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--hash=sha256:e89df2958e5159b811af9ff0f92614dabf4ff617c03a4c1c6ff53bf1c399e0e1 \ + --hash=sha256:ea9f9c6034ea2d93d9147818f17c2a0860d41b71c38b9ce4d55f21b6f9165a11 \ + --hash=sha256:f645caaf0008bacf349875a974220f1f1da349c5dbe7c4ec93048cdc785a3326 \ + --hash=sha256:f8303414c7b03f794347ad062c0516cee0e15f7a612abd0ce1e25caf6ceb47df \ + --hash=sha256:fca62a8301b605b954ad2e9c3666f9d97f63872aa4efcae5492baca2056b74ab click==8.1.3 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e \ --hash=sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48 @@ -146,18 +183,93 @@ cloudpathlib==0.12.1 ; python_version >= "3.9" and python_version < "4.0" \ colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "win32" or python_version >= "3.9" and python_version < "4.0" and platform_system == "Windows" \ 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+fsspec[http]==2023.5.0 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ + --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +gluonts==0.11.12 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:3600fbfb13e2be02c76ea736eaf48f92a98bd7561bafc417547c965a484634b0 \ + --hash=sha256:4bfc12154fa6041fe523329a7d9c675af28344c79c349af3ff3d16e3ea1f21d8 +idna==3.4 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4 \ --hash=sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2 -lightning-utilities==0.6.0.post0 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:6f02cfe59e6576487e709a0e66e07671563bde9e21b40e1c567918e4d753278c \ - --hash=sha256:81edf3ce5ebd43389238afc1bca96ea0c6dcd3b4b442f8365c719dd3a82009dc +lightning-utilities==0.8.0 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:22aa107b51c8f50ccef54d08885eb370903eb04148cddb2891b9c65c59de2a6e \ + --hash=sha256:8e5d95c7c57f026cdfed7c154303e88c93a7a5e868c9944cb02cf71f1db29720 loguru==0.6.0 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:066bd06758d0a513e9836fd9c6b5a75bfb3fd36841f4b996bc60b547a309d41c \ --hash=sha256:4e2414d534a2ab57573365b3e6d0234dfb1d84b68b7f3b948e6fb743860a77c3 @@ -236,35 +348,35 @@ multidict==6.0.4 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:f70b98cd94886b49d91170ef23ec5c0e8ebb6f242d734ed7ed677b24d50c82cf \ --hash=sha256:fc35cb4676846ef752816d5be2193a1e8367b4c1397b74a565a9d0389c433a1d \ --hash=sha256:ff959bee35038c4624250473988b24f846cbeb2c6639de3602c073f10410ceba -numpy==1.24.1 ; python_version < "4.0" and python_version >= "3.9" \ - --hash=sha256:0044f7d944ee882400890f9ae955220d29b33d809a038923d88e4e01d652acd9 \ - 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--hash=sha256:ed5fb71d79e771ec930566fae9c02626b939e37271ec285e9efaf1b5d4370e7d \ - --hash=sha256:ef85cf1f693c88c1fd229ccd1055570cb41cdf4875873b7728b6301f12cd05bf \ - --hash=sha256:f1b739841821968798947d3afcefd386fa56da0caf97722a5de53e07c4ccedc7 +numpy==1.24.3 ; python_version < "4.0" and python_version >= "3.9" \ + --hash=sha256:0ec87a7084caa559c36e0a2309e4ecb1baa03b687201d0a847c8b0ed476a7187 \ + --hash=sha256:1a7d6acc2e7524c9955e5c903160aa4ea083736fde7e91276b0e5d98e6332812 \ + --hash=sha256:202de8f38fc4a45a3eea4b63e2f376e5f2dc64ef0fa692838e31a808520efaf7 \ + --hash=sha256:210461d87fb02a84ef243cac5e814aad2b7f4be953b32cb53327bb49fd77fbb4 \ + --hash=sha256:2d926b52ba1367f9acb76b0df6ed21f0b16a1ad87c6720a1121674e5cf63e2b6 \ + --hash=sha256:352ee00c7f8387b44d19f4cada524586f07379c0d49270f87233983bc5087ca0 \ + --hash=sha256:35400e6a8d102fd07c71ed7dcadd9eb62ee9a6e84ec159bd48c28235bbb0f8e4 \ + --hash=sha256:3c1104d3c036fb81ab923f507536daedc718d0ad5a8707c6061cdfd6d184e570 \ + --hash=sha256:4719d5aefb5189f50887773699eaf94e7d1e02bf36c1a9d353d9f46703758ca4 \ + --hash=sha256:4749e053a29364d3452c034827102ee100986903263e89884922ef01a0a6fd2f \ + --hash=sha256:5342cf6aad47943286afa6f1609cad9b4266a05e7f2ec408e2cf7aea7ff69d80 \ + --hash=sha256:56e48aec79ae238f6e4395886b5eaed058abb7231fb3361ddd7bfdf4eed54289 \ + --hash=sha256:76e3f4e85fc5d4fd311f6e9b794d0c00e7002ec122be271f2019d63376f1d385 \ + --hash=sha256:7776ea65423ca6a15255ba1872d82d207bd1e09f6d0894ee4a64678dd2204078 \ + --hash=sha256:784c6da1a07818491b0ffd63c6bbe5a33deaa0e25a20e1b3ea20cf0e43f8046c \ + --hash=sha256:8535303847b89aa6b0f00aa1dc62867b5a32923e4d1681a35b5eef2d9591a463 \ + --hash=sha256:9a7721ec204d3a237225db3e194c25268faf92e19338a35f3a224469cb6039a3 \ + --hash=sha256:a1d3c026f57ceaad42f8231305d4653d5f05dc6332a730ae5c0bea3513de0950 \ + --hash=sha256:ab344f1bf21f140adab8e47fdbc7c35a477dc01408791f8ba00d018dd0bc5155 \ + --hash=sha256:ab5f23af8c16022663a652d3b25dcdc272ac3f83c3af4c02eb8b824e6b3ab9d7 \ + --hash=sha256:ae8d0be48d1b6ed82588934aaaa179875e7dc4f3d84da18d7eae6eb3f06c242c \ + --hash=sha256:c91c4afd8abc3908e00a44b2672718905b8611503f7ff87390cc0ac3423fb096 \ + --hash=sha256:d5036197ecae68d7f491fcdb4df90082b0d4960ca6599ba2659957aafced7c17 \ + --hash=sha256:d6cc757de514c00b24ae8cf5c876af2a7c3df189028d68c0cb4eaa9cd5afc2bf \ + --hash=sha256:d933fabd8f6a319e8530d0de4fcc2e6a61917e0b0c271fded460032db42a0fe4 \ + --hash=sha256:ea8282b9bcfe2b5e7d491d0bf7f3e2da29700cec05b49e64d6246923329f2b02 \ + --hash=sha256:ecde0f8adef7dfdec993fd54b0f78183051b6580f606111a6d789cd14c61ea0c \ + --hash=sha256:f21c442fdd2805e91799fbe044a7b999b8571bb0ab0f7850d0cb9641a687092b nvidia-cublas-cu11==11.10.3.66 ; python_version >= "3.9" and python_version < "4.0" and platform_system == "Linux" \ --hash=sha256:8ac17ba6ade3ed56ab898a036f9ae0756f1e81052a317bf98f8c6d18dc3ae49e \ --hash=sha256:d32e4d75f94ddfb93ea0a5dda08389bcc65d8916a25cb9f37ac89edaeed3bded @@ -278,9 +390,9 @@ nvidia-cuda-runtime-cu11==11.7.99 ; python_version >= "3.9" and python_version < nvidia-cudnn-cu11==8.5.0.96 ; python_version >= "3.9" and python_version < "4.0" and platform_system == "Linux" \ --hash=sha256:402f40adfc6f418f9dae9ab402e773cfed9beae52333f6d86ae3107a1b9527e7 \ --hash=sha256:71f8111eb830879ff2836db3cccf03bbd735df9b0d17cd93761732ac50a8a108 -packaging==23.0 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ - --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 +packaging==23.1 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61 \ + --hash=sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f pandas==1.5.2 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:0183cb04a057cc38fde5244909fca9826d5d57c4a5b7390c0cc3fa7acd9fa883 \ --hash=sha256:1fc87eac0541a7d24648a001d553406f4256e744d92df1df8ebe41829a915028 \ @@ -309,52 +421,52 @@ pandas==1.5.2 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:e7469271497960b6a781eaa930cba8af400dd59b62ec9ca2f4d31a19f2f91090 \ --hash=sha256:e9dbacd22555c2d47f262ef96bb4e30880e5956169741400af8b306bbb24a273 \ --hash=sha256:f6257b314fc14958f8122779e5a1557517b0f8e500cfb2bd53fa1f75a8ad0af2 -pydantic==1.10.4 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:05a81b006be15655b2a1bae5faa4280cf7c81d0e09fcb49b342ebf826abe5a72 \ - --hash=sha256:0b53e1d41e97063d51a02821b80538053ee4608b9a181c1005441f1673c55423 \ - --hash=sha256:2b3ce5f16deb45c472dde1a0ee05619298c864a20cded09c4edd820e1454129f \ - --hash=sha256:2e82a6d37a95e0b1b42b82ab340ada3963aea1317fd7f888bb6b9dfbf4fff57c \ - --hash=sha256:301d626a59edbe5dfb48fcae245896379a450d04baeed50ef40d8199f2733b06 \ - --hash=sha256:39f4a73e5342b25c2959529f07f026ef58147249f9b7431e1ba8414a36761f53 \ - --hash=sha256:4948f264678c703f3877d1c8877c4e3b2e12e549c57795107f08cf70c6ec7774 \ - --hash=sha256:4b05697738e7d2040696b0a66d9f0a10bec0efa1883ca75ee9e55baf511909d6 \ - --hash=sha256:51bdeb10d2db0f288e71d49c9cefa609bca271720ecd0c58009bd7504a0c464c \ - --hash=sha256:55b1625899acd33229c4352ce0ae54038529b412bd51c4915349b49ca575258f \ - --hash=sha256:572066051eeac73d23f95ba9a71349c42a3e05999d0ee1572b7860235b850cc6 \ - --hash=sha256:6a05a9db1ef5be0fe63e988f9617ca2551013f55000289c671f71ec16f4985e3 \ - --hash=sha256:6dc1cc241440ed7ca9ab59d9929075445da6b7c94ced281b3dd4cfe6c8cff817 \ - --hash=sha256:6e7124d6855b2780611d9f5e1e145e86667eaa3bd9459192c8dc1a097f5e9903 \ - --hash=sha256:75d52162fe6b2b55964fbb0af2ee58e99791a3138588c482572bb6087953113a \ - --hash=sha256:78cec42b95dbb500a1f7120bdf95c401f6abb616bbe8785ef09887306792e66e \ - --hash=sha256:7feb6a2d401f4d6863050f58325b8d99c1e56f4512d98b11ac64ad1751dc647d \ - --hash=sha256:8775d4ef5e7299a2f4699501077a0defdaac5b6c4321173bcb0f3c496fbadf85 \ - --hash=sha256:887ca463c3bc47103c123bc06919c86720e80e1214aab79e9b779cda0ff92a00 \ - --hash=sha256:9193d4f4ee8feca58bc56c8306bcb820f5c7905fd919e0750acdeeeef0615b28 \ - --hash=sha256:983e720704431a6573d626b00662eb78a07148c9115129f9b4351091ec95ecc3 \ - --hash=sha256:990406d226dea0e8f25f643b370224771878142155b879784ce89f633541a024 \ - --hash=sha256:9cbdc268a62d9a98c56e2452d6c41c0263d64a2009aac69246486f01b4f594c4 \ - --hash=sha256:a48f1953c4a1d9bd0b5167ac50da9a79f6072c63c4cef4cf2a3736994903583e \ - --hash=sha256:a9a6747cac06c2beb466064dda999a13176b23535e4c496c9d48e6406f92d42d \ - --hash=sha256:a9f2de23bec87ff306aef658384b02aa7c32389766af3c5dee9ce33e80222dfa \ - --hash=sha256:b5635de53e6686fe7a44b5cf25fcc419a0d5e5c1a1efe73d49d48fe7586db854 \ - --hash=sha256:b6f9d649892a6f54a39ed56b8dfd5e08b5f3be5f893da430bed76975f3735d15 \ - --hash=sha256:b9a3859f24eb4e097502a3be1fb4b2abb79b6103dd9e2e0edb70613a4459a648 \ - --hash=sha256:cd8702c5142afda03dc2b1ee6bc358b62b3735b2cce53fc77b31ca9f728e4bc8 \ - --hash=sha256:d7b5a3821225f5c43496c324b0d6875fde910a1c2933d726a743ce328fbb2a8c \ - --hash=sha256:d88c4c0e5c5dfd05092a4b271282ef0588e5f4aaf345778056fc5259ba098857 \ - --hash=sha256:eb992a1ef739cc7b543576337bebfc62c0e6567434e522e97291b251a41dad7f \ - --hash=sha256:f2f7eb6273dd12472d7f218e1fef6f7c7c2f00ac2e1ecde4db8824c457300416 \ - --hash=sha256:fdf88ab63c3ee282c76d652fc86518aacb737ff35796023fae56a65ced1a5978 \ - --hash=sha256:fdf8d759ef326962b4678d89e275ffc55b7ce59d917d9f72233762061fd04a2d +pydantic==1.10.7 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:01aea3a42c13f2602b7ecbbea484a98169fb568ebd9e247593ea05f01b884b2e \ + --hash=sha256:0cd181f1d0b1d00e2b705f1bf1ac7799a2d938cce3376b8007df62b29be3c2c6 \ + --hash=sha256:10a86d8c8db68086f1e30a530f7d5f83eb0685e632e411dbbcf2d5c0150e8dcd \ + --hash=sha256:193924c563fae6ddcb71d3f06fa153866423ac1b793a47936656e806b64e24ca \ + --hash=sha256:464855a7ff7f2cc2cf537ecc421291b9132aa9c79aef44e917ad711b4a93163b \ + --hash=sha256:516f1ed9bc2406a0467dd777afc636c7091d71f214d5e413d64fef45174cfc7a \ + --hash=sha256:6434b49c0b03a51021ade5c4daa7d70c98f7a79e95b551201fff682fc1661245 \ + --hash=sha256:64d34ab766fa056df49013bb6e79921a0265204c071984e75a09cbceacbbdd5d \ + --hash=sha256:670bb4683ad1e48b0ecb06f0cfe2178dcf74ff27921cdf1606e527d2617a81ee \ + --hash=sha256:68792151e174a4aa9e9fc1b4e653e65a354a2fa0fed169f7b3d09902ad2cb6f1 \ + --hash=sha256:701daea9ffe9d26f97b52f1d157e0d4121644f0fcf80b443248434958fd03dc3 \ + --hash=sha256:7d45fc99d64af9aaf7e308054a0067fdcd87ffe974f2442312372dfa66e1001d \ + --hash=sha256:80b1fab4deb08a8292d15e43a6edccdffa5377a36a4597bb545b93e79c5ff0a5 \ + --hash=sha256:82dffb306dd20bd5268fd6379bc4bfe75242a9c2b79fec58e1041fbbdb1f7914 \ + --hash=sha256:8c7f51861d73e8b9ddcb9916ae7ac39fb52761d9ea0df41128e81e2ba42886cd \ + --hash=sha256:950ce33857841f9a337ce07ddf46bc84e1c4946d2a3bba18f8280297157a3fd1 \ + --hash=sha256:976cae77ba6a49d80f461fd8bba183ff7ba79f44aa5cfa82f1346b5626542f8e \ + --hash=sha256:9f6f0fd68d73257ad6685419478c5aece46432f4bdd8d32c7345f1986496171e \ + --hash=sha256:a7cd2251439988b413cb0a985c4ed82b6c6aac382dbaff53ae03c4b23a70e80a \ + --hash=sha256:abfb7d4a7cd5cc4e1d1887c43503a7c5dd608eadf8bc615413fc498d3e4645cd \ + --hash=sha256:ae150a63564929c675d7f2303008d88426a0add46efd76c3fc797cd71cb1b46f \ + --hash=sha256:b0f85904f73161817b80781cc150f8b906d521fa11e3cdabae19a581c3606209 \ + --hash=sha256:b4a849d10f211389502059c33332e91327bc154acc1845f375a99eca3afa802d \ + --hash=sha256:c15582f9055fbc1bfe50266a19771bbbef33dd28c45e78afbe1996fd70966c2a \ + --hash=sha256:c230c0d8a322276d6e7b88c3f7ce885f9ed16e0910354510e0bae84d54991143 \ + --hash=sha256:cc1dde4e50a5fc1336ee0581c1612215bc64ed6d28d2c7c6f25d2fe3e7c3e918 \ + --hash=sha256:cf135c46099ff3f919d2150a948ce94b9ce545598ef2c6c7bf55dca98a304b52 \ + --hash=sha256:cfc83c0678b6ba51b0532bea66860617c4cd4251ecf76e9846fa5a9f3454e97e \ + --hash=sha256:d2a5ebb48958754d386195fe9e9c5106f11275867051bf017a8059410e9abf1f \ + --hash=sha256:d71e69699498b020ea198468e2480a2f1e7433e32a3a99760058c6520e2bea7e \ + --hash=sha256:d75ae19d2a3dbb146b6f324031c24f8a3f52ff5d6a9f22f0683694b3afcb16fb \ + --hash=sha256:dfe2507b8ef209da71b6fb5f4e597b50c5a34b78d7e857c4f8f3115effaef5fe \ + --hash=sha256:e0cfe895a504c060e5d36b287ee696e2fdad02d89e0d895f83037245218a87fe \ + --hash=sha256:e79e999e539872e903767c417c897e729e015872040e56b96e67968c3b918b2d \ + --hash=sha256:ecbbc51391248116c0a055899e6c3e7ffbb11fb5e2a4cd6f2d0b93272118a209 \ + --hash=sha256:f4a2b50e2b03d5776e7f21af73e2070e1b5c0d0df255a827e7c632962f8315af python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 -pytorch-lightning==1.9.0 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:5b75fe936d16ef86dae22ea1cb0a73db281605cade682c0ef44e6508a99a0b37 \ - --hash=sha256:fcd19d985db8d1a9656faaed80bb79a3548f2ed0471c05c089e01e0fb7ff92b2 -pytz==2022.7.1 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ - --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a +pytorch-lightning==1.9.5 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:06821558158623c5d2ecf5d3d0374dc8bd661e0acd3acf54a6d6f71737c156c5 \ + --hash=sha256:925fe7b80ddf04859fa385aa493b260be4000b11a2f22447afb4a932d1f07d26 +pytz==2023.3 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:1d8ce29db189191fb55338ee6d0387d82ab59f3d00eac103412d64e0ebd0c588 \ + --hash=sha256:a151b3abb88eda1d4e34a9814df37de2a80e301e68ba0fd856fb9b46bfbbbffb pyyaml==6.0 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf \ --hash=sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293 \ @@ -396,18 +508,18 @@ pyyaml==6.0 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:dbad0e9d368bb989f4515da330b88a057617d16b6a8245084f1b05400f24609f \ --hash=sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174 \ --hash=sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5 -requests==2.28.2 ; python_version >= "3.9" and python_version < "4" \ - --hash=sha256:64299f4909223da747622c030b781c0d7811e359c37124b4bd368fb8c6518baa \ - --hash=sha256:98b1b2782e3c6c4904938b84c0eb932721069dfdb9134313beff7c83c2df24bf -setuptools==66.1.1 ; python_version >= "3.9" and python_version < "4.0" and platform_system == "Linux" \ - --hash=sha256:6f590d76b713d5de4e49fe4fbca24474469f53c83632d5d0fd056f7ff7e8112b \ - --hash=sha256:ac4008d396bc9cd983ea483cb7139c0240a07bbc74ffb6232fceffedc6cf03a8 +requests==2.30.0 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:10e94cc4f3121ee6da529d358cdaeaff2f1c409cd377dbc72b825852f2f7e294 \ + --hash=sha256:239d7d4458afcb28a692cdd298d87542235f4ca8d36d03a15bfc128a6559a2f4 +setuptools==67.8.0 ; python_version >= "3.9" and python_version < "4.0" and platform_system == "Linux" \ + --hash=sha256:5df61bf30bb10c6f756eb19e7c9f3b473051f48db77fddbe06ff2ca307df9a6f \ + --hash=sha256:62642358adc77ffa87233bc4d2354c4b2682d214048f500964dbe760ccedf102 six==1.16.0 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 -strenum==0.4.9 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:1b15ccff9eb0e22e77b8f874366ea752754280adc9144e6e388705d14cc350e7 \ - --hash=sha256:c3df653030837b8077b2eb929738283481f01b07c7ef73ab4db368449830cc46 +strenum==0.4.10 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:898cc0ebb5054ee07400341ac1d75fdfee489d76d6df3fbc1c2eaf95971e3916 \ + --hash=sha256:aebf04bba8e5af435937c452d69a86798b6f8d5ca5f20ba18561dbfad571ccdd toolz==0.12.0 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \ --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194 @@ -433,99 +545,99 @@ torch==1.13.1 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:eeeb204d30fd40af6a2d80879b46a7efbe3cf43cdbeb8838dd4f3d126cc90b2b \ --hash=sha256:f402ca80b66e9fbd661ed4287d7553f7f3899d9ab54bf5c67faada1555abde28 \ --hash=sha256:fd12043868a34a8da7d490bf6db66991108b00ffbeecb034228bfcbbd4197143 -torchmetrics==0.11.0 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:c838e0491d80775daadd0802e27ae3af112a52086c9ba8cbcd1e2807243c89ac \ - --hash=sha256:f809c3cb86a0bd3d8743df0888040257e20d371a937ff9114f582a60ce1a1c67 -tqdm==4.64.1 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +torchmetrics==0.11.4 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:1fe45a14b44dd65d90199017dd5a4b5a128d56a8a311da7916c402c18c671494 \ + --hash=sha256:45f892f3534e91f3ad9e2488d1b05a93b7cb76b7d037969435a41a1f24750d9a +tqdm==4.65.0 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5 \ + --hash=sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671 ts-bolt==0.0.4 ; python_version >= "3.9" and python_version < "4.0" \ --hash=sha256:109e56382e0495015b4898dff9bf0fb26f720c663b0d400ca10080e9d41cfd0c \ --hash=sha256:576f9f1338ac64ede9ae9635a1c3dcd1eaf1b2fab1a22a1f70c94fb27e577060 -typing-extensions==4.4.0 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \ - --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e -urllib3==1.26.14 ; python_version >= "3.9" and python_version < "4" \ - --hash=sha256:076907bf8fd355cde77728471316625a4d2f7e713c125f51953bb5b3eecf4f72 \ - --hash=sha256:75edcdc2f7d85b137124a6c3c9fc3933cdeaa12ecb9a6a959f22797a0feca7e1 -wheel==0.38.4 ; python_version >= "3.9" and python_version < "4.0" and platform_system == "Linux" \ - --hash=sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac \ - --hash=sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8 +typing-extensions==4.5.0 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb \ + --hash=sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4 +urllib3==2.0.2 ; python_version >= "3.9" and python_version < "4.0" \ + --hash=sha256:61717a1095d7e155cdb737ac7bb2f4324a858a1e2e6466f6d03ff630ca68d3cc \ + --hash=sha256:d055c2f9d38dc53c808f6fdc8eab7360b6fdbbde02340ed25cfbcd817c62469e +wheel==0.40.0 ; python_version >= "3.9" and python_version < "4.0" and platform_system == "Linux" \ + --hash=sha256:cd1196f3faee2b31968d626e1731c94f99cbdb67cf5a46e4f5656cbee7738873 \ + --hash=sha256:d236b20e7cb522daf2390fa84c55eea81c5c30190f90f29ae2ca1ad8355bf247 win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "win32" \ --hash=sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2 \ --hash=sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad -yarl==1.8.2 ; python_version >= "3.9" and python_version < "4.0" \ - --hash=sha256:009a028127e0a1755c38b03244c0bea9d5565630db9c4cf9572496e947137a87 \ - --hash=sha256:0414fd91ce0b763d4eadb4456795b307a71524dbacd015c657bb2a39db2eab89 \ - 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--hash=sha256:be6b3fdec5c62f2a67cb3f8c6dbf56bbf3f61c0f046f84645cd1ca73532ea051 \ + --hash=sha256:bf74d08542c3a9ea97bb8f343d4fcbd4d8f91bba5ec9d5d7f792dbe727f88938 \ + --hash=sha256:c027a6e96ef77d401d8d5a5c8d6bc478e8042f1e448272e8d9752cb0aff8b5c8 \ + --hash=sha256:c0c77533b5ed4bcc38e943178ccae29b9bcf48ffd1063f5821192f23a1bd27b9 \ + --hash=sha256:c1012fa63eb6c032f3ce5d2171c267992ae0c00b9e164efe4d73db818465fac3 \ + --hash=sha256:c3a53ba34a636a256d767c086ceb111358876e1fb6b50dfc4d3f4951d40133d5 \ + --hash=sha256:d4e2c6d555e77b37288eaf45b8f60f0737c9efa3452c6c44626a5455aeb250b9 \ + --hash=sha256:de119f56f3c5f0e2fb4dee508531a32b069a5f2c6e827b272d1e0ff5ac040333 \ + --hash=sha256:e65610c5792870d45d7b68c677681376fcf9cc1c289f23e8e8b39c1485384185 \ + --hash=sha256:e9fdc7ac0d42bc3ea78818557fab03af6181e076a2944f43c38684b4b6bed8e3 \ + --hash=sha256:ee4afac41415d52d53a9833ebae7e32b344be72835bbb589018c9e938045a560 \ + --hash=sha256:f364d3480bffd3aa566e886587eaca7c8c04d74f6e8933f3f2c996b7f09bee1b \ + --hash=sha256:f3b078dbe227f79be488ffcfc7a9edb3409d018e0952cf13f15fd6512847f3f7 \ + --hash=sha256:f4e2d08f07a3d7d3e12549052eb5ad3eab1c349c53ac51c209a0e5991bbada78 \ + --hash=sha256:f7a3d8146575e08c29ed1cd287068e6d02f1c7bdff8970db96683b9591b86ee7 diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py new file mode 100644 index 0000000..6240207 --- /dev/null +++ b/tests/integration/conftest.py @@ -0,0 +1,19 @@ +from pathlib import Path +import pytest + + +@pytest.fixture +def data_folder_path(): + location = Path(__file__).parent.resolve() + return location / "data" + + +@pytest.fixture +def expected_folder_path(): + location = Path(__file__).parent.resolve() + return location / "expected" + + +@pytest.fixture +def ecb_path(data_folder_path): + return data_folder_path / "ecb_exchange_rate.csv" diff --git a/tests/integration/data/__init__.py b/tests/integration/data/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/integration/data/ecb_exchange_rate.csv b/tests/integration/data/ecb_exchange_rate.csv new file mode 100644 index 0000000..0d02a7d --- /dev/null +++ b/tests/integration/data/ecb_exchange_rate.csv @@ -0,0 +1,101 @@ +Date,USD,JPY,BGN,CYP,CZK,DKK,EEK,GBP,HUF,LTL,LVL,MTL,PLN,ROL,RON,SEK,SIT,SKK,CHF,ISK,NOK,HRK,RUB,TRL,TRY,AUD,BRL,CAD,CNY,HKD,IDR,ILS,INR,KRW,MXN,MYR,NZD,PHP,SGD,THB,ZAR +2023-02-24,1.057,143.55,1.9558,,23.643,7.4438,,0.88245,380.6,,,,4.7205,,4.9195,11.003,,,0.9898,152.7,10.937,,,,19.9565,1.5668,5.4633,1.4374,7.3398,8.2959,16098.17,3.8916,87.4845,1387.18,19.5027,4.6883,1.7109,58.045,1.4239,36.921,19.5243 +2023-02-23,1.0616,143.32,1.9558,,23.686,7.4429,,0.8814,381.43,,,,4.7438,,4.9146,11.0579,,,0.9892,152.7,10.9545,,,,20.0355,1.5551,5.4765,1.4366,7.3227,8.3291,16141.05,3.8401,87.6695,1376.59,19.4512,4.7071,1.7039,58.351,1.4249,36.848,19.4076 +2023-02-22,1.0644,143.24,1.9558,,23.669,7.4459,,0.87945,382.33,,,,4.7443,,4.9238,11.0163,,,0.987,154.3,10.9665,,,,20.0908,1.5576,5.5008,1.4408,7.3367,8.3512,16178.12,3.886,88.238,1386.99,19.5976,4.7275,1.7066,58.648,1.4252,36.775,19.4048 +2023-02-21,1.0664,143.76,1.9558,,23.73,7.4456,,0.87925,382.19,,,,4.7478,,4.9188,11.0098,,,0.9853,154.1,10.9468,,,,20.1223,1.5517,5.511,1.4351,7.3372,8.3645,16194.81,3.8859,88.2835,1387.03,19.6085,4.7268,1.7092,58.684,1.4272,36.897,19.4579 +2023-02-20,1.0674,143.09,1.9558,,23.693,7.4461,,0.88738,382.83,,,,4.7435,,4.918,11.062,,,0.9861,154.7,10.9683,,,,20.1379,1.5456,5.5162,1.4367,7.3191,8.3623,16178.69,3.8032,88.306,1384.38,19.6555,4.7291,1.7087,58.675,1.4259,36.708,19.3471 +2023-02-17,1.0625,143.18,1.9558,,23.715,7.4464,,0.88888,386.61,,,,4.7773,,4.9165,11.1983,,,0.9896,154.1,11.015,,,,20.0478,1.556,5.5487,1.4366,7.3081,8.3349,16160.7,3.785,88.021,1383.32,19.7313,4.709,1.7123,58.831,1.4231,36.741,19.265 +2023-02-16,1.07,143.31,1.9558,,23.685,7.449,,0.88883,382.65,,,,4.7765,,4.9009,11.142,,,0.9873,154.3,10.9513,,,,20.1685,1.55,5.609,1.4334,7.3351,8.3985,16193.38,3.7907,88.4574,1376.52,19.872,4.7123,1.7033,59.011,1.4287,36.738,19.4066 +2023-02-15,1.07,143.05,1.9558,,23.666,7.4515,,0.88825,380.58,,,,4.76,,4.9008,11.14,,,0.9885,153.9,10.9193,,,,20.1677,1.5529,5.586,1.4356,7.3229,8.3983,16320.55,3.773,88.6415,1374.34,19.9732,4.7,1.7063,59.075,1.4285,36.771,19.2891 +2023-02-14,1.0759,142.14,1.9558,,23.749,7.4514,,0.88125,382.45,,,,4.7623,,4.901,11.101,,,0.987,153.3,10.8778,,,,20.2779,1.5411,5.5552,1.4332,7.3314,8.4457,16303.53,3.7724,89.1227,1362.59,20.0122,4.6786,1.6962,58.992,1.427,36.387,19.1656 +2023-02-13,1.0686,141.65,1.9558,,23.739,7.4485,,0.88281,385.48,,,,4.7875,,4.9031,11.155,,,0.9849,153.1,10.8213,,,,20.1377,1.5388,5.5576,1.4263,7.293,8.3885,16278.44,3.7814,88.395,1364.06,19.8946,4.6618,1.6846,58.581,1.4229,36.177,19.1664 +2023-02-10,1.069,139.88,1.9558,,23.692,7.4445,,0.88348,389.78,,,,4.781,,4.902,11.163,,,0.9872,152.1,10.871,,,,20.1357,1.5432,5.6245,1.4364,7.2837,8.3916,16233.33,3.782,88.2475,1354.1,20.054,4.6314,1.6904,58.207,1.4199,36.057,19.0834 +2023-02-09,1.0771,140.8,1.9558,,23.698,7.4419,,0.88515,385.8,,,,4.7388,,4.8935,11.139,,,0.989,151.1,10.9123,,,,20.2844,1.5409,5.6165,1.4423,7.2992,8.4551,16279.95,3.7576,88.8905,1355.38,20.3293,4.6488,1.6906,58.659,1.4237,36.013,19.0134 +2023-02-08,1.0735,140.81,1.9558,,23.782,7.4421,,0.888,388.73,,,,4.7385,,4.8975,11.3423,,,0.9881,151.5,11.026,,,,20.2164,1.5416,5.5644,1.4389,7.2841,8.4265,16227.39,3.7408,88.594,1351.4,20.2984,4.6144,1.6971,58.817,1.422,35.973,18.9129 +2023-02-07,1.07,141.3,1.9558,,23.832,7.4415,,0.89338,394.4,,,,4.7565,,4.902,11.3805,,,0.9906,152.1,11.1253,,,,20.1478,1.547,5.5216,1.4371,7.2608,8.3974,16239.13,3.7237,88.5096,1348.81,20.4316,4.6035,1.6994,59.032,1.4199,35.989,18.8746 +2023-02-06,1.0776,142.41,1.9558,,23.843,7.4432,,0.89278,390.83,,,,4.7228,,4.9055,11.3652,,,0.9964,152.9,11.0428,,,,20.2917,1.5596,5.5625,1.4459,7.309,8.4539,16338.36,3.7338,89.0922,1353.65,20.4882,4.5884,1.7075,58.686,1.4266,36.207,18.9013 +2023-02-03,1.0937,140.45,1.9558,,23.725,7.4443,,0.8925,386.58,,,,4.692,,4.902,11.3323,,,0.9989,153.7,10.9783,,,,20.5806,1.5499,5.5414,1.4616,7.3689,8.5802,16312.7,3.7207,89.592,1346.17,20.4625,4.657,1.6886,58.721,1.4331,36.114,18.7624 +2023-02-02,1.0988,141.12,1.9558,,23.809,7.4393,,0.89289,387.2,,,,4.7015,,4.9025,11.3587,,,0.9992,153.5,10.9535,,,,20.6766,1.5407,5.4859,1.4602,7.3878,8.6183,16360.69,3.7577,90.3015,1345.9,20.405,4.6655,1.6855,59.17,1.4352,36.03,18.7046 +2023-02-01,1.0894,141.37,1.9558,,23.775,7.4396,,0.88413,390.2,,,,4.7075,,4.9117,11.3455,,,0.998,153.5,10.8569,,,,20.4978,1.5392,5.5174,1.4506,7.3452,8.5444,16299.47,3.769,89.106,1339.22,20.4919,4.6471,1.6903,59.318,1.4303,35.841,18.8328 +2023-01-31,1.0833,141.27,1.9558,,23.792,7.4388,,0.88073,390.91,,,,4.709,,4.921,11.348,,,1.0032,153.1,10.9083,,,,20.3787,1.5476,5.5373,1.457,7.3198,8.4898,16282.57,3.7675,88.636,1338.9,20.3961,4.6211,1.6858,59.192,1.4268,35.787,18.9223 +2023-01-30,1.0903,141.79,1.9558,,23.861,7.4383,,0.87978,390.53,,,,4.7103,,4.9055,11.262,,,1.0045,153.3,10.7925,,,,20.5063,1.539,5.5654,1.4532,7.3601,8.5415,16335.28,3.7786,88.8885,1338.87,20.487,4.6272,1.6778,59.47,1.431,35.68,18.889 +2023-01-27,1.0865,141.1,1.9558,,23.826,7.4378,,0.87885,388.85,,,,4.7085,,4.8965,11.2108,,,1.0017,154.9,10.76,,,,20.4365,1.5289,5.5104,1.4479,7.369,8.5061,16281.15,3.7353,88.672,1341.37,20.3678,4.6116,1.6759,59.187,1.4277,35.702,18.7185 +2023-01-26,1.0895,141.38,1.9558,,23.818,7.4383,,0.87945,387.38,,,,4.7195,,4.8818,11.1763,,,1.0002,156.5,10.762,,,,20.4961,1.5308,5.5572,1.4568,7.3893,8.5295,16298.97,3.7091,88.8255,1342.51,20.5275,4.6255,1.6799,59.301,1.4292,35.687,18.6127 +2023-01-25,1.0878,141.17,1.9558,,23.808,7.4381,,0.88248,388.75,,,,4.7158,,4.9035,11.1335,,,1.002,157.1,10.7896,,,,20.4658,1.536,5.569,1.4544,7.3778,8.5202,16278.93,3.6651,88.7258,1343.93,20.436,4.6357,1.6792,59.35,1.4307,35.718,18.6745 +2023-01-24,1.0858,141.47,1.9558,,23.874,7.4399,,0.88368,397.33,,,,4.713,,4.9171,11.0995,,,1.0053,156.1,10.7193,,,,20.4234,1.547,5.6164,1.4517,7.3642,8.5014,16259.05,3.6671,88.6235,1341.6,20.4603,4.6448,1.6743,59.122,1.4337,35.609,18.7687 +2023-01-23,1.0871,141.65,1.9558,,23.881,7.4393,,0.8797,395.98,,,,4.7113,,4.9202,11.1183,,,1.0013,154.7,10.6835,,,,20.4478,1.5529,5.6372,1.4523,7.373,8.5105,16314.27,3.6709,88.452,1335.67,20.4428,4.6588,1.6778,59.345,1.4328,35.63,18.6597 +2023-01-20,1.0826,140.86,1.9558,,23.922,7.4391,,0.876,395.88,,,,4.71,,4.9258,11.1655,,,0.9962,154.3,10.7135,,,,20.3566,1.5619,5.6271,1.4583,7.3425,8.4775,16367.67,3.6839,87.817,1336.47,20.4865,4.6395,1.6852,58.958,1.4311,35.455,18.577 +2023-01-19,1.0815,139.02,1.9558,,23.924,7.4398,,0.87648,396.43,,,,4.7063,,4.9265,11.1533,,,0.9921,154.5,10.746,,,,20.3295,1.5726,5.6326,1.4603,7.3424,8.4696,16429.66,3.6952,88.046,1340.52,20.5437,4.6591,1.6978,59.099,1.4326,35.803,18.6931 +2023-01-18,1.0839,139.79,1.9558,,23.954,7.4399,,0.8753,396.15,,,,4.6983,,4.9388,11.1735,,,0.9906,154.5,10.6553,,,,20.3706,1.5413,5.5252,1.4505,7.3193,8.4814,16307.2,3.6524,88.142,1337.16,20.2193,4.6754,1.6683,59.17,1.428,35.633,18.396 +2023-01-17,1.0843,139.5,1.9558,,23.966,7.4386,,0.88595,399.58,,,,4.6958,,4.9356,11.285,,,0.9998,154.5,10.7463,,,,20.3762,1.5611,5.5607,1.4547,7.3473,8.4807,16467.83,3.7021,88.577,1343.5,20.3994,4.6912,1.6957,59.441,1.4343,35.869,18.6027 +2023-01-16,1.0812,138.92,1.9558,,23.997,7.4392,,0.88758,398.98,,,,4.6935,,4.9313,11.2725,,,1.0026,154.5,10.6945,,,,20.3175,1.5537,5.524,1.4486,7.2791,8.4449,16335.03,3.6971,88.2795,1340.22,20.358,4.6665,1.6945,58.936,1.4288,35.696,18.445 +2023-01-13,1.0814,139.02,1.9558,,24.011,7.4387,,0.888,396.96,,,,4.6888,,4.9423,11.2528,,,1.0051,154.3,10.6945,,,,20.3196,1.5586,5.5512,1.4494,7.2729,8.4471,16412.0,3.7032,88.096,1343.41,20.4391,4.689,1.7014,59.44,1.4311,35.751,18.2482 +2023-01-12,1.0772,140.61,1.9558,,24.036,7.4385,,0.8869,399.6,,,,4.692,,4.944,11.273,,,1.0056,154.3,10.7228,,,,20.2312,1.557,5.5556,1.4439,7.27,8.4121,16456.12,3.6893,87.783,1340.17,20.3745,4.6955,1.6937,59.292,1.4309,35.849,18.1417 +2023-01-11,1.0747,142.61,1.9558,,24.027,7.4375,,0.88673,399.1,,,,4.6819,,4.9335,11.2783,,,0.9967,154.3,10.738,,,,20.1793,1.5588,5.584,1.4429,7.2807,8.3974,16612.34,3.7104,87.812,1341.01,20.4957,4.6975,1.6912,59.013,1.4316,35.895,18.2827 +2023-01-10,1.0723,141.92,1.9558,,23.984,7.4375,,0.8833,399.0,,,,4.695,,4.9338,11.1963,,,0.9908,154.7,10.6785,,,,20.1356,1.5616,5.6471,1.4382,7.2732,8.374,16675.07,3.7244,87.703,1338.38,20.5299,4.6889,1.6879,58.751,1.429,36.024,18.3054 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+2022-10-10,0.9697,141.16,1.9558,,24.521,7.4384,,0.8773,428.2,,,,4.8655,,4.94,10.9502,,,0.968,139.9,10.3378,7.528,,,18.0131,1.536,5.0328,1.3312,6.9344,7.612,14872.51,3.4463,79.9678,1384.26,19.3588,4.5091,1.7369,57.197,1.3939,36.81,17.5866 +2022-10-07,0.9797,141.92,1.9558,,24.517,7.4381,,0.87383,423.85,,,,4.8595,,4.9415,10.8555,,,0.97,140.7,10.4498,7.527,,,18.209,1.5266,5.1075,1.3437,6.9715,7.6906,14933.14,3.4477,80.546,1381.42,19.643,4.5556,1.7328,57.747,1.3996,36.602,17.6222 diff --git a/tests/integration/expected/ecb_dataframe_dataset.pickle b/tests/integration/expected/ecb_dataframe_dataset.pickle new file mode 100644 index 0000000..8067e79 Binary files /dev/null and b/tests/integration/expected/ecb_dataframe_dataset.pickle differ diff --git a/tests/integration/test_data.py b/tests/integration/test_data.py new file mode 100644 index 0000000..a87208e --- /dev/null +++ b/tests/integration/test_data.py @@ -0,0 +1,37 @@ +from ts_diffusion.data import collate_convert_tensor, DataFrameDataset +import pandas as pd +import pickle +import pytest +from torch.testing import assert_allclose + + +@pytest.fixture +def input_length(): + return 3 + + +@pytest.fixture +def horizon(): + return 2 + + +def test_dataframe_dataset(ecb_path, input_length, horizon, expected_folder_path): + + is_regenerate_artefact = False + + expected_data_path = expected_folder_path / "ecb_dataframe_dataset.pickle" + + df = pd.read_csv(ecb_path).drop("Date", axis=1) + ds = DataFrameDataset(dataframe=df, input_length=input_length, horizon=horizon) + + if is_regenerate_artefact: + with open(expected_data_path, "wb+") as fp: + pickle.dump(ds, fp) + raise Exception(f"regeneration set to True, please set it to False") + + with open(expected_data_path, "rb") as fp: + ds_expected = pickle.load(fp) + + for de, d in zip(list(ds_expected), list(ds)): + for de_, d_ in zip(de, d): + assert_allclose(de_, d_) diff --git a/tests/integration/test_model.py b/tests/integration/test_model.py new file mode 100644 index 0000000..c7fbd08 --- /dev/null +++ b/tests/integration/test_model.py @@ -0,0 +1,28 @@ +from ts_diffusion.model import Sample +from ts_diffusion.data import