repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
lm-intervention | lm-intervention-master/attention_figures1.py | """
Creates figures for attention intervention analysis from JSON files:
- Stacked bar chart with direct/indirect/total effects
- Heatmap for head-level effects
- Barplot for layer-level effects
- Combined heatmap/barplot for head- and layer-level effects
"""
import json
import os
import numpy as np
i... | 11,984 | 46.371542 | 174 | py |
lm-intervention | lm-intervention-master/analysis.py | import os
import numpy as np
import pandas as pd
from glob import glob
from tqdm import tqdm
import matplotlib.pyplot as plt
import sys
import seaborn as sns
sns.set_context('talk')
sns.set_style('whitegrid')
PATH = sys.argv[1]
FIGURES_PATH = sys.argv[2]
by_feather = sys.argv[3].lower() == 'true'
MODELS = ['Distil', ... | 6,514 | 37.779762 | 78 | py |
lm-intervention | lm-intervention-master/attention_intervention_model.py |
"""
Changes the huggingface transformer attention module to allow interventions
in the attention distribution.
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
class AttentionOverride(nn.Module):
"""A copy of `modeling_gpt2.Attention` class, but with overridden attention values"... | 29,231 | 39.998597 | 127 | py |
lm-intervention | lm-intervention-master/utils_num_agreement.py | import pandas as pd
from copy import deepcopy
def batch(iterable, bsize=1):
total_len = len(iterable)
for ndx in range(0, total_len, bsize):
yield list(iterable[ndx:min(ndx + bsize, total_len)])
def convert_results_to_pd(interventions, intervention_results, layer_fixed=None, neuron_fixed=None):
... | 3,316 | 43.226667 | 101 | py |
lm-intervention | lm-intervention-master/attention_intervention_structural.py | """Performs attention intervention on Winobias samples and saves results to JSON file."""
import json
import os
import random
import sys
from pandas import DataFrame
from transformers import (
GPT2Tokenizer, TransfoXLTokenizer, XLNetTokenizer
)
from attention_utils import perform_interventions, get_odds_ratio
fr... | 8,648 | 46.262295 | 149 | py |
lm-intervention | lm-intervention-master/attention_figures2.py | """
Creates figures for attention intervention analysis from JSON files:
- Stacked bar chart with direct/indirect/total effects
- Heatmap for head-level effects
- Barplot for layer-level effects
- Combined heatmap/barplot for head- and layer-level effects
"""
import json
import os
import numpy as np
i... | 14,418 | 45.067093 | 174 | py |
lm-intervention | lm-intervention-master/make_feathers.py | import os
import pandas as pd
from glob import glob
from tqdm import tqdm
import sys
PATH = sys.argv[1]
MODELS = ['Distil', 'Small', 'Medium', 'Large', 'XL']
CHUNKSIZE = 100000
EXAMPLE_TYPES = ['None', 'Distractor', 'Plural attractor',
'Singular attractor']
def get_size(f):
for m in MODELS:
if m.... | 2,629 | 33.155844 | 77 | py |
lm-intervention | lm-intervention-master/featherify.py | import pandas as pd
import os, sys
from glob import glob
from tqdm import tqdm
PATH = sys.argv[1]
dtypes = {
'word': 'category',
'base_string': 'category',
'alt_string1': 'category',
'candidate1': 'category',
'candidate2': 'category',
'layer': 'int32',
'neuron': 'int32',
}
files = list(filter(lambda x:... | 488 | 21.227273 | 68 | py |
lm-intervention | lm-intervention-master/heatmaps.py | import pandas as pd
import matplotlib.pyplot as plt
import sys
import seaborn as sns
sns.set()
PATH = sys.argv[1]
FIGURES_PATH = sys.argv[2]
MODELS = ['Distil', 'Small', 'Medium', 'Large', 'XL']
EXAMPLE_TYPES = ['None', 'Distractor', 'Plural attractor',
'Singular attractor']
FORMAT = '.pdf'
def draw_heatmap... | 1,188 | 28 | 72 | py |
lm-intervention | lm-intervention-master/transformers_modified/modeling_transfo_xl.py | """ A copy of transformers/modeling_transfo_xl.py from the Huggingface
transformers library modified so that the attention module is called with
non-keyword arguments (to make those arguments accessible to the hook).
"""
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Auth... | 40,378 | 42.795011 | 151 | py |
lm-intervention | lm-intervention-master/transformers_modified/modeling_xlnet.py | """ A copy of transformers/modeling_xlnet.py from the Huggingface
transformers library modified so that the attention module is called with
non-keyword arguments (to make those arguments accessible to the hook).
