repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_memo_program.py | test_memo | assert | variable | 9 | from solana.keypair import Keypair
from spl.memo.constants import MEMO_PROGRAM_ID
from spl.memo.instructions import MemoParams, create_memo, decode_create_memo
def test_memo():
"""Test creating a memo instruction."""
params = MemoParams(signer=Keypair().public_key, message=b"test", program_id=MEMO_PROGRAM_ID)
... | params | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_set_operations | assert | numeric_literal | 15 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_set_operations() -> None:
"""Tests that a publickey is now hashable with the appropriate set operations."""
public_key_primary = PublicKey("11111111111111111111111111111111")
public_key_secondary = PublicKey("Ci... | 2 | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_equal_2 | assert | variable | 46 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_equal_2():
"""Test public key equality (II)."""
key_one = PublicKey(
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
... | key_two | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_equals | assert | variable | 46 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_equals():
"""Test public key equality."""
array_key = PublicKey(
[
3,
0,
0,
0,
0,
0,
0,
0,
0,
... | base58_key | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_invalid_pubkeys | pytest.raises | variable | 9 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_invalid_pubkeys():
"""Test invalid public keys."""
with pytest.raises( | ValueError) | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_create_program_address | assert | variable | 26 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_create_program_address():
"""Test create program address."""
program_id = PublicKey("BPFLoader1111111111111111111111111111111111")
program_address = PublicKey.create_program_address([bytes(), bytes([1])], progra... | program_address | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_to_bytes | assert | complex_expr | 10 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_to_bytes():
"""Test public key to byte form."""
key = PublicKey("CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3")
assert len(bytes(key)) == | PublicKey.LENGTH | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_set_operations | assert | func_call | 13 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_set_operations() -> None:
"""Tests that a publickey is now hashable with the appropriate set operations."""
public_key_primary = PublicKey("11111111111111111111111111111111")
public_key_secondary = PublicKey("Ci... | public_key_secondary.__hash__() | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_set_operations | assert | func_call | 14 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_set_operations() -> None:
"""Tests that a publickey is now hashable with the appropriate set operations."""
public_key_primary = PublicKey("11111111111111111111111111111111")
public_key_secondary = PublicKey("Ci... | public_key_duplicate.__hash__() | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_to_base58 | assert | string_literal | 14 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_to_base58():
"""Test public key to base58."""
key = PublicKey("CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3")
assert key.to_base58() == b"CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3"
assert str(key) == "CiDwV... | "1111111111111111111111111111BukQL" | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_to_base58 | assert | string_literal | 16 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_to_base58():
"""Test public key to base58."""
key = PublicKey("CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3")
assert key.to_base58() == b"CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3"
assert str(key) == "CiDwV... | b"11111111111111111111111111111111" | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_to_base58 | assert | string_literal | 13 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_to_base58():
"""Test public key to base58."""
key = PublicKey("CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3")
assert key.to_base58() == b"CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3"
assert str(key) == "CiDwV... | b"1111111111111111111111111111BukQL" | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_to_base58 | assert | string_literal | 11 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_to_base58():
"""Test public key to base58."""
key = PublicKey("CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3")
assert key.to_base58() == b"CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3"
assert str(key) == | "CiDwVBFgWV9E5MvXWoLgnEgn2hK7rJikbvfWavzAQz3" | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_publickey.py | test_create_program_address | assert | func_call | 11 | import pytest
from solana.publickey import PublicKey
from solana.utils import helpers
def test_create_program_address():
"""Test create program address."""
program_id = PublicKey("BPFLoader1111111111111111111111111111111111")
program_address = PublicKey.create_program_address([bytes(), bytes([1])], progra... | PublicKey("3gF2KMe9KiC6FNVBmfg9i267aMPvK37FewCip4eGBFcT") | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_security_txt.py | test_parse_wrong_data_type | pytest.raises | variable | 9 | import pytest
from solana.utils.security_txt import NoSecurityTxtFoundError, parse_security_txt
def test_parse_wrong_data_type():
"""Test parsing security txt string instead of bytes."""
wrong_type = "test"
with pytest.raises( | TypeError) | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_security_txt.py | test_parse_invalid_security_text | pytest.raises | variable | 9 | import pytest
from solana.utils.security_txt import NoSecurityTxtFoundError, parse_security_txt
def test_parse_invalid_security_text():
"""Test parsing security txt with invalid bytes."""
