reseau-urbain-aravis-bus — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-24T02:19:14Z,
for the dataset file:///shared/reseau-urbain-aravis-bus_9143ecaf.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Aplibus
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
N/A
Feed End Date:
N/A

Files included


  1. agency.txt
  2. calendar_dates.txt
  3. feed_info.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 29
  • Shapes: 61
  • Stops: 386
  • Trips: 20126

Specification Compliance report

5959 notices reported (686 errors, 5273 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 686

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 686 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"700000921" "La Clus123" 53676 0.0 2 53675 0.0 1
"700000921" "La Clusa35" 53679 0.873 5 53678 0.873 4
"700000920" "La Clus123" 53671 0.0 2 53670 0.0 1
"700000920" "La Clusa35" 53674 0.873 5 53673 0.873 4
"700000919" "La Clus123" 53666 0.0 2 53665 0.0 1
"700000919" "La Clusa35" 53669 0.873 5 53668 0.873 4
"700000914" "La Clus123" 53641 0.0 2 53640 0.0 1
"700000914" "La Clusa35" 53644 0.873 5 53643 0.873 4
"700000913" "La Clus123" 53636 0.0 2 53635 0.0 1
"700000913" "La Clusa35" 53639 0.873 5 53638 0.873 4
"700000912" "La Clus123" 53631 0.0 2 53630 0.0 1
"700000912" "La Clusa35" 53634 0.873 5 53633 0.873 4
"700000911" "La Clus123" 53626 0.0 2 53625 0.0 1
"700000911" "La Clusa35" 53629 0.873 5 53628 0.873 4
"700000918" "La Clus123" 53661 0.0 2 53660 0.0 1
"700000918" "La Clusa35" 53664 0.873 5 53663 0.873 4
"700000917" "La Clus123" 53656 0.0 2 53655 0.0 1
"700000917" "La Clusa35" 53659 0.873 5 53658 0.873 4
"700000916" "La Clus123" 53651 0.0 2 53650 0.0 1
"700000916" "La Clusa35" 53654 0.873 5 53653 0.873 4
"700000915" "La Clus123" 53646 0.0 2 53645 0.0 1
"700000915" "La Clusa35" 53649 0.873 5 53648 0.873 4
"700000910" "La Clus123" 53621 0.0 2 53620 0.0 1
"700000910" "La Clusa35" 53624 0.873 5 53623 0.873 4
"700000909" "La Clus123" 53616 0.0 2 53615 0.0 1
"700000909" "La Clusa35" 53619 0.873 5 53618 0.873 4
"700000908" "La Clus123" 53611 0.0 2 53610 0.0 1
"700000908" "La Clusa35" 53614 0.873 5 53613 0.873 4
"700000907" "La Clus123" 53606 0.0 2 53605 0.0 1
"700000907" "La Clusa35" 53609 0.873 5 53608 0.873 4
"700000906" "La Clus123" 53601 0.0 2 53600 0.0 1
"700000906" "La Clusa35" 53604 0.873 5 53603 0.873 4
"700000905" "La Clus123" 53596 0.0 2 53595 0.0 1
"700000905" "La Clusa35" 53599 0.873 5 53598 0.873 4
"700000923" "La Clus123" 53686 0.0 2 53685 0.0 1
"700000923" "La Clusa35" 53689 0.873 5 53688 0.873 4
"700000922" "La Clus123" 53681 0.0 2 53680 0.0 1
"700000922" "La Clusa35" 53684 0.873 5 53683 0.873 4
"1600000954" "La Clus123" 155041 0.0 2 155040 0.0 1
"1600000954" "La Clusa35" 155044 0.873 5 155043 0.873 4
"1600000953" "La Clus123" 154926 0.0 2 154925 0.0 1
"1600000953" "La Clusa35" 154929 0.873 5 154928 0.873 4
"1600000950" "La Clus123" 154567 0.0 2 154566 0.0 1
"1600000950" "La Clusa35" 154570 0.873 5 154569 0.873 4
"1600000952" "La Clus123" 154880 0.0 2 154879 0.0 1
"1600000952" "La Clusa35" 154883 0.873 5 154882 0.873 4
"1600000951" "La Clus123" 154720 0.0 2 154719 0.0 1
"1600000951" "La Clusa35" 154723 0.873 5 154722 0.873 4
"1600000921" "La Clus123" 145561 0.0 2 145560 0.0 1
"1600000921" "La Clusa35" 145564 0.873 5 145563 0.873 4
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2357

