Bouches-du-Rhône's 6th constituency
The 6th constituency of Bouches-du-Rhône is a French legislative constituency in Bouches-du-Rhône.
![]() constituency | |||
![]() Constituency in Bouches-du-Rhône Department (white area is the Étang de Berre lagoon) | |||
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Deputy |
| ||
---|---|---|---|
Department | Bouches-du-Rhône |
Deputies
Election | Member | Party | |
---|---|---|---|
2007 | Guy Teissier | UMP | |
2012 | Guy Teissier | UMP | |
2017 | Guy Teissier | LR |
Elections
2017
Candidate | Label | First round | Second round | |||
---|---|---|---|---|---|---|
Votes | % | Votes | % | |||
Eléonore Leprettre | MoDem | 11,169 | 33.15 | 12,412 | 46.47 | |
Guy Teissier | LR | 8,659 | 25.70 | 14,299 | 53.53 | |
Eléonore Bez | FN | 6,171 | 18.31 | |||
Annie Gal | FI | 3,894 | 11.56 | |||
Hervé Menchon | ECO | 1,115 | 3.31 | |||
Anthony Gonçalves | PCF | 969 | 2.88 | |||
Dominique Laumonier | ECO | 493 | 1.46 | |||
Véronique Puccini | DLF | 315 | 0.93 | |||
Vincent Vidal | EXD | 254 | 0.75 | |||
Elisa Pergamenter | DIV | 156 | 0.46 | |||
Michel Villeneuve | PRG | 138 | 0.41 | |||
Véronique Morel | EXG | 131 | 0.39 | |||
David Dufour | ECO | 121 | 0.36 | |||
Clément Dufour | DIV | 57 | 0.17 | |||
Stéphanie Brun | DVD | 54 | 0.16 | |||
Abdel Labibes | DVD | 0.00 | ||||
Votes | 33,696 | 100.00 | 26,711 | 100.00 | ||
Valid votes | 33,696 | 98.64 | 26,711 | 91.92 | ||
Blank votes | 370 | 1.08 | 1,864 | 6.41 | ||
Null votes | 93 | 0.27 | 483 | 1.66 | ||
Turnout | 34,159 | 45.15 | 29,058 | 38.41 | ||
Abstentions | 41,506 | 54.85 | 46,594 | 61.59 | ||
Registered voters | 75,665 | 75,652 | ||||
Source: Ministry of the Interior[1] |
2012
Candidate | Party | 1st round | 2nd round | ||||
---|---|---|---|---|---|---|---|
Votes | % | Votes | % | ||||
Guy Teissier | Union for a Popular Movement | UMP | 15,063 | 37.06% | 17,101 | 42.45% | |
Pierre Semeriva | Europe Ecology – The Greens | EELV | 11,016 | 27.10% | 15,091 | 37.46% | |
Laurent Comas | Front National | FN | 9,218 | 22.68% | 8,089 | 20.08% | |
Anna Rosso Roig | Left Front | FG | 2,879 | 7.08% | |||
Cédric Matthews | Miscellaneous Left | DVG | 705 | 1.73% | |||
Patrick Filosa | CEN | 532 | 1.31% | ||||
Eric Talles | Ecologist | ECO | 404 | 0.99% | |||
Dominique Esteve-Narsisyan | Ecologist | ECO | 247 | 0.61% | |||
Patrick Placente | Other | AUT | 198 | 0.49% | |||
Stéphanie Brun-Pothin | Miscellaneous Right | DVD | 172 | 0.42% | |||
David Larriven | Far Left | EXG | 113 | 0.28% | |||
Jacqueline Grandel | Far Left | EXG | 100 | 0.25% | |||
Michel Villeneuve | Radical Party of the Left | PRG | 0.00% | ||||
Total | 40,647 | 100% | 40,281 | 100% | |||
Registered voters | 72,571 | 72,561 | |||||
Blank/Void ballots | 384 | 0.94% | 425 | 1.04% | |||
Turnout | 41,031 | 56.54% | 40,706 | 56.10% | |||
Abstentions | 31,540 | 43.46% | 31,855 | 43.90% | |||
Result | UMP HOLD |
2007
Party | Candidate | Votes | % | ± | |
---|---|---|---|---|---|
UMP | Guy Teissier | 21,603 | 55.29 | ||
PS | Ferten Djendoubi | 7,181 | 18.38 | ||
FN | Michèle Carayon | 2,898 | 7.42 | ||
MoDem | Michel Collet Fenetrier | 2,094 | 5.36 | ||
PCF | Brigitte Masson | 1,609 | 4.12 | ||
EXG | Nicole Colomb | 1,076 | 2.75 | ||
LV | Christian Raynaud | 693 | 1.77 | ||
ECO | Michel Villeneuve | 499 | 1.28 | ||
ECO | Mylène Gugliotta | 391 | 1.00 | ||
EXG | Jacqueline Grandel | 254 | 0.65 | ||
MPF | Valérie Ruiz | 245 | 0.63 | ||
EXD | Odette Guillard | 223 | 0.57 | ||
Independent | Christian Guitton | 185 | 0.47 | ||
Independent | Yves Pena | 119 | 0.30 | ||
Independent | Gérard Exbrayat | 0 | 0.00 | ||
Majority | 14,422 | 36.91 | |||
Turnout | 39,610 | 56.50 | |||
UMP hold | Swing |
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
gollark: https://arxiv.org/pdf/2108.09293.pdf
gollark: This is probably below basically everywhere's minimum wage.
gollark: (in general)
References
- "Résultats des élections législatives 2017" [Results of 2017 Legislative Election] (in French). Ministry of the Interior.
- https://www.interieur.gouv.fr/Elections/Les-resultats/Legislatives/elecresult__LG2012/(path)/LG2012/013/01306.html
- "Résultats des élections législatives 2007" [Results of 2007 Legislative Election] (in French). Ministry of the Interior.
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