invalid_data = b"test"
with pytest.raises( | NoSecurityTxtFoundError) | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_spl_token_instructions.py | test_initialize_account | assert | variable | 16 | import spl.token.instructions as spl_token
from solana.publickey import PublicKey
from spl.token.constants import TOKEN_PROGRAM_ID
def test_initialize_account(stubbed_sender):
"""Test initialize account."""
new_account, token_mint = PublicKey(0), PublicKey(1)
params = spl_token.InitializeAccountParams(
... | params | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_spl_token_instructions.py | test_transfer | assert | variable | 27 | import spl.token.instructions as spl_token
from solana.publickey import PublicKey
from spl.token.constants import TOKEN_PROGRAM_ID
def test_transfer(stubbed_receiver, stubbed_sender):
"""Test transfer."""
params = spl_token.TransferParams(
program_id=TOKEN_PROGRAM_ID,
source=stubbed_sender.publ... | multisig_params | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_system_program.py | test_create_account | assert | variable | 18 | import base64
import solana.system_program as sp
import solana.transaction as txlib
from solana.keypair import Keypair
from solana.publickey import PublicKey
def test_create_account():
"""Test creating a transaction for create account."""
params = sp.CreateAccountParams(
from_pubkey=Keypair().public_k... | params | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_system_program.py | test_create_nonce_account | assert | variable | 180 | import base64
import solana.system_program as sp
import solana.transaction as txlib
from solana.keypair import Keypair
from solana.publickey import PublicKey
def test_create_nonce_account():
from_keypair = Keypair.from_secret_key(
bytes(
[
134,
123,
... | js_expected_txn | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_sign_partial | assert | numeric_literal | 46 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | 3 | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_serialize_unsigned_transaction | assert | numeric_literal | 50 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | 1 | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_to_solders | assert | variable | 44 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | txn | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_recent_blockhash_setter | assert | variable | 36 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | tx1 | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_transfer_signatures | assert | variable | 41 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | expected | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_to_solders | assert | variable | 43 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | solders_txn | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_sign_partial | assert | variable | 55 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | expected_tx | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_wire_format_and_desrialize | assert | variable | 44 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | expected_txn | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_populate | assert | func_call | 47 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | len(signatures) | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_serialize_unsigned_transaction | pytest.raises | variable | 39 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | AttributeError) | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_sort_account_metas | assert | variable | 319 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | js_msg_b64_check | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_sort_account_metas | assert | complex_expr | 325 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | sorted_receivers[0] | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_sort_account_metas | assert | complex_expr | 326 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | sorted_receivers[1] | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_sort_account_metas | assert | complex_expr | 327 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | sorted_receivers[2] | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_populate | assert | complex_expr | 48 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | msg.recent_blockhash | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_transaction.py | test_sort_account_metas | assert | complex_expr | 322 | from base64 import b64decode, b64encode
import pytest
import solders.system_program as ssp
from solders.hash import Hash
from solders.message import Message as SoldersMessage
from solders.pubkey import Pubkey
from solders.signature import Signature
from solders.transaction import Transaction as SoldersTx
import solan... | fee_payer.public_key | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
michaelhly/solana-py | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | train | train | tests/unit/test_vote_program.py | test_withdraw_from_vote_account | assert | variable | 112 | import base64
import solana.transaction as txlib
import solana.vote_program as vp
from solana.keypair import Keypair
from solana.publickey import PublicKey
def test_withdraw_from_vote_account():
withdrawer_keypair = Keypair.from_secret_key(
bytes(
[
134,
123,
... | js_wire_msg | 33d524545a51c10550d19e2ccad94f225b27439e | 80 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | src/causica/lightning/data_modules/variable_spec_data.py | prepare_data | assert | variable | 134 | import os
from collections import defaultdict
from functools import partial
from typing import Any, Iterable, Optional, Union
import torch
from tensordict import TensorDict, TensorDictBase
from torch.utils.data import DataLoader
