(file2,'a') lst=open(file1,'r').readlines() f1=open(file1,'w') for x in lst: if 'a' in x or 'A' in x: f.write(x) else: f1.write(x) f.close() f1.close() print(open(file1,'r').read(),open(file2,'r').read()) RemoveA()
pn = int(input('Digite o primeiro número: ')) sn = int(input('Digite o segundo número: ')) tn = int(input('Digite o terceiro número: ')) if pn > sn and pn > tn: print('O primeiro número é o maior.'.format(pn)) if pn < sn and pn < tn: print('O primeiro número é o menor'.format(pn)) if sn > pn and sn > tn: print('O segundo número é o maior'.format(sn)) if sn < pn and sn < tn: print('O segundo número é o menor'.format(sn)) if tn > pn and tn > sn: print('O terceiro número é o maior'.format(tn)) if tn < pn and tn < sn: print('O terceiro número é o menor'.format(tn))
wt0_16_4 = {'192.168.122.111': [8.3103, 8.0392, 7.6612, 7.6962, 7.5176, 7.5481, 7.5683, 7.5518, 7.8167, 7.7147, 7.6347, 7.5667, 7.5034, 7.9934, 7.9606, 7.9429, 7.9216, 7.8997, 7.8826, 8.0898, 8.037, 8.36, 8.3285, 8.4888, 8.4126, 8.3655, 8.2986, 8.258, 8.2224, 8.1874, 8.1354, 8.1046, 8.2392, 8.2046, 8.1844, 8.1706, 8.1582, 8.1317, 8.1214, 8.0948, 8.0548, 8.0183, 8.0002, 7.973, 7.9512, 7.9496, 7.9225, 7.9308, 7.9368, 7.9226, 7.9, 7.8689, 7.8479, 7.827, 7.8126, 7.8134, 7.8033, 7.7925, 7.7745, 7.6912, 7.692200000000001, 7.6813, 7.6008, 7.514, 7.5196, 7.587, 7.5832, 7.4953, 7.4972, 7.5021, 7.4376, 7.4318, 7.4258, 7.4227, 7.3766, 7.3647, 7.3642, 7.3937, 7.3842, 7.375, 7.3711, 7.3137, 7.2711, 7.2118, 7.1764, 7.1216, 7.1177, 7.1787, 7.1659, 7.1548, 7.1514, 7.0893, 7.0323, 7.0305, 7.0315, 7.032500000000001, 7.036, 7.0324, 7.0408, 6.9961, 7.0036, 7.0046, 7.0123, 7.0146, 6.9612, 6.9161, 6.9252, 6.9307, 6.9758, 6.9971, 6.9868, 7.3222, 7.3241, 7.3192, 7.3183, 7.3191, 7.3195, 7.313, 7.3118, 7.2631, 7.2276, 7.231, 7.2273, 7.2219, 7.2211, 7.2201, 7.221100000000001, 7.2208, 7.2237, 7.2276, 7.2312, 7.2293, 7.2287, 7.2276, 7.2224, 7.2216, 7.2268, 7.227, 7.2259, 7.2255, 7.225, 7.2188, 7.1922, 7.4323, 7.4251, 7.4253, 7.4242, 7.4207, 7.4152, 7.608, 7.6008, 7.6082, 7.6017, 7.6633, 7.6438, 7.6153, 7.6123, 7.6369, 7.6612, 7.6281, 7.5977, 7.5924, 7.5876, 7.619, 7.614, 7.6269, 7.6209, 7.6193, 7.6142, 7.6115, 7.6096, 7.6515, 7.6493, 7.6187, 7.5851, 7.6309, 7.6646, 7.659, 7.6557, 7.6658, 7.6687, 7.669700000000001, 7.670700000000001, 7.671700000000001, 7.6685, 7.6363, 7.6417, 7.6421, 7.6393, 7.6113, 7.5857, 7.6111, 7.6244, 7.6324, 7.7465, 7.7412, 7.7363, 7.7106, 7.691, 7.6631, 7.6609, 7.659, 7.6583, 7.6332, 7.6334, 7.6321, 7.6072, 7.5831, 7.5814, 7.605, 7.6031, 7.5991, 7.5972, 7.5955, 7.5964, 7.5925, 7.5906, 7.5892, 7.5976, 7.5943, 7.5715, 7.5449, 7.5455, 7.544, 7.5539, 7.5616, 7.5601, 7.5587, 7.5545, 7.5525, 7.5535000000000005, 7.5995, 7.5738, 7.5468, 7.5228, 7.4982, 7.4992, 7.4982, 7.4987, 7.5391, 7.5388, 7.524, 7.5244, 7.523, 7.4996, 7.4904, 7.4895, 7.5056, 7.5309, 7.5319, 7.5309, 7.5317, 7.5308, 7.5476, 7.545, 7.5439, 7.5404, 7.5365, 7.5582, 7.5565, 7.6475, 7.6256, 7.6268, 7.6246, 7.6206, 7.6002, 7.607, 7.605, 7.6047, 7.6043, 7.5841, 7.5727, 7.5707, 7.5702, 7.5687, 7.5731, 7.574, 7.5742, 7.6595, 7.6572, 7.6531, 7.6502, 7.6487, 7.6501, 7.6666, 7.6481, 7.6498, 7.7605, 7.761500000000001, 7.762500000000001, 7.763500000000001, 7.7624, 7.7588, 7.7413, 7.738, 7.7385, 7.7525, 7.7531, 7.7326, 7.7235, 7.7197, 7.7157, 7.7219, 7.718, 7.7161, 7.7162, 7.7142, 7.7128, 7.7118, 7.7139, 7.7117, 7.7131, 7.7109, 7.7092, 7.7073, 7.7074, 7.7055, 7.7056, 7.7067, 7.7038, 7.7044, 7.7045, 7.7043, 7.7015, 7.702500000000001, 7.703500000000001, 7.7037, 7.687, 7.6881, 7.6867, 7.6887, 7.6897, 7.6875, 7.6885, 7.689500000000001, 7.6912, 7.69, 7.6987, 7.6944, 7.6933, 7.6903, 7.6909, 7.6988, 7.7039, 7.7101, 7.7196, 7.7207, 7.7215, 7.7205, 7.7207, 7.7195, 7.7182, 7.7199, 7.7189, 7.7178, 7.7192, 7.7187, 7.7189, 7.7191, 7.7194, 7.717, 7.7149, 7.7128, 7.7731, 7.7712, 7.7713, 7.769, 7.7692, 7.7682, 7.7669, 7.7497, 7.7488, 7.7498000000000005, 7.750800000000001, 7.7497, 7.7486, 7.7344, 7.7346, 7.7342, 7.7367, 7.7372, 7.7235, 7.7092, 7.7077, 7.7101, 7.6968, 7.7012, 7.7018, 7.6873, 8.3206, 8.3092, 8.3087, 8.2932, 8.3091, 8.3003, 8.3361, 8.3353, 8.3646, 8.3505, 8.3511, 8.3529, 8.3514, 8.3495, 8.3327, 8.3314, 8.3278, 8.3264, 8.3236, 8.3215, 8.3237, 8.32, 8.3187, 8.3166, 8.3033, 8.3008, 8.2848, 8.2707, 8.2558, 8.2535, 8.2384, 8.224, 8.2219, 8.2196, 8.2267, 8.2254, 8.2222, 8.2207, 8.2052, 8.2064, 8.2038, 8.2011, 8.1978, 8.2009, 8.1878, 8.1852, 8.1841, 8.1829, 8.1818, 8.1806, 8.1765, 8.1637, 8.1628, 8.1617, 8.147, 8.1461, 8.142, 8.143, 8.144, 8.1415, 8.1391, 8.1393, 8.1386, 8.1387, 8.126, 8.1122, 8.1101, 8.1097, 8.0971, 8.0824, 8.0799, 8.0775, 8.077, 8.0649, 8.0628, 8.0602, 8.0579, 8.0454, 8.0449, 8.0435, 8.0439, 8.0434, 8.0408, 8.0376, 8.0355, 8.0359, 8.0258, 8.0166, 8.0171, 8.0148, 8.0126, 8.0169, 8.0173, 8.0156, 8.0139, 8.002, 8.0004, 7.9986, 7.9969, 7.9952, 7.9835, 7.9919, 7.9907, 7.9897, 7.9886, 7.9876, 7.9887, 7.9769, 7.9769, 7.9753, 7.9735, 7.9719, 7.9732, 7.9713, 8.0134, 8.0013, 8.0002, 7.9985, 7.9859, 7.9858, 7.9843, 7.9742, 7.9723, 7.971, 7.968, 7.9569, 7.9462, 7.9453, 7.9437, 7.942, 7.9493, 7.9469, 7.9441, 7.9427, 7.9308, 7.9193, 7.9194, 7.9085, 7.8971, 7.885, 7.8838, 7.8824, 7.881, 7.8792, 7.8784, 7.8811, 7.8711, 7.8724, 7.8649, 7.8729, 7.874, 7.8709, 7.8682, 7.8657, 7.8637, 7.8629, 7.861, 7.8586, 7.8561, 7.8551, 7.8696, 7.8677, 7.8676, 7.8657, 7.8647, 7.8637, 7.8558, 7.8562, 7.8607, 7.8515, 7.8538, 7.8439, 7.8438, 7.8337, 7.8327, 7.8321, 7.8328, 7.8328, 7.8386, 7.8376, 7.8361, 7.8337, 7.8335, 7.8318, 7.8308, 7.8291, 7.8289, 7.8289, 7.8194, 7.8146, 7.8145, 7.8136, 7.8134, 7.8117, 7.8118, 7.8132, 7.8138, 7.8119, 7.8117, 7.8116, 7.8236, 8.3978, 8.3971, 8.6835, 8.6797, 8.68, 8.677, 8.7483, 8.7518, 8.7403, 8.7286, 8.7168, 8.7223, 8.7196, 8.7186, 8.7166, 8.7132, 8.7104, 8.7081, 8.7064, 8.704, 8.7016, 8.7, 8.6968, 8.6953, 8.6932, 8.6983, 8.6879, 8.6838, 8.6817, 8.6787, 8.6767, 8.6761, 8.674, 8.6729, 8.7031, 8.702, 8.7003, 8.6988, 8.6957, 8.6934, 8.69, 8.6877, 8.6774, 8.6675, 8.6659, 8.6628, 8.6606, 8.6592, 8.6569, 8.6915, 8.6891, 8.6867, 8.6842, 8.6809, 8.6785, 8.676, 8.6674, 8.6601, 8.651, 8.648, 8.6405, 8.6475, 8.6399, 8.6407, 8.6379, 8.635, 8.6321, 8.63, 8.6271, 8.6249, 8.6219, 8.6205, 8.6184, 8.6163, 8.6143, 8.6114, 8.6095, 8.6073, 8.6048, 8.6029, 8.6002, 8.5975, 8.5956, 8.5946, 8.5927, 8.5909, 8.5819, 8.6309, 8.6216, 8.6114, 8.6099, 8.6071, 8.6049, 8.6032, 8.6009, 8.5983, 8.5961, 8.5958, 8.5959, 8.5947, 8.593, 8.5912, 8.5894, 8.5879, 8.5873, 8.5855, 8.5759, 8.5667, 8.565, 8.5627, 8.5627, 8.5592, 8.5579, 8.5556, 8.5542, 8.5517, 8.5497, 8.5475, 8.5463, 8.5387, 8.5401, 8.5337, 8.5314, 8.5302, 8.5281, 8.5284, 8.5194, 8.5176, 8.5165, 8.5144, 8.5123, 8.5111, 8.509, 8.5069, 8.5048, 8.5035, 8.5006, 8.4994, 8.4974, 8.4954, 8.4944, 8.4865, 8.4966, 8.4937, 8.4946, 8.487, 8.485, 8.5016, 8.4941, 8.4859, 8.4772, 8.4738, 8.4663, 8.4584, 8.4583, 8.4628, 8.4617, 8.4534, 8.4458, 8.4525, 8.451, 8.4433, 8.4424, 8.4346, 8.4264, 8.4174, 8.4155, 8.4133, 8.4113, 8.4029, 8.4002, 8.3934, 8.392, 8.3912, 8.3856, 8.4041, 8.4024, 8.4007, 8.3985, 8.3964, 8.3944, 8.3929, 8.3907, 8.3816, 8.3731, 8.3705, 8.3625, 8.3608, 8.3616, 8.3595, 8.3575, 8.3606, 8.3527, 8.3512, 8.3433, 8.3358, 8.3345, 8.3319, 8.3304, 8.329, 8.326, 8.3238, 8.3225, 8.3241, 8.3227, 8.3213, 8.3206, 8.32, 8.3179, 8.3158, 8.3138, 8.3117, 8.3097, 8.3084, 8.3071, 8.3064, 8.3051, 8.3036, 8.3038, 8.3038, 8.3027, 8.3014, 8.2994, 8.2987, 8.2971, 8.2951, 8.2931, 8.2919, 8.2906, 8.2899, 8.2873, 8.2858, 8.2837, 8.2829, 8.2826, 8.2801, 8.2781, 8.2761, 8.2749, 8.2758, 8.2684, 8.267, 8.2658, 8.2651, 8.2634, 8.2654, 8.2647, 8.2639, 8.2633, 8.2623, 8.2613, 8.2596, 8.2587, 8.2591, 8.2575, 8.2496, 8.2494, 8.2476, 8.2452, 8.2436, 8.2417, 8.2405, 8.2335, 8.2264, 8.2251, 8.2242, 8.2226, 8.2222, 8.2211, 8.2204, 8.2135, 8.2118, 8.2096, 8.2081, 8.2077, 8.2005, 8.1935, 8.1921, 8.2086, 8.2068, 8.201, 8.1995, 8.198, 8.1977, 8.1966, 8.195, 8.1947, 8.1942, 8.1953, 8.1953, 8.1938, 8.1937, 8.1922, 8.1918, 8.1915, 8.1912, 8.191, 8.1908, 8.1893, 8.1878, 8.187, 8.1868, 8.1867, 8.1854, 8.1841, 8.1833, 8.1825, 8.1817, 8.1811, 8.1806, 8.1736, 8.1769, 8.1768, 8.1758, 8.1748, 8.1738, 8.1731, 8.173, 8.1721, 8.1711, 8.1701, 8.1691, 8.1681, 8.1671, 8.1603, 8.1611, 8.1601, 8.1592, 8.1595, 8.1609, 8.1591, 8.1592, 8.1579, 8.1577, 8.1561, 8.1557, 8.155, 8.1539, 8.1543, 8.1534, 8.1524, 8.1521, 8.1511, 8.1441, 8.1383, 8.1373, 8.1374, 8.1312, 8.1348, 8.1339, 8.1327, 8.132, 8.1306, 8.1304, 8.129, 8.1282, 8.1274, 8.1274, 8.1213, 8.1227, 8.1248, 8.1241, 8.1246, 8.124, 8.1178, 8.1206, 8.1257, 8.1247, 8.1269, 8.1271, 8.1261, 8.1249, 8.1235, 8.1243, 8.1229, 8.1224, 8.1218, 8.1206, 8.1193, 8.1301, 8.1241, 8.1237, 8.1332, 8.1971, 8.1919, 8.1914, 8.1928, 8.1893, 8.191, 8.1931, 8.2096, 8.2089, 8.211, 8.2049, 8.201, 8.2001, 8.1992, 8.1978, 8.1964, 8.196, 8.1947, 8.1942, 8.1928, 8.1914, 8.1895, 8.1886, 8.1912, 8.1898, 8.1889, 8.188, 8.1867, 8.1888, 8.1899, 8.1888, 8.1884, 8.1899, 8.1932, 8.1922, 8.1919, 8.1915, 8.1854, 8.1887, 8.1875, 8.1863, 8.1858, 8.1847, 8.179, 8.1938, 8.1883, 8.1823, 8.1765, 8.1774, 8.1755, 8.1736, 8.1724, 8.172, 8.1707, 8.17, 8.1694, 8.1686, 8.167, 8.1663, 8.1648, 8.1655, 8.1643, 8.1634, 8.1575, 8.1514, 8.1505, 8.1504, 8.1504, 8.1496, 8.1488, 8.1481, 8.1466, 8.1452, 8.1439, 8.1431, 8.1424, 8.1417, 8.1402, 8.1395, 8.1384, 8.1372, 8.1358, 8.1366, 8.1356, 8.1351, 8.1347, 8.1342, 8.1339, 8.139, 8.1382, 8.1376, 8.1318, 8.1311, 8.1316, 8.1328, 8.1366, 8.1361, 8.1307, 8.1495, 8.1435, 8.1419, 8.1542, 8.1606, 8.1861, 8.1853, 8.1797, 8.1782, 8.1725, 8.1696, 8.1697, 8.169, 8.1677, 8.1664, 8.1666, 8.1651, 8.1638, 8.1621, 8.1608, 8.1596, 8.1581, 8.1577, 8.1584, 8.1876, 8.1816, 8.1853, 8.1844, 8.1833, 8.1824, 8.1839, 8.1786, 8.1784, 8.1724, 8.1723, 8.1714, 8.1705, 8.1701, 8.1703, 8.1694, 8.1694, 8.1685, 8.1684, 8.1675, 8.1618, 8.1606, 8.1597, 8.164, 8.1589, 8.1588, 8.1586, 8.1625, 8.1621, 8.1563, 8.1614, 8.1606, 8.1624, 8.1582, 8.1617, 8.1629, 8.1626, 8.1624, 8.1621, 8.1627, 8.1642, 8.1632, 8.1618, 8.1612, 8.1598, 8.1591, 8.1585, 8.1579, 8.1821, 8.1766, 8.1757, 8.174, 8.1731, 8.168, 8.1629, 8.1668, 8.1606, 8.1596, 8.1585, 8.1575, 8.1571, 8.1567, 8.163, 8.1619, 8.162, 8.1614, 8.1614, 8.1602, 8.159, 8.1585, 8.1605, 8.1601, 8.1595, 8.1607, 8.1555, 8.155, 8.1544, 8.1558, 8.1559, 8.1547, 8.1492, 8.1479, 8.1473, 8.1468, 8.1489, 8.144, 8.1434, 8.1385, 8.1373, 8.1367, 8.1355, 8.1348, 8.1342, 8.1336, 8.133, 8.1321, 8.1346, 8.1346, 8.1334, 8.1332, 8.1278, 8.1284, 8.1282, 8.128, 8.1277, 8.1293, 8.1288, 8.1297, 8.1435, 8.1422, 8.1408, 8.1409, 8.1404, 8.1399, 8.14, 8.1449, 8.1445, 8.145, 8.1447, 8.1443, 8.1397, 8.1442, 8.1435, 8.1428, 8.142, 8.1368, 8.136, 8.1365, 8.1357, 8.1351, 8.1342, 8.1338, 8.1333, 8.1331, 8.1326, 8.1323, 8.1327, 8.1315, 8.1317, 8.1313, 8.1275, 8.1287, 8.1242, 8.1239, 8.1243, 8.1245, 8.1235, 8.1185, 8.1156, 8.1144, 8.1177, 8.1129, 8.1119, 8.1116, 8.1115, 8.1113, 8.1146, 8.1138, 8.1132, 8.1124, 8.1079, 8.1034, 8.1036, 8.1029, 8.1023, 8.1018, 8.1018, 8.0969, 8.0969, 8.0961, 8.0961, 8.0955, 8.095, 8.0949, 8.0939, 8.0927, 8.0923, 8.0911, 8.09, 8.0894, 8.0888, 8.0883, 8.0877, 8.0865, 8.0859, 8.0855, 8.085, 8.0844, 8.0845, 8.084, 8.0791, 8.0749, 8.0757, 8.0778, 8.0776, 8.0732, 8.0724, 8.0723, 8.0717, 8.0673, 8.0697, 8.0688, 8.0646, 8.0677, 8.076, 8.0793, 8.0782, 8.0774, 8.0829, 8.0835, 8.0792, 8.0751, 8.0816, 8.0806, 8.0763, 8.0719, 8.0712, 8.0709, 8.0706, 8.0696, 8.0689, 8.0685, 8.0687, 8.0685, 8.0642, 8.06, 8.059, 8.0594, 8.0588, 8.0546, 8.0498, 8.0496, 8.0492, 8.0479, 8.0447, 8.0442, 8.0435, 8.0391, 8.0357, 8.0349, 8.0346, 8.0297, 8.0293, 8.03, 8.0318, 8.031, 8.0302, 8.0299, 8.0296, 8.0289, 8.0279, 8.0271, 8.0264, 8.0256, 8.0248, 8.0212, 8.0202, 8.0224, 8.0218, 8.0207, 8.0201, 8.02, 8.0193, 8.0188, 8.0177, 8.0176, 8.017, 8.0131, 8.0084, 8.0068, 8.0057, 8.0049, 8.0042, 8.0035, 8.0028, 8.002, 8.001, 8.0001, 7.9979, 7.9936, 7.9949, 7.9946, 7.9943, 7.9936, 7.9929, 7.9922, 7.9915, 7.9916, 7.9913, 7.991, 7.9923, 7.9923, 7.992, 7.9894, 7.9852, 7.9829, 7.9829, 7.9822, 7.9896, 7.9858, 7.9816, 7.9818, 7.9811, 7.9773, 7.9792, 7.9805, 7.9802, 7.98, 7.979, 7.9803, 7.9802, 7.9789, 7.979, 7.9816, 7.9776, 7.9767, 7.9761, 7.9764, 7.9755, 7.9755, 7.9786, 7.9743, 7.9731, 7.9747, 7.9714, 7.9707, 7.9698, 7.9657, 7.9655, 7.965, 7.9649, 7.9644, 7.9605, 7.9637, 7.9691, 7.9687, 7.9683, 7.9697, 7.9692, 7.9692, 7.9687, 7.9682, 7.9677, 7.9676, 7.9675, 7.9702, 7.966, 7.9653, 7.9647, 7.9676, 7.9677, 7.967, 7.9657, 7.9655, 7.9648, 7.9641, 7.965, 7.965, 7.9649, 7.9642, 7.9635, 7.9645, 7.9643, 7.9642, 7.9638, 7.9627, 7.9613, 7.9612, 7.9609, 7.9633, 7.9629, 7.9624, 7.9621, 7.9582, 7.9579, 7.9577, 7.9609, 7.9606, 7.9603, 7.9607, 7.9605, 7.9601, 7.9596, 7.9595, 7.9586, 7.9584, 7.9575, 7.9572, 7.9569, 7.9572, 7.9579, 7.9576, 7.9582, 7.9581, 7.9538, 7.9537, 7.9539, 7.9535, 7.9497, 7.9498, 7.9499, 7.9492, 7.9537, 7.9537, 7.9532, 7.9529, 7.9524, 7.9527, 7.9522, 7.9512, 7.9502, 7.9503, 7.9497, 7.9492, 7.9487, 7.9482, 7.9472, 7.9467, 7.9437, 7.9438, 7.9433, 7.9427, 7.9421, 7.9447, 7.944, 7.9449, 7.9412, 7.9426, 7.9427, 7.9421, 7.9384, 7.9342, 7.9334, 7.9333, 7.9332, 7.9323, 7.9322, 7.9321, 7.9321, 7.933, 7.9289, 7.9289, 7.9282, 7.9245, 7.9246, 7.9239, 7.9241, 7.9197, 7.9203, 7.9219, 7.9224, 7.9217, 7.9214, 7.9208, 7.9201, 7.9199, 7.9197, 7.9196, 7.9199, 7.919, 7.9187, 7.919, 7.9186, 7.9182, 7.9144, 7.9105, 7.9102, 7.9119, 7.914, 7.9137, 7.9133, 7.9129, 7.9127, 7.9124, 7.916, 7.9171, 7.9162, 7.9161, 7.9163, 7.9156, 7.9158, 7.9148, 7.9143, 7.9138, 7.9151, 7.9113, 7.9122, 7.9118, 7.9113, 7.908, 7.9081, 7.9076, 7.9076, 7.9084, 7.9085, 7.9087, 7.9083, 7.9074, 7.9075, 7.9071, 7.9067, 7.9064, 7.9055, 7.9019, 7.9015, 7.9011, 7.9007, 7.897, 7.8966, 7.8961, 7.8957, 7.8962, 7.8958, 7.8955, 7.8951, 7.8942, 7.8941, 7.8968, 7.8963, 7.8928, 7.8937, 7.8933, 7.8934, 7.8936, 7.8935, 7.8936, 7.8926, 7.8922, 7.8918, 7.8914, 7.8913, 7.8908, 7.8917, 7.8884, 7.8914, 7.8909, 7.8908, 7.8907, 7.8906, 7.8874, 7.8882, 7.8878, 7.8881, 7.8879, 7.8877, 7.8874, 7.887, 7.8863, 7.8856, 7.8854, 7.8852, 7.885, 7.886, 7.8873, 7.8871, 7.8864, 7.8857, 7.8856, 7.8854, 7.8852, 7.8846, 7.8839, 7.8843, 7.8836, 7.8834, 7.8834, 7.883, 7.8825, 7.8832, 7.8824, 7.8822, 7.882, 7.8821, 7.882, 7.8818, 7.8816, 7.8815, 7.8813, 7.8811, 7.881, 7.8822, 7.8814, 7.8863, 7.8949, 7.8968, 7.8966, 7.8979, 7.8992, 7.9054, 7.9046, 7.9028, 7.906, 7.9023, 7.9016, 7.9014, 7.9013, 7.9009, 7.9036, 7.9001, 7.8995, 7.8995, 7.8988, 7.8985, 7.8995, 7.8993, 7.8988, 7.8981, 7.8977, 7.8981, 7.8977, 7.8976, 7.8971, 7.8972, 7.8969, 7.8967, 7.8962, 7.8957, 7.8952, 7.8946, 7.9033, 7.9041, 7.9013, 7.9019, 7.9014, 7.9008, 7.9002, 7.9002, 7.8968, 7.9026, 7.9005, 7.8971, 7.8979, 7.9039, 7.9039, 7.903, 7.9024, 7.9018, 7.9017, 7.9012, 7.9011, 7.8999, 7.899, 7.8992, 7.8991, 7.8959, 7.8926, 7.9063, 7.9088, 7.9086, 7.9094, 7.9089, 7.908, 7.9075, 7.907, 7.9061, 7.9054, 7.9049, 7.9047, 7.906, 7.9026, 7.902, 7.9014, 7.9023, 7.9018, 7.9014, 7.9014, 7.8998, 7.8964, 7.8961, 7.8947, 7.8951, 7.8948, 7.8939, 7.8936, 7.8932, 7.8931, 7.8926, 7.9098, 7.9104, 7.91, 7.9069, 7.9045, 7.9016, 7.8986, 7.8984, 7.8982, 7.8974, 7.8976, 7.8977, 7.8981, 7.898, 7.8977, 7.8977, 7.8941, 7.8907, 7.8927, 7.8922, 7.8892, 7.8893, 7.8888, 7.8881, 7.8892, 7.886, 7.883, 7.8825, 7.8822, 7.879, 7.8792, 7.8759, 7.8756, 7.875, 7.8716, 7.8681, 7.8676, 7.8643, 7.8609, 7.858, 7.8558, 7.8525, 7.8496, 7.8465, 7.8432, 7.8429, 7.8434, 7.8402, 7.8391, 7.8389, 7.8386, 7.8387, 7.8356, 7.8353, 7.8351, 7.8349, 7.8317, 7.8314, 7.8311, 7.8311, 7.8307, 7.8302, 7.8302, 7.8302, 7.8275, 7.8243, 7.8241, 7.8207, 7.8206, 7.8198, 7.8197, 7.8172, 7.8167, 7.8167, 7.8161, 7.8129, 7.813, 7.8131, 7.8102, 7.8072, 7.8078, 7.8076, 7.8045, 7.8018, 7.8015, 7.8016, 7.801, 7.8008, 7.8005, 7.7999, 7.7999, 7.7999, 7.7995, 7.7968, 7.7967, 7.8007, 7.8006, 7.8007, 7.8002, 7.8003, 7.8012, 7.801, 7.7981, 7.7998, 7.7994, 7.799, 7.7995, 7.7965, 7.7959, 7.7954, 7.795, 7.795, 7.7946, 7.7946, 7.7945, 7.794, 7.794, 7.794, 7.8023, 7.8041, 7.8037, 7.8013, 7.7986, 7.7988, 7.7987, 7.7983, 7.7979, 7.7979, 7.7978, 7.7974, 7.7975, 7.7973, 7.7969, 7.7961, 7.7957, 7.7954, 7.7954, 7.7954, 7.7983, 7.7977, 7.7994, 7.799, 7.7985, 7.7955, 7.7923, 7.7923, 7.7922, 7.7916, 7.791, 7.7906, 7.7907, 7.7905, 7.7901, 7.7898, 7.7899, 7.79, 7.7896, 7.7892, 7.7888, 7.7889, 7.7922, 7.7918, 7.7914, 7.7915, 7.7888, 7.7877, 7.788, 7.7889, 7.7885, 7.7892, 7.7885, 7.7882, 7.7876, 7.7876, 7.7878, 7.7876, 7.787, 7.7868, 7.7865, 7.7863, 7.7861, 7.7859, 7.7857, 7.7872, 7.7841, 7.7839, 7.7837, 7.7835, 7.7804, 7.7813, 7.7821, 7.7924, 7.7935, 7.7937, 7.7943, 7.7945, 7.7941, 7.7937, 7.7934, 7.793, 7.7926, 7.7922, 7.7918, 7.7933, 7.7935, 7.7932, 7.7929, 7.7933, 7.7934, 7.793, 7.7905, 7.7876, 7.7872, 7.7875, 7.7869, 7.7873, 7.7847, 7.7842, 7.7856, 7.7881, 7.7852, 7.7851, 7.7846, 7.7818, 7.7802, 7.7801, 7.78, 7.782, 7.7819, 7.782, 7.7788, 7.7787, 7.781, 7.7781, 7.7775, 7.7769, 7.7768, 7.7739, 7.7708, 7.7707, 7.7725, 7.7719, 7.772, 7.7722, 7.7718, 7.7716, 7.7714, 7.7718, 7.7716, 7.7714, 7.7749, 7.7747, 7.7742, 7.7763, 7.778, 7.8107, 7.8124, 7.8099, 7.8072, 7.808, 7.8172, 7.8176, 7.8193, 7.8187, 7.8181, 7.8178, 7.8172, 7.8164, 7.8163, 7.8162, 7.8161, 7.8157, 7.8154, 7.8153, 7.815, 7.8147, 7.8143, 7.814, 7.8133, 7.813, 7.813, 7.8133, 7.8128, 7.8126, 7.8123, 7.8122, 7.8112, 7.8106, 7.8101, 7.81, 7.8098, 7.8091, 7.8086, 7.8081, 7.8076, 7.8071, 7.8068, 7.8066, 7.8064, 7.8062, 7.806, 7.8062, 7.8061, 7.8059, 7.8057, 7.8056, 7.8054, 7.8052, 7.8053, 7.8049, 7.8043, 7.8041, 7.8034, 7.8032, 7.8035, 7.8029, 7.8023, 7.8021, 7.8019, 7.8012, 7.8011, 7.801, 7.8009, 7.8008, 7.8007, 7.7979, 7.7971, 7.797, 7.7967, 7.7973, 7.7946, 7.7948, 7.7944, 7.794, 7.7939, 7.7937, 7.7936, 7.7935, 7.7934, 7.7928, 7.7927, 7.7923, 7.7919, 7.7915, 7.7929, 7.7928, 7.79, 7.7951, 7.7945, 7.7939, 7.791, 7.7921, 7.7923, 7.7923, 7.7919, 7.7915, 7.7915, 7.7915, 7.7915, 7.7911, 7.7883, 7.7888, 7.7887, 7.7885, 7.7884, 7.7878, 7.7877, 7.7875, 7.7871, 7.7869, 7.7867, 7.7865, 7.7863, 7.7861, 7.7835, 7.781, 7.7809, 7.7803, 7.7776, 7.7749, 7.7785, 7.7792, 7.7787, 7.7785, 7.7801, 7.7799, 7.7771, 7.7746, 7.7739, 7.7736, 7.7731, 7.7727, 7.7722, 7.7719, 7.7712, 7.771, 7.7705, 7.7703, 7.7704, 7.7676, 7.7675, 7.765, 7.7648, 7.7646, 7.7644, 7.7643, 7.7621, 7.7622, 7.7623, 7.7604, 7.7578, 7.7603, 7.7617, 7.7615, 7.7614, 7.7613, 7.7612, 7.761, 7.7609, 7.7623, 7.7619, 7.7617, 7.7615, 7.7612, 7.7618, 7.7615, 7.7617, 7.7615, 7.7613, 7.7613, 7.7613, 7.7608, 7.761, 7.7638, 7.7638, 7.7633, 7.7631, 7.763, 7.7628, 7.7647, 7.7644, 7.7645, 7.7646, 7.7649, 7.7647, 7.7646, 7.7642, 7.7619, 7.7621, 7.7599, 7.7601, 7.7599, 7.7574, 7.7547, 7.7545, 7.7542, 7.7539, 7.7536, 7.7533, 7.7534, 7.7534, 7.7532, 7.7529, 7.7525, 7.75, 7.7476, 7.7473, 7.747, 7.7445, 7.7442, 7.7442, 7.7442, 7.742, 7.7417, 7.7414, 7.7413, 7.7416, 7.7413, 7.741, 7.7407, 7.74, 7.7401, 7.738, 7.738, 7.7382, 7.7379, 7.7377, 7.7373, 7.7369, 7.7365, 7.7396, 7.7392, 7.739, 7.7386, 7.7387, 7.7384, 7.7384, 7.738, 7.7377, 7.7374, 7.738, 7.738, 7.7395, 7.7392, 7.7391, 7.7398, 7.7394, 7.739, 7.7391, 7.7387, 7.7361, 7.7337, 7.7341, 7.7337, 7.7315, 7.7315, 7.7292, 7.7292, 7.7289, 7.7287, 7.729, 7.7267, 7.7269, 7.7268, 7.7269, 7.7265, 7.7246, 7.722, 7.7195, 7.7193, 7.7167, 7.7157, 7.7167, 7.7173, 7.7152, 7.7152, 7.715, 7.7148, 7.7147, 7.7148, 7.7146, 7.7143, 7.7141, 7.7154, 7.713, 7.713, 7.7132, 7.7137, 7.7138, 7.7144, 7.7145, 7.7148, 7.7145, 7.7142, 7.7139, 7.7137, 7.7134, 7.7131, 7.7105, 7.711, 7.7116, 7.7114, 7.7116, 7.7118, 7.7115, 7.7091, 7.7097, 7.7094, 7.7096, 7.7103, 7.7161, 7.7137, 7.7112, 7.711, 7.7108, 7.7106, 7.7105, 7.7103, 7.7102, 7.71, 7.7099, 7.7101, 7.7099, 7.7094, 7.7096, 7.7071, 7.707, 7.707, 7.7071, 7.7072, 7.7049, 7.705, 7.7047, 7.7044, 7.706, 7.7057, 7.7056, 7.7057, 7.7031, 7.701, 7.701, 7.7009, 7.7025, 7.702, 7.7018, 7.6996, 7.6971, 7.695, 7.6949, 7.6944, 7.6947, 7.6945, 7.6946, 7.6944, 7.6942, 7.6943, 7.6941, 7.6936, 7.6934, 7.6909, 7.69, 7.6898, 7.6898, 7.6948, 7.6943, 7.6945, 7.6952, 7.6929, 7.6927, 7.6925, 7.6923, 7.6919, 7.692, 7.6918, 7.6922, 7.7087, 7.7087, 7.7084, 7.7085, 7.7081, 7.7082, 7.7057, 7.7074, 7.707, 7.7066, 7.7066, 7.7062, 7.7063, 7.7039, 7.7013, 7.701, 7.7011, 7.7008, 7.7008, 7.7053, 7.7029, 7.7047, 7.704, 7.7016, 7.6994, 7.7009, 7.7006, 7.7003, 7.7, 7.6996, 7.6993, 7.699, 7.6985, 7.699, 7.6987, 7.6963, 7.6961, 7.6962, 7.6964, 7.6942, 7.6948, 7.6942, 7.6941, 7.6936, 7.6953, 7.6972, 7.6968, 7.697, 7.6966, 7.6964, 7.694, 7.6916, 7.6914, 7.6913, 7.689, 7.6894, 7.6895, 7.6896, 7.6899, 7.6897, 7.6897, 7.6893, 7.6896, 7.6896, 7.6896, 7.6891, 7.6886, 7.6886, 7.6886, 7.6882, 7.6896, 7.6903, 7.6905, 7.69, 7.69, 7.6905, 7.6898, 7.6895, 7.691, 7.6915, 7.6898, 7.6881, 7.6879, 7.6912, 7.6906, 7.6907, 7.6883, 7.686, 7.6863, 7.6859, 7.6856, 7.6856, 7.6855, 7.6853, 7.6852, 7.6838, 7.6832, 7.6815, 7.6814, 7.6792, 7.679, 7.6787, 7.6784, 7.6786, 7.6785, 7.6785, 7.6784, 7.6785, 7.6761, 7.6769, 7.6768, 7.6767, 7.6764, 7.6761, 7.6761, 7.6758, 7.6755, 7.6755, 7.6762, 7.675, 7.6755, 7.6732, 7.6746, 7.6746, 7.6726, 7.6724, 7.6718, 7.6695, 7.6671, 7.667, 7.6666, 7.6666, 7.6667, 7.6667, 7.6666, 7.6666, 7.6665, 7.6669, 7.6649, 7.6627, 7.6617, 7.6616, 7.6615, 7.6614, 7.6613, 7.6612, 7.6607, 7.6606, 7.6605, 7.6605, 7.66, 7.6595, 7.6571, 7.6566, 7.6565, 7.6577, 7.6578, 7.659, 7.6576, 7.6576, 7.6581, 7.6559, 7.6559, 7.6556, 7.6553, 7.655, 7.6547, 7.6547, 7.6544, 7.6544, 7.6539, 7.6525, 7.6525, 7.6503, 7.6501, 7.6496, 7.6509, 7.6506, 7.6516, 7.6513, 7.653, 7.6527, 7.6526, 7.6533, 7.6543, 7.658, 7.6577, 7.6574, 7.6584, 7.6588, 7.6568, 7.658, 7.6578, 7.6557, 7.6556, 7.6571, 7.657, 7.6572, 7.6571, 7.657, 7.6566, 7.6565, 7.6564, 7.656, 7.6559, 7.6558, 7.6554, 7.655, 7.6549, 7.6548, 7.655, 7.6546, 7.6548, 7.6548, 7.6547, 7.6545, 7.6548, 7.6543, 7.6543, 7.652, 7.6581, 7.6589, 7.6589, 7.6619, 7.6608, 7.6624, 7.6624, 7.6623, 7.6624, 7.6623, 7.6626, 7.6625, 7.6632, 7.6611, 7.6596, 7.6593, 7.6589, 7.6588, 7.657, 7.6564, 7.6561, 7.6563, 7.6558, 7.6559, 7.6554, 7.6551, 7.6551, 7.655, 7.6549, 7.6561, 7.6557, 7.6559, 7.6562, 7.656, 7.6558, 7.6574, 7.6554, 7.6552, 7.6546, 7.6544, 7.6549, 7.6553, 7.6551, 7.6549, 7.6547, 7.6547, 7.6548, 7.6545, 7.6564, 7.6544, 7.6526, 7.6518, 7.6536, 7.6538, 7.6537, 7.6514, 7.6491, 7.6488, 7.649, 7.6489, 7.6497, 7.6476, 7.6476, 7.6476, 7.6473, 7.647, 7.6471, 7.6469, 7.651, 7.6528, 7.6529, 7.6526, 7.6526, 7.6504, 7.6484, 7.6479, 7.6477, 7.6475, 7.647, 7.6468, 7.6466, 7.6466, 7.6463, 7.6463, 7.6461, 7.6458, 7.6455, 7.6453, 7.6448, 7.6445, 7.6442, 7.6419, 7.6396, 7.6393, 7.6392, 7.639, 7.6387, 7.6364, 7.6346, 7.6342, 7.6341, 7.6338, 7.6335, 7.6334, 7.6333, 7.6335, 7.6325, 7.6343, 7.6341, 7.634, 7.6335, 7.6335, 7.6316, 7.6297, 7.6307, 7.6317, 7.6317, 7.6296, 7.6275, 7.6265, 7.6267, 7.6275, 7.632, 7.6319, 7.6318, 7.6312, 7.6317, 7.6294, 7.6293, 7.6292, 7.6289, 7.6319, 7.6318, 7.6317, 7.633, 7.634, 7.6338, 7.6335, 7.6336, 7.6335, 7.6334, 7.635, 7.6345, 7.634, 7.6336, 7.6335, 7.6335, 7.6336, 7.6334, 7.6329, 7.6328, 7.6327, 7.6321, 7.6323, 7.6322, 7.6321, 7.632, 7.6316, 7.6315, 7.6313, 7.6311, 7.6309, 7.6308, 7.6307, 7.631, 7.6311, 7.6312, 7.6294, 7.6275, 7.6273, 7.6279, 7.6288, 7.629, 7.6289, 7.6285, 7.6285, 7.6281, 7.6282, 7.6283, 7.6281, 7.6279, 7.6279, 7.6275, 7.6255, 7.6261, 7.6261, 7.6261, 7.626, 7.6277, 7.6277, 7.6276, 7.6276, 7.6275, 7.6279, 7.6278, 7.6274, 7.6273, 7.6272, 7.6272, 7.6274, 7.6273, 7.6275, 7.6274, 7.6273, 7.6269, 7.625, 7.6249, 7.6248, 7.6244, 7.6243, 7.6242, 7.6241, 7.624, 7.6239, 7.6241, 7.6237, 7.6236, 7.6232, 7.6231, 7.6227, 7.6226, 7.6224, 7.6223, 7.6222, 7.6202, 7.6242, 7.6256, 7.6251, 7.6248, 7.6247, 7.6244, 7.6244, 7.6244, 7.6241, 7.6238, 7.6235, 7.6216, 7.6196, 7.6196, 7.6193, 7.6174, 7.6172, 7.6168, 7.615, 7.6147, 7.6147, 7.6129, 7.6108, 7.6107, 7.6107, 7.6103, 7.6103, 7.6099, 7.6099, 7.6101, 7.6103, 7.6085, 7.6065, 7.6064, 7.606, 7.6064, 7.6075, 7.6073, 7.6069, 7.6069, 7.6178, 7.6215, 7.62, 7.6196, 7.6176, 7.6154, 7.6151, 7.6179, 7.6176, 7.6179, 7.6159, 7.6156, 7.6153, 7.6136, 7.6143, 7.6125, 7.6113, 7.611, 7.6125, 7.6149, 7.6149, 7.6148, 7.6145, 7.6185, 7.6184, 7.6181, 7.6184, 7.618, 7.6176, 7.617, 7.6169, 7.6167, 7.6165, 7.6163, 7.616, 7.6166, 7.6146, 7.6142, 7.6127, 7.6125, 7.6138, 7.6139, 7.6151, 7.6179, 7.6206, 7.6188, 7.6187, 7.6207, 7.622, 7.6219, 7.6239, 7.6233, 7.6231, 7.6229, 7.6305, 7.6303, 7.6303, 7.6302, 7.63, 7.6298, 7.6298, 7.6279, 7.626, 7.626, 7.6258, 7.6267, 7.6266, 7.6266, 7.6264, 7.6264, 7.6264, 7.6266, 7.6278, 7.6283, 7.6264, 7.6262, 7.6242, 7.6255, 7.6258, 7.6268, 7.6267, 7.6248, 7.6228, 7.6209, 7.6204, 7.6203, 7.6184, 7.6184, 7.6184, 7.6164, 7.6164, 7.6164, 7.6162, 7.616, 7.6147, 7.6132, 7.613, 7.6129, 7.6138, 7.6139, 7.6137, 7.6118, 7.6099, 7.6095, 7.6078, 7.606, 7.6058, 7.6054, 7.6059, 7.604, 7.605, 7.606000000000001, 7.607000000000001, 7.607, 7.607, 7.6052, 7.6052, 7.6048, 7.603, 7.6029, 7.6029, 7.6029, 7.6027, 7.6025, 7.6023, 7.6021, 7.6021, 7.6025, 7.6046, 7.6045, 7.6035, 7.6018, 7.6, 7.601, 7.602, 7.603000000000001, 7.6029, 7.6022, 7.6002, 7.6006, 7.6005, 7.6004, 7.6005, 7.6007, 7.6008, 7.6007, 7.6006, 7.6005, 7.601500000000001, 7.6014, 7.6014, 7.6015, 7.6017, 7.6016, 7.6015, 7.6025, 7.6031, 7.6034, 7.6031, 7.603, 7.6032, 7.603, 7.6028, 7.6027, 7.6028, 7.604, 7.6042, 7.6044, 7.6044, 7.6044, 7.6046, 7.6047, 7.6043, 7.6044, 7.6045, 7.6042, 7.6043, 7.6027, 7.601, 7.6006, 7.6006, 7.6007, 7.6017, 7.6027000000000005, 7.6008, 7.599, 7.597, 7.5988, 7.599, 7.5989, 7.5992, 7.5988, 7.5988, 7.597, 7.597, 7.597, 7.597, 7.5969, 7.5972, 7.5983, 7.5974, 7.5973, 7.5972, 7.5978, 7.5977, 7.5979, 7.5993, 7.6002, 7.6, 7.6004, 7.6003, 7.6002, 7.6005, 7.6008, 7.601, 7.601, 7.6009, 7.6009, 7.601, 7.6006, 7.6007, 7.6005, 7.6008, 7.601, 7.6012, 7.6008, 7.6004, 7.6003, 7.6002, 7.6, 7.5998, 7.6013, 7.5999, 7.614, 7.6121, 7.6105, 7.6105, 7.6109, 7.6117, 7.6099, 7.6083, 7.6089, 7.6106, 7.6122, 7.6105, 7.6088, 7.6086, 7.6085, 7.6067, 7.6049, 7.6048, 7.6047, 7.603, 7.6013, 7.6011, 7.5995, 7.5992, 7.5975, 7.5975, 7.5964, 7.5948, 7.5954, 7.5964, 7.5974, 7.5972, 7.5975, 7.5975, 7.5956, 7.596, 7.5958, 7.5956, 7.5959, 7.5957, 7.5958, 7.5942, 7.5924, 7.5923, 7.5919, 7.592, 7.5944, 7.5927, 7.5926, 7.5973, 7.5969, 7.5967, 7.5969, 7.595, 7.5932, 7.5947, 7.5945, 7.5974, 7.5972, 7.5971, 7.5972, 7.6014, 7.6014, 7.5997, 7.5995, 7.5993, 7.599, 7.5971, 7.5971, 7.5969, 7.5968, 7.5967, 7.5966, 7.5968, 7.5969, 7.5968, 7.5967, 7.5966, 7.5963, 7.596, 7.597, 7.598000000000001, 7.5979, 7.5961, 7.5962, 7.5945, 7.5944, 7.5943, 7.5942, 7.5942, 7.594, 7.5923, 7.592, 7.5903, 7.5902, 7.5901, 7.5911, 7.591, 7.5909, 7.5908, 7.5892, 7.5877, 7.5862, 7.5866, 7.5864, 7.5863, 7.5862, 7.5861, 7.5858, 7.5862, 7.5846, 7.5855, 7.5855, 7.5854, 7.5835, 7.5819, 7.5818, 7.5815, 7.5823, 7.5828, 7.5843, 7.5836, 7.5833, 7.5832, 7.5829, 7.581, 7.5809, 7.5844, 7.5841, 7.584, 7.5823, 7.5823, 7.5825, 7.5809, 7.5809, 7.5812, 7.5809, 7.5902, 7.5888, 7.5869, 7.5852, 7.5857, 7.5854, 7.5847, 7.583, 7.5827, 7.5828, 7.5885, 7.5869, 7.5866, 7.5874, 7.5872, 7.5853, 7.5852, 7.5852, 7.5852, 7.585, 7.5848, 7.5844, 7.5843, 7.5842, 7.5843, 7.584, 7.5838, 7.5821, 7.5804, 7.5788, 7.5788, 7.5785, 7.5789, 7.5789, 7.5788, 7.5789, 7.5788, 7.5798000000000005, 7.580800000000001, 7.5834, 7.5832, 7.5815, 7.5799, 7.5781, 7.578, 7.5763, 7.5763, 7.5763, 7.5762, 7.5763, 7.5746, 7.5744, 7.577, 7.5753, 7.5738, 7.5741, 7.5742, 7.5732, 7.5716, 7.5698, 7.5695, 7.5692, 7.5689, 7.5699000000000005, 7.5698, 7.5682, 7.5667, 7.5662, 7.5663, 7.5664, 7.5661, 7.5658, 7.5641, 7.5626, 7.5627, 7.5628, 7.5629, 7.5626, 7.5629, 7.5628, 7.5633, 7.5629, 7.5628, 7.5627, 7.562, 7.5618, 7.5619, 7.5617, 7.5616, 7.5617, 7.5615, 7.5598, 7.561, 7.5593, 7.5594, 7.5592, 7.559, 7.5591, 7.5587, 7.5574, 7.5559, 7.5559, 7.5557, 7.5554, 7.5554, 7.5551, 7.5552, 7.5551, 7.555, 7.555, 7.5563, 7.556, 7.5561, 7.5558, 7.5555, 7.5554, 7.5551, 7.5553, 7.5555, 7.5554, 7.5554, 7.5553, 7.5558, 7.5561, 7.5561, 7.5561, 7.5562, 7.5562, 7.5562, 7.5562, 7.5559, 7.5558, 7.5558, 7.5561, 7.556, 7.5557, 7.5554, 7.5554, 7.5551, 7.5551, 7.555, 7.5549, 7.5548, 7.5547, 7.5546, 7.5545, 7.5544, 7.5543, 7.5542, 7.5542, 7.5532, 7.5517, 7.5517, 7.5517, 7.5518, 7.5516, 7.5516, 7.5514, 7.5512, 7.5518, 7.5519, 7.552, 7.5517, 7.552, 7.5519, 7.5517, 7.5515, 7.5514, 7.5511, 7.5508, 7.5508, 7.5517, 7.5501, 7.5486, 7.549600000000001, 7.5497, 7.5483, 7.547, 7.5469, 7.547, 7.5468, 7.5467, 7.5464, 7.5461, 7.5461, 7.5461, 7.5459, 7.5483, 7.5484, 7.5483, 7.5482, 7.5481, 7.5481, 7.5481, 7.5482, 7.5483, 7.5482, 7.5483, 7.5481, 7.5482, 7.5481, 7.5479, 7.5478, 7.5477, 7.5476, 7.5474, 7.5473, 7.5472, 7.547, 7.5469, 7.5468, 7.5467, 7.5469, 7.547, 7.546, 7.5441, 7.5443, 7.5442, 7.5441, 7.544, 7.5455, 7.5439, 7.5432, 7.5433, 7.5433, 7.5433, 7.5438, 7.5443, 7.5432, 7.5435, 7.5439, 7.5438, 7.5448, 7.5448, 7.5448, 7.5432, 7.5418, 7.5417, 7.5416, 7.5414, 7.5416, 7.5426, 7.5425, 7.5426, 7.541, 7.5397, 7.5398, 7.5467, 7.5453, 7.5451, 7.5452, 7.545, 7.5451, 7.5452, 7.5453, 7.545, 7.5451, 7.5452, 7.5454, 7.5455, 7.5456, 7.5457, 7.5454, 7.5439, 7.5423, 7.5445, 7.5451, 7.5447, 7.5434, 7.5432, 7.543, 7.5431, 7.5429, 7.5428, 7.5427, 7.5437, 7.5436, 7.5435, 7.542, 7.5405, 7.5406, 7.5406, 7.5406, 7.5406, 7.5407, 7.5408, 7.5408, 7.542, 7.5418, 7.5419, 7.542, 7.5418, 7.5416, 7.54, 7.5399, 7.5397, 7.5398, 7.5399, 7.54, 7.5398, 7.5398, 7.5398, 7.5398, 7.5399, 7.54, 7.5402, 7.5402, 7.5402, 7.5402, 7.5403, 7.5401, 7.5404, 7.5405, 7.5419, 7.5419, 7.5417, 7.5418, 7.5403, 7.5391, 7.5392, 7.539, 7.5391, 7.5389, 7.5387, 7.5388, 7.5387, 7.5388, 7.5385, 7.5382, 7.5379, 7.5379, 7.5379, 7.5377, 7.5377, 7.5362, 7.5347, 7.5369, 7.5369, 7.5373, 7.5374, 7.5377, 7.5404, 7.5388, 7.539, 7.5387, 7.5387, 7.5387, 7.5387, 7.5389, 7.5391, 7.5391, 7.5391, 7.539, 7.54, 7.541, 7.5408, 7.5407, 7.5393, 7.5377, 7.5379, 7.5379, 7.5364, 7.535, 7.5352, 7.5336, 7.5348, 7.5332, 7.5342, 7.535200000000001, 7.5353, 7.5338, 7.5326, 7.5314, 7.5311, 7.5297, 7.5285, 7.527, 7.5268, 7.5267, 7.5267, 7.5267, 7.5264, 7.5295, 7.5283, 7.5269, 7.5254, 7.5265, 7.5251, 7.5266, 7.5267, 7.5252, 7.5254, 7.525, 7.5249, 7.5248, 7.5247, 7.5258, 7.5243, 7.5242, 7.5261, 7.528, 7.5266, 7.5273, 7.526, 7.5282, 7.5276, 7.5263, 7.5263, 7.5286, 7.5298, 7.5296, 7.5297, 7.5307, 7.5303, 7.5301, 7.5309, 7.5295, 7.5293, 7.5291, 7.529, 7.5288, 7.5289, 7.5287, 7.5273, 7.5259, 7.5255, 7.5256, 7.524, 7.5259, 7.5269, 7.527900000000001, 7.5279, 7.5283, 7.527, 7.527, 7.5294, 7.6114, 7.623, 7.6235, 7.6233, 7.6232, 7.623, 7.6227, 7.6225, 7.6259, 7.6257, 7.6256, 7.6254, 7.6254, 7.6252, 7.6251, 7.6249, 7.625, 7.6248, 7.6249, 7.6252, 7.625, 7.6248, 7.6248, 7.6248, 7.6306, 7.6313, 7.6323, 7.6327, 7.6311, 7.6331, 7.6327, 7.6311, 7.6316, 7.6314, 7.6313, 7.6315, 7.6316, 7.6302, 7.6301, 7.6286, 7.6286, 7.6288, 7.6273, 7.6274, 7.6274, 7.628, 7.6285, 7.6285, 7.6282, 7.6282, 7.6279, 7.6276, 7.6281, 7.6283, 7.628, 7.628, 7.628, 7.628, 7.6276, 7.6274, 7.6271, 7.627, 7.6276, 7.6261, 7.6258, 7.6255, 7.6256, 7.6255, 7.6252, 7.6251, 7.625, 7.6251, 7.6249, 7.6247, 7.6245, 7.6243, 7.624, 7.6238, 7.6236, 7.6234, 7.623, 7.6226, 7.6225, 7.6223, 7.6222, 7.622, 7.6255, 7.6241, 7.6225, 7.6224, 7.621, 7.6208, 7.6208, 7.6206, 7.6277, 7.6266, 7.6251, 7.625, 7.6249, 7.6238, 7.6222, 7.6221, 7.6208, 7.6208, 7.6205, 7.6216, 7.6215, 7.6215, 7.6218, 7.6221, 7.6219, 7.6217, 7.6207, 7.6206, 7.6205, 7.6202, 7.6202, 7.6198, 7.62, 7.6199, 7.6201, 7.62, 7.6202, 7.62, 7.6198, 7.6196, 7.6181, 7.6182, 7.6182, 7.6191, 7.6177, 7.6177, 7.6175, 7.6173, 7.6173, 7.6171, 7.6169, 7.6169, 7.6169, 7.6165, 7.6165, 7.6172, 7.6176, 7.6176, 7.6172, 7.6159, 7.6157, 7.6157, 7.6157, 7.6144, 7.6129, 7.6127, 7.6127, 7.6128, 7.6127, 7.6128, 7.6166, 7.6178, 7.6163, 7.6148, 7.6146, 7.6149, 7.6136, 7.6145, 7.6143, 7.6134, 7.6118, 7.6117, 7.6118, 7.6116, 7.6114, 7.6115, 7.6113, 7.6113, 7.611, 7.611, 7.6107, 7.6107, 7.6107, 7.6107, 7.6105, 7.6104, 7.6106, 7.6097, 7.6097, 7.6097, 7.6095, 7.6098, 7.6097, 7.6097, 7.6097, 7.6095, 7.6095, 7.6105, 7.6105, 7.6106, 7.6106, 7.6106, 7.6102, 7.6104, 7.6102, 7.6101, 7.6099, 7.6101, 7.6101, 7.61, 7.6101, 7.6101, 