diff --git a/.github/nbval_sanitization_rules.cfg b/.github/nbval_sanitization_rules.cfg index 39e68811..315fd37a 100644 --- a/.github/nbval_sanitization_rules.cfg +++ b/.github/nbval_sanitization_rules.cfg @@ -47,7 +47,7 @@ regex: Your results will be stored in .* replace: Your results will be stored in NBVAL-OUTPUT-FOLDER [regex13] -regex: (\d+\.\d{8})\d+ +regex: (\d+\.\d{4})\d+ replace: \1 [regex14] @@ -57,3 +57,15 @@ replace: DIRECTORY-CREATION-OUTPUT [regex15] regex: ^\[WinError 183\].*:\s+'.*results'$ replace: DIRECTORY-CREATION-OUTPUT + +[regex_16] +regex: -0(\.0+)?(?!\d) +replace: 0.0 + +[regex17] +regex: .*chandrupatla\.py:\d+: RuntimeWarning: invalid value encountered in divide +replace: SCIPY-OPTIMIZATION-WARNING + +[regex18] +regex: ^\s*C = A / \(A \+ B\) +replace: diff --git a/.github/workflows/nbval.yaml b/.github/workflows/nbval.yaml index 48f23b9e..302ed433 100644 --- a/.github/workflows/nbval.yaml +++ b/.github/workflows/nbval.yaml @@ -176,6 +176,8 @@ jobs: pip install --timeout=300 -e .[test] pip install nbval global_land_mask dotenv imageio nrel-pysam pip install nbconvert[webpdf] + pip install --upgrade certifi + pip install pip-system-certs - name: Set batch notebooks run: | diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index e7706ca3..4386e3c9 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -29,6 +29,8 @@ jobs: run: | python -m pip install --progress-bar off --upgrade pip python -m pip install --progress-bar off ${{ matrix.env }} + pip install --upgrade certifi + pip install pip-system-certs - name: Test with pytest ${{ matrix.env }} run: | python -m pytest --maxfail=0 --cov=./ --cov-report=xml diff --git a/.github/workflows/testbook.yaml b/.github/workflows/testbook.yaml index 8cb2a8f7..ffbea5a9 100644 --- a/.github/workflows/testbook.yaml +++ b/.github/workflows/testbook.yaml @@ -28,8 +28,10 @@ jobs: python -m pip install --upgrade pip wheel pip install --timeout=300 -r tutorials/requirements.txt pip install --timeout=300 -e .[test] - pip install testbook - pip install global_land_mask dotenv imageio nrel-pysam + pip install --upgrade certifi + pip install pip-system-certs + pip install testbook nbval global_land_mask dotenv imageio nrel-pysam + pip install nbconvert[webpdf] - name: Run all testbook notebooks in one environment env: api_key: "DEMO_KEY" diff --git a/.gitignore b/.gitignore index 704282f8..569e5491 100644 --- a/.gitignore +++ b/.gitignore @@ -116,3 +116,4 @@ slurm-*.out tests\data\h5_pytest.h5 tests/TEMP_test_addModule_materials.py /tutorials_and_tools/tutorials_and_tools/pvd_job_temperature and degradation/pipeline_results +/tutorials/04_scenario/pvd_job_temperature and degradation/pipeline_results diff --git a/docs/source/whatsnew/releases/v0.7.1.rst b/docs/source/whatsnew/releases/v0.7.1.rst new file mode 100644 index 00000000..969a9904 --- /dev/null +++ b/docs/source/whatsnew/releases/v0.7.1.rst @@ -0,0 +1,29 @@ +v0.7.1 (XXXX-XX-XX) +=================== + +Breaking Changes +---------------- + + +Enhancements +------------ + + +Deprecations +------------- + + +Bug Fixes +--------- +- Fixed compatibility issues with pandas 3.0.0 and pvlib 0.14.0, including DataFrame + dtype changes and deprecated function calls. (:pull:`314`) + + +Dependencies +------------ + + +Contributors +------------ +- Rajiv Daxini (:ghuser:`rdaxini`) + diff --git a/pvdeg/data/O2permeation.json b/pvdeg/data/O2permeation.json index d3e18d90..858e86b7 100644 --- a/pvdeg/data/O2permeation.json +++ b/pvdeg/data/O2permeation.json @@ -8,12 +8,36 @@ "contributor": "Michael Kempe", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 30.48 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 0.0001421 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": -0.0272266 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 0.0003594 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 30.2107 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 441.26 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 30.48 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 0.0001421 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": -0.0272266 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 0.0003594 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 30.2107 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 441.26 + } }, "OX002": { "name": "ST504", @@ -21,25 +45,46 @@ "contributor": "Michael Kempe", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 47.603 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 0.554153 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": -11.5918 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 9.554366e-07 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 34.2011 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 2128.8937 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 47.603 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 0.554153 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": -11.5918 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 9.554366e-07 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 34.2011 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 2128.8937 + } }, "OX003": { - "name": "EVA", "alias": "EVA-1", - "contributor": "Michael Kempe", - "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 29.43112031 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 0.129061678 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": 16.6314948252219 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 0.136034525059804 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 49.1083457348515 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 528718258.338532 } + "Ead": 29.43112031, + "Do": 0.129061678, + "Eas": 16.6314948252219, + "So": 0.136034525059804, + "Eap": 49.1083457348515, + "Po": 528718258.338532 }, "OX004": { "name": "AAA polyamide backsheet", @@ -48,12 +93,36 @@ "source": "unpublished measurements", "comment": "This is the trilayer polyamide backsheet that saw cracking in the field after 3 or 4 years of exposure", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 37.41778528 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 24.10839436 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": -0.947566422 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 7.81445e-06 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 36.47021886 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 1627722.989 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 37.41778528 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 24.10839436 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": -0.947566422 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 7.81445e-06 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 36.47021886 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 1627722.989 + } }, "OX005": { "name": "Helioseal_101_dry", @@ -62,12 +131,36 @@ "comment": "This measurement is from a fresh film with active desiccant.", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 45.01267147 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 3.370970011 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": -3.528965263 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 5.25558996546881e-05 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 41.48370621 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 1530700.085 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 45.01267147 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 3.370970011 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": -3.528965263 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 5.25558996546881e-05 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 41.48370621 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 1530700.085 + } }, "OX006": { "name": "Helioseal_101_wet", @@ -76,12 +169,36 @@ "comment": "This measurement is after saturation with water.", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 50.75602972 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 37.24247609 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": -5.398392306 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 1.58555e-05 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 45.35763741 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 5101898.064 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 50.75602972 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 37.24247609 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": -5.398392306 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 1.58555e-05 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 45.35763741 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 5101898.064 + } }, "OX007": { "name": "LPO3_dry", @@ -90,12 +207,36 @@ "comment": "This measurement is from a fresh film with active desiccant.", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 40.99859372 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 0.690368586 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": 3.507719187 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 0.000543049 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 44.5738773 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 3287750.401 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 40.99859372 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 0.690368586 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": 3.507719187 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 0.000543049 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 44.5738773 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 3287750.401 + } }, "OX008": { "name": "LPO3_wet", @@ -104,12 +245,36 @@ "comment": "This measurement is after saturation with water.", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 48.73189239 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 10.50219391 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": -2.129673846 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 9.19588e-05 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 46.60221855 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 8344245.628 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 48.73189239 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 10.50219391 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": -2.129673846 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 9.19588e-05 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 46.60221855 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 8344245.628 + } }, "OX009": { "name": "Nagase_dry", @@ -118,12 +283,36 @@ "comment": "This measurement is from a fresh film with active desiccant.", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 47.53715467 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 11.22649621 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": 2.574465974 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 0.000433787 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 50.11162064 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 42076035.42 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 47.53715467 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 11.22649621 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": 2.574465974 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 0.000433787 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 50.11162064 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 42076035.42 + } }, "OX010": { "name": "Nagase_wet", @@ -132,12 +321,36 @@ "comment": "This measurement is after saturation with water.", "source": "unpublished measurements", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 42.09928821 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 0.973239619 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": 3.706124657 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 0.001037698 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 45.80541287 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 8725784.224 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 42.09928821 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 0.973239619 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": 3.706124657 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 0.001037698 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 45.80541287 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 8725784.224 + } }, "OX011": { "name": "Oppanol_B_200", @@ -145,12 +358,36 @@ "Source": "G. J. Van Amerongen, The Permeability of Different Rubbers to Gases and Its Relation to Diffusivity and Solubility, Journal of Applied Physics 17, 972 (1946); https://doi.org/10.1063/1.1707667", "alias": "PIB-lit", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 45.18908901 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 7.3 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": -0.418217328 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 0.000129043 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 44.77087169 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 8138979.958 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 45.18908901 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 7.3 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": -0.418217328 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 0.000129043 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 44.77087169 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 8138979.958 + } }, "OX012": { "name": "EVA", @@ -158,8 +395,16 @@ "contributor": "Michael Kempe", "source": "Urban Weber, Ralf Eiden, Christine Strubel, Thorsten Soegding, Markus Heiss, Peter Zachmann, Kurt Nattermann, Harry Engelmann, Annelene Dethlefsen, Norbert Lenck, Acetic Acid Production, Migration and Corrosion Effects in Ethylene-Vinyl-Acetate-(EVA-)Based PV Modules, 27th European Photovoltaic Solar Energy Conference and Exhibition.", "comment": "Extracted from Figure 10 of Weber et al. The activation energy does not exactly match that in the published work (25.4 kJ/mol). I did this because I wanted to include the prefactor.", - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 28.1814557950317 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 0.0331146659105106 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 28.1814557950317 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 0.0331146659105106 + } }, "OX013": { "name": "polyolefin elastomer (POE)", @@ -168,11 +413,35 @@ "source": "unpublished measurements", "comment": "This is a NREL laboratory formulation made similar to a typical EVA but using Dow Chemical Engage 8100, a poly ethylene octene copolymer, as the base resin.", "Fickian": true, - "Ead": { "name": "Diffusivity Activation Energy", "units": "kJ/mol", "value": 32.9383902685319 }, - "Do": { "name": "Diffusivity Prefactor", "units": "cm²/s", "value": 1.00914093168826 }, - "Eas": { "name": "Solubility Activation Energy", "units": "kJ/mol", "value": 6.33958717324394 }, - "So": { "name": "Solubility Prefactor", "units": "g/cm³/atm", "value": 0.00148313008211379 }, - "Eap": { "name": "Permeability Activation Energy", "units": "kJ/mol", "value": 39.2779774417758 }, - "Po": { "name": "Permeability Prefactor", "units": "g·mm/m²/day/atm", "value": 12931378.0376762 } + "Ead": { + "name": "Diffusivity Activation Energy", + "units": "kJ/mol", + "value": 32.9383902685319 + }, + "Do": { + "name": "Diffusivity Prefactor", + "units": "cm²/s", + "value": 1.00914093168826 + }, + "Eas": { + "name": "Solubility Activation Energy", + "units": "kJ/mol", + "value": 6.33958717324394 + }, + "So": { + "name": "Solubility Prefactor", + "units": "g/cm³/atm", + "value": 0.00148313008211379 + }, + "Eap": { + "name": "Permeability Activation Energy", + "units": "kJ/mol", + "value": 39.2779774417758 + }, + "Po": { + "name": "Permeability Prefactor", + "units": "g·mm/m²/day/atm", + "value": 12931378.0376762 + } } } diff --git a/pvdeg/diffusion.py b/pvdeg/diffusion.py index 9b9ad4d5..a6c8bfbd 100644 --- a/pvdeg/diffusion.py +++ b/pvdeg/diffusion.py @@ -129,35 +129,53 @@ def esdiffusion( print("Encapsulant material not found") if printout: try: - print("The edge seal is", esp.get("name"), ".") - print("The encapsulant is", encp.get("name"), ".") + # Handle both nested dict and flat dict formats + esp_name = ( + esp.get("name") + if isinstance(esp.get("name"), str) + else esp.get("name", {}).get("value", "Unknown") + ) + encp_name = ( + encp.get("name") + if isinstance(encp.get("name"), str) + else encp.get("name", {}).get("value", "Unknown") + ) + print("The edge seal is", esp_name, ".") + print("The encapsulant is", encp_name, ".") except Exception: print("Unknown material selected.") + # Helper function to extract values from nested or flat dicts + def _get_value(d, key, default=None): + val = d.get(key, default) + if isinstance(val, dict) and "value" in val: + return val["value"] + return val + # These are the edge seal oxygen or water permeation parameters if Dos is None: - Dos = esp.get("Do", {}).get("value") + Dos = _get_value(esp, "Do") if Eads is None: - Eads = esp.get("Ead", {}).get("value") / 0.0083144626 + Eads = _get_value(esp, "Ead") / 0.0083144626 else: Eads = Eads / 0.0083144626 if Sos is None: - Sos = esp.get("So", {}).get("value") * press + Sos = _get_value(esp, "So") * press if Eass is None: - Eass = esp.get("Eas", {}).get("value") / 0.0083144626 + Eass = _get_value(esp, "Eas") / 0.0083144626 else: Eass = Eass / 0.0083144626 # These are the encapsulant oxygen permeaiton parameters if Doe is None: - Doe = encp.get("Do", {}).get("value") + Doe = _get_value(encp, "Do") if Eade is None: - Eade = encp.get("Ead", {}).get("value") / 0.0083144626 + Eade = _get_value(encp, "Ead") / 0.0083144626 else: Eade = Eade / 0.0083144626 if Soe is None: - Soe = encp.get("So", {}).get("value") * press + Soe = _get_value(encp, "So") * press if Ease is None: - Ease = encp.get("Eas", {}).get("value") / 0.0083144626 + Ease = _get_value(encp, "Eas") / 0.0083144626 else: Ease = Ease / 0.0083144626 diff --git a/pvdeg/letid.py b/pvdeg/letid.py index d9f61b22..397a9550 100644 --- a/pvdeg/letid.py +++ b/pvdeg/letid.py @@ -952,7 +952,7 @@ def calc_letid_outdoors( meta : dict dict of location information for builidng a pvlib.Location object, e.g. from - psm3 data accessed via pvlib.iotools.read_psm3 + PSM3 data accessed via pvdeg.weather.read(file, 'csv') mechanism_params : str Dictionary of mechanism parameters. @@ -1007,7 +1007,7 @@ def calc_letid_outdoors( See also -------- pvlib.modelchain.ModelChain.run_model - pvlib.iotools.read_psm3 + pvdeg.weather.read pvlib.pvsystem.PVSystem pvlib.temperature """ diff --git a/pvdeg/utilities.py b/pvdeg/utilities.py index 5efbe57d..bfe8662b 100644 --- a/pvdeg/utilities.py +++ b/pvdeg/utilities.py @@ -486,6 +486,10 @@ def convert_tmy(file_in, file_out="h5_from_tmy.h5"): } meta = pd.DataFrame(meta) + # TODO: Make this work with new pandas string type. + for col in meta.select_dtypes(include=["string"]).columns: + meta[col] = meta[col].astype("object") + with Outputs(file_out, "w") as f: f.meta = meta f.time_index = time_index diff --git a/pvdeg/weather.py b/pvdeg/weather.py index 736c6b04..3b2bebd3 100644 --- a/pvdeg/weather.py +++ b/pvdeg/weather.py @@ -289,11 +289,9 @@ def read(file_in, file_type, map_variables=True, find_meta=False, **kwargs): file_type = file_type.upper() if file_type in ["PSM3", "PSM"]: - weather_df, meta = iotools.read_psm3(filename=file_in, map_variables=True) + weather_df, meta = csv_read(filename=file_in) elif file_type in ["TMY3", "TMY"]: - weather_df, meta = iotools.read_tmy3( - filename=file_in - ) # map variable not worki - check pvlib for map_variables + weather_df, meta = iotools.read_tmy3(filename=file_in) elif file_type == "EPW": weather_df, meta = iotools.read_epw(filename=file_in) elif file_type == "H5": diff --git a/tests/test_humidity.py b/tests/test_humidity.py index 80900c33..9cc6545b 100644 --- a/tests/test_humidity.py +++ b/tests/test_humidity.py @@ -64,11 +64,11 @@ def test_water_saturation_pressure_mean(): temp=WEATHER["temp_air"] ) assert water_saturation_pressure_avg[1] == pytest.approx(0.47607, abs=5e-5) - assert water_saturation_pressure_avg[0][0] == pytest.approx(0.469731, abs=5e-5) - assert water_saturation_pressure_avg[0][1] == pytest.approx(0.465908, abs=5e-5) - assert water_saturation_pressure_avg[0][2] == pytest.approx(0.462112, abs=5e-5) - assert water_saturation_pressure_avg[0][3] == pytest.approx(0.462112, abs=5e-5) - assert water_saturation_pressure_avg[0][4] == pytest.approx(0.458343, abs=5e-5) + assert water_saturation_pressure_avg[0].iloc[0] == pytest.approx(0.469731, abs=5e-5) + assert water_saturation_pressure_avg[0].iloc[1] == pytest.approx(0.465908, abs=5e-5) + assert water_saturation_pressure_avg[0].iloc[2] == pytest.approx(0.462112, abs=5e-5) + assert water_saturation_pressure_avg[0].iloc[3] == pytest.approx(0.462112, abs=5e-5) + assert water_saturation_pressure_avg[0].iloc[4] == pytest.approx(0.458343, abs=5e-5) def test_water_saturation_pressure_individual_points(): @@ -81,11 +81,11 @@ def test_water_saturation_pressure_individual_points(): water_saturation_pressure = pvdeg.humidity.water_saturation_pressure( temp=WEATHER["temp_air"], average=False ) - assert water_saturation_pressure[0] == pytest.approx(0.469731, abs=5e-5) - assert water_saturation_pressure[1] == pytest.approx(0.465908, abs=5e-5) - assert water_saturation_pressure[2] == pytest.approx(0.462112, abs=5e-5) - assert water_saturation_pressure[3] == pytest.approx(0.462112, abs=5e-5) - assert water_saturation_pressure[4] == pytest.approx(0.458343, abs=5e-5) + assert water_saturation_pressure.iloc[0] == pytest.approx(0.469731, abs=5e-5) + assert water_saturation_pressure.iloc[1] == pytest.approx(0.465908, abs=5e-5) + assert water_saturation_pressure.iloc[2] == pytest.approx(0.462112, abs=5e-5) + assert water_saturation_pressure.iloc[3] == pytest.approx(0.462112, abs=5e-5) + assert water_saturation_pressure.iloc[4] == pytest.approx(0.458343, abs=5e-5) def test_module(): @@ -174,7 +174,7 @@ def test_module_edge_cases(): "dni": [0, 900, 400], "dhi": [0, 100, 100], }, - index=pd.date_range("2020-01-01", periods=3, freq="H"), + index=pd.date_range("2020-01-01", periods=3, freq="h"), ) meta = {"latitude": 40, "longitude": -105, "altitude": 1600} result = pvdeg.humidity.module( diff --git a/tests/test_utilities.py b/tests/test_utilities.py index df466ade..0d514dda 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -403,7 +403,7 @@ def test_new_id(): def test_strip_normalize_tmy(): - idx = pd.date_range("2023-01-01 00:00", periods=24, freq="H", tz="UTC") + idx = pd.date_range("2023-01-01 00:00", periods=24, freq="h", tz="UTC") df = pd.DataFrame({"ghi": range(24)}, index=idx) start = idx[5].to_pydatetime() end = idx[10].to_pydatetime() diff --git a/tutorials/01_basics/01_basics_humidity_design.ipynb b/tutorials/01_basics/01_basics_humidity_design.ipynb index 889b33be..2def63e9 100644 --- a/tutorials/01_basics/01_basics_humidity_design.ipynb +++ b/tutorials/01_basics/01_basics_humidity_design.ipynb @@ -20,13 +20,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:12.489520Z", - "iopub.status.busy": "2025-10-03T22:55:12.488515Z", - "iopub.status.idle": "2025-10-03T22:55:12.494024Z", - "shell.execute_reply": "2025-10-03T22:55:12.494024Z" + "iopub.execute_input": "2026-02-03T17:29:59.074684Z", + "iopub.status.busy": "2026-02-03T17:29:59.073417Z", + "iopub.status.idle": "2026-02-03T17:29:59.092515Z", + "shell.execute_reply": "2026-02-03T17:29:59.089181Z" } }, "outputs": [], @@ -40,10 +40,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:12.497028Z", - "iopub.status.busy": "2025-10-03T22:55:12.497028Z", - "iopub.status.idle": "2025-10-03T22:55:18.966107Z", - "shell.execute_reply": "2025-10-03T22:55:18.965102Z" + "iopub.execute_input": "2026-02-03T17:29:59.099540Z", + "iopub.status.busy": "2026-02-03T17:29:59.098627Z", + "iopub.status.idle": "2026-02-03T17:30:15.661434Z", + "shell.execute_reply": "2026-02-03T17:30:15.657396Z" } }, "outputs": [], @@ -60,10 +60,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:18.969110Z", - "iopub.status.busy": "2025-10-03T22:55:18.969110Z", - "iopub.status.idle": "2025-10-03T22:55:18.977151Z", - "shell.execute_reply": "2025-10-03T22:55:18.977151Z" + "iopub.execute_input": "2026-02-03T17:30:15.676622Z", + "iopub.status.busy": "2026-02-03T17:30:15.671092Z", + "iopub.status.idle": "2026-02-03T17:30:15.693486Z", + "shell.execute_reply": "2026-02-03T17:30:15.689402Z" } }, "outputs": [ @@ -72,9 +72,9 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.12.9 | packaged by Anaconda, Inc. | (main, Feb 6 2025, 18:49:16) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.2.3\n", - "pvdeg version 0.5.1.dev623+g51cc68b8e.d20250905\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -117,10 +117,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.005353Z", - "iopub.status.busy": "2025-10-03T22:55:19.005353Z", - "iopub.status.idle": "2025-10-03T22:55:19.252820Z", - "shell.execute_reply": "2025-10-03T22:55:19.251738Z" + "iopub.execute_input": "2026-02-03T17:30:15.807665Z", + "iopub.status.busy": "2026-02-03T17:30:15.806672Z", + "iopub.status.idle": "2026-02-03T17:30:15.983369Z", + "shell.execute_reply": "2026-02-03T17:30:15.979008Z" } }, "outputs": [], @@ -142,10 +142,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.255830Z", - "iopub.status.busy": "2025-10-03T22:55:19.255830Z", - "iopub.status.idle": "2025-10-03T22:55:19.280510Z", - "shell.execute_reply": "2025-10-03T22:55:19.280510Z" + "iopub.execute_input": "2026-02-03T17:30:15.993117Z", + "iopub.status.busy": "2026-02-03T17:30:15.991549Z", + "iopub.status.idle": "2026-02-03T17:30:16.056427Z", + "shell.execute_reply": "2026-02-03T17:30:16.052635Z" } }, "outputs": [ @@ -301,10 +301,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.283657Z", - "iopub.status.busy": "2025-10-03T22:55:19.283657Z", - "iopub.status.idle": "2025-10-03T22:55:19.287921Z", - "shell.execute_reply": "2025-10-03T22:55:19.287921Z" + "iopub.execute_input": "2026-02-03T17:30:16.066007Z", + "iopub.status.busy": "2026-02-03T17:30:16.064731Z", + "iopub.status.idle": "2026-02-03T17:30:16.084893Z", + "shell.execute_reply": "2026-02-03T17:30:16.081510Z" } }, "outputs": [ @@ -312,7 +312,7 @@ "data": { "text/plain": [ "{'Source': 'NSRDB',\n", - " 'Location ID': '145809',\n", + " 'Location ID': 145809.0,\n", " 'City': '-',\n", " 'State': '-',\n", " 'Country': '-',\n", @@ -354,8 +354,8 @@ " 'Version': '3.0.6',\n", " 'latitude': 39.73,\n", " 'longitude': -105.18,\n", - " 'altitude': 1820,\n", - " 'tz': -7}" + " 'tz': -7.0,\n", + " 'altitude': 1820.0}" ] }, "execution_count": 6, @@ -385,10 +385,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.289935Z", - "iopub.status.busy": "2025-10-03T22:55:19.289935Z", - "iopub.status.idle": "2025-10-03T22:55:19.313175Z", - "shell.execute_reply": "2025-10-03T22:55:19.313175Z" + "iopub.execute_input": "2026-02-03T17:30:16.095678Z", + "iopub.status.busy": "2026-02-03T17:30:16.094163Z", + "iopub.status.idle": "2026-02-03T17:30:16.167828Z", + "shell.execute_reply": "2026-02-03T17:30:16.163814Z" } }, "outputs": [ @@ -644,10 +644,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.315610Z", - "iopub.status.busy": "2025-10-03T22:55:19.314620Z", - "iopub.status.idle": "2025-10-03T22:55:19.331481Z", - "shell.execute_reply": "2025-10-03T22:55:19.331481Z" + "iopub.execute_input": "2026-02-03T17:30:16.177556Z", + "iopub.status.busy": "2026-02-03T17:30:16.175930Z", + "iopub.status.idle": "2026-02-03T17:30:16.245606Z", + "shell.execute_reply": "2026-02-03T17:30:16.241825Z" } }, "outputs": [ @@ -904,10 +904,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.334494Z", - "iopub.status.busy": "2025-10-03T22:55:19.333491Z", - "iopub.status.idle": "2025-10-03T22:55:19.348496Z", - "shell.execute_reply": "2025-10-03T22:55:19.348496Z" + "iopub.execute_input": "2026-02-03T17:30:16.254987Z", + "iopub.status.busy": "2026-02-03T17:30:16.253590Z", + "iopub.status.idle": "2026-02-03T17:30:16.310126Z", + "shell.execute_reply": "2026-02-03T17:30:16.306698Z" } }, "outputs": [ @@ -1185,10 +1185,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.350890Z", - "iopub.status.busy": "2025-10-03T22:55:19.350890Z", - "iopub.status.idle": "2025-10-03T22:55:19.479022Z", - "shell.execute_reply": "2025-10-03T22:55:19.479022Z" + "iopub.execute_input": "2026-02-03T17:30:16.319276Z", + "iopub.status.busy": "2026-02-03T17:30:16.318119Z", + "iopub.status.idle": "2026-02-03T17:30:16.670131Z", + "shell.execute_reply": "2026-02-03T17:30:16.666261Z" } }, "outputs": [ @@ -1229,10 +1229,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.482485Z", - "iopub.status.busy": "2025-10-03T22:55:19.481485Z", - "iopub.status.idle": "2025-10-03T22:55:19.491909Z", - "shell.execute_reply": "2025-10-03T22:55:19.491909Z" + "iopub.execute_input": "2026-02-03T17:30:16.680695Z", + "iopub.status.busy": "2026-02-03T17:30:16.679276Z", + "iopub.status.idle": "2026-02-03T17:30:16.719035Z", + "shell.execute_reply": "2026-02-03T17:30:16.715350Z" } }, "outputs": [ @@ -1421,10 +1421,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.493919Z", - "iopub.status.busy": "2025-10-03T22:55:19.493919Z", - "iopub.status.idle": "2025-10-03T22:55:19.507644Z", - "shell.execute_reply": "2025-10-03T22:55:19.507644Z" + "iopub.execute_input": "2026-02-03T17:30:16.730122Z", + "iopub.status.busy": "2026-02-03T17:30:16.728610Z", + "iopub.status.idle": "2026-02-03T17:30:16.771273Z", + "shell.execute_reply": "2026-02-03T17:30:16.767391Z" } }, "outputs": [ @@ -1546,10 +1546,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.509662Z", - "iopub.status.busy": "2025-10-03T22:55:19.509662Z", - "iopub.status.idle": "2025-10-03T22:55:19.516930Z", - "shell.execute_reply": "2025-10-03T22:55:19.516930Z" + "iopub.execute_input": "2026-02-03T17:30:16.782755Z", + "iopub.status.busy": "2026-02-03T17:30:16.781104Z", + "iopub.status.idle": "2026-02-03T17:30:16.811964Z", + "shell.execute_reply": "2026-02-03T17:30:16.807055Z" } }, "outputs": [ @@ -1602,10 +1602,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:19.519872Z", - "iopub.status.busy": "2025-10-03T22:55:19.519872Z", - "iopub.status.idle": "2025-10-03T22:55:20.376339Z", - "shell.execute_reply": "2025-10-03T22:55:20.374332Z" + "iopub.execute_input": "2026-02-03T17:30:16.823479Z", + "iopub.status.busy": "2026-02-03T17:30:16.822308Z", + "iopub.status.idle": "2026-02-03T17:30:18.547776Z", + "shell.execute_reply": "2026-02-03T17:30:18.543513Z" } }, "outputs": [ @@ -1734,10 +1734,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:20.378338Z", - "iopub.status.busy": "2025-10-03T22:55:20.378338Z", - "iopub.status.idle": "2025-10-03T22:55:20.910228Z", - "shell.execute_reply": "2025-10-03T22:55:20.909587Z" + "iopub.execute_input": "2026-02-03T17:30:18.557368Z", + "iopub.status.busy": "2026-02-03T17:30:18.556149Z", + "iopub.status.idle": "2026-02-03T17:30:19.981282Z", + "shell.execute_reply": "2026-02-03T17:30:19.977899Z" } }, "outputs": [], @@ -1781,10 +1781,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:20.913240Z", - "iopub.status.busy": "2025-10-03T22:55:20.913240Z", - "iopub.status.idle": "2025-10-03T22:55:20.918522Z", - "shell.execute_reply": "2025-10-03T22:55:20.918522Z" + "iopub.execute_input": "2026-02-03T17:30:19.988757Z", + "iopub.status.busy": "2026-02-03T17:30:19.987705Z", + "iopub.status.idle": "2026-02-03T17:30:20.008509Z", + "shell.execute_reply": "2026-02-03T17:30:20.006058Z" } }, "outputs": [ @@ -1818,10 +1818,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:20.921534Z", - "iopub.status.busy": "2025-10-03T22:55:20.920533Z", - "iopub.status.idle": "2025-10-03T22:55:20.926782Z", - "shell.execute_reply": "2025-10-03T22:55:20.926782Z" + "iopub.execute_input": "2026-02-03T17:30:20.016093Z", + "iopub.status.busy": "2026-02-03T17:30:20.015135Z", + "iopub.status.idle": "2026-02-03T17:30:20.034974Z", + "shell.execute_reply": "2026-02-03T17:30:20.032136Z" } }, "outputs": [ @@ -1860,10 +1860,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:20.928676Z", - "iopub.status.busy": "2025-10-03T22:55:20.928676Z", - "iopub.status.idle": "2025-10-03T22:55:20.933957Z", - "shell.execute_reply": "2025-10-03T22:55:20.933957Z" + "iopub.execute_input": "2026-02-03T17:30:20.044561Z", + "iopub.status.busy": "2026-02-03T17:30:20.043404Z", + "iopub.status.idle": "2026-02-03T17:30:20.066854Z", + "shell.execute_reply": "2026-02-03T17:30:20.063932Z" } }, "outputs": [ @@ -1902,7 +1902,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/01_basics/02_degradation.ipynb b/tutorials/01_basics/02_degradation.ipynb index 44bfb329..95708d8f 100644 --- a/tutorials/01_basics/02_degradation.ipynb +++ b/tutorials/01_basics/02_degradation.ipynb @@ -26,13 +26,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:24.458885Z", - "iopub.status.busy": "2025-10-03T22:55:24.457871Z", - "iopub.status.idle": "2025-10-03T22:55:24.462850Z", - "shell.execute_reply": "2025-10-03T22:55:24.462850Z" + "iopub.execute_input": "2026-02-03T17:30:42.240713Z", + "iopub.status.busy": "2026-02-03T17:30:42.239499Z", + "iopub.status.idle": "2026-02-03T17:30:42.257368Z", + "shell.execute_reply": "2026-02-03T17:30:42.254698Z" } }, "outputs": [], @@ -46,10 +46,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:24.464854Z", - "iopub.status.busy": "2025-10-03T22:55:24.464854Z", - "iopub.status.idle": "2025-10-03T22:55:30.042422Z", - "shell.execute_reply": "2025-10-03T22:55:30.041916Z" + "iopub.execute_input": "2026-02-03T17:30:42.266994Z", + "iopub.status.busy": "2026-02-03T17:30:42.265736Z", + "iopub.status.idle": "2026-02-03T17:30:57.817256Z", + "shell.execute_reply": "2026-02-03T17:30:57.813211Z" } }, "outputs": [], @@ -66,10 +66,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.045495Z", - "iopub.status.busy": "2025-10-03T22:55:30.045495Z", - "iopub.status.idle": "2025-10-03T22:55:30.054773Z", - "shell.execute_reply": "2025-10-03T22:55:30.054259Z" + "iopub.execute_input": "2026-02-03T17:30:57.826564Z", + "iopub.status.busy": "2026-02-03T17:30:57.824070Z", + "iopub.status.idle": "2026-02-03T17:30:57.840068Z", + "shell.execute_reply": "2026-02-03T17:30:57.836856Z" } }, "outputs": [ @@ -78,9 +78,9 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.12.9 | packaged by Anaconda, Inc. | (main, Feb 6 2025, 18:49:16) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.2.3\n", - "pvdeg version 0.5.1.dev623+g51cc68b8e.d20250905\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -109,10 +109,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.057783Z", - "iopub.status.busy": "2025-10-03T22:55:30.056781Z", - "iopub.status.idle": "2025-10-03T22:55:30.288016Z", - "shell.execute_reply": "2025-10-03T22:55:30.287006Z" + "iopub.execute_input": "2026-02-03T17:30:57.940324Z", + "iopub.status.busy": "2026-02-03T17:30:57.939108Z", + "iopub.status.idle": "2026-02-03T17:30:58.086359Z", + "shell.execute_reply": "2026-02-03T17:30:58.082460Z" } }, "outputs": [], @@ -135,10 +135,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.290024Z", - "iopub.status.busy": "2025-10-03T22:55:30.290024Z", - "iopub.status.idle": "2025-10-03T22:55:30.361878Z", - "shell.execute_reply": "2025-10-03T22:55:30.361092Z" + "iopub.execute_input": "2026-02-03T17:30:58.096171Z", + "iopub.status.busy": "2026-02-03T17:30:58.095062Z", + "iopub.status.idle": "2026-02-03T17:30:58.225048Z", + "shell.execute_reply": "2026-02-03T17:30:58.220812Z" } }, "outputs": [ @@ -181,10 +181,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.364894Z", - "iopub.status.busy": "2025-10-03T22:55:30.364894Z", - "iopub.status.idle": "2025-10-03T22:55:30.371951Z", - "shell.execute_reply": "2025-10-03T22:55:30.371951Z" + "iopub.execute_input": "2026-02-03T17:30:58.235196Z", + "iopub.status.busy": "2026-02-03T17:30:58.233877Z", + "iopub.status.idle": "2026-02-03T17:30:58.258565Z", + "shell.execute_reply": "2026-02-03T17:30:58.253995Z" } }, "outputs": [], @@ -233,10 +233,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.374960Z", - "iopub.status.busy": "2025-10-03T22:55:30.373960Z", - "iopub.status.idle": "2025-10-03T22:55:30.385448Z", - "shell.execute_reply": "2025-10-03T22:55:30.385448Z" + "iopub.execute_input": "2026-02-03T17:30:58.268544Z", + "iopub.status.busy": "2026-02-03T17:30:58.267389Z", + "iopub.status.idle": "2026-02-03T17:30:58.302700Z", + "shell.execute_reply": "2026-02-03T17:30:58.298870Z" } }, "outputs": [], @@ -288,10 +288,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.388458Z", - "iopub.status.busy": "2025-10-03T22:55:30.388458Z", - "iopub.status.idle": "2025-10-03T22:55:30.498053Z", - "shell.execute_reply": "2025-10-03T22:55:30.498053Z" + "iopub.execute_input": "2026-02-03T17:30:58.315188Z", + "iopub.status.busy": "2026-02-03T17:30:58.313300Z", + "iopub.status.idle": "2026-02-03T17:30:58.537415Z", + "shell.execute_reply": "2026-02-03T17:30:58.533762Z" } }, "outputs": [ @@ -327,10 +327,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.501263Z", - "iopub.status.busy": "2025-10-03T22:55:30.501263Z", - "iopub.status.idle": "2025-10-03T22:55:30.606680Z", - "shell.execute_reply": "2025-10-03T22:55:30.606680Z" + "iopub.execute_input": "2026-02-03T17:30:58.546118Z", + "iopub.status.busy": "2026-02-03T17:30:58.544928Z", + "iopub.status.idle": "2026-02-03T17:30:58.761067Z", + "shell.execute_reply": "2026-02-03T17:30:58.757326Z" } }, "outputs": [ @@ -381,10 +381,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.609690Z", - "iopub.status.busy": "2025-10-03T22:55:30.608694Z", - "iopub.status.idle": "2025-10-03T22:55:30.681430Z", - "shell.execute_reply": "2025-10-03T22:55:30.680690Z" + "iopub.execute_input": "2026-02-03T17:30:58.770629Z", + "iopub.status.busy": "2026-02-03T17:30:58.769516Z", + "iopub.status.idle": "2026-02-03T17:30:58.940309Z", + "shell.execute_reply": "2026-02-03T17:30:58.937199Z" } }, "outputs": [ @@ -418,10 +418,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T22:55:30.683440Z", - "iopub.status.busy": "2025-10-03T22:55:30.683440Z", - "iopub.status.idle": "2025-10-03T22:55:30.719161Z", - "shell.execute_reply": "2025-10-03T22:55:30.719161Z" + "iopub.execute_input": "2026-02-03T17:30:58.948702Z", + "iopub.status.busy": "2026-02-03T17:30:58.947374Z", + "iopub.status.idle": "2026-02-03T17:30:59.039248Z", + "shell.execute_reply": "2026-02-03T17:30:59.035178Z" } }, "outputs": [ @@ -469,7 +469,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/01_basics/03_spectral_degradation.ipynb b/tutorials/01_basics/03_spectral_degradation.ipynb index 7ff5631c..ded8bb1f 100644 --- a/tutorials/01_basics/03_spectral_degradation.ipynb +++ b/tutorials/01_basics/03_spectral_degradation.ipynb @@ -20,13 +20,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-11-21T20:32:56.206250Z", - "iopub.status.busy": "2025-11-21T20:32:56.205909Z", - "iopub.status.idle": "2025-11-21T20:32:56.213170Z", - "shell.execute_reply": "2025-11-21T20:32:56.212214Z" + "iopub.execute_input": "2026-02-03T17:31:22.894756Z", + "iopub.status.busy": "2026-02-03T17:31:22.893474Z", + "iopub.status.idle": "2026-02-03T17:31:22.913353Z", + "shell.execute_reply": "2026-02-03T17:31:22.909858Z" } }, "outputs": [], @@ -40,10 +40,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-11-21T20:32:56.215780Z", - "iopub.status.busy": "2025-11-21T20:32:56.215510Z", - "iopub.status.idle": "2025-11-21T20:33:01.704879Z", - "shell.execute_reply": "2025-11-21T20:33:01.703248Z" + "iopub.execute_input": "2026-02-03T17:31:22.922171Z", + "iopub.status.busy": "2026-02-03T17:31:22.920983Z", + "iopub.status.idle": "2026-02-03T17:31:38.842844Z", + "shell.execute_reply": "2026-02-03T17:31:38.838204Z" } }, "outputs": [], @@ -65,10 +65,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-11-21T20:33:01.708239Z", - "iopub.status.busy": "2025-11-21T20:33:01.707394Z", - "iopub.status.idle": "2025-11-21T20:33:01.713731Z", - "shell.execute_reply": "2025-11-21T20:33:01.712494Z" + "iopub.execute_input": "2026-02-03T17:31:38.856136Z", + "iopub.status.busy": "2026-02-03T17:31:38.853558Z", + "iopub.status.idle": "2026-02-03T17:31:38.875018Z", + "shell.execute_reply": "2026-02-03T17:31:38.871103Z" } }, "outputs": [ @@ -77,9 +77,9 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.13.5 | packaged by Anaconda, Inc. | (main, Jun 12 2025, 16:37:03) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.3.3\n", - "pvdeg version 0.5.1.dev857+g1a511e445.d20251004\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -117,10 +117,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-11-21T20:33:01.745463Z", - "iopub.status.busy": "2025-11-21T20:33:01.744998Z", - "iopub.status.idle": "2025-11-21T20:33:01.761746Z", - "shell.execute_reply": "2025-11-21T20:33:01.760709Z" + "iopub.execute_input": "2026-02-03T17:31:38.974601Z", + "iopub.status.busy": "2026-02-03T17:31:38.973226Z", + "iopub.status.idle": "2026-02-03T17:31:39.028730Z", + "shell.execute_reply": "2026-02-03T17:31:39.025268Z" } }, "outputs": [ @@ -235,10 +235,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-11-21T20:33:01.764386Z", - "iopub.status.busy": "2025-11-21T20:33:01.764062Z", - "iopub.status.idle": "2025-11-21T20:33:01.771531Z", - "shell.execute_reply": "2025-11-21T20:33:01.770906Z" + "iopub.execute_input": "2026-02-03T17:31:39.039109Z", + "iopub.status.busy": "2026-02-03T17:31:39.037842Z", + "iopub.status.idle": "2026-02-03T17:31:39.074213Z", + "shell.execute_reply": "2026-02-03T17:31:39.070244Z" } }, "outputs": [ @@ -277,7 +277,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.5" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/02_degradation/01_bo_lid_accelerated_test.ipynb b/tutorials/02_degradation/01_bo_lid_accelerated_test.ipynb index 87d53755..dd605559 100644 --- a/tutorials/02_degradation/01_bo_lid_accelerated_test.ipynb +++ b/tutorials/02_degradation/01_bo_lid_accelerated_test.ipynb @@ -23,13 +23,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:07.846379Z", - "iopub.status.busy": "2025-11-13T21:54:07.845378Z", - "iopub.status.idle": "2025-11-13T21:54:07.851901Z", - "shell.execute_reply": "2025-11-13T21:54:07.851901Z" + "iopub.execute_input": "2026-02-03T17:32:53.014577Z", + "iopub.status.busy": "2026-02-03T17:32:53.013350Z", + "iopub.status.idle": "2026-02-03T17:32:53.039020Z", + "shell.execute_reply": "2026-02-03T17:32:53.035188Z" } }, "outputs": [], @@ -43,10 +43,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:07.854906Z", - "iopub.status.busy": "2025-11-13T21:54:07.853906Z", - "iopub.status.idle": "2025-11-13T21:54:16.365292Z", - "shell.execute_reply": "2025-11-13T21:54:16.365292Z" + "iopub.execute_input": "2026-02-03T17:32:53.049573Z", + "iopub.status.busy": "2026-02-03T17:32:53.047724Z", + "iopub.status.idle": "2026-02-03T17:33:09.030523Z", + "shell.execute_reply": "2026-02-03T17:33:09.026273Z" } }, "outputs": [], @@ -65,10 +65,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.368607Z", - "iopub.status.busy": "2025-11-13T21:54:16.368607Z", - "iopub.status.idle": "2025-11-13T21:54:16.376782Z", - "shell.execute_reply": "2025-11-13T21:54:16.376782Z" + "iopub.execute_input": "2026-02-03T17:33:09.041901Z", + "iopub.status.busy": "2026-02-03T17:33:09.039498Z", + "iopub.status.idle": "2026-02-03T17:33:09.062556Z", + "shell.execute_reply": "2026-02-03T17:33:09.058362Z" } }, "outputs": [ @@ -77,10 +77,10 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.12.9 | packaged by Anaconda, Inc. | (main, Feb 6 2025, 18:49:16) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.2.3\n", - "pvlib version 0.13.0\n", - "pvdeg version 0.5.1.dev623+g51cc68b8e.d20250905\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvlib version 0.14.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -110,10 +110,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.421040Z", - "iopub.status.busy": "2025-11-13T21:54:16.421040Z", - "iopub.status.idle": "2025-11-13T21:54:16.425256Z", - "shell.execute_reply": "2025-11-13T21:54:16.425256Z" + "iopub.execute_input": "2026-02-03T17:33:09.168439Z", + "iopub.status.busy": "2026-02-03T17:33:09.167291Z", + "iopub.status.idle": "2026-02-03T17:33:09.181802Z", + "shell.execute_reply": "2026-02-03T17:33:09.176384Z" } }, "outputs": [], @@ -137,10 +137,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.428270Z", - "iopub.status.busy": "2025-11-13T21:54:16.428270Z", - "iopub.status.idle": "2025-11-13T21:54:16.911175Z", - "shell.execute_reply": "2025-11-13T21:54:16.911175Z" + "iopub.execute_input": "2026-02-03T17:33:09.191615Z", + "iopub.status.busy": "2026-02-03T17:33:09.190434Z", + "iopub.status.idle": "2026-02-03T17:33:10.134268Z", + "shell.execute_reply": "2026-02-03T17:33:10.129350Z" } }, "outputs": [], @@ -167,10 +167,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.914186Z", - "iopub.status.busy": "2025-11-13T21:54:16.914186Z", - "iopub.status.idle": "2025-11-13T21:54:16.917057Z", - "shell.execute_reply": "2025-11-13T21:54:16.917057Z" + "iopub.execute_input": "2026-02-03T17:33:10.145973Z", + "iopub.status.busy": "2026-02-03T17:33:10.144120Z", + "iopub.status.idle": "2026-02-03T17:33:10.158286Z", + "shell.execute_reply": "2026-02-03T17:33:10.154150Z" } }, "outputs": [], @@ -191,10 +191,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.919067Z", - "iopub.status.busy": "2025-11-13T21:54:16.919067Z", - "iopub.status.idle": "2025-11-13T21:54:16.938346Z", - "shell.execute_reply": "2025-11-13T21:54:16.937338Z" + "iopub.execute_input": "2026-02-03T17:33:10.168154Z", + "iopub.status.busy": "2026-02-03T17:33:10.166923Z", + "iopub.status.idle": "2026-02-03T17:33:10.234557Z", + "shell.execute_reply": "2026-02-03T17:33:10.230337Z" } }, "outputs": [ @@ -202,8 +202,8 @@ "data": { "text/plain": [ "(np.float64(0.03495240755084558),\n", - " np.float64(5.663466529792824),\n", - " np.float64(5.465514739492932))" + " np.float64(5.663466529792825),\n", + " np.float64(5.465514739492933))" ] }, "execution_count": 7, @@ -233,10 +233,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.940489Z", - "iopub.status.busy": "2025-11-13T21:54:16.940489Z", - "iopub.status.idle": "2025-11-13T21:54:16.944100Z", - "shell.execute_reply": "2025-11-13T21:54:16.944100Z" + "iopub.execute_input": "2026-02-03T17:33:10.244925Z", + "iopub.status.busy": "2026-02-03T17:33:10.243186Z", + "iopub.status.idle": "2026-02-03T17:33:10.258100Z", + "shell.execute_reply": "2026-02-03T17:33:10.254688Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.946216Z", - "iopub.status.busy": "2025-11-13T21:54:16.946216Z", - "iopub.status.idle": "2025-11-13T21:54:16.951621Z", - "shell.execute_reply": "2025-11-13T21:54:16.951621Z" + "iopub.execute_input": "2026-02-03T17:33:10.269293Z", + "iopub.status.busy": "2026-02-03T17:33:10.267708Z", + "iopub.status.idle": "2026-02-03T17:33:10.292655Z", + "shell.execute_reply": "2026-02-03T17:33:10.288260Z" } }, "outputs": [ @@ -324,10 +324,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.954627Z", - "iopub.status.busy": "2025-11-13T21:54:16.954627Z", - "iopub.status.idle": "2025-11-13T21:54:16.958966Z", - "shell.execute_reply": "2025-11-13T21:54:16.958966Z" + "iopub.execute_input": "2026-02-03T17:33:10.303512Z", + "iopub.status.busy": "2026-02-03T17:33:10.302076Z", + "iopub.status.idle": "2026-02-03T17:33:10.321826Z", + "shell.execute_reply": "2026-02-03T17:33:10.317643Z" }, "lines_to_next_cell": 2 }, @@ -357,10 +357,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.961972Z", - "iopub.status.busy": "2025-11-13T21:54:16.961972Z", - "iopub.status.idle": "2025-11-13T21:54:16.972976Z", - "shell.execute_reply": "2025-11-13T21:54:16.972976Z" + "iopub.execute_input": "2026-02-03T17:33:10.332572Z", + "iopub.status.busy": "2026-02-03T17:33:10.330838Z", + "iopub.status.idle": "2026-02-03T17:33:10.380335Z", + "shell.execute_reply": "2026-02-03T17:33:10.375907Z" } }, "outputs": [], @@ -406,10 +406,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:16.977296Z", - "iopub.status.busy": "2025-11-13T21:54:16.976302Z", - "iopub.status.idle": "2025-11-13T21:54:18.850020Z", - "shell.execute_reply": "2025-11-13T21:54:18.850020Z" + "iopub.execute_input": "2026-02-03T17:33:10.391837Z", + "iopub.status.busy": "2026-02-03T17:33:10.390116Z", + "iopub.status.idle": "2026-02-03T17:33:17.507232Z", + "shell.execute_reply": "2026-02-03T17:33:17.503098Z" } }, "outputs": [], @@ -508,10 +508,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:18.854035Z", - "iopub.status.busy": "2025-11-13T21:54:18.854035Z", - "iopub.status.idle": "2025-11-13T21:54:20.098875Z", - "shell.execute_reply": "2025-11-13T21:54:20.098372Z" + "iopub.execute_input": "2026-02-03T17:33:17.516755Z", + "iopub.status.busy": "2026-02-03T17:33:17.515414Z", + "iopub.status.idle": "2026-02-03T17:33:22.501898Z", + "shell.execute_reply": "2026-02-03T17:33:22.499025Z" } }, "outputs": [], @@ -534,10 +534,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:20.103891Z", - "iopub.status.busy": "2025-11-13T21:54:20.102885Z", - "iopub.status.idle": "2025-11-13T21:54:20.126792Z", - "shell.execute_reply": "2025-11-13T21:54:20.126792Z" + "iopub.execute_input": "2026-02-03T17:33:22.509210Z", + "iopub.status.busy": "2026-02-03T17:33:22.508256Z", + "iopub.status.idle": "2026-02-03T17:33:22.575116Z", + "shell.execute_reply": "2026-02-03T17:33:22.570943Z" } }, "outputs": [ @@ -842,16 +842,16 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:54:20.130710Z", - "iopub.status.busy": "2025-11-13T21:54:20.129362Z", - "iopub.status.idle": "2025-11-13T21:54:20.604112Z", - "shell.execute_reply": "2025-11-13T21:54:20.604112Z" + "iopub.execute_input": "2026-02-03T17:33:22.585451Z", + "iopub.status.busy": "2026-02-03T17:33:22.584420Z", + "iopub.status.idle": "2026-02-03T17:33:23.737884Z", + "shell.execute_reply": "2026-02-03T17:33:23.733718Z" } }, "outputs": [ { "data": { - "image/png": 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", 