mirror of https://github.com/home-assistant/core
367 lines
11 KiB
Plaintext
367 lines
11 KiB
Plaintext
# serializer version: 1
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# name: test_entry_diagnostics
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dict({
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'data': dict({
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'allergy_average_forecasted': dict({
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'ForecastDate': '2018-06-12T00:00:00-04:00',
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'Location': dict({
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'City': '**REDACTED**',
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'DisplayLocation': '**REDACTED**',
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'State': '**REDACTED**',
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'ZIP': '**REDACTED**',
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'periods': list([
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dict({
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'Index': 6.6,
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'Period': '2018-06-12T13:47:12.897',
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}),
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dict({
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'Index': 6.3,
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'Period': '2018-06-13T13:47:12.897',
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}),
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dict({
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'Index': 7.6,
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'Period': '2018-06-14T13:47:12.897',
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}),
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dict({
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'Index': 7.6,
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'Period': '2018-06-15T13:47:12.897',
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}),
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dict({
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'Index': 7.3,
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'Period': '2018-06-16T13:47:12.897',
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}),
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]),
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}),
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'Type': 'pollen',
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}),
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'allergy_index': dict({
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'ForecastDate': '2018-06-12T00:00:00-04:00',
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'Location': dict({
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'City': '**REDACTED**',
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'DisplayLocation': '**REDACTED**',
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'State': '**REDACTED**',
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'ZIP': '**REDACTED**',
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'periods': list([
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dict({
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'Index': 7.2,
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'Period': '0001-01-01T00:00:00',
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'Triggers': list([
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dict({
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'Genus': 'Juniperus',
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'LGID': 272,
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'Name': 'Juniper',
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'PlantType': 'Tree',
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}),
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dict({
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'Genus': 'Grasses',
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'LGID': 346,
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'Name': 'Grasses',
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'PlantType': 'Grass',
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}),
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dict({
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'Genus': 'Chenopods',
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'LGID': 63,
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'Name': 'Chenopods',
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'PlantType': 'Ragweed',
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}),
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]),
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'Type': 'Yesterday',
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}),
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dict({
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'Index': 6.6,
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'Period': '0001-01-01T00:00:00',
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'Triggers': list([
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dict({
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'Genus': 'Juniperus',
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'LGID': 272,
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'Name': 'Juniper',
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'PlantType': 'Tree',
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}),
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dict({
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'Genus': 'Grasses',
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'LGID': 346,
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'Name': 'Grasses',
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'PlantType': 'Grass',
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}),
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dict({
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'Genus': 'Chenopods',
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'LGID': 63,
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'Name': 'Chenopods',
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'PlantType': 'Ragweed',
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}),
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]),
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'Type': 'Today',
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}),
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dict({
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'Index': 6.3,
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'Period': '0001-01-01T00:00:00',
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'Triggers': list([
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dict({
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'Genus': 'Juniperus',
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'LGID': 272,
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'Name': 'Juniper',
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'PlantType': 'Tree',
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}),
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dict({
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'Genus': 'Grasses',
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'LGID': 346,
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'Name': 'Grasses',
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'PlantType': 'Grass',
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}),
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dict({
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'Genus': 'Chenopods',
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'LGID': 63,
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'Name': 'Chenopods',
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'PlantType': 'Ragweed',
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}),
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]),
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'Type': 'Tomorrow',
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}),
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]),
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}),
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'Type': 'pollen',
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}),
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'allergy_outlook': dict({
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'Market': '**REDACTED**',
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'Outlook': 'The amount of pollen in the air for Wednesday...',
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'Season': 'Tree',
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'Trend': 'subsiding',
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'TrendID': 4,
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'ZIP': '**REDACTED**',
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}),
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'asthma_average_forecasted': dict({
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'ForecastDate': '2018-10-28T00:00:00-04:00',
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'Location': dict({
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'City': '**REDACTED**',
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'DisplayLocation': '**REDACTED**',
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'State': '**REDACTED**',
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'ZIP': '**REDACTED**',
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'periods': list([
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dict({
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'Idx': '4.5',
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'Index': 4.5,
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'Period': '2018-10-28T05:45:01.45',
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}),
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dict({
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'Idx': '4.7',
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'Index': 4.7,
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'Period': '2018-10-29T05:45:01.45',
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}),
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dict({
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'Idx': '5.0',
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'Index': 5,
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'Period': '2018-10-30T05:45:01.45',
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}),
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dict({
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'Idx': '5.2',
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'Index': 5.2,
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'Period': '2018-10-31T05:45:01.45',
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}),
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dict({
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'Idx': '5.5',
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'Index': 5.5,
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'Period': '2018-11-01T05:45:01.45',
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}),
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]),
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}),
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'Type': 'asthma',
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}),
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'asthma_index': dict({
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'ForecastDate': '2018-10-29T00:00:00-04:00',
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'Location': dict({
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'City': '**REDACTED**',
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'DisplayLocation': '**REDACTED**',
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'State': '**REDACTED**',
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'ZIP': '**REDACTED**',
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'periods': list([
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dict({
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'Idx': '4.1',
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'Index': 4.1,
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'Period': '0001-01-01T00:00:00',
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'Triggers': list([
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dict({
