taneo — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-08T01:50:10Z,
for the dataset file:///shared/taneo_72d01b5d.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


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

Counts


  • Agencies: 1
  • Blocks: 196
  • Routes: 16
  • Shapes: 47
  • Stops: 459
  • Trips: 988

Specification Compliance report

1976 notices reported (28 errors, 1948 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 28

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.

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`.
"221360-H25_26-V_URB_ET-Semaine-03" "NEHOPTL1" 19130 2.659 10 19129 2.659 9
"221360-H25_26-V_URB_ET-Semaine-03" "MACCIAL1" 19131 2.659 11 19130 2.659 10
"221360-H25_26-V_URB_ET-Semaine-03" "NEBANY1" 19132 2.659 12 19131 2.659 11
"179488-H25_26-25H09-Samedi-24" "NENGARE1" 7763 2.644 11 7762 2.644 10
"179482-H25_26-25H09-Samedi-24" "NEHOPTL1" 7695 2.659 10 7694 2.659 9
"179482-H25_26-25H09-Samedi-24" "MACCIAL1" 7696 2.659 11 7695 2.659 10
"179482-H25_26-25H09-Samedi-24" "NEBANY1" 7697 2.659 12 7696 2.659 11
"221355-H25_26-V_URB_ET-Semaine-03" "NENGARE1" 19076 2.644 11 19075 2.644 10
"221358-H25_26-V_URB_ET-Semaine-03" "NENGARE1" 19109 2.644 11 19108 2.644 10
"179487-H25_26-25H09-Samedi-24" "NENGARE1" 7752 2.644 11 7751 2.644 10
"179491-H25_26-25H09-Samedi-24" "NENGARE1" 7796 2.644 11 7795 2.644 10
"179484-H25_26-25H09-Samedi-24" "NEHOPTL1" 7719 2.659 10 7718 2.659 9
"179484-H25_26-25H09-Samedi-24" "MACCIAL1" 7720 2.659 11 7719 2.659 10
"179484-H25_26-25H09-Samedi-24" "NEBANY1" 7721 2.659 12 7720 2.659 11
"221356-H25_26-V_URB_ET-Semaine-03" "NENGARE1" 19087 2.644 11 19086 2.644 10
"221357-H25_26-V_URB_ET-Semaine-03" "NENGARE1" 19098 2.644 11 19097 2.644 10
"179489-H25_26-25H09-Samedi-24" "NENGARE1" 7774 2.644 11 7773 2.644 10
"221359-H25_26-V_URB_ET-Semaine-03-0000100" "NENGARE1" 19120 2.644 11 19119 2.644 10
"179483-H25_26-25H09-Samedi-24" "NEHOPTL1" 7707 2.659 10 7706 2.659 9
"179483-H25_26-25H09-Samedi-24" "MACCIAL1" 7708 2.659 11 7707 2.659 10
"179483-H25_26-25H09-Samedi-24" "NEBANY1" 7709 2.659 12 7708 2.659 11
"179490-H25_26-25H09-Samedi-24" "NENGARE1" 7785 2.644 11 7784 2.644 10
"221361-H25_26-V_URB_ET-Semaine-03" "NEHOPTL1" 19142 2.659 10 19141 2.659 9
"221361-H25_26-V_URB_ET-Semaine-03" "MACCIAL1" 19143 2.659 11 19142 2.659 10
"221361-H25_26-V_URB_ET-Semaine-03" "NEBANY1" 19144 2.659 12 19143 2.659 11
"221362-H25_26-V_URB_ET-Semaine-03" "NEHOPTL1" 19154 2.659 10 19153 2.659 9
"221362-H25_26-V_URB_ET-Semaine-03" "MACCIAL1" 19155 2.659 11 19154 2.659 10
"221362-H25_26-V_URB_ET-Semaine-03" "NEBANY1" 19156 2.659 12 19155 2.659 11
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 163

