GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T18:06:27Z,
for the dataset file:///shared/citso.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
CITSO
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-01-06
Feed End Date:
2026-06-21

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 26
  • Shapes: 102
  • Stops: 657
  • Trips: 2625

Specification Compliance report

39888 notices reported (1 errors, 39886 warnings, 1 infos)

Notice Code Severity Total
trip_distance_exceeds_shape_distance ERROR 1

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

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.
"3328073-SO-H26-SO_GTFS-Fête-1-01" "320189" 20.246 20.245 12.138544124383342
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 120

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 120 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.
"270219" 15940 4.179 130009 15939 4.179 130008 0.3335853034368008
"1400171" 46974 5.505 20003 46973 5.505 20002 0.3426251269144726
"1400172" 47617 4.763 30180 47616 4.763 30179 0.6671706068736016
"1400172" 47805 11.858 150003 47804 11.858 150002 0.3426251269144726
"1400172" 48061 22.05 520006 48060 22.05 520005 0.3426251269144726
"1400172" 48137 25.938 590003 48136 25.938 590002 0.6636152893278298
"1400173" 48410 4.763 30180 48409 4.763 30179 0.6671706068736016
"1400173" 48598 11.858 150003 48597 11.858 150002 0.3426251269144726
"210154" 7764 7.615 100058 7763 7.615 100057 0.2592672840773249
"T-250028" 52961 12.382 230013 52960 12.382 230012 0.45158732482925845
"330200" 29090 6.01 200023 29089 6.01 200022 0.2357184593018578
"1400170" 46280 4.763 30180 46279 4.763 30179 0.6671706068736016
"1400170" 46468 11.858 150003 46467 11.858 150002 0.3426251269144726
"1400170" 46724 22.05 520006 46723 22.05 520005 0.3426251269144726
"1400170" 46823 26.709 620003 46822 26.709 620002 0.6636152893278298
"1400170" 46851 27.733 630016 46850 27.733 630015 0.7939027729390662
"T-250027" 52182 12.382 230013 52181 12.382 230012 0.45158732482925845
"T-250031" 54338 12.382 230013 54337 12.382 230012 0.45158732482925845
"10539" 586 25.068 230002 585 25.068 230001 0.5907976295389447
"10539" 853 37.507 440002 852 37.507 440001 0.2357226846645127
"T-250030" 53320 4.127 90009 53319 4.127 90008 0.7071239525624569
"T-250030" 53559 10.356 180013 53558 10.356 180012 0.45158732482925845
"220190" 9479 1.658 60014 9478 1.658 60013 0.13590084708462857
"220190" 9633 5.798 190005 9632 5.798 190004 0.46887589446678807
"230148" 10422 7.617 100058 10421 7.617 100057 0.2592672840773249
"10541" 3424 37.737 640085 3423 37.737 640084 0.23457631865984427
"210156" 8718 5.342 190014 8717 5.342 190013 0.3317723291869196
"10540" 2042 23.969 510085 2041 23.969 510084 0.23457631865984427
"210155" 8020 7.615 100058 8019 7.615 100057 0.2592672840773249
"210155" 8409 20.105 340014 8408 20.105 340013 0.3317723291869196
"10542" 4470 25.068 230002 4469 25.068 230001 0.5907976295389447
"10542" 4737 37.507 440002 4736 37.507 440001 0.2357226846645127
"1110699" 33094 14.675 290012 33093 14.675 290011 0.5027983004725661
"320187" 26054 7.611 100058 26053 7.611 100057 0.2592672840773249
"320187" 26320 18.23 280014 26319 18.23 280013 0.3317723291869196
"1110698" 32306 10.893 110058 32305 10.893 110057 0.2592672840773249
"1110698" 32582 24.182 280003 32581 24.182 280002 0.3426251269144726
"1110698" 32753 34.423 480015 32752 34.423 480014 0.5029854073613447
"320184" 25255 4.755 160014 25254 4.755 160013 0.3317723291869196
"320182" 23992 7.611 100058 23991 7.611 100057 0.2592672840773249
"320182" 24258 18.23 280014 24257 18.23 280013 0.3317723291869196
"320183" 24760 7.611 100058 24759 7.611 100057 0.2592672840773249
"320183" 25026 18.23 280014 25025 18.23 280013 0.3317723291869196
"240105" 11268 6.662 250002 11267 6.662 250001 0.11119510090982554
"280356" 20931 8.647 30005 20930 8.647 30004 0.38318376191897213
"280356" 20966 9.921 30040 20965 9.921 30039 0.27167489563791725
"280356" 20998 10.745 30072 20997 10.745 30071 0.707048844424243
"280356" 21693 40.528 500109 21692 40.528 500108 0.23457631865984427
"280354" 18997 8.647 30005 18996 8.647 30004 0.38318376191897213
"280354" 19032 9.921 30040 19031 9.921 30039 0.27167489563791725
equal_shape_distance_same_coordinates WARNING 3712