"""
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors a... | 79,781 | 47.946012 | 304 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/main_n_val.py | from logging import getLogger
from pathlib import Path
from time import time
import warnings
import hydra
import numpy as np
from obp.dataset import linear_reward_function
from obp.dataset import SyntheticBanditDatasetWithActionEmbeds
from obp.ope import RegressionModel
from omegaconf import DictConfig
from ope import... | 6,247 | 37.331288 | 88 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/main_n_actions.py | from logging import getLogger
from pathlib import Path
from time import time
import warnings
import hydra
import numpy as np
from obp.dataset import linear_reward_function
from obp.dataset import SyntheticBanditDatasetWithActionEmbeds
from obp.ope import RegressionModel
from omegaconf import DictConfig
from ope import... | 5,801 | 36.432258 | 88 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/main_n_def_actions.py | from logging import getLogger
from pathlib import Path
from time import time
import warnings
import hydra
import numpy as np
from obp.dataset import linear_reward_function
from obp.dataset import SyntheticBanditDatasetWithActionEmbeds
from obp.ope import RegressionModel
from omegaconf import DictConfig
from ope import... | 5,899 | 37.064516 | 88 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/main_eps.py | from logging import getLogger
from pathlib import Path
from time import time
import warnings
import hydra
import numpy as np
from obp.dataset import linear_reward_function
from obp.dataset import SyntheticBanditDatasetWithActionEmbeds
from obp.ope import RegressionModel
from omegaconf import DictConfig
from ope import... | 5,750 | 36.103226 | 88 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/ope.py | from typing import Dict
from typing import Optional
import numpy as np
from obp.ope import DirectMethod as DM
from obp.ope import DoublyRobust as DR
from obp.ope import DoublyRobustWithShrinkageTuning as DRos
from obp.ope import InverseProbabilityWeighting as IPS
from obp.ope import MarginalizedInverseProbabilityWeigh... | 3,080 | 35.678571 | 88 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/main_beta.py | from logging import getLogger
from pathlib import Path
from time import time
import warnings
import hydra
import numpy as np
from obp.dataset import linear_reward_function
from obp.dataset import SyntheticBanditDatasetWithActionEmbeds
from obp.ope import RegressionModel
from omegaconf import DictConfig
from ope import... | 5,764 | 36.193548 | 88 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/policy.py | import numpy as np
def gen_eps_greedy(
expected_reward: np.ndarray,
is_optimal: bool = True,
eps: float = 0.0,
) -> np.ndarray:
"Generate an evaluation policy via the epsilon-greedy rule."
base_pol = np.zeros_like(expected_reward)
if is_optimal:
a = np.argmax(expected_reward, axis=1)
... | 565 | 23.608696 | 64 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/plots.py | import matplotlib.pyplot as plt
import seaborn as sns
registered_colors = {
"MIPS": "tab:gray",
"MIPS (true)": "tab:orange",
"MIPS (w/ SLOPE)": "tab:green",
"IPS": "tab:red",
"DR": "tab:blue",
"DM": "tab:purple",
"SwitchDR": "tab:brown",
r"DR-$\lambda$": "tab:olive",
"DRos": "tab:p... | 9,993 | 28.480826 | 96 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/main_noise.py | from logging import getLogger
from pathlib import Path
from time import time
import warnings
import hydra
import numpy as np
from obp.dataset import linear_reward_function
from obp.dataset import SyntheticBanditDatasetWithActionEmbeds
from obp.ope import RegressionModel
from omegaconf import DictConfig
from ope import... | 5,775 | 36.264516 | 88 | py |
icml2022-mips | icml2022-mips-main/src/synthetic/main_n_unobs_cat_dim.py | from logging import getLogger
from pathlib import Path
from time import time
import warnings
import hydra
import numpy as np
from obp.dataset import linear_reward_function
from obp.dataset import SyntheticBanditDatasetWithActionEmbeds
from obp.ope import RegressionModel
from omegaconf import DictConfig
from ope import... | 5,962 | 36.980892 | 88 | py |
icml2022-mips | icml2022-mips-main/src/real/main.py | from dataclasses import dataclass
from logging import getLogger
from pathlib import Path
from time import time
from typing import Optional
import warnings
import hydra
import matplotlib.pyplot as plt
import numpy as np
from obp.dataset import OpenBanditDataset
from obp.ope import RegressionModel
from obp.policy import... | 8,837 | 30.791367 | 82 | py |
icml2022-mips | icml2022-mips-main/src/real/ope.py | import itertools
from typing import Dict
from typing import Optional
import numpy as np
from obp.ope import BaseOffPolicyEstimator
from obp.ope import DirectMethod as DM
from obp.ope import DoublyRobust as DR
from obp.ope import DoublyRobustWithShrinkageTuning as DRos
from obp.ope import InverseProbabilityWeighting as... | 8,411 | 33.904564 | 96 | py |
litemangle | litemangle-master/litemangle.py | #!/usr/bin/env python
#
import numpy as N
import os
import sys
import re
import string
class LiteMangle:
"""
LiteMangle:
A Python class to implement some very basic mangle routines which
allow us to manipulate a mangle mask.