from causica.datasets.causica_dataset_format import CAUSICA_DATASETS_PATH, DataEnum, Vari... | test_keys | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | src/causica/lightning/modules/deci_module.py | test_step_observational | assert | numeric_literal | 227 | import logging
from typing import Any, Mapping, Optional, Sequence, Union
import fsspec
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.utilities.types import STEP_OUTPUT
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import CounterfactualWithEffec... | 1 | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | src/causica/lightning/modules/deci_module.py | setup | assert | none_literal | 165 | import logging
from typing import Any, Mapping, Optional, Sequence, Union
import fsspec
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.utilities.types import STEP_OUTPUT
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import CounterfactualWithEffec... | None | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | src/causica/lightning/modules/deci_module.py | configure_optimizers | assert | variable | 212 | import logging
from typing import Any, Mapping, Optional, Sequence, Union
import fsspec
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.utilities.types import STEP_OUTPUT
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import CounterfactualWithEffec... | check_modules | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/data_generation/test_synthetic_dataset.py | test_mixed_type_causal_dataset | assert | numeric_literal | 68 | import torch
import torch.distributions as td
from torch.utils.data import DataLoader
from causica.data_generation.samplers.functional_relationships_sampler import LinearRelationshipsSampler
from causica.data_generation.samplers.noise_dist_sampler import (
BernoulliNoiseModuleSampler,
CategoricalNoiseModuleSam... | 1 | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/data_generation/test_synthetic_dataset.py | test_causal_dataset_dataloader | assert | numeric_literal | 55 | import torch
import torch.distributions as td
from torch.utils.data import DataLoader
from causica.data_generation.samplers.functional_relationships_sampler import LinearRelationshipsSampler
from causica.data_generation.samplers.noise_dist_sampler import (
BernoulliNoiseModuleSampler,
CategoricalNoiseModuleSam... | 2 | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/data_generation/test_synthetic_dataset.py | test_causal_dataset_dataloader | assert | none_literal | 69 | import torch
import torch.distributions as td
from torch.utils.data import DataLoader
from causica.data_generation.samplers.functional_relationships_sampler import LinearRelationshipsSampler
from causica.data_generation.samplers.noise_dist_sampler import (
BernoulliNoiseModuleSampler,
CategoricalNoiseModuleSam... | None | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/data_generation/test_synthetic_dataset.py | test_mixed_type_causal_dataset | assert | func_call | 58 | import torch
import torch.distributions as td
from torch.utils.data import DataLoader
from causica.data_generation.samplers.functional_relationships_sampler import LinearRelationshipsSampler
from causica.data_generation.samplers.noise_dist_sampler import (
BernoulliNoiseModuleSampler,
CategoricalNoiseModuleSam... | torch.Size([5]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/data_generation/test_synthetic_dataset.py | test_mixed_type_causal_dataset | assert | func_call | 60 | import torch
import torch.distributions as td
from torch.utils.data import DataLoader
from causica.data_generation.samplers.functional_relationships_sampler import LinearRelationshipsSampler
from causica.data_generation.samplers.noise_dist_sampler import (
BernoulliNoiseModuleSampler,
CategoricalNoiseModuleSam... | torch.Size([5, 1]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/data_generation/test_synthetic_dataset.py | test_mixed_type_causal_dataset | assert | func_call | 61 | import torch
import torch.distributions as td
from torch.utils.data import DataLoader
from causica.data_generation.samplers.functional_relationships_sampler import LinearRelationshipsSampler
from causica.data_generation.samplers.noise_dist_sampler import (
BernoulliNoiseModuleSampler,
CategoricalNoiseModuleSam... | torch.Size([5, 5]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/data_generation/test_synthetic_dataset.py | test_causal_dataset_dataloader | assert | func_call | 51 | import torch
import torch.distributions as td
from torch.utils.data import DataLoader
from causica.data_generation.samplers.functional_relationships_sampler import LinearRelationshipsSampler
from causica.data_generation.samplers.noise_dist_sampler import (
BernoulliNoiseModuleSampler,
CategoricalNoiseModuleSam... | torch.Size([2, 5]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_with_groups | assert | variable | 30 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_with_groups():
"""Test a dat... | group_name | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_categorical | assert | collection | 23 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_categorical():
"""Test the p... | (batch_size, 1) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_categorical | assert | collection | 28 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_categorical():
"""Test the p... | (batch_size, 2) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_categorical | assert | collection | 32 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_categorical():
"""Test the p... | (batch_size, 3) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_without_groups | assert_* | complex_expr | 36 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_without_groups():