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7N5YuXYpBgwZhxowZaf48qZ1jRt+flvOWXsaNG6eE6fHjx1GlShWYg9jYWERHR6vvgcLTUu9NDT/99BM+/vhjXL16FcWLF7fosQVBsEGs3RxZELIq27ZtY99v3eLFi1Mct3//fjXuxx9/NGx78uSJrlSpUrp69eolGMt9de3a1fB8xYoVuo4dOxqeX7lyRefm5qYrV66c7vbt288c6+LFi7qJEyem+bOkZY4ZfX9qzxt5+PChbunSpcm+vmDBAl1oaOgz2/v27atzcnLSRUVF6bIj/B54jq9evWrtqQiCYAOIm1gQLEBISAhiYmKSfI3WMnt7e7z++uuGbXTtvvrqq9i3bx9u3rxp2E63786dO5V79fz588rCRyubscUrNDQUs2bNgq+v7zPH8vPzw3vvvZfm+adljqZ8f0rnjfz666/o1asXli9f/sxrPAcvv/wy5s6d+8xrtAiWK1cOjo6OsGTsHS263Hbp0iVloc2dOzc8PT2Vuz88PDzF9xJ/f38MHjwY3t7eynJXsWJFzJ49+5ljcxzPLV3yHFeiRAkMHTpUWYg5B1oFCbdrLnjtWMkd++jRo2jXrp0KOXBzc0OLFi2ecdun9vMJgmBbOFh7AoKQ1eGNkAKNYqhRo0b48ccfUatWrQQ32TJlyqibrDF16tRRj8eOHUORIkXUeo0aNdC3b1+0bt1aPaeLkzdvjdWrVyvBWL9+fZN+hrTM0VTvf955I3T1HjhwQLmg6R6nQCHLli1TMZP9+vVTIsgYCiIK6T59+sBaUMBSiI0dOxZHjhzB77//jgIFCuCHH35I9j0BAQF44YUXlNh6++234eXlhXXr1inR9/jxY+V+J7dv31bnlfGAFN8UvRSHFOQUZN27d8eFCxewcOFC/Pzzzwa3O/eXHKdPn1bfAb8/hiRQRE+fPh1NmzbFjh07VPxnRj+fIAjWQ8SgIJgJJycn9OjRA+3bt1c33DNnzqhYLd5UGcBfvXp1Ne7OnTtJWvG0bby5G/PLL7+oGz9v9hSDDg76/8YUBLzpd+nSxeSfJa1zzMj7U3veCD/7P//8o2IJu3btis2bNysBSYsgrVh//PHHM3Fv3B9j4swVK5ga+BloudR48OCBep6SWBoxYoSK5zt58iTy5cuntr355ptKCNMiR/HLxJzPPvsMd+/exf79+xOI52+++UZlofNz80cFxSDPWeKYwaQYOXKkOmeMO+WPDcJ41LJlyypxSEGY0c8nCIL1EDexIJgJWudojaFbr3Pnzvj000+VW43ihDdsDWb30pWXGLpRtdcTwxsyb+iaENTEIGGWsalJzxzT+/7UnjfjfaxatUpZHikgKXBoqVq0aFGC86Nx4sQJ9Vi1alVYC4o4Yyh0KZi07zAxFHFM/unUqZNav3//vmFp06YNgoODlQUuLi4OK1asUOMSW1FJehJCKEA3btyozqsmBDUhT9FNgZh43mn9fIIgWBcRg4JgQRizR8sdM2h5kyW05rDsSmIiIiIMr6cGzQXLODtTk9E5ZvT9SZ23xJ+d1sOHDx8qy+DEiROT3SfjBUliyyDjL5l5TTFNl+aLL75oeI2i65133lGubB6LsXqMz0xqLqmhaNGiCZ7nyZNHPT569CjJ8ffu3VOWYM6R7lzjhe50EhgYqMZRcPFzmAruk+5lWgETU758eSVAE8d8pvXzCYJgXcRNLAgWhoKCcWthYWFKWNDCQvduUq5VwiSA1MB9ceypU6dMPueMztEUnzHxeTPmypUrKpaS8XG0MtLNvGfPniRd07QMMgGDi8aUKVOUG3Px4sVqH7du3cKWLVsMIos1GhkfR9cr50pB+cUXXxgSMdIK4yCTgla/pKDgIoyBHDhwYJJjKG6Te7+lSevnEwTBuogYFAQLQ+FC1yYzMkm1atWUxYsWHWORQ+GhvZ5aOnbsqKxHzNCtV6+eyeac0Tma4jMmPm/GgrJVq1YqqYFZ1hSDrFvIJBvGsuXNm/cZMZjYRcwkHNY1pKVLE57MhiVM1qBLfubMmYbxfD9d05aCFkBaLGmJbNmyZbLjKBp5fp/3gyAt7mIe29XVVSXdJObcuXOws7NLMXlIEATbR9zEgmAm6F5LDC1KFBEUKryJErojeZM3LgRNlyqTHxj7lpYbLYP5c+XKhddee01lnybVmYRdSNJKWuZIlyJFAl2r6Xl/as+b5nZkzBxdw0weKVy4sCq1ww4jdF126NBBWRI1mFhBS19iMUiRyTI1PIZxXBvPF2P1mHxhbUsbrZ2cS1JCTztnPDeM7WNW+aFDh5K1zPEaIanpQMJj87yvXLkyQbkZXl8LFixQwjuxpVYQhMyFWAYFwUz07t1bxa0xIYIxaMxipRiileX77783jKMYYscQJkdQqDA+jrXxeOM1zshMDaVKlVI3aB6bVi7jDiTMxKUbVLN4GVuJmjRpojp/JEda5shSL+wgMmrUKJXlmtb3p/a8EQo4ij7O3bjeIi2Na9asUSKGx3nrrbdSjBdkZu13332HIUOGqGQMdnWZOnWqchVzv0nFy1kafnZaV3kuOc8KFSqoGEkmjlAIc53wczDhg98pS8vwOqD1lN89kz1Y+69mzZqGDGWW2KFVlUknmkhMzJgxY5TVlcKP55KJOSwtQ0HP2ElBEDI51q56LQhZlUmTJunq1Kmjy5s3r87BwUHn6+ur69evn+oCkhh24/jf//6n8/Hx0Tk7O+tq166tW79+fbqPfeHCBd2QIUN0xYsXV5023N3ddQ0aNNBNnjxZFxERYRgXEhKiOlH06dPnuftM7Ry1DiKjRo1K1/vTct6io6N1p06dSnbOx48f18XFxRmejxs3Ts3t2LFjSY6PjY3Vbdy4Uefi4qKbP3++bvTo0boWLVro0sMff/zxTJcPnhNuu3fvXopjk3ovCQgI0A0bNkxXpEgRnaOjozqXnN+MGTMSjLt+/bpuwIABOi8vL3WuS5Ysqd4XGRlpGMPPVqhQIZ2dnV2qjn3kyBFdmzZtVIcbV1dXXbNmzXR79+5NMCa1n08QBNtCehMLQjbm33//VXGGtJix57Ggh7X3WFuPNQ+//fbbJOPlzAmtpXT10+pJ17cgCII5kZhBQcjG0O1IN2F2FoLsksFEFhZVZuwhxR/jDFnKhq5Tuo25jbGQTNA4ePAgPvjgA7POiW5duu8TJ78IgiCYA4kZFIRsDFu8ZXeYhMKyNEwuYSJE48aNVTa21p6NcYP/+9//VOs2ikHGOyYuqmwqmJTBgtvTpk1T2eCMkxQEQTA34iYWBEGwEZgIwy4q7C3MUjbGSTGCIAjmQsSgIAiCIAhCNkZiBgVBEARBELIxIgYFQRAEQRCyMZJAAiAmJgZHjx5VvUqNuxsIgiAIgmC7MKmLiVfVq1dXxdCF9CFnDlBCkAHbgiAIgiBkPtj5qHbt2taeRqZFxCCgLILaxeTr62vt70QQBEEQhFTW5KQxR7uPC+lDxODT5u6EQlCq/QuCIAhC5kJCvDKGBMgJgiAIgiBkY0QMCoIgCIIgZGNEDAqCIAiCIGRjJGYwDenrUVFRyO44OjrC3t7e2tMQBMHKxMbGIjo62trTELI4cs+xDCIGUwFF4NWrV5UgFIDcuXPDx8cHOXLkkNMhCNkMnU6Hu3fvIigoyNpTEbIJcs8xPyIGU/GHj6nrtIYVKVIkW2cs8VyEh4cjMDBQPZcyPIKQ/dCEYIECBeDq6io/CgWzIfccyyFiMBXdSSiAChYsqP7wZXdy5sypHikIeTMQl7EgZC/XsCYE8+XLZ+3pCNkAuedYhuxr5krDHz/i5ORk7anYDJoolnghQcheaP/n5YexYEnknmN+RAymEomPk3MhCIL8PRQsj9x/zY+IQUEQBEEQhGyMVcXgzp070alTJxWPR+W/YsWKZ4JHv/zyS5WowLiBli1b4uLFiwnGPHz4EH379oWHh4fKOHr11VcRGhpq4U8iCIIgCIKt8zzdkRTbt29HjRo14OzsDD8/P8yZM+eZMVOnTkXx4sXh4uKCunXr4sCBAwlej4iIwLBhw1SsrZubG3r06IGAgADYClYVg2FhYahatao6iUkxbtw4/PLLL5g2bRr279+PXLlyoU2bNuqkalAInj59Gps2bcKaNWvUF/36669b8FPYNk2aNFEX/MKFCxNsnzx5svrPIAiCINguTZs2xfvvv5/sc0scMyvxPN2RGJaV69ChA5o1a4Zjx46p8/Laa69hw4YNhjH//PMPPvzwQ4waNQpHjhxR+6dW0SpvkA8++ACrV6/G4sWLsWPHDty+fRvdu3eHzaCzETiV5cuXG57HxcXpfHx8dD/++KNhW1BQkM7Z2Vm3cOFC9fzMmTPqfQcPHjSMWbdunS5Hjhw6f3//VB/75s2baj98TMyTJ0/UcfiYVsLCw3V79x/URURE6KwBz6G7u7vO19dX16NHjwSvDRw4UNehQ4d07Tcj50QQhMxLZv6/z795/Ds/duzYBNt537GhW+EzNGnSRPfee+8Znj948ED3+PFjix4zKRo3bqzOGxcHBwddmTJldPPnz7f4dZfS/TutuiMphg8frqtYsWKCbb1799a1adPG8LxOnTq6YcOGGZ7HxsbqChYsaLjWqF0cHR11ixcvNow5e/asOv6+fft0toDNxgxSjbOeFV3DGp6ensr8um/fPvWcj3QN16pVyzCG41kLkJbE5IiMjMTjx48NS0hIiMnnzwLVhQsXQf26tXH85GlYA7rU+dlGjhyJdevWqRI5Gvz1UrNmTavMSxAEwRrQhffDDz/g0aNHJtunpTtT5c2bF+7u7rAm1FFHjx7F2LFjVR3e8+fPo169ehg4cKC6d1sD3uuM7+u8z5uCffv2JdAhhFY/TYfw+z98+HCCMdQgfK6N4evMxDceU65cORQtWtQwxtrYrBikECTe3t4JtvO59hofWe/KGAcHB/WfRRuTFLyAKSy1pUKFCiafPy+Gkn6l1frREydhDXgB8o8fTdqMqaQgJHSznz17VsVACIIgZBd4M2b3JN4DkoMi4t1331X3Fv79bNiwIQ4ePJjAhfr2228rd2H+/PmVMNC2v/POO2p7njx51L1q5syZyi35yiuvKAHHeDPt77DG+vXr1TFo2GA8WceOHXH58uVUuXCvXbumwoASLxyjGSX4WUuUKKHi7um+XLJkSYL9cX4DBgxQcWyMzx8/fnyqDQ2cN89nyZIl8dlnn6m6vCdOnIA14H3c+L6e0necFu7evZukDqHgfPLkCe7fv69K0D1Pq7A8Hb/j5MZYG5sVg+aEF21wcLBhOXPmTNoqokfFpGopU668es/R4ydT/Z6UFr1VO/XQ+lelShV1EXbr1s3wR+D48ePqP21iMdirVy80aNAgTccQBEHILLBI/nfffadipm/dupXkmOHDh2Pp0qWYO3eu+htKAUfBx2RFDb7Gv6t79uxRMe3G2ykQmTxAYTh06FD07NkT9evXV/tq3bo1+vfvn8BLQzHGeLNDhw5hy5YtypDAv9epaX/Krli0zGkLrXUUlI0bN1avUxD9+eefao6MrWfcWr9+/VTMmsbHH3+snq9cuRIbN25UyRKc6/MMDRSdvL9oaOczsSiyFLyPG9/XeZ8XskAHEv7aIMy2MW57xufVqlUzjDEO0CQUOfxPq70/KZgRxEWDCj+1PImORYUv4wNHU+LxbX2h6j/X7cH6nKl7T0qc+aYNXJ1S/5XxP7Qm+BioyoW/erndy8tL/SHR4K+5mzdv4tKlSxmepyAI2atdmDVIbys8Ci3eQxjsP2vWrASvUZj99ttvKlu0Xbt2ahute0xQ5FgKJ1K6dGmV4JgYWt4YlkMoRr7//nslDocMGaK2sToG98+/ty+88ILaxqxSY2bPnq3+PlPcVKpU6bniVrvX0ePTtWtX5a796quv1N96Ct/NmzerbYQWvN27d2P69OkquZCVN/i55s2bhxYtWhgEbeHChVM8Lu8htDbS40TOnTunRDTPa506dTBhwgR89NFHOHXqFCpWrKjGMJP2119/VfdnWk45hlZInh9eQ0zooFhOL7S8avMxJT4+Ps9k/fI5j0VrK78DLkmN0b4bPtKdzO49xtZB4zHWxmYtg7zQeJL4S8lYtDEWULuw+ciTy18pGlu3blW/qBhbaG0c8xdVj9H3rlvl+MZxgXQbODo6qgwonq/EVkH+keIfDl6o/IUpCILwPHgTp3vRGktGRCjjBil6GC5jDN2zjO0y9pDw7yYFjvHY5OKtjS1lFAi00lWuXNmwTbOaGRsx6HJ96aWXlFCjwGB5EnLjxo00fabBgwcr1+2CBQuUdZE/7HmOWrVqleC80VKouaH5SJFifL9kmFXZsmWfe2+hi5r7oyu9evXq6nPS5c1jUwTyOWMJtc/C2DiKTApBwjEUg/RU/fjjj0rA2iL16tVLoEMIfxxoOoQWYl4PxmOoQfhcG8PXeR0Zj+G54XnRxmRryyB/lRhbohh4ytRtXowMrGRcxJgxY9SvMIrDL774QpVD4a8fUr58ebRt21b96qIZnP+JGcvRp08fs5VNyeloryx0qSEgoBpK/j0CscF3sfmduijolTvDx04tV65cUUJZE32MpezcubNyf5w8edLwq5cwHobfBVPnGdTKX6TG1lhBEISsBN2odP3Sejdo0KA0v59lzpKCN3xjaLk03qZZMo1dwKx5V6xYMWWB5H2Lr9EimJbEFN4n+UOf7mktuUSrt7t27VoUKlQowXhjz1h6oBiklZTx6LTQ8n5hbKWl0GPYkSYGR48erSyydKsbj2FsJuH8tNav1tYdn332Gfz9/ZVoJm+++SamTJmiLJ8U3DQ4LVq0SJ1XDbr5mTzDZFb+cJg4caIhVpQwhpE1kDmOx6HoZxgBhaBmIc7WYpAxEhQgGjxRhCeVZnqefJ5Q1g2ksGGwKn958JeIxvz585UApImbv0hocmdtQnPBCz61rtrihQsib778ePjgPi5cOA+/QpaLx6P1j79YjN0MPDdavMqIESMSWAX5n5VoYlBzGQiCICQHhYC1ivxntD8yXbh0axpbwUqVKmWIBaRAIzQy8AezOeruPXjwQAkmCsFGjRqpbXTjpgX+wP/mm29UYgrnb5xQQdFH6xNdwknB8RSr9LhRCBFmWl+4cCHZ92iGBlocGU+ZVOgArYZMhPn555/VeC60Pmr3I46ha5nnniKQrvP27dvDFnTHnTt3ElhlaYii8GO85aRJk5R18/fffzckDpHevXvj3r176l7KhBBeV9QqxvGTPBeaRqELn++n29xWsKoYpOsypaQICi9e5FySgyqbZnFbhPPnf8jdu3bi5KnTaN/McmKQv9z4H49/2DT4n5f/8fiLU7MY8o8eg4fppiD8w86AZ0EQhNT8jUvOSmbr0I3JpgXGxgN+FiZ90OqlWYoYG8gf0LTsmBq6TOlKnjFjhrKuUYR8+umnqX4/rWvMBP7kk09UbJ6Wmcq/+5z///73PyViaG2kMYWJFfybT8sUxQ/dvPxc/LycBzOoaSigaHle8ohxSTdjaGljPDo9d3RD09BAr97y5csN9x2OoSCiZYxzZZZ3Wj63OXXHnCS6i/A9TM5JCRqluCQHjViMi0xtsWtLY7Mxg1mFypX0wbPnzp5GVIxlzOBaFplxLCXhr0TGXfI/An/tEP4nZYAxf8lx4S+gtGRXC4IgZFZoaEictUuLoeZFoXihS5EuWC3WzZRQdP3999/qbzV/vFO4MX4uLVYuClW6iSkmtUXrbKEJMd4PtLAq/o3X/v4THo9WSbqrKcooGlOqQatlWNP1mZxA5Wfh/YaePbpcKaa07doYHo/uWbq2Ga+eUde1kDFysPI0sjlMiecvGWbTJs6iYoYWf8XwP4+xezq10AzMLKpGLVpjxcrVyJsr3lJnbRj7wD8ifNRgphdN9zR5J0dGz4kgCJkT+b8vPA8KO7qeaW1kmzZaLCkCKVLpLmYGLsfQ/c6M7oxedyndv4XUI5ZBM6P9Erp84RzCImNgSzRv3jyBECR0LaQkBAVBEAQhOYwtgIyl4zqzp5nYQiGojTHOshasj83WGcwqaDWWbt+8gcBHQSiSN2NBz4IgCIJgqyQVw89YRCalpDRGsC5iGTQzDMrVMorOnTmL6JjnV5UXBEEQBEGwFCIGLe0qjrItV7EgCIIgCNkbEYMWdBVTDIbaWNygIAiCIAjZGxGDFhSDl86fRVik5crLCIIgCIIgPA8RgxZ1E59FZEwsomMlblAQBEEQBNtAxKAFYBcSEnDnNkIeB9tciRlBEIS0IOVpBUsi15v5ETFoAXLnzm1oFH7l4nlxFQuCkClhMWHCrheCYCm06027/gTTI3UGLRg3yLY8jBusU7eepQ4rCIJgMuzt7dWPWxYRJq6urqpPrSCYyyJIIcjrjdcdrz/BPIgYtGDc4MaNG3Hx3BlD3KCjvRhmBUHIXPj4+KhHTRAKgrmhENSuO8E8iBi0EFWrVlWPl8+dUY+MG8ztajt9igVBEFIDLYHsM8uuEuwvKwjmhK5hsQiaHxGDFqJKlSrq8cLZ08r0HRphGTHYpEkT7Ny5U7X/eemllwzbJ0+ejLFjx+L27dtmn4MgCFkP3qDlJi0IWQPxU1qI8uXLw8HBAUFBjxBwxx+hFuhEQtF59OhR9St+6dKlCV47fPgwatSoYfY5CIIgCIJg24gYtBDOzs4oV66cWr949gyiYuIQFWPeAtQXL15ESEgIRo4ciXXr1iXIADxy5Ahq1qxp1uMLgiAIgmD7iBhML1FhyS/REUmOrVJJX2/w6rnjyBEdjtCQx0D0k9TtNx3Q+ufi4oLXXnsNHh4eShCSiIgInD17ViyDgiAIgiBIzGC6+a5g8q+Vbg30XRz//Ec/IDocVe9HYgGAW6vHobLzFP1rxRoCr6yNHzuxMhD+4Nl9fhWc5inS+sdYRScnJ3Tr1g1LlixBjx49cPz4ccTExBjE4IQJE9SSP39+BAcHo3379pg6dWqajycIgiAIQuZDLIMWpIq3vkbSiYD4dnQ66Mx2PIpBTfB1794da9euRWRkpNru5eWFIkWKqNdOnTqFSZMm4dixYzhz5gzmzJmD0NBQs81LEARBEATbQbKJ08vnKWTh5khUGPPjS+qhyu07wPzSOP8QONTnKJydXVDa2wMuxmPfPwlTQdGnZRA3bdpUpehv2LDhmeQRisERI0aodQrCUqVKwc3NzWTzEARBEATBdhExmF6ccqV5rG+xUsoVe//+ffjf8keJcpURFueYUAymZb8pcOXKFQQFBRlEHzOZO3furLKKT548iXbt2hkyjs+fP6/cx0ww4Xt2795tkjkIgiAIgmD7iJvYwsVatXqDVy+cVY+hkeYpMUPrH2MF2flEg4Jv1apVOH36tEEkXr16VZW9oUXwwoULePfdd/Hzzz+bZU6CIAiCINgeIgat1Ink4tlThk4ktM6ZGrqIKQQpCDVatWqF2NhYREVFGcQgXcRly5Y1jKlcuTICAgJMPh9BEARBEGwTEYMWRrMMnj19CnY5ciAmToeI6PiEElPB7iK0Diaudfj48WMlPkuUKPGMGKRQXLhwIVq0aGHy+QiCIAiCYJtIzKCVxCDLu7g62Ss3MZecTomSTiwExSBjBBcvXqzc2IwlHDp0qFXmIgiCIAiC5RExaGEqVKig+nk+fPgQoQ8DgVx5lRj0cneGNWDPYkEQBEEQsi/iJrYw7AiiuWWvnD9jiBuMM0PcoCAIgiAIwvMQMWjFJJKzp0/Cwc5OCcFwM2UVC4IgCIIgpISIQSvGDbLen7uLg1lLzAiCIAiCIKSEiEErWgZZ28/NWS8GQ0QMCoIgCIJgBUQMWoFq1aqpR3b+sIuLUutPomIRE2v6EjOCIAiCIAgpIWLQCvj6+sLHxwdxcXGq3qCLo76sjLiKBUEQBEGwNCIGrUT16tUNnUI0V7GIQUEQBEEQLI2IQSuhtYM7evQo3LQkkgjztKYTBEEQBEFIDik6bQOWwVxODqr7R1RsHKJi4uD81G0sCIKFiQgGQgOBiMdARJD+eSTXg4GoMKDmIMCjoH7s2dXAsQVAdDgQHaF/jIkAYqMBXSzQYzZQpLZ+7OE5wIaRQFyM/jX1GAfksNMvvecDZdvqx55cAqx+7+lrOeLH2DsB9o5A2x+Acu31Y6/vBbZ/r3/NwVn/ur0z4OAEOOYCKvWIn0PIXeD6Hv12J1fAKVf8Oh9dPPTvFwQh2yFi0MqWQbaDi42JVq3pWHyaWcUiBgXBhDy8Aty7AITde7rcT7jeZx6Qp7h+7L6pwI4fkt+XX8t4MfjoOnD+3+THRofFr8fFAlEhz46hIORiTGwUEBWa/H5jI+PXKfCu7kh+rE/leDF45wSwZHDyY9uMBeq9FT92zfuAiyfg7KEXimrdU/9YrJ5+3yQmEgh/AOTMCzi6JL9/QRBsFhGDVqJ48eLInTs3goKCcObMGRQsWU6JQbqK87uZrjVdkyZNsHPnTtV27qWXXjJsnzx5MsaOHYvbt2+b7FiCYFEiQ4FHV4GHV4HHt4HHt/SPwf5Aj9+B3EX0447OA3aNT34/IQHxYjBnnoSixyCCPABnN8A1X/z7SjUDOk0CHHLqRZCjK+Dgoreu2TkA+UvHj6WFrmRTwM5e/xoX5KAaBBgakjN3/NjynYCiL+i3q4WCMVYvEml1zFsyfmzh2kD335++FgnE8DFKL9BoqfSpFD/W2R0o3kgvNKNozQyPX+d7+Tk1QgMA/8MpC0dNDFI4zmqpX6eF0TWv/jzykeercq94qyctrrcOxr9GAUkLJS2ggiBYDRGDVoJuYbqKt23bpuIGy1SoBDyOb01nZ4I/jow/5L6Zvbx06dIEYvDw4cMG66Qg2Cx0zd6/ADy4rLfKaaKJrtHtY5N/X9CNeDHoVR4oWAPI5fV0yWe0nh/w0reHVLwwVL+kBu+K+iU1cN7Ggi8lKNq4pAZ+Ru1zPg9a8watSfq12ERF732rAX0WxrvIKeIig+PXjc8Zx+Sw1wtWWkODudyMf71Qrfj1e+eAed0THotubX4Xbl5AndeBai/rtz95BFzaov+OchUA3AroxaOdhLoLgqkRMWhFNDHIuMFBgwbB3i4HYuN0quZgrqcZxhnh4sWLCAkJwffff4+PP/4Y4eHhcHV1Va/xmN26dTPBpxAEExF0E7ixDwg8q1/undW7Ymk9I4P+BYo30K+7++gfKQ5o1fMsrF88CunduMZipUpP/SIkj32ivzcUZlpc4vPwawF8+UAvCukuDn8EPHn4dP0hULxhwvHeleJfo0WSi7Lq3tKLTY37F4GlryZ8L0WnEodeetFevV+8cLywUX9daAutuWJxFIRUIWIwnYTTxZJGnOyd4KDcQ0BMXAwqVK6g1mm9o6WQJWYCQh/jXpgOOewSuopd6YJKI7T+ubi44LXXXsPo0aOxbt069OjRAxERETh79qzaJghWsfbdPQncPgaUbQfkKabffnEDsPajZ8fTnZjPyOWquV0rdE29tU0wLxRdyq3uCeRNYVyROsDQPfp1usD5d5TCMJTxm4EJRTz/VtKtzYQexndSYNL6SBc2F4YJGAvH5a8nPBb/Ziph6AvUGgxUflG/PTIEuH1Uv12JxlRaYQUhCyNiMJ3UXVA3ze/5qclPaFO8jVrfcmMLvr/9vaEtHQtQs0/xSxt6IiTa6NfxU04OPJnm49H6xz7ITk5Oygq4ZMkSJQaPHz+OmJiYBG7iOXPmqDjC2NhYNZePPvoIAwcOTPMxBSEBcXF61+DN/4CbB/Q3Ybp9taQJxovl6a9f96kKFK0HeJUDClQACpTTu3hppUqM3MCzhoDk988ld9FnXy9UI6Fbm/GSKvnnqTjM5xf/GmMxSzTRJ9RwoUubQpPJQ1z4w0Ej4DQwt1P8cyc3wM07XhxW7QOUbqV/jVni4fcBN59nraeCkIWQq9uKOPs6w97ZHmFhYcqlW6KU0R83E0AxqAm+7t27qyUyMlJt9/LyQpEi+lij6dOnY/78+diwYQPy58+PBw8eYPXq1Sadi5BNiH6iL6/CBAJycSOwsPez43hzLVhNHwemwazXwestN1chc8HEHA9f/ZKYQjWBgavinzMpJvSpMOTiq+8Hr2BZH1qalXXxsT6J5iGXy/rXmbyjcec4MLu1vrQPBaMWhsBHz0L6pCAtkUbINEydOhU//vgj7t69i6pVqypDSJ06dZIcGx0drZIt586dC39/f5QtWxY//PAD2rZtG5+DFhKCL774AsuXL0dgYKAKAZs0aRJq136ayc8ol0GD1D6MadOmDdavt42/eSIG08n+l/eny02s0aJoCxzodwDNpjfDgf0HlKuYF9lvjZchMjYWRfK4wjNnxmp+UfRpSSNNmzaFo6OjEnzGySOPHj3CyJEjlbWQQpDky5dPXbiC8FyYeHDnGHBlG3BlB3BzP1D/XaDFF/FuQVpeaOUpUld/02ZyQlI3dEEwFaydyKxr48xrDcYwvnNIv05XM0WhEo139I/F6sePpWvazhGIi376+h3A32hf7X+KF4O0fP/TXy8SNcFoLB7pAmcWtWBV/vnnH3z44YeYNm0a6tati4kTJypRdv78eRQoYPTj9Cm8P86bNw8zZ85EuXLl1D2Unra9e/ca6gUzFItl4v766y8ULFhQjW/ZsqWqFFKoUCHDvigg//jjD8NzZ2fTVQ7JKCIG00l6YvgSnHg7B7XUrFFTiUEKtz59+sDLzR33QyMRE+OYoWNcuXJFla3RRJ+DgwM6d+6ssopPnjyJdu3aqe38JdOsWTN1AQtCqqDr7OhfwJXtwNVdepecMffPx6/z5vfpDb0bTxBsDZYL4pKvVNKvM6Z15FO39GP/pyWM/OPXmQyjwQxqWiO5JFWWh8KxzpB4V/XOHwFPZoMXfZoAVUT/KHGwZmXChAkYMmQIXnnlFfWconDt2rWYPXs2Pv3002fGU+CNGDEC7dvrE6qGDh2KzZs3Y/z48Ur0PXnyRN1XV65cicaNG6sxX331lfKu/fbbbxgzZkwC8efj8zT5zcYQMWhDbekI4wYpBll8mqVhmFiSHmj9Y6xgpUrxf6wYL9i/f3+VVcyLm/DXTLVq1UzyWYQsbP1jpqdWi4/uuq2j4zM/mTRQorHeZVay2bPWGBGCQmaGpWzcGVPorbdwJ0fp1sDr2/V1LhOLRj4ax0Uyjvb08qT3wyzoDhPiM+C5P2bZa2KRcY3yfypdREVFqXvjZ599ZvT12ikr3r59+5J8D0OrmIhpTM6cObF79261zvh7xtqnNEZj+/btyvqYJ08eNG/eXAlFeuJsARGDNtSWjuKPJWVYYzAmNg4R0bHI6ZS+r4j7oxCkINRo1aqVumj5H0ITobly5VIJI4KQAMZcXdoEnFurj/tjwsZ7J/RB/7wRvfCWPtuThZfp9pWbk5Dd4f+RgtX1y/PwqQK0+U5fTilYW27pM6sZx0hrpQaFoHGJHf6/o+vZ86lFsfZr8V1maLVnchbd5NkMxu09fvw4gRUusRv2/v376h7o7e2dYLu3tzfOnTuX5H7pQqY1kVa/UqVKYcuWLVi2bJnaD3F3d0e9evVUdY7y5curfS1cuFCJSz8/vwQuYsbtlyhRApcvX8bnn3+uPHQcZ29vfc+JiEErQ8HGWL6HDx/i2rVr6kJhiZnHEdEIiYhJtxhkwCsXY/gfw/g/C+HFyHgHmr75C4Wvr1q1Cv36Pa3fJWSv5I9Lm/UWi/PrE7ZTYxkQxlNpsX5Nn3WnCIKQStidxrhDjXHZJVoCtTqamsgs1kAvGGllZAIMi6pzIRW6xI89t0YvHFmOSbmguRR7uhQFCtfS12nMglSooC/VpjFq1Cjlrs0okyZNUm5lxgvSU0dBSBcz3crGruTBgwer+EAKOxpbGK9PK6QGw8A0KleurCp9cF+0FrZo0QLWRsSglaFA40XBi+bgwYNKDNJVrInBAh7mPX79+vVVMC3jBjW39AcffGDegwq2ycaRwMHf45/z5lG+M1C2vT75Q0prCIJ5YZkdrzIJt5Vpo1+0Htf8UaZZEikIjbOZmeBCVFHvB/rkLmP6LADKddCvX94GHP5D///cWDBSQHIemYzEyRpJJWcwSZJiLSAgIMH2gICAZGP5WHljxYoVqj4vK20wvp6xhSVLxofDUNTt2LFDVQahQYVdv3r37p1gTGL4Gudz6dIlEYOCHqafa2KwV69eSgyS8KgY5S52sDdv+yVaBrkI2Qh2+Dg2H6jSO/5mwp6459cBFbsBFbvr46Okg4Mg2A4Mx2C2MpekqPc2UL2/XixqLmhlRbyufzSO52XZnDMrk96Pa36g19z47jGs1fjgSrxYdMwJW4PuWg+PlK0nDJuqWbOmcvV27aqvPckwqS1btuDtt99O8b2MCaTYZKkZJozwXp0Yhl1xYZUOZh2PGzcu2f3dunVLiUsKR1tALIM2IgaZ0UQxSJwc7OHiYI+ImFiERsYgt2t83J8gpBu27Dq5BDi2ALh9RL8tJhJo/6N+vXhj4P1T0vtVEDIr/PGm9cF+Xv1DthF0cI53OVMwPrqhrw7AQtsuRt19zq4GNn0Z/5y9opUwLKrvIFTzlfhOQgwpseEfkfSEsaFCrVq1VG1BlpYJCwszZBcPGDBAiT4tzGr//v2qviATLflI1zMF5PDhww37pPCjZ43l4WjpY/tXupW1fYaGhuLrr79WSZy0QDJmkO9nTCFjEm0BEYM2gFaYktZBBqXSjE3rYERorHIVixgUMgS7fhz4HTi1RF8QWgtCL9M23v2ktpnXAi0Igg1BsZiUYHwSpBeHxjGNrBXKMjrsFR4V8rQLTCDg/7ReIz0JGnsnA/umJhSLWsiJDdRZpPv23r17+PLLL1XRaYq89evXG5JKbty4oTKMNegeZq1Blmtzc3NTJWYYI5g7d7xYDg4OVhnKtPblzZtXib5vv/1W5QMQ3tNPnDihik6z5Btdza1bt1ZJJ7ZSazCHjnI2m8MvkN04bt68icKFCyd4jRfC1atXVSxf4tRxU8HUdE9PT1Xy5fTp0yoQNjQiGlfuh8HBzg7lfd3TXWLGHFjinAgmgi28JpTX10kj/INevR9QuWeWDSQXBMFMUC7Qw2CwJj5dmo8EXJ66aNlf3Dj2WOPdo0kXATfj/VtIPWIZtAFYEJrZR6xJRFcxxaCrVmImLmMlZoRsRkgAcHyBvgsI44tYE7DO6/p+wLWH6DuC2NAPC0EQMhH820HrHhe2k0wKCsNqfRMJxuv67GbBZhGFkUrMbUClq1gTg4xnoBA0RYkZcyDGZBvk/iVg32Tg2EIgNhIoUCHeBdwkPrZFEATBrLAveaE8KRfoFmwO21EYNopWDJKFmllR3Nxxg1oSCbFkiZm0QHc20eIhBCty8yCwZ6K+ODSe/mApXEffxUAQBEEQMrsYZDIFM3fY/4+Bngy6HDRokArm1GLoaKVicUk2kWZgZoMGDVQ/wNKlkyjomU4Xrqurqwo4pfgxDiw1Jaw1SI4dO6bqFDEF3hFx0MVEISwmCqFhdmYvMfM8eK4pBAMDA1XwrC1UTc+2MG5nyWDg8tb4bawH2OA9oOgL1pyZIAiCkMmwaTH4ww8/KGHHDJyKFSvi0KFDKlWbyRbvvvuuGsM6Pr/88osaw4SGL774QqVqswClKZIbKDpZB4gJE9evXzfBp0r+OKyRRCG4ceNG9XnJo8cRiI7VITrYCa5OtiG+KARttdl2toFlH8Lu67OCq/QBGrwLeJW19qwEQRCETIhNi8G9e/eiS5cu6NBBXzG9ePHiquffgQMHDJYq1giipZDjyJ9//qlSxFkx3Lj9S0aglY6WRrqKzQldxSx+eefOHXTs2FFt27jjMhYduolW5b3xafv4PofWgtZRsQhagdvHgD2TgM6T9X1LaRnnOuuJ5SlujRkJgiAIWQSbFoNslTZjxgxcuHABZcqUwfHjx1WSBZtGE1rr6D5u2bKl4T20GtatW1c1f05ODEZGRqrFuMH186B72NxlVDhvikG6irVj1Svji5+3XcOKU/cwsktVq7uKBQvDTLwto4GTi/TPWRes0Yf69eSy+QRBEAQhq4hB9v+j25SVvGmNYgwhCzn27dtXvU4hSLRikRp8rr2WFKwszmrgtgaroSdOIqlRNDdyuzoiKDwah68/Qt2S+aw4Q8GiMYG7xgP7pwOxTy3SrA1YUd9CSRAEQRBMhUNq27ekFbpuWYk7IyxatAjz58/HggULVAwdLWbvv/++SiRh+ZX0wkrhxp+JLWZY28/aaBnFLDzN9jjscUhLYPOyBbDsqD+2nAsUMZjVYQmj/dOA7d8DEUH6bSUaA61GiyVQEARBsJ4YZFxevXr1VOxcaqArl02fMyoG2d+P1kHN3Vu5cmWVxEHLHsWglsQQEBCQoNkzn7PFTHKw/YtxCxhaH20Bilwut2/fxtGjR9Gwob5JeIvy3koMbj4TgM/bl7f2NAVzwljA63v1QpC1Alt9A/i1lELRgiAIgvXdxMuXL0eBAgVSNdbd3R2mgGVMEpdyobuYTaIJs4cpCBlnp4k/Cjs2lh46dCgyI7QOrly5UrmKNTHYuEx+ONrnUO3pLt8LRSkvN2tPUzAlj+/ou4W4Pf3/1eY7oFRzoMYA/XZBEARBMCOpykb4448/VGJGapk+ffozcXzpoVOnTipGcO3atbh27ZoSpEwe6datm6EcC93GY8aMwapVq3Dy5EkMGDBAWde6ds2csVVJF592xAtPYwW3nA2w2twEExMbA+z5BZhSC9gwIn577iJArVdECAqCIAi2YxlMa3zeyy+/DFMwefJkVTfwrbfeUoWOKfLeeOMNfPnll4Yxw4cPV/F1r7/+uio6TWva+vXrzZ75a+4kElo3jWlZ3hu7Lt7H5jOBeL1xKSvNTjAZd08CK4cBd47rnz+6BkQ/ARzN1+VGEARBEJIihy4DjWZPnTqFHTt2qCxfdv6oWbMmMiO3bt1CkSJFcPPmTRQuXNiqcwkODkaePHlUDUXGPmqu+VuPwtHwh22wywEcHtkKeXKlLn5TsDFiIoGdPwK7fwbiYgAXT6D1t/rG7mbqbiMIgpBVsaX7d2Ym3XefqVOnokWLFkoMbtu2Dc2bN1cuXSFj0B2vZTazVqJG4TyuKOfjjjgdsO18oJzmzMi9C8C0hnoxSCFYvjMw7CBQo78IQUEQBMH2xSBVtzFTpkxRJVBY/oWxfHTNMutYyDjM3E4sBkmrCvo4zM0SN5g5cfcGIkOAXAWAXn8Cvf/SbxMEQRCEzCAG2eVj0qRJyn1J8uXLpwQgO3mwg8fmzZvh5eVlzrkiu4tBlpghOy/cR2RMrFXmJqSRoJv62oGELuGXFgJvHwAq6NsnCoIgCEKmEYPMbj1//rxqmcbiz2wT9/PPPyNnzpzInTs3/vnnH8ydO9e8s80msA2fds6jo6MN26sU8oSXuzNCI2Ow/8pDK85QSF3x6Bn6TOFjC+K3F6wO5MwjJ1AQBEHIfHUGPTw88Ouvv2Lv3r0YNGiQihHctWuXSh7hQkEomAb2YWYSyaNHj1Q/5lq1aqntdnY50KJcAfx98KZyFTcuI5ZYmyQkAFj5FnBps/75xY1AdX0LRUEQBEHI9AkktFodOnRIiZXq1atj586dIgRN/aXY2eGFF15I0lXMEjNky9lAg8tesCGu7gKmN9ILQQcXoN2PQM851p6VIAiCIGRcDMbExCjL4DvvvIM5c+bg888/x+rVqzF+/Hj07NlTlUERzB832MAvP1wc7eAf9ASnb9tGGz0BALvi7BoP/NkZCA3Qt5J7fQdQ93VpJScIgiBkDTH46quvqgziXLlyqY4kH3zwgXJnbt26FW3btlXi5bfffjPvbLMRyYnBnE72aFpGX3tw/am7VpmbkAR3jgJbRgO6OKDqy8BrW4AC5eRUCYIgCFlHDLJf7tKlS/H9999j06ZNqkWcsVD877//VAyhYLpOJGy3xzZ8d+8mFH1tK/mox/WnRQzaDIVqAs1HAJ0nA11/BZxcrT0jQRAEQTCtGGSv4Y0bNyIqKkpZA1laxhh2yliwwChrUsgQTNipVKlSktbBZuUKwNE+By4FhuJSYIicaWtxcgkQdCP+eeOPgRoDxC0sCIIgZE0xSBcxO4ywlMybb74pBaat6Cr2zOmI+qXyq/UNpyVW0+LExQIbvwCWvgosfBmICrf8HARBEATB0mKwVatWKkmELkv2AtRq4QmWF4MJXMUSN2hZIoKBBb2Bvb/on5dpo88aFgRBEITsUFqGMWzSZcTyYpClfOieT9yaLkcO4KR/MG49EsuURXh4Bfi9JXBpk14AvjgbaPGF9BUWBEEQsr4YrFGjhiqAnFoaNmwIf3//jMxLeFp8Om/evIiIiFDFp43J7+aM2sXzqnVxFVuAW4eB31sB9y8A7gWBweuBSj3kOhUEQRCyRwcStp+jGKEwSe149iwWMgYtsbQOMnObnV9q166d4PV2lXxw4OpDbDh1F682LCGn21ywuPf6T4Dw+4BPFaDvYsBd76YXBEEQhGzTjq5Fixap7nhBESOYBsZmUgzu2bMH7733XoLX2lT0wderz+Dg9YcIDIlAAXeJXTMLvJ57zgW2fQe0+x5wdjfPcQRBEATBVsXg1atX07zjwoULp2c+QiIaNWqkHtn2j2LcWGgXzJ0TVQt74vitYGw6E4C+dYvJ+TMV/OFz6xBQ5Kk11rMQ0HWqnF9BEAQhe4rBYsVEZFgLuoadnZ1VJvelS5dQunTpBK+3qeSjxCCzikUMmrB0zNqPgMNzgO4zgSo9TbVnQRAEQcjc2cSC5XFxcVHdSDTrYGLaVtTHru27/ADB4dEWn1+WIzYaWPY6cPgP/fNoydQWBEEQsjYiBjORqzipdn8lvdxQxtsNMXE6bD4rBagzRPQT4J9+wKklgJ0D8OIsoObAjO1TEARBEGwcEYOZgMaNG6vH5Ho/t63kqx7Xnbpj0XllKSJDgPk9gQvr9TUE+yyU0jGCIAhCtkDEYCaA5WXs7Oxw5cqVJOs3dqyiF4M7LtxD8BNxFaeZ6Ai9ELy2C3ByB/otBcq0NsVXJwiCIAhZTwzevHlTtaPTOHDgAN5//33MmDHD1HMTnuLh4YHq1asnax0s4+2O0gXcEB2rw8bTd+W8pRUHZ6BwLcDZExiwEijeUM6hIAiCkG1Isxh8+eWXsW3bNrXOPsXsWUxBOGLECHzzzTfmmKPwnLhB0rFKQfW45oS4itMMy/W0Gg0M3QMUrinXmyAIgpCtSLMYPHXqlCG7ddGiRahUqZLqjjF//nzMmTPHHHMUEtUbTIqOVfWu4j2X7uNRWMI+xkISRIYCW77Ru4g1QZi7iJwqQRAEIduRZjEYHR2t6t6RzZs3o3Pnzmq9XLlyuHNHrFLmFoMU4w8fPnzm9VJebijv66GyijeIq/j5WcML+wC7xgMr3jTTNyYIgiAIWVQMVqxYEdOmTVPuyk2bNqFt27Zq++3bt5EvXz5zzFEA4OXlpQQ3YWu6pNASScRV/Jw6gosHxSeL1Htbri9BEAQhW5NmMfjDDz9g+vTpaNq0KV566SVUrVpVbV+1apXBfSxYx1Xc6Wnc4N7L93E/NFK+hsTExQErhsaXj3n5H33iiCAIgiBkY9IsBikC79+/r5bZs2cbtr/++uvKYihYr95g0XyuqFLYE3E61hyUrOJneg2vGw6cXKwvKN3rT6B4A7lcBUEQhGxPuuoM6nQ6HD58WFkIQ0JC1DYnJye4urpm+xNqCcsgz31YWFiKruK1J27Ld2HMjnHAwZnMFAG6TQfKtJHzIwiCkA2ZOnUqihcvrtq91q1bV1VESSlPgpVSSpUqpcbTG7p+/foEY6iDWGKvWLFiyJkzJ+rXr4+DBw8+o5u+/PJL+Pr6qjEtW7bExYsXkWnF4PXr11G5cmV06dIFw4YNw7179wzu4//973/mmKPwFF5oRYsWRUxMDPbt25fkeWlfWS8G9199iMDHTzNlBaBkU8DFE+gwHqj8opwRQRCEbMg///yDDz/8EKNGjcKRI0eUuGvTpg0CAwOTHD9y5Ehl+Jo8eTLOnDmDN998E926dcPRo0cNY1577TWVQ/HXX3/h5MmTaN26tRJ7xk0ixo0bh19++UV5UPfv349cuXKp40ZE2Mh9WpdGunTpouvXr58uMjJS5+bmprt8+bLavm3bNp2fn58uM3Lz5k0dTwUfbZ0BAwaouX7++efJjuk6dbeu2CdrdH/svmLRudk8ofetPQNBEATBivfvOnXq6IYNG2Z4HhsbqytYsKBu7NixSY739fXVTZkyJcG27t276/r27avWw8PDdfb29ro1a9YkGFOjRg3diBEj1HpcXJzOx8dH9+OPPxpeDwoK0jk7O+sWLlyoswXSbBlkvBqVMt3CxtDkmlSrNMG0NG/eXD1u3bo12TFSgPoptw4Dd0/Fn5hcku0uCIKQFaGr9vHjx4YlMvLZJMqoqCgVZkWrnQZbvbZs2TJZbxv3Q/ewMXTz7t69W63TUxcbG5vimKtXr6omHcbH9fT0VC7q5I5radIsBuPi4tQHTwxb1Lm7u5tqXkIyNGvWTD0yHkGL10xMh8q+qobyoeuPcOtRePY8lw+vAAt6An+0A/yPWHs2giAIghmpUKGCEljaMnbs2GfGMPGV+sXb2zvBdm9vbyXWkoKu3AkTJqj4PuofuoOXLVtmqKtM3VOvXj2MHj1aldjj/ufNm6dEnjZG23dajmvzYpC+8IkTJxqe58iRA6Ghocr/3r59e1PPT0gEYwYZyMoLLrmsYh9PF7xQQm8FW3U8GyaShD0A5r0IhD8A8pYA8pex9owEQRAEM8J4vuDgYMPy2WefmWS/kyZNQunSpVWdX3pE3377bbzyyivKoqjBWEEmiBQqVEg15WBsIEvvGY+xddI80/Hjx6uix1ThDHxkr2LNRcwkEsE2XMXdqhdSj8uP+KuLNNsQEwn80xd4eBnwLAq8vBhwdrP2rARBEAQzQgudh4eHYdE6pRmTP39+2NvbIyAgIMH2gIAA+Pj4JNvwYcWKFaqCBxNoz507Bzc3N5QsWdIwhgaaHTt2KMPYzZs3VXYys5C1Mdq+03JcmxeDhQsXxvHjx/H555/jgw8+QPXq1fH999+rzJoCBQqYZ5ZCmsVg28o+cHKww8XAUJy58zh7nEGK3rUfAjf2Ac6eQN/FgHtCs7wgCIKQPaFlr2bNmtiyZYthG12/W7ZsUa7elGBMIC1/jBFcunSpqqiSGGYIs3TMo0ePsGHDBsOYEiVKKNFnfFzGNTKr+HnHtRQO6XqTgwP69etn+tkIaYobPHbsGB48eJBkG0APF0e0Ku+NtSfvYMVRf1Qs6Jn1z+7+6cDReUAOO6DnbKCAvn2fIAiCIBCWlRk4cCBq1aqluqYx7C0sLEy5fsmAAQOU6NNiDinY6PmsVq2aevzqq6+UgBw+fLjhhFL40QNXtmxZXLp0CR9//LFyK2v7ZDgd6xCOGTNGuZwpDr/44gsULFgQXbt2zZxikG3nkoIflsrZz89PfVDBfDDolD2iT58+rUzT3bt3T3Jcl2oFlRhceew2Pm1XHvZ2ObJ2q7kL6/TrrUYDfvFZW4IgCIJAevfureojswA0kzco8tavX29I7rhx40aCWD+Gw7GCypUrV5R7mLkRjBHMnTu3YYwWo8hE2rx586JHjx749ttv4ejoaBhD8UjRyW5tQUFBaNiwoTpu4ixka5GD9WXS8gaeJAq/xG/TtvGRH5I+9jx58iAzwC+wSJEiytdPN3hm4N1331VFMFn4e8qUKUmOiYqJQ53vNiMoPBrzXq2LhqXzI0sTGw2cWgpU6c0L0tqzEQRBEMxMZrx/2yJpjhlkWnXt2rXVo5a1w3XWy1mzZg127typXJfSjcQyruKU4gYZM8gyM2T50SxaAzI2Jn7d3hGo2keEoCAIgiCYUwy+9957quZOixYtVPYOF67/+OOPyk/eoEED5YOnQBTMR5MmTZQV9uzZs4ZaRillFa8/dQdPop6tD5mpoXV6ySBg3adATJS1ZyMIgiAI2UMMXr58WaVtJ4bb6FMnDJBkcUfBfDAugZncZNu2bcmOq1ksDwrnyYmwqFhsOpswrT3Ts28KcHY1cPB34P55a89GEARBEMzO5s2bleFNK3bNMjYWF4NMy6YFkAGYGlxncCTdx4SVuunDFyxTYiYlMUjroWYdZFZxluH6PmDTKP1627GAT2Vrz0gQBEEQzA5zBai5mDdw7do1fP3115YXg7NmzVJ99hioycxhLlznhH7//Xc1hoUXmX0jWL/eIOlSTS8Gd1y4hwehz/ZrzHSEBgKLBwG6WKByT6D2a9aekSAIgiBYBFdXV1XDkOVxZsyYoSyFFi8twzo6bPuyceNGXLhwwbCtVatWhnRsW6mbk9Vh1jZrPtI9z8W4IroxfgXcUKWwJ07cCsaaE3cwsH5xZOqEkSWDgdC7gFc5oNMkSRgRBEEQsg337t3D4sWLlfbiEhUVZZ2i0xR9bdu2VYtgPZi8U79+fZXBTXH+5ptvJjuWrmKKwSWHb2VuMbj9O+DaLsDJDej1F+CUy9ozEgRBEASL8dFHH6kahT/99JNqjxcZGYlevXqhcuXKakmPQS5dYpCFE1nsmMUZEytS1r8TLEfr1q2VGGQF9JTEIF3F3/17Fif9g3H2zmOU9302CShT4F1J32qu00TAq4y1ZyMIgiAIFoWtgI1h6N6pU6fUsmTJknSJwTQXnWYPYlbgDg8PV6KQWa3MHKYPm72JtYzizERmLlp56NAhlbjDbG5+D8YVzxPz5l+Hsf70XQxuUAJfdqqATEv4Q8A1r7VnIQiCIFiZzHz/Ti+s7+zpadoWs3bpUaSdOnVSjZhz5syJ//77D9evX1dZxjRZCpalRo0aqjex1vQ6JXrV1v9HWXHMX3UnyTTw9woFoIYIQUEQBCGbkidPHhQrVkwZ5phVzPZ4NNTRXWwxMXjs2DHlr2bcoL29vTo4Vfm4cePw+eefp3siQvrg98DkHUJXcUo0Lu2FAu7OeBgWha3nAjPPKT8wE5haF7iU8YwpQRAEQcjMDB06FPnz51e1BsuVK4fDhw+rkn8lSpRQzy0iBumG1LKG6RZm3CChyZJmWsHytGnTRj0yiSQlHOzt0K2GvszMksOZ5Lu6ewrYOBIICwTuX7L2bARBEATBqkydOhUrVqxQXtmFCxeie/fuqrzM7du3sWvXLsuIQXa9OHjwoKEl2pdffon58+fj/fffR6VKldI1CSFjaJZBfi/sC50SPWvqi4FvO38PgSERtn3qo58AS18FYiOB0m2Aum9Ye0aCIAiCYHXokWWNQS5z585Fu3btVNk/Ly8vy4jB7777Dr6+vmr922+/Vb5rmixZ92b69OnpmoSQMQoVKqSEOHOBnld8kjUHaxTNjdg4HZYfsfGOJJu/Au6dA9y8ga6/Sj1BQRAEIdtz9uxZZRn84YcfVPcR1nwOCAjA6dOn031u0lxahhWvNegmZq0bwTZKzDCtnK7i3r17pzi2Z60iOHIjCIsP38LrjUuqlnU2x9WdwP5p+vUuvwK58lt7RoIgCIJgdSpWrIgqVaqo2oIffvghypcvn2IlEbNYBtkCLSgo6JntzGbV2qMJ1osbZBLJ86oFdaziCxdHO1wKDMXRm89+l1YnMgRYMUy/XvMVoHRLa89IEARBEGwCVm5hBZeVK1eqMDE2n3jllVcwfvz45yaSmkwMbt++PcnWJxEREekOXEwJf39/9OvXT5VPYSkbVtdmbT0NCh/GLdJ1zddbtmyJixcvIrvRqFEjuLi4qPNFE3JKuLs4ol0lvat/8aFbsDkoZks0AnIXA1qPtvZsBEEQBMGqMFlk9erVOHDggLIGzpo1S5WTo3t40aJFKomE2oxlZszqJj5x4oRhnUGKd+/eNTyPjY1V7mLGrpkS1jJk6nSzZs2wbt06FRhJocc4RQ2WtPnll19UACXTqr/44gtlJeMcKY6yCxTCjRs3Vm5i/jKoUCHlotI9axXG8qP+WHP8Nr7sWAE5nexhM7h46GMEnzwCnN2tPRtBEARBsBrMGB40aBCio6NVWBcTeTVNRKh9uLAGdLrRpZIcOXLo7Ozs1ML1xIurq6tu1qxZOlPyySef6Bo2bJjs63FxcTofHx/djz/+aNgWFBSkc3Z21i1cuDDVx7l58yb9quoxMzN+/Hj1Odq0afPcsbGxcbpGP2zVFftkje6fgzd0NkHUE36p1p6FIAiCkEnIKvfvlChbtqxu0KBBuvPnz+s2b96sq1mzpm7w4ME6U5JqNzF7312+fFm5ZWmm5HNtoWuSMYODBw+GKVm1apVKWOnZs6dKVqEanjlzZoI50UJJ17AG6x3WrVsX+/btS3a/LJTN+WpLSEgIsgJt27Y1uPLZKjAl7OxyoE8dfZmZBfv1tSKtzpr3gQW9gMd3rD0TQRAEQbAJ2OZ31KhRKFOmDFq0aIF58+bh77//NukxUi0G2fqkePHiiIuLUwKNz7WF8XrsRmKOE/Dbb7+hdOnSyvXJEjbvvvuucgkTzVXt7e2d4H18buzGTszYsWOVaNSW57lUMwvMKOJ3RLG7ZcuW545nzUEHuxw4djMIZ24/hlVhd5HjC/WPwZmkILYgCIIgmJmYmBi4uroanrPLCLVYSjrH7KVlCOP2tm3bhsDAQDUhY5jMYSo04cnahoSWQZZPmTZtGgYOHJju/X722WcqAFODls2sIAgZS9CxY0dMmTIFa9euRefOnVMc7+XujDYVfbD25B0sOHAdY7pWhlWICgPWfKBfr/smUKSOdeYhCIIgCDYIjWDMoWBJGTc3Nzg4OCA8PNx6YpBuWq0vno+PT4IadVw3pRikxTGxSKP1a+nSpWqdxyfMptEKYWvPq1Wrlux+nZ2d1aJBV3FWoUOHDgYxSJf+82oIvly3qBKDK47exufty8PVKV2/DzLGtu+AoBuAZ1Gg2QjLH18QBEEQbLhayJgxY1RIG9sBM1mEFVyYUcwwORrN3N0zlmyZ5tIynBA7j9A8eezYMRw9etSwHDlyBKaEKvj8+fMJtrHSNl3ThCeEgtDYJUphx3TrevXqITvStGlTZU6mtfP48ePPHV+vZD4Uy+eK0MgYrD5+GxbH/wjw36/69Y4TAGc3y89BEARBEGyUHTt2IDg4WOkhxgt269ZNtQNmGB1jCFlhhYYyi4pBlnthQocl+OCDD/Dff/8pN/GlS5ewYMEC1Ydv2DB9QWJavdgTmQKVySYnT57EgAEDULBgQXTt2hXZEZbT0XoVr1mz5rnjmUjyUp2i1kkkiY0GVr8L6OKASi8CpfXzFgRBEAQhIcyf6NOnjyqpx9azDx8+VIm9LD1DgWhRMUghyFp2lqB27dpYvny5+qDsvTt69GhMnDgRffv2NYwZPnw43nnnHbz++utqfGhoqKp5mJ1qDCblKk6tGCQv1iwMR/scOH4rGKf8g2ExHvsDkaFAzjxA2+8td1xBEARByAKUKFFC6TIttyK95GB9mbS8gZm4EyZMUIKD3UAS98Njtm9m49atWyhSpAhu3ryJwoULI7NDFzE/By2ndOezLM/zeHvBEaw5cUfFEH7XzYKJJFHhwL1zQKEaljumIAiCkCXIavdva5FmMUgVmuzOcuRQ5WAyG1nxYqpRo4aK45wzZ06qMq/3Xr6Pl2fuRy4ne+wf0RJuzlZIJBEEQRCEbH7/tgZpdhMbF5tOvGRGIZhVYYkZwqzi1MBEkpL5cyEsKharjpk5keTiJmD/DCA2xrzHEQRBEATB9GJQgw2RmdnCYoiC7cYNslg3+xk+D1p16SImf+67psrSmIXoJ8DaD4F1HwP7p5nnGIIgCIIgpJo0+wJZ5JAJG1oXEJZ6KVmypNpWqFAhfPrpp2ndpWAGmEzDJtb37t3D7t270axZs1Qlkvy08TzO3Q3BgasPUbdkPtNPbPdEfU1Bj0JAzUGm378gCIIgZBE+NGqQ8TyYz2ExMcjuHaxfx/63Wi9cwsKHX331lYhBG4GFKdu3b69E++rVq1MlBnO7OqFb9UJYeOAm5u67Znox+PAqsPtn/XrrMVJTUBAEQRBSgLH/xrCeMz2yZcuWNRjk2A64Zs2asKibeMWKFarDRcOGDRN0t6hYsaKqdyPYDl26dDF8Z6l1+w6sX1w9bjgdgNtBT0w7oQ2fA7GRQInGQMWM1UQSBEEQhKzOtm3bDEunTp1UsWkmzVAUcmHiDI09WmiYxcQg3Y5JlSoJCwt7buszwbK0bt1a1Vtkcs+JEydS9Z5yPh6oWyIvYuN0mL//uukmc2EjcP5fwM4BaP8TgxRNt29BEARByOKMHz9elfdjxxENrrPxBl+zqBhkDzzjDFVNAP7+++/ZtgWcrZIrVy60adNGrbN4d2oZ9NQ6SHdxRHRsxicSFwts+Ey//sJbgJfevC0IgiAIQupgu10a5BLDbexbbFExyCrXn3/+OYYOHar81pMmTVIWqD/++EP1LBZsC61FTVrEYKsK3ijo6YKHYVGqEHWGsbMHXpytdw03GZ7x/QmCIAhCNryfv/LKK1i2bJlyFXNZunQpXn31VXTv3t2yYpCxgseOHVNCkB1I2JqObuN9+/ZlOIBRMD2MMWBwKd3Eqa0D6WBvh74vFFPrc/eaqMyMb1Wg5xzA2T3j+xIEQRCEbMa0adPQrl07vPzyyyhWrJhauM5k3l9//dWyHUiyIlm9gnmLFi2wdetW/PTTT/joo49S9R5aBV8YuwVRMXFY9lZ91CgaH6OQJsIfAq550/deQRAEQcjG9++kYI6GlrBbqlQpFRKWUdJsGfz3339VIePEcNu6desyPCHBNlzFeXM5oXPVggbrYLq4dwH4uSKw/jPpNiIIgiAIJoDir0qVKmoxhRBMlxhkUenY2GeTCmhglILTtl1iZu/evQgICEhzIsm/J+8g4HFE2g+86UsgOlxfX9Beeh0LgiAIQkbYtWsX+vXrpxJ2/f391ba//vpLNZewqBi8ePEiKlSo8Mz2cuXK4dKlSxmajGAeaEJnFjgF+6pVq1L9vkqFPFG7eB5Ex+rSbh28sgO4sE5fSqb16LRPWhAEQRAEA0wWYYWQnDlzqmLUkZGRantwcLBK7rWoGPT09EwyEYFC0FTmSsE2XMVkSKOS6nHef9cRFhmT+lIyG0fo12sNBvKXTuNsBUEQBEEwhvUEmUQyc+ZMODo6GrY3aNBAFaC2qBiky/H9999P0G2EQpCJCZ07d87QZATzi8EtW7aoWkWppWV5b5TInwuPI2Kw+NDN1L3p+N/A3ZOAsyfQRHpVC4IgCEJGOX/+PBo3bpykkS4oKMiyYnDcuHHKAki3cIkSJdRSvnx55MuXT2WrCrYJvyP2MoyKisKaNWtS/T47uxwY3LCEWp+955rqTJIiMZHA9rH69cYfAblM3N9YEARBEDLA1KlTUbx4cdWhq27dujhw4ECyY6Ojo/HNN9+orF2Or1q1KtavX59gDPMovvjiC6WH6MLl2NGjRycoyzZo0CDVpMN4YUmYtODj45NkOB7jBUuW1HvxLOomZiICu5C89dZbyiJIaxNLl+TOnTtDkxHMy4svvqgeFy9enLb31SiMPK6OuPEwHBtP30158J0T+nIy7gWBOq9nZLqCIAiCYFL++ecffPjhhxg1apRyrVLctWnTBoGBgUmOHzlyJKZPn47JkyfjzJkzePPNN5WnjTF7Gj/88AN+++03TJkyBWfPnlXPaTjje4yh+Ltz545hWbhwYZrmPmTIELz33nvYv3+/EpO3b9/G/Pnz8b///U81AskQujQQFRWls7e31508eVKXlbh58yblu3rMyhw/flx9TmdnZ11wcHCa3vvThnO6Yp+s0XWduvv5g0MCdbrr/6V/ooIgCIJghvt3nTp1dMOGDTM8j42N1RUsWFA3duzYJMf7+vrqpkyZkmBb9+7ddX379jU879Chg27w4MEpjhk4cKCuS5cuGfpO4+LidGPGjNHlypVLlyNHDrW4uLjoRo4cqcsoabIMMmCxaNGiSZaWEWwfdoyhe58ZSGnJKiYD6hWHk70djt4IwuHrD1Me7OYFFK2bsckKgiAIQiphb17Gw2uLlmlrDMOkDh8+jJYtWxq22dnZqefsopYU3A/dw8bQFWxcyqV+/frKQ3rhwgX1/Pjx4+p1dgsxZvv27apjG0O2aMl78OBBmr5fWgNHjBiBhw8f4tSpU/jvv/9UX2K6pDNKmt3EnAh7E3MyQuaCF1KvXr3U+qJFi9L0Xi93Z3SrXkitz9x59dkBYQ+AqztNM1FBEARBSAMseccwNm0ZO/Zp7LoR9+/fV8Ysb2/vBNu9vb1x927SIVB0IU+YMEGV1YuLi8OmTZtUb2C6eTVYY7lPnz7K2EKjWfXq1VWibd++fRO4iP/8808lGulG3rFjhxKLaTGuNW/eHF9//TWcnJzU561Tpw7c3Nzw6NEj9VpGSHMlYPrEGcBYsGBB1RcvcTmZjKY3C+aFYpDBsOwYw+yjtMR5vtaoBP45dBMbztzF9QdhKJbP6LvfPQHYNwWo+ybQ7gfzTF4QBEEQkoDxfIUK6Q0WxNnZ2STnadKkSSpWj0KPBhUmh7zyyiuYPXu2YQyNK4zdW7BgASpWrIhjx44pMUidNHDgQDWGYtHYS8fuIdwXrYVsGZsaOPbkyZMqXpHH0/QXLZ4UlxYVg127ds3QAQXrwguVvyj4H2flypWGCzU1lPZ2R9OyXth+/h5+33UVo7tW0r8QfAs4MFO/7tfKTDMXBEEQhKRxd3eHh4dHiqcnf/78sLe3f6YTV0BAgMrUTQovLy+sWLECERERyq1LgUdLoHH27scff2ywDmpi7/r168o6mdw9lu/nfGhcS60YJJs3b8Ybb7yBF154AatXr1ZZ0aYgzWKQGThC5qZ3797qe+SvmbSIQfJG41JKDNJC+E4LPxRwdwF2/ADERgLFGgB+qb+oBUEQBMFS0L1as2ZN5arVDFt0/W7ZsgVvv/12iu9l3CAtjyw1w04gWsgVCQ8PV7GHxlB0ct/JcevWLSUufX190/QZOJ5WQFona9euraqDsHScxWMGCd2Lv//+Oz777DND7CDdw1qfPMG26dmzp3rcuHGjijVICy+UzIsaRXMjKiYOs3ZfBR5eAY7O17/Y4ksGJppjyoIgCIKQYVhWhh085s6dq8rAMJEjLCxMiSsyYMAApW00WMaFMYLsvMa+wIz9o8gbPny4YUynTp3w7bffqpJ7165dU52+GGeoNXsIDQ1V1kMmfPB1ik828PDz81MxiamFbmrNBU6XNMvMcD6//vprxk9MesqTeHl56fz8/HQODg66y5cvq+0jRozQ9e/fX5cZyS6lZYypXLmy+syzZs1K83s3n7mrysxU+GKdLnLJUJ1ulIdO91d3s8xTEARBEEx5/548ebKuaNGiOicnJ1Vq5r//4kuhNWnSRJWB0di+fbuufPnyqiRbvnz5lM7x9/dPsL/Hjx/r3nvvPbVPlnopWbKk0kSRkZHq9fDwcF3r1q2VdnJ0dNQVK1ZMN2TIEN3du3fT9MWylExAQECCbUuWLFGlZuzs7NK0r2f2zX/SIh6Zgl2jRg1VUJE+eqZQ0/fNQtQvv/yyUr2ZDZprixQpgps3b6Jw4cLILj0OWTGdv0oSV1N/Hrxk2k3ahdCAy9jh8hHsdbHAq5uBIrXNNl9BEARByM737+vXr6vPmtglzTIzLJmT1rCvDLmJDx48qIIXE0NfenKp2YLtocU7MBiVdYrSAk3VbzXzgw8e4rYuP2JKNBMhKAiCIAhmhBVcEgtBUqlSpQwJwXQlkNBXzYKOiWGxRWbdCJmDMmXKKAsvYz2ZSDJs2LA0vb9DZV9M2FgDzR78iK8LFUR8NSVBEARBEEwV48ii0iwjw/WUYJyixSyDnTt3VnXqmFGjWYlu3LiBTz75BD169Ej3RATL079/f/U4b968NL/X3i4H3mxSCjFwwC8HghEZI11pBEEQBMGUsKagpre4ntzC2oYZIc0xg8HBwXjxxRdx6NAh1f6FNXfoHq5Xrx7+/fffZ4pQZwayU8yBMfze6N5nZhSrqzOzKVUE3QAub0Vkpd5oMn4v7j6OwNjulfFSnaLmnrIgCIIgILvfv01Nmi2DbPPCdiwsdvjLL7+o2jwUgax7kxmFYHaGRTZbtdIXiWY181SzawKw+j04r3kXQxrrC29O23EZMbHJ11QSBEEQBME2SXPMoEbDhg3VImRu+vXrp1rT0VX85ZdfGuoYJUvQTeDoU7dyzUF4qWARTN12CdcfhGPlsdvoUVN+mQmCIAiCKXhenKCpYgbTJQZZMPHnn39WBRsJq1+zDx/LzgiZC1Zhd3V1VS1xDhw4gLp166b8hr2/AHHRQPFGQPEGcAUwpFFJ/LD+HCZvvYgu1QrCwT5dtcwFQRAEQTCC8YCp4bmGHFOLQVa6ZtVrxg3ykbCqdvv27ZVATGtWqmBd3NzcVJV0uolpHUxRDIbdB478pV9v/D/D5gH1imHmriu49iAcy4/6o2etIhaYuSAIgiBkbbZt22aR46Q5gYQBmmzInLiP39SpU/Hdd99lypZ02T0AlUWn27Vrp5pm3759G46OjkkP3PotsHMcULA6MGRbgtZz03dcxth151A0ryu2fNQEjmIdFARBEMxMdrx/nzlzRlVxiYqKSmAZZFs8i1kG2ZeYvfAS07p1a1VeRsh80L3v7e2NgIAA1a+4Q4cOzw6KDAEOzNCvN/zgmR7E/Z9aB288DMeyI7fQu7ZkFguCIAiCqWB/ZHryTp48qcSfZsvTXMSxsbGWrTPIJsyJWblyJTp27JjuiQjWw8HBAS+99JJa/+uvp27gxIQ/BArVAPL5AeWe/Z5dnRzwRuNSan3y1kuIipHMYkEQBEEwFQzNK1GiBAIDA1Ws/+nTp7Fz507UqlUL27dvt6ybmD1tf/rpJzRo0EDVFtRiBvfs2YOPPvoIHh4ehrHvvvsuMgPZ0cycGPY15AXFDjN37txBnjx5kh4Y8Rhwif+OjXkSFYtG47bhfmik1B0UBEEQzE52un/nz58fW7duRZUqVVSZPyZ9li1bVm2j/kptsolJ3MSzZs1SQoE+ay4auXPnVq9p0GyZWcSgANWajhfYiRMnsHDhQrz11ltJn5ZkhCDJ6WSPN5uUxJi1ZzFl6yX0qFEYTg6SWSwIgiAIGYVuYHd3d7WuxfhTDLJn8fnz5zO07zSLwatXr2bogIJtQvE+ePBgVSJo9uzZ8WIwLg7YOwmo+hLg7vPc/fR7oRim77wC/6AnWHz4JvrWLWb+yQuCIAhCFqdSpUo4fvy4chWz8se4cePg5OSEGTNmoGRJfQOI9CJmG8FA3759VSYxXca84BTn/wU2fwVMawTE6vsjpoSLoz3eaqqPHfxly0XlOhYEQRAEIWOMHDlStY8l33zzjTLONWrUSHWBY0e4jCBiUDBAs3OXLl3UOq2DYDjp7p/1L1bvB9gnU3ImES/XLYpCuXMi4HEk5u67JmdYEARBEDJImzZt0L17d7Xu5+eHc+fO4f79+yqhpHnz5hnat4hBIQF0FRMWoI68tBvwPwTYOwMvDE31mXJ2sMcHrcqo9V+3XUJw+PMtioIgCIIgpI28efNmuPtIhnoTC1kT1ossVKiQKh6+6teR6OkJoEpPwK1AmvbTrXohzNh5GRcCQjFt52V80rac2eYsCIIgCNmBiIgIlehJa6DmMjYu/ZdeRAwKCbC3t8egQYPw7bffYvaavejZ1xV4IZnM4hSwt8uBj9uUw5A/D+GPPVcxqH5xeHu4yNkWBEEQhHR2CxswYIByDSeG1kGLFp0mu3btQr9+/VSdQa39HIsV7969O90TEWwHikGy4VIMbnrUAbwrpms/LcsXQM1ieRARHYdJWy6aeJaCIAiCkH1455130LNnT1ULmFZB4yUjQjBdYnDp0qUqiDFnzpyqwGFkZKTaHhwcrHoTC5kfBqY2qVIMrEY+57pvuvfDXyqae/ifgzdx5V6oCWcpCIIgCNmHgIAAfPjhh6p9rKlJsxhkB5Jp06Zh5syZqgyJBjuSHDlyxNTzE6zEax+PUY+/r9iRoV8cdUrkRfNyBRAbp8P4TRdMOENBEARByD68+OKLGW47Z7KYQVa5bty48TPb2RolKCjIVPMSbOCiYwHqGzduqBpGnTp1Sve+Pm5TFtvOB2LtiTt4reEjVC+aTKs7QRAEQRCSZMqUKcpNzFC9ypUrJzDIkYx0fUuzGPTx8cGlS5dQvHjxBNsZL5jRCtiCDeB/GPQPuxSuiVdeeUX1oaYlOCNisLyvB7pXL4ylR26pVnVL3qxnklR4QRAEQcguLFy4EBs3boSLi4uyEBrfRzPaAjjNbuIhQ4bgvffew/79+9XB2Rtv/vz5+N///oehQ1Nfi06wUTaNAn5vDuyfjtdff11tWrduXYbbENI6mNPRHoevP8Lak3dMNFlBEARByB6MGDECX3/9tcrRuHbtmrova8uVK1cytO80i8FPP/0UL7/8Mlq0aIHQ0FDlMn7ttdfwxhtvqEwXIRNz5wRwbReQwx4o1wGlS5dGq1atoNPpVO/DjODj6YI3mugtx9+vO4eIaGlTJwiCIAipJSoqCr1794adnen7haR5j7QGUp0+fPgQp06dwn///Yd79+5h9OjRJp+cYGEOTNc/VugCeBZWq2+++aZ6nDVrlroQM8LrjUvCx8MFtx49wR97pE2dIAiCIKSWgQMH4p9//oE5cEhPu7JJkybB3d0dFSpUMGwPCwtTlkHV01bIfDx5BJxcql+v+4ZhM2MFCxYsqMIBli1bhj59+qT7EK5ODspd/NHi45i67RJ61iqM/G7Oppi9IAiCIGRpYmNjMW7cOGzYsAFVqlR5JoFkwoQJlrMMzp07F0+ePHlmO7f9+eef6Z6IYGWOLQRingDelYAidQ2bebExDID89ttvGT4M29RVKeyJ0MgYTJBSM4IgCIKQKk6ePInq1asrNzE9s6z1rC3Hjh1DRki1GHz8+LEKWmT8WEhIiHquLY8ePVLlRwoUSFv/2rTy/fffKzc1S54Y9+kbNmwY8uXLBzc3N/To0UMVZhTSAPsbHvxdv177VcYCPJM0xItv586dOH36dIZOrZ1dDozsoLco/33gBs7dfSxflSAIgiA8h23btiW7bN26FRYRg7lz50bevHmVGCtTpgzy5MljWPLnz6/cxxRl5uLgwYOYPn26Mo0a88EHH2D16tVYvHgxduzYodyZ3bt3N9s8siSP/YGYSMDJHajc65mXCxcubGiAzTpHGYWFqNtV8kGcDvhm9Rn1A0MQBEEQhKSJjo5WibsXL5qntWsOXSrvxBRaHNq8eXPVko7CUMPJyQnFihVTsWXmgFnLNWrUwK+//qo6oFSrVg0TJ05UlkovLy8sWLBAFUkm586dQ/ny5bFv3z688MILqdr/rVu3UKRIEdy8eVMJn2xJbAxw/3yyfYhZ06hZs2aqDSHPl/H3nx5uPgxHywk7EBkThykvV0fHKua5dgRBEISsS3a6f3t5eWHv3r2q0oepSbVlsEmTJmjatKmqZ9OlSxf1XFvq1atnNiFIaHHs0KEDWrZsmWD74cOHlVo23l6uXDkULVpUiUEhDdg7JCsECb9nWmUZG/r7709dyhmgSF5XDG1aSq1/u/YswiJj5OsSBEEQhGTo16+fquxhE9nEtACS8PBw1aoscbmRxG7cjPL333+rnsd0Eyfm7t27yipJF7YxbOLM15IjMjJSLRqMgcy23DsP5C0J2CfMSkqMFqvJcAC6itks28EhzZdPAt5sUkp1Jbn58AmmbLuET9qWy9D+BEEQBCGrEhMToyq2bN68GTVr1kSuXLlMlk2c5rs5awqyTRm7UiSX+mwqaPZlt5NNmzap9iumYuzYsaqKd7YnJgqY2wnIYQf0XwEUSFmMvfTSS/jkk0/U97J8+XLVIzEjuDja48uOFTHkz0P4fdcVvFizMEp5uWX7r0UQBEEQEsMMYobMkQsXLiR4LaMtXtNcWobWoaCgINWOjvFj69evV+Vm6MNetWoVTAndwIGBgerD0wrFhbGLv/zyi1qnBZCWSc7HGGYTs4dycnz22Wcq3lBbzpw5g2zJuTVAaACgi9NbB58DBblWhJq1Jk1By/IF0KysF6Jjdfhq1WlJJhEEQRAEC2cTp9kyyAOuXLkStWrVUuVG6DZmyzIPDw9lcWNsn6lg5gzr6hhDqyTjAmmhYtAo6+Bt2bJFlZQh58+fV+5rxjEmh7Ozs1o0WB4nW3LoaYHwGgMBB6dUvYX9p1niZ8+ePTh06JC6DjICf82M6lQRey7txK6L97Hh9F20reSboX0KgiAIQlYkKChIxQ2ePXtWPa9YsaIK3/L09LSsZZCdRrR6giwrQ7cxqVy5sortMyXsclKpUqUEC33krCnIdX74V199VcWvURnTkkixSCGY2kzibMv9i0/7ENsBNQem+m2+vr6qN6IprYPF8+cy9C0eveYswqMkmUQQBEEQjKEBplSpUvj5559VS2AujBPktozqrzSLwbJlyyrrG6lataqq/efv749p06YpoWBpeFI6duyoLIONGzdW7mG2TROew5Gn3WJKtzb0IU4tjOMk7JHIuo6m4K2mfiiUOyf8g55g4mbz1FESBEEQhMzKBx98oGr+Xrt2TekcLqzwQg1k3IzDrHUGNebNm6cyWgYNGqQscW3btlXqlFm9c+bMMViNMhPZqU6RIjYamFAeCLsH9FkAlEu7a5/Ce9euXfj4449Vr0RTsO1cIF6ZcxB2OYBVbzdEpUIZM3sLgiAIWZvsdP/OmTOnaj3HUDljmPfAkC1WebGYZZB1bigECVObr1+/rsq+8IvIjEIwW3J1p14IunnrLYPpYPjw4eqRFmEm4ZiCZuUKoFPVgqozyWfLTiImNs4k+xUEQRCEzI6Hh4fKiUgM9RfD6jJCmsXgN998k0B9urq6qmxfxvLxNSET4NcCeGMn0HHic+sLJkf79u1RoUIFVaORgtBUfNmxAjxcHHDSPxhz9l4z2X4FQRAEITPTu3dvlSfBEC0KQC6sxfzaa6+p0m8WFYOsz8f2cImhQJTafZkI36pAufbpfjszyTXrIFsDGhfxzghe7s74vH15tT5+4wXcepR+s7cgCIIgJGbq1KkoXry4KpdWt25dHDhwINmTxC5nNHQxSYPjmSvBknqJ6yt/8cUXKFGihHLlcuzo0aMTlErj+pdffqlyKziGndPS2mf4p59+Qvfu3TFgwAA1fy701LId7w8//JCxL1qXRnLkyKELDAx8ZvuWLVt0+fPn12VGbt68yW9MPWZ5YmNNtqvIyEhd4cKF1bmbOXOmyfYbGxun6zltr67YJ2t0r/xxQBcXF2eyfQuCIAhZh7Tev//++2+dk5OTbvbs2brTp0/rhgwZosudO7cuICAgyfHDhw/XFSxYULd27Vrd5cuXdb/++qvOxcVFd+TIEcOYb7/9VpcvXz7dmjVrdFevXtUtXrxY5+bmpps0aZJhzPfff6/z9PTUrVixQnf8+HFd586ddSVKlNA9efIkzZ85LCxM7ePEiRNq3RSkWgzyZOXJk0dnZ2dnWNcWDw8Ptf2tt97SZUayjRikEJxSV6db9oZO9/iuSXY5fvx4de7KlCmji4mJ0ZmKiwEhutKf/6sE4apj/ibbryAIgpB1SOv9u06dOrphw4YZnsfGxiqxN3bs2CTH+/r66qZMmZJgW/fu3XV9+/Y1PO/QoYNu8ODByY6hQcPHx0f3448/Gl4PCgrSOTs76xYuXKizBVLtJqYrkPVsKCDpDmZJF21hzNju3buV6VWwYa7tBO6dBc79CzhnLNhUY8iQIao3NFvjmLIDjV8BNwxr5qfWR606jfuhpnFDC4IgCNkTdixjFRS6aI1Dnlq2bIl9+/Yl+R6GQCVuh0s3LzWPRv369VXzC61F3PHjx9Xr7dq1U89Z/uXu3bsJjss6yXRRJ3dcYzhHe3v7FBd2ZcsIqX73wIH6wsT0iTdo0CDDBxasWFuwSk/AydUku2QG01tvvYXvvvtOdSbp2rVrhnskagxtWgrrTt3Bubsh+HLlKfzat6ZJ9isIgiBkLZjMaNxNLHGnMXL//n0V38dWtsZ4e3vj3LlzSe63TZs2yhDGcmqMBaToY30/7kfj008/VcdmyRcKM7727bffom/fvup1CkHtOImPq72WEsuXL0/2NYpJtuiNi4uzbAIJb/5aGxTC1nQUAJ9//rlS3YKNEv4QOLtav15jgEl3/e6776pfTgzC3bRpk8n26+Rgh596VoWDXQ78e/Iu1pwwTYFrQRAEIWvB6ha0tmkL2+OagkmTJqF06dJK6LGe8ttvv606ndFap7Fo0SLMnz8fCxYsUJ1A5s6dq5I9+GgKunTp8szC+bC2M4/Ts2dPQzMQi4nBN954w2AKvXLlikp1ZnmZxYsXG7JLBRvkxCIgNgrwqaLPJDYh/HXz5ptvqnWGEKSxjnmKsPD0W0/dxV+uFHexIAiC8CwsvMyat9ry2WefPTMmf/78ynIXEBCQYHtAQIDqXpYUXl5eWLFihWrFy7rKtCC6ubmhZEl9C1XC5gu0Dvbp00e15u3fv7/qFqIJUm3faTlucrDrF8OzeBw2ADl27JgSncWKFbOsGKQQrFatmlqnAGzSpIlSw1SoS5cuzdBkBDNyfIH+sXp/s+ye/xlokt+7d6/qE21K3m7mh/K+HngYFoUvVpwyqdgUBEEQMj/0WrIos7YkdhETWvbYLIOuXg26V7ds2YJ69eqluH96vwoVKqQEGLUOrXPGpfWMLYWEolNz3TK8jqLP+Lh0K+/fv/+5x9WgwP3kk0/g5+eH06dPq32tXr0alSpVgilIsxjkjVj7gJs3b1bFhwnbwdAfL9ggAWeAO8cBO0egUg+zHKJgwYLq1woxdfFxvbu4inIXrztFd/Edk+5fEARByB58+OGHmDlzprKmMeRt6NChyupH1y9hDT9jqyIFG2ME6QllC1a24KUGMvaEdurUScUIrl27VvUNZowf4wy7deumXmccPXsHjxkzRiVanjx5Uh2H902G2T0PtnylJXLNmjVYuHChMro0atTIpOclzVkg7H/HD8SsmB07duC3334zZMskDo4UbIRcXkDzkUDYAyBXPrMdhr9aZsyYoa4LLrQam4qKBT3xdnM/TNx8USWT1C2RFwU8EmZ4CYIgCEJKMLTt3r17qgA0kzfo6Vy/fr1Bv7Ddm7GVLyIiAiNHjlRikO5hGsD++usvVUVDY/LkyaroNJMpAwMDlchjSB2PoUHxSNH5+uuvIygoCA0bNlTHTZypnBR0QTODmVZBitjkYhEpWtNLDtaXScsbTpw4oTJkeMKosEeNGqW2v/POO3jw4IFyGWc2slOja3PDX1ksNdS8efMEJnFTEB0bh65T9+D07cdoUsYLc16pbbLMZUEQBCHzkR3u34MGDUrVve6PP/6wnBhMDqpn+sgdHdPX69aaZIeLyVIwwJa/XhhXQZM6f/2YkkuBIejwy25ExsThq04VMKhBCZPuXxAEQcg8yP0b1okZTA6aOjOjEMzy7PsVOLUMiH5ikcMxo4m/YohmNTYlfgXcMaKDvnfxd+vO4fzdEJMfQxAEQRCyEyYTg4INEhkKbB0NLHkFuHvKYodlfAV/GGzdutXkrmLS/4ViaFbWC1ExcXjv76OIjIkv/ikIgiAIQtoQMZiVYZHp6HAgbymgcC2LHZbWQa3u4IgRI0xeCoaxE+NerIp8uZxUd5If12es2KYgCIIgZGdEDGZlji/UP1Z9iQrKoodmRxoWI2daPmshmRovd2eMe7GKWv9991XsvihljQRBEATBImKQNeRYYDExT548MXl9OSEDBN8Cru7Ur1fpZfFTyQKb7733nsE6mNG+iUnRorw3+tYtqtbf/+cYAkMiTH4MQRAEQcjqpFkMst1YaGjoM9spEPmaYEPt56ADijUA8mSsTU1GupKwR+SpU6fw999/m+UYIztUQFlvd9wPjcQH/xxDbJx0JxEEQRAEs3cgSarezfHjx5E3b9607k4wB4zRO/5UfFXtY7VznCdPHkOVdhbfjI6ONvkxcjrZY2rfGnB1sseeSw8wZeslkx9DEARBELIydmm5sVPsUQiWKVNGrWsLrT+tWrVCr16Wd0cKSRARBDi7Aw4uQIX4/onW4N1330WBAgVw+fJl1QLIHPgVcMOYrvr+jBO3XMDeSxI/KAiCIAgmLzrN9iccOnjwYEycOFEJQOPmz8WLF091w2VbI8sWrTRz+7nUMmXKFNWhxsvLC5cuXVJNxM3B8CXHsejQLZVc8u+7jdSjIAiCkHXJsvdvC5PmDiTsOdugQQM4OKS5rbHNIheTeaF7uFKlSrhw4YJqAP7dd9+Z5ThPomLRZepuXAgIRQO/fPhzcF3Y20m7OkEQhKyK3L+tFDPIRstJFRLesGED1q1bZ6JpCekmJAB48simTiALUI8bN06t//zzz6qvtTlg/OCvfWsgp6M+fnDCJqk/KAiCIAgmF4OffvopYmOf7fhAAyNfE6zMrvHAj6WBfVNhS3Tu3BmNGzdWPaxZasZcsF3d9z0qq/Wp2y5j/am7ZjuWIAiCIGRLMXjx4kVUqFDhme3lypVT8WCCFYmNAU4vB+KigXylbeqrYOLR+PHj1fq8efNw+PBhsx2rS7VCeLVhCbX+0aJjuBQo/YsFQRAEwWRikIkjV65ceWY7hWCuXLnSujvBlFzfDYQFAjnzACWb2ty5rVWrFvr27avWP/roI5O3qTPms3bl8ELJvAiLisXrfx1GSITpy9oIgiAIQrYUg126dMH777+vSoUYC0He3OkKFKzIqaX6R5aTcXCyya/i22+/hbOzs0pEWrZsmdmO42Bvhykv14Cvpwuu3AvDh4uOI04KUguCIAhCxsUgEwFoAaRbuESJEmopX7488uXLh59++imtuxNMRUwUcGaVfr1SD5s9r8WKFVOdSciHH36YZGtDU5HfzRnT+tWEk4MdNp0JwGQpSC0IgiAIpnET7927F2vXrsVbb72lLILMLt66dSty586d1t0JpuLyVn2xaTcffQs6G4blZYoWLaqyir///nuzHqtqkdwY00VfkPrnzRew9sQdsx5PEARBELK8GNSSAVq3bq0KCQ8bNkxliQo24iKu2A2ws4ct4+rqakgmoaU5qRhUU9KrdhEMbvA0oWTxMZy4FWTW4wmCIAhClhaDcXFxGD16NAoVKgQ3NzdcvXpVbf/iiy8wa9Ysc8xRSA2txwDtxgHV+2WK89WjRw+0aNECkZGRyl1sbkZ0KI9mZb0QER2H1+Yewt3gCLMfUxAEQRCypBgcM2YM5syZoyw6bEOnwQ4Tv//+u6nnJ6QWd2+g7huAj94lauvQuvzLL7+oTjYrV67E+vXrzXo8diL55aXqKOPthsCQSLz250GER8WY9ZiCIAiCkCXF4J9//okZM2aoEiH29vHuyKpVq+LcuXOmnp+QhWG9ynfffVet85EFqc2Ju4sjZg2sjby5nHDK/zE+/EcyjAVBEAQhzWLQ398ffn5+SbqP2YNWsDBR4cD8XsCh2UBs5jv/o0aNgq+vrypmbq6excYUyeuK6f1rwsneDutP38W3/541+zEFQRAEIUuJQVpzdu3a9cz2JUuWoHr16qaal5BaLm8BLm4Adv0M2DlkuvPm4eGh3MWEmcVnz5pfnNUunhc/9qyi1mftvorfd5k3gUUQBEEQbJk0q4cvv/wSAwcOVBZCWgNZOPj8+fPKfbxmzRrzzFJInjMr9Y8VOjMQL1OeKSaTdOzYUV0/b7zxBrZv3w47u3QluqepZR2TSMauO4cxa8+igIcLOlctaNZjCoIgCEKW6UCyevVqbN68WRWfpjikNYfbWrVqZZ5ZCkkTEwlc2BDfdSSTwmSSqVOnquuJVufZs2db5LivNy6JQfWLG3oY77103yLHFQRBEIRMJwbpxtOC+1kouGHDhti0aRMCAwNVB4ndu3eruoOChbmyHYh8DLj7AoVqZerTzyLULFlE2KEkICDAIiL0i44V0L6yD6JjdXjjr8M4c/ux2Y8rCIIgCJlODLIO3OPH+psk28/du3fP3PMS0uIiLt8JMLNb1RKwiHmNGjUQFBRkyDI2Nyw5M6FXNdQpkRchkTEY9McB3HpkvhZ5giAIgmBrpEpBFCxYEEuXLsX169eh0+lw69YtZSFMahEsBDOHz63N9C5iY1hzcObMmapk0aJFi1RSkiVwcbTHzP61DDUI+/6+H4GPpSi1IAiCkD1IlRgcOXIk3n//fZQsWVK51mrXrq0shMZL8eLF1aNgIcLuAwWr613ERetlmdNOyyB7F5OhQ4eqUARL4OnqiD8H10WRvDlx/UE4+s3aj4dhURY5tiAIgiBYkxw6mvpSQUhIiLIMVqlSRSWP5MuXL8lxLD6d2aCls0iRIrh58yYKFy6MTJdE4uCMrERUVJT6wXHixAmVabx48WL1I8QS3HgQjp7T9yLgcSQqFfLAgiEvwMPF0SLHFgRBELLR/TszikGNuXPnok+fPnB2zjoCRC4m2+Po0aOoU6cOYmJi8Pfff6N3794WO/alwFD0nr4PD8KiUKtYHvz5ah24OmW+Go6CIAhZHbl/m4Y0Zx2wxuCTJ09UH2K68x4+fKi2HzlyRNUeFCxAsD/w+E6WPtUsYD5ixAi1PmzYMItkF2v4FXBTAtDDxQGHrj/C638eRkR0rMWOLwiCIAg2LQbpuitTpgx++OEH/PTTTyrzk7D4tBbrJZiZPZOACeWBnT9m6VP9+eefo1q1anjw4AHefPNNlbxkKSoW9MScwbQI2mP3pfsYOk8EoSAIgpA1SbMY/OCDDzBo0CDVS9bFxcWwvX379ti5c6ep5yckJi4OOLsagA7wrpylz4+TkxPmzJmjsoxXrFiBP/74w6LHr1E0D2YNrA0XRztsO38Pr/8lglAQBEHIeqRZDB46dEi1DEtMoUKFcPfuXVPNS0iOO0eBkNuAkxtQqlmWP09MSNKKUbMOIVsfWpJ6pfJh9qDayOloj50X7uG1uYfwJEpcxoIgCEI2FoNMHNEKUBtz4cIFeHl5mWpeQnKc+1f/6Ncyy2URJwc7kjRr1kx1u3n55ZdVtrElqV8qP+a8UtvgMn5lzgGER8VYdA6CIAiCYDNisHPnzvjmm28QHR2tnrPkB4tNf/LJJ6oMiGBmzq/TP5Ztn21ONYtQ//XXX6qcEROVtMQSS1K3ZD78ObgO3Jwd8N+Vhxg0+yBCI0UQCoIgCNlQDI4fPx6hoaEoUKCAyipu0qQJ/Pz84O7ujm+//dY8sxT0PLoGBJ4GctgDpVtlq7PCMIRZs2apdSYusTe2palVPK/KMnZ3dsCBaw8xYNZ+BIfrfxQJgiAIQrYRg56enupGvHr1avzyyy94++238e+//2LHjh3IlSuXeWYpJLQKFqsPuObNdmelS5cuqisJGTBggFV6ZDOpZN5rdVXZmSM3gtBr+j4ESOs6QRAEITsVnc6KZJqileEPgYubgJy5gTJtkB2hNbpWrVo4c+YM2rRpg7Vr1yo3sqU5d/cxBsw6oHoZs4XdX4Pronh++TEkCIJgSTLN/TsrWQbj4uIwe/ZsdOzYEZUqVULlypVVDOGff/5p0Rpw2RZaA6v2zrZCkOTMmVN1JOHjhg0bMGbMGKvMo5yPB5a8WR/F8rni5sMneHHaPpy+HWyVuQiCIAiCRcQgxR6F32uvvaY6jVAIVqxYUfUrZt3Bbt26ZWgigpBaeO1Nnz5drX/99ddYv369VU5e0XyuWPxmPZT39cD90Ej0mf4f9l95YJW5CIIgCILZxSCL/7Ko9JYtW1Tf2IULFyoLzfHjx7F582Zs3bpVWQgFM7H9e2D3RCBEajmS/v37G7qS9O3bV/0osQYF3F3wzxsvoE6JvAiJjMGA2Qfw78ms3SpQEAQhMzN16lQUL15cNc6oW7cuDhw4kOxYVk5hBZVSpUqp8ax9m9gAwX2xskriha1UNZo2bfrM67yHZToxSPHH9mCs95aY5s2b49NPP8X8+fNNOrmxY8eidu3aKlOZ2ctdu3Z9puhwRESEOuEsO+Lm5qbK21iyj61FiIkE9k4BNo8Cgm9ZezY2w8SJE1X8IPtjv/jii+pasAYeLo6q7EzL8t6IjInDW/OPYPqOyxI6IQiCYGP8888/+PDDDzFq1ChVqozirk2bNggMDExy/MiRI5UnavLkySpWnQKOnlAaxTQOHjyIO3fuGBat2kXPnj0T7GvIkCEJxo0bNw6ZTgyyJ3Hbtm2Tfb1du3bKSmhKmKFMoffff/+pk0uF3rp1a4SFhSVoj8fM5sWLF6vxt2/fRvfu3ZGluLYbiAoB3LyBgjWsPRubgQXQlyxZgrx586rOOO+9957V5uLiaI/p/WtiUP3i6vnYdefw+fJTiI6Ns9qcBEEQhIRMmDBBibJXXnkFFSpUwLRp0+Dq6qryIZKCNW5pCGPL3ZIlS6qKFlxnmT0NNtzw8fExLGvWrFGWRJbeM4bHMR7n4eGR+cQgrS/e3t7Jvs7XHj16BFNCUyzjERmbSPVOVzULXB8+fFi9HhwcrGrP8culdbJmzZqqf+3evXuVgMwynH/adaRMW8AuzdWAsjTFihVTFmma3GfMmKEWa2FvlwNfda6IUZ0qIEcOYOGBGxg85yBCIqQWoSAIgjkJCQlR3dG0JTIy8pkx7F5F/dCyZUvDNjs7O/V83759Se6X+6F72BgmMO7evTvJ8TzGvHnzMHjwYHVfMob3qvz586sE3M8++0x11bIVUq0sYmNj4eDgkOzrLO8RE2PejgwUf4SWIMIvldZC4y+2XLlyKFq0aLJfrPblGl80vIhsFmZpa/UFy3Ww9mxsElqstf7FtCRv27bNqvN5pUEJzOhfS/Uz3nXxPnpO24dbj2znP70gCEJWg1Y+1kHWFoaZJeb+/ftKyyQ2bHl7e+Pu3aTj8elCpsHp4sWLqqIKvZTLli1Tbt6kWLFiBYKCgpQhyxi2UqVI5P2JQpAWx379+sFWSF7dJYKB+vxwdM0lRVIq3JTwS3j//ffRoEEDpaoJvzwnJyfkzp071V8s4UXCLNRMwZ3jwGN/wNEVKNHY2rOxWWjGP336tIptZfzg/v37VWcca9GqgjcWvVEPg+cexLm7Ieg8ZQ9+7VsDL5TMZ7U5CYIgZFUYz8dOVRrJaZW0MmnSJOVWpqGJlj66f+liTs6tTG8lw+YKFiyYYPvrr7+eoCKGr68vWrRogcuXL6t9ZhrL4MCBA1USh7HyNl74GrtCmAtafE6dOqUymDMKVTmtjNrCi8hm0ayCpZoDjjmtPRubhf9J+Z+QCUcMaWAZJM2SbC0qF/bEymENUKmQBx6GRaHf7/sxd+81SSwRBEEwMUw0ZQyetiQlBumipRczcZJpQECAiuFLCsYD0trHXAVWrTh37pxKVmX8YGL4OqursATf82AWM7l06RIylWWQsXjWgi3vGJDJ0jbGFcb55dE/T5OssXUwpS+W8CIxvlDoKrZZosP1VkHGCwopwjiOlStXKkF49uxZ9OnTRyUXpRTeYG4K5s6JxW/Ux6fLTmDlsdsYteq0Kk49umslODtYvnOKIAhCdoWeROYWsEQeq5NoXsctW7YonZESjBuk5ZGhaUuXLkWvXr2S1Ek0jHXo8PyQrmPHjqlHWghtAZvORqBrml/Q8uXLVR3DEiVKJHidX6qjo6P6IjVYeoZJJvXq1UOWoPVoYPhVoPKL1p5JpoD/sSgIKQyZgMQSAtbujpPTyR4Te1fDiPblYZcDWHToFnpP/w93g61TCkcQBCG7wnvCzJkzMXfuXGU0YHZwWFiYcv0SejjpPdRgyBFjBK9cuYJdu3apGHUKyOHDhyfYL7dRDNKLmtgAQVcw49qZ53Dt2jWsWrVKHadx48aoUqUKbAKdDTN06FCdp6enbvv27bo7d+4YlvDwcMOYN998U1e0aFHd1q1bdYcOHdLVq1dPLWnh5s2bVAvqUcgaLFq0SH2nXMaNG6ezFXacD9RV+WqDrtgna3Q1R2/U7b54z9pTEgRByLSk5/49efJkpRucnJx0derU0f3333+G15o0aaIbOHCg4Tn1R/ny5XXOzs66fPny6fr376/z9/d/Zp8bNmxQ8zh//vwzr924cUPXuHFjXd68edV+/Pz8dB9//LEuODhYZyvk4D+wURKnZWtQfWuZOiw0/NFHH6nEASaxMPPn119/TdFNnGkaXYc/1PcjFtIFM8B4bRBbyty6/iAMb/x1WCWW8BJ/t3lpvNuitCpNIwiCICDz378zGTYtBrP1xRQbA/xYEnDzAfovAzxtZF6Z0CXw888/K7P9v//+i1atWsEWiIiOxVerTuPvgzfV8wZ++TCxd3V4uZsmA04QBCE7YJP370yITccMZmtuHQQigoGwQMDdNgJMMyM//fQTevfurWpgsjONcQsha8KOJd/3qIKfe1dV9Qj3XHqA9r/swr7LD6w9NUEQhHRD+1JgeCAO3j2IpReWYsLhCfhw+4eIiTNvHWIhY1gvzVJImYsb9Y9+LQE7yTpNL6wuz0Bh9p1ksU/Wf2LleGvWIDSmW/XCqFzIU/UzvhAQipd//w9Dm5TC+y3LwMlBfqsJgmCbgu9BxANcf3wdNx7f0D+G6B9vhtzEk5gnz7znTugdFPEoYpX5Cs9HxKCtclHf6Bp+tuHWzMywjBAz0pm5xR7bLPTJMkVsZWcL+BVwx4phDZTbmJnGv26/rDqXTOxTDaW83Kw9PUEQsinBkcG4EnwFuRxzoUyeMmobxd6Lq15EeEzyXZXsctihYK6CKOZRDEU9iqrHXE65LDhzIa2IGLRFHt8GAk4ypBPwa2Ht2WQJWBh948aNShBeuHDBIAgTV4m3Fq5ODhj3YlU0K1sAny47iZP+wej4y26M7FgeL9cpmmwylSAIQkYIigjC9ZB4C1+vsr1QwLWAem3B2QX49fiv6ObXDd80+EZt42u0/OVADhR0K4ii7kUNgk+JP/eiKORWCI72jvLFZCJEDNqyVbBQTSBXfmvPJsvANoWsSUlByLpP7Gm9Y8cOVWHeVmhX2RfVi+bBR4uPqTjCEctPYdu5e/iueyUUcE/YLF0QBCE1hEWHKaGX1PI4KmHThapeVQ1isLhncfjm8oWbU7yHwtneGau7rVbbneyd5AvIIogYtOV4wdKtrT2TLAezzSgIGzVqpAqOtm7dWhU0z5MnD2wFH08X/DW4LmbvuYpx689j89kAHJzwEKM6VUC36oXESigIwjNExkYiJCoE+XPqDQjRcdEYsnGIEnz3n9xP8Yx5u3or6x6tenlzxpcza1einVoSQwugkLUQMWiLVO8P5MwNlH32P6GQcdjJRrMQsiUQy83QhZw3r+3UdLSzy4HXGpVEA7/8+HjJcZzyf4wPFx3HmhN38G23SvD1lD7VgpDdYEYuEzGuPb4Gv9x+8HXTV5pYf209hu8Yjrq+dTGz9Uy1zdHOUbl+NSGY1yUvinsUN8TxcZ2PRdyLIKeD/D3J7kidQalTlG05efIkmjdvjvv376uWQGwwbksuY43o2DjM2HkFkzZfRFRsHNydHVQsYa9aRcRKKAhZjDhdnCrNQiFH0adl7HL9VugtQ4mWL174QsX3kWOBx9B/XX8lEJd3WW7Y197be+Hp5KlEn7uTO7IiUmfQNIgYlIspW3P69GmVTBIQEIAKFSooi2FautdYkosBIfh4yQkcuxmknjf0y48xXSuheH7J0hOEzMzvJ3/HmQdnUizNYhyzR3E3oMIAdPXrqrZFxUYpFzGtf9kt2UzEoGkQMWhrF9N/04DCtYGC1ekrtO5csgnMLqaF0N/fH2XKlFExhIUKFYItEhunw6zdVzB+4wVExsSpWoTDmvrhjSYlVSFrQRBsK3GDljxPZ0/1/ErQFYzcM1LV6VvYcaFhXN9/++LEvROG5/Y57FHYvbAhO1e5dz2LoZh7MXjn8lalWwQbvH9nYkQM2tLFFHQTmFgJ4H/04VeAnLaT1JDVuXLlihKE169fR8mSJVUMYalSpWCrXL0fhi9WnMLuS/p4oBL5c+GbLhXRqLTtubkFIasnbtx8fFOVZ9EydK8FX1NFmBmv91rl1/BejffU2ICwALRc0lKJvYP9Dqq4PrLy0kpV04/ZuxSALNmivSZkkvt3JkcSSGyJK9v0j7QMihC0KBSArDtIQciyM/Xr18f69etRvXp12CIUf3+9WkcllIxec0aJw/6zDqBDFV982bECvD2kDI0gmBrG5p1+cFqJPa3rxu3Q29BBl+x77oXfM6yzZMuEphOU4KMg1Oji10W+LMGqiBi0JS5v1T+WbGbtmWRLihYtqlrVsWUds4ybNGmiOpcwptAWYWxQp6oF0bSsFyZsuoC5e69h7Yk72H4uEMOa+2FwgxLiOhaEdBAeHY6px6biVsgt/NzsZ4Nbdt7ZedhwbcMz490c3QxFl7UsXe3ROHGD/2dbFZOuUoLtIWLQVoiLBa5s16+Xam7t2WRbmDzCQtRdu3Y19DL+66+/0Lt3b9gq7i6OGNWpIl6sWRgjV5zC0RtBqj7h/P9u4NN25dCxim+2CyoXhORgkWVa9pidqz0yW7dS/kr4qv5XagyLKS84t0DF+90Nu6vctqSWdy2V7cs4Pk38ccmOiRtC1kLEoK1w5zjw5BHg7KHvPCJYDQ8PD6xbtw79+/fH4sWL8dJLL+H27dt4//33bfoPfsWCnlj6Zn2sOOavxKB/0BO8s/Ao5uy9hi86VkC1IrmtPUVBsAjRsdEqK1cJvqeiT8XyPb6GhxEPk3yPg51DgvW3qr4FDycP1ZdXo0+5PmoRhKyGiEFbcxGXaAzYy9dibZydnbFw4UIUKFAAU6dOxYcffohz585hypQpcHS03cBuFqvuXqMw2lbyUbUJp++4gsPXH6Hr1D3oWq0gPmpdFkXyulp7moJgMg7ePYirwVfRtkRbJd7IL0d/wZzTc5J9T4GcBVSyhlaEmeslPEokGDOkyhD5loRsg6gOW+HGPv1jKYkXtBXs7e0xefJklVzyv//9DzNmzMClS5ewZMkSm2pflxSuTg54v2UZ9KldFOM2nMOyI/5Ycew21p68g5frFFUxhdLrWMgs5VmMrXvkrWpvGV7/Ys8X8A/1R6ncpVDTW+9VochzdXA1ZOdS6Gnr6jVH+UEkCMZIaRlbSU2PjQZuHQLylQLc9E3CBdth9erVePnllxEaGqpqEa5ZswalS5dGZuHELX0coVaKJqejPV5pUBxvNC4FT1fbtXQK2QPG5lHQUezRyqd13qAAvPckPhuXMD5vR+8dhudf7f1KjXmjyhuo4lXFsD9m69pyWIeQhe7fWQARg3IxCankxIkT6NSpE27cuKEsg/Pnz1cJJpmJvZfuY9yG84YuJh4uDnijSSkMrF8cbs7iKBDMBwstP4h4oPrganF4O2/txE+HflLxfVqbtaTQ+upqrt2BFQdK4WVBIWLQNIgYlItJSANsW8dM4//++09ZHb766iuMHDkSdpmoWwxvypvPBuKnDedxPiBEbcvt6qhK0VAUeuYUS6GQfthKjdm5rL/XrGh82Mtbm9/CLv9d+K7hd+hUqpOhd+4bm95Q6y72LvHlWZ6KPq3zhhYLKAiJETFoGsQUYAvMexHIXQRoPBzw8LX2bIQU8Pb2xvbt2/Hee+9h+vTpGDVqFA4cOKDKz9h6HGGCWmcVvNG8XAGsPn4bv2y5iCv3w1Stwpk7ryhBOLhhCeTN5WTtqQo2SmxcLO6E3TFk6BpKtTy+pkqxaOx/eb8hPo9t1HIgh+rKocFyLjNazVCiT9qsCYL1EMugtX9ZBN8Cfq4oLegyIX/88QeGDh2KyMhIlWSydOlSVKtWDZkN9jv+9+QdTNl6yWApdHWyR78XiilroY+ndDPJ7lDg/XP+nwR1+aLiopIdz168FHg/NfkJPrl81Da2W3NxcIGzvbMFZy5kdcQyaBpEDFr7YjryF7DqbX0Lutc2W/bYQoY5cuQIevTogWvXrsHJyQk//vgj3nnnnUwZuB4Xp8PGMwGYvPUiTt9+rLY52OVA56oF8VqjkqhQUFx1WZGo2ChVV0/rsrHs4jIsv7hclWrpW76v2sakjs4rOid4H3vnsviycZZuCc8Saj2PS+awkguZHxGDpkHcxNZGWtBlamrUqIHDhw9j4MCBKsOY7uNNmzYpq2H+/PmRmWCNQtYnbFPRG9vOB2Lajis4cPUhlh31V0sDv3xKFDYt45UpxW52hnGiAeEBCUq0XH18Va3T3buiywol5AjduMfuHVOt1DQKuxdG77K9DaKPArBgroKwt4vvrysIQuZFLIPW/GURFwf8WAp48hB4ZT1QrJ7lji2Y/GbLgtSsRxgVFQVfX1/MmzcPzZtn7taCLEkzc9dV5UamO5mULuCGVxuWQJdqhZDTScSALcGM3HMPzyWI46Pw48LEjuSY3HwymhZpqtYvB13GxUcXUTZvWYNAFARbRSyDpkHEoDUvpttHgRlNATYy/+QqYC9ZnJmd48ePo0+fPqpbCa1ntBR+++23cHXN3EVubz0Kx5w91/D3wZsIjYwxlKV5sWYR9H2hKEp5uVl7itmOK8FXsOvWLlV2RcvOpeCrM79OkuNZd48WPuMsXW09f878Yu0VMiUiBk2DiEFrXky7xgNbvgHKtgdeWmi54wpmJSwsDB988AFmzpypnrM49Zw5c1C/fv1Mf+YfR0TjnwM38dd/13HjYbhhe0O//Oj3QlG0LO8NB/vMU2bH1mvyMVZPK75MK99rlV9DtQL6JKXVl1fj892fo5Z3LfzR9g/De/us6aMSNTShp8X0UQgyzk8QshIiBk2DxAxaE5ZcyFsSKCkt6LISuXLlUq3runXrhtdeew0XL15Ew4YN8dFHH+Gbb75Bzpw5kVnxcHHEkMYllZt458V7mPffdWw5F6g6m3Dx8XBBr9pF0LNmYemBnArCo8NxI+SGEnuM4dOEHx9Do0OfGV+/YH2DGCyXtxzaFG+DyvkrJxjzd8e/TfV1C4KQTRDLoC38smDsYCYqWiyknkePHikr4dy5c9XzcuXK4ffff0eDBg2yzGmkC3nhgRv4+8BNPAiLLzfyQsm86FWrCNpV8s3WsYVaTT6WVqmYv6Jhe6/VvXD24dlk38eafAXdCirLHnvr0rpXx7cOSnqWtNDMBcH2sfr9O4sgYlAuJsFCvY1ff/113L2rL8j76quv4ocffkC+fPmyzPmPjInFhtMBWHzoprIS6vT5JqrNXccqvnixZmHULJYny8amUexpbt1SuUupgsrkcMBhDFo/CIXcCmF9j/WG8QPXDcSRwCPI7ZxbH8OXqPNGEY8iUpNPEJ6DiEHTIGLQWhfT49tArgKAvXjqswsPHz7EJ598oiyDhEKQdQkHDRqU5QSSf9ATLDt8C0uO3ML1B/GxhUXzuqJTVV90rloIZX3ckRlr8rGPrnHHDc2t+yjykWHcoIqD8FGtjwylWlovaa2E3uKOiw3lWLgfd0d35HbJbbXPIwiZHRGDpkHEoLUuplltgIDTQM85QOmWljmmYBPs2bMHb775Jk6dOqWeN2rUCFOnTkXlygljv7JKIgRrFS4+fEuVpwmPijW8VtbbHZ2rFUSnKgVRNJ+rTc3ZWJz/deYv1UOXou922G3E6eKSfa+3q7ey6rUu3hq9yvYy7I/vkZp8gmB6RAyaBhGD1riYIkOBH4oBcTHAe8eBPMXNf0zBpoiOjsbEiRPx1VdfITw8HHZ2dhgyZAi+/vpr1f84KxIeFYMtZwOx6vht7Dh/D1Gx8aKqapHc6FTFF20q+lgs8SQsOkyVYmFZFc3NO2TjEBXft63XNtWVg3yy8xP8e/Vfw/tcHVzj3blGbl26ebU+vIIgWAYRg6ZBxKA1LqaLm4D5LwK5iwLvnzT/8QSb5caNG/jwww9VX2Pi7u6Ozz//HO+//z5cXLJuT+DgJ9HYcOquEoZ7L9/H03rWigq+HkoUtqnkrayHGXGhswjz7dDbCYowq0LMwdcR+CRQZeOyfy6h9a7u/LqIiI3A2m5rDR049vrvxa3QW6oAs9TkEwTbQsSgaRAxaI2LaeNIYO9koHo/oMtU8x9PsHl27typRCFb25FixYph7Nix6N27t7IaZmXuhUQqF/K6U3eUS9lYGBbL54rWFbyVOKxeNA/s7ZIXhleCruD4veMJhB/LtlAQJkdtn9qY3Wa24fn+O/vh5eqleu5qlkFBEGwXEYOmQcSgNS6m6Y2BO8eB7jOBKvq4IkGIi4vD/Pnz8dlnn8Hf31+dkCpVqmD06NHo1KlTlksySYqHYVHYfDYAG0/fxc6L9xEVE+9KzuPqiMZlvNC0rBdux63D7SfX8EHNDwxu3klHJuH3k/rkHGOc7Z2Vlc+4CLPm1vV09rTo5xMEwbSIGDQNIgYtfTGFPwTGsU6YDvjoPODuY97jCZmyg8mECRPw008/4fHjx2pbnTp1MGbMGLRs2TJLi0K6agPDA1WJlgsPr2DfjXM4e/8yHobmQMiNlw3jcpX6CXZO99E231d4uUpzVCmcG9tubsGi84sMJVpYm4+PPrl8YJcja1tXBSG7ImLQNIgYtPTFdGYVsKg/kL8s8PYB8x5LyPSlaCgIJ02apJJMSOPGjTFixAi0atUqU4vCoIgggxtXK83Chc+Z1JEYDycPTKi7Cjsu3MO28/dwKXItcuSIRvTjqtBF50PeXE6qJV79UvlQv1R+FMmbM1OfH0EQUoeIQdMgYtDSF9ODy8CpZYCLJ1D3dfMeS8gSBAQE4Pvvv8dvv/2GyMhIta1mzZr49NNPVcs7e3vb7e5x6dElXAq6hKpeVeHr5qu2Lbu4DKP2jkr2PQ45HFQf3QTZup7FUaNADYPAC3gcoTKSt50PxO6L9xESmTAusFDunHph6JcP9Urmh49n1k3GEYTsjIhB0yBiUC4mIRP90Rs/frzqe6xZCsuUKaMKWfft2xfOzs5WKcJ8K+SWPkP38XXce3IPw2sPN7zOUi3/3fkPoxuMRle/rmrbgTsH8OrGV1VNPrp0jRcKv0LuheBo55jqOUTHxuHI9UfYc/kB9l2+j6M3ghBjnIUCoKRXLtQrmQ+1iudBrWJ5UTiPWA4FISsgYtA0iBiUi0nIZNy/fx+TJ09WC3sfkwIFCuCNN95QxawLFixo8t66LLZ84/ENg+jT1lmTL3ER5v9e/g+5HHMZkjoO3T2E/hX6q0LMJDo2GtFx0Warycd6hgevPVIla/ZdfoBT/sEJMpSJt4ezEoVsj0eByHI2DvYSVygImQ0Rg6ZBxKAlL6Zbh4HgG0DxRkAufQakIKSXkJAQZSX8+eefDdnHDg4OePHFF/Huu+/ihRdeSHXcHLtkMHGD5VTy5dT3Sz7z4Aw+2/WZaptG8ZYcFH4sxaIydD2LoV/5fjaVpRscHo39Vx+osjWHrj9S4jCx5dDVyR7ViuRW4pDJKFULe6KAh7iWBcHWETFoGkQMWvJiWvUOcORPoN7bQJtvzXccIdt1M1mxYoWyFO7atcuwnXGFtBayVqGHh4cSfEGRQSpJg9Y9Flxm2RUyet9oLLqwCG9VfQtDqw1V224+von2y9urdSc7J1Weha5crUyL5trN55IvUyVrPImKxfFbQTh8/REOXdMLxJCIZ2sR+ni4oEphT9UdhY9VCuWGp2vq3deCINjm/ZvtP9kX/u7du6hatar628mKDcn9fWXN17lz56of3WXLlsUPP/yAtm3bGsYUL14c169ff+a9b731ljoWiYiIwEcffYS///5bxX63adMGv/76q810nBIxaEkx+EsN4OFl4OVFQJk25juOkG05cuQIxk8ajyX/LEFUZJTa5uDigMINCiNX/VxASRiE2/LOy+GXx0+tzz41G78c+QUvlXsJn9T5RG1jseYDdw8o4ZeVy7PExelwMTAUh64/VPGGJ24Fqee6RK5lUjyfKyoXzo3yvu4o7+uh3MsF3J0zlRgWBHPBH5wPHjxQwiipZdu2bfD09LTq/fuff/7BgAEDMG3aNNStW1e1BV28eDHOnz+vwm0Sw5jsefPmYebMmShXrhw2bNigGgTs3bsX1atXV2Pu3buH2Nj4vuvsO8+KD/y8TZs2VduGDh2KtWvXYs6cOeocvP3226qhAHvV2wIiBi0lBkPuAuPL8pQDn1wDcuY2z3GELA9j9CJiIgwxdyzT8s1/36g4Pq00S0xIDB7teoSgXUGIvKPPQCZO3k4o3KIwarerja/af4Vyecup7eHR4Sppw9FeLF8kLDJGuZNP3ArGCfUYhOsP9Ek7iWFZGyUOfTyUQOTiV8ANTg5ZUzwL2ZeoqChlHWMbzcSLJvi05LakOH78uCqkb837NwVg7dq1MWXKFEOx/yJFiuCdd95RFRoSwxhslvMaNmyYYVuPHj2QM2dOJRKTgu1E16xZg4sXL6ofisHBwfDy8sKCBQtUGA85d+4cypcvj3379qmQHmsj/ZYsxbXd+kefyiIEhVQlbdwNv6sEXoV8FQwxeP+c+wc/HvoRbYu3xZiGY9Q2isItN7YYEjlowSvmWwyNXm2Ewu8VRtSVKBxZcwQ71+5EWEAYriy4ohb/hv7o06eP+uNkK64KWyGXswPqlsynFo2g8CglDk/dDsbZOyE4e+cxrtwLVV1T9lx6oBYNR/scKJnfDX7ebvDzclPisLS3G0rkzwVnB9stBSRkb6seE9ISCzzj53fu3FHjnoePj49qqZnUYs4Yaq1IP2F1hcQVFihm2fKTXZ40aJ1r2bKlEmVJQZdu4j7xFIK7dz+9pyeCx6BIpPVQ8xjwmHQ38zgatDIWLVpUxGC24/pe/WPxhtaeiWAjMKtWy9KlRY8lWvjI57dCbxl66k5tMRWNCzdW6x7OHoiMjVRJHRpO9k4YVW+UasvGRI5CboUSWvjqA+gHhIaGKncI3RSMLeQfMy5MNmnRooUShl26dEG+fPECSIgnt6uTaofHRSMiOhYXAvTCkALxjHp8rGIQzweEqMUYtlYuli8XSnnpxaEmFIvnzwXPnGKVFSxj1Uss8rSF3Y+eBwUWRQyFHR+1hdY1buNjYvFkCSpUqJDg+ahRo/DVV189U4mB7tzEP369vb2VpS4pGNvHjlAs+F+qVCls2bIFy5YtS+AWNobx20FBQRg0aJBhG2MTnZyckDt37meOy9dsAbEMWorrT+MCivHOLGQH+AuaLlvNncvnX+37Sgk5Cr+7YXehY1vCZKDbtoh7EWUl1GhYqCH+7favoYCzRvfS3Z87Hzc3N7zyyitqoWuFwpDBzAcOHMCmTZvUMmTIEDRs2FCJQi784yckj4ujvco+5mL8vd969ASXAkNxMTBEPerXQ5VIvHo/TC3swZzY3VwsnyuK58tleKRIZJwihaggJAevOXYsSkrgpdWqx7i5pMSettDdaYsxsmfOnEGhQoUMz01Vd3XSpEnq7yItefzc/JvIv6GzZ89OcvysWbPQrl07k5f4MjciBi0B+xHfe/qro6iIwawEY/duh95WlrxSuUspqxzZfnM7hu8cjkr5K2F2G/0fDf4h2e2/W5Vw0cjpkFO9hxY9ZuYW8Sii1rkUcC0Ae7uELkV3J3e1ZBTG1nzwwQdquXz5sgqqXrRokYrp2blzp1qY+VaxYkUlCvnHjbE2jo5ivXoe/J6L5HVVS7Ny8QHpvBHfC4lUojBeIIbg8r0wtZ3uZi5MYkkMrYYUhbQqstVeodyuqnB2IS65cypRKmRt9y1j4vgjTlsSP8+IVU9b+HeBLtDMiLu7u6qakBL58+dXHZvY1cmYgIAA5dpOCopfWvuYDczkGIo8xhaWLFnymbG0uG7evFlZDo3hvmmZpcXQ2DqY0nEtjYhBS+CaF3j/FHDnOJBLXHCZCcbh3X9yX1nyKPj46B/qr38ecguBT+KF3Yi6I9CnXB+1nts5t7IK+ofo6/9pvFP9HVXLr7BbYdVyzRbKsvCX7ueff66Wa9euYdWqVVi5ciV27NiB06dPq+W7775Tf2ybNWuG1q1bq8XPz8/qc89M8FyxdiGXBn75n0lYYYLKtQdharl+X7/ObXcfRyD4STSO3wpWS1Lkd3NCoTyuKJw7XiByKZw3J3w9csIjp4N8VzacfZuUwDNef/Lk2X7dWcmqZynoqmXJLbp6u3btakgg2bJli8ruTQm6vml5ZOzf0qVL0atXr2fG/PHHH+o76NChQ4LtPCZ/SPM4TD4hzF6mxbZevXqwBSSbWIpWZmsYlxcQHoDQqFCUzctsbz206p2+f1p12Eip4LJWdJnirl+FfoaWa7QY0g1c0K2giunLjNAa8e+//6qsOLqQedMyhjcclk9gLE2jRo3U8+x8ozEX7Khy42E4rt0Px/UHYcoFfetROPyDnsD/0ROERSUdu2SMi6OdqptIIcpH9mr29uDirJ5zvYCHsyS3mBCKDMaopWTN40KLU2qgVYvxeLTeaUvi55nVqmfp0jIDBw7E9OnTVW1BlpZZtGiRihlkDB/LzlD0sbYg2b9/v4q1rFatmnpkHOLVq1dVGS9jKx+/7xIlSuCll15SveQTw9Iy/HvKmG1aMJm9TFiixhYQy6CQpWHvXAo6unLVEnYbtX1q4wVffSr/yfsnMWDdAOWqXd9jveF9HMtkDmKfw17V2aMlT7PoGT8y0zexCHJxcEFxz+LIzOTJk0f1PObCP3RHjx5VonDjxo0q8YQukd9//10thH+IKQq1hQHdzNQTMoarkwPK+XioJSnLEq2GeoH4xCAQ/YPCDc+DwqMRER2Ha8rymHzZDy1ukcKQlkYvN2fkc3NCfjdntSRed8ym7fvUOQ8Oxu3bt5NcKBj4yBg9WpFSA61JSQk8bZ3ixBpJGVkRFuFnXcAvv/xSJW9Q5K1fv96QVEJrnfHfLYr1kSNH4sqVKyruun379vjrr7+eSQahe5jvHTx4cJLHZaco7peWQeOi07aCWAbNbRl88ghYPhQo3gB4YRjz2E27/2wOXbh3Qu8o697/27sT2Kiq/Q/gv06nCy1dpi2UFllFJKxiKzx4ylIRF2SJKEhirRUDUcCH/FH0YUAlCiIKihBeqgGCRjZ9aCICIvCeIrIjW1lEMPyltNC9dJ3pffme9g4zXbDbdGZ6vx9yPHeb6e0cZ+bXsyKhNg4JQR8COpyvKrl3ssyKm6W2ce0jXz2iBmr8e+y/7RMrH04/rD70UbOHvnto2qWb0D8J/QrR7IHAEFMnWK3Oq3hgYtX4+Hg1p5ee433G2sPmhRHP6XnFcjW3WNLzSyQ9t1g1PSNlVObpuSVSanNeY/qvhAf5SWTwzQARAaQl2F8sQf7qHAa9WIL87PutAzy/qRoj7msL8hxTXZttAUFGTQGenhDoNdVgByPicnRNg8Ggq/9nOrNVZP0kkcg7RGYcatrnbsEwghbNs6hhAwR1a06ukWJbsbz+t9ft1yVuTZRj147d8rkwSCMmOEYFdrHBsfL39n+XhI4J6hwCPvxrqatrNGdwiOYUfcoazNlVU4d21IAgKMTM/b1795Y+ffpI9+7d1ZrK5OZBCoVlFUFjXrFkFpTK9YISySwokeuV23qOQS62Kms714XZ5OMUJCIPb+WnAkgcxyCZkEA/CQ002/NQdcwsrfx8GxxIonYONUGoBUKHfSR9W8/1IA9z1dWn5hyDCW6VMDgA/dTIdRgMNg1+AjfXlDKoGSQ1IAPr414rvKYCvGtFlXnhNbWNHJMtI3+659MyK36WvW/f2tNrxexjltcGvGYfZYspVtAMHB0cLdFB0ao5F7kK/CqDPwzmqO2LBMfxjxonODhYEhISVNK/gDHw5ODBgyodOnRITpw4IRkZGWpJJiQdviwxEz8CQyQEiVj/E30QGSQ2D7wP0ERcsZpK6F8u35dTVKYCxWsqYNSDxRIVUGJy7uwbZeoatV1YqpqpreVaZUBZsUxiffiafOxBIoLD1n4+4ldWID7FuaIV5ojtRo6UFWRJUW6m3MjJkrzsa5KbeV2yM69JdpZzX9e6/L+M2jo9oHPc1lNMTIwh++dRy8VgsNnmFzTGZNMYQbs/bb/kl+bL6NtH24+/te8t+e///1cyizLFqjk3J9YGQaEOEyojOESgZ9Ns4isVweC7973r8U1PRoSRc+iLg4Q5ugBNa5i6BsHh8ePHVXCINTxRg4jjSFWfAx2yUXN4xx132HNM6YAvaNa4uIfJdDNwvCM6pM5N1QgK0X+xap6FoDI7XzKuZUhW5nXJyc6S3OxMKcjJlsK8bLEW5oqtKE/+RF6YJ+VFSKjBq0ftpI9JfIPCxBRsEf/WFgkMi5BWoZESHB4hoZYoCW8TLZFtoiWqbYxYwkPVCjSojUTC4BtM3YNU7OcrV2y+kp1RJAHmUmnlX3Hcfp3ZV70+RN6mxQSDK1askPfee09V+/fr10+WL1+uRgq5VXFexXQyXjjZNIK67OJsySrOUgnbar8kS7KKsiS7pHK/OEse7vKw/OPuf6jHIQicsWuGGnTxSJdH7DV4eaV5qk+fzhJgkaigKGnTqo0K9JC3CWqjcr12D8d16LP38j0vV7tPBoLeAzUpWIPTcR1ODEzBQBQEhnpCjeJvv/2mOm6fO3dOpZrKHTU0+pQZjlNpoMsHmucwjQbmFKNmnGS9qEiNQr9Vwqh0NNtipK2e13VErSMfk0lCwiIk2BIlrUIjxD/EIn6tLWIKDhdTkEW0wDCxBYRKWUCoFPsGoTNItecorkxqgihUIGZmYxx9o14HrEmtB4cVuZ4q9nHe3+wr/r4mCfAzVeTqWMV2xXnnfSxhaL+m6nUOj8d1yFGTSmS4YBBDxbEO4KpVq9TEuBgqjpE6mMcHfZTc5vJ+EawXa+ksEnZzZvTm6nNXaC2UG2U3VEIwhgBMH+GaU5wj/zr+L7W02bxB8+yPe+U/r8iuy7vU8brCQA1dRGCE9IrspQI5PEeQqWL1jal9p0pSzyQV8GFuPafl0siwMLoOtX9IY8aMcQoSMSoTgSAWe3fMETxiNB7OI9W2piieGwEhOvAjONQT9iMiIlSfr6q5UZv+8Hpj8AT6zFVNWO/VcR8jaWsL9DCxbkNhEAXKC1Oo6Lnjdk3H6hrsI1AtsZZLYalNzel4o9QqN0psatoeta9vV54vKLGq2kw0byMvUtvIy6XEcb/UJsXWcim13hx8g22k3LqPMWlyaCzxM5nE7Ouj+mpi5HfFtkmtm12xX7GN8ze3b+Zm/To83mwSv8rr1PEq5/XHIwjFvi/Omxz3cY2PDOwSqWpdyfO0iAEkCADRKf3jjz+2f7ChdgDz+GCmcLd1QN35hqTv+0hKe44V24j5Uo5/5eq/qu8cmjvx8iNHnzhMg4KEKUuwmgXkluTKlt+2qJo2zGOnSzmeIqlZqSrgKyyrCPqQ6/sYaFHVpB6T5J8D/6m20U9v+Mbhqr/csaeP2QdQzP7PbNl+abt9OTQEd0iWQEtFCrDY9/VzqMlDImoOeA+hRslxfVXHbbyfcb4hH22YvgNBIRKmkUD/sVvlQUFBqrkaTdrIq2477jtOV+FYo13TNn5H9LvECO265AiOUSv3V6mwsNC+7Rj8YbupIEDTX8OaEta+rinIw2vqrTX9GFBTYr0ZHKq8MmBEQHkzmLSpoLTUMdls9m39XImt6jU4Z6vh2M1tb/gm/+H/hqp1uZsSB5A0Da8P0fGXKKa1eO211+zH8KE7YsSIWmsM8MGJpKvPCLJ6KSmQ6e3aypmCQyJbbvaf+yvP9XnO3uyKwRZLDi2R1n6tnYLBg1cPyr60mn8/RwgiMSlyqH+o0zJmYf5hMrn3ZAkNCFW1iKbKOcNmx8+WmXfPVIMu8Dhv/XCmlgvvb9TuIdXWFQRBEpofq44a1XPUYmEtV8ccC8+juRLzwyEZEQI5rDRTU8JEuXpeW6CHGlYEyUb73EDNF+aDRHIH/OFTZtNUUIjg0Gorl7JyrSK3aWItxzFcUzGQR+WVx0ut1c87Pk7lTtvOz1FW+VgExLimIq/cr3IczeTkmbw+GMQHPj7E9QkjddjHjOI1wczib775putvbtQSCfw2TYJyflM1b7UlBGzoE4eVKvxN/qrfnA4B3KiuoyTIXNHcqptw5wQZ1mGYCtiC/IIk2FyRq2QOsh/H89X0wYxm2plxM6sdZw0ftQQYhaw3C9f1yxR/FOrBIdYQRW0ZBrfUlOvbqGlDzRz+KEWqbRtJTWPkUH2jb9eUI+BFjSISfpeacsdt1Dyiidsxoday6jHHhKCtasCH40YL5FoClJm/GckkwikLyYjBYEOgFhF9DHXod4TVElxh3ajPG/V4NMMuuq/60jYjOo1o1PMSkfOXKWq8kDAYhYjISLw+GNQ7EaPpxxH2a6sVQEdlxxnf0UGaiIiIyIi8ftkFNI/ExcWpZbF06HyN/UGDBrn13oiIiIg8ndfXDAKafJOSktT6p+hQjqll0J8nOTnZ3bdGRERE5NFaRDA4ceJENZXEvHnz1GhBrHqwbdu2aoNKiIiIiKgFBoMwffp0lYiIiIjIQH0GiYiIiKjhGAwSERERGRiDQSIiIiIDYzBIREREZGAMBomIiIgMjMEgERERkYExGCQiIiIyMAaDRERERAbGYJCIiIjIwFrMCiSNUV5ervK0tDR33woRERHVkf69rX+PU8MwGBSR9PR09WIMGDCggS8jERERufN7vGPHjiyABvLRNE0Tg7NarXL06FGJjo4Wk6npWs7z8/OlZ8+ecvr0aQkJCWmy5yXXYHl5H5aZd2F5eRdvKC/UCCIQ7N+/v5jNrN9qKAaDLpSXlydhYWGSm5sroaGhrvxR1ARYXt6HZeZdWF7eheVlHBxAQkRERGRgDAaJiIiIDIzBoAsFBATI/PnzVU6ej+XlfVhm3oXl5V1YXsbBPoNEREREBsaaQSIiIiIDYzBIREREZGAMBomIiIgMjMEgERERkYExGGykFStWSOfOnSUwMFAGDhwoBw4cuOX1mzZtkh49eqjr+/TpI1u3bm3sLZCLyuvUqVMyfvx4db2Pj48sW7aMr7WHl1lKSorcd999YrFYVBoxYsRfvifJfeX11VdfSXx8vISHh0twcLDcddddsm7dOhaJB3+H6davX68+F8eNG+fyeyTXYzDYCBs2bJBZs2ap6WOOHDki/fr1kwcffFAyMjJqvP7nn3+WSZMmyeTJk9Xyd3gTIZ08ebIxt0EuKq/CwkLp2rWrLFq0SNq1a8fX2QvKbM+ePeo9tnv3btm3b5906NBBRo4cKX/++Wez37sR1be8IiIiZO7cuaqsjh8/LsnJySpt37692e/diOpbXrpLly7J7Nmz1R9e1EJgbWJqmAEDBmjTpk2z79tsNi02NlZbuHBhjddPmDBBGzVqlNOxgQMHalOnTmUReGB5OerUqZO2dOlSF98hNWWZgdVq1UJCQrS1a9fyxfWC8oL+/ftrr7/+uovukBpbXnhPDR48WPvkk0+0pKQkbezYsXxRWwDWDDZQaWmpHD58WDVD6Uwmk9rHX7k1wXHH6wF/hdV2Pbm3vMj7ywy1u2VlZaoGijy7vDRNkx9++EHOnj0rQ4YMcfHdUkPL66233pK2bduqFi5qOczuvgFvdf36dbHZbBIdHe10HPtnzpyp8TFXr16t8XocJ88rL/L+MpszZ47ExsZW+yOMPKe8cnNzpX379lJSUiK+vr6ycuVKeeCBB1hEHlheP/30k3z66ady7Ngxlk8Lw2CQiFok9PVEJ3f0I0TnePJMISEhKrgoKChQNYPow4a+usOGDXP3rZGD/Px8SUxMVIO0oqKi+Nq0MAwGGwhvBvwVm56e7nQc+7UNNsDx+lxP7i0v8t4yW7JkiQoGd+7cKX379nXxnVJjygtNk926dVPbGE2cmpoqCxcuZDDoYeV14cIFNXBk9OjR9mPl5eUqN5vNqnn/9ttvd/Vtk4uwz2AD+fv7S1xcnPpL1vGNgf1BgwbV+Bgcd7wevv/++1qvJ/eWF3lnmS1evFgWLFgg27ZtU9OWkHe9x/AYNBmTZ5UXpkQ7ceKEqsXV05gxY2T48OFqGyP3yYu5ewSLN1u/fr0WEBCgrVmzRjt9+rQ2ZcoULTw8XLt69ao6n5iYqL366qv26/fu3auZzWZtyZIlWmpqqjZ//nzNz89PO3HihBt/C+Oob3mVlJRoR48eVSkmJkabPXu22j5//rwbfwtjqW+ZLVq0SPP399c2b96spaWl2VN+fr4bfwvjqG95vfPOO9qOHTu0CxcuqOvx2YjPyJSUFDf+FsZR3/KqiqOJWw4Gg420fPlyrWPHjuoLCMP0f/nlF/u5oUOHqjeLo40bN2rdu3dX1/fq1Uv79ttvG3sL5KLyunjxooa/l6omXEeeWWaYAqimMsMfXuR55TV37lytW7duWmBgoGaxWLRBgwapAIU89zvMEYPBlsMH/3F37SQRERERuQf7DBIREREZGINBIiIiIgNjMEhERERkYAwGiYiIiAyMwSARERGRgTEYJCIiIjIwBoNEREREBsZgkIhc7plnnpFx48Y1+yu9Zs0a8fHxUWnmzJm3vLZz586ybNmyZrs3/Dz93nJycprt5xIRVWWudoSIqB4QzNzK/Pnz5cMPP8RqR255XUNDQ+Xs2bMSHBwsnuTgwYPy448/yvjx4919K0RkcAwGiahR0tLS7NsbNmyQefPmqeBL17p1a5XcGay2a9dOPE2bNm0kIiLC3bdBRMRmYiJqHARaegoLC7MHX3pCIFi1mXjYsGEyY8YM1XRrsVgkOjpaUlJS5MaNG5KcnCwhISHSrVs3+e6775x+1smTJ+Xhhx9Wz4nHJCYmyvXr1+t9zxkZGTJ69Ghp1aqVdOnSRT7//PNq13zwwQfSp08fVaPYoUMHeeGFF6SgoECdw32ixnHz5s1Oj9myZYu6Pj8/X0pLS2X69OkSExMjgYGB0qlTJ1m4cGG975WIyNXYZ5CI3GLt2rUSFRUlBw4cUIHh888/L0888YQMHjxYjhw5IiNHjlTBXmFhoboe/eoSEhKkf//+cujQIdm2bZukp6fLhAkT6v2zEZxevnxZdu/erQK6lStXqgDRkclkko8++khOnTql7nXXrl3yyiuvqHMI+J588klZvXq102Ow//jjj6tgFo/95ptvZOPGjaqmFAEn+gkSEXkcjYioiaxevVoLCwurdjwpKUkbO3asfX/o0KHavffea9+3Wq1acHCwlpiYaD+WlpaGTobavn371P6CBQu0kSNHOj3v5cuX1TVnz56t8/3gWjzmwIED9mOpqanq2NKlS2v93TZt2qRFRkba9/fv36/5+vpqV65cUfvp6ema2WzW9uzZo/ZnzJihJSQkaOXl5bU+5+7du9XPzc7OrvUaIiJXY80gEblF37597du+vr4SGRmpmmV1aAYGvcbu119/VTV5eh9EpB49eqhzFy5cqPPPTU1NFbPZLHFxcfZjeJ7w8HCn63bu3Cn333+/tG/fXtX0oZYyMzPTXlM5YMAA6dWrl6o1hM8++0w1BQ8ZMsRe+3js2DG588475cUXX5QdO3Y06HUiInI1BoNE5BZ+fn5O++hr6HhMH6VcXl6ucvTXQz8/BFiO6fz58/YArKlcunRJHn30URWwfvnll3L48GFZsWKFOoe+gLrnnntOTV+jNxGjv6N+33fffbdcvHhRFixYIEVFRao5G03IRESehqOJicgrILhCYIZ+d6jZayjUAlqtVhXg3XPPPeoY+vQ5zvWHcwhC33//fdV3END3r6qnnnpK9SNE/8DTp09LUlKS03kMMpk4caJKCAQfeughycrK4ihiIvIorBkkIq8wbdo0FUhNmjRJzdGHpuHt27er2jibzVbn50GzLYKyqVOnyv79+1Xghxo+jCzWYSRzWVmZLF++XH7//XdZt26drFq1qtpzYST0Y489Ji+//LIa8HLbbbc5jUb+4osv5MyZM3Lu3DnZtGmTGl1dtTmaiMjdGAwSkVeIjY2VvXv3qsAPgRf6F2JqGgRXeu1dXaFJF883dOhQFcxNmTJF2rZtaz/fr18/Fcy9++670rt3bzUSuLZpYSZPnqyajp999lmn4+hnuHjxYomPj1c1kGh63rp1a73vlYjI1XwwisTlP4WIyA3Qnw8BoyuXe0Ot4UsvvSRXrlwRf3//ej12z549Mnz4cMnOzmaNIRG5Df9EJaIWLTc3V408njNnTpM+L0YVo6l60aJFqsm5voEgRiJjAm0iIndjzSARtVhYCQQTUwOakzHJdVN544035O2331Yjmb/++ut6L7n3xx9/qH6J0LVrVzYfE5HbMBgkIiIiMjA2ExMREREZGINBIiIiIgNjMEhERERkYAwGiYiIiAyMwSARERGRgTEYJCIiIjIwBoNEREREBsZgkIiIiMjAGAwSERERiXH9D1BT6WB7AokbAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -912,7 +912,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/02_degradation/02_letid_accelerated_test.ipynb b/tutorials/02_degradation/02_letid_accelerated_test.ipynb index e8578f83..7afdc15a 100644 --- a/tutorials/02_degradation/02_letid_accelerated_test.ipynb +++ b/tutorials/02_degradation/02_letid_accelerated_test.ipynb @@ -23,13 +23,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:18.751013Z", - "iopub.status.busy": "2025-11-13T21:55:18.751013Z", - "iopub.status.idle": "2025-11-13T21:55:18.756533Z", - "shell.execute_reply": "2025-11-13T21:55:18.756533Z" + "iopub.execute_input": "2026-02-03T17:33:47.593749Z", + "iopub.status.busy": "2026-02-03T17:33:47.592527Z", + "iopub.status.idle": "2026-02-03T17:33:47.610847Z", + "shell.execute_reply": "2026-02-03T17:33:47.608102Z" } }, "outputs": [], @@ -43,10 +43,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:18.759537Z", - "iopub.status.busy": "2025-11-13T21:55:18.759537Z", - "iopub.status.idle": "2025-11-13T21:55:24.000490Z", - "shell.execute_reply": "2025-11-13T21:55:23.999985Z" + "iopub.execute_input": "2026-02-03T17:33:47.621487Z", + "iopub.status.busy": "2026-02-03T17:33:47.620155Z", + "iopub.status.idle": "2026-02-03T17:34:04.019838Z", + "shell.execute_reply": "2026-02-03T17:34:04.016280Z" } }, "outputs": [], @@ -66,10 +66,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.008741Z", - "iopub.status.busy": "2025-11-13T21:55:24.007496Z", - "iopub.status.idle": "2025-11-13T21:55:24.021254Z", - "shell.execute_reply": "2025-11-13T21:55:24.020748Z" + "iopub.execute_input": "2026-02-03T17:34:04.031271Z", + "iopub.status.busy": "2026-02-03T17:34:04.028489Z", + "iopub.status.idle": "2026-02-03T17:34:04.050988Z", + "shell.execute_reply": "2026-02-03T17:34:04.046757Z" } }, "outputs": [ @@ -78,9 +78,9 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.12.9 | packaged by Anaconda, Inc. | (main, Feb 6 2025, 18:49:16) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.2.3\n", - "pvdeg version 0.5.1.dev623+g51cc68b8e.d20250905\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -108,10 +108,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.089700Z", - "iopub.status.busy": "2025-11-13T21:55:24.088204Z", - "iopub.status.idle": "2025-11-13T21:55:24.096168Z", - "shell.execute_reply": "2025-11-13T21:55:24.095156Z" + "iopub.execute_input": "2026-02-03T17:34:04.156509Z", + "iopub.status.busy": "2026-02-03T17:34:04.154887Z", + "iopub.status.idle": "2026-02-03T17:34:04.169474Z", + "shell.execute_reply": "2026-02-03T17:34:04.165631Z" } }, "outputs": [], @@ -134,10 +134,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.101164Z", - "iopub.status.busy": "2025-11-13T21:55:24.100167Z", - "iopub.status.idle": "2025-11-13T21:55:24.684344Z", - "shell.execute_reply": "2025-11-13T21:55:24.683267Z" + "iopub.execute_input": "2026-02-03T17:34:04.180872Z", + "iopub.status.busy": "2026-02-03T17:34:04.179416Z", + "iopub.status.idle": "2026-02-03T17:34:05.102590Z", + "shell.execute_reply": "2026-02-03T17:34:05.098106Z" } }, "outputs": [], @@ -164,10 +164,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.691863Z", - "iopub.status.busy": "2025-11-13T21:55:24.690862Z", - "iopub.status.idle": "2025-11-13T21:55:24.698118Z", - "shell.execute_reply": "2025-11-13T21:55:24.697107Z" + "iopub.execute_input": "2026-02-03T17:34:05.113415Z", + "iopub.status.busy": "2026-02-03T17:34:05.112153Z", + "iopub.status.idle": "2026-02-03T17:34:05.127899Z", + "shell.execute_reply": "2026-02-03T17:34:05.123943Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.705282Z", - "iopub.status.busy": "2025-11-13T21:55:24.704286Z", - "iopub.status.idle": "2025-11-13T21:55:24.905961Z", - "shell.execute_reply": "2025-11-13T21:55:24.905961Z" + "iopub.execute_input": "2026-02-03T17:34:05.136686Z", + "iopub.status.busy": "2026-02-03T17:34:05.135451Z", + "iopub.status.idle": "2026-02-03T17:34:05.192585Z", + "shell.execute_reply": "2026-02-03T17:34:05.188266Z" } }, "outputs": [ @@ -222,10 +222,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.910970Z", - "iopub.status.busy": "2025-11-13T21:55:24.909970Z", - "iopub.status.idle": "2025-11-13T21:55:24.920086Z", - "shell.execute_reply": "2025-11-13T21:55:24.920086Z" + "iopub.execute_input": "2026-02-03T17:34:05.201582Z", + "iopub.status.busy": "2026-02-03T17:34:05.200396Z", + "iopub.status.idle": "2026-02-03T17:34:05.220663Z", + "shell.execute_reply": "2026-02-03T17:34:05.217107Z" } }, "outputs": [ @@ -233,7 +233,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "41.59099692285122\n" + "41.590996922851225\n" ] } ], @@ -260,10 +260,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.925358Z", - "iopub.status.busy": "2025-11-13T21:55:24.925358Z", - "iopub.status.idle": "2025-11-13T21:55:24.930393Z", - "shell.execute_reply": "2025-11-13T21:55:24.930393Z" + "iopub.execute_input": "2026-02-03T17:34:05.230995Z", + "iopub.status.busy": "2026-02-03T17:34:05.229605Z", + "iopub.status.idle": "2026-02-03T17:34:05.243229Z", + "shell.execute_reply": "2026-02-03T17:34:05.239564Z" } }, "outputs": [], @@ -279,10 +279,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.936507Z", - "iopub.status.busy": "2025-11-13T21:55:24.935508Z", - "iopub.status.idle": "2025-11-13T21:55:24.946060Z", - "shell.execute_reply": "2025-11-13T21:55:24.946060Z" + "iopub.execute_input": "2026-02-03T17:34:05.252702Z", + "iopub.status.busy": "2026-02-03T17:34:05.251300Z", + "iopub.status.idle": "2026-02-03T17:34:05.280162Z", + "shell.execute_reply": "2026-02-03T17:34:05.276438Z" } }, "outputs": [ @@ -351,10 +351,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.951213Z", - "iopub.status.busy": "2025-11-13T21:55:24.951213Z", - "iopub.status.idle": "2025-11-13T21:55:24.958549Z", - "shell.execute_reply": "2025-11-13T21:55:24.958549Z" + "iopub.execute_input": "2026-02-03T17:34:05.289897Z", + "iopub.status.busy": "2026-02-03T17:34:05.288503Z", + "iopub.status.idle": "2026-02-03T17:34:05.307428Z", + "shell.execute_reply": "2026-02-03T17:34:05.303768Z" } }, "outputs": [ @@ -386,10 +386,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.962556Z", - "iopub.status.busy": "2025-11-13T21:55:24.962556Z", - "iopub.status.idle": "2025-11-13T21:55:24.977457Z", - "shell.execute_reply": "2025-11-13T21:55:24.976450Z" + "iopub.execute_input": "2026-02-03T17:34:05.316614Z", + "iopub.status.busy": "2026-02-03T17:34:05.315328Z", + "iopub.status.idle": "2026-02-03T17:34:05.360028Z", + "shell.execute_reply": "2026-02-03T17:34:05.355445Z" } }, "outputs": [], @@ -433,10 +433,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:24.983456Z", - "iopub.status.busy": "2025-11-13T21:55:24.982457Z", - "iopub.status.idle": "2025-11-13T21:55:25.011108Z", - "shell.execute_reply": "2025-11-13T21:55:25.010604Z" + "iopub.execute_input": "2026-02-03T17:34:05.371091Z", + "iopub.status.busy": "2026-02-03T17:34:05.368679Z", + "iopub.status.idle": "2026-02-03T17:34:05.428343Z", + "shell.execute_reply": "2026-02-03T17:34:05.424542Z" } }, "outputs": [ @@ -625,10 +625,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:55:25.018250Z", - "iopub.status.busy": "2025-11-13T21:55:25.017249Z", - "iopub.status.idle": "2025-11-13T21:56:25.552350Z", - "shell.execute_reply": "2025-11-13T21:56:25.551336Z" + "iopub.execute_input": "2026-02-03T17:34:05.437420Z", + "iopub.status.busy": "2026-02-03T17:34:05.436342Z", + "iopub.status.idle": "2026-02-03T17:37:03.704863Z", + "shell.execute_reply": "2026-02-03T17:37:03.701901Z" } }, "outputs": [], @@ -727,10 +727,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:56:25.557354Z", - "iopub.status.busy": "2025-11-13T21:56:25.556349Z", - "iopub.status.idle": "2025-11-13T21:57:08.496842Z", - "shell.execute_reply": "2025-11-13T21:57:08.496842Z" + "iopub.execute_input": "2026-02-03T17:37:03.711924Z", + "iopub.status.busy": "2026-02-03T17:37:03.710918Z", + "iopub.status.idle": "2026-02-03T17:39:00.677232Z", + "shell.execute_reply": "2026-02-03T17:39:00.674387Z" } }, "outputs": [], @@ -753,10 +753,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:57:08.499967Z", - "iopub.status.busy": "2025-11-13T21:57:08.499967Z", - "iopub.status.idle": "2025-11-13T21:57:08.517589Z", - "shell.execute_reply": "2025-11-13T21:57:08.516582Z" + "iopub.execute_input": "2026-02-03T17:39:00.684828Z", + "iopub.status.busy": "2026-02-03T17:39:00.683769Z", + "iopub.status.idle": "2026-02-03T17:39:00.729595Z", + "shell.execute_reply": "2026-02-03T17:39:00.727487Z" } }, "outputs": [ @@ -1061,16 +1061,16 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:57:08.519589Z", - "iopub.status.busy": "2025-11-13T21:57:08.519589Z", - "iopub.status.idle": "2025-11-13T21:57:08.967225Z", - "shell.execute_reply": "2025-11-13T21:57:08.967225Z" + "iopub.execute_input": "2026-02-03T17:39:00.735981Z", + "iopub.status.busy": "2026-02-03T17:39:00.735147Z", + "iopub.status.idle": "2026-02-03T17:39:01.580457Z", + "shell.execute_reply": "2026-02-03T17:39:01.577775Z" } }, "outputs": [ { "data": { - "image/png": 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7778/dsyVK1fwyiuvoGLFiiqtXrBgQRWxTVoDptcFnjp1Sj2v/Pnzpxpp5f3y70ghHhgYmOo6WYrAvxFT+/wblC5dWkWW9dICRqQYpU5L/WNq63zSc+A6hg0bBm9vb7WOqlWrYtq0acneP7+w6JEyLy8vVQrBL1D6MYxuEz4XvZwitbq65Grv0vJYKd02rc/nSa//k55Lco99+PBhdO7cWZV9eHh4oG3btsmWkqT1+QlCTkEig0K2ISYmBvPnz0eTJk2SPQHzg5pCjqKLUUJG4erVq5fomDp16qioYocOHYzpUNPau+XLlyvByMcwJzwJVahQQZ2ETGnQoIH6eeTIEZQoUcJsj8faREYjBw4cqCKZPOmR//77T6Xfn332WXVSNYUnWApkRkazkuPHj6vXv3DhwuqkS/HOekgKA1P279+vIqZcT/HixdVJffLkyWjVqpUSTW5ubomOp1CksP/qq69UOUFysBa0TZs2qu6SXwhYO5oSAQEB6u/DejSKeIpkihMKewoCRlAzQmrrTO46CtZGjRopcfLaa6+p12316tVKJIWGhqqyA1P4JYDiaPz48Th06JCKfBcpUgTffPONihSfO3dORYZ//PFH4/PnfWaE1B4rJdL6fJ70+qf3ubC8g58L/D/IaDy/8PBLCN9PW7duVTW85nh+gpAtMQhCNmH58uU8Oxp+++23RPt37txp6Nu3r+Gvv/4yLF261DB+/HhDwYIFDS4uLoZDhw4le18XL140HDx40BATE2PcFxISou6/Z8+eZl971apVDW3atHls/8mTJ9VjTpkyJc33tX//fnWb6dOnp3pcZGSkoWXLlgYPDw/Dnj17DBs2bDA4OzsbunXrluh56xw+fFjd73fffWfISnr16qX+NleuXDHuO3XqlMHe3l49vs6DBw8eu+3u3bvVMf/8849x3yeffKL2DRw48LHj9evu3LljOH36tKFo0aKG+vXrG4KCgp64zsGDBxvs7OzU652U+Ph49XPIkCGGUqVKpfi4ye1LbZ3JXffCCy8YfH19DXfv3k20f8CAAQYvLy/j66Tfx7BhwxId17t3b/X/QYd/Xx7n7+9vSAt8nyU9Pq2Pldxt0/p80vL6p/Zckj4233dOTk7q/75OQECAIW/evIYWLVokum1an58g5BQkTSxkqxQxv83z27opjOIxWsC0E+vg3n//fZX6YeThgw8+SPa+GP1jlNDBISE4zqgEYZexuWEHcnKF7EyT6tebG973smXLVESSjSq9evVS0Q9GV02ft2m9IGGDSlYRFxenOpa5FjbD6LBGsWPHjomOZWrYNCp87949ld5lyo5RmqSwsSglTpw4gZYtW6qI8oYNG1QaNjXi4+OxZMkSdO/e/bHoMsmMBU5q60x6HaODixYtUuvgZTYS6Rtfr5CQkMdei6T3wWgYXzv9/W1O0vtYaX0+5n79+b5bt26det/x/74OS0GYlmfZQnJrtuRrKQjWRMSgkC1g+nfp0qXqhMHasSdB0dCzZ0/VRMETQVrQU7isOzQ3FDa0lklKVFSU8fqsgM/p+++/R1BQkHoN2Tmd0mMl10nMmkrW1lEgMz2WtEGHJ/HXX39dpbj5WKz9Yt1lSq/5nTt3lPA1rdPUYW2gKTxu7Nix6r4ppJkGZAqQaUOKhqQwnZcSFBV8DhSiSVP1Ka2TJ3w+d3OT2jqTXsd18Pny78DnbrqxLILcvn070W1MRTbRhS+bisxNeh8rrc/H3K8/74+p5aTvMf2LCMVncnW7lnwtBcGaSM2gkC1glCClLuKUoIhgHRy7MtMiAHgMC9UZRTI3jEDovoimsEOY8HGzgkuXLqnXjPVWFFd9+/bFzp07k22OYWSQdXt67d4vv/yimk0WLFigbn/9+nVs3LjReDxP2vReZM3V3r171XOgoPz444+Nhf2ZgSJz+vTpqoaMXeUs4GdEiDWEPHknJTVBzefNhpnZs2ermklzkVKEKrUvIKmtM+l1+vNkjeeQIUOSvU1SG6CUOmhTqqPMDOl9rLQ+n6xYa0aw5GspCNZExKCQLeBJnN1/TAOnRwgxVcrbpZVu3bqpqAU7fJPa2mSGWrVqqSglox2mwpQiSr/e3FBotm/fXqXW2SxBMcgOVTZvsGCeTRRJxaBpipiNNfRu1G1mKK7ZWanD4n+m2qdOnWrcx9szNZ0SjABR8Jw/f/6x69i8YgpT/xQMP/zwQ6JIakYMhtlMxNQ4u5MZIUypG910nfw7PemLASNFya2HHcvmgOvgeikuk3puZhRzT3nJiudD0ZiW1z+tz4WPy4ajpO8xcubMGdjZ2Zm1gUsQshuSJhZsHqZ4WOfVu3fvxzpI9euTwggVRQmFDz/o0wq7DOnt9uKLLyZrO8JuVE4hSS9Mr/IEaGpWzbQxI1+s4zM9ETECyhNUZkaoMY3FlDpTw3zt2I3L1CzTpEyHde3aVUVMdW7duqUifaZikEKaFjV8HZPWSPF1YO0XjbDTG2nhuhjpvXr1qnH/6dOn1dqSHps0AvPzzz+nOe2fVDTwteffgQIzNcFK+J5hfRm7y+nrmBR9XbTFYcpar7fURXhylj4Zga8Bo5p8rZMTRsm995+E7l1ojakdaX0+aX390/pc+Lj8LGCpianVDP+PsxaZX5LSkj0QhJyKRAYFm2fevHnKfiSlFHH//v1VtImNJKxro+0IT/wUjl9//XW6Hosnd54ceJ+MiJlOIKHNCVOmptExXWiwOSG1qSAUfLQNYUMLRRdrGpm25ImJqVhTaAnTunVrZbdC6xUdpm150qPlBuGJkqlbPaXKNKoORRxFH9dkWp/HCOSKFSvUiZGPz0hZSvWCtOygxcnw4cOV4OFEh19//VVZqjBdzPtNrgbrSXBixJo1a1QxPh+ff1uKPNYbmooqRmlnzpypnleVKlVUtJbCNi01o8lBgcExexQZbEJatWqVsplJCT53Nh3wb0trE74fKPT4HmDDARtZmLKmjQ+/qDCKSiFP+xs27STX5JIR+B5mVJnvIf4t+FqwBpT3z9eDl9ND3bp11c+PPvpIrZ+RY9ZUWsrgOq3PJy2vf3qey7hx41SEnMKP7ztGimktwy9lrHMVhFyNtduZBeFJNGrUyFCkSBFDbGxsstdPmjTJ0KBBA0OBAgUMDg4Oyrbi2WefNZw/fz7Dj3nu3DnD8OHDDX5+fsqOgvYTTZs2Nfz888+GqKgo43FhYWHKgoK2GE+CVi/vvvuuwcfHR1m80OJkzZo1jx23efNmdZ+0tzCFFibcn9yW1FqD1jEnTpxIcS1Hjx412nOQb7/9Vt3PkSNHHjs2Li7OsG7dOmUHM3v2bLXviy++MLRt29aQUbZu3WqoW7euem3LlCmjrHWS2rHcv3/fMHToUEOhQoWUPU7Hjh0NZ86cUa8DLV2Ss49JSnLX0brE1HInNWh/Q4uTwoULq78Z1/rqq68aHj58aDyGr021atXUc6lYsaJh1qxZqVrLpHWdpgQGBqrHLVGihMHR0VG9h/j6//HHH0+8j+TsXfj3K1asmLJueZLNTGrWMk96rORum9bnk9bXP6Xnktxj02qK7yP+7d3c3AytW7c27Nq1K81/j5SejyBkd/LwH2sLUkHIrjC6xAgWI2vVq1dHToa2LGPGjFEp9H/++QdffvllsjVYgqDDqDffL4xSs1RBEATbRGoGBSETMN3F9FROE4KcuMDmFvr7se6Qwo81hrTrIUzFMXXM/UyNsuCfE0NGjhxp7aULNgTTuiyjSNqsJAiCbSE1g4KQCdilmhNhAwprNNlYwsL6Fi1aqJo9fdQXu2hZN/juu++qUWAUg6yDTM1QWcg9sDGD3eBTpkxRXfnJNX4JgmA7SJpYEARBMCtsXOLUG84WpvVQcibjgiDYDiIGBUEQBEEQcjFSMygIgiAIgpCLETEoCIIgCIKQi5EGEkCZ3h4+fFjNZE3PtApBEARBEKwHm9fYsFS7dm1lJC5kDHnlACUEWegsCIIgCEL2g5Ob6tevb+1lZFtEDAIqIqi/mXx9fa29HEEQBEEQ0uhlyWCOfh4XMoaIwUczSwmFoLjkC4IgCEL2Qkq8Moe8eoIgCIIgCLkYEYOCIAiCIAi5GBGDgiAIgiAIuRipGUxH+3p0dDRyO46OjrC3t7f2MgRBsDJxcXGIiYmx9jKEHI6ccyyDiME0QBHo7++vBKEA5MuXDz4+PsiTJ4+1lyIIgoXhBNNbt24hODjY2ksRcglyzsl6RAym4YOPrev8ZlKiRIlc3bHE1+LBgwe4ffu2+l1seAQh96ELwSJFisDNzU1O0EKWIeccyyFiMA3TSfhmLFq0qPrgy+24urqqn/zPyZOBhO8FIXelhnUhWLBgQWsvR8gFyDnHMuTeMFc6PvyIk5OTtZdiM+iiWOqFBCF3of+fly/GgiWRc07WI2IwjUgqJAF5LQQhdyOfAYIlkfdb1iNiUBAEQRAEIRdjVTG4bds2dO/eXdXjUfkvWbLkseLRsWPHqqJR1g20a9cO58+fT3RMUFAQBg0aBE9PT9Vx9MILLyA8PNzCz0QQBEEQBFvnSbojObZs2YI6derA2dkZ5cqVw99///3YMb/++iv8/Pzg4uKChg0bYt++fYmuj4qKwquvvqpqbT08PNC3b18EBgbCVrCqGIyIiEDNmjXVi5gc3377LX766SdMmTIFe/fuhbu7Ozp27KheVB0KwZMnT2L9+vVYsWKF+kO/9NJLFnwWtk3Lli3VG37u3LmJ9v/888/qP4MgCIJgu7Rq1QpvvfVWir9b4jFzEk/SHUmhrVzXrl3RunVrHDlyRL0uL774ItauXWs8Zt68eXj77bfxySef4NChQ+r+qVX0LmgycuRILF++HAsWLMDWrVsREBCAPn36wGYw2AhcyuLFi42/x8fHG3x8fAzfffedcV9wcLDB2dnZMHfuXPX7qVOn1O32799vPGb16tWGPHnyGG7cuJHmx7527Zq6H/5MSmRkpHoc/kwvN28FGk6cOmMID48wWAO+hnnz5jX4+voa+vbtm+i6IUOGGLp27Zqh+83MayIIQvYlO//f52ceP+fHjx+faD/POzZ0KnyMli1bGt58803j7/fu3TOEhoZa9DGTo0WLFup14+bg4GCoUKGCYfbs2RZ/36V2/k6v7kiO0aNHG6pWrZpoX//+/Q0dO3Y0/t6gQQPDq6++avw9Li7OULRoUeN7jdrF0dHRsGDBAuMxp0+fVo+/e/dugy1gszWDVOP0s2JqWMfLy0uFX3fv3q1+50+mhuvVq2c8hsfTC5CRxJR4+PAhQkNDjVtYWFiWPIe69eqjWpVK2H/oEKwBU+p8bmPGjMHq1auVRY4Ov73UrVvXKusSBEGwBkzhffPNN7h//77Z7tPSk6kKFCiAvHnzwppQRx0+fBjjx49XPrxnz55F48aNMWTIEHXutgY815me13meNwe7d+9OpEMIo366DuHf/+DBg4mOoQbh7/oxvJ6d0KbHVKpUCSVLljQeY21sVgxSCBJvb+9E+/m7fh1/0nfIFAcHB/WfRT8mOfgGprDUtypVqmTJc8jr6al+Bt0PgTXgG5Affgxps6aSgpAwzX769GlVAyEIgpBb4MmYkyx4DkgJiog33nhDnVv4+dmsWTPs378/UQr1tddeU+nCQoUKKWGg73/99dfV/vz586tz1dSpU1VacujQoUrAsd5M/xzWWbNmjXoMBjZYT9atWzdcvHgxTSncy5cvqzKgpBuPIZyaxedaunRpVXfP9OXChQsT3R/XN3jwYFXHxvr8H374Ic2BBq6br2eZMmXwwQcfKF/eY8eOwRrwPG56Xk/tb5webt26lawOoeCMjIzE3bt3lQXdk7QK7en4N07pGGtjs2IwK+GbNiQkxLidOnUqfY7o0bFp2jzyamLwzr3gNN8mtU2LaqcdRv9q1Kih3oS9e/c2fggcPXpU/adNKgb79euHpk2bpusxBEEQsgs0LP7qq69UzfT169eTPWb06NFYtGgRZsyYoT5DKeAo+NisqMPr+Lm6c+dOVdNuup8Ckc0DFIYvv/wynn76aTRp0kTdV4cOHfDcc88lytJQjLHe7MCBA9i4caOKKvHzOi3jTzkVi5E5fWO0joKyRYsW6noKon/++UetkbX1rFt79tlnVc2azqhRo9TvS5cuxbp161SzBNf6pEADRSfPLzr665lUFFkKnsdNz+s8zws5YAIJv20QdtuYjqDh77Vq1TIeY1qgSShy+J9Wv31ysCOImw4VflqJjIlDlbEJhaOpcfuuZpD54fy9GH828TeCjHDq845wc0r7n4z/oXXBx0JVbvzWy/2FCxdWHyQ6/DZ37do1XLhwIdPrFAQhd40LswYZHYVHocVzCIv9//rrr0TXUZhNnjxZdYt27txZ7WN0jw2KPJbCiZQvX141OCaFkTeW5RCKka+//lqJw+HDh6t9dMfg/fPztlGjRmofu0pNmTZtmvp8pripVq3aE8Wtfq5jxqdXr14qXfvpp5+qz3oK3w0bNqh9hBG8HTt24Pfff1fNhXTe4POaNWsW2rZtaxS0xYsXT/VxeQ5htJEZJ3LmzBklovm6NmjQABMmTMA777yDEydOoGrVquoYdtL+9ttv6vzMyCmPYRSSrw/fQ2zooFjOKIy86usxJz4+Po91/fJ3PhajrfwbcEvuGP1vw59MJ3N6j2l00PQYa2OzkUG+0fgi8ZuSqWhjLaD+xuZPvrj8lqKzadMm9Y2KtYXWJo+z5ppueBhhlcc3rQtk2sDR0VF1QPH1ShoV5IcUPzj4RuU3TEEQhCfBkzjTi9bYMiNCWTdI0cNyGVOYnmVtl2mGhJ+bFDimx6ZUb20aKaNAYJSuevXqxn161Mw0iMGU68CBA5VQo8CgPQm5evVqup7TsGHDVOp2zpw5KrrIL/Z8jdq3b5/odWOkUE9D8ydFiun5kmVWFStWfOK5hSlq3h9T6bVr11bPkylvPjZFIH9nLaH+XFgbR5FJIUh4DMUgM1XfffedErC2SOPGjRPpEMIvB7oOYYSY7wfTY6hB+Lt+DK/n+8j0GL42fF30Y3J1ZJDfSkwjUSw8Zes234wsrGRdxLhx49S3MIrDjz/+WNmh8NsPqVy5Mjp16qS+dTEMzv/ErOUYMGBAltmmuDraqwhdWvjf7SWYdWornqldGN+m8TZPeuy0cunSJSWUddHHWsoePXqo9Mfx48eN33oJ62H4t2DrPIta+Y1UBoILgpBTYRqVqV9G755//vl03542Z8nBE74pjFya7tMjmaYpYHrelSpVSkUged7idYwIpqcxhedJftFnelpvLtH9dleuXIlixYolOt40M5YRKAYZJWU9OiO0PF+YRmkp9Fh2pIvBL774QkVkmVY3PYa1mYTr00e/Wlt3fPDBB7hx44YSzWTEiBH45ZdfVOSTgpsBp/nz56vXVYdpfjbPsJmVXxwmTpxorBUlrGGkBzKP4+NQ9LOMgEJQjxDnajHIGgkKEB2+UIQvKsP0fPH5gtI3kMKGxar85sFvIjqzZ89WApAhbn4jYcid3oRZBd/waU3VFiqgfQOKCA9LV3rXHDD6x28spmkGvjZ6vcpHH32UKCrI/6xEF4N6ykAQBCElKASsZfKf2fnITOEyrWkaBStbtqyxFpACjTDIwC/MWeG7d+/ePSWYKASbN2+u9jGNmx74Bf/zzz9XjSlcv2lDBUUfo09MCScHj6dYZcaNQoiw0/rcuXMp3kYPNDDiyHrK5EoHGDVkI8yPP/6ojufG6KN+PuIxTC3ztacIZOq8S5cusAXdcfPmzURRWQaiKPxYbzlp0iQV3fzzzz+NjUOkf//+uHPnjjqXsiGE7ytqFdP6Sb4WukZhCp+3Z9rcVrCqGGTqMrWmCAovvsm5pQRVNsPitoiXl1a/EBpi+W5ifnPjfzx+sOnwPy//4/Ebpx4x5Icei4eZpiD8YGfBsyAIwpPgZ3RKUTJbh2lMDi0wDR7wubDpg1EvPVLE2kB+gWZkx9wwZcpU8h9//KGiaxQh77//fppvz+gaO4Hfe+89VZund6byc5/rf/fdd5WIYbSRwRQ2VvAzn5Epih+mefm8+Hy5DnZQM1BA0fKk5hFTSzdTGGljPTozd0xDM9DArN7ixYuN5x0eQ0HEyBjXyi7v9DzvrNQdfyczXYS3YXNOajAoxS0lGMRiXWRaza4tjc3WDOYE8nl5qZ+hoZYXg+wiM62lJPyWyLpL/kfgtx3C/6QsMOY3OW78BpSe7mpBEITsCgMNSbt2GTHUsygUL0wpMgWr17qZE4quf//9V31W88s7hRvr59IT5aJQZZqYYlLf9MkWuhDj+UAvq+JnvP75T/h4jEoyXU1RRtGYmget3mHN1GdKApXPhecbZvaYcqWY0vfrx/DxmJ5lapv16plNXQuZIw+dp5HLYUs8v8mwmzZpFxU7tPgthv95TNPTaWHGPzPx/JDBaNisJXZv25yhzreshLUP/BDhTx12ejF0z5B3SmTmNREEIfsi//eFJ0Fhx9Qzo40c08aIJUUgRSrTxezA5TFMv7OjO7Pvu9TO30LakchgFpIvn/bNKTw0FHHxtqe527Rpk0gIEqYWUhOCgiAIgpASphFA1tLxMrun2dhCIagfY9plLVgfm/UZzAnkf+QnFBYWith4AxzS3gwsCIIgCNmO5Gr4WYvIppTUjhGsi0QGsxC9poLdxBSDgiAIgiAItoaIQQuIQZUmjnvyaCFBEARBEARLI2IwC9FH4zx8GIUHUQ+tvRxBEARBEITHEDGYhZjOSQwKDrbqWgRBEARBEJJDxGAWwhFwbo8MWYODLe81KAiCIAiC8CREDGYxefNq0UERg4Ig5BTEnlawJPJ+y3pEDFpoJN19EYOCIGRzaCZMOPVCECyF/n7T33+C+RGfwSzG0ziSLtTaSxEEQcgU9vb2yJcvnzIRJm5ubjY3WUnIWRFBCkG+3/i+4/tPyBpEDFpoPnFwiDSQCIKQ/fHx8VE/dUEoCFkNhaD+vhOyBhGDWYzXo45iRgbjDQbYybdoQRCyMYwEcs4sp0pwvqwgZCVMDUtEMOsRMWhB4+nYOAOcHCwrBlu2bIlt27ap8T8DBw407v/5558xfvx4BAQEWHQ9giDkDHiClpO0IOQMpIHEAuFtEhHO+cTxFq+3OHz4sPoWv2jRokTXHTx4EHXq1LHoegRBEARBsD1EDFrIeDosTIsMWpLz588jLCwMY8aMwerVqxN1AB46dAh169a16HoEQRAEQbA9RAxmlOiIlLeYqMfSxBEh9xETGZbMsZFpu98MwOifi4sLXnzxRSVKKQhJVFQUTp8+LZFBQRAEQRCkZjDDfFU05evKdwAGLUgkBvOcWYWCP5V+/NhSzYChKxN+n1gdeHDv8eM+Tb9PIaN/NWrUgJOTE3r37o2FCxeib9++OHr0KGJjY41icMKECWorVKgQQkJC0KVLF/z666/pfjxBEARBELIfEhm0UJo45KHlHdQpBnXB16dPH6xcuRIPHz5U+wsXLowSJUqo606cOIFJkybhyJEjOHXqFP7++2+Eh4dbfL2CIAiCIFgeiQxmlA9T6cLNY/9YA0mgS1lc+d8OlCroluTYJHr8reNmWyJFn95B3KpVK9Wiv3bt2seaRygGP/roI3WZgrBs2bLw8PAw2zoEQRAEQbBdRAxmFCf3NB2mi8HQ0DDE2Ls++XZpvN8ncenSJQQHBxtFn4ODA3r06KG6io8fP47OnTsbO47Pnj2r0sdsMOFtduzYYZY1CIIgCIJg+0iaOIvJnz+/+hkWEoyYOMtZyzD6x1rBatWqGfdR8C1btgwnT540ikR/f39UrlxZRQTPnTuHN954Az/++KPF1ikIgiAIgnURMWghMRgVFYkHkVEqEmcJmCKmEKQg1Gnfvj3i4uIQHR1tFINMEVesWNF4TPXq1REYGGiRNQqCIAiCYH1EDGYx7CbWB7mHBN9HXLxlxCCnizA6aIqzs7Mai0dBWrp06cfEIIXi3Llz0bZtW4usURAEQRAE6yM1g1mMnZ2dEoSsxQtlqjjeAAcbmuBEMcgawQULFijRylrCl19+2drLEgRBEATBQogYtFCqWBeDsawbdLQdNciZxYIgCIIg5F4kTWzBukEVGbTwSDpBEARBEITUEDFoYTEYG2+5jmJBEARBEIQnIWLQomIwBLESGRQEQRAEwYYQMWhRr8EQi3oNCoIgCIIgPAkRg5ZOE0tkUBAEQRAEG0LEoAUwjqSTmkFBEARBEGwMEYMWH0knkUFBEARBEGwHEYMWThPHGwwWm0IiCIIgCILwJEQMWlgMEmkiEQRBEATBVhAxaMk0cWiI+qmmkAiCIAiCINgAIgYtGRkM1iKD0RasG2zZsqWaOTx37txE+3/++WcULVrUYusQBEEQBME2ETFoQTH44EEEYmJiLBYZNBgMOHz4MHx9fbFo0aJE1x08eBB16tSxyDoEQRAEQbBdRAxa0FomYT6xZcTg+fPnERYWhjFjxmD16tV48OCB8bpDhw6hbt26FlmHIAiCIAi2i4jBDPIg5kGat4fxD+Hp6ZnIXiY2PlZdFxUblab7zQiM/rm4uODFF19Uj09BSKKionD69GmJDAqCIAiCAAdrLyC70nBOw3QdH+kYmSgyuPHqRry79V3U866H6Z2mG4/rtKgT7j+8/9jtjw85nu41MvpXo0YNODk5oXfv3li4cCH69u2Lo0ePIjY2NpEY/Pvvv1UdYVxcHOLj4/HOO+9gyJAh6X5MQRAEQRCyFxIZtBD27vYmYtAyDSQUg7rg69OnD1auXImHDx+q/YULF0aJEiXUdb///jumTZuGtWvX4siRI9i8ebOqNxQEQRAEIecjkcEMsveZvek6vvPfnbHt6jaEhYSokXStS7RR92GXJ7EeX9N3jdnWSNE3cOBAdblVq1ZwdHRUgs+0eeT+/fuqppDRwkKFCql9BQsWxPPPP2+2dQiCIAiCYLuIGMwgbo5u6Tq+UAFNaIU+8hqEwS7Z+0jv/abEpUuXEBwcbBR9Dg4O6NGjh+oqPn78ODp37qz2L168GK1btxabGUEQBEHIpUia2ML2MuHGKSRZm4Zl9I+1gtWqVTPuY73gsmXLcPLkSaNIPHHiBGrVqpWlaxEEQRAEW+HXX3+Fn5+farBs2LAh9u3bl+KxtIP7/PPPUbZsWXV8zZo1sWZN4gweXTveeustlCpVCq6urmjSpAn279+f6Bhm2+j5a7p16tQJtoKIQQvB1CsJC9GaQ7LaXoYpYgpBCkKd9u3bqwaR6Ohooxh0d3dXDSOCIAiCkNOZN28e3n77bXzyySfqPElx17FjR9y+fTvZ41lGxbp6NlieOnUKI0aMUA2Z9PDVoWPH+vXrMXPmTJV569ChA9q1a4cbN24kui+Kv5s3bxq3pMMgrImIQQuLwZD7QRYRg+PHj1fRQVOcnZ0RGhqqmkNKly6t9jFdPGfOHNy7d0/9zutnzZqVpWsTBEEQBGswYcIEDB8+HEOHDkWVKlUwZcoUuLm5qSbK5KDA+/DDD9GlSxeUKVMGL7/8srr8ww8/qOsjIyNV+dW3336LFi1aoFy5cvj000/Vz8mTJz92Dvbx8TFuesbQFhAxaCH05oyQYF0M2ka3LsPZ/JbEusHq1aujWbNmKiwuCIIgCNkFpmoZzNA3OmckhVkxBkkYtdOxs7NTv+/evTvZ++X9MD1sClPBO3bsUJdp08aMW2rH6GzZsgVFihRBxYoVlajUgzC2gDSQWDgyGBxkmTRxemCIm5uQBNrrhAYAYTe1n+GBQFQI8DAUiAoFCpYDmryWcPyc/tp+GAA7B8DBGbB3BhycgEIVgNYfJhx7aqn20zU/4F4E8PQFnD2BPHks/zwFQRCyOYzymcI0MCN0pty9e1cJN29v70T7vb29cebMmWTvlylkRhMZ9WPd4MaNG/Hff/+p+yF58+ZF48aN8cUXX6By5crqvpj+pbhkdNA0RUyLN2blLl68qKKNzMzxOHt7zXrOmogYtLAYDAq6Z1ORQQFAxF3g5lHg7nnArQBQo5+2Pz4OmFgNMKQg3P2aJxaDV3drYjE5SjRMLAZXv6eJTFPYSZ7XByhWF+j7Z8L+gCPaujyLAXbW/9AQBEGwNVjPV6xYsUQpWXMwadIklVauVKmSavqgIGSK2TStzFTysGHD1ONT2LEmn7ZupqVaAwYMMF5mFo4DIXhfjBa2bdsW1kbEoIXTxPeNYtB2IoO5CjbLXN+vCbeAQ8CNw0DI1YTrSzZOEIP2DpoAY4SQkTsPb8A1H+DsBbh4apFBU3r8oglHRvfiYoC4aCD2ofbTXfv7GynRAAi7BUTeT4g4cuxg0CXAwyfxsXMHAmEBgL0TkK8kUKCMFmksUhnwqQ741syqV0sQBCFbwAidPvY1tfMwxVpgYGCi/YGBgaqGLzk4oGHJkiVqjCvTurRhe//991X9oA5F3datWxEREaFS1L6+vujfv3+iY5LC67ieCxcuiBjMlWni4GBVY5AHDqqRg980hCzmQZAWWdP5dyDwIEmtBoVd4UpAsSTzmt86nvbUbZUeaV9Tv38S/x79QIsUUiCaRv/iYgEnd8DOUROV9y5o2/l1CRHHFx5dJtsnAF7FNYHI5ySRREEQBAXdNerWratSvb169VL76KaxceNGvPaaSZYnGVgTyMgfa+rZMNKv36OggQl05+DGYQ4c8MCmkpS4fv26EpcUjraAiEELwa4hCj8KwNDgYBQoVEilip0cRAyaHUbybh4BTi8HTq/QIm66qLOzA6r0BCLuAMXqaeKPwsnFK/n7spRYd3IDCpbVNlMYnXz9gJayDr0BBPkDQReBO2eB26eBorUTjo2JBDZ+rtUsEkd3LXJYtJb2HIs3AAoliWYKgiDkItgwOWTIENSrVw8NGjTAxIkTVUSPqV8yePBgJfroyEH27t2rLGLox8ufrEOkgBw9erTxPin8eG5nYwgjfaNGjVJpZf0+w8PD8dlnnymvX0YgWTPI27OmkDWJtoCIwTSS2Vm9nACSL18+9Y0hIvT+IzEYDyeH7NfQbbNzi0NvAkfnAkdma9EzHUbVmH7VhVa3H5HtYISPKWJuZVomfwzFYP0XgVvHgFvHgZgI4NoebSPV+wF9pyaky8+tBorXBzyKWO55CIIgWBGmb+/cuYOxY8fi1q1bSuStWbPG2FRy9epV1WGsw/QwvQY51cvDw0PZyrBGkOdznZCQEHzwwQcq2legQAEl+r788ks1ApYwNX3s2DHMmDFDZQeZaqYXIZtOzFXbmFnyGGz2zG45+AcsUaIErl27huLFiye6jiFhKn3+8by8UogepZHy5cur+5q7dA2q1GmIkgXckM8twRQ6u8DQNg06K1SoYBNdUIrdvwLrxiQ0e7AZo3x7oFJ3oEKHlCN/ORVGEtkQwwgpm2O4VesL1H9Bu56RxV8baJfz+2lRQ9YxUhx6V9MikoIgCNn4/C2kHZv+xGfrNkOyNEGmgqcg40gXqnS91o5ali3kU6dOVYq7adOmyuiRwsscMKJHQ0p+k6DKN/3GkF74jYGE3LsDQ2w0IiLzwMUu+zSS8LV+8OCBEoL8VmRVIcgoWGyUZs1CmC6lEGQDSO1ntVSwc17kWhhJLFJJ22omdLElqqMsXBm4cwa4f1nbjs9PSC93Gg/UHWLxZQuCIAiWx6bF4DfffKOEHUOrVatWxYEDB1QOnhG6N954Qx3DAs2ffvpJHUP/no8//ljl4NlmntQEMiNQdLLA09/fH1euXMnUfdGEklz1v4AyFavggbM9QrNhZJBCMKXOqywnJgo4+Dew/Qegam+gy6MCXYrA1w89XnMnJE+pxsCre4DIYODGAeDafuD6PuD6Ac1H0bNowrGXtgI7JwKlmmp2OhTe9E4UBEEQcgQ2LQZ37dqFnj17omvXrup3DpammaM+VJqRKhZ/MlLI48g///yjcv9sBTf19clsBxIjjXQvzwx6CPtKUCQ+3XwbDUoXwPg+FZGdYHTUKhFBWrUcngls+15rpCD+W7XaN0ZrGSkWIZh+aJVTrp226enl26eAAiav5aXNwMVN2kYcXIGSDTVhWLY14FtLupYFQRCyMTYtBjkq7Y8//sC5c+dUfdrRo0fVeBe6gRNG65g+Nh0tw6hhw4YNlat3SmKQ42VMR9VwjM2TYHo4s5FGvUA1LioCN8LicDIw0izRyxwPRcjq94G7Z7Xf6f3X4l2g1rOaEBTMB0UdO5BNqf0ckLcocGUHcHmHZstzaYu2bfoCGLET8KmWELl1lPe0IAhCdsKmxSCNHWngyBZtRqNYQ8gOnUGDBqnrKQRJcqNl9OuSgy3jbPO2ltdgbCRHlgE37keK1+CT2DcVWPWudtmtINBiNFD3eREclkS3vGn4kmbbwzpD/+1aZJaNKN5VE45d9pqWambEsExroHQLLfooCIIg2CwOafXlSS9M3eoNExll/vz5mD17NubMmaNqBo8cOYK33npLNZLQJyijsAXc9DnROyjpXMOsnEISFRqsfkZExyEkMiZbdhRbjMo9gM1fAjX6A60+EGFhbfjFhZNPuOniUP8yw8uXd2rTUg74AwemAXnsgKJ1tM5ubhy1JwiCIGQ/Mci6PA5iZu1cWmAql27emRWDNG5kdFBP93KeH5s4GNmjGNSbGDhKxtTFm7/TOygl6Otj6u3D6KMlI4P37wehkIcT7oZH4/r9SBGDpty7CJxaCjR/JNbzegNvHtPGvwm2h2lUm5df3aulklWd4Wbg3nmtQYUbDcBf3pFwfHSENl1FEARByB5p4sWLF6NIkSJpnhFoDmhjktTKheliun8Tdg9TEHKUjC7+KOzoGP7yyy/D1tDFIH36KuRzVWLwRnAkqhXLZR54ycGo0uFZwKpRzKMDhSsClbTGIRGC2Qj+rSp10TYScl2r+Ty/PvEMZQrB78oBPjUeRQ07aLWKUjIhCIJgm2Jw+vTp6TJc/v333x+r48sI3bt3VzWCJUuWVGniw4cPq+aRYcOGqetZa8e08bhx41S3r24twzSyPnfQltDTxHfv3kXr/K44ej1E1Q3meh6GAyvfBo7N035nlyqNj4XsD+ck1xmsbaZc36+NCdQnpLARJa+v1tVMYVimlXwJEARBsCUxmN76vGeeeQbm4Oeff1bi7pVXXlFGxxR5//vf/9QYGR3O9+NcwZdeekmZTjdr1kyNlrHFLl09MhgUFARfTy1Nzchgrobzdec9p6UT89gDbT4Cmo6ULuGcDsUe50UzYsiNzShhNzX7IG7tvwCaal6iieoSBUEQBNsaR3fixAls3bpVdfly8kfdutmzONxS42zoU6jXKv686hC+3xqATlV9MOW57Pm6ZZpz64CFw4DoMM265KlpmhmykPugJc2VnY/E4Vpg0MIE38gjc4A9vwEVuwAVO2u+hiIOBUGQcXRmI8Phl19//RVt27ZVYnDz5s1o06aNSukKKcMGHL2e0gNR6meujgxynByFINPCI7aLEMzN0CqoXFug89fAG4cTG4ifWQncOg5s/Qb4oxUwoQqwYqQmHCkiBUEQBMs0kFB1U33r/PLLLzh58qSxDo4mzz169MBHH32UuRXlcJgqpsm1U0yE+j1Xi8EqPbQIUOmWMt5MSJnuk7RmorOrgAubHlnXTNM2p7zAO6dz9xxqQRAES0UGOeVj0qRJyiRZFzWszeMkD4qbDRs2oHDhwpldT45H78jOw/mvrB+MiMaD6FjkCmKjtUkioQEJ+9hJKkJQSA33QkCtZ4D+s4DRl7QvEPWGaaUF9Ds0FYJ8f+38CQi6ZM0VC4Ig5EwxuH//fpw9e1aNeqP5M8fE/fjjj3B1dUW+fPkwb948zJgxI2tXm4PEYERIEPI6a4HZgNwQHaSVyNz+wN7JwJx+2gxcQchIOplfILr9CLx9Chg4N+G6B0HAvj+A9R8DP9UGJjcFtnwN3DqhNaEIgiAImUsTe3p64rfffsOuXbvw/PPPqxrB7du3q+YRbhSEQtrFILuji+WvgDO3wpTxdLkiOTjN9TAMmPWUZiHi6Aa0/1ybgSsImYFNJIwa6tg5AJ2+Bs6s0IyvA09o25bxQP7SQPN3gDrPWXPFgiAIOaOBpEmTJjhw4ADy58+P2rVrY9u2bSIEMygGi+d3VZev5WSvwegHwJwBmhB08QIGLwXKtrH2qoScCH0JOSJvyDJg1AWg56MOZAcX4L4/EG9SjhF+RzPDjoux5ooFQRCyV2QwNjZWpYZPnz6NmjVr4sMPP0T//v0xYsQI/P3336qhxBxG07lJDFYs4KYuXwt6gBwJOz3/HQhc2QE4ewLPLZbZtIJlcCsA1B6kbTQ1v7AB8GuWcP3JxcDqUdoXlAqdgcrdgLJtASft/6QgCEJuIs2RwRdeeEEJPnd3dzWRZOTIkahQoQI2bdqETp06qdnFkydPztrV5jAxWOqRGLx6L4eKQZ5sL20BHN21on8RgoI1cPYAqvZKnFJmlNC9MBAVAhz7F5j3LPBtGeDfQcDRf7WItiAIQi4hzWJw6dKlWLRoEb7++musX78eK1euTCQU9+zZo2oIhbSLwZIFNTF4JadGBlu+DxSrBwyaD5RsaO3VCEICjV8B3jkLDF0NNHoV8CqpzcRmveHS14B4k/RxXC7p9hcEIdeS5jQxU8Dr1q1D2bJlVTRQH61mKnLmzJmTFWvMuWKwgLsxTUzLHs5azlF4FQNe3CDTIgTbhE1MpZpoW8cvgVvHgNMrgMj7WvpY52/WHToDVXoClboDeaUcRhCEXCoGmSIeNGgQ3n77bfj6+mL+/PlZu7IcLgbv3LmDol7aaLrwh7G4/yAGBdxzgN8eU2w8cVbtrf0uQlDIDvB96ltT20wJCwSu7dUu+28DVr6riUcKw8rdAc+iVlmuIAiCVcRg+/btERgYiLt374q5dCbQJ7bEx8fjQVgIfDxdcCs0ClfuRWR/MXh1T0KKzb0I4NfU2isShMzBKOCbR4FTy4BTS4EbB7QZytxWjwaavQ20+8TaqxQEQbCctQzTmCIEM4ejoyMKFCjwWN3g1exeN8ipIvOe04RglV5ASZkzLOQQ8vsBTd8Ahm8E3joBdBz/6P2dB/CumnBckD+w40eZfiIIQs4Ug3Xq1MH9+/fTfKfNmjXDjRs3MrOuXFQ3mAPsZWIfAvMHAxG3gSJVgV6/AXbptrAUBNsnXwmt+WTYGuDt05qPoc6JRcCGT7XpJ1OaAdu+A+6et+ZqBUEQzJcm5vi5o0ePGiNaaTmeM4uFlMXgmTNnHkUGi6l9V7KzvQzTZdf3a0X3A2YBTlpjjCDkaDx9E/9euCJQphXgvx24dVzbNo0DilTRagwbvZy4MUUQBCG71Qy2bdtWdbymhRzXFZuVXoMVsnma+NgC4ODfWsqs7zSgQBlrr0gQrAMbSrhF3APOrtRqDOmzefsUEHwVaPpmwrERdwG3gtJgJQhC9hGD/v7+6b7j4sWLZ2Q9uU4MNimQzcXgraPaz5ajgfLtrL0aQbA+7gWBOoO1jTY1Z1dr4s9RGz+pmN5ZM75mxJCbby0RhoIg2LYYLFWqVNavJBeKQXZn61NI2FEcFRMHF0d7ZCs6jAPKtQNKmYz6EgRBwzU/UOuZxPtCbgD3rwBxD7WGE275Sj0Shr2AYnVEGAqCYFGkyt/KkUHaybg72YMZ+BvBkciWsE7KPs0VB4KQu6EZ++iLwFPTgMo9AAdXIPgKsOsn4M82wNoPrb1CQRByGSIGrSwGWV9ZIrvNKL66F5jTX4twCIKQfpzzAtX6Av1nasKw3z/a75zjzS9XOmxCWf2+5uEZH2/NFQuCkIORcI4V4Gg/XQySUgXdcOZWWPaoG4yJBJa+Ctw7D+T1BbpPtPaKBCF7w+57vXaQ/7/sTD6Wjy8E9k7WNg8foEqPRz6ejbRxeoIgCGZAxKCVI4NE9xrMFvYyW8ZrQpAnJpm8IAjmxbTJhJRrC4TdAs6uAsJvAfv+0DYPb61zuc3HgGs+a61WEITcmia+du0arl+/bvx93759eOutt/DHH3+Ye205XgyGhoYiKioKfoU0X77L9yJg01w/COz6Wbvc7UetOF4QhKyjdAugz+/AqAvAM/OBWoM0r8LwQODkEsDJI+HYexeBuFhrrlYQhNwSGXzmmWfw0ksv4bnnnsOtW7fUzOKqVati9uzZ6vexY8dmzUpzEF5eXnB2dlbG3OwoLv1IDPrftWExGBejpYcN8UD1p4FKJpMXBEHIWhycgQodtS12IuC/DXhwN6Fxi/WEf3cDYqOAyt20lHPploC9o7VXLghCTowMnjhxAg0aNFCX58+fj2rVqmHXrl1KDP79N82HhSfBphEfHx91+ebNm0YxyJrBmDgbLRLfMxm4c1ozyu30jbVXIwi5FwcnzdOz5oCEfSFXNauayCDg0D/ArL7Ad+WAJa8C59YBsdHWXLEgCDlNDMbExKioFtmwYQN69OihLleqVEkJGyFt+Ppqo6z4mnnndYGroz3i4g24ft8G7WUYdTg2T7vc/nPNVFcQBNshvx/wzjlg8DKg3guAexEgKhg4MguY8zSw8TNrr1AQhJwkBpkSnjJlCrZv347169ejU6dOan9AQAAKFhSRkBExaGeXx1g36H83HDaHnR3w4gatTrBmEgNdQRBsA6aMy7QEuk0A3jkDPL8SqD9cazap1C3huCu7gEXDgTMrte5lQRByPemuGfzmm2/Qu3dvfPfddxgyZAhq1qyp9i9btsyYPhaejGmamJQp5I7TN0Nx6U4E2lSCbXY51htm7VUIgpAWaDvj10zbOn+b+LrjC4Dj87WNDSisQ6RdDScJOWnOBoIg5C7SLQZbtWqFu3fvqk7Y/PkTuknZVOLmJh8kGYkMEptsImFn4qklQNXe4mkmCNkVRvZNqf2cNvXk1FIg9DpwYpG2OboB5TsAPX4GXDyttVpBELLLBBKDwYCDBw/i999/R1hYmNrn5OQkYjCnicHDM4FFLwD/9OQf3dqrEQTBHHD2caevgJEngBc3Ak1eB7xKAjEPgIBD2nQUUzuphzZYuiIIgnUjg1euXFF1glevXlXWKLSWyZs3r0of83fWEwoZEIOFbUwM8gSw+SvtMuuN8uSx9ooEQTAn/D9dvJ62tf8CCDgMRNxN+L/ODuRZvYHYh1oKmXY1FTpJ1FAQciDpFoNvvvkm6tWrh6NHjyZqGGEd4fDhw829vlwjBlkzqH4PicKD6Fi4OVl5OAzNpSNuAwXKSK2gIOR0KAAZMTQl5BrgVggIugicWaFt9k5A2baaMKzYWaafCEJuTROzi3jMmDEqLWyKn58fbty4Yc615QoxyJF0cXFxyOfmhPxumkHs5btWHkvH8Ve7ftIut/1E8zUTBCF3UbAs8PpBYMROoMUooGB5IC4aOLcaWDIC2P2LtVcoCIK1xGB8fLwSL0nhiDqmi4W0j6Szs7NTr+edO3dsq25wy9da/VDx+loEQBCE3Bsx9KkGtBkDvLYfeGUP0PJ9oHBlrQNZ5+wazeiahtcPgqy5YkEQLCEGO3TogIkTJyaaphEeHo5PPvkEXbrIiLK0Ym9vb5xRnNBE4mF9r8H7l7XGEd1gWmoFBUEg/CwoUhlo/QHw6h5NJOqcWAhc2AAse12bfPJPL+DAdCBc+6IrCLbEr7/+qrKZLi4uaNiwIfbt25fqoI3PP/8cZcuWVcfTTm/NmjWJjmEj7VtvvYVSpUrB1dUVTZo0wf79+x9rvOW4XmYFeUy7du1w/vx5ZFsx+MMPP2Dnzp2oUqUKoqKi1KxiPUXMJhIhE3WDj5pILlkzMhgdARSrB5RpDZRqYr11CIKQfWC0sM3HgE91wBAHXNoMrHgL+KGCNjM52sqlL4LwiHnz5uHtt99WAaxDhw4pcdexY0dVspUcLIujc8rPP/+MU6dOYcSIEapH4vDhw8ZjXnzxRTWEY+bMmTh+/LgKmlHsmZbOffvtt/jpp59Uk+3evXvh7u6uHpc6yiYwZICYmBjDzJkzDaNGjTK8/PLLhqlTpxoePHhgyK5cu3aNvinqpyXp0qWLetw///xT/b7yWICh1HsrDL1+3WGwKvHxBkNkiHXXIAhC9uTuBYNh+wSDYUoLg+ETT4PhtyaJrz+7xmAICbDW6oQcRnrP3w0aNDC8+uqrxt/j4uIMRYsWNYwfPz7Z4319fQ2//PJLon19+vQxDBo0SF2m9rG3tzesWLEi0TF16tQxfPTRR+pyfHy8wcfHx/Ddd98Zrw8ODjY4Ozsb5s6da7AFMtSy6uDggGeffdb8yjSXkZLX4MXb4SqkzBS8VeDjin2EIAgZbTxpNlLbWHYSfjuxZdX8wZpdTclGWk1y5R6AVzFrrljIATBVy2EYOs7OzmozJTo6Wnkkf/DBB8Z9rN1v164ddu/enez90jKP6WFTmObdsWOHuhwbG6v6KFI7xt/fH7du3VKPo+Pl5aVS1HzcAQMGwNqkWwxy7FxyULjwxShXrhxKly5tjrXlSjFolwcIjYrFnfCHKJI38ZsrSwnyB47MBhq9ArgVsNzjCoKQc8nvp2064YGATw3g+j7g6m5tW/M+ULyBJgyr9gK8iltzxUI2haVrpjAN/Omnnybax+lpFG7e3t6J9nt7e+PMmTPJ3i9TuRMmTECLFi1U3eDGjRvx33//GRtp2TjbuHFjfPHFF6hcubK6r7lz5yqRRz1EKAT1x0n6uPp12U4M9urVSwk/Rq5M0ffxZ7NmzbBkyZJE4+qEJ88ndnG0R8kCbrh87wEuBIZbVgzu+BE4NAO4fRoYMNtyjysIQu6KGr64Hgi5AZxepo3Eu7pHE4fcDPFA0ze0Y3mOkQY2IY2wnq9YsYQIc9KoYEaZNGmS8lCuVKmS0jcUhEOHDsW0adOMx7BWcNiwYerx2Rxap04dDBw4UEUhswvpbiBhkWT9+vXVz5CQELXxMsOdK1aswLZt23Dv3j28++67WbPiHBwZJOWKaPY8F+5YsKM4LBA4Ole73Pg1yz2uIAi5E6aFG70MDFsDvH0a6PwdUKopUKVHwjFH/wV+b6l9UQ26ZM3VCtkARug8PT2NW3JisFChQkqsBQYGJtofGBhoDM4kpXDhwiq4FRERoSawMYLo4eGBMmXKGI+hQNy6datyVrl27ZrqTmYXsn6Mft/peVybF4OcQMKQadu2bdWLz42Xv/vuO4waNQpNmzZV1jMUiEL6xWB5b81e5nygBcXg3imamSxTNazjEQRBsBSevkDDl4ChqxKnlBk1vHkE2PAp8FNtYEozYNv3wN0L1lytkI3hsIy6deuqVK8OvX43btyoUr2pwTI4Rv5YI7ho0SL07Pm4By87hHlev3//PtauXWs8hqVzFH2mj8v6RnYVP+lxbVYMXrx4UanupHDfpUvat7fy5cur3LyQOkWLFjWKQT3tXr7IIzF4O8wyi3gYBhz4S7vc9E1JywiCYBv0+BnoNhEo0wrIYw/cOg5s+gL4pS4wuRkQYyOWHEK2grYyU6dOxYwZM3D69Gm8/PLLKurH1C8ZPHhwogYTCjbWCFLfcAJbp06dlIAcPXq08RgKP3oPslGEgbDWrVurtLJ+n0wv04dw3Lhxqu+C9jN8HGoAlt6llw0bNqjAm16ryCikxWsGqaoZAfznn39U+JRwggZfGKaPCY0US5QokenF5XT4DYJvEnY4UTzz9Sz3SAxeuG2hyCAnBkSFAAXLARXFNFwQBBvBozBQb6i2RdzTZiMzWui/FXD2ABxNaqoPzwaK1tZMseULrZAK/fv3V5qFBtBs3qhVq5YScnpzx9WrV1WHsQ59AOk1SDHI9DCHa7BGMF++hLncLJejgOQktgIFCqBv37748ssv4eiojZgl1EgUnS+99BKCg4NVbwUfN2kXclp49dVXlW8hI5WTJ0/GZ599poRmZshDf5n03ODs2bMq9EkFrAs+5siZG1+6dCkqVKig8uts837uueeQHeAfkM+Fz6N48eIWF4R8Q9L8snbt2oh4GIuqn6xV1x36uD0KuGfhXOC4GGBSLSD0OtB9ElD3+ax7LEEQBHPAcXe0qylSSfudQvH78prZdaEKWlcyR+V5VxVhmAuw5vnbWlAr6KbX7GpmlHDPnj2WjQxWrFhRde2sW7cO586dM+5r3769UU1nJOyZW+Gbl2KQb2j+gd2dHVAsnytuBEeq6GCD0llo8xIdDpRtDVzaAtSwvs+RIAjCE6H1lan9VVQwUL4DcHEjcPccsO07bStQVhOGtZ4BCpW35ooFwawwsrlgwQKlvbgxu5hZMmQ6TdHHvDk3IfNi8MCBA0oMmjaRUAyybjBLxaBrfqDnL5oBrIN52vAFQRAsblfzzL9aucu5tcDJJdqc5KCLwI4JQP5SCWKQn3V2jjyJWXvVgpBh3nnnHZVi/v7771V3M42x+/Xrh+rVq6stIwG5DIlB5r3ZRs3celJF+sYbjzyihDShh7UTicEiHthy9o7l6gZFCAqCkN1x8QJq9NM2NsZRGJ5akrgW+uDfWkdypa5A5e6AX3PAIQtLcQQhCxg5cmSi31m2d+LECbUtXLjQMmKQeWoWUD548ECJQhZLsvnBzc0NRYoUETGYQTHIegcdizSRHJkDeFcDfGtk3WMIgiBYA+e8QPWntM2UCxuBiNvAwena5uwFVOykCcOybQEnN2utWBDSDBtWOM5Oh9Y13Lp3746M4pARRcoHnDJliloMixbZMcNZxfQgFDIfGdSNp7PMa5AF2CtGArFRwIgdgE/1rHkcQRAEW6L/LODyduD0cuDMSk0YHpunbYwsvnteMiWCzcPpbmyaqVq1KqpVq6ZSw/zJkXwZnbyS7sKJI0eOqHw16wbp5M1cNRfFNucPP/wwQ4vIzSQvBrXI4K3QKIRGZd4/6DEOz9KEIEUgo4OCIAi5AaaEy7UFuk8E3jkDDF2jTV3KVxIo0TCxEFw1GjgwXetcFgQbgt6InKbCLmL6GXLsHS3/GB3k7xaJDDIKqHcNMy3MukEOZ2aU0DTVKaRfDOqznb1cHeHt6YzA0IcqOli3lBlnPMfHJ5hM1x8u1guCIORO7OyBUo21rcM4rQFFJ/gasO937TKzKJzMxFRypW5aQ4ogWJFff/1V6S0aTm/ZsgUff/yxmvymdxpbJDJI+5P9+/eryy1btlTGjbNnz1bu2gxTCulDH6wdGRmpRtjoVPDWU8VmnkTivwW4f1lLiVR/2rz3LQiCkB3hl2LXBBNhOLoCbT8BitYBYACu7gbWfghMqgFMaa6lmQXBijAj+8cff6iN01Q6d+6sbP/0YSBZHhn86quvlKE0ocM2R6owZMkRdH/99SjiJKQZuo8z3MsmHN29nFTyyYvt5+/izC0zi8FDM7Wf1ftJsbQgCEJyuBcCmr+tbSHXtfpCCsArO4Fbx7RZ7jqhN4GwAE04SqZFsAAco8cBINx4mWOC2dB78uRJVTdoETFYr14942Wmiel1I2Q+VayLwRo1tO7eSj7a/OfTN0PN2zjCkU6k9rPmu19BEIScildxoOH/tC3iLnB2NVCufcL1R2YBm8YBnsWByt20VHLJxoB9hpzbBOGJsHGEWoHegpy1zFI909F3FkkTt2nTRs3VS0poaKi6Tkg/+lg/0yaSSr5ampiRwXRODEyZexcA1wJa40jRWua5T0EQhNwUMazzHOCifVlXxEQBju7aWM+9U4AZ3YAfKgBLX9O8DuNirbliIQfy/fffo27dumoEMKe/NWnSBEOHDsUPP/yAtWu1cbZZLgZZrJjc6BMOc96+fTvMzY0bN5RtTcGCBeHq6qpaqDmxQ4dCiXWLnPHL69u1a4fz588jJ3QU29vlQUhkjOoqNgslGgAjTwID5pjn/gRBEHI7bT8GRl8EBv4L1BqkTXZ6cA84PBNY+II2M1lHhKGQQa5cuYLly5dj3759KhrIsry9e/ciMDAQ8+fPR58+fZQ2mznzUSlYOklzHPvYsWPGyyxS5DxdHQ5KZrpYb4YwF2yoYOt069atsXr1alUYSaFHjx0dWtr89NNPqoCSbdXsqunYsaNaI+vxsqsYdHawR9nC7jgXGI4zN8Pg6+Vqngdj6oI2CoIgCIJ5YMNJxc7aRsHH2kLWGOaxS7CrYYZnSlMgr4+WSuZkFC/znjOFnMncuXPx/PPPIyYmRjmOsJFX10QWN52uVauWWgS35NLBjMr9/PPPMCfffPONSqFOnz7duI9P2DQqyHbqMWPGoGfPnmrfP//8A29vbyxZsgQDBgxAdhWDet0gxeDpW6FoXalI5h7kzlmgYDnNTkEQBEHIGviFu0xLbTMl6BJw54y2XdoCrHoXKFobqNhVG49XpLI0oAjJ8tlnn+GZZ57BBx98oCxl3nvvPbz//vtmbdpNc5qYs+/YsUIBxjAlf9c3pnJZMzhs2DCYk2XLlqmGlaefflo1q1ANT506NdGaGKFkaliHfocNGzbE7t27U7xfGmVzvfqmd0fb0ki6RHWDNzO5vtho4K8OwI/VtA8kQRAEwbIULAu8fgho/wVQohH9bICAw8DmccDkxsCGT629QsFGuXTpEj755BNUqFABbdu2xaxZs/Dvv/+a9THSHBksVUoz2oynabEFX4DJkyer/Dinm9DfkLOPnZycMGTIEGOqmpFAU/i7aRo7KePHj1dK21bQxSANvHXjaVL5UUfxmVuZ7Ci+uBGICtbSFfnEMFUQBMFqgrDpG9rGySbsTKZtDSOFpZomHEeRuP9PLZ1cppWWhhZyLbGxsXBzS7CC45QRajHqHB8fH7M8RoZ631m3t3nzZty+ffsxcchmDnPB+2ZkkN6GhJHBEydOqLnIFIMZhaFWCkwdRjYz6s1jDkqW1Gr4Hjx4gHv37infQdPI4MU7EXgYG6fqCDPE8YXaz2p9JU0sCIJgC3gUAeoO0baHYYCDSY37ySXa2FBujm5A2TaaMKzQEXDTvGiF3MWMGTNUDwUtZTw8PODg4KA0g7lItxhkmlafi0dFqkexCC+bUwyyQzipSKOfzqJFi9RlXRGzm4bH6vB31jimBAc5mw5zZqrYmrDRhc+FKp8dQ7oY9PF0UaPp2FF84XY4qhb1Sv+dPwwHzq7SLld/yswrFwRBEDKNs/bF3wiFX0ykFjWkZQ39Ybnl4Qi9JsBT0zQxKeQKmjdvjnHjxqmSNo4DZu8EHVxYM8gyOQbN8uZN8h7KamsZLoiTRyhcjhw5gsOHDxu3Q4cOwZxQBdNh25Rz584ZU9Z8QSiiNm7cmEjYsd26cePGyE7oz4li0FRccxJJpuoGmYaIeQAUKPNotJIgCIJg05SoD3T5Fhh5AnhpK9BiNFCkqmZTc/s04FYw4Vh6Gd46rnUrCzmSrVu3IiQkROkh1gv27t1bjQNmGR1rCOmwwkCZRSODtHthQ4clGDlypDJTZJqYTttsXNFn8eliiTORKVA5Dk+3lilatCh69eqF7ISfn58SsZcvX060v7KvJ/b6B+FsRmcUH1+g/eQcYulUEwRByD7wM5sDAri1+QgI8teaAPVyH5ZpLWP94S3NMowRRXYms0FFJqDkOMqXL682U6cUNtLSe5kBucyQ7ncLheC6deswYsQIZDX169fH4sWLVY3f559/rsQerWQGDRpkPGb06NFqJt9LL72kJqM0a9ZMeR5mF4/B1CKDRI8MZmgsHcfPsXmEVJMUsSAIQramQGlt03kYAhSvB1zYCARfBfb8pm2cNFW+A1CjH1CurTVXLGQxusdgZoN06RaD5cqVU9G3PXv2qGkgSefhsdvXnHTr1k1tKcHoIIUit+wMI4MkucggORkQmqjTOE3QCX/YOuDyNqBwBfMuWBAEQbAu/IwfMBuIfgBc2qzVGLI0KDIIOPavNj5PF4O0GAsPBPJp408FIVNikCladrIwh83NFAoVc4vB3EJKkcGKPnnhYJcHQRHRuBkShaL50mExQOFYvK62CYIgCDkTJzctPcyNE1Cu7QXOrQaq9E445vJ2YFYfbTZ9hUfTUnxrAXbpbh0QciDpFoPMTwuWiwy6ONqjvHdelSY+fiMkfWJQEARByF2wVtCvqbaZwsYTjsdjswm3bd8CeX01uxqOxivdEnDMXuVVgvnI8FcCDkRmZwvNEAXzRQbZMcTNlGpFH6WKbyTenyr0qVr2OnB1r3kXKgiCIGQ/mrwGvHsB6DUFqNwDcPIAwm4CB/8G5vQDgi4mHBsfZ82VCtkhMkiTw9dff10ZIOpWL2XKlFH7ihUrpublCenH3d1d+QvevXtXpYppLKlTrZgXFhy8riKDaeboXODcGsCrBFCyYdYsWhAEQcg+uBcEag3UttiHWuqYNYaBp4AiJp6+S17WOpcrdtKihoUriRuFlTAdkPEkJkyYYDkxyM7eo0ePYsuWLejUqZNxP40PP/30UxGDmYwOUgwyVZxUDJITAWnsKKab/cVN2uXK3bNkrYIgCEI2huNJy7XTNlMYFTy/Doi8D1zfB2z8HMjvl1BnSNNr+8SNo0LWkdQyhn7OzMhWrFjRGJCzt7dH3bqZ6w1ItxhcsmQJ5s2bh0aNGiXqbK1atSouXjQJMwsZqhs8ePDgY00kVXw9YZcHuBP2ELdDo1DE8wl1HfyPHBcNFCynfaMTBEEQhLRAD8OXd2mZJUYNL20F7l8G9k7WNs5QHvpoqpWQ5XD0r2nkj5NGmJml0bTu/Tx06FA1pcSiNYN37txBkSKPj8Gh11+6bE+EFOsGkzaRuDrZo1wRD3U5TaniU8sSooLyNxEEQRDSg2dRoN4wYNAC4D1/oP9soNazgFshwK954nGnM3sDeyZraWUhS/nhhx8wfvx4oxAkvMzBG7zOomKQM/BWrlxp/F0XgH/++We2GwFnqx3FSSODpNqjucQnbjwhVcx5lufXa5clRSwIgiBkBid3oHI3oNevwLvngKYm9nH0NmRJ0pr3gZ9qAb82BNaPBa7s1ixuBLPCcbsMyCWF+zi32KJpYo6G69y5M06dOqXy1pMmTVKXd+3a9ZjvoGCeyCCpWswL/x2+8eTIoP82ICYC8Cwms4gFQRAE86aQKQ51itUFOo4Hzq4CruwC7pzRtp2TNEPsvn8+XpMoZBjOJGZKmFHABg0aqH0cYztq1Cj06dPHspFBjns7cuSIEoKcQMLRdEwb7969O9MFjLmdlLwGSfVHTSQnA54gBmOjgAJlNe8oSRELgiAIWZlObvwK8PwKYPQl4KlpQPV+gEs+rQGF5yLBbEyZMkUF45555hkVPOLGy2zm/e233zJ133kMnHGWy7l+/TpKlCiBa9euoXjx4lZbB8O8np6apyC9BvXLJPxhLKp9slZdPjCmHQp5OKd+Z7QNYLeYIAiCIFgSpohvHrXI9CtbOX9bEvZo6A27ZcuWVdZ0mSXdkcFVq1Zh7VpNlJjCfatXr870gnIz7BLSm3OSdmZ7ODugTCH3tDeRiBAUBEEQrDUFRcagZhkUf7Sf42YOIZghMUgfwbi4x93JGWAUj8HMQ5VPkrPpqVFcSxUfvRac/I2Dr2nDyAVBEARByHFs374dzz77rGrYvXHjhto3c+ZM7Nixw7Ji8Pz586hSxcSp/BGVKlXChQsXMrUYIXUxWKtEPvXzSEpi8L/hwLelE7qJBUEQBEHIESxatAgdO3aEq6urMqN++PChsayMzb0WFYNeXl64dOnSY/spBM0VrszN6GIwOWFdq2R+Y2TwsVLPB0HAtb1AdDhQWHMmFwRBEAQhZzBu3DjVRDJ16lQ4OiZMgWnatKmaTGJRMdizZ0+89dZbiSJXFC7vvPMOevTokanFCKlHBiv75oWTvR3uP4jBlXsPEl9JrydDPFC4MpCvpKWWKwiCIAiCBTh79ixatGiRbJAuODiFjGFWicFvv/1WRQCZFi5durTaKleujIIFC+L777/P1GKE1MWgs4M9qhT1TD5VzNFBpEIHC6xSEARBEARL4uPjk2zWkPWCZcqUsazpNBUoDabXr1+Po0ePqtw1O1qSU6tCxsUg2+RZD+DsnLgruHbJfEoIcutVu5i2Mz5eiwyS8iIGBUEQBCGnMXz4cLz55puYNm2amv4WEBCgPJ7fffddfPzxx5YTgzExMUr80XS6Q4cOahPMC61lPDw8EB4ersynK1asmGwTyeGr9xN2Bp4AHtwDHN2B4poruSAIgiAIOYf3338f8fHxaNu2LR48eKCCcAwYUQy+/vrrlksTs2CxZMmSyVrLCOaBaj+1JpLaJbQmklM3QxEVE5cwH5L4NQMcnCy4WkEQBEEQLKUPPvroIwQFBeHEiRPYs2ePmkv8xRdfZPq+010zyIV8+OGHajGC5esGSxRwRQF3J8TEGZQgVFToDLQdC9R5ztJLFQRBEATBArRp0wafffYZnJyclMUf5xMzk3j//n11nUVrBn/55RcVsSpatKiai5fUTiaz7c1C6mKQ3wyYKt505jaOXA1GHdrNFK4AFH7HCisVBEEQBMESbNmyBcePH1ceg7Nnzzbqr+joaGzdutWykcFevXqp/PQHH3ygBiTTasZ0E7JWDKbJfFoQBEEQhGT59ddf4efnBxcXFzRs2BD79u1LtVfi888/V+dlHl+zZk2sWfPIveMRLJ1jAwfdVdhXwWOZujX1A37++edVMMd069SpU7rXvmHDBty6dQuNGjVSfQXmIt2RwU8++cRsDy5kTgwevnYfOLUMiIsGyrYB3ApYdJ2CIAiCkJ2YN28e3n77bWXeTCE4ceJENdWDHn5s4EzKmDFjMGvWLGX0TEu9tWvXonfv3spVpXbt2uqYb775BpMnT8aMGTNQtWpVHDhwAEOHDlXuK2+88Ybxvij+pk+fbvw9qVtIWvD19VVRQN5//fr1sWDBAmXvl1nSHRkkNDf8888/VXRQrx1kelifkyeYRwxy0ktyzTq1SuZDnjzAtaBIxGz9Hlj0AnB+nRVWKgiCIAjZhwkTJiiLFoop1t1RFLq5uSm7luTg3F/2SXTp0kV5+b388svq8g8//GA8hsKQmdGuXbuqiONTTz2l3FaSRhwp/ugVqG/582sNoWmF0UT9fubMmaNsZigwf/vtN1hcDB47dgwVKlRQSpgm07rr9X///afEoZB52LHNAlHWAdBvMCmeLo6o5OOJfAiDQ+AxbWeZVpZfqCAIgiDYAGFhYQgNDTVu+txeU3hOPXjwINq1a2fcZ2dnp36nX19y8H6YHjaFqWAaPes0adIEGzduxLlz59Tv9GDm9Z07d36s5o/RR1rGUVTeu3cvXc8x6RhaRi1ZO2gqTC0mBhleZe77/PnziV4gKuVt27ZlekECYG9vj3LlyqnLDF0nR32//GhidxJ5YNBG0OX1sfAqBUEQBME2YJSPaVl9Gz9+/GPH3L17V2XbvL29E+339vZWdXjJwRQyo4nUPPT448ANBr9u3ryZyP9vwIABKo1MCz6mjzm2d9CgQcZjGMH7559/lGhkMI2pXorF9Fj1+fv7o1ChQon29e3bV1nMpBTZzLKawf379+P3339/bH+xYsVSfDGF9MNvDqdOncKZM2fUmzEp9f0KIGj/ae2X0jL9RRAEQci98HxJHZKZerzkmDRpkkorU+jpPsBMMZuKr/nz56sIHVO3rBnkYA6KQbquDBkyRB1DsahTvXp1NbmN98VoIU2k0wIdXJKjWrVqarOoGOQLzBBsUhgeLVy4cKYWIySgTx5JKTJYzy8/QuzOqMuRxRrB1aKrEwRBEATbIW/evPD09Ez1GEbVmHkLDAxMtD8wMFDV8CUHdc2SJUsQFRWl0roUeIwEms4CHjVqlDE6qIu9K1euqOikLgaTwttzPbTqS00MMhvLzmTayPByajCCaTEx2KNHD9VmTSVMqJSvXr2K9957T4UrBcuIQV/HSPjaafWER/JUQWOLrk4QBEEQshesxa9bt65K1dImjzD1u3HjRrz22mup3pZlcYw80mpm0aJF6Nevn/E6joZj7aEpFJ2875S4fv26EpfsDk4NegryMfXLT2ousZgYZKEiO2VYBBkZGYmWLVuq9HDjxo3x5ZdfZmoxQgIMSacmBnFDM/c+H18Mu2/lQeMallydIAiCIGQ/GF1jtK5evXpqggetZSIiIlTqlwwePFiJPr3mcO/evcoppVatWurnp59+qkTe6NGjjffZvXt3pX/Y/Mk0MUUbo3TDhg1T14eHh6vJIQyYMQJJ2zjenr0ByZWBmbJ58+ZkL5ubdItBFmaygJKdMuws5pOsU6dOou4cwXyRQb752CXFEHgiyrfD4tYbMG3NHnhcvm+dRQqCIAhCNqJ///5qnu/YsWNVIIsib82aNcamEmY6TaN8TA+za5dWbxz9xmZZ2s3ky6f5/ZKff/5ZmU6/8soruH37tkol/+9//1OPoUcJqZfoQ0gHFl5P6xmmf81V25hZ8hiS9irnQhiuLVGihLJxKV68OGwFRl/5pqWBJUPbSTkfGIb2P26Di6Mdjn3SEU4OGbKNFARBEIRsia2ev83Fk+oErVYzSJhf//HHH3H6tNbNSvdrds5IdND80UGKQaaKkxOD5Yp4IL+bI+4/iMHJgBDU5pxiQRAEQRByBIdTqRO0as0gna7pes26Qf4k9Lhh6JQC8dVXX83UgoTEYpDp+MfqBi9tAXb9jDyVe6BuqarYcDoQBy7fFzEoCIIgCDmIzVlYJ5gpMfjVV18p0WfaecPZe02bNlXXiRi0QBPJxU3AhQ3KaLpB6WZKDO65dA/DWyS0uguCIAiCkDM9Fa9evaomqphGBtnIYjExyOJHOmknhcWQtJcRzN9EQuPpRFzZpf0s1RSNH7mR7/MPQmxcPBzspW5QEARBEHIaly5dQu/evXH8+HEl/vSWDz1FnJ5pJkmxy4jP4OLFix/bv3TpUnTr1i3DCxFSFoM09Db6FcVEAgGPaghKNkaVop7wdHFA2MNYnAx43AxcEARBEITsz5tvvonSpUurjmU3NzecPHlSjQGmTQ4nmWQGh4zM/6OfDh+Y3oJ6zeDOnTvxzjvv4KeffkqUPhYyDv/oDg4Oys+RHVP0MELAESA+FnAvAuT3g32ePGhYpiDWnwrErov3ULNEQru7IAiCIAg5g927d2PTpk1qcgntb7g1a9ZMeSJSb6W12cQsYvCvv/5C/vz5Vc6amw49d3idDsOWIgYzBwde05SSaWK+1koMXt+nXVmiAV9kdbFJWV0M3sXLrcpad9GCIAiCIJgdpoF1z2EKwoCAAJVB5MziFAdUZJUY9Pf3z9QDCumDw6cpBhkOVrWa10zE4COalNXqBtlRHB0bL36DgiAIgpAD9cDRo0dV1rBhw4b49ttv1Yi9P/74I9Gs5IwgqiEb/PEJxaDC3glwdAOKJ4jBCt4eKOjuhMiYOBy9HmytpQqCIAiCkEVwEoreP/D555+r4Fzz5s2xatWqRCV6FjOdFiwH5xySEydOaDueng7ExRpTxHpKvlHZglh57CZ2XbiH+n4FrLVcQRAEQTASExeD00GnUaNwDWsvJdvT0WSOsV5CFhQUpEr3Mms6LZHBbBQZNHYU2zsAdvaJjmPdIGHdoCAIgiBYi/tR97Hs4jK8veVtNJ/XHM+tfk7tE8xPgQIFMi0EiUQGbRyqf9YEPHjwAFcunkfp8prdTFL0usHDV4MRFRMHF8fEYlEQBEEQsgL63V0Mvogt17dg67WtOHrnKAzQPPBIQZeCuBJ6BfldZEpWZomKisKxY8eUvYwxQGRi/ZdRRAzaOLSW4SQS/vFPTHwKpSs5A72nAMXrJTrOr6AbfDxdcCs0SjWSNCuviUNBEARByIr074HAA9h6fasSgNfDrye6vmL+imhZoiVaFW+FqoWqwi6PJCIzy5o1azB48GDcvft4BpDRwcyYTmdIDG7fvh2///47Ll68iIULF6JYsWKYOXOm6nCh541g/lQxxeDJcxfRvbAj4FEk2TdC03KFsOjQdWw/f0fEoCAIgpBlPLPqGZwJSpiO5WjniAa+DZT4a1m8JXw9fK26vpzI66+/jqeffhpjx46Ft7e3We873VJ90aJFqojR1dVVGRw+fPhQ7Q8JCVGziYUsbCIJjAU8fACvEske17JiYfVz67k7Fl2fIAiCkDOJio3CtBPTMGLDCMTExxj31/WuiwIuBdCrXC9MbDUROwbswJR2UzCg0gARgllEYGAg3n77bbMLwQyJwXHjxmHKlCmYOnWqMkXWadq0KQ4dOmTu9QmmTSR34rT0cArFos3LFVJXnbkVhlshURZepSAIgpDdoeC7HHI5UcRvxskZ2HljJw4FJpzjX6/9Ojb324wvmn6BtqXawo2WZ0KW8tRTT2V67JzZ0sR0uW7RosVj+728vBAcLB53WRkZPH0nHrHeNVP8o+V3d0KN4vlw9Fowtp2/g371ko8gCoIgCIJOWHQYdtzYgc1XN6ufLg4u2PD0BlXnZ29njxervwgHOweUzZcw4crd0d2qa86N/PLLLypNzFK96tWrJwrIkcxMfUu3GPTx8cGFCxfg5+eXaP+OHTsy7YAtJA9rMV0d8yAyxoCLsd5Ivp9Yo2WFwkoMMlUsYlAQBEFIjpvhN7H52ma1Hbh1ALGGWON1FH63Im6hqEdR9ftzVZ6z4koFnblz52LdunVwcXFREUJTS5nMjgBOtxgcPnw43nzzTUybNk09OGfjcXjyu+++i48//jjDCxFSxu5hCKoWzoMDAQacvIsniMFC+Gnjeew4fxdx8QbY22Xef0gQBEHI/vYvZ++fVdE/CkAaQZtSxqsMWpdojVYlWqF6oeoqIijYFh999BE+++wzvP/++7CzM293drrFIBdBb5u2bdsq7zumjJ2dnZUYZKeLkAXERKJapQo4EHAGR89cQp9UDq1ZPB88XRwQEhmjRtPVKSm+ToIgCLmV2PhYfLv/W2y5tgU3I24a9+dBHtQuUlsJwNYlW6OUZymrrlN4MtHR0ejfv7/ZhWCGxCCjgVSno0aNUuni8PBwVKlSBR4eHmZfnPAIz6Ko1WMEsOktNaQ6NRzs7dC8fGGsPH4TW8/eETEoCIKQy+r/zgadRT2fesaUL/0AKQRd7F3QuGhjJQDpAchuYCH7MGTIEMybNw8ffvih9cXgsGHDMGnSJOTNm1eJQJ2IiAgVGWT6WDA/tWrVUj+PHDnyxGNbVCikxCCbSEa2r2CB1QmCIAjW5lrYNfRY0gP2eeyxfcB2uDq4qv2v1noVdrBDo6KNjPuE7EdcXBy+/fZbrF27FjVq1HisgWTChAmWE4MzZszA119/rcSgKZGRkfjnn39EDGYFgadQq7rWUXzlyhU1mJrzCFOiRQXNb5CNJPcjolWXsSAIgpBz6v/O3T+nav94+eVaL6v9xT2Ko4hrETjZO6kGkTL5tKbOtiXbWnnFgjk4fvw4ateurS6fOHEi0XWZnU+cZjEYGhqq3nTcwsLCVDeLqVpdtWoVihR5fDKGOaEI/eCDD1QDy8SJE41z+t555x38+++/ygCbhti//fZblpgyWoUHQcDkxvBycEVpPz/4X76sUsWtW7dO8Sa+Xq6o5JNX+Q1uPnsbfeoUt+iSBUEQBPP7/9HnjwKQ9X83wm+o