This is a subset of the more complicated Python-based Mangle package,
... | 8,796 | 33.229572 | 79 | py |
randCache | randCache-main/Type-III/main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 16:54:52 2021
@author: anirban
"""
import argparse
from simulator import Simulator
from collections import OrderedDict
import configparser
import random
def parse_cli_args():
parser = argparse.ArgumentParser()
parser.add_argument(
... | 2,865 | 24.81982 | 88 | py |
randCache | randCache-main/Type-III/word_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:57:06 2021
@author: anirban
"""
class WordAddress(int):
def get_consecutive_words(self, num_words_per_block):
offset = self % num_words_per_block
return [(self - offset + i) for i in range(num_words_per_block)] | 309 | 22.846154 | 72 | py |
randCache | randCache-main/Type-III/getHM.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 28 14:29:38 2021
@author: anirban
"""
import matplotlib.pyplot as plt
import numpy as np
with open("timing_nopart_rand_cache.txt", 'r') as f1:
file = f1.readlines()
timing = list(filter(None, list(map(lambda each:each.strip("\n"), file)))... | 1,109 | 23.666667 | 79 | py |
randCache | randCache-main/Type-III/table.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 19 15:26:46 2021
@author: anirban
"""
class Table(object):
alignment_symbols = {
'left': '<',
'center': '^',
'right': '>'
}
def __init__(self, num_cols, width, alignment='left', title=No... | 1,235 | 27.744186 | 153 | py |
randCache | randCache-main/Type-III/bin_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:44:28 2021
@author: anirban
"""
import random
from present import Present
class BinaryAddress(str):
partition = None
def __new__(cls, bin_addr=None, word_addr=None, num_addr_bits=0):
if word_addr is not None:
retur... | 2,227 | 31.289855 | 85 | py |
randCache | randCache-main/Type-III/simulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:00:37 2021
@author: anirban
"""
import math
import shutil
from collections import OrderedDict
from cache import Cache
from bin_addr import BinaryAddress
from reference import Reference
from table import Table
REF_COL_NAMES = ('WordAddr', 'B... | 4,679 | 35.850394 | 163 | py |
randCache | randCache-main/Type-III/cache.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:53:27 2021
@author: anirban
"""
from bin_addr import BinaryAddress
from word_addr import WordAddress
from reference import ReferenceCacheStatus
import random
class Cache(dict):
partition = None
cal_index = None
def __init__(self, ... | 5,073 | 36.865672 | 132 | py |
randCache | randCache-main/Type-III/present.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 23:59:35 2021
@author: anirban
"""
class Present:
def __init__(self,key,rounds=32):
"""Create a PRESENT cipher object
key: the key as a 128-bit or 80-bit rawstring
rounds: the number o... | 5,630 | 34.415094 | 100 | py |
randCache | randCache-main/Type-III/reference.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 21:12:52 2021
@author: anirban
"""
from collections import OrderedDict
from enum import Enum
from bin_addr import BinaryAddress
from word_addr import WordAddress
class Reference(object):
def __init__(self, word_addr, num_addr_bits, n... | 1,499 | 27.301887 | 132 | py |
randCache | randCache-main/Type-I/main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 16:54:52 2021
@author: anirban
"""
import argparse
from simulator import Simulator
from collections import OrderedDict
import configparser
import random
def parse_cli_args():
parser = argparse.ArgumentParser()
parser.add_argument(
... | 2,865 | 24.81982 | 88 | py |
randCache | randCache-main/Type-I/word_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:57:06 2021
@author: anirban
"""
class WordAddress(int):
def get_consecutive_words(self, num_words_per_block):
offset = self % num_words_per_block
return [(self - offset + i) for i in range(num_words_per_block)] | 309 | 22.846154 | 72 | py |
randCache | randCache-main/Type-I/getHM.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 28 14:29:38 2021
@author: anirban
"""
import matplotlib.pyplot as plt
import numpy as np
with open("timing_nopart_norand.txt", 'r') as f1:
file = f1.readlines()
timing = list(filter(None, list(map(lambda each:each.strip("\n"), file))))
c... | 1,073 | 22.866667 | 74 | py |
randCache | randCache-main/Type-I/table.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 19 15:26:46 2021
@author: anirban
"""
class Table(object):
alignment_symbols = {
'left': '<',
'center': '^',
'right': '>'
}
def __init__(self, num_cols, width, alignment='left', title=No... | 1,235 | 27.744186 | 153 | py |
randCache | randCache-main/Type-I/bin_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:44:28 2021