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 2357 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"44" 7430 0.0 2 7429 0.0 1 0.39108967474727696
"44" 7450 0.611 22 7449 0.611 21 7.310082992718178E-10
"44" 7452 0.612 24 7451 0.612 23 7.179469251024373E-10
"44" 7475 1.005 47 7474 1.005 46 1.4978248721295648E-9
"44" 7476 1.005 48 7475 1.005 47 0.43766811585981014
"44" 7477 1.005 49 7476 1.005 48 0.2795778259522625
"44" 7491 1.459 63 7490 1.459 62 1.4477110824876196E-9
"44" 7492 1.459 64 7491 1.459 63 0.3815978939416199
"44" 7512 1.868 84 7511 1.868 83 1.7234906732837713E-9
"44" 7514 1.869 86 7513 1.869 85 1.212228333493604E-9
"44" 7526 2.132 98 7525 2.132 97 4.307192655693822E-10
"44" 7527 2.132 99 7526 2.132 98 0.23206038724308403
"44" 7528 2.132 100 7527 2.132 99 8.281464935382561E-10
"44" 7553 2.812 125 7552 2.812 124 7.713493743199731E-10
"44" 7554 2.812 126 7553 2.812 125 0.7714849400572529
"44" 7555 2.812 127 7554 2.812 126 7.713493887596069E-10
"44" 7563 3.164 135 7562 3.164 134 7.489353433871088E-10
"44" 7565 3.165 137 7564 3.165 136 0.5980629053895802
"44" 7571 3.491 143 7570 3.491 142 7.71361621353984E-10
"44" 7572 3.491 144 7571 3.491 143 0.23355391097299671
"44" 7573 3.491 145 7572 3.491 144 7.713616259957122E-10
"44" 7583 3.614 155 7582 3.614 154 0.4282188313335528
"44" 7584 3.614 156 7583 3.614 155 2.4002570306452873E-9
"44" 7593 3.906 165 7592 3.906 164 7.179552570359557E-10
"44" 7594 3.906 166 7593 3.906 165 0.18714132096958755
"44" 7595 3.906 167 7594 3.906 166 1.419993774629411E-9
"44" 7607 4.235 179 7606 4.235 178 3.6929116800696845E-10
"44" 7608 4.235 180 7607 4.235 179 0.5190478805908565
"44" 7609 4.235 181 7608 4.235 180 4.308396960081298E-10
"44" 7629 4.714 201 7628 4.714 200 1.7968662825094615E-9
"45" 7631 0.0 2 7630 0.0 1 0.3972651553023401
"45" 7723 2.343 94 7722 2.343 93 1.0455978862392565E-9
"45" 7725 2.346 96 7724 2.346 95 2.365595431666093E-9
"45" 7754 2.919 125 7753 2.919 124 1.1625066544481209E-9
"45" 7755 2.919 126 7754 2.919 125 0.5611573599684496
"45" 7844 6.142 215 7843 6.142 214 7.099912996022451E-10
"46" 7846 0.0 2 7845 0.0 1 0.39108967474727696
"46" 7866 0.611 22 7865 0.611 21 7.310082992718178E-10
"46" 7868 0.612 24 7867 0.612 23 7.179469251024373E-10
"46" 7891 1.005 47 7890 1.005 46 1.4978248721295648E-9
"46" 7892 1.005 48 7891 1.005 47 0.43766811585981014
"46" 7893 1.005 49 7892 1.005 48 0.2795778259522625
"46" 7907 1.459 63 7906 1.459 62 1.4477110824876196E-9
"46" 7908 1.459 64 7907 1.459 63 0.3815978939416199
"46" 7928 1.868 84 7927 1.868 83 1.7234906732837713E-9
"46" 7930 1.869 86 7929 1.869 85 1.212228333493604E-9
"46" 7942 2.132 98 7941 2.132 97 4.307192655693822E-10
"46" 7943 2.132 99 7942 2.132 98 0.23206038724308403
"46" 7944 2.132 100 7943 2.132 99 8.281464935382561E-10
"46" 7969 2.812 125 7968 2.812 124 7.713493743199731E-10
equal_shape_distance_same_coordinates WARNING 60

