tedbus-hor-d778f98742d9ad — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-08T06:59:21Z,
for the dataset file:///shared/tedbus-hor-d778f98742d9ad_d0f74945.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. companies.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt
  10. trips_extensions.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 81
  • Shapes: 263
  • Stops: 900
  • Trips: 684

Specification Compliance report

15487 notices reported (2 errors, 14716 warnings, 769 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 2

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`.
"1000086-1000273" "1000080" 207 11.952 8 206 11.952 7
"1000050-1000177" "1000194" 129 3.118 7 128 3.118 6
expired_calendar WARNING 3

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
5 "311"
6 "307"
9 "312"
leading_or_trailing_whitespaces WARNING 3

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"routes.txt" 9 "route_long_name" "L06 - FLAYOSC - DRAGUIGNAN "
"trips.txt" 535 "trip_headsign" "LE MUY PRIMAIRE "
"trips.txt" 536 "trip_headsign" "LE MUY PRIMAIRE "
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"
missing_timepoint_value WARNING 14005

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 14005 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "1000028-1000145" 1
3 "1000028-1000145" 2
4 "1000028-1000145" 3
5 "1000028-1000145" 4
6 "1000028-1000145" 5
7 "1000028-1000145" 6
8 "1000028-1000145" 7
9 "1000028-1000145" 8
10 "1000028-1000145" 9
11 "1000028-1000145" 10
12 "1000028-1000145" 11
13 "1000028-1000145" 12
14 "1000028-1000145" 13
15 "1000028-1000145" 14
16 "1000028-1000145" 15
17 "1000028-1000145" 16
18 "1000028-1000145" 17
19 "1000082-1000269" 1
20 "1000082-1000269" 2
21 "1000082-1000269" 3
22 "1000082-1000269" 4
23 "1000101-1000293" 1
24 "1000101-1000293" 2
25 "1000101-1000293" 3
26 "1000101-1000293" 4
27 "1000101-1000293" 5
28 "1000105-1000298" 1
29 "1000105-1000298" 2
30 "1000105-1000298" 3
31 "1000105-1000298" 4
32 "1000105-1000298" 5
33 "1000105-1000298" 6
34 "1000105-1000298" 7
35 "1000105-1000298" 8
36 "1000052-1000179" 1
37 "1000052-1000179" 2
38 "1000052-1000179" 3
39 "1000052-1000179" 4
40 "1000052-1000179" 5
41 "1000052-1000179" 6
42 "1000052-1000179" 7
43 "1000058-1000186" 1
44 "1000058-1000186" 2
45 "1000058-1000186" 3
46 "1000058-1000186" 4
47 "1000058-1000186" 5
48 "1000058-1000186" 6
49 "1000058-1000186" 7
50 "1000058-1000186" 8
51 "1000059-1000187" 1
mixed_case_recommended_field WARNING 616

