diff --git a/dowhy/gcm/shapley.py b/dowhy/gcm/shapley.py index 0bb6ae6752..087f8735dd 100644 --- a/dowhy/gcm/shapley.py +++ b/dowhy/gcm/shapley.py @@ -522,7 +522,7 @@ def _create_subsets_and_weights_exact(num_players: int, high_weight: float) -> T scipy.special.binom(num_players, subset_size) * subset_size * (num_players - subset_size) ) - return np.array(all_subsets, dtype=np.int32), weights.astype(np.float) + return np.array(all_subsets, dtype=np.int32), weights.astype(float) def _create_subsets_and_weights_approximation( @@ -562,7 +562,7 @@ def _create_subsets_and_weights_approximation( weights = np.array([weights[tuple(x)] for x in all_subsets]) - return np.array(all_subsets, dtype=np.int32), weights.astype(np.float) + return np.array(all_subsets, dtype=np.int32), weights.astype(float) def _convert_list_of_indices_to_binary_vector_as_tuple(list_of_indices: List[int], num_players: int) -> Tuple[int]: diff --git a/poetry.lock b/poetry.lock index eef2f034c9..29f01057fa 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2846,39 +2846,39 @@ numpy = ">=1.21,<1.25" [[package]] name = "numpy" -version = "1.23.5" -description = "NumPy is the fundamental package for array computing with Python." +version = "1.24.3" +description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.8" files = [ - {file = "numpy-1.23.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9c88793f78fca17da0145455f0d7826bcb9f37da4764af27ac945488116efe63"}, - {file = "numpy-1.23.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e9f4c4e51567b616be64e05d517c79a8a22f3606499941d97bb76f2ca59f982d"}, - {file = "numpy-1.23.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7903ba8ab592b82014713c491f6c5d3a1cde5b4a3bf116404e08f5b52f6daf43"}, - {file = "numpy-1.23.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e05b1c973a9f858c74367553e236f287e749465f773328c8ef31abe18f691e1"}, - {file = "numpy-1.23.5-cp310-cp310-win32.whl", hash = "sha256:522e26bbf6377e4d76403826ed689c295b0b238f46c28a7251ab94716da0b280"}, - {file = "numpy-1.23.5-cp310-cp310-win_amd64.whl", hash = "sha256:dbee87b469018961d1ad79b1a5d50c0ae850000b639bcb1b694e9981083243b6"}, - {file = "numpy-1.23.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ce571367b6dfe60af04e04a1834ca2dc5f46004ac1cc756fb95319f64c095a96"}, - {file = "numpy-1.23.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:56e454c7833e94ec9769fa0f86e6ff8e42ee38ce0ce1fa4cbb747ea7e06d56aa"}, - {file = "numpy-1.23.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5039f55555e1eab31124a5768898c9e22c25a65c1e0037f4d7c495a45778c9f2"}, - {file = "numpy-1.23.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58f545efd1108e647604a1b5aa809591ccd2540f468a880bedb97247e72db387"}, - {file = "numpy-1.23.5-cp311-cp311-win32.whl", hash = "sha256:b2a9ab7c279c91974f756c84c365a669a887efa287365a8e2c418f8b3ba73fb0"}, - {file = "numpy-1.23.5-cp311-cp311-win_amd64.whl", hash = "sha256:0cbe9848fad08baf71de1a39e12d1b6310f1d5b2d0ea4de051058e6e1076852d"}, - {file = "numpy-1.23.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f063b69b090c9d918f9df0a12116029e274daf0181df392839661c4c7ec9018a"}, - {file = "numpy-1.23.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0aaee12d8883552fadfc41e96b4c82ee7d794949e2a7c3b3a7201e968c7ecab9"}, - {file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92c8c1e89a1f5028a4c6d9e3ccbe311b6ba53694811269b992c0b224269e2398"}, - {file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d208a0f8729f3fb790ed18a003f3a57895b989b40ea4dce4717e9cf4af62c6bb"}, - {file = "numpy-1.23.5-cp38-cp38-win32.whl", hash = "sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07"}, - {file = "numpy-1.23.5-cp38-cp38-win_amd64.whl", hash = "sha256:ca51fcfcc5f9354c45f400059e88bc09215fb71a48d3768fb80e357f3b457e1e"}, - {file = "numpy-1.23.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8969bfd28e85c81f3f94eb4a66bc2cf1dbdc5c18efc320af34bffc54d6b1e38f"}, - {file = "numpy-1.23.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a7ac231a08bb37f852849bbb387a20a57574a97cfc7b6cabb488a4fc8be176de"}, - {file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf837dc63ba5c06dc8797c398db1e223a466c7ece27a1f7b5232ba3466aafe3d"}, - {file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33161613d2269025873025b33e879825ec7b1d831317e68f4f2f0f84ed14c719"}, - {file = "numpy-1.23.5-cp39-cp39-win32.whl", hash = "sha256:af1da88f6bc3d2338ebbf0e22fe487821ea4d8e89053e25fa59d1d79786e7481"}, - {file = "numpy-1.23.5-cp39-cp39-win_amd64.whl", hash = "sha256:09b7847f7e83ca37c6e627682f145856de331049013853f344f37b0c9690e3df"}, - {file = "numpy-1.23.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:abdde9f795cf292fb9651ed48185503a2ff29be87770c3b8e2a14b0cd7aa16f8"}, - {file = "numpy-1.23.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9a909a8bae284d46bbfdefbdd4a262ba19d3bc9921b1e76126b1d21c3c34135"}, - {file = "numpy-1.23.