How to use stop_execution method in localstack

Best Python code snippet using localstack_python

metrics.py

Source:metrics.py

1# metrics.py 2# script holding function to analyse unipartite and bipartite networkx3# last modified     : 16/11/214# author            : jonas-mika senghaas5import os6import sys7import time8from datetime import date9from collections import Counter10import numpy as np11import pandas as pd12import networkx as nx13from tqdm import tqdm14local_path = os.path.dirname(os.path.realpath(__file__))15if local_path not in sys.path:16    sys.path.append(local_path)17from handle_timeout import * 18#--- GLOBAL SETUP 19STOP_EXECUTION = 60 20np.set_printoptions(suppress=True)21#--- HELPER FUNCTIONS22def five_num_summary(arr):23    """24    Function to compute a five-number-summary of any given 1-dimensional data, 25    that is passed in as an iterable. Uses numpy's percentile() function.26    Function Arguments 27    ------------------28    arr : iterable  |   1D Data29    Returns30    -------31    np.array(5)     |   Five-Number Summary of Data32    """33    return np.percentile(arr, [0, 25, 50, 75, 100])34@break_after(STOP_EXECUTION)35def get_degrees(G):36    """37    Function to extract an (unsorted) iterable of all degrees from a38    nx.Graph object. Uses nx.Graph degree() method.39    Function Arguments 40    ------------------41    G : nx.Graph                |   Graph 42    Returns43    -------44    degrees : iterable          |   Unsorted Degrees of Graph 45    """46    return [degree for _, degree in G.degree()]47@break_after(10)48def get_lccs(G):49    """50    Function to extract an (unsorted) iterable of all local clustering51    coefficients from a nx.Graph object. Uses nx.clustering function.52    Note: Computationally expensive, may abort on huge graphs.53    Function Arguments 54    ------------------55    G : nx.Graph                |   Graph 56    Returns57    -------58    lccs : iterable             |   Unsorted LCC's of Graph 59    """60    return list(nx.clustering(G).values())61@break_after(STOP_EXECUTION)62def get_ccs(G):63    """64    Function to extract an  iterable of all connected components65    (disconnected) nx.Graph object. Uses nx.connected_components() function.66    Function Arguments 67    ------------------68    G : nx.Graph                |   Graph 69    Returns70    -------71    ccs : iterable(nx.Graph)    |   Unsorted LCC's of Graph 72    """73    return [G.subgraph(cc) for cc in nx.connected_components(G)]74@break_after(STOP_EXECUTION)75def get_edge_weights(G):76    """77    Function to extract an iterable of all edge_weights from a 78    nx.Graph object. 79    Function Arguments 80    ------------------81    G : nx.Graph                |   Graph 82    Returns83    -------84    edge_weights : iterable(float) |   Iterable of edge weights 85    """86    if not nx.is_weighted(G):87        return None88    return [edge[-1]['weight'] for edge in G.edges(data=True)] 89#--- SINGLE NETWORK METRICS90# basic network statistics91@break_after(STOP_EXECUTION)92def number_of_nodes(G):93    """94    Returns number of nodes in graph. Uses number_of_nodes() 95    method on  nx.Graph object.96    Function Arguments 97    ------------------98    G : nx.Graph                |   Graph 99    Returns100    -------101    node_count : int            |   Number of Nodes102    """103    return G.number_of_nodes()104@break_after(STOP_EXECUTION)105def number_of_edges(G):106    """107    Returns number of edges in graph. Uses number_of_edges() 108    method on  nx.Graph object.109    Function Arguments 110    ------------------111    G : nx.Graph                |   Graph 112    Returns113    -------114    edge_count : int            |   Number of Edges115    """116    return G.number_of_edges()117@break_after(STOP_EXECUTION)118def global_density(G):119    """120    Returns global density of graph, which is the proportion of121    the number of existing edges of from all edges that can122    possibly exist, st. for an undirected graph:123    density = |E| / N(N-1)124    Function Arguments 125    ------------------126    G : nx.Graph                |   Graph 127    Returns128    -------129    density : float[0,1]        |   Global Density Measure 130    """131    return nx.density(G)132@break_after(STOP_EXECUTION)133def global_diameter(G):134    """135    Returns global diameter, which corresponds to the 136    longest shortest path in the network. Can only be computed137    for fully connected graphs. Otherwise, callable on CCs (ie.138    largest CC)139    Function Arguments 140    ------------------141    G : nx.Graph                |   Graph 142    Returns143    -------144    diameter : int              |   Global Diameter