@author: anirban
"""
import random
class BinaryAddress(str):
partition = None
def __new__(cls, bin_addr=None, word_addr=None, num_addr_bits=0):
if word_addr is not None:
return super().__new__(cls, bin(w... | 1,945 | 29.40625 | 85 | py |
randCache | randCache-main/Type-I/simulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:00:37 2021
@author: anirban
"""
import math
import shutil
from collections import OrderedDict
from cache import Cache
from bin_addr import BinaryAddress
from reference import Reference
from table import Table
REF_COL_NAMES = ('WordAddr', 'B... | 4,679 | 35.850394 | 163 | py |
randCache | randCache-main/Type-I/cache.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:53:27 2021
@author: anirban
"""
from bin_addr import BinaryAddress
from word_addr import WordAddress
from reference import ReferenceCacheStatus
import random
class Cache(dict):
partition = None
cal_index = None
def __init__(self, ... | 5,073 | 36.865672 | 132 | py |
randCache | randCache-main/Type-I/reference.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 21:12:52 2021
@author: anirban
"""
from collections import OrderedDict
from enum import Enum
from bin_addr import BinaryAddress
from word_addr import WordAddress
class Reference(object):
def __init__(self, word_addr, num_addr_bits, n... | 1,499 | 27.301887 | 132 | py |
randCache | randCache-main/Variant B (SAE)/main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 16:54:52 2021
@author: anirban
"""
import argparse
from simulator import Simulator
from collections import OrderedDict
import configparser
from ast import literal_eval
import random
def parse_cli_args():
parser = argparse.ArgumentParser()... | 2,869 | 24.855856 | 73 | py |
randCache | randCache-main/Variant B (SAE)/word_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:57:06 2021
@author: anirban
"""
class WordAddress(int):
def get_consecutive_words(self, num_words_per_block):
offset = self % num_words_per_block
return [(self - offset + i) for i in range(num_words_per_block)] | 309 | 22.846154 | 72 | py |
randCache | randCache-main/Variant B (SAE)/table.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 19 15:26:46 2021
@author: anirban
"""
class Table(object):
alignment_symbols = {
'left': '<',
'center': '^',
'right': '>'
}
def __init__(self, num_cols, width, alignment='left', title=No... | 1,235 | 27.744186 | 153 | py |
randCache | randCache-main/Variant B (SAE)/bin_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:44:28 2021
@author: anirban
"""
import random
from present import Present
class BinaryAddress(str):
def __new__(cls, bin_addr=None, word_addr=None, num_addr_bits=0):
if word_addr is not None:
return super().__new__(cls... | 2,351 | 31.666667 | 80 | py |
randCache | randCache-main/Variant B (SAE)/simulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:00:37 2021
@author: anirban
"""
import math
import shutil
from collections import OrderedDict
from cache import Cache
#from cache import DataStore
from bin_addr import BinaryAddress
from reference import Reference
from table import Table
... | 5,288 | 35.475862 | 311 | py |
randCache | randCache-main/Variant B (SAE)/filehandler.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 12 23:58:45 2021
@author: anirban
"""
class writeFile(object):
def write_address(plaintext, ciphertext):
with open('address_list.txt', 'a') as filehandle:
filehandle.writelines(str(plaintext))
filehandle.writeli... | 1,112 | 31.735294 | 71 | py |
randCache | randCache-main/Variant B (SAE)/cache.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:53:27 2021
@author: anirban
"""
from bin_addr import BinaryAddress
from word_addr import WordAddress
from reference import ReferenceCacheStatus
from reference import ReferenceEvictionStatus
from filehandler import writeFile
import random
impo... | 9,582 | 44.417062 | 238 | py |
randCache | randCache-main/Variant B (SAE)/present.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 23:59:35 2021
@author: anirban
"""
class Present:
def __init__(self,key,rounds=32):
"""Create a PRESENT cipher object
key: the key as a 128-bit or 80-bit rawstring
rounds: the number o... | 5,630 | 34.415094 | 100 | py |
randCache | randCache-main/Variant B (SAE)/plotter.py | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 30 21:19:51 2022
@author: anirban
"""
import matplotlib.pyplot as plt
import numpy as np
with open("outfile.txt", 'r') as f1:
file = f1.readlines()
X = []; Y = []
for line in file:
cache_size = line.strip("\n").split(":")[0]
throw... | 1,638 | 33.145833 | 82 | py |
randCache | randCache-main/Variant B (SAE)/rand_num_gen.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 1 12:16:04 2022
@author: anirban
"""
import random
import os
import math