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d"}, - {file = "numpy-1.23.5.tar.gz", hash = "sha256:1b1766d6f397c18153d40015ddfc79ddb715cabadc04d2d228d4e5a8bc4ded1a"}, + {file = "numpy-1.24.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3c1104d3c036fb81ab923f507536daedc718d0ad5a8707c6061cdfd6d184e570"}, + {file = "numpy-1.24.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:202de8f38fc4a45a3eea4b63e2f376e5f2dc64ef0fa692838e31a808520efaf7"}, + {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8535303847b89aa6b0f00aa1dc62867b5a32923e4d1681a35b5eef2d9591a463"}, + {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d926b52ba1367f9acb76b0df6ed21f0b16a1ad87c6720a1121674e5cf63e2b6"}, + {file = "numpy-1.24.3-cp310-cp310-win32.whl", hash = "sha256:f21c442fdd2805e91799fbe044a7b999b8571bb0ab0f7850d0cb9641a687092b"}, + {file = "numpy-1.24.3-cp310-cp310-win_amd64.whl", hash = "sha256:ab5f23af8c16022663a652d3b25dcdc272ac3f83c3af4c02eb8b824e6b3ab9d7"}, + {file = "numpy-1.24.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9a7721ec204d3a237225db3e194c25268faf92e19338a35f3a224469cb6039a3"}, + {file = "numpy-1.24.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d6cc757de514c00b24ae8cf5c876af2a7c3df189028d68c0cb4eaa9cd5afc2bf"}, + {file = "numpy-1.24.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76e3f4e85fc5d4fd311f6e9b794d0c00e7002ec122be271f2019d63376f1d385"}, + {file = "numpy-1.24.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1d3c026f57ceaad42f8231305d4653d5f05dc6332a730ae5c0bea3513de0950"}, + {file = "numpy-1.24.3-cp311-cp311-win32.whl", hash = "sha256:c91c4afd8abc3908e00a44b2672718905b8611503f7ff87390cc0ac3423fb096"}, + {file = "numpy-1.24.3-cp311-cp311-win_amd64.whl", hash = "sha256:5342cf6aad47943286afa6f1609cad9b4266a05e7f2ec408e2cf7aea7ff69d80"}, + {file = "numpy-1.24.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7776ea65423ca6a15255ba1872d82d207bd1e09f6d0894ee4a64678dd2204078"}, + {file = "numpy-1.24.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ae8d0be48d1b6ed82588934aaaa179875e7dc4f3d84da18d7eae6eb3f06c242c"}, + {file = "numpy-1.24.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecde0f8adef7dfdec993fd54b0f78183051b6580f606111a6d789cd14c61ea0c"}, + {file = "numpy-1.24.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4749e053a29364d3452c034827102ee100986903263e89884922ef01a0a6fd2f"}, + {file = "numpy-1.24.3-cp38-cp38-win32.whl", hash = "sha256:d933fabd8f6a319e8530d0de4fcc2e6a61917e0b0c271fded460032db42a0fe4"}, + {file = "numpy-1.24.3-cp38-cp38-win_amd64.whl", hash = "sha256:56e48aec79ae238f6e4395886b5eaed058abb7231fb3361ddd7bfdf4eed54289"}, + {file = "numpy-1.24.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4719d5aefb5189f50887773699eaf94e7d1e02bf36c1a9d353d9f46703758ca4"}, + {file = "numpy-1.24.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0ec87a7084caa559c36e0a2309e4ecb1baa03b687201d0a847c8b0ed476a7187"}, + {file = "numpy-1.24.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea8282b9bcfe2b5e7d491d0bf7f3e2da29700cec05b49e64d6246923329f2b02"}, + {file = "numpy-1.24.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:210461d87fb02a84ef243cac5e814aad2b7f4be953b32cb53327bb49fd77fbb4"}, + {file = "numpy-1.24.3-cp39-cp39-win32.whl", hash = "sha256:784c6da1a07818491b0ffd63c6bbe5a33deaa0e25a20e1b3ea20cf0e43f8046c"}, + {file = "numpy-1.24.3-cp39-cp39-win_amd64.whl", hash = "sha256:d5036197ecae68d7f491fcdb4df90082b0d4960ca6599ba2659957aafced7c17"}, + {file = "numpy-1.24.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:352ee00c7f8387b44d19f4cada524586f07379c0d49270f87233983bc5087ca0"}, + {file = "numpy-1.24.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a7d6acc2e7524c9955e5c903160aa4ea083736fde7e91276b0e5d98e6332812"}, + {file = "numpy-1.24.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:35400e6a8d102fd07c71ed7dcadd9eb62ee9a6e84ec159bd48c28235bbb0f8e4"}, + {file = "numpy-1.24.3.tar.gz", hash = "sha256:ab344f1bf21f140adab8e47fdbc7c35a477dc01408791f8ba00d018dd0bc5155"}, ] [[package]] @@ -5516,4 +5516,4 @@ pygraphviz = ["pygraphviz"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.12" -content-hash = "c41a8dc9d2f4115826cfcfbd7dcf2220c0bd9403c7f266bdeeb3c6e53aa3f803" +content-hash = "468eb66ba1954bd6bedf55a52c7401e4847eb241df027efa6d56b02aa8209bdb" diff --git a/pyproject.toml b/pyproject.toml index 77ab7f74ca..7785025dd3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -69,7 +69,6 @@ causal-learn = ">=0.1.3.0" #Plotting Extra matplotlib = { version = ">=3.5.3", optional = true } -sphinx_design = "^0.3.0" cvxpy = "^1.2.2" [tool.poetry.extras] @@ -109,6 +108,8 @@ optional = true # # Dependencies for Documentation Generation # + +sphinx_design = "^0.3.0" sphinx = "^5.3.0" sphinxcontrib-googleanalytics = { git = "https://github.com/sphinx-contrib/googleanalytics.git", branch = "master" } nbsphinx = "^0.8.9"