1970 U.S. Professional Indoor – Doubles

Tom Okker and Marty Riessen were the defending champions, but lost in the second round this year.

Doubles
1970 U.S. Professional Indoor
Champions Ilie Năstase
Ion Ţiriac
Runners-up Arthur Ashe
Dennis Ralston
Final score6–4, 6–3

Ilie Năstase and Ion Ţiriac successfully defended their title, defeating Arthur Ashe and Dennis Ralston 6–4, 6–3 in the final.

Seeds

  1. John Newcombe / Tony Roche (Second Round)
  2. Tom Okker / Marty Riessen (Second Round)
  3. Robert Lutz / Stan Smith (Second Round)
  4. Ken Rosewall / Fred Stolle (First Round)

Draw

Key

Finals

Semifinals Final
          
  Jim McManus
Jim Osborne
1 3  
  Ilie Năstase
Ion Țiriac
6 6  
  Ilie Năstase
Ion Țiriac
6 6  
  Arthur Ashe
Dennis Ralston
4 3  
  Arthur Ashe
Dennis Ralston
7 4 6
  Andrés Gimeno
Manuel Santana
5 6 3

Top Half

First Round Second Round Quarterfinals Semifinals
2 T Okker
M Riessen
4 6 4
  J McManus
J Osborne
6 2 5
  J McManus
J Osborne
6 5 6
  EB Buchholz
R Moore
2 7 1
  EB Buchholz
R Moore
4 6 5
  G Battrick
B Carmichael
6 4 3
  J McManus
J Osborne
1 3  
  I Năstase
I Țiriac
6 6     I Năstase
I Țiriac
6 6  
  J Borowiak
H Rahim
4 4     I Năstase
I Țiriac
6 4 5
  C Richey
R Taylor
6 2 6   C Richey
R Taylor
3 6 4
  M Cox
G Stilwell
2 6 4   I Năstase
I Țiriac
6 4 6
  R Barth
T Gorman
6 6     T Koch
P Lall
3 6 4
  Donald Lutz
B Martin
1 1     R Barth
T Gorman
5 7 2
  T Koch
P Lall
7 5 5   T Koch
P Lall
7 5 5
4 K Rosewall
F Stolle
5 7 3

Bottom Half

First Round Second Round Quarterfinals Semifinals
3 R Lutz
S Smith
6 6  
  H-J Plötz
R Russell
2 1   3 R Lutz
S Smith
4 3  
  A Ashe
D Ralston
7 6     A Ashe
D Ralston
6 6  
  I El Shafei
T Ulrich
5 3     A Ashe
D Ralston
7 6  
  I Buding
J Fillol
4 6 5   R Emerson
R Laver
5 4  
  Ž Franulović
N Pilić
6 3 3   I Buding
J Fillol
1 4  
  R Emerson
R Laver
6 6  
  A Ashe
D Ralston
7 4 6
  A Gimeno
M Santana
5 6 3
  C Graebner
R Holmberg
5 5  
  A Gimeno
M Santana
7 7  
  A Gimeno
M Santana
6 5 6
  J Kodeš
J Loyo-Mayo
3 7 3
  J Kodeš
J Loyo-Mayo
7 3 5
1 J Newcombe
T Roche
5 6 4
gollark: As if that's possible.
gollark: Fearsome.
gollark: I might have to release apioforms from the beecloud.
gollark: It must comfort you to think so.
gollark: > There is burgeoning interest in designing AI-basedsystems to assist humans in designing computing systems,including tools that automatically generate computer code.The most notable of these comes in the form of the first self-described ‘AI pair programmer’, GitHub Copilot, a languagemodel trained over open-source GitHub code. However, codeoften contains bugs—and so, given the vast quantity of unvettedcode that Copilot has processed, it is certain that the languagemodel will have learned from exploitable, buggy code. Thisraises concerns on the security of Copilot’s code contributions.In this work, we systematically investigate the prevalence andconditions that can cause GitHub Copilot to recommend insecurecode. To perform this analysis we prompt Copilot to generatecode in scenarios relevant to high-risk CWEs (e.g. those fromMITRE’s “Top 25” list). We explore Copilot’s performance onthree distinct code generation axes—examining how it performsgiven diversity of weaknesses, diversity of prompts, and diversityof domains. In total, we produce 89 different scenarios forCopilot to complete, producing 1,692 programs. Of these, wefound approximately 40 % to be vulnerable.Index Terms—Cybersecurity, AI, code generation, CWE

References

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.