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 3712 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`.
"270219" 15819 0.211 20001 15818 0.211 10007
"270219" 15831 0.637 30001 15830 0.637 20012
"270219" 15848 0.956 40001 15847 0.956 30017
"270219" 15855 1.321 50001 15854 1.321 40007
"270219" 15874 1.849 60001 15873 1.849 50019
"270219" 15888 2.217 70001 15887 2.217 60014
"270219" 15903 2.938 80001 15902 2.938 70015
"270219" 15907 3.182 90001 15906 3.182 80004
"270219" 15920 3.428 100001 15919 3.428 90013
"270219" 15925 3.526 110001 15924 3.526 100005
"270219" 15928 3.679 120001 15927 3.679 110003
"270219" 15932 3.926 130001 15931 3.926 120004
"270219" 15941 4.179 140001 15940 4.179 130009
"270219" 15952 4.401 150001 15951 4.401 140011
"270219" 15964 4.733 160001 15963 4.733 150012
"270219" 15973 5.041 170001 15972 5.041 160009
"270219" 15976 5.185 180001 15975 5.185 170003
"270219" 15981 5.413 190001 15980 5.413 180005
"270219" 15990 5.785 200001 15989 5.785 190009
"270219" 15995 6.19 210001 15994 6.19 200005
"270219" 16013 6.542 220001 16012 6.542 210018
"270219" 16019 6.852 230001 16018 6.852 220006
"270219" 16036 7.343 240001 16035 7.343 230017
"1400171" 46972 5.474 20001 46971 5.474 10081
"1400171" 46986 5.791 30001 46985 5.791 20014
"1400171" 46993 6.201 40001 46992 6.201 30007
"1400171" 46997 6.4 50001 46996 6.4 40004
"1400171" 47000 6.573 60001 46999 6.573 50003
"1400171" 47005 6.747 70001 47004 6.747 60005
"1400171" 47012 7.074 80001 47011 7.074 70007
"1400171" 47017 7.276 90001 47016 7.276 80005
"1400171" 47027 7.605 100001 47026 7.605 90010
"1400171" 47032 8.066 110001 47031 8.066 100005
"1400171" 47037 8.392 120001 47036 8.392 110005
"1400171" 47041 8.708 130001 47040 8.708 120004
"1400171" 47044 9.113 140001 47043 9.113 130003
"1400171" 47049 9.331 150001 47048 9.331 140005
"1400171" 47053 9.489 160001 47052 9.489 150004
"1400171" 47060 9.893 170001 47059 9.893 160007
"1400171" 47066 9.971 180001 47065 9.971 170006
"1400171" 47072 10.098 190001 47071 10.098 180006
"1400171" 47079 10.321 200001 47078 10.321 190007
"1400171" 47086 10.48 210001 47085 10.48 200007
"1400171" 47095 10.742 220001 47094 10.742 210009
"1400171" 47099 10.907 230001 47098 10.907 220004
"1400171" 47104 11.075 240001 47103 11.075 230005
"1400171" 47113 11.397 250001 47112 11.397 240009
"1400171" 47117 11.505 260001 47116 11.505 250004
"1400171" 47128 11.889 270001 47127 11.889 260011
"1400171" 47133 12.097 280001 47132 12.097 270005
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 4

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_version"
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
non_ascii_or_non_printable_char WARNING 34277