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 616 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" "LES BASSES INFOUNIERES" 5
"stops.txt" "stop_name" "MAISON D ENFANT" 6
"stops.txt" "stop_name" "SILLANS ECOLE" 7
"stops.txt" "stop_name" "PLACE DU 8 MAI" 8
"stops.txt" "stop_name" "COLLEGE P.E. VICTOR" 35
"stops.txt" "stop_name" "fouan de l'olivier 2" 46
"stops.txt" "stop_name" "ch du plateau" 71
"stops.txt" "stop_name" "LA CARAVANE" 82
"stops.txt" "stop_name" "ECOLE LA BASTIDE" 124
"stops.txt" "stop_name" "4 CHEMINS RD 562" 130
"stops.txt" "stop_name" "EP LA COLLE" 143
"stops.txt" "stop_name" "COLL ROSTAND" 239
"stops.txt" "stop_name" "4 RMAT" 295
"stops.txt" "stop_name" "EP R CASSIN" 304
"stops.txt" "stop_name" "ECOLES FIGANIERES" 310
"stops.txt" "stop_name" "LES ECOLES" 322
"stops.txt" "stop_name" "EP GASTON MAGNAN" 337
"stops.txt" "stop_name" "ECOLE LES OLIVIERS" 338
"stops.txt" "stop_name" "ECOLES LA MOTTE" 341
"stops.txt" "stop_name" "EP DU CENTRE" 364
"stops.txt" "stop_name" "EP/EM LA PEYROUA" 365
"stops.txt" "stop_name" "COLLEGE LA PEYROUA" 381
"stops.txt" "stop_name" "LA GARE" 383
"stops.txt" "stop_name" "LES BASSES INFOUNIER" 400
"stops.txt" "stop_name" "MAISON D ENFANT" 401
"stops.txt" "stop_name" "SILLANS ECOLE" 402
"stops.txt" "stop_name" "PLACE DU 8 MAI" 403
"stops.txt" "stop_name" "COLLEGE P.E. VICTOR" 439
"stops.txt" "stop_name" "fouan de l'olivier 2" 450
"stops.txt" "stop_name" "ch du plateau" 478
"stops.txt" "stop_name" "LA CARAVANE" 491
"stops.txt" "stop_name" "4 CHEMINS RD 562" 546
"stops.txt" "stop_name" "EP LA COLLE" 559
"stops.txt" "stop_name" "4 chemins dragui" 654
"stops.txt" "stop_name" "COLL ROSTAND" 685
"stops.txt" "stop_name" "4 RMAT" 776
"stops.txt" "stop_name" "4 RMAT" 785
"stops.txt" "stop_name" "EP R CASSIN" 794
"stops.txt" "stop_name" "LES ECOLES" 813
"stops.txt" "stop_name" "EP GASTON MAGNAN" 831
"stops.txt" "stop_name" "ECOLE LES OLIVIERS" 832
"stops.txt" "stop_name" "EP DU CENTRE" 858
"stops.txt" "stop_name" "EP/EM LA PEYROUA" 859
"stops.txt" "stop_name" "COLLEGE LA PEYROUAS" 877
"stops.txt" "stop_name" "LA GARE" 880
"stops.txt" "stop_name" "LES FOURCHES" 899
"routes.txt" "route_long_name" "L01 - LA CLAPPE - HOPITAL - KOENIG" 2
"routes.txt" "route_long_name" "L10 - LE MUY - DRAGUIGNAN" 3
"routes.txt" "route_long_name" "L11 - LORGUES - DRAGUIGNAN" 4
"routes.txt" "route_long_name" "L13 - LA MOTTE-LE MUY-LORGUES" 5
route_color_contrast WARNING 3

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.
"1000003" 4 "#F5E332" "#FFFFFF"
"1000026" 27 "#C9E336" "#FFFFFF"
"1000341" 82 "#C9E336" "#FFFFFF"
route_long_name_contains_short_name WARNING 68

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.

Only the first 50 of 68 affected records are displayed below.