7.61, 7.61, 7.61, 7.6101, 7.6106, 7.6107, 7.6092, 7.6079, 7.6077, 7.6083, 7.6083, 7.6081, 7.6082, 7.608, 7.6078, 7.6076, 7.6079, 7.6077, 7.6062, 7.6048, 7.6047, 7.6045, 7.6044, 7.6042, 7.6041, 7.604, 7.6041, 7.6042, 7.6028, 7.6325, 7.6325, 7.6338, 7.6357, 7.6368, 7.6381, 7.6381, 7.6367, 7.6368, 7.6354, 7.634, 7.6389, 7.6376, 7.6377, 7.6382, 7.6381, 7.6392, 7.6392, 7.639, 7.6389, 7.6389, 7.6386, 7.6384, 7.6383, 7.6382, 7.6381, 7.6396, 7.6392, 7.6408, 7.6408, 7.641, 7.6409, 7.6396, 7.6404, 7.6513, 7.6501, 7.6487, 7.6486, 7.6501, 7.65, 7.6497, 7.6497, 7.6499, 7.6501, 7.6499, 7.6524, 7.6523, 7.651, 7.6501, 7.6519, 7.6517, 7.6514, 7.6514, 7.6517, 7.6521, 7.6523, 7.6518, 7.6518, 7.6518, 7.6534, 7.6532, 7.6532, 7.653, 7.6528, 7.6528, 7.6528, 7.6528, 7.6528, 7.6527, 7.6526, 7.6524, 7.6523, 7.6523, 7.6523, 7.6516, 7.6515, 7.6513, 7.6499, 7.6484, 7.6495, 7.6483, 7.6474, 7.6462, 7.646, 7.6459, 7.6459, 7.6459, 7.6459, 7.6458, 7.6458, 7.6457, 7.6457, 7.6457, 7.6461, 7.6448, 7.6451, 7.6451, 7.6449, 7.6434, 7.6438, 7.6437, 7.6449, 7.6447, 7.6447, 7.6447, 7.6435, 7.6449, 7.6449, 7.6449, 7.6449, 7.6436, 7.644, 7.6451, 7.6448, 7.6448, 7.6445, 7.6446, 7.6443, 7.6443, 7.6443, 7.6443, 7.644, 7.6427, 7.6414, 7.6413, 7.6413, 7.6413, 7.6413, 7.6413, 7.6401, 7.6399, 7.6398, 7.6397, 7.6396, 7.6395, 7.6394, 7.6393, 7.6393, 7.6392, 7.6392, 7.6394, 7.6396, 7.6396, 7.6396, 7.6395, 7.6395, 7.6395, 7.6395, 7.6404, 7.6391, 7.6378, 7.6378, 7.6375, 7.6375, 7.6375, 7.6375, 7.6375, 7.6374, 7.6359, 7.6345, 7.6344, 7.6343, 7.6345, 7.6343, 7.6329, 7.6368, 7.6367, 7.6366, 7.6366, 7.6364, 7.6362, 7.636, 7.6358, 7.6358, 7.6356, 7.6354, 7.6352, 7.6352, 7.635, 7.6348, 7.6346, 7.6346, 7.6347, 7.6345, 7.6342, 7.6392, 7.639, 7.6389, 7.6378, 7.6378, 7.6377, 7.6377, 7.6377, 7.6379, 7.6379, 7.6377, 7.6377, 7.6373, 7.6373, 7.6373, 7.6372, 7.6372, 7.6363, 7.6349, 7.6352, 7.6355, 7.6356, 7.6356, 7.6356, 7.6354, 7.6354, 7.6354, 7.6354, 7.6354, 7.6352, 7.6354, 7.6353, 7.6341, 7.6327, 7.6318, 7.6316, 7.6303, 7.6312, 7.6313, 7.6313, 7.6298, 7.6283, 7.6281, 7.6279, 7.6266, 7.627, 7.6271, 7.6272, 7.6258, 7.6244, 7.6242, 7.6242, 7.6274, 7.6275, 7.6273, 7.6273, 7.6271, 7.627, 7.6269, 7.6269, 7.6256, 7.6242, 7.624, 7.624, 7.624, 7.6238, 7.6237, 7.6236, 7.6233, 7.6232, 7.6234, 7.6232, 7.6231, 7.6231, 7.6229, 7.6228, 7.6226, 7.6224, 7.6222, 7.6221, 7.6221, 7.6221, 7.6221, 7.6221, 7.6221, 7.6212, 7.6209, 7.6209, 7.6209, 7.6209, 7.6209, 7.6207, 7.6197, 7.6184, 7.6184, 7.6184, 7.6183, 7.6184, 7.6184, 7.6181, 7.6181, 7.618, 7.6179, 7.6207, 7.6208, 7.6207, 7.6208, 7.6308, 7.6295, 7.6282, 7.6269, 7.6268, 7.6266, 7.6267, 7.6266, 7.6265, 7.6264, 7.6262, 7.626, 7.6258, 7.6255, 7.6243, 7.6229, 7.6217, 7.6216, 7.6214, 7.6213, 7.6212, 7.6209, 7.6195, 7.6181, 7.6171, 7.6168, 7.6166, 7.6164, 7.6152, 7.6162, 7.6161, 7.6159, 7.6157, 7.6202, 7.6188, 7.6186, 7.6174, 7.616, 7.6159, 7.6158, 7.6157, 7.6156, 7.6156, 7.6154, 7.6153, 7.6152, 7.6153, 7.6151, 7.615, 7.6159, 7.6157, 7.6156, 7.6153, 7.6152, 7.6151, 7.6152, 7.6152, 7.6154, 7.6153, 7.6152, 7.6151, 7.6148, 7.6148, 7.6147, 7.6146, 7.6145, 7.6146, 7.6145, 7.6155, 7.6142, 7.6147, 7.6144, 7.6208, 7.6369, 7.6433, 7.6434, 7.6432, 7.6419, 7.6419, 7.6419, 7.6417, 7.6404, 7.6392, 7.6406, 7.6404, 7.6403, 7.6393, 7.638, 7.6379, 7.6377, 7.6375, 7.6361, 7.6349, 7.6348, 7.6349, 7.6351, 7.6338, 7.6326, 7.6324, 7.6324, 7.6323, 7.6322, 7.632, 7.6319, 7.6319, 7.6317, 7.6315, 7.6312, 7.6311, 7.6309, 7.6308, 7.6306, 7.6304, 7.6291, 7.6278, 7.6266, 7.6264, 7.6263, 7.6269, 7.6255, 7.6255, 7.6252, 7.6255, 7.6242, 7.6241, 7.624, 7.6238, 7.6236, 7.6235, 7.6233, 7.6233, 7.6232, 7.6231, 7.623, 7.623, 7.6229, 7.6228, 7.6216, 7.6215, 7.6214, 7.6212, 7.6215, 7.6226, 7.6226, 7.6226, 7.6229, 7.6228, 7.6217, 7.6215, 7.6213, 7.62, 7.6199, 7.6198, 7.6196, 7.6193, 7.6193, 7.6192, 7.6192, 7.6191, 7.6188, 7.6187, 7.6186, 7.6185, 7.6184, 7.6186, 7.6185, 7.6184, 7.6184, 7.6183, 7.6198, 7.6198, 7.6199, 7.6198, 7.6196, 7.6194, 7.6192, 7.6191, 7.6191, 7.619, 7.6187, 7.6186, 7.6183, 7.6184, 7.6184, 7.6185, 7.6195, 7.6194, 7.6193, 7.6193, 7.6193, 7.619, 7.6189, 7.6186, 7.6193, 7.6194, 7.6193, 7.6189, 7.6185, 7.6188, 7.6193, 7.6191, 7.619, 7.6188, 7.6207, 7.6206, 7.6206, 7.6205, 7.6206, 7.6209, 7.6209, 7.6198, 7.6201, 7.6193, 7.6183, 7.6192, 7.618, 7.6179, 7.6177, 7.6178, 7.618, 7.6181, 7.6182, 7.6181, 7.618, 7.6194, 7.6195, 7.6195, 7.6204, 7.6205, 7.6206, 7.6206, 7.6207, 7.6205, 7.6193, 7.6181, 7.6188, 7.6185, 7.6184, 7.6188, 7.6188, 7.6187, 7.6186, 7.6185, 7.6184, 7.6183, 7.6187, 7.6197, 7.6203, 7.6202, 7.6201, 7.62, 7.6199, 7.6187, 7.6187, 7.6185, 7.6184, 7.6183, 7.6182, 7.6184, 7.6184, 7.6185, 7.6184, 7.6183, 7.6184, 7.6188, 7.6192, 7.6179, 7.6223, 7.6223, 7.6231, 7.6224, 7.6212, 7.6219, 7.6216, 7.6226, 7.6225, 7.6226, 7.6224, 7.6222, 7.6243, 7.6242, 7.6246, 7.625, 7.625, 7.625, 7.6249, 7.6246, 7.6247, 7.6249, 7.6248, 7.6249, 7.6248, 7.6247, 7.6248, 7.6245, 7.6244, 7.6241, 7.6241, 7.6234, 7.6222, 7.6222, 7.6222, 7.622, 7.622, 7.622, 7.622, 7.6219, 7.6217, 7.6215, 7.6215, 7.6213, 7.6211, 7.6209, 7.6207, 7.6206, 7.6206, 7.6205, 7.6211, 7.6228, 7.6225, 7.6225, 7.6212, 7.6212, 7.621, 7.6208, 7.621, 7.6208, 7.6206, 7.6206, 7.6208, 7.6207, 7.6209, 7.6209, 7.6207, 7.6208, 7.6206, 7.6206, 7.6197, 7.6196, 7.6184, 7.6182, 7.6183, 7.6205, 7.6205, 7.6204, 7.6244, 7.6244, 7.6255, 7.6254, 7.6252, 7.6253, 7.6345, 7.6333, 7.6321, 7.6322, 7.6321, 7.6321, 7.6324, 7.6323, 7.6322, 7.6322, 7.6321, 7.6322, 7.6322, 7.6319, 7.6306, 7.6295, 7.6295, 7.6296, 7.6285, 7.6273, 7.6273, 7.6272, 7.6272, 7.6271, 7.627, 7.627, 7.6267, 7.6264, 7.6263, 7.6262, 7.6261, 7.6261, 7.626, 7.6262, 7.6263, 7.6264, 7.6264, 7.6264, 7.6262, 7.626, 7.6258, 7.6256, 7.6244, 7.6242, 7.624, 7.6239, 7.6237, 7.6233, 7.6235, 7.6233, 7.6231, 7.6231, 7.6231, 7.6231, 7.6233, 7.6231, 7.6236, 7.6226, 7.6226, 7.6224, 7.6228, 7.6228, 7.6228, 7.6229, 7.6227, 7.6226, 7.6225, 7.6223, 7.6224, 7.6224, 7.6224, 7.6224, 7.6224, 7.6224, 7.6224, 7.6224, 7.6224, 7.6222, 7.6223, 7.6222, 7.6221, 7.6221, 7.6222, 7.623, 7.6229, 7.6231, 7.623, 7.6231, 7.623, 7.6229, 7.6228, 7.6227, 7.6226, 7.6227, 7.6226, 7.6216, 7.6215, 7.6217, 7.6217, 7.6215, 7.6213, 7.6214, 7.6212, 7.621, 7.621, 7.6208, 7.6208, 7.6209, 7.6215, 7.6217, 7.6217, 7.6214, 7.6216, 7.6214, 7.6212, 7.621, 7.6198, 7.6197, 7.6217, 7.6219, 7.6218, 7.6218, 7.6217, 7.6216, 7.6216, 7.6213, 7.6201, 7.6191, 7.619, 7.6189, 7.6186, 7.6186, 7.6175, 7.6162, 7.6161, 7.616, 7.6174, 7.6174, 7.6173, 7.6173, 7.6173, 7.6172, 7.6172, 7.6172, 7.6174, 7.6173, 7.6163, 7.6162, 7.6161, 7.616, 7.6159, 7.6157, 7.6156, 7.6154, 7.6152, 7.6152, 7.6152, 7.6152, 7.615, 7.615, 7.6152, 7.6151, 7.615, 7.6147, 7.6145, 7.6133, 7.6134, 7.6131, 7.6131, 7.6128, 7.6129, 7.613, 7.613, 7.6131, 7.6132, 7.6132, 7.613, 7.6128, 7.6119, 7.6108, 7.6108, 7.6095, 7.6083, 7.6076, 7.6078, 7.6066, 7.6066, 7.6066, 7.6065, 7.6065, 7.6053, 7.6041, 7.604, 7.6041, 7.604, 7.6039, 7.6038, 7.6038, 7.6037, 7.6036, 7.6037, 7.6038, 7.6037, 7.6036, 7.6039, 7.6028, 7.6017, 7.6016, 7.6015, 7.6012, 7.6012, 7.6011, 7.601, 7.6011, 7.6011, 7.6012, 7.6011, 7.601, 7.601, 7.601, 7.5999, 7.6004, 7.6004, 7.6004, 7.6004, 7.6004, 7.6006, 7.6006, 7.6006, 7.6006, 7.601, 7.6015, 7.6017, 7.6016, 7.6015, 7.6017, 7.6016, 7.6015, 7.6014, 7.6013, 7.6012, 7.6011, 7.6012, 7.6013, 7.6013, 7.6016, 7.6015, 7.6014, 7.6013, 7.6013, 7.6013, 7.6138, 7.6139, 7.6138, 7.6138, 7.6137, 7.6134, 7.6132, 7.6137, 7.6342, 7.6382, 7.637, 7.6359, 7.6357, 7.6366, 7.6367, 7.6365, 7.6367, 7.6365, 7.6364, 7.6363, 7.6361, 7.6359, 7.6358, 7.6356, 7.6357, 7.6355, 7.6353, 7.6342, 7.6341, 7.6339, 7.6334, 7.6323, 7.6322, 7.633, 7.6329, 7.6318, 7.6326, 7.6325, 7.6365, 7.6363, 7.6362, 7.636, 7.6372, 7.6371, 7.637, 7.6367, 7.6366, 7.6365, 7.6363, 7.6361, 7.6357, 7.6355, 7.6357, 7.6356, 7.6362, 7.636, 7.6358, 7.6357, 7.635, 7.6351, 7.635, 7.6351, 7.6353, 7.6351, 7.6351, 7.6351, 7.6351, 7.6353, 7.6339, 7.6339, 7.6338, 7.6338, 7.6326, 7.6325, 7.6325, 7.6325, 7.6323, 7.6323, 7.6321, 7.6321, 7.6321, 7.6321, 7.6319, 7.6309, 7.6297, 7.6297, 7.6297, 7.6299, 7.6293, 7.6291, 7.6291, 7.6285, 7.6287, 7.6285, 7.6285, 7.6274, 7.6262, 7.6264, 7.6264, 7.6264, 7.6262, 7.626, 7.626, 7.6258, 7.6256, 7.6244, 7.6242, 7.6242, 7.6242, 7.6242, 7.6247, 7.6254, 7.6266, 7.6264, 7.6264, 7.6265, 7.6268, 7.6268, 7.6268, 7.6267, 7.6267, 7.6267, 7.6268, 7.6267, 7.6266, 7.6265, 7.6257, 7.6247, 7.6246, 7.6247, 7.6246, 7.6245, 7.6244, 7.6242, 7.6246, 7.6236, 7.6235, 7.6235, 7.6223, 7.6219, 7.6218, 7.6216, 7.6215, 7.6215, 7.6219, 7.6218, 7.6218, 7.6218, 7.6218, 7.6219, 7.6219, 7.6218, 7.6217, 7.6214, 7.6214, 7.6204, 7.6203, 7.6203, 7.6203, 7.6203, 7.6203, 7.6203, 7.62, 7.6189, 7.6178, 7.6177, 7.6174, 7.6174, 7.6173, 7.6172, 7.6161, 7.616, 7.6159, 7.6159, 7.6158, 7.6159, 7.616, 7.6157, 7.6155, 7.6155, 7.6155, 7.6201, 7.6201, 7.62, 7.62, 7.6199, 7.6198, 7.6196, 7.6195, 7.6195, 7.6194, 7.6194, 7.6193, 7.6193, 7.6191, 7.6191, 7.6191, 7.6179, 7.6168, 7.6166, 7.6166, 7.6174, 7.6163, 7.6162, 7.6162, 7.6162, 7.6161, 7.6162, 7.6151, 7.6144, 7.6144, 7.6143, 7.6142, 7.6141, 7.6141, 7.6139, 7.6139, 7.6139, 7.6137, 7.6135, 7.6133, 7.6133, 7.6133, 7.6132, 7.6131, 7.613, 7.613, 7.613, 7.6118, 7.6108, 7.6106, 7.6095, 7.6096, 7.6096, 7.6096, 7.6096, 7.6096, 7.6084, 7.6092, 7.6092, 7.6091, 7.609, 7.6092, 7.6091, 7.609, 7.6087, 7.6086, 7.6086, 7.6085, 7.6073, 7.6063, 7.6063, 7.6053, 7.6043, 7.6042, 7.6044, 7.6053, 7.6043, 7.6042, 7.604, 7.6042, 7.6041, 7.604, 7.6039, 7.6065, 7.6066, 7.6054, 7.6054, 7.6053, 7.6053, 7.6052, 7.6052, 7.6055, 7.6056, 7.6054, 7.6053, 7.605, 7.605, 7.6049, 7.6048, 7.6047, 7.6046, 7.6044, 7.6044, 7.6046, 7.6044, 7.6043, 7.6041, 7.6039, 7.6037, 7.6036, 7.6038, 7.6038, 7.6037, 7.6033, 7.6034, 7.6033, 7.6031, 7.6032, 7.6021, 7.601, 7.5999, 7.5997, 7.6012, 7.6012, 7.601, 7.601, 7.601, 7.5999, 7.5988, 7.5993, 7.5991, 7.599, 7.5989, 7.5988, 7.5988, 7.5989, 7.599, 7.599, 7.599, 7.5992, 7.5994, 7.5995, 7.5994, 7.5993, 7.5994, 7.5995, 7.5996, 7.5994, 7.5994, 7.5998, 7.5988, 7.599, 7.599, 7.5988, 7.5978, 7.5968, 7.5968, 7.5968, 7.5967, 7.5969, 7.5967, 7.5966, 7.5966, 7.5965, 7.5965, 7.5965, 7.5965, 7.5976, 7.5966, 7.5969, 7.5969, 7.5968, 7.5966, 7.5966, 7.5966, 7.5955, 7.5955, 7.5956, 7.5957, 7.5956, 7.5955, 7.5943, 7.5932, 7.5922, 7.6335, 7.633, 7.6329, 7.6328, 7.6327, 7.6327, 7.6326, 7.6325, 7.6324, 7.6325, 7.6326, 7.6327, 7.6328, 7.6327, 7.6326, 7.6325, 7.6328, 7.6328, 7.6326, 7.6326, 7.6326, 7.6324, 7.6324, 7.6327, 7.6325, 7.6325, 7.6324, 7.6314, 7.6303, 7.6302, 7.6305, 7.6305, 7.6306, 7.6306, 7.6307, 7.6307, 7.6307, 7.6309, 7.631, 7.631, 7.6309, 7.6307, 7.6307, 7.6314, 7.6306, 7.6295, 7.6284, 7.6284, 7.6283, 7.6281, 7.628, 7.6269, 7.6268, 7.6266, 7.6265, 7.6264, 7.6263, 7.6262, 7.6258, 7.6248, 7.6247, 7.6246, 7.6245, 7.6244, 7.6244, 7.6243, 7.6246, 7.6245, 7.6244, 7.6242, 7.6246, 7.6245, 7.6245, 7.6244, 7.6242, 7.6243, 7.6242, 7.6231, 7.6221, 7.622, 7.6209, 7.6198, 7.6197, 7.6194, 7.6185, 7.6175, 7.6175, 7.6175, 7.6174, 7.6171, 7.6169, 7.6168, 7.6169, 7.616, 7.6159, 7.6164, 7.6164, 7.6165, 7.6165, 7.6171, 7.617, 7.6169, 7.6182, 7.6224, 7.6224, 7.6223, 7.6224, 7.6251, 7.6255, 7.627, 7.627, 7.6273, 7.6276, 7.6298, 7.6287, 7.6287, 7.6285, 7.6284, 7.6282, 7.6282, 7.628, 7.6279, 7.6277, 7.6276, 7.6274, 7.6273, 7.6272, 7.6269, 7.6267, 7.6268, 7.6268, 7.6267, 7.6266, 7.6265, 7.6263, 7.6252, 7.6242, 7.6243, 7.6243, 7.6241, 7.6232, 7.6235, 7.6226, 7.6226, 7.6226, 7.6227, 7.6228, 7.6223, 7.6212, 7.6212, 7.6211, 7.6211, 7.6211, 7.6211, 7.6213, 7.6213, 7.6203, 7.6203, 7.6201, 7.619, 7.6184, 7.6224, 7.6224, 7.6224, 7.6225, 7.6224, 7.6223, 7.6221, 7.622, 7.622, 7.6218, 7.6218, 7.6207, 7.6197, 7.6198, 7.6196, 7.6195, 7.6196, 7.6197, 7.6188, 7.618, 7.6179, 7.6169, 7.6169, 7.6171, 7.6171, 7.6172, 7.6175, 7.6173, 7.6172, 7.6176, 7.6177, 7.6178, 7.6177, 7.6177, 7.6175, 7.6175, 7.6166, 7.6165, 7.6164, 7.6166, 7.6165, 7.6165, 7.6164, 7.6167, 7.6156, 7.6164, 7.6169, 7.6167, 7.6215, 7.6214, 7.6215, 7.6214, 7.6214, 7.6215, 7.6215, 7.6208, 7.6212, 7.6211, 7.621, 7.621, 7.621, 7.6211, 7.621, 7.6209, 7.6209, 7.6209, 7.6206, 7.6206, 7.6215, 7.6214, 7.6214, 7.6205, 7.6205, 7.6204, 7.6204, 7.6205, 7.6195, 7.6194, 7.6193, 7.6196, 7.6196, 7.6195, 7.6185, 7.6176, 7.6175, 7.6174, 7.6174, 7.6164, 7.6155, 7.6154, 7.6153, 7.6152, 7.6151, 7.6152, 7.6151, 7.615, 7.6141, 7.6131, 7.6132, 7.6131, 7.6133, 7.6133, 7.6135, 7.6135, 7.6135, 7.6134, 7.6133, 7.6125, 7.6126, 7.6125, 7.6124, 7.6115, 7.6115, 7.6113, 7.6113, 7.6103, 7.6092, 7.609, 7.609, 7.6079, 7.608, 7.6079, 7.6069, 7.6073, 7.6072, 7.6071, 7.6069, 7.6059, 7.6049, 7.6041, 7.6031, 7.602, 7.6022, 7.6022, 7.6024, 7.6029, 7.6029, 7.6021, 7.6024, 7.6023, 7.6023, 7.6021, 7.602, 7.602, 7.602, 7.6018, 7.6018, 7.6017, 7.6023, 7.6023, 7.6013, 7.6002, 7.6, 7.6, 7.599, 7.5981, 7.5984, 7.5975, 7.5977, 7.5978, 7.5977, 7.5976, 7.5975, 7.5974, 7.5974, 7.5972, 7.5973, 7.5972, 7.5973, 7.5971, 7.597, 7.5969, 7.5968, 7.5968, 7.5969, 7.5972, 7.5963, 7.5966, 7.5957, 7.5957, 7.5965, 7.5965, 7.5967, 7.5966, 7.597, 7.5969, 7.5958, 7.5951, 7.595, 7.5948, 7.5948, 7.5947, 7.5956, 7.5946, 7.5947, 7.5952, 7.5958, 7.596, 7.5961, 7.596, 7.596, 7.5959, 7.596, 7.5968, 7.5977, 7.5976, 7.5975, 7.5974, 7.5973, 7.5972, 7.5971, 7.597, 7.5971, 7.597, 7.5977, 7.5967, 7.5957, 7.5958, 7.5956, 7.5946, 7.5936, 7.5936, 7.5936, 7.5936, 7.5937, 7.5935, 7.5936, 7.5937, 7.5937, 7.5936, 7.5935, 7.5933, 7.5932, 7.5923, 7.5915, 7.5915, 7.5914, 7.5903, 7.5911, 7.5914, 7.5913, 7.5913, 7.5914, 7.5913, 7.5913, 7.5912, 7.591, 7.59, 7.5901, 7.59, 7.59, 7.59, 7.5892, 7.5892, 7.5897, 7.5887, 7.5886, 7.5886, 7.5887, 7.5888, 7.5887, 7.5886, 7.5898, 7.5891, 7.5892, 7.5893, 7.5893, 7.5893, 7.5883, 7.5883, 7.5883, 7.5883, 7.5882, 7.5881, 7.5881, 7.5878, 7.5867, 7.5866, 7.5876, 7.588, 7.5881, 7.588, 7.5879, 7.5878, 7.5875, 7.5865, 7.5898, 7.5887, 7.589, 7.5889, 7.5887, 7.5886, 7.5885, 7.5884, 7.5883, 7.5884, 7.5884, 7.5885, 7.5885, 7.5884, 7.5884, 7.5883, 7.5882, 7.5881, 7.588, 7.588, 7.5879, 7.588, 7.5878, 7.5878, 7.5877, 7.5875, 7.5874, 7.5875, 7.5873, 7.5873, 7.5873, 7.5865, 7.5864, 7.5864, 7.5864, 7.5869, 7.5864, 7.5864, 7.5863, 7.5853, 7.585, 7.5848, 7.5838, 7.5827, 7.5827, 7.5828, 7.5827, 7.5827, 7.5826, 7.5825, 7.5826, 7.5826, 7.5824, 7.5824, 7.5824, 7.5824, 7.5822, 7.5822, 7.582, 7.5818, 7.5818, 7.5818, 7.5816, 7.5816, 7.5816, 7.5807, 7.5797, 7.5797, 7.5797, 7.5796, 7.5795, 7.5797, 7.5797, 7.58, 7.5792, 7.5792, 7.5791, 7.5792, 7.5792, 7.5792, 7.5792, 7.5806, 7.5808, 7.5805, 7.5808, 7.5812, 7.5813, 7.5812, 7.5803, 7.5802, 7.5801, 7.5801, 7.5801, 7.5809, 7.5818, 7.5817, 7.5816, 7.5816, 7.5816, 7.5815, 7.5807, 7.5809, 7.5808, 7.5808, 7.5808, 7.5807, 7.5806, 7.5805, 7.5804, 7.5803, 7.5803, 7.5803, 7.5803, 7.5804, 7.5804, 7.5804, 7.5804, 7.5804, 7.5803, 7.5805, 7.5804, 7.5803, 7.5793, 7.5783, 7.5772, 7.5771, 7.577, 7.576, 7.5773, 7.5772, 7.5771, 7.5761, 7.575, 7.5749, 7.5783, 7.5775, 7.5775, 7.5773, 7.5774, 7.5778, 7.5769, 7.577, 7.5771, 7.5771, 7.5771, 7.5771, 7.5771, 7.5771, 7.5771, 7.5771, 7.5773, 7.5773, 7.5773, 7.5773, 7.5772, 7.5772, 7.5771, 7.5771, 7.577, 7.5771, 7.577, 7.577, 7.577, 7.5771, 7.577, 7.5769, 7.5771, 7.5772, 7.5771, 7.5771, 7.577, 7.577, 7.5765, 7.5783, 7.5786, 7.5786, 7.5776, 7.5775, 7.5767, 7.5769, 7.5758, 7.5758, 7.5756, 7.5756, 7.5758, 7.5758, 7.576, 7.5758, 7.5757, 7.5758, 7.576, 7.5761, 7.5761, 7.5761, 7.5762, 7.5761, 7.5761, 7.576, 7.576, 7.576, 7.576, 7.576, 7.5761, 7.5762, 7.5761, 7.576, 7.576, 7.5759, 7.5759, 7.5758, 7.5757, 7.5747, 7.5748, 7.5749, 7.5748, 7.5747, 7.5746, 7.5746, 7.5746, 7.5744, 7.5743, 7.5742, 7.5742, 7.5743, 7.5742, 7.5741, 7.5742, 7.5741, 7.5741, 7.5741, 7.574, 7.5739, 7.5738, 7.5738, 7.5737, 7.5736, 7.5735, 7.5735, 7.5734, 7.5734, 7.5735, 7.5735, 7.5734, 7.5725, 7.5716, 7.573, 7.5729, 7.572, 7.5711, 7.5715, 7.5731, 7.573, 7.5729, 7.5728, 7.5727, 7.5727, 7.5727, 7.5727, 7.5726, 7.5725, 7.5727, 7.5727, 7.5727, 7.5726, 7.5726, 7.5726, 7.5725, 7.5725, 7.5723, 7.5721, 7.5721, 7.5719, 7.572, 7.5723, 7.5729, 7.5721, 7.5719, 7.5718, 7.5719, 7.5718, 7.5716, 7.5716, 7.5716, 7.5714, 7.5713, 7.5711, 7.5712, 7.5702, 7.5702, 7.57, 7.5699, 7.5689, 7.5693, 7.5693, 7.5692, 7.5699, 7.5696, 7.5696, 7.5695, 7.5695, 7.5695, 7.5694, 7.5693, 7.5692, 7.5692, 7.5691, 7.5691, 7.5691, 7.569, 7.5691, 7.569, 7.5681, 7.5671, 7.5671, 7.5678, 7.5677, 7.5676, 7.5674, 7.5679, 7.5679, 7.568, 7.5679, 7.5679, 7.568, 7.568, 7.5678, 7.5678, 7.5677, 7.5678, 7.5669, 7.5669, 7.567, 7.567, 7.5672, 7.5672, 7.5672, 7.5677, 7.5677, 7.5681, 7.5681, 7.5681, 7.5681, 7.5681, 7.5685, 7.5687, 7.5688, 7.5689, 7.568, 7.568, 7.568, 7.5678, 7.5691, 7.5689, 7.5687, 7.574, 7.574, 7.5732, 7.5731, 7.5722, 7.5713, 7.5713, 7.5713, 7.5705, 7.5697, 7.5704, 7.5702, 7.5705, 7.5705, 7.5703, 7.5702, 7.5701, 7.57, 7.5702, 7.5706, 7.5704, 7.5703, 7.5702, 7.5702, 7.5701, 7.5701, 7.57, 7.5693, 7.5692, 7.5692, 7.5691, 7.5689, 7.5687, 7.5694, 7.5693, 7.5692, 7.5691, 7.569, 7.569, 7.5689, 7.5688, 7.5687, 7.5686, 7.5685, 7.5676, 7.5673, 7.5672, 7.5671, 7.5671, 7.567, 7.567, 7.5668, 7.566, 7.5659, 7.5658, 7.5657, 7.5656, 7.5655, 7.5654, 7.5653, 7.5653, 7.5652, 7.5651, 7.565, 7.565, 7.5648, 7.5648, 7.5647, 7.5647, 7.5647, 7.5646, 7.5645, 7.5644, 7.5643, 7.5641, 7.5641, 7.564, 7.5639, 7.5638, 7.5637, 7.5637, 7.5637, 7.5635, 7.5634, 7.5634, 7.5634, 7.5634, 7.5634, 7.5633, 7.5633, 7.5632, 7.5632, 7.5632, 7.5631, 7.5632, 7.563, 7.5635, 7.5636, 7.5635, 7.5634, 7.5633, 7.5632, 7.5631, 7.5632, 7.5632, 7.5632, 7.5631, 7.5629, 7.5628, 7.5627, 7.5626, 7.5625, 7.5625, 7.5624, 7.5623, 7.5622, 7.5621, 7.562, 7.562, 7.5619, 7.5619, 7.5617, 7.5616, 7.5615, 7.5615, 7.5613, 7.5613, 7.5612, 7.561, 7.5609, 7.5608, 7.5608, 7.5608, 7.5607, 7.5607, 7.5606, 7.5605, 7.5605, 7.5604, 7.5603, 7.5603, 7.5604, 7.5603, 7.5601, 7.56, 7.5599, 7.5599, 7.5599, 7.5598, 7.5604, 7.5602, 7.5601, 7.5601, 7.5601, 7.5601, 7.5601, 7.56, 7.56, 7.56, 7.5599, 7.5599, 7.5599, 7.5603, 7.5604, 7.5604, 7.5603, 7.5603, 7.5602, 7.5602, 7.5601, 7.5601, 7.56, 7.5599, 7.56, 7.56, 7.5599, 7.5663, 7.5661, 7.566, 7.566, 7.5659, 7.5658, 7.5657, 7.5657, 7.5656, 7.5655, 7.5662, 7.5662, 7.5666, 7.5666, 7.5666, 7.5667, 7.5666, 7.5666, 7.5665, 7.5664, 7.5663, 7.5662, 7.5662, 7.5661, 7.5662, 7.5662, 7.5661, 7.5665, 7.5657, 7.5649, 7.5649, 7.5648, 7.5647, 7.5646, 7.5645, 7.5686, 7.5686, 7.5686, 7.5685, 7.5684, 7.5684, 7.5682, 7.5681, 7.5679, 7.5678, 7.5677, 7.5675, 7.5674, 7.5673, 7.5681, 7.5681, 7.5681, 7.5682, 7.5681, 7.5682, 7.5681, 7.568, 7.568, 7.568, 7.568, 7.568, 7.5678, 7.5678, 7.5685, 7.5685, 7.5683, 7.5683, 7.5683, 7.5688, 7.569, 7.5692, 7.5691, 7.5692, 7.5692, 7.5692, 7.5692, 7.5692, 7.5691, 7.5691, 7.5692, 7.5692, 7.5692, 7.5692, 7.5692, 7.5692, 7.5692, 7.5692, 7.569, 7.569, 7.569, 7.5688, 7.5688, 7.5688, 7.5686, 7.5686, 7.5686, 7.5686, 7.5686, 7.5686, 7.5686, 7.5686, 7.5698, 7.5699, 7.5711, 7.5716, 7.5708, 7.5706, 7.5705, 7.5705, 7.5705, 7.5705, 7.5704, 7.5703, 7.5702, 7.57, 7.5699, 7.5698, 7.5699, 7.5698, 7.5697, 7.5696, 7.5695, 7.5695, 7.5695, 7.5694, 7.5694, 7.5693, 7.5692, 7.5693, 7.5692, 7.5691, 7.569, 7.5689, 7.5689, 7.5688, 7.5687, 7.5687, 7.5687, 7.5687, 7.5687, 7.5686, 7.5686, 7.5686, 7.5685, 7.5685, 7.5685, 7.5684, 7.5683, 7.5682, 7.5684, 7.5684, 7.5684, 7.5683, 7.5684, 7.5684, 7.5683, 7.5682, 7.5704, 7.5703, 7.5702, 7.5702, 7.5702, 7.5707, 7.5713, 7.5713, 7.5711, 7.5711, 7.5711, 7.5711, 7.5709, 7.5707, 7.5707, 7.5706, 7.5705, 7.5705, 7.5703, 7.5703, 7.5702, 7.5725, 7.5724, 7.5736, 7.5734, 7.5733, 7.5732, 7.5731, 7.5729, 7.5729, 7.5731, 7.5732, 7.5732, 7.5731, 7.5731, 7.573, 7.5729, 7.5728, 7.5727, 7.5728, 7.5728, 7.5728, 7.5727, 7.5728, 7.5727, 7.5726, 7.5725, 7.5725, 7.5724, 7.5722, 7.5723, 7.5722, 7.5725, 7.5725, 7.5724, 7.5723, 7.5724, 7.5723, 7.5722, 7.5721, 7.572, 7.5718, 7.5717, 7.5716, 7.5715, 7.5714, 7.5713, 7.5711, 7.571, 7.5709, 7.5708, 7.5708, 7.571, 7.571, 7.571, 7.5709, 7.5708, 7.5707, 7.5707, 7.5706, 7.5713, 7.5713, 7.5711, 7.5711, 7.5722, 7.5722, 7.5722, 7.5722, 7.572, 7.5718, 7.5718, 7.5722, 7.5756, 7.5755, 7.5754, 7.5753, 7.5752, 7.5751, 7.575, 7.575, 7.575, 7.5749, 7.5748, 7.5747, 7.5751, 7.575, 7.575, 7.575, 7.5751, 7.575, 7.575, 7.5749, 7.5748, 7.5748, 7.5748, 7.5747, 7.5746, 7.5744, 7.5744, 7.5744, 7.5743, 7.5743, 7.5743, 7.5743, 7.5743, 7.5743, 7.5741, 7.574, 7.5739, 7.5738, 7.5737, 7.5737, 7.5737, 7.5737, 7.5736, 7.5735, 7.5734, 7.5734, 7.5734, 7.5734, 7.5733, 7.5735, 7.5735, 7.5735, 7.5735, 7.5739, 7.5743, 7.5743, 7.5742, 7.574, 7.5739, 7.5739, 7.5739, 7.5738, 7.5738, 7.5738, 7.5738, 7.5737, 7.5737, 7.5735, 7.5734, 7.5734, 7.5734, 7.5734, 7.5733, 7.5733, 7.5733, 7.5733, 7.5733, 7.5733, 7.5733, 7.5733, 7.5733, 7.5733, 7.5732, 7.5731, 7.573, 7.5729, 7.573, 7.5729, 7.5736, 7.5734, 7.5733, 7.5732, 7.5731, 7.5732, 7.5731, 7.5731, 7.5731, 7.5732, 7.5732, 7.5731, 7.5731, 7.573, 7.573, 7.5728, 7.5729, 7.5729, 7.5727, 7.5726, 7.5727, 7.5726, 7.5727, 7.5728, 7.5727, 7.5725, 7.5724, 7.5725, 7.5724, 7.5731, 7.573, 7.5729, 7.5747, 7.5746, 7.5745, 7.5746, 7.5747, 7.5748, 7.5747, 7.5746, 7.5746, 7.5747, 7.5748, 7.5747, 7.5746, 7.5745, 7.5744, 7.5743, 7.5742, 7.5741, 7.574, 7.5739, 7.5745, 7.5743, 7.5742, 7.5741, 7.574, 7.5739, 7.5738, 7.5737, 7.5737, 7.5898, 7.5905, 7.5928, 7.5936], '192.168.122.112': [6.8653, 6.8896, 7.0748, 7.1565, 7.0872, 6.966, 7.0559, 7.0174, 7.0691, 7.1216, 7.1611, 7.1893, 7.1558, 9.4565, 9.9292, 25.6002, 25.6755, 24.7128, 23.8025, 22.9458, 22.2122, 21.5244, 20.8754, 20.3002, 19.7957, 19.3286, 18.874, 18.4549, 18.0866, 17.702, 17.3634, 17.0636, 16.7628, 16.4797, 16.2312, 15.9631, 15.729, 15.4894, 15.3578, 15.1286, 14.9297, 14.7479, 14.5632, 14.4048, 14.2248, 14.0649, 13.8956, 13.7785, 13.646, 13.52, 13.3806, 13.2643, 13.1336, 13.1787, 13.162, 12.9897, 12.8071, 12.7163, 12.7375, 12.6525, 12.4797, 12.3106, 12.2105, 12.0666, 11.9052, 11.8421, 11.7701, 11.6956, 11.5503, 11.4909, 11.4798, 11.4225, 11.3589, 11.297, 11.2167, 11.1576, 11.0346, 10.9912, 10.8821, 10.7574, 10.7091, 10.6031, 10.5906, 10.5436, 10.4935, 10.4478, 10.3436, 10.3388, 10.3069, 10.2878, 10.2517, 10.1621, 10.0763, 9.9842, 9.9544, 9.9248, 9.8394, 9.8655, 9.7998, 9.7668, 9.7444, 9.703, 9.6723, 9.6549, 9.6269, 9.6003, 9.5742, 9.5541, 9.527, 9.5122, 9.4378, 9.4056, 9.3885, 9.3614, 9.3368, 9.3135, 9.3005, 9.2831, 9.2602, 9.1967, 9.1397, 9.1327, 9.1121, 9.0973, 9.0828, 9.0711, 9.0533, 9.0398, 9.0256, 9.0133, 8.9992, 8.9827, 8.9778, 8.9778, 8.9686, 8.985, 8.9673, 8.9707, 8.9173, 9.0342, 9.0259, 9.0073, 8.9882, 8.9748, 8.9744, 8.9784, 8.9641, 8.9586, 8.9181, 8.9104, 8.8932, 8.876, 8.8648, 8.8506, 8.8397, 8.8267, 8.7841, 8.749, 8.7403, 8.6969, 8.6601, 8.6496, 8.6079, 8.583, 8.5803, 8.541, 8.5351, 8.5265, 8.4852, 8.4481, 8.4399, 8.4316, 8.4259, 8.3948, 8.3566, 8.352, 8.4161, 8.4106, 8.4011, 8.4005, 8.4086, 8.3737, 8.3654, 8.3573, 8.3255, 8.2915, 8.2834, 8.2729, 8.2649, 8.257, 8.2526, 8.2554, 8.252, 8.2456, 8.2483, 8.241, 8.2337, 8.2265, 8.2238, 8.2221, 8.2173, 8.1856, 8.1526, 8.1475, 8.148, 8.1487, 8.1359, 8.132, 8.1282, 8.1216, 8.1141, 8.1083, 8.1031, 8.0754, 8.0468, 8.0198, 8.0182, 7.9911, 7.9881, 7.9623, 7.9598, 7.9559, 7.9517, 7.9514, 7.9456, 7.9203, 7.8953, 7.8945, 7.9541, 7.928, 7.94, 7.9398, 7.9353, 7.9294, 7.9491, 7.9625, 7.9568, 7.9531, 7.9473, 7.9239, 7.9225, 7.9196, 7.9166, 7.8969, 7.8936, 7.8903, 7.8852, 7.8827, 7.8812, 7.8567, 7.8515, 7.8246, 7.8009, 7.8008, 7.7983, 7.8111, 7.8083, 7.8035, 7.7993, 7.7965, 7.7961, 7.7899, 7.79, 7.7878, 7.7839, 7.7826, 7.7795, 7.7781, 7.7742, 7.7801, 7.8578, 7.8461, 7.826, 7.8252, 7.8431, 7.8211, 7.8162, 7.8301, 7.8117, 7.8068, 7.8042, 7.8092, 7.8065, 7.8039, 7.799, 7.7965, 7.794, 7.8013, 7.7989, 7.7964, 7.7939, 7.7916, 7.7911, 7.7884, 7.7841, 7.7836, 7.7831, 7.7824, 7.7823, 7.7799, 7.7797, 7.7828, 7.7862, 7.7849, 7.7835, 7.7812, 7.7829, 7.7816, 7.779, 7.7828, 7.7735, 7.7755, 7.7742, 7.7726, 7.7711, 7.7695, 7.7681, 7.7694, 7.7679, 7.7665, 7.7651, 7.7637, 7.7688, 7.7732, 7.7798, 7.7755, 7.7744, 7.7727, 7.7715, 7.7722, 7.7722, 7.7697, 7.7699, 7.7675, 7.7739, 7.7593, 7.7592, 7.7625, 7.76, 7.7576, 7.7575, 7.7554, 7.7569, 7.7558, 7.7547, 7.7381, 7.7369, 7.7367, 7.7326, 7.7311, 7.7351, 7.7356, 7.7198, 7.7184, 7.7203, 7.7185, 7.717, 7.7155, 7.7192, 7.7106, 7.693, 7.6984, 7.7038, 7.7175, 7.8338, 7.8321, 7.8297, 7.8139, 7.8006, 7.7835, 7.7796, 7.7772, 7.7614, 7.7456, 7.7302, 7.7278, 7.7124, 7.7091, 7.6935, 7.694500000000001, 7.6922, 7.6899, 7.68, 7.6645, 7.6634, 7.6626, 7.6472, 7.6327, 7.6318, 7.6309, 7.617, 7.6267, 7.6254, 7.6142, 7.614, 7.6119, 7.598, 7.5997, 7.5982, 7.6029, 7.6247, 7.7119, 7.7158, 7.7214, 7.7263, 7.7256, 7.7254, 7.711, 7.7148, 7.7192, 7.7208, 7.7218, 7.7566, 7.7562, 7.7587, 7.7604, 7.7587, 7.76, 7.7582, 7.7546, 7.7418, 7.7402, 7.7383, 7.7267, 7.7246, 7.7229, 7.7211, 7.7075, 7.7076, 7.7077, 7.708, 7.7061, 7.7038, 7.7023, 7.6887, 7.6779, 7.6781, 7.6761, 7.6744, 7.6725, 7.6727, 7.6616, 7.6494, 7.6497, 7.6479, 7.6486, 7.6496, 7.6487, 7.6478, 7.6465, 7.6452, 7.6442, 7.6432, 7.6422, 7.6321, 7.6295, 7.6293, 7.6269, 7.6265, 7.617, 7.6072, 7.609, 7.608, 7.6069, 7.6058, 7.5935, 7.5803, 7.5731, 7.5727, 7.5718, 7.5697, 7.558, 7.6161, 7.6929, 7.6966, 7.7039, 7.7028, 7.6903, 7.6805, 7.681500000000001, 7.6789, 7.6817, 7.6873, 7.6883, 7.6872, 7.6861, 7.6743, 7.6633, 7.6643, 7.6636, 7.6638, 7.651, 7.6509, 7.6497, 7.6488, 7.6494, 7.6496, 7.6479, 7.6707, 7.6766, 7.8087, 7.7966, 7.7964, 7.7906, 7.7888, 7.789, 7.7878, 7.7848, 7.7837, 7.7806, 7.7811, 7.781, 7.7802, 7.7781, 7.7751, 7.7739, 7.773, 7.771, 7.7699, 7.7679, 7.766, 7.7642, 7.7529, 7.7425, 7.7414, 7.7307, 7.7199, 7.7211, 7.7193, 7.7173, 7.7168, 7.7151, 7.7134, 7.712, 7.7106, 7.7094, 7.7094, 7.7095, 7.708, 7.7082, 7.7065, 7.7048, 7.703, 7.7031, 7.7039, 7.6939, 7.6924, 7.691, 7.6894, 7.6895, 7.6897, 7.6927, 7.6933, 7.6942, 7.6925, 7.6916, 7.6921, 7.691, 7.689, 7.6874, 7.688400000000001, 7.6861, 7.6846, 7.6827, 7.6788, 7.6686, 7.6687, 7.6671, 7.6644, 7.6627, 7.6612, 7.6606, 7.66, 7.6576, 7.657, 7.6557, 7.6533, 7.6528, 7.6522, 7.6516, 7.6508, 7.6538, 7.6537, 7.6523, 7.6417, 7.633, 7.6315, 7.631, 7.6316, 7.6311, 7.6302, 7.6288, 7.6274, 7.6264, 7.6261, 7.6265, 7.6252, 7.6259, 7.6234, 7.6219, 7.6206, 7.6192, 7.6176, 7.6169, 7.617900000000001, 7.618900000000001, 7.617, 7.6172, 7.6156, 7.6052, 7.604, 7.6025, 7.6009, 7.6003, 7.6002, 7.5996, 7.599, 7.5976, 7.5972, 7.5957, 7.5941, 7.5963, 7.5917, 7.5889, 7.7174, 7.7078, 7.7192, 7.718, 7.7568, 7.8044, 7.8029, 7.8005, 7.7987, 7.7978, 7.7955, 7.7939, 7.7932, 7.7925, 7.7917, 7.791, 7.7887, 7.788, 7.7874, 7.7858, 7.7862, 7.7847, 7.7832, 7.7825, 7.7811, 7.7804, 7.7814000000000005, 7.8161, 7.8153, 7.8135, 7.8053, 7.8046, 7.8101, 7.8097, 7.8711, 7.8706, 7.8715, 7.8708, 7.8694, 7.8679, 7.8684, 7.8693, 7.868, 7.8681, 7.8669, 7.8725, 7.8721, 7.8714, 7.8719, 7.8713, 7.8635, 7.8802, 7.8738, 7.8739, 7.8731, 7.8729, 7.8715, 7.8725, 7.874, 7.8656, 7.8644, 7.8663, 7.8596, 7.8586, 7.8574, 7.8562, 7.8496, 7.8491, 7.8476, 7.8481, 7.8478, 7.8477, 7.8474, 7.8394, 7.8389, 7.8377, 7.8365, 7.8278, 7.8275, 7.8263, 7.8268, 7.8255, 7.8251, 7.8261, 7.827100000000001, 7.8854, 7.8903, 7.8822, 7.8792, 7.8726, 7.8776, 7.8737, 7.874, 7.8787, 7.8777, 7.8692, 7.861, 7.8602, 7.8612, 7.8622000000000005, 7.8614, 7.8603, 7.8519, 7.8434, 7.842, 7.8406, 7.8395, 7.8329, 7.8261, 7.819, 7.8257, 7.8503, 7.849, 7.8569, 7.848, 7.879, 7.872, 7.8721, 7.8869, 7.8859, 7.8849, 7.8837, 7.8835, 7.8823, 7.885, 7.8777, 7.8758, 7.8748, 7.8676, 7.8597, 7.8607000000000005, 7.8602, 7.8605, 7.8597, 7.8588, 7.8515, 7.8434, 7.8423, 7.8424, 7.841, 7.8402, 7.8393, 7.8395, 7.8386, 7.8386, 7.8379, 7.8369, 7.836, 7.8352, 7.835, 7.834, 7.834, 7.8331, 7.8329, 7.832, 7.8312, 7.83, 7.8284, 7.8279, 7.8264, 7.8249, 7.8244, 7.8236, 7.8227, 7.8223, 7.822, 7.8212, 7.8197, 7.8189, 7.8178, 7.8165, 7.8163, 7.8154, 7.8326, 7.8325, 7.8317, 7.8302, 7.8288, 7.8227, 7.8225, 7.8232, 7.823, 7.8217, 7.8204, 7.8196, 7.8185, 7.8176, 7.8165, 7.8159, 7.8153, 7.8141, 7.8137, 7.8147, 7.8145, 7.8133, 7.806, 7.7989, 7.798, 7.7969, 7.7902, 7.7912, 7.7913, 7.7901, 7.7822, 7.7778, 7.7772, 7.7752, 7.7738, 7.7728, 7.7723, 7.7715, 7.7654, 7.7646, 7.7635, 7.7622, 7.7632, 7.7634, 7.7623, 7.7559, 7.7493, 7.7503, 7.7494, 7.7492, 7.7424, 7.7355, 7.735, 7.7339, 7.7341, 7.733, 7.7314, 7.7359, 7.7403, 7.7416, 7.7392, 7.7385, 7.7389, 7.7393, 7.7383, 7.7379, 7.7398, 7.7386, 7.7375, 7.7363, 7.7359, 7.7363, 7.7368, 7.7353, 7.735, 7.7346, 7.7356, 7.7326, 7.7276, 7.7271, 7.7276, 7.7271, 7.7267, 7.7261, 7.7256, 7.7252, 7.7248, 7.7245, 7.7241, 7.7236, 7.7231, 7.7226, 7.7222, 7.7166, 7.716, 7.7155, 7.7093, 7.7026, 7.7023, 7.7102, 7.7122, 7.7127, 7.7221, 7.7224, 7.7238, 7.7241, 7.7236, 7.723, 7.7225, 7.7222, 7.7217, 7.721, 7.7157, 7.7097, 7.7092, 7.7115, 7.7193, 7.7132, 7.714, 7.7135, 7.7126, 7.713, 7.7121, 7.7133, 7.7179, 7.7174, 7.717, 7.7167, 7.7104, 7.7043, 7.7041, 7.7039, 7.7028, 7.703, 7.7031, 7.7044, 7.6983, 7.6977, 7.6972, 7.6967, 7.6959, 7.6945, 7.694, 7.6923, 7.6915, 7.6907, 7.6898, 7.69, 7.6892, 7.6884, 7.6875, 7.6895, 7.6886, 7.687, 8.0007, 8.0115, 8.0108, 8.0359, 8.0293, 8.0336, 8.0275, 8.0282, 8.027, 8.0262, 8.0254, 8.0188, 8.0126, 8.0118, 8.0106, 8.0093, 8.0075, 8.0067, 8.0064, 8.0056, 8.0043, 8.0035, 8.0022, 8.002, 8.0008, 7.9996, 7.9984, 7.997, 7.9962, 7.9947, 7.9938, 7.9935, 7.9926, 7.9917, 7.9854, 7.9789, 7.9785, 7.9775, 7.9766, 7.9755, 7.9748, 7.969, 7.9641, 7.9639, 7.9629, 7.962, 7.9626, 7.9617, 7.9551, 7.9494, 7.9434, 7.9442, 7.9437, 7.943, 7.9413, 7.9404, 7.9395, 7.94, 7.9393, 7.9386, 7.9372, 7.9384, 7.9334, 7.9321, 7.9315, 7.9309, 7.9303, 7.9298, 7.9241, 7.9281, 7.9268, 7.9273, 7.9268, 7.9259, 7.9254, 7.9241, 7.9227, 7.922, 7.9222, 7.9216, 7.921, 7.9204, 7.9203, 7.9204, 7.9204, 7.9192, 7.9186, 7.9178, 7.9171, 7.9168, 7.9165, 7.915, 7.9228, 7.9266, 7.921, 7.9211, 7.9156, 7.9103, 7.9118, 7.9124, 7.9065, 7.9007, 7.9003, 7.8945, 7.8895, 7.9184, 7.9245, 7.9234, 7.9244, 7.9279, 7.9269, 7.9219, 7.9161, 7.9102, 7.9091, 7.9089, 7.9329, 7.9314, 7.9304, 7.9294, 7.9284, 7.9269, 7.9263, 7.9253, 7.9243, 7.9233, 7.9228, 7.9218, 7.9212, 7.9213, 7.9185, 7.9198, 7.9193, 7.9188, 7.9181, 7.9124, 7.9118, 7.9112, 7.9056, 7.9002, 7.8996, 7.8998, 7.899, 7.8991, 7.8991, 7.8996, 7.9003, 7.8989, 7.8975, 7.8927, 7.8942, 7.8936, 7.893, 7.8962, 7.8907, 7.8854, 7.8848, 7.8797, 7.88, 7.8818, 7.8822, 7.877, 7.8712, 7.8708, 7.8659, 7.8665, 7.8608, 7.8607, 7.8607, 7.86, 7.86, 7.859, 7.8586, 7.8586, 7.858, 7.8577, 7.8565, 7.8562, 7.8559, 7.8555, 7.8565000000000005, 7.8553, 7.8549, 7.8494, 7.8487, 7.848, 7.8474, 7.8421, 7.8367, 7.8361, 7.8321, 7.8281, 7.8275, 7.8263, 7.826, 7.8252, 7.8245, 7.8245, 7.8238, 7.8238, 7.8229, 7.822, 7.8222, 7.8219, 7.8216, 7.8213, 7.8216, 7.8213, 7.821, 7.822, 7.8228, 7.8174, 7.8126, 7.8123, 7.8114, 7.8111, 7.8112, 7.812200000000001, 7.8119, 7.811, 7.807, 7.8067, 7.8064, 7.8055, 7.8113, 7.8064, 7.8109, 7.8107, 7.8105, 7.8115, 7.811, 7.8101, 7.8095, 7.8089, 7.8094, 7.8124, 7.812, 7.813000000000001, 7.813, 7.8088, 7.8041, 7.7993, 7.8, 7.7973, 7.7933, 7.7931, 7.793, 7.793, 7.793, 7.7945, 7.7936, 7.7935, 7.7935, 7.7931, 7.7921, 7.7922, 7.7878, 7.7874, 7.787, 7.7867, 7.7819, 7.7777, 7.7764, 7.776, 7.7786, 7.7735, 7.7731, 7.7726, 7.7723, 7.773300000000001, 7.7732, 7.769, 7.7639, 7.7669, 7.7668, 7.7684, 7.7672, 7.7634, 7.7644, 7.7635, 7.759, 7.7545, 7.7536, 7.7535, 7.7534, 7.7563, 7.7519, 7.7519, 7.7518, 7.7503, 7.7504, 7.7503, 7.748, 7.7451, 7.7457, 7.7463, 7.746, 7.7454, 7.7464, 7.747400000000001, 7.7468, 7.7473, 7.7475, 7.7472, 7.7485, 7.7483, 7.749300000000001, 7.7491, 7.7489, 7.7452, 7.7471, 7.746, 7.7456, 7.7458, 7.7456, 7.7453, 7.745, 7.7448, 7.7439, 7.7436, 7.7433, 7.743, 7.7427, 7.7428, 7.7426, 7.7386, 7.7397, 7.7354, 7.7352, 7.7312, 7.7315, 7.7325, 7.7315, 7.7327, 7.7284, 7.7278, 7.7267, 7.7266, 7.7262, 7.7212, 7.7167, 7.7163, 7.716, 7.7151, 7.7181, 7.7168, 7.7424, 7.7419, 7.7381, 7.7441, 7.7487, 7.7506, 7.7537, 7.7531, 7.7488, 7.7454, 7.7414, 7.7448, 7.7441, 7.7398, 7.7361, 7.7351, 7.7341, 7.7347, 7.7365, 7.7374, 7.7372, 7.737, 7.7371, 7.7361, 7.7318, 7.731, 7.731, 7.7306, 7.7305, 7.7259, 7.7227, 7.7222, 7.718, 7.7179, 7.714, 7.715000000000001, 7.715, 7.7105, 7.7103, 7.7097, 7.7091, 7.7046, 7.7001, 7.7001, 7.6995, 7.6993, 7.6988, 