/Xmd8uLFGi8qP0AKgnnd5iGfSz5rL1fIAjZv3oysIs1iMF++fOqNxq1ChcdTj9zPLpesYv/+/WoEHkOjpowcORIrV67EggULlNfha6+9hj59+mDnzp3IEQQcTqgbrK2JQaaKUxODpH0VbyUGN5wOFDEoCIKQDQmPDseOAM3/b/uN7aoeUIf1f0z7tinRRgVpdEQI5kxiYmLQqVMnNfSjfPny1hODVKR8w7Vp00aNpDNNUzo5OaFUqVIoWlTzJDI3bFIZNGiQmnrCCSg6HIH3119/Yc6cOWpdZPr06ahcuTL27NmDRo0aIceIwaK1UatWKSxevDhNdYPtKnvj500XVBPJw9g4ODuITYAgCIKtczfyror+bby6EXtv7lXdwDps+ODcXzaASP1f7sLR0RHHjh3LsvtPsxhs2bKl+unv748SJUpkSWtzSrz66qvo2rUr2rVrl0gMHjx4UKll7tepVKkSSpYsqbwPc5oYrO2stf5zJvSTqF7MC0XyOuN22EPsvRRkrCMUBEEQbJOQhyFot6Ad4gxxxn1+nn5G+5cahWqI/18u5tlnn1UBMJbMmZt0N5AwAkjoMXj16lXle2NK0jRuZmEtIGceM02clFu3bqmoJFPYprBekNelBGsLuemwBtJmufnISsa3JmqV0Ka+nD59WtVKmtZtJsXOLg/aVvbG3H1XVapYxKAgCIJtRQDnn52PoKggjGk0Ru3zcvZCjcI1EB0XrZo+uOlNIIIQGxurmnQ3bNiAunXrwt3d3XrdxHfu3MHQoUOxevXqZK9nM4m5uHbtmmoWWb9+farCJ72MHz8+S+sbzUbkfSDkmnbZpxqKu+RT6Xl2E586dQp16tRJ9ebtqxTRxOCpQHzWo2qmu40EQRCEjBEXH4fQ6FDkd9G8XyNjIzH56GRlA/N67deVECRTO0yFs72zlVcr2CLsINbP++fOnbNON7HOW2+9heDgYOzduxetWrVSNWyBgYEqffvDDz/AnDANfPv27USih2Jz27ZtamAzvXYYmeR6TKODXA9nKKcEO5Lffvtt4+83btxI5JloMwSe1H56lQRc84N/araVb9y4UaWKnyQGm5QtBBdHOwSEROHUzVBULap92AiCIAhZDyN8rPtj/R/rAGsWromf2vykriuRtwQGVR6ESgUqqU5gHRGCgk13E+ts2rQJS5cuRb169VTdINPG7du3h6enp4q4sbbPXHDkHX11TGFUknWB7733nqpdZFElxVHfvn3V9WfPnlXp68aNG6d4vxyfx83UNscm8SoOtBkDmHxQ0HyazzctTSQujvZqGsn6U4HYcOq2iEFBEIQsJiImQnX+brqyCdtubFO/65y4e0I1hHAqCHm/wftWXKmQHQkODlZ1gywXI1WrVlXDQOimYlExyEkjup9g/vz5VdqYVjPVq1dXtX3mhMbW1apVS7SPOfKCBQsa97/wwgsqysf0KQUpp6BQCOaI5pH8fkCLUYl26YaTjJqmhfaVvZUYXH/6Ft5sZ/52dEEQhNwO6/7o/ccI4J6APYiOT6ilL+xaGG1KtlFbfe/6RiEoCOnlwIEDykvZ1dUVDRo0MNYJfvnll1i3bt0Ts4Wpke53ZcWKFVX0zc/PDzVr1lTef7xM7xtfX19Ymh9//FFFKBkZNDWdzqnUr19f/WSamJ3UScfRJKVN5SKwywOcuBGKa0EPUKKAm4VWKgiCkLM9ABdfWKwE4OHbhxFviDdeV8qzlBJ/bACpXqg67PJYzn1DyLmMHDkSPXr0UDZ7Dg4OxqaSF198UZXwsYQuo+QxmLpVpoFZs2apB3/++edVdIomiGxoYFfv33//jf79+yO7cf36dZVyZsNK8eI2YtAcFwucWw14V9MihI+KQ+Pj41UUlB6LjMTqkcLUGPDHbuy5FISPulTG8BbSmSYIgpBeeKpkA4je6EED6BbzWhh9ACsXqGzsAC6br6w07OXm83cWwYggA0EslTOFDaUs3aPLi8Uig/S50WFrM2flnjlzRnn7FSpUKMMLEZJw7zww71nAyQN4/5pRDDIKyuggW8tpt5MWMdi1uq8SgyuP3xQxKAiCkE6O3zmOD3Z8gLyOeTG321zjGLjBVQYb08BFPbJm6IIg6LAUjj0RScUghTDL6jJDumPXn3/+eSL16ebmpvLUrOXjdYKZuPVoCHWRKlSAyaaK9+3bl6a76ljNR2nJI9eCcSM40vxrFQRByCEw3csZwNx0fD18cTX0Ks4Hn1fG0Doj647Es1WeFSEoWARmXtknMW/ePCUAudGLmWnigQMHZuq+0x0ZpD/fiBEjlAg0hQKR140dOzZTCxIeEfioi9oncQMN0QtHkzPiTo4ieV1Q368A9vkHYfXxm3ixuUQHBUEQdJjqPRB4ABuubFA1gDSEbuDTAH91/EtdX8i1EH5v/7syhHZ3TGz0KwiW4vvvv1flB4MHD1bleoR9Ay+//HKmp5I4ZKRuIrlaiKNHjyaaVyyYKTLImsEk6JFBGlCyuzupC3lydKnmo8TgKhGDgiAIiImLwZ6be7Dh6gZsuroJwQ+DjdcxHezr7quihHrzR+OiKduVCYIlYG/GpEmTlI3fhQsXlBYrW7bsY8G5LBWDtJHhA3OjlYypIKQRdHh4uIoYCmYi8JEY9Kn+2FXFihVD0aJFERAQoIpJmzVr9sS761zdF58uP4VDV4NxMyQSvl4y4FwQhNxFVGwUdgbsVBHArde2IiwmYRRpPud8qvavXcl2aOTbCI72qTs1CIK1oPgz9+jfNIvBiRMnqqggzQ2ZDjY1OKRapb1MakbPQjoIvwOEB7LZW6sZTAZGB2n+zVRxWsSgt6cL6pXKjwNX7mP18VsY1qx0FixcEATB9rjz4A6+3ve1MoPmGDgdpn/Z/du+VHvU9a4rHoCCTcLG0Sd1p/N6PXWcEdL8zh8yZIj6Wbp0aTRt2tTocSNkAbdPaT9pKePskewhrBukGExrEwnpUt1XiUF2FYsYFAQhp8Imj5sRN9WoN+Lp7IkdN3YoIcj0ry4AaxWpJR6Ags3Dsb8psXv3bvz000/Kdi4zpFvRsX2ZY1A4cYRQkEyfPl3N9v30009VlFDIJN5VgaemAfFxKR6i1w2mtYlEF4NfrDyFg1fu4+q9ByhZUAyoBUHIWXAW8Ij1I1DCswSW9VpmnPc7tvFYZQZdtWBV8QAUshU9e/Z8bB+Hf7z//vtYvnw5Bg0alGk3l3R/Jfrf//6Hc+fOqcuXLl1Src7MXy9YsACjR4/O1GKER7gXAqr1BWr0S/EQGkySixcvqpGAacHHywVNyhZUl5ceuWGmxQqCIFiHwIhAzDk9B6v9Vxv36WLPPo99IhuYrmW6olqhaiIEhWxNQEAAhg8frgJyTAsfOXIEM2bMQKlSpSwrBikEa9WqpS5TALZs2RJz5sxR00cWLVqUqcUIaYcNPYzGkl27dqX5dr1qFVM/lxy5oWpABUEQshM3w29ixskZeHbVs2i3sB3G7xuPv0/+bbzew8kDa/quweKei43TQgQhuxMSEoL33nsP5cqVw8mTJ7Fx40YVFaxW7XHHEYuIQQoIPTfNKRhdunRRlzkO5u7du2ZZVK6GAm3PFOD8BiA2Ydh5crB2k+zcuTPNd9+pmg+cHexw8U6EmlcsCIJg6wSEBygBOGjlIHRY1AHfH/geR+8cVdfVLFwTXUp3SfTltohbESuuVhDMy7fffosyZcpgxYoVmDt3rgoANW/e3KyPkW4xyPTkuHHjMHPmTGzduhVdu3ZV+/39/eHt7W3WxeVKwm8Da94D5jwNGFKuGcyoGMzr4oj2VbS/0+LDkioWBMH2BWDHRR2VADx29xjyIA/qFKmD9xu8jw1PbcCsLrMwpOoQSf8KaebXX39VDiguLi5o2LBhqo2YMTExqh6Pfn48vmbNmlizZk2iY2iv9/HHH6sGW84P5rFffPFFoi8ovMyhHL6+vuqYdu3a4fz582laL2sDo6KiVFSQKeE+ffoku1m0gYQWMyxWXLJkCT766CO1OLJw4UI0adIkU4sR6IFwOqGT2NE1TWLwwIED6o3CN2pa6F27GFYcu4llRwPwYZdKcLCXbjpBEGyDWxG38PaWt3H87qMpTMpkKw/qeNdBh1Id0K5UO4n8CRmGo9zefvttTJkyRQlBapqOHTuqhowiRR5/X40ZMwazZs3C1KlT1UzgtWvXonfv3io6V7t2bXXMN998g8mTJyuhVrVqVXVOHjp0qLLge+ONN4zRPXb98hiKRopHPu6pU6eeeO7mxJGs/rKTx2CmwjGKEXt7ezUaJbtx/fp1lebmnL/ixYtbdzFMETMyWLErMHBOqofyT+fj44Pbt29jx44dRnH4JGLi4tHgyw24/yAGM4Y1QMsKhc20eEEQhPRxI/wGroddR0PfhsbRcG0XtMX9qPvK+6+DXwdlBF3YTT6nhMyfvykA6cbxyy+/qN9Z9laiRAm8/vrrKgKXFA54YODr1VdfNe7r27eviu5RJJJu3bqpzOhff/2V7DE8V/N+3nnnHbz77rvGGkDehv0WAwYMgLUxW0iIyjY7CkGbjQwW0fyxUoPfFDKSKna0t0P3mtpg9cWHrmd0pYIgCJli/6396LSoEz7c/qEa/UZo/Px9y++x8emNmN5pOgZWGihCUHgiYWFhCA0NNW4PHz587Jjo6GgcPHhQpWhNDZ3btWun/PqSg/eTNHJHkccAjA6zomzo0J1WOJ6X13fu3NlYRnfr1q1Ej8uoIYVpSo9raSQ/aGvcOav9LPxkMUgyIgZJnzraN6jVJ24hJDImvasUBEFIF4z+TTsxDfPPzjfuY/OHp5MnSnmVUpFAnfo+9UUACumC7hoUWPrG+b1JYZMr6/uS9jd4e3srsZYcTOVOmDBB1fcxirh+/Xr8999/uHnzpvEYRhQZ3WMamUExpo/feustVVJH9PtOz+NaGhkjYkswY3/7dLrEoF6nyfoFhqLTWldQs7gXKnrnxdnAMFU7+FyjzHkUCYIgJCcA111Zh3WX1+HkvZNqX8m8JfF0hafVZ5WTvRPWP7Uebo5igC9kDtbeFSumWacRZ2dns9zvpEmTlK8fhR7fs2wOYT3gtGnTjMfMnz8fs2fPVjZ7rBmk9x/FIFPD+vQ2W0fEoC3BecRRwQDHIxUqn6ab1KlTR73p+Y2H31wqVKiQptvxTd2/fgl8vuIU5u2/KmJQEASzcC3smhJ/FIGn7p1KSEPlsUN97/qqBjDOEAeHPNrpR4SgYA44Hc3T0zPVYwoVKqR6GwIDAxPtDwwMVPX3yVG4cGHVMMu+iHv37imBx0ggrV50Ro0aZYwOEhpCX7lyRUUnKQb1++bjsJvY9HF13+ZslyZmi/WDBw8e2x8ZGZnpcSi5HreCwEtbgKf/fmInsQ6FoD6abvv27el6OHYVO9nbKb/BEzcSnPoFQRDSw7XQa/jz+J/ot7wfuvzXBRMPTVRCkAKwoU9DfNzoY2x6ehP+7Pgn+lXsp+oCBcHScFxu3bp1VX2fDlO/GzduROPGjVO9LesGGXnk1A8O2DAdEUdNxNpDUyg6dU9mdg9TEJo+Lusa9+7d+8THtRTp/h/52WefYcSIEWoEnSl8MXgdfXSEDGLvCBStrW3pgFNgWKy6ZcsWvPDCC2m+XX53J3So6q1sZuYfuIZqxcStXxCEtBMUFaTmAJ8OOp04AuhTX9nAtC3ZFgVdtRGYgmAL0FaG0Tp6Jjdo0EBZy0RERKjUr27jQtGn1xxSsN24cUNF8Pjz008/VSLPdPxu9+7d8eWXX6JkyZIqTXz48GFVZzhs2DBjJo5pY3o0ly9f3mgtwyhjr169kC3FYEp1aeyeKVCggLnWJaSD1q1bqzfi5s2b01U3SAbUL6nEIA2oP+xSGS6O9lm6VkEQsvcs4IshF9GkqFarnN85P0KjQ40CsKNfRyUAC7jIuUCwTfr37487d+6owBWbNyjy1qxZY2zuuHr1aqIoH9PD9Bq8dOkSPDw81NQ1Dt3Ily+f8Ziff/5ZibtXXnlFWb1R5P3vf/9LFByjeKTofOmllxAcHIxmzZqpx02rP3BWk2afQc7CpcigNw7z8qaCg9054eHhKmJIZ+/shs34DO79XftZuTvgqVm/pAWm6PnGZNs8W9v5zSOtxMcb0OK7zbh+PxI/9q+J3rWt7LMoCIJNwrTvgBUD1Ozfrf22wpGZDADH7hxD8bzFRQAKufv8nc1Jc2SQoVTqRoY9mQ5m67ZpHp6jXWwl951t2TkJCL2hpYnTIQbpedSoUSNs27ZNRQfTIwbt7PKgX70SmLD+HObsvSpiUBAEZfOy4eoGlQ7rX6m/2lcxf0UUdi2MYnmL4W7kXfh6aIXwNQrXsPJqBUGwmBjU26OZ66a3nYODFACblegITQiSgtqIv/SminUxyDB0emBX8U8bz2P/5fs4FRCKKkVT78gSBCHnwXTvpqubsObyGuwJ2KM6fgu5FsJTFZ6CvZ292pb3Xi7dv4KQA0l3NzFz3qYdMTqc17d69WpzrSv3ce+i9tO1AOBWIENikOh1g+nB29MFHatpre8z91xO92MLgpA9iYiJwIpLK/D6xtfRal4rfLzzY+y8sVMJwUoFKmFQ5UGIiU8wpRchKAg5k3SH9+il8/XXXz+2nwKE1+njV4R0cu+89jON/oJJYZqYhaj0LTpz5gwqV66crts/38QPKx81krzfqTK83GS0oCDkRCJjI7Ht+jasvbxW/XwYlzC2q1y+cqoJpJNfJ/h5+Vl1nYIg2LAYpLExx74khe7cFy5cMNe6cm9kMAMpYt1vkNNINm3apKKD6RWD9UrlR2VfT5y+GapsZoa3SDDUFAQh+0PR9/GOj7Hl+hYlCHVKeZYyCsDy+TP2ZVQQhFyWJmbjCFusk0Ih6O7ubq515T7uns+UGEyaKk4v7A4f0libQjJzzxXExacv1SwIgm0RExeTaAKIs72zsoWhECzmUQzDqg3D/G7zsbzXcrxe+3URgoKQi0m3GKTrNs0TL168mEgIvvPOO+jRo4e515f70sSZEINt2rRRPxkdpN1PeulZqxg8XRxwNegBtp67neF1CIJgXW5F3EKr+a0wZPUQPIhJmBg1qv4ozOkyB6v7rMbIuiNRuWDldPmSCkJGYBkZx7MJOUgMfvvttyoCyLQwO4u5MSVZsGBBfP/991mzytzAs/8BL6wH/Jpl+C7ops7IbVBQEA4cOJDu27s62avOYjJ9pzSSCEJ2IN4Qj0OBh7D84nLjPm83b+Rzzgd3R3f4h/ob9zfybYTqhauLABQsIgA5jIKGzdQLFStWVCPYhBxSM0ixsWvXLqxfv179oelxV6NGDbRo0SJrVphbYAexW4NM3QXtftq3b4+FCxcqZ/OGDRum+z4GN/bDXzv8sf38XbGZEQQbPtGeCTqD1f6rsfryahUJ9HD0QAe/DiodTLH3R4c/4OPmoyxhBMGSAnDBggVqY4+BaV37oUOH0KpVK6uuUUieDJkF8oOmQ4cOSgDyDyzfMm2Hjh07KjFIq59PPvkk3bcvUcANnav7qs7iqdsv4cf+tbJknYIgpJ/LIZeVAFzlvwqXQxOi94wAtinZBuHR4XB2dVb7WBcoCJYSgPPnz1cC0LSRlPqADiNPP/00unXrpqaXCTlEDNKRnnNwp0yZomxMOP6sTJkyai4fp5C88MILWbPSnMyFDcCFjUCZ1kCFDpkWg/pwbaaLMzIv+n8tyigxuPxoAEZ1rIii+VwztSZBEDIOo360gaEANG0IcbJzQssSLdGldBc0L95cRQQFwVIC8MiRI8YIoKkApMWZqQDMmzevVdcqZJEYHDduHGbMmKFqB4cPH27cX61aNTWyTsRgBri4GdjzG/+HZVoMckYjrX9OnTqFDRs2oF+/fum+jxrF86FRmQLYcykI03b4Y0y3x62EBEHI2pPtwvMLsfLSSlUPaIDW3W+fxx6NijZSArBNiTZqTrAgWOo9efjwYaMANG0ipQDs0qWLEoBdu3YVAZgbxOA///yDP/74A23btsWIESOM+2vWrKnMjoXMeAyWNcvdderUSYlBpoozIgbJ/1qWVWJw7r6reL1teXi5igm1IGQl0XHRcLJ3UpdZerPi4gocun1I/V6nSB10Lt1Z1QQWcEl/tF8QMioAWeenC0BTWzkKQAo/XQB6eMgXk1wlBm/cuIFy5colmz6OiUkYWySkg6BLZheDEyZMUE0k/M+ckZrOVhUKo6J3XpwNDMPsvVfwSquMW94IgpC6CPxg+wfYGbATq/qsMoq9Z6s8i1YlWikzaF8PX2svU8hlApA1gKw/NxWAbBg1jQCKAMzFYpApyO3bt6NUKc2gWIdvmtq1a5tzbbmD+Hjg/qNC8PylzXKXzZs3V/9pAwICcOLECVSvXj3d90EBySkk7y44imk7LmNok9LKekYQhMwRGx+Li8EXUbFARfU7o4HXwq6pOcHbr29Hz3I91f72pdpbeaVCbhKABw8eNEYA/f0T7Ih4LjGNAMpwiZxJusXg2LFjMWTIEBUhZDTwv//+w9mzZ1X6eMWKFVmzypxM2E2As0HtHAAvzeMvszB8z2kkq1atUn+TjIhB0qNmUfy4/hxuBEeqdPGwZuYRq4KQKzsu7xxVTSBsBmHX79b+W401fzSDZkdw5QLpGyMpCJl5T9KPluKPwRxTAejm5mYUgIwEigDM+ThkZALJ8uXL8fnnn6s3CMVhnTp11D563Anp5P6j/4AUgvYZcvpJFk6DoRhcunQpPvjggwzdh5ODHV5tXQ4fLj6OKVsv4pmGJeHiKNFBQUjryfbc/XOaF6D/agREBBiv83L2woXgC6hVRLNuqu9T34orFXKbANRTwJcvX04kANn9SwHIbmARgLmLNKmPn376CS+99JKKOF29ehXNmjVTptOCGbj/aERPfj+z3m337t1Vgw8tZm7evAlf34zVHD1Vtzh+3XxBRQf/3XcVzzeV6KAgpMa10GsqAkgByFnAOq4Ormhbsq1qBGlctDEc7aQpS7CMANy/f78xApicAGSjIQUgfxdyJ3kMfKekYbIF68+KFCkCe3t7JS54Oadw/fp1Zcly7do1FC9e3LIPzpc/4g7A+aFmFoScQLJv3z78/vvvSsxnlFl7rmDMkhPw9nTG1lGtJTooCEm4F3kPay6vwapLq3Ds7jHjfgq+5sWao3OZzmhZvKUShIKQ1fC0zs9+XQCazgVmxM80ApjdBaBVz9+5LTJYtGhRLFq0SNUO8E3GFz8qKirZY0uWLGnuNeZs2OnrkTXCmqlifiAsW7YsU2Lw6XpadPBmSBTmH7imRtYJgpDA2F1jse36NnXZLo8dGvo0VBHAtqXawtNJpi4IljOC/vfff1Ua2DQCSAHIbBEFIN0msrsAFKwUGaSv4Ouvv47Y2NgUj9EtTOLi4pDdyKnfLPROYo4Eunv3bqZsAGbuvoyPl56Ej6cLtoxqJdFBIdey48YOLL+4HG/Vecto+bLi0grMPjUbXct0RafSnVDItZC1lynkEugpSwE4b948NRHMVAAyIKALQHYF50Ry6vnbJsUgCQsLU6HmGjVqqMkWBQsWTPY4mk9nN6z6Zlo0XIsMNn8HcDOvmSz/tPSEpE8UI7t9+vTJ8H09jI1D6++2ICAkCh92qYSXWpjHE1EQshtD1wzFgcADSgy+UF2buJRRP09ByAgc/0bxx+348ePG/azrZwp4wIABKpOXUwWgKSIGzUOa21c5XoYj56ZPn46mTZuqaJOQSSKDgePztcut3jf73fPkxO7vH3/8UXUVZ0YMOjvYY2T7Chi18Bh+3XwR/euVhJebFMALORf/EH81Do5WMNM7TTdG+/pV7Ify+cujabGmxmNFCApZDZs3mf5lFJCegDqOjo4q8kcByFSwjIITMkK6vUzoMRgcHIyZM2eq2YSjRo1CgQIFlGO5t7c3ihUrlqGF5GpbGffCgHPW/AfWxSDrBqOjo+HkpI27ygh96hTH1O2XcC4wHJO3XsT7nSuZda2CYG3uPLijuoBX+q/EqXunjPspCAdVHqQusxaQmyBkNbdu3VJNIBSAu3btMu5nIydHwlIA9urVC/nz57fqOoVcKAaPHTuGdu3awcvLSxWoDh8+XIlBmk/zmwvNp4U0EuRv1skjyUEbIB8fH/WhwvQ+UwcZxd4uD0Z3rIQX/zmA6Tv98XwTP/h4uZh1vYJgaWgAvfHqRhUF3HtrL+IN8Wq/fR57ZQHTrUw3tC7R2trLFHIJrO/m+ZQCcOvWrWq4gx59btGihRKAffv2ReHCha29VCE3i8GRI0fi+eefx7fffpsoHE2R8cwzz5h7fTkbfQxdgawTg/wG+dRTT+GXX35R9SWZEYOkbeUiqO+XH/sv38fEDefwdd8aZlurIFiKmLgY1QjCCOCWa1vwkFOAHlGjcA10Ld0VHf06oqBr8rXRgmBOQkJCsGTJEiUA+aXdtFmzUaNGSgCyEYTOHoJgE2KQ7uXsLk4K08OMPgkZSBNnYWSQ9O/fX4lBftg8fPgwU/We/HbK9HDfybuVzczQpqVR0UdqVITsw3/n/8OEgxMQ8jDEuM/P0091AlMElvA0z1hIQUiNiIgINbmLAnD16tWqjEeHU734uU0zaD8/sfISbFAMUkiEhoY+tp8t7RK2zmCaOAsjg6RJkyZKrHOe9Nq1a5XdQGaoW6oAOlb1xtqTgfh8xUnMeqGhFNALNsuF+xeQ1ykvvN291e/5nfMrIciGkE5+nVQauErBKvIeFrIc+vNS+FEAUghGRkYar6tSpYqKAFIEVqhQwarrFHIfdum9AYUE5xLHxMSo3/kBylrB9957T9UxCOkg7KZFIoN2dnYqxUDYjWYOPupSRc0u3nnhnhKFgmCLfL3va/Re1hvzzs4z7mtWrBl+b/87Njy1Ae81eA9VC1UVIShkGYz4rVy5EoMHD1aTu+jqwM9hCkFaf40ZM0bZw5w8eRIff/yxCEEhe4jBH374AeHh4epNzTdzy5Yt1Rua9YNffvll1qwyp/LaAeDd80BRbVh9VsJvm4QWM6bfRjNKyYJueKl5GXX5y1WnEBWT/czGhZzXCLL4/GLcikgoV6lZuCYc8jggNDohm+Fo74gmRZvA3k6M04WsgTV/rP1jgyUb+Oj9RwcO+vXSE48uHCy5Ykbtiy++ULZtgpAtTKeTsmPHDtVZTGHI+gZ2GGdXcoNpJf/MrD1hFJezKs0RxX0QHYs232/FrdAovNuhAl5rU94saxWEtBIbH4tdAbuw4uIKbL62GVFxUXi99ut4qYY2fpGNIZExkcjnks/aSxVyOOz63blzp2rUox3M7du3jddRELL+j1/K2RDCbI1gHnLD+dsmawZNLUu4CdkDpsEGDhyIb775Rtn/mEMMujk54IMulfDmv0eUEXXfusXh65XzHe8F63+xOR10Wo2EW+W/CkFRQYkaQUxHwTnbO6tNELLqvbh//37jNBDWZetwShedHCgAaQlDZwdByBGRQX7z+fvvv5UHEj0GKTBKly6t3vDPPfdctq27sco3i3PrgMP/AGXbAPWGWeQhT58+rYqUHRwcEBAQYJaGH759np6yGweu3Efnaj6Y/Gxds6xVEJLC9C9nADMKeDHkonF/AZcCqhGke9nuqFpQ6v+ErIWfecyK6fOA/f0fNQIC8PT0VDWBFIA0heZ0ECFrkcighSOD/A/A5pFVq1ap+cPVq1fXvqGfPq18BykQaV0ipJGAw8Dp5QDTVxYSg5UrV0b9+vXVN9k5c+bgzTffzPR98sT7Ra9q6P7zDqw+cQvrTt5Ch6o+ZlmvIETERGDd5XVKBO6/tR8GaN9dneyc0Lpka3Qv0x1NijWBo52cdIWs5cyZM0YByMs67u7u6tzITuCOHTvKqFYhZ4tBRgS3bduGjRs3onXrxG78mzZtUiNxmH5kx5SQBkKuaj/zlbTow3KcIMXgjBkzzCIGSWVfTwxvUQaTt1zE2KUn0bhsQeR1kZOzkHlO3D2BsbvGGn+v511PRQDbl2qv7GIEISu5dOmSMQV89OhR434Kvq5duyoByJ9ubm5WXacgZJY0V7HOnTsXH3744WNCkLRp0wbvv/8+Zs+eDXMyfvx4FclipzK7lyk4z549+5hv06uvvqrqMzw8PFQtXGBgNrA6CbaOGOSHF1MXhw8fVnYG5uLNtuVRqqCbaib5Yd05s92vkHu4HHIZ3+z7BlOOTjHuq+9TH418G+GN2m9gbd+1mN5pOvqU7yNCUMjStOOECRPQoEEDlC1bVp33KAT5uUnhx65gNocsWrRIWXaJEBRylRhkjUSnTp1SvL5z586JvjmZA85lpNDbs2cP1q9fr7wNO3TooJzbTcfj0byT3Vs8nrVwrNmweYKvaT+9LDvtgKK5e/fu6jKjg+bCxdEeX/aqrt3v7ss4fPW+2e5byLmYlixfCb2CWadnYe6ZuapLmNjlscPUDlMxvMZwFPWQUVxC1sAAwq+//ormzZur+rN33nlHZVDY9UunjD///FNN2FqxYgWeffZZVRsoCLmygcTJyQlXrlyBr69vstdThLGZhOPOsoo7d+6oCCFFH7uzOM+RTRCsf2MTC2EtB2vjdu/erVr4bbIAlYPHxxUB4mOAt45bPDq4bNky9OzZE97e3uo5m7PI+e15R/Df4Ruo4O2BZa81UyJREJL6Aa6/sh7LLy1HrcK18EadN9T+mPgYfLH7C7Qt2VYZQ4sPoJCVBAUFqVp31gFu3rxZNUjqUBQyi8JMEz8nBdtFGkgsXDMYFxenulBTgm3zpsO1swKKP1KgQAH18+DBgypaaOpxWKlSJZQsWTJVMUjBaipaaQRqUcJvaUIwjz2Q1/LRDkZx6XvFb7o0odaFtDkY060Ktp2/g3OB4fhx/Tl80KWy2e5byL5Q6O0O2K3sYOgHSP8/ciPshvIFZCMSm0A+b/q5tZcq5GA4SpWfeRSA69atS3TOYlqYApCpXxEVQm4jXd3E7BpOqVMqKyOChN/a3nrrLTRt2tTo1k4xw4hlvnyJDWX5TY7XpVaL+Nlnn8FqhN8G6H3mUQSwz7DVY4ZhJPCFF15QE2OmTJliVjFYwN0J4/vUwPB/DuCP7ZfQroo36vtp4l3IXfAz49S9UyoCuNp/dSI/wDJeZVQjSNfSXcUKRshSWFbEcXAUgHTDMD1X1apVS9nA0BC6TBltopIg5EYc0tOF+iSyspOYtYMnTpxQk08yywcffIC3337b+DuNQum/ZzE4fm5MIBAVDGvBMUlfffWV6g7nSCRzzsNsX8UbT9UtjoUHr+Od+Uex+s3mcHe2vOgVrMPN8JvKCoYi0D/EP5EfYJfSXdCtbDdUKVBFRKCQZVDwrVmzRglAlsU8ePAgUfaIEUCKQF4WBCEdYnD69OmwFq+99poq3KW1jWn4nqlODgEPDg5OFB1kMTCvSwlGN00jnEwdWByeCF3zw1qUKlVKdcbxdf3999/VzGlzMrZ7Fey+eA9Xgx7gy1Wn8VVvrblEyLmEPAzByC0jlR+gDqd/tCnRRgnAxkUbix+gkGWwZIjzgGkDs3jx4kSf64z6UfxRBNIjV76ICEJiHGw9zfT666+r/9hbtmxRDSqm1K1bV6U8Gd3Sx6vReobzdxs3bmylVWcfRowYocQgPSTHjRsHV1fzjZLzdHHEd0/VwDN/7sWcvVfRskJhdBQz6hxFXHwcroRdUSlf4unkiTsP7hgtYWgITT9ADycPK69UyKmwlp0NhRSAtHq5d++e8ToGDigAudWrV08EoCBkVzHI1DA7hVnwS69BvQ7Qy8tLCRf+ZO0bU75sKmG7P8UjhWBaO4mtwur3gdDrQNO3gOL1rLYMWgWx2YbimdY85k7zNylXCC82K40/d/hj9MJjqFbMC8XyyezinMCN8BsYvHowHsQ8wOZ+m+Hi4KJOtmwA8XHzga9H8q4DgmCO+nE2CFIA8nPLtD6cbhOs/6MAbNKkibKGEQThydj0/5TJkyerDuJWrVopSxt944eAzo8//ohu3bqpyCDtZpgepl2ATXNxkzaKLjrcqstgB/hLL72kLv/000+JPN/MxehOlVCzuBdCImPwxtzDiIlLsG8QslcK+PDtw8bffd194ZDHQfkAms4Jrl2ktghBwezws+nAgQMYNWoU/Pz80KxZM/z8889KCDIQwBpoZohoccb9vF6EoCCkA/oM5nauXbtGFaR+Zjnx8QbDOB+D4RNPg+HuBYO1uX37tsHFxUU9/61bt2bJY1y9F2Go9skaQ6n3Vhi+Xn06Sx5DMD8xcTGGrde2Gt7e/Lah9j+1Dc3nNjdEx0Ybr79w/4LhYexDq65RyLnEx8cbjh07Zvjoo48MZcuWVZ9R+pY3b17D4MGDDatWrTJERye8J4XcR0bO37/88ouhVKlSBmdnZ0ODBg0Me/fuTfFYvr8+++wzQ5kyZdTxNWrUMKxevTrRMbwv0/envr3yyivGY1q2bPnY9f/73/8MtoJNp4lzJJH3gZhHnW1e1veyomk3O8X1JhJGV81NiQJu+KZvDbwy+5CaX9ygdAG0rljE7I8jmIezQWex7OIyrLy0EveiEmqwirgVQeCDQBTPq71vy+Yra8VVCjkVuhuwC5gZoFOnThn3c+wbpyexCYQlLi4uLlZdp5A94fuKpWW0VWvYsCEmTpyIjh07qn4DlhkkZcyYMZg1axamTp2qus/Xrl2L3r17Y9euXahdu7Y6htNqWL+qQ+eT9u3bK89KUxjB/vzzBC9VWxplmOYJJDkZizqY3zoOTGkGuBcGRl2ALaBPbWHNFy+b02bGlI+XnMDMPVfg6eKgppP4FXLPkscR0s+9yHtY5b9KicAzQWcS2cF0LdMVPcv2RMUCFa26RiHncvnyZXWS5sa56Tr0ke3SpYsSgCwHcneXzwwhc+dvCsD69evjl19+MdaglihRQvUbvP/++48dX7RoUXz00Ueqh0GHZWnsW6BITA56IrM58/z588bGJZa70deS4tMWkcigpQkN0H562s6cVX7b4Qct37x8o/72229Z8jhjulXGiYAQHL4ajJdmHsB/rzSFh/gPWo3ouGhsu74NSy8uxY7rOxBr0KYx0P6lVYlW6FG2B5oWayp2MEKWQH9XNoAwCrh3717jfk66YlSFApBjM9koKAhPgpPETO2EklrIEVrRcXIZvYZ19PnTu3fvTtGzMmkUmkIwJc9jPgZFIqOPSTvYZ8+era5jbwOj3B9//LHNRAflTGxpQm9oPz2LwZbgG1e3mfniiy9QsGBBsz+Gs4M9pjxbF91/3qHG1b0z/wgmD6oLOzuxfLAGr2x4BXtvJZyEqxWshh7leqCzX2fkc0k81UcQzMHt27eVBQwF4Pbt241NazwhM3JCAdinT58s+fwRcjZJB0d88skn+PTTTxPtu3v3rkrnJp037e3trbJiycEU8oQJE1QJVdmyZVWjEptUTdPCpixZskR5H3NimynPPPOM8vdlpPHYsWN47733VGraVhpeRQxamugIbRSdDUUGCT+I69Spg0OHDmHSpEmJ6hrMibenC6Y8VxcDft+DtScD8cvmC3ijbfkseSwhgdsPbqsawKcrPG30/WP0jxNCaAjNKKDUAApZwf3795VXLAXgpk2bEp1E2fVLGxiOxExtUIAgPAnWlxYrlhBkSWl0bnqZNGmSqvVjBo2RPgrCoUOHYtq0acke/9dff6Fz585K9JmiO3cQGp/TGaVt27a4ePGiuk9rI2LQ0jR5HWj8GhCbtbOc0wvf5B9++KH6UKbNDCOFSWc+m4s6JfNjXK9qGL3oGCasP4cyhd3RrYZtieOcxv/W/w8Xgi8gn3M+9C7fW+17uuLTGFhpIOzt7K29PCEHpuw4Bo4CkAX3nA6iw3otfR4wa7UEwRzQi5hew6lRqFAhZanGKWWmBKYytYxNloz2RUVFKVNzijzWFiY3y/rKlStqCk5aon2sXSQXLlywCTEoRkzWgHUEjrbXCccOqapVqypvR3p1ZSX96pfAsKbaRJm35x3FPv+gLH283ALTbvQDHLdnHCJjI437u5XppjwAC7oWTDQqToSgYC44/3fhwoXqCyW7Mp999llVekIhWKNGDXz55ZfqxLdv3z688847IgQFi8OGJE4uY6pXhw0kGzdufOLUMtYNMvIYGxurSh1Yz5rc2F6+9znq9UkcOXJE/WSE0BaQbmJLdxPbOPwmP3DgQOTPn191+D3pm1ZmiIs34JXZB1W62MvVEf+90gRlC8vosowQEB6A5ReXY/ml5bgSekXt+7r516oTmPC/uYzjEswNi+vXrVunPjc4KSoiIsJ4XcWKFVUNIKOAdCsQBFs4f7NjXbdTa9CggWqanD9/vqoZZO0gJ3FR9I0fP14dz+YmNjuxE5g/WYfo7++vSqpMs2cUlRyZy/Pn119/negxmQrmNDV2xrMeljWDI0eOVOvlOEVbQNLEloS6+++ugFsBoNskwN32iqTpi8Q3Owtbf/3110RdV+bG3i4PJvavjWf+3KM6jJ+fvg//vdwUhfOap9Yjp8NRcOuvrFd2MPtu7TPud3VwVTOBS3slzPIWISiYC0b6WPvHkyrTYcwk6HA6iC4Aa9asKe87webge/POnTsYO3asmmBDkbdmzRpjUwnHs5pOr2F6mF6Dly5dgoeHhxJ0M2fOfKyMiulh3nbYsGHJRiR5PYUnvzBRvNKehvdrK0hk0JKRwchg4JtS2uUPAwAn2/TM4hud3474DYb/AbIyOkjuhT9En8m7cOXeA1Tx9cTclxqpSKHwOPGGeBy4dUDZwVAImqaCG/g0QM9yPdGuZDu4OdqGXYGQM2DTB7t/KQCZCmZXpg5rqHiC5cZIiwhAwZJIZs88SGTQGh6DtO2wUSFIGOYeN26cmgTw/fffZ1lnsU5BD2f8PbQBnp6yC6duhmLo9H2Y+UJDuIsHoZHrYdex+MJirLi4AgERj95HAErmLak6gbuX7Y6iHtKEI5gPxgn27NmjBCDTaDdv3kxUVM8sAgWgzAEWhOyPnG2tIQZtYAxdatD0lfUSDGNzRN0rr7yS5bYPpQu5KwE44I89OHQ1GMP/OYBpz9eHi6M0OJC9N/fij2N/qMsejh7o6NdRRQFrFa4lkRjBvA1Ihw+rGkAKQHZH6jAtxs8EpoFpRcXPCUEQcgbyv9mShNne9JHUOovZ+s7iWUYGs2oqiSmVfT0xY1gDDJq6B7su3lOzjGlS7eSQu6IOR24fwZzTc1DPpx76Veyn9nXw64At17agS5kuaF2iNVwcbK8bXci+nDx50jgPmCO0dFgj1atXLyUAORWEtU+CIOQ8ctdZ1trY4Ci6lGC06ZtvvlGXOaDb9ASRldQqkQ9/PV8fzg522HTmNl6edRBRMck7veckTEt3T947idWXV2PhuYXGfXmd8uLntj+jc+nOIgQFs8D/0ywHoQFutWrV1GXu46gtpoBpn8GJIawhplWGCEFByLlIZNCS2OgoupRo2bKlOgmsXLlSdRWzcNwSNCpTEFMH11Op4o1nbquffzxXD65OOStlHBwVjFX+q1Q38FMVnlIb6VK6i7KH6Vn2cR8rQcgMTPsy/csIIGe06lDoderUSUUAOTOVEUFBEHIPIgYtSXycTY6iSw36Ja1evVpFCWjMyfE5lqBFhcKqqeSFGfux/fxdZTvDGsLs3lQSEx+DHdd3qG7grde3IjY+Vu13ueRiFIP5XfLjw4YfWnmlQk6BjR8LFixQAnDXrl3G/ZzEwNQvm0CYCs6qiUOCINg+Yi1j6dZ0vtxKFGYfUfPGG2+oiSQcBE7XdEdHy9m+HLwShOen7UfYw1jUKZlPCcJ8btkvXXUm6AyWXliqIoFBUQnTVioXqKy6gVkLWMClgFXXKOQcaP3CL3CsA6Sprf4xz/IPRvwZAWQzCMdzCUJ2RqxlzIOIQXkzpWnQfIUKFdQJZsKECco53ZIcux6M5/7ah5DIGJQt7K4ihiUK2L6P3t3Iu1h5aaVKA5+7f864v6BLQTUerke5HqiQv4JV1yjkHIKDg7F48WIVAaTBLb0BdThqiwKQo+LoCygIOQU5f5sHEYPyZkoTf/75J4YPH64MqDmdJKutZpJyLjAMz0/bh4CQKDWhZPrz9VGtmBdskVsRt/DFni+w88ZOxBm0E7KjnaPqAqYdTJOiTeBgl30iw4LtEhYWhmXLlqkI4Nq1a9V0EB3OYGUKuF+/fihV6pHZvSDkMOT8bR5EDFrqzXT/MrBwGFCgDND3T2Q3OHexUaNG2L9/vzKl5pxFS3MrJErVDp65FQZ3J3tMfrauqi20NvwvxNRvQVdtvGBUbBRaz2+N8Jhw1ChcQzWC0BfQy9k2xauQveA4KzZ1MQK4atUqNS5Lh13B+jSQ8uXLW3WdgmAJRAyaBxGDlnozXd4J/N1FE4NvHEZ25MCBA8p7kMJw+fLl6Natm8XXEBoVgxEzDyofQs42HtO1Mp5v4mc142Wmf9/d+q4ShMt6LTOuY8OVDSibr2yi+cCCkFEo+NjIRQHI/3sPHjwwXlexYkWjAGRdryDkJkQMmgfJVVmK8FvaTw/LplfNSb169fDOO+/gu+++w4gRI5RRrZeXZaNdni6Oqmbw/f+O4b9DN/DZ8lM4FRCKcb2rwdkh661nOAuYaWBd5BV1L4qb4dqYruvh11Eibwl1uV2pdlm+FiFnEx0djXXr1ikBuHTpUpUS1ilTpoxRANaoUUOm0AiCkClEDFqKsEDtZ15vZGc+/fRTVaR+4cIFjB49Gr///rvF18CJJD88XRNVfD3x1arTWHDwOi7cCcfvz9ZFEU/zGzIz6nfo9iHVCLL28lol+BZ0X6Cu83DywG/tflNdwbwsCJmBNX+bNm1SApD/z9gUosPoB+v/2AjCekARgIIgmAsRg5YiB0QGiZubm2om4WzSP/74Q00qaNfO8lEwnghfbF4GFX3y4rU5h3H4ajC6/rwDk/rXQpNy5rHLuB52HcsvLlcikFE/nbDoMGUYnc9F82Wr71PfLI8n5E7Y9Uv7FwpA2sHcu3fPeJ2vr6/6P8YIIGt27exkaJQgCOZHxKClyCGRQUKfspdffhmTJ0/GkCFDcOzYMRQsqDVPWJrm5Qtj6atN8dLMAzgXGI5Bf+3FG23K44225VVNYXqJiInAusvrlAA8EHjAuN/NwU3NB2YzSB3vOrDLIydlIeOw7pYG0OwC5mSfwMBHnw8AChcurCxgKACbNWumzKEFQRCyEhGDliKHRAZ1WDfIdBZtZl588UX8999/Vktb+RVyx9JXm+Gz5Sfx7/5rmLTxPPb638OkAbXhnYa0cVx8HPbe2qsE4MYrGxEVp3Vn5kEeNPRtqEyh25ZsCzdH2/c2FGwXlhvs27dPRQA5Eu7GjUfjKTl1Jn9+9OnTR6WAGXV3cJCPZkEQLId84lgK+so5uOSIyCBxd3fH3LlzVXfxkiVLMHXqVLz00ktWWw/nFn/dtwYaly2ID/87jj2XgtBp4jaM61UdXWv4pnqCHrhyIE4HnTbu8/P0UwKwe9nu8HHPGeJdsA58fx0+fNgoAC9fvmy8jp6dHAPHCCBLLTgfWBAEwRqItYwlW9P5UnPLQXU/P/zwA9599124uroqD8KqVatae0m4dCdc1RGeuhmqfu9esyg+71EV+d2dEPIwBBuvbkSvcr2Mqd5v9n2jooKdS3dWIrB6oepSnC9kGH6kcmwj5wFzY7OV6ZeoHj16KAHYsWNHuLiYv+FJEHITYi1jHkQMypsp07VPnTt3VhYYNLmlILS03UxyRMfG4+dN5/HblouIizeoqSVf9qqCL08MVAbRf3b4U6WACQWiq4MrnOwlMiNkouP80CEl/lgDePHiReN1FHxdu3ZVKeAuXbqoJixBEMyDnL/Ng6SJhUzB7sZZs2YpD8Lz589j8ODByhLD2l2PjvZ50KVuPMJczmL7gdq4eDsCL808jPJVa6Cs1w3Exscaj5XJIEJGBeDBgweNAvDSpUuJBCCFHzuBKQTz5s1r1bUKgiCkhohBS3DzKLD8LcCnOtDjJ+Q02P1ISwx2PnJO6ldffYUxY8ZYZS13I+9i5aWVWHpxKc7fP6/2/TVgBjYc8caf2y/h/Kl28HBywbnCRdHI15ChjmMhdwtARr91AWhaA8hSCQo/CkAKQQ8P8Z0UBCF7IGLQEgRfBQIOATnYjoSRQVrNDBs2DGPHjlVjsdgdaQkexj3E5mubsezCMuwK2IU4Q5za72jniNYlWsPLxR0fdqmIHjWLYsySEzhyLVhNLll06Do+71kNdUrmt8g6hezdBawLwCtXrhivY8rXVACyJlAQBCG7IWLQEoQ9spXJm7M7U4cOHarSZr/++isGDRqEzZs3K6PcrDpBH71zVDV+rLm8RhlB69QoXEP5AXb065goBVytmBf+e7kJ5u6/im9Wn8GJG6Ho89sudKvhi/c6VUKJAlLLJSS8v/bu3WsUgFevXjVeR8HHudz0ApQaQEEQcgIiBi1B+CNDWY+cYSuTGhMnTlSps5UrV6J79+7Ys2cPypYta7b75xzg5ZeWq8kgl0MTUnS0gOlepruyg9HnBieHnV0eDGpYCh2q+ODbNWew8NB1rDh2E+tOBmJoUz+80rocvFwdzbZeIXs1Q/H9SgHIsgcWpJsKQL6fGQHs1KmTCEBBEHIUIgYtQS6JDBKa5XKqAqeUsLuSncbbt2+Ht7d5hPCCcwsw9fhUdZkdwO1KtkOPcj3QwKdBuqaCsLv4u6dr4vmmfmq+8c4L9/D7tkuYf+Aa/teyLAY3LgU3J/nvkdOJjY3Ftm3blGk6G58CAgKM17HmjzYwjABSALImUBAEISciZztLkIsig/pJdMWKFSpFzA7j9u3bq5RxekfWHQw8iEXnFqFrma5oWqyp2kcfwCN3jqif7Uu1h7tj5mq0qhb1wqwXGmLz2dv4atUZXLgdjq9Xn8HUbZcwomVZPNuolDK0FnIOUVFRWL9+vRKAbHgKCgoyXseuXwpARgDFB1AQhNyCiEFLkIsigzq+vr7YsGEDWrRogePHj6sTK3/Ply/fE2u1dMNnmkMzJczxcLoY9PPyw7SO08y6Vj5em0reaFG+MJYcCVD+hFfuPcCXq06raOGIlmUwoEFJeDjLf5fsSmhoKFatWqWif/wZHh5uvK5QoULo2bOnanhq27YtnJ2drbpWQRAESyNnN0vAMXQOrrkmMqhDE+qNGzeqlDEbS1hsv3r16sdMqW9F3MIq/1VYcWkF3q33LpoUbaL2swkkOi5a1QFaAgd7OzxVtzh61SqK/w7fUKLwWlAkxq08reYds9aQdYVpmXcsWJ+7d++qyB8jgIwERkdHG6+jOS3FX+/evZUlkswCFgQhNyMTSCzlYK6/zLlwzBlHc7Vu3RrBwcGoU6cO1qxZA7d8blh/ZT1WXFyBfbf2wQDt9WH698tmX8IWiImLx+JDNzBl20VcuhNhNLPuWasYXmhWGpV9Pa29RCEJ/D/MWdkUgKwFZFOIToUKFZQA5EYrJBk5KAjZH5lAYh5EDMqbySIcPnxYpYrv3LmDAiULoPjbxRGfL+FEXde7LrqV6YYOfh3g6WRbIis+3oBNZ27jj22XsO9yQn1ZvVL5MahRSXSu5gsXR6krtAb8+Dp58qSKAC5dulT5AZpSu3ZtowCsXLmyCEBByGHI+ds8iBiUN1OWwrfXqXunVO3fop2LcHTcUcQExcCxoCOafNwEz7R+RjWIFPMohuzA4av38ed2f6w5eUvNPCb53RzxdL0SeKZBSfgVEtPhrCYmJkZ1qFMAcvP39zdeR7HXtGlTJf569eqF0qVTthkSBCH7I+dv8yBiMKvfTNf2A6tHA8XqAF1/QG7iyO0j+Hjnx4n8AN3C3XDp20u4e/Wu6tycN2+esp/JbgSGRmHe/muYu+8qboZEJYoW9q5TDN2qF4WXm/gVmguWGLC8gOKPDSAhISHG69jx265dO+UDyE5gH5/c06glCLkdEYPmQaqms5qQR6PoHHO+SS3nAodGh6KMVxmjEfSV0CtwsXdB65KtVRq4cdHGCOkfgr59+6qaLk5ymDBhAt54441slcJjE8kbbcvjlVZlsfnsHczeewXbzt3BgSv31fbZslNoU6mIEoatKhaGs4OkkdMLzcv16N/WrVuVJ6DpPGy+d9gFTCEoY+AEQRAyjojBrCb8jvbTvRByMpwIMmbnGDT2bYwp7acYxeAvbX9BnSJ14OHkkcjKg92dL7/8MqZNm4a33noLBw4cULON6VGYnWAHcvsq3mpjtHDpkRv479ANnLkVplLJ3PI6O6BN5SLoXM0HLSsUEd/CFIiLi1Mj4Bj5owCkJZEprPlj5I9bw4YNYW8vr6MgCII5EDGY1UQ8EoMeRZBTiIqNwtbrW+Ht5o1aRWoZ5wHHG+IREROB2PhYONhpb60WxVskex9OTk74888/UbVqVYwePRqzZs1SgnD+/PmoXr06siOMFr7UoqzaTt8MxeLDN5Q4DAx9iKVHAtTm4miHVhWKoHN1CsPCyOfmhNwMG4qY/qXl0Nq1axMZQNvZ2aF58+ZK/DEFTKsiQRAEwfxIzWBW1xz8v707AY+qPPcA/iaTlewJWYGErYBsYY0CVpZgwO2BUity1YZF27J5xQVblcWrlqKPilAsXi4FhUohUsBaRQSCCoWARKgBjBAQAtlIyJ6QZTL3+X+TM8wkg0DIZDKZ/8/n86xz5oQzZ8473/rxkyKp74uMflFk5HxxVDV1NXIw66DqD3DP+T1SUVsh8dHxsmz0MotxgyN9I2/62GgMMGXKFLl48aKq//Xmm2/K7373OxUMODq0RP42s0h2pGXLZ2k5cqGw0rTN1UVkQKdAGdUzTAWG/ToEqLGT2zJ09YKgH8EfcgAPHz6sGhlp0Cl5QkKC3HfffSrd7Kg1RORcWGeweTBn0NbK8x22mBg5fam5qfLZ2c9k57mdUlRVZNoW5RMlPYJ6WOzflEAQkPuDrmd+/etfq1yi2bNny0cffSRr1qxx+NagCO4GxwSp9MK9t8nxrBLZkZYjX5zIlfTcUkk9X6TSW1/8ICE+HnJXj1AZ3i1E7ugaIh2DvB2qHuW1ILdv586dKvjD9UVuoLkBAwaoDsnRkAhDGLIDaCKilsWcQVv/svi/u0UuHBKZvEHktpYZSeNW6Ov0kpqXqjqE3nVul1yqvPrgDvYKlnGdx8m9Xe6V2NDYZg9UkGv05z//Wf7whz9IRUWFahTwxz/+UWbNmtUmA4SsokrV6GRv+iXZdzpfyqquNpCADoHecnuXYBUY3t41WKKD2zlEcFhVVSUHDhxQ9UKRMPqMeefPaEWO3D8EgOPHj5eoqCi7ni8ROS7mDDYPBoO2/jCtu18k61uRR7eIRN8hrVVeRZ7873/+VwWABVcKTOv93P1kTPQYFQDGRcaZ6gLaUkZGhkyfPl21NgbUIVy+fLmMGjVK2iqMdpJ6rlC+OnVJDp65LMcyi6S2vh9DTbi/pwzsFCQDogNV8XL/jgHSzsP+QTK+QtLS0kzBH64bgnlzffv2NeX+oR9Ad3d2u0NEt47BYPNgMNiSw9G1olwdNPIoqCyQcB/jeMnFVcUyatMoqTXUip+Hn4zpNEaNBnJH5B3ioWv5Rg7ISXrvvffkpZdeMjUqeOihh+S1116T7t27S1tXUV0rR84VSsqZy3LwTIEcu1AkNXrLWxXVC3uE+8nA6ECJ7RiohsfrGeHXIqOhoH7nrl27VPCHaW5ursX28PBw1eXL3XffLfHx8fySJiKbYDDYPBgMOuGH6VD2IXn2y2cl2j9aNty7wbT+g+MfSJeALioAdNe1jpybgoICWbBggQoMESCiO5GpU6eqdTExMeIsKqv18p8LRXI005i+PV8kOSVXO7s2DxC7hvqqwPC2SD/pHemvUqif5y0VMaPPP/T1p6UzZ85YbPf29paRI0eq4A8JOYGOUKRNRI7N2Z7ftsJgsI1/mJDj99WFryTIK0ju7HCnqUh4bNJYCfQMlE8nfWrRB2BrdfToUXnhhRdUK1RAMWNiYqI8/fTTqv85Z5RTfEWOZhaq1srHL5bIiewSuVxebXXfAG936RbqI91CfaVbmK9xGuqj6iGir0Rz+EpAsGce/J07d85iH7T0Hjx4sCn4GzZsmHh6etr07yUicqbnd0tiMGjLD1NOmsjHc0TC+ohMXCkt5WLZRUk+nyzJmclyJPeI6A16ldu3OmG1aZ/vLn0nvUJ6ibtr68gBvFH//ve/ZeHChbJ7927TOtRDmzdvniqObAvd0TQVbuW80ioVFKKfwxNZxunZ/HJpUP3QxF3nIp0C3MW3NFOqs9Ol4Eya/HjiW8nPzbbYDzmyQ4cOVbl/SKj35+/v3zJ/GBHRNTAYbB72r33elpVcNDYesXG8XaOvkaOXjsq+i/vk64tfy6nCUxbbuwd2V6OAmOsX6pgdOw8fPlzVUUPfhBjGbvv27Sq3EKlr166qCBk5htHR0eJsUCyLjq+RRve82sn5lRq9CggzLpVJRl65HPs+Q46mHlZBX0XmSTmde1pEb9mSWVzdxDOyhwR1i5Uu/YZKv8Fx0jk8WCICvET8vSSjSC8RhkoJ9fVslLNIRESOhTmDtvxlkbremDPY/W6RRz9q9ty//Rf3qwAwJTtFdQKtcXVxVcHf6E6jVerk30naqtOnT6uWxmvXrpWysjJTUDR69Gg1/vHEiROdtusS3NpZWVmSmppqSujmBY0/GvILDJYOPfqLf0xvcQnvIWX+naVMf/3fiqijiPqIEQHeEuHvKRH+XtLe11NCVPKQ9r4eEuJjnPf1dGM9QiJqVswZbB4MBm35Yfr6LZHdL4sMeERk4ru33P+fztXYSvRwzmGZ/vl0i+3oA3BE1AgZ0WGEmgZ6BYozKS8vly1btsi6deskOTnZYhvGscWQZmjdOmjQoDbZZ2F1dbWcOnVKjh8/LseOHTMFf3l5eY32RVF6//79VT0/LXXr1q1RoFZcUSOZhRWSeblCTbOLr6jxl9UUqbRK9Ncqf7bCw81V2vt4mALFYB8PVZcRKRDTdsb5AO+r65HwOiKi5np+r1y5Ut544w3JycmR2NhYWbFihcTFxVndt6amRpYsWSLvv/+++iHds2dPWbp0qeojVdO5c+dG9aoBfeTiveDKlSvyzDPPyN///nfVF+u4cePk3XffVT0vtAZtJhi8mYvbYsHgjhdEDq4UGfHfInf/T5MO8emZT+W9/7ynGn88N/Q509jAIzeNlF7BvdR6BICYR44giZw9e1aSkpJk69atcvDgQYttAQEBpnpvqAM3cOBA8fVt/Q1oNOi/D407Tp48qQI/pBMnTsgPP/wgtbUNinrr6/r17t1bBcFawogfzfE3IxAsKKtSrZq1QBGNWtCIJb+sWgrKq6SgDPNVUlGtb/L7tPPQmQJDH083lXw9deLjoc2brfO0vs7LTSfeHjrxdHNl7iRRG3Kzz+9Nmzap0a5WrVqlMgqWLVumnhfp6ekSFna1eo3m+eeflw0bNsjq1aulV69eagx1NFxE/XU8PwCjKun1V7/j0O8qGtYhY0LrH3fmzJnyr3/9S2VY4Dk0Z84c9cN8//790hq0iWDwZi9uiwWDW54Q+W6zSMKrIsPnWt0F//y5Fblyuui0pOWnqfR4v8dlQNgAtR1Dwc3/ar7cFnybbH5gs+l1CAi93Lya71zbKBSTol4hhkPbu3evFBVdHVIPcDOiNTKCJEzxqw83PHLK7NE6FsFedna2Om9054LAD51wY4qEbdeCkT0Q+KGTbrT0xd+EeXT70hr6TURgWFBerQJIzF+uqJbiyhopqqiRksoa43ylcR1yJUuram1S3dbL3VX1xejtrlNTY3I1LWPqabaMbR46nbi7uYiHzlXlVGLqXj9vnGKbTjXI0dZ51k/d6/fXXuumcxE3VxcGpUTN4Gaf34gRkBGA0a4AXZZ16tRJ5s6dK7///e8b7Y9qRi+++KIaJlWDKkj4XkWQaM1TTz0ln3zyiSqtwX1eXFwsoaGh8uGHH8qDDz6o9vn+++/VMwejNWEYTntrE+VlaEjwxBNPyLRp09QygkJE4H/961+tXtwWU35JsnU6KXM1yJVL30lhVaHq1gXBX3ZZtpwtPisZxRlSXlNu8bJB4YNMweCwyGGybPQyGRw22GIfBoI3BjcyfpEh4ZcbxkBGS2TcgN98843K9tdy2BoGiZGRkdKhQwd1DEyxHBgYqFrR4pcdEnLY0M0NcuBQ/IyE16LYFkUB5qm0tFQKCwtVQGo+RW42gj+khsGqNXhfBKx9+vRRCQEgpvgibK0BBkZKaRfsJp2C291UzmPpFWOQiFRSWauG7CuvMk61eeOy3jhfbb5er+YRiJp32H2lpk6lIqkRe0J9SzdXV9G5GoNDXX2QaFw2W6+t02HqaraP+bR+PfZxcVHHdnUxBpxo36PNa+sxNW6z3Nd8O8bVNt9Xm8drrB3Ltf69MI9PofZZNM7XJ/xX/xFttL1+m7Zcv5fZOu24V7erNda2qzlt3vgmlse33G5ctLLdynWzdotp73e9/aSZj3dLr73Bc5FbOp5LoyE2bVXtA9+vJSUlpmX8mG/4gx7fy6g3jSFPNfi+Hjt2rHomWIPvbi8vy+ctAsF9+/ZZ3R/vgSARuYfa34/3RHEz3keD73A0dGQw2EyaenGRzD9ENuHmKbMjw+VU+moRpGvQuehUB9C9Q3pLv/b9ZFjUMNM21P2Lj463zfk5GQRsQ4YMUUmDnDZ8ftCPIXKS8WsNU3wmEChaa2xha/iiQfCJ4A45lEhoKa3NBwUFiTNA0BHYzkOlW1Wrr5MrtQgC9aoD76paTLHOuKzW1+ilqqZOTbVlY+Col2p9ndTU1hmn+jqpVvMGK+uMUywjADVf1xCqW2KbNL0Encih7HlmpOoU3xbwo9jcokWLZPHixRbr8vPzVaZAw3p64eHh6rvfGtTtQ4bTXXfdpb5/kZnwj3/8w6JY2Ny2bdvUj3r0bKHBD34PDw+VmdDwfbGtNXD4YLApFxeVQV9++WXbn9x/bZKgz2dIcNEp8dJ5i7+nv4S1C5PwduEqYbSPrgFdJcY/ptWM+OFskNt3//33q2RRdJ+bq4odEAwixw5T3LTI7kfCL1BM0YIZnz/U10PCPBJufO2XqZaQi4hADl8ImGrz+Kwi91FLyHlsrTl8jgrd3/giedrnKw+fKYw1jaAQU+R61tbVGad6bbnBem1Zf431alpn5fUG9X4oYtcbDFJXP19Xh3kEocbtxm1idfvVZDz3ujrjer22r8VrjduN24znoOXDYl/Ma7WRjMvGYzRcVqsabq9/rXGq7VN/rIavb/Be1o6vHUs7QOPjW57bjVzXRusa7WPldY32utZ+199Hmnys65+7tWPd6OusrUTusa2g7jR+RGuaq5rPO++8o0oekZOH72UEhCiFRMmjNWvWrFF93zpaLxYOHww2BXIRkYWrwYO+4a+K5rJm3BqbHJdsBzd8RESESqhbQtQcnynUJ0QdQiJqfqgzfb2O8Nu3b69KiBqOpZ6bm6u+761BXT/k9qE1MIZHRZCH6mcorWkILYrRDy5yDs3h2CjFRI6hee7gT71vS3P4b6amXFz8YsCHRkv4EBEREVHbhRIbNK4zH8EKDUh2796tutj6Kag3iJxHlAChG7MJEyY02gf93aLR6n333WexHu+JuuXm74vqSOfPn7/u+7YUV2e+uEREROQ8UCqIbmLQbyC66ELjwvLyclMDVPRMYt4GISUlReX0oTcHjHyF/gURY8yfP9/iuFiHYBAjYDXsyxaN/mbMmKHeG93NoJ463g8xSmtoPNJmionxD4wLgIYB6FsQXcuYX1wiIiKiyZMnq34BMcY96oGj39UdO3aY2h0gt858jHsUD7/00ksqGES973vvvVfWr1/fqDEIiofx2unTLQeE0Lz99tvquOiWxrzT6daiTfQzCOgzSOt0GhcXQ5ShP6EbweFsiIiIHA+f382jTeQMAnrzRiIiIiIiJ6ozSERERERNx2CQiIiIyIkxGCQiIiJyYgwGiYiIiJwYg0EiIiIiJ8ZgkIiIiMiJMRgkIiIicmIMBomIiIicGINBIiIiIifWZkYguRUYYBqys7PtfSpERER0g7TntvYcp6ZhMCgiubm5ahoXF2fvUyEiIqImPMejo6PtfRoOy8VgMBjEydXW1sq3334r4eHh4urafCXnpaWl0rt3bzlx4oT4+fk123HJNni9HAevlePgtXIsjna9kCOIQHDgwIHi5sb8raZiMGhDJSUlEhAQIMXFxeLv72/v06Hr4PVyHLxWjoPXyrHwejknNiAhIiIicmIMBomIiIicGINBG/L09JRFixapKbV+vF6Og9fKcfBaORZeL+fEOoNERERETow5g0REREROjMEgERERkRNjMEhERETkxBgMEhERETkxBoM2tHLlSuncubN4eXnJ7bffLocOHbL3KVEDixcvFhcXF4vUq1cve58W1fvqq6/kgQcekKioKHVttm3bZrEd7d8WLlwokZGR4u3tLWPHjpVTp07Z7Xyd2fWu1dSpUxvda+PHj7fb+TqzJUuWyNChQ9UII2FhYTJx4kRJT0+32OfKlSsye/ZsCQkJEV9fX/nlL39pGrqV2h4GgzayadMmefrpp1UT/dTUVImNjZVx48ZJXl6evU+NGujTp48a7FxL+/bts/cpUb3y8nJ17+CHlTWvv/66LF++XFatWiUpKSni4+Oj7jM8yKh1XStA8Gd+r23cuLFFz5GMvvzySxXoHTx4UL744gupqamRhIQEdQ018+bNk3/+85+SlJSk9s/KypJJkybZ9bzJhtC1DDW/uLg4w+zZs03Ler3eEBUVZViyZIldz4ssLVq0yBAbG2vv06AbgK+rrVu3mpbr6uoMERERhjfeeMO0rqioyODp6WnYuHGjnc6SrF0rSExMNEyYMMFu50TXlpeXp67Zl19+abqP3N3dDUlJSaZ9Tp48qfY5cOCAHc+UbIU5gzZQXV0tR44cUUVWGldXV7V84MABu54bNYZiRRRtde3aVR555BE5f/68vU+JbsDZs2clJyfH4j7DmKqoksH7rHXau3evKpbs2bOnzJw5UwoKCux9SiSixiGG4OBgNcXzC7mF5vcWqs9ER0fz3mqjGAzaQH5+vuj1egkPD7dYj2U8vKj1QOCwbt062bFjh/zlL39RAcbPf/5zKS0ttfep0XVo9xLvM8eAIuIPPvhAdu/eLUuXLlVFj/fcc4/6riT7qaurk6eeekpGjBghffv2Vetw/3h4eEhgYKDFvry32i43e58AkT3hYaTp37+/Cg5jYmJk8+bNMmPGDLueG1Fb8vDDD5vm+/Xrp+63bt26qdzC+Ph4u56bM0PdwbS0NNaVdnLMGbSB9u3bi06na9TyCssRERF2Oy+6PvwS7tGjh5w+fdrep0LXod1LvM8cE6pl4LuS95r9zJkzRz755BNJTk6Wjh07mtbj/kF1p6KiIov9eW+1XQwGbQDZ64MHD1bFIeZZ8VgeNmyYXc+NflpZWZlkZGSorkqodevSpYt6MJnfZyUlJapVMe+z1u/ChQuqziDvtZaHNj4IBLdu3Sp79uxR95I5PL/c3d0t7i10PYP61Ly32iYWE9sIupVJTEyUIUOGSFxcnCxbtkw12582bZq9T43MPPvss6pvNBQNo+sEdAWEXN0pU6bY+9SoPjg3zzlCnc6jR4+qiu6ozI66Tq+++qr87Gc/Uw+0BQsWqMZA6DeNWs+1Qnr55ZdVX3UI4PGDa/78+dK9e3fVFRC1fNHwhx9+KNu3b1d9DWr1ANEAC/11YopqMniO4dr5+/vL3LlzVSB4xx132Pv0yRZs1k6ZDCtWrDBER0cbPDw8VFczBw8etPcpUQOTJ082REZGqmvUoUMHtXz69Gl7nxbVS05OVt1ZNEzopkTrXmbBggWG8PBw1aVMfHy8IT093d6n7ZR+6lpVVFQYEhISDKGhoarLkpiYGMMTTzxhyMnJsfdpOyVr1wlp7dq1pn0qKysNs2bNMgQFBRnatWtn+MUvfmHIzs6263mT7bjgfzaJMomIiIio1WOdQSIiIiInxmCQiIiIyIkxGCQiIiJyYgwGiYiIiJwYg0EiIiIiJ8ZgkIiIiMiJMRgkIiIicmIMBonI5qZOnWqXUUHWrVsnLi4uKmG0kp/SuXNnNVJQS8H7aefWcAxYIqKWxOHoiOiWIJj5KRji75133lHjodoDhtLCuKo+Pj7Smhw+fFi+/vprNUQbEZE9MRgkoluSnZ1tmt+0aZMsXLhQBV8aX19flewZrGI83NYmNDRUjftKRGRvLCYmoluCQEtLGOBeC760hECwYTHxqFGj1MD3KLoNCgqS8PBwWb16tZSXl8u0adPEz89PunfvLp999pnFe6Wlpck999yjjonXPPbYY5Kfn3/T55yXlycPPPCAeHt7S5cuXeRvf/tbo33eeust6devn8pR7NSpk8yaNUvKysrUNpwnchw/+ugji9ds27ZN7V9aWirV1dUyZ84ciYyMFC8vL4mJiZElS5bc9LkSEdkag0Eisov3339f2rdvL4cOHVKB4cyZM+VXv/qVDB8+XFJTUyUhIUEFexUVFWp/1KsbM2aMDBw4UL755hvZsWOH5ObmykMPPXTT743gNDMzU5KTk1VA9+6776oA0Zyrq6ssX75cjh8/rs51z549Mn/+fLUNAd/DDz8sa9eutXgNlh988EEVzOK1H3/8sWzevFnllCLgRD1BIqJWx0BE1EzWrl1rCAgIaLQ+MTHRMGHCBNPyyJEjDXfeeadpuba21uDj42N47LHHTOuys7NRydBw4MABtfzKK68YEhISLI6bmZmp9klPT7/h88G+eM2hQ4dM606ePKnWvf3229f825KSkgwhISGm5ZSUFINOpzNkZWWp5dzcXIObm5th7969annu3LmGMWPGGOrq6q55zOTkZPW+hYWF19yHiMjWmDNIRHbRv39/07xOp5OQkBBVLKtBMTBoOXbHjh1TOXlaHUSkXr16qW0ZGRk3/L4nT54UNzc3GTx4sGkdjhMYGGix365duyQ+Pl46dOigcvqQS1lQUGDKqYyLi5M+ffqoXEPYsGGDKgq+6667TLmPR48elZ49e8qTTz4pO3fubNK/ExGRrTEYJCK7cHd3t1hGXUPzdVor5bq6OjVFfT3U80OAZZ5OnTplCsCay48//ij333+/Cli3bNkiR44ckZUrV6ptqAuoefzxx1X3NVoRMeo7auc9aNAgOXv2rLzyyitSWVmpirNRhExE1NqwNTEROQQEVwjMUO8OOXtNhVzA2tpaFeANHTpUrUOdPvO+/rANQeibb76p6g4C6v419Oijj6p6hKgfeOLECUlMTLTYjkYmkydPVgmB4Pjx4+Xy5ctsRUxErQpzBonIIcyePVsFUlOmTFF99KFo+PPPP1e5cXq9/oaPg2JbBGW//e1vJSUlRQV+yOFDy2INWjLX1NTIihUr5MyZM7J+/XpZtWpVo2OhJfSkSZPkueeeUw1eOnbsaNEaeePGjfL999/LDz/8IElJSap1dcPiaCIie2MwSEQOISoqSvbv368CPwReqF+IrmkQXGm5dzcKRbo43siRI1Uw95vf/EbCwsJM22NjY1Uwt3TpUunbt69qCXytbmFmzJihio6nT59usR71DF9//XUZMmSIyoFE0fOnn3560+dKRGRrLmhFYvN3ISKyA9TnQ8Boy+HekGs4b948ycrKEg8Pj5t67d69e2X06NFSWFjIHEMishv+RCWiNq24uFi1PH7++eeb9bhoVYyi6j/96U+qyPlmA0G0REYH2kRE9sacQSJqszASCDqmBuS8oZPr5rJ48WJ57bXXVEvm7du33/SQe+fOnVP1EqFr164sPiYiu2EwSEREROTE+FOUiIiIyIkxGCQiIiJyYgwGiYiIiJwYg0EiIiIiJ8ZgkIiIiMiJMRgkIiIicmIMBomIiIicGINBIiIiIifGYJCIiIhInNf/A2e6VCEyRenNAAAAAElFTkSuQmCC", + "image/png": 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Mfv/998e2uXz5Ml555RVUqFBBpdULFiyoIrZJa8D0usCTJ0+q15U/f/5UI618XL6PFOJBQUGp7idLEfgeMbXP96BUqVIqsqyXFjAixSh1WuofU9vPJ70G7sfQoUPh7e2t9qNKlSqYOnVqso/PHyx6pMzLy0uVQvAHlL4No9uEr0Uvp0itri652ru0PFdK903r63nS8X/Sa0nuuQ8dOoROnTqpsg8PDw+0adMm2VKStL4+QcgpSGRQyDbExMRg3rx5aNy4cbInYH5RU8hRdDFKyChc3bp1E21Tu3ZtFVVs3769MR1qWnu3bNkyJRj5HOaEJ6Hy5curk5Ap9evXV5eHDx9G8eLFzfZ8rE1kNHLAgAEqksmTHvnvv/9U+v3ZZ59VJ1VTeIKlQGZkNCs5duyYOv6FCxdWJ12Kd9ZDUhiYsm/fPhUx5f4UK1ZMndQnTZqEli1bKtHk5uaWaHsKRQr7r776SpUTJAdrQVu3bq3qLvmDgLWjKREYGKjeH9ajUcRTJFOcUNhTEDCCmhFS28/kbqNgbdiwoRInr732mjpuq1atUiIpLCxMlR2Ywh8BFEfjxo3DwYMHVeS7SJEi+Oabb1Sk+OzZsyoy/OOPPxpfPx8zI6T2XCmR1tfzpOOf3tfC8g5+L/D/IKPx/MHDHyH8PG3ZskXV8Jrj9QlCtsQgCNmEZcuW8exo+O233xKt37Fjh6FPnz6Gv/76y7BkyRLDuHHjDAULFjS4uLgYDh48mOxjXbhwwXDgwAFDTEyMcV1oaKh6/B49eph936tUqWJo3br1Y+tPnDihnnPy5Mlpfqx9+/ap+0ybNi3V7aKiogwtWrQweHh4GHbv3m1Yv369wdnZ2dC1a9dEr1vn0KFD6nG/++47Q1bSs2dP9d5cvnzZuO7kyZMGe3t79fw69+/ff+y+u3btUtv8888/xnWffPKJWjdgwIDHttdvu337tuHUqVMGPz8/Q7169QzBwcFP3M9BgwYZ7Ozs1PFOSnx8vLocPHiwoWTJkik+b3LrUtvP5G574YUXDL6+voY7d+4kWt+/f3+Dl5eX8TjpjzF06NBE2/Xq1Uv9f9Dh+8vtAgICDGmBn7Ok26f1uZK7b1pfT1qOf2qvJelz83Pn5OSk/u/rBAYGGvLmzWto3rx5ovum9fUJQk5B0sRCtkoR89c8f62bwigeowVMO7EO7r333lOpH0Ye3n///WQfi9E/RgkdHBKC44xKEHYZmxt2ICdXyM40qX67ueFjL126VEUk2ajSs2dPFf1gdNX0dZvWCxI2qGQVcXFxqmOZ+8JmGB3WKHbo0CHRtkwNm0aF7969q9K7TNkxSpMUNhalxPHjx9GiRQsVUV6/fr1Kw6ZGfHw8Fi9ejG7duj0WXSaZscBJbT+T3sbo4MKFC9V+8DobifSFxys0NPSxY5H0MRgN47HTP9/mJL3PldbXY+7jz8/d2rVr1eeO//d1WArCtDzLFpLbZ0seS0GwJiIGhWwB079LlixRJwzWjj0JioYePXqoJgqeCNKCnsJl3aG5obChtUxSoqOjjbdnBXxN33//PYKDg9UxZOd0Ss+VXCcxaypZW0eBzPRY0gYdnsRff/11leLmc7H2i3WXKR3z27dvK+FrWqepw9pAU7jdxx9/rB6bQpppQKYAmTakaEgK03kpQVHB10AhmjRVn9J+8oTP125uUtvPpLdxP/h6+T7wtZsuLIsgt27dSnQfU5FNdOHLpiJzk97nSuvrMffx5+MxtZz0M6b/EKH4TK5u15LHUhCsidQMCtkCRglS6iJOCYoI1sGxKzMtAoDbsFCdUSRzwwiE7otoCjuECZ83K7h48aI6Zqy3orjq06cPduzYkWxzDCODrNvTa/d++eUX1Wwyf/58df9r165hw4YNxu150qb3Imuu9uzZo14DBeVHH31kLOzPDBSZ06ZNUzVk7CpnAT8jQqwh5Mk7KakJar5uNszMmjVL1Uyai5QiVKn9AEltP5Pepr9O1ngOHjw42fsktQFKqYM2pTrKzJDe50rr68mKfc0IljyWgmBNRAwK2QKexNn9xzRweoQQU6W8X1rp2rWrilqwwzeprU1mqFmzpopSMtphKkwpovTbzQ2FZrt27VRqnc0SFIPsUGXzBgvm2USRVAyapojZWEPvRt1mhuKanZU6LP5nqn3KlCnGdbw/U9MpwQgQBc+5c+ceu43NK6Yw9U/B8MMPPySKpGbEYJjNREyNszuZEcKUutFN95Pv05N+GDBSlNz+sGPZHHA/uL8Ul0k9NzOKuae8ZMXroWhMy/FP62vh87LhKOlnjJw+fRp2dnZmbeAShOyGpIkFm4cpHtZ59erV67EOUv32pDBCRVFC4cMv+rTCLkN6u7344ovJ2o6wG5VTSNIL06s8AZqaVTNtzMgX6/hMT0SMgPIElZkRakxjMaXO1DCPHbtxmZplmpTpsC5duqiIqc7NmzdVpM9UDFJI06KGxzFpjRSPA2u/aISd3kgL94uR3itXrhjXnzp1Su1b0m2TRmB+/vnnNKf9k4oGHnu+DxSYqQlWws8M68vYXU5fx6To+0VbHKas9XpLXYQnZ+mTEXgMGNXksU5OGCX32X8SunehNaZ2pPX1pPX4p/W18Hn5XcBSE1OrGf4fZy0yfySlJXsgCDkViQwKNs/cuXOV/UhKKeJ+/fqpaBMbSVjXRtsRnvgpHL/++ut0PRdP7jw58DEZETOdQEKbE6ZMTaNjutBgc0JqU0Eo+GgbwoYWii7WNDJtyRMTU7Gm0BKmVatWym6F1is6TNvypEfLDcITJVO3ekqVaVQdijiKPu6TaX0eI5DLly9XJ0Y+PyNlKdUL0rKDFifDhg1TgocTHX799VdlqcJ0MR83uRqsJ8GJEatXr1bF+Hx+vrcUeaw3NBVVjNLOmDFDva7KlSuraC2FbVpqRpODAoNj9igy2IS0cuVKZTOTEnztbDrge0trE34eKPT4GWDDARtZmLKmjQ9/qDCKSiFP+xs27STX5JIR+BlmVJmfIb4XPBasAeXj83jwenqoU6eOuvzwww/V/jNyzJpKSxlcp/X1pOX4p+e1jB07VkXIKfz4uWOkmNYy/FHGOldByNVYu51ZEJ5Ew4YNDUWKFDHExsYme/vEiRMN9evXNxQoUMDg4OCgbCueffZZw7lz5zJ8cM+ePWsYNmyYwd/fX9lR0H6iSZMmhp9//tkQHR1t3C48PFxZUNAW40nQ6uWdd94x+Pj4KIsXWpysXr36se02bdqkHpP2FqbQwoTrk1uSWmvQOub48eMp7suRI0eM9hzk22+/VY9z+PDhx7aNi4szrF27VtnBzJo1S6374osvDG3atDFklC1bthjq1Kmjjm3p0qWVtU5SO5Z79+4ZhgwZYihUqJCyx+nQoYPh9OnT6jjQ0iU5+5ikJHcbrUtMLXdSg/Y3tDgpXLiwes+4r6+++qrhwYMHxm14bKpWrapeS4UKFQwzZ85M1VomrftpSlBQkHre4sWLGxwdHdVniMf/jz/+eOJjJGfvwvevaNGiyrrlSTYzqVnLPOm5krtvWl9PWo9/Sq8lueem1RQ/R3zv3dzcDK1atTLs3Lkzze9HSq9HELI7efiPtQWpIGRXGF1iBIuRtWrVqiEnQ1uWMWPGqBT6P//8gy+//DLZGixB0GHUm58XRqlZqiAIgm0iNYOCkAmY7mJ6KqcJQU5cYHML/f1Yd0jhxxpD2vUQpuKYOuZ6pkZZ8M+JISNHjrT2rgs2BNO6LKNI2qwkCIJtITWDgpAJ2KWaE2EDCms02VjCwvrmzZurmj191Be7aFk3+M4776hRYBSDrINMzVBZyD2wMYPd4JMnT1Zd+ck1fgmCYDtImlgQBEEwK2xc4tQbzham9VByJuOCINgOIgYFQRAEQRByMVIzKAiCIAiCkIsRMSgIgiAIgpCLkQYSQJneHjp0SM1kTc+0CkEQBEEQrAeb19iwVKtWLWUkLmQMOXKAEoIsdBYEQRAEIfvByU316tWz9m5kW0QMAioiqH+YfH19rf2eCIIgCIKQRi9LBnP087iQMUQMPppZSigExSVfEARBELIXUuKVOaRAThAEQRAEIRcjYlAQBEEQBCEXI2JQEARBEAQhFyM1g+loX3/48CFyO46OjrC3t7f2bgiCYGXi4uIQExNj7d0QcjhyzrEMIgbTAEVgQECAEoQCkC9fPvj4+CBPnjxyOAQhl2EwGHDz5k2EhIRYe1eEXIKcc7IeEYNp+OJj6zqjYcWLF8/VHUs8Fvfv38etW7fU32LDIwi5D10IFilSBG5ubvKjUMgy5JxjOUQMpmE6CQWQn5+f+uLL7bi6uqpLCkKeDCRlLAi5KzWsC8GCBQtae3eEXICccyxD7g1zpePLjzg5OVl7V2wGXRRLvZAg5C70//Pyw1iwJHLOyXpEDKYRqY+TYyEIgnwfCpZHzr9Zj4hBQRAEQRCEXIxVxeDWrVvRrVs3VY9H5b948eLHikc//vhj1ajAuoG2bdvi3LlzibYJDg7GwIED4enpqTqOXnjhBURERFj4lQiCIAiCYOs8SXckx+bNm1G7dm04OzujbNmy+Pvvvx/b5tdff4W/vz9cXFzQoEED7N27N9Ht0dHRePXVV1WtrYeHB/r06YOgoCDYClYVg5GRkahRo4Y6iMnx7bff4qeffsLkyZOxZ88euLu7o0OHDuqg6lAInjhxAuvWrcPy5cvVG/3SSy9Z8FXYNi1atFAf+Dlz5iRa//PPP6v/DIIgCILt0rJlS7z55psp/m2J58xJPEl3JIW2cl26dEGrVq1w+PBhdVxefPFFrFmzxrjN3Llz8dZbb+GTTz7BwYMH1eNTq+jOG2TkyJFYtmwZ5s+fjy1btiAwMBC9e/eGzWCwEbgrixYtMv4dHx9v8PHxMXz33XfGdSEhIQZnZ2fDnDlz1N8nT55U99u3b59xm1WrVhny5MljuH79epqf++rVq+pxeJmUqKgo9Ty8TC83bgYZjp88bYiIiDRYAx7DvHnzGnx9fQ19+vRJdNvgwYMNXbp0ydDjZuaYCIKQfcnO//f5ncfv+XHjxiVaz/OODZ0KH6NFixaGN954w/j33bt3DWFhYRZ9zuRo3ry5Om5cHBwcDOXLlzfMmjXL4p+71M7f6dUdyTF69GhDlSpVEq3r16+foUOHDsa/69evb3j11VeNf8fFxRn8/PyMnzVqF0dHR8P8+fON25w6dUo9/65duwy2gM3WDFKN08+KqWEdLy8vFX7dtWuX+puXTA3XrVvXuA23pxcgI4kp8eDBA4SFhRmX8PDwLHkNderWQ9XKFbHv4EFYA6bU+drGjBmDVatWKYscHf56qVOnjlX2SxAEwRowhffNN9/g3r17ZntMS0+mKlCgAPLmzQtrQh116NAhjBs3TvnwnjlzBo0aNcLgwYPVudsa8Fxnel7ned4c7Nq1K5EOIYz66TqE7/+BAwcSbUMNwr/1bXg7O/FNt6lYsSJKlChh3Mba2KwYpBAk3t7eidbzb/02XtLvyhQHBwf1n0XfJjn4Aaaw1JfKlStnyWvI6+mpLoPvhcIa8APILz+GtFlTSUFImGY/deqUqoEQBEHILfBkzOlJPAekBEXEiBEj1LmF359NmzbFvn37EqVQX3vtNZUuLFSokBIG+vrXX39drc+fP786V02ZMkWlJYcMGaIEHOvN9O9hndWrV6vnYGCD9WRdu3bFhQsX0pTCvXTpkioDSrpwG8KpWXytpUqVUnX3TF8uWLAg0eNx/wYNGqTq2Fif/8MPP6Q50MD95vEsXbo03n//feXLe/ToUVgDnsdNz+upvcfp4ebNm8nqEArOqKgo3LlzR1nQPUmr0J6O73FK21gbmxWDWQk/tKGhocbl5MmT6XNEfxibpsUjryYGb98NSfN9Ulu0qHbaYfSvevXq6kPYq1cv45fAkSNH1H/apGKwb9++aNKkSbqeQxAEIbtAk/yvvvpK1Uxfu3Yt2W1Gjx6NhQsXYvr06eo7lAKOgo/Nijq8jd+rO3bsUDXtpuspENk8QGH48ssv4+mnn0bjxo3VY7Vv3x7PPfdcoiwNxRjrzfbv348NGzaoqBK/r9My/pRTsRiZ0xdG6ygomzdvrm6nIPrnn3/UPrK2nnVrzz77rKpZ0xk1apT6e8mSJVi7dq1qluC+PinQQNHJ84uOfjyTiiJLwfO46Xmd53khB0wg4a8Nwm4b07Fn/LtmzZrGbUwLNAlFDv/T6vdPDnYEcdGhwk8rUTFxqPxxQuFoaty6oxm0fjBvD8adSfyLICOc/LwD3JzS/pbxP7Qu+FioyoW/erm+cOHC6otEh7/mrl69ivPnz2d6PwVByF3jwqxBRkfhUWjxHMJi/7/++ivRbRRmkyZNUt2inTp1UusY3WODIrelcCLlypVTDY5JYeSNZTmEYuTrr79W4nDYsGFqHd0x+Pj8vm3YsKFax65SU6ZOnaq+nyluqlat+kRxq5/rmPHp2bOnStd++umn6ruewnf9+vVqHWEEb/v27fj9999VcyGdN/i6Zs6ciTZt2hgFbbFixVJ9Xp5DGG1kxomcPn1aiWge1/r162P8+PF4++23cfz4cVSpUkVtw07a3377TZ2fGTnlNoxC8vjwM8SGDorljMLIq74/5sTHx+exrl/+zeditJXvAZfkttHfG14ynczpPabRQdNtrI3NRgb5QeNB4i8lU9HGWkD9g81LHlz+StHZuHGj+kXF2kJrk8dZm9RheBBplec3rQtk2sDR0VF1QPF4JY0K8kuKXxz8oPIXpiAIwpPgSZzpRWssmRGhrBuk6GG5jClMz7K2yzRDwu9NChzTbVOqtzaNlFEgMEpXrVo14zo9amYaxGDKdcCAAUqoUWDQnoRcuXIlXa9p6NChKnU7e/ZsFV3kD3seo3bt2iU6bowU6mloXlKkmJ4vWWZVoUKFJ55bmKLm4zGVXqtWLfU6mfLmc1ME8m/WEuqvhbVxFJkUgoTbUAwyU/Xdd98pAWuLNGrUKJEOIfxxoOsQRoj5eTDdhhqEf+vb8HZ+jky34bHhcdG3ydWRQf4qMY1EsfCUrdv8MLKwknURY8eOVb/CKA4/+ugjZYfCXz+kUqVK6Nixo/rVxTA4/xOzlqN///5ZZpvi6mivInRp4X+3FmPmyS14plZhfJvG+zzpudPKxYsXlVDWRR9rKbt3767SH8eOHTP+6iWsh+F7wdZ5FrXyF6lpNFYQBCEnwTQqU7+M3j3//PPpvj9tzpKDJ3xTGLk0XadHMk1TwPS8K1mypIpA8rzF2xgRTE9jCs+T/KHP9LTeXKL77a5YsQJFixZNtL1pZiwjUAwySsp6dEZoeb4wjdJS6LHsSBeDX3zxhYrIMq1uug1rMwn3Tx/9am3d8f777+P69etKNJPhw4fjl19+UZFPCm4GnObNm6eOqw7T/GyeYTMrfzhMmDDBWCtKWMNID2Rux+eh6GcZAYWgHiHO1WKQNRIUIDo8UIQHlWF6HnweUPoGUtiwWJW/PPhLRGfWrFlKADLEzV8kDLnTmzCr4Ac+ranaQgW0X0CREeHpSu+aA0b/+IvFNM3AY6PXq3z44YeJooL8z0p0MainDARBEFKCQsBaJv+ZnY/MFC7TmqZRsDJlyhhrASnQCIMM/MGcFb57d+/eVYKJQrBZs2ZqHdO46YE/8D///HPVmML9N22ooOhj9Ikp4eTg9hSrzLhRCBF2Wp89ezbF++iBBkYcWU+ZXOkAo4ZshPnxxx/V9lwYfdTPR9yGqWUee4pAps47d+4MW9AdN27cSBSVZSCKwo/1lhMnTlTRzT///NPYOET69euH27dvq3MpG0L4uaJWMa2f5LHQNQpT+Lw/0+a2glXFIFOXqTVFUHjxQ84lJaiyGRa3Rby8tPqFsFDLdxPzlxv/4/GLTYf/efkfj7849Yghv/RYPMw0BeEXOwueBUEQngS/o1OKktk6TGNyaIFp8ICvhU0fjHrpkSLWBvIHNCM75oYpU6aS//jjDxVdowh577330nx/RtfYCfzuu++q2jy9M5Xf+9z/d955R4kYRhsZTGFjBb/zGZmi+GGal6+Lr5f7wQ5qBgooWp7UPGJq6WYKI22sR2fmjmloBhqY1Vu0aJHxvMNtKIgYGeO+sss7Pa87K3XH38lMF+F92JyTGgxKcUkJBrFYF5lWs2tLY7M1gzmBfF5e6jIszPJikF1kprWUhL8SWXfJ/wj8tUP4n5QFxvwlx4W/gNLTXS0IgpBdYaAhadcuI4Z6FoXihSlFpmD1WjdzQtH177//qu9q/nincGP9XHqiXBSqTBNTTOqLPtlCF2I8H+hlVfyO17//CZ+PUUmmqynKKBpT86DVO6yZ+kxJoPK18HzDzB5TrhRT+np9Gz4f07NMbbNePbOpayFz5KHzNHI5bInnLxl20ybtomKHFn/F8D+PaXo6LUz/ZwaeHzwIDZq2wK6tmzLU+ZaVsPaBXyK81GGnF0P3DHmnRGaOiSAI2Rf5vy88CQo7pp4ZbeSYNkYsKQIpUpkuZgcut2H6nR3dmf3cpXb+FtKORAazkHz5tF9OEWFhiIu3Pc3dunXrREKQMLWQmhAUBEEQhJQwjQCylo7X2T3NxhYKQX0b0y5rwfrYrM9gTiD/Iz+h8PAwxMYb4JD2ZmBBEARByHYkV8PPWkQ2paS2jWBdJDKYheg1FewmphgUBEEQBEGwNUQMWkAMqjRx3JNHCwmCIAiCIFgaEYNZiD4a58GDaNyPfpCVTyUIgiAIgpAhRAxmIaZzEoNDQrLyqQRBEARBEDKEiMEshCPg3B4ZsoaEWN5rUBAEQRAE4UmIGMxi8ubVooMiBgVByCmIPa0gn7echYhBC42kuyeRQUEQsjk0EyaceiEIlkL/vOmfP8H8iM9gFuNpHEkXltVPJQiCkKXY29sjX758ykSYuLm52dxkJSFnRaApBPl54+eOnz8haxAxaKH5xCGh0kAiCEL2x8fHR13qglAQshoKQf1zJ2QNIgazGK9HHcWMDMYbDLCTX9GCIGRjGAnknFlOleB8WUHISpgalohg1iNi0ILG07FxBjg5WDal0qJFC2zdulWN/xkwYIBx/c8//4xx48YhMDDQovsjCELOgCdoOUkLQs5AGkgsEN4mkRGcTxxv8XqLQ4cOqV/xCxcuTHTbgQMHULt2bYvujyAIgiAItoeIQQsZT4eHa5FBS3Lu3DmEh4djzJgxWLVqVaIOwIMHD6JOnToW3R9BEARBEGwPEYMZ5WFkyktM9GNp4sjQe4iJCk9m26i0PW4GYPTPxcUFL774ohKlFIQkOjoap06dksigIAiCIAhSM5hhvvJL+bZy7YGB8xOJwTynV6LgT6Ue37ZkU2DIioS/J1QD7t99fLtP0z/BhNG/6tWrw8nJCb169cKCBQvQp08fHDlyBLGxsUYxOH78eLUUKlQIoaGh6Ny5M3799dd0P58gCIIgCNkPiQxaKE0c+sCyKWJdDOqCr3fv3lixYgUePHig1hcuXBjFixdXtx0/fhwTJ07E4cOHcfLkSfz999+IiIiw+P4KgiAIgmB5pJs4o3yQShduHvvHGkiCXMrg8v+2o2RBtyTbJtHjbx6DuaDo0zuIW7ZsqVr016xZ81jzCMXghx9+qK5TEJYpUwYeHh5m2w9BEARBEGwXEYMZxck9TZvpYjAsLBwx9q5Pvl8aH/dJXLx4ESEhIUbR5+DggO7du6uu4mPHjqFTp07GjuMzZ86o9DEbTHif7du3m2UfBEEQBEGwfSRNnMXkz59fXYaHhiAmznLWMoz+sVawatWqxnUUfEuXLsWJEyeMIjEgIACVKlVSEcGzZ89ixIgR+PHHHy22n4IgCIIgWBcRgxYSg9HRUbgfFa0icZaAKWIKQQpCnXbt2iEuLg4PHz40ikGmiCtUqGDcplq1aggKCrLIPgqCIAiCYH1EDGYx7CbWB7mHhtxDXLxlxCCnizA6aIqzs7Mai0dBWqpUqcfEIIXinDlz0KZNG4vsoyAIgiAI1kdqBrMYOzs7JQhZixfGVHG8AQ4J/SVWh2KQNYLz589XopW1hC+//LK1d0sQBEEQBAshYtBCqWJdDMaybtDRdtQgZxYLgiAIgpB7kTSxBesGVWTQwiPpBEEQBEEQUkPEoIXFYGy85TqKBUEQBEEQnoSIQYuKwVDESmRQEARBEAQbQsSgRb0GQy3qNSgIgiAIgvAkRAxaOk0skUFBEARBEGwIEYMWwDiSTmoGBUEQBEGwMUQMWnwknXQTC4IgCIJgO4gYtHCaON5gsNgUEkEQBEEQhCchYtDCYpBIE4kgCIIgCLaCiEFLponDQtWlmkIiCIIgCIJgA4gYtGRkMESLDD60YN1gixYt1MzhOXPmJFr/888/w8/Pz2L7IQiCIAiCbSJi0IJi8P79SMTExFgsMmgwGHDo0CH4+vpi4cKFiW47cOAAateubZH9EARBEATBdhExaEFrmYT5xJYRg+fOnUN4eDjGjBmDVatW4f79+8bbDh48iDp16lhkPwRBEARBsF1EDGaQ+zH307w8iH8AT0/PRPYysfGx6rbo2Og0PW5GYPTPxcUFL774onp+CkISHR2NU6dOSWRQEARBEAQ4yDHIGA1mN0jX9lGOUYkigxuubMA7W95BXe+6mNZxmnG7jgs74t6De4/d/9jgY+neR0b/qlevDicnJ/Tq1QsLFixAnz59cOTIEcTGxiYSg3///beqI4yLi0N8fDzefvttDB48ON3PKQiCIAhC9kIigxbC3t3eRAxapoGEYlAXfL1798aKFSvw4MEDtb5w4cIoXry4uu3333/H1KlTsWbNGhw+fBibNm1S9YaCIAiCIOR8JDKYQfY8sydd23f6uxO2XtmK8NBQxMbHo1Xx1uox7PIk1uOr+6yGuaDoGzBggLresmVLODo6KsFn2jxy7949VVPIaGGhQoXUuoIFC+L55583234IgiAIgmC7iBjMIG6ObunavlABTWiFPfIahMEu2cdI7+OmxMWLFxESEmIUfQ4ODujevbvqKj527Bg6deqk1i9atAitWrUSmxlBEARByKVImtjC9jIRxikkWZuGZfSPtYJVq1Y1rmO94NKlS3HixAmjSDx+/Dhq1qyZpfsiCIIgCLbCr7/+Cn9/f9Vg2aBBA+zduzfFbWkH9/nnn6NMmTJq+xo1amD16sQZPLp2vPnmmyhZsiRcXV3RuHFj7Nu3L9E2zLbR89d06dixI2wFEYMWgqlXEh6qNYdktb0MU8QUghSEOu3atVMNIg8fPjSKQXd3d9UwIgiCIAg5nblz5+Ktt97CJ598os6TFHcdOnTArVu3kt2eZVSsq2eD5cmTJzF8+HDVkEkPXx06dqxbtw4zZsxQmbf27dujbdu2uH79eqLHovi7ceOGcUk6DMKaiBi0sBgMvRdsETE4btw4FR00xdnZGWFhYao5pFSpUmod08WzZ8/G3bt31d+8febMmVm6b4IgCIJgDcaPH49hw4ZhyJAhqFy5MiZPngw3NzfVRJkcFHgffPABOnfujNKlS+Pll19W13/44Qd1e1RUlCq/+vbbb9G8eXOULVsWn376qbqcNGnSY+dgHx8f46JnDG0BEYMWQm/OCA3RxaBtdOsynM1fSawbrFatGpo2barC4oIgCIKQXWCqlsEMfaFzRlKYFWOQhFE7HTs7O/X3rl27kn1cPg7Tw6YwFbx9+3Z1nTZtzLilto3O5s2bUaRIEVSoUEGJSj0IYwtIA4mFI4MhwZZJE6cHhri5CEmgvU5YIBB+Q7uMCAKiQ4EHYUB0GFCwLND4tYTtZ/fT1sMA2DkADs6AvTPg4AQUKg+0+iBh25NLtEvX/IB7EcDTF3D2BPLkkbdBEAQhnTDKZwrTwIzQmXLnzh0l3Ly9vROt9/b2xunTp5N9XKaQGU1k1I91gxs2bMB///2nHofkzZsXjRo1whdffIFKlSqpx2L6l+KS0UHTFDEt3piVu3Dhgoo2MjPH7eztNes5ayJi0MJiMDj4rk1FBgUAkXeAG0eAO+cAtwJA9b7aYYmPAyZUBQwpCHf/ZonF4JVdmlhMjuINEovBVe9qItMUdpLn9QGK1gH6/JmwPvCwtl+eRQE7639pCIIg2Bqs5ytatGiilKw5mDhxokorV6xYUTV9UBAyxWyaVmYqeejQoer5KexYk09bN9NSrf79+xuvMwvHgRB8LEYL27RpA2sjYtDCaeJ7RjFoO5HBXAWbZa7t04Rb4EHg+iEg9ErC7SUaJYhBewdNgDFCyMidhzfgmg9w9gJcPLXIoCndf9GEI6N7cTFA3EMg9oF26a69/0aK1wfCbwJR9xIijhw7GHwR8PBJvO2cAUB4IGDvBOQrARQorUUai1QCfKoBvjWy6mgJgiBkCxih08e+pnYeplgLCgpKtD4oKEjV8CUHBzQsXrxYjXFlWtfPzw/vvfeeqh/UoajbsmULIiMjVYra19cX/fr1S7RNUngb9+f8+fMiBnNlmjgkRNUY5IGDauTgLw0hi7kfrEXWdP4dANxPUqtBYVe4IlA0YUSf4s1jaU/dVu6e9n3q+0/ivx/e1yKFFIim0b+4WMDJHbBz1ETl3fPacm5tQsTxhUfXybbxgFcxTSDyNUkkURAEQUF3jTp16qhUb8+ePdU6umls2LABr71mkuVJBtYEMvLHmno2jPTt+yhoYALdObhwmAMHPLCpJCWuXbumxCWFoy0gkUELwa4hCj8KwLCQEBQoVEilip0cRAyaHUbybhwGTi0DTi3XIm66qLOzAyr3ACJvA0XrauKPwsnFK/nHspRYd3IDCpbRFlMYnXx9v5ayDrsOBAcAwReA22eAW6cAv1oJ28ZEARs+12oWiaO7Fjn0q6m9xmL1gUJJopmCIAi5CDZMDh48GHXr1kX9+vUxYcIEFdFj6pcMGjRIiT46cpA9e/Yoixj68fKSdYgUkKNHjzY+JoUfz+1sDGGkb9SoUSqtrD9mREQEPvvsM+X1ywgkawZ5f9YUsibRFhAxmEYyO6uXE0Dy5cunfjFEht17JAbj4eSQ/Rq6bXZucdgN4Mgc4PAsLXqmw6ga06+60Or6I7IdjPAxRcyldIvkt6EYrPcicPMocPMYEBMJXN2tLaRaX6DPlIR0+dlVQLF6gEcRy70OQRAEK8L07e3bt/Hxxx/j5s2bSuStXr3a2FRy5coV1WGsw/QwvQY51cvDw0PZyrBGkOdzndDQULz//vsq2legQAEl+r788ks1ApYwNX306FFMnz5dZQeZaqYXIZtOzFXbmFnyGGz2zG45+AYWL14cV69eRbFixRLdxpAwlT7fPC+vFKJHaaRcuXLqseYsWY3KtRugRAE35HNLMIXOLjC0TYPO8uXL20QXlGLXr8DaMQnNHmzGKNcOqNgNKN8+5chfToWRRDbEMELK5hguVfsA9V7Qbmdk8df62vX8/lrUkHWMFIfeVbWIpCAIQjY+fwtpx6a/8dm6zZAsTZCp4CnIONKFKl2vtaOWZQv5lClTlOJu0qSJMnqk8DIHjOjRkJK/JKjyTX8xpBf+YiChd2/DEPsQkVF54GKXfRpJeKzv37+vhCB/FVlVCDIKFhutWbMQpkspBNkAUutZLRXsnBe5FkYSi1TUlhoJXWyJ6igLVwJunwbuXdKWY/MS0ssdxwF1Blt8twVBEATLY9Ni8JtvvlHCjqHVKlWqYP/+/SoHzwjdiBEj1DYs0Pzpp5/UNvTv+eijj1QOnm3mSU0gMwJFJws8AwICcPny5Uw9Fk0oyZWA8yhdoTLuO9sjLBtGBikEU+q8ynJiooEDfwPbfgCq9AI6PyrQpQh8/eDjNXdC8pRsBLy6G4gKAa7vB67uA67tBa7t13wUPf0Str24BdgxASjZRLPTofCmd6IgCIKQI7BpMbhz50706NEDXbp0UX9zsDTNHPWh0oxUsfiTkUJuR/755x+V+2cruKmvT2Y7kBhppHt5ZtBD2JeDo/DppluoX6oAxvWugOwEo6NWiQjSquXQDGDr91ojBQnYotW+MVrLSLEIwfRDq5yybbVFTy/fOgkUMBHVFzcBFzZqC3FwBUo00IRhmVaAb03pWhYEQcjG2LQY5Ki0P/74A2fPnlX1aUeOHFHjXegGThitY/rYdLQMo4YNGjRQrt4piUGOlzEdVcMxNk+C6eHMRhr1AtW46EhcD4/DiaAos0QvczwUIaveA+6c0f6m91/zd4Caz2pCUDBvepkdyKbUeg7I6wdc3g5c2q7Z8lzcrC0bvwCG7wB8qiZEbh3lMy0IgpCdsGkxSGNHGjiyRZvRKNYQskNn4MCB6nYKQZLcaBn9tuRgyzjbvK3lNRgbxZFlwPV7UeI1+CT2TgFWvqNddysINB8N1HleBIcl0S1vGryk2fawzjBgmxaZZSOKd5WEbZe+pqWaGTEs3Qoo1VyLPgqCIAg2i0NafXnSC1O3esNERpk3bx5mzZqF2bNnq5rBw4cP480331SNJPQJyihsATd9TfQOSjrXMCunkESHhajLyIdxCI2KyZYdxRajUndg05dA9X5Ay/dFWFgbpuM5+YSLLg51L0Zev7RDm5ayPwDYPxXIYwf41dY6u7lw1J4gCIKQ/cQg6/I4iJm1c2mBqVy6eWdWDNK4kdFBPd3LeX5s4mBkj2JQb2LgKBlTF2/+Te+glKCvj6m3D6OPlowM3rsXjEIeTrgT8RDX7kWJGDTl7gXg5BKg2SOxntcbeOOoNv5NsD1MTbl5/dU9WipZ1RluAu6e0xpUuNAA/OXtCds/jNSmqwiCIAjZI028aNEiFClSJM0zAs0BbUySWrkwXUz3b8LuYQpCjpLRxR+FHR3DX375ZdgauhikT1/5fK5KDF4PiULVornMAy85GFU6NBNYOYp5dKBwBaCi1jgkQjAbQdFesbO2kNBrWs3nuXWJZyhTCH5XFvCp/ihq2F6rVZTxjIIgCLYpBqdNm5Yuw+Xff//9sTq+jNCtWzdVI1iiRAmVJj506JBqHhk6dKjR9oVp47Fjx6puX91ahmlkfe6gLaGnie/cuYNW+V1x5FqoqhvM9TyIAFa8BRydqx0KdqnS+FjI/nBOcu1B2mLKtX3amEB9QgobUfL6al3NFIalW8qPAEEQBFsSg+mtz3vmmWdgDn7++Wcl7l555RVldEyR97///U+NkdHhfD/OFXzppZeU6XTTpk3VaBlb7NLVI4PBwcHw9dTS1IwM5mo4X3fuc1o6MY890PpDoMlI6RLO6VDscV40I4Zc2IwSfkOzD+LS7gugieYlmqguURAEQbCtcXTHjx/Hli1bVJcvJ3/UqZM9i8MtNc6GPoV6reLPKw/i+y2B6FjFB5Ofy57HLdOcXQssGAo8DNesS56aqpkhC7kPWtJc3vFIHK4BBi5I8I08PBvY/RtQoTNQoZPmayjiUBAEGUdnNjJs0vbrr7+iTZs2Sgxu2rQJrVu3VildIWXYgKPXU3ogWl3m6sggx8lRCDItPHybCMHcDL0Jy7YBOn0NjDiU2ED89Arg5jFgyzfAHy2B8ZWB5SM14UgRKQiCIFimgYRRM0bPdH755RecOHHCWAdHk+fu3bvjww8/zNwe5XCYKqbJtVNMpPo7V4vByt21CFCpFjLeTEiZbhO1ZqIzK4HzGx9Z10zVFqe8wNuncvccakEQBEtFBjnlY+LEicokWRc1rM3jJA+Km/Xr16Nw4cKZ3Z8cj96RnYfzX1k/GPkQ9x/GIlcQ+1CbJBIWmLCOnaQy51ZIDfdCQM1ngH4zgdEXtR8QdYdqpQX0OzQVgvx87fgJCL4ox1QQBMHcYnDfvn04c+aMGvVG82eOifvxxx/h6uqKfPnyYe7cuZg+fXpaHw65XQxGhgYjr7MWmA3MDdFBWonM6QfsmQTM7qvNwBWEjKST+QOi64/AWyeBAXMSbrsfDOz9A1j3EfBTLWBSE2Dz18DN41oTiiAIgpC5NLGnpyd+++037Ny5E88//7yqEdy2bZtqHuFCQSikXQyyO7po/vI4fTNcGU+XLZKD01wPwoGZT2kWIo5uQLvPtRm4gpAZ2ETCqKGOnQPQ8Wvg9HLN+DrouLZsHgfkLwU0exuo/Zwcc0EQhMw2kDRu3Bj79+9H/vz5UatWLWzdulWEYAbFYLH8rur61ZzsNfjwPjC7vyYEXbyAQUuAMq2tvVdCTjW85oi8wUuBUeeBHo86kB1cgHsBQLxJOUbEbc0MOy7GmnssCIKQvSKDsbGxKjV86tQp1KhRAx988AH69euH4cOH4++//1YNJeYwms5NYrBCATd1/WrwfeRI2On57wDg8nbA2RN4bpHMphUsg1sBoNZAbaGp+fn1gH/ThNtPLAJWjdJ+oJTvBFTqCpRpAzhp/ycFQRByE2mODL7wwgtK8Lm7u6uJJCNHjkT58uWxceNGdOzYUc0unjRpUtbubQ4TgyUficErd3OoGOTJ9uJmwNFdK/ovmkv9FAXr4uwBVOmZOKXMKKF7YSA6FDj6LzD3WeDb0sC/A4Ej/2oRbUEQhFxCmsXgkiVLsHDhQnz99ddYt24dVqxYkUgo7t69W9UQCmkXgyUKamLwck6NDLZ4DyhaFxg4DyjRwNp7IwgJNHoFePsMMGQV0PBVwKuENhOb9YZLXgPiTdLHcbmk218QhFxLmtPETAGvXbsWZcqUUdFAfbSaqciZPXt2VuxjzhWDBdyNaWJa9nDWco7Cqyjw4nqZFiHYJmxiKtlYWzp8Cdw8CpxaDkTd09LHOn+z7tAZqNwDqNgNyCvlMIIg5FIxyBTxwIED8dZbb8HX1xfz5s3L2j3L4WLw9u3b8PPSRtNFPIjFvfsxKODuhGwPU2w8cVbppf2d0wSukDPh59S3hraYEh4EXN2jXQ/YCqx4RxOPFIaVugGeflbZXUEQBKuIwXbt2iEoKAh37twRc+lMoE9siY+Px/3wUPh4uuBmWDQu343M/mLwyu6EFJt7EcC/ibX3SBAyB6OAbxwBTi4FTi4Bru/XZihzWTUaaPoW0PYTOcqCIOQeaxmmMWXKSOZwdHREgQIFHqsbvJLd6wY5VWTuc5oQrNwTKNHI2nskCOYhvz/QZAQwbAPw5nGgw7hHn+88gHeVhO2CA4DtP8r0E0EQcqYYrF27Nu7du5fmB23atCmuX7+emf3KRXWDOcBeJvYBMG8QEHkLKFIF6PkbYJduC0tBsH3yFdeaT4auBt46pfkY6hxfCKz/VJt+MrkpsPU74M45a+6tIAiC+dLEHD935MgRY0QrLdtzZrGQshg8ffr0o8hgUbXucna2l2G67No+rei+/0zASWuMEYQcjadv4r8LVwBKtwQCtgE3j2nLxrFAkcpajWHDlxM3pgiCIGS3msE2bdqojte0kOO6YrPSa7B8Nk8TH50PHPhbS5n1mQoUKG3tPRIE68CGEi6Rd4EzK7QaQ/ps3joJhFwBmryRsG3kHcCtoDRYCYKQfcRgQEBAuh+4WLFiGdmfXCcGGxfI5mLw5hHtssVooFxba++NIFgf94JA7UHaQpuaM6s08eeojZ9UTOukGV8zYsjFt6YIQ0EQbFsMlixZMuv3JBeKQXZn61NI2FEcHRMHF0d7ZCvajwXKtgVKmoz6EgRBwzU/UPOZxEcj9Dpw7zIQ90BrOOGSr+QjYdgTKFpbhKEgCBZFqvytHBmknYy7kz2Ygb8eEoVsCeuk7NNccSAIuRuasY++ADw1FajUHXBwBUIuAzt/Av5sDaz5wNp7KAhCLkPEoJXFIOsri2e3GcVX9gCz+2kRDkEQ0o9zXqBqH6DfDE0Y9v1H+5tzvPnjSodNKKve0zw84+PlSAuCkCVIOMcKcLSfLgZJyYJuOH0zPHvUDcZEAUteBe6eA/L6At0mWHuPBCF7w+57vXaQ/7/sTL6Wjy0A9kzSFg8foHL3Rz6eDbVxeoIgCGZAxKCVI4NE9xrMFvYym8dpQpAnJpm8IAjmxbTJhJRtA4TfBM6sBCJuAnv/0BYPb61zufVHgGs+eRcEQbBsmvjq1au4du2a8e+9e/fizTffxB9//JG5PcmFYjAsLAzR0dHwL6T58l26Gwmb5toBYOfP2vWuP2rF8YIgZB2lmgO9fwdGnQeemQfUHKh5FUYEAScWA04eCdvevQDExcq7IQhC1kcGn3nmGbz00kt47rnncPPmTTWzuEqVKpg1a5b6++OPP07/XuQyvLy84OzsrIy52VFc6pEYDLhjw2IwLkZLDxvigWpPAxVNJi8IgpC1ODgD5TtoS+wEIGArcP9OQuMW6wn/7grERgOVumop51ItAHtHeWcEQTB/ZPD48eOoX7++uj5v3jxUrVoVO3fuVGLw779pPiw8CTaN+Pj4qOs3btwwikHWDMbE2WiR+O5JwO1TmlFux2+svTeCkHtxcNI8PWv0T1gXekWzqokKBg7+A8zsA3xXFlj8KnB2LRD70Jp7LAhCThODMTExKqpF1q9fj+7du6vrFStWVMJGSBu+vtooKx4z77wucHW0R1y8Adfu2aC9DKMOR+dq19t9rpnqCoJgO+T3B94+CwxaCtR9AXAvAkSHAIdnArOfBjZ8Zu09FAQhJ4lBpoQnT56Mbdu2Yd26dejYsaNaHxgYiIIFRSRkRAza2eUx1g0G3ImAzWFnB7y4XqsTrJHEQFcQBNuAKePSLYCu44G3TwPPrwDqDdOaTSp2Tdju8k5g4TDg9Aqte1kQhFxPumsGv/nmG/Tq1QvfffcdBg8ejBo1aqj1S5cuNaaPhSdjmiYmpQu549SNMFy8HYnWFW20y7HuUGvvhSAIaYG2M/5NtaXTt4lvOzYfODZPW9iAwjpE2tVwkpCT5mwgCELuIt1isGXLlrhz547qhM2fP6GblE0lbm7yRZKRyCCxySYSdiaeXAxU6SWeZoKQXWFk35Raz2lTT04uAcKuAccXaoujG1CuPdD9Z8DF01p7KwhCdplAYjAYcODAAfz+++8IDw9X65ycnEQM5jQxeGgGsPAF4J8efNOtvTeCIJgDzj7u+BUw8jjw4gag8euAVwkg5j4QeFCbjmJqJ/XABktXBEGwbmTw8uXLqk7wypUryhqF1jJ58+ZV6WP+zXpCIQNisLCNiUGeADZ9pV1nvVGePNbeI0EQzAn/Txerqy3tvgACDwGRdxL+r7MDeWYvIPaBlkKmXU35jhI1FIQcSLrF4BtvvIG6deviyJEjiRpGWEc4bNgwc+9frhGDrBlUf4dG4/7DWLg5WXk4DM2lI28BBUpLraAg5HQoABkxNCX0KuBWCAi+AJxeri32TkCZNpowrNBJpp8IQm5NE7OLeMyYMSotbIq/vz+uX79uzn3LFWKQI+ni4uKQz80J+d00g9hLd6w8lo7jr3b+pF1v84nmayYIQu6iYBng9QPA8B1A81FAwXJA3EPg7Cpg8XBg1y/W3kNBEKwlBuPj45V4SQpH1DFdLKR9JJ2dnZ06nrdv37atusHNX2v1Q8XqaREAQRByb8TQpyrQegzw2j7gld1Ai/eAwpW0DmSdM6s1o2saXt8PtuYeC4JgCTHYvn17TJgwIdE0jYiICHzyySfo3FlGlKUVe3t744zihCYSD+t7Dd67pDWO6AbTUisoCALhd0GRSkCr94FXd2siUef4AuD8emDp69rkk