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 163 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.
"40043" 3627 3.584 120001 3626 3.584 110025 0.5763013423836605
"40043" 3687 4.609 140036 3686 4.609 140035 0.7329114865673769
"40043" 3820 6.503 200001 3819 6.503 190023 0.2532213951557959
"T10003" 23956 2.332 70013 23955 2.332 70012 0.6167392663124049
"40042" 2691 0.441 20002 2690 0.441 20001 0.46836669732394315
"40042" 2949 4.538 130001 2948 4.538 120020 0.6268821089782562
"40042" 3354 12.665 330002 3353 12.665 330001 0.6170176117458854
"40041" 2082 2.547 90001 2081 2.547 80025 0.5763013423836605
"40041" 2275 5.466 170001 2274 5.466 160023 0.2532213951557959
"40045" 4236 0.441 20002 4235 0.441 20001 0.46836669732394315
"40045" 4494 4.538 130001 4493 4.538 120020 0.6268821089782562
"40049" 5841 2.547 90001 5840 2.547 80025 0.5763013423836605
"40049" 6034 5.466 170001 6033 5.466 160023 0.2532213951557959
"160001" 20421 4.535 70002 20420 4.535 70001 0.8108403505536936
"40048" 4985 0.441 20002 4984 0.441 20001 0.46836669732394315
"40048" 5243 4.538 130001 5242 4.538 120020 0.6268821089782562
"T20025" 25763 0.785 40002 25762 0.785 40001 0.23496568762581518
"T20025" 25814 1.466 60002 25813 1.466 60001 0.5050675281053313
"170003" 21099 2.841 20030 21098 2.841 20029 0.8285328307333882
"120023" 16493 3.65 110045 16492 3.65 110044 0.5611187569449013
"120023" 16599 5.606 140002 16598 5.606 140001 0.4393403678403951
"120023" 16793 9.406 170001 16792 9.406 160071 0.11119510090982554
"NOCO0007" 23069 0.81 40002 23068 0.81 40001 0.23496568762581518
"NOCO0007" 23120 1.491 60002 23119 1.491 60001 0.5050675281053313
"NOCO0007" 23571 9.12 100216 23570 9.12 100215 0.6461778190209004
"140017" 18461 1.386 50001 18460 1.386 40005 0.46992991440564397
"140017" 18504 2.364 60001 18503 2.364 50043 0.3791714451708608
"140017" 18765 7.642 180002 18764 7.642 180001 0.5050675281053313
"140017" 18963 10.291 240002 18962 10.291 240001 0.15167154448117484
"50039" 6465 0.846 30012 6464 0.846 30011 0.6165740280187998
"50039" 6545 2.118 80002 6544 2.118 80001 0.7783657077834272
"50039" 6580 3.214 100001 6579 3.214 90006 0.26917233557222225
"50039" 6632 4.977 100053 6631 4.977 100052 0.6461778190209004
"50039" 6735 7.195 130001 6734 7.195 120025 0.4037898350462034
"50039" 6877 10.001 220001 6876 10.001 210025 0.5763013423836605
"140018" 19091 0.343 20001 19090 0.343 10033 0.40376922154280537
"140018" 19160 2.144 70008 19159 2.144 70007 0.253227034052236
"140018" 19277 3.9 130001 19276 3.9 120002 0.600741155470642
"T10031" 24022 1.0 40001 24021 1.0 30020 0.39527184805789806
"T10031" 24077 1.738 60002 24076 1.738 60001 0.23497034720103815
"T10031" 24236 4.329 130014 24235 4.329 130013 0.7903926195152478
"NOCO0006" 22724 0.81 40002 22723 0.81 40001 0.23496568762581518
"NOCO0006" 22775 1.491 60002 22774 1.491 60001 0.5050675281053313
"180002" 21959 11.358 80001 21958 11.358 70031 0.5840109863893842
"180001" 21382 2.216 50001 21381 2.216 40029 0.5634618387784462
"180001" 21422 3.491 60001 21421 3.491 50040 0.44478040434662636
"T10038" 24368 1.0 40001 24367 1.0 30020 0.39527184805789806
"T10038" 24423 1.738 60002 24422 1.738 60001 0.23497034720103815
"T10038" 24582 4.329 130014 24581 4.329 130013 0.7903926195152478
"T10038" 24686 5.769 190001 24685 5.769 180002 0.600741155470642
equal_shape_distance_same_coordinates WARNING 911