7.6983, 7.6978, 7.6972, 7.6977, 7.6979, 7.6979, 7.6974, 7.6968, 7.6968, 7.6928, 7.6892, 7.6888, 7.6883, 7.6875, 7.6867, 7.6859, 7.6856, 7.6814, 7.6827, 7.6819, 7.6811, 7.6768, 7.6727, 7.6719, 7.6715, 7.6706, 7.6697, 7.6692, 7.6688, 7.6688, 7.6687, 7.6681, 7.6639, 7.6634, 7.6828, 7.6823, 7.6825, 7.6824, 7.6819, 7.6817, 7.6811, 7.6806, 7.6805, 7.68, 7.6791, 7.6801, 7.6824, 7.6822, 7.6821, 7.678, 7.6775, 7.677, 7.678, 7.6777, 7.6775, 7.6734, 7.6789, 7.6792, 7.6757, 7.6774, 7.6799, 7.6805, 7.6805, 7.6805, 7.6805, 7.6805, 7.6801, 7.6798, 7.68, 7.6768, 7.6765, 7.6762, 7.6759, 7.6749, 7.6755, 7.6718, 7.6682, 7.6648, 7.6605, 7.6563, 7.6577, 7.6577, 7.6541, 7.6536, 7.6609, 7.6603, 7.66, 7.6597, 7.6594, 7.6588, 7.6586, 7.6542, 7.6568, 7.6561, 7.6648, 7.6655, 7.6652, 7.6649, 7.6647, 7.6644, 7.6641, 7.665100000000001, 7.6648, 7.6644, 7.6657, 7.6657, 7.6656, 7.6622, 7.662, 7.6616, 7.6612, 7.6613, 7.6609, 7.6604, 7.66, 7.6604, 7.66, 7.6596, 7.6592, 7.6588, 7.6584, 7.6585, 7.6587, 7.6582, 7.6578, 7.6578, 7.6572, 7.6605, 7.6603, 7.6601, 7.6593, 7.6612, 7.6609, 7.6609, 7.6609, 7.6616, 7.6616, 7.6616, 7.662, 7.6612, 7.6611, 7.6603, 7.6602, 7.6601, 7.66, 7.6603, 7.6596, 7.6601, 7.66, 7.66, 7.66, 7.6593, 7.6589, 7.6585, 7.6588, 7.6554, 7.655, 7.6546, 7.6547, 7.6542, 7.6547, 7.6543, 7.6546, 7.6543, 7.654, 7.6537, 7.6539, 7.6536, 7.6532, 7.6528, 7.6526, 7.6523, 7.652, 7.6517, 7.6515, 7.6512, 7.6515, 7.6518, 7.651, 7.6507, 7.6517, 7.6527, 7.6524, 7.6525, 7.6542, 7.6539, 7.6536, 7.6533, 7.653, 7.6596, 7.659, 7.6586, 7.6584, 7.6661, 7.6666, 7.667, 7.6642, 7.6604, 7.6611, 7.6612, 7.6606, 7.6608, 7.6609, 7.661, 7.6571, 7.6534, 7.6535, 7.6543, 7.6547, 7.6563, 7.6577, 7.6587000000000005, 7.659700000000001, 7.6597, 7.6592, 7.6587, 7.6547, 7.6542, 7.6543, 7.6544, 7.6545, 7.6544, 7.6538, 7.653, 7.6528, 7.6526, 7.653, 7.6619, 7.6618, 7.6611, 7.6604, 7.6603, 7.6595, 7.660500000000001, 7.661500000000001, 7.662500000000001, 7.6623, 7.659, 7.6556, 7.6517, 7.6498, 7.646, 7.6459, 7.6457, 7.6458, 7.6428, 7.6422, 7.6404, 7.6374, 7.6366, 7.6368, 7.6364, 7.6361, 7.636, 7.6352, 7.6349, 7.6346, 7.6343, 7.6335, 7.6298, 7.630800000000001, 7.631800000000001, 7.6315, 7.6295, 7.6256, 7.6253, 7.6255, 7.6251, 7.6253, 7.6256, 7.6254, 7.6252, 7.6249, 7.6241, 7.6233, 7.6231, 7.6234, 7.6231, 7.6229, 7.6227, 7.619, 7.6362, 7.636, 7.6323, 7.6304, 7.6297, 7.6295, 7.6288, 7.6286, 7.6281, 7.6292, 7.6308, 7.6306, 7.6302, 7.6295, 7.6476, 7.6473, 7.6436, 7.6434, 7.6436, 7.6446000000000005, 7.6454, 7.6427, 7.6425, 7.6423, 7.6421, 7.6423, 7.6426, 7.6422, 7.6448, 7.6445, 7.6445, 7.6445, 7.6445, 7.6419, 7.6387, 7.6386, 7.6384, 7.6383, 7.6398, 7.6405, 7.6405, 7.6404, 7.6398, 7.6397, 7.6363, 7.6367, 7.6362, 7.6357, 7.6357, 7.6358, 7.6357, 7.6351, 7.6345, 7.6345, 7.6344, 7.6346, 7.6343, 7.6346, 7.6347, 7.6348, 7.6348, 7.6348, 7.6348, 7.6348, 7.6361, 7.6361, 7.6354, 7.6354, 7.6354, 7.6354, 7.6354, 7.6364, 7.6374, 7.783, 7.7833, 7.7828, 7.7888, 7.7925, 7.7919, 7.7977, 7.7943, 7.792, 7.7933, 7.7942, 7.7957, 7.7961, 7.7954, 7.7954, 7.7951, 7.7961, 7.7971, 7.7968, 7.7965, 7.7932, 7.793, 7.7923, 7.7923, 7.7922, 7.7915, 7.7911, 7.7908, 7.7901, 7.7895, 7.7895, 7.7891, 7.7884, 7.788, 7.7876, 7.7872, 7.7865, 7.7871, 7.7869, 7.7864, 7.7859, 7.7859, 7.7854, 7.7864, 7.787400000000001, 7.7874, 7.7869, 7.7836, 7.7819, 7.7831, 7.7826, 7.7826, 7.7826, 7.7795, 7.7886, 7.7859, 7.7878, 7.7954, 7.8044, 7.8016, 7.8046, 7.8041, 7.8037, 7.8029, 7.8022, 7.8018, 7.8009, 7.8002, 7.7997, 7.7963, 7.7946, 7.7937, 7.7905, 7.7904, 7.7905, 7.7903, 7.7902, 7.7897, 7.7891, 7.7911, 7.7907, 7.801, 7.8008, 7.8006, 7.8001, 7.7997, 7.7993, 7.7992, 7.7988, 7.7988, 7.7984, 7.7951, 7.7925, 7.7923, 7.789, 7.7882, 7.7915, 7.7907, 7.79, 7.7897, 7.7892, 7.7915, 7.7912, 7.8073, 7.8134, 7.8165, 7.8189, 7.8158, 7.8138, 7.8134, 7.8178, 7.817, 7.8148, 7.816, 7.8127, 7.8122, 7.8119, 7.8115, 7.8125, 7.8119, 7.8118, 7.8084, 7.8087, 7.808, 7.8075, 7.8123, 7.8147, 7.8142, 7.8137, 7.8129, 7.8097, 7.8065, 7.8034, 7.8027, 7.8024, 7.7997, 7.7965, 7.7974, 7.7984, 7.7994, 7.7992, 7.799, 7.7958, 7.7957, 7.7923, 7.7943, 7.7964, 7.7946, 7.7941, 7.7951, 7.7948, 7.7951, 7.7924, 7.7919, 7.7917, 7.7887, 7.7867, 7.7864, 7.7862, 7.783, 7.78, 7.781000000000001, 7.7808, 7.7806, 7.7819, 7.7785, 7.7782, 7.778, 7.7782, 7.7778, 7.7774, 7.7785, 7.7756, 7.7726, 7.7727, 7.7721, 7.769, 7.769, 7.7686, 7.7656, 7.7653, 7.7678, 7.7683, 7.7681, 7.7689, 7.766, 7.7657, 7.7667, 7.7677000000000005, 7.7675, 7.7673, 7.7641, 7.7662, 7.7663, 7.7634, 7.7604, 7.7601, 7.7599, 7.7594, 7.7589, 7.7584, 7.7578, 7.7576, 7.7586, 7.759600000000001, 7.7592, 7.7601, 7.757, 7.7605, 7.7576, 7.7544, 7.7537, 7.7536, 7.7531, 7.7525, 7.7523, 7.7525, 7.7524, 7.7523, 7.7531, 7.7505, 7.7501, 7.7511, 7.7521, 7.7514, 7.7511, 7.7482, 7.7454, 7.7423, 7.7421, 7.7419, 7.7425, 7.7422, 7.7418, 7.7417, 7.7427, 7.7424, 7.742, 7.7416, 7.7412, 7.7408, 7.7428, 7.7398, 7.7391, 7.7387, 7.7387, 7.7383, 7.738, 7.7376, 7.7373, 7.7342, 7.7313, 7.7314, 7.731, 7.7307, 7.7304, 7.7303, 7.7331, 7.7433, 7.7427, 7.7495, 7.7491, 7.7487, 7.7461, 7.7436, 7.7426, 7.742, 7.7422, 7.7417, 7.7419, 7.7421, 7.7418, 7.742, 7.7393, 7.7406, 7.7407, 7.741, 7.7386, 7.7396, 7.7397, 7.7399, 7.7369, 7.737900000000001, 7.738, 7.7376, 7.7356, 7.7327, 7.7442, 7.7438, 7.7442, 7.744, 7.7438, 7.7432, 7.743, 7.7424, 7.7422, 7.7441, 7.7439, 7.7437, 7.7431, 7.7425, 7.743, 7.744000000000001, 7.745000000000001, 7.746000000000001, 7.7458, 7.7432, 7.7432, 7.7433, 7.7429, 7.7423, 7.7429, 7.7429, 7.7452, 7.7509, 7.7507, 7.7502, 7.7497, 7.7498, 7.75, 7.7497, 7.7494, 7.7493, 7.7497, 7.7499, 7.7502, 7.7498, 7.7495, 7.7491, 7.750100000000001, 7.7498, 7.7495, 7.7467, 7.7465, 7.7475000000000005, 7.748500000000001, 7.749500000000001, 7.749, 7.7488, 7.746, 7.7472, 7.7476, 7.7475, 7.7447, 7.7467, 7.7463, 7.7458, 7.7462, 7.7463, 7.7462, 7.746, 7.746, 7.7457, 7.746, 7.7459, 7.7432, 7.7431, 7.743, 7.7429, 7.7429, 7.7409, 7.7408, 7.7408, 7.7408, 7.7408, 7.7405, 7.7402, 7.7399, 7.7393, 7.7392, 7.7386, 7.738, 7.7384, 7.7601, 7.7597, 7.7589, 7.7595, 7.76, 7.7596, 7.7647, 7.7625, 7.7599, 7.7605, 7.7614, 7.7642, 7.7613, 7.765, 7.7647, 7.7645, 7.764, 7.7635, 7.7633, 7.763, 7.7631, 7.7628, 7.7625, 7.7621, 7.7621, 7.7616, 7.7613, 7.761, 7.7607, 7.7602, 7.7597, 7.7598, 7.7601, 7.7578, 7.7586, 7.7591, 7.761, 7.767, 7.7644, 7.7644, 7.7644, 7.7643, 7.7637, 7.7634, 7.7634, 7.7634, 7.7631, 7.7635, 7.7609, 7.7608, 7.7602, 7.7603, 7.76, 7.76, 7.76, 7.7599, 7.7598, 7.7597, 7.7592, 7.759, 7.7588, 7.7587, 7.7581, 7.7593, 7.7591, 7.7592, 7.759, 7.7591, 7.7589, 7.7588, 7.7582, 7.7577, 7.7576, 7.7576, 7.7575, 7.7547, 7.752, 7.753, 7.753, 7.7527, 7.75, 7.7497, 7.7494, 7.749, 7.7487, 7.7486, 7.7485, 7.7479, 7.7473, 7.7474, 7.7468, 7.7468, 7.7464, 7.746, 7.7456, 7.7452, 7.745, 7.7429, 7.7403, 7.7403, 7.741300000000001, 7.7418, 7.7415, 7.7389, 7.7365, 7.7365, 7.7362, 7.7359, 7.7356, 7.7395, 7.7391, 7.7391, 7.7392, 7.7391, 7.7363, 7.7362, 7.736, 7.7355, 7.7353, 7.7352, 7.7347, 7.7346, 7.7345, 7.7343, 7.7338, 7.7337, 7.7356, 7.7329, 7.7329, 7.7326, 7.7298, 7.7302, 7.7282, 7.7282, 7.7292, 7.7289, 7.7287, 7.7283, 7.7279, 7.7275, 7.7273, 7.7249, 7.7264, 7.7261, 7.7257, 7.7255, 7.7269, 7.7269, 7.727, 7.7268, 7.7263, 7.7261, 7.7257, 7.7259, 7.7235, 7.7258, 7.7254, 7.7268, 7.7269, 7.7267, 7.728, 7.7255, 7.726500000000001, 7.727500000000001, 7.7276, 7.7272, 7.7251, 7.7226, 7.7225, 7.7221, 7.7221, 7.722, 7.7219, 7.7218, 7.7217, 7.7215, 7.7209, 7.7206, 7.7208, 7.721, 7.7208, 7.7206, 7.7204, 7.7205, 7.718, 7.7178, 7.7176, 7.7174, 7.7177, 7.7177, 7.7176, 7.718, 7.7176, 7.7172, 7.7172, 7.7168, 7.7168, 7.7165, 7.7163, 7.716, 7.7154, 7.7155, 7.7165, 7.7175, 7.718500000000001, 7.7186, 7.7184, 7.7158, 7.7134, 7.7132, 7.7133, 7.7131, 7.7128, 7.7129, 7.7126, 7.7101, 7.7107, 7.7107, 7.7112, 7.7109, 7.7113, 7.7104, 7.7112, 7.7108, 7.7082, 7.706, 7.7061, 7.7044, 7.7041, 7.705100000000001, 7.706100000000001, 7.7055, 7.7056, 7.7031, 7.7005, 7.7007, 7.703, 7.7079, 7.7081, 7.7078, 7.7084, 7.7082, 7.708, 7.7078, 7.7077, 7.7075, 7.7073, 7.7048, 7.702, 7.7017, 7.7047, 7.7042, 7.7044, 7.7038, 7.7036, 7.7034, 7.7035, 7.7032, 7.7029, 7.7026, 7.7025, 7.7021, 7.7018, 7.702800000000001, 7.704, 7.7042, 7.702, 7.6995, 7.7005, 7.7004, 7.7, 7.6999, 7.6996, 7.6991, 7.6986, 7.6982, 7.6968, 7.6945, 7.6952, 7.6962, 7.6959, 7.6939, 7.6915, 7.7011, 7.7009, 7.6999, 7.6984, 7.6983, 7.6979, 7.6959, 7.6954, 7.695, 7.6958, 7.6938, 7.6936, 7.6935, 7.6914, 7.6923, 7.6898, 7.6896, 7.6894, 7.6893, 7.6892, 7.689, 7.6888, 7.6882, 7.688, 7.6878, 7.688, 7.6879, 7.6854, 7.6829, 7.6831, 7.6826, 7.6825, 7.6824, 7.6823, 7.6821, 7.6821, 7.6817, 7.6814, 7.6816, 7.6813, 7.6791, 7.6764, 7.6761, 7.6758, 7.6755, 7.6753, 7.6755, 7.673, 7.6744, 7.6742, 7.674, 7.674, 7.6738, 7.6735, 7.6732, 7.673, 7.674, 7.6737, 7.6734, 7.6736, 7.6712, 7.6722, 7.6732000000000005, 7.674200000000001, 7.674, 7.6718, 7.6697, 7.6696, 7.6695, 7.6699, 7.67, 7.67, 7.6678, 7.6677, 7.6676, 7.6679, 7.6678, 7.6665, 7.6641, 7.665100000000001, 7.666100000000001, 7.667100000000001, 7.6668, 7.6666, 7.6642, 7.6619, 7.6618, 7.6616, 7.6613, 7.661, 7.6608, 7.6606, 7.6584, 7.6584, 7.6581, 7.6578, 7.6576, 7.6576, 7.6574, 7.655, 7.6537, 7.6535, 7.6551, 7.6549, 7.6544, 7.6542, 7.654, 7.6542, 7.6544, 7.654, 7.6551, 7.6548, 7.6528, 7.656, 7.6559, 7.6614, 7.6612, 7.6588, 7.6589, 7.6589, 7.6567, 7.6562, 7.6557, 7.6555, 7.6559, 7.6536, 7.6515, 7.6515, 7.6576, 7.6581, 7.6598, 7.6599, 7.6596, 7.6593, 7.659, 7.6602, 7.6599, 7.6577, 7.6558, 7.6555, 7.6552, 7.6569, 7.657900000000001, 7.6605, 7.66, 7.6642, 7.6723, 7.6713, 7.6719, 7.67, 7.6699, 7.6696, 7.6695, 7.6692, 7.6689, 7.6684, 7.6682, 7.668, 7.6675, 7.6655, 7.666, 7.6655, 7.6678, 7.6655, 7.6653, 7.6652, 7.6649, 7.665, 7.6655, 7.6634, 7.6631, 7.6636, 7.6614, 7.662400000000001, 7.6623, 7.6618, 7.6596, 7.6595, 7.6591, 7.6587, 7.6587, 7.6587, 7.6597, 7.6598, 7.6598, 7.6597, 7.6577, 7.6572, 7.6572, 7.6571, 7.6568, 7.6567, 7.6565, 7.6567, 7.6564, 7.6564, 7.6544, 7.6545, 7.6545, 7.6546, 7.6551, 7.6567, 7.6578, 7.6592, 7.6571, 7.655, 7.6535, 7.6544, 7.6548, 7.6567, 7.6564, 7.6563, 7.6576, 7.6573, 7.6572, 7.6571, 7.6571, 7.657, 7.6568, 7.6554, 7.6555, 7.6532, 7.6542, 7.6541, 7.6537, 7.6515, 7.6515, 7.6513, 7.6513, 7.6515, 7.6497, 7.6507000000000005, 7.651700000000001, 7.6518, 7.6497, 7.6474, 7.6487, 7.6484, 7.6485, 7.6482, 7.648, 7.6475, 7.6456, 7.6457, 7.6434, 7.6416, 7.6441, 7.6478, 7.6454, 7.6434, 7.6428, 7.6425, 7.643, 7.6407, 7.6405, 7.6403, 7.64, 7.6376, 7.6372, 7.6369, 7.6369, 7.6347, 7.633, 7.633, 7.6334, 7.6334, 7.635, 7.635, 7.636, 7.6361, 7.636, 7.6339, 7.6317, 7.6316, 7.6402, 7.6401, 7.6396, 7.6395, 7.6394, 7.6396, 7.6395, 7.6394, 7.6393, 7.6392, 7.6372, 7.6371, 7.6374, 7.6371, 7.6374, 7.6374, 7.6374, 7.6371, 7.637, 7.6354, 7.6334, 7.6336, 7.6341, 7.6343, 7.634, 7.6337, 7.6337, 7.6332, 7.631, 7.6316, 7.6313, 7.6312, 7.6322, 7.632, 7.6317, 7.6297, 7.6295, 7.6292, 7.6271, 7.625, 7.626, 7.626, 7.6242, 7.6221, 7.6219, 7.6216, 7.6216, 7.6213, 7.6214, 7.6217, 7.6218, 7.6216, 7.6217, 7.6216, 7.6215, 7.6217, 7.6224, 7.6228, 7.624, 7.6236, 7.6235, 7.6234, 7.6236, 7.6235, 7.6234, 7.623, 7.6229, 7.623, 7.6229, 7.6228, 7.6227, 7.623, 7.6225, 7.6223, 7.6223, 7.6224, 7.6266, 7.6249, 7.6274, 7.6273, 7.6253, 7.6232, 7.623, 7.6537, 7.6538, 7.6535, 7.6534, 7.6532, 7.6531, 7.6528, 7.6538, 7.654800000000001, 7.6547, 7.6546, 7.6551, 7.6549, 7.6547, 7.6544, 7.6543, 7.6521, 7.6505, 7.6522, 7.6519, 7.6543, 7.6541, 7.654, 7.6535, 7.6531, 7.6529, 7.6527, 7.6525, 7.6523, 7.6521, 7.6517, 7.6515, 7.6509, 7.6507, 7.6505, 7.6504, 7.6502, 7.65, 7.6497, 7.6493, 7.6491, 7.649, 7.6489, 7.6485, 7.6482, 7.6479, 7.6489, 7.6487, 7.6487, 7.6498, 7.6506, 7.6506, 7.6485, 7.6482, 7.646, 7.6457, 7.6438, 7.6439, 7.6423, 7.6426, 7.6412, 7.641, 7.641, 7.6408, 7.6409, 7.6409, 7.6404, 7.6384, 7.6393, 7.6393, 7.6391, 7.6431, 7.6412, 7.6392, 7.6392, 7.639, 7.6387, 7.6384, 7.6384, 7.6381, 7.6384, 7.6363, 7.6346, 7.6343, 7.6342, 7.6341, 7.6341, 7.634, 7.6327, 7.6326, 7.6328, 7.6327, 7.6326, 7.6309, 7.6309, 7.6306, 7.6338, 7.6335, 7.6336, 7.633, 7.6329, 7.6331, 7.6312, 7.631, 7.6311, 7.6312, 7.6312, 7.6312, 7.6292, 7.6307, 7.6307, 7.6287, 7.6268, 7.6256, 7.626600000000001, 7.6269, 7.6268, 7.6269, 7.6272, 7.6274, 7.6279, 7.6278, 7.6277, 7.6289, 7.6279, 7.6278, 7.6277, 7.6277, 7.6287, 7.629700000000001, 7.6295, 7.6305, 7.6285, 7.6284, 7.628, 7.6279, 7.6277, 7.6276, 7.6274, 7.6275, 7.6273, 7.6268, 7.6267, 7.6266, 7.6267, 7.6266, 7.6265, 7.6264, 7.6263, 7.6262, 7.6261, 7.6262, 7.6241, 7.6237, 7.6235, 7.6237, 7.6241, 7.6239, 7.6238, 7.6237, 7.6234, 7.6234, 7.6214, 7.6196, 7.6196, 7.6194, 7.6197, 7.6197, 7.6202, 7.6206, 7.6206, 7.6203, 7.62, 7.6198, 7.6197, 7.6196, 7.6176, 7.6154, 7.615, 7.6149, 7.6151, 7.6151, 7.6151, 7.615, 7.6147, 7.6143, 7.6145, 7.6146, 7.6146, 7.6146, 7.6145, 7.6144, 7.6143, 7.6124, 7.6103, 7.6113, 7.6123, 7.6122, 7.6121, 7.6102, 7.6082, 7.6081, 7.608, 7.6076, 7.6075, 7.6074, 7.6073, 7.6072, 7.6071, 7.607, 7.6072, 7.6071, 7.607, 7.6069, 7.6068, 7.6066, 7.6046, 7.6026, 7.6007, 7.6007, 7.6014, 7.6015, 7.602, 7.6024, 7.6021, 7.6018, 7.6016, 7.5995, 7.6005, 7.601500000000001, 7.6015, 7.6012, 7.5992, 7.5974, 7.5971, 7.5984, 7.6002, 7.5981, 7.5991, 7.5991, 7.5972, 7.6044, 7.6043, 7.6046, 7.6049, 7.6049, 7.6048, 7.6047, 7.6046, 7.6046, 7.6045, 7.605, 7.6031, 7.6044, 7.6043, 7.6042, 7.604, 7.6038, 7.6048, 7.6089, 7.6089, 7.6119, 7.6132, 7.6141, 7.6124, 7.6112, 7.6122, 7.6137, 7.6135, 7.6135, 7.6118, 7.6115, 7.6128, 7.611, 7.6108, 7.6093, 7.609, 7.616, 7.6158, 7.6155, 7.6152, 7.6149, 7.6168, 7.618, 7.6179, 7.6178, 7.6178, 7.6177, 7.6177, 7.6177, 7.6174, 7.6173, 7.6172, 7.6171, 7.6225, 7.6211, 7.6228, 7.624, 7.6221, 7.6222, 7.635, 7.6332, 7.6347, 7.6398, 7.6397, 7.6395, 7.6417, 7.6413, 7.6409, 7.6405, 7.6412, 7.6417, 7.6402, 7.6405, 7.6388, 7.6387, 7.6393, 7.6391, 7.6391, 7.6389, 7.6392, 7.639, 7.6388, 7.6386, 7.6384, 7.6384, 7.6385, 7.6401, 7.6383, 7.6381, 7.6383, 7.6391, 7.6372, 7.6372, 7.6383, 7.6364, 7.6345, 7.6346, 7.6361, 7.6343, 7.6325, 7.6323, 7.6322, 7.6302, 7.6302, 7.6303, 7.6301, 7.6299, 7.6297, 7.6279, 7.6261, 7.6245, 7.6243, 7.6226, 7.6231, 7.623, 7.6212, 7.6194, 7.6198, 7.623, 7.6211, 7.6192, 7.6191, 7.6187, 7.6184, 7.6165, 7.6165, 7.6165, 7.6151, 7.6151, 7.6158, 7.6246, 7.6245, 7.6245, 7.6257, 7.6257, 7.6255, 7.6238, 7.6221, 7.6221, 7.622, 7.6214, 7.6213, 7.6195, 7.6199, 7.618, 7.6161, 7.616, 7.6159, 7.6158, 7.6159, 7.6158, 7.6157, 7.6156, 7.6154, 7.6153, 7.6155, 7.6161, 7.6166, 7.6167, 7.6167, 7.6169, 7.617, 7.6171, 7.6153, 7.6137, 7.6141, 7.6142, 7.6141, 7.614, 7.6136, 7.6135, 7.6134, 7.6133, 7.6133, 7.6137, 7.6137, 7.6138, 7.6139, 7.614, 7.6141, 7.6142, 7.6139, 7.6162, 7.6166, 7.6165, 7.6161, 7.616, 7.6184, 7.6184, 7.6207, 7.6189, 7.6172, 7.6172, 7.6172, 7.6172, 7.6174, 7.6155, 7.6164, 7.6148, 7.6148, 7.6148, 7.6148, 7.6147, 7.6149, 7.6147, 7.6145, 7.6147, 7.6146, 7.6151, 7.6153, 7.6152, 7.6154, 7.6153, 7.6152, 7.6152, 7.6152, 7.6152, 7.6152, 7.615, 7.6149, 7.6146, 7.6145, 7.6144, 7.6142, 7.6143, 7.6143, 7.6141, 7.6137, 7.6136, 7.6137, 7.6135, 7.6134, 7.6132, 7.613, 7.6126, 7.6124, 7.6124, 7.6125, 7.6153, 7.6143, 7.6124, 7.6104, 7.6919, 7.6925, 7.6926, 7.6978, 7.6975, 7.6974, 7.6956, 7.694, 7.694, 7.6937, 7.6936, 7.6931, 7.6913, 7.691, 7.6908, 7.6905, 7.6888, 7.6892, 7.6899, 7.6895, 7.6959, 7.694, 7.6971, 7.6968, 7.7012, 7.7005, 7.7002, 7.7001, 7.6983, 7.6965, 7.6971, 7.6969, 7.6965, 7.6948, 7.696, 7.6943, 7.6941, 7.6944, 7.6941, 7.6939, 7.6937, 7.6935, 7.6932, 7.6939, 7.6949, 7.6948, 7.6944, 7.6944, 7.6948, 7.6951, 7.6949, 7.6948, 7.6947, 7.6948, 7.6937, 7.6935, 7.6931, 7.6932, 7.693, 7.6928, 7.6926, 7.6927, 7.6911, 7.6909, 7.691, 7.6946, 7.6945, 7.6931, 7.693, 7.6929, 7.6928, 7.6925, 7.6925, 7.6911, 7.691, 7.6916, 7.69, 7.6902, 7.6902, 7.6901, 7.6883, 7.6885, 7.6874, 7.6873, 7.6872, 7.6871, 7.6869, 7.6867, 7.6865, 7.6848, 7.686, 7.688, 7.6879, 7.688, 7.6879, 7.6878, 7.6877, 7.6876, 7.6874, 7.6873, 7.6873, 7.6875, 7.6874, 7.6874, 7.6873, 7.6868, 7.6865, 7.6864, 7.6864, 7.6863, 7.6846, 7.6829, 7.6828, 7.6825, 7.6824, 7.6823, 7.6808, 7.679, 7.6789, 7.679, 7.6787, 7.6787, 7.6804, 7.6803, 7.6786, 7.6787, 7.6784, 7.6782, 7.6778, 7.6762, 7.6747, 7.6739, 7.6739, 7.6735, 7.6735, 7.675, 7.6752, 7.675, 7.6733, 7.6716, 7.6698, 7.6696, 7.6688, 7.6686, 7.6685, 7.6684, 7.6668, 7.667, 7.6673, 7.6671, 7.6654, 7.6666, 7.6665, 7.6664, 7.6661, 7.666, 7.6657, 7.6655, 7.6652, 7.6653, 7.6651, 7.6649, 7.665, 7.666, 7.6659, 7.6656, 7.6659, 7.6658, 7.6642, 7.6639, 7.6635, 7.6634, 7.6633, 7.6631, 7.6633, 7.6618, 7.6616, 7.6675, 7.6674, 7.6671, 7.6671, 7.6669, 7.6665, 7.6647, 7.663, 7.6628, 7.6616, 7.6615, 7.6627, 7.6615, 7.6613, 7.6612, 7.6595, 7.6627, 7.6627, 7.6624, 7.6624, 7.6608, 7.6596, 7.6581, 7.6582, 7.6583, 7.6581, 7.6582, 7.6566, 7.655, 7.6551, 7.6554, 7.6551, 7.6558, 7.6556, 7.6561, 7.6567, 7.6578, 7.6563, 7.6568, 7.6567, 7.6562, 7.6558, 7.6556, 7.6554, 7.6553, 7.6554, 7.6552, 7.6552, 7.655, 7.6535, 7.6538, 7.6539, 7.6537, 7.6527, 7.6539, 7.6555, 7.6557, 7.6557, 7.6555, 7.6554, 7.6557, 7.6554, 7.6553, 7.655, 7.6547, 7.6545, 7.6542, 7.6539, 7.6538, 7.6537, 7.6534, 7.6533, 7.6531, 7.6534, 7.6531, 7.6533, 7.6532, 7.6531, 7.6535, 7.6532, 7.6532, 7.6535, 7.6534, 7.6537, 7.6533, 7.6533, 7.6535, 7.6534, 7.6536, 7.6535, 7.6534, 7.6533, 7.653, 7.6529, 7.6528, 7.6538, 7.6549, 7.6547, 7.6548, 7.6548, 7.6546, 7.6544, 7.6591, 7.6589, 7.6587, 7.6585, 7.6585, 7.6591, 7.6591, 7.659, 7.6589, 7.6574, 7.6573, 7.658, 7.6581, 7.6598, 7.6596, 7.6581, 7.6583, 7.6571, 7.6554, 7.6561, 7.656, 7.6559, 7.656, 7.6555, 7.6555, 7.6552, 7.6552, 7.6537, 7.6521, 7.6518, 7.6516, 7.6514, 7.6512, 7.6514, 7.6512, 7.651, 7.6508, 7.6507, 7.6509, 7.6508, 7.6493, 7.6494, 7.6495, 7.6493, 7.6494, 7.6494, 7.6492, 7.649, 7.6488, 7.6487, 7.6485, 7.6491, 7.6495, 7.6483, 7.6485, 7.6492, 7.6474, 7.6472, 7.647, 7.6469, 7.647, 7.6471, 7.6476, 7.6474, 7.6488, 7.6487, 7.6472, 7.6472, 7.6472, 7.6473, 7.6456, 7.6456, 7.6456, 7.6455, 7.6454, 7.6458, 7.6441, 7.6425, 7.6446, 7.6444, 7.6446, 7.6451, 7.6452, 7.6452, 7.6449, 7.6465, 7.6462, 7.6459, 7.6456, 7.6456, 7.6457, 7.6457, 7.6457, 7.6455, 7.646, 7.6461, 7.6462, 7.6463, 7.6463, 7.6463, 7.6461, 7.6461, 7.6461, 7.6464, 7.6449, 7.6447, 7.6445, 7.6443, 7.6441, 7.6442, 7.6437, 7.6438, 7.6438, 7.6436, 7.6432, 7.6431, 7.6435, 7.6421, 7.6433, 7.6433, 7.6433, 7.6431, 7.6431, 7.6431, 7.6415, 7.6417, 7.6415, 7.6415, 7.6412, 7.6412, 7.641, 7.6408, 7.6396, 7.64, 7.6398, 7.6398, 7.64, 7.6398, 7.6397, 7.6397, 7.6398, 7.6398, 7.6401, 7.6402, 7.6402, 7.6402, 7.6402, 7.6399, 7.6397, 7.6398, 7.6382, 7.6367, 7.6365, 7.6366, 7.6367, 7.6371, 7.6372, 7.6373, 7.6377, 7.6374, 7.6372, 7.6373, 7.6374, 7.6372, 7.637, 7.6368, 7.6365, 7.6365, 7.6362, 7.6362, 7.6362, 7.6362, 7.6362, 7.6347, 7.6332, 7.6333, 7.6332, 7.6331, 7.633, 7.6332, 7.6333, 7.6331, 7.6318, 7.6318, 7.6307, 7.6299, 7.6298, 7.6298, 7.6299, 7.6299, 7.6296, 7.6295, 7.6296, 7.6297, 7.6297, 7.6297, 7.6295, 7.6356, 7.6358, 7.6344, 7.633, 7.6332, 7.6319, 7.6305, 7.6291, 7.629, 7.6276, 7.6262, 7.6259, 7.626, 7.6244, 7.6258, 7.6258, 7.6258, 7.6243, 7.6243, 7.6242, 7.6242, 7.6226, 7.6213, 7.6214, 7.62, 7.62, 7.6201, 7.62, 7.6185, 7.6171, 7.6172, 7.6163, 7.6161, 7.6161, 7.6145, 7.6144, 7.6143, 7.6142, 7.6141, 7.614, 7.6139, 7.6146, 7.6149, 7.615, 7.6179, 7.6175, 7.6175, 7.6182, 7.618, 7.619, 7.6198, 7.6294, 7.6292, 7.6292, 7.6291, 7.6288, 7.6298, 7.6285, 7.6272, 7.6272, 7.627, 7.627, 7.6267, 7.6267, 7.6276, 7.6259, 7.6244, 7.6242, 7.6229, 7.6216, 7.6214, 7.6213, 7.6213, 7.6198, 7.6186, 7.6184, 7.6181, 7.6198, 7.6203, 7.6199, 7.621, 7.6208, 7.622, 7.6219, 7.6218, 7.6217, 7.6215, 7.6214, 7.6215, 7.6213, 7.6212, 7.6211, 7.621, 7.6208, 7.6208, 7.6204, 7.6203, 7.6201, 7.6199, 7.6201, 7.6196, 7.6274, 7.6275, 7.6283, 7.6292, 7.6278, 7.6309, 7.6328, 7.6329, 7.6316, 7.6318, 7.6317, 7.6316, 7.6313, 7.63, 7.6285, 7.6285, 7.6284, 7.627, 7.6256, 7.6241, 7.6242, 7.6239, 7.6239, 7.6236, 7.6233, 7.6235, 7.6236, 7.6233, 7.6233, 7.623, 7.6227, 7.6224, 7.6229, 7.628, 7.6277, 7.6261, 7.6245, 7.6256, 7.6255, 7.6261, 7.6259, 7.6257, 7.6255, 7.6254, 7.6253, 7.6253, 7.6253, 7.6252, 7.6251, 7.625, 7.6252, 7.6252, 7.625, 7.6249, 7.6247, 7.6247, 7.6246, 7.6255, 7.6241, 7.6227, 7.6226, 7.6226, 7.6228, 7.6226, 7.6232, 7.6218, 7.6215, 7.6214, 7.6218, 7.6203, 7.6204, 7.6203, 7.6202, 7.6199, 7.6196, 7.6193, 7.6189, 7.6198, 7.6184, 7.6171, 7.6169, 7.6171, 7.617, 7.6155, 7.6153, 7.6151, 7.6149, 7.6148, 7.6145, 7.6146, 7.6145, 7.6145, 7.6145, 7.6145, 7.6144, 7.6142, 7.6142, 7.614, 7.6138, 7.6123, 7.6147, 7.6163, 7.6162, 7.616, 7.6146, 7.6146, 7.6144, 7.6142, 7.6142, 7.614, 7.614, 7.6143, 7.6141, 7.6139, 7.6137, 7.6123, 7.6109, 7.6129, 7.6127, 7.6124, 7.6123, 7.6122, 7.6122, 7.612, 7.6106, 7.6091, 7.6089, 7.6089, 7.6091, 7.6089, 7.6088, 7.6102, 7.6087, 7.6088, 7.6073, 7.606, 7.6059, 7.6066, 7.6065, 7.6064, 7.6065, 7.6052, 7.6062, 7.6063, 7.6063, 7.6063, 7.6063, 7.6065, 7.6067, 7.6065, 7.6065, 7.6065, 7.6067, 7.6067, 7.6072, 7.6058, 7.6059, 7.6059, 7.6059, 7.6058, 7.607, 7.6067, 7.6067, 7.6065, 7.6062, 7.606, 7.6061, 7.6064, 7.6064, 7.6064, 7.6064, 7.6063, 7.6062, 7.6078, 7.6076, 7.6074, 7.6074, 7.6073, 7.6077, 7.6077, 7.6077, 7.6077, 7.6077, 7.6075, 7.6074, 7.6075, 7.6076, 7.6063, 7.6049, 7.6047, 7.6045, 7.6045, 7.6043, 7.6042, 7.6041, 7.6039, 7.6038, 7.6036, 7.6023, 7.6009, 7.6008, 7.6006, 7.6005, 7.6006, 7.6004, 7.6002, 7.6003, 7.6004, 7.5997, 7.602, 7.602, 7.6017, 7.6326, 7.6326, 7.631, 7.6295, 7.6301, 7.6292, 7.6302, 7.6287, 7.628, 7.6283, 7.6272, 7.6268, 7.6267, 7.6267, 7.6264, 7.6264, 7.6263, 7.6262, 7.6262, 7.6261, 7.6259, 7.6256, 7.6256, 7.6255, 7.6254, 7.6279, 7.628, 7.6364, 7.6419, 7.6405, 7.6417, 7.6423, 7.6424, 7.6423, 7.6424, 7.6422, 7.6422, 7.6431, 7.643, 7.6427, 7.6425, 7.6412, 7.6411, 7.6416, 7.6405, 7.6392, 7.6379, 7.6379, 7.6377, 7.6377, 7.6376, 7.6378, 7.6377, 7.6377, 7.6374, 7.6374, 7.6372, 7.637, 7.6368, 7.6369, 7.6367, 7.637, 7.6372, 7.6371, 7.637, 7.6367, 7.6367, 7.6373, 7.6382, 7.6381, 7.638, 7.6378, 7.6382, 7.6386, 7.6401, 7.6455, 7.6453, 7.6452, 7.6451, 7.6452, 7.6452, 7.6453, 7.6453, 7.6453, 7.6442, 7.6442, 7.6445, 7.6432, 7.6429, 7.6429, 7.6427, 7.6415, 7.6403, 7.6401, 7.64, 7.6386, 7.6384, 7.6371, 7.6358, 7.6367, 7.6367, 7.6367, 7.6367, 7.6367, 7.6366, 7.6353, 7.6355, 7.6364, 7.6361, 7.6362, 7.6362, 7.6362, 7.6362, 7.6361, 7.6353, 7.636, 7.6359, 7.6361, 7.6361, 7.6361, 7.6361, 7.6361, 7.6361, 7.6349, 7.6335, 7.6336, 7.6336, 7.6336, 7.6337, 7.6349, 7.6349, 7.6348, 7.6348, 7.6348, 7.6348, 7.6347, 7.6345, 7.6347, 7.6347, 7.6346, 7.6345, 7.6345, 7.6344, 7.6331, 7.6318, 7.6306, 7.6308, 7.6307, 7.6306, 7.6307, 7.6305, 7.6305, 7.6304, 7.6292, 7.6278, 7.6277, 7.6278, 7.6279, 7.629, 7.6289, 7.63, 7.6286, 7.6285, 7.6285, 7.6283, 7.6283, 7.6282, 7.628, 7.628, 7.6279, 7.6278, 7.6278, 7.6276, 7.6276, 7.6274, 7.6339, 7.6339, 7.6337, 7.6335, 7.6334, 7.6334, 7.6333, 7.6332, 7.633, 7.6316, 7.6318, 7.632, 7.632, 7.6319, 7.6319, 7.6319, 7.6319, 7.6319, 7.6319, 7.6319, 7.6319, 7.6319, 7.6319, 7.6319, 7.6305, 7.6305, 7.6305, 7.6305, 7.6305, 7.6303, 7.6311, 7.6311, 7.6311, 7.6311, 7.6311, 7.6311, 7.6308, 7.6308, 7.6306, 7.6293, 7.6305, 7.6303, 7.6292, 7.629, 7.6288, 7.6286, 7.6275, 7.6261, 7.6259, 7.6259, 7.626, 7.6254, 7.6253, 7.6249, 7.6248, 7.629, 7.629, 7.6287, 7.6285, 7.6283, 7.6283, 7.6281, 7.628, 7.6278, 7.6278, 7.629, 7.6276, 7.6272, 7.627, 7.6268, 7.6266, 7.6265, 7.6263, 7.6261, 7.626, 7.6259, 7.6259, 7.6261, 7.6261, 7.6261, 7.6259, 7.6263, 7.6262, 7.6262, 7.626, 7.6257, 7.6257, 7.6256, 7.6256, 7.6256, 7.6244, 7.6242, 7.6242, 7.6242, 7.6242, 7.6242, 7.6239, 7.623, 7.623, 7.623, 7.6229, 7.6229, 7.6228, 7.623, 7.6229, 7.6229, 7.6394, 7.6413, 7.6416, 7.6416, 7.6413, 7.6411, 7.6399, 7.6398, 7.6399, 7.6419, 7.6406, 7.6405, 7.6404, 7.6402, 7.64, 7.6398, 7.6399, 7.6397, 7.6395, 7.6404, 7.6417, 7.6404, 7.6403, 7.6403, 7.6401, 7.6399, 7.6391, 7.6389, 7.6375, 7.638, 7.6375, 7.6373, 7.637, 7.6368, 7.6367, 7.6377, 7.6375, 7.6395, 7.6393, 7.6378, 7.638, 7.638, 7.6378, 7.6382, 7.638, 7.6379, 7.6414, 7.6414, 7.6411, 7.641, 7.6407, 7.6405, 7.6404, 7.6403, 7.6402, 7.6401, 7.6411, 7.6408, 7.6405, 7.6402, 7.6401, 7.6401, 7.64, 7.6399, 7.6398, 7.6397, 7.6398, 7.6399, 7.6399, 7.6396, 7.6395, 7.6394, 7.6393, 7.6422, 7.6534, 7.6531, 7.666, 7.6698, 7.6683, 7.668, 7.6669, 7.6656, 7.665, 7.6648, 7.6649, 7.6636, 7.6634, 7.6633, 7.662, 7.6626, 7.663, 7.6629, 7.6636, 7.6622, 7.661, 7.6609, 7.6609, 7.6608, 7.6607, 7.6604, 7.6612, 7.6614, 7.6609, 7.6611, 7.6613, 7.6598, 7.6596, 7.6607, 7.6605, 7.6604, 7.6603, 7.6603, 7.66, 7.6586, 7.6574, 7.6573, 7.6572, 7.657, 7.6557, 7.6543, 7.6528, 7.6526, 7.6523, 7.653, 7.6517, 7.6516, 7.6514, 7.6506, 7.6493, 7.6491, 7.649, 7.649, 7.649, 7.6491, 7.6489, 7.6489, 7.6488, 7.6488, 7.6486, 7.6484, 7.6483, 7.6482, 7.6468, 7.6472, 7.6471, 7.646, 7.6457, 7.6444, 7.643, 7.6433, 7.6431, 7.6429, 7.6429, 7.6431, 7.6419, 7.6419, 7.6418, 7.6418, 7.6417, 7.6416, 7.6417, 7.6416, 7.6416, 7.6415, 7.6414, 7.6414, 7.6475, 7.6474, 7.6473, 7.6472, 7.6471, 7.647, 7.647, 7.6479, 7.6468, 7.6456, 7.6442, 7.6441, 7.644, 7.6444, 7.6443, 7.6442, 7.6439, 7.6436, 7.6435, 7.6432, 7.6431, 7.6431, 7.643, 7.6434, 7.6422, 7.6462, 7.6469, 7.6469, 7.6469, 7.6468, 7.6465, 7.6652, 7.6651, 7.6657, 7.6656, 7.6653, 7.6651, 7.6651, 7.6649, 7.6648, 7.6646, 7.665, 7.6648, 7.6646, 7.6644, 7.6644, 7.6643, 7.6641, 7.6639, 7.6638, 7.6627, 7.6627, 7.6637, 7.6634, 7.6637, 7.664, 7.6641, 7.6641, 7.664, 7.6639, 7.6639, 7.6639, 7.6627, 7.6638, 7.6642, 7.664, 7.6638, 7.6636, 7.6636, 7.6636, 7.6623, 7.6611, 7.661, 7.6609, 7.6613, 7.6611, 7.661, 7.6609, 7.6608, 7.6609, 7.661, 7.6597, 7.6595, 7.6596, 7.6594, 7.6596, 7.6583, 7.6582, 7.6581, 7.6582, 7.6581, 7.658, 7.6578, 7.6577, 7.6576, 7.6577, 7.6576, 7.6577, 7.6579, 7.658, 7.6567, 7.6564, 7.6552, 7.657, 7.6568, 7.6569, 7.6566, 7.6563, 7.6562, 7.6563, 7.6561, 7.6558, 7.6556, 7.6553, 7.6554, 7.6553, 7.6551, 7.655, 7.6547, 7.6546, 7.6543, 7.6539, 7.6532, 7.6532, 7.6531, 7.653, 7.6529, 7.6526, 7.6525, 7.6523, 7.6522, 7.6519, 7.6517, 7.6521, 7.652, 7.6521, 7.6521, 7.6508, 7.6507, 7.6506, 7.6505, 7.6504, 7.6494, 7.6484, 7.649, 7.6479, 7.6485, 7.6489, 7.6482, 7.6483, 7.6482, 7.648, 7.6478, 7.6476, 7.6475, 7.6462, 7.6458, 7.6445, 7.6442, 7.6442, 7.643, 7.6432, 7.6433, 7.6431, 7.6429, 7.6429, 7.6427, 7.6427, 7.6427, 7.6428, 7.6428, 7.6426, 7.6432, 7.6431, 7.643, 7.6431, 7.6438, 7.6437, 7.6436, 7.6435, 7.6433, 7.6432, 7.643, 7.6439, 7.6439, 7.6439, 7.6438, 7.6436, 7.6439, 7.6426, 7.6413, 7.6414, 7.6412, 7.6412, 7.6412, 7.6411, 7.641, 7.641, 7.641, 7.641, 7.6401, 7.6401, 7.6389, 7.6378, 7.6377, 7.6377, 7.638, 7.6368, 7.6367, 7.6366, 7.6355, 7.6357, 7.6355, 7.6352, 7.6351, 7.6353, 7.6356, 7.6359, 7.6358, 7.6358, 7.6357, 7.6356, 7.6356, 7.6356, 7.6356, 7.6354, 7.6354, 7.6354, 7.6342, 7.6347, 7.635, 7.6348, 7.6346, 7.6346, 7.6344, 7.6346, 7.6344, 7.6333, 7.6332, 7.633, 7.633, 7.633, 7.6328, 7.6328, 7.6328, 7.6328, 7.6326, 7.6337, 7.6336, 7.6337, 7.6338, 7.634, 7.6339, 7.6339, 7.6337, 7.6337, 7.6337, 7.6335, 7.6335, 7.6333, 7.6335, 7.6333, 7.6322, 7.6331, 7.6353, 7.6352, 7.6352, 7.6359, 7.6361, 7.6358, 7.6359, 7.6358, 7.6357, 7.6356, 7.6355, 7.6354, 7.6353, 7.6354, 7.6352, 7.6352, 7.6353, 7.6352, 7.6349, 7.6347, 7.6335, 7.6333, 7.6333, 7.6331, 7.633, 7.6337, 7.6335, 7.6333, 7.6331, 7.6329, 7.6329, 7.6328, 7.6325, 7.6323, 7.632, 7.632, 7.6321, 7.6319, 7.6319, 7.6324, 7.6394, 7.6393, 7.6428, 7.6427, 7.6426, 7.6423, 7.6423, 7.6422, 7.6422, 7.6421, 7.6423, 7.6423, 7.6411, 7.641, 7.6409, 7.6408, 7.6396, 7.6387, 7.6389, 7.6388, 7.6375, 7.6363, 7.6417, 7.6415, 7.6415, 7.6413, 7.6413, 7.6412, 7.641, 7.6408, 7.6408, 7.6408, 7.6408, 7.6406, 7.6406, 7.6404, 7.6405, 7.6408, 7.6408, 7.6407, 7.6406, 7.6405, 7.6402, 7.64, 7.6414, 7.6413, 7.6413, 7.6413, 7.6411, 7.6409, 7.64, 7.6388, 7.6388, 7.6388, 7.6388, 7.6388, 7.6388, 7.639, 7.6392, 7.6392, 7.6392, 7.639, 7.6388, 7.639, 7.6378, 7.6366, 7.6364, 7.6365, 7.6365, 7.6368, 7.6368, 7.6366, 7.6366, 7.6355, 7.6354, 7.6351, 7.6351, 7.6351, 7.6339, 7.6328, 7.6327, 7.6327, 7.6327, 7.6326, 7.6326, 7.6324, 7.6324, 7.6323, 7.6322, 7.6321, 7.632, 7.6319, 7.632, 7.6319, 7.6307, 7.6316, 7.6315, 7.6314, 7.6313, 7.6315, 7.6314, 7.6313, 7.6312, 7.6311, 7.6313, 7.6312, 7.63, 7.6288, 7.6287, 7.6286, 7.6285, 7.6284, 7.6286, 7.6285, 7.6284, 7.6283, 7.6282, 7.6284, 7.6283, 7.6283, 7.6289, 7.6287, 7.6294, 7.6287, 7.6275, 7.6285, 7.6292, 7.6281, 7.6282, 7.6281, 7.628, 7.6279, 7.6278, 7.6277, 7.6276, 7.6277, 7.6274, 7.6273, 7.6271, 7.627, 7.6269, 7.6269, 7.6287, 7.6285, 7.6282, 7.6295, 7.6285, 7.6288, 7.6287, 7.6276, 7.629, 7.6285, 7.6285, 7.6285, 7.6288, 7.6288, 7.6289, 7.6288, 7.6288, 7.6286, 7.6274, 7.6263, 7.6261, 7.626, 7.6249, 7.6249, 7.6247, 7.6235, 7.6236, 7.6234, 7.6233, 7.6223, 7.6224, 7.6222, 7.6221, 7.622, 7.6218, 7.6216, 7.6215, 7.6213, 7.6212, 7.621, 7.6198, 7.6186, 7.6194, 7.62, 7.6208, 7.62, 7.6196, 7.6184, 7.6173, 7.6171, 7.617, 7.616, 7.6159, 7.616, 7.616, 7.6161, 7.616, 7.6159, 7.6159, 7.6157, 7.6157, 7.6162, 7.6151, 7.614, 7.614, 7.6129, 7.613, 7.6128, 7.6126, 7.6115, 7.6103, 7.6101, 7.6101, 7.6101, 7.6099, 7.6089, 7.6078, 7.6078, 7.6087, 7.6089, 7.609, 7.6078, 7.6069, 7.6069, 7.6068, 7.6057, 7.6056, 7.6056, 7.6056, 7.6054, 7.6052, 7.6052, 7.605, 7.605, 7.6048, 7.605, 7.6058, 7.6055, 7.6055, 7.6054, 7.6053, 7.6062, 7.6052, 7.605, 7.6048, 7.6048, 7.6048, 7.6047, 7.6045, 7.6044, 7.6043, 7.6042, 7.6041, 7.6041, 7.6046, 7.6046, 7.6052, 7.6051, 7.605, 7.604, 7.603, 7.6029, 7.6027, 7.6025, 7.6024, 7.6023, 7.6022, 7.603, 7.6019, 7.6018, 7.6017, 7.6037, 7.6048, 7.6046, 7.6044, 7.6046, 7.6045, 7.6035, 7.6038, 7.6039, 7.6038, 7.604, 7.6039, 7.6041, 7.604, 7.6038, 7.6037, 7.6035, 7.6024, 7.6034, 7.6045, 7.6044, 7.6043, 7.6042, 7.6041, 7.6041, 7.604, 7.6029, 7.6018, 7.6017, 7.6016, 7.6015, 7.6014, 7.6014, 7.6002, 7.6003, 7.6002, 7.6001, 7.6, 7.5998, 7.5987, 7.5975, 7.5973, 7.5971, 7.5972, 7.5971, 7.5972, 7.5971, 7.5968, 7.5966, 7.5964, 7.5962, 7.5964, 7.5965, 7.5964, 7.5963, 7.5962, 7.5963, 7.5966, 7.5954, 7.5942, 7.594, 7.594, 7.5938, 7.5938, 7.5927, 7.5916, 7.5917, 7.5916, 7.5915, 7.5918, 7.5927, 7.5926, 7.5924, 7.5923, 7.5924, 7.5923, 7.5922, 7.5921, 7.592, 7.5919, 7.5919, 7.5918, 7.5922, 7.5922, 7.5911, 7.591, 7.591, 7.5909, 7.5907, 7.5906, 7.5895, 7.5894, 7.5892, 7.5882, 7.5872, 7.587, 7.5868, 7.5867, 7.5867, 7.5866, 7.5858, 7.5847, 7.5846, 7.5848, 7.5847, 7.5846, 7.5847, 7.5847, 7.5847, 7.5846, 7.5846, 7.5835, 7.584, 7.586, 7.5849, 7.5837, 7.5839, 7.5838, 7.5828, 7.5827, 7.5826, 7.5831, 7.583, 7.5831, 7.5848, 7.5847, 7.5855, 7.5857, 7.5892, 7.5892, 7.5892, 7.5891, 7.5893, 7.5894, 7.5892, 7.5889, 7.5887, 7.5886, 7.5884, 7.5883, 7.5881, 7.588, 7.6018, 7.6016, 7.6015, 7.6013, 7.6012, 7.6019, 7.6018, 7.6016, 7.6015, 7.6014, 7.6013, 7.6012, 7.6011, 7.601, 7.6007, 7.6006, 7.6005, 7.6003, 7.6002, 7.6001, 7.6001, 7.6003, 7.6007, 7.6002, 7.5994, 7.5983, 7.5981, 7.5981, 7.598, 7.5979, 7.5977, 7.5975, 7.5965, 7.5954, 7.5954, 7.5953, 7.5952, 7.595, 7.5955, 7.5953, 7.5952, 7.5951, 7.5948, 7.5949, 7.5948, 7.5946, 7.5944, 7.5944, 7.5944, 7.5933, 7.5922, 7.592, 7.5919, 7.5918, 7.5918, 7.5918, 7.5918, 7.5919, 7.5919, 7.5919, 7.5919, 7.592, 7.5913, 7.5902, 7.5902, 7.5892, 7.5892, 7.5901, 7.59, 7.5899, 7.5899, 7.591, 7.5908, 7.5908, 7.5908, 7.5906, 7.5906, 7.5906, 7.5906, 7.5896, 7.5896, 7.5895, 7.5893, 7.5884, 7.5885, 7.5884, 7.5885, 7.5884, 7.5904, 7.5893, 7.5883, 7.5884, 7.5894, 7.5907, 7.5897, 7.5898, 7.5898, 7.5897, 7.5896, 7.5896, 7.5895, 7.5894, 7.5897, 7.5897, 7.5898, 7.5898, 7.5897, 7.5896, 7.5894, 7.5894, 7.5892, 7.589, 7.589, 7.5888, 7.5888, 7.5888, 7.5888, 7.5887, 7.5875, 7.5915, 7.5915, 7.5915, 7.5917, 7.5914, 7.5912, 7.5911, 7.5911, 7.5912, 7.5912, 7.591, 7.591, 7.591, 7.591, 7.591, 7.5909, 7.591, 7.59, 7.589, 7.5888, 7.5887, 7.5884, 7.5883, 7.5874, 7.5872, 7.5871, 7.587, 7.5871, 7.5872, 7.5871, 7.587, 7.5869, 7.5869, 7.5868, 7.5867, 7.5866, 7.5866, 7.5869, 7.5869, 7.5858, 7.5848, 7.5847, 7.5846, 7.5847, 7.5846, 7.5845, 7.5846, 7.5836, 7.5825, 7.5827, 7.5826, 7.5837, 7.5829, 7.5829, 7.5819, 7.5819, 7.582, 7.582, 7.582, 7.5823, 7.5825, 7.5824, 7.5823, 7.5812, 7.5824, 7.5831, 