396AvunARHaD11BsCV+/fVXlc10cXFBgwYNsHfv3lQHbXz++ecoU6aM2p52eqtXr060DRtp33zzTZQsWRKurq5o3Lgx9u3b91jjLcf1MivIbdq2bYtz584h24rBH374ATt27EDlypURHR2tZhXrKWI2kQiZqBt81ERy0ZqRwYeRQNG6QOlWQMnG1tsPQRCyD4wWtv4I8KkGGOKAi5uA5W8CP5TXZiY/tHLpiyA8Yu7cuXjrrbdUAOvgwYNK3HXo0EGVbCUHy+LonPLzzz/j5MmTGD58uOqROHTokHGbF198UQ3hmDFjBo4dO6aCZhR7pqVz3377LX766SfVZLtnzx64u7ur56WOsgkMGSAmJsYwY8YMw6hRowwvv/yyYcqUKYb79+8bsitXr16lb4q6tCSdO3dWz/vnn3+qv1ccDTSUfHe5oeev2w1WJT7eYIgKte4+CIKQPblz3mDYNt5gmNzcYPjE02D4rXHi28+sNhhCA621d0IOI73n7/r16xteffVV499xcXEGPz8/w7hx45Ld3tfX1/DLL78kWte7d2/DwIED1XVqH3t7e8Py5csTbVO7dm3Dhx9+qK7Hx8cbfHx8DN99953x9pCQEIOzs7Nhzpw5BlsgQy2rDg4OePbZZ82vTHMZKXkNXrgVoULKTMFbBT6vmM4KgpDRxpOmI7WFZScRtxJbVs0bpNnVlGio1SRX6g54FZVjLWQKpmo5DEPH2dlZLaY8fPhQeSS///77xnWs3W/bti127dqV7OPSMo/pYVOY5t2+fbu6Hhsbq/ooUtsmICAAN2/eVM+j4+XlpVLUfN7+/fvD2qRbDHLsXHJQuPBglC1bFqVKlTLHvuVKMWiXBwiLjsXtiAcokjfxhytLCQ4ADs8CGr4CuBWw3PMKgpBzye+vLToRQYBPdeDaXuDKLm1Z/R5QrL4mDKv0BLyKWXOPhWwKS9dMYRr4008/TbSO09Mo3Ly9vROt9/b2xunTp5N9XKZyx48fj+bNm6u6wQ0bNuC///4zNtKycbZRo0b44osvUKlSJfVYc+bMUSKPeohQCOrPk/R59duynRjs2bOnEn6MXJmir+Nl06ZNsXjx4kTj6oQnzyd2cbRHiQJuuHT3Ps4HRVhWDG7/ETg4Hbh1Cug/S94uQRCyJmr44jog9Dpwaqk2Eu/Kbk0ccjHEA01GaNvyHCMNbEIaYT1f0aIJEeakUcGMMnHiROWhXLFiRaVvKAiHDBmCqVOnGrdhreDQoUPV87M5tHbt2hgwYICKQmYX0t1AwiLJevXqqcvQ0FC18DrDncuXL8fWrVtx9+5dvPPOO1mzxzk4MkjKFtHsec7ftmBHcXgQcGSOdr3Ra5Z7XkEQcidMCzd8GRi6GnjrFNDpO6BkE6By94RtjvwL/N5C+6EafNGaeytkAxih8/T0NC7JicFChQopsRYUFJRofVBQkDE4k5TChQur4FZkZKSawMYIooeHB0qXLm3chgJxy5Ytylnl6tWrqjuZXcj6Nvpjp+d5bV4McgIJQ6Zt2rRRB58Lr3/33XcYNWoUmjRpoqxnKBCF9IvBct6avcy5IAuKwT2TNTNZpmpYxyMIgmApPH2BBi8BQ1YmTikzanjjMLD+U+CnWsDkpsDW74E75+W9ETIEh2XUqVNHpXp16PW7YcMGlepNDZbBMfLHGsGFCxeiR4/HPXjZIczz+r1797BmzRrjNiydo+gzfV7WN7Kr+EnPa7Ni8MKFC0p1J4XrLl7Ufr2VK1dO5eaF1PHz8zOKQT3tXq7IIzF4K9wyh+9BOLD/L+16kzckLSMIgm3Q/Weg6wSgdEsgjz1w8xiw8QvglzrApKZAjI1YcgjZCtrKTJkyBdOnT8epU6fw8ssvq6gfU79k0KBBiRpMKNhYI0h9wwlsHTt2VAJy9OjRxm0o/Og9yEYRBsJatWql0sr6YzK9TB/CsWPHqr4L2s/weagBWHqXXtavX68Cb3qtIqOQFq8ZpKpmBPCff/5R4VPCCRo8MEwfExopFi9ePNM7l9PhLwh+SNjhRPHM41n2kRg8f8tCkUFODIgOBQqWBSqIabggCDaCR2Gg7hBtibyrzUZmtDBgC+DsATia1FQfmgX41dJMsaXOUEiFfv36Kc1CA2g2b9SsWVMJOb2548qVK6rDWIc+gPQapBhkepjDNVgjmC9fPuM2LJejgOQktgIFCqBPnz748ssv4eiojZgl1EgUnS+99BJCQkJUbwWfN2kXclp49dVXlW8hI5WTJk3CZ599poRmZshDf5n03OHMmTMq9EkFrAs+5siZG1+yZAnKly+v8uts837uueeQHeAbyNfC11GsWDGLC0J+IGl+WatWLUQ+iEWVT9ao2w5+1A4F3LNwLnBcDDCxJhB2Deg2EajzfNY9lyAIgjnguDva1RSpqP1Nofh9Oc3sulB5rSuZo/K8q4gwzAVY8/xtLagVdNNrdjUzSrh7927LRgYrVKigunbWrl2Ls2fPGte1a9fOqKYzEvbMrfDDSzHIDzTfYHdnBxTN54rrIVEqOli/VBbavDyMAMq0Ai5uBqpb3+dIEAThidD6ytT+KjoEKNceuLABuHMW2PqdthQoownDms8AhcrJgRVyDLdv38b8+fOV9uLC7GJmyZDpNEUf8+ZchMyLwf379ysxaNpEQjHIusEsFYOu+YEev2gGsA7macMXBEGwuF3NM/9q5S5n1wAnFmtzkoMvANvHA/lLJohBftfZOfIkJm+SkG15++23VYr5+++/V93NNMbu27cvqlWrppaMBOQyJAaZ92YbNXPrSRXpiBGPPKKENKGHtROJwSIe2HzmtuXqBkUICoKQ3XHxAqr31RY2xlEYnlycuBb6wN9aR3LFLkClboB/M8AhC0txBCELGDlyZKK/WbZ3/PhxtSxYsMAyYpB5ahZQ3r9/X4lCFkuy+cHNzQ1FihQRMZhBMch6Bx2LNJEcng14VwV8q2fdcwiCIFgD57xAtae0xZTzG4DIW8CBadri7AVU6KgJwzJtACc3eb8Em4cNKxxnp0PrGi7dunXL8GM6ZESR8gknT56sdoZFi+yY4axiehAKmY8M6sbTWeY1yALs5SOB2Ghg+HbAp1rWPI8gCIIt0W8mcGkbcGoZcHqFJgyPztUWRhbfOSeZEsHm4XQ3Ns1UqVIFVatWValhXnIkX0Ynr6S7cOLw4cMqX826QTp5M1fNnWKb8wcffJChncjNJC8GtcjgzbBohEVn3j/oMQ7N1IQgRSCjg4IgCLkBpoTLtgG6TQDePg0MWa1NXcpXAijeILEQXDka2D9N61wWBBuC3oicpsIuYvoZcuwdLf8YHeTfFokMMgqodw0zLcy6QQ5nZpTQNNUppF8M6rOdvVwd4e3pjKCwByo6WKekGWc8x8cnmEzXGybWC4Ig5E7s7IGSjbSl/VitAUUn5Cqw93ftOrMonMzEVHLFrlpDiiBYkV9//VXpLRpOb968GR999JGa/KZ3GlskMkj7k3379qnrLVq0UMaNs2bNUu7aDFMK6UMfrB0VFaVG2OiU99ZTxWaeRBKwGbh3SUuJVHvavI8tCIKQHaFRtWuCiTAcXYE2nwB+tQEYgCu7gDUfABOrA5ObaWlmQbAizMj+8ccfauE0lU6dOinbP30YSJZHBr/66itlKE3osM2RKgxZcgTdX389ijgJaYbu4wz3sglHdy8nFX3yYtu5Ozh908xi8OAM7bJaXymWFgRBSA73QkCzt7Ql9JpWX0gBeHkHcPOoNstdJ+wGEB6oCUeZfiJYAI7R4wAQLrzOMcFs6D1x4oSqG7SIGKxbt67xOtPE9LoRMp8q1sVg9epad29FH23+86kbYeZtHOFIJ1LrWfM9riAIQk7FqxjQ4H/aEnkHOLMKKNsu4fbDM4GNYwHPYkClrloquUQjwD5Dzm2C8ETYOEKtQG9BzlpmqZ7p6DuLpIlbt26t5uolJSwsTN0mpB99rJ9pE0lFXy1NzMhgOicGpszd84BrAa1xxK+mvFWCIAjpjRjWfg5w0X6sK2KiAUd3baznnsnA9K7AD+WBJa9pXodxsXKMBbNCs+k6deqoEcCc/ta4cWMMGTIEP/zwA9as0cbZZrkYZLFicqNPOMx527ZtMDfXr19XtjUFCxaEq6uraqHmxA4dCiXWLXLGL29v27Ytzp07h5zQUWxvlwehUTGqq9gsFK8PjDwB9J9tnscTBEHI7bT5CBh9ARjwL1BzoDbZ6f5d4NAMYMEL2sxkHRGGQga5fPkyli1bhr1796poIMvy9uzZg6CgIMybNw+9e/dW2mzGjEelYOkkzXHso0ePGq+zSJHzdHU4KJnpYr0ZwlywoYKt061atcKqVatUYSSFHj12dGhp89NPP6kCSrZVs6umQ4cOah9Zj5ddxaCzgz3KFHbH2aAInL4RDl8vV/M8GVMXtFEQBEEQzAMbTip00hYKPtYWssYwj12CXQ0zPJObAHl9tFQyJ6N4mfecKeRM5syZg+effx4xMTHKcYSNvLomsrjpdM2aNdVOcEkuHcyo3M8//wxz8s0336gU6rRp04zr+IJNo4Jspx4zZgx69Oih1v3zzz/w9vbG4sWL0b9/f2RXMajXDVIMnroZhlYVi2TuSW6fAQqW1ewUBEEQhKyBP7hLt9AWU4IvArdPa8vFzcDKdwC/WkCFLtp4vCKVpAFFSJbPPvsMzzzzDN5//31lKfPuu+/ivffeM2vTbprTxJx9x44VCjCGKfm3vjCVy5rBoUOHwpwsXbpUNaw8/fTTqlmFanjKlCmJ9okRSqaGdeh32KBBA+zatSvFx6VRNvdXX/TuaFsaSZeobvBGJvcv9iHwV3vgx6raF5IgCIJgWQqWAV4/CLT7AijekH42QOAhYNNYYFIjYP2n8o4IyXLx4kV88sknKF++PNq0aYOZM2fi33//hTlJc2SwZEnNaDOepsUWPACTJk1S+XFON6G/4YgRI+Dk5ITBgwcbU9WMBJrCv03T2EkZN26cUtq2gi4GaeCtG0+TSo86ik/fzGRH8YUNQHSIlq7IJ4apgiAIVhOETUZoCyebsDOZtjWMFJZskrAdReK+P7V0cumWWhpayLXExsbCzS1hbjanjFCLUef4+PiY5Tky1PvOur1Nmzbh1q1bj4lDNnOYCz42I4P0NiSMDB4/flzNRaYYzCgMtVJg6jCymVFvHnNQooRWw3f//n3cvXtX+Q6aRgYv3I7Eg9g4VUeYIY4t0C6r9pE0sSAIgi3gUQSoM1hbHoQDDiY17icWa2NDuTi6AWVaa8KwfAfATfOiFXIX06dPVz0UtJTx8PCAg4OD0gzmIt1ikGlafS4eFakexSK8bk4xyA7hpCKNfjoLFy5U13VFzG4abqvDv1njmBIc5Gw6zJmpYmvCRhe+Fqp8dgzpYtDH00WNpmNH8flbEaji55X+B38QAZxZqV2v9pSZ91wQBEHINM7aD38jFH4xUVrUkJY19Iflkocj9BoDT03VxKSQK2jWrBnGjh2rSto4Dpi9E3RwYc0gy+QYNMubN8lnKKutZbhDnDxC4XL48GEcOnTIuBw8eBDmhCqYDtumnD171piy5gGhiNqwYUMiYcd260aNGiE7ob8mikFTcc1JJJmqG2QaIuY+UKD0o9FKgiAIgk1TvB7Q+Vtg5HHgpS1A89FAkSqaTc2tU4BbwYRt6WV485jWrSzkSLZs2YLQ0FClh1gv2KtXLzUOmGV0rCGkwwoDZRaNDNLuhQ0dlmDkyJHKTJFpYjpts3FFn8WniyXORKZA5Tg83VrGz88PPXv2RHbC399fidhLly4lWl/J1xN7AoJxJqMzio/N1y45h1hGJQmCIGQf+J3NAQFcWn8IBAdoTYC6KwTLtJay/vCmZhnGiCI7k9mgIhNQchzlypVTi6lTChtp6b3MgJxFxSCF4Nq1azF8+HBkNfXq1cOiRYtUjd/nn3+uxB6tZAYOHGjcZvTo0Wom30svvaQmozRt2lR5HmYXj8HUIoNEjwxmaCwdx8+xeYRUlRSxIAhCtqZAKW3ReRAKFKsLnN8AhFwBdv+mLZw0Va49UL0vULaNNfdYyGJ0j8HMBunSLQbLli2rom+7d+9W00CSzsNjt6856dq1q1pSgtFBCkUu2RlGBklykUFyIjAsUadxmqAT/tC1wKWtQOHy5t1hQRAEwbrwO77/LODhfeDiJq3GkKVBUcHA0X+18Xm6GKTFWEQQkE8bfyoImRKDTNGyk4U5bC6mUKiYWwzmFlKKDFbwyQsHuzwIjnyIG6HR8MuXDosBCsdidbRFEARByJk4uWnpYS6cgHJ1D3B2FVC5V8I2l7YBM3trs+nLP5qW4lsTsEt364CQA0m3GGR+WrBcZNDF0R7lvPOqNPGx66HpE4OCIAhC7oK1gv5NtMUUNp5wPB6bTbhs/RbI66vZ1XA0XqkWgGP2Kq8SzEeGfxJwIDI7W2iGKJgvMsiOIS6mVPV7lCq+nnh9qtCnaunrwJU98vYIgiDkdhq/BrxzHug5GajUHXDyAMJvAAf+Bmb3BYIvJGwbH2fNPRWyQ2SQJoevv/66MkDUrV5Kly6t1hUtWlTNyxPSj7u7u/IXvHPnjkoV01hSp2pRL8w/cE1FBtPMkTnA2dWAV3GgRAN5SwRBEHI77gWBmgO0JfaBljpmjWHQSaCIiafv4pe1zuUKHbWoYeGK4kZhJUwHZDyJ8ePHW04MsrP3yJEj2Lx5Mzp27GhcT+PDTz/9VMRgJqODFINMFScVg+R4YBo7iulmf2Gjdr1St8zskiAIgpAT4XjSsm21xRRGBc+tBaLuAdf2Ahs+B/L7J9QZ0vTaPnHjqJB1JLWMoZ8zM7IVKlQwBuTs7e1Rp07megPSLQYXL16MuXPnomHDhok6W6tUqYILF0zCzEKG6gYPHDjwWBNJZV9P2OUBboc/wK2waBTxfEJdB/8jxz0ECpbVftEJgiAIQlqgh+HLO7XMEqOGF7cA9y4BeyZpC2coD3k01UrIcjj61zTyx0kjzMzSaFr3fh4yZIiaUmLRmsHbt2+jSJHHx+DQ6y9dtidCinWDSZtIXJ3sUbaIh7qeplTxyaUJUUF5TwRBEIT04OkH1B0KDJwPvBsA9JsF1HwWcCsE+DdLPO50Ri9g9yQtrSxkKT/88APGjRtnFIKE1zl4g7dZVAxyBt6KFSuMf+sC8M8//8x2I+BstaM4aWSQVH00l/j49SekijnP8tw67bqkiAVBEITM4OQOVOoK9PwVeOcs0MTEPo7ehixJWv0e8FNN4NcGwLqPgcu7NIsbwaxw3C4DcknhOs4ttmiamKPhOnXqhJMnT6q89cSJE9X1nTt3PuY7KJgnMkiqFPXCf4euPzkyGLAViIkEPIvKLGJBEATBvClkikOdonWADuOAMyuByzuB26e1ZcdEzRC7z5+P1yQKGYYziZkSZhSwfv36ah3H2I4aNQq9e/e2bGSQ494OHz6shCAnkHA0HdPGu3btynQBY24nJa9BUu1RE8mJwCeIwdhooEAZzTtKUsSCIAhCVqaTG70CPL8cGH0ReGoqUK0v4JJPa0DhuUgwG5MnT1bBuGeeeUYFj7jwOpt5f/vtt0w9dh4DZ5zlcq5du4bixYvj6tWrKFasmNX2g2FeT0/NU5Beg/p1EvEgFlU/WaOu7x/TFoU8nFN/MNoGsFtMEARBECwJU8Q3jlhk+pWtnL8tCXs09IbdMmXKKGu6zJLuyODKlSuxZo0mSkzhulWrVmV6h3Iz7BLSm3OSdmZ7ODugdCH3tDeRiBAUBEEQrDUFRcagZhkUf7Sf42IOIZghMUhT6bi4x93JGWAUw+nMQ5VPkrPpqV5MSxUfuRqS/J1DrmrDyAVBEARByHFs27YNzz77rGrYvX79ulo3Y8YMbN++3bJi8Ny5c6hc2cSp/BEVK1bE+fPnM7UzQupisGbxfOrycEpi8L9hwLelErqJBUEQBEHIESxcuBAdOnSAq6urMqN+8OCBsayMzb0WFYNeXl64ePHiY+spBM0VrszN6GIwOWFds0R+Y2TwsVLP+8HA1T3AwwigsOZMLgiCIAhCzmDs2LGqiWTKlClwdEyYAtOkSRM1mcSiYrBHjx548803E0WuKFzefvttdO/ePVM7I6QeGazkmxdO9na4dz8Gl+/eT3wjvZ4M8UDhSkC+EnIoBUEQBCEHcebMGTRv3jzZIF1ISAoZw6wSg99++62KADItXKpUKbVUqlQJBQsWxPfff5+pnRFSF4PODvao7OeZfKqYo4NI+fZyGAVBEAQhh+Hj45Ns1pD1gqVLl7as6TQVKA2m161bhyNHjqjcNTtaklOrQsbFINvkWQ/g7JzYHqZWiXxKCHLpWauotjI+XosMknIiBgVBEAQhpzFs2DC88cYbmDp1qpr+FhgYqDye33nnHXz00UeWE4MxMTFK/NF0un379moRzAutZTw8PBAREaHMpytUqJBsE8mhK/cSVgYdB+7fBRzdgWKaK7kgCIIgCDmH9957D/Hx8WjTpg3u37+vgnAMGFEMvv7665ZLE7NgsUSJEslaywjmgWo/tSaSWsW1JpKTN8IQHROXMB+S+DcFHJzkrRAEQRCEHKgPPvzwQwQHB+P48ePYvXu3mkv8xRdfZPqx010zyB354IMP1M4Ilq8bLF7AFQXcnRATZ1CCUFG+E9DmY6D2c/KWCIIgCEIOpHXr1vjss8/g5OSkLP44n5iZxHv37qnbLFoz+Msvv6iIlZ+fn5qLl9ROJrPtzULqYpC/DJgq3nj6Fg5fCUFt2s0ULg8UflsOnSAIgiDkUDZv3oxjx44pj8FZs2YZ9dfDhw+xZcsWy0YGe/bsqfLT77//vhqQTKsZ00XIWjGYJvNpQRAEQRCS5ddff4W/vz9cXFzQoEED7N27N9Veic8//1ydl7l9jRo1sHr1I/eOR7B0jg0cdFdhXwW3ZerW1A/4+eefV8Ec06Vjx47pfofWr1+PmzdvomHDhqqvwFykOzL4ySefmO3JhcyJwUNX7wEnlwJxD4EyrQG3AnJIBUEQBCEF5s6di7feekuZN1MITpgwQU31oIcfGziTMmbMGMycOVMZPdNSb82aNejVq5dyValVq5ba5ptvvsGkSZMwffp0VKlSBfv378eQIUOU+8qIESOMj0XxN23aNOPfSd1C0oKvr6+KAvLx69Wrh/nz5yt7v8yS7sggobnhn3/+qaKDeu0g08P6nDzBPGKQk16Sa9apWSIf8uQBrgZHIWbL98DCF4Bza+WwC4IgCEIqjB8/Xlm0UEyx7o6i0M3NTdm1JAfn/rJPonPnzsrL7+WXX1bXf/jhB+M2FIbMjHbp0kVFHJ966inltpI04kjxR69AfcmfX2sITSuMJuqPM3v2bGUzQ4H522+/WV4MHj16FOXLl1dKmCbTuuv1f//9p8ShkHnYsc0CUdYB0G8wKZ4ujqjo44l8CIdD0FFtZemWcugFQRCEXEl4eDjCwsKMiz631xSeUw8cOIC2bdsa19nZ2am/6deXHHwcpodNYSqYRs86jRs3xoYNG3D27Fn1Nz2YeXunTp0eq/lj9JGWcRSVd+/eTddrTDqGllFL1g6aClOLiUGGV5n7PnfuXKIDRKW8devWTO+QANjb26Ns2bLqUDB0nRz1/POjsd0J5IFBG0GX10cOnSAIgpArYZSPaVl9GTdu3GPb3LlzR2XbvL29E6339vZWdXjJwRQyo4nUPPT448ANBr9u3LiRyP+vf//+Ko1MCz6mjzm2d+DAgcZtGMH7559/lGhkMI2pXorF9Fj1BQQEoFChQonW9enTR1nMpBTZzLKawX379uH3339/bH3RokVTPJhC+uEvh5MnT+L06dPqw5iUev4FELzvlPZHKZn+IgiCIOReeL6kDslMPV5yTJw4UaWVKfR0H2CmmE3F17x581SEjqlb1gxyMAfFIF1XBg8erLahWNSpVq2amtzGx2K0kCbSaYEOLslRtWpVtVhUDPIAMwSbFIZHCxcunKmdERLQJ4+kFBms658foXan1fWoog3hKgdPEARByKXkzZsXnp6eqW7DqBozb0FBQYnWBwUFqRq+5KCuWbx4MaKjo1ValwKPkUDTWcCjRo0yRgd1sXf58mUVndTFYFJ4f+4PrfpSE4PMxrIzmTYyvJ4ajGBaTAx2795dtVlTCRMq5StXruDdd99V4UrBMmLQ1zEKvnZaPeHhPJXRSA68IAiCIKQIa/Hr1KmjUrW0ySNM/W7YsAGvvfZaqkeOZXGMPNJqZuHChejbt6/xNo6GY+2hKRSdfOyUuHbtmhKX7A5ODXoK8jn1609qLrGYGGShIjtlWAQZFRWFFi1aqPRwo0aN8OWXX2ZqZ4QEGJJOTQziumbufS6+KHbdzING1eXoCYIgCEJqMLrGaF3dunXVBA9ay0RGRqrULxk0aJASfXrN4Z49e5RTSs2aNdXlp59+qkTe6NGjjY/ZrVs3pX/Y/Mk0MUUbo3RDhw5Vt0dERKjJIQyYMQJJ2zjen70ByZWBmbJp06Zkr5ubdItBFmaygJKdMuws5ousXbt2ou4cwXyRQX742CXFEHgiyrXFolbrMXX1bnhcuieHXBAEQRCeQL9+/dQ8348//lgFsijyVq9ebWwqYabTNMrH9DC7dmn1xtFvbJal3Uy+fJrfL/n555+V6fQrr7yCW7duqVTy//73P/UcepSQeok+hHRg4e20nmH611y1jZkljyFpr3IuhOHa4sWLKxuXYsWKwVZg9JUfWhpYMrSdlHNB4Wj341a4ONrh6Ccd4OSQIdtIQRAEQciW2Or521w8qU7QajWDhPn1H3/8EadOad2sdL9m54xEB80fHaQYZKo4OTFYtogH8rs54t79GJwIDEUtzikWBEEQBCFHcCiVOkGr1gzS6Zqu16wb5CWhxw1DpxSIr776aqZ2SEgsBpmOf6xu8OJmYOfPyFOpO+qUrIL1p4Kw/9I9EYOCIAiCkIPYlIV1gpkSg1999ZUSfaadN5y916RJE3WbiEELNJFc2AicX6+MpuuXaqrE4O6LdzGseUKruyAIgiAIOdNT8cqVK2qiimlkkI0sFhODLH6kk3ZSWAxJexnB/E0kNJ5OxOWd2mXJJmj0yI18b0AwYuPi4WAvdYOCIAiCkNO4ePEievXqhWPHjinxp7d86Cni9EwzSYpdRnwGFy1a9Nj6JUuWoGvXrhneESFlMUhDb6NfUUwUEPiohqBEI1T284SniwPCH8TiRODjZuCCIAiCIGR/3njjDZQqVUp1LLu5ueHEiRNqDDBtcjjJJDM4ZGT+H/10+MT0FtRrBnfs2IG3334bP/30U6L0sZBx+KY7ODgoP0d2TNHDCIGHgfhYwL0IkN8f9nnyoEHpglh3Mgg7L9xFjeIJ7e6CIAiCIOQMdu3ahY0bN6rJJbS/4dK0aVPliUi9ldZmE7OIwb/++gv58+dXOWsuOvTc4W06DFuKGMwcHHhNU0qmiXmslRi8tle7sXh9HmR1tXEZXQzewcsty2TyWQVBEARBsDWYBtY9hykIAwMDVQaRM4tTHFCRVWIwICAgU08opA8On6YYZDhY1WpeNRGDj2hcRqsbZEfxw9h48RsUBEEQhByoB44cOaKyhg0aNMC3336rRuz98ccfiWYlZwTpNsgGbz6hGFTYOwGObkCxBDFY3tsDBd2dEBUThyPXQqy1q4IgCIIgZBGchKL3D3z++ecqONesWTOsXLkyUYmexUynBcvBOYfk+PHj2oqnpwFxscYUsZ6Sb1imIFYcvYGd5++inn8BeYsEQRAEqxMTF4NTwadQvXB1a+9KtqeDyRxjvYQsODhYle5l1nRaIoPZKDJo7Ci2dwDs7BNtx7pBwrpBQRAEQbAW96LvYemFpXhr81toNrcZnlv1nFonmJ8CBQpkWggSiQzaOFT/rAm4f/8+Ll84h1LlNLuZpOh1g4euhCA6Jg4ujonFoiAIgiBkBfS7uxByAZuvbcaWq1tw5PYRGKB54JGCLgVxOewy8rvIyNTMEh0djaNHjyp7GWOAyMT6L6OIGLRxaC3DSSR8849PeAqlKjoDvSYDxeom2s6/oBt8PF1wMyxaNZI0LaeJQ0EQBEHIivTv/qD92HJtixKA1yKuJbq9Qv4KaFG8BVoWa4kqharALo8kIjPL6tWrMWjQINy583gGkNHBzJhOZ0gMbtu2Db///jsuXLiABQsWoGjRopgxY4bqcKHnjWD+VDHF4ImzF9CtsCPgUSTZD0KTsoWw8OA1bDt3W8SgIAiCkGU8s/IZnA5OmI7laOeI+r71lfhrUawFfD185eibmddffx1PP/00Pv74Y3h7e5v1sdMt1RcuXKiKGF1dXZXB4YMHD9T60NBQNZtYyMImkqBYwMMH8Cqe7HYtKhRWl1vO3pa3QRAEQcg00bHRmHp8KoavH46Y+Bjj+jredVDApQB6lu2JCS0nYHv/7ZjcdjL6V+wvQjCLCAoKwltvvWV2IZghMTh27FhMnjwZU6ZMUabIOk2aNMHBgwfNvX+CaRPJ7TgtPZxCsWizsoXUTadvhuNmaLQcO0EQBCFdUPBdCr2UKOI3/cR07Li+AweDEs7xr9d6HZv6bsIXTb5Am5Jt4EbLMyFLeeqppzI9ds5saWK6XDdv3vyx9V5eXggJEY+7rIwMnrodj1jvGim+afndnVC9WD4cuRqCreduo2/d5COIgiAIgqAT/jAc269vx6Yrm9Sli4ML1j+9XtX52dvZ48VqL8LBzgFl8iVMuHJ3dJcDaGF++eUXlSZmqV61atUSBeRIZqa+pVsM+vj44Pz58/D390+0fvv27Zl2wBaSh7WYro55EBVjwIVYbyTfT6zRonxhJQaZKhYxKAiCICTHjYgb2HR1k1r239yPWEOs8TYKv5uRN+Hn4af+fq7yc3IQbYA5c+Zg7dq1cHFxURFCU0uZzI4ATrcYHDZsGN544w1MnTpVPTln43F48jvvvIOPPvoowzsipIzdg1BUKZwH+wMNOHEHTxCDhfDThnPYfu4O4uINsLfLvP+QIAiCkP3tX87cO6OifxSANII2pbRXabQq3goti7dEtULVVERQsC0+/PBDfPbZZ3jvvfdgZ2fe7ux0i0HuBL1t2rRpo7zvmDJ2dnZWYpCdLkIWEBOFqhXLY3/gaRw5fRG9U9m0RrF88HRxQGhUjBpNV7uE+DoJgiDkVmLjY/Htvm+x+epm3Ii8YVyfB3lQq0gtJQBblWiFkp4lrbqfwpN5+PAh+vXrZ3YhmCExyGgg1emoUaNUujgiIgKVK1eGh4eH2XdOeISnH2p2Hw5sfFMNqU4NB3s7NCtXGCuO3cCWM7dFDAqCIOSy+r8zwWdQ16euMeVLP0AKQRd7FzTya6QEID0A2Q0sZB8GDx6MuXPn4oMPPrC+GBw6dCgmTpyIvHnzKhGoExkZqSKDTB8L5qdmzZrq8vDhw0/ctnn5QkoMsolkZLvy8nYIgiDkAq6GX0X3xd1hn8ce2/pvg6uDq1r/as1XYQc7NPRraFwnZD/i4uLw7bffYs2aNahevfpjDSTjx4+3nBicPn06vv76ayUGTYmKisI///wjYjArCDqJmtW0juLLly+rwdScR5gSzctrfoNsJLkX+VB1GQuCIAg5p/7v7L2zqvaP11+u+bJaX8yjGIq4FoGTvZNqECmdT2vqbFOijZX3WDAHx44dQ61atdT148ePJ7ots/OJ0ywGw8LC1IeOS3h4uOpmMVWrK1euRJEij0/GMCcUoe+//75qYJkwYYJxTt/bb7+Nf//9Vxlg0xD7t99+yxJTRqtwPxiY1AheDq4o5e+PgEuXVKq4VatWKd7F18sVFX3yKr/BTWduoXftYhbdZUEQBMH8/n/0+aMAZP3f9Yjran1ep7x4sfqLyg+QgmBu17nI55JPDn8OZNOmTVn22GkWg/ny5VMfNC7lyz+eeuR6drlkFfv27VMj8BgaNWXkyJFYsWIF5s+fr7wOX3vtNfTu3Rs7duxAjiDwUELdYC1NDDJVnJoYJO0qeysxuP5UkIhBQRCEbEjEwwhsD9T8/7Zd36bqAXVY/8e0b+virVWQRkeEYM4kJiYGHTt2VEM/ypUrZz0xSEXKD1zr1q3VSDrTNKWTkxNKliwJPz/Nk8jcsEll4MCBauoJJ6DocATeX3/9hdmzZ6v9ItOmTUOlSpWwe/duNGzYEDlGDPrVQs2aJbFo0aI01Q22reSNnzeeV00kD2Lj4OwgNgGCIAi2zp2oOyr6t+HKBuy5sUd1A+uw4YNzf9kAIvV/uQtHR0ccPXo0yx4/zWKwRYsW6jIgIADFixfPktbmlHj11VfRpUsXtG3bNpEYPHDggFLLXK9TsWJFlChRQnkf5jQxWMtZa/3nTOgnUa2oF4rkdcat8AfYczHYWEcoCIIg2CahD0LRdn5bxBnijOv8Pf2N9i/VC1UX/79czLPPPqsCYCyZMzfpbiBhBJDQY/DKlSvK98aUpGnczMJaQM48Zpo4KTdv3lRRSaawTWG9IG9LCdYWctFhDaTNcuORlYxvDdQsrk19OXXqlKqVNK3bTIqdXR60qeSNOXuvqFSxiEFBEATbigDOOzMPwdHBGNNwjFrn5eyF6oWr42HcQ9X0wUVvAhGE2NhY1aS7fv161KlTB+7u7tbrJr59+zaGDBmCVatWJXs7m0nMxdWrV1WzyLp161IVPull3LhxWVrfaDai7gGhV7XrPlVRzCWfSs+zm/jkyZOoXbt2qndvV7mIJgZPBuGz7lUy3W0kCIIgZIy4+DiEPQxDfhdtEEBUbBQmHZmkbGBer/W6EoJkSvspcLZ3lsMsPAY7iPXz/tmzZ63TTazz5ptvIiQkBHv27EHLli1VDVtQUJBK3/7www8wJ0wD37p1K5HoodjcunWrGthMrx1GJrk/ptFB7g9nKKcEO5Lfeust49/Xr19P5JloMwSd0C69SgCu+cG3mm3lGzZsUKniJ4nBxmUKwcXRDoGh0Th5IwxV/LQvG0EQBCHrYYSPdX+s/2MdYI3CNfBT65/UbcXzFsfASgNRsUBF1QmsI0JQsOluYp2NGzdiyZIlqFu3rqobZNq4Xbt28PT0VBE31vaZC468o6+OKYxKsi7w3XffVbWLLKqkOOrTp4+6/cyZMyp93ahRoxQfl+PzuJja5tgkXsWA1mMAky8Kmk/z9aalicTF0V5NI1l3MgjrT94SMSgIgpDFRMZEqs7fjZc3Yuv1repvneN3jquGEE4FIe/Vf0/eDyFdMPjFukGWi5EqVaqoYSB0U7GoGOSkEd1PMH/+/CptTKuZatWqqdo+c0Jj66pVqyZaxxx5wYIFjetfeOEFFeVj+pSClFNQKARzRPNIfn+g+ahEq3TDSUZN00K7St5KDK47dRNvtDV/O7ogCEJuh3V/9P5jBHB34G48jE+opS/sWhitS7RWSz3vekYhKAjpZf/+/cpL2dXVFfXr1zfWCX755ZdYu3btE7OFqZHuT2WFChVU9M3f3x81atRQ3n+8Tu8bX19fWJoff/xRRSgZGTQ1nc6p1KtXT10yTcxO6qTjaJLSulIR2OUBjl8Pw9Xg+yhewM1CeyoIgpCzPQAXnV+kBOChW4cQb4g33lbSs6QSf2wAqVaoGuzyWM59Q8i5jBw5Et27d1c2ew4ODsamkhdffFGV8LGELqPkMZi6VaaBmTNnqid//vnnVXSKJohsaGBX799//41+/fohu3Ht2jWVcmbDSrFiNjKtIy4WOLsK8K6qRQgfFYfGx8erKCg9FhmJ1SOFqdH/j13YfTEYH3auhGHNpTNNEAQhvfBUyQYQvdGDBtDN5zY3+gBWKlDJ2AFcJl8ZadjLzefvLIIRQQaCWCpnChtKWbpHlxeLRQbpc6PD1mbOyj19+rTy9itUqFCGd0RIwt1zwNxnAScP4L2rRjHIKCijg2wtp91OWsRgl2q+SgyuOHZDxKAgCEI6OXb7GN7f/j7yOubFnK5zjGPgBlUeZEwD+3lkzdAFQdBhKRx7IpKKQQphltVlhnTHrj///PNE6tPNzU3lqVnLx9sEM3Hz0RDqIpWpAJNNFe/duzdND9Whqo/SkoevhuB6SJS8RYIgCCnAdC9nAHPR8fXwxZWwKzgXck4ZQ+uMrDMSz1Z+VoSgYBGYeWWfxNy5c5UA5EIvZqaJBwwYkKnHTndkkP58w4cPVyLQFApE3vbxxx9naoeERwQ96qL2SdxAQ/TC0eSMuJOjSF4X1PMvgL0BwVh17AZebCapYkEQBB2mevcH7cf6y+tVDSANoev71MdfHf5StxdyLYTf2/2uDKHdHRMb/QqCpfj+++9V+cGgQYNUuR5h38DLL7+c6akkDhmpm0jO3PDIkSOJ5hULZooMsmYwCXpkkAaU7O5O6kKeHJ2r+igxuFLEoCAIAmLiYrD7xm6sv7IeG69sRMiDEONRYTrY191XRQn15o9GfinblQmCJWBvxsSJE5WN3/nz55UWK1OmzGPBuSwVg7SR4RNzoZWMqSCkEXRERISKGApmIuiRGPSp9thNRYsWhZ+fHwIDA1UxadOmTZ/4cJ2q+eLTZSdx8EoIboRGwdfLVd4qQRByFdGx0dgRuENFALdc3YLwmIRRpPmc86nav7Yl2qKhb0M42qfu1CAI1oLiz9yjf9MsBidMmKCigjQ3ZDrY1OCQapX2MqkZPQvpIOI2EBHEZm+tZjAZGB2k+TdTxWkRg96eLqhbMj/2X76HVcduYmjTUvKWCIKQK7h9/za+3vu1MoPmGDgdpn/Z/duuZDvU8a4jHoCCTcLG0SeNm+Pteuo4S8Xg4MGD1WWpUqXQpEkTo8eNkAXcOqld0lLG2SPZTVg3SDGY1iYS0rmarxKD7CoWMSgIQk6FTR43Im+oUW/E09kT269vV0KQ6V9dANYsUlM8AAWbh2N/U2LXrl346aeflO1cZki3omP7MsegcOIIoSCZNm2amu376aefqiihkEm8qwBPTQXi41LcRK8bTGsTiS4Gv1hxEgcu38OVu/dRoqAYUAuCkLPgLODh64ajuGdxLO251Djv9+NGHysz6CoFq4gHoJCt6NGjx2PrOPzjvffew7JlyzBw4MBMu7mk21rmf//7H86ePauuX7x4UbU6M389f/58jB49OlM7IzzCvRBQtQ9QvW+Kh4QGk+TChQtqJGBa8PFyQeMyBdX1JYevy+EWBCFbExQZhNmnZmNVwCrjOl3s2eexT2QD06V0F1QtVFWEoJCtCQwMxLBhw1RAjmnhw4cPY/r06ShZsqRlxSCFYM2aNdV1CsAWLVpg9uzZavrIwoULM7UzQtphQw+jsWTnzp1pvl/PmkXV5eLD11UNqCAIQnbiRsQNTD8xHc+ufBZtF7TFuL3j8PeJv423ezh5YHWf1VjUY5FxWoggZHdCQ0Px7rvvomzZsjhx4gQ2bNigooJVqz7uOGIRMUgBoeemOQWjc+fO6jrHwdy5c8csO5WroUDbPRk4tx6ITRh2nhys3SQ7duxI88N3rOoDZwc7XLgdqeYVC4Ig2DqBEYFKAA5cMRDtF7bH9/u/x5HbR9RtNQrXQOdSnRP9uC3iVsSKeysI5uXbb79F6dKlsXz5csyZM0cFgJo1a2bW50i3GGR6cuzYsZgxYwa2bNmCLl26qPUBAQHw9vY2687lSiJuAavfBWY/DRhSrhnMqBjM6+KIdpW192nRIUkVC4Jg+wKww8IOSgAevXMUeZAHtYvUxnv138P6p9ZjZueZGFxlsKR/hTTz66+/KgcUFxcXNGjQINVGzJiYGFWPRz8/bl+jRg2sXr060Ta01/voo49Ugy3nB3PbL774ItEPFF7nUA5fX1+1Tdu2bXHu3Lk07S9rA6Ojo1VUkCnh3r17J7tYtIGEFjMsVly8eDE+/PBDtXNkwYIFaNy4caZ2RqAHwqmETmJH1zSJwf3796sPCj+oaaFXraJYfvQGlh4JxAedK8LBPt2/CQRBELKEm5E38dbmt3DszqMpTMpkKw9qe9dG+5Lt0bZkW4n8CRmGo9zeeustTJ48WQlBapoOHTqohowiRR6PKI8ZMwYzZ87ElClT1EzgNWvWoFevXio6V6tWLbXNN998g0mTJimhVqVKFXVOHjJkiLLgGzFihDG6x65fbkPRSPHI5z158uQTz92cOPIka5nMksdgpsIxihF7e3s1GiW7ce3aNZXm5py/YsWKWXdnmCJmZLBCF2DA7FQ35Vvn4+ODW7duYfv27UZx+CRi4uJR/8v1uHc/BtOH1keL8oXNtPOCIAjp43rEdVwLv4YGvg2Mo+HazG+De9H3lPdfe//2ygi6sJt8TwmZP39TANKN45dfflF/s+ytePHieP3111UELikc8MDA16uvvmpc16dPHxXdo0gkXbt2VZnRv/76K9lteK7m47z99tt45513jDWAvA/7Lfr372/1t9ZsISEq2+woBG02MlhE88dKDf5SyEiq2NHeDt1q+Knriw5ey+ieCoIgZIp9N/eh48KO+GDbB2r0G3Gwc8D3Lb7Hhqc3YFrHaRhQcYAIQeGJhIeHIywszLg8ePDgsW0ePnyIAwcOqBStqaFz27ZtlV9fcvBxkkbuKPIYgNFhVpQNHbrTCsfz8vZOnToZy+hu3ryZ6HkZNaQwTel5LY3kB22N22e0y8JPFoMkI2KQ9K6t/YJadfwmQqNi0ruXgiAI6YLRv6nHp2LemXnGdWz+8HTyREmvkioSqFPPp54IQCFd0F2DAktfOL83KWxyZX1f0v4Gb29vJdaSg6nc8ePHq/o+RhHXrVuH//77Dzdu3DBuw4gio3tMIzMoxvTxm2++qUrqiP7Y6XleSyNjRGwJZuxvnUqXGNTrNFm/wFB0WusKahTzQgXvvDgTFK5qB59rmDmPIkEQhOQE4NrLa7H20lqcuHtCrSuRtwSeLv+0+q5ysnfCuqfWwc1RDPCFzMHau6JFNes04uzsbJZDOnHiROXrR6HHzyybQ1gPOHXqVOM28+bNw6xZs5TNHmsG6f1HMcjUsD69zdYRMWhLcB5xdAiQxw4oVC5Nd6ldu7b60PMXD3+5lC9fPk3344e6X73i+Hz5Sczdd0XEoCAIZuFq+FUl/igCT949mZCGymOHet71VA1gnCEODnm0048IQcEccDqap6dnqtsUKlRI9TYEBQUlWh8UFKTq75OjcOHCqmGWfRF3795VAo+RQFq96IwaNcoYHSQ0hL58+bKKTlIM6o/N52E3senz6r7N2S5NzBbr+/fvP7Y+Kioq0+NQcj1uBYGXNgNP//3ETmIdCkF9NN22bdvSdQjZVexkb6f8Bo9fT3DqFwRBSA9Xw67iz2N/ou+yvuj8X2dMODhBCUEKwAY+DfBRw4+w8emN+LPDn+hboa+qCxQES8NxuXXq1FH1fTpM/W7YsAGNGjVK9b6sG2TkkVM/OGDDdEQcNRFrD02h6NQ9mdk9TEFo+rysa9yzZ88Tn9dSpPt/5GeffYbhw4erEXSm8GDwNvroCBnE3hHwq6Ut6YBTYFisunnzZrzwwgtpvl9+dye0r+KtbGbm7b+KqkXFrV8QhLQTHB2s5gCfCj6VOALoU0/ZwLQp0QYFXbURmIJgC9BWhtE6eibXr19fWctERkaq1K9u40LRp9ccUrBdv35dRfB4+emnnyqRZzp+t1u3bvjyyy9RokQJlSY+dOiQqjMcOnSoMRPHtDE9msuVK2e0lmGUsWfPnsiWYjClujR2zxQoUMBc+yWkg1atWqkP4qZNm9JVN0j61yuhxCANqD/oXAkujvZy7AVBSHEW8IXQC2jsp9Uq53fOj7CHYUYB2MG/gxKABVzkXCDYJv369cPt27dV4IrNGxR5q1evNjZ3XLlyJVGUj+lheg1evHgRHh4eauoah27ky5fPuM3PP/+sxN0rr7yirN4o8v73v/8lCo5RPFJ0vvTSSwgJCUHTpk3V86bVHzirSbPPIGfhUmTQG4d5eVPBwe6ciIgIFTGks3d2w2Z8Bvf8rl1W6gZ4atYvaYEpen4w2TbP1nb+8kgr8fEGNP9uE67di8KP/WqgVy0r+ywKgmCTMO3bf3l/Nft3S98tcGQmA8DR20dRLG8xEYBC7j5/Z3PSHBlkKJW6kWFPpoPZum2ah+doF1vJfWdbdkwEwq5raeJ0iEF6HjVs2BBbt25V0cH0iEE7uzzoW7c4xq87i9l7rogYFARB2bysv7JepcP6VeynjkiF/BVQ2LUwiuYtijtRd+DroRXCVy9cXY6YIOQWMai3RzPXTW87BwcpADYrDyM1IUgKaiP+0psq1sUgw9DpgV3FP204h32X7uFkYBgq+6XekSUIQs6D6d6NVzZi9aXV2B24W3X8FnIthKfKPwV7O3u1LOu1TLp/BSEHku5uYua8TTtidDivb9WqVebar9zH3QvapWsBwK1AhsQg0esG04O3pws6VNVa32fsvpTu5xYEIXsSGROJ5ReX4/UNr6Pl3Jb4aMdH2HF9hxKCFQtUxMBKAxETn2BKLzYwgpAzSXd4j146X3/99WPrKUB4mz5+RUgnd89pl2n0F0wK08QsRKVv0enTp1GpUqV03f/5xv5Y8aiR5L2OleDlJqMFBSEnEhUbha3XtmLNpTXq8kFcwtiusvnKqiaQjv4d4e/lb9X9FATBhsUgjY059iUpdOc+f/68ufYr90YGM5Ai1v0GOY1k48aNKjqYXjFYt2R+VPL1xKkbYcpmZljzBENNQRCyPxR9H23/CJuvbVaCUKekZ0mjACyXP2M/RgVByGVpYjaOsMU6KRSC7u7u5tqv3Medc5kSg0lTxemF3eGDG2kj6Wbsvoy4+PSlmgVBsC1i4mISTQBxtndWtjAUgkU9imJo1aGY13UelvVchtdrvS5CUBByMekWg3TdpnnihQsXEgnBt99+G927dzf3/uW+NHEmxGDr1q3VJaODtPtJLz1qFoWniwOuBN/HlrO3MrwfgiBYl5uRN9FyXksMXjUY92MSJkaNqjcKszvPxqreqzCyzkhUKlgpXb6kgpARWEbG8WxCDhKD3377rYoAMi3MzmIuTEkWLFgQ33//fdbsZW7g2f+AF9YB/k0z/BB0U2fkNjg4GPv370/3/V2d7FVnMZm2QxpJBCE7EG+Ix8Ggg1h2YZlxnbebN/I554O7ozsCwgKM6xv6NkS1wtVEAAoWEYAcRkHDZuqFChUqqBFsQg6pGaTY2LlzJ9atW6feaHrcVa9eHc2bN8+aPcwtsIPYrX6mHoJ2P+3atcOCBQuUs3mDBg3S/RiDGvnjr+0B2HbujtjMCIINn2hPB5/GqoBVWHVplYoEejh6oL1/e5UOZrTvj/Z/wMfNR1nCCIKlPpfUBfPnz1cLewxM69oPHjyIli1bypthg2TILJBfNO3bt1cCkG+wpBlshw4dOigxSKufTz75JN33L17ADZ2q+arO4inbLuLHfjWzZD8FQUg/l0IvKQG4MmAlLoUlRO8ZAWxdojUiHkbA2dVZrWNdoCBYSgDOmzdPCUDTRlLqAzqMPP300+jatauaXibkEDFIR3rOwZ08ebKyMeH4s9KlS6u5fJxC8sILL2TNnuZkzq8Hzm8ASrcCyrfPtBjUh2szXZyRedH/a15aicFlRwIxqkMF+OVzzdQ+CYKQcRj1ow0MBaBpQ4iTnRNaFG+BzqU6o1mxZioiKAiWEoCHDx82RgBNBSAtzkwFYN68eeVNyYlicOzYsZg+fbqqHRw2bJhxfdWqVdXIOhGDGeDCJmD3b/wflmkxyBmNtP45efIk1q9fj759+6b7MaoXy4eGpQtg98VgTN0egDFdH7cSEgQha0+2C84twIqLK1Q9oAFad799Hns09GuoBGDr4q3VnGBBsNRn8tChQ0YBaNpESgHYuXNnJQC7dOkiAjA3iMF//vkHf/zxB9q0aYPhw4cb19eoUUOZHQuZ8RgsY5bD17FjRyUGmSrOiBgk/2tRRonBOXuv4PU25eDlKibUgpCVPIx7CCd7J3WdpTfLLyzHwVsH1d+1i9RGp1KdVE1gAZf0R/sFIaMCkHV+ugA0tZWjAKTw0wWgh4f8MMlVYvD69esoW7ZssunjmJiEsUVCOgi+aHYxOH78eNVEwv/MGanpbFm+MCp458WZoHDM2nMZr7TMuOWNIAipi8D3t72PHYE7sLL3SqPYe7bys2hZvKUyg/b18JVDKFhUALIGkPXnpgKQDaOmEUARgLlYDDIFuW3bNpQsqRkU6/BDU6tWLXPuW+4gPh6496gQPH8pszxks2bN1H/awMBAHD9+HNWqVUv3Y1BAcgrJO/OPYOr2SxjSuJSynhEEIXPExsfiQsgFVChQQf3NaODV8KtqTvC2a9vQo2wPtb5dyXZyqAWLCcADBw4YI4ABAQl2RDyXmEYAZbhEziTdYvDjjz/G4MGDVYSQ0cD//vsPZ86cUenj5cuXZ81e5mTCbwCcDWrnAHhpHn+ZheF7TiNZuXKlek8yIgZJ9xp++HHdWVwPiVLp4qFNzSNWBSFXdlzePqKaQNgMwq7fLf22GGv+aAbNjuBKBdI3RlIQMvOZpB8txR+DOaYC0M3NzSgAGQkUAZjzccjIBJJly5bh888/Vx8QisPatWurdfS4E9LJvUf/ASkE7TPk9JMsnAZDMbhkyRK8//77GXoMJwc7vNqqLD5YdAyTt1zAMw1KwMVRooOCkNaT7dl7ZzUvwIBVCIwMNN7m5eyF8yHnUbOIZt1Uz6eeHFTBYgJQTwFfunQpkQBk9y8FILuBRQDmLtKkPn766Se89NJLKuJ05coVNG3aVJlOC2bg3qMRPfn9zXo4u3Xrphp8aDFz48YN+PpmrOboqTrF8Oum8yo6+O/eK3i+iUQHBSE1roZdVRFACkDOAtZxdXBFmxJtVCNII79GcLSTpizBMgJw3759xghgcgKQjYYUgPxbyJ3kMfCTkobJFqw/K1KkCOzt7ZW44PWcwrVr15Qly9WrV1GsWDHLPjkPf+RtgPNDzSwIOYFk7969+P3335WYzygzd1/GmMXH4e3pjC2jWkl0UBCScDfqLlZfWo2VF1fi6J2jxvUUfM2KNkOn0p3QolgLJQgFIavhaZ3f/boANJ0LzIifaQQwuwtAq56/c1tk0M/PDwsXLlS1A/yQ8eBHR0cnu22JEiXMvY85G3b6emSNsGaqmF8IS5cuzZQYfLquFh28ERqNefuvqpF1giAk8PHOj7H12lZ13S6PHRr4NFARwDYl28DTSaYuCJYzgv73339VGtg0AkgByGwRBSDdJrK7ABSsFBmkr+Drr7+O2NjYFLfRLUzi4uKQ3cipvyz0TmKOBLpz506mbABm7LqEj5acgI+nCzaPainRQSHXsv36diy7sAxv1n7TaPmy/OJyzDo5C11Kd0HHUh1RyLWQtXdTyCXQU5YCcO7cuWoimKkAZEBAF4DsCs6J5NTzt02KQRIeHq5CzdWrV1eTLQoWLJjsdjSfzm5Y9cO0cJgWGWz2NuBmXjNZvrX0hKRPFCO7vXv3zvBjPYiNQ6vvNiMwNBofdK6Il5qbxxNRELIbQ1YPwf6g/UoMvlBNG7+ZUT9PQcgIHP9G8cfl2LFjxvWs62cKuH///iqTl1MFoCkiBs1DmttXOV+QI+emTZuGJk2aqGiTkEmiQoBj87TrLd8z++HkyYnd3z/++KPqKs6MGHR2sMfIduUxasFR/LrpAvrVLQEvNymAF3IuAaEBahwcrWCmdZxmjPb1rdAX5fKXQ5OiTYzbihAUsho2bzL9yyggPQF1HB0dVeSPApCpYJkFLGSEdHuZ0GMwJCQEM2bMULMJR40ahQIFCijHcm9vbxQtWjRDO5KrbWXcCwPOWTPMWxeDrBt8+PAhnJy0cVcZoXftYpiy7SLOBkVg0pYLeK9TRbPuqyBYm9v3b6su4BUBK3Dy7knjegrCgZUGquusBeQiCFnNzZs3VRMIBeDOnTuN69nIyZGwFIA9e/ZE/vz55c0QLCsGjx49irZt28LLy0sVqA4bNkyJQZpP85cLzaeFNBIcYNbJI8lBGyAfHx/1pcL0PlMHGcXeLg9Gd6iIF//Zj2k7AvB8Y3/4eLmYdX8FwdLQAHrDlQ0qCrjn5h7EG+LVevs89soCpmvprmhVvJW8MYJFYH03z6cUgFu2bFHDHfToc/PmzZUA7NOnDwoXLizviGA9MThy5Eg8//zz+PbbbxOFoykynnnmGfPtWW5AH0NXIOvEIH9BPvXUU/jll19UfUlmxCBpU6kI6vnnx75L9zBh/Vl83ae62fZVECxFTFyMagRhBHDz1c14wClAj6heuDq6lOqCDv4dUNA1+dpoQTAnoaGhWLx4sRKA/NFu2qzZsGFDJQDZCEJnD0GwCTFI93J2FyeF6WFGn4QMpImzMDJI+vXrp8Qgv2wePHiQqXpP/jplerjPpF3KZmZIk1Ko4JM1KW5ByAr+O/cfxh8Yj9AHocZ1/p7+qhOYIrC4p3nGQgpCakRGRqrJXRSAq1atUmU8Opzqxe9tmkH7+4uVl2CDYpBCIiws7LH1bGmXsHUG08RZGBkkjRs3VmKd86TXrFmj7AYyQ52SBdChijfWnAjC58tPYOYLDaSAXrBZzt87j7xOeeHt7q3+zu+cXwlBNoR09O+o0sCVC1aWz7CQ5dCfl8KPApBCMCoqynhb5cqVVQSQIrB8+fLybggWxS69d6CQ4FzimJgYY6SItYLvvvuuqmMQ0kH4DYtEBu3s7FSKgbAbzRx82Lmyml284/xdJQoFwRb5eu/X6LW0F+aemWtc17RoU/ze7nesf2o93q3/LqoUqiJCUMgyGPFbsWIFBg0apCZ30dWB38MUgrT+GjNmjLKHOXHiBD766CMRgkL2EIM//PADIiIi1IeaH+YWLVqoDzTrB7/88sus2cucymv7gXfOAX7asPqshL82CS1mTH+NZpQSBd3wUrPS6vqXK08iOib7mY0LOa8RZNG5RbgZmVCuUqNwDTjkcUDYw4RshqO9Ixr7NYa9nb2V9lTI6bDmj7V/bLBkAx+9/+jAQb9eetrShYMlV8yoffHFF8q2TRCyhel0UrZv3646iykMWd/ADuPsSm4wreTbzNoTRnE5q9IcUdz7D2PR+vstuBkWjXfal8drrcuZZV8FIa3ExsdiZ+BOLL+wHJuubkJ0XDRer/U6XqqujV9kY0hUTBTyueSTgypkKez63bFjh2rUox3MrVu3jLdRELL+jz/K2RDCbI1gHnLD+dsmawZNLUu4CNkDpvMHDBiAb775Rtn/mEMMujk54P3OFfHGv4eVEXWfOsXg65XzHe8F6/+wORV8So2EWxmwEsHRwYkaQUxHwTnbO6tFELLqs7hv3z7jNBDWZetwShedHCgAaQlDZwdByBGRQf7y+fvvv5UHEj0GKTBKlSqlPvDPPfdctq27scovi7NrgUP/AGVaA3WHWuQpT506pYqUHRwcEBgYaJaGH358np68C/sv30Onqj6Y9Gwds+yrICSF6V/OAGYU8ELoBeP6Ai4FVCNItzLdUKWg1P8JWQu/85gV0+cBBwQ8agQE4OnpqWoCKQBpCs3pIELWIpFBC0cG+R+AzSMrV65U84erVaum/UI/dUr5DlIg0rpESCOBh4BTywCmrywkBitVqoR69eqpX7KzZ8/GG2+8kenH5A+AL3pWRbeft2PV8ZtYe+Im2lfxMcv+CkJkTCTWXlqrROC+m/tggPbb1cnOCa1KtEK30t3QuGhjONrJSVfIWk6fPm0UgLyu4+7urs6N7ATu0KGDjGoVcrYYZERw69at2LBhA1q1SuzGv3HjRjUSh+lHdkwJaSD0inaZr4RFDxfHCVIMTp8+3SxikFTy9cSw5qUxafMFfLzkBBqVKYi8LnJyFjLP8TvH8fHOj41/1/WuqyKA7Uq2U3YxgpCVXLx40ZgCPnLkSCKLtS5duigByEs3Nzd5I4RsTZqrWOfMmYMPPvjgMSFIWrdujffeew+zZs0y686NGzdORbLYqczuZQrOM2fOPObb9Oqrr6r6DA8PD1ULFxSUDaxOQqwjBvnlxdTFoUOHlJ2BuXijTTmULOimmkl+WHvWbI8r5B4uhV7CN3u/weQjk43r6vnUQ0PfhhhRawTW9FmDaR2noXe53iIEhSxNO44fPx7169dHmTJl1HmPQpDfmxR+7Apmc8jChQuVZZcIQSFXiUHWSHTs2DHF2zt16pTol5M54FxGCr3du3dj3bp1ytuwffv2yrnddDwezTvZvcXtWQvHmg2bJ+Sqdull2WkHFM3dunVT1xkdNBcujvb4smc17XF3XcKhK/fM9thCzsW0ZPly2GXMPDUTc07PUV3CxC6PHaa0n4Jh1YfBz0NGcQlZAwMIv/76K5o1a6bqx99++22VQWHXL50y/vzzTzVha/ny5Xj22WdVbaAg5MoGEicnJ1y+fBm+vr7J3k4RxmYSjjvLKm7fvq0ihBR97M7iPEc2QbD+jU0shLUcrI3btWuXauG3yQJUDh4fWwSIjwHePGbx6ODSpUvRo0cPeHt7q9dsziLnt+Yexn+HrqO8tweWvtZUiURBSOoHuO7yOiy7uAw1C9fEiNoj1PqY+Bh8sesLtCnRRhlDiw+gkJUEBwerWnfWAW7atEk1SOpQFDKLwkwTvycF20UaSCxcMxgXF6e6UFOCbfOmw7WzAoo/UqBAAXV54MABFS009TisWLEiSpQokaoYpGA1Fa00ArUoETc1IZjHHshr+WgHo7j0veIvXZpQ60LaHIzpWhlbz93G2aAI/LjuLN7vXMlsjy1kXyj0dgXuUnYw9AOk/x+5Hn5d+QKyEYlNIJ83+dzauyrkYDhKld95FIBr165NdM5iWpgCkKlf8asTchvp6iZm1zALZ5MjKyOChL/a3nzzTTRp0sTo1k4xw4hlvnyJDWX5S463pVaL+Nlnn8FqRNwC6H3mUQSwz7DVY4ZhJPCFF15QE2MmT55sVjFYwN0J43pXx7B/9uOPbRfRtrI36vlr4l3IXfA74+TdkyoCuCpgVSI/wNJepVUjSJdSXbKtJZWQPWBZEcfBUQDSDcP0XFWzZk1lA0ND6NKltYlKgpAbcUhPF+qTyMpOYtYOHj9+XE0+ySzvv/8+3nrrLePfNAql/57F4Pi5MUFAdAisBcckffXVV6o7nCORzDkYvV1lbzxVpxgWHLiGt+cdwao3msHd2fKiV7AONyJuKCsYisCA0IBEfoCdS3VG1zJdUblAZRGBQpZBwbd69WolAFkWc//+/UTZI0YAKQJ5XRCEdIjBadOmWe14vfbaa6pwl9Y2puF7pjo5BDwkJCRRdJDFwLwtJRjdNI1wMnVgcRgNcc0Pa1GyZEnVGcfj+vvvv6uZ0+bk426VsevCXVwJvo8vV57CV7205hIh5xL6IBQjN49UfoA6nP7RunhrJQAb+TUSP0Ahy2DJEOcB0wZm0aJFib7XGfWj+KMIpEeuRKMFITEOtp5mev3119V/7M2bN6sGFVPq1KmjUp6Mbunj1Wg9w/m7jRo1stJeZx+GDx+uxCA9JMeOHQtXV/ONkvN0ccR3T1XHM3/uwew9V9CifGF0EDPqHEVcfBwuh19WKV/i6eSJ2/dvGy1haAhNP0APJw8r76mQU2EtOxsKKQBp9XL37l3jbQwcUAByqVu3rghAQciuYpCpYXYKs+CXXoN6HaCXl5cSLrxk7RtTvmwqYbs/xSOFYFo7ia3CqveAsGtAkzeBYnWtthu0CmKzDcUzrXnMneZvXLYQXmxaCn9uD8DoBUdRtagXiuaT2cU5gesR1zFo1SDcj7mPTX03wcXBRZ1s2QDi4+YDX4/kXQcEwRz142wQpADk95ZpfTjdJlj/RwHYuHFjZQ0jCMKTsen/KZMmTVIdxC1btlSWNvrCLwGdH3/8EV27dlWRQdrNMD1MuwCb5sJGbRTdwwir7gY7wF966SV1/aeffkrk+WYuRnesiBrFvBAaFYMRcw4hJi7BvkHIXingQ7cOGf/2dfeFQx4H5QNoOie4VpFaIgQFs8Pvpv3792PUqFHw9/dH06ZN8fPPPyshyEAAa6CZIaLFGdfzdhGCgpAO6DOY27l69SpVkLrMcuLjDYaxPgbDJ54Gw53zBmtz69Ytg4uLi3r9W7ZsyZLnuHI30lD1k9WGku8uN3y96lSWPIdgfmLiYgxbrm4xvLXpLUOtf2oZms1pZngY+9B4+/l75w0PYh/IoReyhPj4eMPRo0cNH374oaFMmTLqO0pf8ubNaxg0aJBh5cqVhocPEz6TQu4jI+fvX375xVCyZEmDs7OzoX79+oY9e/akuC0/X5999pmhdOnSavvq1asbVq1alWgbPpbp51NfXnnlFeM2LVq0eOz2//3vfwZbwabTxDmSqHtAzKPONi8LGFw/AZp2s1NcbyJhdNXcFC/ghm/6VMcrsw6q+cX1SxVAqwpFzP48gnk4E3wGSy8sxYqLK3A3OqEGq4hbEQTdD0KxvNrntky+MnLIBbNDdwN2ATMDdPLkSeN6jn3j9CQ2gbDExcXFRY6+kG74uWJpGW3VGjRogAkTJqBDhw6q34BlBkkZM2YMZs6ciSlTpqju8zVr1qBXr17YuXMnatWqpbbhtBrWr+rQ+aRdu3bKs9IURrA//zzBS9WWRhmmeQJJTsaiDuY3jwGTmwLuhYFR52EL6FNbWPPF6+a0mTHlo8XHMWP3ZXi6OKjpJP6F3LPkeYT0czfqLlYGrFQi8HTw6UR2MF1Kd0GPMj1QoUAFObRClnDp0iV1kubCuek69JHt3LmzEoAsB3J3l+8MIXPnbwrAevXq4ZdffjHWoBYvXlz1G7z33nuPbe/n54cPP/xQ9TDosCyNfQsUiclBT2Q2Z547d87YuMRyN/paUnzaIhIZtDRhgdqlp+3MWeWvHX7R8sPLD+pvv/2WJc8zpmslHA8MxaErIXhpxn7890oTeIj/oNV4GPcQW69txZILS7D92nbEGrRpDJwE0rJ4S3Qv0x1NijYROxghS6C/KxtAGAXcs2ePcT0nXTGqQgHIsZlsFBSEJ8FJYqZ2Qkkt5Ait6Di5jF7DOvr86V27dqXoWZk0Ck0hmJLnMZ+DIpHRx6QWRrNmzVK3sbeBUe6PPvrIZqKDIgYtTdh17dKzKGwJfnB1m5kvvvgCBQsWNPtzODvYY/KzddDt5+1qXN3b8w5j0sA6sLOTCRTW4JX1r2DPzYSTcNWCVdG9bHd08u+EfC6Jp/oIgjm4deuWsoChANy2bZuxaY0nZEZOKAB79+6dJd8/Qs4m6eCITz75BJ9++mmidXfu3FHp3KTzpr29vVVWLDmYQh4/frwqoSpTpoxqVGKTqmla2JTFixcr72NObDPlmWeeUf6+jDQePXoU7777rkpN20rDq4hBS/MwUhtFZ0ORQcIv4tq1a+PgwYOYOHFioroGc+Lt6YLJz9VB/993Y82JIPyy6TxGtCmXJc8lJHDr/i1VA/h0+aeNvn+M/nFCCA2hGQWUGkAhK7h3757yiqUA3LhxY6KTKLt+aQPDkZipDQoQhCfB+tKiRROCLCmNzk0vEydOVLV+zKAx0kdBOGTIEEydOjXZ7f/66y906tRJiT5TdOcOQuNzOqO0adMGFy5cUI9pbUQMWprGrwONXgNis3aWc3rhh/yDDz5QX8q0mWGkMOnMZ3NRu0R+jO1ZFaMXHsX4dWdRurA7ula3LXGc0/jfuv/hfMh55HPOh17leql1T1d4GgMqDoC9nb21d0/IgSk7joGjAGTBPaeD6LBeS58HzFotQTAH9CKm13BqFCpUSFmqcUqZKUGpTC1jkyWjfdHR0crUnCKPtYXJzbK+fPmymoKTlmgfaxfJ+fPnbUIM2rTPYI6FdQSOttcJxw6pKlWqKG9HenVlJX3rFcfQJtpEmbfmHsHegOAsfb7cAtNu9AMcu3ssomKjjOu7lu6qPAALuhZMNCpOhKBgLjj/d8GCBeoHJbsyn332WVV6QiFYvXp1fPnll+rEt3fvXrz99tsiBAWLw4YkTi5jqleHDSQbNmx44tQy1g0y8hgbG6tKHVjPmtzYXn72Oer1SRw+fFhdMkJoC0g3saW7iW0c/pIfMGAA8ufPrzr8nvRLKzPExRvwyqwDKl3s5eqI/15pjDKFZXRZRgiMCMSyC8uw7OIyXA67rNZ93exr1Qmsi0SZxyqYGxbXr127Vn1vcFJUZGSk8bYKFSqoGkBGAelWIAi2cP5mx7pup1a/fn3VNDlv3jxVM8jaQU7iougbN26c2p7NTWx2YicwL1mHGBAQoEqqTLNnFJUcmcvz59dff53oOZkK5jQ1dsazHpY1gyNHjlT7y3GKtoCkiS0Ji6X/7gK4FQC6TgTcba9Imr5I/LCzsPXXX39N1HVlbuzt8mBCv1p45s/dqsP4+Wl78d/LTVA4r3lqPXI6HAW37vI6ZQez9+Ze43pXB1c1E7iUV8IsbxGCgrlgpI+1fzypMh3GTIIOp4PoArBGjRryuRNsDn42b9++jY8//lhNsKHIW716tbGphONZTafXMD1Mr8GLFy/Cw8NDCboZM2Y8VkbF9DDvO3To0GQjkrydwpM/mCheaU/Dx7UVJDJoychgVAjwTUnt+geBgJNtembxg85fR/wFw/8AWRkdJHcjHqD3pJ24fPc+Kvt6Ys5LDVWkUHiceEM89t/cr+xgKARNU8H1feqjR9keaFuiLdwcbcOuQMgZsOmD3b8UgEwFsytThzVUPMFyYaRFfngIlkQye+ZBIoPW8BikbYeNCkHCMPfYsWPVJIDvv/8+yzqLdQp6OOPvIfXx9OSdOHkjDEOm7cWMFxrAXTwIjVwLv4ZF5xdh+YXlCIx89DkCUCJvCdUJ3K1MN/h5SBOOYD5YWrB7924lAJlGu3HjRqKiemYRKABlDrAgZH9EDFpDDNrAGLrUoOkr6yUYxuaIuldeeSXLbR9KFXJXArD/H7tx8EoIhv2zH1OfrwcXR+l0JXtu7MEfR/9Q1z0cPdDBv4OKAtYsXFMiMYJ5G5AOHVI1gBSA7I7UYVqM3wlMA9OKit8TgiDkDOR/syUJt73pI6l1FrP1ncWzjAxm1VQSUyr5emL60PoYOGU3dl64q2YZ06TaySF3Nb0fvnUYs0/NRl2fuuhboa9a196/PTZf3YzOpTujVfFWcHGwvW50Ifty4sQJ4zxgjtDSYY1Uz549lQDkVBDWPgmCkPPIXWdZa2ODo+hSgnU/33zzjbrOAd2mJ4ispGbxfPjr+XpwdrDDxtO38PLMA4iOSd7pPSdhOiL8xN0TWHVpFRacXWBcl9cpL35u8zM6leokQlAwC/w/zXIQGuBWrVpVXec6jtpiCpj2GZwYwhpiWmWIEBSEnItEBi2JjY6iS4kWLVqok8CKFStUVzELxy1Bw9IFMWVQXZUq3nD6lrr847m6cHXKWSnjkOgQrAxYqbqBnyr/lFpI51KdlT1MjzKP+1gJQmZg2pfpX0YAOaNVh0KvY8eOKgLImamMCAqCkHsQMWhJ4uNschRdatAvadWqVSpKQGNOjs+xBM3LF1ZNJS9M34dt5+4o2xnWEGb3ppKY+Bhsv7ZddQNvubYFsfGxar3LRRejGMzvkh8fNPjAynsq5BTY+DF//nwlAHfu3Glcz0kMTP2yCYSp4KyaOCQIgu0j1jKWbk1nOlCJwuwjakaMGKEmknAQOF3THR0tZ/ty4HIwnp+6D+EPYlG7RD4lCPO5Zb+6pdPBp7Hk/BIVCQyOTpi2UqlAJdUNzFrAAi4FrLqPQs6B1i/8Acc6QJra6mUILP9gxJ8RQDaDcDyXIGRnxFrGPIgYlA9TmgbNly9fXp1gxo8fr5zTLcnRayF47q+9CI2KQZnC7ipiWLyA7fvo3Ym6gxUXV6g08Nl7Z43rC7oUVOPhupftjvL5y1t1H4WcQ0hICBYtWqQigDS4pTegDkdtUQByVBx9AQUhpyBi0DyIGJQPU5r4888/MWzYMGVAzekkWW01k5SzQeF4fupeBIZGqwkl056vh6pFvWCL3Iy8iS92f4Ed13cgzqCdkB3tHFUXMO1gGvs1hoNd9okMC7ZLeHg4li5dqiKAa9asUdNBdDiDlSngvn37omTJR2b3gpDDEDFoHkQMWurDdO8SsGAoUKA00OdPZDc4d7Fhw4bYt2+fMqXmnEVLczM0WtUOnr4ZDncne0x6to6qLbQ2TMEx9VvQVRsvGB0bjVbzWiEiJgLVC1dXjSD0BfRytk3xKmQvOM6KTV2MAK5cuVKNy9JhV7A+DaRcuXJW3U9BsAQiBs2DiEFLfZgu7QD+7qyJwRGHkB3Zv3+/8h6kMFy2bBm6du1q8X0Ii47B8BkHlA8hZxuP6VIJzzf2t5rxMtO/72x5RwnCpT2XGvdj/eX1KJOvTKL5wIKQUSj42MhFAcj/e/fv3zfeVqFCBaMAZF2vIOQmRAyaB8lVWYqIm9qlh2XTq+akbt26ePvtt/Hdd99h+PDhyqjWy8uy0S5PF0dVM/jef0fx38Hr+GzZSZwMDMPYXlXh7JD11jOcBcw0sC7y/Nz9cCNCG9N1LeIaiuctrq63Ldk2y/dFyNk8fPgQa9euVQJwyZIlKiWsU7p0aaMArF69ukyhEQQhU4gYtBThQdplXm9kZz799FNVpH7+/HmMHj0av//+u8X3gRNJfni6Bir7euKrlacw/8A1nL8dgd+frYMinuafzMGo38FbB1UjyJpLa5Tgm99tvrrNw8kDv7X9TXUF87ogZAbW/G3cuFEJQP4/Y1OIDrMXrP9jIwjrAa0VDRcEIechYtBS5IDIIHFzc1PNJJxN+scff6hJBW3bWj4KxhPhi81Ko4JPXrw2+xAOXQlBl5+3Y2K/mmhc1jx2GdfCr2HZhWVKBDLqpxP+MFwZRudz0XzZ6vnUM8vzCbkTdv3S/oUCkHYwd+/eNd7m6+ur/o8xAsiaXTs7GRolCIL5ETFoKXJIZJDQp+zll1/GpEmTMHjwYBw9ehQFC2rNE5amWbnCWPJqE7w0Yz/OBkVg4F97MKJ1OYxoU07VFKaXyJhIrL20VgnA/UH7jevdHNzUfGA2g9T2rg27PHJSFjIO625pAM0uYE72CQp69P0AoHDhwsoChgKwadOmyhxaEAQhKxExaClySGRQh3WDTGfRZubFF1/Ef//9Z7W0lX8hdyx5tSk+W3YC/+67iokbzmFPwF1M7F8L3mlIG8fFx2HPzT1KAG64vAHRcVp3Zh7kQQPfBsoUuk2JNnBztH1vQ8F2YbnB3r17VQSQI+GuX380npJTZ/LnR+/evVUKmFF3Bwf5ahYEwXLIN46loK+cg0uOiAwSd3d3zJkzR3UXL168GFOmTMFLL71ktf3h3OKv+1RHozIF8cF/x7D7YjA6TtiKsT2roUt131RP0ANWDMCp4FPGdf6e/koAdivTDT7uOUO8C9aBn69Dhw4ZBeClS5eMt9Gzk2PgGAFkqQXnAwuCIFgDsZaxZGs6R0JxyUF1Pz/88APeeecduLq6Kg/CKlWqWHuXcPF2hKojPHkjTP3drYYfPu9eBfndnRD6IBQbrmxAz7I9janeb/Z+o6KCnUp1UiKwWqFqUpwvZEoAcmwj5wFzYbOV6Y+o7t27KwHYoUMHuLiYv+FJEHITYi1jHkQMyocp07VPnTp1UhYYNLmlILS03UxyPIyNx88bz+G3zRcQF29QU0u+7FkZXx4foAyi/2z/p0oBEwpEVwdXONlLZEbIRMf5wYNK/LEG8MKFC8bbKPi6dOmiUsCdO3dWTViCIJgHEYPmQdLEQqZgd+PMmTOVB+G5c+cwaNAgZYlh7a5HR/s86FwnHuEuZ7Btfy1cuBWJl2YcQrkq1VHG6zpi42ON28pkECGjAvDAgQNGAXjx4sVEApDCj53AFIJ58+aVgywIgs0iYtAS3DgCLHsT8KkGdP8JOQ12P9ISg52PnJP61VdfYcyYMVbZlztRd7Di4gosubAE5+6dU+v+6j8d6w97489tF3HuZFt4OLngbGE/NPQ1ZKjjWMjdApDRb10AmtYAslSCwo8CkELQw0N8JwVByB6IGLQEIVeAwINADrYjYWSQVjNDhw7Fxx9/rMZisTvSEjyIe4BNVzdh6fml2Bm4E3GGOLXe0c4RrYq3gpeLOz7oXAHda/hhzOLjOHw1RE0uWXjwGj7vURW1S+S3yH4K2bsLWBeAly9fNt7GlK+pAGRNoCAIQnZDxKAlCH9kK5M3Z3emDhkyRKXNfv31VwwcOBCbNm1SRrlZdYI+cvuIavxYfWm1MoLWqV64uvID7ODfIVEKuGpRL/z3cmPM2XcF36w6jePXw9D7t53oWt0X73asiOIFpJZLSPh87dmzxygAr1y5Yjw0FHycy00vQKkBFAQhJyBi0BJEPDKU9cgZtjKpMWHCBJU6W7FiBbp164bdu3ejTJkyZnt8zgFednGZmgxyKSwhRUcLmG6luyk7GH1ucHLY2eXBwAYl0b6yD75dfRoLDl7D8qM3sPZEEIY08ccrrcrCy9XRbPsrZK9mKH5eKQBZ9kB3AVMByM8zI4AdO3aUJhBBEHIUIgYtQS6JDBKa5XKqAqeUsLuSncbbtm2Dt7d5hPD8s/Mx5dgUdZ0dwG1LtEX3st1R36d+uqaCsLv4u6dr4Pkm/mq+8Y7zd/H71ouYt/8q/teiDAY1Kgk3J/nvkdOJjY3F1q1blWk6G58CAwONt7HmjzYwjABSALImUBAEISciZztLkIsig/pJdPny5SpFzA7jdu3aqZRxekfWHQg6gIVnF6JL6S5oUrSJWkcfwMO3D6vLdiXbwd0xczVaVfy8MPOFBth05ha+Wnka529F4OtVpzFl60UMb1EGzzYsqQythZxDdHQ01q1bpwQgG56Cg4ONt7HrlwKQEUDxARQEIbcgYtAS5KLIoI6vry/Wr1+P5s2b49ixY+rEyr/z5cv3xFotfawdzaGZEuZ4OF0M+nv5Y2qHqWbdVz5f64reaF6uMBYfDlT+hJfv3seXK0+paOHwFqXRv34JeDjLf5fsSlhYGFauXKmif7yMiIgw3laoUCH06NFDNTy1adMGzs7OVt1XQRAESyNnN4scZRfAwTXXRAZ1aEK9YcMGlTJmYwmL7VetWvWYKfXNyJtYGbASyy8uxzt130Fjv8ZqPZtAHsY9VHWAlsDB3g5P1SmGnjX98N+h60oUXg2OwtgVp9S8Y9Yasq4wLfOOBetz584dFfljBJCRwIcPHxpv46Qhir9evXopSySZBSwIQm5GJpBYysGcY+jUEc99vnYczdWqVSuEhISgdu3aWL16NdzyuWHd5XVYfmE59t7cCwO048P075dNv4QtEBMXj0UHr2Py1gu4eDvSaGbdo2ZRvNC0FCr5elp7F4Uk8P8wZ2VTALIWkE0hOuXLl1cCkAutkPQItCAI2ReZQGIeRAzKh8kiHDp0SKWKb9++jQIlCqDYW8UQny/hRF3Huw66lu6K9v7t4elkWyIrPt6Ajadv4Y+tF7H3UkJ9Wd2S+TGwYQl0quoLF0epK7QGLCs4ceKEigAuWbJE+QGaUqtWLaMArFSpkghAQchhiBg0DyIG5cOU5Sfrk3dPqtq/hTsW4sjYI4gJjoFjQUc0/qgxnmn1jGoQKepRFNmBQ1fu4c9tAVh94qaaeUzyuzni6brF8Uz9EvAvJKbDWU1MTIzqUKcA5BIQEGC8jdG+Jk2aKPHXs2dPlCqVss2QIAjZHxGD5kHEYFZ/mK7uA1aNBorWBrr8gNzE4VuH8dGOjxL5AbpFuOHitxdx58od1bk5d+5cZT+T3QgKi8bcfVcxZ+8V3AiNThQt7FW7KLpW84OXm/gVmguWGLC8gOKPDSChoaGJ5gC3bdtW+QCyE9jHJ/c0aglCbkfEoHmQBpKsJvTRKDrHnD/dgnOBwx6GobRXaaMR9OWwy3Cxd0GrEq1UGriRXyOE9gtFnz59VE0XJzmMHz8eI0aMyFYpPDaRjGhTDq+0LINNZ25j1p7L2Hr2NvZfvqeWz5aeROuKRZQwbFmhMJwdJI2cXmherkf/tmzZojwBTedh87PDLmAKQRkDJwiCkHFEDGY1Ebe1S/dCyMlwIsiYHWPQyLcRJrebbBSDv7T5BbWL1IaHk0ciKw92d7788suYOnUq3nzzTezfv1/NNqZHYXaCHcjtKnurhdHCJYev47+D13H6ZrhKJXPJ6+yA1pWKoFNVH7QoX0R8C1MgLi5OjYBj5I8CkJZEprDmj5E/Lg0aNIC9vQhsQRAEcyBiMKuJfCQGPYogpxAdG40t17bA280bNYvUNM4DjjfEIzImErHxsXCw0z5azYs1T/YxnJyc8Oeff6JKlSoYPXo0Zs6cqQThvHnzUK1aNWRHGC18qXkZtZy6EYZFh64rcRgU9gBLDgeqxcXRDi3LF0GnahSGhZHPzQm5GTYUMf1Ly6E1a9YkMoC2s7NDs2bNlPhjCphWRYIgCIL5kZrBrK45WDoCODj9/+3dCXRU5dkH8CeZrGRPyAokbAVkC2sUsLIEA24Haq3IpzYs2patn7hgq7JYtRQ9KkKxWD4KKpVCpIC1iggEFQoBiVADGCEgBBISErInZJnMd/7v5A4zSRAImcz2/3le7zr3XubmzjzzriKjnxcZOU8cVW19rezP2a/6A9x1dpdU1lVKYmyiLB291GLc4Gj/6Bs+NhoDTJ48Wc6fP6/qf73++uvym9/8RgUDjg4tkb/JLpZtGbnyacYFOVdUZdrm7iYyoFOwjOoZoQLDfh2C1NjJzgxdvSDoR/CHHMCDBw+qRkYadEqelJQk99xzj0o3OmoNEbkW1hlsHcwZtLaKAoctJkZOX3peunx6+lPZfma7FFcXm7bF+MVIj5AeFvu3JBAE5P6g65lf/vKXKpdo1qxZ8uGHH8rq1asdvjUogrvBcSEqPXf3LXI0p1S2ZVyQz4/lSWZemaSfLVbpjc+/lzA/L7mjR7gM7xYmt3UNk44hvg5Vj/JqkNu3fft2Ffzh/iI30NyAAQNUh+RoSIQhDNkBNBFR22LOoLV/WfzfnSLnDohMWidyS9uMpHEz9PV6Sc9PVx1C7zizQy5WXfniDvUJlXGdx8ndXe6W+PD4Vg9UkGv05z//WX7/+99LZWWlahTwxz/+UWbOnOmUAUJOcZVqdLI786LsOVkg5dVXGkhAh2BfubVLqAoMb+0aKrGh7RwiOKyurpZ9+/apeqFIGH3GvPNntCJH7h8CwPHjx0tMTIxNr5eIHBdzBlsHg0Fr/zGtvVck5xuRRzaJxN4m9iq/Ml/++t+/qgCw8HKhaX2AZ4CMiR2jAsCE6ARTXUBrysrKkmnTpqnWxoA6hMuWLZNRo0aJs8JoJ+lniuTLExdl/6lLciS7WOoa+jHURAZ6y8BOITIgNlgVL/fvGCTtvGwfJKOYNyMjwxT84b4hmDfXt29fU+4f+gH09GS3O0R08xgMtg4Gg205HJ0d5eqgkUdhVaFE+hnHSy6pLpFRG0ZJnaFOArwCZEynMWo0kNuibxMvXds3ckBO0jvvvCMvvPCCqVHBgw8+KK+88op0795dnF1lTZ0cOlMkaacuyf5ThXLkXLHU6i2DQ1Qv7BEZIANjgyW+Y7AaHq9nVECbjIaC+p07duxQwR+meXl5FtsjIyNVly933nmnJCYmWu+5IiKXxmCwdTAYdME/pgO5B+TpL56W2MBYWXf3OtP6946+J12CuqgA0FNnHzk3hYWFMn/+fBUYIkBEdyJTpkxR6+Li4sRVVNXo5b/niuVwtjF9c7ZYLpRe6ezaPEDsGu6vAsNbogOkd3SgSuEB3jdVxIw+/9DXn5ZOnTplsd3X11dGjhypgj8k5AQ6QpE2ETk2V/v+thYGg07+x4Qcvy/PfSkhPiFye4fbTUXCY1PGSrB3sHxy/ycWfQDaq8OHD8tzzz2nWqECihmTk5PlySefVP3PuaILJZflcHaRaq189HypHMstlUsVNc3uG+TrKd3C/aRbuL90i/A3TsP9VD1E9JXYuNgXwZ558HfmzBmLfdDSe/Dgwabgb9iwYeLt7W3Vfy8RkSt9f7clBoPW/GO6kCHy0WyRiD4iE1dIWzlffl5Sz6ZKanaqHMo7JHqDXuX2rUpaZdrn24vfSq+wXuLpbh85gNfrP//5jyxYsEB27txpWod6aHPnzlXFkc7QHU1LIYjLL6tWQSH6OTyWY5yeLqiQRtUPTTx1btIpyFP8y7KlJjdTCk9lyA/HvpGCvFyL/ZAjO3ToUJX7h4R6f4GBgW3zDyMiugoGg63D9rXPnVnpeWPjEbN+1KyhVl8rhy8elj3n98hX57+SE0UnLLZ3D+6uRgEx1y/cMTt2Hj58uKqjhr4JMYzd1q1bVW4hUteuXVURMnIMY2NjxdWgWBYdXyON7nmlk/PLtXoVEGZdLJes/Ao58l2WHE4/qIK+yuzjcjLvpIjesiWzuHuId3QPCekWL136DZV+gxOkc2SoRAX5iAT6SFaxXqIMVRLu790kZ5GIiBwLcwat+csi/X1jzmD3O0Ue+bDVc//2nt+rAsC03DTVCbTG3c1dBX+jO41WqVNgJ3FWJ0+eVC2N16xZI+Xl5aagaPTo0Wr844kTJ7ps1yXIKczJyZH09HRTQjcvaPzRWEBwqHTo0V8C43qLW2QPKQ/sLOX6a/9WRB1F1EeMCvKVqEBviQr0kfb+3hKmkpe09/eSMD/jvL+3B+sRElGrYs5g62AwaM0/pq/eENn5osiAh0Umvn3T/f/p3I2tRA9eOCjTPptmsR19AI6IGSEjOoxQ02CfYHElFRUVsmnTJlm7dq2kpqZabMM4thjSDK1bBw0a5JR9FtbU1MiJEyfk6NGjcuTIEVPwl5+f32RfFKX3799f1fPTUrdu3ZoEaiWVtZJdVCnZlyrVNLfkshp/WU2RyqpFf7Xy52Z4ebhLez8vU6AY6uel6jIiBWPazjgf5HtlPRJeR0TUWt/fK1askNdee00uXLgg8fHxsnz5cklISGh239raWlm8eLG8++676od0z549ZcmSJaqPVE3nzp2b1KsG9JGLc8Hly5flqaeekn/84x+qL9Zx48bJ22+/rXpesAdOEwzeyM1ts2Bw23Mi+1eIjPhfkTv/0KJDfHLqE3nnv++oxh/PDH3GNDbwyA0jpVdoL7UeASDmkSNIIqdPn5aUlBTZvHmz7N+/3+ItCQoKMtV7Qx24gQMHir+//Teg0aD/PjTuOH78uAr8kI4dOybff/+91NU1KuptqOvXu3dvFQRrCSN+tMa/GYFgYXm1atWsBYpo1IJGLAXlNVJYUS2F5ZivlsoafYvP085LZwoM/bw9VPL31omflzZvts67+XU+Hjrx9dKJt4c7cyeJnMiNfn9v2LBBjXa1cuVKlVGwdOlS9X2RmZkpERFXqtdonn32WVm3bp2sWrVKevXqpcZQR8NF1F/H9wdgVCW9/spnHPpdRcM6ZExo/ePOmDFD/v3vf6sMC3wPzZ49W/0w37t3r9gDpwgGb/TmtlkwuOlxkW83iiS9LDJ8TrO74O3Pq8yTk8UnJaMgQ6XH+j0mAyIGqO0YCm7el/PkltBbZON9G02vQ0Do4+HTetfqpFBMinqFGA5t9+7dUlx8ZUg9wMOI1sgIkjDFrz488Mgps0XrWAR7ubm56rrRnQsCP3TCjSkStl0NRvZA4IdOutHSF/8mzKPbF3voNxGBYWFFjQogMX+pskZKqmqluLJWSqtqjfNVxnXIlSyrrrNKdVsfT3fVF6Ovp05NjcndtIypt9kytnnpdOLp4SZeOneVU4mpZ8O8cYptOtUgR1vn3TD1bNhfe62Hzk083N0YlBK1ghv9/kaMgIwAjHYF6LKsU6dOMmfOHPnd737XZH9UM3r++efVMKkaVEHC5yqCxOY88cQT8vHHH6vSGpS4lJSUSHh4uHzwwQfywAMPqH2+++479Z2D0ZowDKetOUV5GRoSPP744zJ16lS1jKAQEfjf/va3Zm9um6m4KLk6nZS7G+TyxW+lqLpIdeuC4C+3PFdOl5yWrJIsqaitsHjZoMhBpmBwWPQwWTp6qQyOGGyxDwPB64MHGb/IkPDLDWMgoyUyHsCvv/5aZftrOWyNg8To6Gjp0KGDOgamWA4ODlataPHLDgk5bOjmBjlwKH5GwmtRbIuiAPNUVlYmRUVFKiA1nyI3G8EfUuNgtTk4LwLWPn36qIQAEFN8ENpr334YKaVdqId0Cm13QzmPZZeNQSJSaVWdGrKvoto41eaNy3rjfI35er2aRyBq3mH35dp6lYqlVmwJ9S093N1F524MDnUNQaJx2Wy9tk6HqbvZPubThvXYx81NHdvdzRhwon2PNq+tx9S4zXJf8+0YV9t8X20er2nuWO4N58I8/gq1v0XjfEPCfw1/ok22N2zTlhv2MlunHffKdrWmue1qTps3nsTy+JbbjYvNbG/mvjX3iGnnu9Z+0srHu6nXXue1yE0dz63JEJvWqvaBz9fS0lLTMn7MN/5Bj89l1JvGkKcafF6PHTtWfSc0B5/dPj6WGS8IBPfs2dPs/jgHgkTkHmr/fpwTxc04jwaf4WjoyGCwlbT05iKZ/xFZhYe3zIqOlBOZq0SQrkLnplMdQPcO6y392veTYTHDTNtQ9y8xNtE61+diELANGTJEJQ1y2vD3g34MkZOMX2uY4m8CgWJzjS2sDR80CD4R3CGHEgktpbX5kJAQcQUIOoLbeal0s+r09XK5DkGgXnXgXV2HKdYZl9X6Wr1U19arqbZsDBz1UqOvl9q6euNUXy81at7QzDrjFMsIQM3XNYbqltgmLS9BJ3Iou54aqTrFtwb8KDa3cOFCWbRokcW6goIClSnQuJ5eZGSk+uxvDur2IcPpjjvuUJ+/yEz45z//aVEsbG7Lli3qRz16ttDgB7+Xl5fKTGh8XmyzBw6fM9iSm4vKoC+++KL1L+5/NkjIZ9MltPiE+Oh8JdA7UCLaRUhku0iVMNpH16CuEhcYZzcjfrga5Pbde++9KlkU3eflqWIHBIPIscMUDy2y+5HwCxRTtGDG3x/q6yFhHgkPvvbLVEvIRUQghw8ETLV5/K0i91FLyHm01xw+R4Xub/yRvG3zkYe/KYw1jaAQU+R61tXXG6d6bbnRem1Zf5X1alrfzOsN6nwoYtcbDFLfMF9fj3kEocbtxm3S7PYryXjt9fXG9XptX4vXGrcbtxmvQcuHxb6Y12ojGZeNx2i8rFY13t7wWuNU26fhWI1f3+hczR1fO5Z2gKbHt7y267mvTdY12aeZ1zXZ62r7XXsfafGxrn3tzR3rel/X3ErkHlsL6k7jR7Smtar5vPXWW6rkETl5+FxGQIhSSJQ8Nmf16tWq71tH68XC4YPBlkAuIrJwNfiib/yrorWsHrfaKscl68EDHxUVpRLqlhC1xt8U6hOiDiERtT7Umb5WR/jt27dXJUSNx1LPy8tTn/fNQV0/5PahNTCGR0WQh+pnKK1pDC2K0Q8ucg7N4dgoxUSOoXnu4I+dt605/CdTS24ufjHgj0ZL+CMiIiIi54USGzSuMx/BCg1Idu7cqbrY+jGoN4icR5QAoRuzCRMmNNkH/d2i0eo999xjsR7nRN1y8/OiOtLZs2eved624u7KN5eIiIhcB0oF0U0M+g1EF11oXFhRUWFqgIqeSczbIKSlpamcPvTmgJGv0L8gYox58+ZZHBfrEAxiBKzGfdmi0d/06dPVudHdDOqp43yIUeyhJbHTFBPjDcYNQMMA9C2IrmXMby4RERHRpEmTVL+AGOMe9cDR7+q2bdtM7Q6QW2c+xj2Kh1944QUVDKLe99133y3vv/9+k8YgKB7Ga6dNsxwQQvPmm2+q46JbGvNOp+2FU/QzCOgzSOt0GjcXQ5ShP6HrweFsiIiIHA+/v1uHU+QMAnrzRiIiIiIiF6ozSEREREQtx2CQiIiIyIUxGCQiIiJyYQwGiYiIiFwYg0EiIiIiF8ZgkIiIiMiFMRgkIiIicmEMBomIiIhcGINBIiIiIhfmNCOQ3AwMMA25ubm2vhQiIiK6Ttr3tvY9Ti3DYFBE8vLy1JuRkJDQwreRiIiIbPk9HhsbyxvQQm4Gg8EgLq6urk6++eYbiYyMFHf31is5Lysrk969e8uxY8ckICCg1Y5L1sH75Th4rxwH75VjcbT7hRxBBIIDBw4UDw/mb7UUg0ErKi0tlaCgICkpKZHAwEBrnopaAe+X4+C9chy8V46F98s1sQEJERERkQtjMEhERETkwhgMWpG3t7csXLhQTcn+8X45Dt4rx8F75Vh4v1wT6wwSERERuTDmDBIRERG5MAaDRERERC6MwSARERGRC2MwSEREROTCGAxa0YoVK6Rz587i4+Mjt956qxw4cMCap6MWWLRokbi5uVmkXr168b20E19++aXcd999EhMTo+7Nli1bLLZjAKUFCxZIdHS0+Pr6ytixY+XEiRM2u15Xdq17NWXKlCbP2vjx4212va5s8eLFMnToUDXCSEREhEycOFEyMzMt9rl8+bLMmjVLwsLCxN/fX37+85+bhm4l58Ng0Eo2bNggTz75pOpaJj09XeLj42XcuHGSn59vrVNSC/Xp00cNdq6lPXv28L20ExUVFerZwQ+r5rz66quybNkyWblypaSlpYmfn596zvBFRvZ1rwDBn/mztn79+ja9RjL64osvVKC3f/9++fzzz6W2tlaSkpLUPdTMnTtX/vWvf0lKSoraPycnR+6//36+hc4KYxNT60tISDDMmjXLtKzX6w0xMTGGxYsX8+22IwsXLjTEx8fb+jLoOuDjavPmzabl+vp6Q1RUlOG1114zrSsuLjZ4e3sb1q9fz/fUju4VJCcnGyZMmGCza6Kry8/PV/fsiy++MD1Hnp6ehpSUFNM+x48fV/vs27ePb6UTYs6gFdTU1MihQ4dUkZXG3d1dLe/bt88ap6SbgGJFFG117dpVHn74YTl79izfTwdw+vRpuXDhgsVzhrHAUSWDz5l92r17tyqW7Nmzp8yYMUMKCwttfUkkIiUlJep9CA0NVVN8fyG30PzZQvWZ2NhYPltOisGgFRQUFIher5fIyEiL9VjGlxfZDwQOa9eulW3btslf/vIXFWD89Kc/lbKyMltfGl2D9izxOXMMKCJ+7733ZOfOnbJkyRJV9HjXXXepz0qynfr6enniiSdkxIgR0rdvX9Oz5eXlJcHBwRb78jvMeXnY+gKIbAlfRpr+/fur4DAuLk42btwo06dPt+m1ETmThx56yDTfr18/9bx169ZN5RYmJiba9NpcGeoOZmRksK60i2POoBW0b99edDpdk5ZXWI6KirLGKamV4Jdwjx495OTJk3xP7Zz2LPE5c0yoloHPSj5rtjN79mz5+OOPJTU1VTp27GjxbKG6U3FxscX+/A5zXgwGrQDZ64MHD1bFIeZZ8VgeNmyYNU5JraS8vFyysrJUVyVk37p06aK+tMyfs9LSUtWqmM+Z/Tt37pyqM8hnre2hjQ8Cwc2bN8uuXbvUs2QO31+enp4Wzxa6nkF9aj5bzonFxFaCbmWSk5NlyJAhkpCQIEuXLlXN9qdOnWqtU1ILPP3006pvNBQNo+sEdAWEXN3Jkyfz/bST4Nw85wh1Og8fPqwquqMyO+o6vfzyy/KTn/xEfaHNnz9fNQZCv2lkP/cK6cUXX1R91SGAxw+uefPmSffu3VVXQNT2RcMffPCBbN26VfU1qNW/RQMs9NeJKarJ4HsM9y4wMFDmzJmjAsHbbruNt8sZ2bo5szNbvny5ITY21uDl5aW6mtm/f7+tL4kamTRpkiE6Olrdow4dOqjlkydP8n2yE6mpqao7i8YJ3ZRo3cvMnz/fEBkZqbqUSUxMNGRmZtr6sl3Sj92ryspKQ1JSkiE8PFx1WRIXF2d4/PHHDRcuXLD1Zbuk5u4T0po1a0z7VFVVGWbOnGkICQkxtGvXzvCzn/3MkJuba9PrJutxw/9sHZASERERkW2wziARERGRC2MwSEREROTCGAwSERERuTAGg0REREQujMEgERERkQtjMEhERETkwhgMEhEREbkwBoNEZHVTpkyxyagga9euFTc3N5UwWsmP6dy5sxopqK3gfNq1NR4DloioLXE4OiK6KQhmfgyG+HvrrbfUeKi2gKG0MK6qn5+f2JODBw/KV199pYZoIyKyJQaDRHRTcnNzTfMbNmyQBQsWqOBL4+/vr5Itg1WMh2tvwsPD1bivRES2xmJiIropCLS0hAHuteBLSwgEGxcTjxo1Sg18j6LbkJAQiYyMlFWrVklFRYVMnTpVAgICpHv37vLpp59anCsjI0PuuusudUy85tFHH5WCgoIbvub8/Hy57777xNfXV7p06SJ///vfm+zzxhtvSL9+/VSOYqdOnWTmzJlSXl6utuE6keP44YcfWrxmy5Ytav+ysjKpqamR2bNnS3R0tPj4+EhcXJwsXrz4hq+ViMjaGAwSkU28++670r59ezlw4IAKDGfMmCG/+MUvZPjw4ZKeni5JSUkq2KusrFT7o17dmDFjZODAgfL111/Ltm3bJC8vTx588MEbPjeC0+zsbElNTVUB3dtvv60CRHPu7u6ybNkyOXr0qLrWXbt2ybx589Q2BHwPPfSQrFmzxuI1WH7ggQdUMIvXfvTRR7Jx40aVU4qAE/UEiYjsjoGIqJWsWbPGEBQU1GR9cnKyYcKECablkSNHGm6//XbTcl1dncHPz8/w6KOPmtbl5uaikqFh3759avmll14yJCUlWRw3Oztb7ZOZmXnd14N98ZoDBw6Y1h0/flyte/PNN6/6b0tJSTGEhYWZltPS0gw6nc6Qk5OjlvPy8gweHh6G3bt3q+U5c+YYxowZY6ivr7/qMVNTU9V5i4qKrroPEZG1MWeQiGyif//+pnmdTidhYWGqWFaDYmDQcuyOHDmicvK0OohIvXr1UtuysrKu+7zHjx8XDw8PGTx4sGkdjhMcHGyx344dOyQxMVE6dOigcvqQS1lYWGjKqUxISJA+ffqoXENYt26dKgq+4447TLmPhw8flp49e8pvf/tb2b59e4veJyIia2MwSEQ24enpabGMuobm67RWyvX19WqK+nqo54cAyzydOHHCFIC1lh9++EHuvfdeFbBu2rRJDh06JCtWrFDbUBdQ89hjj6nua7QiYtR31K570KBBcvr0aXnppZekqqpKFWejCJmIyN6wNTEROQQEVwjMUO8OOXsthVzAuro6FeANHTpUrUOdPvO+/rANQejrr7+u6g4C6v419sgjj6h6hKgfeOzYMUlOTrbYjkYmkyZNUgmB4Pjx4+XSpUtsRUxEdoU5g0TkEGbNmqUCqcmTJ6s++lA0/Nlnn6ncOL1ef93HQbEtgrJf//rXkpaWpgI/5PChZbEGLZlra2tl+fLlcurUKXn//fdl5cqVTY6FltD333+/PPPMM6rBS8eOHS1aI69fv16+++47+f777yUlJUW1rm5cHE1EZGsMBonIIcTExMjevXtV4IfAC/UL0TUNgist9+56oUgXxxs5cqQK5n71q19JRESEaXt8fLwK5pYsWSJ9+/ZVLYGv1i3M9OnTVdHxtGnTLNajnuGrr74qQ4YMUTmQKHr+5JNPbvhaiYiszQ2tSKx+FiIiG0B9PgSM1hzuDbmGc+fOlZycHPHy8rqh1+7evVtGjx4tRUVFzDEkIpvhT1QicmolJSWq5fGzzz7bqsdFq2IUVf/pT39SRc43GgiiJTI60CYisjXmDBKR08JIIOiYGlCcjE6uW8uiRYvklVdeUS2Zt27desND7p05c0bVS4SuXbuy+JiIbIbBIBEREZELYzExERERkQtjMEhERETkwhgMEhEREbkwBoNERERELozBIBEREZELYzBIRERE5MIYDBIRERG5MAaDRERERC6MwSARERGRuK7/B2e6VCEAQQTXAAAAAElFTkSuQmCC", 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" ] @@ -1133,10 +1133,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2025-11-13T21:57:08.971756Z", - "iopub.status.busy": "2025-11-13T21:57:08.971756Z", - "iopub.status.idle": "2025-11-13T21:57:50.605371Z", - "shell.execute_reply": "2025-11-13T21:57:50.604935Z" + "iopub.execute_input": "2026-02-03T17:39:01.587287Z", + "iopub.status.busy": "2026-02-03T17:39:01.586215Z", + "iopub.status.idle": "2026-02-03T17:41:28.968756Z", + "shell.execute_reply": "2026-02-03T17:41:28.965140Z" } }, "outputs": [ @@ -1223,7 +1223,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/02_degradation/03_letid_outdoor.ipynb b/tutorials/02_degradation/03_letid_outdoor.ipynb index e072015a..171b380e 100644 --- a/tutorials/02_degradation/03_letid_outdoor.ipynb +++ b/tutorials/02_degradation/03_letid_outdoor.ipynb @@ -26,13 +26,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:00:55.203351Z", - "iopub.status.busy": "2025-10-03T23:00:55.203351Z", - "iopub.status.idle": "2025-10-03T23:00:55.208284Z", - "shell.execute_reply": "2025-10-03T23:00:55.208284Z" + "iopub.execute_input": "2026-02-03T17:41:52.221340Z", + "iopub.status.busy": "2026-02-03T17:41:52.220351Z", + "iopub.status.idle": "2026-02-03T17:41:52.236798Z", + "shell.execute_reply": "2026-02-03T17:41:52.233711Z" } }, "outputs": [], @@ -46,10 +46,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:00:55.212291Z", - "iopub.status.busy": "2025-10-03T23:00:55.212291Z", - "iopub.status.idle": "2025-10-03T23:01:01.565525Z", - "shell.execute_reply": "2025-10-03T23:01:01.564511Z" + "iopub.execute_input": "2026-02-03T17:41:52.245273Z", + "iopub.status.busy": "2026-02-03T17:41:52.244009Z", + "iopub.status.idle": "2026-02-03T17:42:08.393127Z", + "shell.execute_reply": "2026-02-03T17:42:08.388920Z" } }, "outputs": [], @@ -69,10 +69,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:01.571054Z", - "iopub.status.busy": "2025-10-03T23:01:01.571054Z", - "iopub.status.idle": "2025-10-03T23:01:01.580418Z", - "shell.execute_reply": "2025-10-03T23:01:01.579409Z" + "iopub.execute_input": "2026-02-03T17:42:08.402299Z", + "iopub.status.busy": "2026-02-03T17:42:08.400378Z", + "iopub.status.idle": "2026-02-03T17:42:08.419176Z", + "shell.execute_reply": "2026-02-03T17:42:08.415338Z" } }, "outputs": [ @@ -81,10 +81,10 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.12.9 | packaged by Anaconda, Inc. | (main, Feb 6 2025, 18:49:16) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.2.3\n", - "pvlib version 0.13.0\n", - "pvdeg version 0.5.1.dev623+g51cc68b8e.d20250905\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvlib version 0.14.