outfile = "outfile.txt"
eviction_file = "eviction_status.txt"
base = 16777216
if os.path.exists(outfile):
os.remove(outfile)
with open("config.ini", "r") as f:
... | 1,426 | 23.186441 | 81 | py |
randCache | randCache-main/Variant B (SAE)/reference.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 21:12:52 2021
@author: anirban
"""
from collections import OrderedDict
from enum import Enum
from bin_addr import BinaryAddress
from word_addr import WordAddress
class Reference(object):
def __init__(self, word_addr, num_addr_bits, ... | 1,829 | 25.911765 | 132 | py |
randCache | randCache-main/mirage_bucket_and_balls/plotter.py | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 30 21:19:51 2022
@author: anirban
"""
import matplotlib.pyplot as plt
import numpy as np
with open("mirage_bucket_ball_data.txt", 'r') as f1:
file = f1.readlines()
timing = list(map(int, list(map(lambda each:each.strip("\n"), file))))
... | 815 | 23.727273 | 79 | py |
randCache | randCache-main/Variant A/main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 16:54:52 2021
@author: anirban
"""
import argparse
from simulator import Simulator
from collections import OrderedDict
import configparser
import random
def parse_cli_args():
parser = argparse.ArgumentParser()
parser.add_argument(
... | 2,737 | 24.830189 | 68 | py |
randCache | randCache-main/Variant A/word_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:57:06 2021
@author: anirban
"""
class WordAddress(int):
def get_consecutive_words(self, num_words_per_block):
offset = self % num_words_per_block
return [(self - offset + i) for i in range(num_words_per_block)] | 309 | 22.846154 | 72 | py |
randCache | randCache-main/Variant A/table.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 19 15:26:46 2021
@author: anirban
"""
class Table(object):
alignment_symbols = {
'left': '<',
'center': '^',
'right': '>'
}
def __init__(self, num_cols, width, alignment='left', title=No... | 1,235 | 27.744186 | 153 | py |
randCache | randCache-main/Variant A/bin_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:44:28 2021
@author: anirban
"""
import random
from present import Present
class BinaryAddress(str):
partition = None
def __new__(cls, bin_addr=None, word_addr=None, num_addr_bits=0):
if word_addr is not None:
retur... | 2,227 | 31.289855 | 85 | py |
randCache | randCache-main/Variant A/simulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:00:37 2021
@author: anirban
"""
import math
import shutil
from collections import OrderedDict
from cache import Cache
from bin_addr import BinaryAddress
from reference import Reference
from table import Table
REF_COL_NAMES = ('WordAddr', 'B... | 4,679 | 35.850394 | 163 | py |
randCache | randCache-main/Variant A/getHM_ppp.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 28 14:29:38 2021
@author: anirban
"""
import matplotlib.pyplot as plt
import numpy as np
with open("timing_ppp_algorithm_run_4.txt", 'r') as f1:
file = f1.readlines()
timing = list(filter(None, list(map(lambda each:each.strip("\n"), file)... | 1,118 | 23.866667 | 79 | py |
randCache | randCache-main/Variant A/getHM_new.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 28 14:29:38 2021
@author: anirban
"""
import matplotlib.pyplot as plt
import numpy as np
with open("timing_new_algorithm_run_4.txt", 'r') as f1:
file = f1.readlines()
timing = list(filter(None, list(map(lambda each:each.strip("\n"), file)... | 1,118 | 23.866667 | 79 | py |
randCache | randCache-main/Variant A/cache.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:53:27 2021
@author: anirban
"""
from bin_addr import BinaryAddress
from word_addr import WordAddress
from reference import ReferenceCacheStatus
import random
class Cache(dict):
partition = None
cal_index = None
def __init__(self, ... | 5,073 | 36.865672 | 132 | py |
randCache | randCache-main/Variant A/present.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 23:59:35 2021
@author: anirban
"""
class Present:
def __init__(self,key,rounds=32):
"""Create a PRESENT cipher object
key: the key as a 128-bit or 80-bit rawstring
rounds: the number o... | 5,630 | 34.415094 | 100 | py |
randCache | randCache-main/Variant A/reference.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 21:12:52 2021
@author: anirban
"""
from collections import OrderedDict
from enum import Enum
from bin_addr import BinaryAddress
from word_addr import WordAddress
class Reference(object):
def __init__(self, word_addr, num_addr_bits, n... | 1,499 | 27.301887 | 132 | py |
randCache | randCache-main/Variant B/main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 16:54:52 2021
@author: anirban
"""
import argparse
from simulator import Simulator
from collections import OrderedDict
import configparser