DataFrameDataset, collate_convert_tensor +from torch.utils.data import DataLoader +import pandas as pd + +import pytest + + +@pytest.fixture +def input_length(): + return 3 + + +@pytest.fixture +def horizon(): + return 2 + + +def test_sample(ecb_path, horizon, input_length): + + df = pd.read_csv(ecb_path).drop("Date", axis=1) + ds = DataFrameDataset(dataframe=df, input_length=input_length, horizon=horizon) + + dl = DataLoader(dataset=ds, batch_size=2, collate_fn=collate_convert_tensor) + + s = Sample() + for b in dl: + s(b) diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/unit/conftest.py b/tests/unit/conftest.py new file mode 100644 index 0000000..712b6a1 --- /dev/null +++ b/tests/unit/conftest.py @@ -0,0 +1,35 @@ +import pytest +import pandas as pd + + +@pytest.fixture +def dataframe_length(): + return 10 + + +@pytest.fixture +def input_length(): + return 3 + + +@pytest.fixture +def horizon(): + return 2 + + +def test_a(input_length): + pass + + +@pytest.fixture +def dataframe(dataframe_length): + + return pd.DataFrame( + { + "date": [ + d.toordinal() + for d in pd.date_range("2021-01-01", periods=dataframe_length) + ], + "target": list(range(dataframe_length)), + } + ) diff --git a/tests/unit/test_data.py b/tests/unit/test_data.py new file mode 100644 index 0000000..89996bc --- /dev/null +++ b/tests/unit/test_data.py @@ -0,0 +1,27 @@ +from ts_diffusion.data import DataFrameDataset +import pytest +from torch.utils.data import DataLoader +from ts_diffusion.data import collate_convert_tensor + + +@pytest.fixture +def dataframe_dataset(dataframe, input_length, horizon): + return DataFrameDataset( + dataframe=dataframe, input_length=input_length, horizon=horizon + ) + + +def test_dataframe_dataset_length(dataframe_dataset): + + assert len(dataframe_dataset) == 6 # 10 - 3 - 2 + 1 + + +def test_pandasdataframe_dataloader(dataframe_dataset): + + dl = DataLoader( + dataset=dataframe_dataset, batch_size=2, collate_fn=collate_convert_tensor + ) + + next(iter(dl)) + + assert len(dl) == 3 # len(dataframe_dataset) / 2 = 6 /2 = 3 diff --git a/ts_diffusion/data.py b/ts_diffusion/data.py new file mode 100644 index 0000000..dc05a56 --- /dev/null +++ b/ts_diffusion/data.py @@ -0,0 +1,76 @@ +from torch.utils.data import DataLoader, Dataset +from typing import Optional + +import pandas as pd +import torch +from loguru import logger + + +class DataFrameDataset(Dataset): + """A dataset from a pandas dataframe + + :param dataframe: input dataframe with a DatetimeIndex. + :param input_length: length of input in time dimension + :param horizon: future length to be forecasted + """ + + def __init__(self, dataframe: pd.DataFrame, input_length: int, horizon: int): + super().__init__() + self.dataframe = dataframe + self.input_length = input_length + self.horizon = horizon + self.dataframe_rows = len(self.dataframe) + self.length = self.dataframe_rows - self.input_length - self.horizon + 1 + + def moving_slicing(self, idx): + + x, y = ( + self.dataframe[idx : self.input_length + idx].values, + self.dataframe[ + self.input_length + idx : self.input_length + self.horizon + idx + ].values, + ) + return x, y + + def _validate_dataframe(self): + """Validate the input dataframe. + - We require the dataframe index to be DatetimeIndex. + - This dataset is null aversion. + - Dataframe index should be sorted. + """ + + if not isinstance( + self.dataframe.index, pd.core.indexes.datetimes.DatetimeIndex + ): + raise TypeError( + f"Type of the dataframe index is not DatetimeIndex: {type(self.dataframe.index)}" + ) + + has_na = self.dataframe.isnull().values.any() + + if has_na: + logger.warning(f"Dataframe has null") + + has_index_sorted = self.dataframe.index.equals( + self.dataframe.index.sort_values() + ) + + if not has_index_sorted: + logger.warning(f"Dataframe index is not sorted") + + def __getitem__(self, idx): + if idx >= self.length: + raise IndexError("End of dataset") + return self.moving_slicing(idx) + + def __len__(self): + return self.length + + +def collate_convert_tensor(batch): + """batch first convention""" + + x = torch.tensor([b[0] for b in batch]) + y = torch.tensor([b[-1] for b in batch]) + + return x, y diff --git a/ts_diffusion/model.py b/ts_diffusion/model.py new file mode 100644 index 0000000..b7849f6 --- /dev/null +++ b/ts_diffusion/model.py @@ -0,0 +1,10 @@ +from torch import nn + + +class Sample(nn.Module): + def __init__(self) -> None: + super().__init__() + + def forward(self, batch): + + return batch