7.5832, 7.5831, 7.583, 7.5829, 7.5828, 7.5825, 7.5824, 7.5824, 7.5854, 7.5864, 7.5947, 7.5965, 7.5964, 7.5955, 7.5946, 7.5945, 7.5949, 7.5941, 7.5948, 7.5954, 7.5953, 7.5952, 7.5951, 7.5951, 7.5951, 7.5952, 7.5952, 7.5951, 7.5949, 7.5948, 7.5948, 7.5947, 7.5946, 7.5945, 7.5945, 7.5948, 7.594, 7.5939, 7.5943, 7.5934, 7.5933, 7.5932, 7.593, 7.592, 7.591, 7.5909, 7.5909, 7.5909, 7.5898, 7.5888, 7.5878, 7.5878, 7.5877, 7.5879, 7.5877, 7.5877, 7.5881, 7.5889, 7.5891, 7.5891, 7.5881, 7.5877, 7.6242, 7.6242, 7.6234, 7.6233, 7.6234, 7.6232, 7.6231, 7.623, 7.6228, 7.6217, 7.6206, 7.6197, 7.6198, 7.6199, 7.6198, 7.6197, 7.6196, 7.6198, 7.6188, 7.6189, 7.6188, 7.6178, 7.6178, 7.6177, 7.6168, 7.6158, 7.6159, 7.616, 7.6159, 7.6158, 7.6156, 7.6154, 7.6154, 7.6153, 7.6152, 7.6151, 7.6149, 7.6148, 7.6147, 7.6145, 7.6152, 7.6154, 7.6155, 7.6155, 7.6154, 7.6154, 7.6153, 7.6151, 7.615, 7.614, 7.6129, 7.6127, 7.6127, 7.6126, 7.6125, 7.6126, 7.6125, 7.613, 7.6131, 7.6131, 7.6131, 7.6121, 7.6156, 7.6147, 7.6147, 7.6146, 7.6145, 7.6144, 7.6144, 7.6144, 7.6143, 7.6143, 7.6142, 7.6141, 7.6143, 7.6143, 7.6142, 7.6132, 7.6122, 7.6123, 7.6122, 7.6121, 7.6123, 7.6114, 7.6108, 7.6156, 7.6155, 7.6149, 7.6139, 7.6138, 7.6127, 7.6116, 7.6105, 7.6104, 7.6107, 7.6106, 7.6095, 7.6092, 7.6091, 7.609, 7.6089, 7.6089, 7.6088, 7.6078, 7.6068, 7.6067, 7.6066, 7.6065, 7.6066, 7.6066, 7.6066, 7.6066, 7.6066, 7.6068, 7.6068, 7.6058, 7.6049, 7.605, 7.6049, 7.6054, 7.6044, 7.6045, 7.6045, 7.6045, 7.6035, 7.6034, 7.6034, 7.6034, 7.6026, 7.6026, 7.6027, 7.6026, 7.6022, 7.6021, 7.6034, 7.6027, 7.6017, 7.6018, 7.6058, 7.6067, 7.6067, 7.6066, 7.6058, 7.6061, 7.605, 7.6049, 7.6047, 7.6047, 7.6045, 7.6044, 7.6043, 7.604, 7.604, 7.6039, 7.6038, 7.6036, 7.6035, 7.6025, 7.6024, 7.6028, 7.6028, 7.6018, 7.6016, 7.6006, 7.6006, 7.6004, 7.6003, 7.6003, 7.6002, 7.6003, 7.6003, 7.6004, 7.6004, 7.6004, 7.6004, 7.6003, 7.6002, 7.6017, 7.6016, 7.6017, 7.6067, 7.6098, 7.6097, 7.6087, 7.6077, 7.6077, 7.6077, 7.6076, 7.6075, 7.6074, 7.6074, 7.6073, 7.6063, 7.6062, 7.6061, 7.6061, 7.6061, 7.605, 7.604, 7.6042, 7.6045, 7.6052, 7.6061, 7.606, 7.6065, 7.6063, 7.6054, 7.6053, 7.6063, 7.6064, 7.607, 7.6068, 7.6068, 7.6066, 7.6065, 7.6064, 7.6063, 7.6062, 7.6062, 7.6062, 7.6061, 7.606, 7.6058, 7.605, 7.6051, 7.6055, 7.6058, 7.6057, 7.6057, 7.6057, 7.6055, 7.6054, 7.6053, 7.6053, 7.6053, 7.6053, 7.6054, 7.6053, 7.6052, 7.6042, 7.6032, 7.6031, 7.6031, 7.603, 7.6029, 7.6024, 7.6044, 7.6044, 7.6044, 7.6043, 7.6042, 7.6042, 7.6041, 7.604, 7.6039, 7.6039, 7.6039, 7.6029, 7.6034, 7.6035, 7.6034, 7.6032, 7.6022, 7.6025, 7.6028, 7.6032, 7.6033, 7.6032, 7.6031, 7.603, 7.602, 7.6019, 7.6019, 7.6019, 7.602, 7.602, 7.6014, 7.6016, 7.6016, 7.6017, 7.6016, 7.6016, 7.6015, 7.6005, 7.5995, 7.5992, 7.5991, 7.5991, 7.599, 7.5992, 7.5991, 7.5993, 7.6034, 7.6034, 7.6023, 7.6013, 7.6012, 7.6009, 7.6008, 7.6007, 7.6006, 7.6006, 7.6005, 7.6005, 7.6007, 7.6006, 7.6007, 7.6004, 7.6003, 7.6003, 7.6002, 7.6001, 7.6002, 7.6002, 7.6002, 7.6002, 7.6002, 7.6002, 7.6002, 7.6001, 7.5999, 7.5998, 7.5996, 7.5996, 7.5998, 7.5997, 7.5996, 7.6, 7.6, 7.5991, 7.5983, 7.5983, 7.5983, 7.5972, 7.5963, 7.5968, 7.5964, 7.5965, 7.5955, 7.5954, 7.5958, 7.595, 7.5949, 7.5949, 7.5947, 7.5947, 7.5947, 7.5945, 7.5945, 7.5947, 7.5947, 7.5947, 7.5947, 7.5947, 7.5947, 7.5947, 7.5947, 7.5951, 7.5955, 7.5959, 7.596, 7.596, 7.595, 7.5939, 7.5939, 7.5939, 7.594, 7.5939, 7.5941, 7.594, 7.5938, 7.5937, 7.5938, 7.5938, 7.5939, 7.593, 7.593, 7.593, 7.5929, 7.5928, 7.5929, 7.5919, 7.5909, 7.5908, 7.5907, 7.5906, 7.5905, 7.5897, 7.5887, 7.5885, 7.5884, 7.5884, 7.5883, 7.5876, 7.5879, 7.5879, 7.5879, 7.5879, 7.588, 7.588, 7.5879, 7.5878, 7.588, 7.5879, 7.5878, 7.5877, 7.5876, 7.5875, 7.5875, 7.5874, 7.5873, 7.5873, 7.5873, 7.5873, 7.5873, 7.5872, 7.5872, 7.5871, 7.5871, 7.5862, 7.5865, 7.5856, 7.5855, 7.5854, 7.5856, 7.5846, 7.5845, 7.5844, 7.5836, 7.5835, 7.5834, 7.5824, 7.5829, 7.5828, 7.5826, 7.5825, 7.5826, 7.5825, 7.5826, 7.5826, 7.5826, 7.5827, 7.5827, 7.5827, 7.5828, 7.5828, 7.5828, 7.583, 7.583, 7.5828, 7.5828, 7.5826, 7.5826, 7.5826, 7.5824, 7.5824, 7.5824, 7.5822, 7.5823, 7.5822, 7.5821, 7.582, 7.5819, 7.5818, 7.5816, 7.5815, 7.5814, 7.5814, 7.5814, 7.5806, 7.5797, 7.5796, 7.5795, 7.5786, 7.5776, 7.5776, 7.5767, 7.5776, 7.5778, 7.5778, 7.5778, 7.5778, 7.5779, 7.5779, 7.5779, 7.5779, 7.5779, 7.5779, 7.5779, 7.5779, 7.5779, 7.5778, 7.5779, 7.578, 7.578, 7.5783, 7.5783, 7.5782, 7.5781, 7.578, 7.578, 7.5779, 7.5782, 7.5781, 7.5781, 7.5781, 7.578, 7.5779, 7.5778, 7.5778, 7.5777, 7.5777, 7.5777, 7.5776, 7.5766, 7.5771, 7.577, 7.5768, 7.5767, 7.5766, 7.5765, 7.5763, 7.5762, 7.5762, 7.5761, 7.576, 7.576, 7.5759, 7.5758, 7.5757, 7.5756, 7.5756, 7.5755, 7.5754, 7.5754, 7.5753, 7.5752, 7.5753, 7.5753, 7.5752, 7.575, 7.5749, 7.5751, 7.5751, 7.575, 7.5742, 7.5733, 7.5737, 7.5736, 7.5726, 7.5716, 7.572, 7.5719, 7.571, 7.5702, 7.5699, 7.5706, 7.5705, 7.5706, 7.5705, 7.5704, 7.5704, 7.5703, 7.5704, 7.5704, 7.5704, 7.5704, 7.5703, 7.5701, 7.5701, 7.5699, 7.5699, 7.57, 7.57, 7.57, 7.5699, 7.5699, 7.5698, 7.5696, 7.5695, 7.5695, 7.5695, 7.5695, 7.5695, 7.5699, 7.5699, 7.5699, 7.5697, 7.5697, 7.5698, 7.5699, 7.569, 7.5696, 7.5697, 7.5696, 7.5694, 7.5694, 7.5685, 7.5676, 7.5669, 7.5668, 7.5659, 7.5653, 7.5653, 7.5653, 7.5652, 7.5652, 7.5652, 7.5652, 7.5651, 7.5651, 7.565, 7.5649, 7.5648, 7.5648, 7.5647, 7.5647, 7.5647, 7.5638, 7.5629, 7.5628, 7.5628, 7.5628, 7.5628, 7.5629, 7.5626, 7.5626, 7.5627, 7.5625, 7.5625, 7.5626, 7.5625, 7.5624, 7.5624, 7.5616, 7.5621, 7.5613, 7.5612, 7.5602, 7.5595, 7.5595, 7.5595, 7.5597, 7.5598, 7.5598, 7.5598, 7.5598, 7.5598, 7.5597, 7.5596, 7.5596, 7.5596, 7.5596, 7.5595, 7.5595, 7.5593, 7.5593, 7.5583, 7.5584, 7.5576, 7.5576, 7.5576, 7.5576, 7.5577, 7.5579, 7.5583, 7.5583, 7.5586, 7.5586, 7.5578, 7.558, 7.5584, 7.5583, 7.5583, 7.5611, 7.5605, 7.5604, 7.5603, 7.5603, 7.5602, 7.5601, 7.5599, 7.5598, 7.5597, 7.5596, 7.5597, 7.5597, 7.5596, 7.5595, 7.5595, 7.5595, 7.5594, 7.5593, 7.5593, 7.5592, 7.559, 7.5589, 7.5587, 7.5593, 7.5592, 7.5593, 7.5593, 7.5592, 7.5592, 7.5591, 7.559, 7.5589, 7.5587, 7.5586, 7.5587, 7.5579, 7.5584, 7.5583, 7.5586, 7.5576, 7.5576, 7.5568, 7.5559, 7.5558, 7.5557, 7.5557, 7.5555, 7.5555, 7.5554, 7.5553, 7.5552, 7.555, 7.555, 7.5549, 7.5555, 7.5554, 7.5552, 7.5551, 7.555, 7.5549, 7.5548, 7.5547, 7.5546, 7.5545, 7.5544, 7.5543, 7.5542, 7.5541, 7.554, 7.5539, 7.5538, 7.5537, 7.5535, 7.5533, 7.5532, 7.5531, 7.553, 7.554, 7.5565, 7.5565, 7.5565, 7.5564, 7.5563, 7.5562, 7.5561, 7.5561, 7.556, 7.5558, 7.5559, 7.5558, 7.5558, 7.5556, 7.5555, 7.5554, 7.5555, 7.5554, 7.5552, 7.5551, 7.5549, 7.5549, 7.5549, 7.5547, 7.5546, 7.5545, 7.5547, 7.5545, 7.5544, 7.5544, 7.5543, 7.5542, 7.5541, 7.554, 7.5539, 7.5539, 7.5539, 7.5538, 7.5537, 7.5536, 7.5534, 7.5532, 7.5531, 7.553, 7.5528, 7.5527, 7.5527, 7.5531, 7.5538, 7.553, 7.5528, 7.5529, 7.5528, 7.5526, 7.5524, 7.5523, 7.5521, 7.5519, 7.5518, 7.5517, 7.5515, 7.5514, 7.5513, 7.5512, 7.551, 7.5508, 7.5507, 7.5506, 7.5506, 7.5506, 7.5504, 7.5504, 7.5503, 7.5502, 7.5512, 7.5512, 7.5512, 7.5512, 7.5512, 7.551, 7.5507, 7.5506, 7.5504, 7.5503, 7.5502, 7.5501, 7.55, 7.5499, 7.5499, 7.55, 7.5499, 7.5498, 7.5497, 7.5496, 7.5496, 7.5495, 7.5494, 7.5494, 7.5493, 7.5492, 7.5492, 7.5491, 7.549, 7.549, 7.5489, 7.5488, 7.548, 7.5476, 7.5476, 7.5476, 7.5475, 7.5474, 7.5473, 7.5477, 7.5476, 7.5475, 7.5475, 7.5474, 7.5473, 7.5472, 7.5471, 7.5469, 7.5468, 7.5469, 7.5469, 7.5468, 7.5467, 7.5466, 7.5465, 7.5464, 7.5462, 7.5461, 7.5462, 7.5462, 7.5461, 7.546, 7.5459, 7.546, 7.5458, 7.5456, 7.5455, 7.5454, 7.5468, 7.5478, 7.5478, 7.5478, 7.5478, 7.5478, 7.5476, 7.5476, 7.5483, 7.5481, 7.5481, 7.5479, 7.5477, 7.5477, 7.5477, 7.5476, 7.5475, 7.5474, 7.5474, 7.5473, 7.5471, 7.5471, 7.5469, 7.5468, 7.5466, 7.5466, 7.5466, 7.5464, 7.5464, 7.5469, 7.5478, 7.5478, 7.5476, 7.5476, 7.5476, 7.5474, 7.5474, 7.5474, 7.5474, 7.5472, 7.5472, 7.5472, 7.5472, 7.5472, 7.5472, 7.5472, 7.5472, 7.5487, 7.5496, 7.5496, 7.5496, 7.5496, 7.5503, 7.5503, 7.5503, 7.5503, 7.5503, 7.5502, 7.55, 7.5499, 7.5529, 7.5527, 7.5533, 7.5532, 7.5531, 7.553, 7.5529, 7.5529, 7.5533, 7.5533, 7.5525, 7.5524, 7.5523, 7.5522, 7.5521, 7.5519, 7.5518, 7.5517, 7.5516, 7.5515, 7.5515, 7.5514, 7.5512, 7.5512, 7.5511, 7.551, 7.5509, 7.5508, 7.5508, 7.5507, 7.5506, 7.5511, 7.5511, 7.5511, 7.551, 7.551, 7.551, 7.551, 7.551, 7.551, 7.551, 7.5509, 7.5508, 7.5507, 7.5517, 7.5521, 7.5527, 7.5519, 7.552, 7.5575, 7.5574, 7.5574, 7.5574, 7.5573, 7.5573, 7.5572, 7.5571, 7.557, 7.5571, 7.557, 7.557, 7.557, 7.5569, 7.5569, 7.5574, 7.5584, 7.5591, 7.559, 7.5589, 7.5589, 7.5601, 7.56, 7.5599, 7.5598, 7.5597, 7.5596, 7.5595, 7.5594, 7.5592, 7.5591, 7.559, 7.5589, 7.5587, 7.5587, 7.5585, 7.5584, 7.5586, 7.5586, 7.5586, 7.5585, 7.5584, 7.5584, 7.5583, 7.5582, 7.5582, 7.5582, 7.5583, 7.5582, 7.558, 7.558, 7.5579, 7.5578, 7.5577, 7.5575, 7.5574, 7.5574, 7.5574, 7.5573, 7.5573, 7.5572, 7.5572, 7.5572, 7.5571, 7.557, 7.557, 7.557, 7.5569, 7.5568, 7.5567, 7.5559, 7.556, 7.556, 7.5552, 7.5552, 7.5553, 7.5554, 7.5554, 7.5554, 7.5553, 7.5554, 7.5554, 7.5554, 7.5554, 7.5554, 7.5553, 7.5553, 7.5554, 7.5554, 7.5553, 7.5552, 7.5551, 7.555, 7.5549, 7.5548, 7.555, 7.5553, 7.5553, 7.5554, 7.5553, 7.5552, 7.5551, 7.555, 7.5551, 7.5555, 7.5556, 7.5555, 7.5555, 7.5554, 7.5555, 7.5555, 7.5554, 7.5554, 7.5554, 7.5554, 7.5554, 7.5554, 7.5555, 7.5555, 7.5554, 7.5553, 7.5552, 7.5551, 7.555, 7.5548, 7.5548, 7.5548, 7.5547, 7.5547, 7.5546, 7.5538, 7.5538, 7.5538, 7.5537, 7.5538, 7.5538, 7.5538, 7.5538, 7.5538, 7.5537, 7.5536, 7.5535, 7.5535, 7.5534, 7.5534, 7.5534, 7.5533, 7.5532, 7.5531, 7.553, 7.553, 7.553, 7.5529, 7.5528, 7.5527, 7.5526, 7.5525, 7.5525, 7.5524, 7.5523, 7.5523, 7.5522, 7.5521, 7.552, 7.5519, 7.5519, 7.5525, 7.5523, 7.5522, 7.5521, 7.552, 7.5519, 7.5518, 7.5517, 7.5516, 7.5515, 7.5515, 7.5514, 7.5513, 7.5513, 7.5513, 7.5511, 7.551, 7.551, 7.5508, 7.5508, 7.5507, 7.5506, 7.5506, 7.5505, 7.5504, 7.5505, 7.5504, 7.5509, 7.551, 7.551, 7.551, 7.5509, 7.5508, 7.5507, 7.5506, 7.5505, 7.5503, 7.5502, 7.5501, 7.55, 7.5499, 7.55, 7.5499, 7.5498, 7.5497, 7.5496, 7.5495, 7.5496, 7.5547, 7.5546, 7.5546, 7.5545, 7.5544, 7.5543, 7.5543, 7.5597, 7.5596, 7.5614, 7.5704, 7.5704, 7.5703, 7.5703, 7.5702, 7.5701, 7.57, 7.5699, 7.5698, 7.5699, 7.5767, 7.5773, 7.5774, 7.5791, 7.5791, 7.579, 7.5858, 7.588, 7.5891, 7.5913, 7.5912, 7.5911], '192.168.122.113': [7.5042, 7.2859, 8.1336, 7.9801, 7.8681, 8.5828, 8.4307, 8.3197, 8.1412, 8.0971, 11.3693, 11.3996, 19.92, 18.9803, 18.3755, 17.6056, 16.959, 16.4222, 15.934, 15.4993, 15.0737, 14.6874, 14.4722, 14.1422, 13.841, 13.5652, 13.328, 13.0885, 12.8643, 12.6554, 12.4575, 12.2911, 12.1202, 11.9552, 11.9573, 11.804, 11.6599, 11.533, 11.3982, 11.3037, 11.1949, 11.0937, 10.9763, 10.8903, 10.8922, 10.8176, 10.7539, 10.77, 10.6894, 10.624, 10.569, 10.4197, 10.3941, 10.4496, 10.5658, 10.6581, 10.5027, 10.3569, 10.2946, 10.1723, 10.0474, 10.0078, 9.9499, 10.0235, 9.9876, 9.9481, 9.9101, 9.8712, 9.8793, 9.8429, 9.7492, 9.7571, 9.7213, 9.7448, 9.8293, 9.8045, 9.7193, 9.6228, 9.5939, 9.5536, 9.5263, 9.4374, 9.3435, 9.3345, 9.3053, 9.2793, 9.1964, 9.116, 9.1122, 9.0901, 9.0106, 8.948, 8.9445, 8.9204, 8.9133, 8.9445, 8.9223, 8.9009, 8.8872, 8.8811, 8.8664, 8.8576, 8.8394, 8.8881, 8.8179, 8.7629, 8.7725, 8.7557, 8.7361, 8.7163, 8.6971, 8.6867, 8.6345, 8.627, 8.6147, 8.6215, 8.6103, 8.5935, 8.582, 8.5758, 8.5597, 8.5488, 8.5381, 8.5321, 8.5214, 8.5527, 8.541, 8.5254, 8.5095, 8.5011, 8.4896, 8.4744, 8.4586, 8.4454, 8.5061, 8.5301, 8.5199, 8.5389, 8.49, 8.4906, 8.4541, 8.4425, 8.4657, 8.4538, 8.4455, 8.5506, 8.5423, 8.5347, 8.5235, 8.5121, 8.52, 8.4769, 8.4738, 8.4631, 8.4243, 8.3909, 8.3777, 8.3739, 8.434, 8.4147, 8.4076, 8.3753, 8.3677, 8.3375, 8.329, 8.3214, 8.3146, 8.32, 8.3531, 8.5103, 8.5096, 8.5808, 8.7187, 8.7135, 8.7015, 8.6951, 8.6878, 8.6502, 8.6427, 8.6368, 8.6003, 8.5933, 8.5877, 8.5753, 8.5687, 8.5642, 8.5575, 8.5481, 8.5434, 8.5345, 8.5288, 8.5201, 8.5111, 8.5049, 8.4961, 8.4873, 8.4807, 8.4594, 8.4582, 8.4306, 8.4272, 8.4227, 8.4142, 8.4326, 8.4285, 8.4188, 8.3871, 8.3586, 8.3495, 8.346, 8.3564, 8.3728, 8.3899, 8.3833, 8.378, 8.3474, 8.331, 8.3262, 8.296, 8.2914, 8.2887, 8.2869, 8.2826, 8.2904, 8.2876, 8.2845, 8.2791, 8.2719, 8.2664, 8.2614, 8.2677, 8.2626, 8.2342, 8.2053, 8.2, 8.1961, 8.1928, 8.1855, 8.1582, 8.1315, 8.1267, 8.1223, 8.1177, 8.1254, 8.1208, 8.1158, 8.0956, 8.073, 8.0762, 8.0722, 8.0682, 8.0642, 8.0619, 8.0554, 8.053, 8.057, 8.0609, 8.055, 8.054, 8.0518, 8.0451, 8.0428, 8.0405, 8.0379, 8.0343, 8.0267, 8.0246, 8.0316, 8.0162, 8.0526, 8.0573, 8.0516, 8.0773, 8.0716, 8.0508, 8.0574, 8.0522, 8.0302, 8.0275, 8.0246, 8.0289, 8.0251, 8.0213, 8.0198, 8.016, 8.0123, 8.0087, 8.0053, 8.0019, 7.9965, 7.9956, 7.9944, 7.9913, 7.9867, 7.9859, 7.983, 7.9823, 7.9815, 7.9803, 7.9756, 7.9745, 7.9716, 7.9709, 7.9717, 7.9531, 7.9342, 7.9323, 7.9304, 7.9276, 7.9285, 7.9322, 7.9164, 7.9143, 7.9122, 7.9102, 7.9134, 7.9134, 7.9133, 7.908, 7.9063, 7.9046, 7.9041, 7.9045, 7.9027, 7.9007, 7.8984, 7.8965, 7.901, 7.901, 7.8981, 7.9043, 7.9305, 7.9274, 7.9268, 7.9528, 7.9498, 7.9549, 7.9353, 7.9371, 7.9389, 7.9373, 7.9378, 7.9334, 7.9456, 7.9254, 7.9215, 7.9198, 7.9026, 7.887, 7.8849, 7.883, 7.8808, 7.8787, 7.8768, 7.8598, 7.8432, 7.8415, 7.8396, 7.8396, 7.8377, 7.8358, 7.8339, 7.8181, 7.817, 7.8045, 7.8345, 8.2635, 8.2612, 8.2576, 8.2404, 8.2417, 8.224, 8.2223, 8.2068, 8.1904, 8.1877, 8.1854, 8.1894, 8.1754, 8.1718, 8.1712, 8.1549, 8.1399, 8.1364, 8.1329, 8.1195, 8.1174, 8.1139, 8.098, 8.0958, 8.095, 8.0795, 8.0784, 8.0773, 8.0734, 8.0602, 8.0567, 8.057, 8.0556, 8.056, 8.0532, 8.0371, 8.0389, 8.0366, 8.0347, 8.0219, 8.0211, 8.0085, 8.0075, 7.9923, 7.9917, 7.992, 7.988, 7.9886, 7.9866, 7.9873, 7.9854, 7.9832, 7.9839, 7.9817, 7.9852, 7.9827, 7.9803, 7.9642, 7.951, 7.9488, 7.95, 7.9476, 7.9453, 7.943, 7.9426, 7.9404, 7.9383, 7.9379, 7.9375, 7.9373, 7.9328, 7.9358, 7.9388, 7.9365, 7.9389, 7.9246, 7.9237, 7.9234, 7.9212, 7.9222, 7.9229, 7.9215, 7.9068, 7.9067, 7.905, 7.9034, 7.9019, 7.8923, 7.8889, 7.8879, 7.8868, 7.8856, 7.8855, 7.8742, 7.8965, 7.8949, 7.8933, 7.8972, 7.8976, 7.896, 7.8943, 7.8935, 7.9137, 7.9132, 7.9103, 7.8981, 7.887, 7.9131, 7.9496, 7.937, 7.9257, 7.9229, 7.922, 7.9218, 7.9271, 7.9268, 7.9165, 7.9039, 7.9011, 7.9011, 7.9001, 7.8874, 7.8869, 7.8781, 7.8767, 7.8774, 7.8757, 7.8645, 7.8607, 7.8636, 7.8596, 7.8617, 7.8869, 7.9055, 7.9032, 7.9182, 7.917, 7.9146, 7.9124, 7.9098, 7.9082, 7.906, 7.904, 7.9018, 7.9009, 7.8995, 7.8975, 7.8973, 7.8972, 7.8961, 7.8941, 7.8931, 7.8953, 7.8964, 7.894, 7.8825, 7.8717, 7.8687, 7.8578, 7.8596, 7.8793, 7.8772, 7.8765, 7.8763, 7.8764, 7.8749, 7.8772, 7.8796, 7.8807, 7.8806, 7.8805, 7.8786, 7.8766, 7.8759, 7.8655, 7.8654, 7.8634, 7.863, 7.8629, 7.8609, 7.8597, 7.8593, 7.859, 7.8603, 7.8628, 7.8747, 7.9169, 7.9177, 7.9161, 7.9149, 7.9144, 7.9036, 7.9432, 7.9474, 7.9466, 7.9443, 7.9425, 7.9488, 7.9481, 7.9452, 7.9754, 7.9741, 7.9728, 7.9715, 7.9693, 7.968, 7.967, 7.9664, 7.9687, 7.9663, 7.9639, 7.9619, 7.9599, 7.9492, 7.9474, 7.9433, 7.9426, 7.9409, 7.94, 7.9617, 7.9521, 7.9536, 7.9518, 7.95, 7.9479, 7.9468, 7.9455, 7.9441, 7.9427, 7.9414, 7.9416, 7.9392, 7.9395, 7.9289, 7.9193, 7.9179, 7.9166, 7.9143, 7.9137, 7.9156, 7.9136, 7.9125, 7.9116, 7.9095, 7.9074, 7.898, 7.8965, 7.9004, 7.8912, 7.8896, 7.8941, 7.9211, 7.9642, 7.9624, 7.9598, 7.9572, 7.9553, 7.954, 7.9547, 7.9631, 7.9621, 7.9532, 7.9516, 7.9498, 7.9498, 7.9489, 7.9476, 7.9443, 7.9424, 7.9405, 7.9386, 7.9375, 7.9365, 7.929, 7.9577, 7.9582, 7.9628, 7.9692, 7.9759, 7.976, 7.975, 7.9737, 7.9721, 7.9707, 7.9708, 7.9706, 7.9705, 7.9693, 7.9679, 7.9666, 7.9645, 7.965, 7.9642, 7.9634, 7.9613, 7.9632, 7.9546, 7.9474, 7.9453, 7.9449, 7.9444, 7.9428, 7.9412, 7.9397, 7.9427, 7.9424, 7.9358, 7.9776, 7.9798, 7.9708, 7.9693, 7.9669, 7.9673, 7.9579, 7.9555, 7.954, 7.9527, 7.9514, 7.95, 7.9476, 7.9473, 7.9475, 7.9461, 7.9439, 7.9424, 7.9408, 7.9395, 7.9305, 7.9318, 7.9314, 7.931, 7.9306, 7.9283, 7.9272, 7.9259, 7.9643, 7.968, 7.9659, 7.9579, 7.9602, 7.9579, 7.9571, 7.9795, 7.9776, 7.9769, 7.9688, 7.9611, 7.9601, 7.9592, 7.9766, 7.9677, 7.9672, 7.9663, 7.9575, 7.9559, 7.9478, 7.9453, 7.9391, 7.9313, 7.9306, 7.9278, 7.9278, 7.9271, 7.9243, 7.9268, 7.9374, 7.9301, 7.9291, 7.9279, 7.9263, 7.9241, 7.924, 7.9218, 7.9144, 7.9071, 7.9057, 7.9053, 7.8978, 7.8922, 7.8907, 7.8952, 7.8972, 7.8958, 7.8948, 7.8955, 7.8889, 7.8914, 7.891, 7.8896, 7.8887, 7.8878, 7.887, 7.8866, 7.892, 7.8909, 7.89, 7.8891, 7.8873, 7.8868, 7.89, 7.8896, 7.8887, 7.8885, 7.8872, 7.8856, 7.8825, 7.8808, 7.879, 7.8767, 7.875, 7.8747, 7.8732, 7.8723, 7.8713, 7.8697, 7.8687, 7.8677, 7.8675, 7.8679, 7.8702, 7.8686, 7.8677, 7.86, 7.853, 7.8592, 7.8571, 7.8561, 7.856, 7.8554, 7.8541, 7.8541, 7.8536, 7.8524, 7.8511, 7.8505, 7.8499, 7.8542, 7.8538, 7.8512, 7.8509, 7.856, 7.8549, 7.8544, 7.8532, 7.8559, 7.8546, 7.8535, 7.8522, 7.8516, 7.8503, 7.8431, 7.8359, 7.8367, 7.8355, 7.8349, 7.8344, 7.8339, 7.8271, 7.8197, 7.8193, 7.8172, 7.8104, 7.8036, 7.8057, 7.8055, 7.8043, 7.8032, 7.8029, 7.803, 7.8017, 7.807, 7.8059, 7.8061, 7.8063, 7.8051, 7.8039, 7.805, 7.8051, 7.804, 7.8029, 7.8018, 7.8006, 7.8007, 7.8009, 7.8011, 7.8001, 7.7997, 7.7992, 7.7978, 7.7964, 7.7962, 7.7893, 7.7836, 7.7817, 7.7811, 7.7805, 7.7817, 7.7814, 7.7808, 7.78, 7.7793, 7.7797, 7.7794, 7.7787, 7.778, 7.7775, 7.779, 7.7726, 7.772, 7.7652, 7.7676, 7.7738, 7.7738, 7.7741, 7.7854, 7.7851, 7.7914, 7.7908, 7.7902, 7.7896, 7.7891, 7.7885, 7.7901, 7.7833, 7.7827, 7.7762, 7.7712, 7.7676, 7.7664, 7.7655, 7.7695, 7.7699, 7.7685, 7.7974, 7.7963, 7.7961, 7.7957, 7.7951, 7.7957, 7.7951, 7.7946, 7.7944, 7.7942, 7.7941, 7.7877, 7.7814, 7.7807, 7.78, 7.7793, 7.7796, 7.779, 7.7783, 7.7786, 7.7768, 7.7761, 7.7761, 7.7758, 7.7757, 7.7756, 7.7738, 7.7729, 8.2734, 8.2718, 8.2806, 8.2807, 8.2802, 8.2795, 8.285, 8.2781, 8.2826, 8.2779, 8.2767, 8.2757, 8.2745, 8.2828, 8.2817, 8.2807, 8.28, 8.2797, 8.2797, 8.2776, 8.2767, 8.291, 8.2899, 8.2888, 8.2875, 8.2861, 8.2847, 8.2839, 8.2827, 8.276, 8.269, 8.2627, 8.2614, 8.2601, 8.2587, 8.2573, 8.2593, 8.2524, 8.2561, 8.258, 8.2575, 8.256, 8.2555, 8.2488, 8.2438, 8.2384, 8.2315, 8.2305, 8.2341, 8.2337, 8.2333, 8.232, 8.2308, 8.2303, 8.2291, 8.2278, 8.2267, 8.2256, 8.2245, 8.2235, 8.2226, 8.2216, 8.2206, 8.2197, 8.2188, 8.218, 8.2116, 8.2056, 8.2033, 8.2025, 8.2025, 8.2021, 8.2007, 8.1998, 8.1989, 8.198, 8.1979, 8.197, 8.1955, 8.1951, 8.1935, 8.1919, 8.1907, 8.1921, 8.1918, 8.1921, 8.193, 8.1924, 8.1918, 8.1914, 8.1858, 8.1803, 8.1798, 8.1791, 8.1739, 8.1671, 8.1663, 8.1601, 8.1543, 8.1537, 8.1557, 8.1528, 8.1717, 8.1699, 8.194, 8.1921, 8.1879, 8.1825, 8.1812, 8.1748, 8.1688, 8.1743, 8.1739, 8.1731, 8.1744, 8.1757, 8.2177, 8.2163, 8.2175, 8.2166, 8.2151, 8.2148, 8.2134, 8.212, 8.2711, 8.2697, 8.2692, 8.2678, 8.2706, 8.2691, 8.2756, 8.2791, 8.2773, 8.2754, 8.2739, 8.2683, 8.2674, 8.2619, 8.2635, 8.2646, 8.2636, 8.2648, 8.2647, 8.2643, 8.2634, 8.2668, 8.2752, 8.2781, 8.2771, 8.2718, 8.2738, 8.268, 8.2662, 8.2604, 8.2594, 8.2626, 8.2616, 8.2605, 8.2597, 8.2581, 8.2577, 8.252, 8.2467, 8.2409, 8.2354, 8.2295, 8.2292, 8.2277, 8.2272, 8.227, 8.2268, 8.2255, 8.2246, 8.2239, 8.2227, 8.2229, 8.222, 8.2215, 8.2199, 8.2137, 8.2128, 8.2117, 8.2059, 8.2003, 8.1993, 8.1936, 8.1901, 8.1895, 8.1975, 8.1965, 8.1961, 8.195, 8.1947, 8.1943, 8.1932, 8.188, 8.1834, 8.1832, 8.1928, 8.1915, 8.1909, 8.1903, 8.1909, 8.1903, 8.1898, 8.1891, 8.1834, 8.1788, 8.1787, 8.1791, 8.1784, 8.1777, 8.1773, 8.1774, 8.1761, 8.1755, 8.1743, 8.1737, 8.1731, 8.1762, 8.1749, 8.175, 8.1735, 8.1724, 8.1712, 8.17, 8.1701, 8.1696, 8.1687, 8.1678, 8.1669, 8.1667, 8.1779, 8.1766, 8.1763, 8.1713, 8.1704, 8.1713, 8.1713, 8.171, 8.1696, 8.1683, 8.168, 8.1694, 8.1699, 8.17, 8.1687, 8.1684, 8.1671, 8.1668, 8.1665, 8.1661, 8.1658, 8.1645, 8.1632, 8.1624, 8.1616, 8.1609, 8.1602, 8.1546, 8.1539, 8.1536, 8.1488, 8.148, 8.1481, 8.1472, 8.1466, 8.1483, 8.1428, 8.1388, 8.1383, 8.137, 8.1357, 8.1353, 8.1345, 8.1348, 8.1313, 8.1308, 8.1304, 8.1255, 8.1294, 8.129, 8.1285, 8.1288, 8.1236, 8.1232, 8.1241, 8.1185, 8.1178, 8.1179, 8.1473, 8.1462, 8.1454, 8.1446, 8.1471, 8.1419, 8.1371, 8.1318, 8.131, 8.1304, 8.1299, 8.1254, 8.1249, 8.1205, 8.1198, 8.1198, 8.1192, 8.1197, 8.1191, 8.1184, 8.117, 8.1163, 8.1157, 8.1162, 8.1157, 8.1149, 8.1145, 8.1132, 8.1126, 8.1113, 8.1113, 8.1121, 8.1109, 8.1056, 8.1006, 8.1005, 8.0993, 8.0994, 8.0988, 8.0942, 8.0893, 8.0887, 8.0875, 8.0869, 8.0863, 8.0867, 8.0888, 8.0839, 8.0835, 8.0843, 8.2521, 8.2509, 8.2493, 8.2481, 8.2479, 8.2427, 8.2422, 8.2376, 8.2393, 8.2386, 8.2335, 8.2284, 8.231, 8.2298, 8.2287, 8.228, 8.2269, 8.2262, 8.2251, 8.224, 8.2244, 8.2219, 8.2171, 8.216, 8.2152, 8.2145, 8.2151, 8.2099, 8.2096, 8.2091, 8.2053, 8.2002, 8.1999, 8.1991, 8.1946, 8.1943, 8.1951, 8.1903, 8.1858, 8.1849, 8.1844, 8.1835, 8.182, 8.1811, 8.1802, 8.1792, 8.1789, 8.178, 8.1771, 8.1762, 8.1759, 8.1752, 8.1743, 8.176, 8.1752, 8.1739, 8.1737, 8.1729, 8.1727, 8.172, 8.1713, 8.1666, 8.1658, 8.1695, 8.1683, 8.1635, 8.1589, 8.1583, 8.1584, 8.1576, 8.1567, 8.1561, 8.1551, 8.1502, 8.1459, 8.1919, 8.191, 8.1901, 8.1903, 8.1899, 8.1886, 8.1877, 8.187, 8.1857, 8.1846, 8.1841, 8.1832, 8.1848, 8.1802, 8.1792, 8.1783, 8.177, 8.1763, 8.1715, 8.1711, 8.171, 8.1701, 8.1654, 8.1611, 8.1606, 8.1603, 8.1599, 8.1595, 8.1591, 8.1579, 8.1579, 8.1574, 8.1531, 8.1541, 8.1537, 8.1497, 8.1494, 8.149, 8.1479, 8.1469, 8.1469, 8.1463, 8.1456, 8.1456, 8.1439, 8.1428, 8.1429, 8.1387, 8.1342, 8.1335, 8.1328, 8.1345, 8.1338, 8.1331, 8.1325, 8.1321, 8.1311, 8.1332, 8.1443, 8.1536, 8.153, 8.1524, 8.1517, 8.1511, 8.1505, 8.1499, 8.1496, 8.1497, 8.1489, 8.1465, 8.1458, 8.1441, 8.1433, 8.146, 8.1418, 8.1447, 8.1433, 8.1425, 8.1418, 8.141, 8.1402, 8.1394, 8.1387, 8.1379, 8.1375, 8.1366, 8.1364, 8.1356, 8.1353, 8.1347, 8.1342, 8.1329, 8.1325, 8.1322, 8.1314, 8.1312, 8.1311, 8.1317, 8.1311, 8.1307, 8.1297, 8.1293, 8.1289, 8.1286, 8.1283, 8.1279, 8.1276, 8.1273, 8.127, 8.1265, 8.1261, 8.1257, 8.1246, 8.1242, 8.1255, 8.1254, 8.1253, 8.1249, 8.1244, 8.124, 8.1236, 8.1226, 8.1218, 8.1215, 8.1206, 8.1169, 8.1133, 8.1131, 8.1124, 8.1118, 8.111, 8.1107, 8.1122, 8.1122, 8.112, 8.112, 8.112, 8.1107, 8.1106, 8.1116, 8.111, 8.1104, 8.1097, 8.1085, 8.1078, 8.1077, 8.1072, 8.1066, 8.106, 8.1054, 8.1043, 8.1042, 8.1003, 8.0965, 8.0959, 8.0953, 8.0947, 8.0947, 8.0938, 8.0931, 8.0888, 8.0847, 8.084, 8.0833, 8.0849, 8.0846, 8.0845, 8.0836, 8.0828, 8.0827, 8.0826, 8.0786, 8.0745, 8.0743, 8.0736, 8.0717, 8.0743, 8.0741, 8.0733, 8.0732, 8.0733, 8.0691, 8.0689, 8.0681, 8.0686, 8.0684, 8.0682, 8.0674, 8.067, 8.0667, 8.0663, 8.0658, 8.0652, 8.0642, 8.0638, 8.0634, 8.063, 8.0625, 8.0634, 8.0627, 8.0621, 8.0582, 8.0577, 8.0575, 8.057, 8.0565, 8.056, 8.0556, 8.0516, 8.0534, 8.0497, 8.0493, 8.0487, 8.0484, 8.0478, 8.0465, 8.046, 8.0459, 8.0457, 8.0422, 8.0416, 8.0375, 8.0353, 8.0347, 8.0505, 8.0499, 8.0494, 8.0494, 8.0489, 8.0484, 8.0479, 8.0478, 8.048, 8.0475, 8.0465, 8.046, 8.045, 8.0471, 8.0435, 8.043, 8.0425, 8.0422, 8.0419, 8.0415, 8.041, 8.0405, 8.0401, 8.0395, 8.039, 8.039, 8.0388, 8.0382, 8.0377, 8.0371, 8.0368, 8.0378, 8.0373, 8.0368, 8.0368, 8.0445, 8.0413, 8.0379, 8.0375, 8.0371, 8.0366, 8.0363, 8.0358, 8.0361, 8.0326, 8.0286, 8.028, 8.0278, 8.0275, 8.0272, 8.0237, 8.0233, 8.0229, 8.0226, 8.0218, 8.021, 8.0207, 8.02, 8.0197, 8.0194, 8.0186, 8.0178, 8.0178, 8.0142, 8.0144, 8.0135, 8.0126, 8.0118, 8.0115, 8.0115, 8.0107, 8.0099, 8.0094, 8.0092, 8.0084, 8.009, 8.0088, 8.0084, 8.0079, 8.0183, 8.018, 8.0171, 8.0168, 8.017, 8.0168, 8.0166, 8.0164, 8.0161, 8.0154, 8.0582, 8.0541, 8.0526, 8.0488, 8.0486, 8.0453, 8.0421, 8.038, 8.0348, 8.0675, 8.0669, 8.0691, 8.0678, 8.0671, 8.069, 8.0684, 8.0678, 8.0676, 8.0672, 8.0635, 8.0631, 8.0625, 8.0622, 8.062, 8.0617, 8.0611, 8.0605, 8.06, 8.0594, 8.0586, 8.0581, 8.0573, 8.0565, 8.0563, 8.0558, 8.0553, 8.0547, 8.0542, 8.0537, 8.0532, 8.0528, 8.0521, 8.051, 8.0504, 8.0498, 8.0492, 8.0493, 8.0492, 8.0458, 8.0451, 8.0444, 8.0437, 8.0435, 8.0404, 8.0387, 8.0397, 8.0415, 8.0415, 8.0485, 8.0479, 8.0473, 8.0467, 8.0461, 8.046, 8.043, 8.0421, 8.0421, 8.0419, 8.0388, 8.0501, 8.0469, 8.0466, 8.0491, 8.0488, 8.0481, 8.0474, 8.0471, 8.0465, 8.0459, 8.0449, 8.0445, 8.0413, 8.0529, 8.052, 8.0517, 8.0511, 8.0504, 8.0499, 8.0495, 8.049, 8.0488, 8.0483, 8.0485, 8.0454, 8.0449, 8.044, 8.0405, 8.0372, 8.0337, 8.0332, 8.0327, 8.0328, 8.032, 8.0316, 8.0502, 8.0601, 8.0619, 8.0624, 8.0679, 8.0646, 8.0611, 8.148, 8.1473, 8.1467, 8.1435, 8.1426, 8.1422, 8.142, 8.1414, 8.1407, 8.1394, 8.1395, 8.1388, 8.1381, 8.137, 8.1367, 8.1358, 8.1364, 8.1327, 8.1321, 8.1336, 8.1329, 8.1294, 8.1294, 8.1259, 8.1263, 8.1261, 8.1253, 8.1217, 8.1237, 8.123, 8.1224, 8.1189, 8.1181, 8.1148, 8.1148, 8.1114, 8.111, 8.1111, 8.1153, 8.1148, 8.1158, 8.1155, 8.1122, 8.1118, 8.1114, 8.1108, 8.1073, 8.1064, 8.1065, 8.1061, 8.1052, 8.1048, 8.1042, 8.1036, 8.103, 8.1029, 8.1023, 8.1021, 8.0986, 8.0981, 8.0946, 8.0916, 8.0912, 8.0907, 8.0875, 8.0843, 8.0839, 8.0828, 8.0821, 8.0787, 8.0788, 8.0781, 8.0775, 8.0744, 8.0714, 8.0687, 8.0683, 8.065, 8.0621, 8.0615, 8.0589, 8.0592, 8.0588, 8.0582, 8.0581, 8.0573, 8.0567, 8.0532, 8.0499, 8.0492, 8.0461, 8.0473, 8.0444, 8.0444, 8.0436, 8.0432, 8.0424, 8.042, 8.0416, 8.0383, 8.0349, 8.0359, 8.0357, 8.0352, 8.0319, 8.0325, 8.0323, 8.033, 8.0326, 8.0324, 8.0319, 8.0316, 8.0313, 8.0307, 8.0302, 8.03, 8.0299, 8.0334, 8.0321, 8.0315, 8.0313, 8.0308, 8.0304, 8.0273, 8.0272, 8.0271, 8.0265, 8.0256, 8.0228, 8.0197, 8.0167, 8.0158, 8.0154, 8.015, 8.0146, 8.0144, 8.0142, 8.0215, 8.021, 8.021, 8.018, 8.0189, 8.0158, 8.0131, 8.0138, 8.0141, 8.0135, 8.0131, 8.0126, 8.0126, 8.0121, 8.0116, 8.0111, 8.0111, 8.008, 8.0047, 8.0047, 8.0042, 8.0054, 8.0024, 8.0018, 8.0012, 8.0012, 8.0005, 8.0002, 8.0006, 7.9994, 7.9995, 7.9991, 7.9987, 7.9984, 7.9979, 7.9975, 7.9971, 7.9977, 7.9978, 7.999, 7.9961, 7.9989, 7.9963, 7.9961, 7.9958, 7.9931, 7.9941, 7.9941, 7.9936, 7.9937, 7.9944, 7.9939, 7.9934, 7.9929, 7.9926, 7.9922, 7.9924, 7.9919, 7.9915, 7.9911, 7.9906, 7.9902, 7.9903, 7.9906, 7.9901, 7.987, 7.9865, 7.9861, 7.9859, 7.9857, 7.9857, 7.9855, 7.9849, 7.9859, 7.9881, 7.9879, 7.9877, 7.9872, 7.9841, 7.9838, 7.9831, 7.9824, 7.9821, 7.9803, 7.981, 7.9897, 7.9913, 7.9882, 7.9882, 7.988, 7.9879, 7.9878, 7.9849, 7.982, 7.9812, 7.9808, 7.9814, 7.9813, 7.9815, 7.9818, 7.9815, 7.9836, 7.983, 7.9815, 7.9825, 7.9822, 7.9876, 7.9845, 7.9818, 7.9817, 7.9814, 7.9977, 7.9986, 7.998, 7.9977, 7.9979, 7.998, 7.9967, 7.9967, 7.9963, 7.9961, 7.9955, 7.9951, 7.995, 7.9946, 7.9939, 7.994, 7.9939, 7.9933, 7.9937, 7.9936, 7.993, 7.9932, 7.9931, 7.9924, 7.9918, 7.9915, 7.9905, 7.9903, 7.9897, 7.9899, 7.9894, 7.9888, 7.9866, 7.9915, 7.9912, 7.991, 7.9907, 7.9904, 7.9901, 7.9898, 7.9891, 7.9889, 7.9886, 7.9883, 7.988, 7.9887, 7.989, 7.9887, 7.9885, 7.9883, 7.9882, 7.9879, 7.9876, 7.9869, 7.9868, 7.9866, 7.9859, 7.9858, 7.9867, 7.9865, 7.9861, 7.9834, 7.9833, 7.9833, 7.9832, 7.9827, 7.982, 7.9813, 7.9814, 7.9808, 7.9803, 7.9801, 7.9801, 7.98, 7.9795, 7.9794, 7.9794, 7.9784, 7.976, 7.9774, 7.977, 7.9769, 7.9741, 7.9746, 7.9761, 7.9756, 7.9751, 7.975, 7.9762, 7.9768, 7.9738, 7.973, 7.9723, 7.9722, 7.9722, 7.972, 7.9718, 7.9716, 7.9713, 7.9711, 7.9708, 7.9708, 7.9678, 7.9674, 7.967, 7.9642, 7.9614, 7.9611, 7.961, 7.9579, 7.9549, 7.9549, 7.9548, 7.954, 7.9534, 7.9528, 7.9527, 7.9497, 7.9494, 7.9488, 7.9487, 7.9483, 7.9482, 7.9479, 7.9478, 7.9473, 7.9468, 7.9465, 7.946, 7.9455, 7.9465, 7.9462, 7.9457, 7.9451, 7.9448, 7.942, 7.9396, 7.9394, 7.9395, 7.9369, 7.9341, 7.9342, 7.934, 7.934, 7.9316, 7.929, 7.93, 7.9292, 7.9292, 7.9267, 7.9265, 7.9266, 7.9261, 7.9258, 7.9255, 7.9252, 7.9226, 7.9199, 7.9196, 7.9203, 7.9177, 7.9174, 7.9169, 7.9164, 7.9164, 7.9134, 7.9108, 7.9103, 7.9098, 7.9099, 7.9096, 7.9098, 7.9091, 7.9088, 7.9088, 7.9088, 7.9085, 7.9082, 7.9079, 7.9054, 7.9027, 7.9002, 7.9002, 7.9002, 7.8999, 7.9037, 7.9034, 7.9031, 7.9005, 7.8979, 7.8979, 7.8976, 7.8976, 7.8973, 7.8973, 7.897, 7.8982, 7.8979, 7.8956, 7.8928, 7.8904, 7.8904, 7.89, 7.8898, 7.8875, 7.8852, 7.8852, 7.8854, 7.883, 7.883, 7.8827, 7.8823, 7.8819, 7.8815, 7.8817, 7.8813, 7.8813, 7.8814, 7.8815, 7.8812, 7.8813, 7.8811, 7.8783, 7.8757, 7.8755, 7.8765, 7.8759, 7.8807, 7.8816, 7.8809, 7.8802, 7.88, 7.8794, 7.8792, 7.879, 7.8786, 7.8787, 7.8783, 7.8775, 7.8812, 7.8798, 7.8808, 7.8805, 7.8806, 7.8802, 7.8797, 7.8793, 7.8791, 7.8789, 7.8783, 7.8779, 7.8755, 7.8753, 7.8749, 7.8722, 7.8758, 7.8758, 7.8751, 7.8749, 7.8726, 7.8701, 7.8696, 7.8697, 7.8693, 7.8688, 7.8661, 7.8641, 7.8639, 7.8636, 7.862, 7.8599, 7.86, 7.8594, 7.8591, 7.8588, 7.8585, 7.8582, 7.8637, 7.8634, 7.8632, 7.8642, 7.8616, 7.861, 7.8604, 7.8601, 7.8598, 7.8596, 7.8593, 7.8593, 7.8592, 7.8589, 7.8587, 7.8584, 7.8564, 7.8561, 7.8558, 7.8559, 7.8562, 7.8566, 7.8566, 7.8562, 7.8559, 7.8555, 7.8554, 7.8529, 7.8505, 7.8502, 7.8504, 7.8502, 7.8477, 7.8475, 7.8476, 7.845, 7.8447, 7.8462, 7.846, 7.8458, 7.8456, 7.8454, 7.8448, 7.8443, 7.8438, 7.8436, 7.8434, 7.8432, 7.8434, 7.8444, 7.8423, 7.842, 7.8433, 7.8409, 7.8402, 7.8399, 7.8395, 7.8397, 7.8394, 7.8394, 7.8395, 7.8403, 7.8378, 7.8353, 7.8349, 7.8345, 7.8341, 7.8339, 7.8337, 7.8337, 7.8312, 7.8307, 7.8321, 7.8316, 7.8315, 7.8324, 7.8321, 7.8319, 7.8316, 7.8316, 7.8314, 7.8314, 7.8293, 7.8288, 7.8281, 7.8278, 7.8276, 7.8273, 7.8268, 7.8247, 7.8224, 7.8225, 7.8223, 7.8223, 7.8224, 7.82, 7.8176, 7.8177, 7.8174, 7.817, 7.8166, 7.8182, 7.8158, 7.8158, 7.8157, 7.8153, 7.8149, 7.8145, 7.8145, 7.8145, 7.8117, 7.8099, 7.8099, 7.8095, 7.8091, 7.8149, 7.8148, 7.8192, 7.8191, 7.8168, 7.8149, 7.8156, 7.8132, 7.8171, 7.8168, 7.8167, 7.8225, 7.8226, 7.8252, 7.8249, 7.8244, 7.8219, 7.8194, 7.8168, 7.8165, 7.814, 7.8118, 7.8119, 7.8118, 7.8113, 7.8129, 7.8127, 7.8133, 7.8129, 7.8128, 7.8125, 7.8102, 7.8076, 7.8074, 7.8072, 7.8047, 7.8025, 7.8028, 7.8023, 7.802, 7.8018, 7.8018, 7.8018, 7.7994, 7.7994, 7.7989, 7.7988, 7.7986, 7.7982, 7.7983, 7.7981, 7.8009, 7.801, 7.8011, 7.805, 7.8051, 7.8066, 7.8063, 7.8095, 7.8106, 7.8154, 7.8129, 7.8105, 7.8125, 7.8126, 7.8125, 7.8104, 7.8102, 7.8098, 7.8094, 7.8092, 7.8092, 7.8101, 7.81, 7.83, 7.8298, 7.8275, 7.829, 7.8286, 7.8293, 7.8271, 7.8265, 7.8264, 7.826, 7.8259, 7.8258, 7.8258, 7.8255, 7.8234, 7.821, 7.8209, 7.8206, 7.8206, 7.8204, 7.8201, 7.8198, 7.8195, 7.8195, 7.8211, 7.8214, 7.8239, 7.8271, 7.8247, 7.8224, 7.8205, 7.8202, 7.818, 7.8157, 7.8156, 7.8153, 7.8129, 7.8135, 7.8115, 7.8114, 7.8091, 7.8071, 7.8071, 7.807, 7.8049, 7.8026, 7.8029, 7.8028, 7.8027, 7.8005, 7.7983, 7.7982, 7.7981, 7.7982, 7.7986, 7.7985, 7.7983, 7.7977, 7.7978, 7.8001, 7.798, 7.798, 7.798, 7.7979, 7.7975, 7.7971, 7.7967, 7.7966, 7.7961, 7.794, 7.7922, 7.7922, 7.792, 7.792, 7.7916, 7.7916, 7.7916, 7.791, 7.7904, 7.7883, 7.7865, 7.7864, 7.7863, 7.786, 7.7856, 7.7834, 7.7812, 7.7811, 7.7819, 7.7797, 7.7793, 7.7789, 7.7789, 7.777, 7.7766, 7.7762, 7.7758, 7.7757, 7.7753, 7.775, 7.7749, 7.7745, 7.7742, 7.7739, 7.7734, 7.7733, 7.7728, 7.7728, 7.7726, 7.7725, 7.7724, 7.7722, 7.7721, 7.7721, 7.772, 7.7715, 7.7716, 7.7714, 7.7712, 7.771, 7.7708, 7.7706, 7.7704, 7.7705, 7.7706, 7.7707, 7.77, 7.77, 7.7696, 7.7695, 7.7712, 7.7726, 7.7729, 7.7729, 7.7732, 7.773, 7.7726, 7.774, 7.7739, 7.7736, 7.7737, 7.7733, 7.7731, 7.7727, 7.7728, 7.7728, 7.7727, 7.7723, 7.7721, 7.7722, 7.7732, 7.7712, 7.7713, 7.7712, 7.7709, 7.7704, 7.7707, 7.7702, 7.7697, 7.7691, 7.7686, 7.7682, 7.768, 7.768, 7.768, 7.7679, 7.7675, 7.7685, 7.7748, 7.7746, 7.7742, 7.7739, 7.7737, 7.7733, 7.7733, 7.7731, 7.7726, 7.7723, 7.7721, 7.773, 7.7729, 7.7729, 7.7937, 7.7939, 7.7924, 7.7921, 7.7936, 7.7938, 7.7915, 7.7928, 7.7926, 7.7925, 7.7903, 7.7882, 7.7884, 7.7884, 7.7883, 7.788, 7.7877, 7.7863, 7.7841, 7.7838, 7.7834, 7.7847, 7.786, 7.7857, 7.7856, 7.7851, 7.7848, 7.7845, 7.7842, 7.7839, 7.7906, 7.7891, 7.7877, 7.7856, 7.7855, 7.7853, 7.7852, 7.7851, 7.785, 7.7849, 7.7827, 7.7825, 7.7821, 7.782, 7.7816, 7.7815, 7.7845, 7.7825, 7.7823, 7.7825, 7.7825, 7.7821, 7.7819, 7.7816, 7.7793, 7.7792, 7.7789, 7.7785, 7.7785, 7.7784, 7.7784, 7.7764, 