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`.
"1000010" 11 "101" "101 - MONTFERRAT - CHATEAUDOUBLE - FIGANIERES - DRAGUIGNAN"
"1000011" 12 "102" "102 - CHATEAUDOUBLE - FIGANIERES"
"1000012" 13 "103" "103 - LA BASTIDE - FIGANIERES"
"1000013" 14 "104" "104 - MONTFERRAT PRIMAIRE"
"1000014" 15 "105" "105 - MONTFERRAT PRIMAIRE"
"1000015" 16 "106" "106 - CALLAS - DRAGUIGNAN"
"1000016" 17 "107" "107 - CLAVIERS - BARGEMON - DRAGUIGNAN"
"1000017" 18 "108" "108 - CLAVIERS - BARGEMON - FIGANIERES"
"1000018" 19 "109" "109 - CALLAS - FIGANIERES"
"1000019" 20 "110" "110 - CALLAS - PRIMAIRE"
"1000020" 21 "111" "111 - CLAVIERS - LYCEE LE MUY"
"1000021" 22 "112" "112 - DRAGUIGNAN - ST HERMENTAIRE"
"1000022" 23 "113" "113 - DRAGUIGNAN - LES OLIVIERS"
"1000023" 24 "114" "114 - DRAGUIGNAN - FLAYOSQUET"
"1000024" 25 "115" "115 - DRAGUIGNAN - NOURRADONS"
"1000025" 26 "116" "116 - DRAGUIGNAN - LES SELVES"
"1000026" 27 "117" "117 - DRAGUIGNAN - PONT D'AUPS"
"1000027" 28 "118" "118 - AMPUS - DRAGUIGNAN"
"1000028" 29 "119" "119 - LA BASTIDE PRIMAIRE"
"1000030" 30 "121" "121 - COMPS - DRAGUIGNAN"
"1000031" 31 "201" "201 - LE MUY - TRANS - DRAGUIGNAN"
"1000032" 32 "202" "202 - LA MOTTE - DRAGUIGNAN"
"1000033" 33 "203" "203 - DRAGUIGNAN - TRANS - LE MUY"
"1000034" 34 "204" "204 - LA MOTTE - FIGANIERES"
"1000035" 35 "205" "205 - LA MOTTE PRIMAIRE + RETOUR LE MUY"
"1000036" 36 "206" "206 - LA MOTTE - FIGANIERES"
"1000037" 37 "207" "207 - LA MOTTE - FIGANIERES + PRIM FIG"
"1000038" 38 "208" "208 - LES ARCS - LE MUY"
"1000039" 39 "209" "209 - TRANS - LES ARCS - LYCEE DU MUY"
"1000040" 40 "210" "210 - VIDAUBAN - LE MUY"
"1000041" 41 "211" "211 - LA MOTTE - LE MUY"
"1000042" 42 "212" "212 - LE MUY - PRIMAIRE"
"1000043" 43 "213" "213 - LE MUY - COLLEGE"
"1000044" 44 "214" "214 - LE MUY - LYCEE DU MUY"
"1000045" 45 "301" "301 - TRANS - COLLEGE DES ARCS"
"1000046" 46 "302" "302 - TRANS - LES ARCS"
"1000047" 47 "303" "303 - TRANS - LES ARCS"
"1000048" 48 "304" "304 - CALLAS-DRAGUIGNAN + DRAGUIGNAN - LES ARCS"
"1000049" 49 "313" "313 - TRANS - COLL THOMAS"
"1000050" 50 "305" "305 - LES ARCS - DRAGUIGNAN"
"1000051" 51 "306" "306 - LORGUES - LES ARCS - DRAGUIGNAN"
"1000052" 52 "307" "307 - TARADEAU - LES ARCS"
"1000053" 53 "308" "308 - VIDAUBAN - DRAGUIGNAN"
"1000054" 54 "309" "309 - VIDAUBAN - DRAGUIGNAN"
"1000055" 55 "310" "310 - LES ARCS - LA BAUME"
"1000056" 56 "311" "311 - LES ARCS - NOURRADONS"
"1000057" 57 "312" "312 - LES ARCS - 4 CHEMINS"
"1000058" 58 "401" "401 - LES CHAUMES - SECONDAIRE"
"1000059" 59 "402" "402 - LES CHAUMES - PRIMAIRE"
"1000060" 60 "403" "403 - VIDAUBAN - PEISSONNEL"
stop_too_far_from_shape WARNING 16

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

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.
517 "1000300" "1000300-1000869" 228 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
532 "1000062" "1000062-1000190" 277 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
522 "1000058" "1000058-1000186" 50 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
523 "1000059" "1000059-1000187" 56 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
524 "1000175" "1000175-1000493" 1666 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
518 "1000055" "1000055-1000182" 169 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
519 "1000299" "1000299-1000867" 1648 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
521 "1000057" "1000057-1000185" 3828 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
511 "1000171" "1000171-1000489" 1614 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
512 "1000172" "1000172-1000490" 3820 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
509 "1000052" "1000052-1000179" 42 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
515 "1000173" "1000173-1000491" 1629 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
514 "1000053" "1000053-1000180" 476 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
510 "1000170" "1000170-1000488" 142 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
490 "1000161" "1000161-1000477" 1503 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
448 "1000575" "1000575-1004774" 4020 "1000624" "LYCEE Val d'Argens" [43.47308999999999,6.545699999999999] 130.34382923418232
unexpected_enum_value WARNING 1

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" 32 "route_type" 712
big_gap_in_service INFO 83