"""Test da... | data[:, i : i + 1]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_with_groups | assert_* | complex_expr | 42 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_with_groups():
"""Test a dat... | data[:, start:end]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_without_groups | assert_* | complex_expr | 33 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_without_groups():
"""Test da... | dataset_from_np[key]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_datasets.py | test_dataset_without_groups | assert | complex_expr | 22 | import numpy as np
import pandas as pd
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import Variable, tensordict_from_variables_metadata
from causica.datasets.tensordict_utils import convert_one_hot, tensordict_from_pandas
def test_dataset_without_groups():
"""Test da... | dataset_from_np[key].shape | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_expand_tensordict_groups | assert | collection | 31 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | (2, 1) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_expand_tensordict_groups | assert | collection | 34 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | (2, 4) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_unbind_values_different_dims | pytest.raises | variable | 54 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | IndexError) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_unbind_values_different_dims | assert | func_call | 20 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | torch.Size([]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_unbind_values | assert | variable | 32 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | expected_shapes | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_unbind_values_different_dims | assert | func_call | 28 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | torch.Size([1]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_unbind_values | assert | complex_expr | 22 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | unbound_negative.batch_size | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_expand_tensordict_groups | assert | collection | 28 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | {"var1", "var2", "var3", "categorical"} | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/datasets/test_tensordict_utils.py | test_unbound_items | assert | collection | 19 | import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(in... | { ("a", "0"): torch.tensor([[3]]), ("a", "1"): torch.tensor([[4]]), } | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_adjacency_distributions.py | test_support | pytest.raises | variable | 52 | from typing import Type
import numpy as np
import pytest
import torch
from causica.distributions.adjacency import (
AdjacencyDistribution,
ConstrainedAdjacencyDistribution,
ENCOAdjacencyDistribution,
ThreeWayAdjacencyDistribution,
)
def _distribution_factory(
dist_class: Type[AdjacencyDistributio... | ValueError) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_adjacency_distributions.py | test_log_prob | assert | complex_expr | 48 | from typing import Type
import numpy as np
import pytest
import torch
from causica.distributions.adjacency import (
AdjacencyDistribution,
ConstrainedAdjacencyDistribution,
ENCOAdjacencyDistribution,
ThreeWayAdjacencyDistribution,
)
def _distribution_factory(
dist_class: Type[AdjacencyDistributio... | sample_shape + batch_shape | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_adjacency_distributions.py | test_mean | assert | func_call | 46 | from typing import Type
import numpy as np
import pytest
import torch
from causica.distributions.adjacency import (
AdjacencyDistribution,
ConstrainedAdjacencyDistribution,
ENCOAdjacencyDistribution,
ThreeWayAdjacencyDistribution,
)
def _distribution_factory(
dist_class: Type[AdjacencyDistributio... | batch_shape + (num_nodes, num_nodes) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_adjacency_distributions.py | test_sample_shape | assert | func_call | 53 | from typing import Type
import numpy as np
import pytest
import torch
from causica.distributions.adjacency import (
AdjacencyDistribution,
ConstrainedAdjacencyDistribution,
ENCOAdjacencyDistribution,
ThreeWayAdjacencyDistribution,
)
def _distribution_factory(
dist_class: Type[AdjacencyDistributio... | sample_shape + batch_shape + (num_nodes, num_nodes) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_extreme_sample | assert_* | func_call | 12 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_extreme_sample():
"""Test that extreme probabilities give rise to expected graphs"""
n = 6
p = torch.tensor(1.0)
sample = ErdosRenyiDAGDistribution(num_nodes=n, probs=p).sample()
torch.testing.... | n * (n - 1) / 2.0) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_num_deges | assert | func_call | 11 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_num_deges():
num_edges = 16
samples = ErdosRenyiDAGDistribution(num_nodes=8, num_edges=torch.tensor(num_edges)).sample(torch.Size([100]))
assert samples.shape == | torch.Size([100, 8, 8]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_num_deges | assert | func_call | 18 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_num_deges():
num_edges = 16
samples = ErdosRenyiDAGDistribution(num_nodes=8, num_edges=torch.tensor(num_edges)).sample(torch.Size([100]))
assert samples.shape == torch.Size([100, 8, 8])
torch.testi... | torch.Size([100, 2, 2]) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_mode | assert_* | func_call | 15 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_mode():
"""Test the mode either returns a lower triangle or a matrix of zeros."""