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 60 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"48" 8901 3.708 138 8900 3.708 137
"50" 10019 6.948 275 10018 6.948 274
"50" 10119 9.971 375 10118 9.971 374
"50" 10131 10.233 387 10130 10.233 386
"11" 5025 1.088 81 5024 1.088 80
"12" 5447 4.316 183 5446 4.316 182
"12" 5460 4.711 196 5459 4.711 195
"12" 5473 4.896 209 5472 4.896 208
"12" 5661 10.245 397 5660 10.245 396
"57" 16170 1.604 96 16169 1.604 95
"18" 11023 9.01 231 11022 9.01 230
"19" 11224 0.867 26 11223 0.867 25
"19" 11253 1.876 55 11252 1.876 54
"1" 124 3.146 123 123 3.146 122
"1" 137 3.541 136 136 3.541 135
"1" 150 3.725 149 149 3.725 148
"2" 431 3.146 123 430 3.146 122
"2" 444 3.541 136 443 3.541 135
"2" 457 3.725 149 456 3.725 148
"2" 645 9.074 337 644 9.074 336
"3" 895 4.47 186 894 4.47 185
"3" 908 4.865 199 907 4.865 198
"3" 921 5.049 212 920 5.049 211
"3" 1040 8.804 331 1039 8.804 330
"4" 1343 3.146 123 1342 3.146 122
"4" 1356 3.541 136 1355 3.541 135
"4" 1369 3.725 149 1368 3.725 148
"4" 1557 9.074 337 1556 9.074 336
"60" 17445 3.27 111 17444 3.27 110
"62" 18836 5.761 222 18835 5.761 221
"62" 18850 6.02 236 18849 6.02 235
"62" 19015 9.843 401 19014 9.843 400
"62" 19259 16.417 645 19258 16.417 644
"20" 11767 4.758 173 11766 4.758 172
"21" 11985 2.703 147 11984 2.703 146
"21" 12068 4.9 230 12067 4.9 229
"22" 12471 0.845 88 12470 0.845 87
"24" 12860 1.826 92 12859 1.826 91
"24" 12880 2.234 112 12879 2.234 111
"25" 13544 1.826 92 13543 1.826 91
"25" 13564 2.234 112 13563 2.234 111
"26" 14533 1.939 78 14532 1.939 77
"26" 14553 2.348 98 14552 2.348 97
"28" 15712 1.442 111 15711 1.442 110
"31" 16662 3.453 103 16661 3.453 102
"31" 16891 10.522 332 16890 10.522 331
"37" 1816 3.146 123 1815 3.146 122
"37" 1829 3.541 136 1828 3.541 135
"37" 1842 3.725 149 1841 3.725 148
"39" 3875 5.64 246 3874 5.64 245
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 3

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
mixed_case_recommended_field WARNING 2

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "rdta" 2
"routes.txt" "route_short_name" "IS EXPRESS" 24
route_long_name_contains_short_name WARNING 27

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"Ligne 1" 2 "Ligne 1" "Ligne 1"
"Ligne 2" 3 "Ligne 2" "Ligne 2"
"Ligne 3" 4 "Ligne 3" "Ligne 3"
"Ligne 4" 5 "Ligne 4" "Ligne 4"
"Ligne 5" 6 "Ligne 5" "Ligne 5"
"Ligne 6" 7 "Ligne 6" "Ligne 6"
"Ligne 6+7" 8 "Ligne 6+7" "Ligne 6+7"
"Ligne 7" 9 "Ligne 7" "Ligne 7"
"Ligne 8" 10 "Ligne 8" "Ligne 8"
"Ligne A" 11 "Ligne A" "Ligne A"
"Ligne A Nuit" 12 "Ligne A Nuit" "Ligne A Nuit"
"Ligne ABD" 13 "Ligne ABD" "Ligne ABD"
"Ligne Araviski" 14 "Ligne Araviski" "Ligne Araviski"
"Ligne B" 15 "Ligne B" "Ligne B"
"Ligne C" 16 "Ligne C" "Ligne C"
"Ligne D" 17 "Ligne D" "Ligne D"
"Ligne DE" 18 "Ligne DE" "Ligne DE"
"Ligne E" 19 "Ligne E" "Ligne E"
"Ligne F" 20 "Ligne F" "Ligne F"
"Ligne FG" 21 "Ligne FG" "Ligne FG"
"Ligne G" 22 "Ligne G" "Ligne G"
"Ligne IS" 23 "Ligne IS" "Ligne IS"
"Ligne M" 25 "Ligne M" "Ligne M"
"Ligne NM" 26 "Ligne NM" "Ligne NM"
"Ligne Toupie La Clusaz" 27 "Ligne Toupie La Clusaz" "Ligne Toupie La Clusaz"
"Ligne Toupie" 28 "Ligne Toupie" "Ligne Toupie"
"Ligne V" 30 "Ligne V" "Ligne V"
route_short_name_too_long WARNING 2