import random
from ast import literal_eval
def parse_cli_args():
parser = argparse.ArgumentParser()... | 2,931 | 25.414414 | 86 | py |
randCache | randCache-main/Variant B/word_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:57:06 2021
@author: anirban
"""
class WordAddress(int):
def get_consecutive_words(self, num_words_per_block):
offset = self % num_words_per_block
return [(self - offset + i) for i in range(num_words_per_block)] | 309 | 22.846154 | 72 | py |
randCache | randCache-main/Variant B/getHM.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 28 14:29:38 2021
@author: anirban
"""
import matplotlib.pyplot as plt
with open("timing_new_algorithm_run_4.txt", 'r') as f1:
file = f1.readlines()
timing = list(filter(None, list(map(lambda each:each.strip("\n"), file))))
count_hits = [0... | 1,096 | 24.511628 | 79 | py |
randCache | randCache-main/Variant B/table.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 19 15:26:46 2021
@author: anirban
"""
class Table(object):
alignment_symbols = {
'left': '<',
'center': '^',
'right': '>'
}
def __init__(self, num_cols, width, alignment='left', title=No... | 1,235 | 27.744186 | 153 | py |
randCache | randCache-main/Variant B/bin_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:44:28 2021
@author: anirban
"""
import random
from present import Present
class BinaryAddress(str):
def __new__(cls, bin_addr=None, word_addr=None, num_addr_bits=0):
if word_addr is not None:
return super().__new__(cls... | 2,353 | 30.810811 | 80 | py |
randCache | randCache-main/Variant B/simulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:00:37 2021
@author: anirban
"""
import math
import shutil
from collections import OrderedDict
from cache import Cache
from bin_addr import BinaryAddress
from reference import Reference
from table import Table
REF_COL_NAMES = ('WordAddr', ... | 5,014 | 36.706767 | 311 | py |
randCache | randCache-main/Variant B/cache.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:53:27 2021
@author: anirban
"""
from bin_addr import BinaryAddress
from word_addr import WordAddress
from reference import ReferenceCacheStatus
from reference import ReferenceEvictionStatus
import random
class Cache(dict):
partition = Non... | 6,699 | 40.875 | 257 | py |
randCache | randCache-main/Variant B/present.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 23:59:35 2021
@author: anirban
"""
class Present:
def __init__(self,key,rounds=32):
"""Create a PRESENT cipher object
key: the key as a 128-bit or 80-bit rawstring
rounds: the number o... | 5,630 | 34.415094 | 100 | py |
randCache | randCache-main/Variant B/reference.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 21:12:52 2021
@author: anirban
"""
from collections import OrderedDict
from enum import Enum
from bin_addr import BinaryAddress
from word_addr import WordAddress
class Reference(object):
def __init__(self, word_addr, num_addr_bits, ... | 1,851 | 25.084507 | 132 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 16:54:52 2021
@author: anirban
"""
import argparse
from simulator import Simulator
from collections import OrderedDict
import configparser
from ast import literal_eval
import random
import os
def parse_cli_args():
parser = argparse.Argume... | 3,156 | 25.090909 | 73 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/word_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:57:06 2021
@author: anirban
"""
class WordAddress(int):
def get_consecutive_words(self, num_words_per_block):
offset = self % num_words_per_block
return [(self - offset + i) for i in range(num_words_per_block)] | 309 | 22.846154 | 72 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/table.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 19 15:26:46 2021
@author: anirban
"""
class Table(object):
alignment_symbols = {
'left': '<',
'center': '^',
'right': '>'
}
def __init__(self, num_cols, width, alignment='left', title=No... | 1,235 | 27.744186 | 153 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/bin_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:44:28 2021
@author: anirban
"""
import random
from present import Present
class BinaryAddress(str):
def __new__(cls, bin_addr=None, word_addr=None, num_addr_bits=0):
if word_addr is not None:
return super().__new__(cls... | 2,351 | 31.666667 | 80 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/simulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:00:37 2021
@author: anirban
"""
import math
import shutil
from collections import OrderedDict
from cache import Cache
from bin_addr import BinaryAddress
from reference import Reference
from table import Table
REF_COL_NAMES = ('WordAddr', ... | 5,607 | 39.345324 | 311 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/filehandler.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 12 23:58:45 2021