Measure 145    """146    if nx.is_connected(G):147        return nx.diameter(G)148    else: return 'No Global Diameter (Unconnected Graph)'149# edge weights statistics150@break_after(STOP_EXECUTION)151def average_edge_weight(edge_weights):152    return np.mean(edge_weights) if edge_weights else None153@break_after(STOP_EXECUTION)154def summarise_edge_weights(edge_weights):155    return five_num_summary(edge_weights) if edge_weights else None156@break_after(STOP_EXECUTION)157def variance_edge_weights(edge_weights):158    return np.var(edge_weights) if edge_weights else None159@break_after(STOP_EXECUTION)160def most_frequent_edge_weight(edge_weights):161    return Counter(edge_weights).most_common()[0][0] if edge_weights else None162# degree statistics163@break_after(STOP_EXECUTION)164def average_degree(degrees):165    """166    Returns average degree from iterable of degrees.167    Function Arguments 168    ------------------169    degrees : iterable(int)     |   Iterable of Degrees 170    Returns171    -------172    average_degree : float      |   Average Degree 173    """174    return np.mean(degrees) if degrees else None175@break_after(STOP_EXECUTION)176def summarise_degrees(degrees):177    """178    Returns Five-Number-Summary of Degrees from iterable179    of degrees.180    Function Arguments 181    ------------------182    degrees : iterable(int)     |   Iterable of Degrees 183    Returns184    -------185    summary : np.array(5)       |   Five-Num-Summary of Degrees 186    """187    return five_num_summary(degrees) if degrees else None188# local clustering coefficient189@break_after(STOP_EXECUTION)190def average_lcc(lccs):191    """192    Returns average local clustering coefficient from 193    iterable of local clustering coefficients.194    Function Arguments 195    ------------------196    lccs : iterable(float)      |   Iterable of LCCs 197    Returns198    -------199    average_lcc : float         |   Average LCC 200    """201    return np.mean(lccs) if lccs else None202@break_after(STOP_EXECUTION)203def summarise_lcc(lccs):204    """205    Returns Five-Number-Summary of local clustering 206    coefficients from iterable of local clustering 207    coefficients.208    Function Arguments 209    ------------------210    lccs : iterable(float)      |   Iterable of LCCs 211    Returns212    -------213    summary : np.array(5)       |   Five-Num-Summary of LCCs214    """215    return five_num_summary(lccs) if lccs else None216# connected components (size)217@break_after(STOP_EXECUTION)218def number_of_ccs(ccs):219    """220    Returns number of connected components from iterable221    of connected subgraphs. 222    Function Arguments 223    ------------------224    ccs : iterable(nx.Graph)    |   Iterable of connected subgraphs 225    Returns226    -------227    #ccs : int                  |  Number of CCs 228    """229    return len(ccs) if ccs else None230@break_after(STOP_EXECUTION)231def average_cc_size(ccs):232    """233    Returns Average Size of connected components from iterable234    of connected components as nx.Subgraphs().235    Function Arguments 236    ------------------237    ccs : iterable(nx.Graph)    |   Iterable of connected subgraphs 238    Returns239    -------240    average_size : float        |  Average Size of CCs241    """242    return np.mean([cc.number_of_nodes() for cc in ccs]) if ccs else None243@break_after(STOP_EXECUTION)244def summarise_cc_size(ccs):245    """246    Returns Five-Number-Summary of sizes of connected components 247    from iterableof connected components as nx.Subgraphs().248    Function Arguments 249    ------------------250    ccs : iterable(nx.Graph)    |   Iterable of connected subgraphs 251    Returns252    -------253    summary : np.array(5)       |   Five-Num-Summary of CC Sizes254    """255    return five_num_summary([cc.number_of_nodes() for cc in ccs]) if ccs else None256@break_after(STOP_EXECUTION)257def average_cc_density(ccs):258    """259    Returns the average density in all connected components.260    Function Arguments 261    ------------------262    ccs : iterable(nx.Graph)    |   Iterable of connected subgraphs 263    Returns264    -------265    average_density : float     |   Average Density among all CCs266    """267    return np.mean([nx.density(cc) for cc in ccs]) if ccs else None268@break_after(STOP_EXECUTION)269def summarise_cc_density(ccs):270    """271    Returns Five-Number-Summary of densities in all connected components.272    Function Arguments 273    ------------------274    ccs : iterable(nx.Graph)    |   Iterable of connected subgraphs 275    Returns276    -------277    summary : np.array(5)       |   Five-Num-Summary of Densities among all CCs278    """279    return