diff options
Diffstat (limited to 'epare/simulate.ipynb')
| -rw-r--r-- | epare/simulate.ipynb | 17 |
1 files changed, 10 insertions, 7 deletions
diff --git a/epare/simulate.ipynb b/epare/simulate.ipynb index 4a0a07a..89a5533 100644 --- a/epare/simulate.ipynb +++ b/epare/simulate.ipynb @@ -89,10 +89,11 @@ "def get_small_scalar_multiples(mult: MultIdent,\n", " params: DomainParameters,\n", " bits: int,\n", - " samples: int = 1000,\n", + " samples: int = 100,\n", " use_init: bool = True,\n", " use_multiply: bool = True,\n", - " seed: bytes | None = None) -> MultResults:\n", + " seed: bytes | None = None,\n", + " kind: str = \"precomp+necessary\") -> MultResults:\n", " from pyecsca.sca.re.rpa import multiples_computed\n", " import random\n", " \n", @@ -110,7 +111,7 @@ "\n", " for scalar in scalars:\n", " # Use a list for less memory usage.\n", - " results.append(list(multiples_computed(scalar, params, mult.klass, mult.partial, use_init, use_multiply)))\n", + " results.append(list(multiples_computed(scalar, params, mult.klass, mult.partial, use_init, use_multiply, kind=kind)))\n", " return MultResults(results, samples)" ] }, @@ -134,7 +135,7 @@ "params = get_params(category, curve, \"projective\")\n", "num_workers = 20\n", "bits = params.order.bit_length()\n", - "samples = 1000\n", + "samples = 100\n", "selected_mults = all_mults" ] }, @@ -166,7 +167,7 @@ " for mult, future in tqdm(pool.as_completed(), desc=\"Computing small scalar distributions.\", total=len(pool.tasks)):\n", " print(f\"Got {mult}.\")\n", " if error := future.exception():\n", - " print(error)\n", + " print(\"Error!\", error)\n", " continue\n", " res = future.result()\n", " if mult not in multiples_mults:\n", @@ -188,7 +189,9 @@ "metadata": {}, "source": [ "### Load\n", - "Beware, the following load with try to load all chunks into memory, that will be very large." + "**Beware**, the following load with try to load all chunks into memory, that will be very large.\n", + "\n", + "You probably dont want to run this." ] }, { @@ -212,7 +215,7 @@ { "cell_type": "code", "execution_count": null, - "id": "264385f2-0f58-4f18-bfc2-61f2c5b6e5c8", + "id": "11b447f2-71ab-417e-a856-1724788cfc91", "metadata": {}, "outputs": [], "source": [] |