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 911 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`.
"40043" 3472 0.142 20001 3471 0.142 10012
"40043" 3495 0.566 30001 3494 0.566 20023
"40043" 3513 0.89 40001 3512 0.89 30018
"40043" 3534 1.33 50001 3533 1.33 40021
"40043" 3552 1.633 60001 3551 1.633 50018
"40043" 3561 1.998 70001 3560 1.998 60009
"40043" 3568 2.227 80001 3567 2.227 70007
"40043" 3580 2.542 90001 3579 2.542 80012
"40043" 3592 2.933 100001 3591 2.933 90012
"40043" 3602 3.084 110001 3601 3.084 100010
"40043" 3652 4.082 140001 3651 4.082 130023
"40043" 3688 4.609 150001 3687 4.609 140036
"40043" 3696 4.758 160001 3695 4.758 150008
"40043" 3729 5.122 170001 3728 5.122 160033
"40043" 3742 5.387 180001 3741 5.387 170013
"40043" 3797 6.056 190001 3796 6.056 180055
"40043" 3845 7.22 210001 3844 7.22 200025
"40043" 3864 7.48 220001 3863 7.48 210019
"40043" 3893 8.227 230001 3892 8.227 220029
"40043" 3906 8.788 240001 3905 8.788 230013
"40043" 3920 9.174 250001 3919 9.174 240014
"40043" 3940 9.529 260001 3939 9.529 250020
"40043" 3975 10.035 270001 3974 10.035 260035
"40043" 4013 10.581 280001 4012 10.581 270038
"40043" 4038 11.073 290001 4037 11.073 280025
"40043" 4064 11.395 300001 4063 11.395 290026
"40043" 4081 11.715 310001 4080 11.715 300017
"40043" 4093 11.991 320001 4092 11.991 310012
"40043" 4106 12.286 330001 4105 12.286 320013
"40043" 4133 12.69 340001 4132 12.69 330027
"40043" 4149 12.936 350001 4148 12.936 340016
"40043" 4170 13.207 360001 4169 13.207 350021
"T10003" 23825 0.201 20001 23824 0.201 10008
"T10003" 23848 0.538 30001 23847 0.538 20023
"T10003" 23888 0.937 40001 23887 0.937 30040
"T10003" 23907 1.128 50001 23906 1.128 40019
"T10003" 23919 1.396 60001 23918 1.396 50012
"T10003" 23944 2.065 70001 23943 2.065 60025
"T10003" 23957 2.332 80001 23956 2.332 70013
"40042" 2690 0.441 20001 2689 0.441 10028
"40042" 2713 0.736 30001 2712 0.736 20023
"40042" 2741 1.018 40001 2740 1.018 30028
"40042" 2766 1.395 50001 2765 1.395 40025
"40042" 2782 1.723 60001 2781 1.723 50016
"40042" 2791 1.957 70001 2790 1.957 60009
"40042" 2814 2.365 80001 2813 2.365 70023
"40042" 2836 2.605 90001 2835 2.605 80022
"40042" 2863 3.105 100001 2862 3.105 90027
"40042" 2893 3.548 110001 2892 3.548 100030
"40042" 2929 4.135 120001 2928 4.135 110036
missing_recommended_field WARNING 16

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.
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 610

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.

Only the first 50 of 610 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "LPA / LEGTA" 8
"stops.txt" "stop_name" "LPA / LEGTA" 9
"trips.txt" "trip_headsign" "4 CHEMINEES" 2
"trips.txt" "trip_headsign" "4 CHEMINEES" 3
"trips.txt" "trip_headsign" "4 CHEMINEES" 4
"trips.txt" "trip_headsign" "4 CHEMINEES" 5
"trips.txt" "trip_headsign" "NEVERS GARE" 10
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 11
"trips.txt" "trip_headsign" "NEVERS GARE" 12
"trips.txt" "trip_headsign" "NEVERS GARE" 13
"trips.txt" "trip_headsign" "NEVERS GARE" 14
"trips.txt" "trip_headsign" "NEVERS GARE" 15
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 16
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 17
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 18
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 19
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 20
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 21
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 22
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 23
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 24
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 25
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 26
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 27
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 28
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 29
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 30
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 31
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 32
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 33
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 34
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 35
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 36
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 37
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 38
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 39
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 40
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 41
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 42
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 43
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 44
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 45
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 46
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 47
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 48
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 49
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 50
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 51
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 52
"trips.txt" "trip_headsign" "SANS VOYAGEUR" 53
route_color_contrast WARNING 1