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

Only the first 50 of 83 affected records are displayed below.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"280" "2026-07-03" "2026-09-01" 59
"280" "2026-10-16" "2026-11-02" 16
"280" "2026-12-18" "2027-01-04" 16
"280" "2027-02-19" "2027-03-08" 16
"280" "2027-04-16" "2027-05-03" 16
"292" "2026-07-03" "2026-09-01" 59
"292" "2026-10-16" "2026-11-02" 16
"292" "2026-12-18" "2027-01-04" 16
"292" "2027-02-19" "2027-03-08" 16
"292" "2027-04-16" "2027-05-03" 16
"291" "2026-07-01" "2026-09-02" 62
"291" "2026-10-14" "2026-11-04" 20
"291" "2026-12-16" "2027-01-06" 20
"291" "2027-02-17" "2027-03-10" 20
"291" "2027-04-14" "2027-05-05" 20
"308" "2026-07-03" "2026-09-04" 62
"308" "2026-10-16" "2026-11-06" 20
"308" "2026-12-18" "2027-01-08" 20
"308" "2027-02-19" "2027-03-12" 20
"308" "2027-04-16" "2027-05-14" 27
"309" "2026-07-02" "2026-09-01" 60
"309" "2026-10-15" "2026-11-02" 17
"309" "2026-12-17" "2027-01-04" 17
"309" "2027-02-18" "2027-03-08" 17
"309" "2027-04-15" "2027-05-03" 17
"317" "2026-08-29" "2027-07-07" 311
"318" "2026-07-04" "2026-09-01" 58
"283" "2026-07-03" "2026-09-01" 59
"310" "2026-07-03" "2026-09-03" 61
"310" "2026-10-16" "2026-11-02" 16
"310" "2026-12-18" "2027-01-04" 16
"310" "2027-02-19" "2027-03-08" 16
"310" "2027-04-16" "2027-05-03" 16
"288" "2026-08-26" "2026-10-21" 55
"288" "2026-10-28" "2026-12-23" 55
"288" "2026-12-30" "2027-02-24" 55
"288" "2027-03-03" "2027-04-21" 48
"288" "2027-04-28" "2027-07-07" 69
"289" "2026-06-27" "2026-09-05" 69
"289" "2026-10-10" "2026-11-07" 27
"289" "2026-12-12" "2027-01-09" 27
"289" "2027-02-13" "2027-03-13" 27
"289" "2027-04-10" "2027-05-15" 34
"290" "2026-08-31" "2026-10-17" 46
"290" "2026-10-31" "2026-12-19" 48
"290" "2027-01-02" "2027-02-20" 48
"290" "2027-03-06" "2027-04-17" 41
"290" "2027-05-07" "2027-07-03" 56
"313" "2026-07-03" "2026-09-02" 60
"313" "2026-10-16" "2026-11-04" 18
trip_with_shape_dist_traveled_but_no_shape_distances INFO 684

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 684 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
309 "1000443-1003806" "1000443" 1937
310 "1000443-1003807" "1000443" 1946
445 "1000023-1000140" "1000023" 3796
488 "1000644-1005751" "1000644" 13181
422 "1000012-1000117" "1000012" 294
357 "1000560-1004716" "1000560" 1955
204 "1000156-1000464" "1000156" 3135
600 "1000087-1000275" "1000087" 229
338 "1000560-1004717" "1000560" 1973
351 "1000560-1004718" "1000560" 1991
205 "1000156-1000466" "1000156" 3171
402 "1000380-1003060" "1000380" 3723
352 "1000560-1004719" "1000560" 2009
463 "1000142-1000444" "1000142" 1365
292 "1000620-1005682" "1000620" 11907
299 "1000620-1005680" "1000620" 11853
280 "1000620-1005681" "1000620" 11880
236 "1000618-1005603" "1000618" 10651
638 "1000214-1000621" "1000214" 13995
263 "1000618-1005604" "1000618" 10679
637 "1000214-1000620" "1000214" 13989
266 "1000618-1005601" "1000618" 10595
271 "1000618-1005602" "1000618" 10623
401 "1000380-1003059" "1000380" 3709
400 "1000380-1003058" "1000380" 3695
248 "1000618-1005600" "1000618" 10567
253 "1000618-1005609" "1000618" 10819
255 "1000618-1005607" "1000618" 10763
269 "1000618-1005608" "1000618" 10791
245 "1000618-1005605" "1000618" 10707
502 "1000167-1000485" "1000167" 1577
237 "1000618-1005606" "1000618" 10735
593 "1000201-1000594" "1000201" 888
437 "1000538-1004624" "1000538" 3751
274 "1000620-1005679" "1000620" 11826
164 "1000383-1003069" "1000383" 13272
284 "1000620-1005675" "1000620" 11718
278 "1000620-1005676" "1000620" 11745
279 "1000620-1005677" "1000620" 11772
276 "1000620-1005678" "1000620" 11799
285 "1000620-1005671" "1000620" 11610
288 "1000620-1005672" "1000620" 11637
654 "1000405-1003477" "1000405" 303
399 "1000380-1003057" "1000380" 3737
293 "1000620-1005673" "1000620" 11664
655 "1000293-1000859" "1000293" 209
297 "1000620-1005674" "1000620" 11691
641 "1000098-1000290" "1000098" 13129
592 "1000201-1000593" "1000201" 867
273 "1000620-1005670" "1000620" 11583
unknown_file INFO 2

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"trips_extensions.txt"
"companies.txt"