five_num_summary([nx.density(cc) for cc in ccs]) if ccs else None280@break_after(STOP_EXECUTION)281def average_diameter(ccs):282    """283    Returns average diameter of all connected components.284    Function Arguments 285    ------------------286    ccs : iterable(nx.Graph)     |   Iterable of connected subgraphs 287    Returns288    -------289    average_diameter : float     |   Average Diameter among all CCs290    """291    return np.mean([nx.diameter(cc) for cc in ccs]) if ccs else None292@break_after(STOP_EXECUTION)293def summarise_diameter(ccs):294    """295    Returns Five-Number-Summary of diameter in all connected components.296    Function Arguments 297    ------------------298    ccs : iterable(nx.Graph)    |   Iterable of connected subgraphs 299    Returns300    -------301    summary : np.array(5)       |   Five-Num-Summary of diameters among all CCs302    """303    return five_num_summary([nx.diameter(cc) for cc in ccs]) if ccs else None304# centrality measures305@break_after(STOP_EXECUTION)306def degree_centrality(G, n):307    """308    Returns the n most degree central nodes from a nx.Graph.309    Function Arguments 310    ------------------311    G : nx.Graph                |   Graph 312    n : int                     |   Number of nodes to return313    Returns314    -------315    nodes : iterable(node)      |   N most degree central nodes  316    """317    return [x[0] for x in sorted([item for item in nx.algorithms.centrality.degree_centrality(G).items()], 318                key=lambda item: item[1], reverse=True)[:n]]319@break_after(10)320def betweenness_centrality(G, n):321    """322    Returns the n nodes with highest betweenness centrality 323    from a nx.Graph.324    Function Arguments 325    ------------------326    G : nx.Graph                |   Graph 327    n : int                     |   Number of nodes to return328    Returns329    -------330    nodes : iterable(node)      |   N most between nodes331    """332    return [x[0] for x in sorted([item for item in nx.algorithms.centrality.betweenness_centrality(G).items()], 333                key=lambda item: item[1], reverse=True)[:n]]334#--- NETWORK STATISTIC BUNDLER335#--- Combines functions in similar fields into dictionary to conveniently call together (also faster in execution)336def export_metrics(G):337    degrees = get_degrees(G)338    lccs = get_lccs(G)339    try: 340        ccs = get_ccs(G)341    except: 342        ccs = None343    edge_weights = get_edge_weights(G)344    try: gd = global_diameter(G)345    except: gd = None346    return {'Basic Statistics': 347                 {348                 'Number of Nodes': number_of_nodes(G), 349                 'Number of Edges': number_of_edges(G), 350                 'Global Density' : global_density(G),351                 'Global Diameter': gd352                    #'Average Diameter': f'{round(average_diameter(G), 2)}', 'Five-Number-Summary Diameter': summarise_diameter(G)}353                 },354            'Degree Statistics': 355                {356                'Average Degree': average_degree(degrees),357                'Five-Number-Summary Degrees': summarise_degrees(degrees)358                },359            'Edge Weight Statistics':360                {361                'Average Edge Weight': average_edge_weight(edge_weights),362                'Five-Number-Summary Edge Weights': summarise_edge_weights(edge_weights),363                'Variance of Edge Weights': variance_edge_weights(edge_weights),364                'Most Frequent Edge Weight': most_frequent_edge_weight(edge_weights)365                },366            'Clustering Statistics':367                {368                'Average LCC': average_lcc(lccs),369                'Five-Number-Summary LCC': summarise_lcc(lccs)370                },371            'Connected Components Statistics': 372                {373                 'Number of CC': number_of_ccs(ccs), 374                 'Average CC Size': average_cc_size(ccs), 375                 'Five-Number-Summary of CC Sizes': summarise_cc_size(ccs),376                 'Average CC Density': average_cc_density(ccs),377                 'Five-Number-Summary of CC Densities': summarise_cc_density(ccs)378                },379            'Centrality Statistics':380                {381                'Degree Centrality': degree_centrality(G, 10),382                'Betweenness Centrality': betweenness_centrality(G, 10)383                }384            }385if __name__ == '__main__':386    start = time.time()387    G = nx.read_gpickle('../data/projections/pickle_format/simple_weight.pickle')388    #G = nx.karate_club_graph()389    end = time.time()390    print(f'Finished Reading in {end-start}s')...