p = torch.tensor(0.6)
mode = ErdosRenyiDAGDistribution(num_nodes=5, probs=p).mode
torch.testing.assert_close(mode, t... | torch.zeros_like(mode)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_extreme_sample | assert_* | func_call | 16 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_extreme_sample():
"""Test that extreme probabilities give rise to expected graphs"""
n = 6
p = torch.tensor(1.0)
sample = ErdosRenyiDAGDistribution(num_nodes=n, probs=p).sample()
torch.testing.a... | torch.zeros_like(sample)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_num_deges | assert_* | func_call | 19 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_num_deges():
num_edges = 16
samples = ErdosRenyiDAGDistribution(num_nodes=8, num_edges=torch.tensor(num_edges)).sample(torch.Size([100]))
assert samples.shape == torch.Size([100, 8, 8])
torch.testi... | torch.tensor(1, dtype=torch.float32)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_samples_dags | assert | func_call | 14 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_samples_dags():
"""Test that all samples are DAGs"""
p = torch.tensor([[0.7, 0.4]])
n = 5
sample_shape = torch.Size([3, 4])
dist = ErdosRenyiDAGDistribution(num_nodes=n, probs=p)
samples = d... | torch.Size(sample_shape + p.shape + (n, n)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_num_deges | assert_* | func_call | 12 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_num_deges():
num_edges = 16
samples = ErdosRenyiDAGDistribution(num_nodes=8, num_edges=torch.tensor(num_edges)).sample(torch.Size([100]))
assert samples.shape == torch.Size([100, 8, 8])
torch.test... | torch.tensor(num_edges, dtype=torch.float32)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_directed_acyclic.py | test_mode | assert_* | func_call | 11 | import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_mode():
"""Test the mode either returns a lower triangle or a matrix of zeros."""
p = torch.tensor(0.6)
mode = ErdosRenyiDAGDistribution(num_nodes=5, probs=p).mode
torch.testing.assert_close(mode, | torch.tril(torch.ones_like(mode), diagonal=-1)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco_backprop | assert | numeric_literal | 41 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco_backprop():
"""Test ENCO backpropagation works."""
logits_exist = torch.nn.Parameter(torch.zeros((2, 2)), requires_grad=True)
logit... | 1e-3 | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco | assert_* | complex_expr | 15 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco():
"""Test ENCO methods are correct for a known distribution."""
probs_exist = torch.tensor([[0.0, 0.3], [0.8, 0.0]])
probs_orient ... | dist.mean) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco | assert_* | complex_expr | 16 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco():
"""Test ENCO methods are correct for a known distribution."""
probs_exist = torch.tensor([[0.0, 0.3], [0.8, 0.0]])
probs_orient ... | dist.mode) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco_entropy | assert_* | func_call | 17 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco_entropy():
"""Test ENCO entropy is correct for a known distribution."""
eps = 1e-7
probs_exist = torch.tensor([[0.0, 1.0 - eps], [1... | 2 * np.log(2)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco_backprop | assert | complex_expr | 30 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco_backprop():
"""Test ENCO backpropagation works."""
logits_exist = torch.nn.Parameter(torch.zeros((2, 2)), requires_grad=True)
logit... | logits_exist_np[1, 0] | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco_backprop | assert | complex_expr | 31 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco_backprop():
"""Test ENCO backpropagation works."""
logits_exist = torch.nn.Parameter(torch.zeros((2, 2)), requires_grad=True)
logit... | logits_exist_np[0, 1] | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco_backprop | assert_* | func_call | 28 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco_backprop():
"""Test ENCO backpropagation works."""
logits_exist = torch.nn.Parameter(torch.zeros((2, 2)), requires_grad=True)
logit... | np.diagonal(logits_exist_np)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco_entropy | assert_* | func_call | 19 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco_entropy():
"""Test ENCO entropy is correct for a known distribution."""
eps = 1e-7
probs_exist = torch.tensor([[0.0, 1.0 - eps], [1... | np.zeros_like(logits_exist.detach().numpy())) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco_entropy | assert_* | func_call | 20 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco_entropy():
"""Test ENCO entropy is correct for a known distribution."""
eps = 1e-7
probs_exist = torch.tensor([[0.0, 1.0 - eps], [1... | np.zeros_like(logits_orient.detach().numpy())) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_enco.py | test_enco | assert_* | func_call | 18 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions.adjacency.enco import ENCOAdjacencyDistribution
def test_enco():
"""Test ENCO methods are correct for a known distribution."""
