trimming long lines

tests/use_case/test_arxiv_repo.py

@@ -119,8 +119,11 @@
  {
  "publish_date": "2018-09-20T17:48:27Z",
  "authors": ["Mart Kartašev", "Carlo Rapisarda", "Dominik Fay"],
- "title": "Implementing Adaptive Separable Convolution for Video Frame\n Interpolation",
- "abstract": "As Deep Neural Networks are becoming more popular, much of the attention is\nbeing devoted to Computer Vision problems that used to be solved with more\ntraditional approaches.",
+ "title": "Implementing Adaptive Separable Convolution for Video"
+ +" Frame\n Interpolation",
+ "abstract": "As Deep Neural Networks are becoming more popular,"
+ +" much of the attention is\nbeing devoted to Computer Vision problems"
+ +" that used to be solved with more\ntraditional approaches.",
  "id": "http:https://arxiv.org/abs/1809.07759v1",
  "link": "http:https://arxiv.org/abs/1809.07759v1",
  "pdf": "http:https://arxiv.org/pdf/1809.07759v1",
@@ -137,8 +140,12 @@
  "S. Hamid Rezatofighi",
  "Silvio Savarese",
  ],
- "title": "SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and\n Physical Constraints",
- "abstract": "This paper addresses the problem of path prediction for multiple interacting\nagents in a scene, which is a crucial step for many autonomous platforms such\nas self-driving cars and social robots.",
+ "title": "SoPhie: An Attentive GAN for Predicting Paths Compliant"
+ +" to Social and\n Physical Constraints",
+ "abstract": "This paper addresses the problem of path prediction for"
+ +" multiple interacting\nagents in a scene, which is a crucial step"
+ +" for many autonomous platforms such\nas self-driving cars and "
+ +"social robots.",
  "id": "http:https://arxiv.org/abs/1806.01482v2",
  "link": "http:https://arxiv.org/abs/1806.01482v2",
  "pdf": "http:https://arxiv.org/pdf/1806.01482v2",