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -113,10 +113,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:01.583418Z", - "iopub.status.busy": "2025-10-03T23:01:01.583418Z", - "iopub.status.idle": "2025-10-03T23:01:01.966507Z", - "shell.execute_reply": "2025-10-03T23:01:01.965495Z" + "iopub.execute_input": "2026-02-03T17:42:08.533513Z", + "iopub.status.busy": "2026-02-03T17:42:08.532522Z", + "iopub.status.idle": "2026-02-03T17:42:08.728208Z", + "shell.execute_reply": "2026-02-03T17:42:08.724577Z" } }, "outputs": [], @@ -134,10 +134,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:01.971505Z", - "iopub.status.busy": "2025-10-03T23:01:01.971505Z", - "iopub.status.idle": "2025-10-03T23:01:02.008609Z", - "shell.execute_reply": "2025-10-03T23:01:02.007600Z" + "iopub.execute_input": "2026-02-03T17:42:08.736351Z", + "iopub.status.busy": "2026-02-03T17:42:08.735599Z", + "iopub.status.idle": "2026-02-03T17:42:08.818791Z", + "shell.execute_reply": "2026-02-03T17:42:08.815573Z" } }, "outputs": [ @@ -440,10 +440,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.011606Z", - "iopub.status.busy": "2025-10-03T23:01:02.011606Z", - "iopub.status.idle": "2025-10-03T23:01:02.024489Z", - "shell.execute_reply": "2025-10-03T23:01:02.023483Z" + "iopub.execute_input": "2026-02-03T17:42:08.828475Z", + "iopub.status.busy": "2026-02-03T17:42:08.827189Z", + "iopub.status.idle": "2026-02-03T17:42:08.850861Z", + "shell.execute_reply": "2026-02-03T17:42:08.847052Z" } }, "outputs": [], @@ -460,10 +460,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.028492Z", - "iopub.status.busy": "2025-10-03T23:01:02.028492Z", - "iopub.status.idle": "2025-10-03T23:01:02.036606Z", - "shell.execute_reply": "2025-10-03T23:01:02.035597Z" + "iopub.execute_input": "2026-02-03T17:42:08.860575Z", + "iopub.status.busy": "2026-02-03T17:42:08.859130Z", + "iopub.status.idle": "2026-02-03T17:42:08.881768Z", + "shell.execute_reply": "2026-02-03T17:42:08.874463Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.041606Z", - "iopub.status.busy": "2025-10-03T23:01:02.040605Z", - "iopub.status.idle": "2025-10-03T23:01:02.062128Z", - "shell.execute_reply": "2025-10-03T23:01:02.061617Z" + "iopub.execute_input": "2026-02-03T17:42:08.890853Z", + "iopub.status.busy": "2026-02-03T17:42:08.889054Z", + "iopub.status.idle": "2026-02-03T17:42:08.940487Z", + "shell.execute_reply": "2026-02-03T17:42:08.937413Z" } }, "outputs": [ @@ -696,10 +696,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.068663Z", - "iopub.status.busy": "2025-10-03T23:01:02.067667Z", - "iopub.status.idle": "2025-10-03T23:01:02.321218Z", - "shell.execute_reply": "2025-10-03T23:01:02.320207Z" + "iopub.execute_input": "2026-02-03T17:42:08.948700Z", + "iopub.status.busy": "2026-02-03T17:42:08.947520Z", + "iopub.status.idle": "2026-02-03T17:42:09.471166Z", + "shell.execute_reply": "2026-02-03T17:42:09.466067Z" } }, "outputs": [], @@ -728,10 +728,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.326218Z", - "iopub.status.busy": "2025-10-03T23:01:02.325216Z", - "iopub.status.idle": "2025-10-03T23:01:02.336598Z", - "shell.execute_reply": "2025-10-03T23:01:02.335586Z" + "iopub.execute_input": "2026-02-03T17:42:09.481463Z", + "iopub.status.busy": "2026-02-03T17:42:09.479890Z", + "iopub.status.idle": "2026-02-03T17:42:09.503236Z", + "shell.execute_reply": "2026-02-03T17:42:09.499142Z" } }, "outputs": [], @@ -760,13 +760,21 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.340599Z", - "iopub.status.busy": "2025-10-03T23:01:02.340599Z", - "iopub.status.idle": "2025-10-03T23:01:02.759854Z", - "shell.execute_reply": "2025-10-03T23:01:02.758844Z" + "iopub.execute_input": "2026-02-03T17:42:09.514433Z", + "iopub.status.busy": "2026-02-03T17:42:09.512411Z", + "iopub.status.idle": "2026-02-03T17:42:10.126878Z", + "shell.execute_reply": "2026-02-03T17:42:10.122688Z" } }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\rdaxini\\AppData\\Local\\anaconda3\\envs\\pvdeg313\\Lib\\site-packages\\scipy\\optimize\\_chandrupatla.py:437: RuntimeWarning: invalid value encountered in divide\n", + " C = A / (A + B)\n" + ] + }, { "data": { "text/plain": [ @@ -810,10 +818,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.762427Z", - "iopub.status.busy": "2025-10-03T23:01:02.762427Z", - "iopub.status.idle": "2025-10-03T23:01:02.771926Z", - "shell.execute_reply": "2025-10-03T23:01:02.770920Z" + "iopub.execute_input": "2026-02-03T17:42:10.136883Z", + "iopub.status.busy": "2026-02-03T17:42:10.135566Z", + "iopub.status.idle": "2026-02-03T17:42:10.158161Z", + "shell.execute_reply": "2026-02-03T17:42:10.154605Z" } }, "outputs": [], @@ -837,10 +845,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.775927Z", - "iopub.status.busy": "2025-10-03T23:01:02.774927Z", - "iopub.status.idle": "2025-10-03T23:01:02.780229Z", - "shell.execute_reply": "2025-10-03T23:01:02.780229Z" + "iopub.execute_input": "2026-02-03T17:42:10.167356Z", + "iopub.status.busy": "2026-02-03T17:42:10.166138Z", + "iopub.status.idle": "2026-02-03T17:42:10.183423Z", + "shell.execute_reply": "2026-02-03T17:42:10.179762Z" } }, "outputs": [], @@ -855,10 +863,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.784235Z", - "iopub.status.busy": "2025-10-03T23:01:02.783237Z", - "iopub.status.idle": "2025-10-03T23:01:02.799237Z", - "shell.execute_reply": "2025-10-03T23:01:02.799237Z" + "iopub.execute_input": "2026-02-03T17:42:10.192404Z", + "iopub.status.busy": "2026-02-03T17:42:10.191078Z", + "iopub.status.idle": "2026-02-03T17:42:10.225091Z", + "shell.execute_reply": "2026-02-03T17:42:10.221411Z" } }, "outputs": [ @@ -999,10 +1007,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.805582Z", - "iopub.status.busy": "2025-10-03T23:01:02.804583Z", - "iopub.status.idle": "2025-10-03T23:01:02.808943Z", - "shell.execute_reply": "2025-10-03T23:01:02.808943Z" + "iopub.execute_input": "2026-02-03T17:42:10.233993Z", + "iopub.status.busy": "2026-02-03T17:42:10.232839Z", + "iopub.status.idle": "2026-02-03T17:42:10.251821Z", + "shell.execute_reply": "2026-02-03T17:42:10.247850Z" } }, "outputs": [], @@ -1025,10 +1033,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:02.811952Z", - "iopub.status.busy": "2025-10-03T23:01:02.811952Z", - "iopub.status.idle": "2025-10-03T23:01:03.276903Z", - "shell.execute_reply": "2025-10-03T23:01:03.276373Z" + "iopub.execute_input": "2026-02-03T17:42:10.261930Z", + "iopub.status.busy": "2026-02-03T17:42:10.260615Z", + "iopub.status.idle": "2026-02-03T17:42:11.113241Z", + "shell.execute_reply": "2026-02-03T17:42:11.108685Z" } }, "outputs": [], @@ -1055,10 +1063,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:03.280910Z", - "iopub.status.busy": "2025-10-03T23:01:03.280910Z", - "iopub.status.idle": "2025-10-03T23:01:03.283916Z", - "shell.execute_reply": "2025-10-03T23:01:03.283916Z" + "iopub.execute_input": "2026-02-03T17:42:11.122415Z", + "iopub.status.busy": "2026-02-03T17:42:11.121294Z", + "iopub.status.idle": "2026-02-03T17:42:11.132005Z", + "shell.execute_reply": "2026-02-03T17:42:11.129836Z" } }, "outputs": [], @@ -1083,10 +1091,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:03.287255Z", - "iopub.status.busy": "2025-10-03T23:01:03.287255Z", - "iopub.status.idle": "2025-10-03T23:01:03.295257Z", - "shell.execute_reply": "2025-10-03T23:01:03.295257Z" + "iopub.execute_input": "2026-02-03T17:42:11.141139Z", + "iopub.status.busy": "2026-02-03T17:42:11.140029Z", + "iopub.status.idle": "2026-02-03T17:42:11.175952Z", + "shell.execute_reply": "2026-02-03T17:42:11.172762Z" } }, "outputs": [], @@ -1125,10 +1133,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:03.297637Z", - "iopub.status.busy": "2025-10-03T23:01:03.297637Z", - "iopub.status.idle": "2025-10-03T23:01:13.139955Z", - "shell.execute_reply": "2025-10-03T23:01:13.139955Z" + "iopub.execute_input": "2026-02-03T17:42:11.183847Z", + "iopub.status.busy": "2026-02-03T17:42:11.182823Z", + "iopub.status.idle": "2026-02-03T17:42:35.771841Z", + "shell.execute_reply": "2026-02-03T17:42:35.767969Z" } }, "outputs": [], @@ -1241,10 +1249,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:13.144054Z", - "iopub.status.busy": "2025-10-03T23:01:13.143049Z", - "iopub.status.idle": "2025-10-03T23:01:20.662507Z", - "shell.execute_reply": "2025-10-03T23:01:20.661496Z" + "iopub.execute_input": "2026-02-03T17:42:35.781210Z", + "iopub.status.busy": "2026-02-03T17:42:35.780135Z", + "iopub.status.idle": "2026-02-03T17:42:55.149791Z", + "shell.execute_reply": "2026-02-03T17:42:55.145580Z" } }, "outputs": [], @@ -1267,10 +1275,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:20.665503Z", - "iopub.status.busy": "2025-10-03T23:01:20.665503Z", - "iopub.status.idle": "2025-10-03T23:01:20.684520Z", - "shell.execute_reply": "2025-10-03T23:01:20.684520Z" + "iopub.execute_input": "2026-02-03T17:42:55.161203Z", + "iopub.status.busy": "2026-02-03T17:42:55.159746Z", + "iopub.status.idle": "2026-02-03T17:42:55.223635Z", + "shell.execute_reply": "2026-02-03T17:42:55.219946Z" } }, "outputs": [ @@ -1350,7 +1358,7 @@ " 0.044058\n", " 99.992005\n", " 0.007995\n", - " 5.966711e-09\n", + " 5.966710e-09\n", " 114.989971\n", " 41.590966\n", " 0.666326\n", @@ -1413,7 +1421,7 @@ " 9.515577\n", " 0.001159\n", " 41.396088\n", - " 54.267061\n", + " 54.267060\n", " 4.336851e+00\n", " 72.235986\n", " 41.384030\n", @@ -1429,7 +1437,7 @@ " 28.119796\n", " 0.044562\n", " 41.396882\n", - " 54.265942\n", + " 54.265941\n", " 4.337177e+00\n", " 72.236540\n", " 41.384034\n", @@ -1445,7 +1453,7 @@ " 23.314672\n", " 0.034774\n", " 41.402923\n", - " 54.259760\n", + " 54.259759\n", " 4.337317e+00\n", " 72.239600\n", " 41.384057\n", @@ -1476,8 +1484,8 @@ " 1999-12-31 16:30:00-07:00\n", " 4.552365\n", " 0.001190\n", - " 41.415660\n", - " 54.246967\n", + " 41.415661\n", + " 54.246966\n", " 4.337373e+00\n", " 72.245934\n", " 41.384105\n", @@ -1500,16 +1508,16 @@ "3 1999-01-01 11:30:00-07:00 17.457240 0.043239 99.985976 0.014024 \n", "4 1999-01-01 12:30:00-07:00 6.392783 0.007145 99.985711 0.014289 \n", "... ... ... ... ... ... \n", - "4296 1999-12-31 12:30:00-07:00 9.515577 0.001159 41.396088 54.267061 \n", - "4297 1999-12-31 13:30:00-07:00 28.119796 0.044562 41.396882 54.265942 \n", - "4298 1999-12-31 14:30:00-07:00 23.314672 0.034774 41.402923 54.259760 \n", + "4296 1999-12-31 12:30:00-07:00 9.515577 0.001159 41.396088 54.267060 \n", + "4297 1999-12-31 13:30:00-07:00 28.119796 0.044562 41.396882 54.265941 \n", + "4298 1999-12-31 14:30:00-07:00 23.314672 0.034774 41.402923 54.259759 \n", "4299 1999-12-31 15:30:00-07:00 17.890528 0.027285 41.415085 54.247542 \n", - "4300 1999-12-31 16:30:00-07:00 4.552365 0.001190 41.415660 54.246967 \n", + "4300 1999-12-31 16:30:00-07:00 4.552365 0.001190 41.415661 54.246966 \n", "\n", " NC tau Jsc Voc Isc FF \\\n", "0 0.000000e+00 115.000000 41.590997 0.666327 10.106612 0.840987 \n", "1 0.000000e+00 114.996963 41.590987 0.666327 10.106610 0.840987 \n", - "2 5.966711e-09 114.989971 41.590966 0.666326 10.106605 0.840986 \n", + "2 5.966710e-09 114.989971 41.590966 0.666326 10.106605 0.840986 \n", "3 2.732911e-08 114.982409 41.590942 0.666324 10.106599 0.840986 \n", "4 2.841966e-08 114.982076 41.590941 0.666324 10.106599 0.840986 \n", "... ... ... ... ... ... ... \n", @@ -1567,16 +1575,16 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:20.688622Z", - "iopub.status.busy": "2025-10-03T23:01:20.688622Z", - "iopub.status.idle": "2025-10-03T23:01:21.397351Z", - "shell.execute_reply": "2025-10-03T23:01:21.397351Z" + "iopub.execute_input": "2026-02-03T17:42:55.235630Z", + "iopub.status.busy": "2026-02-03T17:42:55.233736Z", + "iopub.status.idle": "2026-02-03T17:42:56.860841Z", + "shell.execute_reply": "2026-02-03T17:42:56.856310Z" } }, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -1636,13 +1644,21 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:21.400360Z", - "iopub.status.busy": "2025-10-03T23:01:21.400360Z", - "iopub.status.idle": "2025-10-03T23:01:40.800847Z", - "shell.execute_reply": "2025-10-03T23:01:40.800342Z" + "iopub.execute_input": "2026-02-03T17:42:56.871821Z", + "iopub.status.busy": "2026-02-03T17:42:56.870456Z", + "iopub.status.idle": "2026-02-03T17:43:40.672434Z", + "shell.execute_reply": "2026-02-03T17:43:40.669445Z" } }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\rdaxini\\AppData\\Local\\anaconda3\\envs\\pvdeg313\\Lib\\site-packages\\scipy\\optimize\\_chandrupatla.py:437: RuntimeWarning: invalid value encountered in divide\n", + " C = A / (A + B)\n" + ] + }, { "data": { "text/html": [ @@ -1791,7 +1807,7 @@ " 27.833654\n", " 6.778463e+01\n", " 4.381716e+00\n", - " 66.112141\n", + " 66.112142\n", " 41.333851\n", " 0.654974\n", " 10.044126\n", @@ -1806,7 +1822,7 @@ " 27.833654\n", " 6.778463e+01\n", " 4.381716e+00\n", - " 66.112141\n", + " 66.112142\n", " 41.333851\n", " 0.654974\n", " 10.044126\n", @@ -1821,7 +1837,7 @@ " 27.833654\n", " 6.778463e+01\n", " 4.381716e+00\n", - " 66.112141\n", + " 66.112142\n", " 41.333851\n", " 0.654974\n", " 10.044126\n", @@ -1836,7 +1852,7 @@ " 27.833654\n", " 6.778463e+01\n", " 4.381716e+00\n", - " 66.112141\n", + " 66.112142\n", " 41.333851\n", " 0.654974\n", " 10.044126\n", @@ -1851,7 +1867,7 @@ " 27.833654\n", " 6.778463e+01\n", " 4.381716e+00\n", - " 66.112141\n", + " 66.112142\n", " 41.333851\n", " 0.654974\n", " 10.044126\n", @@ -1887,11 +1903,11 @@ "1999-01-01 03:30:00-07:00 1.620999e-35 115.000000 41.590997 0.666327 \n", "1999-01-01 04:30:00-07:00 3.241997e-35 115.000000 41.590997 0.666327 \n", "... ... ... ... ... \n", - "1999-12-31 19:30:00-07:00 4.381716e+00 66.112141 41.333851 0.654974 \n", - "1999-12-31 20:30:00-07:00 4.381716e+00 66.112141 41.333851 0.654974 \n", - "1999-12-31 21:30:00-07:00 4.381716e+00 66.112141 41.333851 0.654974 \n", - "1999-12-31 22:30:00-07:00 4.381716e+00 66.112141 41.333851 0.654974 \n", - "1999-12-31 23:30:00-07:00 4.381716e+00 66.112141 41.333851 0.654974 \n", + "1999-12-31 19:30:00-07:00 4.381716e+00 66.112142 41.333851 0.654974 \n", + "1999-12-31 20:30:00-07:00 4.381716e+00 66.112142 41.333851 0.654974 \n", + "1999-12-31 21:30:00-07:00 4.381716e+00 66.112142 41.333851 0.654974 \n", + "1999-12-31 22:30:00-07:00 4.381716e+00 66.112142 41.333851 0.654974 \n", + "1999-12-31 23:30:00-07:00 4.381716e+00 66.112142 41.333851 0.654974 \n", "\n", " Isc FF Pmp Pmp_norm \n", "time \n", @@ -1961,7 +1977,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/02_degradation/04_letid_outdoor_scenario.ipynb b/tutorials/02_degradation/04_letid_outdoor_scenario.ipynb index 8b7b284b..eac32461 100644 --- a/tutorials/02_degradation/04_letid_outdoor_scenario.ipynb +++ b/tutorials/02_degradation/04_letid_outdoor_scenario.ipynb @@ -30,13 +30,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:43.978222Z", - "iopub.status.busy": "2025-10-03T23:01:43.978222Z", - "iopub.status.idle": "2025-10-03T23:01:43.982558Z", - "shell.execute_reply": "2025-10-03T23:01:43.982558Z" + "iopub.execute_input": "2026-02-03T17:44:06.024227Z", + "iopub.status.busy": "2026-02-03T17:44:06.023027Z", + "iopub.status.idle": "2026-02-03T17:44:06.043701Z", + "shell.execute_reply": "2026-02-03T17:44:06.039596Z" } }, "outputs": [], @@ -50,10 +50,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:43.984569Z", - "iopub.status.busy": "2025-10-03T23:01:43.984569Z", - "iopub.status.idle": "2025-10-03T23:01:49.587188Z", - "shell.execute_reply": "2025-10-03T23:01:49.587188Z" + "iopub.execute_input": "2026-02-03T17:44:06.053947Z", + "iopub.status.busy": "2026-02-03T17:44:06.052558Z", + "iopub.status.idle": "2026-02-03T17:44:22.506340Z", + "shell.execute_reply": "2026-02-03T17:44:22.503106Z" } }, "outputs": [], @@ -74,10 +74,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:49.590197Z", - "iopub.status.busy": "2025-10-03T23:01:49.589206Z", - "iopub.status.idle": "2025-10-03T23:01:49.597116Z", - "shell.execute_reply": "2025-10-03T23:01:49.597116Z" + "iopub.execute_input": "2026-02-03T17:44:22.515466Z", + "iopub.status.busy": "2026-02-03T17:44:22.513517Z", + "iopub.status.idle": "2026-02-03T17:44:22.529614Z", + "shell.execute_reply": "2026-02-03T17:44:22.526045Z" } }, "outputs": [ @@ -86,9 +86,9 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.12.9 | packaged by Anaconda, Inc. | (main, Feb 6 2025, 18:49:16) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.2.3\n", - "pvdeg version 0.5.1.dev623+g51cc68b8e.d20250905\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -115,10 +115,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:49.600522Z", - "iopub.status.busy": "2025-10-03T23:01:49.599506Z", - "iopub.status.idle": "2025-10-03T23:01:49.605038Z", - "shell.execute_reply": "2025-10-03T23:01:49.604525Z" + "iopub.execute_input": "2026-02-03T17:44:22.621810Z", + "iopub.status.busy": "2026-02-03T17:44:22.620420Z", + "iopub.status.idle": "2026-02-03T17:44:22.631921Z", + "shell.execute_reply": "2026-02-03T17:44:22.628566Z" } }, "outputs": [], @@ -131,10 +131,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:49.607054Z", - "iopub.status.busy": "2025-10-03T23:01:49.607054Z", - "iopub.status.idle": "2025-10-03T23:01:49.637912Z", - "shell.execute_reply": "2025-10-03T23:01:49.637912Z" + "iopub.execute_input": "2026-02-03T17:44:22.638233Z", + "iopub.status.busy": "2026-02-03T17:44:22.637411Z", + "iopub.status.idle": "2026-02-03T17:44:22.721405Z", + "shell.execute_reply": "2026-02-03T17:44:22.718356Z" } }, "outputs": [ @@ -275,10 +275,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:49.641079Z", - "iopub.status.busy": "2025-10-03T23:01:49.641079Z", - "iopub.status.idle": "2025-10-03T23:01:49.651252Z", - "shell.execute_reply": "2025-10-03T23:01:49.651252Z" + "iopub.execute_input": "2026-02-03T17:44:22.731100Z", + "iopub.status.busy": "2026-02-03T17:44:22.729729Z", + "iopub.status.idle": "2026-02-03T17:44:22.761001Z", + "shell.execute_reply": "2026-02-03T17:44:22.757896Z" } }, "outputs": [ @@ -320,10 +320,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:49.653259Z", - "iopub.status.busy": "2025-10-03T23:01:49.653259Z", - "iopub.status.idle": "2025-10-03T23:01:49.990393Z", - "shell.execute_reply": "2025-10-03T23:01:49.989890Z" + "iopub.execute_input": "2026-02-03T17:44:22.768360Z", + "iopub.status.busy": "2026-02-03T17:44:22.767135Z", + "iopub.status.idle": "2026-02-03T17:44:23.508099Z", + "shell.execute_reply": "2026-02-03T17:44:23.504760Z" } }, "outputs": [], @@ -349,10 +349,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:49.992398Z", - "iopub.status.busy": "2025-10-03T23:01:49.992398Z", - "iopub.status.idle": "2025-10-03T23:01:50.001452Z", - "shell.execute_reply": "2025-10-03T23:01:50.001452Z" + "iopub.execute_input": "2026-02-03T17:44:23.518196Z", + "iopub.status.busy": "2026-02-03T17:44:23.517234Z", + "iopub.status.idle": "2026-02-03T17:44:23.546261Z", + "shell.execute_reply": "2026-02-03T17:44:23.542337Z" } }, "outputs": [ @@ -388,10 +388,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.004458Z", - "iopub.status.busy": "2025-10-03T23:01:50.004458Z", - "iopub.status.idle": "2025-10-03T23:01:50.010767Z", - "shell.execute_reply": "2025-10-03T23:01:50.010767Z" + "iopub.execute_input": "2026-02-03T17:44:23.557247Z", + "iopub.status.busy": "2026-02-03T17:44:23.555966Z", + "iopub.status.idle": "2026-02-03T17:44:23.581039Z", + "shell.execute_reply": "2026-02-03T17:44:23.577489Z" } }, "outputs": [ @@ -425,10 +425,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.012771Z", - "iopub.status.busy": "2025-10-03T23:01:50.012771Z", - "iopub.status.idle": "2025-10-03T23:01:50.023796Z", - "shell.execute_reply": "2025-10-03T23:01:50.023796Z" + "iopub.execute_input": "2026-02-03T17:44:23.590435Z", + "iopub.status.busy": "2026-02-03T17:44:23.588864Z", + "iopub.status.idle": "2026-02-03T17:44:23.617409Z", + "shell.execute_reply": "2026-02-03T17:44:23.614425Z" } }, "outputs": [ @@ -459,10 +459,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.025808Z", - "iopub.status.busy": "2025-10-03T23:01:50.025808Z", - "iopub.status.idle": "2025-10-03T23:01:50.030326Z", - "shell.execute_reply": "2025-10-03T23:01:50.030326Z" + "iopub.execute_input": "2026-02-03T17:44:23.625723Z", + "iopub.status.busy": "2026-02-03T17:44:23.624844Z", + "iopub.status.idle": "2026-02-03T17:44:23.641263Z", + "shell.execute_reply": "2026-02-03T17:44:23.637913Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.032339Z", - "iopub.status.busy": "2025-10-03T23:01:50.032339Z", - "iopub.status.idle": "2025-10-03T23:01:50.280481Z", - "shell.execute_reply": "2025-10-03T23:01:50.280036Z" + "iopub.execute_input": "2026-02-03T17:44:23.650293Z", + "iopub.status.busy": "2026-02-03T17:44:23.649249Z", + "iopub.status.idle": "2026-02-03T17:44:23.824578Z", + "shell.execute_reply": "2026-02-03T17:44:23.821219Z" } }, "outputs": [], @@ -518,10 +518,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.282728Z", - "iopub.status.busy": "2025-10-03T23:01:50.282728Z", - "iopub.status.idle": "2025-10-03T23:01:50.315735Z", - "shell.execute_reply": "2025-10-03T23:01:50.315735Z" + "iopub.execute_input": "2026-02-03T17:44:23.833399Z", + "iopub.status.busy": "2026-02-03T17:44:23.832107Z", + "iopub.status.idle": "2026-02-03T17:44:23.888804Z", + "shell.execute_reply": "2026-02-03T17:44:23.885775Z" } }, "outputs": [ @@ -824,10 +824,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.319179Z", - "iopub.status.busy": "2025-10-03T23:01:50.319179Z", - "iopub.status.idle": "2025-10-03T23:01:50.327018Z", - "shell.execute_reply": "2025-10-03T23:01:50.326685Z" + "iopub.execute_input": "2026-02-03T17:44:23.897594Z", + "iopub.status.busy": "2026-02-03T17:44:23.896483Z", + "iopub.status.idle": "2026-02-03T17:44:23.919568Z", + "shell.execute_reply": "2026-02-03T17:44:23.914417Z" } }, "outputs": [], @@ -844,10 +844,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.329022Z", - "iopub.status.busy": "2025-10-03T23:01:50.329022Z", - "iopub.status.idle": "2025-10-03T23:01:50.333130Z", - "shell.execute_reply": "2025-10-03T23:01:50.333130Z" + "iopub.execute_input": "2026-02-03T17:44:23.929774Z", + "iopub.status.busy": "2026-02-03T17:44:23.928588Z", + "iopub.status.idle": "2026-02-03T17:44:23.946542Z", + "shell.execute_reply": "2026-02-03T17:44:23.942700Z" } }, "outputs": [], @@ -871,10 +871,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.335138Z", - "iopub.status.busy": "2025-10-03T23:01:50.335138Z", - "iopub.status.idle": "2025-10-03T23:01:50.352138Z", - "shell.execute_reply": "2025-10-03T23:01:50.352138Z" + "iopub.execute_input": "2026-02-03T17:44:23.955546Z", + "iopub.status.busy": "2026-02-03T17:44:23.954492Z", + "iopub.status.idle": "2026-02-03T17:44:23.994525Z", + "shell.execute_reply": "2026-02-03T17:44:23.990674Z" } }, "outputs": [ @@ -1076,10 +1076,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.354442Z", - "iopub.status.busy": "2025-10-03T23:01:50.354442Z", - "iopub.status.idle": "2025-10-03T23:01:50.770879Z", - "shell.execute_reply": "2025-10-03T23:01:50.770879Z" + "iopub.execute_input": "2026-02-03T17:44:24.003293Z", + "iopub.status.busy": "2026-02-03T17:44:24.002167Z", + "iopub.status.idle": "2026-02-03T17:44:24.393838Z", + "shell.execute_reply": "2026-02-03T17:44:24.389687Z" } }, "outputs": [ @@ -1441,10 +1441,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.773873Z", - "iopub.status.busy": "2025-10-03T23:01:50.773873Z", - "iopub.status.idle": "2025-10-03T23:01:50.777346Z", - "shell.execute_reply": "2025-10-03T23:01:50.777346Z" + "iopub.execute_input": "2026-02-03T17:44:24.402227Z", + "iopub.status.busy": "2026-02-03T17:44:24.401293Z", + "iopub.status.idle": "2026-02-03T17:44:24.414640Z", + "shell.execute_reply": "2026-02-03T17:44:24.411405Z" } }, "outputs": [], @@ -1458,10 +1458,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.778578Z", - "iopub.status.busy": "2025-10-03T23:01:50.778578Z", - "iopub.status.idle": "2025-10-03T23:01:50.806362Z", - "shell.execute_reply": "2025-10-03T23:01:50.805612Z" + "iopub.execute_input": "2026-02-03T17:44:24.422603Z", + "iopub.status.busy": "2026-02-03T17:44:24.421458Z", + "iopub.status.idle": "2026-02-03T17:44:24.489918Z", + "shell.execute_reply": "2026-02-03T17:44:24.485972Z" } }, "outputs": [], @@ -1487,10 +1487,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.807950Z", - "iopub.status.busy": "2025-10-03T23:01:50.807950Z", - "iopub.status.idle": "2025-10-03T23:01:50.812379Z", - "shell.execute_reply": "2025-10-03T23:01:50.812379Z" + "iopub.execute_input": "2026-02-03T17:44:24.499024Z", + "iopub.status.busy": "2026-02-03T17:44:24.497688Z", + "iopub.status.idle": "2026-02-03T17:44:24.513707Z", + "shell.execute_reply": "2026-02-03T17:44:24.510739Z" } }, "outputs": [], @@ -1519,13 +1519,21 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:50.814386Z", - "iopub.status.busy": "2025-10-03T23:01:50.814386Z", - "iopub.status.idle": "2025-10-03T23:01:51.280533Z", - "shell.execute_reply": "2025-10-03T23:01:51.280533Z" + "iopub.execute_input": "2026-02-03T17:44:24.520801Z", + "iopub.status.busy": "2026-02-03T17:44:24.519747Z", + "iopub.status.idle": "2026-02-03T17:44:25.030746Z", + "shell.execute_reply": "2026-02-03T17:44:25.027057Z" } }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\rdaxini\\AppData\\Local\\anaconda3\\envs\\pvdeg313\\Lib\\site-packages\\scipy\\optimize\\_chandrupatla.py:437: RuntimeWarning: invalid value encountered in divide\n", + " C = A / (A + B)\n" + ] + }, { "data": { "text/plain": [ @@ -1569,10 +1577,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:51.281540Z", - "iopub.status.busy": "2025-10-03T23:01:51.281540Z", - "iopub.status.idle": "2025-10-03T23:01:51.288152Z", - "shell.execute_reply": "2025-10-03T23:01:51.288152Z" + "iopub.execute_input": "2026-02-03T17:44:25.040885Z", + "iopub.status.busy": "2026-02-03T17:44:25.039589Z", + "iopub.status.idle": "2026-02-03T17:44:25.062753Z", + "shell.execute_reply": "2026-02-03T17:44:25.059663Z" } }, "outputs": [], @@ -1609,10 +1617,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:51.291161Z", - "iopub.status.busy": "2025-10-03T23:01:51.290160Z", - "iopub.status.idle": "2025-10-03T23:01:51.320710Z", - "shell.execute_reply": "2025-10-03T23:01:51.320710Z" + "iopub.execute_input": "2026-02-03T17:44:25.071221Z", + "iopub.status.busy": "2026-02-03T17:44:25.070034Z", + "iopub.status.idle": "2026-02-03T17:44:25.117669Z", + "shell.execute_reply": "2026-02-03T17:44:25.113136Z" } }, "outputs": [], @@ -1631,10 +1639,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:51.323071Z", - "iopub.status.busy": "2025-10-03T23:01:51.323071Z", - "iopub.status.idle": "2025-10-03T23:01:51.331421Z", - "shell.execute_reply": "2025-10-03T23:01:51.331421Z" + "iopub.execute_input": "2026-02-03T17:44:25.127689Z", + "iopub.status.busy": "2026-02-03T17:44:25.126202Z", + "iopub.status.idle": "2026-02-03T17:44:25.157036Z", + "shell.execute_reply": "2026-02-03T17:44:25.153889Z" } }, "outputs": [], @@ -1665,10 +1673,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:51.334435Z", - "iopub.status.busy": "2025-10-03T23:01:51.334435Z", - "iopub.status.idle": "2025-10-03T23:01:51.344330Z", - "shell.execute_reply": "2025-10-03T23:01:51.344330Z" + "iopub.execute_input": "2026-02-03T17:44:25.166420Z", + "iopub.status.busy": "2026-02-03T17:44:25.165440Z", + "iopub.status.idle": "2026-02-03T17:44:25.208686Z", + "shell.execute_reply": "2026-02-03T17:44:25.204648Z" } }, "outputs": [ @@ -1857,10 +1865,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:01:51.346338Z", - "iopub.status.busy": "2025-10-03T23:01:51.346338Z", - "iopub.status.idle": "2025-10-03T23:02:10.572260Z", - "shell.execute_reply": "2025-10-03T23:02:10.571746Z" + "iopub.execute_input": "2026-02-03T17:44:25.220305Z", + "iopub.status.busy": "2026-02-03T17:44:25.218835Z", + "iopub.status.idle": "2026-02-03T17:45:12.804345Z", + "shell.execute_reply": "2026-02-03T17:45:12.800211Z" } }, "outputs": [], @@ -1951,10 +1959,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:10.576269Z", - "iopub.status.busy": "2025-10-03T23:02:10.576269Z", - "iopub.status.idle": "2025-10-03T23:02:26.500083Z", - "shell.execute_reply": "2025-10-03T23:02:26.500083Z" + "iopub.execute_input": "2026-02-03T17:45:12.815175Z", + "iopub.status.busy": "2026-02-03T17:45:12.813706Z", + "iopub.status.idle": "2026-02-03T17:45:51.709660Z", + "shell.execute_reply": "2026-02-03T17:45:51.705353Z" } }, "outputs": [], @@ -1977,10 +1985,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:26.504185Z", - "iopub.status.busy": "2025-10-03T23:02:26.504185Z", - "iopub.status.idle": "2025-10-03T23:02:26.522216Z", - "shell.execute_reply": "2025-10-03T23:02:26.522216Z" + "iopub.execute_input": "2026-02-03T17:45:51.719956Z", + "iopub.status.busy": "2026-02-03T17:45:51.718435Z", + "iopub.status.idle": "2026-02-03T17:45:51.780417Z", + "shell.execute_reply": "2026-02-03T17:45:51.776559Z" } }, "outputs": [ @@ -2122,7 +2130,7 @@ " 1999-12-31 19:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2138,7 +2146,7 @@ " 1999-12-31 20:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2154,7 +2162,7 @@ " 1999-12-31 21:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2170,7 +2178,7 @@ " 1999-12-31 22:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2186,7 +2194,7 @@ " 1999-12-31 23:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2210,11 +2218,11 @@ "3 1999-01-01 03:30:00-07:00 0.0 NaN 100.000000 \n", "4 1999-01-01 04:30:00-07:00 0.0 NaN 100.000000 \n", "... ... ... ... ... \n", - "8755 1999-12-31 19:30:00-07:00 0.0 NaN 29.749662 \n", - "8756 1999-12-31 20:30:00-07:00 0.0 NaN 29.749662 \n", - "8757 1999-12-31 21:30:00-07:00 0.0 NaN 29.749662 \n", - "8758 1999-12-31 22:30:00-07:00 0.0 NaN 29.749662 \n", - "8759 1999-12-31 23:30:00-07:00 0.0 NaN 29.749662 \n", + "8755 1999-12-31 19:30:00-07:00 0.0 NaN 29.749661 \n", + "8756 1999-12-31 20:30:00-07:00 0.0 NaN 29.749661 \n", + "8757 1999-12-31 21:30:00-07:00 0.0 NaN 29.749661 \n", + "8758 1999-12-31 22:30:00-07:00 0.0 NaN 29.749661 \n", + "8759 1999-12-31 23:30:00-07:00 0.0 NaN 29.749661 \n", "\n", " NB NC tau Jsc Voc Isc \\\n", "0 0.000000e+00 0.000000e+00 120.000000 41.451328 0.661315 9.981480 \n", @@ -2270,10 +2278,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:26.525227Z", - "iopub.status.busy": "2025-10-03T23:02:26.524234Z", - "iopub.status.idle": "2025-10-03T23:02:26.561951Z", - "shell.execute_reply": "2025-10-03T23:02:26.561951Z" + "iopub.execute_input": "2026-02-03T17:45:51.790392Z", + "iopub.status.busy": "2026-02-03T17:45:51.788933Z", + "iopub.status.idle": "2026-02-03T17:45:51.873953Z", + "shell.execute_reply": "2026-02-03T17:45:51.869756Z" } }, "outputs": [ @@ -2335,7 +2343,7 @@ " 0.661315\n", " 9.981480\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2359,7 +2367,7 @@ " 0.661315\n", " 9.981480\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2383,7 +2391,7 @@ " 0.661315\n", " 9.981480\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2407,7 +2415,7 @@ " 0.661315\n", " 9.981480\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2431,7 +2439,7 @@ " 0.661315\n", " 9.981480\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2471,7 +2479,7 @@ " 1999-12-31 19:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2479,7 +2487,7 @@ " 0.656723\n", " 9.955304\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2495,7 +2503,7 @@ " 1999-12-31 20:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2503,7 +2511,7 @@ " 0.656723\n", " 9.955304\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2519,7 +2527,7 @@ " 1999-12-31 21:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2527,7 +2535,7 @@ " 0.656723\n", " 9.955304\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2543,7 +2551,7 @@ " 1999-12-31 22:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2551,7 +2559,7 @@ " 0.656723\n", " 9.955304\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2567,7 +2575,7 @@ " 1999-12-31 23:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -2575,7 +2583,7 @@ " 0.656723\n", " 9.955304\n", " ...\n", - " 0.0\n", + " -0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2599,11 +2607,11 @@ "3 1999-01-01 03:30:00-07:00 0.0 NaN 100.000000 \n", "4 1999-01-01 04:30:00-07:00 0.0 NaN 100.000000 \n", "... ... ... ... ... \n", - "8755 1999-12-31 19:30:00-07:00 0.0 NaN 29.749662 \n", - "8756 1999-12-31 20:30:00-07:00 0.0 NaN 29.749662 \n", - "8757 1999-12-31 21:30:00-07:00 0.0 NaN 29.749662 \n", - "8758 1999-12-31 22:30:00-07:00 0.0 NaN 29.749662 \n", - "8759 1999-12-31 23:30:00-07:00 0.0 NaN 29.749662 \n", + "8755 1999-12-31 19:30:00-07:00 0.0 NaN 29.749661 \n", + "8756 1999-12-31 20:30:00-07:00 0.0 NaN 29.749661 \n", + "8757 1999-12-31 21:30:00-07:00 0.0 NaN 29.749661 \n", + "8758 1999-12-31 22:30:00-07:00 0.0 NaN 29.749661 \n", + "8759 1999-12-31 23:30:00-07:00 0.0 NaN 29.749661 \n", "\n", " NB NC tau Jsc Voc Isc \\\n", "0 0.000000e+00 0.000000e+00 120.000000 41.451328 0.661315 9.981480 \n", @@ -2619,17 +2627,17 @@ "8759 6.666236e+01 3.587983e+00 90.001455 41.342623 0.656723 9.955304 \n", "\n", " ... p_mp i_x i_xx Effective irradiance ghi dhi dni wind_speed \\\n", - "0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.8 \n", - "1 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.7 \n", - "2 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.5 \n", - "3 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 \n", - "4 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 \n", + "0 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.8 \n", + "1 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.7 \n", + "2 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.5 \n", + "3 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 \n", + "4 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 \n", "... ... ... ... ... ... ... ... ... ... \n", - "8755 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9 \n", - "8756 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.2 \n", - "8757 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.6 \n", - "8758 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.7 \n", - "8759 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.8 \n", + "8755 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9 \n", + "8756 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.2 \n", + "8757 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.6 \n", + "8758 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.7 \n", + "8759 ... -0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.8 \n", "\n", " temp_air precipitable_water \n", "0 0.0 0.891869 \n", @@ -2676,16 +2684,16 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:26.564955Z", - "iopub.status.busy": "2025-10-03T23:02:26.563956Z", - "iopub.status.idle": "2025-10-03T23:02:27.439575Z", - "shell.execute_reply": "2025-10-03T23:02:27.439575Z" + "iopub.execute_input": "2026-02-03T17:45:51.884217Z", + "iopub.status.busy": "2026-02-03T17:45:51.882880Z", + "iopub.status.idle": "2026-02-03T17:45:53.867076Z", + "shell.execute_reply": "2026-02-03T17:45:53.863054Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -2734,10 +2742,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:27.442025Z", - "iopub.status.busy": "2025-10-03T23:02:27.441036Z", - "iopub.status.idle": "2025-10-03T23:02:28.116909Z", - "shell.execute_reply": "2025-10-03T23:02:28.116909Z" + "iopub.execute_input": "2026-02-03T17:45:53.877378Z", + "iopub.status.busy": "2026-02-03T17:45:53.875943Z", + "iopub.status.idle": "2026-02-03T17:45:55.194091Z", + "shell.execute_reply": "2026-02-03T17:45:55.190033Z" } }, "outputs": [ @@ -2749,12 +2757,12 @@ " 'Voc', 'Isc', 'FF', 'Pmp', 'Pmp_norm', 'i_sc', 'v_oc', 'i_mp', 'v_mp',\n", " 'p_mp', 'i_x', 'i_xx', 'Effective irradiance', 'ghi', 'dhi', 'dni',\n", " 'wind_speed', 'temp_air', 'precipitable_water'],\n", - " dtype='object')\n" + " dtype='str')\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -2802,10 +2810,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:28.119914Z", - "iopub.status.busy": "2025-10-03T23:02:28.118914Z", - "iopub.status.idle": "2025-10-03T23:02:30.326320Z", - "shell.execute_reply": "2025-10-03T23:02:30.325315Z" + "iopub.execute_input": "2026-02-03T17:45:55.203463Z", + "iopub.status.busy": "2026-02-03T17:45:55.202223Z", + "iopub.status.idle": "2026-02-03T17:46:00.395886Z", + "shell.execute_reply": "2026-02-03T17:46:00.392201Z" } }, "outputs": [ @@ -2817,12 +2825,12 @@ " 'Voc', 'Isc', 'FF', 'Pmp', 'Pmp_norm', 'i_sc', 'v_oc', 'i_mp', 'v_mp',\n", " 'p_mp', 'i_x', 'i_xx', 'Effective irradiance', 'ghi', 'dhi', 'dni',\n", " 'wind_speed', 'temp_air', 'precipitable_water', 'Timedelta'],\n", - " dtype='object')\n" + " dtype='str')\n" ] }, { "data": { - "image/png": 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", + "image/png": 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"text/plain": [ "
" ] @@ -2966,13 +2974,21 @@ "execution_count": 33, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:30.329197Z", - "iopub.status.busy": "2025-10-03T23:02:30.329197Z", - "iopub.status.idle": "2025-10-03T23:02:51.825383Z", - "shell.execute_reply": "2025-10-03T23:02:51.825383Z" + "iopub.execute_input": "2026-02-03T17:46:00.406688Z", + "iopub.status.busy": "2026-02-03T17:46:00.405439Z", + "iopub.status.idle": "2026-02-03T17:46:47.143317Z", + "shell.execute_reply": "2026-02-03T17:46:47.139511Z" } }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\rdaxini\\AppData\\Local\\anaconda3\\envs\\pvdeg313\\Lib\\site-packages\\scipy\\optimize\\_chandrupatla.py:437: RuntimeWarning: invalid value encountered in divide\n", + " C = A / (A + B)\n" + ] + }, { "data": { "text/html": [ @@ -3118,7 +3134,7 @@ " 1999-12-31 19:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3133,7 +3149,7 @@ " 1999-12-31 20:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3148,7 +3164,7 @@ " 1999-12-31 21:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3163,7 +3179,7 @@ " 1999-12-31 22:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3178,7 +3194,7 @@ " 1999-12-31 23:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3203,11 +3219,11 @@ "1999-01-01 03:30:00-07:00 0.0 NaN 100.000000 5.049271e-15 \n", "1999-01-01 04:30:00-07:00 0.0 NaN 100.000000 6.732362e-15 \n", "... ... ... ... ... \n", - "1999-12-31 19:30:00-07:00 0.0 NaN 29.749662 6.666236e+01 \n", - "1999-12-31 20:30:00-07:00 0.0 NaN 29.749662 6.666236e+01 \n", - "1999-12-31 21:30:00-07:00 0.0 NaN 29.749662 6.666236e+01 \n", - "1999-12-31 22:30:00-07:00 0.0 NaN 29.749662 6.666236e+01 \n", - "1999-12-31 23:30:00-07:00 0.0 NaN 29.749662 6.666236e+01 \n", + "1999-12-31 19:30:00-07:00 0.0 NaN 29.749661 6.666236e+01 \n", + "1999-12-31 20:30:00-07:00 0.0 NaN 29.749661 6.666236e+01 \n", + "1999-12-31 21:30:00-07:00 0.0 NaN 29.749661 6.666236e+01 \n", + "1999-12-31 22:30:00-07:00 0.0 NaN 29.749661 6.666236e+01 \n", + "1999-12-31 23:30:00-07:00 0.0 NaN 29.749661 6.666236e+01 \n", "\n", " NC tau Jsc Voc \\\n", "time \n", @@ -3269,10 +3285,10 @@ "execution_count": 34, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:02:51.830492Z", - "iopub.status.busy": "2025-10-03T23:02:51.829494Z", - "iopub.status.idle": "2025-10-03T23:02:51.869245Z", - "shell.execute_reply": "2025-10-03T23:02:51.869245Z" + "iopub.execute_input": "2026-02-03T17:46:47.152956Z", + "iopub.status.busy": "2026-02-03T17:46:47.151574Z", + "iopub.status.idle": "2026-02-03T17:46:47.227951Z", + "shell.execute_reply": "2026-02-03T17:46:47.224900Z" } }, "outputs": [ @@ -3470,7 +3486,7 @@ " 1999-12-31 19:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3494,7 +3510,7 @@ " 1999-12-31 20:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3518,7 +3534,7 @@ " 1999-12-31 21:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3542,7 +3558,7 @@ " 1999-12-31 22:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3566,7 +3582,7 @@ " 1999-12-31 23:30:00-07:00\n", " 0.0\n", " NaN\n", - " 29.749662\n", + " 29.749661\n", " 6.666236e+01\n", " 3.587983e+00\n", " 90.001455\n", @@ -3598,11 +3614,11 @@ "3 1999-01-01 03:30:00-07:00 0.0 NaN 100.000000 \n", "4 1999-01-01 04:30:00-07:00 0.0 NaN 100.000000 \n", "... ... ... ... ... \n", - "8755 1999-12-31 19:30:00-07:00 0.0 NaN 29.749662 \n", - "8756 1999-12-31 20:30:00-07:00 0.0 NaN 29.749662 \n", - "8757 1999-12-31 21:30:00-07:00 0.0 NaN 29.749662 \n", - "8758 1999-12-31 22:30:00-07:00 0.0 NaN 29.749662 \n", - "8759 1999-12-31 23:30:00-07:00 0.0 NaN 29.749662 \n", + "8755 1999-12-31 19:30:00-07:00 0.0 NaN 29.749661 \n", + "8756 1999-12-31 20:30:00-07:00 0.0 NaN 29.749661 \n", + "8757 1999-12-31 21:30:00-07:00 0.0 NaN 29.749661 \n", + "8758 1999-12-31 22:30:00-07:00 0.0 NaN 29.749661 \n", + "8759 1999-12-31 23:30:00-07:00 0.0 NaN 29.749661 \n", "\n", " NB NC tau Jsc Voc Isc \\\n", "0 0.000000e+00 0.000000e+00 120.000000 41.451328 0.661315 9.981480 \n", @@ -3679,7 +3695,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/02_degradation/05_letid_passivated_wafer.ipynb b/tutorials/02_degradation/05_letid_passivated_wafer.ipynb index 80ccf66c..f07f5859 100644 --- a/tutorials/02_degradation/05_letid_passivated_wafer.ipynb +++ b/tutorials/02_degradation/05_letid_passivated_wafer.ipynb @@ -24,13 +24,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:10.302053Z", - "iopub.status.busy": "2025-10-22T16:59:10.302053Z", - "iopub.status.idle": "2025-10-22T16:59:10.308357Z", - "shell.execute_reply": "2025-10-22T16:59:10.308357Z" + "iopub.execute_input": "2026-02-03T17:47:11.707067Z", + "iopub.status.busy": "2026-02-03T17:47:11.706177Z", + "iopub.status.idle": "2026-02-03T17:47:11.725461Z", + "shell.execute_reply": "2026-02-03T17:47:11.721335Z" } }, "outputs": [], @@ -44,10 +44,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:10.312739Z", - "iopub.status.busy": "2025-10-22T16:59:10.312739Z", - "iopub.status.idle": "2025-10-22T16:59:20.533572Z", - "shell.execute_reply": "2025-10-22T16:59:20.531232Z" + "iopub.execute_input": "2026-02-03T17:47:11.736040Z", + "iopub.status.busy": "2026-02-03T17:47:11.734685Z", + "iopub.status.idle": "2026-02-03T17:47:25.327236Z", + "shell.execute_reply": "2026-02-03T17:47:25.324054Z" } }, "outputs": [], @@ -65,10 +65,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:20.541155Z", - "iopub.status.busy": "2025-10-22T16:59:20.540157Z", - "iopub.status.idle": "2025-10-22T16:59:20.558782Z", - "shell.execute_reply": "2025-10-22T16:59:20.557764Z" + "iopub.execute_input": "2026-02-03T17:47:25.333768Z", + "iopub.status.busy": "2026-02-03T17:47:25.332320Z", + "iopub.status.idle": "2026-02-03T17:47:25.344007Z", + "shell.execute_reply": "2026-02-03T17:47:25.341862Z" } }, "outputs": [ @@ -77,9 +77,9 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.12.9 | packaged by Anaconda, Inc. | (main, Feb 6 2025, 18:49:16) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.2.3\n", - "pvdeg version 0.5.1.dev623+g51cc68b8e.d20250905\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -107,10 +107,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:20.620843Z", - "iopub.status.busy": "2025-10-22T16:59:20.619844Z", - "iopub.status.idle": "2025-10-22T16:59:21.373027Z", - "shell.execute_reply": "2025-10-22T16:59:21.372014Z" + "iopub.execute_input": "2026-02-03T17:47:25.414578Z", + "iopub.status.busy": "2026-02-03T17:47:25.413640Z", + "iopub.status.idle": "2026-02-03T17:47:25.904116Z", + "shell.execute_reply": "2026-02-03T17:47:25.901978Z" } }, "outputs": [], @@ -146,10 +146,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.380025Z", - "iopub.status.busy": "2025-10-22T16:59:21.380025Z", - "iopub.status.idle": "2025-10-22T16:59:21.391538Z", - "shell.execute_reply": "2025-10-22T16:59:21.390183Z" + "iopub.execute_input": "2026-02-03T17:47:25.910791Z", + "iopub.status.busy": "2026-02-03T17:47:25.909713Z", + "iopub.status.idle": "2026-02-03T17:47:25.920929Z", + "shell.execute_reply": "2026-02-03T17:47:25.918575Z" } }, "outputs": [], @@ -171,10 +171,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.398554Z", - "iopub.status.busy": "2025-10-22T16:59:21.396551Z", - "iopub.status.idle": "2025-10-22T16:59:21.419786Z", - "shell.execute_reply": "2025-10-22T16:59:21.419786Z" + "iopub.execute_input": "2026-02-03T17:47:25.927432Z", + "iopub.status.busy": "2026-02-03T17:47:25.926673Z", + "iopub.status.idle": "2026-02-03T17:47:25.941769Z", + "shell.execute_reply": "2026-02-03T17:47:25.939055Z" } }, "outputs": [ @@ -211,10 +211,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.423034Z", - "iopub.status.busy": "2025-10-22T16:59:21.423034Z", - "iopub.status.idle": "2025-10-22T16:59:21.435202Z", - "shell.execute_reply": "2025-10-22T16:59:21.434694Z" + "iopub.execute_input": "2026-02-03T17:47:25.948553Z", + "iopub.status.busy": "2026-02-03T17:47:25.947744Z", + "iopub.status.idle": "2026-02-03T17:47:25.962923Z", + "shell.execute_reply": "2026-02-03T17:47:25.960398Z" } }, "outputs": [ @@ -267,10 +267,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.437211Z", - "iopub.status.busy": "2025-10-22T16:59:21.437211Z", - "iopub.status.idle": "2025-10-22T16:59:21.443720Z", - "shell.execute_reply": "2025-10-22T16:59:21.443215Z" + "iopub.execute_input": "2026-02-03T17:47:25.969488Z", + "iopub.status.busy": "2026-02-03T17:47:25.968385Z", + "iopub.status.idle": "2026-02-03T17:47:25.980216Z", + "shell.execute_reply": "2026-02-03T17:47:25.978023Z" } }, "outputs": [ @@ -295,10 +295,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.445724Z", - "iopub.status.busy": "2025-10-22T16:59:21.445724Z", - "iopub.status.idle": "2025-10-22T16:59:21.453231Z", - "shell.execute_reply": "2025-10-22T16:59:21.452228Z" + "iopub.execute_input": "2026-02-03T17:47:25.984992Z", + "iopub.status.busy": "2026-02-03T17:47:25.984346Z", + "iopub.status.idle": "2026-02-03T17:47:25.994510Z", + "shell.execute_reply": "2026-02-03T17:47:25.992561Z" } }, "outputs": [ @@ -334,10 +334,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.460317Z", - "iopub.status.busy": "2025-10-22T16:59:21.458295Z", - "iopub.status.idle": "2025-10-22T16:59:21.467891Z", - "shell.execute_reply": "2025-10-22T16:59:21.466878Z" + "iopub.execute_input": "2026-02-03T17:47:25.999252Z", + "iopub.status.busy": "2026-02-03T17:47:25.998594Z", + "iopub.status.idle": "2026-02-03T17:47:26.005931Z", + "shell.execute_reply": "2026-02-03T17:47:26.003942Z" } }, "outputs": [], @@ -351,10 +351,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.477624Z", - "iopub.status.busy": "2025-10-22T16:59:21.476587Z", - "iopub.status.idle": "2025-10-22T16:59:21.489287Z", - "shell.execute_reply": "2025-10-22T16:59:21.488109Z" + "iopub.execute_input": "2026-02-03T17:47:26.010800Z", + "iopub.status.busy": "2026-02-03T17:47:26.010140Z", + "iopub.status.idle": "2026-02-03T17:47:26.021792Z", + "shell.execute_reply": "2026-02-03T17:47:26.019408Z" } }, "outputs": [ @@ -389,10 +389,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.492227Z", - "iopub.status.busy": "2025-10-22T16:59:21.492227Z", - "iopub.status.idle": "2025-10-22T16:59:21.515979Z", - "shell.execute_reply": "2025-10-22T16:59:21.514882Z" + "iopub.execute_input": "2026-02-03T17:47:26.027037Z", + "iopub.status.busy": "2026-02-03T17:47:26.026335Z", + "iopub.status.idle": "2026-02-03T17:47:26.051644Z", + "shell.execute_reply": "2026-02-03T17:47:26.049310Z" } }, "outputs": [], @@ -430,10 +430,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.522002Z", - "iopub.status.busy": "2025-10-22T16:59:21.522002Z", - "iopub.status.idle": "2025-10-22T16:59:21.559013Z", - "shell.execute_reply": "2025-10-22T16:59:21.556427Z" + "iopub.execute_input": "2026-02-03T17:47:26.058070Z", + "iopub.status.busy": "2026-02-03T17:47:26.057270Z", + "iopub.status.idle": "2026-02-03T17:47:26.089574Z", + "shell.execute_reply": "2026-02-03T17:47:26.087401Z" } }, "outputs": [ @@ -622,10 +622,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T16:59:21.564033Z", - "iopub.status.busy": "2025-10-22T16:59:21.563035Z", - "iopub.status.idle": "2025-10-22T17:00:37.384044Z", - "shell.execute_reply": "2025-10-22T17:00:37.382518Z" + "iopub.execute_input": "2026-02-03T17:47:26.095181Z", + "iopub.status.busy": "2026-02-03T17:47:26.094513Z", + "iopub.status.idle": "2026-02-03T17:48:30.421799Z", + "shell.execute_reply": "2026-02-03T17:48:30.419096Z" } }, "outputs": [], @@ -706,10 +706,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:00:37.390567Z", - "iopub.status.busy": "2025-10-22T17:00:37.389566Z", - "iopub.status.idle": "2025-10-22T17:00:37.409625Z", - "shell.execute_reply": "2025-10-22T17:00:37.408613Z" + "iopub.execute_input": "2026-02-03T17:48:30.427791Z", + "iopub.status.busy": "2026-02-03T17:48:30.427076Z", + "iopub.status.idle": "2026-02-03T17:48:30.445153Z", + "shell.execute_reply": "2026-02-03T17:48:30.442945Z" } }, "outputs": [], @@ -728,10 +728,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:00:37.415624Z", - "iopub.status.busy": "2025-10-22T17:00:37.414626Z", - "iopub.status.idle": "2025-10-22T17:00:37.446276Z", - "shell.execute_reply": "2025-10-22T17:00:37.445253Z" + "iopub.execute_input": "2026-02-03T17:48:30.452056Z", + "iopub.status.busy": "2026-02-03T17:48:30.451247Z", + "iopub.status.idle": "2026-02-03T17:48:30.484852Z", + "shell.execute_reply": "2026-02-03T17:48:30.482330Z" } }, "outputs": [ @@ -956,16 +956,16 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:00:37.451832Z", - "iopub.status.busy": "2025-10-22T17:00:37.450833Z", - "iopub.status.idle": "2025-10-22T17:00:39.606970Z", - "shell.execute_reply": "2025-10-22T17:00:39.605954Z" + "iopub.execute_input": "2026-02-03T17:48:30.491342Z", + "iopub.status.busy": "2026-02-03T17:48:30.490322Z", + "iopub.status.idle": "2026-02-03T17:48:31.639929Z", + "shell.execute_reply": "2026-02-03T17:48:31.636988Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1031,10 +1031,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:00:39.613845Z", - "iopub.status.busy": "2025-10-22T17:00:39.611717Z", - "iopub.status.idle": "2025-10-22T17:00:39.621324Z", - "shell.execute_reply": "2025-10-22T17:00:39.620312Z" + "iopub.execute_input": "2026-02-03T17:48:31.647609Z", + "iopub.status.busy": "2026-02-03T17:48:31.646606Z", + "iopub.status.idle": "2026-02-03T17:48:31.656002Z", + "shell.execute_reply": "2026-02-03T17:48:31.652583Z" } }, "outputs": [], @@ -1047,10 +1047,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:00:39.625568Z", - "iopub.status.busy": "2025-10-22T17:00:39.625568Z", - "iopub.status.idle": "2025-10-22T17:00:39.632019Z", - "shell.execute_reply": "2025-10-22T17:00:39.631497Z" + "iopub.execute_input": "2026-02-03T17:48:31.663817Z", + "iopub.status.busy": "2026-02-03T17:48:31.662555Z", + "iopub.status.idle": "2026-02-03T17:48:31.672612Z", + "shell.execute_reply": "2026-02-03T17:48:31.669839Z" } }, "outputs": [], @@ -1063,10 +1063,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:00:39.635751Z", - "iopub.status.busy": "2025-10-22T17:00:39.635751Z", - "iopub.status.idle": "2025-10-22T17:00:39.653895Z", - "shell.execute_reply": "2025-10-22T17:00:39.653385Z" + "iopub.execute_input": "2026-02-03T17:48:31.681062Z", + "iopub.status.busy": "2026-02-03T17:48:31.679765Z", + "iopub.status.idle": "2026-02-03T17:48:31.705858Z", + "shell.execute_reply": "2026-02-03T17:48:31.703032Z" } }, "outputs": [], @@ -1104,10 +1104,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:00:39.658405Z", - "iopub.status.busy": "2025-10-22T17:00:39.656910Z", - "iopub.status.idle": "2025-10-22T17:01:53.837381Z", - "shell.execute_reply": "2025-10-22T17:01:53.836109Z" + "iopub.execute_input": "2026-02-03T17:48:31.711840Z", + "iopub.status.busy": "2026-02-03T17:48:31.710845Z", + "iopub.status.idle": "2026-02-03T17:49:41.111632Z", + "shell.execute_reply": "2026-02-03T17:49:41.109174Z" } }, "outputs": [], @@ -1176,10 +1176,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:01:53.842470Z", - "iopub.status.busy": "2025-10-22T17:01:53.841470Z", - "iopub.status.idle": "2025-10-22T17:01:53.858554Z", - "shell.execute_reply": "2025-10-22T17:01:53.858554Z" + "iopub.execute_input": "2026-02-03T17:49:41.118022Z", + "iopub.status.busy": "2026-02-03T17:49:41.117275Z", + "iopub.status.idle": "2026-02-03T17:49:41.133254Z", + "shell.execute_reply": "2026-02-03T17:49:41.130588Z" } }, "outputs": [], @@ -1196,10 +1196,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:01:53.863570Z", - "iopub.status.busy": "2025-10-22T17:01:53.862566Z", - "iopub.status.idle": "2025-10-22T17:01:53.869737Z", - "shell.execute_reply": "2025-10-22T17:01:53.868725Z" + "iopub.execute_input": "2026-02-03T17:49:41.138820Z", + "iopub.status.busy": "2026-02-03T17:49:41.138068Z", + "iopub.status.idle": "2026-02-03T17:49:41.146436Z", + "shell.execute_reply": "2026-02-03T17:49:41.143977Z" } }, "outputs": [], @@ -1212,10 +1212,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:01:53.876736Z", - "iopub.status.busy": "2025-10-22T17:01:53.875735Z", - "iopub.status.idle": "2025-10-22T17:01:53.901100Z", - "shell.execute_reply": "2025-10-22T17:01:53.900086Z" + "iopub.execute_input": "2026-02-03T17:49:41.153821Z", + "iopub.status.busy": "2026-02-03T17:49:41.153101Z", + "iopub.status.idle": "2026-02-03T17:49:41.180205Z", + "shell.execute_reply": "2026-02-03T17:49:41.177059Z" } }, "outputs": [], @@ -1253,10 +1253,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:01:53.907105Z", - "iopub.status.busy": "2025-10-22T17:01:53.906102Z", - "iopub.status.idle": "2025-10-22T17:03:13.879308Z", - "shell.execute_reply": "2025-10-22T17:03:13.878268Z" + "iopub.execute_input": "2026-02-03T17:49:41.186293Z", + "iopub.status.busy": "2026-02-03T17:49:41.185533Z", + "iopub.status.idle": "2026-02-03T17:51:10.038816Z", + "shell.execute_reply": "2026-02-03T17:51:10.036180Z" } }, "outputs": [], @@ -1325,10 +1325,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:13.884816Z", - "iopub.status.busy": "2025-10-22T17:03:13.883309Z", - "iopub.status.idle": "2025-10-22T17:03:13.905340Z", - "shell.execute_reply": "2025-10-22T17:03:13.904238Z" + "iopub.execute_input": "2026-02-03T17:51:10.045605Z", + "iopub.status.busy": "2026-02-03T17:51:10.044684Z", + "iopub.status.idle": "2026-02-03T17:51:10.073666Z", + "shell.execute_reply": "2026-02-03T17:51:10.069848Z" } }, "outputs": [], @@ -1345,10 +1345,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:13.911342Z", - "iopub.status.busy": "2025-10-22T17:03:13.910343Z", - "iopub.status.idle": "2025-10-22T17:03:13.917852Z", - "shell.execute_reply": "2025-10-22T17:03:13.917343Z" + "iopub.execute_input": "2026-02-03T17:51:10.082305Z", + "iopub.status.busy": "2026-02-03T17:51:10.081136Z", + "iopub.status.idle": "2026-02-03T17:51:10.097406Z", + "shell.execute_reply": "2026-02-03T17:51:10.090896Z" } }, "outputs": [], @@ -1361,10 +1361,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:13.922863Z", - "iopub.status.busy": "2025-10-22T17:03:13.922863Z", - "iopub.status.idle": "2025-10-22T17:03:13.946289Z", - "shell.execute_reply": "2025-10-22T17:03:13.946289Z" + "iopub.execute_input": "2026-02-03T17:51:10.106796Z", + "iopub.status.busy": "2026-02-03T17:51:10.105354Z", + "iopub.status.idle": "2026-02-03T17:51:10.138833Z", + "shell.execute_reply": "2026-02-03T17:51:10.134729Z" } }, "outputs": [], @@ -1377,10 +1377,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:13.950758Z", - "iopub.status.busy": "2025-10-22T17:03:13.950758Z", - "iopub.status.idle": "2025-10-22T17:03:13.968415Z", - "shell.execute_reply": "2025-10-22T17:03:13.968415Z" + "iopub.execute_input": "2026-02-03T17:51:10.149112Z", + "iopub.status.busy": "2026-02-03T17:51:10.147894Z", + "iopub.status.idle": "2026-02-03T17:51:10.173459Z", + "shell.execute_reply": "2026-02-03T17:51:10.169972Z" } }, "outputs": [], @@ -1402,10 +1402,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:13.973472Z", - "iopub.status.busy": "2025-10-22T17:03:13.972469Z", - "iopub.status.idle": "2025-10-22T17:03:13.980179Z", - "shell.execute_reply": "2025-10-22T17:03:13.979659Z" + "iopub.execute_input": "2026-02-03T17:51:10.180797Z", + "iopub.status.busy": "2026-02-03T17:51:10.179767Z", + "iopub.status.idle": "2026-02-03T17:51:10.191164Z", + "shell.execute_reply": "2026-02-03T17:51:10.187921Z" } }, "outputs": [], @@ -1418,10 +1418,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:13.984689Z", - "iopub.status.busy": "2025-10-22T17:03:13.983183Z", - "iopub.status.idle": "2025-10-22T17:03:13.997059Z", - "shell.execute_reply": "2025-10-22T17:03:13.996049Z" + "iopub.execute_input": "2026-02-03T17:51:10.199702Z", + "iopub.status.busy": "2026-02-03T17:51:10.198831Z", + "iopub.status.idle": "2026-02-03T17:51:10.222139Z", + "shell.execute_reply": "2026-02-03T17:51:10.218179Z" } }, "outputs": [], @@ -1440,10 +1440,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:14.001059Z", - "iopub.status.busy": "2025-10-22T17:03:14.000059Z", - "iopub.status.idle": "2025-10-22T17:03:14.007950Z", - "shell.execute_reply": "2025-10-22T17:03:14.006940Z" + "iopub.execute_input": "2026-02-03T17:51:10.231811Z", + "iopub.status.busy": "2026-02-03T17:51:10.230717Z", + "iopub.status.idle": "2026-02-03T17:51:10.245332Z", + "shell.execute_reply": "2026-02-03T17:51:10.241561Z" } }, "outputs": [], @@ -1456,16 +1456,16 @@ "execution_count": 33, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:14.012165Z", - "iopub.status.busy": "2025-10-22T17:03:14.011156Z", - "iopub.status.idle": "2025-10-22T17:03:15.475280Z", - "shell.execute_reply": "2025-10-22T17:03:15.471900Z" + "iopub.execute_input": "2026-02-03T17:51:10.253527Z", + "iopub.status.busy": "2026-02-03T17:51:10.252366Z", + "iopub.status.idle": "2026-02-03T17:51:11.873525Z", + "shell.execute_reply": "2026-02-03T17:51:11.870353Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1512,16 +1512,16 @@ "execution_count": 34, "metadata": { "execution": { - "iopub.execute_input": "2025-10-22T17:03:15.483277Z", - "iopub.status.busy": "2025-10-22T17:03:15.482278Z", - "iopub.status.idle": "2025-10-22T17:03:17.074908Z", - "shell.execute_reply": "2025-10-22T17:03:17.073753Z" + "iopub.execute_input": "2026-02-03T17:51:11.882585Z", + "iopub.status.busy": "2026-02-03T17:51:11.881397Z", + "iopub.status.idle": "2026-02-03T17:51:13.804002Z", + "shell.execute_reply": "2026-02-03T17:51:13.800420Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1595,7 +1595,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/02_degradation/06_vant_hoff_degradation_model.ipynb b/tutorials/02_degradation/06_vant_hoff_degradation_model.ipynb index 69020647..0c96e5a2 100644 --- a/tutorials/02_degradation/06_vant_hoff_degradation_model.ipynb +++ b/tutorials/02_degradation/06_vant_hoff_degradation_model.ipynb @@ -27,13 +27,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:13:33.974180Z", - "iopub.status.busy": "2025-10-03T23:13:33.974180Z", - "iopub.status.idle": "2025-10-03T23:13:33.980324Z", - "shell.execute_reply": "2025-10-03T23:13:33.980324Z" + "iopub.execute_input": "2026-02-03T17:51:38.867976Z", + "iopub.status.busy": "2026-02-03T17:51:38.866279Z", + "iopub.status.idle": "2026-02-03T17:51:38.888917Z", + "shell.execute_reply": "2026-02-03T17:51:38.885296Z" } }, "outputs": [], @@ -47,10 +47,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:13:33.985336Z", - "iopub.status.busy": "2025-10-03T23:13:33.984335Z", - "iopub.status.idle": "2025-10-03T23:13:40.796466Z", - "shell.execute_reply": "2025-10-03T23:13:40.795458Z" + "iopub.execute_input": "2026-02-03T17:51:38.898101Z", + "iopub.status.busy": "2026-02-03T17:51:38.897165Z", + "iopub.status.idle": "2026-02-03T17:51:55.047547Z", + "shell.execute_reply": "2026-02-03T17:51:55.043189Z" } }, "outputs": [], @@ -75,10 +75,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:13:40.800464Z", - "iopub.status.busy": "2025-10-03T23:13:40.799465Z", - "iopub.status.idle": "2025-10-03T23:13:41.116200Z", - "shell.execute_reply": "2025-10-03T23:13:41.115193Z" + "iopub.execute_input": "2026-02-03T17:51:55.058544Z", + "iopub.status.busy": "2026-02-03T17:51:55.056002Z", + "iopub.status.idle": "2026-02-03T17:51:55.233971Z", + "shell.execute_reply": "2026-02-03T17:51:55.228813Z" } }, "outputs": [ @@ -117,10 +117,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:13:41.119211Z", - "iopub.status.busy": "2025-10-03T23:13:41.119211Z", - "iopub.status.idle": "2025-10-03T23:13:41.193714Z", - "shell.execute_reply": "2025-10-03T23:13:41.193714Z" + "iopub.execute_input": "2026-02-03T17:51:55.329735Z", + "iopub.status.busy": "2026-02-03T17:51:55.327266Z", + "iopub.status.idle": "2026-02-03T17:51:55.468546Z", + "shell.execute_reply": "2026-02-03T17:51:55.463282Z" } }, "outputs": [ @@ -128,7 +128,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used." + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] } @@ -164,10 +171,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-10-03T23:13:41.197726Z", - "iopub.status.busy": "2025-10-03T23:13:41.196727Z", - "iopub.status.idle": "2025-10-03T23:13:41.207038Z", - "shell.execute_reply": "2025-10-03T23:13:41.206031Z" + "iopub.execute_input": "2026-02-03T17:51:55.480564Z", + "iopub.status.busy": "2026-02-03T17:51:55.479362Z", + "iopub.status.idle": "2026-02-03T17:51:55.504534Z", + "shell.execute_reply": "2026-02-03T17:51:55.500327Z" }, "scrolled": false }, @@ -240,10 +247,10 @@ "metadata": { "collapsed": true, "execution": { - "iopub.execute_input": "2025-10-03T23:13:41.210041Z", - "iopub.status.busy": "2025-10-03T23:13:41.209042Z", - "iopub.status.idle": "2025-10-03T23:13:41.223571Z", - "shell.execute_reply": "2025-10-03T23:13:41.223571Z" + "iopub.execute_input": "2026-02-03T17:51:55.514842Z", + "iopub.status.busy": "2026-02-03T17:51:55.513486Z", + "iopub.status.idle": "2026-02-03T17:51:55.548376Z", + "shell.execute_reply": "2026-02-03T17:51:55.544402Z" } }, "outputs": [], @@ -296,10 +303,10 @@ "metadata": { "collapsed": true, "execution": { - "iopub.execute_input": "2025-10-03T23:13:41.227577Z", - "iopub.status.busy": "2025-10-03T23:13:41.226575Z", - "iopub.status.idle": "2025-10-03T23:13:41.369462Z", - "shell.execute_reply": "2025-10-03T23:13:41.369462Z" + "iopub.execute_input": "2026-02-03T17:51:55.557924Z", + "iopub.status.busy": "2026-02-03T17:51:55.556596Z", + "iopub.status.idle": "2026-02-03T17:51:55.805307Z", + "shell.execute_reply": "2026-02-03T17:51:55.801270Z" } }, "outputs": [ @@ -308,7 +315,13 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -336,10 +349,10 @@ "metadata": { "collapsed": true, "execution": { - "iopub.execute_input": "2025-10-03T23:13:41.371473Z", - "iopub.status.busy": "2025-10-03T23:13:41.371473Z", - "iopub.status.idle": "2025-10-03T23:13:41.493662Z", - "shell.execute_reply": "2025-10-03T23:13:41.493662Z" + "iopub.execute_input": "2026-02-03T17:51:55.813110Z", + "iopub.status.busy": "2026-02-03T17:51:55.811789Z", + "iopub.status.idle": "2026-02-03T17:51:56.083539Z", + "shell.execute_reply": "2026-02-03T17:51:56.080892Z" } }, "outputs": [ @@ -348,7 +361,13 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -391,10 +410,10 @@ "metadata": { "collapsed": true, "execution": { - "iopub.execute_input": "2025-10-03T23:13:41.496668Z", - "iopub.status.busy": "2025-10-03T23:13:41.496668Z", - "iopub.status.idle": "2025-10-03T23:13:41.562841Z", - "shell.execute_reply": "2025-10-03T23:13:41.562841Z" + "iopub.execute_input": "2026-02-03T17:51:56.094432Z", + "iopub.status.busy": "2026-02-03T17:51:56.093332Z", + "iopub.status.idle": "2026-02-03T17:51:56.282216Z", + "shell.execute_reply": "2026-02-03T17:51:56.277864Z" } }, "outputs": [ @@ -429,10 +448,10 @@ "metadata": { "collapsed": true, "execution": { - "iopub.execute_input": "2025-10-03T23:13:41.566217Z", - "iopub.status.busy": "2025-10-03T23:13:41.566217Z", - "iopub.status.idle": "2025-10-03T23:13:41.593748Z", - "shell.execute_reply": "2025-10-03T23:13:41.593748Z" + "iopub.execute_input": "2026-02-03T17:51:56.291513Z", + "iopub.status.busy": "2026-02-03T17:51:56.290061Z", + "iopub.status.idle": "2026-02-03T17:51:56.372073Z", + "shell.execute_reply": "2026-02-03T17:51:56.368636Z" } }, "outputs": [ @@ -481,7 +500,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/03_monte_carlo/01_arrhenius.ipynb b/tutorials/03_monte_carlo/01_arrhenius.ipynb index 756a22da..c8fcd05a 100644 --- a/tutorials/03_monte_carlo/01_arrhenius.ipynb +++ b/tutorials/03_monte_carlo/01_arrhenius.ipynb @@ -20,10 +20,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:15.032282Z", - "iopub.status.busy": "2025-12-03T15:31:15.031913Z", - "iopub.status.idle": "2025-12-03T15:31:15.040663Z", - "shell.execute_reply": "2025-12-03T15:31:15.039288Z" + "iopub.execute_input": "2026-02-03T17:52:20.663855Z", + "iopub.status.busy": "2026-02-03T17:52:20.662567Z", + "iopub.status.idle": "2026-02-03T17:52:20.680630Z", + "shell.execute_reply": "2026-02-03T17:52:20.677623Z" } }, "outputs": [], @@ -37,10 +37,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:15.044488Z", - "iopub.status.busy": "2025-12-03T15:31:15.043962Z", - "iopub.status.idle": "2025-12-03T15:31:20.038842Z", - "shell.execute_reply": "2025-12-03T15:31:20.037554Z" + "iopub.execute_input": "2026-02-03T17:52:20.690140Z", + "iopub.status.busy": "2026-02-03T17:52:20.688924Z", + "iopub.status.idle": "2026-02-03T17:52:36.613439Z", + "shell.execute_reply": "2026-02-03T17:52:36.608957Z" } }, "outputs": [], @@ -57,10 +57,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.042026Z", - "iopub.status.busy": "2025-12-03T15:31:20.041346Z", - "iopub.status.idle": "2025-12-03T15:31:20.047578Z", - "shell.execute_reply": "2025-12-03T15:31:20.046538Z" + "iopub.execute_input": "2026-02-03T17:52:36.624112Z", + "iopub.status.busy": "2026-02-03T17:52:36.621960Z", + "iopub.status.idle": "2026-02-03T17:52:36.639800Z", + "shell.execute_reply": "2026-02-03T17:52:36.635746Z" } }, "outputs": [ @@ -69,10 +69,10 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.13.5 | packaged by Anaconda, Inc. | (main, Jun 12 2025, 16:37:03) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.3.3\n", - "Pvlib version 0.13.0\n", - "pvdeg version 0.5.1.dev857+g1a511e445.d20251004\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "Pvlib version 0.14.0\n", + "pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -126,10 +126,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.097200Z", - "iopub.status.busy": "2025-12-03T15:31:20.096701Z", - "iopub.status.idle": "2025-12-03T15:31:20.103960Z", - "shell.execute_reply": "2025-12-03T15:31:20.102520Z" + "iopub.execute_input": "2026-02-03T17:52:36.740634Z", + "iopub.status.busy": "2026-02-03T17:52:36.739307Z", + "iopub.status.idle": "2026-02-03T17:52:36.753370Z", + "shell.execute_reply": "2026-02-03T17:52:36.749617Z" } }, "outputs": [], @@ -146,10 +146,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.107319Z", - "iopub.status.busy": "2025-12-03T15:31:20.106724Z", - "iopub.status.idle": "2025-12-03T15:31:20.117397Z", - "shell.execute_reply": "2025-12-03T15:31:20.116034Z" + "iopub.execute_input": "2026-02-03T17:52:36.761440Z", + "iopub.status.busy": "2026-02-03T17:52:36.760324Z", + "iopub.status.idle": "2026-02-03T17:52:36.781574Z", + "shell.execute_reply": "2026-02-03T17:52:36.778201Z" } }, "outputs": [ @@ -181,10 +181,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.120132Z", - "iopub.status.busy": "2025-12-03T15:31:20.119666Z", - "iopub.status.idle": "2025-12-03T15:31:20.125912Z", - "shell.execute_reply": "2025-12-03T15:31:20.124292Z" + "iopub.execute_input": "2026-02-03T17:52:36.790246Z", + "iopub.status.busy": "2026-02-03T17:52:36.788979Z", + "iopub.status.idle": "2026-02-03T17:52:36.803990Z", + "shell.execute_reply": "2026-02-03T17:52:36.800085Z" } }, "outputs": [], @@ -212,10 +212,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.129997Z", - "iopub.status.busy": "2025-12-03T15:31:20.129316Z", - "iopub.status.idle": "2025-12-03T15:31:20.146975Z", - "shell.execute_reply": "2025-12-03T15:31:20.145783Z" + "iopub.execute_input": "2026-02-03T17:52:36.814434Z", + "iopub.status.busy": "2026-02-03T17:52:36.813309Z", + "iopub.status.idle": "2026-02-03T17:52:36.868791Z", + "shell.execute_reply": "2026-02-03T17:52:36.865316Z" } }, "outputs": [ @@ -263,10 +263,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.150007Z", - "iopub.status.busy": "2025-12-03T15:31:20.149630Z", - "iopub.status.idle": "2025-12-03T15:31:20.160415Z", - "shell.execute_reply": "2025-12-03T15:31:20.158947Z" + "iopub.execute_input": "2026-02-03T17:52:36.877281Z", + "iopub.status.busy": "2026-02-03T17:52:36.876433Z", + "iopub.status.idle": "2026-02-03T17:52:36.905334Z", + "shell.execute_reply": "2026-02-03T17:52:36.901247Z" } }, "outputs": [ @@ -315,10 +315,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.163198Z", - "iopub.status.busy": "2025-12-03T15:31:20.162833Z", - "iopub.status.idle": "2025-12-03T15:31:20.360649Z", - "shell.execute_reply": "2025-12-03T15:31:20.358431Z" + "iopub.execute_input": "2026-02-03T17:52:36.914870Z", + "iopub.status.busy": "2026-02-03T17:52:36.913446Z", + "iopub.status.idle": "2026-02-03T17:52:37.294584Z", + "shell.execute_reply": "2026-02-03T17:52:37.290567Z" } }, "outputs": [], @@ -354,10 +354,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.364493Z", - "iopub.status.busy": "2025-12-03T15:31:20.364050Z", - "iopub.status.idle": "2025-12-03T15:31:20.457855Z", - "shell.execute_reply": "2025-12-03T15:31:20.456610Z" + "iopub.execute_input": "2026-02-03T17:52:37.303564Z", + "iopub.status.busy": "2026-02-03T17:52:37.302568Z", + "iopub.status.idle": "2026-02-03T17:52:37.547955Z", + "shell.execute_reply": "2026-02-03T17:52:37.544206Z" } }, "outputs": [ @@ -387,10 +387,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.461103Z", - "iopub.status.busy": "2025-12-03T15:31:20.460643Z", - "iopub.status.idle": "2025-12-03T15:31:20.465621Z", - "shell.execute_reply": "2025-12-03T15:31:20.464493Z" + "iopub.execute_input": "2026-02-03T17:52:37.557302Z", + "iopub.status.busy": "2026-02-03T17:52:37.555946Z", + "iopub.status.idle": "2026-02-03T17:52:37.568361Z", + "shell.execute_reply": "2026-02-03T17:52:37.565069Z" } }, "outputs": [], @@ -413,10 +413,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.468825Z", - "iopub.status.busy": "2025-12-03T15:31:20.468211Z", - "iopub.status.idle": "2025-12-03T15:31:20.474781Z", - "shell.execute_reply": "2025-12-03T15:31:20.473547Z" + "iopub.execute_input": "2026-02-03T17:52:37.578370Z", + "iopub.status.busy": "2026-02-03T17:52:37.577025Z", + "iopub.status.idle": "2026-02-03T17:52:37.593750Z", + "shell.execute_reply": "2026-02-03T17:52:37.589979Z" } }, "outputs": [ @@ -428,9 +428,9 @@ "\n", "simulate(\n", " func: Callable,\n", - " correlated_samples: pandas.core.frame.DataFrame,\n", + " correlated_samples: pandas.DataFrame,\n", " **function_kwargs\n", - ") -> pandas.core.series.Series\n", + ") -> pandas.Series\n", " Apply a target function to data to preform a monte carlo simulation.\n", "\n", " If you get\n", @@ -479,10 +479,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:31:20.477332Z", - "iopub.status.busy": "2025-12-03T15:31:20.477063Z", - "iopub.status.idle": "2025-12-03T15:35:18.449107Z", - "shell.execute_reply": "2025-12-03T15:35:18.447068Z" + "iopub.execute_input": "2026-02-03T17:52:37.604062Z", + "iopub.status.busy": "2026-02-03T17:52:37.602525Z", + "iopub.status.idle": "2026-02-03T18:00:22.996956Z", + "shell.execute_reply": "2026-02-03T18:00:22.993537Z" } }, "outputs": [], @@ -505,16 +505,16 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:35:18.455337Z", - "iopub.status.busy": "2025-12-03T15:35:18.454707Z", - "iopub.status.idle": "2025-12-03T15:35:18.719442Z", - "shell.execute_reply": "2025-12-03T15:35:18.717883Z" + "iopub.execute_input": "2026-02-03T18:00:23.004539Z", + "iopub.status.busy": "2026-02-03T18:00:23.003724Z", + "iopub.status.idle": "2026-02-03T18:00:23.422424Z", + "shell.execute_reply": "2026-02-03T18:00:23.419050Z" } }, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -568,7 +568,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.5" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/03_monte_carlo/02_standoff.ipynb b/tutorials/03_monte_carlo/02_standoff.ipynb index 03d2cee1..64460b1c 100644 --- a/tutorials/03_monte_carlo/02_standoff.ipynb +++ b/tutorials/03_monte_carlo/02_standoff.ipynb @@ -15,10 +15,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:33.351632Z", - "iopub.status.busy": "2025-12-03T15:54:33.351415Z", - "iopub.status.idle": "2025-12-03T15:54:33.358225Z", - "shell.execute_reply": "2025-12-03T15:54:33.357110Z" + "iopub.execute_input": "2026-02-03T20:01:14.422841Z", + "iopub.status.busy": "2026-02-03T20:01:14.422162Z", + "iopub.status.idle": "2026-02-03T20:01:14.429236Z", + "shell.execute_reply": "2026-02-03T20:01:14.427912Z" } }, "outputs": [], @@ -32,10 +32,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:33.361134Z", - "iopub.status.busy": "2025-12-03T15:54:33.360799Z", - "iopub.status.idle": "2025-12-03T15:54:37.373528Z", - "shell.execute_reply": "2025-12-03T15:54:37.372335Z" + "iopub.execute_input": "2026-02-03T20:01:14.431283Z", + "iopub.status.busy": "2026-02-03T20:01:14.431049Z", + "iopub.status.idle": "2026-02-03T20:01:21.815337Z", + "shell.execute_reply": "2026-02-03T20:01:21.813455Z" } }, "outputs": [], @@ -53,10 +53,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:37.376756Z", - "iopub.status.busy": "2025-12-03T15:54:37.376236Z", - "iopub.status.idle": "2025-12-03T15:54:37.382012Z", - "shell.execute_reply": "2025-12-03T15:54:37.381258Z" + "iopub.execute_input": "2026-02-03T20:01:21.821158Z", + "iopub.status.busy": "2026-02-03T20:01:21.819992Z", + "iopub.status.idle": "2026-02-03T20:01:21.829017Z", + "shell.execute_reply": "2026-02-03T20:01:21.827591Z" } }, "outputs": [ @@ -65,10 +65,10 @@ "output_type": "stream", "text": [ "Working on a Windows 11\n", - "Python version 3.13.5 | packaged by Anaconda, Inc. | (main, Jun 12 2025, 16:37:03) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.3.3\n", - "Pvlib version 0.13.0\n", - "Pvdeg version 0.5.1.dev857+g1a511e445.d20251004\n" + "Python version 3.13.11 | packaged by Anaconda, Inc. | (main, Dec 10 2025, 21:21:58) [MSC v.1929 64 bit (AMD64)]\n", + "Pandas version 3.0.0\n", + "Pvlib version 0.14.0\n", + "Pvdeg version 0.7.1.dev27+gde5391d47\n" ] } ], @@ -102,10 +102,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:37.410494Z", - "iopub.status.busy": "2025-12-03T15:54:37.410133Z", - "iopub.status.idle": "2025-12-03T15:54:37.529945Z", - "shell.execute_reply": "2025-12-03T15:54:37.528812Z" + "iopub.execute_input": "2026-02-03T20:01:21.883122Z", + "iopub.status.busy": "2026-02-03T20:01:21.882447Z", + "iopub.status.idle": "2026-02-03T20:01:22.059273Z", + "shell.execute_reply": "2026-02-03T20:01:22.057657Z" } }, "outputs": [], @@ -132,10 +132,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:37.532496Z", - "iopub.status.busy": "2025-12-03T15:54:37.532108Z", - "iopub.status.idle": "2025-12-03T15:54:37.606204Z", - "shell.execute_reply": "2025-12-03T15:54:37.605328Z" + "iopub.execute_input": "2026-02-03T20:01:22.062165Z", + "iopub.status.busy": "2026-02-03T20:01:22.061669Z", + "iopub.status.idle": "2026-02-03T20:01:22.200489Z", + "shell.execute_reply": "2026-02-03T20:01:22.198172Z" } }, "outputs": [ @@ -144,13 +144,7 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 40.6 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 40.6 was used.\n", " x T98_0 T98_inf\n", "0 0.522443 71.778148 48.754265\n", @@ -195,10 +189,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:37.609055Z", - "iopub.status.busy": "2025-12-03T15:54:37.608759Z", - "iopub.status.idle": "2025-12-03T15:54:37.615160Z", - "shell.execute_reply": "2025-12-03T15:54:37.613645Z" + "iopub.execute_input": "2026-02-03T20:01:22.206408Z", + "iopub.status.busy": "2026-02-03T20:01:22.205738Z", + "iopub.status.idle": "2026-02-03T20:01:22.219054Z", + "shell.execute_reply": "2026-02-03T20:01:22.216904Z" } }, "outputs": [], @@ -216,10 +210,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:37.617936Z", - "iopub.status.busy": "2025-12-03T15:54:37.617529Z", - "iopub.status.idle": "2025-12-03T15:54:37.623553Z", - "shell.execute_reply": "2025-12-03T15:54:37.622813Z" + "iopub.execute_input": "2026-02-03T20:01:22.223471Z", + "iopub.status.busy": "2026-02-03T20:01:22.222749Z", + "iopub.status.idle": "2026-02-03T20:01:22.233920Z", + "shell.execute_reply": "2026-02-03T20:01:22.231743Z" } }, "outputs": [ @@ -227,18 +221,18 @@ "name": "stdout", "output_type": "stream", "text": [ - " X_0 wind_factor\n", - "0 5.469355 0.077734\n", - "1 8.941992 1.292381\n", - "2 4.864771 -0.179995\n", - "3 5.254502 -0.590417\n", - "4 0.004934 0.041089\n", - ".. ... ...\n", - "495 10.638711 0.783493\n", - "496 8.275310 -0.505200\n", - "497 5.299550 1.056922\n", - "498 4.667034 0.124726\n", - "499 7.426355 0.389194\n", + " X_0 wind_factor\n", + "0 1.968806 0.746628\n", + "1 9.039030 0.245165\n", + "2 5.381391 0.215819\n", + "3 8.909738 0.355686\n", + "4 5.727330 -0.137757\n", + ".. ... ...\n", + "495 -1.474817 1.005983\n", + "496 8.244661 0.168551\n", + "497 7.839378 0.242576\n", + "498 2.764340 0.553874\n", + "499 5.126196 -0.177268\n", "\n", "[500 rows x 2 columns]\n" ] @@ -262,10 +256,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:37.625786Z", - "iopub.status.busy": "2025-12-03T15:54:37.625517Z", - "iopub.status.idle": "2025-12-03T15:54:54.342566Z", - "shell.execute_reply": "2025-12-03T15:54:54.341196Z" + "iopub.execute_input": "2026-02-03T20:01:22.239069Z", + "iopub.status.busy": "2026-02-03T20:01:22.238309Z", + "iopub.status.idle": "2026-02-03T20:01:46.512348Z", + "shell.execute_reply": "2026-02-03T20:01:46.510749Z" } }, "outputs": [], @@ -311,10 +305,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:54.345918Z", - "iopub.status.busy": "2025-12-03T15:54:54.345619Z", - "iopub.status.idle": "2025-12-03T15:54:54.357505Z", - "shell.execute_reply": "2025-12-03T15:54:54.356469Z" + "iopub.execute_input": "2026-02-03T20:01:46.516060Z", + "iopub.status.busy": "2026-02-03T20:01:46.515700Z", + "iopub.status.idle": "2026-02-03T20:01:46.536244Z", + "shell.execute_reply": "2026-02-03T20:01:46.534205Z" } }, "outputs": [ @@ -322,7 +316,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n" + "\n" ] } ], @@ -338,10 +332,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:54.359788Z", - "iopub.status.busy": "2025-12-03T15:54:54.359522Z", - "iopub.status.idle": "2025-12-03T15:54:54.364813Z", - "shell.execute_reply": "2025-12-03T15:54:54.364026Z" + "iopub.execute_input": "2026-02-03T20:01:46.539412Z", + "iopub.status.busy": "2026-02-03T20:01:46.539061Z", + "iopub.status.idle": "2026-02-03T20:01:46.545897Z", + "shell.execute_reply": "2026-02-03T20:01:46.544239Z" } }, "outputs": [ @@ -350,17 +344,17 @@ "output_type": "stream", "text": [ " x T98_0 T98_inf\n", - "0 0.522708 72.043832 49.619994\n", - "1 0.000000 53.514578 38.261491\n", - "2 0.913508 73.973125 50.766052\n", - "3 1.433251 75.649225 51.985503\n", - "4 0.000535 72.306730 49.869504\n", + "0 0.000000 64.622484 44.288105\n", + "1 0.257505 70.619302 48.569167\n", + "2 0.223720 70.901966 48.751860\n", + "3 0.000000 69.397537 47.723875\n", + "4 1.021424 73.792900 50.572557\n", ".. ... ... ...\n", - "495 0.000000 63.937194 43.917086\n", - "496 2.156556 75.422519 51.785908\n", - "497 0.000000 58.789809 40.917786\n", - "498 0.368321 71.697995 49.322339\n", - "499 0.000000 68.986831 47.547938\n", + "495 0.661389 59.673921 41.426439\n", + "496 0.505701 71.325126 49.051685\n", + "497 0.235012 70.651991 48.575669\n", + "498 0.000000 67.159367 46.090374\n", + "499 0.960101 73.965783 50.746822\n", "\n", "[500 rows x 3 columns]\n" ] @@ -383,16 +377,16 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-12-03T15:54:54.366762Z", - "iopub.status.busy": "2025-12-03T15:54:54.366482Z", - "iopub.status.idle": "2025-12-03T15:54:54.491917Z", - "shell.execute_reply": "2025-12-03T15:54:54.490949Z" + "iopub.execute_input": "2026-02-03T20:01:46.549441Z", + "iopub.status.busy": "2026-02-03T20:01:46.549057Z", + "iopub.status.idle": "2026-02-03T20:01:46.721553Z", + "shell.execute_reply": "2026-02-03T20:01:46.720084Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -439,7 +433,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.5" + "version": "3.13.11" } }, "nbformat": 4, diff --git a/tutorials/04_geospatial/02_geospatial_templates.ipynb b/tutorials/04_geospatial/02_geospatial_templates.ipynb index 8a44eaa5..daed2967 100644 --- a/tutorials/04_geospatial/02_geospatial_templates.ipynb +++ b/tutorials/04_geospatial/02_geospatial_templates.ipynb @@ -12,10 +12,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:06.498163Z", - "iopub.status.busy": "2025-10-17T21:51:06.498163Z", - "iopub.status.idle": "2025-10-17T21:51:15.430153Z", - "shell.execute_reply": "2025-10-17T21:51:15.429145Z" + "iopub.execute_input": "2026-01-26T23:41:27.413207Z", + "iopub.status.busy": "2026-01-26T23:41:27.413207Z", + "iopub.status.idle": "2026-01-26T23:41:31.366129Z", + "shell.execute_reply": "2026-01-26T23:41:31.366129Z" }, "lines_to_next_cell": 2 }, @@ -61,10 +61,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:15.436021Z", - "iopub.status.busy": "2025-10-17T21:51:15.430153Z", - "iopub.status.idle": "2025-10-17T21:51:15.759623Z", - "shell.execute_reply": "2025-10-17T21:51:15.759623Z" + "iopub.execute_input": "2026-01-26T23:41:31.367881Z", + "iopub.status.busy": "2026-01-26T23:41:31.367881Z", + "iopub.status.idle": "2026-01-26T23:41:31.504300Z", + "shell.execute_reply": "2026-01-26T23:41:31.504300Z" }, "lines_to_next_cell": 2 }, @@ -453,13 +453,13 @@ " dhi (time, gid) float64 2MB ...\n", " ghi (time, gid) float64 2MB ...\n", " dni (time, gid) float64 2MB ...\n", - " relative_humidity (time, gid) float64 2MB ...
    • " ], "text/plain": [ " Size: 9MB\n", @@ -535,10 +535,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:15.833252Z", - "iopub.status.busy": "2025-10-17T21:51:15.833252Z", - "iopub.status.idle": "2025-10-17T21:51:15.846483Z", - "shell.execute_reply": "2025-10-17T21:51:15.846483Z" + "iopub.execute_input": "2026-01-26T23:41:31.506307Z", + "iopub.status.busy": "2026-01-26T23:41:31.506307Z", + "iopub.status.idle": "2026-01-26T23:41:31.513666Z", + "shell.execute_reply": "2026-01-26T23:41:31.513666Z" } }, "outputs": [], @@ -562,10 +562,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:15.849012Z", - "iopub.status.busy": "2025-10-17T21:51:15.849012Z", - "iopub.status.idle": "2025-10-17T21:51:18.307866Z", - "shell.execute_reply": "2025-10-17T21:51:18.307866Z" + "iopub.execute_input": "2026-01-26T23:41:31.513666Z", + "iopub.status.busy": "2026-01-26T23:41:31.513666Z", + "iopub.status.idle": "2026-01-26T23:41:32.174765Z", + "shell.execute_reply": "2026-01-26T23:41:32.174765Z" } }, "outputs": [ @@ -574,24 +574,10 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" @@ -601,22 +587,12 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -626,21 +602,9 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -671,10 +635,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:18.314097Z", - "iopub.status.busy": "2025-10-17T21:51:18.311873Z", - "iopub.status.idle": "2025-10-17T21:51:18.325839Z", - "shell.execute_reply": "2025-10-17T21:51:18.325839Z" + "iopub.execute_input": "2026-01-26T23:41:32.174765Z", + "iopub.status.busy": "2026-01-26T23:41:32.174765Z", + "iopub.status.idle": "2026-01-26T23:41:32.182094Z", + "shell.execute_reply": "2026-01-26T23:41:32.182094Z" } }, "outputs": [], @@ -699,10 +663,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:18.330857Z", - "iopub.status.busy": "2025-10-17T21:51:18.330857Z", - "iopub.status.idle": "2025-10-17T21:51:20.707569Z", - "shell.execute_reply": "2025-10-17T21:51:20.707569Z" + "iopub.execute_input": "2026-01-26T23:41:32.182094Z", + "iopub.status.busy": "2026-01-26T23:41:32.182094Z", + "iopub.status.idle": "2026-01-26T23:41:32.794610Z", + "shell.execute_reply": "2026-01-26T23:41:32.794610Z" } }, "outputs": [ @@ -719,13 +683,7 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", @@ -737,8 +695,6 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -746,7 +702,11 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -754,8 +714,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -765,13 +723,7 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -792,17 +744,17 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:20.709329Z", - "iopub.status.busy": "2025-10-17T21:51:20.709329Z", - "iopub.status.idle": "2025-10-17T21:51:21.143541Z", - "shell.execute_reply": "2025-10-17T21:51:21.142530Z" + "iopub.execute_input": "2026-01-26T23:41:32.794610Z", + "iopub.status.busy": "2026-01-26T23:41:32.794610Z", + "iopub.status.idle": "2026-01-26T23:41:32.902114Z", + "shell.execute_reply": "2026-01-26T23:41:32.902114Z" } }, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 7, @@ -811,7 +763,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
    " ] @@ -874,10 +826,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:21.143541Z", - "iopub.status.busy": "2025-10-17T21:51:21.143541Z", - "iopub.status.idle": "2025-10-17T21:51:23.543854Z", - "shell.execute_reply": "2025-10-17T21:51:23.542840Z" + "iopub.execute_input": "2026-01-26T23:41:32.902114Z", + "iopub.status.busy": "2026-01-26T23:41:32.902114Z", + "iopub.status.idle": "2026-01-26T23:41:33.570787Z", + "shell.execute_reply": "2026-01-26T23:41:33.570787Z" } }, "outputs": [ @@ -886,29 +838,11 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -920,24 +854,10 @@ "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", - "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -945,14 +865,10 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -1330,81 +1246,40 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 11MB\n",
-       "Dimensions:    (latitude: 8, longitude: 10, time: 17520)\n",
+       "
    <xarray.Dataset> Size: 784B\n",
+       "Dimensions:    (latitude: 8, longitude: 10)\n",
        "Coordinates:\n",
        "  * latitude   (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n",
        "  * longitude  (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n",
-       "  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n",
        "Data variables:\n",
-       "    cell       (time, latitude, longitude) float64 11MB nan nan nan ... nan nan
    • " ], "text/plain": [ - " Size: 11MB\n", - "Dimensions: (latitude: 8, longitude: 10, time: 17520)\n", + " Size: 784B\n", + "Dimensions: (latitude: 8, longitude: 10)\n", "Coordinates:\n", " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n", - " * time (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n", "Data variables:\n", - " cell (time, latitude, longitude) float64 11MB nan nan nan ... nan nan" + " cell (latitude, longitude) float64 640B nan nan nan ... nan nan nan" ] }, "execution_count": 8, @@ -1441,10 +1316,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:23.543854Z", - "iopub.status.busy": "2025-10-17T21:51:23.543854Z", - "iopub.status.idle": "2025-10-17T21:51:25.796526Z", - "shell.execute_reply": "2025-10-17T21:51:25.795514Z" + "iopub.execute_input": "2026-01-26T23:41:33.570787Z", + "iopub.status.busy": "2026-01-26T23:41:33.570787Z", + "iopub.status.idle": "2026-01-26T23:41:34.225816Z", + "shell.execute_reply": "2026-01-26T23:41:34.225816Z" } }, "outputs": [ @@ -1463,6 +1338,8 @@ "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -1470,8 +1347,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -1483,6 +1358,8 @@ "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -1490,8 +1367,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -1879,81 +1754,40 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 11MB\n",
-       "Dimensions:    (latitude: 8, longitude: 10, time: 17520)\n",
+       "
    <xarray.Dataset> Size: 784B\n",
+       "Dimensions:    (latitude: 8, longitude: 10)\n",
        "Coordinates:\n",
        "  * latitude   (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n",
        "  * longitude  (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n",
-       "  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n",
        "Data variables:\n",
-       "    cell       (time, latitude, longitude) float64 11MB nan nan nan ... nan nan
    • " ], "text/plain": [ - " Size: 11MB\n", - "Dimensions: (latitude: 8, longitude: 10, time: 17520)\n", + " Size: 784B\n", + "Dimensions: (latitude: 8, longitude: 10)\n", "Coordinates:\n", " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n", - " * time (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n", "Data variables:\n", - " cell (time, latitude, longitude) float64 11MB nan nan nan ... nan nan" + " cell (latitude, longitude) float64 640B nan nan nan ... nan nan nan" ] }, "execution_count": 9, @@ -1981,10 +1815,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:25.803558Z", - "iopub.status.busy": "2025-10-17T21:51:25.802547Z", - "iopub.status.idle": "2025-10-17T21:51:27.987729Z", - "shell.execute_reply": "2025-10-17T21:51:27.986717Z" + "iopub.execute_input": "2026-01-26T23:41:34.225816Z", + "iopub.status.busy": "2026-01-26T23:41:34.225816Z", + "iopub.status.idle": "2026-01-26T23:41:34.955817Z", + "shell.execute_reply": "2026-01-26T23:41:34.955817Z" } }, "outputs": [ @@ -2001,13 +1835,7 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", @@ -2019,8 +1847,6 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -2028,6 +1854,8 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -2037,8 +1865,6 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", - "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -2046,6 +1872,8 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", @@ -2425,81 +2253,40 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 11MB\n",
-       "Dimensions:    (latitude: 8, longitude: 10, time: 17520)\n",
+       "
    <xarray.Dataset> Size: 784B\n",
+       "Dimensions:    (latitude: 8, longitude: 10)\n",
        "Coordinates:\n",
        "  * latitude   (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n",
        "  * longitude  (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n",
-       "  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n",
        "Data variables:\n",
-       "    module     (time, latitude, longitude) float64 11MB nan nan nan ... nan nan
    • " ], "text/plain": [ - " Size: 11MB\n", - "Dimensions: (latitude: 8, longitude: 10, time: 17520)\n", + " Size: 784B\n", + "Dimensions: (latitude: 8, longitude: 10)\n", "Coordinates:\n", " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n", - " * time (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n", "Data variables:\n", - " module (time, latitude, longitude) float64 11MB nan nan nan ... nan nan" + " module (latitude, longitude) float64 640B nan nan nan ... nan nan nan" ] }, "execution_count": 10, @@ -2532,10 +2319,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:27.991649Z", - "iopub.status.busy": "2025-10-17T21:51:27.990736Z", - "iopub.status.idle": "2025-10-17T21:51:29.908535Z", - "shell.execute_reply": "2025-10-17T21:51:29.906378Z" + "iopub.execute_input": "2026-01-26T23:41:34.956831Z", + "iopub.status.busy": "2026-01-26T23:41:34.956831Z", + "iopub.status.idle": "2026-01-26T23:41:35.622520Z", + "shell.execute_reply": "2026-01-26T23:41:35.622520Z" } }, "outputs": [ @@ -2912,291 +2699,133 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 67MB\n",
-       "Dimensions:             (latitude: 8, longitude: 10, time: 17520)\n",
+       "
    <xarray.Dataset> Size: 4kB\n",
+       "Dimensions:             (latitude: 8, longitude: 10)\n",
        "Coordinates:\n",
        "  * latitude            (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89\n",
        "  * longitude           (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9\n",
-       "  * time                (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...\n",
        "Data variables:\n",
-       "    apparent_zenith     (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    zenith              (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    apparent_elevation  (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    elevation           (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    azimuth             (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    equation_of_time    (time, latitude, longitude) float64 11MB nan nan ... nan
    • " ], "text/plain": [ - " Size: 67MB\n", - "Dimensions: (latitude: 8, longitude: 10, time: 17520)\n", + " Size: 4kB\n", + "Dimensions: (latitude: 8, longitude: 10)\n", "Coordinates:\n", " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9\n", - " * time (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...\n", "Data variables:\n", - " apparent_zenith (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " zenith (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " apparent_elevation (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " elevation (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " azimuth (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " equation_of_time (time, latitude, longitude) float64 11MB nan nan ... nan" + " apparent_zenith (latitude, longitude) float64 640B nan nan ... nan nan\n", + " zenith (latitude, longitude) float64 640B nan nan ... nan nan\n", + " apparent_elevation (latitude, longitude) float64 640B nan nan ... nan nan\n", + " elevation (latitude, longitude) float64 640B nan nan ... nan nan\n", + " azimuth (latitude, longitude) float64 640B nan nan ... nan nan\n", + " equation_of_time (latitude, longitude) float64 640B nan nan ... nan nan" ] }, "execution_count": 11, @@ -3229,10 +2858,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:29.916050Z", - "iopub.status.busy": "2025-10-17T21:51:29.915045Z", - "iopub.status.idle": "2025-10-17T21:51:32.133529Z", - "shell.execute_reply": "2025-10-17T21:51:32.132519Z" + "iopub.execute_input": "2026-01-26T23:41:35.622520Z", + "iopub.status.busy": "2026-01-26T23:41:35.622520Z", + "iopub.status.idle": "2026-01-26T23:41:36.277759Z", + "shell.execute_reply": "2026-01-26T23:41:36.277759Z" } }, "outputs": [ @@ -3243,13 +2872,7 @@ "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", @@ -3263,13 +2886,7 @@ "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", @@ -3283,13 +2900,7 @@ "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -3667,249 +3278,68 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 56MB\n",
-       "Dimensions:             (latitude: 8, longitude: 10, time: 17520)\n",
+       "
    <xarray.Dataset> Size: 3kB\n",
+       "Dimensions:             (latitude: 8, longitude: 10)\n",
        "Coordinates:\n",
        "  * latitude            (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89\n",
        "  * longitude           (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9\n",
-       "  * time                (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...\n",
        "Data variables:\n",
-       "    poa_global          (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    poa_direct          (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    poa_diffuse         (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    poa_sky_diffuse     (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    poa_ground_diffuse  (time, latitude, longitude) float64 11MB nan nan ... nan
    • " ], "text/plain": [ - " Size: 56MB\n", - "Dimensions: (latitude: 8, longitude: 10, time: 17520)\n", + " Size: 3kB\n", + "Dimensions: (latitude: 8, longitude: 10)\n", "Coordinates:\n", " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9\n", - " * time (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...\n", "Data variables:\n", - " poa_global (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " poa_direct (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " poa_diffuse (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " poa_sky_diffuse (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " poa_ground_diffuse (time, latitude, longitude) float64 11MB nan nan ... nan" + " poa_global (latitude, longitude) float64 640B nan nan ... nan nan\n", + " poa_direct (latitude, longitude) float64 640B nan nan ... nan nan\n", + " poa_diffuse (latitude, longitude) float64 640B nan nan ... nan nan\n", + " poa_sky_diffuse (latitude, longitude) float64 640B nan nan ... nan nan\n", + " poa_ground_diffuse (latitude, longitude) float64 640B nan nan ... nan nan" ] }, "execution_count": 12, @@ -3942,10 +3372,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:32.137524Z", - "iopub.status.busy": "2025-10-17T21:51:32.136524Z", - "iopub.status.idle": "2025-10-17T21:51:34.270080Z", - "shell.execute_reply": "2025-10-17T21:51:34.270080Z" + "iopub.execute_input": "2026-01-26T23:41:36.277759Z", + "iopub.status.busy": "2026-01-26T23:41:36.277759Z", + "iopub.status.idle": "2026-01-26T23:41:36.910685Z", + "shell.execute_reply": "2026-01-26T23:41:36.909362Z" } }, "outputs": [ @@ -3954,24 +3384,10 @@ "output_type": "stream", "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" @@ -3981,19 +3397,13 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", - "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -4001,6 +3411,8 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", @@ -4386,8 +3798,8 @@ " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n", "Data variables:\n", - " T98_estimate (latitude, longitude) float64 640B nan nan nan ... nan nan nan
    • " ], "text/plain": [ " Size: 784B\n", @@ -4446,10 +3858,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:34.274974Z", - "iopub.status.busy": "2025-10-17T21:51:34.274974Z", - "iopub.status.idle": "2025-10-17T21:51:38.344783Z", - "shell.execute_reply": "2025-10-17T21:51:38.343258Z" + "iopub.execute_input": "2026-01-26T23:41:36.910685Z", + "iopub.status.busy": "2026-01-26T23:41:36.910685Z", + "iopub.status.idle": "2026-01-26T23:41:38.327066Z", + "shell.execute_reply": "2026-01-26T23:41:38.327066Z" } }, "outputs": [ @@ -4464,13 +3876,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n" ] @@ -4479,20 +3885,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n" ] }, @@ -4500,20 +3894,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n" ] }, @@ -4897,249 +4279,116 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 56MB\n",
-       "Dimensions:             (latitude: 8, longitude: 10, time: 17520)\n",
+       "
    <xarray.Dataset> Size: 3kB\n",
+       "Dimensions:             (latitude: 8, longitude: 10)\n",
        "Coordinates:\n",
        "  * latitude            (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89\n",
        "  * longitude           (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9\n",
-       "  * time                (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...\n",
        "Data variables:\n",
-       "    RH_surface_outside  (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    RH_front_encap      (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    RH_back_encap       (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    Ce_back_encap       (time, latitude, longitude) float64 11MB nan nan ... nan\n",
-       "    RH_backsheet        (time, latitude, longitude) float64 11MB nan nan ... nan
    • " ], "text/plain": [ - " Size: 56MB\n", - "Dimensions: (latitude: 8, longitude: 10, time: 17520)\n", + " Size: 3kB\n", + "Dimensions: (latitude: 8, longitude: 10)\n", "Coordinates:\n", " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9\n", - " * time (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...\n", "Data variables:\n", - " RH_surface_outside (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " RH_front_encap (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " RH_back_encap (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " Ce_back_encap (time, latitude, longitude) float64 11MB nan nan ... nan\n", - " RH_backsheet (time, latitude, longitude) float64 11MB nan nan ... nan" + " RH_surface_outside (latitude, longitude) float64 640B nan nan ... nan nan\n", + " RH_front_encap (latitude, longitude) float64 640B nan nan ... nan nan\n", + " RH_back_encap (latitude, longitude) float64 640B nan nan ... nan nan\n", + " Ce_back_encap (latitude, longitude) float64 640B nan nan ... nan nan\n", + " RH_backsheet (latitude, longitude) float64 640B nan nan ... nan nan" ] }, "execution_count": 14, @@ -5174,10 +4423,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:38.349873Z", - "iopub.status.busy": "2025-10-17T21:51:38.349873Z", - "iopub.status.idle": "2025-10-17T21:51:40.570094Z", - "shell.execute_reply": "2025-10-17T21:51:40.570094Z" + "iopub.execute_input": "2026-01-26T23:41:38.327066Z", + "iopub.status.busy": "2026-01-26T23:41:38.327066Z", + "iopub.status.idle": "2026-01-26T23:41:38.927072Z", + "shell.execute_reply": "2026-01-26T23:41:38.927072Z" } }, "outputs": [ @@ -5185,6 +4434,8 @@ "name": "stdout", "output_type": "stream", "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -5193,9 +4444,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.9 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.7 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -5205,7 +4456,7 @@ "text": [ "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", - "The array surface_tilt angle was not provided, therefore the latitude of 39.8 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -5213,9 +4464,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -5223,9 +4474,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.4 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] }, @@ -5233,8 +4484,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "The array surface_tilt angle was not provided, therefore the latitude of 39.5 was used.\n", - "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", "The array surface_tilt angle was not provided, therefore the latitude of 39.6 was used.\n", "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" ] @@ -5618,8 +4867,8 @@ " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9\n", "Data variables:\n", - " IwaVantHoff (latitude, longitude) float64 640B nan nan nan ... nan nan nan
    • " ], "text/plain": [ " Size: 784B\n", @@ -5686,10 +4935,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:40.577856Z", - "iopub.status.busy": "2025-10-17T21:51:40.576777Z", - "iopub.status.idle": "2025-10-17T21:51:40.853579Z", - "shell.execute_reply": "2025-10-17T21:51:40.853579Z" + "iopub.execute_input": "2026-01-26T23:41:38.927072Z", + "iopub.status.busy": "2026-01-26T23:41:38.927072Z", + "iopub.status.idle": "2026-01-26T23:41:39.005944Z", + "shell.execute_reply": "2026-01-26T23:41:39.005944Z" } }, "outputs": [ @@ -6072,8 +5321,8 @@ " * latitude (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89\n", " * longitude (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9\n", "Data variables:\n", - " edge_seal_width (latitude, longitude) float64 640B nan nan nan ... nan nan
    • " ], "text/plain": [ " Size: 784B\n", @@ -6125,10 +5374,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-10-17T21:51:40.861021Z", - "iopub.status.busy": "2025-10-17T21:51:40.860019Z", - "iopub.status.idle": "2025-10-17T21:51:40.883596Z", - "shell.execute_reply": "2025-10-17T21:51:40.883596Z" + "iopub.execute_input": "2026-01-26T23:41:39.008906Z", + "iopub.status.busy": "2026-01-26T23:41:39.008906Z", + "iopub.status.idle": "2026-01-26T23:41:39.018146Z", + "shell.execute_reply": "2026-01-26T23:41:39.018146Z" } }, "outputs": [ @@ -6510,8 +5759,8 @@ "Coordinates:\n", " * gid (gid) int64 88B 449211 452064 453020 ... 459670 460613 462498\n", "Data variables:\n", - " width (gid) float64 88B dask.array<chunksize=(11,), meta=np.ndarray>" + " dtype='int64', name='gid'))
    • " ], "text/plain": [ " Size: 176B\n", diff --git a/tutorials/04_scenario/01_scenario_temperature.ipynb b/tutorials/04_scenario/01_scenario_temperature.ipynb index 10969cb1..db59b5fc 100644 --- a/tutorials/04_scenario/01_scenario_temperature.ipynb +++ b/tutorials/04_scenario/01_scenario_temperature.ipynb @@ -9,13 +9,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-11-04T16:11:02.863972Z", - "iopub.status.busy": "2025-11-04T16:11:02.862972Z", - "iopub.status.idle": "2025-11-04T16:11:02.873306Z", - "shell.execute_reply": "2025-11-04T16:11:02.872298Z" + "iopub.execute_input": "2026-01-26T23:42:21.388783Z", + "iopub.status.busy": "2026-01-26T23:42:21.388783Z", + "iopub.status.idle": "2026-01-26T23:42:21.401177Z", + "shell.execute_reply": "2026-01-26T23:42:21.401177Z" } }, "outputs": [], @@ -29,10 +29,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-11-04T16:11:02.878310Z", - "iopub.status.busy": "2025-11-04T16:11:02.877307Z", - "iopub.status.idle": "2025-11-04T16:11:08.212731Z", - "shell.execute_reply": "2025-11-04T16:11:08.212731Z" + "iopub.execute_input": "2026-01-26T23:42:21.404728Z", + "iopub.status.busy": "2026-01-26T23:42:21.403717Z", + "iopub.status.idle": "2026-01-26T23:42:25.490141Z", + "shell.execute_reply": "2026-01-26T23:42:25.490141Z" } }, "outputs": [], @@ -46,10 +46,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-11-04T16:11:08.217747Z", - "iopub.status.busy": "2025-11-04T16:11:08.216748Z", - "iopub.status.idle": "2025-11-04T16:11:08.224652Z", - "shell.execute_reply": "2025-11-04T16:11:08.224652Z" + "iopub.execute_input": "2026-01-26T23:42:25.490141Z", + "iopub.status.busy": "2026-01-26T23:42:25.490141Z", + "iopub.status.idle": "2026-01-26T23:42:25.501048Z", + "shell.execute_reply": "2026-01-26T23:42:25.501048Z" } }, "outputs": [ @@ -87,10 +87,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-11-04T16:11:08.272905Z", - "iopub.status.busy": "2025-11-04T16:11:08.272905Z", - "iopub.status.idle": "2025-11-04T16:11:10.773324Z", - "shell.execute_reply": "2025-11-04T16:11:10.773324Z" + "iopub.execute_input": "2026-01-26T23:42:25.501048Z", + "iopub.status.busy": "2026-01-26T23:42:25.501048Z", + "iopub.status.idle": "2026-01-26T23:42:38.685465Z", + "shell.execute_reply": "2026-01-26T23:42:38.685465Z" } }, "outputs": [ @@ -98,8 +98,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "\r\n", - " Column \"relative_humidity\" not found in DataFrame. Calculating...\r\n", + "\r", + " Column \"relative_humidity\" not found in DataFrame. Calculating...\r", " \r" ] }, @@ -203,10 +203,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-11-04T16:11:10.777857Z", - "iopub.status.busy": "2025-11-04T16:11:10.776852Z", - "iopub.status.idle": "2025-11-04T16:11:12.062708Z", - "shell.execute_reply": "2025-11-04T16:11:12.062708Z" + "iopub.execute_input": "2026-01-26T23:42:38.687468Z", + "iopub.status.busy": "2026-01-26T23:42:38.687468Z", + "iopub.status.idle": "2026-01-26T23:42:39.678386Z", + "shell.execute_reply": "2026-01-26T23:42:39.678386Z" } }, "outputs": [ @@ -216,7 +216,7 @@ "\n", "
    # noqa\n", "