@author: anirban
"""
class writeFile(object):
def write_address(plaintext, ciphertext):
with open('address_list.txt', 'a') as filehandle:
filehandle.writelines(str(plaintext))
filehandle.writeli... | 1,112 | 31.735294 | 71 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/cache.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:53:27 2021
@author: anirban
"""
from bin_addr import BinaryAddress
from word_addr import WordAddress
from reference import ReferenceCacheStatus
from reference import ReferenceEvictionStatus
from filehandler import writeFile
import random
impo... | 12,603 | 55.267857 | 238 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/present.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 23:59:35 2021
@author: anirban
"""
class Present:
def __init__(self,key,rounds=32):
"""Create a PRESENT cipher object
key: the key as a 128-bit or 80-bit rawstring
rounds: the number o... | 5,630 | 34.415094 | 100 | py |
randCache | randCache-main/Variant_B_SAE_rptr_invalidation/reference.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 21:12:52 2021
@author: anirban
"""
from collections import OrderedDict
from enum import Enum
from bin_addr import BinaryAddress
from word_addr import WordAddress
class Reference(object):
def __init__(self, word_addr, num_addr_bits, ... | 1,829 | 25.911765 | 132 | py |
randCache | randCache-main/Type-II/main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 16:54:52 2021
@author: anirban
"""
import argparse
from simulator import Simulator
from collections import OrderedDict
import configparser
import random
def parse_cli_args():
parser = argparse.ArgumentParser()
parser.add_argument(
... | 2,780 | 24.990654 | 88 | py |
randCache | randCache-main/Type-II/word_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:57:06 2021
@author: anirban
"""
class WordAddress(int):
def get_consecutive_words(self, num_words_per_block):
offset = self % num_words_per_block
return [(self - offset + i) for i in range(num_words_per_block)] | 309 | 22.846154 | 72 | py |
randCache | randCache-main/Type-II/getHM.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 28 14:29:38 2021
@author: anirban
"""
import matplotlib.pyplot as plt
import numpy as np
with open("timing_new_part_no_rand.txt", 'r') as f1:
file = f1.readlines()
timing = list(filter(None, list(map(lambda each:each.strip("\n"), file))))... | 1,082 | 23.066667 | 74 | py |
randCache | randCache-main/Type-II/table.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 19 15:26:46 2021
@author: anirban
"""
class Table(object):
alignment_symbols = {
'left': '<',
'center': '^',
'right': '>'
}
def __init__(self, num_cols, width, alignment='left', title=No... | 1,235 | 27.744186 | 153 | py |
randCache | randCache-main/Type-II/bin_addr.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 19:44:28 2021
@author: anirban
"""
import random
from present import Present
class BinaryAddress(str):
partition = None
def __new__(cls, bin_addr=None, word_addr=None, num_addr_bits=0):
if word_addr is not None:
retur... | 1,973 | 29.369231 | 85 | py |
randCache | randCache-main/Type-II/simulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:00:37 2021
@author: anirban
"""
import math
import shutil
from collections import OrderedDict
from cache import Cache
from bin_addr import BinaryAddress
from reference import Reference
from table import Table
REF_COL_NAMES = ('WordAddr', 'B... | 4,696 | 35.695313 | 163 | py |
randCache | randCache-main/Type-II/cache.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 17:53:27 2021
@author: anirban
"""
from bin_addr import BinaryAddress
from word_addr import WordAddress
from reference import ReferenceCacheStatus
import random
class Cache(dict):
partition = None
cal_index = None
def __init__(self, ... | 5,073 | 36.865672 | 132 | py |
randCache | randCache-main/Type-II/present.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 23:59:35 2021
@author: anirban
"""
class Present:
def __init__(self,key,rounds=32):
"""Create a PRESENT cipher object
key: the key as a 128-bit or 80-bit rawstring
rounds: the number o... | 5,630 | 34.415094 | 100 | py |
randCache | randCache-main/Type-II/reference.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 18 21:12:52 2021
@author: anirban
"""
from collections import OrderedDict
from enum import Enum
from bin_addr import BinaryAddress
from word_addr import WordAddress
class Reference(object):
def __init__(self, word_addr, num_addr_bits, n... | 1,499 | 27.301887 | 132 | py |
FPI | FPI-master/readData.py | import tensorflow as tf
import os
import numpy as np
import nibabel as nib
class data_frame:
"""
A single character class.