7.7767, 7.7766, 7.7766, 7.7746, 7.7726, 7.7725, 7.7704, 7.7682, 7.7663, 7.7666, 7.7669, 7.7669, 7.7667, 7.7665, 7.7643, 7.7621, 7.7619, 7.7619, 7.7623, 7.7623, 7.7622, 7.7621, 7.7601, 7.758, 7.7579, 7.7574, 7.7573, 7.7571, 7.7569, 7.7567, 7.7576, 7.7582, 7.7564, 7.7567, 7.7565, 7.7566, 7.7564, 7.7559, 7.7557, 7.7558, 7.7558, 7.7544, 7.7542, 7.7543, 7.7542, 7.7542, 7.754, 7.7541, 7.7539, 7.7537, 7.7533, 7.7532, 7.7527, 7.7528, 7.7529, 7.7509, 7.7509, 7.7507, 7.7505, 7.7507, 7.7507, 7.7503, 7.7503, 7.7499, 7.7499, 7.7496, 7.7496, 7.7492, 7.7488, 7.7488, 7.747, 7.7466, 7.7462, 7.7458, 7.7457, 7.7459, 7.7458, 7.7457, 7.7456, 7.7455, 7.745, 7.7449, 7.7448, 7.7447, 7.7446, 7.7445, 7.7444, 7.7446, 7.7424, 7.742, 7.7422, 7.7403, 7.7384, 7.7366, 7.7368, 7.7368, 7.7366, 7.7364, 7.7362, 7.7361, 7.7362, 7.7361, 7.7363, 7.7359, 7.7375, 7.7373, 7.7372, 7.7371, 7.7368, 7.7367, 7.7347, 7.7326, 7.7339, 7.7342, 7.7341, 7.734, 7.7343, 7.7342, 7.7341, 7.7337, 7.7337, 7.7335, 7.7314, 7.7313, 7.7313, 7.7311, 7.729, 7.7288, 7.7269, 7.7249, 7.7249, 7.7248, 7.7227, 7.7206, 7.7205, 7.7204, 7.72, 7.7196, 7.7195, 7.7191, 7.719, 7.719, 7.7189, 7.7188, 7.7167, 7.7148, 7.7186, 7.7184, 7.7183, 7.7181, 7.7182, 7.718, 7.7244, 7.7225, 7.7234, 7.7227, 7.7206, 7.7211, 7.7216, 7.7217, 7.7215, 7.7215, 7.7196, 7.721, 7.7209, 7.72, 7.7214, 7.7212, 7.7209, 7.7209, 7.7209, 7.7207, 7.7208, 7.7197, 7.7196, 7.7193, 7.7191, 7.7185, 7.7211, 7.7205, 7.7203, 7.7201, 7.72, 7.7199, 7.7197, 7.7243, 7.7242, 7.7242, 7.7221, 7.7256, 7.7254, 7.7252, 7.7257, 7.7239, 7.7253, 7.7236, 7.7239, 7.722, 7.7203, 7.7182, 7.7179, 7.7178, 7.7176, 7.7173, 7.7171, 7.7169, 7.7169, 7.7168, 7.7168, 7.7148, 7.7164, 7.7164, 7.7162, 7.716, 7.7161, 7.7159, 7.7155, 7.7155, 7.7167, 7.7167, 7.7166, 7.7163, 7.7159, 7.717, 7.7169, 7.7167, 7.7148, 7.713, 7.7129, 7.7128, 7.713, 7.711, 7.7108, 7.709, 7.707, 7.7067, 7.7053, 7.7033, 7.7012, 7.7012, 7.7008, 7.7004, 7.7, 7.6979, 7.696, 7.696, 7.6973, 7.6973, 7.6973, 7.6972, 7.6957, 7.6936, 7.6934, 7.6934, 7.6932, 7.692, 7.692, 7.6905, 7.6905, 7.6886, 7.6885, 7.6899, 7.6879, 7.6875, 7.6873, 7.6854, 7.6853, 7.6859, 7.686, 7.6862, 7.6858, 7.6857, 7.6857, 7.6842, 7.6825, 7.6823, 7.6821, 7.6802, 7.6782, 7.6765, 7.6769, 7.6782, 7.678, 7.6779, 7.6777, 7.6778, 7.6777, 7.6775, 7.6773, 7.6771, 7.6769, 7.6767, 7.6766, 7.6764, 7.6745, 7.675, 7.6749, 7.6748, 7.6746, 7.6745, 7.6755, 7.6757, 7.6761, 7.6742, 7.6768, 7.6767, 7.6766, 7.6789, 7.6787, 7.679, 7.6792, 7.6774, 7.6774, 7.6784, 7.6787, 7.6791, 7.6787, 7.6788, 7.6789, 7.679, 7.6789, 7.6771, 7.677, 7.6794, 7.68, 7.6801, 7.6786, 7.6786, 7.6814, 7.6796, 7.6778, 7.6795, 7.6791, 7.679, 7.6789, 7.6788, 7.6787, 7.6799, 7.6798, 7.68, 7.6799, 7.68, 7.6796, 7.6795, 7.6794, 7.6793, 7.6792, 7.6791, 7.679, 7.6785, 7.6783, 7.6781, 7.6779, 7.6777, 7.6775, 7.6774, 7.6774, 7.6774, 7.677, 7.6769, 7.6768, 7.6767, 7.6766, 7.6764, 7.6763, 7.6761, 7.6759, 7.6742, 7.6741, 7.6739, 7.6737, 7.6733, 7.6742, 7.6725, 7.6723, 7.6721, 7.6719, 7.6715, 7.6715, 7.6714, 7.6696, 7.673, 7.6713, 7.6695, 7.6675, 7.6682, 7.6679, 7.6679, 7.6678, 7.6674, 7.6671, 7.6652, 7.666, 7.6657, 7.6653, 7.6649, 7.6648, 7.6629, 7.6626, 7.6625, 7.6622, 7.6638, 7.6651, 7.6646, 7.6642, 7.6647, 7.6657, 7.6654, 7.6653, 7.6635, 7.663, 7.6628, 7.6627, 7.6608, 7.659, 7.66, 7.6612, 7.6608, 7.6593, 7.6578, 7.6577, 7.6577, 7.6579, 7.6583, 7.6583, 7.6565, 7.6548, 7.655, 7.6549, 7.6548, 7.6549, 7.6548, 7.6547, 7.6528, 7.651, 7.6506, 7.6505, 7.6504, 7.6502, 7.6485, 7.6467, 7.6469, 7.6467, 7.6466, 7.6464, 7.6463, 7.6461, 7.6459, 7.644, 7.6421, 7.6422, 7.6419, 7.6416, 7.6398, 7.6379, 7.6376, 7.6375, 7.6374, 7.6373, 7.637, 7.6368, 7.6369, 7.6368, 7.6366, 7.6365, 7.6364, 7.6363, 7.6362, 7.6362, 7.6346, 7.6373, 7.6369, 7.637, 7.637, 7.6368, 7.6369, 7.6371, 7.6382, 7.6381, 7.6366, 7.6366, 7.6365, 7.6366, 7.6364, 7.6363, 7.6362, 7.6361, 7.6365, 7.6363, 7.6362, 7.6364, 7.6363, 7.6362, 7.6363, 7.6365, 7.6364, 7.6363, 7.6345, 7.6342, 7.6341, 7.6338, 7.6337, 7.6319, 7.6317, 7.6315, 7.6313, 7.631, 7.6308, 7.6311, 7.631, 7.6309, 7.6322, 7.6327, 7.6324, 7.6324, 7.6331, 7.6314, 7.6358, 7.6358, 7.6356, 7.6341, 7.6338, 7.6348, 7.634, 7.6349, 7.6348, 7.6345, 7.6344, 7.634, 7.6363, 7.6345, 7.6342, 7.6341, 7.6324, 7.6328, 7.6308, 7.6305, 7.6309, 7.6305, 7.6289, 7.6286, 7.6285, 7.6285, 7.6281, 7.628, 7.6284, 7.628, 7.6277, 7.6274, 7.6274, 7.6272, 7.6271, 7.627, 7.6253, 7.6237, 7.6219, 7.6218, 7.6202, 7.6185, 7.6181, 7.6179, 7.6178, 7.6178, 7.6179, 7.6177, 7.617, 7.6152, 7.6151, 7.615, 7.6133, 7.6118, 7.6117, 7.6116, 7.6113, 7.6108, 7.6091, 7.6073, 7.6146, 7.6143, 7.614, 7.6146, 7.6144, 7.6141, 7.614, 7.6125, 7.6109, 7.611, 7.611, 7.6111, 7.6108, 7.6124, 7.6119, 7.6105, 7.6102, 7.6099, 7.6101, 7.6085, 7.6084, 7.6086, 7.6087, 7.6088, 7.6085, 7.6086, 7.6087, 7.6085, 7.6086, 7.6087, 7.6088, 7.6086, 7.609, 7.609, 7.6096, 7.6094, 7.6095, 7.6078, 7.6079, 7.6077, 7.6075, 7.6073, 7.609, 7.6073, 7.6056, 7.6056, 7.6053, 7.6052, 7.6051, 7.6036, 7.6038, 7.604, 7.6037, 7.6035, 7.6062, 7.6062, 7.6057, 7.6056, 7.6055, 7.605, 7.6051, 7.605, 7.6049, 7.6048, 7.6049, 7.6032, 7.6031, 7.603, 7.6034, 7.6035, 7.6035, 7.6035, 7.6034, 7.6032, 7.6017, 7.6014, 7.6013, 7.6012, 7.6011, 7.601, 7.601, 7.6012, 7.601, 7.6009, 7.6012, 7.6012, 7.6011, 7.6011, 7.6011, 7.601, 7.6007, 7.599, 7.6005, 7.5991, 7.5991, 7.5989, 7.6048, 7.6047, 7.6054, 7.6068, 7.6068, 7.6068, 7.6066, 7.6064, 7.6064, 7.6063, 7.6063, 7.6062, 7.6061, 7.6061, 7.606, 7.6061, 7.6059, 7.6058, 7.604, 7.605, 7.6051, 7.6038, 7.6022, 7.6022, 7.6022, 7.6024, 7.6021, 7.6021, 7.602, 7.6018, 7.6016, 7.6, 7.6008, 7.6009, 7.6011, 7.601, 7.601, 7.601, 7.601, 7.6012, 7.6013, 7.6015, 7.6013, 7.6011, 7.6012, 7.6013, 7.6016, 7.6021, 7.6021, 7.6023, 7.6024, 7.6025, 7.6021, 7.6019, 7.6017, 7.6018, 7.6008, 7.5994, 7.5992, 7.599, 7.5988, 7.5986, 7.5984, 7.5982, 7.5966, 7.5953, 7.5937, 7.592, 7.5922, 7.5924, 7.5907, 7.5914, 7.5905, 7.5905, 7.5905, 7.5909, 7.5908, 7.5889, 7.5895, 7.5895, 7.5894, 7.5904, 7.5892, 7.589, 7.5875, 7.5934, 7.5919, 7.5919, 7.5917, 7.592, 7.5918, 7.5919, 7.5917, 7.5918, 7.5916, 7.5913, 7.5915, 7.5916, 7.5914, 7.5912, 7.5913, 7.591, 7.5907, 7.5909, 7.5918, 7.5908, 7.5907, 7.5908, 7.5908, 7.5909, 7.5908, 7.5909, 7.5904, 7.5904, 7.5905, 7.5903, 7.5903, 7.5901, 7.5899, 7.5897, 7.5897, 7.5898, 7.5883, 7.5889, 7.589, 7.5892, 7.5894, 7.5956, 7.5963, 7.5965, 7.5969, 7.5969, 7.597, 7.5974, 7.5973, 7.5973, 7.5973, 7.5973, 7.5975, 7.5973, 7.5973, 7.597, 7.5967, 7.5967, 7.5971, 7.5974, 7.596, 7.5944, 7.5934, 7.5932, 7.593, 7.5928, 7.5913, 7.5902, 7.59, 7.5902, 7.59, 7.5904, 7.5908, 7.5907, 7.5906, 7.5906, 7.5906, 7.5906, 7.5906, 7.5903, 7.591, 7.5893, 7.5893, 7.589, 7.589, 7.5887, 7.5887, 7.5884, 7.5884, 7.5884, 7.5885, 7.5885, 7.5871, 7.5868, 7.5868, 7.5871, 7.587, 7.5871, 7.5871, 7.587, 7.5869, 7.5863, 7.5848, 7.5851, 7.5854, 7.5839, 7.5837, 7.5848, 7.5849, 7.5847, 7.5848, 7.5833, 7.5832, 7.5837, 7.5837, 7.5822, 7.5811, 7.5796, 7.5796, 7.5796, 7.5822, 7.582, 7.5817, 7.5802, 7.5786, 7.5784, 7.5785, 7.5784, 7.5772, 7.5772, 7.5771, 7.5785, 7.5773, 7.5757, 7.5756, 7.5752, 7.5753, 7.5754, 7.5753, 7.5737, 7.5723, 7.5724, 7.581, 7.5808, 7.5804, 7.5806, 7.5804, 7.5836, 7.5836, 7.5847, 7.588, 7.5878, 7.5877, 7.5876, 7.5879, 7.5867, 7.5865, 7.5865, 7.5866, 7.5865, 7.5864, 7.5861, 7.5845, 7.583, 7.5828, 7.5834, 7.5833, 7.5817, 7.5814, 7.5815, 7.5819, 7.5804, 7.5805, 7.6002, 7.6012, 7.6013, 7.6016, 7.6016, 7.6016, 7.6022, 7.602, 7.6018, 7.6016, 7.6017, 7.6019, 7.6018, 7.6017, 7.6016, 7.6015, 7.6016, 7.6014, 7.6012, 7.6011, 7.601, 7.6009, 7.6014, 7.6, 7.5988, 7.5979, 7.599, 7.6, 7.6023, 7.6023, 7.6015, 7.6013, 7.6012, 7.6011, 7.6007, 7.6006, 7.6009, 7.5994, 7.6004000000000005, 7.601400000000001, 7.6013, 7.6015, 7.5999, 7.5986, 7.599, 7.5995, 7.5997, 7.5997, 7.5997, 7.5997, 7.5994, 7.5994, 7.5994, 7.5994, 7.5994, 7.5994, 7.5994, 7.5991, 7.5988, 7.5986, 7.5987, 7.5997, 7.5996, 7.598, 7.5966, 7.5963, 7.5961, 7.5957, 7.5955, 7.5953, 7.5949, 7.5947, 7.5946, 7.5945, 7.5942, 7.5942, 7.5941, 7.5939, 7.5937, 7.5935, 7.5933, 7.5931, 7.5929, 7.5928, 7.5927, 7.5924, 7.5928, 7.5925, 7.5925, 7.5927, 7.5912, 7.5897, 7.5897, 7.5895, 7.5916, 7.5916, 7.59, 7.5889, 7.5874, 7.5861, 7.586, 7.5859, 7.5858, 7.5846, 7.5834, 7.5833, 7.5834, 7.5833, 7.5832, 7.5829, 7.583, 7.5828, 7.5828, 7.5827, 7.5825, 7.5824, 7.5822, 7.5824, 7.5808, 7.5806, 7.5805, 7.5806, 7.5806, 7.5806, 7.5807, 7.5808, 7.5807, 7.5806, 7.5806, 7.5806, 7.5804, 7.5802, 7.5801, 7.5811, 7.5821000000000005, 7.5819, 7.5819, 7.5819, 7.5804, 7.5802, 7.58, 7.581, 7.5809, 7.5796, 7.5782, 7.5781, 7.5779, 7.5777, 7.5775, 7.5773, 7.5771, 7.5769, 7.5769, 7.5769, 7.5767, 7.5767, 7.5755, 7.5741, 7.5741, 7.5739, 7.5739, 7.5737, 7.5737, 7.5735, 7.5735, 7.5745, 7.5734, 7.5733, 7.5731, 7.5729, 7.573, 7.5732, 7.5733, 7.5743, 7.5753, 7.5756, 7.5756, 7.5755, 7.5767, 7.576, 7.5761, 7.576, 7.5759, 7.5746, 7.5756000000000006, 7.576600000000001, 7.5767, 7.5766, 7.5767, 7.5775, 7.5774, 7.5772, 7.5773, 7.5772, 7.5771, 7.5772, 7.577, 7.577, 7.5775, 7.5773, 7.5773, 7.5771, 7.5771, 7.5769, 7.5765, 7.5756, 7.5758, 7.5756, 7.5756, 7.5756, 7.5767, 7.5767, 7.5764, 7.5764, 7.5762, 7.5768, 7.5774, 7.5775, 7.5779, 7.5779, 7.5779, 7.578, 7.5786, 7.5781, 7.5789, 7.5776, 7.5774, 7.5777, 7.5776, 7.5774, 7.5771, 7.577, 7.5769, 7.5769, 7.5769, 7.5772, 7.5772, 7.5771, 7.577, 7.577, 7.5769, 7.5779000000000005, 7.5782, 7.5781, 7.5767, 7.5753, 7.5755, 7.5756, 7.5758, 7.5758, 7.5759, 7.5758, 7.5756, 7.5755, 7.5756, 7.5741, 7.574, 7.5741, 7.574, 7.5741, 7.5739, 7.5742, 7.5744, 7.5745, 7.5731, 7.5717, 7.5717, 7.572, 7.5731, 7.5735, 7.5726, 7.5714, 7.5745, 7.5744, 7.5743, 7.5743, 7.574, 7.574, 7.5739, 7.5731, 7.5736, 7.5735, 7.5734, 7.5733, 7.5732, 7.5732, 7.5731, 7.5732, 7.5732, 7.5733, 7.5731, 7.5735, 7.5745000000000005, 7.5847, 7.5976, 7.5974, 7.5983, 7.5975, 7.5963, 7.6003, 7.6002, 7.6002, 7.5998, 7.5997, 7.5995, 7.5993, 7.5992, 7.5991, 7.598, 7.5978, 7.5977, 7.5962, 7.5948, 7.5934, 7.5932, 7.5947, 7.5931, 7.5921, 7.5921, 7.5921, 7.5921, 7.592, 7.5942, 7.5942, 7.5942, 7.594, 7.594, 7.594, 7.594, 7.5937, 7.5935, 7.5935, 7.5933, 7.5934, 7.5934, 7.5932, 7.593, 7.5932, 7.594200000000001, 7.5942, 7.5928, 7.5915, 7.5913, 7.5913, 7.5899, 7.5887, 7.5887, 7.5885, 7.5929, 7.5933, 7.5932, 7.5932, 7.5931, 7.593, 7.593, 7.5927, 7.5926, 7.5925, 7.5924, 7.5924, 7.5924, 7.5924, 7.5915, 7.5919, 7.5919, 7.5904, 7.5891, 7.5891, 7.5878, 7.5868, 7.5865, 7.5852, 7.5858, 7.5858, 7.5855, 7.5839, 7.5824, 7.5812, 7.5799, 7.5803, 7.58, 7.5797, 7.5794, 7.5794, 7.5794, 7.5794, 7.5794, 7.5791, 7.5799, 7.5785, 7.5785, 7.5785, 7.5785, 7.5785, 7.5785, 7.5771, 7.5782, 7.578, 7.578, 7.578, 7.5777, 7.5778, 7.578, 7.578, 7.578, 7.5783, 7.5783, 7.5783, 7.5783, 7.5784, 7.5784, 7.5783, 7.5782, 7.5782, 7.5782, 7.5794, 7.5783, 7.5785, 7.5785, 7.5785, 7.5785, 7.5786, 7.5785, 7.579, 7.5789, 7.5788, 7.5788, 7.5798000000000005, 7.5797, 7.5798, 7.5784, 7.5772, 7.5782, 7.5781, 7.578, 7.5803, 7.5808, 7.5807, 7.5806, 7.5807, 7.5807, 7.5807, 7.5806, 7.5804, 7.5804, 7.5806, 7.5806, 7.5795, 7.5795, 7.5797, 7.5796, 7.5794, 7.5783, 7.5769, 7.5769, 7.5769, 7.5769, 7.5769, 7.5769, 7.5769, 7.5774, 7.5774, 7.5774, 7.5775, 7.5775, 7.5775, 7.5772, 7.5758, 7.5758, 7.5758, 7.5758, 7.576, 7.576, 7.576, 7.576, 7.576, 7.576, 7.576, 7.5758, 7.5759, 7.5748, 7.5735, 7.5736, 7.573, 7.5732, 7.5733, 7.5732, 7.5742, 7.575200000000001, 7.5753, 7.5739, 7.5725, 7.5723, 7.5721, 7.5707, 7.5693, 7.5709, 7.5719, 7.5718, 7.5705, 7.5691, 7.569, 7.5688, 7.5689, 7.5689, 7.5689, 7.5689, 7.5689, 7.5687, 7.5685, 7.5682, 7.568, 7.5679, 7.5666, 7.5653, 7.5652, 7.5652, 7.5652, 7.5652, 7.565, 7.5648, 7.5648, 7.5648, 7.5646, 7.5644, 7.5643, 7.5643, 7.5643, 7.5643, 7.5643, 7.5641, 7.5642, 7.5644, 7.5644, 7.5642, 7.5652, 7.5652, 7.565, 7.564, 7.5627, 7.5625, 7.5625, 7.5625, 7.5623, 7.5621, 7.562, 7.562, 7.5617, 7.5617, 7.5618, 7.5619, 7.5616, 7.5619, 7.5619, 7.5619, 7.562, 7.5748, 7.5746, 7.5755, 7.5752, 7.575, 7.5737, 7.5754, 7.5746, 7.5733, 7.5733, 7.5731, 7.5731, 7.573, 7.5728, 7.5726, 7.573, 7.5729, 7.5727, 7.5751, 7.575, 7.5749, 7.5748, 7.5745, 7.5743, 7.5741, 7.574, 7.5726, 7.5736, 7.5739, 7.5737, 7.5736, 7.5734, 7.5731, 7.5764, 7.5758, 7.5747, 7.5748, 7.5759, 7.5745, 7.5744, 7.5743, 7.5741, 7.573, 7.5728, 7.5726, 7.5723, 7.5721, 7.5735, 7.5734, 7.5733, 7.5732, 7.5739, 7.5745, 7.5746, 7.5748, 7.5746, 7.5743, 7.5742, 7.5741, 7.574, 7.5739, 7.5741, 7.5742, 7.5743, 7.5742, 7.5741, 7.5743, 7.5742, 7.5739, 7.5738, 7.5737, 7.5736, 7.5785, 7.5797, 7.5795, 7.5818, 7.582, 7.5827, 7.5832, 7.5832, 7.5818, 7.5808, 7.5807, 7.5817000000000005, 7.5815, 7.5803, 7.5804, 7.5802, 7.58, 7.58, 7.5787, 7.5781, 7.578, 7.5777, 7.5764, 7.5754, 7.5804, 7.5803, 7.5802, 7.5802, 7.5812, 7.581, 7.5808, 7.5812, 7.5799, 7.5797, 7.5799, 7.5797, 7.5783, 7.5771, 7.5804, 7.5802, 7.58, 7.5798, 7.58, 7.5797, 7.5785, 7.5773, 7.5772, 7.577, 7.5769, 7.5767, 7.5772, 7.5759, 7.5758, 7.5757, 7.5743, 7.5731, 7.5741000000000005, 7.575100000000001, 7.575, 7.5760000000000005, 7.5761, 7.5747, 7.5744, 7.5742, 7.5741, 7.5742, 7.5743, 7.5742, 7.5742, 7.5739, 7.5736, 7.5735, 7.5737, 7.5736, 7.5734, 7.5723, 7.5723, 7.5723, 7.5721, 7.5722, 7.5718, 7.5717, 7.5716, 7.5717, 7.5717, 7.5714, 7.5705, 7.5706, 7.5706, 7.5704, 7.5703, 7.5704, 7.5702, 7.5699, 7.5699, 7.5699, 7.5696, 7.5701, 7.5701, 7.5703, 7.5705, 7.5704, 7.5733, 7.5732, 7.5736, 7.5724, 7.5717, 7.5716, 7.5715, 7.5714, 7.5713, 7.5714, 7.5713, 7.5712, 7.5709, 7.5708, 7.5707, 7.5707, 7.5706, 7.5703, 7.5704, 7.5712, 7.572, 7.5719, 7.5718, 7.5719, 7.572, 7.5718, 7.5717, 7.5716, 7.5714, 7.5714, 7.5712, 7.5709, 7.571, 7.571, 7.5713, 7.5712, 7.5709, 7.5711, 7.5711, 7.571, 7.5709, 7.5707, 7.5705, 7.5705, 7.5692, 7.5684, 7.5672, 7.5679, 7.5673, 7.5671, 7.567, 7.5669, 7.5669, 7.5669, 7.567, 7.5671, 7.567, 7.5669, 7.5668, 7.5678, 7.5678, 7.5675, 7.5673, 7.5678, 7.5676, 7.5677, 7.568, 7.569, 7.569, 7.5677, 7.5674, 7.5673, 7.5673, 7.5673, 7.5674, 7.5673, 7.5673, 7.5672, 7.5672, 7.5671, 7.5668, 7.5668, 7.5655, 7.5642, 7.5634, 7.5633, 7.5634, 7.5636, 7.5624, 7.5612, 7.5611, 7.5612, 7.5611, 7.5609, 7.561, 7.5609, 7.5608, 7.5609, 7.5608, 7.5609, 7.5608, 7.5607, 7.5604, 7.5652, 7.564, 7.5629, 7.5628, 7.5627, 7.5631, 7.5628, 7.5626, 7.5626, 7.5626, 7.5625, 7.5623, 7.5629, 7.5639, 7.564900000000001, 7.5648, 7.5648, 7.5637, 7.5625, 7.5615, 7.5623, 7.563, 7.5641, 7.5628, 7.5631, 7.5643, 7.5647, 7.5652, 7.5656, 7.5656, 7.5655, 7.5655, 7.5654, 7.5654, 7.5652, 7.565, 7.5649, 7.5637, 7.5625, 7.5623, 7.5621, 7.5619, 7.5617, 7.5618, 7.5625, 7.5641, 7.5641, 7.5641, 7.5639, 7.5639, 7.5637, 7.5636, 7.5635, 7.5634, 7.5632, 7.5631, 7.5629, 7.5627, 7.5627, 7.5615, 7.5603, 7.5601, 7.5599, 7.5587, 7.5574, 7.5573, 7.5574, 7.5575, 7.5574, 7.5573, 7.5575, 7.5577, 7.5577, 7.5576, 7.5575, 7.5565, 7.5556, 7.5558, 7.5556, 7.5556, 7.5561, 7.5566, 7.5564, 7.5566, 7.5567, 7.5567, 7.557, 7.5684, 7.5684, 7.5685, 7.5711, 7.5711, 7.571, 7.571, 7.5712, 7.5711, 7.571, 7.571, 7.5722, 7.5768, 7.5768, 7.577, 7.5759, 7.5798, 7.5808, 7.5808, 7.5808, 7.5805, 7.5805, 7.5796, 7.5796, 7.5796, 7.5796, 7.5795, 7.5795, 7.5795, 7.5795, 7.5795, 7.5795, 7.5792, 7.5793, 7.5793, 7.5793, 7.5793, 7.5791, 7.5791, 7.5789, 7.5781, 7.577, 7.5769, 7.5768, 7.5768, 7.5766, 7.5765, 7.5763, 7.5762, 7.576, 7.5759, 7.5757, 7.5757, 7.5756, 7.5756, 7.5755, 7.5753, 7.5753, 7.5751, 7.575, 7.575, 7.5749, 7.575, 7.5749, 7.5748, 7.5746, 7.5745, 7.5744, 7.5742, 7.5743, 7.5741, 7.5742, 7.5743, 7.5745, 7.5745, 7.5743, 7.5742, 7.5741, 7.574, 7.5737, 7.5736, 7.5735, 7.5734, 7.5767, 7.5762, 7.5768, 7.5769, 7.5768, 7.5766, 7.5765, 7.5764, 7.5765, 7.5765, 7.5765, 7.5768, 7.5767, 7.5766, 7.5765, 7.5763, 7.5763, 7.5816, 7.5814, 7.5813, 7.5812, 7.5811, 7.5809, 7.5807, 7.5805, 7.5805, 7.5804, 7.5804, 7.5806, 7.5805, 7.5804, 7.5804, 7.5804, 7.5792, 7.578, 7.5784, 7.5784, 7.5783, 7.5782, 7.5783, 7.5783, 7.5772, 7.5773, 7.5777, 7.5782, 7.5783, 7.5782, 7.5771, 7.5759, 7.5758, 7.5757, 7.5757, 7.5758, 7.5757, 7.5754, 7.5755, 7.5744, 7.5733, 7.5731, 7.573, 7.5728, 7.5727, 7.5727, 7.5726, 7.5726, 7.5726, 7.5724, 7.5712, 7.5701, 7.5701, 7.5701, 7.5701, 7.5701, 7.5703, 7.5702, 7.5702, 7.5702, 7.5702, 7.5703, 7.5703, 7.5711, 7.5711, 7.5711, 7.5711, 7.571, 7.571, 7.5701, 7.5698, 7.5695, 7.5695, 7.5692, 7.5692, 7.5692, 7.5692, 7.5692, 7.569, 7.5691, 7.5689, 7.569, 7.569, 7.5689, 7.5681, 7.567, 7.5668, 7.5672, 7.5661, 7.5662, 7.567200000000001, 7.5669, 7.5669, 7.5658, 7.5658, 7.5658, 7.5658, 7.5657, 7.5667, 7.5665, 7.5666, 7.5665, 7.5662, 7.5661, 7.566, 7.5659, 7.566, 7.5659, 7.5658, 7.5657, 7.5656, 7.5657, 7.5657, 7.5656, 7.5655, 7.5654, 7.5643, 7.5644, 7.5645, 7.5646, 7.5645, 7.5644, 7.5643, 7.5643, 7.5643, 7.5643, 7.565300000000001, 7.5653, 7.5653, 7.564, 7.5639, 7.5639, 7.5638, 7.5644, 7.5644, 7.5641, 7.5641, 7.5641, 7.5641, 7.5641, 7.5641, 7.5641, 7.5641, 7.5643, 7.5643, 7.5643, 7.5643, 7.5643, 7.5642, 7.563, 7.5618, 7.5619, 7.5618, 7.5619, 7.562, 7.5619, 7.5618, 7.5617, 7.5616, 7.5621, 7.562, 7.5631, 7.5632, 7.5631, 7.5631, 7.5632, 7.5642000000000005, 7.5639, 7.5659, 7.5659, 7.5658, 7.5667, 7.5656, 7.5655, 7.5654, 7.5655, 7.5653, 7.5651, 7.565, 7.5648, 7.5647, 7.5646, 7.5645, 7.5645, 7.5646, 7.5647, 7.5647, 7.5651, 7.5651, 7.5661000000000005, 7.566, 7.5659, 7.5661, 7.5649, 7.5648, 7.5657, 7.5664, 7.5653, 7.5652, 7.5661, 7.566, 7.5658, 7.5656, 7.5655, 7.5653, 7.5652, 7.5651, 7.5649, 7.565, 7.5649, 7.5648, 7.5646, 7.5646, 7.5647, 7.5645, 7.5634, 7.5622, 7.5621, 7.5627, 7.5625, 7.5624, 7.5621, 7.561, 7.5609, 7.5608, 7.5607, 7.5609, 7.5609, 7.5607, 7.5606, 7.5603, 7.5602, 7.5601, 7.5601, 7.5601, 7.5601, 7.5599, 7.5599, 7.5587, 7.5597, 7.5597, 7.5597, 7.5586, 7.5574, 7.5572, 7.557, 7.5571, 7.5571, 7.5569, 7.5569, 7.5567, 7.5567, 7.5557, 7.5567, 7.5567, 7.5556, 7.5545, 7.5554, 7.5564, 7.5562, 7.5551, 7.5551, 7.5565, 7.5565, 7.5565, 7.5558, 7.5558, 7.5558, 7.5558, 7.5556, 7.5556, 7.5556, 7.5554, 7.5554, 7.5564, 7.5574, 7.5574, 7.557, 7.557, 7.5569, 7.5568, 7.5566, 7.5565, 7.5564, 7.5564, 7.5565, 7.5561, 7.556, 7.5559, 7.5559, 7.5559, 7.5559, 7.5558, 7.5559, 7.5558, 7.5557, 7.5557, 7.5558, 7.5568, 7.5567, 7.5555, 7.5546, 7.5562, 7.5562, 7.5551, 7.5549, 7.554, 7.5542, 7.5532, 7.5533, 7.5533, 7.5523, 7.5512, 7.5502, 7.5503, 7.5501, 7.5491, 7.5481, 7.548, 7.5479, 7.548, 7.5478, 7.5478, 7.5478, 7.5475, 7.5472, 7.5474, 7.5472, 7.5471, 7.5483, 7.5482, 7.5482, 7.5471, 7.5459, 7.5455, 7.5453, 7.5452, 7.5451, 7.545, 7.545, 7.5448, 7.5437, 7.5426, 7.5425, 7.5424, 7.5426, 7.5436000000000005, 7.5438, 7.5437, 7.5434, 7.5433, 7.5431, 7.5431, 7.5441, 7.544, 7.5434, 7.5433, 7.5434, 7.5433, 7.5432, 7.5433, 7.5431, 7.543, 7.5429, 7.5428, 7.5427, 7.5426, 7.5425, 7.5424, 7.5422, 7.5421, 7.542, 7.5419, 7.5418, 7.5418, 7.5416, 7.5415, 7.5413, 7.5413, 7.5404, 7.5393, 7.5404, 7.5405, 7.5404, 7.5404, 7.5406, 7.5406, 7.5406, 7.5406, 7.541600000000001, 7.5417, 7.5416, 7.5415, 7.5414, 7.5413, 7.5412, 7.5411, 7.5411, 7.5411, 7.541, 7.5409, 7.5408, 7.5408, 7.5409, 7.5398, 7.5399, 7.539, 7.5389, 7.5389, 7.5388, 7.5386, 7.5374, 7.5363, 7.5362, 7.5359, 7.535, 7.5345, 7.5348, 7.5347, 7.5346, 7.5335, 7.5324, 7.5323, 7.5325, 7.5324, 7.5323, 7.5323, 7.5323, 7.5326, 7.5328, 7.5332, 7.5321, 7.5321, 7.532, 7.531, 7.5328, 7.5338, 7.534800000000001, 7.535, 7.5349, 7.5338, 7.5336, 7.5335, 7.5334, 7.5338, 7.5328, 7.5327, 7.5325, 7.537, 7.537, 7.5376, 7.5376, 7.5374, 7.5373, 7.5372, 7.5373, 7.5372, 7.5404, 7.5403, 7.5401, 7.54, 7.5398, 7.5398, 7.5398, 7.5398, 7.5398, 7.5397, 7.5396, 7.5395, 7.5395, 7.5396, 7.5396, 7.5396, 7.5394, 7.5393, 7.5393, 7.5394, 7.5393, 7.5397, 7.5397, 7.5397, 7.5397, 7.5401, 7.5411, 7.541, 7.5404, 7.5415, 7.5409, 7.5414, 7.5416, 7.5417, 7.5418, 7.5416, 7.5416, 7.5416, 7.542, 7.5418, 7.5417, 7.5417, 7.5408, 7.5412, 7.5414, 7.5413, 7.541, 7.541, 7.5409, 7.5409, 7.5407, 7.5407, 7.5396, 7.5402, 7.5401, 7.54, 7.5399, 7.5425, 7.5425, 7.5427, 7.5428, 7.5428, 7.5428, 7.5434, 7.5436, 7.5443, 7.5443, 7.5443, 7.5443, 7.5442, 7.5445, 7.5444, 7.5459, 7.5459, 7.5458, 7.5456, 7.5456, 7.546600000000001, 7.5467, 7.5457, 7.5446, 7.5436, 7.5436, 7.5436, 7.5436, 7.5444, 7.5434, 7.5433, 7.5432, 7.5431, 7.5432, 7.5437, 7.5426, 7.5416, 7.5418, 7.5429, 7.543, 7.5429, 7.5427, 7.5426, 7.5425, 7.5424, 7.5421, 7.5423, 7.5424, 7.5425, 7.5424, 7.5423, 7.542, 7.5419, 7.5418, 7.5418, 7.5417, 7.5414, 7.5414, 7.5415, 7.5415, 7.5425, 7.5425, 7.5425, 7.5415, 7.5415, 7.5414, 7.5412, 7.541, 7.541, 7.541, 7.5408, 7.5408, 7.5411, 7.5414, 7.5414, 7.5419, 7.542, 7.5425, 7.5415, 7.5414, 7.5414, 7.5421, 7.5422, 7.5422, 7.5411, 7.5411, 7.5411, 7.5413, 7.5413, 7.5416, 7.5405, 7.5406, 7.5406, 7.5404, 7.5403, 7.5402, 7.5393, 7.5383, 7.5383, 7.5384, 7.5384, 7.5383, 7.5382, 7.5381, 7.538, 7.538, 7.5381, 7.538, 7.538, 7.538, 7.5369, 7.5369, 7.5369, 7.5369, 7.5369, 7.5369, 7.5379000000000005, 7.538900000000001, 7.539900000000001, 7.5399, 7.5399, 7.5389, 7.5379, 7.5379, 7.537, 7.5362, 7.5372, 7.5372, 7.5362, 7.536, 7.536, 7.5361, 7.5361, 7.536, 7.536, 7.5362, 7.5363, 7.5364, 7.5354, 7.5353, 7.5352, 7.5353, 7.5365, 7.5364, 7.5369, 7.5367, 7.5365, 7.5383, 7.5381, 7.5386, 7.5431, 7.5449, 7.5449, 7.5449, 7.5465, 7.5465, 7.5472, 7.5474, 7.5489, 7.5488, 7.5488, 7.5486, 7.5484, 7.5483, 7.5482, 7.5479, 7.5502, 7.55, 7.5499, 7.5497, 7.5496, 7.5495, 7.5494, 7.5494, 7.5494, 7.5493, 7.5493, 7.5491, 7.549, 7.549, 7.5489, 7.548, 7.5469, 7.5468, 7.5467, 7.5458, 7.5451, 7.545, 7.5449, 7.5449, 7.5439, 7.5428, 7.5431, 7.543, 7.5431, 7.5431, 7.543, 7.543, 7.5421, 7.5412, 7.5411, 7.541, 7.5411, 7.5405, 7.5396, 7.539, 7.538, 7.5382, 7.538, 7.5379, 7.5378, 7.5388, 7.5386, 7.5385, 7.5386, 7.5385, 7.5383, 7.5383, 7.5382, 7.5382, 7.5381, 7.537, 7.5362, 7.5361, 7.5355, 7.5345, 7.5345, 7.5344, 7.5332, 7.5324, 7.5325, 7.5324, 7.5324, 7.5323, 7.5324, 7.5322, 7.5321, 7.532, 7.5319, 7.5317, 7.5316, 7.5315, 7.5314, 7.5317, 7.5307, 7.5297, 7.5296, 7.5295, 7.5294, 7.5293, 7.5294, 7.5293, 7.5294, 7.5286, 7.5287, 7.5287, 7.5288, 7.5287, 7.5288, 7.5287, 7.5285, 7.5285, 7.5277, 7.5319, 7.531, 7.5311, 7.5311, 7.531, 7.531, 7.531, 7.531, 7.531, 7.5309, 7.5308, 7.5308, 7.5307, 7.5306, 7.5296, 7.5298, 7.5297, 7.5298, 7.5297, 7.5299, 7.5289, 7.5291, 7.5291, 7.529, 7.5321, 7.5322, 7.5321, 7.532, 7.5322, 7.5332, 7.5342, 7.5341, 7.534, 7.5341, 7.5332, 7.533, 7.5329, 7.5328, 7.5327, 7.5326, 7.5327, 7.5323, 7.5321, 7.5324, 7.5323, 7.5322, 7.5322, 7.5322, 7.5322, 7.5324, 7.5325, 7.5324, 7.5315, 7.5306, 7.5316, 7.5315, 7.5316, 7.5305, 7.5295, 7.5286, 7.5286, 7.5276, 7.5278, 7.5279, 7.5279, 7.527, 7.5269, 7.526, 7.5251, 7.5251, 7.5241, 7.5241, 7.5241, 7.5241, 7.5241, 7.5241, 7.5231, 7.523, 7.5233, 7.5232, 7.5232, 7.5231, 7.5222, 7.5228, 7.5233, 7.5237, 7.5236, 7.5238, 7.5235, 7.5235, 7.5235, 7.5235, 7.524500000000001, 7.5246, 7.5247, 7.5238, 7.5228, 7.5229, 7.522, 7.5209, 7.5265, 7.5265, 7.5264, 7.5264, 7.5264, 7.5265, 7.5265, 7.5265, 7.5265, 7.5269, 7.5267, 7.5267, 7.5268, 7.5267, 7.5269, 7.5269, 7.5267, 7.5277, 7.528700000000001, 7.5287, 7.5296, 7.5286, 7.5277, 7.5276, 7.5275, 7.5274, 7.5275, 7.5275, 7.5274, 7.5278, 7.527, 7.526, 7.5251, 7.525, 7.526000000000001, 7.526, 7.5258, 7.5248, 7.5254, 7.5255, 7.5254, 7.5253, 7.5244, 7.5243, 7.5242, 7.5241, 7.524, 7.5239, 7.527, 7.5271, 7.5272, 7.5269, 7.527, 7.5272, 7.5273, 7.5274, 7.5275, 7.5277, 7.5276, 7.5266, 7.5259, 7.5269, 7.527900000000001, 7.528900000000001, 7.5293, 7.5295, 7.5286, 7.5278, 7.5278, 7.528, 7.5279, 7.5278, 7.5277, 7.5276, 7.5275, 7.5274, 7.5284, 7.5284, 7.5285, 7.5276, 7.5267, 7.5267, 7.5268, 7.5267, 7.5277, 7.5278, 7.5277, 7.5267, 7.5276, 7.5277, 7.5276, 7.5277, 7.5279, 7.5278, 7.5277, 7.5277, 7.5278, 7.5268, 7.5258, 7.5258, 7.5257, 7.5257, 7.5256, 7.5261, 7.5251, 7.5242, 7.5241, 7.524, 7.524, 7.523, 7.5219, 7.5256, 7.5256, 7.5255, 7.5254, 7.5254, 7.5246, 7.5246, 7.5246, 7.5254, 7.5254, 7.5264, 7.5264, 7.5253, 7.5253, 7.5252, 7.5252, 7.5252, 7.5252, 7.525, 7.524, 7.5241, 7.5231, 7.5229, 7.5229, 7.5227, 7.5226, 7.5226, 7.5226, 7.5225, 7.5225, 7.5226, 7.5226, 7.5225, 7.5224, 7.5223, 7.5223, 7.5222, 7.5221, 7.5222, 7.5221, 7.522, 7.522, 7.5219, 7.522, 7.5218, 7.5216, 7.5216, 7.5216, 7.522600000000001, 7.523600000000001, 7.5236, 7.5236, 7.5228, 7.5232, 7.5232, 7.5232, 7.5231, 7.5221, 7.5221, 7.5221, 7.5221, 7.522, 7.521, 7.521, 7.5201, 7.5192, 7.5189, 7.5188, 7.5188, 7.5178, 7.5177, 7.5175, 7.5176, 7.5176, 7.5176, 7.5177, 7.5177, 7.5175, 7.5176, 7.5178, 7.5177, 7.5176, 7.5176, 7.5178, 7.518800000000001, 7.519800000000001, 7.5198, 7.5198, 7.5189, 7.5188, 7.5192, 7.5192, 7.5193, 7.5192, 7.5191, 7.5192, 7.5192, 7.5191, 7.5193, 7.5193, 7.5184, 7.5176, 7.5186, 7.5185, 7.5184, 7.5183, 7.5182, 7.5172, 7.5194, 7.5194, 7.5194, 7.5204, 7.5203, 7.5202, 7.5193, 7.5185, 7.5186, 7.5184, 7.5183, 7.5182, 7.5183, 7.5196, 7.5186, 7.5177, 7.5176, 7.5178, 7.518, 7.518, 7.518, 7.518, 7.5179, 7.5179, 7.5179, 7.518, 7.5179, 7.5179, 7.5179, 7.5179, 7.5178, 7.518, 7.5179, 7.5179, 7.5179, 7.5189, 7.519900000000001, 7.520900000000001, 7.5208, 7.5207, 7.5197, 7.5207, 7.5205, 7.5217, 7.522, 7.523000000000001, 7.524000000000001, 7.5238, 7.5274, 7.5266, 7.5256, 7.5247, 7.5257000000000005, 7.5256, 7.5246, 7.5237, 7.5228, 7.5233, 7.5233, 7.5232, 7.5231, 7.523, 7.523, 7.5232, 7.5232, 7.5234, 7.5235, 7.5235, 7.5235, 7.5235, 7.5237, 7.5238, 7.5238, 7.5238, 7.5236, 7.5249, 7.5249, 7.5247, 7.5247, 7.5247, 7.5247, 7.5245, 7.5246, 7.5246, 7.5246, 7.5247, 7.5246, 7.5245, 7.5246, 7.5247, 7.5247, 7.5246, 7.5237, 7.5237, 7.5237, 7.5237, 7.5237, 7.5228, 7.5228, 7.5219, 7.5209, 7.5207, 7.5207, 7.5207, 7.5207, 7.5209, 7.5209, 7.5209, 7.5209, 7.521, 7.5209, 7.5209, 7.5209, 7.5208, 7.5209, 7.5208, 7.5215, 7.5217, 7.5216, 7.5217, 7.5218, 7.5217, 7.5217, 7.5216, 7.5215, 7.5217, 7.5217, 7.5217, 7.5216, 7.5216, 7.5216, 7.5216, 7.5218, 7.5221, 7.5212, 7.5211, 7.5212, 7.5211, 7.5211, 7.521, 7.5209, 7.5208, 7.5207, 7.5206, 7.5205, 7.5206, 7.5205, 7.5204, 7.5202, 7.5203, 7.5204, 7.5204, 7.5205, 7.5204, 7.5203, 7.5201, 7.5202, 7.52, 7.5199, 7.519, 7.5179, 7.5178, 7.5177, 7.5168, 7.5159, 7.5158, 7.5148, 7.514, 7.5138, 7.5138, 7.5129, 7.5145, 7.5155, 7.5154, 7.5153, 7.5152, 7.5154, 7.5153, 7.5154, 7.5153, 7.5154, 7.5153, 7.5153, 7.5151, 7.515, 7.5148, 7.5148, 7.5147, 7.5145, 7.5145, 7.5145, 7.5144, 7.5144, 7.5145, 7.5146, 7.5146, 7.5146, 7.5148, 7.5148, 7.5148, 7.5148, 7.5152, 7.5162, 7.517200000000001, 7.517, 7.517, 7.5161, 7.5162, 7.5155, 7.5155, 7.5154, 7.5154, 7.5155, 7.5156, 7.5147, 7.5148, 7.515, 7.5141, 7.514, 7.5139, 7.5138, 7.5137, 7.5137, 7.5137, 7.5136, 7.5138, 7.5137, 7.5139, 7.5138, 7.5137, 7.5137, 7.5136, 7.5125, 7.5125, 7.5125, 7.5126, 7.5125, 7.5124, 7.5123, 7.5123, 7.5123, 7.5123, 7.5122, 7.5122, 7.5122, 7.5124, 7.5123, 7.5125, 7.5124, 7.5123, 7.5123, 7.5123, 7.513, 7.5121, 7.5121, 7.5121, 7.5123, 7.5142, 7.5142, 7.5144, 7.5144, 7.5144, 7.5145, 7.5145, 7.515, 7.515, 7.516, 7.516, 7.5161, 7.5161, 7.5161, 7.5161, 7.5159, 7.522, 7.5219, 7.5224, 7.5227, 7.5228, 7.5246, 7.5253, 7.5245, 7.5242, 7.524, 7.5239, 7.5244, 7.5236, 7.5235, 7.5235, 7.5234, 7.5236, 7.5236, 7.5234, 7.5234, 7.5234, 7.5233, 7.5232, 7.5232, 7.5232, 7.5231, 7.523, 7.5228, 7.5226, 7.5225, 7.5223, 7.5223, 7.5222, 7.5225, 7.5228, 7.5309, 7.5308, 7.5308, 7.5308, 7.5308, 7.5307, 7.5307, 7.5307, 7.5307, 7.5306, 7.5306, 7.5298, 7.529, 7.529, 7.529, 7.5305, 7.5305, 7.5303, 7.5302, 7.5306, 7.5297, 7.5296, 7.5294, 7.5293, 7.5292, 7.5291, 7.529, 7.5289, 7.5289, 7.5288, 7.5287, 7.5286, 7.5285, 7.5284, 7.5283, 7.5282, 7.5281, 7.528, 7.5279, 7.5278, 7.5277, 7.5276, 7.5275, 7.5274, 7.5272, 7.5271, 7.5271, 7.527, 7.5271, 7.5272, 7.5271, 7.527, 7.5269, 7.5268, 7.5267, 7.5266, 7.5265, 7.5266, 7.5266, 7.5265, 7.5265, 7.5264, 7.5262, 7.5261, 7.5262, 7.526, 7.5258, 7.5257, 7.5255, 7.5255, 7.5254, 7.5253, 7.5251, 7.5249, 7.5248, 7.5247, 7.5247, 7.5246, 7.5245, 7.5243, 7.5243, 7.5242, 7.5242, 7.5241, 7.524, 7.5239, 7.5238, 7.5238, 7.5238, 7.5237, 7.5236, 7.5234, 7.5233, 7.5232, 7.5232, 7.5231, 7.523, 7.5229, 7.5228, 7.5228, 7.5227, 7.5265, 7.5265, 7.5264, 7.5263, 7.5262, 7.5261, 7.526, 7.5258, 7.5257, 7.5257, 7.5258, 7.5257, 7.5256, 7.5257, 7.5256, 7.5254, 7.5254, 7.5258, 7.525, 7.525, 7.525, 7.5253, 7.5254, 7.5252, 7.5252, 7.5252, 7.5252, 7.5258, 7.5322, 7.5321, 7.5321, 7.5323, 7.5315, 7.5314, 7.5314, 7.5314, 7.5313, 7.5312, 7.5311, 7.531, 7.5308, 7.5307, 7.5306, 7.5305, 7.5304, 7.5304, 7.5304, 7.5303, 7.5302, 7.5301, 7.53, 7.5299, 7.5298, 7.5297, 7.5296, 7.5295, 7.5294, 7.5293, 7.5292, 7.5321, 7.5321, 7.532, 7.5319, 7.5318, 7.5318, 7.5325, 7.5324, 7.5323, 7.5322, 7.5321, 7.532, 7.5319, 7.5318, 7.5316, 7.5315, 7.5314, 7.5314, 7.5315, 7.5316, 7.5315, 7.5314, 7.5315, 7.5316, 7.5315, 7.5318, 7.5321, 7.5313, 7.5312, 7.5311, 7.531, 7.5309, 7.531, 7.5308, 7.5308, 7.5307, 7.5306, 7.5305, 7.5306, 7.5313, 7.5311, 7.531, 7.5308, 7.5308, 7.5306, 7.5306, 7.5317, 7.5318, 7.5318, 7.5319, 7.5319, 7.5319, 7.5319, 7.532, 7.5321, 7.5319, 7.5318, 7.5317, 7.5315, 7.5315, 7.5315, 7.5314, 7.5314, 7.5312, 7.5312, 7.5312, 7.5312, 7.531, 7.531, 7.531, 7.531, 7.531, 7.531, 7.531, 7.5309, 7.5309, 7.5309, 7.5308, 7.5306, 7.5306, 7.5306, 7.5306, 7.5306, 7.5306, 7.5308, 7.5315, 7.5328, 7.5328, 7.5328, 7.5328, 7.5328, 7.5327, 7.533, 7.5332, 7.5339, 7.5338, 7.5337, 7.5342, 7.5342, 7.536, 7.5359, 7.5358, 7.5357, 7.5365, 7.5366, 7.5366, 7.5366, 7.5365, 7.5364, 7.5363, 7.5362, 7.5362, 7.5362, 7.5361, 7.536, 7.5359, 7.5359, 7.5358, 7.5358, 7.5358, 7.5357, 7.5357, 7.5356, 7.5355, 7.5354, 7.5354, 7.5353, 7.5353, 7.5352, 7.5351, 7.535, 7.5349, 7.5348, 7.5348, 7.5348, 7.5347, 7.5347, 7.5346, 7.5346, 7.5338, 7.5337, 7.5336, 7.5336, 7.5336, 7.5336, 7.5336, 7.5335, 7.5335, 7.5341, 7.5339, 7.5343, 7.5344, 7.5343, 7.5342, 7.5342, 7.5341, 7.5339, 7.5337, 7.5336, 7.5339, 7.5341, 7.5343, 7.5342, 7.5341, 7.534, 7.5332, 7.5334, 7.5338, 7.5344, 7.5336, 7.5335, 7.5335, 7.5334, 7.5333, 7.5333, 7.5332, 7.533, 7.5329, 7.5328, 7.5327, 7.5327, 7.5327, 7.5327, 7.5326, 7.5325, 7.5326, 7.5324, 7.5322, 7.5321, 7.532, 7.5319, 7.5317, 7.5316, 7.5317, 7.5315, 7.5314, 7.5314, 7.5314, 7.5314, 7.5314, 7.5313, 7.5312, 7.5311, 7.5311, 7.531, 7.531, 7.5309, 7.5308, 7.5308, 7.5307, 7.5306, 7.5305, 7.5304, 7.5303, 7.5301, 7.5305, 7.5309, 7.5314, 7.5313, 7.5319, 7.5322, 7.532, 7.532, 7.532, 7.5328, 7.5329, 7.5329, 7.5328, 7.5326, 7.5326, 7.5326, 7.5326, 7.536, 7.536, 7.536, 7.5359, 7.5359, 7.5359, 7.5358, 7.5358, 7.5363, 7.5364, 7.5363, 7.5363, 7.5363, 7.5362, 7.5362, 7.536, 7.536, 7.5362, 7.5361, 7.5363, 7.5362, 7.5361, 7.5361, 7.536, 7.5359, 7.5358, 7.5357, 7.5357, 7.5357, 7.5357, 7.5356, 7.5356, 7.5356, 7.5356, 7.5355, 7.5356, 7.5357, 7.5356, 7.5357, 7.5357, 7.5358, 7.5358, 7.5358, 7.5358, 7.5358, 7.5358, 7.5358, 7.5371, 7.5371, 7.5371, 7.5371, 7.5371, 7.5371, 7.537, 7.5369, 7.5369, 7.5368, 7.5368, 7.5367, 7.5367, 7.5366, 7.5365, 7.5364, 7.5363, 7.5362, 7.5365, 7.537, 7.5369, 7.5374, 7.5366, 7.5366, 7.5364, 7.5363, 7.5362, 7.5362, 7.5362, 7.5362, 7.5361, 7.5361, 7.536, 7.536, 7.5361, 7.5361, 7.536, 7.5361, 7.536, 7.5359, 7.536, 7.5361, 7.5361, 7.5361, 7.5364, 7.5367, 7.5359, 7.5359, 7.5358, 7.5357, 7.5356, 7.5361, 7.536, 7.5361, 7.5361, 7.536, 7.5359, 7.5359, 7.536, 7.5359, 7.5358, 7.5369, 7.5368, 7.5367, 7.5366, 7.5365, 7.5364, 7.5365, 7.5366, 7.5365, 7.5364, 7.5363, 7.5362, 7.5361, 7.5361, 7.536, 7.5359, 7.5359, 7.5358, 7.5365, 7.5364, 7.5364, 7.5364, 7.5363, 7.5364, 7.5364, 7.5364, 7.5363, 7.5363, 7.5384, 7.5383, 7.5383, 7.5382, 7.5382, 7.5381, 7.538, 7.538, 7.538, 7.538, 7.5379]} rtt0_16_4 = {'192.168.122.113': [7.7531, 8.0705, 11.5147, 9.9182, 7.802, 10.2394, 7.5109, 7.7684, 7.9441, 21.7364, 7.3678, 7.0145, 8.2834, 7.8056, 5.8424, 8.0121, 7.6141, 9.8836, 8.121, 8.2254, 9.8071, 7.6926, 7.9246, 10.9382, 7.2851, 9.6378, 11.2822, 7.6065, 7.0524, 7.431, 7.8182, 7.6671, 10.0965, 10.7775, 13.1304, 7.9286, 7.8988, 7.8931, 11.7407, 7.5221, 7.5586, 6.6893, 7.4565, 9.7039, 8.1818, 10.4718, 7.4706, 6.6237, 7.5507, 7.7107, 10.1583, 8.1434, 7.8571, 10.6878, 7.4465, 8.4956, 8.6367, 8.445, 9.4612, 29.2318, 6.3093, 10.793, 7.7918, 7.9336, 7.9041, 6.9466, 13.8538, 9.9769, 6.7675, 8.1887, 8.3857, 8.5962, 10.931, 7.0457, 8.9569, 7.4391, 7.2944, 6.418, 7.6914, 8.2679, 7.4446, 8.2867, 7.1297, 9.5756, 7.0302, 7.375, 