pydemetra/__init__.py,sha256=JtOcq0Fo-pHQv8KRxBwTCheMa2RHNQnEPzfJUwqRKGQ,5863
pydemetra/_converters.py,sha256=K5xSLz051eI7gBBAAjzOrk9VuvQwJv1zIeNf8IqwCSs,22227
pydemetra/_java.py,sha256=4Cf3NJ7M_-1AG8VAv6Bn_vDprQq2K-jWEnKfB_m92oA,4778
pydemetra/_models.py,sha256=XRFnY8u9musTqE1FfMJ68mwm9lUqx-ep3JBucN7v1Og,4112
pydemetra/_protobuf.py,sha256=NvpiTut2NwMchdpDmv0PdzL1cHZWyHcZ_D_qJIisaXk,1384
pydemetra/_results.py,sha256=SDL7MUng0y_ZwCo87VAee0eyAca9_HlLtP5vyBh2yTo,4993
pydemetra/arima.py,sha256=_Y7aOU_rIJN4clHeEqJTXUQYGTRsTDCMy3wJ1AKqUSY,16528
pydemetra/calendars.py,sha256=kolIKYFMTH2PPNbAzYyIbHI6ZLmfvoXspfJd5RAZgqM,11917
pydemetra/context.py,sha256=95KDzp7jOxZEPEpF79ehAlze6bOFP9nhBbK7TVwyZfc,886
pydemetra/decomposition.py,sha256=AUdY4EnQd40GCTecv1J8eXJESwY9SUuVhd9fpxW3NQA,977
pydemetra/dictionary.py,sha256=ckEgNjBN8Y0AXx034QEyYEJACJkxQhDgldGseHi8ioc,1366
pydemetra/differencing.py,sha256=AfrNp83JAJf5rBqrdfJt6oPIT9GQQOI_swLoCgGUULQ,5155
pydemetra/distributions.py,sha256=LgyPn1eCCwSKHUN7pbg7UiKhOmMDdlIm5sYXJasTy50,4650
pydemetra/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pydemetra/regarima.py,sha256=Je442ckHlKePnv0a_G00Y2LpA-uxwn72u-o4TEv_274,3080
pydemetra/splines.py,sha256=ahhLBtr_dBNpjgaTLpqLjeotHLhZsPPzk4L6ODC0_NQ,4886
pydemetra/timeseries.py,sha256=ukNldelir7USOgfSjtazG6fZy9vt6K1FKcobQVnuLtM,5712
pydemetra/tramoseats.py,sha256=G5d76KgI16WOcLv4YW5Oi3e2Fcz40uGnGa04CVszkY4,24640
pydemetra/variables.py,sha256=dkiXgLDRp5su5IfFTyyII_TY9GGmL4szYj0J0-3tbeE,14947
pydemetra/x13.py,sha256=tDGOA1fFOuq10o1udcqNGYhbiL1PVp1oieU2fMpbwxY,29312
pydemetra/_jars/jdplus-sa-base-api-3.6.0.jar,sha256=0t_tElD_TeITL7smZghzqFPForrYy3fZoIXEKM9xO4A,85910
pydemetra/_jars/jdplus-sa-base-core-3.6.0.jar,sha256=o38Y41AqPFUbm3gZFQDpxjYjzV1fO_UbvqN-0FGnkGU,215640
pydemetra/_jars/jdplus-sa-base-protobuf-3.6.0.jar,sha256=5oNr_DrzkDARxtY74uPwd5qkz9SqhPQn3DOs5j41XYM,93857
pydemetra/_jars/jdplus-sa-base-r-3.6.0.jar,sha256=E0VGtcqdqWjRwRy-rH_40gQGLpTMGC8Ew-xunnSpx-s,25411
pydemetra/_jars/jdplus-toolkit-base-api-3.6.0.jar,sha256=eXO6aTchwv-4ZWH3nduL6AtSN2saBhXUjw8DMFgM0Cw,838950
pydemetra/_jars/jdplus-toolkit-base-core-3.6.0.jar,sha256=A9S5-NBPsfpCB_TDlDF-N8OI7KYaGZy_DfQpwk09dn4,2142422
pydemetra/_jars/jdplus-toolkit-base-protobuf-3.6.0.jar,sha256=mEUvwYVCSEDzIPi3lp7Pl7VodYXLmV3lCxHxUwnSP3Q,862494
pydemetra/_jars/jdplus-toolkit-base-r-3.6.0.jar,sha256=A8Ler05Po6H1bQFjRMS3cHZlazvelHwa5zUMfVUlBmM,88555
pydemetra/_jars/jdplus-tramoseats-base-api-3.6.0.jar,sha256=DDrwwl1NyyK-QwipanLUhm7a8JRQaQm7tSqDjUPuPEo,91245
pydemetra/_jars/jdplus-tramoseats-base-core-3.6.0.jar,sha256=BN2Pu-N6RYMIO_C4n8XoMpK_kyFpp97fc4-0BwRtLcM,266811
pydemetra/_jars/jdplus-tramoseats-base-protobuf-3.6.0.jar,sha256=yn91X2s4UnkUt8QjnM7SDAxUxJvBssbTSaWrAtAwRlo,264576