probs_exist = torch.tensor([[0.0, 0.3], [0.8, 0.0]])
probs_orient ... | np.array([np.log(0.09 * 0.44), np.log(0.91 * 0.56), np.log(0.91 * 0.44)])) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_expert_graph_dataclass | assert | numeric_literal | 16 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_expert_graph_dataclass():
mask = torch.Tensor([[0, 1, 1], [0, 0, 0], [0, 0, 0]])
dag = torch.Tensor([[0, 0, 1], [0, 0, 0], [0, 0, 0]])
confidence = 0.8
scale = 10
e... | 3 | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_get_sparsity_term | assert | numeric_literal | 12 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_get_sparsity_term():
gibbs_dag_prior = GibbsDAGPrior(num_nodes=2, sparsity_lambda=torch.tensor(1))
dag = torch.Tensor([[0, 0], [0, 0]])
assert gibbs_dag_prior.get_sparsity... | 0 | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_expert_graph_dataclass | assert | numeric_literal | 22 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_expert_graph_dataclass():
mask = torch.Tensor([[0, 1, 1], [0, 0, 0], [0, 0, 0]])
dag = torch.Tensor([[0, 0, 1], [0, 0, 0], [0, 0, 0]])
confidence = 0.8
scale = 10
e... | 0.8 | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_get_expert_graph_term | assert | func_call | 24 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_get_expert_graph_term():
mask = torch.Tensor([[0, 0, 0], [0, 0, 0], [0, 0, 0]])
dag = torch.Tensor([[0, 0, 1], [0, 0, 0], [0, 0, 0]])
confidence = 0.8
scale = 10
ex... | torch.tensor(0) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_log_prob | pytest.raises | variable | 12 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_log_prob():
gibbs_dag_prior = GibbsDAGPrior(num_nodes=123, sparsity_lambda=torch.tensor(1))
A = torch.Tensor([[0, 0, 1], [0, 0, 1], [0, 0, 0]])
with pytest.raises( | AssertionError) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_get_expert_graph_term | assert_* | func_call | 35 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_get_expert_graph_term():
mask = torch.Tensor([[0, 0, 0], [0, 0, 0], [0, 0, 0]])
dag = torch.Tensor([[0, 0, 1], [0, 0, 0], [0, 0, 0]])
confidence = 0.8
scale = 10
ex... | torch.tensor(0.2)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_log_prob | assert_* | func_call | 19 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_log_prob():
gibbs_dag_prior = GibbsDAGPrior(num_nodes=123, sparsity_lambda=torch.tensor(1))
A = torch.Tensor([[0, 0, 1], [0, 0, 1], [0, 0, 0]])
with pytest.raises(Assertion... | torch.tensor(-3.0)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_log_prob | assert_* | func_call | 26 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_log_prob():
gibbs_dag_prior = GibbsDAGPrior(num_nodes=123, sparsity_lambda=torch.tensor(1))
A = torch.Tensor([[0, 0, 1], [0, 0, 1], [0, 0, 0]])
with pytest.raises(Assertion... | torch.tensor(-1.0)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_gibbs_dag_prior.py | test_get_sparsity_term | assert | func_call | 18 | import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_get_sparsity_term():
gibbs_dag_prior = GibbsDAGPrior(num_nodes=2, sparsity_lambda=torch.tensor(1))
dag = torch.Tensor([[0, 0], [0, 0]])
assert gibbs_dag_prior.get_sparsity_... | gibbs_dag_prior.get_sparsity_term(sparse_dag) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_three_way.py | test_threeway_entropy | assert_* | func_call | 16 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions import ThreeWayAdjacencyDistribution
def test_threeway_entropy():
"""Test entropy is correct for a known distribution"""
num_nodes = 3
logits = torch.nn.Parameter(
torch.zeros(((num_nod... | logits.shape[0] * np.log(3)) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_three_way.py | test_threeway | assert_* | func_call | 13 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions import ThreeWayAdjacencyDistribution
def test_threeway():
"""Test ThreeWay methods are correct for a known distribution."""
probs = torch.Tensor([[0.4, 0.25, 0.35]])
dist = ThreeWayAdjacencyDis... | np.array([[0.0, 0.0], [1.0, 0.0]])) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
microsoft/causica | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | train | train | test/distributions/adjacency/test_three_way.py | test_threeway | assert_* | func_call | 12 | import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions import ThreeWayAdjacencyDistribution
def test_threeway():
"""Test ThreeWay methods are correct for a known distribution."""
probs = torch.Tensor([[0.4, 0.25, 0.35]])
dist = ThreeWayAdjacencyDis... | np.array([[0.0, 0.25], [0.4, 0.0]])) | f20772bf4e2d104aea043f66226b35d2527640f9 | 15 | v2_extractor_at_anchor |
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