7.2811, 8.2614, 7.6783, 9.819, 8.0454, 9.8572, 7.8857, 10.7539, 7.6766, 7.0112, 9.7096, 7.102, 8.1556, 11.0815, 9.1746, 8.2479, 7.5872, 10.0167, 10.2735, 7.8406, 7.1077, 7.3304, 7.8008, 9.254, 10.8905, 7.2758, 7.6191, 6.6481, 6.9203, 9.5828, 7.7245, 7.7312, 7.879, 7.4465, 8.6317, 7.9472, 10.2417, 7.6737, 7.134, 10.9308, 7.7286, 10.8218, 7.8104, 8.2664, 10.8709, 6.1686, 7.1075, 8.2808, 8.0905, 11.4639, 7.7012, 8.297, 8.0938, 9.0423, 11.1713, 7.3197, 7.2832, 7.1547, 7.9896, 25.4743, 7.4291, 7.7353, 10.5224, 7.39, 10.8943, 8.2068, 7.2746, 7.6344, 7.2732, 7.2629, 7.3736, 8.1508, 9.419, 10.9987, 13.4909, 10.5572, 7.9596, 7.5727, 7.1588, 7.8113, 7.6206, 7.0651, 7.1704, 11.6942, 7.3917, 7.1843, 10.9909, 11.0655, 11.1129, 6.9592, 10.2501, 10.6692, 10.3052, 11.3904, 8.0545, 7.3166, 10.6246, 7.6165, 7.2877, 7.0548, 7.7634, 10.3083, 7.5638, 10.2022, 7.5076, 7.3631, 8.1739, 10.1907, 7.4952, 8.889, 7.3287, 8.8878, 10.469, 7.9899, 11.4794, 8.0531, 10.3002, 12.0714, 10.8559, 7.2653, 10.1976, 8.0621, 7.736, 10.2701, 7.4763, 8.1375, 7.3485, 12.0611, 8.2431, 7.724, 11.2727, 8.3699, 8.9929, 10.8392, 7.5808, 9.9313, 10.1309, 7.7317, 10.8385, 8.1239, 10.8714, 7.2463, 7.988, 7.5819, 7.5347, 9.7477, 7.2505, 10.8533, 10.4744, 8.1251, 10.3846, 7.72, 8.4915, 9.8364, 7.6654, 9.8963, 8.2655, 10.7393, 7.7543, 11.6343, 8.229, 8.5325, 10.9708, 10.6473, 7.3919, 7.9937, 14.5447, 7.0224, 7.0078, 10.0698, 11.5051, 7.1526, 8.0061, 9.5198, 7.149, 7.6554, 7.5243, 1.9324, 10.2427, 13.8617, 7.8123, 7.4363, 10.3226, 7.2501, 7.6938, 8.4746, 7.8492, 8.0695, 9.3949, 11.0347, 7.9873, 12.2464, 10.6692, 10.5371, 8.0597, 10.3211, 10.1454, 11.9395, 10.2513, 8.4078, 11.2476, 7.4728, 7.9837, 7.2954, 7.7984, 7.4341, 7.4062, 7.6158, 7.2198, 7.5965, 8.5497, 7.6072, 7.169, 7.6883, 7.7775, 8.8775, 10.6001, 7.2784, 11.5128, 13.7541, 8.2476, 11.4858, 10.3652, 8.4479, 8.6329, 10.071, 7.4048, 7.8671, 8.1363, 9.9812, 10.6502, 7.4921, 7.0035, 8.9822, 7.6616, 10.1638, 11.2751, 7.5877, 12.1348, 8.5058, 13.2291, 6.923, 22.2728, 8.5247, 7.9713, 10.8199, 10.7999, 9.5184, 8.1248, 8.338, 8.3144, 9.3901, 11.3873, 7.2052, 9.5026, 7.55, 7.261, 7.8952, 7.3404, 7.3841, 8.4434, 8.3878, 29.0749, 13.2902, 12.0163, 8.379, 11.9255, 10.0613, 6.2861, 7.251, 14.482, 7.6959, 10.8304, 10.3495, 7.7634, 10.349, 7.7028, 7.0758, 7.6308, 7.8971, 8.1041, 12.0482, 7.5619, 7.2007, 7.5479, 8.4682, 10.7436, 6.6872, 10.5095, 9.9151, 8.1336, 7.0169, 6.5868, 7.3719, 11.6427, 7.8864, 11.7202, 8.3814, 7.5166, 8.2431, 7.2088, 10.4139, 11.3318, 7.9162, 7.3504, 10.7243, 7.8018, 8.0163, 7.277, 8.2171, 8.43, 11.0228, 12.0022, 7.8454, 7.7319, 8.6255, 7.9758, 7.822, 7.3595, 10.5495, 7.6106, 7.4365, 10.6354, 7.5078, 7.6244, 13.9534, 7.0994, 7.6256, 11.4467, 6.7096, 8.3101, 7.3802, 7.9086, 7.7858, 7.2672, 7.3049, 7.5984, 7.957, 10.9971, 6.8607, 9.6204, 11.4243, 10.8614, 33.3905, 7.7605, 7.7071, 11.5335, 8.1067, 8.1544, 7.7946, 8.4398, 7.443, 7.6578, 7.5474, 11.2491, 7.5653, 11.9972, 10.5636, 6.5739, 7.2367, 11.9131, 10.4749, 7.7612, 11.0161, 8.7106, 6.8381, 7.8926, 7.947, 7.4341, 11.3642, 35.9118, 8.1341, 7.6625, 6.9432, 7.7975, 6.9602, 7.5603, 8.3172, 7.2801, 8.4944, 10.6831, 7.4048, 9.5708, 10.3056, 7.405, 7.8297, 6.8574, 7.5741, 7.2246, 7.4944, 7.483, 7.2978, 7.1819, 8.9078, 7.3066, 7.7109, 6.8233, 6.4702, 9.8915, 6.6955, 7.0012, 7.9715, 7.7536, 7.6106, 6.7058, 10.8588, 6.7639, 7.7562, 11.4806, 7.4604, 10.6907, 6.3584, 7.6234, 7.6559, 7.7209, 10.7489, 8.6372, 6.9754, 8.6024, 7.9834, 9.1329, 8.1136, 6.9935, 6.9814, 10.8752, 8.0378, 6.9227, 2.2645, 7.8473, 10.3972, 7.087, 8.5428, 8.0047, 7.0615, 7.364, 7.8313, 11.3797, 5.8551, 6.6755, 10.8888, 7.3249, 7.7529, 7.0913, 10.1764, 8.503, 7.8554, 7.9, 11.622, 8.6048, 7.5228, 7.7891, 6.8374, 13.5827, 8.1587, 7.983, 7.2777, 7.4482, 8.0132, 10.2828, 10.536, 8.1584, 8.1072, 7.6768, 7.1998, 6.6805, 10.0961, 6.8853, 10.2839, 6.7854, 7.0736, 7.5843, 7.7727, 7.1061, 7.977, 7.7152, 7.5476, 7.3838, 8.4038, 7.7586, 7.3364, 8.1556, 8.1203, 7.7021, 8.6658, 7.6733, 12.4304, 9.706, 11.4639, 7.829, 7.026, 8.7426, 7.3822, 7.9725, 7.8557, 7.7872, 7.8838, 10.6397, 8.1413, 9.4244, 7.6451, 7.6373, 8.8077, 8.069, 9.295, 10.9015, 8.353, 8.0447, 10.5283, 7.6969, 7.736, 8.183, 8.6243, 7.827, 8.122, 7.8506, 7.9336, 7.7691, 7.107, 9.1207, 27.8335, 7.2112, 7.3936, 7.6358, 7.6945, 7.8151, 7.2002, 6.8595, 7.6382, 7.1099, 7.3936, 7.3268, 8.4755, 7.6749, 7.1371, 8.182, 8.1999, 7.1251, 9.073, 8.7404, 9.8188, 7.4797, 7.3204, 8.3928, 9.0544, 10.7276, 8.0652, 7.5552, 7.1869, 8.1544, 7.3974, 7.4701, 10.3104, 7.6454, 7.7465, 7.3655, 7.5681, 7.3943, 10.2718, 8.2326, 7.4992, 7.3586, 7.3042, 7.1352], '192.168.122.112': [7.5727, 7.6408, 7.1273, 7.9618, 8.8415, 6.1419, 7.1001, 7.1306, 7.3211, 7.2658, 7.3054, 6.8507, 6.8455, 14.2376, 7.741, 7.1473, 7.3121, 7.0138, 7.3705, 7.9041, 7.3454, 7.6239, 7.5777, 6.9411, 7.4584, 6.7718, 6.541, 7.585, 7.6406, 7.0715, 6.619, 7.2277, 6.7418, 8.2219, 7.338, 9.0535, 8.6055, 8.9991, 7.2136, 8.0104, 6.8152, 6.7942, 7.3206, 6.819, 6.8581, 7.3452, 7.5376, 6.6259, 6.5513, 6.4168, 7.7381, 7.0968, 7.8862, 6.9706, 7.8819, 7.8177, 7.2565, 7.5035, 7.1828, 7.1518, 7.2792, 7.8993, 7.1869, 7.9243, 7.9293, 7.2393, 9.2688, 7.2911, 7.848, 7.8802, 6.0773, 6.8924, 6.6106, 6.639, 6.5429, 7.467, 6.3698, 6.4213, 7.7531, 7.4275, 6.9623, 6.7832, 6.7778, 6.8471, 7.3588, 6.7821, 6.906, 7.7856, 6.8445, 7.2138, 7.4422, 6.9101, 7.4904, 7.6687, 7.0608, 7.3223, 7.3178, 7.2987, 7.3197, 8.5275, 7.5223, 6.9094, 7.3185, 7.3254, 7.1516, 7.8244, 7.8151, 6.4178, 8.2092, 7.6609, 7.5428, 7.4706, 7.5235, 6.6736, 6.4726, 37.3039, 7.201, 8.1897, 8.1196, 7.899, 7.6396, 8.096, 7.1537, 7.2105, 7.2057, 6.7506, 7.4749, 7.7305, 7.5433, 7.8824, 7.7765, 6.7084, 7.3302, 8.3406, 8.713, 7.6559, 7.508, 7.6778, 7.6191, 8.5561, 7.2696, 7.5359, 7.3824, 7.3528, 7.3037, 7.1297, 7.3216, 7.3636, 6.4237, 7.0512, 7.0367, 7.9055, 7.339, 7.3357, 7.0262, 7.3576, 7.6571, 7.6566, 7.2923, 7.792, 6.9437, 6.5846, 7.8101, 7.0457, 7.062, 7.9002, 8.0714, 7.128, 7.9277, 7.8318, 7.0097, 7.8888, 7.3514, 8.3439, 7.3977, 7.2351, 8.0483, 7.3421, 7.3316, 7.1819, 7.7405, 7.3166, 7.6587, 7.6268, 7.2019, 7.1552, 7.9088, 6.9985, 6.9764, 7.6218, 7.031, 7.9174, 8.3592, 7.6873, 7.0305, 7.1633, 6.9799, 7.3931, 7.7424, 7.689, 6.6779, 8.3096, 7.396, 7.3464, 7.5078, 7.8139, 6.2196, 6.7728, 7.442, 7.3724, 7.3936, 7.8983, 7.6959, 7.443, 7.9339, 7.0448, 7.4937, 7.1516, 6.9592, 7.1676, 8.2097, 6.5794, 8.1434, 7.4563, 6.7735, 7.6287, 6.7847, 7.6342, 8.6894, 7.1976, 7.2608, 7.427, 7.8685, 8.2881, 7.8871, 7.9241, 7.5202, 7.4358, 7.2196, 7.1309, 7.9019, 6.7995, 8.1489, 13.891, 7.3469, 7.8716, 7.2095, 7.9992, 6.7842, 7.1447, 8.2662, 7.154, 7.1855, 7.484, 6.9315, 9.3584, 7.2501, 7.3502, 7.3647, 7.127, 7.1669, 7.0605, 7.1335, 7.0822, 10.2053, 7.9203, 7.8757, 11.7111, 7.9744, 7.9501, 7.8118, 7.9343, 7.9033, 7.4019, 7.5934, 6.5045, 8.1789, 7.5288, 7.7422, 7.4437, 8.1837, 6.8841, 7.6008, 6.9098, 7.7314, 6.9938, 7.0975, 6.9726, 6.7379, 7.5197, 7.5603, 7.5178, 7.7715, 7.5893, 7.6592, 7.5972, 7.5195, 6.51, 7.3583, 7.4248, 7.6854, 7.4482, 7.875, 7.602, 7.9205, 7.4739, 7.5433, 6.8214, 7.5467, 7.6787, 8.6551, 8.6377, 7.401, 7.4139, 8.1553, 7.4127, 7.5321, 7.3912, 6.5761, 7.3488, 7.6258, 6.6583, 6.6907, 7.5564, 8.1313, 6.9604, 7.3178, 7.4975, 7.925, 6.4132, 7.0653, 7.6592, 7.1106, 7.0474, 8.3308, 6.9573, 7.1325, 7.7214, 6.6619, 7.0646, 6.4631, 7.6551, 6.4437, 7.6542, 6.984, 7.9207, 7.2625, 8.2715, 6.8576, 7.5293, 7.5364, 7.0832, 7.7362, 7.3206, 7.2989, 7.0343, 6.9764, 7.6241, 7.9939, 7.8294, 7.4265, 7.1452, 7.8681, 7.4556, 8.0245, 7.0579, 7.4255, 7.4415, 7.4677, 7.1654, 6.9921, 7.169, 7.4739, 7.0257, 7.8008, 6.1672, 6.7639, 7.5264, 6.829, 7.5123, 6.8698, 7.8843, 7.8912, 7.874, 7.0927, 8.0104, 7.4513, 7.4546, 7.5891, 7.4558, 8.2698, 7.1096, 7.1335, 7.0868, 7.4048, 7.5018, 7.8824, 7.7572, 7.8392, 7.7999, 7.951, 7.9019, 8.0154, 7.5874, 7.5877, 7.1466, 8.3232, 6.8896, 7.648, 7.5357, 7.5727, 7.1304, 7.1189, 7.9434, 8.0736, 6.8269, 7.5691, 7.8776, 8.2669, 6.8622, 7.8864, 7.5223, 7.7317, 7.3395, 7.2472, 7.7128, 6.8662, 8.0078, 7.4062, 16.0, 7.7374, 6.9232, 7.6499, 8.0922, 6.8681, 7.0672, 7.5295, 6.9926, 7.0863, 8.0974, 7.072, 7.2162, 7.2341, 6.8457, 6.3248, 7.5071, 6.2709, 7.4902, 7.8037, 7.8278, 7.7617, 7.5684, 7.6833, 7.571, 7.5073, 7.5347, 7.231, 7.9122, 7.7431, 7.5669, 7.9765, 7.9999, 6.9437, 7.9308, 7.8022, 7.7913, 7.5686, 7.6089, 7.3636, 7.679, 7.3137, 7.3311, 6.3879, 6.8536, 6.5413, 7.1545, 7.2381, 6.3937, 6.8498, 7.3285, 7.3736, 7.3526, 6.8755, 6.4824, 7.8444, 7.7431, 7.8042, 7.8135, 8.2452, 6.8264, 6.7599, 7.9045, 7.0739, 7.0477, 7.0479, 7.4935, 7.5843, 7.7257, 7.2937, 7.2412, 7.2899, 7.5126, 7.5128, 7.6761, 6.3319, 31.1942, 7.7403, 7.7074, 7.2608, 7.1127, 7.7829, 7.8666, 6.9988, 7.0798, 7.6926, 7.8211, 7.884, 7.5276, 7.046, 7.082, 7.4303, 8.0538, 7.355, 6.9478, 6.9516, 6.9652, 7.3292, 7.8547, 7.6861, 7.6315, 7.6718, 7.6349, 7.6516, 7.6354, 8.703, 6.9866, 7.6427, 7.4258, 7.3171, 7.5171, 7.7093, 7.0009, 7.8099, 7.8967, 7.236, 7.5116, 7.7438, 7.7412, 7.8175, 7.2238, 7.8654, 7.1771, 7.1878, 7.7288, 6.9411, 6.983, 7.8189, 7.9045, 7.8659, 7.7453, 8.817, 7.8011, 7.062, 8.007, 6.8228, 7.5293, 7.103, 7.1096, 7.2844, 7.3645, 7.3633, 7.3533, 8.1446, 7.525, 7.3481, 6.8424, 6.4616, 7.7906, 16.752, 8.0149, 7.2241, 7.9978, 7.9453, 7.6833, 7.8328, 7.1793, 8.2552, 7.3142, 7.6592, 6.2439, 7.1628, 8.1253, 8.0938, 8.024, 6.8772, 6.6574, 7.3738, 7.4077, 6.6657, 7.5393, 7.3643, 7.9823, 7.8824, 7.0324, 7.6005, 7.1712, 7.2751, 7.1115, 7.8883, 6.8932, 7.7457, 7.252, 7.1776, 7.7331, 6.6803, 7.0667, 6.9494, 7.3962, 7.3664, 7.4365, 7.8075, 7.8266, 7.5889, 7.6859, 7.1692, 7.7622, 6.9702, 7.9412, 7.9272, 6.3076, 7.9341, 6.7067, 7.6344, 7.6418, 7.1154, 7.937, 7.941, 7.9086, 7.8692, 7.7116, 7.854, 7.8478, 7.6909, 7.6375, 7.4513, 6.6733, 7.654, 6.9253, 8.9769], '192.168.122.111': [8.2574, 7.6993, 12.2027, 6.1209, 7.3636, 6.3381, 7.833, 6.9196, 8.4527, 7.8139, 7.9556, 6.8769, 6.906, 7.3731, 6.9673, 7.381, 6.9783, 7.1871, 7.3891, 7.3187, 7.1704, 7.643, 7.5572, 7.0736, 7.5488, 7.3206, 6.4585, 7.6141, 7.0381, 7.0875, 6.8443, 7.4155, 7.2763, 7.369, 7.4222, 7.7953, 7.035, 7.6079, 7.2412, 7.2322, 6.4352, 7.3595, 6.8891, 7.3469, 7.3514, 7.3812, 6.6557, 7.6072, 6.8715, 6.3303, 7.7524, 7.1471, 7.8938, 7.8921, 7.885, 7.9029, 7.4253, 8.4474, 7.2501, 7.2119, 7.2017, 7.9713, 6.8872, 7.3781, 7.2367, 7.8602, 7.2532, 7.3581, 7.0124, 7.8673, 6.7189, 6.9914, 6.6969, 7.2186, 6.4323, 7.5109, 7.0186, 6.4325, 7.7372, 7.452, 6.9194, 6.8948, 10.3879, 6.8297, 6.8519, 6.8979, 7.3874, 7.9966, 7.3702, 6.7284, 7.6327, 7.4193, 7.4787, 7.6399, 7.0832, 7.3454, 7.3299, 7.3061, 7.3321, 7.2999, 7.4205, 7.7546, 7.3621, 7.3845, 7.9875, 7.0243, 7.9038, 7.6623, 8.2505, 7.7543, 7.5219, 7.3965, 7.5026, 6.9561, 6.6323, 6.9025, 7.3056, 7.3051, 7.3166, 7.854, 7.6876, 8.1313, 7.2963, 7.2443, 7.2436, 6.7821, 7.5951, 7.5145, 7.5641, 7.92, 7.7846, 7.776, 7.2985, 7.2935, 7.6814, 7.6895, 7.8359, 7.7052, 7.7188, 8.6191, 7.2999, 6.6605, 7.6079, 7.3831, 7.4661, 7.237, 7.3707, 7.9014, 7.4148, 7.0703, 7.0574, 8.0302, 7.2882, 7.314, 7.0653, 6.9077, 7.2448, 6.5074, 7.2486, 7.9732, 7.0546, 6.809, 7.277, 7.1325, 7.8671, 7.9532, 8.0926, 7.1354, 7.9443, 7.8669, 6.902, 6.9108, 7.4742, 8.3852, 7.3595, 7.1807, 8.1773, 7.3631, 6.5203, 7.2546, 7.6478, 7.3423, 7.8845, 6.7956, 7.2503, 7.4346, 7.2651, 7.8313, 6.9668, 7.0567, 7.6387, 7.9584, 7.448, 7.4048, 7.6146, 7.3497, 7.1838, 7.4229, 8.9428, 7.7467, 6.6681, 7.4208, 7.3905, 7.4048, 7.2165, 7.7171, 6.9332, 6.7792, 6.9418, 7.5316, 7.4565, 7.9496, 7.7, 8.3091, 7.2317, 7.8065, 7.453, 8.1592, 6.9618, 7.0605, 7.426, 6.5913, 8.234, 7.4894, 7.6535, 7.6296, 7.6063, 6.7651, 7.7369, 7.1156, 7.3359, 7.5927, 7.6985, 8.2896, 7.8142, 7.9467, 7.5061, 7.5591, 7.7796, 7.0984, 7.0968, 6.9377, 7.0629, 6.8779, 7.3204, 7.8473, 8.188, 7.2682, 6.8984, 7.144, 8.3051, 7.3848, 7.586, 7.5235, 7.7386, 8.1363, 7.0865, 7.6091, 7.4146, 7.1785, 7.3135, 6.9621, 7.1015, 7.2219, 7.431, 7.9334, 7.9176, 7.3502, 7.9737, 8.0655, 6.8936, 7.9629, 7.8578, 7.4537, 7.611, 7.1316, 8.2526, 7.5409, 7.6556, 6.8889, 7.5445, 6.8963, 7.0376, 7.0052, 7.8785, 7.9467, 7.0319, 6.9942, 6.8052, 10.0658, 7.5557, 7.5057, 7.7372, 7.6625, 6.8796, 7.6244, 7.5915, 6.5742, 7.4186, 7.4265, 7.2305, 6.7177, 6.8283, 7.7577, 7.7088, 7.0126, 7.5223, 7.5281, 6.8831, 7.6396, 7.3881, 7.4289, 7.4403, 7.4501, 7.2951, 7.6652, 7.5493, 7.4089, 6.6035, 7.4782, 7.7894, 6.6555, 6.6407, 7.5543, 7.4773, 6.8302, 7.3097, 7.4112, 7.9494, 6.2649, 7.7806, 7.7431, 7.1709, 7.7817, 6.9292, 6.9654, 7.1719, 7.1619, 12.8906, 7.0348, 7.0148, 7.0982, 7.669, 7.7105, 6.2478, 7.2315, 8.338, 7.3018, 6.8438, 7.5569, 7.3199, 7.9, 7.3318, 7.3311, 7.5729, 6.866, 6.9411, 7.0095, 7.9985, 7.8752, 7.4408, 7.1242, 7.9095, 7.0331, 7.3373, 8.2262, 7.483, 8.209, 7.452, 7.3042, 7.1921, 6.664, 7.1697, 6.8405, 7.3342, 7.0343, 6.8896, 7.4883, 7.2265, 7.5405, 6.8793, 8.1391, 7.9322, 8.1587, 7.1247, 7.9548, 7.4277, 7.4861, 6.7334, 7.6566, 7.7083, 7.1423, 7.0331, 7.0853, 7.3829, 7.5617, 7.9098, 7.7567, 7.8127, 7.8273, 7.6594, 7.8464, 8.0388, 7.6048, 7.782, 7.1082, 8.3606, 8.1179, 7.5834, 7.4615, 7.6091, 7.1125, 7.1619, 8.0791, 8.3179, 6.4325, 6.8209, 7.5533, 7.2894, 8.0044, 7.2484, 7.2708, 7.7441, 7.354, 7.2131, 7.8907, 6.8464, 7.3028, 7.4573, 32.4538, 7.0055, 6.9044, 7.6892, 8.0795, 7.1156, 8.1303, 6.6917, 7.2691, 8.0717, 7.056, 7.3068, 13.9406, 6.3524, 7.5641, 6.3679, 7.5445, 7.8416, 6.9661, 7.7994, 7.8533, 6.6597, 7.6292, 7.6299, 7.5586, 7.5524, 7.5693, 7.272, 7.8278, 7.7426, 7.1683, 6.9983, 8.0597, 6.9933, 7.9618, 7.508, 7.8263, 7.689, 6.717, 7.3743, 7.7415, 7.3736, 7.4444, 6.8066, 7.3502, 8.028, 7.2892, 7.3225, 6.8653, 6.87, 7.421, 7.4441, 7.3752, 6.393, 6.391, 7.3583, 7.0407, 7.005, 7.8049, 7.3059, 7.5874, 6.8395, 8.0199, 7.0772, 7.128, 7.9138, 7.617, 7.2036, 7.3316, 7.2563, 7.3395, 7.6978, 7.4878, 7.5104, 6.6283, 8.533, 7.4496, 7.7972, 7.7312, 6.413, 7.9007, 7.107, 7.8189, 6.9821, 7.4637, 7.5574, 7.8857, 7.9489, 7.5462, 6.942, 7.0927, 7.4112, 8.0435, 6.9346, 6.8514, 7.4298, 6.969, 7.4866, 7.3738, 7.6635, 7.6869, 7.6396, 7.2677, 7.6292, 8.6143, 7.6244, 6.9675, 7.6377, 7.4298, 7.309, 7.122, 6.6206, 7.1135, 7.782, 7.0868, 7.3326, 7.5066, 7.8001, 7.7622, 7.2169, 7.2191, 7.9241, 7.2255, 7.0896, 7.1142, 7.0238, 7.0288, 7.7665, 7.3533, 7.9727, 7.8154, 8.0159, 7.8628, 7.1299, 8.0438, 7.7271, 7.5517, 7.1852, 7.8647, 7.3483, 7.5514, 7.3955, 7.3445, 8.1482, 6.9304, 6.8502, 5.316, 6.5017, 7.9005, 6.8798, 8.024, 7.3187, 7.9889, 8.0299, 7.7171, 7.93, 7.266, 8.3153, 7.2827, 7.3144, 7.2689, 7.107, 8.1577, 8.182, 6.9177, 7.0081, 7.4506, 7.4041, 7.3864, 7.4275, 7.6735, 7.4251, 7.4191, 7.9498, 7.0541, 6.5973, 7.2398, 7.1909, 6.3703, 7.916, 6.8974, 7.4914, 7.3464, 7.2091, 7.7171, 7.1802, 6.8088, 7.2074, 7.4379, 7.4348, 7.4453, 7.8413, 7.8542, 7.6089, 7.7155, 7.3993, 6.9325, 7.8592, 7.2308, 7.9789, 27.2431, 7.4003, 7.8406, 6.7821, 7.6394, 7.9725, 7.1037, 8.0035, 7.0517, 7.9405, 7.92, 7.8666, 7.8685, 7.7264, 7.6668, 7.4909, 7.127, 7.6883, 7.2966, 6.6161]} cpu0_16_4 = [62.0, 38.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] off_mec0_16_4 = 233 off_cloud0_16_4 = 286 inward_mec0_16_4 = 0 loc0_16_4 = 1828 deadlock0_16_4 = [10] memory0_16_4 = [8.5979, 8.921, 8.9898, 9.0629, 9.6961, 9.7501, 9.807, 9.7012, 9.7016, 9.706, 9.706, 9.706, 9.7132, 9.7593, 9.8213, 9.8221, 9.8232, 9.8236, 9.824, 9.8244, 9.8248, 9.8256, 9.8395, 9.8399, 9.8399, 9.8407, 9.8407, 9.8415, 9.8415, 9.8419, 9.8435, 9.8439, 9.8443, 9.8447, 9.8447, 9.8447, 9.8447, 9.8447, 9.8495, 9.8503, 9.8507, 9.8507, 9.8507, 9.8507, 9.8507, 9.8515, 9.8523, 9.8523, 9.8523, 9.8523, 9.8523, 9.8523, 9.8523, 9.8642, 9.865, 9.865, 9.865, 9.865, 9.865, 9.865, 9.865, 9.8849, 9.886, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8872, 9.8936, 9.9019, 9.9019, 9.9019, 9.9019, 9.9019, 9.9019, 9.9019, 9.9067, 9.9067, 9.9067, 9.9067, 9.9067, 9.9071, 9.9071, 9.9071, 9.9071, 9.9071, 9.9071, 9.9075, 9.9075, 9.9075, 9.9075, 9.9242, 9.925, 9.925, 9.925, 9.925, 9.925, 9.925, 9.925, 9.925, 9.9262, 9.9262, 9.9262, 9.9262, 9.9262, 9.9262, 9.9429, 9.9437, 9.9437, 9.9437, 9.9437, 9.9437, 9.9437, 9.95, 9.952, 9.952, 9.952, 9.952, 9.952, 9.952, 9.952, 9.952, 9.9528, 9.9528, 9.9528, 9.9528, 9.9528, 9.9528, 9.9528, 9.9544, 9.9544, 9.9544, 9.9544, 9.9544, 9.9544, 9.9544, 9.9596, 9.9596, 9.9596, 9.9596, 9.9596, 9.9596, 9.9596, 9.9596, 9.9616, 9.9604, 9.9604, 9.9604, 9.9604, 9.9604, 9.9604, 9.9604, 9.9624, 9.9632, 9.9632, 9.9632, 9.9632, 9.9636, 9.9636, 9.9636, 9.9691, 9.9691, 9.9691, 9.9691, 9.9691, 9.9691, 9.9691, 9.9691, 9.9719, 9.9719, 9.9719, 9.9719, 9.9719, 9.9719, 9.9719, 9.9779, 9.9791, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9802, 9.9822, 9.9822, 9.9822, 9.9822, 9.9822, 9.9822, 9.9822, 10.0001, 10.0001, 10.0001, 10.0001, 10.0001, 10.0001, 10.0001, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0009, 10.0085, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0093, 10.0101, 10.0101, 10.0101, 10.0101, 10.0101, 10.0101, 10.0101, 10.0101, 10.0109, 10.0109, 10.0109, 10.0109, 10.0109, 10.0109, 10.0116, 10.0144, 10.0144, 10.0144, 10.0144, 10.0144, 10.0144, 10.016, 10.0176, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0184, 10.0192, 10.0279, 10.0291, 10.0291, 10.0291, 10.0291, 10.0291, 10.0291, 10.0291, 10.0351, 10.0351, 10.0351, 10.0351, 10.0351, 10.0351, 10.0351, 10.0442, 10.047, 10.047, 10.047, 10.047, 10.047, 10.047, 10.0502, 10.0522, 10.0522, 10.0522, 10.0522, 10.0522, 10.0522, 10.0522, 10.0534, 10.0581, 10.0581, 10.0581, 10.0581, 10.0581, 10.0581, 10.0581, 10.0593, 10.0625, 10.0625, 10.0625, 10.0625, 10.0625, 10.0625, 10.0625, 10.0633, 10.0641, 10.0641, 10.0669, 10.0669, 10.0669, 10.0669, 10.0669, 10.0701, 10.0709, 10.0709, 10.0709, 10.0709, 10.0721, 10.0744, 10.0744, 10.078, 10.078, 10.078, 10.078, 10.078, 10.078, 10.078, 10.0804, 10.0856, 10.0856, 10.0856, 10.0856, 10.0856, 10.0856, 10.0856, 10.0856, 10.0864, 10.0864, 10.0864, 10.0864, 10.0864, 10.0864, 10.0868, 10.0915, 10.0915, 10.0915, 10.0915, 10.0915, 10.0915, 10.0915, 10.0927, 10.0971, 10.0971, 10.0971, 10.0971, 10.0971, 10.0971, 10.0971, 10.0983, 10.0983, 10.0983, 10.0983, 10.0983, 10.0983, 10.0983, 10.1011, 10.1039, 10.1039, 10.1039, 10.1039, 10.1039, 10.1039, 10.1039, 10.1082, 10.109, 10.109, 10.109, 10.109, 10.109, 10.109, 10.109, 10.1134, 10.1142, 10.1142, 10.1142, 10.1142, 10.1142, 10.1146, 10.1194, 10.1202, 10.1202, 10.1202, 10.1202, 10.1202, 10.1202, 10.1202, 10.1249, 10.1253, 10.1253, 10.1253, 10.1253, 10.1253, 10.1253, 10.1289, 10.1321, 10.1321, 10.1321, 10.1321, 10.1321, 10.1321, 10.1357, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.142, 10.1424, 10.1464, 10.1476, 10.1476, 10.1456, 10.1456, 10.1456, 10.1456, 10.1456, 10.148, 10.148, 10.148, 10.148, 10.148, 10.148, 10.148, 10.148, 10.1531, 10.1531, 10.1531, 10.1531, 10.1531, 10.1531, 10.1531, 10.1547, 10.1547, 10.1547, 10.1547, 10.1547, 10.1547, 10.1547, 10.1547, 10.1627, 10.1627, 10.1655, 10.1655, 10.1655, 10.1655, 10.1655, 10.1841, 10.1901, 10.1901, 10.1901, 10.1901, 10.1901, 10.1901, 10.1901, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1925, 10.1929, 10.1992, 10.2064, 10.2064, 10.2064, 10.2064, 10.2064, 10.2064, 10.2064, 10.2124, 10.2124, 10.2124, 10.2124, 10.2124, 10.2155, 10.2155, 10.2155, 10.2159, 10.2159, 10.2203, 10.2203, 10.2203, 10.2203, 10.2203, 10.2219, 10.2287, 10.2287, 10.2287, 10.2287, 10.2287, 10.2287, 10.2287, 10.239, 10.239, 10.239, 10.239, 10.239, 10.239, 10.239, 10.239, 10.239, 10.2287, 10.2287, 10.2287, 10.2287, 10.2287, 10.2287, 10.2287, 10.2322, 10.2322, 10.2322, 10.2322, 10.2322, 10.2322, 10.2322, 10.2322, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2374, 10.2406, 10.266, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2712, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2744, 10.2795, 10.2795, 10.2799, 10.2799, 10.2799, 10.2799, 10.2799, 10.2819, 10.2819, 10.2819, 10.2819, 10.2819, 10.2819, 10.2819, 10.2819, 10.2819, 10.2819] task_received0_16_4 = 2347 sent_t0_16_4 = {'124': 856, '126': 740, '125': 751} cooperate0_16_4 = {'mec': 233, 'cloud': 286} task_record0_16_4 = {} outward_mec0_16_4 = 0 offload_check0_16_4 = [0, 0]
couponTypeId = None def getImportCouponTypeId(database): if couponTypeId is not None: return couponTypeId with database.cursor as cursor: query = "SELECT id FROM coupon_type WHERE type_name = 'IMPORTED'" for row in cursor.execute(query): return row.id query = """INSERT INTO coupon_type(type_name, type_description) OUTPUT inserted.id VALUES('IMPORTED', 'IMPORTED')""" return cursor.execute(query).fetchone()[0] couponDict = {} def createCouponIfNotExists(database, couponName): couponName = couponName.upper() if couponName in couponDict: return couponDict[couponName] with database.cursor as cursor: query = 'SELECT id FROM coupon WHERE name = ?' args = [couponName] for row in cursor.execute(query, args): couponDict[couponName] = row.id return row.id query = '''INSERT INTO coupon(coupon_type_id, name, discription, coupon_nr, date_from, date_to) OUTPUT inserted.id VALUES(?, ?, '', -1, GETDATE(), GETDATE())''' args = [getImportCouponTypeId(database), couponName] id = cursor.execute(query, args).fetchone()[0] couponDict[couponName] = id return id
a=[] for x in range(1,101): if x%3==0: a.append('Fizz') elif x%5==0: a.append('Buzz') elif x%3==0 and x%5==0: a.append("FizzBuzz") else: a.append(x) print(*a)
def menu_tree_to_vue(menus): res = [] for menu in menus: tmp = { 'id': menu.id, 'name': menu.name, 'path': menu.path, 'component': menu.component, 'hidden': menu.is_show is False, 'meta': { 'title': menu.title, 'icon': menu.icon, 'no_cache': menu.is_cache is False, 'roles': [role.slug for role in menu.roles.all()] } } if hasattr(menu, 'children'): tmp['children'] = menu_tree_to_vue(menu.children) res.append(tmp) return res class PermInspector(object): """ 权限判断 """ SUPER_ADMIN_IDS = [1] def is_super_admin(self, user): if not user: return False if user.id in self.SUPER_ADMIN_IDS: return True if not user.role_slugs: return False if 'super_admin' in user.role_slugs: return True return False def check_role(self, user, role_slugs): """ 检查用户角色 :param user: :param role_slugs: :return: """ if self.is_super_admin(user): return True if not role_slugs: return True user_role_slugs = user.role_slugs if not user_role_slugs: return False inter_slugs = list(set(user_role_slugs) & set(role_slugs)) if inter_slugs: return True return False perm_inspector = PermInspector()
cube = lambda x: x ** 3 # complete the lambda function def fibonacci(n): # return a list of fibonacci numbers a = 0 b = 1 for i in range(n): yield a a, b = b, a + b def main(): n = int(input()) print(list(map(cube, fibonacci(n)))) if __name__ == '__main__': main()
r1 = float(input('1° segmento: ')) r2 = float(input('2° segmento: ')) r3 = float(input('3° segmento: ')) print('==' * 20) if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r2 + r1: print('Os segmentos acima FORMAM um triângulo!') else: print('Os segmentos NÃO FORMAM um triângulo!')
''' 面试题57 - II. 和为s的连续正数序列 输入一个正整数 target ,输出所有和为 target 的连续正整数序列(至少含有两个数)。 序列内的数字由小到大排列,不同序列按照首个数字从小到大排列。 示例 1: 输入:target = 9 输出:[[2,3,4],[4,5]] 示例 2: 输入:target = 15 输出:[[1,2,3,4,5],[4,5,6],[7,8]] 限制: 1 <= target <= 10^5 ''' # test cases: # 1. target<3: return [] # 2. no qualified result: input 4, 8... # 3. normal test: might contain more than one qualified list # 执行用时 :204 ms, 在所有 Python3 提交中击败了52.83%的用户 # 内存消耗 :13.7 MB, 在所有 Python3 提交中击败了100.00%的用户 class Solution: def findContinuousSequence(self, target: int) -> List[List[int]]: if target<3: return [] elif target==3: return [[1,2]] else: small = 1 big = 2 result = [] Sn = small+big limit = int((target+1)/2) while small<limit and big>small: # 6:3, 9:5 if Sn==target: temp = list(range(small,big+1)) result.append(temp) Sn-=small small+=1 elif Sn<target: big+=1 Sn+=big else: #Sn>target Sn-=small small+=1 return result ''' # 执行用时 :284 ms, 在所有 Python3 提交中击败了40.24%的用户 # 内存消耗 :13.6 MB, 在所有 Python3 提交中击败了100.00%的用户 class Solution: def findContinuousSequence(self, target: int) -> List[List[int]]: if target<3: return [] elif target==3: return [[1,2]] else: small = 1 big = 2 result = [] while small<int((target+1)/2) and big>small: # 6:3, 9:5 Sn = (small+big)*(big-small+1)/2 if Sn==target: temp = list(range(small,big+1)) result.append(temp) small+=1 elif Sn<target: big+=1 else: #Sn>target small+=1 return result '''
#!/usr/bin/env python3 """ Exception used in the AutoTag project """ class BaseAutoTagException(Exception): """Base exception for the AutoTag project.""" class DetectorValidationException(BaseAutoTagException): """Validation failed on a detector""" class DetectorNotFound(BaseAutoTagException): """Validation failed on a detector""" class ConfigurationError(BaseAutoTagException): """Validation failed on a detector""" class CantFindBranch(BaseAutoTagException): """Can't find a specific branch""" class UnknowkSearchStrategy(BaseAutoTagException): """Invalid search strategy."""
def get_x_request_id(metadata): """ Returning x-request-id from response metadata :param metadata: response metadata from one of VoiceKit methods return: None if x-request-id don't contain in metadata """ x_request_id = tuple(filter(lambda x: x[0] == 'x-request-id', metadata)) if x_request_id: x_request_id = x_request_id[0][1] return x_request_id return None
class Node: def __init__(self, key="", val=-1, prev=None, next=None): self.key = key self.val = val self.prev = prev self.next = next class LRUCache: """ @param: capacity: An integer """ def __init__(self, capacity): self.capacity = capacity self.mapping = {} self.head = None self.tail = None """ @param: key: An integer @return: An integer """ def get(self, key): if key not in self.mapping: return -1 node = self.mapping[key] self.__moveToHead(node) return node.val """ @param: key: An integer @param: value: An integer @return: nothing """ def set(self, key, value): if key not in self.mapping: if len(self.mapping) >= self.capacity: self.__removeTail() new_node = Node(key, value, None, self.head) self.mapping[key] = new_node if self.head: self.head.prev = new_node self.head = new_node if self.tail is None: self.tail = self.head else: node = self.mapping[key] node.val = value self.__moveToHead(node) def __moveToHead(self, node): if node is self.head: return if node.prev: node.prev.next = node.next if node.next: node.next.prev = node.prev if node is self.tail: self.tail = node.prev self.head.prev = node node.next = self.head self.head = node def __removeTail(self): if self.tail.prev: self.tail.prev.next = None del self.mapping[self.tail.key] self.tail = self.tail.prev
# SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = ['*'] # TODO: to env TIME_ZONE = 'Europe/Helsinki' # TODO: to env FIRST_DAY_OF_WEEK = 1 MONTH_DAY_FORMAT = 'j F '
# Random Comment x = 3 y = x + 2 y = y * 2 print(y)
a = ('zero', 'um', 'dois', 'três', 'quatro', 'cinco', 'seis', 'sete', 'oito', 'nove', 'dez', 'onze', 'doze', 'treze', 'cartoze', 'quinze') n = int(input('DIGITE UM NÚMERO DE 0 A 15: ')) if n > 15 or n < 0: while True: n = int(input('DIGITE UM NÚMERO DE 0 A 15: ')) if 0 <= n <= 15: break print(f'Você digitou o numéro {a[n]}')
# Anti Diagonals # https://www.interviewbit.com/problems/anti-diagonals/ # # Give a N*N square matrix, return an array of its anti-diagonals. Look at the example for more details. # # Example: # # Input: # # 1 2 3 # 4 5 6 # 7 8 9 # # Return the following : # # [ # [1], # [2, 4], # [3, 5, 7], # [6, 8], # [9] # ] # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # class Solution: # @param A : list of list of integers # @return a list of list of integers def diagonal(self, A): res = [list() for i in range(2 * len(A) - 1)] for i in range(len(A)): for j in range(len(A)): res[i + j].append(A[i][j]) return res # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # if __name__ == "__main__": s = Solution() print(s.diagonal([ [1, 2, 3], [4, 5, 6], [7, 8, 9], ]))
def extractPenguTaichou(item): """ Pengu Taichou """ vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title']) if not (chp or vol or frag) or 'preview' in item['title'].lower(): return None if item['title'].lower().startswith('sword shisho chapter'): return buildReleaseMessageWithType(item, 'I was a Sword when I Reincarnated!', vol, chp, frag=frag, postfix=postfix) return False
orders = ["daisy", "buttercup", "snapdragon", "gardenia", "lily"] # Create new orders here: new_orders = ["lilac", "iris"] orders_combined = orders + new_orders broken_prices = [5, 3, 4, 5, 4] + [4]
# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://opensource.org/licenses/MIT 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. """ # 存储 pipeline 结构的字典 pipeline_1 = { "id": "p1", # 该 pipeline 的 id "name": "name", "start_event": {"id": "", "name": "", "type": "EmptyStartEvent", "incoming": None, "outgoing": "outgoing_flow_id"}, "end_event": {"id": "", "name": "", "type": "EmptyEndEvent", "incoming": "incoming_flow_id", "outgoing": None}, "activities": { # 存放该 pipeline 中所有的 task,包含:起始任务,结束任务,子 pipeline "n1": { "id": "n1", "type": "ServiceActivity", "name": "", "incoming": "f1", "outgoing": "f2", "component": { "tag_code": "", "data": { "env_id": {"hook": True, "constant": "${_env_id}", "value": ""}, "another_param": {"hook": True, "constant": "${_another_param}", "value": ""}, }, }, }, "n2": {"id": "n2", "type": "SubProcess", "name": "", "incoming": "f3", "outgoing": "f4", "template_id": ""}, }, "flows": { # 存放该 Pipeline 中所有的线 "f1": {"id": "f1", "source": "n1", "target": "n2", "is_default": False}, "f2": {"id": "f2", "source": "n2", "target": "n3", "is_default": False}, }, "gateways": { # 这里存放着网关的详细信息 "g2": { "id": "g2", "type": "ExclusiveGateway", "name": "", "incoming": "flow_id_0", "outgoing": ["flow_id_1", "flow_id_2"], "data_source": "activity_id", "conditions": { "flow_id_1": {"evaluate": "result > 10"}, # 判断条件 "flow_id_2": {"evaluate": "result < 10"}, # 判断条件 }, "converge_gateway_id": "converge_gateway_id", }, "g3": { "id": "g3", "type": "ConvergeGateway", "name": "", "incoming": ["flow_id_3", "flow_id_4"], "outgoing": "flow_id_5", }, }, "constants": { # 全局变量 # '${_env_id}': { # 'name': '', # 'key': '${_env_id}', # 'desc': '', # 'tag_type': 'input_var', # 'validation': '^\d+$', # 'show_type': 'show', # 'tag_code': '${_env_id}', # 'value': '', # 'data': { # 'set': { # 'value': '${set}', # 'constant': '', # 'hook': 'off', # }, # 'module': { # 'value': '${module}', # 'constant': '', # 'hook': 'off', # } # } # }, "${_env_id}": { "name": "", "key": "${_env_id}", "desc": "", "tag_type": "input_var", "validation": r"^\d+$", "show_type": "show", "tag_code": "${_env_id}", "value": "11", }, }, }
# За студио, при повече от 7 нощувки през май и октомври : 5% намаление. # За студио, при повече от 14 нощувки през май и октомври : 30% намаление. # За студио, при повече от 14 нощувки през юни и септември: 20% намаление. # За апартамент, при повече от 14 нощувки, без значение от месеца : 10% намаление. month = input() nights = int(input()) studio = 0 apartment = 0 if month == "May" or month == "October": if 7 < nights <= 14: studio = 50 - 50 * 5 / 100 apartment = 65 price_studio = studio * nights price_apartment = apartment * nights elif nights > 14: studio = 50 - 50 * 30 / 100 apartment = 65 - 65 * 10 / 100 price_studio = studio * nights price_apartment = apartment * nights else: studio = 50 apartment = 65 price_studio = studio * nights price_apartment = apartment * nights elif month == "June" or month == "September": if nights > 14: studio = 75.20 - 75.20 * 20 / 100 apartment = 68.70 - 68.70 * 10 / 100 price_studio = studio * nights price_apartment = apartment * nights else: studio = 75.20 apartment = 68.70 price_studio = studio * nights price_apartment = apartment * nights elif month == "July" or month == "August": if nights > 14: studio = 76 apartment = 77 - 77 * 10 / 100 price_studio = studio * nights price_apartment = apartment * nights else: studio = 76 apartment = 77 price_studio = studio * nights price_apartment = apartment * nights print(f"Apartment: {price_apartment:.2f} lv.") print(f"Studio: {price_studio:.2f} lv.")