pydemetra/_jars/jdplus-tramoseats-base-r-3.6.0.jar,sha256=Re_-dNLtUjBq9U9QFJAUeN5tZcn2sCDJc9OZmpOK6h0,26872
pydemetra/_jars/jdplus-x13-base-api-3.6.0.jar,sha256=YsqzdThIwAABw381MokmBF5iXxysUK37Kb2KexODg_A,99997
pydemetra/_jars/jdplus-x13-base-core-3.6.0.jar,sha256=DKWv59IydxSV_zxYPMamJASHSA7vUvwNB0KvUeP_VhA,257326
pydemetra/_jars/jdplus-x13-base-protobuf-3.6.0.jar,sha256=yIrfBGHAUhru0BxV699ch55_CEU5D7MnoGx7CazU_R4,379492
pydemetra/_jars/jdplus-x13-base-r-3.6.0.jar,sha256=Ep-JMvGgCKgYv6JRwejlXELl4GaejS7jNnflWjziP2M,23427
pydemetra/_jars/protobuf-java-4.33.1.jar,sha256=_Vzz1VvCw92yqGQMnUxp2qmlsyb7bgW64OVrP0-F4Pc,1886269
pydemetra/_proto/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pydemetra/_proto/modelling_pb2.py,sha256=SnzMWWKUatuyp2gm-FIbYjd8EEYGQXh4vrLHOmmJF2A,10048
pydemetra/_proto/modelling_pb2.pyi,sha256=1OYx1SU9CD34kLaAeQlT8AEh4r-nay9X6Lxtdicapq4,2396
pydemetra/_proto/outliers_pb2.py,sha256=bQbA_aNXR_VIhHCkm4NI3MxPiqzet_ocgr5rjc3NSt4,2323
pydemetra/_proto/regarima_pb2.py,sha256=ak0-3-LLHCIZ85st3Nbm2VTuGjj1N-nWND15Z9LKLg4,3390
pydemetra/_proto/regarima_pb2.pyi,sha256=bv-lfI2INnjHPF_ZvW_qRQBbDYfxohlyGyES3qRTV_E,1020
pydemetra/_proto/sa_pb2.py,sha256=1Ey7OxUNeaXEBm8Jt-NkZA6gg7qwKGNGDzLiIVvvQCs,6056
pydemetra/_proto/sa_pb2.pyi,sha256=SvmcMGCCwTdLH2KpkLte1qBEMebHifsn_BYuWeRbbqo,1076
pydemetra/_proto/toolkit_pb2.py,sha256=NEee1lmWpWnjqKyXbfnTeYLzlqirHeyBdqQ-AbG9wbI,17577
pydemetra/_proto/toolkit_pb2.pyi,sha256=vpXDCFB_yHiktnvoGWUSNQfA6MbAXZoNWCUXOJ-HQsk,3606
pydemetra/_proto/tramoseats_pb2.py,sha256=_VX4oVxhRslHz4LmvN2oUlp-OpXkRaoZh8XdcS7ff7w,11045
pydemetra/_proto/x13_pb2.py,sha256=VLzMeKgybsO93vsTWkhdd51zJEbWKdZiWI5igLeMCvo,16740
pydemetra/spec/__init__.py,sha256=-OS3wnzttemwcQNmdzGfZ0NhKNiGNBcXjjJIR7cS95E,280
pydemetra/spec/benchmarking.py,sha256=DCTnoPlzj-0NlcmYrESqyFRF9iThn3Wkq-nAW1qcgls,1258
pydemetra/spec/regarima.py,sha256=JbK2oc4jb71bSPCcAHWDOxBeBtfE_iKSe-lfh9yljyw,3325
pydemetra/tests_statistical/__init__.py,sha256=lRDr88rkF2ZlEx5FwzhANZdUBqrsBNTGD9DYNs7YKwE,1300
pydemetra/tests_statistical/regular.py,sha256=p7c5ygHwSUvoqtYXDXrdO5KJmKhcH4YJyHfRASV2ym8,5854
pydemetra/tests_statistical/seasonality.py,sha256=c2-aco4hcYLecEBXGh0FeZWjgWl2kDHW2aQ4G6FCNTA,8397
pydemetra/tests_statistical/trading_days.py,sha256=n4PfsRLpU2PoVeBbYrLCZ0PtVWahvIzOAFFaGftyuA4,2796
pydemetra-0.1.1.dist-info/licenses/LICENSE,sha256=b8nnCcy_4Nd_v_okJ6mDKCvi64jkexzbSfIag7TR5mU,13827
pydemetra-0.1.1.dist-info/METADATA,sha256=SdqqI6DAi3TOU_6GglwuT4G0hij916VCKr2fJW3_2TU,2879
pydemetra-0.1.1.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
pydemetra-0.1.1.dist-info/top_level.txt,sha256=r7YMOJX-cGgH9CNTNKyz2K0DYm9Pn5Ghiu4f8HDxTN8,10
pydemetra-0.1.1.dist-info/RECORD,,