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'Description': 'Ozone (O3) is a odorless, colorless ....',
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'LGID': 1,
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'Name': 'OZONE',
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'PPM': 42,
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}),
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dict({
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'Description': 'Fine particles (PM2.5) are 2.5 ...',
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'LGID': 1,
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'Name': 'PM2.5',
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'PPM': 30,
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}),
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dict({
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'Description': 'Coarse dust particles (PM10) are 2.5 ...',
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'LGID': 1,
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'Name': 'PM10',
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'PPM': 19,
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}),
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]),
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'Type': 'Yesterday',
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}),
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dict({
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'Idx': '4.5',
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'Index': 4.5,
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'Period': '0001-01-01T00:00:00',
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'Triggers': list([
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dict({
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'Description': 'Fine particles (PM2.5) are 2.5 ...',
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'LGID': 3,
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'Name': 'PM2.5',
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'PPM': 105,
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}),
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dict({
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'Description': 'Coarse dust particles (PM10) are 2.5 ...',
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'LGID': 2,
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'Name': 'PM10',
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'PPM': 65,
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}),
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dict({
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'Description': 'Ozone (O3) is a odorless, colorless ...',
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'LGID': 1,
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'Name': 'OZONE',
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'PPM': 42,
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}),
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]),
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'Type': 'Today',
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}),
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dict({
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'Idx': '4.6',
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'Index': 4.6,
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'Period': '0001-01-01T00:00:00',
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'Triggers': list([
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]),
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'Type': 'Tomorrow',
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}),
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]),
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}),
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'Type': 'asthma',
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}),
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'disease_average_forecasted': dict({
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'ForecastDate': '2018-06-12T00:00:00-04:00',
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'Location': dict({
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'City': '**REDACTED**',
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'DisplayLocation': '**REDACTED**',
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'State': '**REDACTED**',
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'ZIP': '**REDACTED**',
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'periods': list([
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dict({
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'Index': 2.4,
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'Period': '2018-06-12T05:13:51.817',
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}),
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dict({
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'Index': 2.5,
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'Period': '2018-06-13T05:13:51.817',
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}),
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dict({
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'Index': 2.5,
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'Period': '2018-06-14T05:13:51.817',
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}),
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dict({
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'Index': 2.5,
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'Period': '2018-06-15T05:13:51.817',
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}),
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]),
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}),
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'Type': 'cold',
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}),
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'disease_index': dict({
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'ForecastDate': '2019-04-07T00:00:00-04:00',
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'Location': dict({
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'City': '**REDACTED**',
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'DisplayLocation': '**REDACTED**',
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'State': '**REDACTED**',
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'ZIP': '**REDACTED**',
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'periods': list([
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dict({
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'Idx': '6.8',
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'Index': 6.8,
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'Period': '2019-04-06T00:00:00',
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'Triggers': list([
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dict({
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'Description': 'Influenza',
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'Idx': '3.1',
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'Index': 3.1,
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'Name': 'Flu',
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}),
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dict({
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'Description': 'High Fever',
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'Idx': '6.2',
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'Index': 6.2,
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'Name': 'Fever',
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}),
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dict({
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'Description': 'Strep & Sore throat',
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'Idx': '5.2',
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'Index': 5.2,
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'Name': 'Strep',
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}),
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dict({
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'Description': 'Cough',
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'Idx': '7.8',
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'Index': 7.8,
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'Name': 'Cough',
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}),
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]),
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'Type': 'Yesterday',
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}),
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dict({
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'Idx': '6.7',
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'Index': 6.7,
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'Period': '2019-04-07T03:52:58',
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'Triggers': list([
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dict({
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'Description': 'Influenza',
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'Idx': '3.1',
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'Index': 3.1,
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'Name': 'Flu',
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}),
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dict({
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'Description': 'High Fever',
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'Idx': '5.9',
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'Index': 5.9,
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'Name': 'Fever',
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}),
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dict({
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'Description': 'Strep & Sore throat',
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'Idx': '5.1',
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'Index': 5.1,
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'Name': 'Strep',
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}),
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dict({
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'Description': 'Cough',
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'Idx': '7.7',
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'Index': 7.7,
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'Name': 'Cough',
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}),
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]),
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'Type': 'Today',
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}),
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]),
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}),
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'Type': 'cold',
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}),
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}),
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'entry': dict({
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'data': dict({
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'zip_code': '**REDACTED**',
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}),
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'disabled_by': None,
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'discovery_keys': dict({
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}),
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'domain': 'iqvia',
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'entry_id': '690ac4b7e99855fc5ee7b987a758d5cb',
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'minor_version': 1,
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'options': dict({
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}),
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'pref_disable_new_entities': False,
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'pref_disable_polling': False,
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'source': 'user',
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'title': '**REDACTED**',
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'unique_id': '**REDACTED**',
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'version': 1,
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}),
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})
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# ---
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