nomes = [0,0,0,0,0,0,0,0,0,0] telefone = [0,0,0,0,0,0,0,0,0,0] i = 0 while(i < 2): nomes[i]=input("Digite um nome... ") telefone[i]=input("Digite o telefone respectivo ") i+=1 i=nomes.index(input("Qual nome referente ao número desejado? ")) print(f"O número de {nomes[i]} é {telefone[i]}")
# List Comprehension # adalah metode untuk menambahkan anggota dari suatu list melalui for loop # Syntax dari List Comprehension adalah # [expression for item in iterable] # Original List original = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] print(f"Original : {original}") # Output = Original : [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # Implementasi List Comprehension dengan Iterable original_dua = [value for value in range(5, 11)] print(f"Original Range : {original_dua}") # Output = Original Range : [5, 6, 7, 8, 9, 10] # Implementasi List Comprehension dengan Pemangkatan (Exponential) exp_list = [item**2 for item in original] print(f"Exponent List : {exp_list}") # Output = Exponent List : [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] # Implementasi List Comprehension dengan If Else genap = [item for item in original if item % 2 == 0] print(f"Genap : {genap}") # Output = Genap : [2, 4, 6, 8, 10] # Implementasi List Comprehension dengan Expression elemen = ["Api", "Air", "Tanah", "Udara"] huruf_awal = [item[0] for item in elemen] print(f"Huruf Awal : {huruf_awal}") # Output = Huruf Awal : ['A', 'A', 'T', 'U']
class Solution: def sumBase(self, n: int, k: int) -> int: r = 0 while n>0: r += n%k n = n//k return r
## #给定两个单词 word1 和 word2,计算出将 word1 转换成 word2 所使用的最少操作数 。 # # 你可以对一个单词进行如下三种操作: # # 插入一个字符 # 删除一个字符 # 替换一个字符 # 示例 1: # # 输入: word1 = "horse", word2 = "ros" # 输出: 3 # 解释: # horse -> rorse (将 'h' 替换为 'r') # rorse -> rose (删除 'r') # rose -> ros (删除 'e') # 示例 2: # # 输入: word1 = "intention", word2 = "execution" # 输出: 5 # 解释: # intention -> inention (删除 't') # inention -> enention (将 'i' 替换为 'e') # enention -> exention (将 'n' 替换为 'x') # exention -> exection (将 'n' 替换为 'c') # exection -> execution (插入 'u') # # 来源:力扣(LeetCode) # 链接:https://leetcode-cn.com/problems/edit-distance # 著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。 #/ class Solution: def minDistance(self, word1: str, word2: str) -> int: pass
load("@bazel_tools//tools/build_defs/repo:utils.bzl", "workspace_and_buildfile") def _http_archive_impl(ctx): """Buildozer implementation of the http_archive rule.""" if not ctx.attr.url and not ctx.attr.urls: fail("At least one of url and urls must be provided") if ctx.attr.build_file and ctx.attr.build_file_content: fail("Only one of build_file and build_file_content can be provided.") all_urls = [] if ctx.attr.urls: all_urls = ctx.attr.urls if ctx.attr.url: all_urls = [ctx.attr.url] + all_urls ctx.download_and_extract( all_urls, "", ctx.attr.sha256, ctx.attr.type, ctx.attr.strip_prefix, ) if ctx.os.name == "mac os x": buildozer_urls = [ctx.attr.buildozer_mac_url] buildozer_sha256 = ctx.attr.buildozer_mac_sha256 else: buildozer_urls = [ctx.attr.buildozer_linux_url] buildozer_sha256 = ctx.attr.buildozer_linux_sha256 ctx.download( buildozer_urls, output = "buildozer", sha256 = buildozer_sha256, executable = True, ) if ctx.attr.label_list: args = ["./buildozer", "-root_dir", ctx.path(".")] args += ["replace deps %s %s" % (k, v) for k, v in ctx.attr.replace_deps.items()] args += ctx.attr.label_list result = ctx.execute(args, quiet = False) if result.return_code: fail("Buildozer failed: %s" % result.stderr) if ctx.attr.sed_replacements: sed = ctx.which("sed") if not sed: fail("sed utility not found") # For each file (dict key) in the target list... for filename, replacements in ctx.attr.sed_replacements.items(): # And each sed replacement to make (dict value)... for replacement in replacements: args = [sed, "-i.bak", replacement, filename] # execute the replace on that file. result = ctx.execute(args, quiet = False) if result.return_code: fail("Buildozer failed: %s" % result.stderr) workspace_and_buildfile(ctx) _http_archive_attrs = { "url": attr.string(), "urls": attr.string_list(), "sha256": attr.string(), "strip_prefix": attr.string(), "type": attr.string(), "build_file": attr.label(allow_single_file = True), "build_file_content": attr.string(), "replace_deps": attr.string_dict(), "sed_replacements": attr.string_list_dict(), "label_list": attr.string_list(), "workspace_file": attr.label(allow_single_file = True), "workspace_file_content": attr.string(), "buildozer_linux_url": attr.string( default = "https://github.com/bazelbuild/buildtools/releases/download/0.15.0/buildozer", ), "buildozer_linux_sha256": attr.string( default = "be07a37307759c68696c989058b3446390dd6e8aa6fdca6f44f04ae3c37212c5", ), "buildozer_mac_url": attr.string( default = "https://github.com/bazelbuild/buildtools/releases/download/0.15.0/buildozer.osx", ), "buildozer_mac_sha256": attr.string( default = "294357ff92e7bb36c62f964ecb90e935312671f5a41a7a9f2d77d8d0d4bd217d", ), } buildozer_http_archive = repository_rule( implementation = _http_archive_impl, attrs = _http_archive_attrs, ) """ http_archive implementation that applies buildozer and sed replacements in the downloaded archive. Refer to documentation of the typical the http_archive rule in http.bzl. This rule lacks the patch functionality of the original. Following download and extraction of the archive, this rule will: 1. Execute a single buildozer command. 2. Execute a list of sed commands. The buildozer command is constructed from the `replace_deps` and `label_list` attributes. For each A -> B mapping in the replace_deps dict, a command like 'replace deps A B' will be appended. The list of labels to match are taken from the label_list attribute. Refer to buildozer documentation for an explanation of the replace deps command. The sed commands are constructed from the `sed_replacements` attribute. These sed commands might not be necessary if buildozer was capable of replacement within *.bzl files, but currently it cannot. This attribute is a string_list_dict, meaning the dict keys are filename to modify (in place), and each dict value is are list of sed commands to apply onto that file. The value typically looks something like 's|A|B|g'. """
# Copyright 2021 Adobe. All rights reserved. # This file is licensed to you 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 REPRESENTATIONS # OF ANY KIND, either express or implied. See the License for the specific language # governing permissions and limitations under the License. class Document: json_hint = { 'dc_format' : 'dc:format', 'location' : 'cpf:location', } def __init__(self, file_format= None, location= None): self.dc_format = file_format self.location = location
# -*- coding: utf-8 -*- """ Created on Thu Jun 15 13:58:31 2017 MIT 6.00.1x course on edX.org: PSet3 P2 Next, implement the function getGuessedWord that takes in two parameters - a string, secretWord, and a list of letters, lettersGuessed. This function returns a string that is comprised of letters and underscores, based on what letters in lettersGuessed are in secretWord. This shouldn't be too different from isWordGuessed! @author: Andrey Tymofeiuk Important: This code is placed at GitHub to track my progress in programming and to show my way of thinking. Also I will be happy if somebody will find my solution interesting. But I respect The Honor Code and I ask you to respect it also - please don't use this solution to pass the MIT 6.00.1x course. """ def getGuessedWord(secretWord, lettersGuessed): ''' secretWord: string, the word the user is guessing lettersGuessed: list, what letters have been guessed so far returns: string, comprised of letters and underscores that represents what letters in secretWord have been guessed so far. ''' guess = "" for letter in secretWord: if letter in lettersGuessed: guess += letter else: guess += " _" return guess
""" anviz_sync ~~~~~~~~~~ Sync Anviz Time & Attendance data with specified database. :copyright: (c) 2014 by Augusto Roccasalva :license: BSD, see LICENSE for more details. """ __version__ = '0.1.0'
# This file is used by build_autocachebreakers.py # Note: both outputs and breakers[n][1] are relative to this file's directory. targets = [ {"output": "js_minerva/cw/net/autocachebreakers.js", "breakers": [ ("cw.net.breaker_FlashConnector_swf", "minerva/compiled_client/FlashConnector.swf"), ]}, ]
class Solution(object): # Runtime: 23 ms, faster than 68.57% of Python online submissions for String to Integer (atoi).00 # Memory Usage: 13.5 MB, less than 79.83% of Python online submissions for String to Integer (atoi). def myAtoi(self, s): """ :type s: str :rtype: int """ i,n=0,len(s) sign=1 while i<n and s[i]==" ": i+=1; if i< n and s[i] in "+-": sign = -1 if s[i]=="-" else 1 i+=1 res =0 while i<n and s[i] in set ("0123456789"): res= res*10+int(s[i]) i+=1 if sign==-1: return max(-res,-2**31) else : return min(res, 2**31-1)
# Python program to print connected # components in an undirected graph # https://www.geeksforgeeks.org/connected-components-in-an-undirected-graph/ class Graph: # init function to declare class variables def __init__(self, V): self.V = V self.adj = [[] for i in range(V)] def DFSUtil(self, temp, v, visited): # Mark the current vertex as visited visited[v] = True # Store the vertex to list temp.append(v) # Repeat for all vertices adjacent # to this vertex v for i in self.adj[v]: if visited[i] == False: # Update the list temp = self.DFSUtil(temp, i, visited) return temp # method to add an undirected edge def addEdge(self, v, w): self.adj[v].append(w) self.adj[w].append(v) # Method to retrieve connected components # in an undirected graph def connectedComponents(self): visited = [] cc = [] for i in range(self.V): visited.append(False) for v in range(self.V): if visited[v] == False: temp = [] cc.append(self.DFSUtil(temp, v, visited)) return cc
""" Question Source:Leetcode Level: Medium Topic: String Solver: Tayyrov Date: 25.02.2022 """ def compareVersion(version1: str, version2: str) -> int: v1 = list(map(int, version1.split("."))) v2 = list(map(int, version2.split("."))) dif = abs(len(v1) - len(v2)) extra = [0] * dif if len(v1) < len(v2): v1 += extra else: v2 += extra for n1, n2 in zip(v1, v2): if n1 > n2: return 1 elif n2 > n1: return -1 return 0
# # PySNMP MIB module NBS-NTP-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NBS-NTP-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:17:23 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, SingleValueConstraint, ValueRangeConstraint, ConstraintsUnion, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ValueSizeConstraint") nbsCmmcNtpGrp, = mibBuilder.importSymbols("NBS-CMMC-MIB", "nbsCmmcNtpGrp") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") Gauge32, TimeTicks, Counter32, ModuleIdentity, NotificationType, Counter64, ObjectIdentity, MibIdentifier, Unsigned32, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, IpAddress, iso, Integer32 = mibBuilder.importSymbols("SNMPv2-SMI", "Gauge32", "TimeTicks", "Counter32", "ModuleIdentity", "NotificationType", "Counter64", "ObjectIdentity", "MibIdentifier", "Unsigned32", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "IpAddress", "iso", "Integer32") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") nbsNtpMib = ModuleIdentity((1, 3, 6, 1, 4, 1, 629, 200, 9, 1)) if mibBuilder.loadTexts: nbsNtpMib.setLastUpdated('200711210000Z') if mibBuilder.loadTexts: nbsNtpMib.setOrganization('NBS') if mibBuilder.loadTexts: nbsNtpMib.setContactInfo('For technical support, please contact your service channel') if mibBuilder.loadTexts: nbsNtpMib.setDescription('MIB for representing NBS NTP private information') nbsNtpEnable = MibScalar((1, 3, 6, 1, 4, 1, 629, 200, 9, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("notSupported", 1), ("no", 2), ("yes", 3))).clone('no')).setMaxAccess("readwrite") if mibBuilder.loadTexts: nbsNtpEnable.setStatus('current') if mibBuilder.loadTexts: nbsNtpEnable.setDescription('Whether or not to enable NTP') nbsNtpServerTableSize = MibScalar((1, 3, 6, 1, 4, 1, 629, 200, 9, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: nbsNtpServerTableSize.setStatus('current') if mibBuilder.loadTexts: nbsNtpServerTableSize.setDescription('The number of rows in the NTP Server table') nbsNtpServerTable = MibTable((1, 3, 6, 1, 4, 1, 629, 200, 9, 1, 3), ) if mibBuilder.loadTexts: nbsNtpServerTable.setStatus('current') if mibBuilder.loadTexts: nbsNtpServerTable.setDescription('A table of NTP servers to consult for time synchronization. It represents the current operational table as well as the NVRAM saved table. The entries in the table are saved over system resets and power up cycles') nbsNtpServerEntry = MibTableRow((1, 3, 6, 1, 4, 1, 629, 200, 9, 1, 3, 1), ).setIndexNames((0, "NBS-NTP-MIB", "nbsNtpServerIpAddr")) if mibBuilder.loadTexts: nbsNtpServerEntry.setStatus('current') if mibBuilder.loadTexts: nbsNtpServerEntry.setDescription('Contains the information necessary to contact an NTP server. The object nbsNtpServerTableEntryStatus, when written, is used to create or delete an entry/row in nbsNtpServerTable. To create a new entry, a SET PDU with the nbsNtpServerIpAddr object is required.') nbsNtpServerIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 629, 200, 9, 1, 3, 1, 1), IpAddress()) if mibBuilder.loadTexts: nbsNtpServerIpAddr.setStatus('current') if mibBuilder.loadTexts: nbsNtpServerIpAddr.setDescription('IP Address of an NTP server that should be used for time synchronization.') nbsNtpServerStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 629, 200, 9, 1, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("invalid", 1), ("active", 2))).clone('invalid')).setMaxAccess("readwrite") if mibBuilder.loadTexts: nbsNtpServerStatus.setStatus('current') if mibBuilder.loadTexts: nbsNtpServerStatus.setDescription("This object is used to get/set the validity of the information contained by nbsNtpServerEntry row. Setting this object to the value invalid(1) has the effect of deleting the corresponding nbsNtpServerTable entry. Deleting and entry has the effect of initializing it to default values : IpAddr = 0.0.0.0 Setting this object to the value valid(2) entry has the effect of creating a new row in the nbsNtpServerTable object, if an entry with the same nbsNtpServerIpAddr does not exist. If such an entry exists, then a 'badValue' error will be returned. The GET operations will receive a value of valid(2) for existing entries. An invalid(1) value indicates an entry that was deleted by a previous SET operation.") mibBuilder.exportSymbols("NBS-NTP-MIB", nbsNtpMib=nbsNtpMib, nbsNtpServerTableSize=nbsNtpServerTableSize, nbsNtpServerStatus=nbsNtpServerStatus, nbsNtpServerTable=nbsNtpServerTable, nbsNtpEnable=nbsNtpEnable, PYSNMP_MODULE_ID=nbsNtpMib, nbsNtpServerEntry=nbsNtpServerEntry, nbsNtpServerIpAddr=nbsNtpServerIpAddr)
# -*- coding: utf-8 -*- """ Created on Mon Jan 27 22:16:29 2020 @author: ghanta """ my_dict={} filepath = 'output.txt' with open(filepath) as fp: line = fp.readline() cnt = 1 while line: # print("Line {}: {}".format(cnt, line.strip())) my_dict[str(line.strip())] = cnt line = fp.readline() cnt += 1 print(my_dict) print("##################################") def getList(my_dict): return my_dict.keys() # Driver program print(getList(my_dict)) list(my_dict.keys())
## Some utils for plots clean_variable_names = { "age": "Age", "anosmia": "Anosmia", "cough": "Cough", "diarrhea": "Diarrhea", "fever": "Fever", "minor_severity_factor": "Number of minor severity factors", "risk_factor": "Number of risk factors", "sore_throat_aches": "Sore throat/aches", } legend_imp_name = { "SOBOL_TOTAL": "Sobol Total-order", "SHAPLEY_EFFECT": "Shapley Effects", "SHAP_IMPORTANCE": "Shap Importance", "AVERAGE_IMPORTANCE": "Average Importance", } color_imp_name = { "SOBOL_TOTAL": "rgb(192,233,231)", "SHAPLEY_EFFECT": "rgb(252,236,147)", "SHAP_IMPORTANCE": "rgb(227,142,139)", "AVERAGE_IMPORTANCE": "rgb(56,108,176)", } x_axis_setting_tick = dict( title="Normalized importances (%)", titlefont_size=12, tickfont_size=10, range=[0, 30], tick0=0, dtick=5, showgrid=True, gridwidth=1, gridcolor="rgb(230,230,230)", showline=True, linecolor="black", mirror=True, ) x_axis_setting = dict( tickfont_size=10, range=[0, 30], tick0=0, dtick=5, showgrid=True, gridwidth=1, gridcolor="rgb(230,230,230)", showline=True, linecolor="black", mirror=True, ) y_axis_setting = dict(tickfont_size=10, showline=True, linecolor="black", mirror=True)
"""LSD (least significant digit) string sort algorithm. This algorithm is based on the Key-indexed counting sorting algorithm. The main difference is that LSD run the same operation for W characters instead of just 1 integer. It is assumed that strings are fixed length and that W is the length of them. Characteristics: - Stable (preserves original order). - Linear time: O(N * W). E.g.: Given the strings: [ "4PGC938", "2IYE230", "3CI0720" ] The algorithm is going to sort them through 7 iterations (W = 7). The process is going to sort them char by char starting from right to left (from the least significant 'digit'). After the first iteration, the result is going to be: [ "2IYE230", "3CI0720" "4PGC938", ] After the second: [ "3CI0720" "2IYE230", "4PGC938", ] And so on until the end: [ "2IYE230", "3CI0720" "4PGC938", ] """ def _initialize_list(size, default_value): return [default_value] * size def lsd_sort(strings, key_length=None): if not isinstance(strings, list): raise Exception("A {} was provided instead of a list of strings.".format(type(strings))) if key_length is None: key_length = len(strings[0]) r = 256 # cn iterate on a string from right to left. for cn in reversed(range(key_length)): # Compute the frequency of each character. count = _initialize_list(r + 1, 0) for s in strings: count[ord(s[cn]) + 1] += 1 # Compute the starting point for each character. for j in range(r - 1): count[j + 1] += count[j] # Distribute the date in a new list. partial_solution = _initialize_list(len(strings), None) for s in strings: ascii_code = ord(s[cn]) # Transform the character to its int representation. s_position = count[ascii_code] # Find its starting point. count[ascii_code] += 1 # Increment the starting position for that character. partial_solution[s_position] = s # Add the string in its partially final position. # Replace the original list with the partially sorted list. strings = partial_solution return strings if __name__ == "__main__": licenses = [ "4PGC938", "2IYE230", "3CI0720", "1ICK750", "1OHV845", "4JZY524", "1ICK750", "3CI0720", "1OHV845", "1OHV845", "2RLA629", "2RLA629", "3ATW723" ] print(lsd_sort(licenses))
# # PySNMP MIB module JUNIPER-WX-STATUS-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/JUNIPER-WX-GLOBAL-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:01:32 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueRangeConstraint, ConstraintsIntersection, ValueSizeConstraint, SingleValueConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsIntersection", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsUnion") jnxWxGrpStatus, = mibBuilder.importSymbols("JUNIPER-WX-GLOBAL-MIB", "jnxWxGrpStatus") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") TimeTicks, iso, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, Unsigned32, Integer32, Gauge32, ModuleIdentity, ObjectIdentity, MibIdentifier, Counter32, Counter64, IpAddress, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "iso", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Unsigned32", "Integer32", "Gauge32", "ModuleIdentity", "ObjectIdentity", "MibIdentifier", "Counter32", "Counter64", "IpAddress", "NotificationType") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") jnxWxGrpStatusSys = ObjectIdentity((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 1)) if mibBuilder.loadTexts: jnxWxGrpStatusSys.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusSys.setDescription('This group contains WX system status information. ') jnxWxGrpStatusSysModel = MibScalar((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("wxc250", 1), ("wxc500", 2), ("wxc590", 3), ("wxc1800", 4), ("wxc2600", 5), ("wxc3400", 6), ("wxc7800", 7), ("other", 8)))).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusSysModel.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusSysModel.setDescription('The device model number. ') jnxWxGrpStatusSysSwVersion = MibScalar((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusSysSwVersion.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusSysSwVersion.setDescription('The software version for this device. ') jnxWxGrpStatusSysHwVersion = MibScalar((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusSysHwVersion.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusSysHwVersion.setDescription('The hardware version for this device. ') jnxWxGrpStatusApp = ObjectIdentity((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 2)) if mibBuilder.loadTexts: jnxWxGrpStatusApp.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusApp.setDescription('This group contains application status information. ') jnxWxGrpStatusAppMonCount = MibScalar((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 2, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusAppMonCount.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusAppMonCount.setDescription('Number of applications currently being monitored. ') jnxWxGrpStatusAppTable = MibTable((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 2, 2), ) if mibBuilder.loadTexts: jnxWxGrpStatusAppTable.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusAppTable.setDescription('This table displays the application level status. It contains information for only the applications currently being monitored. ') jnxWxGrpStatusAppEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 2, 2, 1), ).setIndexNames((0, "JUNIPER-WX-STATUS-MIB", "jnxWxGrpStatusAppId")) if mibBuilder.loadTexts: jnxWxGrpStatusAppEntry.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusAppEntry.setDescription('A row in jnxWxGrpStatusAppTable. ') jnxWxGrpStatusAppId = MibTableColumn((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 2, 2, 1, 1), Integer32()) if mibBuilder.loadTexts: jnxWxGrpStatusAppId.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusAppId.setDescription('The unique application ID. ') jnxWxGrpStatusAppName = MibTableColumn((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 2, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusAppName.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusAppName.setDescription('The application name. ') jnxWxGrpStatusAppType = MibTableColumn((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 2, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("default", 1), ("ftp", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusAppType.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusAppType.setDescription('The application type. ') jnxWxGrpStatusRemoteWx = ObjectIdentity((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 3)) if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWx.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWx.setDescription('This group contains remote WX status information. ') jnxWxGrpStatusRemoteWxMonCount = MibScalar((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 3, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxMonCount.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxMonCount.setDescription('Number of remote WXs currently being monitored. ') jnxWxGrpStatusRemoteWxTable = MibTable((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 3, 2), ) if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxTable.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxTable.setDescription('This table displays the application level status. It contains information for only the applications currently being monitored. ') jnxWxGrpStatusRemoteWxEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 3, 2, 1), ).setIndexNames((0, "JUNIPER-WX-STATUS-MIB", "jnxWxGrpStatusRemoteWxId")) if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxEntry.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxEntry.setDescription('A row in jnxWxGrpStatusRemoteWxTable. ') jnxWxGrpStatusRemoteWxId = MibTableColumn((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 3, 2, 1, 1), Integer32()) if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxId.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxId.setDescription('The unique Remote WX ID. ') jnxWxGrpStatusRemoteWxName = MibTableColumn((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 3, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxName.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxName.setDescription('The remote WX name. ') jnxWxGrpStatusRemoteWxType = MibTableColumn((1, 3, 6, 1, 4, 1, 2636, 3, 41, 1, 1, 1, 3, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("wx-device", 1), ("wx-client", 2), ("non-wx-device", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxType.setStatus('current') if mibBuilder.loadTexts: jnxWxGrpStatusRemoteWxType.setDescription('The remote WX type. ') mibBuilder.exportSymbols("JUNIPER-WX-STATUS-MIB", jnxWxGrpStatusSysSwVersion=jnxWxGrpStatusSysSwVersion, jnxWxGrpStatusRemoteWxEntry=jnxWxGrpStatusRemoteWxEntry, jnxWxGrpStatusAppType=jnxWxGrpStatusAppType, jnxWxGrpStatusAppTable=jnxWxGrpStatusAppTable, jnxWxGrpStatusAppId=jnxWxGrpStatusAppId, jnxWxGrpStatusAppName=jnxWxGrpStatusAppName, jnxWxGrpStatusApp=jnxWxGrpStatusApp, jnxWxGrpStatusSysHwVersion=jnxWxGrpStatusSysHwVersion, jnxWxGrpStatusRemoteWx=jnxWxGrpStatusRemoteWx, jnxWxGrpStatusRemoteWxTable=jnxWxGrpStatusRemoteWxTable, jnxWxGrpStatusRemoteWxType=jnxWxGrpStatusRemoteWxType, jnxWxGrpStatusRemoteWxId=jnxWxGrpStatusRemoteWxId, jnxWxGrpStatusAppMonCount=jnxWxGrpStatusAppMonCount, jnxWxGrpStatusRemoteWxMonCount=jnxWxGrpStatusRemoteWxMonCount, jnxWxGrpStatusAppEntry=jnxWxGrpStatusAppEntry, jnxWxGrpStatusSysModel=jnxWxGrpStatusSysModel, jnxWxGrpStatusRemoteWxName=jnxWxGrpStatusRemoteWxName, jnxWxGrpStatusSys=jnxWxGrpStatusSys)
def ordinal(number): if number <= 0: return 'none' tmp = number % 100 if tmp >= 20: tmp = tmp % 10 if tmp == 1: return str(number) + 'st' elif tmp == 2: return str(number) + 'nd' elif tmp == 3: return str(number) + 'rd' else: return str(number) + 'th'
def load_parse_data(path: str) -> list: with open(path, mode='r', encoding="utf-8") as f: return list(map(int, f.read().split(','))) def school_by_age(data: list) -> list: school_by_age = [0] * 9 for age in data: school_by_age[age] += 1 return school_by_age def model_school_growth(school_by_age: list, days: int=80) -> list: for _ in range(days): reproduction_rate = school_by_age[0] for age in range(8): school_by_age[age] = school_by_age[age + 1] school_by_age[6] += reproduction_rate school_by_age[8] = reproduction_rate return school_by_age def puzzle_one(data: list) -> int: return sum(model_school_growth(school_by_age(data))) def puzzle_two(data: str) -> int: return sum(model_school_growth(school_by_age(data), days=256)) if __name__ == "__main__": print('--------------', 'Puzzle One', '--------------', end='\n') print(puzzle_one(load_parse_data("../puzzle_input.txt"))) print('--------------', 'Puzzle Two', '--------------', end='\n') print(puzzle_two(load_parse_data("../puzzle_input.txt")))
scores = [] for i in range(5): scores.append(sum([int(x) for x in input().split(" ")])) topscore = 0 for score in scores: if score > topscore: topscore = score index = scores.index(topscore) + 1 print(str(index) + " " + str(topscore))
""" Dictionary Comprehension em Python - (Compreensão de dicionários) """ lista = [ ('chave', 'valor'), ('chave2', 'valor2'), ] # d1 = {x: y*2 for x, y in lista} d2 = {f'chave_{x}': x**2 for x in range(5)} print(d2)
# Maior e menor peso menor = maior = 0 for i in range(1, 6): peso = float(input('Digite o seu peso em kg: ')) if i == 1: menor = peso maior = peso else: if peso < menor: menor = peso if peso > maior: maior = peso print() print('O menor peso é {} kg e o maior peso vale {} kg.'.format(menor, maior))
lines = [line.strip() for line in open("input.txt", 'r') if line.strip() != ""] tiles = [] # e - 0; se - 1; sw - 2; w - 3; nw - 4; ne - 5 directions = ((1, -1, 0), (0, -1, 1), (-1, 0, 1), (-1, 1, 0), (0, 1, -1), (1, 0, -1)) for line in lines: tile = [] while len(line) > 0: if line[0] == 's': tile.append(1 if line[1] == 'e' else 2) line = line[2:] elif line[0] == 'n': tile.append(4 if line[1] == 'w' else 5) line = line[2:] elif line[0] == 'e': tile.append(0) line = line[1:] elif line[0] == 'w': tile.append(3) line = line[1:] tiles.append(tile) ########################################## # PART 1 # ########################################## def part1(tiles): blackTiles = set() for tile in tiles: coord = [0, 0, 0] for move in tile: vector = directions[move] for i in range(3): coord[i] += vector[i] coord = tuple(coord) if coord in blackTiles: blackTiles.remove(coord) else: blackTiles.add(coord) return blackTiles blackTiles = part1(tiles) print('Answer to part 1 is', len(blackTiles)) ########################################## # PART 2 # ########################################## def get_adjacent(pos): adj = () for vector in directions: res = list(pos) for i in range(3): res[i] += vector[i] adj += (tuple(res), ) return adj def part2(hexMap): for i in range(100): print('Day {}: {}'.format(i, len(hexMap))) frozen_map = set(hexMap) to_check = set() for tile in frozen_map: black_adj = 0 for adj in get_adjacent(tile): if adj not in frozen_map: to_check.add(adj) else: black_adj += 1 if black_adj == 0 or black_adj > 2: hexMap.remove(tile) for tile in to_check: black_adj = 0 for adj in get_adjacent(tile): if adj in frozen_map: black_adj += 1 if black_adj == 2: hexMap.add(tile) return len(hexMap) print('Answer to part 2 is', part2(blackTiles))
# 二叉搜索树,实现映射抽象数据类型。(之前用散列实现过) # Map() / put(key,value) /del amap[key] / get(key) /len() /in # 二叉搜索树:对任意一个节点,比节点值小的值放在左子值,大的放在右子树,也叫做二叉搜索性 # 必须处理并创建一颗空的二叉树,因此在实现的过程中必须使用两个类,涉及两个类的耦合问题 # put函数,新来的一定被放在最后,无论大小 class TreeNode(object): def __init__(self, key, val, lc=None, rc=None, par=None): self.key = key self.val = val self.lc = lc self.rc = rc self.par = par def has_lc(self): return self.lc def has_rc(self): return self.rc def has_child(self): return self.lc or self.rc def has_2child(self): return self.lc and self.rc def is_root(self): return self.par is None def is_lc(self): return self.par is not None and self.par.lc is self def is_rc(self): return self.par is not None and self.par.rc is self def is_leaf(self): return self.lc is None and self.rc is None def set_lc(self, lc): self.lc = lc def set_rc(self, rc): self.lc = rc def change_data(self, key, val, new_lc, new_rc): self.key = key self.val = val self.lc = new_lc self.rc = new_rc if self.has_lc(): ################################################## 为什么呀下面这四句 self.lc.par = self if self.has_rc(): self.rc.par = self class SearchTree(object): def __init__(self): # 初始化 self.root = None self.size = 0 def length(self): return self.size def __len__(self): return self.size def __iter__(self): return self.root.__iter__() ################################################# def put(self, key, val): if self.root: self._put(key, val, self.root) else: aNode = TreeNode(key, val) self.root = aNode self.size = self.size + 1 ##########################################forgot def _put(self, key, val, currentNode): if key < currentNode.key: if currentNode.has_lc(): self._put(key, val, currentNode.lc) else: currentNode.lc = TreeNode(key, val, par=currentNode) # #################################### par loose elif key > currentNode.key: if currentNode.has_rc(): self._put(key, val, currentNode.rc) else: currentNode.rc = TreeNode(key, val, par=currentNode) ################################struggle else: currentNode.change_data(key, val, currentNode.lc, currentNode.rc) def __setitem__(self, key, val): ## ######################################## why return that? return self.put(key, val) def get(self, key): if self.root: res = self._get(key, self.root) if res: return res.val else: return None else: return None def _get(self, key, current): if current is None: ############################### 出错 if current.key is None:。没有空白,空白即是None return None elif key < current.key: return self._get(key, current.lc) ######## 掉了return!!!!!!!!!!!!!!!!!! 检查了至少两个半小时。。。。。。 # 会在这一步得到return的正确值,但_get函数没有返回值!!是None,所以除了第一个,其他结果查出来都是None elif key > current.key: return self._get(key, current.rc) ######## 掉了return!!!!!!!!!!!!!!!!!! else: return current def __getitem__(self, key): return self.get(key) # # def __contains__(self, key): # if self._get(key, self.root): # return True # else: # return False ######定义一个delete函数 def successor(self, nodenow): # 右边最小值 successor = nodenow.rc while successor.lc: successor = successor.lc return successor.key def precessor(self, nodenow): # 左边最大值 precessor = nodenow.lc while precessor.rc: precessor = precessor.rc return precessor.key def delete(self, key): # 11.01 今天未测试delete################################################################################# # 1.是叶子,直接删除。 # 2.不是叶子,使用递归 # 1.如果有右子节点,找到successor,替代当前点的key/val,在子树中再用下一个node替代successo,直到下一个Node is None--> 循环--》 直到左右节点都是None # 2.如果有左节点,找precessor,替代当前点的key/val, if self.root: pos = self._get(key, self.root) if pos: self.delnode(pos) else: print('key is not in this data!') else: return None def delnode(self, pos): if pos.isLeaf(): pos = None else: if pos.has_rc(): new_pos = self.successor(pos) else: new_pos = self.precessor(pos) pos.key = new_pos.key pos.val = new_pos.val return self.delnode(new_pos) a = SearchTree() a.put(1, 'A') a.put(10, 'B') a.put(-1, '[[[C]]]') print(a.size) print(a.get(10)) print(a.get(1)) print(a[-1])
class Solution(object): def intersection(self, nums1, nums2): """ :type nums1: List[int] :type nums2: List[int] :rtype: List[int] """ max_nums = nums1 if len(nums1) > len(nums2) else nums2 min_nums = nums1 if len(nums1) < len(nums2) else nums2 r_nums = set() for i in min_nums: if i in max_nums: r_nums.add(i) return list(r_nums) def intersection_b(self, nums1, nums2): return list(set(nums1) & set(nums2))
# insert CR, insert line above keys(':setf vim\<CR>jw') keys('4\<C-Down>') keys('Ea') keys('\<CR>') keys('CARRYING OVER ') keys('\<Esc>A') keys('\<CR>') keys('CR at EOL') keys('\<Esc>k') keys('O') keys('above CR') keys('\<Esc>\<Esc>')
# from AI_module import AI_module def receive_basic_iuput_data(Singal_Loss, Shock_Alert, Oxygen_Supply, Fever, Hypotension, Hypertension): # Recevie data from input module, then analyze it using some judge functions to generate boolean result # Boolean Parameters # If paramter returns True, means it should be alerted, then add it to the array BasicResult = {'Signal_Loss': False, 'Shock_Alert': False, 'Oxygen_Supply': False, 'Fever': False, 'Hypotension': False, 'Hypertension': False} if Singal_Loss: BasicResult['Signal Loss'] = True if Shock_Alert: BasicResult['Shock_Alert'] = True if Oxygen_Supply: BasicResult['Oxygen_Supply'] = True if Fever: BasicResult['Fever'] = True if Hypotension: BasicResult['Hypotension'] = True if Hypertension: BasicResult['Hypertension'] = True return BasicResult # def send_basic_input_data(BasicResult, BasicData): # Receive the result and show it on terminal or web page # sentData = analyze(BasicResult) # return sentData, BasicData # def display_AI_iuput_data(): # # Recevie AI data from input module, then analyze it using some judge functions to generate boolean result # # Paramter is boolean # # If paramter is True, means it should be alerted, then add it to the array # AI_module.AI_Module(Blood_oxygen, Blood_pressure, Pulses) # print('blood pressure prediction:') # print(pressure_predict_result) # print('blood oxygen prediction:') # print(oxygen_predict_result) # print('Pulse_predict_result:') # print(Pulse_predict_result) # def send_AI_input_data(AIResult): # Receive the result and show it on terminal or web page # sentData = analyze(AIResult) # return sentData
# -*- coding: utf-8 -*- """Top-level package for dbix.""" __author__ = """Alex Bodnaru""" __email__ = '[email protected]' __version__ = '0.3.0'
# # PySNMP MIB module CISCO-RADIUS-EXT-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-RADIUS-EXT-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 17:53:51 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint") ciscoMgmt, = mibBuilder.importSymbols("CISCO-SMI", "ciscoMgmt") InetPortNumber, = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetPortNumber") ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup") iso, MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, ObjectIdentity, TimeTicks, ModuleIdentity, Bits, Unsigned32, MibIdentifier, Counter32, IpAddress, Integer32, Counter64, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "ObjectIdentity", "TimeTicks", "ModuleIdentity", "Bits", "Unsigned32", "MibIdentifier", "Counter32", "IpAddress", "Integer32", "Counter64", "Gauge32") TextualConvention, TimeInterval, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "TimeInterval", "DisplayString") ciscoRadiusExtMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 9, 736)) ciscoRadiusExtMIB.setRevisions(('2010-05-25 00:00', '2010-05-20 00:00',)) if mibBuilder.loadTexts: ciscoRadiusExtMIB.setLastUpdated('201005250000Z') if mibBuilder.loadTexts: ciscoRadiusExtMIB.setOrganization('Cisco Systems, Inc.') class RadiusSourceIdentifier(TextualConvention, Unsigned32): status = 'current' subtypeSpec = Unsigned32.subtypeSpec + ValueRangeConstraint(0, 255) cRadiusExtMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1)) creClientGlobal = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1)) creClientAuthentication = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2)) creClientAccounting = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3)) creClientDynAuth = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 4)) creServerGlobal = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 5)) creServerAuthentication = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 6)) creServerAccounting = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 7)) creServerDynAuth = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 8)) creClientTotalMaxInQLength = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 1), Gauge32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creClientTotalMaxInQLength.setStatus('current') creClientTotalMaxWaitQLength = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 2), Gauge32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creClientTotalMaxWaitQLength.setStatus('current') creClientTotalMaxDoneQLength = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 3), Gauge32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creClientTotalMaxDoneQLength.setStatus('current') creClientTotalAccessRejects = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 4), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creClientTotalAccessRejects.setStatus('current') creClientTotalAverageResponseDelay = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 5), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: creClientTotalAverageResponseDelay.setStatus('current') creClientSourcePortRangeStart = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 6), InetPortNumber()).setMaxAccess("readonly") if mibBuilder.loadTexts: creClientSourcePortRangeStart.setStatus('current') creClientSourcePortRangeEnd = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 7), InetPortNumber()).setMaxAccess("readonly") if mibBuilder.loadTexts: creClientSourcePortRangeEnd.setStatus('current') creClientLastUsedSourcePort = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 8), InetPortNumber()).setMaxAccess("readonly") if mibBuilder.loadTexts: creClientLastUsedSourcePort.setStatus('current') creClientLastUsedSourceId = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 1, 9), RadiusSourceIdentifier()).setMaxAccess("readonly") if mibBuilder.loadTexts: creClientLastUsedSourceId.setStatus('current') creAuthClientBadAuthenticators = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 1), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientBadAuthenticators.setStatus('current') creAuthClientUnknownResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 2), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientUnknownResponses.setStatus('current') creAuthClientTotalPacketsWithResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 3), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientTotalPacketsWithResponses.setStatus('current') creAuthClientBufferAllocFailures = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 4), Counter32()).setUnits('buffer failures').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientBufferAllocFailures.setStatus('current') creAuthClientTotalResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 5), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientTotalResponses.setStatus('current') creAuthClientTotalPacketsWithoutResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 6), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientTotalPacketsWithoutResponses.setStatus('current') creAuthClientAverageResponseDelay = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 7), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientAverageResponseDelay.setStatus('current') creAuthClientMaxResponseDelay = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 8), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientMaxResponseDelay.setStatus('current') creAuthClientMaxBufferSize = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setUnits('bytes').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientMaxBufferSize.setStatus('current') creAuthClientTimeouts = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 10), Counter32()).setUnits('timeouts').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientTimeouts.setStatus('current') creAuthClientDupIDs = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 11), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientDupIDs.setStatus('current') creAuthClientMalformedResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 12), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientMalformedResponses.setStatus('current') creAuthClientLastUsedSourceId = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 2, 13), RadiusSourceIdentifier()).setMaxAccess("readonly") if mibBuilder.loadTexts: creAuthClientLastUsedSourceId.setStatus('current') creAcctClientBadAuthenticators = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 1), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientBadAuthenticators.setStatus('current') creAcctClientUnknownResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 2), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientUnknownResponses.setStatus('current') creAcctClientTotalPacketsWithResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 3), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientTotalPacketsWithResponses.setStatus('current') creAcctClientBufferAllocFailures = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 4), Counter32()).setUnits('buffer failures').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientBufferAllocFailures.setStatus('current') creAcctClientTotalResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 5), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientTotalResponses.setStatus('current') creAcctClientTotalPacketsWithoutResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 6), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientTotalPacketsWithoutResponses.setStatus('current') creAcctClientAverageResponseDelay = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 7), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientAverageResponseDelay.setStatus('current') creAcctClientMaxResponseDelay = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 8), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientMaxResponseDelay.setStatus('current') creAcctClientMaxBufferSize = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setUnits('bytes').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientMaxBufferSize.setStatus('current') creAcctClientTimeouts = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 10), Counter32()).setUnits('timeouts').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientTimeouts.setStatus('current') creAcctClientDupIDs = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 11), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientDupIDs.setStatus('current') creAcctClientMalformedResponses = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 12), Counter32()).setUnits('RADIUS packets').setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientMalformedResponses.setStatus('current') creAcctClientLastUsedSourceId = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 736, 1, 3, 13), RadiusSourceIdentifier()).setMaxAccess("readonly") if mibBuilder.loadTexts: creAcctClientLastUsedSourceId.setStatus('current') cRadiusExtMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 2)) creMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 2, 1)) creMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 736, 2, 2)) creMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 736, 2, 1, 1)).setObjects(("CISCO-RADIUS-EXT-MIB", "creClientAuthenenticationGroup"), ("CISCO-RADIUS-EXT-MIB", "creClientGlobalGroup"), ("CISCO-RADIUS-EXT-MIB", "creClientAccountingGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): creMIBCompliance = creMIBCompliance.setStatus('current') creClientGlobalGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 736, 2, 2, 1)).setObjects(("CISCO-RADIUS-EXT-MIB", "creClientTotalMaxInQLength"), ("CISCO-RADIUS-EXT-MIB", "creClientTotalMaxWaitQLength"), ("CISCO-RADIUS-EXT-MIB", "creClientTotalMaxDoneQLength"), ("CISCO-RADIUS-EXT-MIB", "creClientTotalAccessRejects"), ("CISCO-RADIUS-EXT-MIB", "creClientSourcePortRangeStart"), ("CISCO-RADIUS-EXT-MIB", "creClientSourcePortRangeEnd"), ("CISCO-RADIUS-EXT-MIB", "creClientLastUsedSourcePort"), ("CISCO-RADIUS-EXT-MIB", "creClientLastUsedSourceId"), ("CISCO-RADIUS-EXT-MIB", "creClientTotalAverageResponseDelay")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): creClientGlobalGroup = creClientGlobalGroup.setStatus('current') creClientAuthenenticationGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 736, 2, 2, 2)).setObjects(("CISCO-RADIUS-EXT-MIB", "creAuthClientTotalResponses"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientTotalPacketsWithResponses"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientTotalPacketsWithoutResponses"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientAverageResponseDelay"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientMaxResponseDelay"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientTimeouts"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientDupIDs"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientBufferAllocFailures"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientMaxBufferSize"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientMalformedResponses"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientBadAuthenticators"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientUnknownResponses"), ("CISCO-RADIUS-EXT-MIB", "creAuthClientLastUsedSourceId")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): creClientAuthenenticationGroup = creClientAuthenenticationGroup.setStatus('current') creClientAccountingGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 736, 2, 2, 3)).setObjects(("CISCO-RADIUS-EXT-MIB", "creAcctClientTotalResponses"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientTotalPacketsWithResponses"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientTotalPacketsWithoutResponses"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientAverageResponseDelay"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientMaxResponseDelay"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientTimeouts"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientBadAuthenticators"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientUnknownResponses"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientLastUsedSourceId"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientDupIDs"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientBufferAllocFailures"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientMaxBufferSize"), ("CISCO-RADIUS-EXT-MIB", "creAcctClientMalformedResponses")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): creClientAccountingGroup = creClientAccountingGroup.setStatus('current') mibBuilder.exportSymbols("CISCO-RADIUS-EXT-MIB", creAcctClientUnknownResponses=creAcctClientUnknownResponses, creServerDynAuth=creServerDynAuth, creAcctClientTotalPacketsWithoutResponses=creAcctClientTotalPacketsWithoutResponses, creClientAccountingGroup=creClientAccountingGroup, creAuthClientDupIDs=creAuthClientDupIDs, creAcctClientTotalPacketsWithResponses=creAcctClientTotalPacketsWithResponses, cRadiusExtMIBConformance=cRadiusExtMIBConformance, creAcctClientBadAuthenticators=creAcctClientBadAuthenticators, creAcctClientTimeouts=creAcctClientTimeouts, PYSNMP_MODULE_ID=ciscoRadiusExtMIB, creAuthClientUnknownResponses=creAuthClientUnknownResponses, creAuthClientTimeouts=creAuthClientTimeouts, creAcctClientBufferAllocFailures=creAcctClientBufferAllocFailures, creClientGlobal=creClientGlobal, creClientDynAuth=creClientDynAuth, creServerAuthentication=creServerAuthentication, creClientSourcePortRangeEnd=creClientSourcePortRangeEnd, creClientTotalAverageResponseDelay=creClientTotalAverageResponseDelay, creClientTotalMaxDoneQLength=creClientTotalMaxDoneQLength, creMIBCompliances=creMIBCompliances, creAcctClientMaxResponseDelay=creAcctClientMaxResponseDelay, creClientAuthenenticationGroup=creClientAuthenenticationGroup, RadiusSourceIdentifier=RadiusSourceIdentifier, creAuthClientTotalPacketsWithoutResponses=creAuthClientTotalPacketsWithoutResponses, creClientSourcePortRangeStart=creClientSourcePortRangeStart, creMIBGroups=creMIBGroups, creServerAccounting=creServerAccounting, creClientAccounting=creClientAccounting, creAuthClientAverageResponseDelay=creAuthClientAverageResponseDelay, creClientTotalAccessRejects=creClientTotalAccessRejects, creClientTotalMaxWaitQLength=creClientTotalMaxWaitQLength, creAcctClientLastUsedSourceId=creAcctClientLastUsedSourceId, creClientGlobalGroup=creClientGlobalGroup, creAuthClientTotalPacketsWithResponses=creAuthClientTotalPacketsWithResponses, creAuthClientLastUsedSourceId=creAuthClientLastUsedSourceId, creAuthClientTotalResponses=creAuthClientTotalResponses, creAuthClientBufferAllocFailures=creAuthClientBufferAllocFailures, ciscoRadiusExtMIB=ciscoRadiusExtMIB, creAcctClientTotalResponses=creAcctClientTotalResponses, creAuthClientBadAuthenticators=creAuthClientBadAuthenticators, creClientAuthentication=creClientAuthentication, creServerGlobal=creServerGlobal, creAuthClientMaxBufferSize=creAuthClientMaxBufferSize, creAcctClientMaxBufferSize=creAcctClientMaxBufferSize, cRadiusExtMIBObjects=cRadiusExtMIBObjects, creClientLastUsedSourcePort=creClientLastUsedSourcePort, creClientTotalMaxInQLength=creClientTotalMaxInQLength, creAuthClientMalformedResponses=creAuthClientMalformedResponses, creAuthClientMaxResponseDelay=creAuthClientMaxResponseDelay, creMIBCompliance=creMIBCompliance, creAcctClientDupIDs=creAcctClientDupIDs, creAcctClientAverageResponseDelay=creAcctClientAverageResponseDelay, creClientLastUsedSourceId=creClientLastUsedSourceId, creAcctClientMalformedResponses=creAcctClientMalformedResponses)
class Solution: def isValidSudoku(self, board: List[List[str]]) -> bool: for i in range(9): check_r = dict() check_c = dict() check_b = dict() print("_____") for j in range(9): print(check_r.keys(),check_c.keys(),check_b.keys()) r = board[i][j] c = board[j][i] b = board[3 * (i%3) + j//3][3 * (i//3) + j%3] if(r!="."): if(r in check_r.keys()): print("ROW",i,j,"-",r,check_r.keys()) return False check_r[r] = 1 if(c!="."): if(c in check_c.keys()): print("COLUMN",i,j,"-",c,check_c.keys()) return False check_c[c] = 1 if(b!="."): if(b in check_b.keys()): print("BOX",i,j,"-",b,check_b.keys()) return False check_b[b] = 1 return True