"""
def __init__(self, batch_dim, primary_axis):
#this helps keep data handling consistent
self.batch_dim = batch_dim
self.primary_axis = primary_axis
... | 5,318 | 35.9375 | 135 | py |
FPI | FPI-master/self_sup_task.py | import numpy as np
import tensorflow as tf
to_categorical = tf.keras.utils.to_categorical
'''
def to_categorical(y,num_classes):
onehot = np.zeros((len(y), num_classes))
onehot[np.arange(len(y)),y] = 1
return onehot
'''
def create_interp_mask(ima,patch_center,patch_width,patch_interp):
dims=np.shape(i... | 2,950 | 34.987805 | 119 | py |
FPI | FPI-master/fpiSubmit.py | import numpy as np
import itertools
import copy
from datetime import datetime
import os
import pickle
from sklearn.metrics import average_precision_score
import tensorflow as tf
import readData
import self_sup_task
from models.wide_residual_network import create_wide_residual_network_selfsup
from scipy.signal import ... | 9,435 | 34.078067 | 122 | py |
FPI | FPI-master/utils.py | import os
import numpy as np
from sklearn.metrics import roc_curve, precision_recall_curve, auc, average_precision_score
def save_roc_pr_curve_data(scores, labels, file_path=None):
scores = scores.flatten()
labels = labels.flatten()
scores_pos = scores[labels == 1]
scores_neg = scores[labels != 1]
... | 1,690 | 32.82 | 104 | py |
FPI | FPI-master/train_simple.py | import os
import nibabel as nib
import numpy as np
import fpiSubmit
def train_folder(input_dir,output_dir,mode,data):
fpiSubmit.train_folder(input_dir,output_dir,mode,data)
return
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input", ... | 825 | 24.030303 | 118 | py |
FPI | FPI-master/evalresults.py | import json
import os
import random
import traceback
import nibabel as nib
import numpy as np
from sklearn import metrics
class InvalidPredictionException(Exception):
pass
class CouldNotProcessException(Exception):
pass
def process_file_pixelwise(pred_path, label_path):
pred_list, label_list = [], [... | 6,387 | 28.437788 | 115 | py |
FPI | FPI-master/var_ops.py | """
Tools for manipulating sets of variables.
"""
import numpy as np
from keras import backend as K
import tensorflow as tf
import copy
def interpolate_vars(old_vars, new_vars, epsilon):
"""
Interpolate between two sequences of variables.
"""
return add_vars(old_vars, scale_vars(subtract_vars(new_vars... | 1,366 | 23.410714 | 143 | py |
FPI | FPI-master/pred_simple.py | import os
import nibabel as nib
import numpy as np
import fpiSubmit
def predict_folder(input_dir,output_dir,mode,data):
fpiSubmit.predict_folder(input_dir,output_dir,mode,data)
return
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--inpu... | 831 | 24.212121 | 118 | py |
FPI | FPI-master/eval_simple.py | import os
import nibabel as nib
import numpy as np
import fpiSubmit
import evalresults
def eval_folder(output_dir,label_dir,mode,data):
evalresults.eval_dir(output_dir,label_dir,mode=mode,save_file=os.path.join(output_dir,data+"_"+mode+"_score.txt"))
return
if __name__ == "__main__":
import argparse
... | 902 | 25.558824 | 118 | py |
FPI | FPI-master/models/wide_residual_network.py | #using code from https://github.com/asmith26/wide_resnets_keras.git
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import os
import logging
logging.basicConfig(level=logging.DEBUG)
import sys
#sys.stdout = sys.stderr
# Prevent ... | 12,583 | 43.624113 | 164 | py |
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