hooks.py

Source:hooks.py

...23                    emu.mem_write(address, "\xdd\xdd\xdd\xdd")24                skip = True25        for op in emu.arch.calls:26            if opcode.startswith(op):27                emu.stop_execution()28                skip = True29        if not skip:30            emu.stop_execution()31    if access == UC_MEM_WRITE:32        if emu.verbosity_level > 1:33            print "Instruction 0x{:x} writes value 0x{:x} with 0x{:x} bytes into 0x{:x}".format(current_address, value,34                                                                                                size, address)35        value_hex = int_to_hex(value, size)36        prev_value = addr_to_int(emu.mem_read(address, size)) if address in emu.memory else 037        emu.add_to_emulator_mem(address, value_hex)38    else:39        # memory read index replacement40        if emu.mem_read_index_map:41            if emu.mem_read_index_counter in emu.mem_read_index_map:42                value = emu.mem_read_index_map[emu.mem_read_index_counter]43                emu.mem_write(address, value)44            emu.mem_read_index_counter += 145            if emu.stop_next_instruction:46                opcode = str(emu.mem_read(current_address, size)).encode("hex")47                if opcode.startswith("c3") or opcode.startswith("cb"):48                    value = addr_to_int("\xdd\xdd\xdd\xdd")49                    emu.mem_write(address, "\xdd\xdd\xdd\xdd")50                    SP = emu.reg_read(emu.arch.SP)51                    emu.reg_write(emu.arch.SP, SP + 4)52                if opcode.startswith("c2") or opcode.startswith("ca"):53                    value = addr_to_int("\xdd\xdd\xdd\xdd")54                    emu.mem_write(address, "\xdd\xdd\xdd\xdd")55                    SP = emu.reg_read(emu.arch.SP)56                    v = addr_to_int(opcode[1:])57                    emu.reg_write(emu.arch.SP, SP + 4 + v)58                if opcode.startswith("e8") or opcode.startswith("9a") or opcode.startswith("ff"):59                    emu.stop_execution()60        value = addr_to_int(emu.mem_read(address, size))61        if emu.no_zero_mem and value == 0:62            value = 163            emu.mem_write(address, "\x01")64        prev_value = value65        if emu.verbosity_level > 1:66            print "Instruction 0x{:x} reads value 0x{:x} with 0x{:x} bytes from 0x{:x}".format(current_address, value,67                                                                                               size, address)68    if emu.memory_trace:69        emu.memory_tracer.add_trace(current_address, access, address, prev_value, value, size)70    return True71def hook_code(uc, address, size, emu):72    opcode = str(emu.mem_read(address, size))73    if emu.stop_next_instruction:74        emu.stop_execution()75    if address == emu.final_instruction:76        emu.stop_next_instruction = True77        for op in emu.arch.jumps.union(emu.arch.conditional_jumps):78            if opcode.encode("hex").startswith(op):79                emu.stop_execution()80                return False81    if emu.verbosity_level > 1:82        print "0x{:x};{}".format(address, opcode.encode("hex"))83    # handle breakpoint84    if emu.instruction_breakpoints_enabled and address in emu.instruction_breakpoints:85        cb = emu.instruction_breakpoints[address][0]86        args = emu.instruction_breakpoints[address][1]87        call = cb(emu, *args)88        # bp handler returns False89        if not call:90            emu.stop_execution()91            return False92    if emu.instruction_trace:93        emu.code_tracer.add_instruction_trace(address, opcode, size)94    if emu.force_path:95        if not emu.enforced_path:96            emu.stop_execution()97            return False98        path_addr, path_instr_size = emu.enforced_path.popleft()99        if path_addr != address:100            emu.stop_execution()101            emu.enforced_path.appendleft((path_addr, size))102            return False103    return True104def hook_block(uc, address, size, emu):105    opcodes = str(emu.mem_read(address, size))106    # handle breakpoint107    if emu.basic_block_breakpoints_enabled and address in emu.basic_block_breakpoints:108        cb = emu.basic_block_breakpoints[address][0]109        args = emu.basic_block_breakpoints[address][1]110        call = cb(emu, *args)111        # bp handler returns False112        if not call:113            emu.stop_execution()114    if emu.verbosity_level > 1:115        print "Basic block at 0x{:x}".format(address)116    if emu.basic_block_trace:117        emu.code_tracer.add_basic_block_trace(address, opcodes, size)...

timer_utils.py

Source:timer_utils.py

1import time2class Timer(object):3    def __init__(self):4        self.start_execution = 05        self.stop_execution = 06    def reset_timer(self):7        self.start_execution = 08        self.stop_execution = 09    def start_timer(self):10        self.start_execution = time.time()11    def stop_timer(self):12        self.stop_execution = time.time()13        self.print_time()14    def print_time(self):...

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