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`.
"Ligne Araviski" 14 "Ligne Araviski"
"Ligne Toupie La Clusaz" 27 "Ligne Toupie La Clusaz"
stop_too_far_from_shape_using_user_distance WARNING 21

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
3929 "56" "900001487" 78864 "Le Grand33" "Le Grand-Bornand - La Matte 2" [45.966246666899195,6.444386296029748] 103.61221087457209
3929 "56" "900001487" 78866 "Le Grand35" "Le Grand-Bornand - Le Charmieux" [45.96920253190552,6.450086530254067] 109.48103245445726
3929 "56" "900001487" 78867 "Le Grand36" "Le Grand-Bornand - Les Bruyeres" [45.971449496109564,6.4529102944450365] 108.50251392448217
3929 "56" "900001487" 78868 "Le Grand37" "Le Grand-Bornand - La Floria" [45.972269722306834,6.454115277475767] 111.96620260761102
3929 "56" "900001487" 78869 "Le Grand23" "Le Grand-Bornand - Le Châtelet" [45.97340342858701,6.456132724756633] 113.73329962800103
2474 "35" "700000862" 53506 "Thones14" "Thônes - Les Perasses" [45.88681311554548,6.314963093812517] 111.33184195531815
2474 "35" "700000862" 53507 "Thones 16" "Thônes - Thuy" [45.89437398381155,6.304003149508972] 112.24315296455238
2474 "35" "700000862" 53508 "Alex - Le" "Alex - Le Pont" [45.89133644979273,6.239978793612089] 112.74065913741597
2474 "35" "700000862" 53509 "Alex - Ron" "Alex - Rond Point" [45.8908309964045,6.236484142493547] 113.4827661229163
2474 "35" "700000862" 53510 "Alex - Ham" "Alex - Hameau le Pont" [45.89412753324803,6.224318965348177] 113.39129184723697
2474 "35" "700000862" 53511 "Dingy Sain" "Dingy Saint Clair - Glandon" [45.90295218265643,6.2129694172047225] 116.25529076244459
2474 "35" "700000862" 53512 "Dingy Sai1" "Dingy Saint Clair - Village" [45.9091424645768,6.221559812346288] 115.89446725358572
2474 "35" "700000862" 53513 "Dingy Sai2" "Dingy Saint Clair - Provenat" [45.90787963779279,6.225260343781146] 117.27483279314038
2474 "35" "700000862" 53514 "Dingy Sai3" "Dingy Saint Clair - Gallay" [45.904476940854046,6.231199922303116] 119.22036274532603
2474 "35" "700000862" 53515 "Dingy Sai4" "Dingy Saint Clair - Chessenay" [45.902339577798955,6.237014643188585] 123.54700502789731
2474 "35" "700000862" 53516 "La Balme d" "La Balme de Thuy - Charvex" [45.89810328426736,6.2462485669480445] 124.58583586977372
2474 "35" "700000862" 53517 "La Balme 1" "La Balme de Thuy - Salignon" [45.896734969903875,6.258882819924326] 123.36810378123734
2474 "35" "700000862" 53518 "La Balme 2" "La Balme de Thuy - Chef Lieu" [45.900650092653066,6.274399199387629] 133.37201722610388
2474 "35" "700000862" 53519 "Thones20" "Thônes - Morette" [45.899881276434186,6.290209263254433] 132.80826593683724
2474 "35" "700000862" 53520 "Thones15" "Thônes - Thuy" [45.89552500049425,6.301180469696455] 147.46658720833528
2474 "35" "700000862" 53521 "Thones13" "Thônes - Les Perasses" [45.888556796811564,6.312948334755505] 144.47816356053335
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260324" "20251202" "20260308"
trip_distance_exceeds_shape_distance_below_threshold WARNING 2799

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 2799 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"100000774" "12" 13.875 13.871 0.4063964410287226
"100000354" "11" 3.95 3.937 0.6360973974795602
"100000355" "11" 3.95 3.937 0.6360973974795602
"100000356" "11" 3.95 3.937 0.6360973974795602
"100000357" "11" 3.95 3.937 0.6360973974795602
"100000358" "11" 3.95 3.937 0.6360973974795602
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