    self.name: temperature and degradation

    \n", - "

    self.path: C:\\Users\\rdaxini\\Documents\\GitHub\\PVDegradationTools_NREL\\tutorials_and_tools\\tutorials_and_tools\\pvd_job_temperature and degradation

    # noqa\n", + "

    self.path: C:\\Users\\rdaxini\\Documents\\GitHub\\PVDegradationTools_NREL\\tutorials\\04_scenario\\pvd_job_temperature and degradation

    # noqa\n", "

    self.gids: [1060499]

    \n", "

    self.email: user@mail.com

    \n", "

    self.api_key: DEMO_KEY

    \n", @@ -231,13 +231,13 @@ "
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    \n", " \n", - "
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    \n", - " ►\n", - " URRNF\n", + " ►\n", + " NDOMI\n", "
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    \n", - " ►\n", - " XKJZY\n", + " ►\n", + " RCRWT\n", "
    \n", "
    \n", - "
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    \n", " \n", - "
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    \n", - " ►\n", - " JTLMJ\n", + " ►\n", + " PZCWQ\n", "
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    \n", - " ►\n", - " URRNF\n", + " ►\n", + " NDOMI\n", "
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    \n", - " ►\n", - " XKJZY\n", + " ►\n", + " RCRWT\n", "
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    # noqa\n", "
    \n", - " ►\n", - " OJLJI\n", + " ►\n", + " BLHBO\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " \n", " \n", " \n", @@ -631,33 +631,33 @@ "
    \n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " JTLMJ\n", + " ►\n", + " PZCWQ\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 2.018517700678903\n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " URRNF\n", + " ►\n", + " NDOMI\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 2.3968569686602503\n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " XKJZY\n", + " ►\n", + " RCRWT\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 159.67273103005368\n", "
    \n", "
    \n", @@ -669,13 +669,13 @@ "
    \n", "
    # noqa\n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " OJLJI\n", + " ►\n", + " BLHBO\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " \n", " \n", " \n", @@ -777,33 +777,33 @@ "
    \n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " JTLMJ\n", + " ►\n", + " PZCWQ\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 2.006672850656661\n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " URRNF\n", + " ►\n", + " NDOMI\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 2.382791988546875\n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " XKJZY\n", + " ►\n", + " RCRWT\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 160.6366948323712\n", "
    \n", "
    \n", @@ -815,13 +815,13 @@ "
    \n", "
    # noqa\n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " OJLJI\n", + " ►\n", + " BLHBO\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " \n", " \n", " \n", @@ -923,33 +923,33 @@ "
    \n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " JTLMJ\n", + " ►\n", + " PZCWQ\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 2.0018407242116707\n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " URRNF\n", + " ►\n", + " NDOMI\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 2.3770541563053107\n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "
    \n", - " ►\n", - " XKJZY\n", + " ►\n", + " RCRWT\n", "
    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", " 161.38291833712765\n", "
    \n", "
    \n", @@ -957,13 +957,13 @@ "
    \n", "

    self.pipeline

    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", "

    \n", - " ► # noqa\n", - " temperature, #OJLJI # noqa\n", + " ► # noqa\n", + " temperature, #BLHBO # noqa\n", "

    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", "

    Job: temperature

    \n", "

    Parameters:

    \n", "
    \n", @@ -973,13 +973,13 @@ "
    \n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "

    \n", - " ► # noqa\n", - " vantHoff_deg, #JTLMJ # noqa\n", + " ► # noqa\n", + " vantHoff_deg, #PZCWQ # noqa\n", "

    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", "

    Job: vantHoff_deg

    \n", "

    Parameters:

    \n", "
    \n", @@ -990,13 +990,13 @@ "
    \n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "

    \n", - " ► # noqa\n", - " vantHoff_deg, #URRNF # noqa\n", + " ► # noqa\n", + " vantHoff_deg, #NDOMI # noqa\n", "

    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", "

    Job: vantHoff_deg

    \n", "

    Parameters:

    \n", "
    \n", @@ -1007,13 +1007,13 @@ "
    \n", "
    \n", " \n", - "
    # noqa\n", + "
    # noqa\n", "

    \n", - " ► # noqa\n", - " IwaVantHoff, #XKJZY # noqa\n", + " ► # noqa\n", + " IwaVantHoff, #RCRWT # noqa\n", "

    \n", "
    \n", - "
    # noqa\n", + "
    # noqa\n", "

    Job: IwaVantHoff

    \n", "

    Parameters:

    \n", "
    \n", @@ -1037,10 +1037,7 @@ "

    Material Parameters:

    \n", "
    \n", " 
    {\n",
-       "  \"name\": \"EVA\",\n",
        "  \"alias\": \"EVA-1\",\n",
-       "  \"contributor\": \"Michael Kempe\",\n",
-       "  \"source\": \"unpublished measurements\",\n",
        "  \"Fickian\": true,\n",
        "  \"Ead\": 29.43112031,\n",
        "  \"Do\": 0.129061678,\n",
@@ -1077,10 +1074,7 @@
        "                
    Material Parameters:
    \n",
        "                
    \n",
        "                    
    {\n",
-       "  \"name\": \"EVA\",\n",
        "  \"alias\": \"EVA-1\",\n",
-       "  \"contributor\": \"Michael Kempe\",\n",
-       "  \"source\": \"unpublished measurements\",\n",
        "  \"Fickian\": true,\n",
        "  \"Ead\": 29.43112031,\n",
        "  \"Do\": 0.129061678,\n",
@@ -1117,10 +1111,7 @@
        "                
    Material Parameters:
    \n",
        "                
    \n",
        "                    
    {\n",
-       "  \"name\": \"EVA\",\n",
        "  \"alias\": \"EVA-1\",\n",
-       "  \"contributor\": \"Michael Kempe\",\n",
-       "  \"source\": \"unpublished measurements\",\n",
        "  \"Fickian\": true,\n",
        "  \"Ead\": 29.43112031,\n",
        "  \"Do\": 0.129061678,\n",
@@ -1157,10 +1148,7 @@
        "                
    Material Parameters:
    \n",
        "                
    \n",
        "                    
    {\n",
-       "  \"name\": \"EVA\",\n",
        "  \"alias\": \"EVA-1\",\n",
-       "  \"contributor\": \"Michael Kempe\",\n",
-       "  \"source\": \"unpublished measurements\",\n",
        "  \"Fickian\": true,\n",
        "  \"Ead\": 29.43112031,\n",
        "  \"Do\": 0.129061678,\n",
@@ -1197,10 +1185,7 @@
        "                
    Material Parameters:
    \n",
        "                
    \n",
        "                    
    {\n",
-       "  \"name\": \"EVA\",\n",
        "  \"alias\": \"EVA-1\",\n",
-       "  \"contributor\": \"Michael Kempe\",\n",
-       "  \"source\": \"unpublished measurements\",\n",
        "  \"Fickian\": true,\n",
        "  \"Ead\": 29.43112031,\n",
        "  \"Do\": 0.129061678,\n",
@@ -1501,10 +1486,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-11-04T16:11:12.065833Z",
-     "iopub.status.busy": "2025-11-04T16:11:12.065833Z",
-     "iopub.status.idle": "2025-11-04T16:11:12.073029Z",
-     "shell.execute_reply": "2025-11-04T16:11:12.073029Z"
+     "iopub.execute_input": "2026-01-26T23:42:39.678386Z",
+     "iopub.status.busy": "2026-01-26T23:42:39.678386Z",
+     "iopub.status.idle": "2026-01-26T23:42:39.688871Z",
+     "shell.execute_reply": "2026-01-26T23:42:39.688871Z"
     }
    },
    "outputs": [],
@@ -1525,10 +1510,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-11-04T16:11:12.077109Z",
-     "iopub.status.busy": "2025-11-04T16:11:12.076044Z",
-     "iopub.status.idle": "2025-11-04T16:11:12.083471Z",
-     "shell.execute_reply": "2025-11-04T16:11:12.082460Z"
+     "iopub.execute_input": "2026-01-26T23:42:39.688871Z",
+     "iopub.status.busy": "2026-01-26T23:42:39.688871Z",
+     "iopub.status.idle": "2026-01-26T23:42:39.696743Z",
+     "shell.execute_reply": "2026-01-26T23:42:39.696743Z"
     }
    },
    "outputs": [
@@ -1562,10 +1547,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-11-04T16:11:12.086468Z",
-     "iopub.status.busy": "2025-11-04T16:11:12.086468Z",
-     "iopub.status.idle": "2025-11-04T16:11:12.090358Z",
-     "shell.execute_reply": "2025-11-04T16:11:12.090358Z"
+     "iopub.execute_input": "2026-01-26T23:42:39.696743Z",
+     "iopub.status.busy": "2026-01-26T23:42:39.696743Z",
+     "iopub.status.idle": "2026-01-26T23:42:39.703802Z",
+     "shell.execute_reply": "2026-01-26T23:42:39.703802Z"
     }
    },
    "outputs": [
@@ -1604,10 +1589,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-11-04T16:11:12.093373Z",
-     "iopub.status.busy": "2025-11-04T16:11:12.092367Z",
-     "iopub.status.idle": "2025-11-04T16:11:14.476650Z",
-     "shell.execute_reply": "2025-11-04T16:11:14.476650Z"
+     "iopub.execute_input": "2026-01-26T23:42:39.703802Z",
+     "iopub.status.busy": "2026-01-26T23:42:39.703802Z",
+     "iopub.status.idle": "2026-01-26T23:42:41.299654Z",
+     "shell.execute_reply": "2026-01-26T23:42:41.299654Z"
     }
    },
    "outputs": [
@@ -1622,8 +1607,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r\n",
-      " Column \"relative_humidity\" not found in DataFrame. Calculating...\r\n",
+      "\r",
+      " Column \"relative_humidity\" not found in DataFrame. Calculating...\r",
       "                                                                     \r"
      ]
     },
diff --git a/tutorials/04_scenario/02_scenario_single_location.ipynb b/tutorials/04_scenario/02_scenario_single_location.ipynb
index 27e4189e..c0cedf9d 100644
--- a/tutorials/04_scenario/02_scenario_single_location.ipynb
+++ b/tutorials/04_scenario/02_scenario_single_location.ipynb
@@ -16,13 +16,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:46:56.507973Z",
-     "iopub.status.busy": "2025-10-22T23:46:56.507973Z",
-     "iopub.status.idle": "2025-10-22T23:46:56.525088Z",
-     "shell.execute_reply": "2025-10-22T23:46:56.521074Z"
+     "iopub.execute_input": "2026-01-26T23:42:44.148604Z",
+     "iopub.status.busy": "2026-01-26T23:42:44.148604Z",
+     "iopub.status.idle": "2026-01-26T23:42:44.156378Z",
+     "shell.execute_reply": "2026-01-26T23:42:44.156378Z"
     }
    },
    "outputs": [],
@@ -36,10 +36,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:46:56.536864Z",
-     "iopub.status.busy": "2025-10-22T23:46:56.535849Z",
-     "iopub.status.idle": "2025-10-22T23:47:10.409249Z",
-     "shell.execute_reply": "2025-10-22T23:47:10.406235Z"
+     "iopub.execute_input": "2026-01-26T23:42:44.162161Z",
+     "iopub.status.busy": "2026-01-26T23:42:44.156378Z",
+     "iopub.status.idle": "2026-01-26T23:42:47.706357Z",
+     "shell.execute_reply": "2026-01-26T23:42:47.706357Z"
     }
    },
    "outputs": [],
@@ -53,10 +53,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:10.417253Z",
-     "iopub.status.busy": "2025-10-22T23:47:10.415250Z",
-     "iopub.status.idle": "2025-10-22T23:47:10.435588Z",
-     "shell.execute_reply": "2025-10-22T23:47:10.433573Z"
+     "iopub.execute_input": "2026-01-26T23:42:47.710509Z",
+     "iopub.status.busy": "2026-01-26T23:42:47.710509Z",
+     "iopub.status.idle": "2026-01-26T23:42:47.718219Z",
+     "shell.execute_reply": "2026-01-26T23:42:47.718219Z"
     }
    },
    "outputs": [
@@ -99,10 +99,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:10.535889Z",
-     "iopub.status.busy": "2025-10-22T23:47:10.534889Z",
-     "iopub.status.idle": "2025-10-22T23:47:10.546072Z",
-     "shell.execute_reply": "2025-10-22T23:47:10.545054Z"
+     "iopub.execute_input": "2026-01-26T23:42:47.718219Z",
+     "iopub.status.busy": "2026-01-26T23:42:47.718219Z",
+     "iopub.status.idle": "2026-01-26T23:42:47.724234Z",
+     "shell.execute_reply": "2026-01-26T23:42:47.724234Z"
     }
    },
    "outputs": [],
@@ -127,10 +127,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:10.553072Z",
-     "iopub.status.busy": "2025-10-22T23:47:10.553072Z",
-     "iopub.status.idle": "2025-10-22T23:47:13.625960Z",
-     "shell.execute_reply": "2025-10-22T23:47:13.625449Z"
+     "iopub.execute_input": "2026-01-26T23:42:47.724234Z",
+     "iopub.status.busy": "2026-01-26T23:42:47.724234Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.416111Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.416111Z"
     }
    },
    "outputs": [
@@ -138,8 +138,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r\n",
-      " Column \"relative_humidity\" not found in DataFrame. Calculating...\r\n",
+      "\r",
+      " Column \"relative_humidity\" not found in DataFrame. Calculating...\r",
       "                                                                     \r"
      ]
     }
@@ -155,10 +155,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:13.631973Z",
-     "iopub.status.busy": "2025-10-22T23:47:13.631973Z",
-     "iopub.status.idle": "2025-10-22T23:47:13.693803Z",
-     "shell.execute_reply": "2025-10-22T23:47:13.691788Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.416111Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.416111Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.434017Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.434017Z"
     }
    },
    "outputs": [
@@ -481,10 +481,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:13.704803Z",
-     "iopub.status.busy": "2025-10-22T23:47:13.701803Z",
-     "iopub.status.idle": "2025-10-22T23:47:13.718600Z",
-     "shell.execute_reply": "2025-10-22T23:47:13.716480Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.434017Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.434017Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.438693Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.438693Z"
     }
    },
    "outputs": [],
@@ -506,10 +506,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:13.728914Z",
-     "iopub.status.busy": "2025-10-22T23:47:13.727913Z",
-     "iopub.status.idle": "2025-10-22T23:47:13.738108Z",
-     "shell.execute_reply": "2025-10-22T23:47:13.736369Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.440696Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.440696Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.443297Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.443297Z"
     }
    },
    "outputs": [],
@@ -536,10 +536,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:13.746633Z",
-     "iopub.status.busy": "2025-10-22T23:47:13.745121Z",
-     "iopub.status.idle": "2025-10-22T23:47:13.806915Z",
-     "shell.execute_reply": "2025-10-22T23:47:13.804812Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.443297Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.443297Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.459915Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.459915Z"
     }
    },
    "outputs": [],
@@ -569,10 +569,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:13.813421Z",
-     "iopub.status.busy": "2025-10-22T23:47:13.812424Z",
-     "iopub.status.idle": "2025-10-22T23:47:13.864910Z",
-     "shell.execute_reply": "2025-10-22T23:47:13.863900Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.459915Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.459915Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.476192Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.476192Z"
     }
    },
    "outputs": [
@@ -582,8 +582,8 @@
      "text": [
       "Name : Point Minimum Standoff\n",
       "Pipeline : \n",
-      "                                   URFAT.job                                        RENCW.job  RENCW.params.wind_factor                                  SAAUO.job                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     SAAUO.params.weather_df SAAUO.params.meta.Source SAAUO.params.meta.Location ID SAAUO.params.meta.City SAAUO.params.meta.State SAAUO.params.meta.Country SAAUO.params.meta.Clearsky DHI Units SAAUO.params.meta.Clearsky DNI Units SAAUO.params.meta.Clearsky GHI Units SAAUO.params.meta.Dew Point Units SAAUO.params.meta.DHI Units SAAUO.params.meta.DNI Units SAAUO.params.meta.GHI Units SAAUO.params.meta.Solar Zenith Angle Units SAAUO.params.meta.Temperature Units SAAUO.params.meta.Pressure Units SAAUO.params.meta.Relative Humidity Units SAAUO.params.meta.Precipitable Water Units SAAUO.params.meta.Wind Direction Units SAAUO.params.meta.Wind Speed Units SAAUO.params.meta.Cloud Type -15 SAAUO.params.meta.Cloud Type 0 SAAUO.params.meta.Cloud Type 1 SAAUO.params.meta.Cloud Type 2 SAAUO.params.meta.Cloud Type 3 SAAUO.params.meta.Cloud Type 4 SAAUO.params.meta.Cloud Type 5 SAAUO.params.meta.Cloud Type 6 SAAUO.params.meta.Cloud Type 7 SAAUO.params.meta.Cloud Type 8 SAAUO.params.meta.Cloud Type 9 SAAUO.params.meta.Cloud Type 10 SAAUO.params.meta.Cloud Type 11 SAAUO.params.meta.Cloud Type 12 SAAUO.params.meta.Fill Flag 0 SAAUO.params.meta.Fill Flag 1 SAAUO.params.meta.Fill Flag 2 SAAUO.params.meta.Fill Flag 3 SAAUO.params.meta.Fill Flag 4 SAAUO.params.meta.Fill Flag 5 SAAUO.params.meta.Surface Albedo Units SAAUO.params.meta.Version  SAAUO.params.meta.latitude  SAAUO.params.meta.longitude  SAAUO.params.meta.altitude  SAAUO.params.meta.tz\n",
-      "0                          0.33                               Year  Month  Day  Hour  Minute  dni  dhi  ghi  \\\n",
+      "                                   OMWGH.job                                        IRORP.job  IRORP.params.wind_factor                                  GIOFQ.job                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     GIOFQ.params.weather_df GIOFQ.params.meta.Source  GIOFQ.params.meta.Location ID GIOFQ.params.meta.City GIOFQ.params.meta.State GIOFQ.params.meta.Country GIOFQ.params.meta.Clearsky DHI Units GIOFQ.params.meta.Clearsky DNI Units GIOFQ.params.meta.Clearsky GHI Units GIOFQ.params.meta.Dew Point Units GIOFQ.params.meta.DHI Units GIOFQ.params.meta.DNI Units GIOFQ.params.meta.GHI Units GIOFQ.params.meta.Solar Zenith Angle Units GIOFQ.params.meta.Temperature Units GIOFQ.params.meta.Pressure Units GIOFQ.params.meta.Relative Humidity Units GIOFQ.params.meta.Precipitable Water Units GIOFQ.params.meta.Wind Direction Units GIOFQ.params.meta.Wind Speed Units GIOFQ.params.meta.Cloud Type -15 GIOFQ.params.meta.Cloud Type 0 GIOFQ.params.meta.Cloud Type 1 GIOFQ.params.meta.Cloud Type 2 GIOFQ.params.meta.Cloud Type 3 GIOFQ.params.meta.Cloud Type 4 GIOFQ.params.meta.Cloud Type 5 GIOFQ.params.meta.Cloud Type 6 GIOFQ.params.meta.Cloud Type 7 GIOFQ.params.meta.Cloud Type 8 GIOFQ.params.meta.Cloud Type 9 GIOFQ.params.meta.Cloud Type 10 GIOFQ.params.meta.Cloud Type 11 GIOFQ.params.meta.Cloud Type 12 GIOFQ.params.meta.Fill Flag 0 GIOFQ.params.meta.Fill Flag 1 GIOFQ.params.meta.Fill Flag 2 GIOFQ.params.meta.Fill Flag 3 GIOFQ.params.meta.Fill Flag 4 GIOFQ.params.meta.Fill Flag 5 GIOFQ.params.meta.Surface Albedo Units GIOFQ.params.meta.Version  GIOFQ.params.meta.latitude  GIOFQ.params.meta.longitude  GIOFQ.params.meta.tz  GIOFQ.params.meta.altitude\n",
+      "0                          0.33                               Year  Month  Day  Hour  Minute  dni  dhi  ghi  \\\n",
       "1999-01-01 00:30:00-07:00  1999      1    1     0      30  0.0  0.0  0.0   \n",
       "1999-01-01 01:30:00-07:00  1999      1    1     1      30  0.0  0.0  0.0   \n",
       "1999-01-01 02:30:00-07:00  1999      1    1     2      30  0.0  0.0  0.0   \n",
@@ -609,7 +609,7 @@
       "1999-12-31 22:30:00-07:00       0.0       -4.0         1.7              81.22  \n",
       "1999-12-31 23:30:00-07:00       0.0       -5.0         1.8              79.43  \n",
       "\n",
-      "[8760 rows x 12 columns]                    NSRDB                        145809                      -                       -                         -                                 w/m2                                 w/m2                                 w/m2                                 c                        w/m2                        w/m2                        w/m2                                     Degree                                   c                             mbar                                         %                                         cm                                Degrees                                m/s                              N/A                          Clear                 Probably Clear                            Fog                          Water             Super-Cooled Water                          Mixed                     Opaque Ice                         Cirrus                    Overlapping                   Overshooting                         Unknown                            Dust                           Smoke                           N/A                 Missing Image                Low Irradiance              Exceeds Clearsky      Missing CLoud Properties            Rayleigh Violation                                    N/A                     3.0.6                       39.73                      -105.18                        1820                    -7\n",
+      "[8760 rows x 12 columns]                    NSRDB                       145809.0                      -                       -                         -                                 w/m2                                 w/m2                                 w/m2                                 c                        w/m2                        w/m2                        w/m2                                     Degree                                   c                             mbar                                         %                                         cm                                Degrees                                m/s                              N/A                          Clear                 Probably Clear                            Fog                          Water             Super-Cooled Water                          Mixed                     Opaque Ice                         Cirrus                    Overlapping                   Overshooting                         Unknown                            Dust                           Smoke                           N/A                 Missing Image                Low Irradiance              Exceeds Clearsky      Missing CLoud Properties            Rayleigh Violation                                    N/A                     3.0.6                       39.73                      -105.18                  -7.0                      1820.0\n",
       "Results : Pipeline results : \n",
       "Pipeline has not been run\n",
       "'gids : [1060499]'\n",
@@ -681,10 +681,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:13.872349Z",
-     "iopub.status.busy": "2025-10-22T23:47:13.870911Z",
-     "iopub.status.idle": "2025-10-22T23:47:13.895979Z",
-     "shell.execute_reply": "2025-10-22T23:47:13.894968Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.478840Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.476192Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.484650Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.484650Z"
     }
    },
    "outputs": [
@@ -694,7 +694,7 @@
        "\n",
        "        
      # noqa\n",
        "            
    self.name: Point Minimum Standoff
    \n",
-       "            
    self.path: C:\\Users\\rdaxini\\Documents\\GitHub\\PVDegradationTools_NREL\\tutorials_and_tools\\tutorials_and_tools\\pvd_job_Point Minimum Standoff
      # noqa\n",
+       "            
    self.path: C:\\Users\\rdaxini\\Documents\\GitHub\\PVDegradationTools_NREL\\tutorials\\04_scenario\\pvd_job_Point Minimum Standoff
      # noqa\n",
        "            
    self.gids: [1060499]
    \n",
        "            
    self.email: user@mail.com
    \n",
        "            
    self.api_key: DEMO_KEY
    \n",
@@ -705,13 +705,13 @@
        "            
    \n",
        "                
    self.pipeline
    \n",
        "                
    \n",
-       "            
      # noqa\n",
+       "            
      # noqa\n",
        "                
    \n",
-       "                    ►  # noqa\n",
-       "                    standoff, #URFAT  # noqa\n",
+       "                    ►  # noqa\n",
+       "                    standoff, #OMWGH  # noqa\n",
        "                
    \n",
        "            
    \n",
-       "            
      # noqa\n",
+       "            
      # noqa\n",
        "                
    Job: standoff
    \n",
        "                
    Parameters:
    \n",
        "                
    \n",
@@ -719,13 +719,13 @@
        "                
    \n",
        "            
    \n",
        "            \n",
-       "            
      # noqa\n",
+       "            
      # noqa\n",
        "                
    \n",
-       "                    ►  # noqa\n",
-       "                    solder_fatigue, #RENCW  # noqa\n",
+       "                    ►  # noqa\n",
+       "                    solder_fatigue, #IRORP  # noqa\n",
        "                
    \n",
        "            
    \n",
-       "            
      # noqa\n",
+       "            
      # noqa\n",
        "                
    Job: solder_fatigue
    \n",
        "                
    Parameters:
    \n",
        "                
    \n",
@@ -735,13 +735,13 @@
        "                
    \n",
        "            
    \n",
        "            \n",
-       "            
      # noqa\n",
+       "            
      # noqa\n",
        "                
    \n",
-       "                    ►  # noqa\n",
-       "                    standoff, #SAAUO  # noqa\n",
+       "                    ►  # noqa\n",
+       "                    standoff, #GIOFQ  # noqa\n",
        "                
    \n",
        "            
    \n",
-       "            
      # noqa\n",
+       "            
      # noqa\n",
        "                
    Job: standoff
    \n",
        "                
    Parameters:
    \n",
        "                
    \n",
@@ -1035,10 +1035,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:13.903079Z",
-     "iopub.status.busy": "2025-10-22T23:47:13.900988Z",
-     "iopub.status.idle": "2025-10-22T23:47:14.247138Z",
-     "shell.execute_reply": "2025-10-22T23:47:14.246127Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.484650Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.484650Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.572328Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.572328Z"
     }
    },
    "outputs": [
@@ -1047,13 +1047,7 @@
      "output_type": "stream",
      "text": [
       "The array surface_tilt angle was not provided, therefore the latitude of  25.8 was used.\n",
-      "The array azimuth was not provided, therefore an azimuth of  180.0 was used.\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "The array azimuth was not provided, therefore an azimuth of  180.0 was used.\n",
       "The array surface_tilt angle was not provided, therefore the latitude of  25.8 was used.\n",
       "The array azimuth was not provided, therefore an azimuth of  180.0 was used.\n",
       "The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.\n",
@@ -1078,10 +1072,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:14.254232Z",
-     "iopub.status.busy": "2025-10-22T23:47:14.254232Z",
-     "iopub.status.idle": "2025-10-22T23:47:14.293224Z",
-     "shell.execute_reply": "2025-10-22T23:47:14.292214Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.574338Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.574338Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.585300Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.585300Z"
     }
    },
    "outputs": [
@@ -1089,18 +1083,18 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "URFAT              x      T98_0    T98_inf\n",
+      "OMWGH              x      T98_0    T98_inf\n",
       "0  0.951119 ...\n",
-      "RENCW                                    RENCW\n",
+      "IRORP                                    IRORP\n",
       "0  3.872319\n",
-      "SAAUO              x      T98_0    T98_inf\n",
+      "GIOFQ              x      T98_0    T98_inf\n",
       "0  2.008636 ...\n",
       "dtype: object\n",
       "We can't see out data in here so we need to do another step\n",
       "\n",
-      "this is the list of all available frames in results : Index(['URFAT', 'RENCW', 'SAAUO'], dtype='object')\n",
+      "this is the list of all available frames in results : Index(['OMWGH', 'IRORP', 'GIOFQ'], dtype='object')\n",
       "\n",
-      "URFAT\n"
+      "OMWGH\n"
      ]
     },
     {
@@ -1152,7 +1146,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "RENCW\n"
+      "IRORP\n"
      ]
     },
     {
@@ -1176,7 +1170,7 @@
        "  \n",
        "    \n",
        "      \n",
-       "      RENCW\n",
+       "      IRORP\n",
        "    \n",
        "  \n",
        "  \n",
@@ -1189,7 +1183,7 @@
        "
    "
       ],
       "text/plain": [
-       "      RENCW\n",
+       "      IRORP\n",
        "0  3.872319"
       ]
      },
@@ -1200,7 +1194,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "SAAUO\n"
+      "GIOFQ\n"
      ]
     },
     {
@@ -1278,10 +1272,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:47:14.298627Z",
-     "iopub.status.busy": "2025-10-22T23:47:14.297225Z",
-     "iopub.status.idle": "2025-10-22T23:47:14.306627Z",
-     "shell.execute_reply": "2025-10-22T23:47:14.305619Z"
+     "iopub.execute_input": "2026-01-26T23:43:00.585300Z",
+     "iopub.status.busy": "2026-01-26T23:43:00.585300Z",
+     "iopub.status.idle": "2026-01-26T23:43:00.589782Z",
+     "shell.execute_reply": "2026-01-26T23:43:00.589782Z"
     }
    },
    "outputs": [],
diff --git a/tutorials/04_scenario/pvd_job_temperature and degradation/temperature and degradation.json b/tutorials/04_scenario/pvd_job_temperature and degradation/temperature and degradation.json
new file mode 100644
index 00000000..5b260346
--- /dev/null
+++ b/tutorials/04_scenario/pvd_job_temperature and degradation/temperature and degradation.json	
@@ -0,0 +1,149 @@
+{
+    "name": "temperature and degradation",
+    "path": "C:\\Users\\rdaxini\\Documents\\GitHub\\PVDegradationTools_NREL\\tutorials\\04_scenario\\pvd_job_temperature and degradation",
+    "modules": [
+        {
+            "module_name": "sapm_1",
+            "racking": "open_rack_glass_polymer",
+            "material_params": {
+                "alias": "EVA-1",
+                "Fickian": true,
+                "Ead": 29.43112031,
+                "Do": 0.129061678,
+                "Eas": 16.6314948252219,
+                "So": 0.136034525059804,
+                "Eap": 49.1083457348515,
+                "Po": 528718258.338532
+            },
+            "temp_model": "sapm",
+            "model_kwarg": {
+                "irrad_ref": 1100
+            },
+            "irradiance_kwarg": {
+                "azimuth": 120,
+                "tilt": 30
+            }
+        },
+        {
+            "module_name": "pvsyst_1",
+            "racking": "freestanding",
+            "material_params": {
+                "alias": "EVA-1",
+                "Fickian": true,
+                "Ead": 29.43112031,
+                "Do": 0.129061678,
+                "Eas": 16.6314948252219,
+                "So": 0.136034525059804,
+                "Eap": 49.1083457348515,
+                "Po": 528718258.338532
+            },
+            "temp_model": "pvsyst",
+            "model_kwarg": {
+                "module_efficiency": 0.15
+            },
+            "irradiance_kwarg": {
+                "azimuth": 180,
+                "tilt": 0
+            }
+        },
+        {
+            "module_name": "sapm_2",
+            "racking": "open_rack_glass_polymer",
+            "material_params": {
+                "alias": "EVA-1",
+                "Fickian": true,
+                "Ead": 29.43112031,
+                "Do": 0.129061678,
+                "Eas": 16.6314948252219,
+                "So": 0.136034525059804,
+                "Eap": 49.1083457348515,
+                "Po": 528718258.338532
+            },
+            "temp_model": "sapm",
+            "model_kwarg": {
+                "irrad_ref": 1000
+            },
+            "irradiance_kwarg": {
+                "azimuth": 120,
+                "tilt": 30
+            }
+        },
+        {
+            "module_name": "sapm_3",
+            "racking": "open_rack_glass_polymer",
+            "material_params": {
+                "alias": "EVA-1",
+                "Fickian": true,
+                "Ead": 29.43112031,
+                "Do": 0.129061678,
+                "Eas": 16.6314948252219,
+                "So": 0.136034525059804,
+                "Eap": 49.1083457348515,
+                "Po": 528718258.338532
+            },
+            "temp_model": "sapm",
+            "model_kwarg": {
+                "irrad_ref": 1000
+            },
+            "irradiance_kwarg": {
+                "azimuth": 180,
+                "tilt": 0
+            }
+        },
+        {
+            "module_name": "pvsyst_2",
+            "racking": "freestanding",
+            "material_params": {
+                "alias": "EVA-1",
+                "Fickian": true,
+                "Ead": 29.43112031,
+                "Do": 0.129061678,
+                "Eas": 16.6314948252219,
+                "So": 0.136034525059804,
+                "Eap": 49.1083457348515,
+                "Po": 528718258.338532
+            },
+            "temp_model": "pvsyst",
+            "model_kwarg": {
+                "module_efficiency": 0.2
+            },
+            "irradiance_kwarg": {
+                "azimuth": 180,
+                "tilt": 0
+            }
+        }
+    ],
+    "gids": [
+        1060499
+    ],
+    "lat_long": [
+        25.783388,
+        -80.189029
+    ],
+    "pipeline": {
+        "BLHBO": {
+            "params": {
+                "cell_or_mod": "cell"
+            },
+            "qualified_function": "pvdeg.temperature.temperature"
+        },
+        "PZCWQ": {
+            "params": {
+                "I_chamber": 1000,
+                "temp_chamber": 25
+            },
+            "qualified_function": "pvdeg.degradation.vantHoff_deg"
+        },
+        "NDOMI": {
+            "params": {
+                "I_chamber": 1000,
+                "temp_chamber": 30
+            },
+            "qualified_function": "pvdeg.degradation.vantHoff_deg"
+        },
+        "RCRWT": {
+            "params": {},
+            "qualified_function": "pvdeg.degradation.IwaVantHoff"
+        }
+    }
+}
diff --git a/tutorials/05_advanced/04_nsrdb_distributed_api.ipynb b/tutorials/05_advanced/04_nsrdb_distributed_api.ipynb
index 5a804598..febbd102 100644
--- a/tutorials/05_advanced/04_nsrdb_distributed_api.ipynb
+++ b/tutorials/05_advanced/04_nsrdb_distributed_api.ipynb
@@ -12,10 +12,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:42:53.672945Z",
-     "iopub.status.busy": "2025-10-22T23:42:53.672945Z",
-     "iopub.status.idle": "2025-10-22T23:43:06.677094Z",
-     "shell.execute_reply": "2025-10-22T23:43:06.675531Z"
+     "iopub.execute_input": "2026-01-26T23:43:10.279080Z",
+     "iopub.status.busy": "2026-01-26T23:43:10.279080Z",
+     "iopub.status.idle": "2026-01-26T23:43:13.786694Z",
+     "shell.execute_reply": "2026-01-26T23:43:13.785679Z"
     }
    },
    "outputs": [],
@@ -42,10 +42,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:43:06.685009Z",
-     "iopub.status.busy": "2025-10-22T23:43:06.684009Z",
-     "iopub.status.idle": "2025-10-22T23:43:12.240481Z",
-     "shell.execute_reply": "2025-10-22T23:43:12.239969Z"
+     "iopub.execute_input": "2026-01-26T23:43:13.790134Z",
+     "iopub.status.busy": "2026-01-26T23:43:13.790134Z",
+     "iopub.status.idle": "2026-01-26T23:43:16.744202Z",
+     "shell.execute_reply": "2026-01-26T23:43:16.744202Z"
     }
    },
    "outputs": [
@@ -107,10 +107,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:43:12.333382Z",
-     "iopub.status.busy": "2025-10-22T23:43:12.332189Z",
-     "iopub.status.idle": "2025-10-22T23:43:28.475109Z",
-     "shell.execute_reply": "2025-10-22T23:43:28.470578Z"
+     "iopub.execute_input": "2026-01-26T23:43:16.747764Z",
+     "iopub.status.busy": "2026-01-26T23:43:16.747764Z",
+     "iopub.status.idle": "2026-01-26T23:43:23.651151Z",
+     "shell.execute_reply": "2026-01-26T23:43:23.650635Z"
     }
    },
    "outputs": [
@@ -149,10 +149,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-10-22T23:43:28.484432Z",
-     "iopub.status.busy": "2025-10-22T23:43:28.483407Z",
-     "iopub.status.idle": "2025-10-22T23:43:28.660971Z",
-     "shell.execute_reply": "2025-10-22T23:43:28.658935Z"
+     "iopub.execute_input": "2026-01-26T23:43:23.651151Z",
+     "iopub.status.busy": "2026-01-26T23:43:23.651151Z",
+     "iopub.status.idle": "2026-01-26T23:43:23.682479Z",
+     "shell.execute_reply": "2026-01-26T23:43:23.682479Z"
     }
    },
    "outputs": [
@@ -547,10 +547,10 @@
        "    pressure           (gid, time) float64 140kB dask.array<chunksize=(2, 8760), meta=np.ndarray>\n",
        "    wind_direction     (gid, time) float64 140kB dask.array<chunksize=(2, 8760), meta=np.ndarray>\n",
        "    wind_speed         (gid, time) float64 140kB dask.array<chunksize=(2, 8760), meta=np.ndarray>\n",
-       "    relative_humidity  (gid, time) float64 140kB dask.array<chunksize=(2, 8760), meta=np.ndarray>