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"12-22" 6 "#9FD6F6" "#FFFFFF"
stop_too_far_from_shape_using_user_distance WARNING 14

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.
297 "NOCO0007" "179482-H25_26-25H09-Samedi-24" 7695 "NEHOPTL1" "Hôpital Bérégovoy" [46.988716000000004,3.150477] 2180.735088332295
297 "NOCO0007" "179482-H25_26-25H09-Samedi-24" 7696 "MACCIAL1" "Centre Commercial" [46.988716000000004,3.150477] 3422.4569979898256
297 "NOCO0007" "179482-H25_26-25H09-Samedi-24" 7697 "NEBANY1" "Banlay" [46.988716000000004,3.150477] 1786.9588778753398
2 "100074" "122690-H25_26-25H09-Samedi-24" 29 "SEMAIRI1" "Sermoise Mairie" [46.950318830452,3.1862503020266217] 166.56931487135955
2 "100074" "122690-H25_26-25H09-Samedi-24" 30 "SEARGOU2" "Les Argougneaux" [46.94842864291232,3.1397969999856876] 238.3560819959688
2 "100074" "122690-H25_26-25H09-Samedi-24" 31 "GIPTCAR2" "Gimouille Pont Carreau" [46.94547980339991,3.1207313571734168] 237.78069934230123
2 "100074" "122690-H25_26-25H09-Samedi-24" 32 "GITOTAL2" "Gimouille Total Gaz" [46.94511621989151,3.1121729544152315] 245.3871672597649
2 "100074" "122690-H25_26-25H09-Samedi-24" 33 "GIMAIRI1" "Gimouille Mairie" [46.94335685006099,3.0873544253598983] 207.68874124839166
2 "100074" "122690-H25_26-25H09-Samedi-24" 34 "GIGRACE1" "Gimouille La Grâce" [46.93640858335017,3.0876559002799646] 197.35466348302575
2 "100074" "122690-H25_26-25H09-Samedi-24" 35 "SAMEMAI2" "Saincaize Mairie" [46.927297304022716,3.0767394886094297] 239.54701076985756
2 "100074" "122690-H25_26-25H09-Samedi-24" 36 "SACITE1" "Saincaize Cité" [46.92998873334536,3.0728747830886323] 136.6037780616477
2 "100074" "122690-H25_26-25H09-Samedi-24" 37 "SA4CHEM1" "Les 4 Cheminées" [46.902189538941705,3.0694726449732253] 166.00238803264014
450 "100076" "179635-H25_26-25H09-Samedi-24" 12009 "SEMAIRI1" "Sermoise Mairie" [46.950318830452,3.1862503020266217] 166.56931487135955
302 "NOCE0006" "179487-H25_26-25H09-Samedi-24" 7752 "NENGARE1" "Nevers Gares" [47.00352280001088,3.1593360000071127] 1777.1145286093067
trip_distance_exceeds_shape_distance_below_threshold WARNING 232

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 232 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.
"122743-H25_26-25H09-Samedi-24" "150002" 6.838 6.837 4.888037405777893
"122744-H25_26-25H09-Samedi-24" "150002" 6.838 6.837 4.888037405777893
"122745-H25_26-25H09-Samedi-24" "150002" 6.838 6.837 4.888037405777893
"122746-H25_26-25H09-Samedi-24" "150002" 6.838 6.837 4.888037405777893
"179236-H25_26-25H09-Samedi-24" "30033" 11.621 11.62 5.26367373881602
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"179385-H25_26-25H09-Samedi-24" "T10038" 10.609 10.605 0.0
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"179411-H25_26-25H09-Samedi-24" "T10038" 10.609 10.605 0.0