### Model data class catboost_model(object): float_features_index = [ 0, 1, 2, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 31, 32, 33, 35, 37, 38, 39, 46, 47, 48, 49, ] float_feature_count = 50 cat_feature_count = 0 binary_feature_count = 36 tree_count = 40 float_feature_borders = [ [0.0979510546, 0.168183506, 0.175395012, 0.1838945, 0.29696101, 0.322089016, 0.356592506, 0.402612507, 0.407903492], [0.0117153507, 0.0208603498, 0.0227272511, 0.0283820499, 0.0387445986, 0.0597131997, 0.0884035975, 0.0952057987, 0.130652487, 0.136649996, 0.159972489, 0.186926007, 0.390384018, 0.447147489, 0.474032521, 0.585997999, 0.707031012, 0.774169981], [5.74449987e-05, 0.00453814492, 0.00574448518, 0.00947840512, 0.0641983524, 0.320514023, 0.369177997, 0.780945539, 0.817595959, 0.829216003, 0.902011514, 0.903753996, 0.937548518], [0.5], [0.5], [0.5], [0.5], [0.5], [0.5], [0.5], [0.5], [0.5], [0.35098052, 0.398038983, 0.417647004], [0.0652175024, 0.183333501, 0.560386539, 0.595918536, 0.645990014, 0.652147532, 0.712215543, 0.741925001, 0.766074002, 0.825323999, 0.894724965, 0.931031466], [0.0440538004, 0.0556640998, 0.0820585489, 0.235576987, 0.286276519, 0.291958004, 0.324301004, 0.451516002, 0.471967995, 0.488891482, 0.510249019, 0.630002975, 0.692146003, 0.795647502], [0.119033001, 0.119927496, 0.13151899, 0.143101007, 0.182384491, 0.191996992, 0.207109511, 0.261641979, 0.262331009, 0.280564487, 0.341767013], [0.5], [0.5], [0.272549003, 0.331372499, 0.347059011, 0.358823478, 0.378431499, 0.484313995, 0.503921509, 0.535293996, 0.7156865, 0.747058988], [0.5], [0.5], [0.0416666493, 1.5], [0.0225447994, 0.0437176004, 0.183991, 0.938220024, 0.938699961, 0.938757539], [0.5], [0.5], [0.0243670009, 0.0521114506, 0.0697473437, 0.134183004, 0.141615003, 0.35481149, 0.449031502, 0.621537507, 0.861264467], [0.5], [0.0136655001, 0.0313090011, 0.0567234978, 0.116815001, 0.39230752, 0.850793004], [0.126407504, 0.193027496, 0.318073004, 0.786653519, 0.957795024], [0.00160040497, 0.00311657996, 0.00345350499, 0.01052895, 0.0110343499, 0.0137297995, 0.0285545997, 0.0351247005, 0.160027504], [0.00738915009, 0.0453458503, 0.283847004, 0.392024517, 0.523900032, 0.654693007, 0.661086977, 0.66582948, 0.784554005, 0.821318984, 0.975975513], [0.00121281995, 0.00157565507, 0.00256450498, 0.00274871988, 0.00749967527, 0.00921617076, 0.0097909905, 0.0100314207, 0.0118742995, 0.0119927004, 0.0165624507], [0.107056499, 0.163893014, 0.241850495, 0.27432698, 0.285950482, 0.306465507, 0.337470502, 0.383904994, 0.438004494, 0.515424967, 0.521192014], [0.387494028, 0.4393695, 0.448886007, 0.472368002, 0.502859473, 0.508242011, 0.509687006, 0.542495012, 0.566181004, 0.639330506, 0.693051457, 0.708531499, 0.7370345, 0.743195534, 0.767975509, 0.8723315, 0.88726902, 0.965276003, 0.966867507], [0.192310005, 0.23803401, 0.244706005, 0.294632018, 0.317332506, 0.389473975, 0.40584451, 0.447151482, 0.550680041, 0.578404009, 0.631987512, 0.640262485, 0.748547494], [0.5], ] tree_depth = [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6] tree_split_border = [2, 1, 2, 1, 2, 5, 15, 1, 10, 1, 1, 4, 3, 3, 7, 10, 12, 1, 3, 1, 5, 1, 4, 2, 7, 11, 14, 6, 7, 6, 3, 8, 1, 3, 8, 1, 6, 11, 1, 2, 1, 10, 4, 11, 10, 5, 12, 10, 7, 2, 1, 1, 11, 12, 16, 2, 3, 6, 1, 1, 1, 11, 3, 11, 10, 1, 9, 9, 8, 1, 1, 5, 2, 1, 3, 17, 11, 1, 9, 6, 7, 8, 7, 8, 5, 10, 8, 6, 5, 6, 6, 1, 17, 9, 1, 2, 4, 4, 1, 3, 14, 4, 5, 4, 10, 7, 9, 5, 6, 4, 14, 8, 1, 5, 3, 6, 9, 4, 2, 9, 2, 1, 8, 11, 1, 1, 14, 15, 3, 8, 7, 8, 4, 5, 1, 1, 8, 4, 10, 2, 9, 1, 1, 1, 1, 17, 10, 1, 3, 3, 1, 2, 5, 9, 3, 10, 2, 13, 2, 6, 1, 1, 1, 1, 4, 9, 6, 9, 11, 2, 6, 2, 4, 9, 12, 9, 9, 1, 11, 7, 14, 19, 1, 1, 3, 13, 11, 13, 1, 4, 7, 4, 7, 13, 2, 5, 1, 4, 4, 1, 1, 3, 6, 5, 6, 2, 8, 1, 5, 5, 5, 6, 1, 5, 2, 1, 4, 7, 1, 7, 1, 11, 1, 7, 8, 6, 12, 1, 11, 16, 12, 5, 4, 3, 18, 3, 13, 18, 8, 1] tree_split_feature_index = [29, 23, 0, 18, 32, 13, 33, 24, 1, 33, 6, 30, 29, 0, 34, 31, 13, 17, 27, 26, 22, 30, 15, 18, 18, 30, 14, 25, 0, 27, 25, 29, 15, 22, 2, 8, 29, 15, 35, 21, 20, 34, 1, 34, 32, 2, 1, 14, 1, 14, 31, 26, 14, 33, 33, 2, 34, 30, 21, 0, 32, 33, 32, 32, 33, 1, 33, 0, 18, 2, 9, 27, 15, 26, 30, 33, 33, 28, 2, 0, 2, 34, 13, 32, 33, 15, 14, 18, 28, 13, 1, 26, 33, 13, 5, 28, 34, 25, 4, 14, 14, 2, 25, 13, 18, 32, 31, 29, 33, 32, 1, 30, 3, 14, 33, 31, 14, 31, 0, 29, 1, 26, 33, 1, 19, 20, 33, 1, 12, 0, 15, 31, 22, 34, 3, 29, 13, 0, 30, 34, 25, 17, 35, 6, 27, 1, 2, 4, 13, 1, 22, 27, 1, 18, 28, 13, 13, 34, 33, 34, 25, 16, 13, 34, 14, 30, 22, 32, 2, 12, 2, 31, 29, 1, 14, 34, 15, 10, 31, 30, 14, 33, 20, 23, 18, 2, 2, 1, 12, 25, 31, 22, 29, 33, 22, 0, 7, 18, 33, 17, 7, 2, 15, 32, 14, 25, 15, 16, 27, 18, 31, 32, 17, 15, 30, 11, 27, 14, 9, 33, 14, 13, 5, 25, 1, 13, 2, 4, 2, 1, 34, 30, 28, 15, 33, 31, 14, 1, 25, 20] tree_split_xor_mask = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] cat_features_index = [] one_hot_cat_feature_index = [] one_hot_hash_values = [ ] ctr_feature_borders = [ ] ## Aggregated array of leaf values for trees. Each tree is represented by a separate line: leaf_values = [ 0, 0, 0.001049999981001019, 0, 0.0006999999873340129, 0.0004199999924004077, 0, 0.0003499999936670065, 0.0006999999873340129, 0, 0, 0, 0.0008999999837151595, 0.0008399999848008155, 0, 0.005499108720590722, 0, 0, 0.001310204828003209, 0, 0, 0, 0.002099799992893635, 0.003281666943095616, 0, 0, 0.001081739094670376, 0, 0, 0, 0.001261285375551461, 0.003276219466932844, 0.0001235294095295317, 0, 0.001143749976810068, 0, 0, 0, 0.002145652130229966, 0.001699999969239746, 0.0005409089896827957, 0, 0.0004052632035001316, 0, 0.001076041724695822, 0, 0.001088611397153381, 0.001412068939966888, 0, 0, 0.001978133278083802, 0.001049999981001019, 0, 0, 0.002257627220401316, 0.002847457878670443, 0, 0, 0.002380742281139534, 0, 0, 0, 0.00181075114546265, 0.003175870739941051, 0.0008166451595296908, 0, 0.001435124236388357, 0, 0.002230458559199401, 0, 0.002666874626702434, 0, 0.001534999525103938, 0.001002557986130936, 0.001371602072510968, 0.001025428335548242, 0.002692151343928724, 0.002324272621936243, 0.001188379847259753, 0.002102531171547649, 0.0002273645927514973, 0, 0.002259198170953273, 0, 0.0005932082092034878, 0, 0.001936697595469175, 0, 0.002274218690520189, 0.00329724810179383, 0.003553552019915716, -2.457164545277724e-05, 0.001361408072189387, 0.002058595183732444, 0.002040357509679229, 0.006411161288685438, 0.001238019183794491, 0, 0.0007759661277461006, 0, 0.002378015135461136, 0, 0.0005649959300306291, 0, 0.001080913918043391, 0.005514189264833609, 0.001790046575156435, 0.001103960055365507, 0.002146005492857177, 0.002352553092417847, 0.001165392567571486, 0, 0.0003389142165572722, 0, 0.000740077287450055, 0, 0.0006711111753359577, 0, 0.001173741518772528, 0, 0.0008677387848554152, 0.003458858412712405, 0.001394273280892068, 0.002416533521423629, 0.003145683167659726, 0.002795911932059462, 0.001047576512888525, 0.003163031305315038, 0.0009129029423343652, 0, 0.001144074191038383, 0.001082632696760642, 0.001440903220769709, 0, 0.001514905001989409, 0.002925651941108475, 0.002012673829325104, 0, 0.002033278971484297, 0, 0.002208626396953875, 0, 0.002138406743245975, 0.001254635772118745, 0.001082059430305234, 0, 0.001122376067704065, 0.001125576709130141, 0.001637979748891476, 0, 0.002408824151795335, 0.001008056949978284, 0, 0, -2.48930241162434e-05, 0, 0.0002268093154234987, 0, 0.001189215743427404, 0, 0.0005134126748919131, 0, 0.001122434691332152, 0.0009798344402837434, 0.001188886659128365, 0, 0.001566203399537368, 0.003524223746493217, 0, 0, 0, 0.003146921190378263, 0.001627663875525852, 0.001021933846691373, 0.001817190596706866, 0.003693299601272213, 0.0005040391526869197, 0, -2.994386857673292e-05, 0.0008277188377577771, 0, 0, 0, 0.0005918444625074226, 0, 0, 0.0010149437762209, 0, 0, 0, 0, 0.001007674708366589, 0.002210426290145876, 0.004609131703400858, 0, 0.0004548822671261542, 0.001844159465071961, 0, 0.002616153128055294, 0.001041177734922756, 0.0008008407657871484, 0.0009956836379912497, 0, 0.002653476960353414, 0.001238650465156822, 0.0008506014794468503, 0.002340701763071459, 0.002959788279040323, 0.001277025836974068, 0.001636963354525779, 0, 0.0006236387520754647, 0.0008432112450728702, 0.0004843005920347169, 0.0004656998831989634, 0.0005319818097078564, 0.001742712146033056, 0.002616435633279405, 0, -0.0001218806391712884, 0.002521349609398107, 0.0009848492601612529, 0.002083931859055568, 0.003845368743593319, 0.0009940748950788537, 0.0006973725426027864, 0, 0, 0.002891202587884428, 0.002663313444462092, 0.002237370834898929, 0.0009815646137654517, 0.0006669393138423136, 0.001240037198678756, 0.0009868065176411101, 0, 0.0006359042804499095, 0.001057285046358449, 0.00248369074284534, 0.003073191091062887, 0.001140450712488493, 0.001173067468040639, 0, 0.0004967423527823994, 0.0009760682358985885, 0.001207774019724815, -6.25158191416375e-05, 0.005453691304572142, 0.001330832137348311, 0.001306857817830861, 0, -5.06608423726122e-05, 0.001471800416879423, 0.001065873937392422, 0, 0.006078051642990134, 0.001482952695174765, 0.0007977182178803627, 0.001699290731532891, 0.0003725579360184234, 0.005521088733368942, 0.002255538164508606, 0.0004889912299316019, 0.0003493769908360328, 0, 0, 0, 0, 0, 0, 0, 0, 0.002092878845015874, 0.0009732895310712714, 0.00036168921490122, 0.001584243085936373, 0, 0, 0, 0.0005746073242486493, 0.004126636403864931, 0.002999155766836578, 0.001627672521510095, 0.0009699995159758862, 0, 0, 0, 0, 0.0009168530773113155, 0, 0.0009734059159931621, 0, 0, 0, 0, 0, -0.0001307613050765515, 0, 0, 0, 0, 0, 0, 0, 0.0004806683376756437, 0.0007728847549836729, 0, 0.0009736096305703276, 0, 0, 0, 0, 0.00152227538776793, 0, 0, 0.0009774475903546478, 0, 0, 0, 0, 0.0007583467453168964, -4.65616420217066e-05, 0, 0, 0.0009763734631537025, 0.001173057708415251, 0, 0, 0.0004127097700976151, 0.0007184906908002485, 0.0007245948690537196, 0.0009681501365414904, 0.001189691120416921, 0.001714672407666692, 0.00049635234904298, 0.0009000231799617656, 0, 0, 0, 0, 0, 0.0007178476571389037, 0, 0, 0, 0, 0, 0, 3.722177406109649e-05, 0.000636997086449273, 0, 0.008641197681586405, 0.0002282616998731554, 0.0003213924774184763, 0, 0, 0.001436348719197857, 0.001925669209422832, 0, 0, 0.0005653947466838005, 0.001900914340492695, 0, 0.002747717181938337, 0.001951797836368507, 0.003246227858787568, 0.0003127099061148128, 0.002092598064656505, 0, 0, 0, 0, -5.577111969135052e-05, 0, 0, 0, 0, 0.002135510142843344, 0, 0.003192729498749344, 0, 0.004456762184008181, 0, 0.002104528063594398, 0.001023474980428687, 0, 0.000906763983872677, 0, 0.0007827277778854239, -0.0001081416515343396, 0.0001235127376055386, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0008750679352437445, 0.0002282243907949006, 0.0002744304689974404, 0, 0.00150256721391163, 0.001565394058208524, 0.000775910035609905, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0004257926256224656, -9.901722116396504e-05, 0, 0, 0.0008464207238167961, 0.002769728613357779, 0.0004363212088185658, 0, 0, 0, 0, 0, 0, 0.001126466045340339, 0, 0, 0.0007117208123966983, 0.002993522791120358, 0, 0, 0.002317331166502186, 0.003465518965597914, 0.001364657107718786, 0, 0, 0, 0, 0, 0, 0.001452560891773917, 0, 0, 0.0005613758589379464, 0.0009219981750080404, 0.0009348976190186966, 0, 0.0005068704943758249, 0.001425028026571025, 0, 0.001314084982595513, 0.001699097329188351, 0.001905036185163242, 0.002775884199682219, 0.003090478186362534, 0.0007205428899045473, 0.001600298818847363, 0, 0.00218126082403206, 0, 0.001843565992730628, 0, 0.001949638034310988, 0, 0.001527190697714437, 0, 0.00245824221104658, 0, 0.001492911019850996, 0, 0.003489580691464821, 0, 0.0008731265541112699, 0, 0.002465267556287227, 0, 0.001079947571688516, 0, 0, 0, 0.000831611475620569, 0, 0.001959543087465009, 0, 0, 0, 0, 0, 0.0009579238740418488, 0, 0.001567796365923788, 0, 0.00672596898133782, 0, 0, 0, 0.001629171092953356, 0, 0.002210677008157456, 0, 0.0009641157570907601, 0, -0.0001001058752903886, 0, 0.001095832843292106, 0, 0.001347977822596034, 0.0006327079371794713, 0.001488052653011839, 0.0004200736301532534, 0.001232858496811005, 0.0007923970887414801, 0.001256978329696184, 0.001221426657080716, 0.001454447974266022, 0.0003985530938553768, 0, -0.0001196883653098168, 0, 0.0009296889964452285, 0, 0, 0.002051161119241133, 0, 0, 0.0005619598538839909, 0.0009633060197934321, 0, 0, 0.001656308832600683, 0.002895831980593267, 0, 0, 0, 0, 0, 0, 0, -9.179337714527845e-05, -0.0001762064812445563, 0, -0.0001328563121127101, 0, 0.0009161200338338694, 0.0006396786300038174, 0.0009765978659548806, 0.002685638039062893, 0.003184802296572363, 0.0009084186912147563, 0.0004300592311725243, 0, 0.002231811842174029, 0.002054474271597618, 0.003276887785512821, 0.003183490688925019, 0, 0, 0, 0, 0, 0, 0, 0.0005283654338614633, 0, 0, 0, 0, 0, 0, 0, 0.0003257168533597957, 5.700954582266685e-05, 0, 0, 0, 0.001095737855374496, 0, 0.001883387112529094, 0, 0.0002880897314258111, 0, -0.0001087271223750731, 0, 0.001578619188930892, 0, 0.001377775051389788, 0, 0.0004642614166728012, 0, 0, 0, 0.000703847599481379, 0, 0, 0, 0, 0, 0, 0, 0.0001735809333769575, 0, 0, 0, 0.0006099645895747947, 0, 0.0007185863475787872, 0, 0.001676933255554048, 0, 0.001658931132488054, 0.002735762804800535, 0.001527921913988041, 0, 0.0009615401136629999, 0.00141289139562391, 0.001475136927760257, 0, 0.001144159735147854, 0.003473883078562872, 0.00022797024560031, 0, 0, 0, 0.0007393251050931145, 0, 0.00216132593527546, 0.001353127629122601, 0.003008212315121595, 0, 0.0007227841717303002, 0, 5.759123842912477e-05, 0, 0.001762834130652955, 0.00297835418937364, 0.0005546919438715338, 0.0002943243748681266, 0, 0, 0, 0.0001720964743280745, 0, 0, 0, 0, 0, 0, 0, 0.0001441814931730976, 0, 0, 0.0006577821955114517, 0, 0.003549128058079298, 0.0001532747640207775, 0, -9.326822651507975e-05, 0, 0.001402906556211357, 0, 0, 0, 0, 0, 0, 0, 0, 0.000946848984226312, 0.001151280573512635, 0, 0, 0, 0.001277546833406479, 0, 0, 0, 0, 0, 0, 0, 0.001524984074697322, 0, 0, 0.0009102743459121803, 0.0007093441182761892, 0.0019425115351206, 0.002430602620500465, 0, 0.001459869563390955, 0, 0.003181673580330841, 0, 0, 0, 0, 0, 0.0004261567932981103, 0, 0.002142296294140829, 0.001147474624333823, 0, 0.0003779528386430988, 0, 0.0006541902443637731, 0, 0.0004708144682693904, 0, 0.001464082962196385, 0.002906138680083642, 0.001288494334411182, 0.002891539209447734, 0.000585466288893674, 0, 0.001007231871696916, 0.002308118891569, 0.0005276346619315454, 0, -7.238528447384691e-05, 0, 0.0004592164426055163, 0, 0.0008239530689401256, 0, 0.0003791942948305167, 0, 0, 0, 0.0001647339404340087, 0, 0.0002989911194637925, 0.001365663790448985, 0, 0, 0, 0, 0, 0, 0, 0, 0.001925548371678032, 0.001891629529615849, 0.0005646407831055143, 0.002701864618174111, 7.147471547962771e-05, 0.0008620052826589104, 0, 0.001138848287851654, 0, 0, 0, 0, 0, 0, 0, 0, -0.0002398088657761571, 0, 0, 0, 2.576354264788507e-05, 0.0002214139548453804, -0.0002414365093652876, 0.001061251604840464, 0.0002013764249049746, 0.000917366639743917, 0.0008525183248994414, 0.0003794841036377785, -0.0001643749009769675, 0.001210317902023076, 0, 0.0008329051616726434, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.00083970735938407, -0.0002175569450669028, 0.001677653398762811, 0.0001726247435190301, 0, 0.001287208339638896, 0.002052634741561011, 0, 0, 0.0008009901633901141, 0.001472079533701712, 0, 0, 0.002310511619083026, 0.002401163525133767, 0.001365347611542629, 0.001313033379690525, 0, 0.0006887563298798547, 0.0004518952614744469, 0.001481040022598877, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.001373777532542228, 0.0009763930920764907, 0.004046027403875638, -0.0002521259632939106, 0.003112208520080936, 0.001350941948016121, 0.002014577665098293, 0, 0, 0, -0.0002462828859933606, 0, 0, 0.002629069296257158, 0.005862954204118881, 0.0004790859549230518, 0, 0.0008997583432964345, 0, 0.0001525471276220328, 0, 0.0004311521576220623, -0.0001265728328308268, 0.001686027847406638, 0, 0.001281099379906156, 0, 0.001219780643899494, 0, 0.001324264293795432, 0.004735112650601866, 0.0009426695178308569, 0, 0.0007735032408211148, 0, 0.001452078771013644, 0, 0.00103221695286118, 0.0009256307011252571, 0.0008340582467126562, 0, 0.00190877397142731, 0, 0.003049910741377474, 0, 0.00196791319974683, 0.001593618922110563, 0.0009764353101008779, 0, 0.0005825440598886706, 0, -0.00021961231870758, 0, 0, 0, 0.001123402467051233, 0, 0.001167134350731225, 0, 0.001188543918421786, 0, 0.001154229015541096, 0.004253235189422342, 0.002284093879851813, 0, 0.001362659649924548, 0, 0, 0, 0, 0, 0.002173338323279393, 0, 0.001406984771239539, 0, 0.003120649752992302, -0.000171406546895582, 0.00230453948130206, 0.003014672477066105, 0.001032662684544575, 0.002248810211168729, 0.0003309842478543678, 0.005655843165837675, 0.001286659847519395, 4.808703156784022e-05, 0.001194206824426967, 0, 0.0006282975807396006, 0.000577020528620442, 0.0002226474595428761, 0, 0.002208055468436964, 0, 0.001407929328522681, 0, 0.001681879473906689, 0.00411083761917633, 0.0001053348415681212, 0, -0.0001827511786465752, 0.0008789414564453514, 0, 0, 0.0002568254371929148, 0, 0.0002229173090752916, 0, 9.061453551440768e-05, 0, 0, 0, 0.001179125231423701, 0.002646094938851824, 0.0006866438865648706, 0, 0.001492601822865884, 0.0004230827095796211, 0.004810674632083091, 0, 0.0004987371315424624, 0.001324989481750999, 8.201515024738347e-05, -0.0001225385103019377, 0.0009963135441365676, 0.001244740201719205, 0.001083288388116497, 0, 0.00146154059572115, 0.0003381161334094102, 0.0008918793128729833, 0, -0.0001750984902436151, 0, 0.00433348947896103, 0, 0.0001352688907964669, 0.001874441044154116, 0.0001456727208880867, 0, -0.0001641570109293661, 0, 0, 0, 0.0003860447330430787, 0.0009441052423721017, 0.0003476439067015442, 0.0004601753739435883, 0, 0, 0, 0, 0.0003270551621979899, 0.002097772317586302, 0, -0.0002219270997663479, 0, 0, 0, 0, 0.0007195511043627953, 0.0008214601175947232, 0.0004242938058703341, 0.001579278812866566, 0, 0, -0.0003040831573770945, 0.001949007754549136, 0.0008350080405445388, 0.001369983741606348, 0.00123222945680252, 0.002019728424012638, 0, 0, 0.0009440482064049974, 0.002360201457795225, 0.0005121790518744189, 0.001381922336791715, -3.067591623844845e-05, 0.002351601676010049, 0, 0, 0, 0, 0.0006047087094239398, 0.001832691635420736, 0, 0.0008223899028497514, 0, 0, 0, 0, 0.00115818081495274, 0.00126781545715685, 0.001635655275885175, 0.002168102244447783, 0, 0, 0.008031637080824067, 0.002018118062546359, 0.001241977593918679, 0.001730501712796274, 0.0009512865379352751, 0.003048129662839271, 0, 0, 0.0010393475592768, 0.002198491444049404, 0.0003913477657670481, 0.0001776433224452205, 0, 0, 0.0009588604065355228, 0.0001503734034083292, 0, 0, 0.0004959986585301191, 0.001043430098515842, 0, 0, 0.001128630557694024, 0.001841871030985567, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.0002265836687848523, 0.00512375171563296, 0, 0, 0, 7.726382821462235e-05, 0, 0, 0.001149278185780008, 0.001477027229420396, 0.0007960645057247508, 0.001947750476085518, 0.0004077670511007019, 0.0005058293340611623, 0.000809129568990916, 0.001971802535769538, 0.0006098573917604233, 0.001075011810396122, 0, 0.001997102237202946, 0.00208330301087488, 0.001342140831954671, 0, 0.003187164201439036, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.000464911144362932, 0, 0, 0.0004371420057740448, 8.247931722847632e-05, 0.0006377372123312013, 0.001109929041446531, 5.143371534419677e-05, 0, 0.0004097091008044192, 0.0007900940220652658, 0.0005031826672111415, 0.0008153907591732846, 0.001461616211880015, 0.001815193262718483, -0.0003116021324411342, 0, 0.0009095996756515617, 0, 0.002291576466408346, 0, 0.002138459492934724, 0.001600331900126852, 0, 0, -0.0001610942292411746, 0, 0.001131365516094477, 0.00193258416669068, 0.002028697800723272, 0.001518312281079572, -8.862995417551035e-05, 7.414170220326985e-05, 0.0006745236563667111, 0, -0.0003596408305952347, 0.002475304016857104, 0.0007643565549116918, 0.002094744343968774, 0, 0, 0, 0, 0, 0.003917969910375988, 0.0006973150375794496, 0.002828772006953762, 0, 0.001678108185958525, 0, 0, 0.0008114176049223943, 0.001417307539849559, 0.001274222935512661, 0.0004958912762880536, 0, 0, 0, 0, 0, 0.00204208230446426, 0.000330443317361705, 0.002464619026999841, 0, 0, 0, 0, 0.0002983426220331924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0004630816683900222, 0.001951703174459056, 0.0007228956754614234, 0.001764465074193565, 0.001320908062696159, 0.0008411963537528447, 0.001416957113392152, 0.002077233667698021, 0.001309634365481198, 0.002077895778824863, 0.0006448159975891419, 0.002111541695386318, 0, 0, -0.0004310461846505276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0009886721933268677, -0.0001438676772950446, 0.002091431665123797, 0.002279787477642141, -0.0002409227371454732, 0, 0.002147124901733038, 0.002841404626900846, 0, 0, 0.0001699696515466204, 0.0008844672120044972, 0, 0, -0.0003699578276090883, 0.0001676005456257323, 0.0001793983012264158, 0.001288834623171831, 0, 0, 0.002574751251988635, 0, 0, 0, 0.001057756875784612, 0.002089432946726756, 0.001234815342188786, 0.0004358684318132257, 0.0008134675296787144, 0, 0.002088179682676603, -0.000205583495153904, 0.0004730384432787306, 0.001388434960432572, 0, 0, 0.005004390079206687, 0, 0, 0, 0.0007634604728802551, 0.001773139959352294, 0.001197360476917298, 0.002454143639781718, 0.001307320431898706, -0.0001986983448435149, 0.00133901240958387, 0.001028823499743982, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0002568757867268729, -0.0003605701047921038, 0, 0, 0, 0, 0, 0, 0, 0.0006533056936526917, 0, 0.001603345298890511, 0, 0, 0, 0, 0.0002349441107737621, 0.001070204605495881, 0, 0, 0, -0.0002499864345832289, -0.0004269665449705108, 0.0001230335023671271, 0, 0.0001421980033423798, 0, 0, 0, -0.0002597913196114886, 0, 0, -0.0001139203033147384, 0.0001337558603399644, 0, 0, 0, 0.0002695673563602232, 0.003961545117554517, 0.0002588086836198023, 0, 0.00104628691531056, 0, 0, 0, 0.001310397739226746, 0, -4.514293151957929e-05, -5.174764347297394e-05, 0.0006116698348830377, 0, 0, 0.00160646345197304, 0.001412276158392871, 0.0005336982663205575, 0.001869004584859634, 0, 0.001877803794441093, 0, 0, 0, 0.001888852684344953, 0, 0.002198524577456433, 0.0003086768932654483, 0.0008073299443421475, -0.0001767924348691636, 0, 0.0008665752113336171, 0.001263789341686726, 0.001931808058529097, 0.002507458330292084, 0, 0.001295906239723353, 0, 0, 0, 0.00184487977223504, 0, 0.002218128572817707, 0.0004370548348558439, 9.479924529683638e-05, 0.0008895800870705353, 0, 0.0007959592055627332, 0.0007070972457589404, 0.0007557293203869506, 0, 0.0003294663184985881, 0.003026375846867336, 0, 0, 0.0006490927616651406, 0.002059172208168091, 0.0004770706779533407, 0, 0.0007771184881368155, 0, 0.0006738028043859219, 0, 0.0005336910040779368, 0, 0.0002969254892179262, 0, 0.0001231360108014773, 0, 0, 0, 0.0001357837671910246, 0.0003002685487592086, 0, 0.002859649008896404, 0.001317687927308891, 0.002060962439617899, 0.001443314764561061, 0.0006894532544206441, 0.0009668073852005332, 0.001748086571115165, 0.00137521344837645, 0, 0.0007704025222918058, 0.001388507833876357, 0, 0, 0.001363742369714361, 0.002066568095398951, 0.0003898555146090922, 0, 0.001762673188562153, 0.003751428674806886, 0.001244437958879778, 0, 0.001653722341714604, -0.0002630239111344567, 0.0009502750226179534, 0, -3.017338221654816e-05, -3.989201640791054e-05, 0, 0.003178255065822068, 0.001476134026946278, -1.462514087363432e-05, -0.0003142524089276535, 0.000486495141861921, 0.0001943835444680004, 0, 0, 0, 0.0002240331812782417, 0, 0.0006701439987096509, 0, 0, 0, 0, 0, 0, 0, 0.0004921410082826997, 0, -0.0002424617636249702, 0, 0, 0, 0.0006014632445250946, 0, 0.00276689417959829, 0, 0, 0, 0, 0, -0.0001278131279897669, 0, 0.0007003349866028656, 0, 0.001499419773403555, -0.0001303143167732231, 0, 0, 0.000510134516547279, -0.0002711436653945309, 0.0007125458391180479, 0.000705206706415056, -0.0001228873937963625, 0.0003385344569786375, 0, 0, 0.000632982469996141, 0.0008405616177379049, 0.001090512841233893, 0.002333872845862459, 0.0001586396878037176, 0.0006496276179450808, 0, 0, 0.0006716689523436922, 0.0007254111575520369, 0.001526796551379447, 0.001063095080250531, 0, -0.0001679863894217738, 0, 0, 0.0007010862256403639, 0.0004824180517316391, 0.001164877468056864, 0.00195412712676596, 0.0005112619280082447, 0, 0.0003272966276492061, 0, 0, 0, 0, 0, -0.0003393609085866298, 0, 0.0008940778080894672, 0, 0, 0, 0, 0, 0.0003527550743906264, 0, 0.001059725464391517, 0.0006705043502593931, 0, 0, 0, 0, 0.00016701495452028, 0, 0.00161171855097437, 0.004929670096958925, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.919910110164685e-05, 0.002891972986906783, 0.0009033992679650366, 0.0008024374570966745, 0, 0, 0, 0, 0.0008349325717182366, 0, 0.002507594245492279, 0.001767329088059804, 0, 0, 0, 0.001291624611770433, 4.416614108230082e-05, 0.0008330090853115969, 0, 0, 0, 0.004741807512606731, 0, 0, 0.0003996502120962083, -0.0001771641701209168, 0, 0, 0, 0, 0, 0, 0.0001382164947383385, 0.000609769353192916, 0, 0, 0, 0, 0, 0, 0.0008502818115414042, 0.0004518730171651222, 0, 0, 0, 0.0006225598090978748, 0, 0, 0.0005876892699033777, 0.0009065274893039244, 0.001126564102565757, 8.085171294322993e-05, -0.0001715325137841048, 0.0003925909203808383, 0, 0.003992524538655824, 0.0003556444082775611, 0.000206508196202927, 0.0007399728458506421, 0, 0, 0.005230624924906471, 0, 0, 0.001151056101189732, 0.0008792999514564021, 0.0002424193180213074, 0.0007070394477832507, 0.0003897809721328, 0.001620686455730796, 0, 0, 0.001278429927393064, 0.001716839534014803, 0.0006467624096204209, 0.0005334681565247125, 2.874580468925795e-05, 0.002365307849715441, 0, 0, 0.0004457838185155622, 0.0001477303329805789, 0, 0.0004330327157471265, 0.001226397961305114, 0.0008227732013170902, 0, 0.001556898404647182, 0.0008937904469467099, 0.0007511335315597337, 0, -0.0002553304803072278, 0.0006235707863421843, 0.0002732146675166334, 0, 0.0003310395766033079, 0, 0.0004148857016698474, 0, 0.002089036820786404, 0.003013370832714546, 0.001103242333034682, 0.002748613462814288, 0.001268507617769305, 0, 0.0002680558732410768, -0.0001770509166327605, -0.0004721651508398393, 0, 0.0002240992138782341, 0, 0.0002820782327854938, -0.0001826947978744499, 0.0002672729252460133, 0, 0.0006739044963154077, 0.0003804999416703092, 0.001298381515062058, 0, 0.00142159436962294, 0, 0.0001877870115154373, 0, 0, 0, 0.0004156107156062361, 0, 0.0007186939394944791, 0.0005613918460278383, 0.000259901118897555, 0, 0.001287251632359802, 0.002644259734739129, 0.001398302988821696, 0, 0.002510310302925223, 0, 0.0001920299906846945, 0, 0.0007140078478024878, 0, -0.0002598975659018044, 0, -0.0003557028765433951, 0, 0.0004118773763802626, 0, 0, 0, 0, 0, 0, 0.0001052537201347868, 0.0008801043684982605, 0, 0.001957986259300483, 0, 0, 0, 0, 0, 0.001062205633578738, 0, 0, 0, 0.001331581538270241, 0, 0, -0.000202269531673968, 0.0004951243659295568, 0, 0, -0.0005514439260219043, 0.001124118460383478, 0.006013930578737153, 0.001944673513527142, -0.0003435154324796141, 0.0004834712855508446, 0, 0, 0, 0, 0, 0, 0, 0.001368578906070815, 0, -0.0002842330055847274, 0, 0, 0, 0, 0, 0.0005217925439213561, 0, 0, 0, 0.001307706071132771, 0, 0, 0, 0.000458625522316718, 0, -9.561488344492202e-05, 0.0007664114070454025, 0.001470649878719688, 0, 0.0009756104521401386, 0, 0.0002205772225127711, 0, 0.0004334717040377667, 0, 3.436918506982124e-05, 0, 0.002559635516546922, 0, 0.003680079300314879, 0, 0.000457385199728768, 0, 0, 0, 0.000763069634509319, 0, 0.0002176510001041099, 0, 0.001469653383227878, 0, -0.0001913980820449184, 0, 0.001826793938013944, 0, 0.0007034959397544765, 0.003525450818359568, 0.001199289634510223, 0, 0, 0, 0, 0, 0, 0, 0.0008123215124214078, 0, 0, 0, 0.001292810035514957, 0, 0, 0, 0.0004227281546659704, 0, 0, 0, -0.0003637112665860602, 0, 0, 0, 0.0008733705121944214, 0, 0, 0, 0.001423984910072275, 0, 0, 0, 0.002074532272762638, 0, 0, 0, 0.001294479655344575, 0.0001599055039574294, 0, 0.0002257136778107972, 0, 0.0004546347367196072, 0, 0.0003215244407665189, 0.0006982197203242506, 0.0008749262604560477, 0, 0.0005368929878402595, 0, 0.001528386442899918, 0, 0.001058303898550031, 0.0005512807323598268, -0.0002942043009943486, 0, 0.0002415642746303948, 0, 0.0009545278370857071, 0.003499009937812871, -0.0002909024652521359, 0.001966603378762526, 0.0007453892724158211, 0, 0.001174040893996536, 0, 0.0009049922171881008, 0, 0.001849395341911552, 0.003071495075399925, 0.001031370109143218, 0, 0.001045347222089966, 0, 0, 0, 0, -0.0001897379170536854, 0.001076602080423056, 0, 0.00112817127202079, 0, 0.0008610989263422323, 0.003556990823058347, 0.0009778607184266332, -0.0005032268041360186, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.001482564205917264, 0, 0.000462794699296789, 0.003389776750456209, 0.001250634758664296, 0.002046415175532558, 0.000603953157680443, 0.0005159501875831086, 0.001202450745473448, -0.0006366956719506016, 2.182656381910113e-05, 0.005643520998721226, 0.0007916246515789042, 0.001998684686452683, 0.00135522090819049, 0, 0.0003190557474960592, 0, 0.0002567063050415785, 0, 0, 0, 0.0007840724396161121, -0.0003007760805301267, 0.00146648769700213, 0.002975202156292142, 0.00158903439365493, 0, 0.003968027278086607, 0.001105622709908638, 0, 0, 0.0005926192941052886, 0, 0, 0, 0, 0, 0.0006433038898952797, 0, 0.001006701504417856, 0, 0.001504561623361659, 0, 0.0008037613113265165, 0, -0.0002399789840242214, 0, 0, 0, 0, 0, 0, 0, 0.000479610359043518, 0, 0.001330273915087189, -0.0002914424671217799, 0.002278300564792173, 0, 0.001339515996045488, 0.0002061394550628351, 0, 0, -0.0002194621449551755, 0, 0, 0, 0, 0, -0.0001314629902409394, 0, 0, 0, -0.0001217958066622527, 0, 0, 0, 0.00018786960428199, 0.002540900786889369, 0.0004045782652044384, 0, 0.0009731077392508076, 0.003672634867043356, 0.001299827729682224, 0, 0.0004281411418076815, 0, 0, 0, 0.0005060666353699728, 0, 0, 0, -8.65487960177012e-05, 0, 0.003786191115896908, 0, 0.0005129882450416526, 0.002138921358255183, 0.001653247991037489, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.240561591698899e-05, 0, 0, 0, 0.002351321162154708, 0, 0.0008823043692249379, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.005072352478485125, 0, 0.002787074771693681, 0, 0.0002359570918179275, 0, 0.0005854569139069206, 0, 0.0004616337615132269, 0, 0.000797433020731567, 0, -7.636603883170414e-05, 0, -0.00028666803813216, 0, 0.001206841187985264, 0, 0, 0, 0.0009269639054582864, 0, 0.00167301998042606, 0, 0.001031019562222589, 0, 0.0006905758167883673, 0, 0.002159589809623502, 0, -0.0002886959032310363, 0, 0.001753111813156318, 0, 0, 0, 0.0004329907576144039, 0, 0, 0, 0.0004851943265937404, -0.0002061134902545638, 8.267580286842995e-05, 0, 0.00054340846935207, 0, 0, 0, 0.001106002661620636, 0.003884204916142834, 0.0001124393993266546, -0.000615487204598455, -0.000472942335419231, 0, 0.0002660773694287573, 0, 0.001233353001772555, 0, 0.001788900696746493, 0, 0.0007618469891044292, 0, 0, 0.000255513520985997, 0.001386571099739695, 0.0012343340498139, 0.001009761995230442, 0.006203463216341358, 0.001566203020188703, 0, 0, 0, 0.0006395648676376768, 0, 0.000379391674386905, 0, 0.001218784172794083, 0, 0, 0, 0.0007366568054470348, 0.0006206224144234637, 0.0009633805521285093, 0.0007603450626344802, 0.003322423942843483, 0, 0, 0, 0.0008028253098432809, 0, 0.002184480727643602, 0, 0.0001592955233478109, 0, 0.001193212925726827, 0, 0.0007806259097231593, 0.0009132136475376462, 0.002269859417432952, 0.001268080922730906, 0.0007521292892751599, 0, 0, 0, 0.0004367591688240217, 0, 0, 0, 0.0003540447366904182, 0, 0.0006184440458509447, 0, 0.0003474873478464413, 0.0002298173034177725, 0.001460858084181275, 0.003184964857437237, 0.0002774213741827033, 0, 0, 0, 0.0003154084490730213, 0, 0.001792289081485331, 0, 0.0006601840139478672, 0, 0, 0, 0.0004640740091649089, 0.0006606290465856098, 0.00211653251870919, 0.001130667969910454, 0.0004957663791555808, 0, -0.0002286498472613358, 0, 0.00198440715478025, 0, 0, 0, -7.682533982581565e-05, 0.001114968105371013, 0.001128262989683464, 0.001691476407012788, 0.0004534436235593428, 0.0008561904839115674, 0, 0.001335243152867149, 0.0002049980355813018, -0.0002348286425988066, -0.0001974667253904363, 0, 0.0009883042139718075, 0, 0, 0, 0.001139661295338027, 0.0002383036973947887, 0.00028050246923587, 0.000310851361811938, 0.000338635393017034, 0, 0, -5.054882228854461e-05, 0.0005961700337029149, 0, 0.0005649161726421738, 0, 0.0009026003375709726, 0, -0.0002602811327133601, 0, 0.00044496323810919, 0.0006118068519931851, -1.161541663272616e-05, 0.001368838155952965, 6.743618163529735e-05, 0.00159555103458067, 1.748637094850065e-05, 0.001213887971556645, 0.000831560091133777, 0, 0.001521971227507109, 0, 0.0008248427903978643, 0, 0, 0, 0.0005212070387460906, 0.001011716691470688, 0.001887390030040163, 0.001593464981526011, 0.00106425765806983, 0.0008849868049892529, 0, 0.004089898258925645, 0.0006245922368770038, 0.001477453959484484, 0.001046588334664088, 0.000526555908472648, 0.0003003710828581063, 0.0007150549921222411, 0.002770886949410259, 0.002318503165089323, 0.0004767098439592084, 0.0002867407962747706, 0.0004992409237073098, 0.0005569694209649444, 0.0002611217738867209, 0.002860452699469585, 0.0002203792549041409, 0, 0.001718782397572556, -0.0003527483901661092, 0.001475747457695296, 3.915025288849262e-05, 0, 0, -0.0003736588295881629, 0, 0, 0, 0.002066242243372974, 0.0002058110136802086, -0.0002293819118419396, 0, 0.00117990163549572, 0, 0.0002447578752340292, 0.000973109415931578, 0.001454020743171945, 0.001923907385093556, 0.0001360641625501905, 0.0009560107665711728, -4.152086752587388e-05, 0, 0.0003985135557845219, 0.0003089821642310843, 0.003205479624857065, 0, -0.0002147662881521287, 0.002859489003118774, -0.0002600002625792074, 0, 0.001440569751159551, -0.0004540722990067476, 0.0007292299119242072, 0.0009709327265133118, -0.00026226978229894, 0, 0, 0, -1.040740404085234e-05, 0, -3.807270598069716e-05, -0.0003150055440574298, 0, 0, 0, 0, 0.0006472183468922966, 0.0002434088702764034, 0.0004544826046532497, 3.407087016633137e-05, 0.0008033202770685666, 0.0009980598568196555, 0.0004768770787334251, 0.000956083999709643, 0.0001452365218116053, 0.0009171462950421581, 0.0006493766281333768, 0.001352972036892769, -0.0003085900528866993, 0, -0.0003041650651743638, 0.006010133105989614, 0.0002249245748985749, 0.0008783036068740828, -0.0001139660536591112, 0.0006543922397255835, 0.001186839066589825, 0.001291595796524121, 0.002236551262393564, 0.001028280448503862, 0.0003639655242856853, 0.0007922326900210392, 0.0003521879432942113, 0.0009685003897923954, 0.0006927723605931331, 0.001273621684367036, 0.001284837191394055, 0.002276764255788493, 0.002298701215691014, 0, 0.002727100709206294, 0.002690965613935444, 0, 0, 0, 0, 0.0003200383002903926, 0.0007831236095044405, 0.0005805901153061905, 0.001144747533400322, 0.0002879051100748356, 0, 0, 0, 0, 0.000355881321530924, 1.10135185170107e-05, 0.001249380442174739, 0, 0, 0, 0, -0.0002457569356995543, 0.0007645083513938124, 0.001620734996862686, 0.0004117344113116273, 0, 0, 0, 0, 0.000254484873524248, 0.0007571607248788466, 0, 0, 0.0002916198831999526, -0.0002065706658038267, 0, 0, 0.0009898747761638155, 0.00118848937007789, 0, 0, 0, -0.0002063871110524166, 0, 0, 0.0004679973829481315, 0.0002615621406075641, 0.001468535437405009, -0.0005543736096636801, 3.321240762616192e-05, -0.0004419291564537515, 0.0001047671483041788, 0.0005722166092586193, 0.001202214891969471, 0.001763108584587923, 0.0007605285110972277, 0.001117002005259601, 0.0001585814658563402, -2.190367045826959e-05, 0, 0.0001883712802477449, -0.0001373592227926579, 0.001250304674083139, 0, 0, -0.0004129173855799103, 0, 0, 0, 0.000825678487142151, 0.000956533738709626, 0, 0, 0, 0, 0, 0, 0.0002904446457328633, 0.002327817226538081, 0.001455074431534422, -0.0003066999750643632, -0.0003820533000288267, 0, -0.0005171790177361402, 0, 0.001103666445464082, 0.001437657061948697, -0.0002413267822969417, -0.0003969436833658592, 0, 0, 0, 0.0002745001378961204, -9.16711056973941e-06, 0.0005034566287572076, 0, 0.001441386761064904, 0.0004650239878077921, 0.000486430705943646, 0, 0.0005251381598288845, 0.0001134254723145374, 0.0008620916724859883, 0, -0.0008323764273133311, 0.001453916079918413, 0.0008824879696618304, 0, -0.0001285750717252047, -0.0005069688428288851, 0, 0, 0.005816592077285318, -0.0002254920618075315, -0.0005733754752501158, 0.003707278843993314, 0.00013976365923684, 0, 0, 0, 0.0005986222024746425, 0, 0, -0.0006685565051393909, 0.0007969981287726764, 0.001040804763590685, 0.0005346885863424908, 0, 0.0007155838609951201, 0.0008941458230919449, 0.0004321542448111832, 0, 0.0001943064956706199, 0.0005784127855857222, 0.0005255190997813209, 0, 0.0009245928088131157, 0.0007190333857457896, 0.00140236367636606, 0, 0.001389858276949751, 0, 0, 0, 0, 0, 0.003671353653579372, 0, 0.00065933503866986, 0, 0.0006507363761157676, 0, 0.0006079218177244004, 0, 0.003688788915741222, 0, 0.001141351685431146, 0.0008975346700268612, 0, 0, 0, 0.001095589390694782, 0, 0, 0, -0.000398821727663964, 0, 0, 0, 0.0003960545463579374, 0.001207907130558381, 0, 0, -0.0002523844842442799, 0, 0, 0, 0.0001629665468382726, 0, 0, 0, -0.0001990460313858596, 0, 0, 0, 0.001130564575074068, 0.0003958068608952062, 0, 0, 0.0003425117019766629, -0.0002238008713817761, 0.0002829427106781958, 0, 0.001098319531893118, 0.0007711348545921387, 0, 0.005032509170381743, 0.0006772317497140267, 0.0008418024902062981, 0.001383121280801782, 0, 0.001406084535364068, 0.00377177092102054, 0.0002855971238840317, 0, 0.0009829963219868344, 0, 0.000759501127128191, 0, 0.002051457016826751, 0, -0.0003417858088937196, 0, 0.0005935258633506886, 0, -5.293601014386419e-05, 0, 0.0006672387535825124, 0.003623450780677303, -0.0001267796715909729, 0, -0.0001120267827185123, 0, 4.593413181766548e-05, 0, 0, 0, 0.002433179729224984, 0, 0, 0, -0.0003050968826606913, 0, 0, 0, 0, 0, -0.0005743353462862718, 0.003596274900429651, 0, 0.0002932041150486089, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0002068751794016945, 0, 0.0008758398147185526, 0.000636932734205325, 0.006178877688526687, 0, 0.0008892727130054831, 0, 0, 0, 0.0006343285564268348, 0, 0, 0, -0.0005941083110153163, 0, 0, 0.001434437800170044, 0.001563699247234594, 0.001546392253934484, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ] cat_features_hashes = { } def hash_uint64(string): return cat_features_hashes.get(str(string), 0x7fFFffFF) ### Applicator for the CatBoost model def apply_catboost_model(float_features, cat_features=[], ntree_start=0, ntree_end=catboost_model.tree_count): """ Applies the model built by CatBoost. Parameters ---------- float_features : list of float features cat_features : list of categorical features You need to pass float and categorical features separately in the same order they appeared in train dataset. For example if you had features f1,f2,f3,f4, where f2 and f4 were considered categorical, you need to pass here float_features=f1,f3, cat_features=f2,f4 Returns ------- prediction : formula value for the model and the features """ if ntree_end == 0: ntree_end = catboost_model.tree_count else: ntree_end = min(ntree_end, catboost_model.tree_count) model = catboost_model assert len(float_features) >= model.float_feature_count assert len(cat_features) >= model.cat_feature_count # Binarise features binary_features = [0] * model.binary_feature_count binary_feature_index = 0 for i in range(len(model.float_feature_borders)): for border in model.float_feature_borders[i]: binary_features[binary_feature_index] += 1 if (float_features[model.float_features_index[i]] > border) else 0 binary_feature_index += 1 transposed_hash = [0] * model.cat_feature_count for i in range(model.cat_feature_count): transposed_hash[i] = hash_uint64(cat_features[i]) if len(model.one_hot_cat_feature_index) > 0: cat_feature_packed_indexes = {} for i in range(model.cat_feature_count): cat_feature_packed_indexes[model.cat_features_index[i]] = i for i in range(len(model.one_hot_cat_feature_index)): cat_idx = cat_feature_packed_indexes[model.one_hot_cat_feature_index[i]] hash = transposed_hash[cat_idx] for border_idx in range(len(model.one_hot_hash_values[i])): binary_features[binary_feature_index] |= (1 if hash == model.one_hot_hash_values[i][border_idx] else 0) * (border_idx + 1) binary_feature_index += 1 if hasattr(model, 'model_ctrs') and model.model_ctrs.used_model_ctrs_count > 0: ctrs = [0.] * model.model_ctrs.used_model_ctrs_count; calc_ctrs(model.model_ctrs, binary_features, transposed_hash, ctrs) for i in range(len(model.ctr_feature_borders)): for border in model.ctr_feature_borders[i]: binary_features[binary_feature_index] += 1 if ctrs[i] > border else 0 binary_feature_index += 1 # Extract and sum values from trees result = 0. tree_splits_index = 0 current_tree_leaf_values_index = 0 for tree_id in range(ntree_start, ntree_end): current_tree_depth = model.tree_depth[tree_id] index = 0 for depth in range(current_tree_depth): border_val = model.tree_split_border[tree_splits_index + depth] feature_index = model.tree_split_feature_index[tree_splits_index + depth] xor_mask = model.tree_split_xor_mask[tree_splits_index + depth] index |= ((binary_features[feature_index] ^ xor_mask) >= border_val) << depth result += model.leaf_values[current_tree_leaf_values_index + index] tree_splits_index += current_tree_depth current_tree_leaf_values_index += (1 << current_tree_depth) return result
# http://codingbat.com/prob/p118366 def string_splosion(str): result = "" for i in range( len(str) ): result += str[:i+1] return result
# Python3 m, n = [int(i) for i in input().split()] if n <= 1: print(n) quit() lesser_n = (n+2) % 60 lesser_m = (m+1) % 60 def fibo(n): a, b = 0, 1 for i in range(2, n+1): c = a+b c = c % 10 b, a = c, b return (c-1) if lesser_n <= 1: a = lesser_n-1 else: a = fibo(lesser_n) if lesser_m <= 1: b = lesser_m-1 else: b = fibo(lesser_m) # print(a) # print(b) if a >= b: print(a-b) else: print(10+a-b)
links_file = open("link_queue.txt", "r") link_queue = links_file.readlines() go = [] count = 0 index = 0 while index < len(link_queue): if link_queue[index].find("interforo") == -1: go.append(link_queue[index]) del link_queue[index] else: index = index + 1 count = count + 1 print(count) links_file = open("link_queue.txt", "w") for link in go: links_file.write(link)
''' 有序链表转换二叉搜索树 给定一个单链表,其中的元素按升序排序,将其转换为高度平衡的二叉搜索树。 本题中,一个高度平衡二叉树是指一个二叉树每个节点 的左右两个子树的高度差的绝对值不超过 1。 ''' # Definition for singly-linked list. class ListNode: def __init__(self, val=0, next=None): self.val = val self.next = next # Definition for a binary tree node. class TreeNode: def __init__(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right ''' 思路: ''' class Solution: def sortedListToBST(self, head: ListNode) -> TreeNode: pass
class DockablePanes(object): """ Provides a container of all Revit built-in DockablePaneId instances. """ BuiltInDockablePanes = None __all__ = [ "BuiltInDockablePanes", ]
# Escreva um programa que leia a velocidade de um carro. Se ele ultrapassar 80Km/h, mostre uma mensagem dizendo que ele foi multado. A multa vai custar R$7,00 por cada Km acima do limite. v = float(input('Qual é a velocidade atual do carro? ')) if v > 80: print('Multado!') m = (v - 80) * 7 print(f'Você deve pagar uma multa de R${m}') print('Tenha um bom dia.')
class Run(dict): attributes = ('nx', 'ny', 'nz', 'time', 'NbrOfCores', 'platform', 'configuration', 'repetitions', 'mpiargs', 'tag') def __init__(self, serie, data, **kwargs): super(Run, self).__init__(**kwargs) self.data = data self.parent = serie for x in Run.attributes: if x in data: self[x] = data[x] else: if x in serie: self[x] = serie[x] # if 'repetitions' not in self: # self.repetitions = 1 #if 'results' not in self: self['results'] = [] if hasattr(self, 'init'): self.init(serie, data) def getReduced(self): return { k:self[k] for k in Run.attributes if k in self and (k not in self.parent or self[k] != self.parent[k]) } def getRunAttributes(self): return { k:self[k] for k in Run.attributes if k in self } # Compare based on the attributes named in Run.attributes def __eq__(self, other): if isinstance(other, Run): a = { k:self[k] for k in Run.attributes if k in self } b = { k:other[k] for k in Run.attributes if k in other } return a == b else: return super(Run, self).__eq__(other)
AVAILABLE_THEMES = [ ('suse', 'SUSE', 'themes/suse'), ('default', 'Default', 'themes/default'), ]
# Definition for singly-linked list. # class ListNode(object): # def __init__(self, x): # self.val = x # self.next = None class Solution(object): def deleteDuplicates(self, head): """ :type head: ListNode :rtype: ListNode """ res=ListNode(0) res.next=head last=res while last.next: probe=last.next depth=1 while probe and probe.next and probe.val==probe.next.val: probe=probe.next depth+=1 if depth>1: last.next=probe.next else: last=last.next return res.next
callback_classes = [ ['ns3::ObjectBase *', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'], ['void', 'ns3::Ptr<const ns3::MobilityModel>', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'], ]
""" Initial extension configuration implementations. """
# Copyright 2020 https://www.globaletraining.com/ # Generator send method def simple_gen(start_number=10): i = start_number while True: x = (yield i * 2) if x: # check if used send() i += x else: i += 1 gen1 = simple_gen() print(gen1.__next__()) print(gen1.send(10)) print(gen1.__next__()) print(gen1.send(20)) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__()) print(gen1.send(20)) print(gen1.send(20)) print(gen1.__next__()) print(gen1.__next__()) print(gen1.__next__())
# g code generator for clay extrusions def gCodeLine(generation): def __init__(self, coordinates, z_val = True, extrusion_value = None, feed_value = None, absolute_relative = None): self.X = coordinates.X self.Y = coordinates.Y if z_val: self.Z = coordinates.Z class GCodeSettings: def __init__(self): self.nozzle_bool = False self.feed_rate_bool = False self.extrusion_rate_bool = False self.layers_bool = False self.geometry_bool = False self.distance_bool = False self.diamond_bool = False def setNozzle(self, diameter): self.nozzle_bool = True self.nozzle_settings = ['diameter: ', str(diameter)] def setFeedRate(self, standard, max_body = None, min_pin = None, max_pin = None): self.feed_rate_bool = True self.feed_rate_settings = ['base feed rate:', str(standard)] if not(max_body == None): se # class GCodeGenerator(object): # def __init__(self, paths, relative = False): # self.paths = paths # self.relative = relative # self.extrusion_rate = .3 # per mm # self.z_offset = 1.1 # in mm # def distanceCalculation(self, set): # def startStopRoutine(self, lift_height, extrusion_decrese, wait_times): # def gCodeStringGeneration(self):
# Non-unicode strings are assumed to be CP437. We have an indexed table to # convert CP437 to unicode (index range 0-255 => unicode char) and a dict to # convert Unicode to CP437 (unicode char => CP437 char). These are used by the # fsuCP437_to_Unicode and fsUnicode_to_CP437 functions respectively. asUnicodeCharMapCP437 = [isinstance(x, str) and str(x) or chr(x) for x in [ 0, 9786, 9787, 9829, 9830, 9827, 9824, 8226, 9688, 9675, 9689, 9794, 9792, 9834, 9835, 9788, 9658, 9668, 8597, 8252, 182, 167, 9644, 8616, 8593, 8595, 8594, 8592, 8735, 8596, 9650, 9660, " ", "!", '"', "#", "$", "%", "&", "'", "(", ")", "*", "+", ",", "-", ".", "/", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", ":", ";", "<", "=", ">", "?", "@", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "[", "\\", "]", "^", "_", "`", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "{", "|", "}", "~", 8962, 199, 252, 233, 226, 228, 224, 229, 231, 234, 235, 232, 239, 238, 236, 196, 197, 201, 230, 198, 244, 246, 242, 251, 249, 255, 214, 220, 162, 163, 165, 8359, 402, 225, 237, 243, 250, 241, 209, 170, 186, 191, 8976, 172, 189, 188, 161, 171, 187, 9617, 9618, 9619, 9474, 9508, 9569, 9570, 9558, 9557, 9571, 9553, 9559, 9565, 9564, 9563, 9488, 9492, 9524, 9516, 9500, 9472, 9532, 9566, 9567, 9562, 9556, 9577, 9574, 9568, 9552, 9580, 9575, 9576, 9572, 9573, 9561, 9560, 9554, 9555, 9579, 9578, 9496, 9484, 9608, 9604, 9612, 9616, 9600, 945, 946, 915, 960, 931, 963, 956, 964, 934, 920, 937, 948, 8734, 966, 949, 8745, 8801, 177, 8805, 8804, 8992, 8993, 247, 8776, 176, 8729, 183, 8730, 8319, 178, 9632, 160, ]]; dsbCP437Byte_by_sUnicodeChar = {}; for uCP437Byte in range(0x100): sUnicodeChar = asUnicodeCharMapCP437[uCP437Byte]; dsbCP437Byte_by_sUnicodeChar[sUnicodeChar] = bytes(uCP437Byte); def fsBytesToUnicode(sbCP437Bytes): return "".join([asUnicodeCharMapCP437[ord(sbByte)] for sbByte in sbCP437Bytes]); fsUnicodeFromBytes = fsBytesToUnicode; def fsbUnicodeToBytes(sUnicode): return b"".join([dsbCP437Byte_by_sUnicodeChar.get(sUnicodeChar, b"?") for sUnicodeChar in sUnicode]); fsbBytesFromUnicode = fsbUnicodeToBytes;
# Insertion sort def insertion_sort(A: list): for i in range(1, len(A)): j = i while j > 0 and A[j - 1] > A[j]: A[j], A[j - 1] = A[j - 1], A[j] j -= 1 # Complexity: # worst-case: Θ(n^2) # best-case: Θ(n) # average-case: Θ(n^2) # in-place: yes
monthConversions = { "Jan": "January", "Feb": "Februry", "Mar": "March", "Apr": "April", "May": "May", "Jun": "June", "Jul": "July", "Aug": "August", "Sep": "September", "Oct": "October", "Nov": "November", "Dec": "December", } print(monthConversions["Oct"]) print(monthConversions.get("Dec")) # Loop Through a Dictionary for item in monthConversions: print(monthConversions[item]) # from Mosh phone = input("Phone: ") digit_mapping = { "1": "One", "2": "Two", "3": "Three", "4": "Four", } output = "" for digit in phone: output += digit_mapping.get(digit, "!") + " " print(output)
a=[2,6,7,5,11,15] n=len(a) print("old array=",a) for i in range(n-1): if a[i]<=a[i+1]: continue t=a[i+1] j=i+1 while j>=1 and a[j-1]>t: a[j]=a[j-1] j=j-1 a[j]=t print("Sorted Array=",a)
# -*- coding: utf-8 -*- # # This file is part of Invenio. # Copyright (C) 2015-2018 CERN. # # Invenio is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. """Default configuration values for Celery integration. For further Celery configuration variables see `Celery <http://docs.celeryproject.org/en/3.1/configuration.html>`_ documentation. """ BROKER_URL = 'redis://localhost:6379/0' CELERY_BROKER_URL = BROKER_URL # For Celery 4 """Broker settings.""" CELERY_RESULT_BACKEND = 'redis://localhost:6379/1' """The backend used to store task results.""" CELERY_ACCEPT_CONTENT = ['json', 'msgpack', 'yaml'] """A whitelist of content-types/serializers.""" CELERY_RESULT_SERIALIZER = 'msgpack' """Result serialization format. Default is ``msgpack``.""" CELERY_TASK_SERIALIZER = 'msgpack' """The default serialization method to use. Default is ``msgpack``."""