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 34277 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"calendar.txt" 6 "service_id" "SO-H26-SO_GTFS-Fête-1-01"
"calendar.txt" 7 "service_id" "SO-H26-SO_GTFS-Fête-2-02"
"calendar_dates.txt" 8 "service_id" "SO-H26-SO_GTFS-Fête-1-01"
"calendar_dates.txt" 9 "service_id" "SO-H26-SO_GTFS-Fête-1-01"
"calendar_dates.txt" 10 "service_id" "SO-H26-SO_GTFS-Fête-2-02"
"stop_times.txt" 112 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 113 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 114 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 115 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 116 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 117 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 118 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 119 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 120 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 121 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 122 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 123 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 124 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 125 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 126 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 127 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 128 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 129 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 130 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 131 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 132 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 133 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 134 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 135 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 136 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 137 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 138 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 139 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 140 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 141 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 142 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 143 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 144 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 145 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 146 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 147 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 148 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 149 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 150 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 151 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 152 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 153 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 154 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 155 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
"stop_times.txt" 156 "trip_id" "3310329-SO-H26-SO_GTFS-Fête-1-01"
stop_too_far_from_shape_using_user_distance WARNING 3

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.
2052 "280356" "14024415-SO-H26-SO_GTFS-Semaine-01" 49229 "78184" "Principale / D'Youville" [45.3606885747116,-73.74776887286818] 122.11145015790986
2054 "280354" "14024416-SO-H26-SO_GTFS-Semaine-01" 49329 "78184" "Principale / D'Youville" [45.3606885747116,-73.74776887286818] 122.11145015790986
2058 "280351" "14024418-SO-H26-SO_GTFS-Semaine-01" 49521 "78184" "Principale / D'Youville" [45.3606885747116,-73.74776887286818] 122.11145015790986
trip_distance_exceeds_shape_distance_below_threshold WARNING 1761

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 1761 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.
"3310329-SO-H26-SO_GTFS-Samedi-01" "1110699" 32.399 32.385 5.868652435871287
"3310329-SO-H26-SO_GTFS-Dimanche-01" "1110699" 32.399 32.385 5.868652435871287
"3310329-SO-H26-SO_GTFS-Fête-1-01" "1110711" 32.05 32.037 5.868652435871287
"3310332-SO-H26-SO_GTFS-Samedi-01" "1110704" 32.421 32.382 8.0928156408881
"3310332-SO-H26-SO_GTFS-Dimanche-01" "1110704" 32.421 32.382 8.0928156408881
"3310332-SO-H26-SO_GTFS-Fête-1-01" "1110704" 32.421 32.382 8.0928156408881
"3327636-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327636-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327636-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327637-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327637-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327637-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327638-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327638-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327638-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327639-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327639-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327639-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327640-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327640-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327640-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327641-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327641-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327641-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327642-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327642-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327642-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327643-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327643-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327643-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327644-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327644-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327644-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327645-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327645-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327645-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327646-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327646-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327646-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327647-SO-H26-SO_GTFS-Samedi-01" "10541" 57.847 57.844 8.281995445227896
"3327647-SO-H26-SO_GTFS-Dimanche-01" "10541" 57.847 57.844 8.281995445227896
"3327647-SO-H26-SO_GTFS-Fête-1-01" "10541" 57.847 57.844 8.281995445227896
"3327657-SO-H26-SO_GTFS-Samedi-01" "200188" 16.541 16.54 7.947480386292326
"3327657-SO-H26-SO_GTFS-Dimanche-01" "200188" 16.541 16.54 7.947480386292326
"3327657-SO-H26-SO_GTFS-Fête-1-01" "200188" 16.541 16.54 7.947480386292326
"3327658-SO-H26-SO_GTFS-Samedi-01" "200188" 16.541 16.54 7.947480386292326
"3327658-SO-H26-SO_GTFS-Dimanche-01" "200188" 16.541 16.54 7.947480386292326
"3327658-SO-H26-SO_GTFS-Fête-1-01" "200188" 16.541 16.54 7.947480386292326
"3327659-SO-H26-SO_GTFS-Samedi-01" "200188" 16.541 16.54 7.947480386292326
"3327659-SO-H26-SO_GTFS-Dimanche-01" "200188" 16.541 16.54 7.947480386292326
unexpected_enum_value WARNING 8

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. fieldName (?) The name of the field where the error occurred. fieldValue (?) Faulty value.
"routes.txt" 20 "route_type" 1501
"routes.txt" 21 "route_type" 1501
"routes.txt" 22 "route_type" 1501
"routes.txt" 23 "route_type" 1501
"routes.txt" 24 "route_type" 1501
"routes.txt" 25 "route_type" 1501
"routes.txt" 26 "route_type" 1501
"routes.txt" 27 "route_type" 1501
unknown_column INFO 1

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"stop_times.txt" "platform_track" 10